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Germany

Joint Forest Sector Questionnaire - 2019 - National Reply - Germany

Reply as received from country

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Guidelines

Dear Correspondent, Thank you for contributing to the Joint Forest Sector Questionnaire (JFSQ). Before filling in the worksheets, please read these guidelines. The 2019 JFSQ has been changed following the decisions of the Inter-Secretariat Working Group of January 2019. Please use only this questionnaire to report your data. The 2019 JFSQ contains no pre-filling. Use this questionnaire also to revise any historical data - fill in the correct year and your name on the cover page. The worksheet 'LAM' covers data on Glulam and X-lam. This sheet has a yellow drop-down cell where you can choose your unit of measurement. The total number of sheets to be filled in is eight core sheets (green tabs - to be validated by Eurostat) plus three for ITTO (brown tabs - not validated by Eurostat). The following auxiliary sheets (grey tabs) are meant to help you and to improve quality: • 'Check JQ-EU' and 'Check EU1-JQ2' ensure that data are consistent • Two cross-reference tables with the classifications; the CN and PRODCOM cross-references are provided in a separate file. Put all your data into one Excel file. If you send some data in later, give your file a new version number and date (see A.1.) and notify us of the changes with respect to the previous version. Only send us completely filled-in sheets, highlighting the changes in yellow. Do not delete worksheets. Each sheet has a working area for your input. Most sheets have checking cells and tables. Each working area has white cells and shaded cells. Eurostat has highlighted the variables it considers most important for its publications - please fill those in as a priority. When you submit a revision, please highlight changes in yellow and explain them in the appropriate 'Note' column. Please use flags and notes (see A.5). This information is important for Eurostat. A. General recommendations A.1 Please use eDAMIS to send your questionnaire to Eurostat. Choose the correct domain ("FOREST_A_A") and the correct reference year (for this data collection: 2019). A.2 Fill in the JFSQ quality report if you haven't done so yet. If you already sent the quality report to Eurostat before, please fill it in only if major changes had happened to its content. A.3 The cover page is for your contact details, which are automatically copied to the other worksheets • Check your country code • If necessary change the reference year [red cell] as appropriate - the previous year will appear automatically If you distribute worksheets to various experts, they can each put their contact details into the sheets. It will then be your job to put all the information together again and to verify the checking tables, since some of them will not work as designed in isolation. A.4 Look at the unit of measurement to be used for each item and report in this unit if possible, using the conversion factors on the last page of the JFSQ definitions. Please report the monetary values in the same unit for both reporting years. Only report data or modify cells in the working areas. Please do not delete checking areas or checking sheets. • Look at the checking areas and make the necessary corrections to your data to remove all warnings (see the specific recommendations) before sending in your data. Fill in real zeroes '0' in the worksheets if there is no production or trade. Empty cells will be interpreted as 'Data not available'. • There are counters at the bottom of the tables to indicate the number of cells left to be filled in and the number of cells filled with text. Report all data with at least three decimals. Do not use a separator for thousands; for the decimal point, please use the one set up by default. A.5 Report numbers only. If data are confidential, please provide them if possible, appropriately flagged (see A.5). • Eurostat has a right to all confidential data necessary for its work. It has an obligation to use such data only in aggregates and to respect all the legal obligations. • If you cannot provide confidential data, a good option is to send in your own estimate flagged as a national estimate '9' • As a last resort, leave the cell empty, flag it and write a note indicating data sources and links. Checking tables contain formulae to sum up the totals for sub-items. A.5 Flag cells and write notes as appropriate. Flags should be entered in the 'Flag' columns and notes in the 'Note' columns for the appropriate year and item. The flags to use are: • 5 for repeating the data of a previous year • 6 for confidential data • 7 for provisional data • 9 for national estimate B Specific recommendations B.1 Sheet 'Removals over bark' is for volumes of wood products measured over bark. General over bark/under bark conversion factors are calculated automatically. • Should you use different conversion factor(s) please delete the ones provided and insert your own • If you only have under bark data, please leave this worksheet empty, but revise the table with the conversion factors. • Unchanged conversion factors will be considered revised A checking table verifies that sums of sub-items agree with the totals B.2 Checking tables on worksheets improve data quality, verifying that: • The sum of the sub-items equals the total • The sum of 'of which' items is not larger than the total All cells in a checking table should be zero or empty. If this is not the case, please check your numbers for the sub-items and totals. The checking table indicates the difference, so if you see a negative value, you will have to decide which number should be increased by that amount. The only exception is when no data are entered due to confidentiality. B.3 Worksheets 'JQ2' and 'EU1' contain a checking table for apparent consumption and for unit values. Apparent consumption = Production + Imports – Exports. It should be positive or nil. If this is not the case, the cell will change colour and indicate the difference. • Please correct the data in the sheets until checking results are positive or nil. One solution is to increase production • If the data are correct but apparent consumption is still negative, please explain why in the 'Note' column provided in the apparent consumption checking table. B.4 Sheets 'JQ2', 'ECE/EU Species Trade' and 'EU1' on trade have checking tables to verify data consistency. Both quantity and value must be present. When something is missing, messages or coloured cells appear in the checking tables. Please correct your data until all warnings disappear. The meaning of the messages is: • 0: both value and quantity are zero – all is well, there is no trade • ZERO Q: value is reported, quantity is zero - please correct • ZERO V: quantity is reported, value is zero - please correct • REPORT: both quantity and value are blank - please fill in • NO Q: blank cell for quantity – please fill in • NO V: blank cell for value – please fill in Please enter even very small numbers to resolve problems, using as many decimal places as necessary. If there is no way to correct the problem, please write an explanation in the 'Note' column. If there is no trade for a product, please enter 0 for both quantity and value. B.5 'Check JQ-EU' cross-checks the data in four sheets. This concerns the three roundwood items in sheets 'JQ1' and 'EU2' and the four industrial roundwood and sawnwood items in sheets 'JQ2' and 'ECE/EU Species Trade'. • When the four sheets are filled in correctly, this checking sheet should have no 'WRONG' messages (red) • When there are such messages, please follow the row in which a cell in magenta indicates a mistake back to column F to find out which two tables are concerned. The difference between the numbers is in the 'dif'-row. • Please correct working sheets until all warnings disappear B.6 'Check EU1-JQ2' cross-checks data on total trade with extra-EU trade. The numbers in 'JQ2' should be greater than or equal to those in 'EU1'. • If there are 'WRONG' messages (red), please go back to the data in EU1 and/or JQ2 and correct it • Please correct working sheets until all warnings disappear Thank you for collecting data for the JFSQ. Eurostat's Forestry Team

JFSQ quality report

Joint Forest Sector Questionnaire Quality Report
Quality information Country reply
1 Contact
Country name Country name
Contact organisation Contact organisation
Contact name Contact name
Contact email address Contact email address
2 Changes to previous year
Necessity of update Are there any changes to the quality report of the last data collection? YES
If yes, please provide details below.
3 Statistical processing
Overview of the source data Please provide an overview of the sources used to produce JFSQ data.
Do you use a dedicated survey (of the industry, of households, of forest owners, etc.)? YES
If yes, please provide details (e.g., who are the respondents, what is its frequency?). We use specific surveys of all consumers of wood raw materials (sawmills, panel board industry, households (energy), non-households (energy). Studies are conducted every three to five years. We estimate years between datapoints with specific models
Do you use forestry statistics? YES
If yes, please provide details. Fellings statistics only for estimation of removals by owner type
Do you use national forest inventory? YES
If yes, please provide details. Fellings statistics only for estimation of removals by owner type
Do you use national PRODCOM data compiled according to the CPA classification? YES
If yes, please provide details (which products, units, etc.). This is a long list. If interested, I can send it to you
Do you use any other national production statistics? YES
If yes, please provide details. Specific statistic on wood use for forest products
Do you use data collected by associations of industry? YES
If yes, please provide details. Pulp+Paper Association (VDP), Pellet Association, Sawmilling association
Do you collect data from direct contacts with manufacturing companies? NO
If yes, please provide details.
Do you use estimates of roundwood use (in manufacturing)? YES
If yes, please provide details. https://www.thuenen.de/en/wf/figures-facts/production-and-use/fellings-and-roundwood-use/
Do you use national trade data? YES
If yes, please provide details. provide from federal statistical office
Do you use felling reports? YES
If yes, please provide details. only partly, for estimating removals by owner type
Do you use forestry companies' accounting network? YES
If yes, please provide details. for estimating removals by owner type
Do you use administrative data (e.g. tax records, business registers)? NO
If yes, please provide details.
Do you use data from national accounts? NO
If yes, please provide details (e.g. for which data, from which account tables?).
Do you use SBS (Structural business statistics)? NO
If yes, please provide details (e.g. for which data?).
Do you use other environmental accounts? YES
If yes, please provide details. German data which is also provided for EFA
Do you use other statistics (e.g. agriculture statistics)? NO
If yes, please specify them.
Do you use any other sources? YES
If yes, please specify them. lots of different studies and reports. Please see weblink above
Methodological issues Are there any pending classification or measurement issues? NO
If yes, please specify them.
Data validation Do you check the quality of the data collected to compile JFSQ? YES
If yes, please explain the quality assurance procedure. parts are described in the weblink above
Do you compare JFSQ data with different data sources or do you perform other cross-checks? YES
If yes, please explain your approach. parts are described in the weblink above
Do you have validation rules and other plausibility checks for the outputs of your JFSQ data compilation process? YES
If yes, please briefly describe them. parts are described in the weblink above
4 Relevance
User needs Please provide references to the relevance of JFSQ at national level e.g. main users, national indicator sets, quantitative policy targets etc.
5 Coherence and comparability
Coherence - cross domain Do you compare the JFSQ results with business, energy and agricultural and foreign trade statistics? YES
It not, please explain.
Do you compare the JFSQ results with business, energy and agricultural and foreign trade statistics? YES
It not, please explain. same question as in line 59?
Do you cross-check the JFSQ data with the results of European Forest Accounts? YES
If yes, please indicate for which reporting items, and comments on the discrepancies observed, if any. It not, please explain.
Coherence - internal Are there any other consistency issues related to your JFSQ data? YES
If yes, please explain them. For trade of pulp and paper products date of national federation are used, as they are more accureate, e.g. no double counting of producers and traders
6 Accessibility and clarity
Publications Do you disseminate JFSQ data nationally (e.g. in news releases or other documents)? NO
If yes, please provide URLs and/or the reference to the relevant publications.
Online database Do you publish your JFSQ accounts in an online data base? NO
If yes, please provide URLs.
Documentation on methodology Did you prepare a description of your national JFSQ methodology or metadata? YES
If yes, please provide URLs. For estimation of removals see weblink above
Quality documentation Do you have national quality documentation? YES
If yes, please provide URLs. Weblink above?
7 Other comments
Other comments Please provide any further feedback you might have on the quality of the reported data, sources and methods used and/or Eurostat's validation and quality report templates.
https://www.thuenen.de/en/wf/figures-facts/production-and-use/fellings-and-roundwood-use/

Cover

Joint Forest Sector Questionnaire
2019
DATA INPUT FILE
Correspondent country: DE
Reference year: 2019 Fill in the year
Name of person responsible for reply:
Official address (in full):
Telephone:
Fax:
E-mail:

Removals over bark

Country: DE Date:
Name of Official responsible for reply: 0
Check Table
Official Address (in full):
EU JQ1 OB 0
FOREST SECTOR QUESTIONNAIRE Telephone: 0 0 Discrepancies
Removals E-mail: 0 Please verify, if there's an error!
Year 1 Year 2 Flag Flag Note Note
Product Product Unit 2018 2019 2018 2019 2018 2019 Product Product Unit 2018 2019
Code Quantity Quantity Code Quantity Quantity
ROUNDWOOD REMOVALS OVERBARK ROUNDWOOD REMOVALS OVERBARK
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob OK OK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob OK OK
1.1.C Coniferous 1000 m3ob 1.1.C Coniferous 1000 m3ob
1.1.NC Non-Coniferous 1000 m3ob 1.1.NC Non-Coniferous 1000 m3ob
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.C Coniferous 1000 m3ob 1.2.C Coniferous 1000 m3ob OK OK
1.2.NC Non-Coniferous 1000 m3ob 1.2.NC Non-Coniferous 1000 m3ob OK OK
1.2.NC.T of which: Tropical 1000 m3ob 1.2.NC.T of which: Tropical 1000 m3ob OK OK
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob OK OK
1.2.1.C Coniferous 1000 m3ob 1.2.1.C Coniferous 1000 m3ob
1.2.1.NC Non-Coniferous 1000 m3ob 1.2.1.NC Non-Coniferous 1000 m3ob
1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob 1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob OK OK
1.2.2.C Coniferous 1000 m3ob 1.2.2.C Coniferous 1000 m3ob
1.2.2.NC Non-Coniferous 1000 m3ob 1.2.2.NC Non-Coniferous 1000 m3ob
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.3.C Coniferous 1000 m3ob 1.2.3.C Coniferous 1000 m3ob
1.2.3.NC Non-Coniferous 1000 m3ob 1.2.3.NC Non-Coniferous 1000 m3ob
To fill: 17 17
Text: 0 0
Product Product Unit 2018 2019
Code CF CF
OVERBARK/UNDERBARK CONVERSION FACTORS
1 ROUNDWOOD (WOOD IN THE ROUGH) m3/m3 0.000 0.000
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) m3/m3 0.000 0.000
1.1.C Coniferous m3/m3 0.000 0.000
1.1.NC Non-Coniferous m3/m3 0.000 0.000
1.2 INDUSTRIAL ROUNDWOOD m3/m3 1.100 1.100
1.2.C Coniferous m3/m3 1.200 1.200
1.2.NC Non-Coniferous m3/m3 0.000 0.000
1.2.NC.T of which: Tropical m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1 SAWLOGS AND VENEER LOGS m3/m3 0.000 0.000
1.2.1.C Coniferous m3/m3 0.000 0.000
1.2.1.NC Non-Coniferous m3/m3 1.100 1.100
1.2.2 PULPWOOD, ROUND AND SPLIT m3/m3 1.200 1.200
1.2.2.C Coniferous m3/m3 0.000 0.000
1.2.2.NC Non-Coniferous m3/m3 1.100 1.100
1.2.3 OTHER INDUSTRIAL ROUNDWOOD m3/m3 1.200 1.200
1.2.3.C Coniferous m3/m3 0.000 0.000
1.2.3.NC Non-Coniferous m3/m3 1.100 1.100

JQ1 Production

Country: DE Date: • 5 for repeating the data of a previous year
Name of Official responsible for reply: 0 • 6 for confidential data
• 7 for provisional data
Official Address (in full): • 9 for national estimate Should we make missing data into 0?
FOREST SECTOR QUESTIONNAIRE JQ1 0 Not included: trade in chips
Industrial Roundwood Balance
PRIMARY PRODUCTS Telephone: 0 0 This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! Discrepancies
Removals and Production E-mail: 0 test for good numbers, missing number, bad number, negative number
Year -1 Year Flag Flag Note Note
Product Product Unit 2018 2019 2018 2019 2018 2019 Product Product Unit 2018 2019 2018 2019 % change Conversion factors
Code Quantity Quantity Code Quantity Quantity Roundwood Industrial roundwood availability
McCusker 14/6/07: McCusker 14/6/07: minus 1.2.3 (other ind. RW) production
56,346 123,531 119% m3 of wood in m3 or mt of product
REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) Recovered wood used in particle board 2015 2000 -1% Solid wood equivalent
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 75,232.657 76,167.429 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK Solid Wood Demand agglomerate production 2,705 3,662 35% 2.4
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 22,358.979 22,742.481 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK Sawnwood production 23,769 24,573 3% 1
1.1.C Coniferous 1000 m3ub 9,118.488 9,217.775 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.1.C Coniferous 1000 m3ub veneer production 88 98 11% 1
1.1.NC Non-Coniferous 1000 m3ub 13,240.492 13,524.707 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.1.NC Non-Coniferous 1000 m3ub plywood production 118 111 -6% 1
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 52,873.677 53,424.947 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK particle board production (incl OSB) 6,988 6,878 -2% 1.58
1.2.C Coniferous 1000 m3ub 46,124.607 46,835.085 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.C Coniferous 1000 m3ub OK OK fibreboard production 5,675 5,419 -5% 1.8
1.2.NC Non-Coniferous 1000 m3ub 6,749.070 6,589.863 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.NC Non-Coniferous 1000 m3ub OK OK mechanical/semi-chemical pulp production 813 728 -10% 2.5
1.2.NC.T of which: Tropical 1000 m3ub 0.000 0.000 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.NC.T of which: Tropical 1000 m3ub OK OK chemical pulp production 1,646 1,598 -3% 4.9
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 41,625.878 40,713.105 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub OK OK dissolving pulp production 0 0 missing data 5.7
1.2.1.C Coniferous 1000 m3ub 38,098.957 37,426.076 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.1.C Coniferous 1000 m3ub Availability Solid Wood Demand 61,820 63,841 3%
1.2.1.NC Non-Coniferous 1000 m3ub 3,526.921 3,287.030 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.1.NC Non-Coniferous 1000 m3ub Difference (roundwood-demand) -59,805 -61,841 3% positive = surplus
1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub 11,173.759 12,640.046 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub OK OK gap (demand/availability) -10% 48% Negative number means not enough roundwood available
1.2.2.C Coniferous 1000 m3ub 7,952.052 9,337.666 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.2.C Coniferous 1000 m3ub Positive number means more roundwood available than demanded
1.2.2.NC Non-Coniferous 1000 m3ub 3,221.707 3,302.380 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.2.NC Non-Coniferous 1000 m3ub
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 74.041 71.796 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK
1.2.3.C Coniferous 1000 m3ub 73.599 71.343 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.3.C Coniferous 1000 m3ub % of particle board that is from recovered wood 35%
1.2.3.NC Non-Coniferous 1000 m3ub 0.442 0.453 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.3.NC Non-Coniferous 1000 m3ub share of agglomerates produced from industrial roundwood residues 100%
PRODUCTION PRODUCTION usable industrial roundwood - amount of roundwood that is used, remainder leaves industry 98.5%
2 WOOD CHARCOAL 1000 mt 30.000 30.000 9 9 2 WOOD CHARCOAL 1000 mt
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 14,941.336 14,890.121 9 9 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 10,613.453 10,972.406 9 9 3.1 WOOD CHIPS AND PARTICLES 1000 m3
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 4,327.883 3,917.715 9 9 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3
4 RECOVERED POST-CONSUMER WOOD 1000 mt 6,601.000 6,601.000 5 5 4 RECOVERED POST-CONSUMER WOOD 1000 mt
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 2,704.927 3,661.508 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt OK OK
5.1 WOOD PELLETS 1000 mt 2,415.000 2,821.000 9 9 5.1 WOOD PELLETS 1000 mt
5.2 OTHER AGGLOMERATES 1000 mt 289.927 840.508 9 5.2 OTHER AGGLOMERATES 1000 mt
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 23,769.456 24,573.352 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK
6.C Coniferous 1000 m3 22,609.724 23,306.983 6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3 1,159.732 1,266.369 6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3 0.966 1.594 9 9 6.NC.T of which: Tropical 1000 m3 OK OK
7 VENEER SHEETS 1000 m3 88.247 97.740 9 9 7 VENEER SHEETS 1000 m3 OK OK
7.C Coniferous 1000 m3 12.355 13.966 9 9 7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3 75.892 83.774 9 9 7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3 0.851 1.405 9 9 7.NC.T of which: Tropical 1000 m3 OK OK
8 WOOD-BASED PANELS 1000 m3 12,780.013 12,407.917 9 9 8 WOOD-BASED PANELS 1000 m3 OK OK
8.1 PLYWOOD 1000 m3 117.786 111.162 9 9 8.1 PLYWOOD 1000 m3 OK OK
8.1.C Coniferous 1000 m3 34.713 43.845 9 9 8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3 83.073 67.317 9 9 8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3 0.165 0.165 9 9 8.1.NC.T of which: Tropical 1000 m3 OK OK
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 6,987.620 6,877.729 9 9 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 1,230.209 1,163.010 9 9 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK
8.3 FIBREBOARD 1000 m3 5,674.607 5,419.026 9 9 We are actually revising the time series of fibre board. More (older) data to come We are actually revising the time series of fibre board. More (older) data to come 8.3 FIBREBOARD 1000 m3 OK OK
8.3.1 HARDBOARD 1000 m3 0.000 0.000 9 9 We are actually revising the time series of fibre board. More (older) data to come We are actually revising the time series of fibre board. More (older) data to come 8.3.1 HARDBOARD 1000 m3
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 3,803.101 3,628.603 9 9 We are actually revising the time series of fibre board. More (older) data to come We are actually revising the time series of fibre board. More (older) data to come 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3
8.3.3 OTHER FIBREBOARD 1000 m3 1,871.506 1,790.423 9 9 We are actually revising the time series of fibre board. More (older) data to come We are actually revising the time series of fibre board. More (older) data to come 8.3.3 OTHER FIBREBOARD 1000 m3
9 WOOD PULP 1000 mt 2,459.000 2,326.000 9 9 9 WOOD PULP 1000 mt OK OK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 813.000 728.000 9 9 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt
9.2 CHEMICAL WOOD PULP 1000 mt 1,646.000 1,598.000 9 9 9.2 CHEMICAL WOOD PULP 1000 mt OK OK
9.2.1 SULPHATE PULP 1000 mt 1,050.000 1,009.000 9 9 9.2.1 SULPHATE PULP 1000 mt
9.2.1.1 of which: BLEACHED 1000 mt 9 9 9.2.1.1 of which: BLEACHED 1000 mt OK OK
9.2.2 SULPHITE PULP 1000 mt 596.000 589.000 9 9 9.2.2 SULPHITE PULP 1000 mt
9.3 DISSOLVING GRADES 1000 mt 0.000 0.000 9 9 9.3 DISSOLVING GRADES 1000 mt
10 OTHER PULP 1000 mt 14,463.384 14,413.242 9 9 10 OTHER PULP 1000 mt OK OK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 84.384 73.242 9 9 Revision of time series for item 10.2 is ongoing Revision of time series for item 10.2 is ongoing 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt
10.2 RECOVERED FIBRE PULP 1000 mt 14,379.000 14,340.000 9 9 Revision of time series for item 10.2 is ongoing Revision of time series for item 10.2 is ongoing 10.2 RECOVERED FIBRE PULP 1000 mt
11 RECOVERED PAPER 1000 mt 17,200.000 17,154.000 9 9 11 RECOVERED PAPER 1000 mt
12 PAPER AND PAPERBOARD 1000 mt 22,681.549 22,070.274 9 9 12 PAPER AND PAPERBOARD 1000 mt OK OK
12.1 GRAPHIC PAPERS 1000 mt 7,933.919 7,272.262 9 9 12.1 GRAPHIC PAPERS 1000 mt OK OK
12.1.1 NEWSPRINT 1000 mt 1,210.115 1,084.529 9 9 12.1.1 NEWSPRINT 1000 mt
12.1.2 UNCOATED MECHANICAL 1000 mt 2,045.535 1,908.698 9 9 12.1.2 UNCOATED MECHANICAL 1000 mt
12.1.3 UNCOATED WOODFREE 1000 mt 1,635.755 1,551.831 9 9 12.1.3 UNCOATED WOODFREE 1000 mt
12.1.4 COATED PAPERS 1000 mt 3,042.514 2,727.204 9 9 12.1.4 COATED PAPERS 1000 mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 1,508.083 1,498.064 9 9 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt
12.3 PACKAGING MATERIALS 1000 mt 11,838.960 11,955.818 9 9 12.3 PACKAGING MATERIALS 1000 mt OK OK
12.3.1 CASE MATERIALS 1000 mt 8,575.947 8,736.318 9 9 12.3.1 CASE MATERIALS 1000 mt
12.3.2 CARTONBOARD 1000 mt 1,765.456 1,783.193 9 9 12.3.2 CARTONBOARD 1000 mt
12.3.3 WRAPPING PAPERS 1000 mt 424.769 409.507 9 9 12.3.3 WRAPPING PAPERS 1000 mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 1,072.788 1,026.800 9 9 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 1,400.587 1,344.130 9 9 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt
m3ub = cubic metres underbark (i.e. excluding bark) m3ub = cubic metres underbark (i.e. excluding bark)
Aggregates directly reported:
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1 1000 mt 897.384 801.242
To fill: 1 1
Text: 0 0

JQ2 TTrade

61 62 61 62 91 92 91 92
FOREST SECTOR QUESTIONNAIRE JQ2 Country: DE Date: 0 both VALUE and quantity reported ZERO
Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported INTRA-EU The difference might be caused by Intra-EU trade
PRIMARY PRODUCTS Official Address (in full): 0 This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data! ZERO V Value ZERO when quantity is reported CHECK
Trade Telephone: 0 Fax: 0 This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! ZERO CHECK 1 - if no value please CHECK NO Q no quantity reported ZERO CHECK 2 - if no value in Zero Check 1
Value must always be in 1000 NAC (national currency) E-mail: 0 Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note Country: DE NO V no value reported Treshold: 2 verifies whether the JQ2 figures refers only to intra-EU trade
Eurozone countries may use the old national currency, but only in both years 1000NAC Trade Discrepancies REPORT no figures reported
Product Unit of I M P O R T E X P O R T Import Export Import Export Product I M P O R T E X P O R T Product Apparent Consumption Related Notes Product Value per I M P O R T E X P O R T Column1 Column2 Product Value per I M P O R T E X P O R T
code Product quantity 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 code 2018 2019 2018 2019 code 2018 2019 2018 2019 code Product unit 2018 2019 2018 2019 IMPORT EXPORT code Product unit 2018 2019 2018 2019
Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 9,340.788 568,203 7,613.673 452,406 5,505.334 468,864 8,769.105 680,479 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK OK OK Error OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 79,068 175,506 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 61 59 85 78 ACCEPT ACCEPT 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 430.933 37,477 322.173 29,708 141.653 8,316 138.465 7,046 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 22,648 51,903 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 87 92 59 51 ACCEPT ACCEPT 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3
1.1.C Coniferous 1000 m3ub 119.198 11,883 102.882 9,832 89.627 3,001 96.600 2,850 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub 9,148 18,100 1.1.C Coniferous NAC/m3 100 96 33 30 ACCEPT ACCEPT 1.1.C Coniferous NAC/m3
1.1.NC Non-Coniferous 1000 m3ub 311.735 25,594 219.291 19,876 52.026 5,315 41.865 4,196 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub 13,500 33,804 1.1.NC Non-Coniferous NAC/m3 82 91 102 100 ACCEPT ACCEPT 1.1.NC Non-Coniferous NAC/m3
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 8,909.855 530,726 7,291.500 422,698 5,363.681 460,548 8,630.640 673,433 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 56,420 123,603 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 60 58 86 78 ACCEPT ACCEPT 1.2 INDUSTRIAL ROUNDWOOD NAC/m3
1.2.C Coniferous 1000 m3ub 8,385.160 476,639 6,842.766 373,306 3,899.734 277,157 7,210.630 501,856 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 50,610 246,317 1.2.C Coniferous NAC/m3 57 55 71 70 ACCEPT ACCEPT 1.2.C Coniferous NAC/m3
1.2.NC Non-Coniferous 1000 m3ub 524.695 54,087 448.734 49,392 1,463.947 183,391 1,420.010 171,577 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 5,810 -122,714 1.2.NC Non-Coniferous NAC/mt 103 110 125 121 ACCEPT ACCEPT 1.2.NC Non-Coniferous NAC/mt
1.2.NC.T of which: Tropical 1000 m3ub 7.847 4,008 9.476 4,636 4.752 2,455 4.366 2,614 1.2.NC.T of which: Tropical 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical 1000 m3ub 3 1,553 1.2.NC.T of which: Tropical 1000 m3 511 489 517 599 ACCEPT ACCEPT 1.2.NC.T of which: Tropical 1000 m3
2 WOOD CHARCOAL 1000 mt 235.071 109,876 185.126 92,761 26.829 23,258 21.082 20,734 2 WOOD CHARCOAL 1000 mt 2 WOOD CHARCOAL 1000 mt 238 86,648 2 WOOD CHARCOAL 1000 m3 467 501 867 983 ACCEPT ACCEPT 2 WOOD CHARCOAL 1000 m3
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 2,093.552 71,009 1,357.906 45,870 2,738.645 128,535 2,652.016 127,756 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 14,296 -42,636 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 34 34 47 48 ACCEPT ACCEPT 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 1,307.246 41,456 747.015 23,074 1,995.080 83,276 1,858.778 81,219 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3 9,926 -30,848 3.1 WOOD CHIPS AND PARTICLES 1000 mt 32 31 42 44 ACCEPT ACCEPT 3.1 WOOD CHIPS AND PARTICLES 1000 mt
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 786.306 29,553 610.891 22,796 743.565 45,259 793.238 46,537 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 4,371 -11,788 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt 38 37 61 59 ACCEPT ACCEPT 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt
4 RECOVERED POST-CONSUMER WOOD 1000 mt 997.710 35,922 845.334 31,619 742.189 38,120 642.983 38,115 4 RECOVERED POST-CONSUMER WOOD 1000 mt 4 RECOVERED POST-CONSUMER WOOD 1000 mt 6,857 4,403 4 RECOVERED POST-CONSUMER WOOD 1000 mt 36 37 51 59 ACCEPT ACCEPT 4 RECOVERED POST-CONSUMER WOOD 1000 mt
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 729.275 117,611 561.365 88,023 686.150 162,044 763.098 175,928 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt OK OK OK OK OK OK Error OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 2,748 -40,771 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3 161 157 236 231 ACCEPT ACCEPT 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3
5.1 WOOD PELLETS 1000 mt 375.299 66,295 280.814 51,372 641.450 148,856 720.663 163,167 5.1 WOOD PELLETS 1000 mt 5.1 WOOD PELLETS 1000 mt 2,149 -79,740 5.1 WOOD PELLETS NAC/m3 177 183 232 226 ACCEPT ACCEPT 5.1 WOOD PELLETS NAC/m3
5.2 OTHER AGGLOMERATES 1000 mt 353.976 51,316 280.551 36,651 44.700 13,188 42.435 12,761 5.2 OTHER AGGLOMERATES 1000 mt 5.2 OTHER AGGLOMERATES 1000 mt 599 38,969 5.2 OTHER AGGLOMERATES NAC/m3 145 131 295 301 ACCEPT ACCEPT 5.2 OTHER AGGLOMERATES NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 5,553.892 1,341,766 5,248.327 1,213,183 9,043.016 2,147,964 9,631.371 2,074,615 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 20,280 -781,625 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 242 231 238 215 ACCEPT ACCEPT 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3
6.C Coniferous 1000 m3 5,161.967 1,104,891 4,838.013 996,972 8,263.498 1,760,906 8,867.019 1,692,360 6.C Coniferous 1000 m3 6.C Coniferous 1000 m3 19,508 -632,708 6.C Coniferous NAC/m3 214 206 213 191 ACCEPT ACCEPT 6.C Coniferous NAC/m3
6.NC Non-Coniferous 1000 m3 391.925 236,875 410.314 216,211 779.518 387,058 764.352 382,255 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3 772 -148,917 6.NC Non-Coniferous NAC/m3 604 527 497 500 ACCEPT ACCEPT 6.NC Non-Coniferous NAC/m3
6.NC.T of which: Tropical 1000 m3 71.890 67,506 73.792 59,143 36.431 42,377 33.136 37,699 6.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical 1000 m3 36 25,131 6.NC.T of which: Tropical NAC/m3 939 801 1163 1138 ACCEPT ACCEPT 6.NC.T of which: Tropical NAC/m3
7 VENEER SHEETS 1000 m3 111.871 153,730 105.896 149,308 62.564 142,401 57.780 139,206 7 VENEER SHEETS 1000 m3 OK OK OK OK OK OK Error OK 7 VENEER SHEETS 1000 m3 138 11,427 7 VENEER SHEETS NAC/m3 1374 1410 2276 2409 ACCEPT ACCEPT 7 VENEER SHEETS NAC/m3
7.C Coniferous 1000 m3 28.407 19,032 27.724 18,392 0.588 1,985 0.530 2,401 7.C Coniferous 1000 m3 7.C Coniferous 1000 m3 40 17,061 7.C Coniferous NAC/m3 670 663 3376 4530 ACCEPT ACCEPT 7.C Coniferous NAC/m3
7.NC Non-Coniferous 1000 m3 83.464 134,698 78.172 130,916 61.976 140,416 57.250 136,805 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3 97 -5,634 7.NC Non-Coniferous NAC/m3 1614 1675 2266 2390 ACCEPT ACCEPT 7.NC Non-Coniferous NAC/m3
7.NC.T of which: Tropical 1000 m3 10.108 13,231 8.380 12,376 2.867 10,943 2.489 10,593 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 8 2,289 7.NC.T of which: Tropical NAC/m3 1309 1477 3817 4256 ACCEPT ACCEPT 7.NC.T of which: Tropical NAC/m3
8 WOOD-BASED PANELS 1000 m3 5,994.723 2,001,549 5,703.858 1,885,732 6,145.173 2,606,912 6,000.438 2,476,932 8 WOOD-BASED PANELS 1000 m3 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 12,630 -592,955 8 WOOD-BASED PANELS NAC/m3 334 331 424 413 ACCEPT ACCEPT 8 WOOD-BASED PANELS NAC/m3
8.1 PLYWOOD 1000 m3 1,619.917 846,336 1,477.554 783,125 392.903 281,307 372.812 263,129 8.1 PLYWOOD 1000 m3 OK OK OK OK Error OK OK OK 8.1 PLYWOOD 1000 m3 1,345 565,140 8.1 PLYWOOD NAC/m3 522 530 716 706 ACCEPT ACCEPT 8.1 PLYWOOD NAC/m3
8.1.C Coniferous 1000 m3 609.096 244,802 518.673 221,608 139.330 74,348 133.153 72,288 8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3 504 170,498 8.1.C Coniferous NAC/m3 402 427 534 543 ACCEPT ACCEPT 8.1.C Coniferous NAC/m3
8.1.NC Non-Coniferous 1000 m3 1,010.821 601,535 958.881 561,517 253.573 206,960 239.659 190,841 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3 840 394,642 8.1.NC Non-Coniferous NAC/m3 595 586 816 796 ACCEPT ACCEPT 8.1.NC Non-Coniferous NAC/m3
8.1.NC.T of which: Tropical 1000 m3 157.570 99,941 151.193 100,407 45.112 54,575 39.613 47,703 8.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical 1000 m3 113 45,366 8.1.NC.T of which: Tropical NAC/m3 634 664 1210 1204 ACCEPT ACCEPT 8.1.NC.T of which: Tropical NAC/m3
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 2,967.272 745,955 2,737.291 690,899 2,432.904 644,000 2,334.071 601,234 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 7,522 108,833 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 251 252 265 258 ACCEPT ACCEPT 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 848.346 222,536 789.245 203,723 513.038 136,684 524.837 132,514 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 1,566 87,015 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 262 258 266 252 ACCEPT ACCEPT 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3
8.3 FIBREBOARD 1000 m3 1,407.534 409,258 1,489.013 411,708 3,319.366 1,681,605 3,293.555 1,612,569 8.3 FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 3,763 -1,266,928 8.3 FIBREBOARD NAC/m3 291 276 507 490 ACCEPT ACCEPT 8.3 FIBREBOARD NAC/m3
8.3.1 HARDBOARD 1000 m3 227.579 100,053 217.559 88,249 1,502.497 929,142 1,157.909 727,321 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3 -1,275 -829,089 8.3.1 HARDBOARD NAC/mt 440 406 618 628 ACCEPT ACCEPT 8.3.1 HARDBOARD NAC/mt
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 517.478 229,539 493.313 232,910 1,557.822 722,417 1,745.259 843,091 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 2,763 -489,249 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt 444 472 464 483 ACCEPT ACCEPT 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt
8.3.3 OTHER FIBREBOARD 1000 m3 662.477 79,666 778.141 90,549 259.047 30,046 390.387 42,157 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3 2,275 51,410 8.3.3 OTHER FIBREBOARD NAC/mt 120 116 116 108 ACCEPT ACCEPT 8.3.3 OTHER FIBREBOARD NAC/mt
9 WOOD PULP 1000 mt 5,076.000 3,135,736 4,479.000 2,748,903 1,089.000 711,069 1,213.000 737,533 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 WOOD PULP 1000 mt OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 mt 6,446 2,426,993 9 WOOD PULP NAC/mt 618 614 653 608 ACCEPT ACCEPT 9 WOOD PULP NAC/mt
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 179.000 101,557 193.000 114,365 103.000 47,178 90.000 43,391 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 889 55,107 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt 567 593 458 482 ACCEPT ACCEPT 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt
9.2 CHEMICAL WOOD PULP 1000 mt 4,478.000 2,683,323 3,911.000 2,312,458 973.000 648,267 1,111.000 680,546 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9.2 CHEMICAL WOOD PULP 1000 mt OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 mt 5,151 2,036,654 9.2 CHEMICAL WOOD PULP NAC/mt 599 591 666 613 ACCEPT ACCEPT 9.2 CHEMICAL WOOD PULP NAC/mt
9.2.1 SULPHATE PULP 1000 mt 4,392.000 2,596,583 3,831.000 2,230,306 888.000 544,271 1,029.000 574,169 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9.2.1 SULPHATE PULP 1000 mt 9.2.1 SULPHATE PULP 1000 mt 4,554 2,053,321 9.2.1 SULPHATE PULP NAC/mt 591 582 613 558 ACCEPT ACCEPT 9.2.1 SULPHATE PULP NAC/mt
9.2.1.1 of which: BLEACHED 1000 mt 4,263.000 2,526,621 3,720.000 2,171,197 881.000 539,744 1,017.000 566,964 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9.2.1.1 of which: BLEACHED 1000 mt OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 mt 3,382 1,986,877 9.2.1.1 of which: BLEACHED NAC/mt 593 584 613 557 ACCEPT ACCEPT 9.2.1.1 of which: BLEACHED NAC/mt
9.2.2 SULPHITE PULP 1000 mt 86.000 86,740 80.000 82,152 85.000 103,996 82.000 106,377 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9.2.2 SULPHITE PULP 1000 mt 9.2.2 SULPHITE PULP 1000 mt 597 -16,667 9.2.2 SULPHITE PULP NAC/mt 1009 1027 1223 1297 ACCEPT ACCEPT 9.2.2 SULPHITE PULP NAC/mt
9.3 DISSOLVING GRADES 1000 mt 419.000 350,856 375.000 322,080 13.000 15,624 12.000 13,596 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9.3 DISSOLVING GRADES 1000 mt 9.3 DISSOLVING GRADES 1000 mt 406 335,232 9.3 DISSOLVING GRADES NAC/mt 837 859 1202 1133 ACCEPT ACCEPT 9.3 DISSOLVING GRADES NAC/mt
10 OTHER PULP 1000 mt 113.000 30,733 138.000 33,374 139.000 64,645 118.000 57,240 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 10 OTHER PULP 1000 mt OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 mt 14,437 -19,499 10 OTHER PULP NAC/mt 272 242 465 485 ACCEPT ACCEPT 10 OTHER PULP NAC/mt
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 16.000 23,009 14.000 19,856 1.000 1,010 1.000 1,261 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 99 22,072 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt 1438 1418 1010 1261 ACCEPT ACCEPT 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt
10.2 RECOVERED FIBRE PULP 1000 mt 97.000 7,724 124.000 13,518 138.000 63,635 117.000 55,979 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 10.2 RECOVERED FIBRE PULP 1000 mt 10.2 RECOVERED FIBRE PULP 1000 mt 14,338 -41,571 10.2 RECOVERED FIBRE PULP NAC/mt 80 109 461 478 ACCEPT ACCEPT 10.2 RECOVERED FIBRE PULP NAC/mt
11 RECOVERED PAPER 1000 mt 4,915.000 696,714 4,903.000 669,981 2,824.000 337,334 2,501.000 271,490 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 11 RECOVERED PAPER 1000 mt 11 RECOVERED PAPER 1000 mt 19,291 376,534 11 RECOVERED PAPER NAC/mt 142 137 119 109 ACCEPT ACCEPT 11 RECOVERED PAPER NAC/mt
12 PAPER AND PAPERBOARD 1000 mt 11,631.569 8,898,689 10,996.908 8,979,520 14,277.573 12,148,749 14,260.659 11,930,404 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12 PAPER AND PAPERBOARD 1000 mt OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 mt 20,036 -3,227,990 12 PAPER AND PAPERBOARD NAC/mt 765 817 851 837 ACCEPT ACCEPT 12 PAPER AND PAPERBOARD NAC/mt
12.1 GRAPHIC PAPERS 1000 mt 5,213.742 3,533,510 4,706.343 3,508,067 5,629.628 4,326,335 5,285.071 4,299,661 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.1 GRAPHIC PAPERS 1000 mt OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 mt 7,518 -785,553 12.1 GRAPHIC PAPERS NAC/mt 678 745 768 814 ACCEPT ACCEPT 12.1 GRAPHIC PAPERS NAC/mt
12.1.1 NEWSPRINT 1000 mt 782.517 389,609 750.007 399,222 459.295 225,917 450.512 236,471 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.1.1 NEWSPRINT 1000 mt 12.1.1 NEWSPRINT 1000 mt 1,533 164,777 12.1.1 NEWSPRINT NAC/mt 498 532 492 525 ACCEPT ACCEPT 12.1.1 NEWSPRINT NAC/mt
12.1.2 UNCOATED MECHANICAL 1000 mt 641.719 426,085 569.363 399,411 1,010.555 553,230 940.927 545,508 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.1.2 UNCOATED MECHANICAL 1000 mt 12.1.2 UNCOATED MECHANICAL 1000 mt 1,677 -125,236 12.1.2 UNCOATED MECHANICAL NAC/mt 664 702 547 580 ACCEPT ACCEPT 12.1.2 UNCOATED MECHANICAL NAC/mt
12.1.3 UNCOATED WOODFREE 1000 mt 1,268.944 1,086,119 1,217.805 1,089,512 984.144 1,086,251 958.855 1,135,827 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.1.3 UNCOATED WOODFREE 1000 mt 12.1.3 UNCOATED WOODFREE 1000 mt 1,921 1,420 12.1.3 UNCOATED WOODFREE NAC/mt 856 895 1104 1185 ACCEPT ACCEPT 12.1.3 UNCOATED WOODFREE NAC/mt
12.1.4 COATED PAPERS 1000 mt 2,520.563 1,631,697 2,169.168 1,619,921 3,175.635 2,460,937 2,934.777 2,381,855 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.1.4 COATED PAPERS 1000 mt 12.1.4 COATED PAPERS 1000 mt 2,387 -826,513 12.1.4 COATED PAPERS NAC/mt 647 747 775 812 ACCEPT ACCEPT 12.1.4 COATED PAPERS NAC/mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 205.120 259,765 198.000 271,000 132.750 214,905 122.000 206,000 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 1,580 46,358 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt 1266 1369 1619 1689 ACCEPT ACCEPT 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt
12.3 PACKAGING MATERIALS 1000 mt 5,517.775 3,934,496 5,374.669 3,918,735 7,577.127 5,684,300 7,933.266 5,457,875 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.3 PACKAGING MATERIALS 1000 mt OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 mt 9,780 -1,737,848 12.3 PACKAGING MATERIALS NAC/mt 713 729 750 688 ACCEPT ACCEPT 12.3 PACKAGING MATERIALS NAC/mt
12.3.1 CASE MATERIALS 1000 mt 2,862.804 1,327,352 2,634.570 1,184,764 4,378.702 2,136,731 4,708.802 1,933,546 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.3.1 CASE MATERIALS 1000 mt 12.3.1 CASE MATERIALS 1000 mt 7,060 -800,643 12.3.1 CASE MATERIALS NAC/mt 464 450 488 411 ACCEPT ACCEPT 12.3.1 CASE MATERIALS NAC/mt
12.3.2 CARTONBOARD 1000 mt 1,381.929 1,412,619 1,465.607 1,516,324 2,061.233 2,357,607 2,127.018 2,385,499 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.3.2 CARTONBOARD 1000 mt 12.3.2 CARTONBOARD 1000 mt 1,086 -943,205 12.3.2 CARTONBOARD NAC/mt 1022 1035 1144 1122 ACCEPT ACCEPT 12.3.2 CARTONBOARD NAC/mt
12.3.3 WRAPPING PAPERS 1000 mt 994.491 983,139 999.780 1,008,731 832.675 974,468 801.221 920,476 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.3.3 WRAPPING PAPERS 1000 mt 12.3.3 WRAPPING PAPERS 1000 mt 587 9,081 12.3.3 WRAPPING PAPERS NAC/mt 989 1009 1170 1149 ACCEPT ACCEPT 12.3.3 WRAPPING PAPERS NAC/mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 278.552 211,386 274.712 208,916 304.517 215,494 296.225 218,354 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 1,047 -3,081 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt 759 760 708 737 ACCEPT ACCEPT 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 216.017 443,337 215.988 497,199 341.103 806,102 313.163 810,881 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 1,276 -361,421 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt 2052 2302 2363 2589 ACCEPT ACCEPT 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt
m3ub = cubic metres underbark (i.e. excluding bark)
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1 1000 mt 195.000 124566.000 207.000 134221.000 104.000 48188.000 91.000 44652.000
To fill: 0 0 0 0 0 0 0 0
Text: 0 0 0 0 0 0 0 0
15.0087438393 84.9912561607
12.3082170099
24.3384397559
48.3445993948
15.9360815047 84.0639184953
12.0977717475
25.8758348097
46.0903119381
8.1585291293 91.8414708707
17.9506458913
17.4815047419
56.4093202374
8.5242468595 91.4757531405
17.8034822881
18.1427011582
55.5295696942
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FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
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TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE

JQ3 SPW

62 91 91
Country: DE Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ3 0
SECONDARY PROCESSED PRODUCTS Telephone/Fax: 0 0
Trade E-mail: 0
This table highlights discrepancies between items and sub-items. Please verify your data if there's an error!
Vaue must always be in 1000 NAC (national currency) Flag Flag Flag Flag Note Note Note Note Discrepancies
Eurozone countries may use the old national currency, but only in both years 1000NAC
Product Product I M P O R T V A L U E E X P O R T V A L U E Import Export Import Export Product Product I M P O R T V A L U E E X P O R T V A L U E
code 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 Code 2018 2019 2018 2019
13 SECONDARY WOOD PRODUCTS 8,244,416 8,541,647 7,214,893 7,433,685 13 SECONDARY WOOD PRODUCTS OK OK OK OK
13.1 FURTHER PROCESSED SAWNWOOD 236,802 236,095 220,818 222,912 13.1 FURTHER PROCESSED SAWNWOOD OK OK OK OK
13.1.C Coniferous 109,458 113,271 158,339 155,268 13.1.C Coniferous
13.1.NC Non-coniferous 127,344 122,824 62,479 67,644 13.1.NC Non-coniferous
13.1.NC.T of which: Tropical 54,655 52,721 6,928 7,325 13.1.NC.T of which: Tropical OK OK OK OK
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 572,431 527,550 349,622 317,114 13.2 WOODEN WRAPPING AND PACKAGING MATERIAL
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 289,756 309,434 135,290 142,605 13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD 1,130,448 1,178,363 1,157,241 1,241,609 13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD
13.5 WOODEN FURNITURE 5,085,738 5,340,797 4,768,332 4,949,123 13.5 WOODEN FURNITURE
13.6 PREFABRICATED BUILDINGS OF WOOD 195,523 199,174 118,961 90,188 13.6 PREFABRICATED BUILDINGS OF WOOD
13.7 OTHER MANUFACTURED WOOD PRODUCTS 733,718 750,234 464,629 470,134 13.7 OTHER MANUFACTURED WOOD PRODUCTS
14 SECONDARY PAPER PRODUCTS 3,905,112 3,988,352 7,645,906 7,655,421 14 SECONDARY PAPER PRODUCTS OK OK OK OK
14.1 COMPOSITE PAPER AND PAPERBOARD 52,114 48,641 84,544 82,256 14.1 COMPOSITE PAPER AND PAPERBOARD
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 572,257 562,199 1,688,982 1,603,586 14.2 SPECIAL COATED PAPER AND PULP PRODUCTS
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 834,704 858,955 1,225,562 1,259,674 14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4 PACKAGING CARTONS, BOXES ETC. 1,370,844 1,394,836 2,934,504 2,988,486 14.4 PACKAGING CARTONS, BOXES ETC.
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 1,075,193 1,123,721 1,712,314 1,721,419 14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE OK OK OK OK
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE 23,851 23,793 69,534 71,941 14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 77,319 85,206 48,632 57,350 14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 40,148 50,888 187,771 184,307 14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
To fill: 0 0 0 0
Text: 0 0 0 0

LAM & CHIPS

Unit of quantity: 1000 mt
Year Product Flow Year App. Cons. Unit price
Production Total Export Total Import Extra-EU Export Extra-EU Import TOT EXP TOT IMP X-EU EXP X-EU IMP
1000 mt 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt
2018 Glulam 1180 2018 1180 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0!
2019 2019 0 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0!
2018 X-lam 210 2018 210 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0!
2019 2019 0 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0!
Year CN-Code Flow Year App. Cons. Unit price
Production Total Export Total Import Extra-EU Export Extra-EU Import TOT EXP TOT IMP X-EU EXP X-EU IMP
1000 mt 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt 1000 NAC 1000 mt We are not able to allocate the CN trade data to the EWPs
2018 4412 9940 ./. 21.159 28,081 28.113 38,754 7.102 10,083 9.718 10,032 2018 ./. 1,327.14 1378.5277522678 1419.820883499 1032.311161602 LVL or CLT?
2018 4412 9950 ./. 0.759 4,072 6.304 9,154 0.400 2,552 1.339 983 2018 ./. 5,367.78 1452.1399873404 6376.8117846978 734.1299544623 LVL or CLT?
2018 4412 9985 ./. 7.337 11,687 23.096 29,349 5.004 7,519 1.078 1,509 2018 ./. 1,592.93 1270.7615272991 1502.4777612682 1400.4639989108 LVL or CLT?
2018 4418 6000 ./. 2.407 2,475 22.698 13,800 1.506 1,812 1.518 851 2018 ./. 1,028.12 607.9750361527 1202.8678024971 560.6429922975 I-BEAMS / I-JOISTS?
2018 4418 9910 ./. 201.321 219,059 191.782 206,770 83.182 85,681 22.170 27,910 2018 ./. 1,088.11 1078.1501083413 1030.0474925678 1258.9027701078 GLULAM?
2018 4418 9990 ./. 88.916 148,500 83.553 130,173 27.584 56,819 8.621 23,136 2018 ./. 1,670.11 1557.9766631694 2059.8311041675 2683.6793931989 GLULAM or CLT?
2018 4421 9999 ./. 408.255 344,507 520.387 539,492 44.019 72,939 141.651 205,365 2018 ./. 843.85 1036.7126692686 1656.9814972565 1449.7987207808 GLULAM or CLT?
2019 4412 9940 ./. 19.324 26,632 29.122 41,852 6.283 8,847 5.391 6,112 2019 ./. 1,378.21 1437.111783524 1407.9732841706 1133.8045235275 LVL or CLT?
2019 4412 9950 ./. 0.779 3,085 9.480 11,784 0.224 1,073 4.448 2,925 2019 ./. 3,958.68 1243.0772968529 4785.9055036928 657.5989023536 LVL or CLT?
2019 4412 9985 ./. 5.978 8,810 24.883 33,387 2.564 3,460 1.417 1,838 2019 ./. 1,473.66 1341.737853295 1349.2434672581 1297.2897033491 LVL or CLT?
2019 4418 6000 ./. 5.212 4,903 16.937 11,351 3.288 3,570 1.084 863 2019 ./. 940.64 670.1816013776 1085.8985280372 795.8318030516 I-BEAMS / I-JOISTS?
2019 4418 9910 ./. 195.127 214,226 190.535 206,791 73.451 77,131 18.322 26,806 2019 ./. 1,097.88 1085.3187883558 1050.0957090811 1463.0339234569 GLULAM?
2019 4418 9990 ./. 98.027 162,705 99.724 161,200 27.254 59,913 9.894 25,142 2019 ./. 1,659.80 1616.4565454295 2198.3597807554 2541.1617171479 GLULAM or CLT?
2019 4421 9999 ./. 408.782 353,598 512.359 569,863 47.880 79,196 150.180 228,922 2019 ./. 865.00 1112.2344600282 1654.0690677981 1524.3205206697 GLULAM or CLT?

Definitions: Glulam: Builders' carpentry also includes glue-laminated timber (glulam), which is a structural timber product obtained by gluing together a number of wood laminations having their grain essentially parallel. Laminations of curved members are arranged so that the plane of each lamination is at 90 degrees to the plane of the applied load; thus, laminations of a straight gluman beam are laid flat. [from HS 4418, Builders' joinery and carpentry of wood, including cellular wood panels, assembled flooring panels, shingles and shakes] X-lam: Panels consisting of laths of roughly sawn wood, assembled with glue in order to facilitate transport or later working. [from HS4421, Other articles of wood]

ECE-EU Species

Country: DE Date:
Name of Official responsible for reply: 0 DISCREPANCIES
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade Official Address (in full): Checks Check Table
0 0 both VALUE and quantity reported ZERO
Trade in Roundwood and Sawnwood by species Telephone: 0 Fax: 0 - checks whether the sum of subitems is bigger than the total ZERO Q quantity ZERO when VALUE is reported
E-mail: 0 ZERO V Value ZERO when quantity is reported
Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC ( national currency) Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000NAC REPORT no figures reported
I M P O R T E X P O R T Import Export Import Export I M P O R T E X P O R T Value per I M P O R T E X P O R T Unit price check
Product Classification Classification Unit of 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 Classification Classification unit 2018 2019 2018 2019 IMPORT EXPORT
Code HS2017 CN2017 Product Quantity Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value HS2007 CN2007 Product
1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous 1000 m3ub 8,385.160 476,639 6,842.77 373,306.00 3,899.734 277,157 7,210.63 501,856.00 OK OK OK OK OK OK OK OK 4403.11/21/22/23/24/25/26 0 NAC/m3 57 55 71 70 ACCEPT ACCEPT PRODUCTION I M P O R T E X P O R T
ex4403.11 Fir/Spruce (Abies spp., Picea spp.) 1000 m3ub 4,973.653 315,721 4,783.66 266,779.00 3,008.209 216,913 6,217.43 441,037.00 OK OK OK OK OK OK OK OK ex4403.11 Fir/Spruce (Abies spp., Picea spp.) NAC/m3 63 56 72 71 ACCEPT ACCEPT Product Classification Classification Unit of 2018 2019 2018 2019 2018 2019
4403.23/24 4403 23 10 sawlogs and veneer logs 1000 m3ub 3,463.464 249,385 3,655.80 214,048.00 2,245.020 169,593 4,735.15 368,678.00 4403.23/24 4403 23 10 sawlogs and veneer logs (Abies alba, Picea abies) NAC/m3 72 59 76 78 ACCEPT ACCEPT Code HS2007 CN2007 Product Quantity Quantity Quantity Quantity Value Quantity Value Quantity Value Quantity Value
ex4403 11 00 4403 23 90 4403 24 00 pulpwood and other industrial roundwood 1000 m3ub 1,510.189 66,336 1,127.86 52,731.00 763.189 47,320 1,482.28 72,359.00 ex4403 11 00 4403 23 90 4403 24 00 pulpwood and other industrial roundwood (Abies alba, Picea abies) NAC/m3 44 47 62 49 ACCEPT ACCEPT 1 4401.11/12 44.03 Roundwood production 1000 m3 JQ1 75,233 76,167
ex4403.11 Pine (Pinus spp.) 1000 m3ub 2,859.954 130,788 1,658.71 84,117.00 579.423 36,521 627.28 34,089.00 OK OK OK OK OK OK OK OK ex4403.11 Pine (Pinus spp.) NAC/m3 46 51 63 54 ACCEPT ACCEPT EU2 75,233 76,167
4403.21/22 4403 21 10 sawlogs and veneer logs 1000 m3ub 898.565 62,282 576.16 43,324.00 353.453 24,837 304.31 17,998.00 4403.21/22 4403 21 10 sawlogs and veneer logs (Pinus sylvestris) NAC/m3 69 75 70 59 ACCEPT ACCEPT dif 0 0
ex4403 11 00 4403 21 90 4403 22 00 pulpwood and other industrial roundwood 1000 m3ub 1,961.389 68,506 1,082.55 40,793.00 225.970 11,684 322.98 16,091.00 ex4403 11 00 4403 21 90 4403 22 00 pulpwood and other industrial roundwood (Pinus sylvestris) NAC/m3 35 38 52 50 ACCEPT ACCEPT 1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood (wood in the rough), Coniferous 1000 m3 JQ2 8,385 476,639 6,843 373,306 3,900 277,157 7,211 501,856
ex4403.11 Other / Non-specified 1000 m3ub 542.254 26,601 380.04 19,257.00 305.754 14,533 352.83 25,034.00 OK OK OK OK OK OK OK OK ex4403.11 Other / Non-specified NAC/m3 49 51 48 71 ACCEPT ACCEPT ECE/EU 8,385 476,639 6,843 373,306 3,900 277,157 7,211 501,856
4403.25/26 4403 25 10 sawlogs and veneer logs 1000 m3ub 122.433 8,272 66.33 4,186.00 203.122 8,272 223.25 15,715.00 4403.25/26 4403 25 10 sawlogs and veneer logs NAC/m3 68 63 41 70 ACCEPT ACCEPT dif 0 0 0 0 0 0 0 0
ex4403 11 00 4403 25 90 4403 26 00 pulpwood and other industrial roundwood 1000 m3ub 419.821 18,329 313.71 15,071.00 102.632 6,261 129.58 9,319.00 ex4403 11 00 4403 25 90 4403 26 00 pulpwood and other industrial roundwood NAC/m3 44 48 61 72 ACCEPT ACCEPT 1.2.NC 4403.12/41/49/91/93/94/95/96/97/98/99 Industrial Roundwood (wood in the rough), Non-Coniferous 1000 m3 JQ2 525 54,087 449 49,392 1,464 183,391 1,420 171,577
1.2.NC 4403.12/41/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous 1000 m3ub 524.695 54,087 448.73 49,392.00 1,463.947 183,391 1,420.01 171,577.00 OK OK OK OK OK OK OK OK 4403.12/41/49/91/93/94 4403.95/96/97/98/99 0 NAC/m3 103 110 125 121 ACCEPT ACCEPT ECE/EU 525 54,087 449 49,392 1,464 183,391 1,420 171,577
ex4403.12 4403.91 of which: Oak (Quercus spp.) 1000 m3ub 47.871 12,630 41.67 11,194.00 253.843 45,997 203.81 35,860.00 ex4403.12 4403.91 of which: Oak (Quercus spp.) NAC/m3 264 269 181 176 ACCEPT ACCEPT dif 0 0 0 0 0 0 0 0
ex4403.12 4403.93/94 of which: Beech (Fagus spp.) 1000 m3ub 110.193 5,131 88.17 4,465.00 832.342 95,196 761.39 83,443.00 ex4403.12 4403.93/94 of which: Beech (Fagus spp.) NAC/m3 47 51 114 110 ACCEPT ACCEPT 6.C 4406.11/91 4407.11/12/19 Sawnwood, Coniferous 1000 m3 JQ2 5,162 1,104,891 4,838 996,972 8,263 1,760,906 8,867 1,692,360
ex4403.12 of which: Birch (Betula spp.) 1000 m3ub 64.696 3,906 24.57 1,770.00 59.976 3,692 31.72 1,589.00 OK OK OK OK OK OK OK OK ex4403.12 of which: Birch (Betula spp.) NAC/m3 60 72 62 50 ACCEPT ACCEPT ECE/EU 5,162 1,104,891 4,838 996,972 8,263 1,760,906 8,867 1,692,360
4403.95/96 4403 95 10 sawlogs and veneer logs 1000 m3ub 0.019 98 0.01 11.00 0.094 30 0.82 48.00 4403.95/96 4403 95 10 sawlogs and veneer logs NAC/m3 5158 846 319 59 CHECK CHECK dif 0 0 0 0 0 0 0 0
ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood 1000 m3ub 64.677 3,808 24.55 1,759.00 59.882 3,662 30.90 1,541.00 ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood NAC/m3 59 72 61 50 ACCEPT ACCEPT 6.NC 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 JQ2 392 236,875 410 216,211 780 387,058 764 382,255
ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) 1000 m3ub 67.083 2,586 31.05 1,111.00 24.020 1,526 75.98 4,194.00 ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 39 36 64 55 ACCEPT ACCEPT ECE/EU 392 236,875 410 216,211 780 387,058 764 382,255
ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) 1000 m3ub 0.873 885 1.42 1,373.00 0.000 1 0.04 51.00 ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) NAC/m3 1014 967 ZERO Q 1244 ACCEPT CHECK dif 0 0 -0 0 0 0 0 0
6.C 4406.11/91 4407.11/12/19 Sawnwood, Coniferous 1000 m3 5,161.967 1,104,891 4,838.01 996,972.00 8,263.498 1,760,906 8,867.02 1,692,360.00 OK OK OK OK OK OK OK OK 4406.11/91 4407.11/12/19 Sawnwood, Coniferous NAC/m3 214 206 213 191 ACCEPT ACCEPT
ex4406.11/91 4407.12 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3 3,546.944 768,601 3,400.22 690,736.00 5,539.075 1,191,293 6,261.34 1,202,815.00 ex4406.11/91 4407.12 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 217 203 215 192 ACCEPT ACCEPT
ex4406.11/91 4407.11 of which: Pine (Pinus spp.) 1000 m3 1,039.640 175,723 865.87 140,852.00 1,923.957 396,260 1,697.76 316,575.00 ex4406.11/91 4407.11 of which: Pine (Pinus spp.) NAC/m3 169 163 206 186 ACCEPT ACCEPT OK OK
6.NC 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 391.925 236,875 410.31 216,211.00 779.517 387,058 764.35 382,255.00 OK OK OK OK OK OK OK OK 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous NAC/m3 604 527 497 500 ACCEPT ACCEPT OK OK OK OK OK OK OK OK
ex4406.12/92 4407.91 of which: Oak (Quercus spp.) 1000 m3 107.728 90,462 116.15 81,473.00 134.497 93,780 119.20 85,539.00 ex4406.12/92 4407.91 of which: Oak (Quercus spp.) NAC/m3 840 701 697 718 ACCEPT ACCEPT OK OK OK OK OK OK OK OK
ex4406.12/92 4407.92 of which: Beech (Fagus spp.) 1000 m3 24.381 10,457 21.42 8,961.00 532.865 209,415 528.21 211,833.00 ex4406.12/92 4407.92 of which: Beech (Fagus spp.) NAC/m3 429 418 393 401 ACCEPT ACCEPT OK OK OK OK WRONG OK OK OK
ex4406.12/92 4407.93 of which: Maple (Acer spp.) 1000 m3 3.646 3,189 3.68 2,870.00 2.628 2,179 3.95 3,175.00 ex4406.12/92 4407.93 of which: Maple (Acer spp.) NAC/m3 875 779 829 804 ACCEPT ACCEPT WRONG OK WRONG OK WRONG OK WRONG OK
ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) 1000 m3 1.206 1,056 0.91 851.00 0.491 443 0.56 433.00 ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) NAC/m3 876 937 902 776 ACCEPT ACCEPT
ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) 1000 m3 12.532 6,297 11.45 5,496.00 32.884 12,524 33.13 11,585.00 ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) NAC/m3 502 480 381 350 ACCEPT ACCEPT
ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) 1000 m3 19.339 2,800 13.96 2,145.00 3.503 746 3.56 789.00 ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 145 154 213 222 ACCEPT ACCEPT
ex4406.12/92 4407.96 of which: Birch (Betula spp.) 1000 m3 15.825 2,212 13.70 2,170.00 1.316 283 1.48 387.00 ex4406.12/92 4407.96 of which: Birch (Betula spp.) NAC/m3 140 158 215 262 ACCEPT ACCEPT
Light blue cells are requested only for EU members using the Combined Nomenclature to fill in - other countries are welcome to do so if their trade classification nomenclature permits
"ex" codes indicate that only part of that trade classication code is used
Please note that information on tropical species trade is requested in questionnaire ITTO2 for ITTO member countries To fill: 0 0 0 0 0 0 0 0
m3ub = cubic metres underbark (i.e. excluding bark) Text: 0 0 0 0 0 0 0 0

EU1 ExtraEU Trade

EU1 Country: DE Date: JQ2/EU1 comparison 0 both VALUE and quantity reported ZERO
Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported
FOREST SECTOR QUESTIONNAIRE Official Address (in full): 0 JQ2>=EU1 ZERO V Value ZERO when quantity is reported
Trade with countries outside EU Telephone: 0 Fax: 0 Please verify if there's an error! Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC (national currency) E-mail: 0 Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000NAC Trade Discrepancies REPORT no figures reported
Product Unit of I M P O R T E X P O R T Import Export Import Export I M P O R T E X P O R T Product I M P O R T E X P O R T Product Value per I M P O R T E X P O R T Column1 Column2
code Product quantity 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 code 2018 2019 2018 2019 code Product unit 2018 2019 2018 2019 IMPORT EXPORT
Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 875.541 84,835 724.262 76,498 1,256.554 177,003 3,963.784 408,871 OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 97 106 141 103 ACCEPT CHECK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 149.719 16,040 124.475 13,954 3.382 1,087 2.473 784 OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 107 112 321 317 CHECK CHECK
1.1.C Coniferous 1000 m3ub 14.557 1,547 11.158 1,091 0.023 21 0.021 20 OK OK OK OK OK OK OK OK 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous NAC/m3 106 98 913 952 CHECK CHECK
1.1.NC Non-Coniferous 1000 m3ub 135.162 14,493 113.317 12,863 3.359 1,066 2.452 764 OK OK OK OK OK OK OK OK 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous NAC/m3 107 114 317 312 CHECK CHECK
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 725.822 68,795 599.787 62,544 1,253.172 175,916 3,961.311 408,087 OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 95 104 140 103 ACCEPT CHECK
1.2.C Coniferous 1000 m3ub 650.634 49,166 548.269 43,304 546.886 52,065 3,292.208 293,966 OK OK OK OK OK OK OK OK 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous NAC/m3 76 79 95 89 ACCEPT CHECK
1.2.NC Non-Coniferous 1000 m3ub 75.188 19,629 51.518 19,240 706.286 123,851 669.103 114,121 OK OK OK OK OK OK OK OK 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous NAC/mt 261 373 175 171 CHECK CHECK
1.2.NC.T of which: Tropical 1000 m3ub 7.847 4,008 9.476 4,636 0.189 709 0.344 865 OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical NAC/m3 511 489 3751 2515 CHECK CHECK
2 WOOD CHARCOAL 1000 mt 103.798 48,727 96.999 45,087 3.572 3,260 3.662 3,258 OK OK OK OK OK OK OK OK 2 WOOD CHARCOAL 1000 mt 2 WOOD CHARCOAL NAC/m3 469 465 913 890 ACCEPT CHECK
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 30.455 981 45.452 1,648 328.257 23,778 264.052 21,440 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES NAC/m3 32 36 72 81 ACCEPT CHECK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 26.715 819 15.534 808 220.262 14,107 162.441 12,040 OK OK OK OK OK OK OK OK 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES NAC/mt 31 52 64 74 ACCEPT CHECK
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.740 162 29.918 840 107.995 9,671 101.611 9,400 OK OK OK OK OK OK OK OK 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) NAC/mt 43 28 90 93 CHECK CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 mt 159.341 3,555 109.090 2,302 24.349 4,805 21.378 4,372 OK OK OK OK OK OK OK OK 4 RECOVERED POST-CONSUMER WOOD 1000 mt 4 RECOVERED POST-CONSUMER WOOD NAC/mt 22 21 197 205 CHECK CHECK
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 190.610 26,511 191.879 23,549 67.372 26,952 54.573 23,417 OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3 139 123 400 429 CHECK CHECK
5.1 WOOD PELLETS 1000 mt 48.540 6,592 41.985 5,918 54.593 21,039 42.729 17,864 OK OK OK OK OK OK OK OK 5.1 WOOD PELLETS 1000 mt 5.1 WOOD PELLETS NAC/m3 136 141 385 418 CHECK CHECK
5.2 OTHER AGGLOMERATES 1000 mt 142.070 19,919 149.894 17,631 12.779 5,913 11.844 5,553 OK OK OK OK OK OK OK OK 5.2 OTHER AGGLOMERATES 1000 mt 5.2 OTHER AGGLOMERATES NAC/m3 140 118 463 469 CHECK CHECK
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 1,941.111 446,339 1,836.150 411,923 3,467.463 890,584 4,098.123 901,977 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 230 224 257 220 ACCEPT CHECK
6.C Coniferous 1000 m3 1,760.231 324,449 1,668.442 307,595 2,985.654 675,819 3,629.608 690,904 OK OK OK OK OK OK OK OK 6.C Coniferous 1000 m3 6.C Coniferous NAC/m3 184 184 226 190 ACCEPT CHECK
6.NC Non-Coniferous 1000 m3 180.880 121,890 167.708 104,328 481.809 214,765 468.515 211,073 OK OK OK OK OK OK OK OK 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous NAC/m3 674 622 446 451 ACCEPT CHECK
6.NC.T of which: Tropical 1000 m3 65.696 60,411 66.217 48,962 10.042 13,113 8.819 11,671 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical NAC/m3 920 739 1306 1323 ACCEPT CHECK
7 VENEER SHEETS 1000 m3 37.966 51,040 31.544 45,705 15.888 51,764 15.111 51,942 OK OK OK OK OK OK OK OK 7 VENEER SHEETS 1000 m3 OK OK OK OK OK OK OK OK 7 VENEER SHEETS NAC/m3 1344 1449 3258 3437 CHECK CHECK
7.C Coniferous 1000 m3 4.896 7,520 4.145 6,507 0.086 711 0.256 1,147 OK OK OK OK OK OK OK OK 7.C Coniferous 1000 m3 7.C Coniferous NAC/m3 1536 1570 8267 4480 CHECK CHECK
7.NC Non-Coniferous 1000 m3 33.070 43,520 27.399 39,198 15.802 51,053 14.855 50,795 OK OK OK OK OK OK OK OK 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous NAC/m3 1316 1431 3231 3419 CHECK CHECK
7.NC.T of which: Tropical 1000 m3 7.918 7,217 6.415 5,465 1.248 4,086 1.169 3,923 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical NAC/m3 911 852 3274 3356 CHECK CHECK
8 WOOD-BASED PANELS 1000 m3 1,233.826 466,284 1,066.572 408,370 1,576.425 777,801 1,528.327 723,496 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS NAC/m3 378 383 493 473 ACCEPT CHECK
8.1 PLYWOOD 1000 m3 790.090 312,476 692.273 262,501 99.167 79,299 95.889 74,895 OK OK OK OK OK OK OK OK 8.1 PLYWOOD 1000 m3 OK OK OK OK OK OK OK OK 8.1 PLYWOOD NAC/m3 395 379 800 781 CHECK CHECK
8.1.C Coniferous 1000 m3 340.198 99,323 259.852 70,584 68.827 41,386 69.583 43,208 OK OK OK OK OK OK OK OK 8.1.C Coniferous 1000 m3 8.1.C Coniferous NAC/m3 292 272 601 621 CHECK CHECK
8.1.NC Non-Coniferous 1000 m3 449.892 213,153 432.421 191,918 30.340 37,913 26.306 31,688 OK OK OK OK OK OK OK OK 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous NAC/m3 474 444 1250 1205 CHECK CHECK
8.1.NC.T of which: Tropical 1000 m3 45.567 29,425 46.634 31,446 2.500 5,803 1.684 3,150 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical NAC/m3 646 674 2321 1871 CHECK CHECK
8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 208.254 57,046 204.863 55,944 433.211 125,535 450.552 123,519 OK OK OK OK OK OK OK OK 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 274 273 290 274 ACCEPT CHECK
8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 6.821 1,452 2.285 495 180.911 49,564 180.519 46,353 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 213 217 274 257 ACCEPT CHECK
8.3 FIBREBOARD 1000 m3 235.482 96,762 169.436 89,925 1,044.047 572,967 981.886 525,082 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD NAC/m3 411 531 549 535 ACCEPT CHECK
8.3.1 HARDBOARD 1000 m3 23.430 17,953 16.718 14,461 593.744 370,863 470.696 301,675 OK OK OK OK OK OK OK OK 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD NAC/mt 766 865 625 641 ACCEPT CHECK
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 133.723 68,865 108.690 69,012 332.587 188,315 350.930 205,882 OK OK OK OK OK OK OK OK 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt 515 635 566 587 ACCEPT CHECK
8.3.3 OTHER FIBREBOARD 1000 m3 78.329 9,944 44.028 6,452 117.716 13,789 160.260 17,525 OK OK OK OK OK OK OK OK 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD NAC/mt 127 147 117 109 ACCEPT CHECK
9 WOOD PULP 1000 mt 2,068.423 1,375,293 1,847.782 1,197,690 188.969 144,595 371.172 224,734 OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 mt Error OK OK OK Error Error OK OK 9 WOOD PULP NAC/mt 665 648 765 605 ACCEPT CHECK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 45.798 28,888 35.320 20,863 23.123 10,656 16.177 7,772 OK OK OK OK OK OK OK OK 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt 631 591 461 480 ACCEPT CHECK
9.2 CHEMICAL WOOD PULP 1000 mt 1,897.864 1,202,653 1,717.115 1,060,652 165.992 133,902 352.626 215,355 OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 mt Error OK Error Error OK OK OK Error 9.2 CHEMICAL WOOD PULP NAC/mt 634 618 807 611 ACCEPT CHECK
9.2.1 SULPHATE PULP 1000 mt 1,870.623 1,171,663 1,689.877 1,031,086 137.214 91,773 323.994 170,364 OK OK OK OK OK OK OK OK 9.2.1 SULPHATE PULP 1000 mt 9.2.1 SULPHATE PULP NAC/mt 626 610 669 526 ACCEPT CHECK
9.2.1.1 of which: BLEACHED 1000 mt 1,855.552 1,160,345 1,673.782 1,021,863 135.488 90,640 321.103 168,651 OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 mt OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED NAC/mt 625 611 669 525 ACCEPT CHECK
9.2.2 SULPHITE PULP 1000 mt 27.739 30,990 27.335 29,693 28.272 42,129 28.624 45,015 OK OK OK OK OK OK OK OK 9.2.2 SULPHITE PULP 1000 mt 9.2.2 SULPHITE PULP NAC/mt 1117 1086 1490 1573 ACCEPT CHECK
9.3 DISSOLVING GRADES 1000 mt 125.836 139,485 92.692 107,820 0.029 40 2.342 1,540 OK OK OK OK OK OK OK OK 9.3 DISSOLVING GRADES 1000 mt 9.3 DISSOLVING GRADES NAC/mt 1108 1163 1384 658 ACCEPT CHECK
10 OTHER PULP 1000 mt 84.740 19,731 99.748 20,035 62.630 30,878 51.282 26,706 OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 mt Error OK Error OK OK Error OK OK 10 OTHER PULP NAC/mt 233 201 493 521 CHECK CHECK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 8.012 15,459 6.463 13,083 0.475 472 0.522 618 OK OK OK OK OK OK OK OK 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt 1929 2024 994 1183 CHECK CHECK
10.2 RECOVERED FIBRE PULP 1000 mt 86.971 2,653 104.556 3,315 61.262 30,900 47.368 24,920 OK OK OK OK OK OK OK OK 10.2 RECOVERED FIBRE PULP 1000 mt 10.2 RECOVERED FIBRE PULP NAC/mt 31 32 504 526 CHECK CHECK
11 RECOVERED PAPER 1000 mt 435.270 59,862 414.623 54,238 637.606 78,708 548.600 57,071 OK OK OK OK OK OK OK OK 11 RECOVERED PAPER 1000 mt 11 RECOVERED PAPER NAC/mt 138 131 123 104 ACCEPT CHECK
12 PAPER AND PAPERBOARD 1000 mt 1,200.214 957,649 1,117.799 956,389 2,862.426 2,541,912 2,882.823 2,519,098 OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 mt OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD NAC/mt 798 856 888 874 ACCEPT CHECK
12.1 GRAPHIC PAPERS 1000 mt 570.416 430,795 511.152 428,467 1,192.896 1,047,175 1,126.623 1,054,396 OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 mt OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS NAC/mt 755 838 878 936 ACCEPT CHECK
12.1.1 NEWSPRINT 1000 mt 90.308 47,257 82.174 48,851 97.093 53,338 94.626 56,469 OK OK OK OK OK OK OK OK 12.1.1 NEWSPRINT 1000 mt 12.1.1 NEWSPRINT NAC/mt 523 594 549 597 ACCEPT CHECK
12.1.2 UNCOATED MECHANICAL 1000 mt 74.059 51,681 60.893 47,914 213.628 130,614 197.518 130,689 OK OK OK OK OK OK OK OK 12.1.2 UNCOATED MECHANICAL 1000 mt 12.1.2 UNCOATED MECHANICAL NAC/mt 698 787 611 662 ACCEPT CHECK
12.1.3 UNCOATED WOODFREE 1000 mt 146.447 131,739 133.555 134,010 208.047 256,458 203.038 272,691 OK OK OK OK OK OK OK OK 12.1.3 UNCOATED WOODFREE 1000 mt 12.1.3 UNCOATED WOODFREE NAC/mt 900 1003 1233 1343 ACCEPT CHECK
12.1.4 COATED PAPERS 1000 mt 259.602 200,118 234.530 197,693 674.128 606,766 631.440 594,547 OK OK OK OK OK OK OK OK 12.1.4 COATED PAPERS 1000 mt 12.1.4 COATED PAPERS NAC/mt 771 843 900 942 ACCEPT CHECK
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 22.392 31,508 21.657 33,259 27.783 50,738 25.620 49,380 OK OK OK OK OK OK OK OK 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt 1407 1536 1826 1927 ACCEPT CHECK
12.3 PACKAGING MATERIALS 1000 mt 597.116 470,279 575.384 466,815 1,621.528 1,377,094 1,710.993 1,342,250 OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 mt OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS NAC/mt 788 811 849 784 ACCEPT CHECK
12.3.1 CASE MATERIALS 1000 mt 304.940 169,536 290.744 150,103 943.949 544,422 1,017.873 492,867 OK OK OK OK OK OK OK OK 12.3.1 CASE MATERIALS 1000 mt 12.3.1 CASE MATERIALS NAC/mt 556 516 577 484 ACCEPT CHECK
12.3.2 CARTONBOARD 1000 mt 157.917 170,041 157.899 183,859 415.329 541,434 426.965 555,216 OK OK OK OK OK OK OK OK 12.3.2 CARTONBOARD 1000 mt 12.3.2 CARTONBOARD NAC/mt 1077 1164 1304 1300 ACCEPT CHECK
12.3.3 WRAPPING PAPERS 1000 mt 112.911 119,461 106.709 122,074 205.945 256,620 210.936 259,671 OK OK OK OK OK OK OK OK 12.3.3 WRAPPING PAPERS 1000 mt 12.3.3 WRAPPING PAPERS NAC/mt 1058 1144 1246 1231 ACCEPT CHECK
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 21.348 11,241 20.032 10,779 56.304 34,618 55.218 34,496 OK OK OK OK OK OK OK OK 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt 527 538 615 625 ACCEPT CHECK
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 10.290 25,067 9.606 27,848 20.218 66,904 19.587 73,072 OK OK OK OK OK OK OK OK 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt 2436 2899 3309 3731 ACCEPT CHECK
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1 1000 mt 53.811 44346.294 41.783 33945.884 23.598 11128.449 16.699 8389.444
To fill: 0 0 0 0 0 0 0 0
Text: 0 0 0 0 0 0 0 0

EU2 Removals

Country: DE Date:
Name of Official responsible for reply: 0
Official Address (in full): Check Table
0
Phone/Fax: 0 0
E-mail: 0
EU2
Please verify if there's an error!
FOREST SECTOR QUESTIONNAIRE
Removals by type of ownership Discrepancies
Flag Flag Note Note
Product code Ownership Product code Ownership
Unit 2018 2019 2018 2019 2018 2019 Unit 2018 2019
Quantity Quantity Quantity Quantity
ROUNDWOOD REMOVALS (under bark) ROUNDWOOD REMOVALS
1 ROUNDWOOD 1000 m3 75,232.66 76,167.43 9 1 ROUNDWOOD 1000 m3 OK OK
1.C Coniferous 1000 m3 55,243.09 56,052.86 9 1.C Coniferous 1000 m3 OK OK
1.NC Non-coniferous 1000 m3 19,989.56 20,114.57 9 1.NC Non-coniferous 1000 m3 OK OK
State forests 1000 m3 22,384.22 9 State forests 1000 m3 OK OK
Coniferous 1000 m3 16,171.61 9 Coniferous 1000 m3
Non-coniferous 1000 m3 6,212.61 9 Non-coniferous 1000 m3
Other publicly owned forests 1000 m3 13,875.79 9 Other publicly owned forests 1000 m3 OK OK
Coniferous 1000 m3 9,007.77 9 Coniferous 1000 m3
Non-coniferous 1000 m3 4,868.02 9 Non-coniferous 1000 m3
Private forest 1000 m3 38,972.64 9 Private forest 1000 m3 OK OK
Coniferous 1000 m3 30,063.71 9 Coniferous 1000 m3
Non-coniferous 1000 m3 8,908.93 9 Non-coniferous 1000 m3
To fill: 0 9
Text: 0 0
Note:
Ownership categories correspond to those of the TBFRA.
State forests: Forests owned by national, state and regional governments, or government-owned corporations; Crown forests.
Other publicly owned forests: Forests belonging to cities, municipalities, villages and communes.
Private forests: Forests owned by individuals, co-operatives, enterprises and industries and other private institutions.
The unit should be solid cubic metres, under bark.

ITTO1-Estimates

Country: DE Date:
Name of Official responsible for reply: 0
Official Address (in full): 0
ITTO1
Telephone: 0 Fax: 0
FOREST SECTOR QUESTIONNAIRE E-mail: 0
Production and Trade Estimates for 2019
Value must always be in 1000 NAC (national currency) 1000 NAC
Product Unit of Production Imports Exports
Code Product quantity Quantity Quantity Value Quantity Value
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 53,425 7,292 422,698 8,631 673,433
1.2.C Coniferous 1000 m3ub 46,835 6,843 49,392 7,211 501,856
1.2.NC Non-Coniferous 1000 m3ub 6,590 449 49,392 1,420 171,577
1.2.NC.T of which: Tropical 1000 m3ub 0 9 4,636 4 2,614
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 24,573 5,248 1,213,183 9,631 2,074,615
6.C Coniferous 1000 m3 23,307 4,838 996,972 8,867 1,692,360
6.NC Non-Coniferous 1000 m3 1,266 410 216,211 764 382,255
6.NC.T of which: Tropical 1000 m3 2 74 59,143 33 37,699
7 VENEER SHEETS 1000 m3 98 106 149,308 58 139,206
7.C Coniferous 1000 m3 14 28 18,392 1 2,401
7.NC Non-Coniferous 1000 m3 84 78 130,916 57 136,805
7.NC.T of which: Tropical 1000 m3 1 8 12,376 2 10,593
8.1 PLYWOOD 1000 m3 111 1,478 783,125 373 263,129
8.1.C Coniferous 1000 m3 44 519 221,608 133 72,288
8.1.NC Non-Coniferous 1000 m3 67 959 561,517 240 190,841
8.1.NC.T of which: Tropical 1000 m3 0 151 100,407 40 47,703
m3ub = cubic metres underbark (i.e. excluding bark)

ITTO2-Species

Country: DE Date:
ITTO2 Name of Official responsible for reply: 0
Official Address (in full): 0
FOREST SECTOR QUESTIONNAIRE
Trade in Tropical Species Telephone: 0 Fax: 0
E-mail: 0
Value must always be in 1000 NAC (national currency) 1000 NAC
I M P O R T E X P O R T
Product Classifications 2018 2019 2018 2019
HS2007/HS2002/HS96 Scientific Name Local/Trade Name Quantity Value Quantity Value Quantity Value Quantity Value
(1000 m3) (1000 m3) (1000 m3) (1000 m3)
1.2.NC.T HS2017:
Industrial Roundwood, Tropical ex4403.12 4403.41/49 4403 41 00 2.618 1,351 2.239 1,183 0.199 141 0.004 3
HS2012/2007: 4403 49 10 2.618 1,351 2.239 1,183 0.199 141 0.517 301
ex4403.10 4403.41/49 ex4403.99 4403 49 35 1.409 774 1.209 690 0.080 57 0.018 12
4403 49 85 3.820 1,883 6.028 2,763 4.473 2,257 3.827 2,298
6.NC.T HS2017:
4407 21 10 0.042 43 0.043 63 0.023 42 0.036 110
4407 21 99 0.058 96 0.006 5 0.028 91 0.013 28
4407 22 10 0.756 612 2.011 1,560 0.732 598 1.975 1,598
4407 22 91 0.266 153 0.070 41 0.003 6 0.012 24
4407 22 99 0.686 629 0.329 295 0.055 33 0.028 29
4407 25 30 0.083 136 0.072 123 0.079 121 0.087 126
4407 25 90 14.270 9,856 13.153 9,305 3.480 2,707 3.255 2,491
4407 26 90 0.267 143 0.373 217 0.239 129 0.293 172
4407 27 99 6.057 4,359 8.561 6,407 5.485 4,856 4.946 4,666
Sawnwood, Tropical ex4406.12/92 4407.21/22/25/26/27/28/29 4407 28 99 4.007 3,246 2.405 1,912 3.072 2,955 2.697 2,888
4407 29 15 1.629 842 1.254 715 0.024 50
HS2012/2007: 4407 29 83 2.531 2,279 1.747 1,755 1.237 1,818 1.060 1,782
ex4406.10/90 4407.21/22/25/26/27/28/30 4407 29 85 0.021 67
4407 29 95 35.315 37,904 37.423 29,277 18.595 21,680 14.920 17,948
4407 29 96 0.079 97 0.127 133 0.003 7 0.107 126
4407 29 98 5.823 7,044 6.026 7,286 2.771 5,822 3.114 4,210
7.NC.T HS2017:
4408 31 21 0.000 2 0.000 0
Veneer Sheets, Tropical 4408.31/39 4408 31 30 0.002 3 0.029 67 0.094 149 0.096 96
HS2012/2007: 4408 39 15 0.267 557 0.054 124 0.018 271 0.005 5
4408 39 21 0.005 5
4408.31/39 ex4408.90 4408 39 30 0.715 2,397 0.888 2,733 1.406 3,320 1.194 1,194
4408 39 55 0.074 148 0.040 100 0.068 212 0.001 1
4408 39 70 0.780 978 1.048 1,341
4408 39 85 1.279 5,113 0.876 4,038 0.847 5,045 0.823 823
4408 39 95 6.991 4,035 5.445 3,973 0.434 1,944 0.365 365
8.1.NC.T HS2017:
Plywood, Tropical 4412.31 ex4412.94/99 4412 31 10 20.403 18,648 20.473 19,411 1.049 2,121 1.202 1,818
HS2012/2007: 4412 31 90 118.720 68,733 109.289 66,188 42.577 48,245 36.866 42,779
4412.31 ex4412.32/94/99
Note: List the major species traded in each category. Use additional sheet if more species to be explicitly reported. For tropical plywood, identify by face veneer if composed of more than one species.

ITTO3-Miscellaneous

Country: Date:
Name of Official responsible for reply:
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE ITTO3
Miscellaneous Items Telephone: Fax:
(use additional paper if necessary) E-mail:
1 Please enter current import tariff rates applied to tropical and non-tropical timber products. If available, please provide tariffs by the relevant customs classification category. If tariff levels have been reported in previous years, enter changes only. (Logs = JQ code 1.2, Sawn = JQ code 6, Veneer = JQ code 7, and Plywood = JQ code 8.1)
Current import tariff Logs Tropical: Sawn Tropical: Veneer Tropical: Plywood Tropical:
Non-Tropical: Non-Tropical: Non-Tropical: Non-Tropical:
Comments (if any):
2 Please comment on any quotas, incentives, disincentives, tariff/non-tariff barriers or other related factors which now or in future will significantly affect your production and trade of tropical timber products.
3 Please elaborate on any short or medium term plans for expanding capacity for (further) processing of tropical timber products in your country.
4 Please indicate any trends or changes expected in the species composition of your trade. How important are lesser-used tropical timber species and/or minor tropical forest products?
5 Please indicate trends in domestic building activity, housing starts, mortgage/interest rates, substitution of non-tropical wood and/or non-wood products for tropical timbers, and any other domestic factors having a significant impact on tropical timber consumption in your country.
6 Please indicate the extent of foreign involvement in your timber sector (e.g. number and nationalities of concessionaires/mill (joint) owners, area of forest allocated, scale of investment, etc.).
7 Please provide details of any relevant forest law enforcement activities (e.g. legislation, fines, arrests, etc.) in your country in the past year.
8 Please indicate the current extent of forest plantations in your country (ha), annual establishment rate (ha/yr) and proportion of industrial roundwood production from plantations.

TS-OB

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 2014 2015 2016 2017 2018 2018 2019 14/15 15/16 16/17 17/18 18/18 18/19 2014 2015 2016 2017
DE P.OB 1000 m3 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_3_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_3_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ1

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 2014 2015 2016 2017 2018 2018 2019 14/15 15/16 16/17 17/18 18/18 18/19 2014 2015 2016 2017
DE P 1000 m3 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 75232.657 76167.429 !! !! !! !! !! 101.24%
DE P 1000 m3 1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 22358.979 22742.481 !! !! !! !! !! 101.72%
DE P 1000 m3 1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 9118.488 9217.775 !! !! !! !! !! 101.09%
DE P 1000 m3 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 13240.492 13524.707 !! !! !! !! !! 102.15%
DE P 1000 m3 1_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 52873.677 53424.947 !! !! !! !! !! 101.04%
DE P 1000 m3 1_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 46124.607 46835.085 !! !! !! !! !! 101.54%
DE P 1000 m3 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 6749.070 6589.863 !! !! !! !! !! 97.64%
DE P 1000 m3 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 m3 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 41625.878 40713.105 !! !! !! !! !! 97.81%
DE P 1000 m3 1_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 38098.957 37426.076 !! !! !! !! !! 98.23%
DE P 1000 m3 1_2_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3526.921 3287.030 !! !! !! !! !! 93.20%
DE P 1000 m3 1_2_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 11173.759 12640.046 !! !! !! !! !! 113.12%
DE P 1000 m3 1_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 7952.052 9337.666 !! !! !! !! !! 117.42%
DE P 1000 m3 1_2_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3221.707 3302.380 !! !! !! !! !! 102.50%
DE P 1000 m3 1_2_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 74.041 71.796 !! !! !! !! !! 96.97%
DE P 1000 m3 1_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 73.599 71.343 !! !! !! !! !! 96.93%
DE P 1000 m3 1_2_3_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.442 0.453 !! !! !! !! !! 102.56%
DE P 1000 m3 1_2_3_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 mt 2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 14941.336 14890.121 !! !! !! !! !! 99.66%
DE P 1000 m3 3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 10613.453 10972.406 !! !! !! !! !! 103.38%
DE P 1000 m3 3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4327.883 3917.715 !! !! !! !! !! 90.52%
DE P 1000 m3 3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 6601.000 6601.000 !! !! !! !! !! 100.00%
DE P 1000 mt 4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2704.927 3661.508 !! !! !! !! !! 135.36%
DE P 1000 mt 4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2415.000 2821.000 !! !! !! !! !! 116.81%
DE P 1000 mt 4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 289.927 840.508 !! !! !! !! !! 289.90%
DE P 1000 m3 5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 23769.456 24573.352 !! !! !! !! !! 103.38%
DE P 1000 m3 5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 22609.724 23306.983 !! !! !! !! !! 103.08%
DE P 1000 m3 5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1159.732 1266.369 !! !! !! !! !! 109.19%
DE P 1000 m3 5_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.966 1.594 !! !! !! !! !! 165.11%
DE P 1000 m3 6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 88.247 97.740 !! !! !! !! !! 110.76%
DE P 1000 m3 6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 12.355 13.966 !! !! !! !! !! 113.05%
DE P 1000 m3 6_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 75.892 83.774 !! !! !! !! !! 110.38%
DE P 1000 m3 6_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.851 1.405 !! !! !! !! !! 165.11%
DE P 1000 m3 6_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 12780.013 12407.917 !! !! !! !! !! 97.09%
DE P 1000 m3 6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 117.786 111.162 !! !! !! !! !! 94.38%
DE P 1000 m3 6_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 34.713 43.845 !! !! !! !! !! 126.31%
DE P 1000 m3 6_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 83.073 67.317 !! !! !! !! !! 81.03%
DE P 1000 m3 6_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.165 0.165 !! !! !! !! !! 100.00%
DE P 1000 m3 6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 6987.620 6877.729 !! !! !! !! !! 98.43%
DE P 1000 m3 6_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1230.209 1163.010 !! !! !! !! !! 94.54%
DE P 1000 m3 6_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5674.607 5419.026 !! !! !! !! !! 95.50%
DE P 1000 m3 6_4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 m3 6_4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3803.101 3628.603 !! !! !! !! !! 95.41%
DE P 1000 m3 6_4_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1871.506 1790.423 !! !! !! !! !! 95.67%
DE P 1000 mt 7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2459.000 2326.000 !! !! !! !! !! 94.59%
DE P 1000 mt 7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 813.000 728.000 !! !! !! !! !! 89.54%
DE P 1000 mt 7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1646.000 1598.000 !! !! !! !! !! 97.08%
DE P 1000 mt 7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1050.000 1009.000 !! !! !! !! !! 96.10%
DE P 1000 mt 7_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 mt 7_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 596.000 589.000 !! !! !! !! !! 98.83%
DE P 1000 mt 7_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 mt 7_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 14463.384 14413.242 !! !! !! !! !! 99.65%
DE P 1000 mt 7_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 84.384 73.242 !! !! !! !! !! 86.80%
DE P 1000 mt 8 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 14379.000 14340.000 !! !! !! !! !! 99.73%
DE P 1000 mt 8_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 17200.000 17154.000 !! !! !! !! !! 99.73%
DE P 1000 mt 8_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 22681.549 22070.274 !! !! !! !! !! 97.30%
DE P 1000 mt 9 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 7933.919 7272.262 !! !! !! !! !! 91.66%
DE P 1000 mt 10 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1210.115 1084.529 !! !! !! !! !! 89.62%
DE P 1000 mt 10_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2045.535 1908.698 !! !! !! !! !! 93.31%
DE P 1000 mt 10_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1635.755 1551.831 !! !! !! !! !! 94.87%
DE P 1000 mt 10_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3042.514 2727.204 !! !! !! !! !! 89.64%
DE P 1000 mt 10_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1508.083 1498.064 !! !! !! !! !! 99.34%
DE P 1000 mt 10_1_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 11838.960 11955.818 !! !! !! !! !! 100.99%
DE P 1000 mt 10_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8575.947 8736.318 !! !! !! !! !! 101.87%
DE P 1000 mt 10_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1765.456 1783.193 !! !! !! !! !! 101.00%
DE P 1000 mt 10_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 424.769 409.507 !! !! !! !! !! 96.41%
DE P 1000 mt 10_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1072.788 1026.800 !! !! !! !! !! 95.71%
DE P 1000 mt 10_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1400.587 1344.130 !! !! !! !! !! 95.97%
DE P 1000 mt 10_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 mt 10_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!

TS-JQ2

% Min: 80% Max: 120% Notes
JQ2 Country Flow Unit Product 2014 2015 2016 2017 2018 2018 2019 14/15 15/16 16/17 17/18 18/18 18/19 2014 2015 2016 2017
Q DE M 1000 m3 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 9340.788 7613.673 !! !! !! !! !! 81.51%
DE M 1000 NAC 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 568203.000 452406.000 !! !! !! !! !! 79.62%
UV DE M 1000 m3 1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 60.830 59.420 !! !! !! !! !! 97.68%
Q DE X 1000 m3 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5505.334 8769.105 !! !! !! !! !! 159.28%
DE X 1000 NAC 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 468864.000 680479.000 !! !! !! !! !! 145.13%
UV DE X 1000 m3 1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 85.165 77.600 !! !! !! !! !! 91.12%
Q DE M 1000 m3 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 430.933 322.173 !! !! !! !! !! 74.76%
DE M 1000 NAC 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 37477.000 29708.000 !! !! !! !! !! 79.27%
UV DE M 1000 m3 1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 86.967 92.211 !! !! !! !! !! 106.03%
Q DE X 1000 m3 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 141.653 138.465 !! !! !! !! !! 97.75%
DE X 1000 NAC 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8316.000 7046.000 !! !! !! !! !! 84.73%
UV DE X 1000 m3 1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 58.707 50.887 !! !! !! !! !! 86.68%
Q DE M 1000 m3 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 119.198 102.882 !! !! !! !! !! 86.31%
DE M 1000 NAC 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 11883.000 9832.000 !! !! !! !! !! 82.74%
UV DE M 1000 m3 1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 99.691 95.566 !! !! !! !! !! 95.86%
Q DE X 1000 m3 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 89.627 96.600 !! !! !! !! !! 107.78%
DE X 1000 NAC 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3001.000 2850.000 !! !! !! !! !! 94.97%
UV DE X 1000 m3 1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 33.483 29.503 !! !! !! !! !! 88.11%
Q DE M 1000 m3 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 311.735 219.291 !! !! !! !! !! 70.35%
DE M 1000 NAC 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 25594.000 19876.000 !! !! !! !! !! 77.66%
UV DE M 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 82.102 90.638 !! !! !! !! !! 110.40%
Q DE X 1000 m3 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 52.026 41.865 !! !! !! !! !! 80.47%
DE X 1000 NAC 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5315.000 4196.000 !! !! !! !! !! 78.95%
UV DE X 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 102.160 100.227 !! !! !! !! !! 98.11%
Q DE M 1000 m3 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8909.855 7291.500 !! !! !! !! !! 81.84%
DE M 1000 NAC 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 530726.000 422698.000 !! !! !! !! !! 79.65%
UV DE M 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 59.566 57.971 !! !! !! !! !! 97.32%
Q DE X 1000 m3 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5363.681 8630.640 !! !! !! !! !! 160.91%
DE X 1000 NAC 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 460548.000 673433.000 !! !! !! !! !! 146.22%
UV DE X 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 85.864 78.028 !! !! !! !! !! 90.87%
Q DE M 1000 m3 1_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8385.160 6842.766 !! !! !! !! !! 81.61%
DE M 1000 NAC 1_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 476639.000 373306.000 !! !! !! !! !! 78.32%
UV DE M 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 56.843 54.555 !! !! !! !! !! 95.97%
Q DE X 1000 m3 1_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3899.734 7210.630 !! !! !! !! !! 184.90%
DE X 1000 NAC 1_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 277157.000 501856.000 !! !! !! !! !! 181.07%
UV DE X 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 71.071 69.599 !! !! !! !! !! 97.93%
Q DE M 1000 mt 2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 524.695 448.734 !! !! !! !! !! 85.52%
DE M 1000 NAC 2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 54087.000 49392.000 !! !! !! !! !! 91.32%
UV DE M 1000 mt 2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 103.083 110.070 !! !! !! !! !! 106.78%
Q DE X 1000 mt 2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1463.947 1420.010 !! !! !! !! !! 97.00%
DE X 1000 NAC 2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 183391.000 171577.000 !! !! !! !! !! 93.56%
UV DE X 1000 mt 2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 125.272 120.828 !! !! !! !! !! 96.45%
Q DE M 1000 m3 3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 7.847 9.476 !! !! !! !! !! 120.76%
DE M 1000 NAC 3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4008.000 4636.000 !! !! !! !! !! 115.67%
UV DE M 1000 m3 3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 510.768 489.236 !! !! !! !! !! 95.78%
Q DE X 1000 m3 3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4.752 4.366 !! !! !! !! !! 91.88%
DE X 1000 NAC 3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2455.000 2614.000 !! !! !! !! !! 106.48%
UV DE X 1000 m3 3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 516.625 598.717 !! !! !! !! !! 115.89%
Q DE M 1000 m3 3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 235.071 185.126 !! !! !! !! !! 78.75%
DE M 1000 NAC 3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 109876.000 92761.000 !! !! !! !! !! 84.42%
UV DE M 1000 m3 3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 467.416 501.070 !! !! !! !! !! 107.20%
Q DE X 1000 m3 3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 26.829 21.082 !! !! !! !! !! 78.58%
DE X 1000 NAC 3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 23258.000 20734.000 !! !! !! !! !! 89.15%
UV DE X 1000 m3 3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 866.898 983.493 !! !! !! !! !! 113.45%
Q DE M 1000 m3 3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2093.552 1357.906 !! !! !! !! !! 64.86%
DE M 1000 NAC 3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 71009.000 45870.000 !! !! !! !! !! 64.60%
UV DE M 1000 m3 3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 33.918 33.780 !! !! !! !! !! 99.59%
Q DE X 1000 m3 3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2738.645 2652.016 !! !! !! !! !! 96.84%
DE X 1000 NAC 3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 128535.000 127756.000 !! !! !! !! !! 99.39%
UV DE X 1000 m3 3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 46.934 48.173 !! !! !! !! !! 102.64%
Q DE M 1000 mt 4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1307.246 747.015 !! !! !! !! !! 57.14%
DE M 1000 NAC 4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 41456.000 23074.000 !! !! !! !! !! 55.66%
UV DE M 1000 mt 4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 31.712 30.888 !! !! !! !! !! 97.40%
Q DE X 1000 mt 4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1995.080 1858.778 !! !! !! !! !! 93.17%
DE X 1000 NAC 4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 83276.000 81219.000 !! !! !! !! !! 97.53%
UV DE X 1000 mt 4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 41.741 43.695 !! !! !! !! !! 104.68%
Q DE M 1000 mt 4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 786.306 610.891 !! !! !! !! !! 77.69%
DE M 1000 NAC 4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 29553.000 22796.000 !! !! !! !! !! 77.14%
UV DE M 1000 mt 4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 37.585 37.316 !! !! !! !! !! 99.29%
Q DE X 1000 mt 4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 743.565 793.238 !! !! !! !! !! 106.68%
DE X 1000 NAC 4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 45259.000 46537.000 !! !! !! !! !! 102.82%
UV DE X 1000 mt 4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 60.868 58.667 !! !! !! !! !! 96.38%
Q DE M 1000 mt 4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 997.710 845.334 !! !! !! !! !! 84.73%
DE M 1000 NAC 4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 35922.000 31619.000 !! !! !! !! !! 88.02%
UV DE M 1000 mt 4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 36.004 37.404 !! !! !! !! !! 103.89%
Q DE X 1000 mt 4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 742.189 642.983 !! !! !! !! !! 86.63%
DE X 1000 NAC 4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 38120.000 38115.000 !! !! !! !! !! 99.99%
UV DE X 1000 mt 4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 51.362 59.278 !! !! !! !! !! 115.41%
Q DE M 1000 m3 5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 729.275 561.365 !! !! !! !! !! 76.98%
DE M 1000 NAC 5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 117611.000 88023.000 !! !! !! !! !! 74.84%
UV DE M 1000 m3 5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 161.271 156.802 !! !! !! !! !! 97.23%
Q DE X 1000 m3 5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 686.150 763.098 !! !! !! !! !! 111.21%
DE X 1000 NAC 5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 162044.000 175928.000 !! !! !! !! !! 108.57%
UV DE X 1000 m3 5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 236.164 230.544 !! !! !! !! !! 97.62%
Q DE M 1000 m3 5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 375.299 280.814 !! !! !! !! !! 74.82%
DE M 1000 NAC 5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 66295.000 51372.000 !! !! !! !! !! 77.49%
UV DE M 1000 m3 5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 176.646 182.940 !! !! !! !! !! 103.56%
Q DE X 1000 m3 5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 641.450 720.663 !! !! !! !! !! 112.35%
DE X 1000 NAC 5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 148856.000 163167.000 !! !! !! !! !! 109.61%
UV DE X 1000 m3 5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 232.062 226.412 !! !! !! !! !! 97.57%
Q DE M 1000 m3 5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 353.976 280.551 !! !! !! !! !! 79.26%
DE M 1000 NAC 5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 51316.000 36651.000 !! !! !! !! !! 71.42%
UV DE M 1000 m3 5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 144.970 130.639 !! !! !! !! !! 90.11%
Q DE X 1000 m3 5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 44.700 42.435 !! !! !! !! !! 94.93%
DE X 1000 NAC 5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 13188.000 12761.000 !! !! !! !! !! 96.76%
UV DE X 1000 m3 5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 295.034 300.719 !! !! !! !! !! 101.93%
Q DE M 1000 m3 5_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5553.892 5248.327 !! !! !! !! !! 94.50%
DE M 1000 NAC 5_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1341766.000 1213183.000 !! !! !! !! !! 90.42%
UV DE M 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 241.590 231.156 !! !! !! !! !! 95.68%
Q DE X 1000 m3 5_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 9043.016 9631.371 !! !! !! !! !! 106.51%
DE X 1000 NAC 5_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2147964.000 2074615.000 !! !! !! !! !! 96.59%
UV DE X 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 237.527 215.402 !! !! !! !! !! 90.69%
Q DE M 1000 m3 6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5161.967 4838.013 !! !! !! !! !! 93.72%
DE M 1000 NAC 6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1104891.000 996972.000 !! !! !! !! !! 90.23%
UV DE M 1000 m3 6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 214.045 206.071 !! !! !! !! !! 96.27%
Q DE X 1000 m3 6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8263.498 8867.019 !! !! !! !! !! 107.30%
DE X 1000 NAC 6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1760906.000 1692360.000 !! !! !! !! !! 96.11%
UV DE X 1000 m3 6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 213.095 190.860 !! !! !! !! !! 89.57%
Q DE M 1000 m3 6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 391.925 410.314 !! !! !! !! !! 104.69%
DE M 1000 NAC 6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 236875.000 216211.000 !! !! !! !! !! 91.28%
UV DE M 1000 m3 6_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 604.389 526.940 !! !! !! !! !! 87.19%
Q DE X 1000 m3 6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 779.518 764.352 !! !! !! !! !! 98.05%
DE X 1000 NAC 6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 387058.000 382255.000 !! !! !! !! !! 98.76%
UV DE X 1000 m3 6_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 496.535 500.103 !! !! !! !! !! 100.72%
Q DE M 1000 m3 6_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 71.890 73.792 !! !! !! !! !! 102.65%
DE M 1000 NAC 6_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 67506.000 59143.000 !! !! !! !! !! 87.61%
UV DE M 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 939.018 801.483 !! !! !! !! !! 85.35%
Q DE X 1000 m3 6_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 36.431 33.136 !! !! !! !! !! 90.96%
DE X 1000 NAC 6_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 42377.000 37699.000 !! !! !! !! !! 88.96%
UV DE X 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1163.213 1137.705 !! !! !! !! !! 97.81%
Q DE M 1000 m3 6_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 111.871 105.896 !! !! !! !! !! 94.66%
DE M 1000 NAC 6_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 153730.000 149308.000 !! !! !! !! !! 97.12%
UV DE M 1000 m3 6_1_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1374.172 1409.949 !! !! !! !! !! 102.60%
Q DE X 1000 m3 6_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 62.564 57.780 !! !! !! !! !! 92.35%
DE X 1000 NAC 6_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 142401.000 139206.000 !! !! !! !! !! 97.76%
UV DE X 1000 m3 6_1_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 2276.085 2409.242 !! !! !! !! !! 105.85%
Q DE M 1000 m3 6_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 28.407 27.724 !! !! !! !! !! 97.60%
DE M 1000 NAC 6_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 19032.000 18392.000 !! !! !! !! !! 96.64%
UV DE M 1000 m3 6_1_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 669.976 663.396 !! !! !! !! !! 99.02%
Q DE X 1000 m3 6_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.588 0.530 !! !! !! !! !! 90.14%
DE X 1000 NAC 6_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1985.000 2401.000 !! !! !! !! !! 120.96%
UV DE X 1000 m3 6_1_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 3375.850 4530.189 !! !! !! !! !! 134.19%
Q DE M 1000 m3 6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 83.464 78.172 !! !! !! !! !! 93.66%
DE M 1000 NAC 6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 134698.000 130916.000 !! !! !! !! !! 97.19%
UV DE M 1000 m3 6_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1613.845 1674.717 !! !! !! !! !! 103.77%
Q DE X 1000 m3 6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 61.976 57.250 !! !! !! !! !! 92.37%
DE X 1000 NAC 6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 140416.000 136805.000 !! !! !! !! !! 97.43%
UV DE X 1000 m3 6_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 2265.651 2389.607 !! !! !! !! !! 105.47%
Q DE M 1000 m3 6_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 10.108 8.380 !! !! !! !! !! 82.90%
DE M 1000 NAC 6_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 13231.000 12376.000 !! !! !! !! !! 93.54%
UV DE M 1000 m3 6_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1308.963 1476.850 !! !! !! !! !! 112.83%
Q DE X 1000 m3 6_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.867 2.489 !! !! !! !! !! 86.82%
DE X 1000 NAC 6_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 10943.000 10593.000 !! !! !! !! !! 96.80%
UV DE X 1000 m3 6_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 3816.882 4255.926 !! !! !! !! !! 111.50%
Q DE M 1000 m3 6_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5994.723 5703.858 !! !! !! !! !! 95.15%
DE M 1000 NAC 6_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2001549.000 1885732.000 !! !! !! !! !! 94.21%
UV DE M 1000 m3 6_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 333.885 330.606 !! !! !! !! !! 99.02%
Q DE X 1000 m3 6_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 6145.173 6000.438 !! !! !! !! !! 97.64%
DE X 1000 NAC 6_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2606912.000 2476932.000 !! !! !! !! !! 95.01%
UV DE X 1000 m3 6_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 424.221 412.792 !! !! !! !! !! 97.31%
Q DE M 1000 m3 6_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1619.917 1477.554 !! !! !! !! !! 91.21%
DE M 1000 NAC 6_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 846336.000 783125.000 !! !! !! !! !! 92.53%
UV DE M 1000 m3 6_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 522.456 530.014 !! !! !! !! !! 101.45%
Q DE X 1000 m3 6_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 392.903 372.812 !! !! !! !! !! 94.89%
DE X 1000 NAC 6_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 281307.000 263129.000 !! !! !! !! !! 93.54%
UV DE X 1000 m3 6_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 715.971 705.795 !! !! !! !! !! 98.58%
Q DE M 1000 m3 6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 609.096 518.673 !! !! !! !! !! 85.15%
DE M 1000 NAC 6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 244801.500 221608.000 !! !! !! !! !! 90.53%
UV DE M 1000 m3 6_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 401.910 427.260 !! !! !! !! !! 106.31%
Q DE X 1000 m3 6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 139.330 133.153 !! !! !! !! !! 95.57%
DE X 1000 NAC 6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 74347.500 72288.000 !! !! !! !! !! 97.23%
UV DE X 1000 m3 6_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 533.607 542.894 !! !! !! !! !! 101.74%
Q DE M 1000 m3 6_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1010.821 958.881 !! !! !! !! !! 94.86%
DE M 1000 NAC 6_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 601534.500 561517.000 !! !! !! !! !! 93.35%
UV DE M 1000 m3 6_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 595.095 585.596 !! !! !! !! !! 98.40%
Q DE X 1000 m3 6_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 253.573 239.659 !! !! !! !! !! 94.51%
DE X 1000 NAC 6_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 206959.500 190841.000 !! !! !! !! !! 92.21%
UV DE X 1000 m3 6_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 816.173 796.302 !! !! !! !! !! 97.57%
Q DE M 1000 m3 6_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 157.570 151.193 !! !! !! !! !! 95.95%
DE M 1000 NAC 6_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 99941.000 100407.000 !! !! !! !! !! 100.47%
UV DE M 1000 m3 6_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 634.264 664.098 !! !! !! !! !! 104.70%
Q DE X 1000 m3 6_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 45.112 39.613 !! !! !! !! !! 87.81%
DE X 1000 NAC 6_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 54575.000 47702.500 !! !! !! !! !! 87.41%
UV DE X 1000 m3 6_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1209.767 1204.213 !! !! !! !! !! 99.54%
Q DE M 1000 m3 6_4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2967.272 2737.291 !! !! !! !! !! 92.25%
DE M 1000 NAC 6_4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 745955.000 690899.000 !! !! !! !! !! 92.62%
UV DE M 1000 m3 6_4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 251.394 252.402 !! !! !! !! !! 100.40%
Q DE X 1000 m3 6_4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2432.904 2334.071 !! !! !! !! !! 95.94%
DE X 1000 NAC 6_4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 644000.000 601234.000 !! !! !! !! !! 93.36%
UV DE X 1000 m3 6_4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 264.704 257.590 !! !! !! !! !! 97.31%
Q DE M 1000 m3 6_4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 848.346 789.245 !! !! !! !! !! 93.03%
DE M 1000 NAC 6_4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 222536.000 203723.000 !! !! !! !! !! 91.55%
UV DE M 1000 m3 6_4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 262.317 258.124 !! !! !! !! !! 98.40%
Q DE X 1000 m3 6_4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 513.038 524.837 !! !! !! !! !! 102.30%
DE X 1000 NAC 6_4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 136684.000 132514.000 !! !! !! !! !! 96.95%
UV DE X 1000 m3 6_4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 266.421 252.486 !! !! !! !! !! 94.77%
Q DE M 1000 m3 6_4_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1407.534 1489.013 !! !! !! !! !! 105.79%
DE M 1000 NAC 6_4_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 409258.000 411708.000 !! !! !! !! !! 100.60%
UV DE M 1000 m3 6_4_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 290.762 276.497 !! !! !! !! !! 95.09%
Q DE X 1000 m3 6_4_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3319.366 3293.555 !! !! !! !! !! 99.22%
DE X 1000 NAC 6_4_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1681605.000 1612569.000 !! !! !! !! !! 95.89%
UV DE X 1000 m3 6_4_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 506.604 489.614 !! !! !! !! !! 96.65%
Q DE M 1000 mt 7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 227.579 217.559 !! !! !! !! !! 95.60%
DE M 1000 NAC 7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 100053.000 88249.000 !! !! !! !! !! 88.20%
UV DE M 1000 mt 7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 439.641 405.632 !! !! !! !! !! 92.26%
Q DE X 1000 mt 7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1502.497 1157.909 !! !! !! !! !! 77.07%
DE X 1000 NAC 7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 929142.000 727321.000 !! !! !! !! !! 78.28%
UV DE X 1000 mt 7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 618.399 628.133 !! !! !! !! !! 101.57%
Q DE M 1000 mt 7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 517.478 493.313 !! !! !! !! !! 95.33%
DE M 1000 NAC 7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 229539.000 232910.000 !! !! !! !! !! 101.47%
UV DE M 1000 mt 7_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 443.572 472.134 !! !! !! !! !! 106.44%
Q DE X 1000 mt 7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1557.822 1745.259 !! !! !! !! !! 112.03%
DE X 1000 NAC 7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 722417.000 843091.000 !! !! !! !! !! 116.70%
UV DE X 1000 mt 7_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 463.735 483.075 !! !! !! !! !! 104.17%
Q DE M 1000 mt 7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 662.477 778.141 !! !! !! !! !! 117.46%
DE M 1000 NAC 7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 79666.000 90549.000 !! !! !! !! !! 113.66%
UV DE M 1000 mt 7_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 120.255 116.366 !! !! !! !! !! 96.77%
Q DE X 1000 mt 7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 259.047 390.387 !! !! !! !! !! 150.70%
DE X 1000 NAC 7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 30046.000 42157.000 !! !! !! !! !! 140.31%
UV DE X 1000 mt 7_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 115.987 107.988 !! !! !! !! !! 93.10%
Q DE M 1000 mt 7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5076.000 4479.000 !! !! !! !! !! 88.24%
DE M 1000 NAC 7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3135736.000 2748903.000 !! !! !! !! !! 87.66%
UV DE M 1000 mt 7_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 617.757 613.731 !! !! !! !! !! 99.35%
Q DE X 1000 mt 7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1089.000 1213.000 !! !! !! !! !! 111.39%
DE X 1000 NAC 7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 711069.000 737533.000 !! !! !! !! !! 103.72%
UV DE X 1000 mt 7_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 652.956 608.024 !! !! !! !! !! 93.12%
Q DE M 1000 mt 7_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 179.000 193.000 !! !! !! !! !! 107.82%
DE M 1000 NAC 7_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 101557.000 114365.000 !! !! !! !! !! 112.61%
UV DE M 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 567.358 592.565 !! !! !! !! !! 104.44%
Q DE X 1000 mt 7_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 103.000 90.000 !! !! !! !! !! 87.38%
DE X 1000 NAC 7_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 47178.000 43391.000 !! !! !! !! !! 91.97%
UV DE X 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 458.039 482.122 !! !! !! !! !! 105.26%
Q DE M 1000 mt 7_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4478.000 3911.000 !! !! !! !! !! 87.34%
DE M 1000 NAC 7_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2683323.000 2312458.000 !! !! !! !! !! 86.18%
UV DE M 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 599.224 591.270 !! !! !! !! !! 98.67%
Q DE X 1000 mt 7_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 973.000 1111.000 !! !! !! !! !! 114.18%
DE X 1000 NAC 7_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 648267.000 680546.000 !! !! !! !! !! 104.98%
UV DE X 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 666.256 612.553 !! !! !! !! !! 91.94%
Q DE M 1000 mt 7_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4392.000 3831.000 !! !! !! !! !! 87.23%
DE M 1000 NAC 7_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2596583.000 2230306.000 !! !! !! !! !! 85.89%
UV DE M 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 591.207 582.173 !! !! !! !! !! 98.47%
Q DE X 1000 mt 7_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 888.000 1029.000 !! !! !! !! !! 115.88%
DE X 1000 NAC 7_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 544271.000 574169.000 !! !! !! !! !! 105.49%
UV DE X 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 612.918 557.987 !! !! !! !! !! 91.04%
Q DE M 1000 mt 7_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4263.000 3720.000 !! !! !! !! !! 87.26%
DE M 1000 NAC 7_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2526621.000 2171197.000 !! !! !! !! !! 85.93%
UV DE M 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 592.686 583.655 !! !! !! !! !! 98.48%
Q DE X 1000 mt 7_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 881.000 1017.000 !! !! !! !! !! 115.44%
DE X 1000 NAC 7_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 539744.000 566964.000 !! !! !! !! !! 105.04%
UV DE X 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 612.649 557.487 !! !! !! !! !! 91.00%
Q DE M 1000 mt 7_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 86.000 80.000 !! !! !! !! !! 93.02%
DE M 1000 NAC 7_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 86740.000 82152.000 !! !! !! !! !! 94.71%
UV DE M 1000 mt 7_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1008.605 1026.900 !! !! !! !! !! 101.81%
Q DE X 1000 mt 7_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 85.000 82.000 !! !! !! !! !! 96.47%
DE X 1000 NAC 7_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 103996.000 106377.000 !! !! !! !! !! 102.29%
UV DE X 1000 mt 7_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1223.482 1297.280 !! !! !! !! !! 106.03%
Q DE M 1000 mt 8 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 419.000 375.000 !! !! !! !! !! 89.50%
DE M 1000 NAC 8 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 350856.000 322080.000 !! !! !! !! !! 91.80%
UV DE M 1000 mt 8 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 837.365 858.880 !! !! !! !! !! 102.57%
Q DE X 1000 mt 8 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 13.000 12.000 !! !! !! !! !! 92.31%
DE X 1000 NAC 8 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 15624.000 13596.000 !! !! !! !! !! 87.02%
UV DE X 1000 mt 8 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1201.846 1133.000 !! !! !! !! !! 94.27%
Q DE M 1000 mt 8_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 113.000 138.000 !! !! !! !! !! 122.12%
DE M 1000 NAC 8_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 30733.000 33374.000 !! !! !! !! !! 108.59%
UV DE M 1000 mt 8_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 271.973 241.841 !! !! !! !! !! 88.92%
Q DE X 1000 mt 8_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 139.000 118.000 !! !! !! !! !! 84.89%
DE X 1000 NAC 8_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 64645.000 57240.000 !! !! !! !! !! 88.55%
UV DE X 1000 mt 8_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 465.072 485.085 !! !! !! !! !! 104.30%
Q DE M 1000 mt 8_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 16.000 14.000 !! !! !! !! !! 87.50%
DE M 1000 NAC 8_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 23009.000 19856.000 !! !! !! !! !! 86.30%
UV DE M 1000 mt 8_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1438.063 1418.286 !! !! !! !! !! 98.62%
Q DE X 1000 mt 8_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.000 1.000 !! !! !! !! !! 100.00%
DE X 1000 NAC 8_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1010.000 1261.000 !! !! !! !! !! 124.85%
UV DE X 1000 mt 8_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1010.000 1261.000 !! !! !! !! !! 124.85%
Q DE M 1000 mt 9 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 97.000 124.000 !! !! !! !! !! 127.84%
DE M 1000 NAC 9 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 7724.000 13518.000 !! !! !! !! !! 175.01%
UV DE M 1000 mt 9 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 79.629 109.016 !! !! !! !! !! 136.91%
Q DE X 1000 mt 9 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 138.000 117.000 !! !! !! !! !! 84.78%
DE X 1000 NAC 9 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 63635.000 55979.000 !! !! !! !! !! 87.97%
UV DE X 1000 mt 9 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 461.123 478.453 !! !! !! !! !! 103.76%
Q DE M 1000 mt 10 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4915.000 4903.000 !! !! !! !! !! 99.76%
DE M 1000 NAC 10 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 696714.000 669981.000 !! !! !! !! !! 96.16%
UV DE M 1000 mt 10 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 141.753 136.647 !! !! !! !! !! 96.40%
Q DE X 1000 mt 10 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2824.000 2501.000 !! !! !! !! !! 88.56%
DE X 1000 NAC 10 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 337334.000 271490.000 !! !! !! !! !! 80.48%
UV DE X 1000 mt 10 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 119.453 108.553 !! !! !! !! !! 90.88%
Q DE M 1000 mt 10_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 11631.569 10996.908 !! !! !! !! !! 94.54%
DE M 1000 NAC 10_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8898689.000 8979519.959 !! !! !! !! !! 100.91%
UV DE M 1000 mt 10_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 765.046 816.550 !! !! !! !! !! 106.73%
Q DE X 1000 mt 10_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 14277.573 14260.659 !! !! !! !! !! 99.88%
DE X 1000 NAC 10_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 12148749.000 11930403.705 !! !! !! !! !! 98.20%
UV DE X 1000 mt 10_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 850.897 836.596 !! !! !! !! !! 98.32%
Q DE M 1000 mt 10_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5213.742 4706.343 !! !! !! !! !! 90.27%
DE M 1000 NAC 10_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3533510.000 3508066.588 !! !! !! !! !! 99.28%
UV DE M 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 677.730 745.391 !! !! !! !! !! 109.98%
Q DE X 1000 mt 10_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5629.628 5285.071 !! !! !! !! !! 93.88%
DE X 1000 NAC 10_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4326335.000 4299661.304 !! !! !! !! !! 99.38%
UV DE X 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 768.494 813.549 !! !! !! !! !! 105.86%
Q DE M 1000 mt 10_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 782.517 750.007 !! !! !! !! !! 95.85%
DE M 1000 NAC 10_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 389609.000 399222.415 !! !! !! !! !! 102.47%
UV DE M 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 497.892 532.292 !! !! !! !! !! 106.91%
Q DE X 1000 mt 10_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 459.295 450.512 !! !! !! !! !! 98.09%
DE X 1000 NAC 10_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 225917.000 236471.066 !! !! !! !! !! 104.67%
UV DE X 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 491.878 524.893 !! !! !! !! !! 106.71%
Q DE M 1000 mt 10_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 641.719 569.363 !! !! !! !! !! 88.72%
DE M 1000 NAC 10_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 426085.000 399410.631 !! !! !! !! !! 93.74%
UV DE M 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 663.975 701.505 !! !! !! !! !! 105.65%
Q DE X 1000 mt 10_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1010.555 940.927 !! !! !! !! !! 93.11%
DE X 1000 NAC 10_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 553230.000 545508.364 !! !! !! !! !! 98.60%
UV DE X 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 547.452 579.757 !! !! !! !! !! 105.90%
Q DE M 1000 mt 10_1_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1268.944 1217.805 !! !! !! !! !! 95.97%
DE M 1000 NAC 10_1_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1086119.000 1089512.476 !! !! !! !! !! 100.31%
UV DE M 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 855.924 894.652 !! !! !! !! !! 104.52%
Q DE X 1000 mt 10_1_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 984.144 958.855 !! !! !! !! !! 97.43%
DE X 1000 NAC 10_1_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1086251.000 1135826.867 !! !! !! !! !! 104.56%
UV DE X 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1103.753 1184.566 !! !! !! !! !! 107.32%
Q DE M 1000 mt 10_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2520.563 2169.168 !! !! !! !! !! 86.06%
DE M 1000 NAC 10_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1631697.000 1619921.066 !! !! !! !! !! 99.28%
UV DE M 1000 mt 10_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 647.354 746.794 !! !! !! !! !! 115.36%
Q DE X 1000 mt 10_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3175.635 2934.777 !! !! !! !! !! 92.42%
DE X 1000 NAC 10_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2460937.000 2381855.008 !! !! !! !! !! 96.79%
UV DE X 1000 mt 10_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 774.943 811.597 !! !! !! !! !! 104.73%
Q DE M 1000 mt 10_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 205.120 198.000 !! !! !! !! !! 96.53%
DE M 1000 NAC 10_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 259765.000 271000.000 !! !! !! !! !! 104.33%
UV DE M 1000 mt 10_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1266.404 1368.687 !! !! !! !! !! 108.08%
Q DE X 1000 mt 10_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 132.750 122.000 !! !! !! !! !! 91.90%
DE X 1000 NAC 10_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 214905.000 206000.000 !! !! !! !! !! 95.86%
UV DE X 1000 mt 10_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1618.873 1688.525 !! !! !! !! !! 104.30%
Q DE M 1000 mt 10_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5517.775 5374.669 !! !! !! !! !! 97.41%
DE M 1000 NAC 10_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3934496.000 3918734.723 !! !! !! !! !! 99.60%
UV DE M 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 713.058 729.112 !! !! !! !! !! 102.25%
Q DE X 1000 mt 10_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 7577.127 7933.266 !! !! !! !! !! 104.70%
DE X 1000 NAC 10_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5684300.000 5457875.332 !! !! !! !! !! 96.02%
UV DE X 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 750.192 687.973 !! !! !! !! !! 91.71%
Q DE M 1000 mt 10_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2862.804 2634.570 !! !! !! !! !! 92.03%
DE M 1000 NAC 10_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1327352.000 1184763.962 !! !! !! !! !! 89.26%
UV DE M 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 463.655 449.699 !! !! !! !! !! 96.99%
Q DE X 1000 mt 10_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4378.702 4708.802 !! !! !! !! !! 107.54%
DE X 1000 NAC 10_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2136731.000 1933546.333 !! !! !! !! !! 90.49%
UV DE X 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 487.983 410.624 !! !! !! !! !! 84.15%
Q DE M 1000 mt 10_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1381.929 1465.607 !! !! !! !! !! 106.06%
DE M 1000 NAC 10_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1412619.000 1516324.058 !! !! !! !! !! 107.34%
UV DE M 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1022.208 1034.605 !! !! !! !! !! 101.21%
Q DE X 1000 mt 10_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2061.233 2127.018 !! !! !! !! !! 103.19%
DE X 1000 NAC 10_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2357607.000 2385499.069 !! !! !! !! !! 101.18%
UV DE X 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1143.785 1121.523 !! !! !! !! !! 98.05%
Q DE M 1000 mt 10_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 994.491 999.780 !! !! !! !! !! 100.53%
DE M 1000 NAC 10_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 983139.000 1008730.752 !! !! !! !! !! 102.60%
UV DE M 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 988.585 1008.952 !! !! !! !! !! 102.06%
Q DE X 1000 mt 10_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 832.675 801.221 !! !! !! !! !! 96.22%
DE X 1000 NAC 10_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 974468.000 920475.719 !! !! !! !! !! 94.46%
UV DE X 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1170.286 1148.841 !! !! !! !! !! 98.17%
Q DE M 1000 mt 10_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 278.552 274.712 !! !! !! !! !! 98.62%
DE M 1000 NAC 10_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 211386.000 208915.951 !! !! !! !! !! 98.83%
UV DE M 1000 mt 10_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 758.875 760.492 !! !! !! !! !! 100.21%
Q DE X 1000 mt 10_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 304.517 296.225 !! !! !! !! !! 97.28%
DE X 1000 NAC 10_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 215494.000 218354.211 !! !! !! !! !! 101.33%
UV DE X 1000 mt 10_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 707.658 737.123 !! !! !! !! !! 104.16%

TS-JQ3

% Min: 80% Max: 120% Notes
JQ3 Country Flow Unit Product 2014 2015 2016 2017 2018 2018 2019 14/15 15/16 16/17 17/18 18/18 18/19 2014 2015 2016 2017
DE M 1000 NAC 11_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!

TS-ECEEU

% Min: 80% Max: 120% Notes
ECEEU Country Flow Unit Product 2014 2015 2016 2017 2018 2018 2019 14/15 15/16 16/17 17/18 18/18 18/19 2014 2015 2016 2017
Q DE M 1000 m3 ST_1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8385.160 6842.766 !! !! !! !! !! 81.61%
DE M 1000 NAC ST_1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 476639.000 373306.000 !! !! !! !! !! 78.32%
UV DE M 1000 m3 ST_1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 56.843 54.555 !! !! !! !! !! 95.97%
Q DE X 1000 m3 ST_1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3899.734 7210.630 !! !! !! !! !! 184.90%
DE X 1000 NAC ST_1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 277157.000 501856.000 !! !! !! !! !! 181.07%
UV DE X 1000 m3 ST_1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 71.071 69.599 !! !! !! !! !! 97.93%
Q DE M 1000 m3 ST_1_2_C_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4973.653 4783.655 !! !! !! !! !! 96.18%
DE M 1000 NAC ST_1_2_C_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 315721.000 266779.000 !! !! !! !! !! 84.50%
UV DE M 1000 m3 ST_1_2_C_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 63.479 55.769 !! !! !! !! !! 87.85%
Q DE X 1000 m3 ST_1_2_C_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3008.209 6217.429 !! !! !! !! !! 206.68%
DE X 1000 NAC ST_1_2_C_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 216913.000 441037.000 !! !! !! !! !! 203.32%
UV DE X 1000 m3 ST_1_2_C_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 72.107 70.936 !! !! !! !! !! 98.38%
Q DE M 1000 m3 ST_1_2_C_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3463.464 3655.795 !! !! !! !! !! 105.55%
DE M 1000 NAC ST_1_2_C_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 249385.000 214048.000 !! !! !! !! !! 85.83%
UV DE M 1000 m3 ST_1_2_C_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 72.005 58.550 !! !! !! !! !! 81.31%
Q DE X 1000 m3 ST_1_2_C_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2245.020 4735.151 !! !! !! !! !! 210.92%
DE X 1000 NAC ST_1_2_C_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 169593.000 368678.000 !! !! !! !! !! 217.39%
UV DE X 1000 m3 ST_1_2_C_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 75.542 77.860 !! !! !! !! !! 103.07%
Q DE M 1000 m3 ST_1_2_C_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 898.565 576.157 !! !! !! !! !! 64.12%
DE M 1000 NAC ST_1_2_C_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 62282.000 43324.000 !! !! !! !! !! 69.56%
UV DE M 1000 m3 ST_1_2_C_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 69.313 75.195 !! !! !! !! !! 108.49%
Q DE X 1000 m3 ST_1_2_C_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 353.453 304.307 !! !! !! !! !! 86.10%
DE X 1000 NAC ST_1_2_C_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 24837.000 17998.000 !! !! !! !! !! 72.46%
UV DE X 1000 m3 ST_1_2_C_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 70.270 59.144 !! !! !! !! !! 84.17%
Q DE M 1000 m3 ST_1_2_C_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 122.433 66.331 !! !! !! !! !! 54.18%
DE M 1000 NAC ST_1_2_C_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8272.000 4186.000 !! !! !! !! !! 50.60%
UV DE M 1000 m3 ST_1_2_C_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 67.563 63.108 !! !! !! !! !! 93.41%
Q DE X 1000 m3 ST_1_2_C_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 203.122 223.245 !! !! !! !! !! 109.91%
DE X 1000 NAC ST_1_2_C_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8272.000 15715.000 !! !! !! !! !! 189.98%
UV DE X 1000 m3 ST_1_2_C_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 40.724 70.394 !! !! !! !! !! 172.85%
Q DE M 1000 m3 ST_1_2_C_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2859.954 1658.705 !! !! !! !! !! 58.00%
DE M 1000 NAC ST_1_2_C_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 130788.000 84117.000 !! !! !! !! !! 64.32%
UV DE M 1000 m3 ST_1_2_C_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 45.731 50.712 !! !! !! !! !! 110.89%
Q DE X 1000 m3 ST_1_2_C_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 579.423 627.284 !! !! !! !! !! 108.26%
DE X 1000 NAC ST_1_2_C_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 36521.000 34089.000 !! !! !! !! !! 93.34%
UV DE X 1000 m3 ST_1_2_C_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 63.030 54.344 !! !! !! !! !! 86.22%
Q DE M 1000 m3 ST_1_2_C_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1510.189 1127.860 !! !! !! !! !! 74.68%
DE M 1000 NAC ST_1_2_C_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 66336.000 52731.000 !! !! !! !! !! 79.49%
UV DE M 1000 m3 ST_1_2_C_2_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 43.926 46.753 !! !! !! !! !! 106.44%
Q DE X 1000 m3 ST_1_2_C_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 763.189 1482.278 !! !! !! !! !! 194.22%
DE X 1000 NAC ST_1_2_C_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 47320.000 72359.000 !! !! !! !! !! 152.91%
UV DE X 1000 m3 ST_1_2_C_2_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 62.003 48.816 !! !! !! !! !! 78.73%
Q DE M 1000 m3 ST_1_2_C_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1961.389 1082.548 !! !! !! !! !! 55.19%
DE M 1000 NAC ST_1_2_C_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 68506.000 40793.000 !! !! !! !! !! 59.55%
UV DE M 1000 m3 ST_1_2_C_2_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 34.927 37.682 !! !! !! !! !! 107.89%
Q DE X 1000 m3 ST_1_2_C_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 225.970 322.977 !! !! !! !! !! 142.93%
DE X 1000 NAC ST_1_2_C_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 11684.000 16091.000 !! !! !! !! !! 137.72%
UV DE X 1000 m3 ST_1_2_C_2_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 51.706 49.821 !! !! !! !! !! 96.35%
Q DE M 1000 m3 ST_1_2_C_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 419.821 313.706 !! !! !! !! !! 74.72%
DE M 1000 NAC ST_1_2_C_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 18329.000 15071.000 !! !! !! !! !! 82.22%
UV DE M 1000 m3 ST_1_2_C_2_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 43.659 48.042 !! !! !! !! !! 110.04%
Q DE X 1000 m3 ST_1_2_C_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 102.632 129.581 !! !! !! !! !! 126.26%
DE X 1000 NAC ST_1_2_C_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 6261.000 9319.000 !! !! !! !! !! 148.84%
UV DE X 1000 m3 ST_1_2_C_2_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 61.004 71.916 !! !! !! !! !! 117.89%
Q DE M 1000 m3 ST_1_2_C_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 542.254 380.037 !! !! !! !! !! 70.08%
DE M 1000 NAC ST_1_2_C_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 26601.000 19257.000 !! !! !! !! !! 72.39%
UV DE M 1000 m3 ST_1_2_C_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 49.056 50.671 !! !! !! !! !! 103.29%
Q DE X 1000 m3 ST_1_2_C_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 305.754 352.826 !! !! !! !! !! 115.40%
DE X 1000 NAC ST_1_2_C_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 14533.000 25034.000 !! !! !! !! !! 172.26%
UV DE X 1000 m3 ST_1_2_C_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 47.532 70.953 !! !! !! !! !! 149.27%
Q DE M 1000 m3 ST_1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 524.695 448.734 !! !! !! !! !! 85.52%
DE M 1000 NAC ST_1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 54087.000 49392.000 !! !! !! !! !! 91.32%
UV DE M 1000 m3 ST_1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 103.083 110.070 !! !! !! !! !! 106.78%
Q DE X 1000 m3 ST_1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1463.947 1420.010 !! !! !! !! !! 97.00%
DE X 1000 NAC ST_1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 183391.000 171577.000 !! !! !! !! !! 93.56%
UV DE X 1000 m3 ST_1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 125.272 120.828 !! !! !! !! !! 96.45%
Q DE M 1000 m3 ST_1_2_NC_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 47.871 41.672 !! !! !! !! !! 87.05%
DE M 1000 NAC ST_1_2_NC_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 12630.000 11194.000 !! !! !! !! !! 88.63%
UV DE M 1000 m3 ST_1_2_NC_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 263.834 268.622 !! !! !! !! !! 101.81%
Q DE X 1000 m3 ST_1_2_NC_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 253.843 203.807 !! !! !! !! !! 80.29%
DE X 1000 NAC ST_1_2_NC_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 45997.000 35860.000 !! !! !! !! !! 77.96%
UV DE X 1000 m3 ST_1_2_NC_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 181.203 175.951 !! !! !! !! !! 97.10%
Q DE M 1000 m3 ST_1_2_NC_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 110.193 88.167 !! !! !! !! !! 80.01%
DE M 1000 NAC ST_1_2_NC_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5131.000 4465.000 !! !! !! !! !! 87.02%
UV DE M 1000 m3 ST_1_2_NC_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 46.564 50.643 !! !! !! !! !! 108.76%
Q DE X 1000 m3 ST_1_2_NC_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 832.342 761.393 !! !! !! !! !! 91.48%
DE X 1000 NAC ST_1_2_NC_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 95196.000 83443.000 !! !! !! !! !! 87.65%
UV DE X 1000 m3 ST_1_2_NC_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 114.371 109.593 !! !! !! !! !! 95.82%
Q DE M 1000 m3 ST_1_2_NC_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 64.677 24.553 !! !! !! !! !! 37.96%
DE M 1000 NAC ST_1_2_NC_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3808.000 1759.000 !! !! !! !! !! 46.19%
UV DE M 1000 m3 ST_1_2_NC_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 58.877 71.641 !! !! !! !! !! 121.68%
Q DE X 1000 m3 ST_1_2_NC_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 59.882 30.901 !! !! !! !! !! 51.60%
DE X 1000 NAC ST_1_2_NC_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3662.000 1541.000 !! !! !! !! !! 42.08%
UV DE X 1000 m3 ST_1_2_NC_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 61.154 49.869 !! !! !! !! !! 81.55%
Q DE M 1000 m3 ST_1_2_NC_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5161.967 4838.013 !! !! !! !! !! 93.72%
DE M 1000 NAC ST_1_2_NC_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1104891.000 996972.000 !! !! !! !! !! 90.23%
UV DE M 1000 m3 ST_1_2_NC_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 214.045 206.071 !! !! !! !! !! 96.27%
Q DE X 1000 m3 ST_1_2_NC_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8263.498 8867.019 !! !! !! !! !! 107.30%
DE X 1000 NAC ST_1_2_NC_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1760906.000 1692360.000 !! !! !! !! !! 96.11%
UV DE X 1000 m3 ST_1_2_NC_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 213.095 190.860 !! !! !! !! !! 89.57%
Q DE M 1000 m3 ST_1_2_NC_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.019 0.013 !! !! !! !! !! 68.42%
DE M 1000 NAC ST_1_2_NC_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 98.000 11.000 !! !! !! !! !! 11.22%
UV DE M 1000 m3 ST_1_2_NC_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 5157.895 846.154 !! !! !! !! !! 16.41%
Q DE X 1000 m3 ST_1_2_NC_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.094 0.815 !! !! !! !! !! 867.02%
DE X 1000 NAC ST_1_2_NC_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 30.000 48.000 !! !! !! !! !! 160.00%
UV DE X 1000 m3 ST_1_2_NC_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 319.149 58.896 !! !! !! !! !! 18.45%
Q DE M 1000 m3 ST_1_2_NC_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 64.696 24.566 !! !! !! !! !! 37.97%
DE M 1000 NAC ST_1_2_NC_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3906.000 1770.000 !! !! !! !! !! 45.31%
UV DE M 1000 m3 ST_1_2_NC_2_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 60.375 72.051 !! !! !! !! !! 119.34%
Q DE X 1000 m3 ST_1_2_NC_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 59.976 31.716 !! !! !! !! !! 52.88%
DE X 1000 NAC ST_1_2_NC_2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3692.000 1589.000 !! !! !! !! !! 43.04%
UV DE X 1000 m3 ST_1_2_NC_2_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 61.558 50.101 !! !! !! !! !! 81.39%
Q DE M 1000 m3 ST_1_2_NC_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 67.083 31.053 !! !! !! !! !! 46.29%
DE M 1000 NAC ST_1_2_NC_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2586.000 1111.000 !! !! !! !! !! 42.96%
UV DE M 1000 m3 ST_1_2_NC_2_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 38.549 35.778 !! !! !! !! !! 92.81%
Q DE X 1000 m3 ST_1_2_NC_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 24.020 75.979 !! !! !! !! !! 316.32%
DE X 1000 NAC ST_1_2_NC_2_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1526.000 4194.000 !! !! !! !! !! 274.84%
UV DE X 1000 m3 ST_1_2_NC_2_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 63.530 55.199 !! !! !! !! !! 86.89%
Q DE M 1000 m3 ST_1_2_NC_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3546.944 3400.215 !! !! !! !! !! 95.86%
DE M 1000 NAC ST_1_2_NC_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 768601.000 690736.000 !! !! !! !! !! 89.87%
UV DE M 1000 m3 ST_1_2_NC_2_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 216.694 203.145 !! !! !! !! !! 93.75%
Q DE X 1000 m3 ST_1_2_NC_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5539.075 6261.335 !! !! !! !! !! 113.04%
DE X 1000 NAC ST_1_2_NC_2_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1191293.000 1202815.000 !! !! !! !! !! 100.97%
UV DE X 1000 m3 ST_1_2_NC_2_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 215.071 192.102 !! !! !! !! !! 89.32%
Q DE M 1000 m3 ST_1_2_NC_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.873 1.420 !! !! !! !! !! 162.66%
DE M 1000 NAC ST_1_2_NC_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 885.000 1373.000 !! !! !! !! !! 155.14%
UV DE M 1000 m3 ST_1_2_NC_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1013.746 966.901 !! !! !! !! !! 95.38%
Q DE X 1000 m3 ST_1_2_NC_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.041 !! !! !! !! !! !!
DE X 1000 NAC ST_1_2_NC_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.000 51.000 !! !! !! !! !! 5100.00%
UV DE X 1000 m3 ST_1_2_NC_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! 1243.902 !! !! !! !! !! !!
Q DE M 1000 m3 ST_1_2_NC_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1039.640 865.872 !! !! !! !! !! 83.29%
DE M 1000 NAC ST_1_2_NC_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 175723.000 140852.000 !! !! !! !! !! 80.16%
UV DE M 1000 m3 ST_1_2_NC_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 169.023 162.671 !! !! !! !! !! 96.24%
Q DE X 1000 m3 ST_1_2_NC_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1923.957 1697.758 !! !! !! !! !! 88.24%
DE X 1000 NAC ST_1_2_NC_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 396260.000 316575.000 !! !! !! !! !! 79.89%
UV DE X 1000 m3 ST_1_2_NC_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 205.961 186.467 !! !! !! !! !! 90.53%
Q DE M 1000 m3 ST_1_2_NC_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 391.925 410.315 !! !! !! !! !! 104.69%
DE M 1000 NAC ST_1_2_NC_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 236875.000 216211.000 !! !! !! !! !! 91.28%
UV DE M 1000 m3 ST_1_2_NC_5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 604.389 526.939 !! !! !! !! !! 87.19%
Q DE X 1000 m3 ST_1_2_NC_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 779.517 764.351 !! !! !! !! !! 98.05%
DE X 1000 NAC ST_1_2_NC_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 387058.000 382255.000 !! !! !! !! !! 98.76%
UV DE X 1000 m3 ST_1_2_NC_5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 496.536 500.104 !! !! !! !! !! 100.72%
Q DE M 1000 m3 ST_5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 107.728 116.146 !! !! !! !! !! 107.81%
DE M 1000 NAC ST_5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 90462.000 81473.000 !! !! !! !! !! 90.06%
UV DE M 1000 m3 ST_5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 839.727 701.471 !! !! !! !! !! 83.54%
Q DE X 1000 m3 ST_5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 134.497 119.203 !! !! !! !! !! 88.63%
DE X 1000 NAC ST_5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 93780.000 85539.000 !! !! !! !! !! 91.21%
UV DE X 1000 m3 ST_5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 697.264 717.590 !! !! !! !! !! 102.92%
Q DE M 1000 m3 ST_5_C_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 24.381 21.415 !! !! !! !! !! 87.83%
DE M 1000 NAC ST_5_C_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 10457.000 8961.000 !! !! !! !! !! 85.69%
UV DE M 1000 m3 ST_5_C_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 428.900 418.445 !! !! !! !! !! 97.56%
Q DE X 1000 m3 ST_5_C_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 532.865 528.214 !! !! !! !! !! 99.13%
DE X 1000 NAC ST_5_C_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 209415.000 211833.000 !! !! !! !! !! 101.15%
UV DE X 1000 m3 ST_5_C_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 392.998 401.036 !! !! !! !! !! 102.05%
Q DE M 1000 m3 ST_5_C_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.646 3.683 !! !! !! !! !! 101.01%
DE M 1000 NAC ST_5_C_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3189.000 2870.000 !! !! !! !! !! 90.00%
UV DE M 1000 m3 ST_5_C_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 874.657 779.256 !! !! !! !! !! 89.09%
Q DE X 1000 m3 ST_5_C_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.628 3.950 !! !! !! !! !! 150.30%
DE X 1000 NAC ST_5_C_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2179.000 3175.000 !! !! !! !! !! 145.71%
UV DE X 1000 m3 ST_5_C_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 829.148 803.797 !! !! !! !! !! 96.94%
Q DE M 1000 m3 ST_5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.206 0.908 !! !! !! !! !! 75.29%
DE M 1000 NAC ST_5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1056.000 851.000 !! !! !! !! !! 80.59%
UV DE M 1000 m3 ST_5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 875.622 937.225 !! !! !! !! !! 107.04%
Q DE X 1000 m3 ST_5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.491 0.558 !! !! !! !! !! 113.65%
DE X 1000 NAC ST_5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 443.000 433.000 !! !! !! !! !! 97.74%
UV DE X 1000 m3 ST_5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 902.240 775.986 !! !! !! !! !! 86.01%
Q DE M 1000 m3 ST_5_NC_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 12.532 11.445 !! !! !! !! !! 91.33%
DE M 1000 NAC ST_5_NC_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 6297.000 5496.000 !! !! !! !! !! 87.28%
UV DE M 1000 m3 ST_5_NC_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 502.474 480.210 !! !! !! !! !! 95.57%
Q DE X 1000 m3 ST_5_NC_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 32.884 33.133 !! !! !! !! !! 100.76%
DE X 1000 NAC ST_5_NC_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 12524.000 11585.000 !! !! !! !! !! 92.50%
UV DE X 1000 m3 ST_5_NC_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 380.854 349.651 !! !! !! !! !! 91.81%
Q DE M 1000 m3 ST_5_NC_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 19.339 13.963 !! !! !! !! !! 72.20%
DE M 1000 NAC ST_5_NC_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2800.000 2145.000 !! !! !! !! !! 76.61%
UV DE M 1000 m3 ST_5_NC_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 144.785 153.620 !! !! !! !! !! 106.10%
Q DE X 1000 m3 ST_5_NC_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.503 3.557 !! !! !! !! !! 101.54%
DE X 1000 NAC ST_5_NC_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 746.000 789.000 !! !! !! !! !! 105.76%
UV DE X 1000 m3 ST_5_NC_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 212.960 221.816 !! !! !! !! !! 104.16%
Q DE M 1000 m3 ST_5_NC_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 15.825 13.701 !! !! !! !! !! 86.58%
DE M 1000 NAC ST_5_NC_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2212.000 2170.000 !! !! !! !! !! 98.10%
UV DE M 1000 m3 ST_5_NC_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 139.779 158.383 !! !! !! !! !! 113.31%
Q DE X 1000 m3 ST_5_NC_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.316 1.476 !! !! !! !! !! 112.16%
DE X 1000 NAC ST_5_NC_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 283.000 387.000 !! !! !! !! !! 136.75%
UV DE X 1000 m3 ST_5_NC_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 215.046 262.195 !! !! !! !! !! 121.93%
Q DE M 1000 m3 ST_5_NC_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE M 1000 NAC ST_5_NC_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE M 1000 m3 ST_5_NC_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE X 1000 m3 ST_5_NC_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE X 1000 NAC ST_5_NC_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE X 1000 m3 ST_5_NC_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE M 1000 m3 ST_5_NC_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE M 1000 NAC ST_5_NC_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE M 1000 m3 ST_5_NC_5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE X 1000 m3 ST_5_NC_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE X 1000 NAC ST_5_NC_5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE X 1000 m3 ST_5_NC_5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE M 1000 m3 ST_5_NC_6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE M 1000 NAC ST_5_NC_6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE M 1000 m3 ST_5_NC_6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE X 1000 m3 ST_5_NC_6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE X 1000 NAC ST_5_NC_6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE X 1000 m3 ST_5_NC_6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE M 1000 m3 ST_5_NC_7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE M 1000 NAC ST_5_NC_7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE M 1000 m3 ST_5_NC_7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE X 1000 m3 ST_5_NC_7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE X 1000 NAC ST_5_NC_7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE X 1000 m3 ST_5_NC_7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!

TS-EU1

% Min: 80% Max: 120% Notes
EU1 Country Flow Unit Product 2014 2015 2016 2017 2018 2018 2019 14/15 15/16 16/17 17/18 18/18 18/19 2014 2015 2016 2017
Q DE EX_M 1000 m3 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 875.541 724.262 !! !! !! !! !! 82.72%
DE EX_M 1000 NAC 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 84835.000 76498.000 !! !! !! !! !! 90.17%
UV DE EX_M 1000 m3 1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 96.894 105.622 !! !! !! !! !! 109.01%
Q DE EX_X 1000 m3 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1256.554 3963.784 !! !! !! !! !! 315.45%
DE EX_X 1000 NAC 1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 177003.000 408871.000 !! !! !! !! !! 231.00%
UV DE EX_X 1000 m3 1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 140.864 103.152 !! !! !! !! !! 73.23%
Q DE EX_M 1000 m3 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 149.719 124.475 !! !! !! !! !! 83.14%
DE EX_M 1000 NAC 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 16040.000 13954.000 !! !! !! !! !! 87.00%
UV DE EX_M 1000 m3 1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 107.134 112.103 !! !! !! !! !! 104.64%
Q DE EX_X 1000 m3 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.382 2.473 !! !! !! !! !! 73.12%
DE EX_X 1000 NAC 1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1087.000 784.000 !! !! !! !! !! 72.13%
UV DE EX_X 1000 m3 1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 321.407 317.024 !! !! !! !! !! 98.64%
Q DE EX_M 1000 m3 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 14.557 11.158 !! !! !! !! !! 76.65%
DE EX_M 1000 NAC 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1547.000 1091.000 !! !! !! !! !! 70.52%
UV DE EX_M 1000 m3 1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 106.272 97.777 !! !! !! !! !! 92.01%
Q DE EX_X 1000 m3 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.023 0.021 !! !! !! !! !! 91.30%
DE EX_X 1000 NAC 1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 21.000 20.000 !! !! !! !! !! 95.24%
UV DE EX_X 1000 m3 1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 913.043 952.381 !! !! !! !! !! 104.31%
Q DE EX_M 1000 m3 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 135.162 113.317 !! !! !! !! !! 83.84%
DE EX_M 1000 NAC 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 14493.000 12863.000 !! !! !! !! !! 88.75%
UV DE EX_M 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 107.227 113.513 !! !! !! !! !! 105.86%
Q DE EX_X 1000 m3 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.359 2.452 !! !! !! !! !! 73.00%
DE EX_X 1000 NAC 1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1066.000 764.000 !! !! !! !! !! 71.67%
UV DE EX_X 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 317.356 311.582 !! !! !! !! !! 98.18%
Q DE EX_M 1000 m3 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 725.822 599.787 !! !! !! !! !! 82.64%
DE EX_M 1000 NAC 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 68795.000 62544.000 !! !! !! !! !! 90.91%
UV DE EX_M 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 94.782 104.277 !! !! !! !! !! 110.02%
Q DE EX_X 1000 m3 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1253.172 3961.311 !! !! !! !! !! 316.10%
DE EX_X 1000 NAC 1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 175916.000 408087.000 !! !! !! !! !! 231.98%
UV DE EX_X 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 140.377 103.018 !! !! !! !! !! 73.39%
Q DE EX_M 1000 m3 1_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 650.634 548.269 !! !! !! !! !! 84.27%
DE EX_M 1000 NAC 1_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 49166.000 43304.000 !! !! !! !! !! 88.08%
UV DE EX_M 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 75.566 78.983 !! !! !! !! !! 104.52%
Q DE EX_X 1000 m3 1_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 546.886 3292.208 !! !! !! !! !! 601.99%
DE EX_X 1000 NAC 1_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 52065.000 293966.000 !! !! !! !! !! 564.61%
UV DE EX_X 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 95.203 89.291 !! !! !! !! !! 93.79%
Q DE EX_M 1000 mt 2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 75.188 51.518 !! !! !! !! !! 68.52%
DE EX_M 1000 NAC 2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 19629.000 19240.000 !! !! !! !! !! 98.02%
UV DE EX_M 1000 mt 2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 261.066 373.462 !! !! !! !! !! 143.05%
Q DE EX_X 1000 mt 2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 706.286 669.103 !! !! !! !! !! 94.74%
DE EX_X 1000 NAC 2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 123851.000 114121.000 !! !! !! !! !! 92.14%
UV DE EX_X 1000 mt 2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 175.355 170.558 !! !! !! !! !! 97.26%
Q DE EX_M 1000 m3 3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 7.847 9.476 !! !! !! !! !! 120.76%
DE EX_M 1000 NAC 3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4008.000 4636.000 !! !! !! !! !! 115.67%
UV DE EX_M 1000 m3 3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 510.768 489.236 !! !! !! !! !! 95.78%
Q DE EX_X 1000 m3 3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.189 0.344 !! !! !! !! !! 182.01%
DE EX_X 1000 NAC 3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 709.000 865.000 !! !! !! !! !! 122.00%
UV DE EX_X 1000 m3 3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 3751.323 2514.535 !! !! !! !! !! 67.03%
Q DE EX_M 1000 m3 3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 103.798 96.999 !! !! !! !! !! 93.45%
DE EX_M 1000 NAC 3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 48727.000 45087.000 !! !! !! !! !! 92.53%
UV DE EX_M 1000 m3 3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 469.441 464.819 !! !! !! !! !! 99.02%
Q DE EX_X 1000 m3 3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.572 3.662 !! !! !! !! !! 102.52%
DE EX_X 1000 NAC 3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3260.000 3258.000 !! !! !! !! !! 99.94%
UV DE EX_X 1000 m3 3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 912.654 889.678 !! !! !! !! !! 97.48%
Q DE EX_M 1000 m3 3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 30.455 45.452 !! !! !! !! !! 149.24%
DE EX_M 1000 NAC 3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 981.000 1648.000 !! !! !! !! !! 167.99%
UV DE EX_M 1000 m3 3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 32.211 36.258 !! !! !! !! !! 112.56%
Q DE EX_X 1000 m3 3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 328.257 264.052 !! !! !! !! !! 80.44%
DE EX_X 1000 NAC 3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 23778.000 21440.000 !! !! !! !! !! 90.17%
UV DE EX_X 1000 m3 3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 72.437 81.196 !! !! !! !! !! 112.09%
Q DE EX_M 1000 mt 4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 26.715 15.534 !! !! !! !! !! 58.15%
DE EX_M 1000 NAC 4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 819.000 808.000 !! !! !! !! !! 98.66%
UV DE EX_M 1000 mt 4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 30.657 52.015 !! !! !! !! !! 169.67%
Q DE EX_X 1000 mt 4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 220.262 162.441 !! !! !! !! !! 73.75%
DE EX_X 1000 NAC 4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 14107.000 12040.000 !! !! !! !! !! 85.35%
UV DE EX_X 1000 mt 4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 64.046 74.119 !! !! !! !! !! 115.73%
Q DE EX_M 1000 mt 4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3.740 29.918 !! !! !! !! !! 799.95%
DE EX_M 1000 NAC 4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 162.000 840.000 !! !! !! !! !! 518.52%
UV DE EX_M 1000 mt 4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 43.316 28.077 !! !! !! !! !! 64.82%
Q DE EX_X 1000 mt 4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 107.995 101.611 !! !! !! !! !! 94.09%
DE EX_X 1000 NAC 4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 9671.000 9400.000 !! !! !! !! !! 97.20%
UV DE EX_X 1000 mt 4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 89.550 92.510 !! !! !! !! !! 103.30%
Q DE EX_M 1000 mt 4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 159.341 109.090 !! !! !! !! !! 68.46%
DE EX_M 1000 NAC 4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3555.000 2302.000 !! !! !! !! !! 64.75%
UV DE EX_M 1000 mt 4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 22.311 21.102 !! !! !! !! !! 94.58%
Q DE EX_X 1000 mt 4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 24.349 21.378 !! !! !! !! !! 87.80%
DE EX_X 1000 NAC 4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4805.000 4372.000 !! !! !! !! !! 90.99%
UV DE EX_X 1000 mt 4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 197.339 204.509 !! !! !! !! !! 103.63%
Q DE EX_M 1000 m3 5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 190.610 191.879 !! !! !! !! !! 100.67%
DE EX_M 1000 NAC 5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 26511.000 23549.000 !! !! !! !! !! 88.83%
UV DE EX_M 1000 m3 5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 139.085 122.728 !! !! !! !! !! 88.24%
Q DE EX_X 1000 m3 5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 67.372 54.573 !! !! !! !! !! 81.00%
DE EX_X 1000 NAC 5 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 26952.000 23417.000 !! !! !! !! !! 86.88%
UV DE EX_X 1000 m3 5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 400.047 429.095 !! !! !! !! !! 107.26%
Q DE EX_M 1000 m3 5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 48.540 41.985 !! !! !! !! !! 86.50%
DE EX_M 1000 NAC 5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 6592.000 5918.000 !! !! !! !! !! 89.78%
UV DE EX_M 1000 m3 5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 135.806 140.955 !! !! !! !! !! 103.79%
Q DE EX_X 1000 m3 5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 54.593 42.729 !! !! !! !! !! 78.27%
DE EX_X 1000 NAC 5_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 21039.000 17864.000 !! !! !! !! !! 84.91%
UV DE EX_X 1000 m3 5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 385.379 418.077 !! !! !! !! !! 108.48%
Q DE EX_M 1000 m3 5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 142.070 149.894 !! !! !! !! !! 105.51%
DE EX_M 1000 NAC 5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 19919.000 17631.000 !! !! !! !! !! 88.51%
UV DE EX_M 1000 m3 5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 140.206 117.623 !! !! !! !! !! 83.89%
Q DE EX_X 1000 m3 5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 12.779 11.844 !! !! !! !! !! 92.68%
DE EX_X 1000 NAC 5_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5913.000 5553.000 !! !! !! !! !! 93.91%
UV DE EX_X 1000 m3 5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 462.712 468.845 !! !! !! !! !! 101.33%
Q DE EX_M 1000 m3 5_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1941.111 1836.150 !! !! !! !! !! 94.59%
DE EX_M 1000 NAC 5_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 446339.000 411923.000 !! !! !! !! !! 92.29%
UV DE EX_M 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 229.940 224.341 !! !! !! !! !! 97.56%
Q DE EX_X 1000 m3 5_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 3467.463 4098.123 !! !! !! !! !! 118.19%
DE EX_X 1000 NAC 5_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 890584.000 901977.000 !! !! !! !! !! 101.28%
UV DE EX_X 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 256.840 220.095 !! !! !! !! !! 85.69%
Q DE EX_M 1000 m3 6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1760.231 1668.442 !! !! !! !! !! 94.79%
DE EX_M 1000 NAC 6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 324449.000 307595.000 !! !! !! !! !! 94.81%
UV DE EX_M 1000 m3 6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 184.322 184.361 !! !! !! !! !! 100.02%
Q DE EX_X 1000 m3 6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2985.654 3629.608 !! !! !! !! !! 121.57%
DE EX_X 1000 NAC 6 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 675819.000 690904.000 !! !! !! !! !! 102.23%
UV DE EX_X 1000 m3 6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 226.355 190.352 !! !! !! !! !! 84.09%
Q DE EX_M 1000 m3 6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 180.880 167.708 !! !! !! !! !! 92.72%
DE EX_M 1000 NAC 6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 121890.000 104328.000 !! !! !! !! !! 85.59%
UV DE EX_M 1000 m3 6_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 673.872 622.081 !! !! !! !! !! 92.31%
Q DE EX_X 1000 m3 6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 481.809 468.515 !! !! !! !! !! 97.24%
DE EX_X 1000 NAC 6_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 214765.000 211073.000 !! !! !! !! !! 98.28%
UV DE EX_X 1000 m3 6_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 445.747 450.515 !! !! !! !! !! 101.07%
Q DE EX_M 1000 m3 6_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 65.696 66.217 !! !! !! !! !! 100.79%
DE EX_M 1000 NAC 6_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 60411.000 48962.000 !! !! !! !! !! 81.05%
UV DE EX_M 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 919.554 739.417 !! !! !! !! !! 80.41%
Q DE EX_X 1000 m3 6_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 10.042 8.819 !! !! !! !! !! 87.82%
DE EX_X 1000 NAC 6_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 13113.000 11671.000 !! !! !! !! !! 89.00%
UV DE EX_X 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1305.816 1323.393 !! !! !! !! !! 101.35%
Q DE EX_M 1000 m3 6_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 37.966 31.544 !! !! !! !! !! 83.08%
DE EX_M 1000 NAC 6_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 51040.000 45705.000 !! !! !! !! !! 89.55%
UV DE EX_M 1000 m3 6_1_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1344.361 1448.928 !! !! !! !! !! 107.78%
Q DE EX_X 1000 m3 6_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 15.888 15.111 !! !! !! !! !! 95.11%
DE EX_X 1000 NAC 6_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 51764.000 51942.000 !! !! !! !! !! 100.34%
UV DE EX_X 1000 m3 6_1_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 3258.056 3437.364 !! !! !! !! !! 105.50%
Q DE EX_M 1000 m3 6_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4.896 4.145 !! !! !! !! !! 84.66%
DE EX_M 1000 NAC 6_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 7520.000 6507.000 !! !! !! !! !! 86.53%
UV DE EX_M 1000 m3 6_1_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1535.948 1569.843 !! !! !! !! !! 102.21%
Q DE EX_X 1000 m3 6_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.086 0.256 !! !! !! !! !! 297.67%
DE EX_X 1000 NAC 6_1_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 711.000 1147.000 !! !! !! !! !! 161.32%
UV DE EX_X 1000 m3 6_1_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 8267.442 4480.469 !! !! !! !! !! 54.19%
Q DE EX_M 1000 m3 6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 33.070 27.399 !! !! !! !! !! 82.85%
DE EX_M 1000 NAC 6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 43520.000 39198.000 !! !! !! !! !! 90.07%
UV DE EX_M 1000 m3 6_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1315.996 1430.636 !! !! !! !! !! 108.71%
Q DE EX_X 1000 m3 6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 15.802 14.855 !! !! !! !! !! 94.01%
DE EX_X 1000 NAC 6_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 51053.000 50795.000 !! !! !! !! !! 99.49%
UV DE EX_X 1000 m3 6_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 3230.794 3419.387 !! !! !! !! !! 105.84%
Q DE EX_M 1000 m3 6_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 7.918 6.415 !! !! !! !! !! 81.02%
DE EX_M 1000 NAC 6_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 7217.000 5465.000 !! !! !! !! !! 75.72%
UV DE EX_M 1000 m3 6_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 911.468 851.910 !! !! !! !! !! 93.47%
Q DE EX_X 1000 m3 6_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1.248 1.169 !! !! !! !! !! 93.67%
DE EX_X 1000 NAC 6_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4086.000 3923.000 !! !! !! !! !! 96.01%
UV DE EX_X 1000 m3 6_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 3274.038 3355.860 !! !! !! !! !! 102.50%
Q DE EX_M 1000 m3 6_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1233.826 1066.572 !! !! !! !! !! 86.44%
DE EX_M 1000 NAC 6_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 466284.000 408370.000 !! !! !! !! !! 87.58%
UV DE EX_M 1000 m3 6_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 377.917 382.881 !! !! !! !! !! 101.31%
Q DE EX_X 1000 m3 6_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1576.425 1528.327 !! !! !! !! !! 96.95%
DE EX_X 1000 NAC 6_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 777801.000 723496.000 !! !! !! !! !! 93.02%
UV DE EX_X 1000 m3 6_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 493.395 473.391 !! !! !! !! !! 95.95%
Q DE EX_M 1000 m3 6_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 790.090 692.273 !! !! !! !! !! 87.62%
DE EX_M 1000 NAC 6_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 312476.000 262501.000 !! !! !! !! !! 84.01%
UV DE EX_M 1000 m3 6_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 395.494 379.187 !! !! !! !! !! 95.88%
Q DE EX_X 1000 m3 6_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 99.167 95.889 !! !! !! !! !! 96.69%
DE EX_X 1000 NAC 6_2_NC_T 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 79299.000 74895.000 !! !! !! !! !! 94.45%
UV DE EX_X 1000 m3 6_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 799.651 781.059 !! !! !! !! !! 97.68%
Q DE EX_M 1000 m3 6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 340.198 259.852 !! !! !! !! !! 76.38%
DE EX_M 1000 NAC 6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 99323.000 70583.500 !! !! !! !! !! 71.06%
UV DE EX_M 1000 m3 6_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 291.956 271.630 !! !! !! !! !! 93.04%
Q DE EX_X 1000 m3 6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 68.827 69.583 !! !! !! !! !! 101.10%
DE EX_X 1000 NAC 6_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 41386.000 43207.500 !! !! !! !! !! 104.40%
UV DE EX_X 1000 m3 6_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 601.305 620.949 !! !! !! !! !! 103.27%
Q DE EX_M 1000 m3 6_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 449.892 432.421 !! !! !! !! !! 96.12%
DE EX_M 1000 NAC 6_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 213153.000 191917.500 !! !! !! !! !! 90.04%
UV DE EX_M 1000 m3 6_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 473.787 443.821 !! !! !! !! !! 93.68%
Q DE EX_X 1000 m3 6_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 30.340 26.306 !! !! !! !! !! 86.70%
DE EX_X 1000 NAC 6_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 37913.000 31687.500 !! !! !! !! !! 83.58%
UV DE EX_X 1000 m3 6_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1249.604 1204.573 !! !! !! !! !! 96.40%
Q DE EX_M 1000 m3 6_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 45.567 46.634 !! !! !! !! !! 102.34%
DE EX_M 1000 NAC 6_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 29425.000 31446.000 !! !! !! !! !! 106.87%
UV DE EX_M 1000 m3 6_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 645.752 674.315 !! !! !! !! !! 104.42%
Q DE EX_X 1000 m3 6_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2.500 1.684 !! !! !! !! !! 67.36%
DE EX_X 1000 NAC 6_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 5803.000 3150.000 !! !! !! !! !! 54.28%
UV DE EX_X 1000 m3 6_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 2321.200 1870.546 !! !! !! !! !! 80.59%
Q DE EX_M 1000 m3 6_4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 208.254 204.863 !! !! !! !! !! 98.37%
DE EX_M 1000 NAC 6_4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 57046.000 55944.000 !! !! !! !! !! 98.07%
UV DE EX_M 1000 m3 6_4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 273.925 273.080 !! !! !! !! !! 99.69%
Q DE EX_X 1000 m3 6_4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 433.211 450.552 !! !! !! !! !! 104.00%
DE EX_X 1000 NAC 6_4_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 125535.000 123519.000 !! !! !! !! !! 98.39%
UV DE EX_X 1000 m3 6_4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 289.778 274.150 !! !! !! !! !! 94.61%
Q DE EX_M 1000 m3 6_4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 6.821 2.285 !! !! !! !! !! 33.50%
DE EX_M 1000 NAC 6_4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1452.000 495.000 !! !! !! !! !! 34.09%
UV DE EX_M 1000 m3 6_4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 212.872 216.630 !! !! !! !! !! 101.77%
Q DE EX_X 1000 m3 6_4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 180.911 180.519 !! !! !! !! !! 99.78%
DE EX_X 1000 NAC 6_4_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 49564.000 46353.000 !! !! !! !! !! 93.52%
UV DE EX_X 1000 m3 6_4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 273.969 256.776 !! !! !! !! !! 93.72%
Q DE EX_M 1000 m3 6_4_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 235.482 169.436 !! !! !! !! !! 71.95%
DE EX_M 1000 NAC 6_4_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 96762.000 89925.000 !! !! !! !! !! 92.93%
UV DE EX_M 1000 m3 6_4_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 410.910 530.731 !! !! !! !! !! 129.16%
Q DE EX_X 1000 m3 6_4_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1044.047 981.886 !! !! !! !! !! 94.05%
DE EX_X 1000 NAC 6_4_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 572967.000 525082.000 !! !! !! !! !! 91.64%
UV DE EX_X 1000 m3 6_4_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 548.794 534.769 !! !! !! !! !! 97.44%
Q DE EX_M 1000 mt 7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 23.430 16.718 !! !! !! !! !! 71.35%
DE EX_M 1000 NAC 7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 17953.000 14461.000 !! !! !! !! !! 80.55%
UV DE EX_M 1000 mt 7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 766.240 864.996 !! !! !! !! !! 112.89%
Q DE EX_X 1000 mt 7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 593.744 470.696 !! !! !! !! !! 79.28%
DE EX_X 1000 NAC 7 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 370863.000 301675.000 !! !! !! !! !! 81.34%
UV DE EX_X 1000 mt 7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 624.618 640.913 !! !! !! !! !! 102.61%
Q DE EX_M 1000 mt 7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 133.723 108.690 !! !! !! !! !! 81.28%
DE EX_M 1000 NAC 7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 68865.000 69012.000 !! !! !! !! !! 100.21%
UV DE EX_M 1000 mt 7_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 514.982 634.943 !! !! !! !! !! 123.29%
Q DE EX_X 1000 mt 7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 332.587 350.930 !! !! !! !! !! 105.52%
DE EX_X 1000 NAC 7_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 188315.000 205882.000 !! !! !! !! !! 109.33%
UV DE EX_X 1000 mt 7_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 566.213 586.675 !! !! !! !! !! 103.61%
Q DE EX_M 1000 mt 7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 78.329 44.028 !! !! !! !! !! 56.21%
DE EX_M 1000 NAC 7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 9944.000 6452.000 !! !! !! !! !! 64.88%
UV DE EX_M 1000 mt 7_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 126.952 146.543 !! !! !! !! !! 115.43%
Q DE EX_X 1000 mt 7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 117.716 160.260 !! !! !! !! !! 136.14%
DE EX_X 1000 NAC 7_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 13789.000 17525.000 !! !! !! !! !! 127.09%
UV DE EX_X 1000 mt 7_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 117.138 109.354 !! !! !! !! !! 93.35%
Q DE EX_M 1000 mt 7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2068.423 1847.782 !! !! !! !! !! 89.33%
DE EX_M 1000 NAC 7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1375292.841 1197689.594 !! !! !! !! !! 87.09%
UV DE EX_M 1000 mt 7_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 664.899 648.177 !! !! !! !! !! 97.48%
Q DE EX_X 1000 mt 7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 188.969 371.172 !! !! !! !! !! 196.42%
DE EX_X 1000 NAC 7_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 144595.266 224733.622 !! !! !! !! !! 155.42%
UV DE EX_X 1000 mt 7_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 765.178 605.470 !! !! !! !! !! 79.13%
Q DE EX_M 1000 mt 7_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 45.798 35.320 !! !! !! !! !! 77.12%
DE EX_M 1000 NAC 7_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 28887.648 20862.666 !! !! !! !! !! 72.22%
UV DE EX_M 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 630.759 590.680 !! !! !! !! !! 93.65%
Q DE EX_X 1000 mt 7_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 23.123 16.177 !! !! !! !! !! 69.96%
DE EX_X 1000 NAC 7_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 10656.397 7771.929 !! !! !! !! !! 72.93%
UV DE EX_X 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 460.860 480.430 !! !! !! !! !! 104.25%
Q DE EX_M 1000 mt 7_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1897.864 1717.115 !! !! !! !! !! 90.48%
DE EX_M 1000 NAC 7_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1202653.000 1060652.006 !! !! !! !! !! 88.19%
UV DE EX_M 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 633.688 617.694 !! !! !! !! !! 97.48%
Q DE EX_X 1000 mt 7_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 165.992 352.626 !! !! !! !! !! 212.44%
DE EX_X 1000 NAC 7_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 133902.000 215354.563 !! !! !! !! !! 160.83%
UV DE EX_X 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 806.675 610.716 !! !! !! !! !! 75.71%
Q DE EX_M 1000 mt 7_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1870.623 1689.877 !! !! !! !! !! 90.34%
DE EX_M 1000 NAC 7_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1171663.000 1031085.827 !! !! !! !! !! 88.00%
UV DE EX_M 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 626.349 610.154 !! !! !! !! !! 97.41%
Q DE EX_X 1000 mt 7_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 137.214 323.994 !! !! !! !! !! 236.12%
DE EX_X 1000 NAC 7_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 91773.000 170364.444 !! !! !! !! !! 185.64%
UV DE EX_X 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 668.831 525.826 !! !! !! !! !! 78.62%
Q DE EX_M 1000 mt 7_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1855.552 1673.782 !! !! !! !! !! 90.20%
DE EX_M 1000 NAC 7_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1160345.000 1021863.264 !! !! !! !! !! 88.07%
UV DE EX_M 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 625.337 610.512 !! !! !! !! !! 97.63%
Q DE EX_X 1000 mt 7_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 135.488 321.103 !! !! !! !! !! 237.00%
DE EX_X 1000 NAC 7_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 90640.000 168650.570 !! !! !! !! !! 186.07%
UV DE EX_X 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 668.990 525.223 !! !! !! !! !! 78.51%
Q DE EX_M 1000 mt 7_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 27.739 27.335 !! !! !! !! !! 98.55%
DE EX_M 1000 NAC 7_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 30990.000 29692.997 !! !! !! !! !! 95.81%
UV DE EX_M 1000 mt 7_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1117.213 1086.253 !! !! !! !! !! 97.23%
Q DE EX_X 1000 mt 7_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 28.272 28.624 !! !! !! !! !! 101.25%
DE EX_X 1000 NAC 7_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 42129.000 45014.688 !! !! !! !! !! 106.85%
UV DE EX_X 1000 mt 7_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1490.149 1572.620 !! !! !! !! !! 105.53%
Q DE EX_M 1000 mt 8 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 125.836 92.692 !! !! !! !! !! 73.66%
DE EX_M 1000 NAC 8 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 139485.000 107819.668 !! !! !! !! !! 77.30%
UV DE EX_M 1000 mt 8 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1108.469 1163.202 !! !! !! !! !! 104.94%
Q DE EX_X 1000 mt 8 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.029 2.342 !! !! !! !! !! 8106.51%
DE EX_X 1000 NAC 8 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 40.000 1540.320 !! !! !! !! !! 3850.80%
UV DE EX_X 1000 mt 8 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1384.410 657.631 !! !! !! !! !! 47.50%
Q DE EX_M 1000 mt 8_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 84.740 99.748 !! !! !! !! !! 117.71%
DE EX_M 1000 NAC 8_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 19730.867 20035.339 !! !! !! !! !! 101.54%
UV DE EX_M 1000 mt 8_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 232.841 200.860 !! !! !! !! !! 86.26%
Q DE EX_X 1000 mt 8_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 62.630 51.282 !! !! !! !! !! 81.88%
DE EX_X 1000 NAC 8_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 30878.049 26705.645 !! !! !! !! !! 86.49%
UV DE EX_X 1000 mt 8_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 493.025 520.759 !! !! !! !! !! 105.63%
Q DE EX_M 1000 mt 8_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8.012 6.463 !! !! !! !! !! 80.67%
DE EX_M 1000 NAC 8_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 15458.646 13083.217 !! !! !! !! !! 84.63%
UV DE EX_M 1000 mt 8_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1929.345 2024.196 !! !! !! !! !! 104.92%
Q DE EX_X 1000 mt 8_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 0.475 0.522 !! !! !! !! !! 109.89%
DE EX_X 1000 NAC 8_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 472.052 617.515 !! !! !! !! !! 130.82%
UV DE EX_X 1000 mt 8_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 993.570 1182.756 !! !! !! !! !! 119.04%
Q DE EX_M 1000 mt 9 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 86.971 104.556 !! !! !! !! !! 120.22%
DE EX_M 1000 NAC 9 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2653.000 3315.138 !! !! !! !! !! 124.96%
UV DE EX_M 1000 mt 9 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 30.504 31.707 !! !! !! !! !! 103.94%
Q DE EX_X 1000 mt 9 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 61.262 47.368 !! !! !! !! !! 77.32%
DE EX_X 1000 NAC 9 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 30900.000 24920.185 !! !! !! !! !! 80.65%
UV DE EX_X 1000 mt 9 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 504.390 526.099 !! !! !! !! !! 104.30%
Q DE EX_M 1000 mt 10 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 435.270 414.623 !! !! !! !! !! 95.26%
DE EX_M 1000 NAC 10 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 59862.000 54238.055 !! !! !! !! !! 90.61%
UV DE EX_M 1000 mt 10 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 137.528 130.813 !! !! !! !! !! 95.12%
Q DE EX_X 1000 mt 10 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 637.606 548.600 !! !! !! !! !! 86.04%
DE EX_X 1000 NAC 10 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 78708.000 57071.137 !! !! !! !! !! 72.51%
UV DE EX_X 1000 mt 10 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 123.443 104.031 !! !! !! !! !! 84.27%
Q DE EX_M 1000 mt 10_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1200.214 1117.799 !! !! !! !! !! 93.13%
DE EX_M 1000 NAC 10_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 957649.198 956388.607 !! !! !! !! !! 99.87%
UV DE EX_M 1000 mt 10_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 797.899 855.600 !! !! !! !! !! 107.23%
Q DE EX_X 1000 mt 10_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2862.426 2882.823 !! !! !! !! !! 100.71%
DE EX_X 1000 NAC 10_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 2541911.515 2519097.795 !! !! !! !! !! 99.10%
UV DE EX_X 1000 mt 10_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 888.027 873.830 !! !! !! !! !! 98.40%
Q DE EX_M 1000 mt 10_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 570.416 511.152 !! !! !! !! !! 89.61%
DE EX_M 1000 NAC 10_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 430795.198 428467.204 !! !! !! !! !! 99.46%
UV DE EX_M 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 755.230 838.239 !! !! !! !! !! 110.99%
Q DE EX_X 1000 mt 10_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1192.896 1126.623 !! !! !! !! !! 94.44%
DE EX_X 1000 NAC 10_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1047175.494 1054395.602 !! !! !! !! !! 100.69%
UV DE EX_X 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 877.843 935.890 !! !! !! !! !! 106.61%
Q DE EX_M 1000 mt 10_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 90.308 82.174 !! !! !! !! !! 90.99%
DE EX_M 1000 NAC 10_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 47257.064 48850.512 !! !! !! !! !! 103.37%
UV DE EX_M 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 523.286 594.473 !! !! !! !! !! 113.60%
Q DE EX_X 1000 mt 10_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 97.093 94.626 !! !! !! !! !! 97.46%
DE EX_X 1000 NAC 10_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 53337.644 56468.912 !! !! !! !! !! 105.87%
UV DE EX_X 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 549.347 596.756 !! !! !! !! !! 108.63%
Q DE EX_M 1000 mt 10_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 74.059 60.893 !! !! !! !! !! 82.22%
DE EX_M 1000 NAC 10_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 51681.368 47914.264 !! !! !! !! !! 92.71%
UV DE EX_M 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 697.842 786.858 !! !! !! !! !! 112.76%
Q DE EX_X 1000 mt 10_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 213.628 197.518 !! !! !! !! !! 92.46%
DE EX_X 1000 NAC 10_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 130614.273 130689.311 !! !! !! !! !! 100.06%
UV DE EX_X 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 611.411 661.657 !! !! !! !! !! 108.22%
Q DE EX_M 1000 mt 10_1_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 146.447 133.555 !! !! !! !! !! 91.20%
DE EX_M 1000 NAC 10_1_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 131739.245 134009.604 !! !! !! !! !! 101.72%
UV DE EX_M 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 899.570 1003.405 !! !! !! !! !! 111.54%
Q DE EX_X 1000 mt 10_1_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 208.047 203.038 !! !! !! !! !! 97.59%
DE EX_X 1000 NAC 10_1_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 256457.559 272690.710 !! !! !! !! !! 106.33%
UV DE EX_X 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1232.689 1343.051 !! !! !! !! !! 108.95%
Q DE EX_M 1000 mt 10_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 259.602 234.530 !! !! !! !! !! 90.34%
DE EX_M 1000 NAC 10_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 200117.521 197692.823 !! !! !! !! !! 98.79%
UV DE EX_M 1000 mt 10_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 770.863 842.933 !! !! !! !! !! 109.35%
Q DE EX_X 1000 mt 10_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 674.128 631.440 !! !! !! !! !! 93.67%
DE EX_X 1000 NAC 10_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 606766.017 594546.668 !! !! !! !! !! 97.99%
UV DE EX_X 1000 mt 10_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 900.075 941.573 !! !! !! !! !! 104.61%
Q DE EX_M 1000 mt 10_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 22.392 21.657 !! !! !! !! !! 96.72%
DE EX_M 1000 NAC 10_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 31507.823 33258.980 !! !! !! !! !! 105.56%
UV DE EX_M 1000 mt 10_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1407.089 1535.718 !! !! !! !! !! 109.14%
Q DE EX_X 1000 mt 10_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 27.783 25.620 !! !! !! !! !! 92.21%
DE EX_X 1000 NAC 10_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 50737.777 49379.789 !! !! !! !! !! 97.32%
UV DE EX_X 1000 mt 10_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1826.189 1927.370 !! !! !! !! !! 105.54%
Q DE EX_M 1000 mt 10_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 597.116 575.384 !! !! !! !! !! 96.36%
DE EX_M 1000 NAC 10_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 470279.286 466814.914 !! !! !! !! !! 99.26%
UV DE EX_M 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 787.585 811.311 !! !! !! !! !! 103.01%
Q DE EX_X 1000 mt 10_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1621.528 1710.993 !! !! !! !! !! 105.52%
DE EX_X 1000 NAC 10_3_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 1377094.404 1342250.129 !! !! !! !! !! 97.47%
UV DE EX_X 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 849.257 784.486 !! !! !! !! !! 92.37%
Q DE EX_M 1000 mt 10_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 304.940 290.744 !! !! !! !! !! 95.34%
DE EX_M 1000 NAC 10_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 169536.017 150103.120 !! !! !! !! !! 88.54%
UV DE EX_M 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 555.965 516.272 !! !! !! !! !! 92.86%
Q DE EX_X 1000 mt 10_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 943.949 1017.873 !! !! !! !! !! 107.83%
DE EX_X 1000 NAC 10_3_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 544422.096 492867.480 !! !! !! !! !! 90.53%
UV DE EX_X 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 576.749 484.213 !! !! !! !! !! 83.96%
Q DE EX_M 1000 mt 10_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 157.917 157.899 !! !! !! !! !! 99.99%
DE EX_M 1000 NAC 10_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 170040.599 183859.015 !! !! !! !! !! 108.13%
UV DE EX_M 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1076.775 1164.409 !! !! !! !! !! 108.14%
Q DE EX_X 1000 mt 10_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 415.329 426.965 !! !! !! !! !! 102.80%
DE EX_X 1000 NAC 10_3_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 541434.091 555215.642 !! !! !! !! !! 102.55%
UV DE EX_X 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1303.626 1300.376 !! !! !! !! !! 99.75%
Q DE EX_M 1000 mt 10_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 112.911 106.709 !! !! !! !! !! 94.51%
DE EX_M 1000 NAC 10_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 119461.304 122073.509 !! !! !! !! !! 102.19%
UV DE EX_M 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1058.015 1143.988 !! !! !! !! !! 108.13%
Q DE EX_X 1000 mt 10_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 205.945 210.936 !! !! !! !! !! 102.42%
DE EX_X 1000 NAC 10_3_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 256620.228 259671.082 !! !! !! !! !! 101.19%
UV DE EX_X 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 1246.061 1231.039 !! !! !! !! !! 98.79%
Q DE EX_M 1000 mt 10_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 21.348 20.032 !! !! !! !! !! 93.83%
DE EX_M 1000 NAC 10_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 11241.366 10779.270 !! !! !! !! !! 95.89%
UV DE EX_M 1000 mt 10_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 526.571 538.105 !! !! !! !! !! 102.19%
Q DE EX_X 1000 mt 10_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 56.304 55.218 !! !! !! !! !! 98.07%
DE EX_X 1000 NAC 10_4 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 34617.988 34495.925 !! !! !! !! !! 99.65%
UV DE EX_X 1000 mt 10_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#N/A 614.836 624.722 !! !! !! !! !! 101.61%

TS-EU2

% Min: 80% Max: 120% Notes
EU2 Country Flow Unit Product 2014 2015 2016 2017 2018 2018 2019 14/15 15/16 16/17 17/18 18/18 18/19 2014 2015 2016 2017
DE P 1000 m3 EU2_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 75232.6568754761 76167.4288895653 !! !! !! !! !! 101.24%
DE P 1000 m3 EU2_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 55243.0947717068 56052.8592513275 !! !! !! !! !! 101.47%
DE P 1000 m3 EU2_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 19989.5621037693 20114.5696382378 !! !! !! !! !! 100.63%
DE P 1000 m3 EU2_1_1 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 22384.2241300859 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_1_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 16171.6143912385 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_1_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 6212.6097388474 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_2 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 13875.7914727095 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_2_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 9007.7706729303 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_2_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 4868.0207997792 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_3 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 38972.6412726807 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_3_C 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 30063.7097075381 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_3_NC 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A 8908.9315651426 0 !! !! !! !! !! 0.00%

JQ2_EU1-Cross-Ref

FOREST SECTOR QUESTIONNAIRE JQ2 (Supp. 1)
PRIMARY PRODUCTS
Trade
CORRESPONDENCES to HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2017 HS2012 SITC Rev.4
1 ROUNDWOOD (WOOD IN THE ROUGH) 4401.11/12 44.03 4401.10 44.03 245.01 247
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 4401.11/12 4401.10 245.01
1.1.C Coniferous 4401.11 ex4401.10 ex245.01
1.1.NC Non-Coniferous 4401.12 ex4401.10 ex245.01
1.2 INDUSTRIAL ROUNDWOOD 44.03 44.03 247
1.2.C Coniferous 4403.11/21/22/23/24/25/26 ex4403.10 4403.20 ex247.3 247.4
1.2.NC Non-Coniferous 4403.12/41/49/91/93/94/95/96/97/98/99 ex4403.10 4403.41/49/91/92/99 ex247.3 247.5 247.9
1.2.NC.T of which: Tropical ex4403.12 4403.41/49 ex4403.10 4403.41/49 ex4403.99 ex247.3 247.5 ex247.9
2 WOOD CHARCOAL 4402.90 4402.90 ex245.02
3 WOOD CHIPS, PARTICLES AND RESIDUES 4401.21/22 4401.40 4401.21/22 ex4401.39 246.1 ex246.2
3.1 WOOD CHIPS AND PARTICLES 4401.21/22 4401.21/22 246.1
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) ex4401.40 ex4401.39 ex246.2
4 RECOVERED POST-CONSUMER WOOD ex4401.40 ex4401.39 ex246.2
5 WOOD PELLETS AND OTHER AGGLOMERATES 4401.31/39 4401.31 ex4401.39 ex246.2
5.1 WOOD PELLETS 4401.31 4401.31 ex246.2
5.2 OTHER AGGLOMERATES 4401.39 ex4401.39 ex246.2
6 SAWNWOOD (INCLUDING SLEEPERS) 44.06 44.07 44.06 44.07 248.1 248.2 248.4
6.C Coniferous 4406.11/91 4407.11/12/19 ex4406.10/90 4407.10 ex248.11 ex248.19 248.2
6.NC Non-Coniferous 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 ex4406.10/90 4407.21/22/25/26/27/28/29/91/92/93/94/95/99 ex248.11 ex248.19 248.4
6.NC.T of which: Tropical ex4406.12/92 4407.21/22/25/26/27/28/29 ex4406.10/90 4407.21/22/25/26/27/28/29 ex4407.99 ex248.11 ex248.19 ex248.4
7 VENEER SHEETS 44.08 44.08 634.1
7.C Coniferous 4408.10 4408.10 634.11
7.NC Non-Coniferous 4408.31/39/90 4408.31/39/90 634.12
7.NC.T of which: Tropical 4408.31/39 4408.31/39 ex4408.90 ex634.12
8 WOOD-BASED PANELS 44.10 44.11 4412.31/33/34/39/94/99 44.10 44.11 4412.31/32/39/94/99 634.22/23/31/33/39 634.5
8.1 PLYWOOD 4412.31/33/34/39/94/99 4412.31/32/39/94/99 634.31/33/39
8.1.C Coniferous 4412.39 ex4412.94 ex4412.99 4412.39 ex4412.94 ex.4412.99 ex634.31 ex634.33 ex634.39
8.1.NC Non-Coniferous 4412.31/33/34 ex4412.94 ex4412.99 4412.31/32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.1.NC.T of which: Tropical 4412.31 ex4412.94 ex4412.99 4412.31 ex4412.32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) and SIMILAR BOARD 44.10 44.10 634.22/23
8.2.1 of which: ORIENTED STRANDBOARD (OSB) 4410.12 4410.12 ex634.22
8.3 FIBREBOARD 44.11 44.11 634.5
8.3.1 HARDBOARD 4411.92 4411.92 ex634.54 ex634.55
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 4411.12/13 ex4411.14* 4411.12/13 ex4411.14* ex634.54 ex634.55
8.3.3 OTHER FIBREBOARD ex4411.14 4411.93/94 ex4411.14 4411.93/94 ex634.54 ex634.55
9 WOOD PULP 47.01/02/03/04/05 47.01/02/03/04/05 251.2 251.3 251.4 251.5 251.6 251.91
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 47.01 47.05 47.01 47.05 251.2 251.91
9.2 CHEMICAL WOOD PULP 47.03 47.04 47.03 47.04 251.4 251.5 251.6
9.2.1 SULPHATE PULP 47.03 47.03 251.4 251.5
9.2.1.1 of which: BLEACHED 4703.21/29 4703.21/29 251.5
9.2.2 SULPHITE PULP 47.04 47.04 251.6
9.3 DISSOLVING GRADES 47.02 47.02 251.3
10 OTHER PULP 47.06 47.06 251.92
10.1 PULP FROM FIBRES OTHER THAN WOOD 4706.10/30/91/92/93 4706.10/30/91/92/93 ex251.92
10.2 RECOVERED FIBRE PULP 4706.20 4706.20 ex251.92
11 RECOVERED PAPER 47.07 47.07 251.1
12 PAPER AND PAPERBOARD 48.01 48.02 48.03 48.04 48.05 48.06 48.08 48.09 48.10 4811.51/59 48.12 48.13 48.01 48.02 48.03 48.04 48.05 48.06 48.08 48.09 48.10 4811.51/59 48.12 48.13 641.1 641.2 641.3 641.4 641.5 641.62/63/64/69/71/72/74/75/76/77/93 642.41
12.1 GRAPHIC PAPERS 48.01 4802.10/20/54/55/56/57/58/61/62/69 48.09 4810.13/14/19/22/29 48.01 4802.10/20/54/55/56/57/58/61/62/69 48.09 4810.13/14/19/22/29 641.1 641.21/22/26/29 641.3
12.1.1 NEWSPRINT 48.01 48.01 641.1
12.1.2 UNCOATED MECHANICAL 4802.61/62/69 4802.61/62/69 641.29
12.1.3 UNCOATED WOODFREE 4802.10/20/54/55/56/57/58 4802.10/20/54/55/56/57/58 641.21/22/26
12.1.4 COATED PAPERS 48.09 4810.13/14/19/22/29 48.09 4810.13/14/19/22/29 641.3
12.2 HOUSEHOLD AND SANITARY PAPERS 48.03 48.03 641.63
12.3 PACKAGING MATERIALS 4804.11/19/21/29/31/39/42/49/51/52/59 4805.11/12/19/24/25/30/91/92/93 4806.10/20/40 48.08 4810.31/32/39/92/99 4811.51/59 4804.11/19/21/29/31/39/42/49/51/52/59 4805.11/12/19/24/25/30/91/92/93 4806.10/20/40 48.08 4810.31/32/39/92/99 4811.51/59 641.41/42/46 ex641.47 641.48/51/52 ex641.53 641.54/59/62/64/69/71/72/74/75/76/77
12.3.1 CASE MATERIALS 4804.11/19 4805.11/12/19/24/25/91 4804.11/19 4805.11/12/19/24/25/91 641.41/51/54 ex641.59
12.3.2 CARTONBOARD 4804.42/49/51/52/59 4805.92 4810.32/39/92 4811.51/59 4804.42/49/51/52/59 4805.92 4810.32/39/92 4811.51/59 ex641.47 641.48 ex641.59 641.75/76 ex641.77 641.71/72
12.3.3 WRAPPING PAPERS 4804.21/29/31/39 4805.30 4806.10/20/40 48.08 4810.31/99 4804.21/29/31/39 4805.30 4806.10/20/40 48.08 4810.31/99 641.42/46/52 ex641.53 641.62/64/69/74 ex641.77
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 4805.93 4805.93 ex641.59
12.4 OTHER PAPER AND PAPERBOARD N.E.S. 4802.40 4804.41 4805.40/50 4806.30 48.12 48.13 4802.40 4804.41 4805.40/50 4806.30 48.12 48.13 641.24 ex641.47 641.56 ex641.53 641.55/93 642.41
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017 or SITC Rev.4 code is applicable.
For instance "ex4401.40" under product 3.2 means that only a part of HS2017 code 4401.40 refers to wood residues coming from wood processing (the other part coded under 4401.40 is recovered post-consumer wood).
In SITC Rev.4, if only 4 digits are shown, then all sub-headings at lower degrees of aggregation are included (for example, 634.1 includes 634.11 and 634.12).
* - Please assign the trade data for HS code 4411.14 to product 8.3.2 (MDF/HDF) and 8.3.3 (other fibreboard) if it is possible to do this in national statistics. If not, please assign all the trade data to item 8.3.2 as in most cases MDF/HDF will represent the large majority of trade.

JQ3-Cross-Ref

FOREST SECTOR QUESTIONNAIRE JQ3 (Supp. 1)
SECONDARY PROCESSED PRODUCTS
Trade
CORRESPONDENCES to HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2017 HS2012 SITC Rev.4
13 SECONDARY WOOD PRODUCTS
13.1 FURTHER PROCESSED SAWNWOOD 4409.10/22/29 4409.10/29 248.3 248.5
13.1.C Coniferous 4409.10 4409.10 248.3
13.1.NC Non-coniferous 4409.22/29 4409.29 248.5
13.1.NC.T of which: Tropical 4409.22 ex4409.29 ex248.5
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 44.15/16 44.15/16 635.1 635.2
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 44.14 4419.90 44.20 44.14 ex4419.00 44.20 635.41 ex635.42 635.49
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD 4418.10/20/40/50/60/74/75/79/99 4418.10/20/40/50/60 ex4418.71 ex4418.72 ex4418.79 ex4418.90 635.31/32/33 ex635.34 ex635.39
13.5 WOODEN FURNITURE 9401.61/69 ex9401.90 9403.30/40/50/60 ex9403.90 9401.61/69 ex9401.90 9403.30/40/50/60 ex9403.90 821.16 ex821.19 821.51/53/55/59 ex821.8
13.6 PREFABRICATED BUILDINGS OF WOOD 9406.10 ex94.06 ex811.0
13.7 OTHER MANUFACTURED WOOD PRODUCTS 44.04/05/13/17 4421.10/99 44.04/05/13/17 4421.10 ex4421.90 634.21/91/93 635.91 ex635.99
14 SECONDARY PAPER PRODUCTS
14.1 COMPOSITE PAPER AND PAPERBOARD 48.07 48.07 641.92
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 4811.10/41/49/60/90 4811.10/41/49/60/90 641.73/78/79
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 48.18 48.18 642.43/94
14.4 PACKAGING CARTONS, BOXES ETC. 48.19 48.19 642.1
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 48.14/16/17/20/21/22/23 48.14/16/17/20/21/22/23 641.94 642.2 642.3 642.42/45/91/93/99 892.81
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE ex4823.90 ex4823.90 ex642.99
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 4823.70 4823.70 ex642.99
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 4823.20 4823.20 642.45
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017 or SITC Rev.4 code is applicable.
For instance "ex811.00" under "Prefabricated buildings of wood" means that only a part of SITC code 811.00 refers to buildings prefabricated from wood, as that code does not distinguish between the materials buildings were prefabricated from.
In SITC Rev.4, if only 4 digits are shown, then all subheadings at lower degrees of aggregation are included (for example, 892.2 includes 892.21 and 892.29).

&F &D

SentData

Country Flow Year Unit Product Conc Data value
DE P 2018 1000 m3 1 DE_P_2018_1000 m3_1 75232.6568754761 JQ1
DE P 2018 1000 m3 1_C DE_P_2018_1000 m3_1_C 22358.9794108237
DE P 2018 1000 m3 1_NC DE_P_2018_1000 m3_1_NC 9118.487538082
DE P 2018 1000 m3 1_1 DE_P_2018_1000 m3_1_1 13240.4918727417
DE P 2018 1000 m3 1_1_C DE_P_2018_1000 m3_1_1_C 52873.6774646524
DE P 2018 1000 m3 1_1_NC DE_P_2018_1000 m3_1_1_NC 46124.6072336248
DE P 2018 1000 m3 1_2 DE_P_2018_1000 m3_1_2 6749.0702310276
DE P 2018 1000 m3 1_2_C DE_P_2018_1000 m3_1_2_C 0
DE P 2018 1000 m3 1_2_NC DE_P_2018_1000 m3_1_2_NC 41625.8777794274
DE P 2018 1000 m3 1_2_1 DE_P_2018_1000 m3_1_2_1 38098.9565939257
DE P 2018 1000 m3 1_2_1_C DE_P_2018_1000 m3_1_2_1_C 3526.9211855017
DE P 2018 1000 m3 1_2_1_NC DE_P_2018_1000 m3_1_2_1_NC 11173.758685225
DE P 2018 1000 m3 1_2_2 DE_P_2018_1000 m3_1_2_2 7952.0517758114
DE P 2018 1000 m3 1_2_2_C DE_P_2018_1000 m3_1_2_2_C 3221.7069094136
DE P 2018 1000 m3 1_2_2_NC DE_P_2018_1000 m3_1_2_2_NC 74.041
DE P 2018 1000 m3 1_2_3 DE_P_2018_1000 m3_1_2_3 73.5988638877
DE P 2018 1000 m3 1_2_3_C DE_P_2018_1000 m3_1_2_3_C 0.4421361123
DE P 2018 1000 m3 1_2_3_NC DE_P_2018_1000 m3_1_2_3_NC 0
DE P 2018 1000 mt 2 DE_P_2018_1000 mt_2 14941.3361586097
DE P 2018 1000 m3 3 DE_P_2018_1000 m3_3 10613.4529586097
DE P 2018 1000 m3 3_1 DE_P_2018_1000 m3_3_1 4327.8832
DE P 2018 1000 m3 3_2 DE_P_2018_1000 m3_3_2 6601
DE P 2018 1000 mt 4 DE_P_2018_1000 mt_4 2704.927
DE P 2018 1000 mt 4_1 DE_P_2018_1000 mt_4_1 2415
DE P 2018 1000 mt 4_2 DE_P_2018_1000 mt_4_2 289.927
DE P 2018 1000 m3 5 DE_P_2018_1000 m3_5 23769.455948
DE P 2018 1000 m3 5_C DE_P_2018_1000 m3_5_C 22609.724
DE P 2018 1000 m3 5_NC DE_P_2018_1000 m3_5_NC 1159.731948
DE P 2018 1000 m3 5_NC_T DE_P_2018_1000 m3_5_NC_T 0.96564
DE P 2018 1000 m3 6 DE_P_2018_1000 m3_6 88.247
DE P 2018 1000 m3 6_1 DE_P_2018_1000 m3_6_1 12.35458
DE P 2018 1000 m3 6_1_C DE_P_2018_1000 m3_6_1_C 75.89242
DE P 2018 1000 m3 6_1_NC DE_P_2018_1000 m3_6_1_NC 0.851125
DE P 2018 1000 m3 6_1_NC_T DE_P_2018_1000 m3_6_1_NC_T 12780.012826087
DE P 2018 1000 m3 6_2 DE_P_2018_1000 m3_6_2 117.786
DE P 2018 1000 m3 6_2_C DE_P_2018_1000 m3_6_2_C 34.713
DE P 2018 1000 m3 6_2_NC DE_P_2018_1000 m3_6_2_NC 83.073
DE P 2018 1000 m3 6_2_NC_T DE_P_2018_1000 m3_6_2_NC_T 0.165
DE P 2018 1000 m3 6_3 DE_P_2018_1000 m3_6_3 6987.62
DE P 2018 1000 m3 6_3_1 DE_P_2018_1000 m3_6_3_1 1230.209
DE P 2018 1000 m3 6_4 DE_P_2018_1000 m3_6_4 5674.606826087
DE P 2018 1000 m3 6_4_1 DE_P_2018_1000 m3_6_4_1 0
DE P 2018 1000 m3 6_4_2 DE_P_2018_1000 m3_6_4_2 3803.101
DE P 2018 1000 m3 6_4_3 DE_P_2018_1000 m3_6_4_3 1871.505826087
DE P 2018 1000 mt 7 DE_P_2018_1000 mt_7 2459
DE P 2018 1000 mt 7_1 DE_P_2018_1000 mt_7_1 813
DE P 2018 1000 mt 7_2 DE_P_2018_1000 mt_7_2 1646
DE P 2018 1000 mt 7_3 DE_P_2018_1000 mt_7_3 1050
DE P 2018 1000 mt 7_3_1 DE_P_2018_1000 mt_7_3_1 0
DE P 2018 1000 mt 7_3_2 DE_P_2018_1000 mt_7_3_2 596
DE P 2018 1000 mt 7_3_3 DE_P_2018_1000 mt_7_3_3 0
DE P 2018 1000 mt 7_3_4 DE_P_2018_1000 mt_7_3_4 14463.384
DE P 2018 1000 mt 7_4 DE_P_2018_1000 mt_7_4 84.384
DE P 2018 1000 mt 8 DE_P_2018_1000 mt_8 14379
DE P 2018 1000 mt 8_1 DE_P_2018_1000 mt_8_1 17200
DE P 2018 1000 mt 8_2 DE_P_2018_1000 mt_8_2 22681.549
DE P 2018 1000 mt 9 DE_P_2018_1000 mt_9 7933.919
DE P 2018 1000 mt 10 DE_P_2018_1000 mt_10 1210.115
DE P 2018 1000 mt 10_1 DE_P_2018_1000 mt_10_1 2045.535
DE P 2018 1000 mt 10_1_1 DE_P_2018_1000 mt_10_1_1 1635.755
DE P 2018 1000 mt 10_1_2 DE_P_2018_1000 mt_10_1_2 3042.514
DE P 2018 1000 mt 10_1_3 DE_P_2018_1000 mt_10_1_3 1508.083
DE P 2018 1000 mt 10_1_4 DE_P_2018_1000 mt_10_1_4 11838.96
DE P 2018 1000 mt 10_2 DE_P_2018_1000 mt_10_2 8575.947
DE P 2018 1000 mt 10_3 DE_P_2018_1000 mt_10_3 1765.456
DE P 2018 1000 mt 10_3_1 DE_P_2018_1000 mt_10_3_1 424.769
DE P 2018 1000 mt 10_3_2 DE_P_2018_1000 mt_10_3_2 1072.788
DE P 2018 1000 mt 10_3_3 DE_P_2018_1000 mt_10_3_3 1400.587
DE P 2018 1000 mt 10_3_4 DE_P_2018_1000 mt_10_3_4 0
DE P 2018 1000 mt 10_4 DE_P_2018_1000 mt_10_4 0
DE P 2019 1000 m3 1 DE_P_2019_1000 m3_1 76167.4288895653
DE P 2019 1000 m3 1_C DE_P_2019_1000 m3_1_C 22742.4813901422
DE P 2019 1000 m3 1_NC DE_P_2019_1000 m3_1_NC 9217.7745495303
DE P 2019 1000 m3 1_1 DE_P_2019_1000 m3_1_1 13524.7068406119
DE P 2019 1000 m3 1_1_C DE_P_2019_1000 m3_1_1_C 53424.9474994231
DE P 2019 1000 m3 1_1_NC DE_P_2019_1000 m3_1_1_NC 46835.0847017972
DE P 2019 1000 m3 1_2 DE_P_2019_1000 m3_1_2 6589.8627976259
DE P 2019 1000 m3 1_2_C DE_P_2019_1000 m3_1_2_C 0
DE P 2019 1000 m3 1_2_NC DE_P_2019_1000 m3_1_2_NC 40713.1054173799
DE P 2019 1000 m3 1_2_1 DE_P_2019_1000 m3_1_2_1 37426.0759036543
DE P 2019 1000 m3 1_2_1_C DE_P_2019_1000 m3_1_2_1_C 3287.0295137256
DE P 2019 1000 m3 1_2_1_NC DE_P_2019_1000 m3_1_2_1_NC 12640.0460820433
DE P 2019 1000 m3 1_2_2 DE_P_2019_1000 m3_1_2_2 9337.6662616543
DE P 2019 1000 m3 1_2_2_C DE_P_2019_1000 m3_1_2_2_C 3302.379820389
DE P 2019 1000 m3 1_2_2_NC DE_P_2019_1000 m3_1_2_2_NC 71.796
DE P 2019 1000 m3 1_2_3 DE_P_2019_1000 m3_1_2_3 71.3425364887
DE P 2019 1000 m3 1_2_3_C DE_P_2019_1000 m3_1_2_3_C 0.4534635113
DE P 2019 1000 m3 1_2_3_NC DE_P_2019_1000 m3_1_2_3_NC 0
DE P 2019 1000 mt 2 DE_P_2019_1000 mt_2 14890.1207869239
DE P 2019 1000 m3 3 DE_P_2019_1000 m3_3 10972.4055869239
DE P 2019 1000 m3 3_1 DE_P_2019_1000 m3_3_1 3917.7152
DE P 2019 1000 m3 3_2 DE_P_2019_1000 m3_3_2 6601
DE P 2019 1000 mt 4 DE_P_2019_1000 mt_4 3661.508
DE P 2019 1000 mt 4_1 DE_P_2019_1000 mt_4_1 2821
DE P 2019 1000 mt 4_2 DE_P_2019_1000 mt_4_2 840.508
DE P 2019 1000 m3 5 DE_P_2019_1000 m3_5 24573.3516
DE P 2019 1000 m3 5_C DE_P_2019_1000 m3_5_C 23306.9826
DE P 2019 1000 m3 5_NC DE_P_2019_1000 m3_5_NC 1266.369
DE P 2019 1000 m3 5_NC_T DE_P_2019_1000 m3_5_NC_T 1.59432
DE P 2019 1000 m3 6 DE_P_2019_1000 m3_6 97.74
DE P 2019 1000 m3 6_1 DE_P_2019_1000 m3_6_1 13.9663907298
DE P 2019 1000 m3 6_1_C DE_P_2019_1000 m3_6_1_C 83.7736092702
DE P 2019 1000 m3 6_1_NC DE_P_2019_1000 m3_6_1_NC 1.40525
DE P 2019 1000 m3 6_1_NC_T DE_P_2019_1000 m3_6_1_NC_T 12407.91716836
DE P 2019 1000 m3 6_2 DE_P_2019_1000 m3_6_2 111.162
DE P 2019 1000 m3 6_2_C DE_P_2019_1000 m3_6_2_C 43.845
DE P 2019 1000 m3 6_2_NC DE_P_2019_1000 m3_6_2_NC 67.317
DE P 2019 1000 m3 6_2_NC_T DE_P_2019_1000 m3_6_2_NC_T 0.165
DE P 2019 1000 m3 6_3 DE_P_2019_1000 m3_6_3 6877.729
DE P 2019 1000 m3 6_3_1 DE_P_2019_1000 m3_6_3_1 1163.01
DE P 2019 1000 m3 6_4 DE_P_2019_1000 m3_6_4 5419.02616836
DE P 2019 1000 m3 6_4_1 DE_P_2019_1000 m3_6_4_1 0
DE P 2019 1000 m3 6_4_2 DE_P_2019_1000 m3_6_4_2 3628.603
DE P 2019 1000 m3 6_4_3 DE_P_2019_1000 m3_6_4_3 1790.42316836
DE P 2019 1000 mt 7 DE_P_2019_1000 mt_7 2326
DE P 2019 1000 mt 7_1 DE_P_2019_1000 mt_7_1 728
DE P 2019 1000 mt 7_2 DE_P_2019_1000 mt_7_2 1598
DE P 2019 1000 mt 7_3 DE_P_2019_1000 mt_7_3 1009
DE P 2019 1000 mt 7_3_1 DE_P_2019_1000 mt_7_3_1 0
DE P 2019 1000 mt 7_3_2 DE_P_2019_1000 mt_7_3_2 589
DE P 2019 1000 mt 7_3_3 DE_P_2019_1000 mt_7_3_3 0
DE P 2019 1000 mt 7_3_4 DE_P_2019_1000 mt_7_3_4 14413.242
DE P 2019 1000 mt 7_4 DE_P_2019_1000 mt_7_4 73.242
DE P 2019 1000 mt 8 DE_P_2019_1000 mt_8 14340
DE P 2019 1000 mt 8_1 DE_P_2019_1000 mt_8_1 17154
DE P 2019 1000 mt 8_2 DE_P_2019_1000 mt_8_2 22070.274
DE P 2019 1000 mt 9 DE_P_2019_1000 mt_9 7272.262
DE P 2019 1000 mt 10 DE_P_2019_1000 mt_10 1084.529
DE P 2019 1000 mt 10_1 DE_P_2019_1000 mt_10_1 1908.698
DE P 2019 1000 mt 10_1_1 DE_P_2019_1000 mt_10_1_1 1551.831
DE P 2019 1000 mt 10_1_2 DE_P_2019_1000 mt_10_1_2 2727.204
DE P 2019 1000 mt 10_1_3 DE_P_2019_1000 mt_10_1_3 1498.064
DE P 2019 1000 mt 10_1_4 DE_P_2019_1000 mt_10_1_4 11955.818
DE P 2019 1000 mt 10_2 DE_P_2019_1000 mt_10_2 8736.318
DE P 2019 1000 mt 10_3 DE_P_2019_1000 mt_10_3 1783.193
DE P 2019 1000 mt 10_3_1 DE_P_2019_1000 mt_10_3_1 409.507
DE P 2019 1000 mt 10_3_2 DE_P_2019_1000 mt_10_3_2 1026.8
DE P 2019 1000 mt 10_3_3 DE_P_2019_1000 mt_10_3_3 1344.13
DE P 2019 1000 mt 10_3_4 DE_P_2019_1000 mt_10_3_4 0
DE P 2019 1000 mt 10_4 DE_P_2019_1000 mt_10_4 0
DE M 2018 1000 m3 1 DE_M_2018_1000 m3_1 9340.788 JQ2
DE M 2018 1000 m3 1_1 DE_M_2018_1000 m3_1_1 430.933
DE M 2018 1000 m3 1_2 DE_M_2018_1000 m3_1_2 119.198
DE M 2018 1000 m3 1_2_C DE_M_2018_1000 m3_1_2_C 311.735
DE M 2018 1000 m3 1_2_NC DE_M_2018_1000 m3_1_2_NC 8909.855
DE M 2018 1000 m3 1_2_NC_T DE_M_2018_1000 m3_1_2_NC_T 8385.16
DE M 2018 1000 mt 2 DE_M_2018_1000 mt_2 524.695
DE M 2018 1000 m3 3 DE_M_2018_1000 m3_3 7.847
DE M 2018 1000 m3 3_1 DE_M_2018_1000 m3_3_1 235.071
DE M 2018 1000 m3 3_2 DE_M_2018_1000 m3_3_2 2093.552
DE M 2018 1000 mt 4 DE_M_2018_1000 mt_4 1307.246
DE M 2018 1000 mt 4_1 DE_M_2018_1000 mt_4_1 786.306
DE M 2018 1000 mt 4_2 DE_M_2018_1000 mt_4_2 997.71
DE M 2018 1000 m3 5 DE_M_2018_1000 m3_5 729.275
DE M 2018 1000 m3 5_C DE_M_2018_1000 m3_5_C 375.299
DE M 2018 1000 m3 5_NC DE_M_2018_1000 m3_5_NC 353.976
DE M 2018 1000 m3 5_NC_T DE_M_2018_1000 m3_5_NC_T 5553.892
DE M 2018 1000 m3 6 DE_M_2018_1000 m3_6 5161.967
DE M 2018 1000 m3 6_1 DE_M_2018_1000 m3_6_1 391.925
DE M 2018 1000 m3 6_1_C DE_M_2018_1000 m3_6_1_C 71.89
DE M 2018 1000 m3 6_1_NC DE_M_2018_1000 m3_6_1_NC 111.871
DE M 2018 1000 m3 6_1_NC_T DE_M_2018_1000 m3_6_1_NC_T 28.407
DE M 2018 1000 m3 6_2 DE_M_2018_1000 m3_6_2 83.464
DE M 2018 1000 m3 6_2_C DE_M_2018_1000 m3_6_2_C 10.108
DE M 2018 1000 m3 6_2_NC DE_M_2018_1000 m3_6_2_NC 5994.723
DE M 2018 1000 m3 6_2_NC_T DE_M_2018_1000 m3_6_2_NC_T 1619.917
DE M 2018 1000 m3 6_3 DE_M_2018_1000 m3_6_3 609.096
DE M 2018 1000 m3 6_3_1 DE_M_2018_1000 m3_6_3_1 1010.821
DE M 2018 1000 m3 6_4 DE_M_2018_1000 m3_6_4 157.57
DE M 2018 1000 m3 6_4_1 DE_M_2018_1000 m3_6_4_1 2967.272
DE M 2018 1000 m3 6_4_2 DE_M_2018_1000 m3_6_4_2 848.346
DE M 2018 1000 m3 6_4_3 DE_M_2018_1000 m3_6_4_3 1407.534
DE M 2018 1000 mt 7 DE_M_2018_1000 mt_7 227.579
DE M 2018 1000 mt 7_1 DE_M_2018_1000 mt_7_1 517.478
DE M 2018 1000 mt 7_2 DE_M_2018_1000 mt_7_2 662.477
DE M 2018 1000 mt 7_3 DE_M_2018_1000 mt_7_3 5076
DE M 2018 1000 mt 7_3_1 DE_M_2018_1000 mt_7_3_1 179
DE M 2018 1000 mt 7_3_2 DE_M_2018_1000 mt_7_3_2 4478
DE M 2018 1000 mt 7_3_3 DE_M_2018_1000 mt_7_3_3 4392
DE M 2018 1000 mt 7_3_4 DE_M_2018_1000 mt_7_3_4 4263
DE M 2018 1000 mt 7_4 DE_M_2018_1000 mt_7_4 86
DE M 2018 1000 mt 8 DE_M_2018_1000 mt_8 419
DE M 2018 1000 mt 8_1 DE_M_2018_1000 mt_8_1 113
DE M 2018 1000 mt 8_2 DE_M_2018_1000 mt_8_2 16
DE M 2018 1000 mt 9 DE_M_2018_1000 mt_9 97
DE M 2018 1000 mt 10 DE_M_2018_1000 mt_10 4915
DE M 2018 1000 mt 10_1 DE_M_2018_1000 mt_10_1 11631.5690709371
DE M 2018 1000 mt 10_1_1 DE_M_2018_1000 mt_10_1_1 5213.7421931524
DE M 2018 1000 mt 10_1_2 DE_M_2018_1000 mt_10_1_2 782.5172102106
DE M 2018 1000 mt 10_1_3 DE_M_2018_1000 mt_10_1_3 641.7187034716
DE M 2018 1000 mt 10_1_4 DE_M_2018_1000 mt_10_1_4 1268.9435027106
DE M 2018 1000 mt 10_2 DE_M_2018_1000 mt_10_2 2520.5627767596
DE M 2018 1000 mt 10_3 DE_M_2018_1000 mt_10_3 205.1202006096
DE M 2018 1000 mt 10_3_1 DE_M_2018_1000 mt_10_3_1 5517.7753819931
DE M 2018 1000 mt 10_3_2 DE_M_2018_1000 mt_10_3_2 2862.803593809
DE M 2018 1000 mt 10_3_3 DE_M_2018_1000 mt_10_3_3 1381.9288929989
DE M 2018 1000 mt 10_3_4 DE_M_2018_1000 mt_10_3_4 994.4912008078
DE M 2018 1000 mt 10_4 DE_M_2018_1000 mt_10_4 278.5516943773
DE M 2018 1000 NAC 1 DE_M_2018_1000 NAC_1 568203
DE M 2018 1000 NAC 1_1 DE_M_2018_1000 NAC_1_1 37477
DE M 2018 1000 NAC 1_2 DE_M_2018_1000 NAC_1_2 11883
DE M 2018 1000 NAC 1_2_C DE_M_2018_1000 NAC_1_2_C 25594
DE M 2018 1000 NAC 1_2_NC DE_M_2018_1000 NAC_1_2_NC 530726
DE M 2018 1000 NAC 1_2_NC_T DE_M_2018_1000 NAC_1_2_NC_T 476639
DE M 2018 1000 NAC 2 DE_M_2018_1000 NAC_2 54087
DE M 2018 1000 NAC 3 DE_M_2018_1000 NAC_3 4008
DE M 2018 1000 NAC 3_1 DE_M_2018_1000 NAC_3_1 109876
DE M 2018 1000 NAC 3_2 DE_M_2018_1000 NAC_3_2 71009
DE M 2018 1000 NAC 4 DE_M_2018_1000 NAC_4 41456
DE M 2018 1000 NAC 4_1 DE_M_2018_1000 NAC_4_1 29553
DE M 2018 1000 NAC 4_2 DE_M_2018_1000 NAC_4_2 35922
DE M 2018 1000 NAC 5 DE_M_2018_1000 NAC_5 117611
DE M 2018 1000 NAC 5_C DE_M_2018_1000 NAC_5_C 66295
DE M 2018 1000 NAC 5_NC DE_M_2018_1000 NAC_5_NC 51316
DE M 2018 1000 NAC 5_NC_T DE_M_2018_1000 NAC_5_NC_T 1341766
DE M 2018 1000 NAC 6 DE_M_2018_1000 NAC_6 1104891
DE M 2018 1000 NAC 6_1 DE_M_2018_1000 NAC_6_1 236875
DE M 2018 1000 NAC 6_1_C DE_M_2018_1000 NAC_6_1_C 67506
DE M 2018 1000 NAC 6_1_NC DE_M_2018_1000 NAC_6_1_NC 153730
DE M 2018 1000 NAC 6_1_NC_T DE_M_2018_1000 NAC_6_1_NC_T 19032
DE M 2018 1000 NAC 6_2 DE_M_2018_1000 NAC_6_2 134698
DE M 2018 1000 NAC 6_2_C DE_M_2018_1000 NAC_6_2_C 13231
DE M 2018 1000 NAC 6_2_NC DE_M_2018_1000 NAC_6_2_NC 2001549
DE M 2018 1000 NAC 6_2_NC_T DE_M_2018_1000 NAC_6_2_NC_T 846336
DE M 2018 1000 NAC 6_3 DE_M_2018_1000 NAC_6_3 244801.5
DE M 2018 1000 NAC 6_3_1 DE_M_2018_1000 NAC_6_3_1 601534.5
DE M 2018 1000 NAC 6_4 DE_M_2018_1000 NAC_6_4 99941
DE M 2018 1000 NAC 6_4_1 DE_M_2018_1000 NAC_6_4_1 745955
DE M 2018 1000 NAC 6_4_2 DE_M_2018_1000 NAC_6_4_2 222536
DE M 2018 1000 NAC 6_4_3 DE_M_2018_1000 NAC_6_4_3 409258
DE M 2018 1000 NAC 7 DE_M_2018_1000 NAC_7 100053
DE M 2018 1000 NAC 7_1 DE_M_2018_1000 NAC_7_1 229539
DE M 2018 1000 NAC 7_2 DE_M_2018_1000 NAC_7_2 79666
DE M 2018 1000 NAC 7_3 DE_M_2018_1000 NAC_7_3 3135736
DE M 2018 1000 NAC 7_3_1 DE_M_2018_1000 NAC_7_3_1 101557
DE M 2018 1000 NAC 7_3_2 DE_M_2018_1000 NAC_7_3_2 2683323
DE M 2018 1000 NAC 7_3_3 DE_M_2018_1000 NAC_7_3_3 2596583
DE M 2018 1000 NAC 7_3_4 DE_M_2018_1000 NAC_7_3_4 2526621
DE M 2018 1000 NAC 7_4 DE_M_2018_1000 NAC_7_4 86740
DE M 2018 1000 NAC 8 DE_M_2018_1000 NAC_8 350856
DE M 2018 1000 NAC 8_1 DE_M_2018_1000 NAC_8_1 30733
DE M 2018 1000 NAC 8_2 DE_M_2018_1000 NAC_8_2 23009
DE M 2018 1000 NAC 9 DE_M_2018_1000 NAC_9 7724
DE M 2018 1000 NAC 10 DE_M_2018_1000 NAC_10 696714
DE M 2018 1000 NAC 10_1 DE_M_2018_1000 NAC_10_1 8898689
DE M 2018 1000 NAC 10_1_1 DE_M_2018_1000 NAC_10_1_1 3533510
DE M 2018 1000 NAC 10_1_2 DE_M_2018_1000 NAC_10_1_2 389609
DE M 2018 1000 NAC 10_1_3 DE_M_2018_1000 NAC_10_1_3 426085
DE M 2018 1000 NAC 10_1_4 DE_M_2018_1000 NAC_10_1_4 1086119
DE M 2018 1000 NAC 10_2 DE_M_2018_1000 NAC_10_2 1631697
DE M 2018 1000 NAC 10_3 DE_M_2018_1000 NAC_10_3 259765
DE M 2018 1000 NAC 10_3_1 DE_M_2018_1000 NAC_10_3_1 3934496
DE M 2018 1000 NAC 10_3_2 DE_M_2018_1000 NAC_10_3_2 1327352
DE M 2018 1000 NAC 10_3_3 DE_M_2018_1000 NAC_10_3_3 1412619
DE M 2018 1000 NAC 10_3_4 DE_M_2018_1000 NAC_10_3_4 983139
DE M 2018 1000 NAC 10_4 DE_M_2018_1000 NAC_10_4 211386
DE M 2019 1000 m3 1 DE_M_2019_1000 m3_1 7613.673
DE M 2019 1000 m3 1_1 DE_M_2019_1000 m3_1_1 322.173
DE M 2019 1000 m3 1_2 DE_M_2019_1000 m3_1_2 102.882
DE M 2019 1000 m3 1_2_C DE_M_2019_1000 m3_1_2_C 219.291
DE M 2019 1000 m3 1_2_NC DE_M_2019_1000 m3_1_2_NC 7291.5
DE M 2019 1000 m3 1_2_NC_T DE_M_2019_1000 m3_1_2_NC_T 6842.766
DE M 2019 1000 mt 2 DE_M_2019_1000 mt_2 448.734
DE M 2019 1000 m3 3 DE_M_2019_1000 m3_3 9.476
DE M 2019 1000 m3 3_1 DE_M_2019_1000 m3_3_1 185.126
DE M 2019 1000 m3 3_2 DE_M_2019_1000 m3_3_2 1357.906
DE M 2019 1000 mt 4 DE_M_2019_1000 mt_4 747.015
DE M 2019 1000 mt 4_1 DE_M_2019_1000 mt_4_1 610.891
DE M 2019 1000 mt 4_2 DE_M_2019_1000 mt_4_2 845.334
DE M 2019 1000 m3 5 DE_M_2019_1000 m3_5 561.365
DE M 2019 1000 m3 5_C DE_M_2019_1000 m3_5_C 280.814
DE M 2019 1000 m3 5_NC DE_M_2019_1000 m3_5_NC 280.551
DE M 2019 1000 m3 5_NC_T DE_M_2019_1000 m3_5_NC_T 5248.327
DE M 2019 1000 m3 6 DE_M_2019_1000 m3_6 4838.013
DE M 2019 1000 m3 6_1 DE_M_2019_1000 m3_6_1 410.314
DE M 2019 1000 m3 6_1_C DE_M_2019_1000 m3_6_1_C 73.792
DE M 2019 1000 m3 6_1_NC DE_M_2019_1000 m3_6_1_NC 105.896
DE M 2019 1000 m3 6_1_NC_T DE_M_2019_1000 m3_6_1_NC_T 27.724
DE M 2019 1000 m3 6_2 DE_M_2019_1000 m3_6_2 78.172
DE M 2019 1000 m3 6_2_C DE_M_2019_1000 m3_6_2_C 8.38
DE M 2019 1000 m3 6_2_NC DE_M_2019_1000 m3_6_2_NC 5703.858
DE M 2019 1000 m3 6_2_NC_T DE_M_2019_1000 m3_6_2_NC_T 1477.554
DE M 2019 1000 m3 6_3 DE_M_2019_1000 m3_6_3 518.673
DE M 2019 1000 m3 6_3_1 DE_M_2019_1000 m3_6_3_1 958.881
DE M 2019 1000 m3 6_4 DE_M_2019_1000 m3_6_4 151.193
DE M 2019 1000 m3 6_4_1 DE_M_2019_1000 m3_6_4_1 2737.291
DE M 2019 1000 m3 6_4_2 DE_M_2019_1000 m3_6_4_2 789.245
DE M 2019 1000 m3 6_4_3 DE_M_2019_1000 m3_6_4_3 1489.013
DE M 2019 1000 mt 7 DE_M_2019_1000 mt_7 217.559
DE M 2019 1000 mt 7_1 DE_M_2019_1000 mt_7_1 493.313
DE M 2019 1000 mt 7_2 DE_M_2019_1000 mt_7_2 778.141
DE M 2019 1000 mt 7_3 DE_M_2019_1000 mt_7_3 4479
DE M 2019 1000 mt 7_3_1 DE_M_2019_1000 mt_7_3_1 193
DE M 2019 1000 mt 7_3_2 DE_M_2019_1000 mt_7_3_2 3911
DE M 2019 1000 mt 7_3_3 DE_M_2019_1000 mt_7_3_3 3831
DE M 2019 1000 mt 7_3_4 DE_M_2019_1000 mt_7_3_4 3720
DE M 2019 1000 mt 7_4 DE_M_2019_1000 mt_7_4 80
DE M 2019 1000 mt 8 DE_M_2019_1000 mt_8 375
DE M 2019 1000 mt 8_1 DE_M_2019_1000 mt_8_1 138
DE M 2019 1000 mt 8_2 DE_M_2019_1000 mt_8_2 14
DE M 2019 1000 mt 9 DE_M_2019_1000 mt_9 124
DE M 2019 1000 mt 10 DE_M_2019_1000 mt_10 4903
DE M 2019 1000 mt 10_1 DE_M_2019_1000 mt_10_1 10996.90805866
DE M 2019 1000 mt 10_1_1 DE_M_2019_1000 mt_10_1_1 4706.34250394
DE M 2019 1000 mt 10_1_2 DE_M_2019_1000 mt_10_1_2 750.00657732
DE M 2019 1000 mt 10_1_3 DE_M_2019_1000 mt_10_1_3 569.36257378
DE M 2019 1000 mt 10_1_4 DE_M_2019_1000 mt_10_1_4 1217.8054119
DE M 2019 1000 mt 10_2 DE_M_2019_1000 mt_10_2 2169.16794094
DE M 2019 1000 mt 10_3 DE_M_2019_1000 mt_10_3 198
DE M 2019 1000 mt 10_3_1 DE_M_2019_1000 mt_10_3_1 5374.66876676
DE M 2019 1000 mt 10_3_2 DE_M_2019_1000 mt_10_3_2 2634.5696604
DE M 2019 1000 mt 10_3_3 DE_M_2019_1000 mt_10_3_3 1465.60691816
DE M 2019 1000 mt 10_3_4 DE_M_2019_1000 mt_10_3_4 999.78046784
DE M 2019 1000 mt 10_4 DE_M_2019_1000 mt_10_4 274.71172036
DE M 2019 1000 NAC 1 DE_M_2019_1000 NAC_1 452406
DE M 2019 1000 NAC 1_1 DE_M_2019_1000 NAC_1_1 29708
DE M 2019 1000 NAC 1_2 DE_M_2019_1000 NAC_1_2 9832
DE M 2019 1000 NAC 1_2_C DE_M_2019_1000 NAC_1_2_C 19876
DE M 2019 1000 NAC 1_2_NC DE_M_2019_1000 NAC_1_2_NC 422698
DE M 2019 1000 NAC 1_2_NC_T DE_M_2019_1000 NAC_1_2_NC_T 373306
DE M 2019 1000 NAC 2 DE_M_2019_1000 NAC_2 49392
DE M 2019 1000 NAC 3 DE_M_2019_1000 NAC_3 4636
DE M 2019 1000 NAC 3_1 DE_M_2019_1000 NAC_3_1 92761
DE M 2019 1000 NAC 3_2 DE_M_2019_1000 NAC_3_2 45870
DE M 2019 1000 NAC 4 DE_M_2019_1000 NAC_4 23074
DE M 2019 1000 NAC 4_1 DE_M_2019_1000 NAC_4_1 22796
DE M 2019 1000 NAC 4_2 DE_M_2019_1000 NAC_4_2 31619
DE M 2019 1000 NAC 5 DE_M_2019_1000 NAC_5 88023
DE M 2019 1000 NAC 5_C DE_M_2019_1000 NAC_5_C 51372
DE M 2019 1000 NAC 5_NC DE_M_2019_1000 NAC_5_NC 36651
DE M 2019 1000 NAC 5_NC_T DE_M_2019_1000 NAC_5_NC_T 1213183
DE M 2019 1000 NAC 6 DE_M_2019_1000 NAC_6 996972
DE M 2019 1000 NAC 6_1 DE_M_2019_1000 NAC_6_1 216211
DE M 2019 1000 NAC 6_1_C DE_M_2019_1000 NAC_6_1_C 59143
DE M 2019 1000 NAC 6_1_NC DE_M_2019_1000 NAC_6_1_NC 149308
DE M 2019 1000 NAC 6_1_NC_T DE_M_2019_1000 NAC_6_1_NC_T 18392
DE M 2019 1000 NAC 6_2 DE_M_2019_1000 NAC_6_2 130916
DE M 2019 1000 NAC 6_2_C DE_M_2019_1000 NAC_6_2_C 12376
DE M 2019 1000 NAC 6_2_NC DE_M_2019_1000 NAC_6_2_NC 1885732
DE M 2019 1000 NAC 6_2_NC_T DE_M_2019_1000 NAC_6_2_NC_T 783125
DE M 2019 1000 NAC 6_3 DE_M_2019_1000 NAC_6_3 221608
DE M 2019 1000 NAC 6_3_1 DE_M_2019_1000 NAC_6_3_1 561517
DE M 2019 1000 NAC 6_4 DE_M_2019_1000 NAC_6_4 100407
DE M 2019 1000 NAC 6_4_1 DE_M_2019_1000 NAC_6_4_1 690899
DE M 2019 1000 NAC 6_4_2 DE_M_2019_1000 NAC_6_4_2 203723
DE M 2019 1000 NAC 6_4_3 DE_M_2019_1000 NAC_6_4_3 411708
DE M 2019 1000 NAC 7 DE_M_2019_1000 NAC_7 88249
DE M 2019 1000 NAC 7_1 DE_M_2019_1000 NAC_7_1 232910
DE M 2019 1000 NAC 7_2 DE_M_2019_1000 NAC_7_2 90549
DE M 2019 1000 NAC 7_3 DE_M_2019_1000 NAC_7_3 2748903
DE M 2019 1000 NAC 7_3_1 DE_M_2019_1000 NAC_7_3_1 114365
DE M 2019 1000 NAC 7_3_2 DE_M_2019_1000 NAC_7_3_2 2312458
DE M 2019 1000 NAC 7_3_3 DE_M_2019_1000 NAC_7_3_3 2230306
DE M 2019 1000 NAC 7_3_4 DE_M_2019_1000 NAC_7_3_4 2171197
DE M 2019 1000 NAC 7_4 DE_M_2019_1000 NAC_7_4 82152
DE M 2019 1000 NAC 8 DE_M_2019_1000 NAC_8 322080
DE M 2019 1000 NAC 8_1 DE_M_2019_1000 NAC_8_1 33374
DE M 2019 1000 NAC 8_2 DE_M_2019_1000 NAC_8_2 19856
DE M 2019 1000 NAC 9 DE_M_2019_1000 NAC_9 13518
DE M 2019 1000 NAC 10 DE_M_2019_1000 NAC_10 669981
DE M 2019 1000 NAC 10_1 DE_M_2019_1000 NAC_10_1 8979519.95883218
DE M 2019 1000 NAC 10_1_1 DE_M_2019_1000 NAC_10_1_1 3508066.58782824
DE M 2019 1000 NAC 10_1_2 DE_M_2019_1000 NAC_10_1_2 399222.414741474
DE M 2019 1000 NAC 10_1_3 DE_M_2019_1000 NAC_10_1_3 399410.630859904
DE M 2019 1000 NAC 10_1_4 DE_M_2019_1000 NAC_10_1_4 1089512.47593598
DE M 2019 1000 NAC 10_2 DE_M_2019_1000 NAC_10_2 1619921.06629089
DE M 2019 1000 NAC 10_3 DE_M_2019_1000 NAC_10_3 271000
DE M 2019 1000 NAC 10_3_1 DE_M_2019_1000 NAC_10_3_1 3918734.72274157
DE M 2019 1000 NAC 10_3_2 DE_M_2019_1000 NAC_10_3_2 1184763.96222014
DE M 2019 1000 NAC 10_3_3 DE_M_2019_1000 NAC_10_3_3 1516324.05759618
DE M 2019 1000 NAC 10_3_4 DE_M_2019_1000 NAC_10_3_4 1008730.75197228
DE M 2019 1000 NAC 10_4 DE_M_2019_1000 NAC_10_4 208915.950952964
DE X 2018 1000 m3 1 DE_X_2018_1000 m3_1 5505.334
DE X 2018 1000 m3 1_1 DE_X_2018_1000 m3_1_1 141.653
DE X 2018 1000 m3 1_2 DE_X_2018_1000 m3_1_2 89.627
DE X 2018 1000 m3 1_2_C DE_X_2018_1000 m3_1_2_C 52.026
DE X 2018 1000 m3 1_2_NC DE_X_2018_1000 m3_1_2_NC 5363.681
DE X 2018 1000 m3 1_2_NC_T DE_X_2018_1000 m3_1_2_NC_T 3899.734
DE X 2018 1000 mt 2 DE_X_2018_1000 mt_2 1463.947
DE X 2018 1000 m3 3 DE_X_2018_1000 m3_3 4.752
DE X 2018 1000 m3 3_1 DE_X_2018_1000 m3_3_1 26.829
DE X 2018 1000 m3 3_2 DE_X_2018_1000 m3_3_2 2738.645
DE X 2018 1000 mt 4 DE_X_2018_1000 mt_4 1995.08
DE X 2018 1000 mt 4_1 DE_X_2018_1000 mt_4_1 743.565
DE X 2018 1000 mt 4_2 DE_X_2018_1000 mt_4_2 742.189
DE X 2018 1000 m3 5 DE_X_2018_1000 m3_5 686.15
DE X 2018 1000 m3 5_C DE_X_2018_1000 m3_5_C 641.45
DE X 2018 1000 m3 5_NC DE_X_2018_1000 m3_5_NC 44.7
DE X 2018 1000 m3 5_NC_T DE_X_2018_1000 m3_5_NC_T 9043.016
DE X 2018 1000 m3 6 DE_X_2018_1000 m3_6 8263.498
DE X 2018 1000 m3 6_1 DE_X_2018_1000 m3_6_1 779.518
DE X 2018 1000 m3 6_1_C DE_X_2018_1000 m3_6_1_C 36.431
DE X 2018 1000 m3 6_1_NC DE_X_2018_1000 m3_6_1_NC 62.564
DE X 2018 1000 m3 6_1_NC_T DE_X_2018_1000 m3_6_1_NC_T 0.588
DE X 2018 1000 m3 6_2 DE_X_2018_1000 m3_6_2 61.976
DE X 2018 1000 m3 6_2_C DE_X_2018_1000 m3_6_2_C 2.867
DE X 2018 1000 m3 6_2_NC DE_X_2018_1000 m3_6_2_NC 6145.173
DE X 2018 1000 m3 6_2_NC_T DE_X_2018_1000 m3_6_2_NC_T 392.903
DE X 2018 1000 m3 6_3 DE_X_2018_1000 m3_6_3 139.33
DE X 2018 1000 m3 6_3_1 DE_X_2018_1000 m3_6_3_1 253.573
DE X 2018 1000 m3 6_4 DE_X_2018_1000 m3_6_4 45.112
DE X 2018 1000 m3 6_4_1 DE_X_2018_1000 m3_6_4_1 2432.904
DE X 2018 1000 m3 6_4_2 DE_X_2018_1000 m3_6_4_2 513.038
DE X 2018 1000 m3 6_4_3 DE_X_2018_1000 m3_6_4_3 3319.366
DE X 2018 1000 mt 7 DE_X_2018_1000 mt_7 1502.497
DE X 2018 1000 mt 7_1 DE_X_2018_1000 mt_7_1 1557.822
DE X 2018 1000 mt 7_2 DE_X_2018_1000 mt_7_2 259.047
DE X 2018 1000 mt 7_3 DE_X_2018_1000 mt_7_3 1089
DE X 2018 1000 mt 7_3_1 DE_X_2018_1000 mt_7_3_1 103
DE X 2018 1000 mt 7_3_2 DE_X_2018_1000 mt_7_3_2 973
DE X 2018 1000 mt 7_3_3 DE_X_2018_1000 mt_7_3_3 888
DE X 2018 1000 mt 7_3_4 DE_X_2018_1000 mt_7_3_4 881
DE X 2018 1000 mt 7_4 DE_X_2018_1000 mt_7_4 85
DE X 2018 1000 mt 8 DE_X_2018_1000 mt_8 13
DE X 2018 1000 mt 8_1 DE_X_2018_1000 mt_8_1 139
DE X 2018 1000 mt 8_2 DE_X_2018_1000 mt_8_2 1
DE X 2018 1000 mt 9 DE_X_2018_1000 mt_9 138
DE X 2018 1000 mt 10 DE_X_2018_1000 mt_10 2824
DE X 2018 1000 mt 10_1 DE_X_2018_1000 mt_10_1 14277.5728008367
DE X 2018 1000 mt 10_1_1 DE_X_2018_1000 mt_10_1_1 5629.6275192978
DE X 2018 1000 mt 10_1_2 DE_X_2018_1000 mt_10_1_2 459.2948010331
DE X 2018 1000 mt 10_1_3 DE_X_2018_1000 mt_10_1_3 1010.5545009887
DE X 2018 1000 mt 10_1_4 DE_X_2018_1000 mt_10_1_4 984.14360174
DE X 2018 1000 mt 10_2 DE_X_2018_1000 mt_10_2 3175.6346155361
DE X 2018 1000 mt 10_3 DE_X_2018_1000 mt_10_3 132.7497995516
DE X 2018 1000 mt 10_3_1 DE_X_2018_1000 mt_10_3_1 7577.1274822797
DE X 2018 1000 mt 10_3_2 DE_X_2018_1000 mt_10_3_2 4378.7020829681
DE X 2018 1000 mt 10_3_3 DE_X_2018_1000 mt_10_3_3 2061.2331981234
DE X 2018 1000 mt 10_3_4 DE_X_2018_1000 mt_10_3_4 832.6750014679
DE X 2018 1000 mt 10_4 DE_X_2018_1000 mt_10_4 304.5171997202
DE X 2018 1000 NAC 1 DE_X_2018_1000 NAC_1 468864
DE X 2018 1000 NAC 1_1 DE_X_2018_1000 NAC_1_1 8316
DE X 2018 1000 NAC 1_2 DE_X_2018_1000 NAC_1_2 3001
DE X 2018 1000 NAC 1_2_C DE_X_2018_1000 NAC_1_2_C 5315
DE X 2018 1000 NAC 1_2_NC DE_X_2018_1000 NAC_1_2_NC 460548
DE X 2018 1000 NAC 1_2_NC_T DE_X_2018_1000 NAC_1_2_NC_T 277157
DE X 2018 1000 NAC 2 DE_X_2018_1000 NAC_2 183391
DE X 2018 1000 NAC 3 DE_X_2018_1000 NAC_3 2455
DE X 2018 1000 NAC 3_1 DE_X_2018_1000 NAC_3_1 23258
DE X 2018 1000 NAC 3_2 DE_X_2018_1000 NAC_3_2 128535
DE X 2018 1000 NAC 4 DE_X_2018_1000 NAC_4 83276
DE X 2018 1000 NAC 4_1 DE_X_2018_1000 NAC_4_1 45259
DE X 2018 1000 NAC 4_2 DE_X_2018_1000 NAC_4_2 38120
DE X 2018 1000 NAC 5 DE_X_2018_1000 NAC_5 162044
DE X 2018 1000 NAC 5_C DE_X_2018_1000 NAC_5_C 148856
DE X 2018 1000 NAC 5_NC DE_X_2018_1000 NAC_5_NC 13188
DE X 2018 1000 NAC 5_NC_T DE_X_2018_1000 NAC_5_NC_T 2147964
DE X 2018 1000 NAC 6 DE_X_2018_1000 NAC_6 1760906
DE X 2018 1000 NAC 6_1 DE_X_2018_1000 NAC_6_1 387058
DE X 2018 1000 NAC 6_1_C DE_X_2018_1000 NAC_6_1_C 42377
DE X 2018 1000 NAC 6_1_NC DE_X_2018_1000 NAC_6_1_NC 142401
DE X 2018 1000 NAC 6_1_NC_T DE_X_2018_1000 NAC_6_1_NC_T 1985
DE X 2018 1000 NAC 6_2 DE_X_2018_1000 NAC_6_2 140416
DE X 2018 1000 NAC 6_2_C DE_X_2018_1000 NAC_6_2_C 10943
DE X 2018 1000 NAC 6_2_NC DE_X_2018_1000 NAC_6_2_NC 2606912
DE X 2018 1000 NAC 6_2_NC_T DE_X_2018_1000 NAC_6_2_NC_T 281307
DE X 2018 1000 NAC 6_3 DE_X_2018_1000 NAC_6_3 74347.5
DE X 2018 1000 NAC 6_3_1 DE_X_2018_1000 NAC_6_3_1 206959.5
DE X 2018 1000 NAC 6_4 DE_X_2018_1000 NAC_6_4 54575
DE X 2018 1000 NAC 6_4_1 DE_X_2018_1000 NAC_6_4_1 644000
DE X 2018 1000 NAC 6_4_2 DE_X_2018_1000 NAC_6_4_2 136684
DE X 2018 1000 NAC 6_4_3 DE_X_2018_1000 NAC_6_4_3 1681605
DE X 2018 1000 NAC 7 DE_X_2018_1000 NAC_7 929142
DE X 2018 1000 NAC 7_1 DE_X_2018_1000 NAC_7_1 722417
DE X 2018 1000 NAC 7_2 DE_X_2018_1000 NAC_7_2 30046
DE X 2018 1000 NAC 7_3 DE_X_2018_1000 NAC_7_3 711069
DE X 2018 1000 NAC 7_3_1 DE_X_2018_1000 NAC_7_3_1 47178
DE X 2018 1000 NAC 7_3_2 DE_X_2018_1000 NAC_7_3_2 648267
DE X 2018 1000 NAC 7_3_3 DE_X_2018_1000 NAC_7_3_3 544271
DE X 2018 1000 NAC 7_3_4 DE_X_2018_1000 NAC_7_3_4 539744
DE X 2018 1000 NAC 7_4 DE_X_2018_1000 NAC_7_4 103996
DE X 2018 1000 NAC 8 DE_X_2018_1000 NAC_8 15624
DE X 2018 1000 NAC 8_1 DE_X_2018_1000 NAC_8_1 64645
DE X 2018 1000 NAC 8_2 DE_X_2018_1000 NAC_8_2 1010
DE X 2018 1000 NAC 9 DE_X_2018_1000 NAC_9 63635
DE X 2018 1000 NAC 10 DE_X_2018_1000 NAC_10 337334
DE X 2018 1000 NAC 10_1 DE_X_2018_1000 NAC_10_1 12148749
DE X 2018 1000 NAC 10_1_1 DE_X_2018_1000 NAC_10_1_1 4326335
DE X 2018 1000 NAC 10_1_2 DE_X_2018_1000 NAC_10_1_2 225917
DE X 2018 1000 NAC 10_1_3 DE_X_2018_1000 NAC_10_1_3 553230
DE X 2018 1000 NAC 10_1_4 DE_X_2018_1000 NAC_10_1_4 1086251
DE X 2018 1000 NAC 10_2 DE_X_2018_1000 NAC_10_2 2460937
DE X 2018 1000 NAC 10_3 DE_X_2018_1000 NAC_10_3 214905
DE X 2018 1000 NAC 10_3_1 DE_X_2018_1000 NAC_10_3_1 5684300
DE X 2018 1000 NAC 10_3_2 DE_X_2018_1000 NAC_10_3_2 2136731
DE X 2018 1000 NAC 10_3_3 DE_X_2018_1000 NAC_10_3_3 2357607
DE X 2018 1000 NAC 10_3_4 DE_X_2018_1000 NAC_10_3_4 974468
DE X 2018 1000 NAC 10_4 DE_X_2018_1000 NAC_10_4 215494
DE X 2019 1000 m3 1 DE_X_2019_1000 m3_1 8769.105
DE X 2019 1000 m3 1_1 DE_X_2019_1000 m3_1_1 138.465
DE X 2019 1000 m3 1_2 DE_X_2019_1000 m3_1_2 96.6
DE X 2019 1000 m3 1_2_C DE_X_2019_1000 m3_1_2_C 41.865
DE X 2019 1000 m3 1_2_NC DE_X_2019_1000 m3_1_2_NC 8630.64
DE X 2019 1000 m3 1_2_NC_T DE_X_2019_1000 m3_1_2_NC_T 7210.63
DE X 2019 1000 mt 2 DE_X_2019_1000 mt_2 1420.01
DE X 2019 1000 m3 3 DE_X_2019_1000 m3_3 4.366
DE X 2019 1000 m3 3_1 DE_X_2019_1000 m3_3_1 21.082
DE X 2019 1000 m3 3_2 DE_X_2019_1000 m3_3_2 2652.016
DE X 2019 1000 mt 4 DE_X_2019_1000 mt_4 1858.778
DE X 2019 1000 mt 4_1 DE_X_2019_1000 mt_4_1 793.238
DE X 2019 1000 mt 4_2 DE_X_2019_1000 mt_4_2 642.983
DE X 2019 1000 m3 5 DE_X_2019_1000 m3_5 763.098
DE X 2019 1000 m3 5_C DE_X_2019_1000 m3_5_C 720.663
DE X 2019 1000 m3 5_NC DE_X_2019_1000 m3_5_NC 42.435
DE X 2019 1000 m3 5_NC_T DE_X_2019_1000 m3_5_NC_T 9631.371
DE X 2019 1000 m3 6 DE_X_2019_1000 m3_6 8867.019
DE X 2019 1000 m3 6_1 DE_X_2019_1000 m3_6_1 764.352
DE X 2019 1000 m3 6_1_C DE_X_2019_1000 m3_6_1_C 33.136
DE X 2019 1000 m3 6_1_NC DE_X_2019_1000 m3_6_1_NC 57.78
DE X 2019 1000 m3 6_1_NC_T DE_X_2019_1000 m3_6_1_NC_T 0.53
DE X 2019 1000 m3 6_2 DE_X_2019_1000 m3_6_2 57.25
DE X 2019 1000 m3 6_2_C DE_X_2019_1000 m3_6_2_C 2.489
DE X 2019 1000 m3 6_2_NC DE_X_2019_1000 m3_6_2_NC 6000.438
DE X 2019 1000 m3 6_2_NC_T DE_X_2019_1000 m3_6_2_NC_T 372.812
DE X 2019 1000 m3 6_3 DE_X_2019_1000 m3_6_3 133.153
DE X 2019 1000 m3 6_3_1 DE_X_2019_1000 m3_6_3_1 239.659
DE X 2019 1000 m3 6_4 DE_X_2019_1000 m3_6_4 39.613
DE X 2019 1000 m3 6_4_1 DE_X_2019_1000 m3_6_4_1 2334.071
DE X 2019 1000 m3 6_4_2 DE_X_2019_1000 m3_6_4_2 524.837
DE X 2019 1000 m3 6_4_3 DE_X_2019_1000 m3_6_4_3 3293.555
DE X 2019 1000 mt 7 DE_X_2019_1000 mt_7 1157.909
DE X 2019 1000 mt 7_1 DE_X_2019_1000 mt_7_1 1745.259
DE X 2019 1000 mt 7_2 DE_X_2019_1000 mt_7_2 390.387
DE X 2019 1000 mt 7_3 DE_X_2019_1000 mt_7_3 1213
DE X 2019 1000 mt 7_3_1 DE_X_2019_1000 mt_7_3_1 90
DE X 2019 1000 mt 7_3_2 DE_X_2019_1000 mt_7_3_2 1111
DE X 2019 1000 mt 7_3_3 DE_X_2019_1000 mt_7_3_3 1029
DE X 2019 1000 mt 7_3_4 DE_X_2019_1000 mt_7_3_4 1017
DE X 2019 1000 mt 7_4 DE_X_2019_1000 mt_7_4 82
DE X 2019 1000 mt 8 DE_X_2019_1000 mt_8 12
DE X 2019 1000 mt 8_1 DE_X_2019_1000 mt_8_1 118
DE X 2019 1000 mt 8_2 DE_X_2019_1000 mt_8_2 1
DE X 2019 1000 mt 9 DE_X_2019_1000 mt_9 117
DE X 2019 1000 mt 10 DE_X_2019_1000 mt_10 2501
DE X 2019 1000 mt 10_1 DE_X_2019_1000 mt_10_1 14260.65877872
DE X 2019 1000 mt 10_1_1 DE_X_2019_1000 mt_10_1_1 5285.07064244
DE X 2019 1000 mt 10_1_2 DE_X_2019_1000 mt_10_1_2 450.51246826
DE X 2019 1000 mt 10_1_3 DE_X_2019_1000 mt_10_1_3 940.92661574
DE X 2019 1000 mt 10_1_4 DE_X_2019_1000 mt_10_1_4 958.85457266
DE X 2019 1000 mt 10_2 DE_X_2019_1000 mt_10_2 2934.77698578
DE X 2019 1000 mt 10_3 DE_X_2019_1000 mt_10_3 122
DE X 2019 1000 mt 10_3_1 DE_X_2019_1000 mt_10_3_1 7933.26612928
DE X 2019 1000 mt 10_3_2 DE_X_2019_1000 mt_10_3_2 4708.8022634
DE X 2019 1000 mt 10_3_3 DE_X_2019_1000 mt_10_3_3 2127.01808836
DE X 2019 1000 mt 10_3_4 DE_X_2019_1000 mt_10_3_4 801.22100844
DE X 2019 1000 mt 10_4 DE_X_2019_1000 mt_10_4 296.22476908
DE X 2019 1000 NAC 1 DE_X_2019_1000 NAC_1 680479
DE X 2019 1000 NAC 1_1 DE_X_2019_1000 NAC_1_1 7046
DE X 2019 1000 NAC 1_2 DE_X_2019_1000 NAC_1_2 2850
DE X 2019 1000 NAC 1_2_C DE_X_2019_1000 NAC_1_2_C 4196
DE X 2019 1000 NAC 1_2_NC DE_X_2019_1000 NAC_1_2_NC 673433
DE X 2019 1000 NAC 1_2_NC_T DE_X_2019_1000 NAC_1_2_NC_T 501856
DE X 2019 1000 NAC 2 DE_X_2019_1000 NAC_2 171577
DE X 2019 1000 NAC 3 DE_X_2019_1000 NAC_3 2614
DE X 2019 1000 NAC 3_1 DE_X_2019_1000 NAC_3_1 20734
DE X 2019 1000 NAC 3_2 DE_X_2019_1000 NAC_3_2 127756
DE X 2019 1000 NAC 4 DE_X_2019_1000 NAC_4 81219
DE X 2019 1000 NAC 4_1 DE_X_2019_1000 NAC_4_1 46537
DE X 2019 1000 NAC 4_2 DE_X_2019_1000 NAC_4_2 38115
DE X 2019 1000 NAC 5 DE_X_2019_1000 NAC_5 175928
DE X 2019 1000 NAC 5_C DE_X_2019_1000 NAC_5_C 163167
DE X 2019 1000 NAC 5_NC DE_X_2019_1000 NAC_5_NC 12761
DE X 2019 1000 NAC 5_NC_T DE_X_2019_1000 NAC_5_NC_T 2074615
DE X 2019 1000 NAC 6 DE_X_2019_1000 NAC_6 1692360
DE X 2019 1000 NAC 6_1 DE_X_2019_1000 NAC_6_1 382255
DE X 2019 1000 NAC 6_1_C DE_X_2019_1000 NAC_6_1_C 37699
DE X 2019 1000 NAC 6_1_NC DE_X_2019_1000 NAC_6_1_NC 139206
DE X 2019 1000 NAC 6_1_NC_T DE_X_2019_1000 NAC_6_1_NC_T 2401
DE X 2019 1000 NAC 6_2 DE_X_2019_1000 NAC_6_2 136805
DE X 2019 1000 NAC 6_2_C DE_X_2019_1000 NAC_6_2_C 10593
DE X 2019 1000 NAC 6_2_NC DE_X_2019_1000 NAC_6_2_NC 2476932
DE X 2019 1000 NAC 6_2_NC_T DE_X_2019_1000 NAC_6_2_NC_T 263129
DE X 2019 1000 NAC 6_3 DE_X_2019_1000 NAC_6_3 72288
DE X 2019 1000 NAC 6_3_1 DE_X_2019_1000 NAC_6_3_1 190841
DE X 2019 1000 NAC 6_4 DE_X_2019_1000 NAC_6_4 47702.5
DE X 2019 1000 NAC 6_4_1 DE_X_2019_1000 NAC_6_4_1 601234
DE X 2019 1000 NAC 6_4_2 DE_X_2019_1000 NAC_6_4_2 132514
DE X 2019 1000 NAC 6_4_3 DE_X_2019_1000 NAC_6_4_3 1612569
DE X 2019 1000 NAC 7 DE_X_2019_1000 NAC_7 727321
DE X 2019 1000 NAC 7_1 DE_X_2019_1000 NAC_7_1 843091
DE X 2019 1000 NAC 7_2 DE_X_2019_1000 NAC_7_2 42157
DE X 2019 1000 NAC 7_3 DE_X_2019_1000 NAC_7_3 737533
DE X 2019 1000 NAC 7_3_1 DE_X_2019_1000 NAC_7_3_1 43391
DE X 2019 1000 NAC 7_3_2 DE_X_2019_1000 NAC_7_3_2 680546
DE X 2019 1000 NAC 7_3_3 DE_X_2019_1000 NAC_7_3_3 574169
DE X 2019 1000 NAC 7_3_4 DE_X_2019_1000 NAC_7_3_4 566964
DE X 2019 1000 NAC 7_4 DE_X_2019_1000 NAC_7_4 106377
DE X 2019 1000 NAC 8 DE_X_2019_1000 NAC_8 13596
DE X 2019 1000 NAC 8_1 DE_X_2019_1000 NAC_8_1 57240
DE X 2019 1000 NAC 8_2 DE_X_2019_1000 NAC_8_2 1261
DE X 2019 1000 NAC 9 DE_X_2019_1000 NAC_9 55979
DE X 2019 1000 NAC 10 DE_X_2019_1000 NAC_10 271490
DE X 2019 1000 NAC 10_1 DE_X_2019_1000 NAC_10_1 11930403.7049616
DE X 2019 1000 NAC 10_1_1 DE_X_2019_1000 NAC_10_1_1 4299661.30393148
DE X 2019 1000 NAC 10_1_2 DE_X_2019_1000 NAC_10_1_2 236471.06581258
DE X 2019 1000 NAC 10_1_3 DE_X_2019_1000 NAC_10_1_3 545508.363785433
DE X 2019 1000 NAC 10_1_4 DE_X_2019_1000 NAC_10_1_4 1135826.86679629
DE X 2019 1000 NAC 10_2 DE_X_2019_1000 NAC_10_2 2381855.00753717
DE X 2019 1000 NAC 10_3 DE_X_2019_1000 NAC_10_3 206000
DE X 2019 1000 NAC 10_3_1 DE_X_2019_1000 NAC_10_3_1 5457875.33241234
DE X 2019 1000 NAC 10_3_2 DE_X_2019_1000 NAC_10_3_2 1933546.33261294
DE X 2019 1000 NAC 10_3_3 DE_X_2019_1000 NAC_10_3_3 2385499.06916719
DE X 2019 1000 NAC 10_3_4 DE_X_2019_1000 NAC_10_3_4 920475.719290576
DE X 2019 1000 NAC 10_4 DE_X_2019_1000 NAC_10_4 218354.211341639
DE M 8244416 1000 NAC 11_1 DE_M_8244416_1000 NAC_11_1 109458 JQ3
DE M 8244416 1000 NAC 11_1_C DE_M_8244416_1000 NAC_11_1_C 127344
DE M 8244416 1000 NAC 11_1_NC DE_M_8244416_1000 NAC_11_1_NC 54655
DE M 8244416 1000 NAC 11_1_NC_T DE_M_8244416_1000 NAC_11_1_NC_T 572431
DE M 8244416 1000 NAC 11_2 DE_M_8244416_1000 NAC_11_2 289756
DE M 8244416 1000 NAC 11_3 DE_M_8244416_1000 NAC_11_3 1130448
DE M 8244416 1000 NAC 11_4 DE_M_8244416_1000 NAC_11_4 5085738
DE M 8244416 1000 NAC 11_5 DE_M_8244416_1000 NAC_11_5 195523
DE M 8244416 1000 NAC 11_6 DE_M_8244416_1000 NAC_11_6 733718
DE M 8244416 1000 NAC 11_7 DE_M_8244416_1000 NAC_11_7 3905112
DE M 8244416 1000 NAC 11_7_1 DE_M_8244416_1000 NAC_11_7_1 52114
DE M 8244416 1000 NAC 12_1 DE_M_8244416_1000 NAC_12_1 834704
DE M 8244416 1000 NAC 12_2 DE_M_8244416_1000 NAC_12_2 1370844
DE M 8244416 1000 NAC 12_3 DE_M_8244416_1000 NAC_12_3 1075193
DE M 8244416 1000 NAC 12_4 DE_M_8244416_1000 NAC_12_4 23851
DE M 8244416 1000 NAC 12_5 DE_M_8244416_1000 NAC_12_5 77319
DE M 8244416 1000 NAC 12_6 DE_M_8244416_1000 NAC_12_6 40148
DE M 8244416 1000 NAC 12_6_1 DE_M_8244416_1000 NAC_12_6_1 0
DE M 8244416 1000 NAC 12_6_2 DE_M_8244416_1000 NAC_12_6_2 0
DE M 8244416 1000 NAC 12_6_3 DE_M_8244416_1000 NAC_12_6_3 0
DE M 8541647 1000 NAC 11_1 DE_M_8541647_1000 NAC_11_1 113271
DE M 8541647 1000 NAC 11_1_C DE_M_8541647_1000 NAC_11_1_C 122824
DE M 8541647 1000 NAC 11_1_NC DE_M_8541647_1000 NAC_11_1_NC 52721
DE M 8541647 1000 NAC 11_1_NC_T DE_M_8541647_1000 NAC_11_1_NC_T 527550
DE M 8541647 1000 NAC 11_2 DE_M_8541647_1000 NAC_11_2 309434
DE M 8541647 1000 NAC 11_3 DE_M_8541647_1000 NAC_11_3 1178363
DE M 8541647 1000 NAC 11_4 DE_M_8541647_1000 NAC_11_4 5340797
DE M 8541647 1000 NAC 11_5 DE_M_8541647_1000 NAC_11_5 199174
DE M 8541647 1000 NAC 11_6 DE_M_8541647_1000 NAC_11_6 750234
DE M 8541647 1000 NAC 11_7 DE_M_8541647_1000 NAC_11_7 3988352
DE M 8541647 1000 NAC 11_7_1 DE_M_8541647_1000 NAC_11_7_1 48641
DE M 8541647 1000 NAC 12_1 DE_M_8541647_1000 NAC_12_1 858955
DE M 8541647 1000 NAC 12_2 DE_M_8541647_1000 NAC_12_2 1394836
DE M 8541647 1000 NAC 12_3 DE_M_8541647_1000 NAC_12_3 1123721
DE M 8541647 1000 NAC 12_4 DE_M_8541647_1000 NAC_12_4 23793
DE M 8541647 1000 NAC 12_5 DE_M_8541647_1000 NAC_12_5 85206
DE M 8541647 1000 NAC 12_6 DE_M_8541647_1000 NAC_12_6 50888
DE M 8541647 1000 NAC 12_6_1 DE_M_8541647_1000 NAC_12_6_1 0
DE M 8541647 1000 NAC 12_6_2 DE_M_8541647_1000 NAC_12_6_2 0
DE M 8541647 1000 NAC 12_6_3 DE_M_8541647_1000 NAC_12_6_3 0
DE X 8244416 1000 NAC 11_1 DE_X_8244416_1000 NAC_11_1 158339
DE X 8244416 1000 NAC 11_1_C DE_X_8244416_1000 NAC_11_1_C 62479
DE X 8244416 1000 NAC 11_1_NC DE_X_8244416_1000 NAC_11_1_NC 6928
DE X 8244416 1000 NAC 11_1_NC_T DE_X_8244416_1000 NAC_11_1_NC_T 349622
DE X 8244416 1000 NAC 11_2 DE_X_8244416_1000 NAC_11_2 135290
DE X 8244416 1000 NAC 11_3 DE_X_8244416_1000 NAC_11_3 1157241
DE X 8244416 1000 NAC 11_4 DE_X_8244416_1000 NAC_11_4 4768332
DE X 8244416 1000 NAC 11_5 DE_X_8244416_1000 NAC_11_5 118961
DE X 8244416 1000 NAC 11_6 DE_X_8244416_1000 NAC_11_6 464629
DE X 8244416 1000 NAC 11_7 DE_X_8244416_1000 NAC_11_7 7645906
DE X 8244416 1000 NAC 11_7_1 DE_X_8244416_1000 NAC_11_7_1 84544
DE X 8244416 1000 NAC 12_1 DE_X_8244416_1000 NAC_12_1 1225562
DE X 8244416 1000 NAC 12_2 DE_X_8244416_1000 NAC_12_2 2934504
DE X 8244416 1000 NAC 12_3 DE_X_8244416_1000 NAC_12_3 1712314
DE X 8244416 1000 NAC 12_4 DE_X_8244416_1000 NAC_12_4 69534
DE X 8244416 1000 NAC 12_5 DE_X_8244416_1000 NAC_12_5 48632
DE X 8244416 1000 NAC 12_6 DE_X_8244416_1000 NAC_12_6 187771
DE X 8244416 1000 NAC 12_6_1 DE_X_8244416_1000 NAC_12_6_1 0
DE X 8244416 1000 NAC 12_6_2 DE_X_8244416_1000 NAC_12_6_2 0
DE X 8244416 1000 NAC 12_6_3 DE_X_8244416_1000 NAC_12_6_3 0
DE X 8541647 1000 NAC 11_1 DE_X_8541647_1000 NAC_11_1 155268
DE X 8541647 1000 NAC 11_1_C DE_X_8541647_1000 NAC_11_1_C 67644
DE X 8541647 1000 NAC 11_1_NC DE_X_8541647_1000 NAC_11_1_NC 7325
DE X 8541647 1000 NAC 11_1_NC_T DE_X_8541647_1000 NAC_11_1_NC_T 317114
DE X 8541647 1000 NAC 11_2 DE_X_8541647_1000 NAC_11_2 142605
DE X 8541647 1000 NAC 11_3 DE_X_8541647_1000 NAC_11_3 1241609
DE X 8541647 1000 NAC 11_4 DE_X_8541647_1000 NAC_11_4 4949123
DE X 8541647 1000 NAC 11_5 DE_X_8541647_1000 NAC_11_5 90188
DE X 8541647 1000 NAC 11_6 DE_X_8541647_1000 NAC_11_6 470134
DE X 8541647 1000 NAC 11_7 DE_X_8541647_1000 NAC_11_7 7655421
DE X 8541647 1000 NAC 11_7_1 DE_X_8541647_1000 NAC_11_7_1 82256
DE X 8541647 1000 NAC 12_1 DE_X_8541647_1000 NAC_12_1 1259674
DE X 8541647 1000 NAC 12_2 DE_X_8541647_1000 NAC_12_2 2988486
DE X 8541647 1000 NAC 12_3 DE_X_8541647_1000 NAC_12_3 1721419
DE X 8541647 1000 NAC 12_4 DE_X_8541647_1000 NAC_12_4 71941
DE X 8541647 1000 NAC 12_5 DE_X_8541647_1000 NAC_12_5 57350
DE X 8541647 1000 NAC 12_6 DE_X_8541647_1000 NAC_12_6 184307
DE X 8541647 1000 NAC 12_6_1 DE_X_8541647_1000 NAC_12_6_1 0
DE X 8541647 1000 NAC 12_6_2 DE_X_8541647_1000 NAC_12_6_2 0
DE X 8541647 1000 NAC 12_6_3 DE_X_8541647_1000 NAC_12_6_3 0
DE M 2018 1000 m3 ST_1_2_C DE_M_2018_1000 m3_ST_1_2_C 8385.16 ECEEU
DE M 2018 1000 m3 ST_1_2_C_1 DE_M_2018_1000 m3_ST_1_2_C_1 4973.653
DE M 2018 1000 m3 ST_1_2_C_1_1 DE_M_2018_1000 m3_ST_1_2_C_1_1 3463.464
DE M 2018 1000 m3 ST_1_2_C_2_1 DE_M_2018_1000 m3_ST_1_2_C_2_1 1510.189
DE M 2018 1000 m3 ST_1_2_C_2 DE_M_2018_1000 m3_ST_1_2_C_2 2859.954
DE M 2018 1000 m3 ST_1_2_C_1_2 DE_M_2018_1000 m3_ST_1_2_C_1_2 898.565
DE M 2018 1000 m3 ST_1_2_C_2_2 DE_M_2018_1000 m3_ST_1_2_C_2_2 1961.389
DE M 2018 1000 m3 ST_1_2_C_3 DE_M_2018_1000 m3_ST_1_2_C_3 542.254
DE M 2018 1000 m3 ST_1_2_C_1_3 DE_M_2018_1000 m3_ST_1_2_C_1_3 122.433
DE M 2018 1000 m3 ST_1_2_C_2_3 DE_M_2018_1000 m3_ST_1_2_C_2_3 419.821
DE M 2018 1000 m3 ST_1_2_NC DE_M_2018_1000 m3_ST_1_2_NC 524.695
DE M 2018 1000 m3 ST_1_2_NC_1 DE_M_2018_1000 m3_ST_1_2_NC_1 47.871
DE M 2018 1000 m3 ST_1_2_NC_1_1 DE_M_2018_1000 m3_ST_1_2_NC_1_1 110.193
DE M 2018 1000 m3 ST_1_2_NC_2_1 DE_M_2018_1000 m3_ST_1_2_NC_2_1 64.696
DE M 2018 1000 m3 ST_1_2_NC_2 DE_M_2018_1000 m3_ST_1_2_NC_2 0.019
DE M 2018 1000 m3 ST_1_2_NC_1_2 DE_M_2018_1000 m3_ST_1_2_NC_1_2 64.677
DE M 2018 1000 m3 ST_1_2_NC_2_2 DE_M_2018_1000 m3_ST_1_2_NC_2_2 67.083
DE M 2018 1000 m3 ST_1_2_NC_3 DE_M_2018_1000 m3_ST_1_2_NC_3 0.873
DE M 2018 1000 m3 ST_1_2_NC_1_3 DE_M_2018_1000 m3_ST_1_2_NC_1_3 5161.967
DE M 2018 1000 m3 ST_1_2_NC_2_3 DE_M_2018_1000 m3_ST_1_2_NC_2_3 3546.944
DE M 2018 1000 m3 ST_1_2_NC_4 DE_M_2018_1000 m3_ST_1_2_NC_4 1039.64
DE M 2018 1000 m3 ST_1_2_NC_5 DE_M_2018_1000 m3_ST_1_2_NC_5 391.92489
DE M 2018 1000 m3 ST_5_C DE_M_2018_1000 m3_ST_5_C 107.72789
DE M 2018 1000 m3 ST_5_C_1 DE_M_2018_1000 m3_ST_5_C_1 24.381
DE M 2018 1000 m3 ST_5_C_2 DE_M_2018_1000 m3_ST_5_C_2 3.646
DE M 2018 1000 m3 ST_5_NC DE_M_2018_1000 m3_ST_5_NC 1.206
DE M 2018 1000 m3 ST_5_NC_1 DE_M_2018_1000 m3_ST_5_NC_1 12.532
DE M 2018 1000 m3 ST_5_NC_2 DE_M_2018_1000 m3_ST_5_NC_2 19.339
DE M 2018 1000 m3 ST_5_NC_3 DE_M_2018_1000 m3_ST_5_NC_3 15.825
DE M 2018 1000 m3 ST_5_NC_4 DE_M_2018_1000 m3_ST_5_NC_4 0
DE M 2018 1000 m3 ST_5_NC_5 DE_M_2018_1000 m3_ST_5_NC_5 0
DE M 2018 1000 m3 ST_5_NC_6 DE_M_2018_1000 m3_ST_5_NC_6 0
DE M 2018 1000 m3 ST_5_NC_7 DE_M_2018_1000 m3_ST_5_NC_7 0
DE M 2018 1000 NAC ST_1_2_C DE_M_2018_1000 NAC_ST_1_2_C 476639
DE M 2018 1000 NAC ST_1_2_C_1 DE_M_2018_1000 NAC_ST_1_2_C_1 315721
DE M 2018 1000 NAC ST_1_2_C_1_1 DE_M_2018_1000 NAC_ST_1_2_C_1_1 249385
DE M 2018 1000 NAC ST_1_2_C_2_1 DE_M_2018_1000 NAC_ST_1_2_C_2_1 66336
DE M 2018 1000 NAC ST_1_2_C_2 DE_M_2018_1000 NAC_ST_1_2_C_2 130788
DE M 2018 1000 NAC ST_1_2_C_1_2 DE_M_2018_1000 NAC_ST_1_2_C_1_2 62282
DE M 2018 1000 NAC ST_1_2_C_2_2 DE_M_2018_1000 NAC_ST_1_2_C_2_2 68506
DE M 2018 1000 NAC ST_1_2_C_3 DE_M_2018_1000 NAC_ST_1_2_C_3 26601
DE M 2018 1000 NAC ST_1_2_C_1_3 DE_M_2018_1000 NAC_ST_1_2_C_1_3 8272
DE M 2018 1000 NAC ST_1_2_C_2_3 DE_M_2018_1000 NAC_ST_1_2_C_2_3 18329
DE M 2018 1000 NAC ST_1_2_NC DE_M_2018_1000 NAC_ST_1_2_NC 54087
DE M 2018 1000 NAC ST_1_2_NC_1 DE_M_2018_1000 NAC_ST_1_2_NC_1 12630
DE M 2018 1000 NAC ST_1_2_NC_1_1 DE_M_2018_1000 NAC_ST_1_2_NC_1_1 5131
DE M 2018 1000 NAC ST_1_2_NC_2_1 DE_M_2018_1000 NAC_ST_1_2_NC_2_1 3906
DE M 2018 1000 NAC ST_1_2_NC_2 DE_M_2018_1000 NAC_ST_1_2_NC_2 98
DE M 2018 1000 NAC ST_1_2_NC_1_2 DE_M_2018_1000 NAC_ST_1_2_NC_1_2 3808
DE M 2018 1000 NAC ST_1_2_NC_2_2 DE_M_2018_1000 NAC_ST_1_2_NC_2_2 2586
DE M 2018 1000 NAC ST_1_2_NC_3 DE_M_2018_1000 NAC_ST_1_2_NC_3 885
DE M 2018 1000 NAC ST_1_2_NC_1_3 DE_M_2018_1000 NAC_ST_1_2_NC_1_3 1104891
DE M 2018 1000 NAC ST_1_2_NC_2_3 DE_M_2018_1000 NAC_ST_1_2_NC_2_3 768601
DE M 2018 1000 NAC ST_1_2_NC_4 DE_M_2018_1000 NAC_ST_1_2_NC_4 175723
DE M 2018 1000 NAC ST_1_2_NC_5 DE_M_2018_1000 NAC_ST_1_2_NC_5 236875
DE M 2018 1000 NAC ST_5_C DE_M_2018_1000 NAC_ST_5_C 90462
DE M 2018 1000 NAC ST_5_C_1 DE_M_2018_1000 NAC_ST_5_C_1 10457
DE M 2018 1000 NAC ST_5_C_2 DE_M_2018_1000 NAC_ST_5_C_2 3189
DE M 2018 1000 NAC ST_5_NC DE_M_2018_1000 NAC_ST_5_NC 1056
DE M 2018 1000 NAC ST_5_NC_1 DE_M_2018_1000 NAC_ST_5_NC_1 6297
DE M 2018 1000 NAC ST_5_NC_2 DE_M_2018_1000 NAC_ST_5_NC_2 2800
DE M 2018 1000 NAC ST_5_NC_3 DE_M_2018_1000 NAC_ST_5_NC_3 2212
DE M 2018 1000 NAC ST_5_NC_4 DE_M_2018_1000 NAC_ST_5_NC_4 0
DE M 2018 1000 NAC ST_5_NC_5 DE_M_2018_1000 NAC_ST_5_NC_5 0
DE M 2018 1000 NAC ST_5_NC_6 DE_M_2018_1000 NAC_ST_5_NC_6 0
DE M 2018 1000 NAC ST_5_NC_7 DE_M_2018_1000 NAC_ST_5_NC_7 0
DE M 2019 1000 m3 ST_1_2_C DE_M_2019_1000 m3_ST_1_2_C 6842.766
DE M 2019 1000 m3 ST_1_2_C_1 DE_M_2019_1000 m3_ST_1_2_C_1 4783.655
DE M 2019 1000 m3 ST_1_2_C_1_1 DE_M_2019_1000 m3_ST_1_2_C_1_1 3655.795
DE M 2019 1000 m3 ST_1_2_C_2_1 DE_M_2019_1000 m3_ST_1_2_C_2_1 1127.86
DE M 2019 1000 m3 ST_1_2_C_2 DE_M_2019_1000 m3_ST_1_2_C_2 1658.705
DE M 2019 1000 m3 ST_1_2_C_1_2 DE_M_2019_1000 m3_ST_1_2_C_1_2 576.157
DE M 2019 1000 m3 ST_1_2_C_2_2 DE_M_2019_1000 m3_ST_1_2_C_2_2 1082.548
DE M 2019 1000 m3 ST_1_2_C_3 DE_M_2019_1000 m3_ST_1_2_C_3 380.037
DE M 2019 1000 m3 ST_1_2_C_1_3 DE_M_2019_1000 m3_ST_1_2_C_1_3 66.331
DE M 2019 1000 m3 ST_1_2_C_2_3 DE_M_2019_1000 m3_ST_1_2_C_2_3 313.706
DE M 2019 1000 m3 ST_1_2_NC DE_M_2019_1000 m3_ST_1_2_NC 448.734
DE M 2019 1000 m3 ST_1_2_NC_1 DE_M_2019_1000 m3_ST_1_2_NC_1 41.672
DE M 2019 1000 m3 ST_1_2_NC_1_1 DE_M_2019_1000 m3_ST_1_2_NC_1_1 88.167
DE M 2019 1000 m3 ST_1_2_NC_2_1 DE_M_2019_1000 m3_ST_1_2_NC_2_1 24.566
DE M 2019 1000 m3 ST_1_2_NC_2 DE_M_2019_1000 m3_ST_1_2_NC_2 0.013
DE M 2019 1000 m3 ST_1_2_NC_1_2 DE_M_2019_1000 m3_ST_1_2_NC_1_2 24.553
DE M 2019 1000 m3 ST_1_2_NC_2_2 DE_M_2019_1000 m3_ST_1_2_NC_2_2 31.053
DE M 2019 1000 m3 ST_1_2_NC_3 DE_M_2019_1000 m3_ST_1_2_NC_3 1.42
DE M 2019 1000 m3 ST_1_2_NC_1_3 DE_M_2019_1000 m3_ST_1_2_NC_1_3 4838.013
DE M 2019 1000 m3 ST_1_2_NC_2_3 DE_M_2019_1000 m3_ST_1_2_NC_2_3 3400.215
DE M 2019 1000 m3 ST_1_2_NC_4 DE_M_2019_1000 m3_ST_1_2_NC_4 865.872
DE M 2019 1000 m3 ST_1_2_NC_5 DE_M_2019_1000 m3_ST_1_2_NC_5 410.31494
DE M 2019 1000 m3 ST_5_C DE_M_2019_1000 m3_ST_5_C 116.14594
DE M 2019 1000 m3 ST_5_C_1 DE_M_2019_1000 m3_ST_5_C_1 21.415
DE M 2019 1000 m3 ST_5_C_2 DE_M_2019_1000 m3_ST_5_C_2 3.683
DE M 2019 1000 m3 ST_5_NC DE_M_2019_1000 m3_ST_5_NC 0.908
DE M 2019 1000 m3 ST_5_NC_1 DE_M_2019_1000 m3_ST_5_NC_1 11.445
DE M 2019 1000 m3 ST_5_NC_2 DE_M_2019_1000 m3_ST_5_NC_2 13.963
DE M 2019 1000 m3 ST_5_NC_3 DE_M_2019_1000 m3_ST_5_NC_3 13.701
DE M 2019 1000 m3 ST_5_NC_4 DE_M_2019_1000 m3_ST_5_NC_4 0
DE M 2019 1000 m3 ST_5_NC_5 DE_M_2019_1000 m3_ST_5_NC_5 0
DE M 2019 1000 m3 ST_5_NC_6 DE_M_2019_1000 m3_ST_5_NC_6 0
DE M 2019 1000 m3 ST_5_NC_7 DE_M_2019_1000 m3_ST_5_NC_7 0
DE M 2019 1000 NAC ST_1_2_C DE_M_2019_1000 NAC_ST_1_2_C 373306
DE M 2019 1000 NAC ST_1_2_C_1 DE_M_2019_1000 NAC_ST_1_2_C_1 266779
DE M 2019 1000 NAC ST_1_2_C_1_1 DE_M_2019_1000 NAC_ST_1_2_C_1_1 214048
DE M 2019 1000 NAC ST_1_2_C_2_1 DE_M_2019_1000 NAC_ST_1_2_C_2_1 52731
DE M 2019 1000 NAC ST_1_2_C_2 DE_M_2019_1000 NAC_ST_1_2_C_2 84117
DE M 2019 1000 NAC ST_1_2_C_1_2 DE_M_2019_1000 NAC_ST_1_2_C_1_2 43324
DE M 2019 1000 NAC ST_1_2_C_2_2 DE_M_2019_1000 NAC_ST_1_2_C_2_2 40793
DE M 2019 1000 NAC ST_1_2_C_3 DE_M_2019_1000 NAC_ST_1_2_C_3 19257
DE M 2019 1000 NAC ST_1_2_C_1_3 DE_M_2019_1000 NAC_ST_1_2_C_1_3 4186
DE M 2019 1000 NAC ST_1_2_C_2_3 DE_M_2019_1000 NAC_ST_1_2_C_2_3 15071
DE M 2019 1000 NAC ST_1_2_NC DE_M_2019_1000 NAC_ST_1_2_NC 49392
DE M 2019 1000 NAC ST_1_2_NC_1 DE_M_2019_1000 NAC_ST_1_2_NC_1 11194
DE M 2019 1000 NAC ST_1_2_NC_1_1 DE_M_2019_1000 NAC_ST_1_2_NC_1_1 4465
DE M 2019 1000 NAC ST_1_2_NC_2_1 DE_M_2019_1000 NAC_ST_1_2_NC_2_1 1770
DE M 2019 1000 NAC ST_1_2_NC_2 DE_M_2019_1000 NAC_ST_1_2_NC_2 11
DE M 2019 1000 NAC ST_1_2_NC_1_2 DE_M_2019_1000 NAC_ST_1_2_NC_1_2 1759
DE M 2019 1000 NAC ST_1_2_NC_2_2 DE_M_2019_1000 NAC_ST_1_2_NC_2_2 1111
DE M 2019 1000 NAC ST_1_2_NC_3 DE_M_2019_1000 NAC_ST_1_2_NC_3 1373
DE M 2019 1000 NAC ST_1_2_NC_1_3 DE_M_2019_1000 NAC_ST_1_2_NC_1_3 996972
DE M 2019 1000 NAC ST_1_2_NC_2_3 DE_M_2019_1000 NAC_ST_1_2_NC_2_3 690736
DE M 2019 1000 NAC ST_1_2_NC_4 DE_M_2019_1000 NAC_ST_1_2_NC_4 140852
DE M 2019 1000 NAC ST_1_2_NC_5 DE_M_2019_1000 NAC_ST_1_2_NC_5 216211
DE M 2019 1000 NAC ST_5_C DE_M_2019_1000 NAC_ST_5_C 81473
DE M 2019 1000 NAC ST_5_C_1 DE_M_2019_1000 NAC_ST_5_C_1 8961
DE M 2019 1000 NAC ST_5_C_2 DE_M_2019_1000 NAC_ST_5_C_2 2870
DE M 2019 1000 NAC ST_5_NC DE_M_2019_1000 NAC_ST_5_NC 851
DE M 2019 1000 NAC ST_5_NC_1 DE_M_2019_1000 NAC_ST_5_NC_1 5496
DE M 2019 1000 NAC ST_5_NC_2 DE_M_2019_1000 NAC_ST_5_NC_2 2145
DE M 2019 1000 NAC ST_5_NC_3 DE_M_2019_1000 NAC_ST_5_NC_3 2170
DE M 2019 1000 NAC ST_5_NC_4 DE_M_2019_1000 NAC_ST_5_NC_4 0
DE M 2019 1000 NAC ST_5_NC_5 DE_M_2019_1000 NAC_ST_5_NC_5 0
DE M 2019 1000 NAC ST_5_NC_6 DE_M_2019_1000 NAC_ST_5_NC_6 0
DE M 2019 1000 NAC ST_5_NC_7 DE_M_2019_1000 NAC_ST_5_NC_7 0
DE X 2018 1000 m3 ST_1_2_C DE_X_2018_1000 m3_ST_1_2_C 3899.734
DE X 2018 1000 m3 ST_1_2_C_1 DE_X_2018_1000 m3_ST_1_2_C_1 3008.209
DE X 2018 1000 m3 ST_1_2_C_1_1 DE_X_2018_1000 m3_ST_1_2_C_1_1 2245.02
DE X 2018 1000 m3 ST_1_2_C_2_1 DE_X_2018_1000 m3_ST_1_2_C_2_1 763.189
DE X 2018 1000 m3 ST_1_2_C_2 DE_X_2018_1000 m3_ST_1_2_C_2 579.423
DE X 2018 1000 m3 ST_1_2_C_1_2 DE_X_2018_1000 m3_ST_1_2_C_1_2 353.453
DE X 2018 1000 m3 ST_1_2_C_2_2 DE_X_2018_1000 m3_ST_1_2_C_2_2 225.97
DE X 2018 1000 m3 ST_1_2_C_3 DE_X_2018_1000 m3_ST_1_2_C_3 305.754
DE X 2018 1000 m3 ST_1_2_C_1_3 DE_X_2018_1000 m3_ST_1_2_C_1_3 203.122
DE X 2018 1000 m3 ST_1_2_C_2_3 DE_X_2018_1000 m3_ST_1_2_C_2_3 102.632
DE X 2018 1000 m3 ST_1_2_NC DE_X_2018_1000 m3_ST_1_2_NC 1463.947
DE X 2018 1000 m3 ST_1_2_NC_1 DE_X_2018_1000 m3_ST_1_2_NC_1 253.843
DE X 2018 1000 m3 ST_1_2_NC_1_1 DE_X_2018_1000 m3_ST_1_2_NC_1_1 832.342
DE X 2018 1000 m3 ST_1_2_NC_2_1 DE_X_2018_1000 m3_ST_1_2_NC_2_1 59.976
DE X 2018 1000 m3 ST_1_2_NC_2 DE_X_2018_1000 m3_ST_1_2_NC_2 0.094
DE X 2018 1000 m3 ST_1_2_NC_1_2 DE_X_2018_1000 m3_ST_1_2_NC_1_2 59.882
DE X 2018 1000 m3 ST_1_2_NC_2_2 DE_X_2018_1000 m3_ST_1_2_NC_2_2 24.02
DE X 2018 1000 m3 ST_1_2_NC_3 DE_X_2018_1000 m3_ST_1_2_NC_3 0
DE X 2018 1000 m3 ST_1_2_NC_1_3 DE_X_2018_1000 m3_ST_1_2_NC_1_3 8263.498
DE X 2018 1000 m3 ST_1_2_NC_2_3 DE_X_2018_1000 m3_ST_1_2_NC_2_3 5539.075
DE X 2018 1000 m3 ST_1_2_NC_4 DE_X_2018_1000 m3_ST_1_2_NC_4 1923.957
DE X 2018 1000 m3 ST_1_2_NC_5 DE_X_2018_1000 m3_ST_1_2_NC_5 779.517215
DE X 2018 1000 m3 ST_5_C DE_X_2018_1000 m3_ST_5_C 134.497215
DE X 2018 1000 m3 ST_5_C_1 DE_X_2018_1000 m3_ST_5_C_1 532.865
DE X 2018 1000 m3 ST_5_C_2 DE_X_2018_1000 m3_ST_5_C_2 2.628
DE X 2018 1000 m3 ST_5_NC DE_X_2018_1000 m3_ST_5_NC 0.491
DE X 2018 1000 m3 ST_5_NC_1 DE_X_2018_1000 m3_ST_5_NC_1 32.884
DE X 2018 1000 m3 ST_5_NC_2 DE_X_2018_1000 m3_ST_5_NC_2 3.503
DE X 2018 1000 m3 ST_5_NC_3 DE_X_2018_1000 m3_ST_5_NC_3 1.316
DE X 2018 1000 m3 ST_5_NC_4 DE_X_2018_1000 m3_ST_5_NC_4 0
DE X 2018 1000 m3 ST_5_NC_5 DE_X_2018_1000 m3_ST_5_NC_5 0
DE X 2018 1000 m3 ST_5_NC_6 DE_X_2018_1000 m3_ST_5_NC_6 0
DE X 2018 1000 m3 ST_5_NC_7 DE_X_2018_1000 m3_ST_5_NC_7 0
DE X 2018 1000 NAC ST_1_2_C DE_X_2018_1000 NAC_ST_1_2_C 277157
DE X 2018 1000 NAC ST_1_2_C_1 DE_X_2018_1000 NAC_ST_1_2_C_1 216913
DE X 2018 1000 NAC ST_1_2_C_1_1 DE_X_2018_1000 NAC_ST_1_2_C_1_1 169593
DE X 2018 1000 NAC ST_1_2_C_2_1 DE_X_2018_1000 NAC_ST_1_2_C_2_1 47320
DE X 2018 1000 NAC ST_1_2_C_2 DE_X_2018_1000 NAC_ST_1_2_C_2 36521
DE X 2018 1000 NAC ST_1_2_C_1_2 DE_X_2018_1000 NAC_ST_1_2_C_1_2 24837
DE X 2018 1000 NAC ST_1_2_C_2_2 DE_X_2018_1000 NAC_ST_1_2_C_2_2 11684
DE X 2018 1000 NAC ST_1_2_C_3 DE_X_2018_1000 NAC_ST_1_2_C_3 14533
DE X 2018 1000 NAC ST_1_2_C_1_3 DE_X_2018_1000 NAC_ST_1_2_C_1_3 8272
DE X 2018 1000 NAC ST_1_2_C_2_3 DE_X_2018_1000 NAC_ST_1_2_C_2_3 6261
DE X 2018 1000 NAC ST_1_2_NC DE_X_2018_1000 NAC_ST_1_2_NC 183391
DE X 2018 1000 NAC ST_1_2_NC_1 DE_X_2018_1000 NAC_ST_1_2_NC_1 45997
DE X 2018 1000 NAC ST_1_2_NC_1_1 DE_X_2018_1000 NAC_ST_1_2_NC_1_1 95196
DE X 2018 1000 NAC ST_1_2_NC_2_1 DE_X_2018_1000 NAC_ST_1_2_NC_2_1 3692
DE X 2018 1000 NAC ST_1_2_NC_2 DE_X_2018_1000 NAC_ST_1_2_NC_2 30
DE X 2018 1000 NAC ST_1_2_NC_1_2 DE_X_2018_1000 NAC_ST_1_2_NC_1_2 3662
DE X 2018 1000 NAC ST_1_2_NC_2_2 DE_X_2018_1000 NAC_ST_1_2_NC_2_2 1526
DE X 2018 1000 NAC ST_1_2_NC_3 DE_X_2018_1000 NAC_ST_1_2_NC_3 1
DE X 2018 1000 NAC ST_1_2_NC_1_3 DE_X_2018_1000 NAC_ST_1_2_NC_1_3 1760906
DE X 2018 1000 NAC ST_1_2_NC_2_3 DE_X_2018_1000 NAC_ST_1_2_NC_2_3 1191293
DE X 2018 1000 NAC ST_1_2_NC_4 DE_X_2018_1000 NAC_ST_1_2_NC_4 396260
DE X 2018 1000 NAC ST_1_2_NC_5 DE_X_2018_1000 NAC_ST_1_2_NC_5 387058
DE X 2018 1000 NAC ST_5_C DE_X_2018_1000 NAC_ST_5_C 93780
DE X 2018 1000 NAC ST_5_C_1 DE_X_2018_1000 NAC_ST_5_C_1 209415
DE X 2018 1000 NAC ST_5_C_2 DE_X_2018_1000 NAC_ST_5_C_2 2179
DE X 2018 1000 NAC ST_5_NC DE_X_2018_1000 NAC_ST_5_NC 443
DE X 2018 1000 NAC ST_5_NC_1 DE_X_2018_1000 NAC_ST_5_NC_1 12524
DE X 2018 1000 NAC ST_5_NC_2 DE_X_2018_1000 NAC_ST_5_NC_2 746
DE X 2018 1000 NAC ST_5_NC_3 DE_X_2018_1000 NAC_ST_5_NC_3 283
DE X 2018 1000 NAC ST_5_NC_4 DE_X_2018_1000 NAC_ST_5_NC_4 0
DE X 2018 1000 NAC ST_5_NC_5 DE_X_2018_1000 NAC_ST_5_NC_5 0
DE X 2018 1000 NAC ST_5_NC_6 DE_X_2018_1000 NAC_ST_5_NC_6 0
DE X 2018 1000 NAC ST_5_NC_7 DE_X_2018_1000 NAC_ST_5_NC_7 0
DE X 2019 1000 m3 ST_1_2_C DE_X_2019_1000 m3_ST_1_2_C 7210.63
DE X 2019 1000 m3 ST_1_2_C_1 DE_X_2019_1000 m3_ST_1_2_C_1 6217.429
DE X 2019 1000 m3 ST_1_2_C_1_1 DE_X_2019_1000 m3_ST_1_2_C_1_1 4735.151
DE X 2019 1000 m3 ST_1_2_C_2_1 DE_X_2019_1000 m3_ST_1_2_C_2_1 1482.278
DE X 2019 1000 m3 ST_1_2_C_2 DE_X_2019_1000 m3_ST_1_2_C_2 627.284
DE X 2019 1000 m3 ST_1_2_C_1_2 DE_X_2019_1000 m3_ST_1_2_C_1_2 304.307
DE X 2019 1000 m3 ST_1_2_C_2_2 DE_X_2019_1000 m3_ST_1_2_C_2_2 322.977
DE X 2019 1000 m3 ST_1_2_C_3 DE_X_2019_1000 m3_ST_1_2_C_3 352.826
DE X 2019 1000 m3 ST_1_2_C_1_3 DE_X_2019_1000 m3_ST_1_2_C_1_3 223.245
DE X 2019 1000 m3 ST_1_2_C_2_3 DE_X_2019_1000 m3_ST_1_2_C_2_3 129.581
DE X 2019 1000 m3 ST_1_2_NC DE_X_2019_1000 m3_ST_1_2_NC 1420.01
DE X 2019 1000 m3 ST_1_2_NC_1 DE_X_2019_1000 m3_ST_1_2_NC_1 203.807
DE X 2019 1000 m3 ST_1_2_NC_1_1 DE_X_2019_1000 m3_ST_1_2_NC_1_1 761.393
DE X 2019 1000 m3 ST_1_2_NC_2_1 DE_X_2019_1000 m3_ST_1_2_NC_2_1 31.716
DE X 2019 1000 m3 ST_1_2_NC_2 DE_X_2019_1000 m3_ST_1_2_NC_2 0.815
DE X 2019 1000 m3 ST_1_2_NC_1_2 DE_X_2019_1000 m3_ST_1_2_NC_1_2 30.901
DE X 2019 1000 m3 ST_1_2_NC_2_2 DE_X_2019_1000 m3_ST_1_2_NC_2_2 75.979
DE X 2019 1000 m3 ST_1_2_NC_3 DE_X_2019_1000 m3_ST_1_2_NC_3 0.041
DE X 2019 1000 m3 ST_1_2_NC_1_3 DE_X_2019_1000 m3_ST_1_2_NC_1_3 8867.019
DE X 2019 1000 m3 ST_1_2_NC_2_3 DE_X_2019_1000 m3_ST_1_2_NC_2_3 6261.335
DE X 2019 1000 m3 ST_1_2_NC_4 DE_X_2019_1000 m3_ST_1_2_NC_4 1697.758
DE X 2019 1000 m3 ST_1_2_NC_5 DE_X_2019_1000 m3_ST_1_2_NC_5 764.35109
DE X 2019 1000 m3 ST_5_C DE_X_2019_1000 m3_ST_5_C 119.20309
DE X 2019 1000 m3 ST_5_C_1 DE_X_2019_1000 m3_ST_5_C_1 528.214
DE X 2019 1000 m3 ST_5_C_2 DE_X_2019_1000 m3_ST_5_C_2 3.95
DE X 2019 1000 m3 ST_5_NC DE_X_2019_1000 m3_ST_5_NC 0.558
DE X 2019 1000 m3 ST_5_NC_1 DE_X_2019_1000 m3_ST_5_NC_1 33.133
DE X 2019 1000 m3 ST_5_NC_2 DE_X_2019_1000 m3_ST_5_NC_2 3.557
DE X 2019 1000 m3 ST_5_NC_3 DE_X_2019_1000 m3_ST_5_NC_3 1.476
DE X 2019 1000 m3 ST_5_NC_4 DE_X_2019_1000 m3_ST_5_NC_4 0
DE X 2019 1000 m3 ST_5_NC_5 DE_X_2019_1000 m3_ST_5_NC_5 0
DE X 2019 1000 m3 ST_5_NC_6 DE_X_2019_1000 m3_ST_5_NC_6 0
DE X 2019 1000 m3 ST_5_NC_7 DE_X_2019_1000 m3_ST_5_NC_7 0
DE X 2019 1000 NAC ST_1_2_C DE_X_2019_1000 NAC_ST_1_2_C 501856
DE X 2019 1000 NAC ST_1_2_C_1 DE_X_2019_1000 NAC_ST_1_2_C_1 441037
DE X 2019 1000 NAC ST_1_2_C_1_1 DE_X_2019_1000 NAC_ST_1_2_C_1_1 368678
DE X 2019 1000 NAC ST_1_2_C_2_1 DE_X_2019_1000 NAC_ST_1_2_C_2_1 72359
DE X 2019 1000 NAC ST_1_2_C_2 DE_X_2019_1000 NAC_ST_1_2_C_2 34089
DE X 2019 1000 NAC ST_1_2_C_1_2 DE_X_2019_1000 NAC_ST_1_2_C_1_2 17998
DE X 2019 1000 NAC ST_1_2_C_2_2 DE_X_2019_1000 NAC_ST_1_2_C_2_2 16091
DE X 2019 1000 NAC ST_1_2_C_3 DE_X_2019_1000 NAC_ST_1_2_C_3 25034
DE X 2019 1000 NAC ST_1_2_C_1_3 DE_X_2019_1000 NAC_ST_1_2_C_1_3 15715
DE X 2019 1000 NAC ST_1_2_C_2_3 DE_X_2019_1000 NAC_ST_1_2_C_2_3 9319
DE X 2019 1000 NAC ST_1_2_NC DE_X_2019_1000 NAC_ST_1_2_NC 171577
DE X 2019 1000 NAC ST_1_2_NC_1 DE_X_2019_1000 NAC_ST_1_2_NC_1 35860
DE X 2019 1000 NAC ST_1_2_NC_1_1 DE_X_2019_1000 NAC_ST_1_2_NC_1_1 83443
DE X 2019 1000 NAC ST_1_2_NC_2_1 DE_X_2019_1000 NAC_ST_1_2_NC_2_1 1589
DE X 2019 1000 NAC ST_1_2_NC_2 DE_X_2019_1000 NAC_ST_1_2_NC_2 48
DE X 2019 1000 NAC ST_1_2_NC_1_2 DE_X_2019_1000 NAC_ST_1_2_NC_1_2 1541
DE X 2019 1000 NAC ST_1_2_NC_2_2 DE_X_2019_1000 NAC_ST_1_2_NC_2_2 4194
DE X 2019 1000 NAC ST_1_2_NC_3 DE_X_2019_1000 NAC_ST_1_2_NC_3 51
DE X 2019 1000 NAC ST_1_2_NC_1_3 DE_X_2019_1000 NAC_ST_1_2_NC_1_3 1692360
DE X 2019 1000 NAC ST_1_2_NC_2_3 DE_X_2019_1000 NAC_ST_1_2_NC_2_3 1202815
DE X 2019 1000 NAC ST_1_2_NC_4 DE_X_2019_1000 NAC_ST_1_2_NC_4 316575
DE X 2019 1000 NAC ST_1_2_NC_5 DE_X_2019_1000 NAC_ST_1_2_NC_5 382255
DE X 2019 1000 NAC ST_5_C DE_X_2019_1000 NAC_ST_5_C 85539
DE X 2019 1000 NAC ST_5_C_1 DE_X_2019_1000 NAC_ST_5_C_1 211833
DE X 2019 1000 NAC ST_5_C_2 DE_X_2019_1000 NAC_ST_5_C_2 3175
DE X 2019 1000 NAC ST_5_NC DE_X_2019_1000 NAC_ST_5_NC 433
DE X 2019 1000 NAC ST_5_NC_1 DE_X_2019_1000 NAC_ST_5_NC_1 11585
DE X 2019 1000 NAC ST_5_NC_2 DE_X_2019_1000 NAC_ST_5_NC_2 789
DE X 2019 1000 NAC ST_5_NC_3 DE_X_2019_1000 NAC_ST_5_NC_3 387
DE X 2019 1000 NAC ST_5_NC_4 DE_X_2019_1000 NAC_ST_5_NC_4 0
DE X 2019 1000 NAC ST_5_NC_5 DE_X_2019_1000 NAC_ST_5_NC_5 0
DE X 2019 1000 NAC ST_5_NC_6 DE_X_2019_1000 NAC_ST_5_NC_6 0
DE X 2019 1000 NAC ST_5_NC_7 DE_X_2019_1000 NAC_ST_5_NC_7 0
DE EX_M 2018 1000 m3 1 DE_EX_M_2018_1000 m3_1 875.541 EU1
DE EX_M 2018 1000 m3 1_1 DE_EX_M_2018_1000 m3_1_1 149.719
DE EX_M 2018 1000 m3 1_2 DE_EX_M_2018_1000 m3_1_2 14.557
DE EX_M 2018 1000 m3 1_2_C DE_EX_M_2018_1000 m3_1_2_C 135.162
DE EX_M 2018 1000 m3 1_2_NC DE_EX_M_2018_1000 m3_1_2_NC 725.822
DE EX_M 2018 1000 m3 1_2_NC_T DE_EX_M_2018_1000 m3_1_2_NC_T 650.634
DE EX_M 2018 1000 mt 2 DE_EX_M_2018_1000 mt_2 75.188
DE EX_M 2018 1000 m3 3 DE_EX_M_2018_1000 m3_3 7.847
DE EX_M 2018 1000 m3 3_1 DE_EX_M_2018_1000 m3_3_1 103.798
DE EX_M 2018 1000 m3 3_2 DE_EX_M_2018_1000 m3_3_2 30.455
DE EX_M 2018 1000 mt 4 DE_EX_M_2018_1000 mt_4 26.715
DE EX_M 2018 1000 mt 4_1 DE_EX_M_2018_1000 mt_4_1 3.74
DE EX_M 2018 1000 mt 4_2 DE_EX_M_2018_1000 mt_4_2 159.341
DE EX_M 2018 1000 m3 5 DE_EX_M_2018_1000 m3_5 190.61
DE EX_M 2018 1000 m3 5_C DE_EX_M_2018_1000 m3_5_C 48.54
DE EX_M 2018 1000 m3 5_NC DE_EX_M_2018_1000 m3_5_NC 142.07
DE EX_M 2018 1000 m3 5_NC_T DE_EX_M_2018_1000 m3_5_NC_T 1941.111
DE EX_M 2018 1000 m3 6 DE_EX_M_2018_1000 m3_6 1760.231
DE EX_M 2018 1000 m3 6_1 DE_EX_M_2018_1000 m3_6_1 180.88
DE EX_M 2018 1000 m3 6_1_C DE_EX_M_2018_1000 m3_6_1_C 65.696
DE EX_M 2018 1000 m3 6_1_NC DE_EX_M_2018_1000 m3_6_1_NC 37.966
DE EX_M 2018 1000 m3 6_1_NC_T DE_EX_M_2018_1000 m3_6_1_NC_T 4.896
DE EX_M 2018 1000 m3 6_2 DE_EX_M_2018_1000 m3_6_2 33.07
DE EX_M 2018 1000 m3 6_2_C DE_EX_M_2018_1000 m3_6_2_C 7.918
DE EX_M 2018 1000 m3 6_2_NC DE_EX_M_2018_1000 m3_6_2_NC 1233.826
DE EX_M 2018 1000 m3 6_2_NC_T DE_EX_M_2018_1000 m3_6_2_NC_T 790.09
DE EX_M 2018 1000 m3 6_3 DE_EX_M_2018_1000 m3_6_3 340.198
DE EX_M 2018 1000 m3 6_3_1 DE_EX_M_2018_1000 m3_6_3_1 449.892
DE EX_M 2018 1000 m3 6_4 DE_EX_M_2018_1000 m3_6_4 45.567
DE EX_M 2018 1000 m3 6_4_1 DE_EX_M_2018_1000 m3_6_4_1 208.254
DE EX_M 2018 1000 m3 6_4_2 DE_EX_M_2018_1000 m3_6_4_2 6.821
DE EX_M 2018 1000 m3 6_4_3 DE_EX_M_2018_1000 m3_6_4_3 235.482
DE EX_M 2018 1000 mt 7 DE_EX_M_2018_1000 mt_7 23.43
DE EX_M 2018 1000 mt 7_1 DE_EX_M_2018_1000 mt_7_1 133.723
DE EX_M 2018 1000 mt 7_2 DE_EX_M_2018_1000 mt_7_2 78.329
DE EX_M 2018 1000 mt 7_3 DE_EX_M_2018_1000 mt_7_3 2068.4226717618
DE EX_M 2018 1000 mt 7_3_1 DE_EX_M_2018_1000 mt_7_3_1 45.7982329002
DE EX_M 2018 1000 mt 7_3_2 DE_EX_M_2018_1000 mt_7_3_2 1897.8635775914
DE EX_M 2018 1000 mt 7_3_3 DE_EX_M_2018_1000 mt_7_3_3 1870.6234195528
DE EX_M 2018 1000 mt 7_3_4 DE_EX_M_2018_1000 mt_7_3_4 1855.5524376522
DE EX_M 2018 1000 mt 7_4 DE_EX_M_2018_1000 mt_7_4 27.7386597456
DE EX_M 2018 1000 mt 8 DE_EX_M_2018_1000 mt_8 125.8356899609
DE EX_M 2018 1000 mt 8_1 DE_EX_M_2018_1000 mt_8_1 84.7395045071
DE EX_M 2018 1000 mt 8_2 DE_EX_M_2018_1000 mt_8_2 8.0123812874
DE EX_M 2018 1000 mt 9 DE_EX_M_2018_1000 mt_9 86.9708169796
DE EX_M 2018 1000 mt 10 DE_EX_M_2018_1000 mt_10 435.2704968825
DE EX_M 2018 1000 mt 10_1 DE_EX_M_2018_1000 mt_10_1 1200.214
DE EX_M 2018 1000 mt 10_1_1 DE_EX_M_2018_1000 mt_10_1_1 570.4160609681
DE EX_M 2018 1000 mt 10_1_2 DE_EX_M_2018_1000 mt_10_1_2 90.3082565265
DE EX_M 2018 1000 mt 10_1_3 DE_EX_M_2018_1000 mt_10_1_3 74.0588523376
DE EX_M 2018 1000 mt 10_1_4 DE_EX_M_2018_1000 mt_10_1_4 146.4469473992
DE EX_M 2018 1000 mt 10_2 DE_EX_M_2018_1000 mt_10_2 259.6020047047
DE EX_M 2018 1000 mt 10_3 DE_EX_M_2018_1000 mt_10_3 22.3922098478
DE EX_M 2018 1000 mt 10_3_1 DE_EX_M_2018_1000 mt_10_3_1 597.1157478184
DE EX_M 2018 1000 mt 10_3_2 DE_EX_M_2018_1000 mt_10_3_2 304.940150546
DE EX_M 2018 1000 mt 10_3_3 DE_EX_M_2018_1000 mt_10_3_3 157.9166262765
DE EX_M 2018 1000 mt 10_3_4 DE_EX_M_2018_1000 mt_10_3_4 112.9107392041
DE EX_M 2018 1000 mt 10_4 DE_EX_M_2018_1000 mt_10_4 21.3482317918
DE EX_M 2018 1000 NAC 1 DE_EX_M_2018_1000 NAC_1 84835
DE EX_M 2018 1000 NAC 1_1 DE_EX_M_2018_1000 NAC_1_1 16040
DE EX_M 2018 1000 NAC 1_2 DE_EX_M_2018_1000 NAC_1_2 1547
DE EX_M 2018 1000 NAC 1_2_C DE_EX_M_2018_1000 NAC_1_2_C 14493
DE EX_M 2018 1000 NAC 1_2_NC DE_EX_M_2018_1000 NAC_1_2_NC 68795
DE EX_M 2018 1000 NAC 1_2_NC_T DE_EX_M_2018_1000 NAC_1_2_NC_T 49166
DE EX_M 2018 1000 NAC 2 DE_EX_M_2018_1000 NAC_2 19629
DE EX_M 2018 1000 NAC 3 DE_EX_M_2018_1000 NAC_3 4008
DE EX_M 2018 1000 NAC 3_1 DE_EX_M_2018_1000 NAC_3_1 48727
DE EX_M 2018 1000 NAC 3_2 DE_EX_M_2018_1000 NAC_3_2 981
DE EX_M 2018 1000 NAC 4 DE_EX_M_2018_1000 NAC_4 819
DE EX_M 2018 1000 NAC 4_1 DE_EX_M_2018_1000 NAC_4_1 162
DE EX_M 2018 1000 NAC 4_2 DE_EX_M_2018_1000 NAC_4_2 3555
DE EX_M 2018 1000 NAC 5 DE_EX_M_2018_1000 NAC_5 26511
DE EX_M 2018 1000 NAC 5_C DE_EX_M_2018_1000 NAC_5_C 6592
DE EX_M 2018 1000 NAC 5_NC DE_EX_M_2018_1000 NAC_5_NC 19919
DE EX_M 2018 1000 NAC 5_NC_T DE_EX_M_2018_1000 NAC_5_NC_T 446339
DE EX_M 2018 1000 NAC 6 DE_EX_M_2018_1000 NAC_6 324449
DE EX_M 2018 1000 NAC 6_1 DE_EX_M_2018_1000 NAC_6_1 121890
DE EX_M 2018 1000 NAC 6_1_C DE_EX_M_2018_1000 NAC_6_1_C 60411
DE EX_M 2018 1000 NAC 6_1_NC DE_EX_M_2018_1000 NAC_6_1_NC 51040
DE EX_M 2018 1000 NAC 6_1_NC_T DE_EX_M_2018_1000 NAC_6_1_NC_T 7520
DE EX_M 2018 1000 NAC 6_2 DE_EX_M_2018_1000 NAC_6_2 43520
DE EX_M 2018 1000 NAC 6_2_C DE_EX_M_2018_1000 NAC_6_2_C 7217
DE EX_M 2018 1000 NAC 6_2_NC DE_EX_M_2018_1000 NAC_6_2_NC 466284
DE EX_M 2018 1000 NAC 6_2_NC_T DE_EX_M_2018_1000 NAC_6_2_NC_T 312476
DE EX_M 2018 1000 NAC 6_3 DE_EX_M_2018_1000 NAC_6_3 99323
DE EX_M 2018 1000 NAC 6_3_1 DE_EX_M_2018_1000 NAC_6_3_1 213153
DE EX_M 2018 1000 NAC 6_4 DE_EX_M_2018_1000 NAC_6_4 29425
DE EX_M 2018 1000 NAC 6_4_1 DE_EX_M_2018_1000 NAC_6_4_1 57046
DE EX_M 2018 1000 NAC 6_4_2 DE_EX_M_2018_1000 NAC_6_4_2 1452
DE EX_M 2018 1000 NAC 6_4_3 DE_EX_M_2018_1000 NAC_6_4_3 96762
DE EX_M 2018 1000 NAC 7 DE_EX_M_2018_1000 NAC_7 17953
DE EX_M 2018 1000 NAC 7_1 DE_EX_M_2018_1000 NAC_7_1 68865
DE EX_M 2018 1000 NAC 7_2 DE_EX_M_2018_1000 NAC_7_2 9944
DE EX_M 2018 1000 NAC 7_3 DE_EX_M_2018_1000 NAC_7_3 1375292.84070408
DE EX_M 2018 1000 NAC 7_3_1 DE_EX_M_2018_1000 NAC_7_3_1 28887.6482747418
DE EX_M 2018 1000 NAC 7_3_2 DE_EX_M_2018_1000 NAC_7_3_2 1202653
DE EX_M 2018 1000 NAC 7_3_3 DE_EX_M_2018_1000 NAC_7_3_3 1171663
DE EX_M 2018 1000 NAC 7_3_4 DE_EX_M_2018_1000 NAC_7_3_4 1160345
DE EX_M 2018 1000 NAC 7_4 DE_EX_M_2018_1000 NAC_7_4 30990
DE EX_M 2018 1000 NAC 8 DE_EX_M_2018_1000 NAC_8 139485
DE EX_M 2018 1000 NAC 8_1 DE_EX_M_2018_1000 NAC_8_1 19730.8673271288
DE EX_M 2018 1000 NAC 8_2 DE_EX_M_2018_1000 NAC_8_2 15458.646097299
DE EX_M 2018 1000 NAC 9 DE_EX_M_2018_1000 NAC_9 2653
DE EX_M 2018 1000 NAC 10 DE_EX_M_2018_1000 NAC_10 59862
DE EX_M 2018 1000 NAC 10_1 DE_EX_M_2018_1000 NAC_10_1 957649.19828023
DE EX_M 2018 1000 NAC 10_1_1 DE_EX_M_2018_1000 NAC_10_1_1 430795.198137821
DE EX_M 2018 1000 NAC 10_1_2 DE_EX_M_2018_1000 NAC_10_1_2 47257.0642326065
DE EX_M 2018 1000 NAC 10_1_3 DE_EX_M_2018_1000 NAC_10_1_3 51681.3682783255
DE EX_M 2018 1000 NAC 10_1_4 DE_EX_M_2018_1000 NAC_10_1_4 131739.244594592
DE EX_M 2018 1000 NAC 10_2 DE_EX_M_2018_1000 NAC_10_2 200117.521032297
DE EX_M 2018 1000 NAC 10_3 DE_EX_M_2018_1000 NAC_10_3 31507.822689884
DE EX_M 2018 1000 NAC 10_3_1 DE_EX_M_2018_1000 NAC_10_3_1 470279.285605819
DE EX_M 2018 1000 NAC 10_3_2 DE_EX_M_2018_1000 NAC_10_3_2 169536.017291782
DE EX_M 2018 1000 NAC 10_3_3 DE_EX_M_2018_1000 NAC_10_3_3 170040.598518621
DE EX_M 2018 1000 NAC 10_3_4 DE_EX_M_2018_1000 NAC_10_3_4 119461.303564108
DE EX_M 2018 1000 NAC 10_4 DE_EX_M_2018_1000 NAC_10_4 11241.3662313081
DE EX_M 2019 1000 m3 1 DE_EX_M_2019_1000 m3_1 724.262
DE EX_M 2019 1000 m3 1_1 DE_EX_M_2019_1000 m3_1_1 124.475
DE EX_M 2019 1000 m3 1_2 DE_EX_M_2019_1000 m3_1_2 11.158
DE EX_M 2019 1000 m3 1_2_C DE_EX_M_2019_1000 m3_1_2_C 113.317
DE EX_M 2019 1000 m3 1_2_NC DE_EX_M_2019_1000 m3_1_2_NC 599.787
DE EX_M 2019 1000 m3 1_2_NC_T DE_EX_M_2019_1000 m3_1_2_NC_T 548.269
DE EX_M 2019 1000 mt 2 DE_EX_M_2019_1000 mt_2 51.518
DE EX_M 2019 1000 m3 3 DE_EX_M_2019_1000 m3_3 9.476
DE EX_M 2019 1000 m3 3_1 DE_EX_M_2019_1000 m3_3_1 96.999
DE EX_M 2019 1000 m3 3_2 DE_EX_M_2019_1000 m3_3_2 45.452
DE EX_M 2019 1000 mt 4 DE_EX_M_2019_1000 mt_4 15.534
DE EX_M 2019 1000 mt 4_1 DE_EX_M_2019_1000 mt_4_1 29.918
DE EX_M 2019 1000 mt 4_2 DE_EX_M_2019_1000 mt_4_2 109.09
DE EX_M 2019 1000 m3 5 DE_EX_M_2019_1000 m3_5 191.879
DE EX_M 2019 1000 m3 5_C DE_EX_M_2019_1000 m3_5_C 41.985
DE EX_M 2019 1000 m3 5_NC DE_EX_M_2019_1000 m3_5_NC 149.894
DE EX_M 2019 1000 m3 5_NC_T DE_EX_M_2019_1000 m3_5_NC_T 1836.15
DE EX_M 2019 1000 m3 6 DE_EX_M_2019_1000 m3_6 1668.442
DE EX_M 2019 1000 m3 6_1 DE_EX_M_2019_1000 m3_6_1 167.708
DE EX_M 2019 1000 m3 6_1_C DE_EX_M_2019_1000 m3_6_1_C 66.217
DE EX_M 2019 1000 m3 6_1_NC DE_EX_M_2019_1000 m3_6_1_NC 31.544
DE EX_M 2019 1000 m3 6_1_NC_T DE_EX_M_2019_1000 m3_6_1_NC_T 4.145
DE EX_M 2019 1000 m3 6_2 DE_EX_M_2019_1000 m3_6_2 27.399
DE EX_M 2019 1000 m3 6_2_C DE_EX_M_2019_1000 m3_6_2_C 6.415
DE EX_M 2019 1000 m3 6_2_NC DE_EX_M_2019_1000 m3_6_2_NC 1066.572
DE EX_M 2019 1000 m3 6_2_NC_T DE_EX_M_2019_1000 m3_6_2_NC_T 692.273
DE EX_M 2019 1000 m3 6_3 DE_EX_M_2019_1000 m3_6_3 259.852
DE EX_M 2019 1000 m3 6_3_1 DE_EX_M_2019_1000 m3_6_3_1 432.421
DE EX_M 2019 1000 m3 6_4 DE_EX_M_2019_1000 m3_6_4 46.634
DE EX_M 2019 1000 m3 6_4_1 DE_EX_M_2019_1000 m3_6_4_1 204.863
DE EX_M 2019 1000 m3 6_4_2 DE_EX_M_2019_1000 m3_6_4_2 2.285
DE EX_M 2019 1000 m3 6_4_3 DE_EX_M_2019_1000 m3_6_4_3 169.436
DE EX_M 2019 1000 mt 7 DE_EX_M_2019_1000 mt_7 16.718
DE EX_M 2019 1000 mt 7_1 DE_EX_M_2019_1000 mt_7_1 108.69
DE EX_M 2019 1000 mt 7_2 DE_EX_M_2019_1000 mt_7_2 44.028
DE EX_M 2019 1000 mt 7_3 DE_EX_M_2019_1000 mt_7_3 1847.7821722355
DE EX_M 2019 1000 mt 7_3_1 DE_EX_M_2019_1000 mt_7_3_1 35.3197691356
DE EX_M 2019 1000 mt 7_3_2 DE_EX_M_2019_1000 mt_7_3_2 1717.1150092257
DE EX_M 2019 1000 mt 7_3_3 DE_EX_M_2019_1000 mt_7_3_3 1689.8768504751
DE EX_M 2019 1000 mt 7_3_4 DE_EX_M_2019_1000 mt_7_3_4 1673.7816871552
DE EX_M 2019 1000 mt 7_4 DE_EX_M_2019_1000 mt_7_4 27.3352379076
DE EX_M 2019 1000 mt 8 DE_EX_M_2019_1000 mt_8 92.692125666
DE EX_M 2019 1000 mt 8_1 DE_EX_M_2019_1000 mt_8_1 99.747778248
DE EX_M 2019 1000 mt 8_2 DE_EX_M_2019_1000 mt_8_2 6.4634142093
DE EX_M 2019 1000 mt 9 DE_EX_M_2019_1000 mt_9 104.5563603077
DE EX_M 2019 1000 mt 10 DE_EX_M_2019_1000 mt_10 414.623377242
DE EX_M 2019 1000 mt 10_1 DE_EX_M_2019_1000 mt_10_1 1117.799
DE EX_M 2019 1000 mt 10_1_1 DE_EX_M_2019_1000 mt_10_1_1 511.1518995978
DE EX_M 2019 1000 mt 10_1_2 DE_EX_M_2019_1000 mt_10_1_2 82.1744267875
DE EX_M 2019 1000 mt 10_1_3 DE_EX_M_2019_1000 mt_10_1_3 60.8931147851
DE EX_M 2019 1000 mt 10_1_4 DE_EX_M_2019_1000 mt_10_1_4 133.5547866572
DE EX_M 2019 1000 mt 10_2 DE_EX_M_2019_1000 mt_10_2 234.529571368
DE EX_M 2019 1000 mt 10_3 DE_EX_M_2019_1000 mt_10_3 21.6569510461
DE EX_M 2019 1000 mt 10_3_1 DE_EX_M_2019_1000 mt_10_3_1 575.3837451382
DE EX_M 2019 1000 mt 10_3_2 DE_EX_M_2019_1000 mt_10_3_2 290.7441568486
DE EX_M 2019 1000 mt 10_3_3 DE_EX_M_2019_1000 mt_10_3_3 157.8989749182
DE EX_M 2019 1000 mt 10_3_4 DE_EX_M_2019_1000 mt_10_3_4 106.7086918774
DE EX_M 2019 1000 mt 10_4 DE_EX_M_2019_1000 mt_10_4 20.031921494
DE EX_M 2019 1000 NAC 1 DE_EX_M_2019_1000 NAC_1 76498
DE EX_M 2019 1000 NAC 1_1 DE_EX_M_2019_1000 NAC_1_1 13954
DE EX_M 2019 1000 NAC 1_2 DE_EX_M_2019_1000 NAC_1_2 1091
DE EX_M 2019 1000 NAC 1_2_C DE_EX_M_2019_1000 NAC_1_2_C 12863
DE EX_M 2019 1000 NAC 1_2_NC DE_EX_M_2019_1000 NAC_1_2_NC 62544
DE EX_M 2019 1000 NAC 1_2_NC_T DE_EX_M_2019_1000 NAC_1_2_NC_T 43304
DE EX_M 2019 1000 NAC 2 DE_EX_M_2019_1000 NAC_2 19240
DE EX_M 2019 1000 NAC 3 DE_EX_M_2019_1000 NAC_3 4636
DE EX_M 2019 1000 NAC 3_1 DE_EX_M_2019_1000 NAC_3_1 45087
DE EX_M 2019 1000 NAC 3_2 DE_EX_M_2019_1000 NAC_3_2 1648
DE EX_M 2019 1000 NAC 4 DE_EX_M_2019_1000 NAC_4 808
DE EX_M 2019 1000 NAC 4_1 DE_EX_M_2019_1000 NAC_4_1 840
DE EX_M 2019 1000 NAC 4_2 DE_EX_M_2019_1000 NAC_4_2 2302
DE EX_M 2019 1000 NAC 5 DE_EX_M_2019_1000 NAC_5 23549
DE EX_M 2019 1000 NAC 5_C DE_EX_M_2019_1000 NAC_5_C 5918
DE EX_M 2019 1000 NAC 5_NC DE_EX_M_2019_1000 NAC_5_NC 17631
DE EX_M 2019 1000 NAC 5_NC_T DE_EX_M_2019_1000 NAC_5_NC_T 411923
DE EX_M 2019 1000 NAC 6 DE_EX_M_2019_1000 NAC_6 307595
DE EX_M 2019 1000 NAC 6_1 DE_EX_M_2019_1000 NAC_6_1 104328
DE EX_M 2019 1000 NAC 6_1_C DE_EX_M_2019_1000 NAC_6_1_C 48962
DE EX_M 2019 1000 NAC 6_1_NC DE_EX_M_2019_1000 NAC_6_1_NC 45705
DE EX_M 2019 1000 NAC 6_1_NC_T DE_EX_M_2019_1000 NAC_6_1_NC_T 6507
DE EX_M 2019 1000 NAC 6_2 DE_EX_M_2019_1000 NAC_6_2 39198
DE EX_M 2019 1000 NAC 6_2_C DE_EX_M_2019_1000 NAC_6_2_C 5465
DE EX_M 2019 1000 NAC 6_2_NC DE_EX_M_2019_1000 NAC_6_2_NC 408370
DE EX_M 2019 1000 NAC 6_2_NC_T DE_EX_M_2019_1000 NAC_6_2_NC_T 262501
DE EX_M 2019 1000 NAC 6_3 DE_EX_M_2019_1000 NAC_6_3 70583.5
DE EX_M 2019 1000 NAC 6_3_1 DE_EX_M_2019_1000 NAC_6_3_1 191917.5
DE EX_M 2019 1000 NAC 6_4 DE_EX_M_2019_1000 NAC_6_4 31446
DE EX_M 2019 1000 NAC 6_4_1 DE_EX_M_2019_1000 NAC_6_4_1 55944
DE EX_M 2019 1000 NAC 6_4_2 DE_EX_M_2019_1000 NAC_6_4_2 495
DE EX_M 2019 1000 NAC 6_4_3 DE_EX_M_2019_1000 NAC_6_4_3 89925
DE EX_M 2019 1000 NAC 7 DE_EX_M_2019_1000 NAC_7 14461
DE EX_M 2019 1000 NAC 7_1 DE_EX_M_2019_1000 NAC_7_1 69012
DE EX_M 2019 1000 NAC 7_2 DE_EX_M_2019_1000 NAC_7_2 6452
DE EX_M 2019 1000 NAC 7_3 DE_EX_M_2019_1000 NAC_7_3 1197689.59384559
DE EX_M 2019 1000 NAC 7_3_1 DE_EX_M_2019_1000 NAC_7_3_1 20862.6662631598
DE EX_M 2019 1000 NAC 7_3_2 DE_EX_M_2019_1000 NAC_7_3_2 1060652.00628098
DE EX_M 2019 1000 NAC 7_3_3 DE_EX_M_2019_1000 NAC_7_3_3 1031085.82715575
DE EX_M 2019 1000 NAC 7_3_4 DE_EX_M_2019_1000 NAC_7_3_4 1021863.2641285
DE EX_M 2019 1000 NAC 7_4 DE_EX_M_2019_1000 NAC_7_4 29692.9972036997
DE EX_M 2019 1000 NAC 8 DE_EX_M_2019_1000 NAC_8 107819.6676374
DE EX_M 2019 1000 NAC 8_1 DE_EX_M_2019_1000 NAC_8_1 20035.33900362
DE EX_M 2019 1000 NAC 8_2 DE_EX_M_2019_1000 NAC_8_2 13083.2174196745
DE EX_M 2019 1000 NAC 9 DE_EX_M_2019_1000 NAC_9 3315.138001758
DE EX_M 2019 1000 NAC 10 DE_EX_M_2019_1000 NAC_10 54238.055059962
DE EX_M 2019 1000 NAC 10_1 DE_EX_M_2019_1000 NAC_10_1 956388.606999775
DE EX_M 2019 1000 NAC 10_1_1 DE_EX_M_2019_1000 NAC_10_1_1 428467.203643469
DE EX_M 2019 1000 NAC 10_1_2 DE_EX_M_2019_1000 NAC_10_1_2 48850.5124212247
DE EX_M 2019 1000 NAC 10_1_3 DE_EX_M_2019_1000 NAC_10_1_3 47914.2640084581
DE EX_M 2019 1000 NAC 10_1_4 DE_EX_M_2019_1000 NAC_10_1_4 134009.603958626
DE EX_M 2019 1000 NAC 10_2 DE_EX_M_2019_1000 NAC_10_2 197692.823255161
DE EX_M 2019 1000 NAC 10_3 DE_EX_M_2019_1000 NAC_10_3 33258.9803017474
DE EX_M 2019 1000 NAC 10_3_1 DE_EX_M_2019_1000 NAC_10_3_1 466814.914385285
DE EX_M 2019 1000 NAC 10_3_2 DE_EX_M_2019_1000 NAC_10_3_2 150103.120163915
DE EX_M 2019 1000 NAC 10_3_3 DE_EX_M_2019_1000 NAC_10_3_3 183859.015318086
DE EX_M 2019 1000 NAC 10_3_4 DE_EX_M_2019_1000 NAC_10_3_4 122073.509033683
DE EX_M 2019 1000 NAC 10_4 DE_EX_M_2019_1000 NAC_10_4 10779.2698696011
DE EX_X 2018 1000 m3 1 DE_EX_X_2018_1000 m3_1 1256.554
DE EX_X 2018 1000 m3 1_1 DE_EX_X_2018_1000 m3_1_1 3.382
DE EX_X 2018 1000 m3 1_2 DE_EX_X_2018_1000 m3_1_2 0.023
DE EX_X 2018 1000 m3 1_2_C DE_EX_X_2018_1000 m3_1_2_C 3.359
DE EX_X 2018 1000 m3 1_2_NC DE_EX_X_2018_1000 m3_1_2_NC 1253.172
DE EX_X 2018 1000 m3 1_2_NC_T DE_EX_X_2018_1000 m3_1_2_NC_T 546.886
DE EX_X 2018 1000 mt 2 DE_EX_X_2018_1000 mt_2 706.286
DE EX_X 2018 1000 m3 3 DE_EX_X_2018_1000 m3_3 0.189
DE EX_X 2018 1000 m3 3_1 DE_EX_X_2018_1000 m3_3_1 3.572
DE EX_X 2018 1000 m3 3_2 DE_EX_X_2018_1000 m3_3_2 328.257
DE EX_X 2018 1000 mt 4 DE_EX_X_2018_1000 mt_4 220.262
DE EX_X 2018 1000 mt 4_1 DE_EX_X_2018_1000 mt_4_1 107.995
DE EX_X 2018 1000 mt 4_2 DE_EX_X_2018_1000 mt_4_2 24.349
DE EX_X 2018 1000 m3 5 DE_EX_X_2018_1000 m3_5 67.372
DE EX_X 2018 1000 m3 5_C DE_EX_X_2018_1000 m3_5_C 54.593
DE EX_X 2018 1000 m3 5_NC DE_EX_X_2018_1000 m3_5_NC 12.779
DE EX_X 2018 1000 m3 5_NC_T DE_EX_X_2018_1000 m3_5_NC_T 3467.463
DE EX_X 2018 1000 m3 6 DE_EX_X_2018_1000 m3_6 2985.654
DE EX_X 2018 1000 m3 6_1 DE_EX_X_2018_1000 m3_6_1 481.809
DE EX_X 2018 1000 m3 6_1_C DE_EX_X_2018_1000 m3_6_1_C 10.042
DE EX_X 2018 1000 m3 6_1_NC DE_EX_X_2018_1000 m3_6_1_NC 15.888
DE EX_X 2018 1000 m3 6_1_NC_T DE_EX_X_2018_1000 m3_6_1_NC_T 0.086
DE EX_X 2018 1000 m3 6_2 DE_EX_X_2018_1000 m3_6_2 15.802
DE EX_X 2018 1000 m3 6_2_C DE_EX_X_2018_1000 m3_6_2_C 1.248
DE EX_X 2018 1000 m3 6_2_NC DE_EX_X_2018_1000 m3_6_2_NC 1576.425
DE EX_X 2018 1000 m3 6_2_NC_T DE_EX_X_2018_1000 m3_6_2_NC_T 99.167
DE EX_X 2018 1000 m3 6_3 DE_EX_X_2018_1000 m3_6_3 68.827
DE EX_X 2018 1000 m3 6_3_1 DE_EX_X_2018_1000 m3_6_3_1 30.34
DE EX_X 2018 1000 m3 6_4 DE_EX_X_2018_1000 m3_6_4 2.5
DE EX_X 2018 1000 m3 6_4_1 DE_EX_X_2018_1000 m3_6_4_1 433.211
DE EX_X 2018 1000 m3 6_4_2 DE_EX_X_2018_1000 m3_6_4_2 180.911
DE EX_X 2018 1000 m3 6_4_3 DE_EX_X_2018_1000 m3_6_4_3 1044.047
DE EX_X 2018 1000 mt 7 DE_EX_X_2018_1000 mt_7 593.744
DE EX_X 2018 1000 mt 7_1 DE_EX_X_2018_1000 mt_7_1 332.587
DE EX_X 2018 1000 mt 7_2 DE_EX_X_2018_1000 mt_7_2 117.716
DE EX_X 2018 1000 mt 7_3 DE_EX_X_2018_1000 mt_7_3 188.9693711765
DE EX_X 2018 1000 mt 7_3_1 DE_EX_X_2018_1000 mt_7_3_1 23.1228705217
DE EX_X 2018 1000 mt 7_3_2 DE_EX_X_2018_1000 mt_7_3_2 165.9924196249
DE EX_X 2018 1000 mt 7_3_3 DE_EX_X_2018_1000 mt_7_3_3 137.2139974082
DE EX_X 2018 1000 mt 7_3_4 DE_EX_X_2018_1000 mt_7_3_4 135.487787411
DE EX_X 2018 1000 mt 7_4 DE_EX_X_2018_1000 mt_7_4 28.2716721074
DE EX_X 2018 1000 mt 8 DE_EX_X_2018_1000 mt_8 0.0288931694
DE EX_X 2018 1000 mt 8_1 DE_EX_X_2018_1000 mt_8_1 62.6297846822
DE EX_X 2018 1000 mt 8_2 DE_EX_X_2018_1000 mt_8_2 0.4751071811
DE EX_X 2018 1000 mt 9 DE_EX_X_2018_1000 mt_9 61.2621035058
DE EX_X 2018 1000 mt 10 DE_EX_X_2018_1000 mt_10 637.6061247163
DE EX_X 2018 1000 mt 10_1 DE_EX_X_2018_1000 mt_10_1 2862.426
DE EX_X 2018 1000 mt 10_1_1 DE_EX_X_2018_1000 mt_10_1_1 1192.8960823555
DE EX_X 2018 1000 mt 10_1_2 DE_EX_X_2018_1000 mt_10_1_2 97.0928448441
DE EX_X 2018 1000 mt 10_1_3 DE_EX_X_2018_1000 mt_10_1_3 213.6276812151
DE EX_X 2018 1000 mt 10_1_4 DE_EX_X_2018_1000 mt_10_1_4 208.0472779062
DE EX_X 2018 1000 mt 10_2 DE_EX_X_2018_1000 mt_10_2 674.1282783901
DE EX_X 2018 1000 mt 10_3 DE_EX_X_2018_1000 mt_10_3 27.7834239902
DE EX_X 2018 1000 mt 10_3_1 DE_EX_X_2018_1000 mt_10_3_1 1621.5282599518
DE EX_X 2018 1000 mt 10_3_2 DE_EX_X_2018_1000 mt_10_3_2 943.9493821522
DE EX_X 2018 1000 mt 10_3_3 DE_EX_X_2018_1000 mt_10_3_3 415.3293061731
DE EX_X 2018 1000 mt 10_3_4 DE_EX_X_2018_1000 mt_10_3_4 205.9451667423
DE EX_X 2018 1000 mt 10_4 DE_EX_X_2018_1000 mt_10_4 56.3044048842
DE EX_X 2018 1000 NAC 1 DE_EX_X_2018_1000 NAC_1 177003
DE EX_X 2018 1000 NAC 1_1 DE_EX_X_2018_1000 NAC_1_1 1087
DE EX_X 2018 1000 NAC 1_2 DE_EX_X_2018_1000 NAC_1_2 21
DE EX_X 2018 1000 NAC 1_2_C DE_EX_X_2018_1000 NAC_1_2_C 1066
DE EX_X 2018 1000 NAC 1_2_NC DE_EX_X_2018_1000 NAC_1_2_NC 175916
DE EX_X 2018 1000 NAC 1_2_NC_T DE_EX_X_2018_1000 NAC_1_2_NC_T 52065
DE EX_X 2018 1000 NAC 2 DE_EX_X_2018_1000 NAC_2 123851
DE EX_X 2018 1000 NAC 3 DE_EX_X_2018_1000 NAC_3 709
DE EX_X 2018 1000 NAC 3_1 DE_EX_X_2018_1000 NAC_3_1 3260
DE EX_X 2018 1000 NAC 3_2 DE_EX_X_2018_1000 NAC_3_2 23778
DE EX_X 2018 1000 NAC 4 DE_EX_X_2018_1000 NAC_4 14107
DE EX_X 2018 1000 NAC 4_1 DE_EX_X_2018_1000 NAC_4_1 9671
DE EX_X 2018 1000 NAC 4_2 DE_EX_X_2018_1000 NAC_4_2 4805
DE EX_X 2018 1000 NAC 5 DE_EX_X_2018_1000 NAC_5 26952
DE EX_X 2018 1000 NAC 5_C DE_EX_X_2018_1000 NAC_5_C 21039
DE EX_X 2018 1000 NAC 5_NC DE_EX_X_2018_1000 NAC_5_NC 5913
DE EX_X 2018 1000 NAC 5_NC_T DE_EX_X_2018_1000 NAC_5_NC_T 890584
DE EX_X 2018 1000 NAC 6 DE_EX_X_2018_1000 NAC_6 675819
DE EX_X 2018 1000 NAC 6_1 DE_EX_X_2018_1000 NAC_6_1 214765
DE EX_X 2018 1000 NAC 6_1_C DE_EX_X_2018_1000 NAC_6_1_C 13113
DE EX_X 2018 1000 NAC 6_1_NC DE_EX_X_2018_1000 NAC_6_1_NC 51764
DE EX_X 2018 1000 NAC 6_1_NC_T DE_EX_X_2018_1000 NAC_6_1_NC_T 711
DE EX_X 2018 1000 NAC 6_2 DE_EX_X_2018_1000 NAC_6_2 51053
DE EX_X 2018 1000 NAC 6_2_C DE_EX_X_2018_1000 NAC_6_2_C 4086
DE EX_X 2018 1000 NAC 6_2_NC DE_EX_X_2018_1000 NAC_6_2_NC 777801
DE EX_X 2018 1000 NAC 6_2_NC_T DE_EX_X_2018_1000 NAC_6_2_NC_T 79299
DE EX_X 2018 1000 NAC 6_3 DE_EX_X_2018_1000 NAC_6_3 41386
DE EX_X 2018 1000 NAC 6_3_1 DE_EX_X_2018_1000 NAC_6_3_1 37913
DE EX_X 2018 1000 NAC 6_4 DE_EX_X_2018_1000 NAC_6_4 5803
DE EX_X 2018 1000 NAC 6_4_1 DE_EX_X_2018_1000 NAC_6_4_1 125535
DE EX_X 2018 1000 NAC 6_4_2 DE_EX_X_2018_1000 NAC_6_4_2 49564
DE EX_X 2018 1000 NAC 6_4_3 DE_EX_X_2018_1000 NAC_6_4_3 572967
DE EX_X 2018 1000 NAC 7 DE_EX_X_2018_1000 NAC_7 370863
DE EX_X 2018 1000 NAC 7_1 DE_EX_X_2018_1000 NAC_7_1 188315
DE EX_X 2018 1000 NAC 7_2 DE_EX_X_2018_1000 NAC_7_2 13789
DE EX_X 2018 1000 NAC 7_3 DE_EX_X_2018_1000 NAC_7_3 144595.265529658
DE EX_X 2018 1000 NAC 7_3_1 DE_EX_X_2018_1000 NAC_7_3_1 10656.3968196603
DE EX_X 2018 1000 NAC 7_3_2 DE_EX_X_2018_1000 NAC_7_3_2 133902
DE EX_X 2018 1000 NAC 7_3_3 DE_EX_X_2018_1000 NAC_7_3_3 91773
DE EX_X 2018 1000 NAC 7_3_4 DE_EX_X_2018_1000 NAC_7_3_4 90640
DE EX_X 2018 1000 NAC 7_4 DE_EX_X_2018_1000 NAC_7_4 42129
DE EX_X 2018 1000 NAC 8 DE_EX_X_2018_1000 NAC_8 40
DE EX_X 2018 1000 NAC 8_1 DE_EX_X_2018_1000 NAC_8_1 30878.0487610125
DE EX_X 2018 1000 NAC 8_2 DE_EX_X_2018_1000 NAC_8_2 472.0522433677
DE EX_X 2018 1000 NAC 9 DE_EX_X_2018_1000 NAC_9 30900
DE EX_X 2018 1000 NAC 10 DE_EX_X_2018_1000 NAC_10 78708
DE EX_X 2018 1000 NAC 10_1 DE_EX_X_2018_1000 NAC_10_1 2541911.5148299
DE EX_X 2018 1000 NAC 10_1_1 DE_EX_X_2018_1000 NAC_10_1_1 1047175.49389978
DE EX_X 2018 1000 NAC 10_1_2 DE_EX_X_2018_1000 NAC_10_1_2 53337.6439504362
DE EX_X 2018 1000 NAC 10_1_3 DE_EX_X_2018_1000 NAC_10_1_3 130614.273218482
DE EX_X 2018 1000 NAC 10_1_4 DE_EX_X_2018_1000 NAC_10_1_4 256457.559264903
DE EX_X 2018 1000 NAC 10_2 DE_EX_X_2018_1000 NAC_10_2 606766.017465954
DE EX_X 2018 1000 NAC 10_3 DE_EX_X_2018_1000 NAC_10_3 50737.7770294775
DE EX_X 2018 1000 NAC 10_3_1 DE_EX_X_2018_1000 NAC_10_3_1 1377094.40369656
DE EX_X 2018 1000 NAC 10_3_2 DE_EX_X_2018_1000 NAC_10_3_2 544422.096414736
DE EX_X 2018 1000 NAC 10_3_3 DE_EX_X_2018_1000 NAC_10_3_3 541434.090988687
DE EX_X 2018 1000 NAC 10_3_4 DE_EX_X_2018_1000 NAC_10_3_4 256620.228017949
DE EX_X 2018 1000 NAC 10_4 DE_EX_X_2018_1000 NAC_10_4 34617.9882751831
DE EX_X 2019 1000 m3 1 DE_EX_X_2019_1000 m3_1 3963.784
DE EX_X 2019 1000 m3 1_1 DE_EX_X_2019_1000 m3_1_1 2.473
DE EX_X 2019 1000 m3 1_2 DE_EX_X_2019_1000 m3_1_2 0.021
DE EX_X 2019 1000 m3 1_2_C DE_EX_X_2019_1000 m3_1_2_C 2.452
DE EX_X 2019 1000 m3 1_2_NC DE_EX_X_2019_1000 m3_1_2_NC 3961.311
DE EX_X 2019 1000 m3 1_2_NC_T DE_EX_X_2019_1000 m3_1_2_NC_T 3292.208
DE EX_X 2019 1000 mt 2 DE_EX_X_2019_1000 mt_2 669.103
DE EX_X 2019 1000 m3 3 DE_EX_X_2019_1000 m3_3 0.344
DE EX_X 2019 1000 m3 3_1 DE_EX_X_2019_1000 m3_3_1 3.662
DE EX_X 2019 1000 m3 3_2 DE_EX_X_2019_1000 m3_3_2 264.052
DE EX_X 2019 1000 mt 4 DE_EX_X_2019_1000 mt_4 162.441
DE EX_X 2019 1000 mt 4_1 DE_EX_X_2019_1000 mt_4_1 101.611
DE EX_X 2019 1000 mt 4_2 DE_EX_X_2019_1000 mt_4_2 21.378
DE EX_X 2019 1000 m3 5 DE_EX_X_2019_1000 m3_5 54.573
DE EX_X 2019 1000 m3 5_C DE_EX_X_2019_1000 m3_5_C 42.729
DE EX_X 2019 1000 m3 5_NC DE_EX_X_2019_1000 m3_5_NC 11.844
DE EX_X 2019 1000 m3 5_NC_T DE_EX_X_2019_1000 m3_5_NC_T 4098.123
DE EX_X 2019 1000 m3 6 DE_EX_X_2019_1000 m3_6 3629.608
DE EX_X 2019 1000 m3 6_1 DE_EX_X_2019_1000 m3_6_1 468.515
DE EX_X 2019 1000 m3 6_1_C DE_EX_X_2019_1000 m3_6_1_C 8.819
DE EX_X 2019 1000 m3 6_1_NC DE_EX_X_2019_1000 m3_6_1_NC 15.111
DE EX_X 2019 1000 m3 6_1_NC_T DE_EX_X_2019_1000 m3_6_1_NC_T 0.256
DE EX_X 2019 1000 m3 6_2 DE_EX_X_2019_1000 m3_6_2 14.855
DE EX_X 2019 1000 m3 6_2_C DE_EX_X_2019_1000 m3_6_2_C 1.169
DE EX_X 2019 1000 m3 6_2_NC DE_EX_X_2019_1000 m3_6_2_NC 1528.327
DE EX_X 2019 1000 m3 6_2_NC_T DE_EX_X_2019_1000 m3_6_2_NC_T 95.889
DE EX_X 2019 1000 m3 6_3 DE_EX_X_2019_1000 m3_6_3 69.583
DE EX_X 2019 1000 m3 6_3_1 DE_EX_X_2019_1000 m3_6_3_1 26.306
DE EX_X 2019 1000 m3 6_4 DE_EX_X_2019_1000 m3_6_4 1.684
DE EX_X 2019 1000 m3 6_4_1 DE_EX_X_2019_1000 m3_6_4_1 450.552
DE EX_X 2019 1000 m3 6_4_2 DE_EX_X_2019_1000 m3_6_4_2 180.519
DE EX_X 2019 1000 m3 6_4_3 DE_EX_X_2019_1000 m3_6_4_3 981.886
DE EX_X 2019 1000 mt 7 DE_EX_X_2019_1000 mt_7 470.696
DE EX_X 2019 1000 mt 7_1 DE_EX_X_2019_1000 mt_7_1 350.93
DE EX_X 2019 1000 mt 7_2 DE_EX_X_2019_1000 mt_7_2 160.26
DE EX_X 2019 1000 mt 7_3 DE_EX_X_2019_1000 mt_7_3 371.1720007442
DE EX_X 2019 1000 mt 7_3_1 DE_EX_X_2019_1000 mt_7_3_1 16.1770355648
DE EX_X 2019 1000 mt 7_3_2 DE_EX_X_2019_1000 mt_7_3_2 352.6264357591
DE EX_X 2019 1000 mt 7_3_3 DE_EX_X_2019_1000 mt_7_3_3 323.9940229707
DE EX_X 2019 1000 mt 7_3_4 DE_EX_X_2019_1000 mt_7_3_4 321.1030886301
DE EX_X 2019 1000 mt 7_4 DE_EX_X_2019_1000 mt_7_4 28.6240031075
DE EX_X 2019 1000 mt 8 DE_EX_X_2019_1000 mt_8 2.3422270853
DE EX_X 2019 1000 mt 8_1 DE_EX_X_2019_1000 mt_8_1 51.2822050119
DE EX_X 2019 1000 mt 8_2 DE_EX_X_2019_1000 mt_8_2 0.5220986883
DE EX_X 2019 1000 mt 9 DE_EX_X_2019_1000 mt_9 47.3679061829
DE EX_X 2019 1000 mt 10 DE_EX_X_2019_1000 mt_10 548.5996117032
DE EX_X 2019 1000 mt 10_1 DE_EX_X_2019_1000 mt_10_1 2882.823
DE EX_X 2019 1000 mt 10_1_1 DE_EX_X_2019_1000 mt_10_1_1 1126.6229151699
DE EX_X 2019 1000 mt 10_1_2 DE_EX_X_2019_1000 mt_10_1_2 94.6264993957
DE EX_X 2019 1000 mt 10_1_3 DE_EX_X_2019_1000 mt_10_1_3 197.518128492
DE EX_X 2019 1000 mt 10_1_4 DE_EX_X_2019_1000 mt_10_1_4 203.0381802363
DE EX_X 2019 1000 mt 10_2 DE_EX_X_2019_1000 mt_10_2 631.4401070458
DE EX_X 2019 1000 mt 10_3 DE_EX_X_2019_1000 mt_10_3 25.6203005096
DE EX_X 2019 1000 mt 10_3_1 DE_EX_X_2019_1000 mt_10_3_1 1710.9926761487
DE EX_X 2019 1000 mt 10_3_2 DE_EX_X_2019_1000 mt_10_3_2 1017.8727708084
DE EX_X 2019 1000 mt 10_3_3 DE_EX_X_2019_1000 mt_10_3_3 426.9654321061
DE EX_X 2019 1000 mt 10_3_4 DE_EX_X_2019_1000 mt_10_3_4 210.9364453761
DE EX_X 2019 1000 mt 10_4 DE_EX_X_2019_1000 mt_10_4 55.2180278581
DE EX_X 2019 1000 NAC 1 DE_EX_X_2019_1000 NAC_1 408871
DE EX_X 2019 1000 NAC 1_1 DE_EX_X_2019_1000 NAC_1_1 784
DE EX_X 2019 1000 NAC 1_2 DE_EX_X_2019_1000 NAC_1_2 20
DE EX_X 2019 1000 NAC 1_2_C DE_EX_X_2019_1000 NAC_1_2_C 764
DE EX_X 2019 1000 NAC 1_2_NC DE_EX_X_2019_1000 NAC_1_2_NC 408087
DE EX_X 2019 1000 NAC 1_2_NC_T DE_EX_X_2019_1000 NAC_1_2_NC_T 293966
DE EX_X 2019 1000 NAC 2 DE_EX_X_2019_1000 NAC_2 114121
DE EX_X 2019 1000 NAC 3 DE_EX_X_2019_1000 NAC_3 865
DE EX_X 2019 1000 NAC 3_1 DE_EX_X_2019_1000 NAC_3_1 3258
DE EX_X 2019 1000 NAC 3_2 DE_EX_X_2019_1000 NAC_3_2 21440
DE EX_X 2019 1000 NAC 4 DE_EX_X_2019_1000 NAC_4 12040
DE EX_X 2019 1000 NAC 4_1 DE_EX_X_2019_1000 NAC_4_1 9400
DE EX_X 2019 1000 NAC 4_2 DE_EX_X_2019_1000 NAC_4_2 4372
DE EX_X 2019 1000 NAC 5 DE_EX_X_2019_1000 NAC_5 23417
DE EX_X 2019 1000 NAC 5_C DE_EX_X_2019_1000 NAC_5_C 17864
DE EX_X 2019 1000 NAC 5_NC DE_EX_X_2019_1000 NAC_5_NC 5553
DE EX_X 2019 1000 NAC 5_NC_T DE_EX_X_2019_1000 NAC_5_NC_T 901977
DE EX_X 2019 1000 NAC 6 DE_EX_X_2019_1000 NAC_6 690904
DE EX_X 2019 1000 NAC 6_1 DE_EX_X_2019_1000 NAC_6_1 211073
DE EX_X 2019 1000 NAC 6_1_C DE_EX_X_2019_1000 NAC_6_1_C 11671
DE EX_X 2019 1000 NAC 6_1_NC DE_EX_X_2019_1000 NAC_6_1_NC 51942
DE EX_X 2019 1000 NAC 6_1_NC_T DE_EX_X_2019_1000 NAC_6_1_NC_T 1147
DE EX_X 2019 1000 NAC 6_2 DE_EX_X_2019_1000 NAC_6_2 50795
DE EX_X 2019 1000 NAC 6_2_C DE_EX_X_2019_1000 NAC_6_2_C 3923
DE EX_X 2019 1000 NAC 6_2_NC DE_EX_X_2019_1000 NAC_6_2_NC 723496
DE EX_X 2019 1000 NAC 6_2_NC_T DE_EX_X_2019_1000 NAC_6_2_NC_T 74895
DE EX_X 2019 1000 NAC 6_3 DE_EX_X_2019_1000 NAC_6_3 43207.5
DE EX_X 2019 1000 NAC 6_3_1 DE_EX_X_2019_1000 NAC_6_3_1 31687.5
DE EX_X 2019 1000 NAC 6_4 DE_EX_X_2019_1000 NAC_6_4 3150
DE EX_X 2019 1000 NAC 6_4_1 DE_EX_X_2019_1000 NAC_6_4_1 123519
DE EX_X 2019 1000 NAC 6_4_2 DE_EX_X_2019_1000 NAC_6_4_2 46353
DE EX_X 2019 1000 NAC 6_4_3 DE_EX_X_2019_1000 NAC_6_4_3 525082
DE EX_X 2019 1000 NAC 7 DE_EX_X_2019_1000 NAC_7 301675
DE EX_X 2019 1000 NAC 7_1 DE_EX_X_2019_1000 NAC_7_1 205882
DE EX_X 2019 1000 NAC 7_2 DE_EX_X_2019_1000 NAC_7_2 17525
DE EX_X 2019 1000 NAC 7_3 DE_EX_X_2019_1000 NAC_7_3 224733.622361567
DE EX_X 2019 1000 NAC 7_3_1 DE_EX_X_2019_1000 NAC_7_3_1 7771.9290847773
DE EX_X 2019 1000 NAC 7_3_2 DE_EX_X_2019_1000 NAC_7_3_2 215354.562777544
DE EX_X 2019 1000 NAC 7_3_3 DE_EX_X_2019_1000 NAC_7_3_3 170364.444214955
DE EX_X 2019 1000 NAC 7_3_4 DE_EX_X_2019_1000 NAC_7_3_4 168650.56983075
DE EX_X 2019 1000 NAC 7_4 DE_EX_X_2019_1000 NAC_7_4 45014.6882311487
DE EX_X 2019 1000 NAC 8 DE_EX_X_2019_1000 NAC_8 1540.3202470225
DE EX_X 2019 1000 NAC 8_1 DE_EX_X_2019_1000 NAC_8_1 26705.645295587
DE EX_X 2019 1000 NAC 8_2 DE_EX_X_2019_1000 NAC_8_2 617.5151520989
DE EX_X 2019 1000 NAC 9 DE_EX_X_2019_1000 NAC_9 24920.1852695655
DE EX_X 2019 1000 NAC 10 DE_EX_X_2019_1000 NAC_10 57071.1369344774
DE EX_X 2019 1000 NAC 10_1 DE_EX_X_2019_1000 NAC_10_1 2519097.79535257
DE EX_X 2019 1000 NAC 10_1_1 DE_EX_X_2019_1000 NAC_10_1_1 1054395.60196412
DE EX_X 2019 1000 NAC 10_1_2 DE_EX_X_2019_1000 NAC_10_1_2 56468.9121681196
DE EX_X 2019 1000 NAC 10_1_3 DE_EX_X_2019_1000 NAC_10_1_3 130689.311118688
DE EX_X 2019 1000 NAC 10_1_4 DE_EX_X_2019_1000 NAC_10_1_4 272690.710205287
DE EX_X 2019 1000 NAC 10_2 DE_EX_X_2019_1000 NAC_10_2 594546.668472024
DE EX_X 2019 1000 NAC 10_3 DE_EX_X_2019_1000 NAC_10_3 49379.7889232932
DE EX_X 2019 1000 NAC 10_3_1 DE_EX_X_2019_1000 NAC_10_3_1 1342250.12862506
DE EX_X 2019 1000 NAC 10_3_2 DE_EX_X_2019_1000 NAC_10_3_2 492867.479943578
DE EX_X 2019 1000 NAC 10_3_3 DE_EX_X_2019_1000 NAC_10_3_3 555215.641577058
DE EX_X 2019 1000 NAC 10_3_4 DE_EX_X_2019_1000 NAC_10_3_4 259671.081999097
DE EX_X 2019 1000 NAC 10_4 DE_EX_X_2019_1000 NAC_10_4 34495.9251053294
DE P 2018 1000 m3 EU2_1 DE_P_2018_1000 m3_EU2_1 75232.6568754761 EU2
DE P 2018 1000 m3 EU2_1_C DE_P_2018_1000 m3_EU2_1_C 55243.0947717068
DE P 2018 1000 m3 EU2_1_NC DE_P_2018_1000 m3_EU2_1_NC 19989.5621037693
DE P 2018 1000 m3 EU2_1_1 DE_P_2018_1000 m3_EU2_1_1 22384.2241300859
DE P 2018 1000 m3 EU2_1_1_C DE_P_2018_1000 m3_EU2_1_1_C 16171.6143912385
DE P 2018 1000 m3 EU2_1_1_NC DE_P_2018_1000 m3_EU2_1_1_NC 6212.6097388474
DE P 2018 1000 m3 EU2_1_2 DE_P_2018_1000 m3_EU2_1_2 13875.7914727095
DE P 2018 1000 m3 EU2_1_2_C DE_P_2018_1000 m3_EU2_1_2_C 9007.7706729303
DE P 2018 1000 m3 EU2_1_2_NC DE_P_2018_1000 m3_EU2_1_2_NC 4868.0207997792
DE P 2018 1000 m3 EU2_1_3 DE_P_2018_1000 m3_EU2_1_3 38972.6412726807
DE P 2018 1000 m3 EU2_1_3_C DE_P_2018_1000 m3_EU2_1_3_C 30063.7097075381
DE P 2018 1000 m3 EU2_1_3_NC DE_P_2018_1000 m3_EU2_1_3_NC 8908.9315651426
DE P 2019 1000 m3 EU2_1 DE_P_2019_1000 m3_EU2_1 76167.4288895653
DE P 2019 1000 m3 EU2_1_C DE_P_2019_1000 m3_EU2_1_C 56052.8592513275
DE P 2019 1000 m3 EU2_1_NC DE_P_2019_1000 m3_EU2_1_NC 20114.5696382378
DE P 2019 1000 m3 EU2_1_1 DE_P_2019_1000 m3_EU2_1_1 0
DE P 2019 1000 m3 EU2_1_1_C DE_P_2019_1000 m3_EU2_1_1_C 0
DE P 2019 1000 m3 EU2_1_1_NC DE_P_2019_1000 m3_EU2_1_1_NC 0
DE P 2019 1000 m3 EU2_1_2 DE_P_2019_1000 m3_EU2_1_2 0
DE P 2019 1000 m3 EU2_1_2_C DE_P_2019_1000 m3_EU2_1_2_C 0
DE P 2019 1000 m3 EU2_1_2_NC DE_P_2019_1000 m3_EU2_1_2_NC 0
DE P 2019 1000 m3 EU2_1_3 DE_P_2019_1000 m3_EU2_1_3 0
DE P 2019 1000 m3 EU2_1_3_C DE_P_2019_1000 m3_EU2_1_3_C 0
DE P 2019 1000 m3 EU2_1_3_NC DE_P_2019_1000 m3_EU2_1_3_NC 0
DE P.OB 2018 1000 m3 1 DE_P.OB_2018_1000 m3_1 0 OB
DE P.OB 2018 1000 m3 1_C DE_P.OB_2018_1000 m3_1_C 0
DE P.OB 2018 1000 m3 1_NC DE_P.OB_2018_1000 m3_1_NC 0
DE P.OB 2018 1000 m3 1_1 DE_P.OB_2018_1000 m3_1_1 0
DE P.OB 2018 1000 m3 1_1_C DE_P.OB_2018_1000 m3_1_1_C 0
DE P.OB 2018 1000 m3 1_1_NC DE_P.OB_2018_1000 m3_1_1_NC 0
DE P.OB 2018 1000 m3 1_2 DE_P.OB_2018_1000 m3_1_2 0
DE P.OB 2018 1000 m3 1_2_C DE_P.OB_2018_1000 m3_1_2_C 0
DE P.OB 2018 1000 m3 1_2_NC DE_P.OB_2018_1000 m3_1_2_NC 0
DE P.OB 2018 1000 m3 1_2_1 DE_P.OB_2018_1000 m3_1_2_1 0
DE P.OB 2018 1000 m3 1_2_1_C DE_P.OB_2018_1000 m3_1_2_1_C 0
DE P.OB 2018 1000 m3 1_2_1_NC DE_P.OB_2018_1000 m3_1_2_1_NC 0
DE P.OB 2018 1000 m3 1_2_2 DE_P.OB_2018_1000 m3_1_2_2 0
DE P.OB 2018 1000 m3 1_2_2_C DE_P.OB_2018_1000 m3_1_2_2_C 0
DE P.OB 2018 1000 m3 1_2_2_NC DE_P.OB_2018_1000 m3_1_2_2_NC 0
DE P.OB 2018 1000 m3 1_2_3 DE_P.OB_2018_1000 m3_1_2_3 0
DE P.OB 2018 1000 m3 1_2_3_C DE_P.OB_2018_1000 m3_1_2_3_C 0
DE P.OB 2018 1000 m3 1_2_3_NC DE_P.OB_2018_1000 m3_1_2_3_NC ERROR:#REF!
DE P.OB 2019 1000 m3 1 DE_P.OB_2019_1000 m3_1 0
DE P.OB 2019 1000 m3 1_C DE_P.OB_2019_1000 m3_1_C 0
DE P.OB 2019 1000 m3 1_NC DE_P.OB_2019_1000 m3_1_NC 0
DE P.OB 2019 1000 m3 1_1 DE_P.OB_2019_1000 m3_1_1 0
DE P.OB 2019 1000 m3 1_1_C DE_P.OB_2019_1000 m3_1_1_C 0
DE P.OB 2019 1000 m3 1_1_NC DE_P.OB_2019_1000 m3_1_1_NC 0
DE P.OB 2019 1000 m3 1_2 DE_P.OB_2019_1000 m3_1_2 0
DE P.OB 2019 1000 m3 1_2_C DE_P.OB_2019_1000 m3_1_2_C 0
DE P.OB 2019 1000 m3 1_2_NC DE_P.OB_2019_1000 m3_1_2_NC 0
DE P.OB 2019 1000 m3 1_2_1 DE_P.OB_2019_1000 m3_1_2_1 0
DE P.OB 2019 1000 m3 1_2_1_C DE_P.OB_2019_1000 m3_1_2_1_C 0
DE P.OB 2019 1000 m3 1_2_1_NC DE_P.OB_2019_1000 m3_1_2_1_NC 0
DE P.OB 2019 1000 m3 1_2_2 DE_P.OB_2019_1000 m3_1_2_2 0
DE P.OB 2019 1000 m3 1_2_2_C DE_P.OB_2019_1000 m3_1_2_2_C 0
DE P.OB 2019 1000 m3 1_2_2_NC DE_P.OB_2019_1000 m3_1_2_2_NC 0
DE P.OB 2019 1000 m3 1_2_3 DE_P.OB_2019_1000 m3_1_2_3 0
DE P.OB 2019 1000 m3 1_2_3_C DE_P.OB_2019_1000 m3_1_2_3_C 0
DE P.OB 2019 1000 m3 1_2_3_NC DE_P.OB_2019_1000 m3_1_2_3_NC ERROR:#REF!

Database

Country Flow Year Unit Product conc
DE P 2015 1000 m3 1 DE_P_2015_1000 m3_1
DE P 2015 1000 m3 1_C DE_P_2015_1000 m3_1_C
DE P 2015 1000 m3 1_NC DE_P_2015_1000 m3_1_NC
DE P 2015 1000 m3 1_1 DE_P_2015_1000 m3_1_1
DE P 2015 1000 m3 1_1_C DE_P_2015_1000 m3_1_1_C
DE P 2015 1000 m3 1_1_NC DE_P_2015_1000 m3_1_1_NC
DE P 2015 1000 m3 1_2 DE_P_2015_1000 m3_1_2
DE P 2015 1000 m3 1_2_C DE_P_2015_1000 m3_1_2_C
DE P 2015 1000 m3 1_2_NC DE_P_2015_1000 m3_1_2_NC
DE P 2015 1000 m3 1_2_1 DE_P_2015_1000 m3_1_2_1
DE P 2015 1000 m3 1_2_1_C DE_P_2015_1000 m3_1_2_1_C
DE P 2015 1000 m3 1_2_1_NC DE_P_2015_1000 m3_1_2_1_NC
DE P 2015 1000 m3 1_2_2 DE_P_2015_1000 m3_1_2_2
DE P 2015 1000 m3 1_2_2_C DE_P_2015_1000 m3_1_2_2_C
DE P 2015 1000 m3 1_2_2_NC DE_P_2015_1000 m3_1_2_2_NC
DE P 2015 1000 m3 1_2_3 DE_P_2015_1000 m3_1_2_3
DE P 2015 1000 m3 1_2_3_C DE_P_2015_1000 m3_1_2_3_C
DE P 2015 1000 m3 1_2_3_NC DE_P_2015_1000 m3_1_2_3_NC
DE P 2015 1000 mt 2 DE_P_2015_1000 mt_2
DE P 2015 1000 m3 3 DE_P_2015_1000 m3_3
DE P 2015 1000 m3 3_1 DE_P_2015_1000 m3_3_1
DE P 2015 1000 m3 3_2 DE_P_2015_1000 m3_3_2
DE P 2015 1000 mt 4 DE_P_2015_1000 mt_4
DE P 2015 1000 mt 4_1 DE_P_2015_1000 mt_4_1
DE P 2015 1000 mt 4_2 DE_P_2015_1000 mt_4_2
DE P 2015 1000 m3 5 DE_P_2015_1000 m3_5
DE P 2015 1000 m3 5_C DE_P_2015_1000 m3_5_C
DE P 2015 1000 m3 5_NC DE_P_2015_1000 m3_5_NC
DE P 2015 1000 m3 5_NC_T DE_P_2015_1000 m3_5_NC_T
DE P 2015 1000 m3 6 DE_P_2015_1000 m3_6
DE P 2015 1000 m3 6_1 DE_P_2015_1000 m3_6_1
DE P 2015 1000 m3 6_1_C DE_P_2015_1000 m3_6_1_C
DE P 2015 1000 m3 6_1_NC DE_P_2015_1000 m3_6_1_NC
DE P 2015 1000 m3 6_1_NC_T DE_P_2015_1000 m3_6_1_NC_T
DE P 2015 1000 m3 6_2 DE_P_2015_1000 m3_6_2
DE P 2015 1000 m3 6_2_C DE_P_2015_1000 m3_6_2_C
DE P 2015 1000 m3 6_2_NC DE_P_2015_1000 m3_6_2_NC
DE P 2015 1000 m3 6_2_NC_T DE_P_2015_1000 m3_6_2_NC_T
DE P 2015 1000 m3 6_3 DE_P_2015_1000 m3_6_3
DE P 2015 1000 m3 6_3_1 DE_P_2015_1000 m3_6_3_1
DE P 2015 1000 m3 6_4 DE_P_2015_1000 m3_6_4
DE P 2015 1000 m3 6_4_1 DE_P_2015_1000 m3_6_4_1
DE P 2015 1000 m3 6_4_2 DE_P_2015_1000 m3_6_4_2
DE P 2015 1000 m3 6_4_3 DE_P_2015_1000 m3_6_4_3
DE P 2015 1000 mt 7 DE_P_2015_1000 mt_7
DE P 2015 1000 mt 7_1 DE_P_2015_1000 mt_7_1
DE P 2015 1000 mt 7_2 DE_P_2015_1000 mt_7_2
DE P 2015 1000 mt 7_3 DE_P_2015_1000 mt_7_3
DE P 2015 1000 mt 7_3_1 DE_P_2015_1000 mt_7_3_1
DE P 2015 1000 mt 7_3_2 DE_P_2015_1000 mt_7_3_2
DE P 2015 1000 mt 7_3_3 DE_P_2015_1000 mt_7_3_3
DE P 2015 1000 mt 7_3_4 DE_P_2015_1000 mt_7_3_4
DE P 2015 1000 mt 7_4 DE_P_2015_1000 mt_7_4
DE P 2015 1000 mt 8 DE_P_2015_1000 mt_8
DE P 2015 1000 mt 8_1 DE_P_2015_1000 mt_8_1
DE P 2015 1000 mt 8_2 DE_P_2015_1000 mt_8_2
DE P 2015 1000 mt 9 DE_P_2015_1000 mt_9
DE P 2015 1000 mt 10 DE_P_2015_1000 mt_10
DE P 2015 1000 mt 10_1 DE_P_2015_1000 mt_10_1
DE P 2015 1000 mt 10_1_1 DE_P_2015_1000 mt_10_1_1
DE P 2015 1000 mt 10_1_2 DE_P_2015_1000 mt_10_1_2
DE P 2015 1000 mt 10_1_3 DE_P_2015_1000 mt_10_1_3
DE P 2015 1000 mt 10_1_4 DE_P_2015_1000 mt_10_1_4
DE P 2015 1000 mt 10_2 DE_P_2015_1000 mt_10_2
DE P 2015 1000 mt 10_3 DE_P_2015_1000 mt_10_3
DE P 2015 1000 mt 10_3_1 DE_P_2015_1000 mt_10_3_1
DE P 2015 1000 mt 10_3_2 DE_P_2015_1000 mt_10_3_2
DE P 2015 1000 mt 10_3_3 DE_P_2015_1000 mt_10_3_3
DE P 2015 1000 mt 10_3_4 DE_P_2015_1000 mt_10_3_4
DE P 2015 1000 mt 10_4 DE_P_2015_1000 mt_10_4
DE M 2015 1000 m3 1 DE_M_2015_1000 m3_1
DE M 2015 1000 m3 1_1 DE_M_2015_1000 m3_1_1
DE M 2015 1000 m3 1_2 DE_M_2015_1000 m3_1_2
DE M 2015 1000 m3 1_2_C DE_M_2015_1000 m3_1_2_C
DE M 2015 1000 m3 1_2_NC DE_M_2015_1000 m3_1_2_NC
DE M 2015 1000 m3 1_2_NC_T DE_M_2015_1000 m3_1_2_NC_T
DE M 2015 1000 mt 2 DE_M_2015_1000 mt_2
DE M 2015 1000 m3 3 DE_M_2015_1000 m3_3
DE M 2015 1000 m3 3_1 DE_M_2015_1000 m3_3_1
DE M 2015 1000 m3 3_2 DE_M_2015_1000 m3_3_2
DE M 2015 1000 mt 4 DE_M_2015_1000 mt_4
DE M 2015 1000 mt 4_1 DE_M_2015_1000 mt_4_1
DE M 2015 1000 mt 4_2 DE_M_2015_1000 mt_4_2
DE M 2015 1000 m3 5 DE_M_2015_1000 m3_5
DE M 2015 1000 m3 5_C DE_M_2015_1000 m3_5_C
DE M 2015 1000 m3 5_NC DE_M_2015_1000 m3_5_NC
DE M 2015 1000 m3 5_NC_T DE_M_2015_1000 m3_5_NC_T
DE M 2015 1000 m3 6 DE_M_2015_1000 m3_6
DE M 2015 1000 m3 6_1 DE_M_2015_1000 m3_6_1
DE M 2015 1000 m3 6_1_C DE_M_2015_1000 m3_6_1_C
DE M 2015 1000 m3 6_1_NC DE_M_2015_1000 m3_6_1_NC
DE M 2015 1000 m3 6_1_NC_T DE_M_2015_1000 m3_6_1_NC_T
DE M 2015 1000 m3 6_2 DE_M_2015_1000 m3_6_2
DE M 2015 1000 m3 6_2_C DE_M_2015_1000 m3_6_2_C
DE M 2015 1000 m3 6_2_NC DE_M_2015_1000 m3_6_2_NC
DE M 2015 1000 m3 6_2_NC_T DE_M_2015_1000 m3_6_2_NC_T
DE M 2015 1000 m3 6_3 DE_M_2015_1000 m3_6_3
DE M 2015 1000 m3 6_3_1 DE_M_2015_1000 m3_6_3_1
DE M 2015 1000 m3 6_4 DE_M_2015_1000 m3_6_4
DE M 2015 1000 m3 6_4_1 DE_M_2015_1000 m3_6_4_1
DE M 2015 1000 m3 6_4_2 DE_M_2015_1000 m3_6_4_2
DE M 2015 1000 m3 6_4_3 DE_M_2015_1000 m3_6_4_3
DE M 2015 1000 mt 7 DE_M_2015_1000 mt_7
DE M 2015 1000 mt 7_1 DE_M_2015_1000 mt_7_1
DE M 2015 1000 mt 7_2 DE_M_2015_1000 mt_7_2
DE M 2015 1000 mt 7_3 DE_M_2015_1000 mt_7_3
DE M 2015 1000 mt 7_3_1 DE_M_2015_1000 mt_7_3_1
DE M 2015 1000 mt 7_3_2 DE_M_2015_1000 mt_7_3_2
DE M 2015 1000 mt 7_3_3 DE_M_2015_1000 mt_7_3_3
DE M 2015 1000 mt 7_3_4 DE_M_2015_1000 mt_7_3_4
DE M 2015 1000 mt 7_4 DE_M_2015_1000 mt_7_4
DE M 2015 1000 mt 8 DE_M_2015_1000 mt_8
DE M 2015 1000 mt 8_1 DE_M_2015_1000 mt_8_1
DE M 2015 1000 mt 8_2 DE_M_2015_1000 mt_8_2
DE M 2015 1000 mt 9 DE_M_2015_1000 mt_9
DE M 2015 1000 mt 10 DE_M_2015_1000 mt_10
DE M 2015 1000 mt 10_1 DE_M_2015_1000 mt_10_1
DE M 2015 1000 mt 10_1_1 DE_M_2015_1000 mt_10_1_1
DE M 2015 1000 mt 10_1_2 DE_M_2015_1000 mt_10_1_2
DE M 2015 1000 mt 10_1_3 DE_M_2015_1000 mt_10_1_3
DE M 2015 1000 mt 10_1_4 DE_M_2015_1000 mt_10_1_4
DE M 2015 1000 mt 10_2 DE_M_2015_1000 mt_10_2
DE M 2015 1000 mt 10_3 DE_M_2015_1000 mt_10_3
DE M 2015 1000 mt 10_3_1 DE_M_2015_1000 mt_10_3_1
DE M 2015 1000 mt 10_3_2 DE_M_2015_1000 mt_10_3_2
DE M 2015 1000 mt 10_3_3 DE_M_2015_1000 mt_10_3_3
DE M 2015 1000 mt 10_3_4 DE_M_2015_1000 mt_10_3_4
DE M 2015 1000 mt 10_4 DE_M_2015_1000 mt_10_4
DE M 2015 1000 NAC 1 DE_M_2015_1000 NAC_1
DE M 2015 1000 NAC 1_1 DE_M_2015_1000 NAC_1_1
DE M 2015 1000 NAC 1_2 DE_M_2015_1000 NAC_1_2
DE M 2015 1000 NAC 1_2_C DE_M_2015_1000 NAC_1_2_C
DE M 2015 1000 NAC 1_2_NC DE_M_2015_1000 NAC_1_2_NC
DE M 2015 1000 NAC 1_2_NC_T DE_M_2015_1000 NAC_1_2_NC_T
DE M 2015 1000 NAC 2 DE_M_2015_1000 NAC_2
DE M 2015 1000 NAC 3 DE_M_2015_1000 NAC_3
DE M 2015 1000 NAC 3_1 DE_M_2015_1000 NAC_3_1
DE M 2015 1000 NAC 3_2 DE_M_2015_1000 NAC_3_2
DE M 2015 1000 NAC 4 DE_M_2015_1000 NAC_4
DE M 2015 1000 NAC 4_1 DE_M_2015_1000 NAC_4_1
DE M 2015 1000 NAC 4_2 DE_M_2015_1000 NAC_4_2
DE M 2015 1000 NAC 5 DE_M_2015_1000 NAC_5
DE M 2015 1000 NAC 5_C DE_M_2015_1000 NAC_5_C
DE M 2015 1000 NAC 5_NC DE_M_2015_1000 NAC_5_NC
DE M 2015 1000 NAC 5_NC_T DE_M_2015_1000 NAC_5_NC_T
DE M 2015 1000 NAC 6 DE_M_2015_1000 NAC_6
DE M 2015 1000 NAC 6_1 DE_M_2015_1000 NAC_6_1
DE M 2015 1000 NAC 6_1_C DE_M_2015_1000 NAC_6_1_C
DE M 2015 1000 NAC 6_1_NC DE_M_2015_1000 NAC_6_1_NC
DE M 2015 1000 NAC 6_1_NC_T DE_M_2015_1000 NAC_6_1_NC_T
DE M 2015 1000 NAC 6_2 DE_M_2015_1000 NAC_6_2
DE M 2015 1000 NAC 6_2_C DE_M_2015_1000 NAC_6_2_C
DE M 2015 1000 NAC 6_2_NC DE_M_2015_1000 NAC_6_2_NC
DE M 2015 1000 NAC 6_2_NC_T DE_M_2015_1000 NAC_6_2_NC_T
DE M 2015 1000 NAC 6_3 DE_M_2015_1000 NAC_6_3
DE M 2015 1000 NAC 6_3_1 DE_M_2015_1000 NAC_6_3_1
DE M 2015 1000 NAC 6_4 DE_M_2015_1000 NAC_6_4
DE M 2015 1000 NAC 6_4_1 DE_M_2015_1000 NAC_6_4_1
DE M 2015 1000 NAC 6_4_2 DE_M_2015_1000 NAC_6_4_2
DE M 2015 1000 NAC 6_4_3 DE_M_2015_1000 NAC_6_4_3
DE M 2015 1000 NAC 7 DE_M_2015_1000 NAC_7
DE M 2015 1000 NAC 7_1 DE_M_2015_1000 NAC_7_1
DE M 2015 1000 NAC 7_2 DE_M_2015_1000 NAC_7_2
DE M 2015 1000 NAC 7_3 DE_M_2015_1000 NAC_7_3
DE M 2015 1000 NAC 7_3_1 DE_M_2015_1000 NAC_7_3_1
DE M 2015 1000 NAC 7_3_2 DE_M_2015_1000 NAC_7_3_2
DE M 2015 1000 NAC 7_3_3 DE_M_2015_1000 NAC_7_3_3
DE M 2015 1000 NAC 7_3_4 DE_M_2015_1000 NAC_7_3_4
DE M 2015 1000 NAC 7_4 DE_M_2015_1000 NAC_7_4
DE M 2015 1000 NAC 8 DE_M_2015_1000 NAC_8
DE M 2015 1000 NAC 8_1 DE_M_2015_1000 NAC_8_1
DE M 2015 1000 NAC 8_2 DE_M_2015_1000 NAC_8_2
DE M 2015 1000 NAC 9 DE_M_2015_1000 NAC_9
DE M 2015 1000 NAC 10 DE_M_2015_1000 NAC_10
DE M 2015 1000 NAC 10_1 DE_M_2015_1000 NAC_10_1
DE M 2015 1000 NAC 10_1_1 DE_M_2015_1000 NAC_10_1_1
DE M 2015 1000 NAC 10_1_2 DE_M_2015_1000 NAC_10_1_2
DE M 2015 1000 NAC 10_1_3 DE_M_2015_1000 NAC_10_1_3
DE M 2015 1000 NAC 10_1_4 DE_M_2015_1000 NAC_10_1_4
DE M 2015 1000 NAC 10_2 DE_M_2015_1000 NAC_10_2
DE M 2015 1000 NAC 10_3 DE_M_2015_1000 NAC_10_3
DE M 2015 1000 NAC 10_3_1 DE_M_2015_1000 NAC_10_3_1
DE M 2015 1000 NAC 10_3_2 DE_M_2015_1000 NAC_10_3_2
DE M 2015 1000 NAC 10_3_3 DE_M_2015_1000 NAC_10_3_3
DE M 2015 1000 NAC 10_3_4 DE_M_2015_1000 NAC_10_3_4
DE M 2015 1000 NAC 10_4 DE_M_2015_1000 NAC_10_4
DE X 2015 1000 m3 1 DE_X_2015_1000 m3_1
DE X 2015 1000 m3 1_1 DE_X_2015_1000 m3_1_1
DE X 2015 1000 m3 1_2 DE_X_2015_1000 m3_1_2
DE X 2015 1000 m3 1_2_C DE_X_2015_1000 m3_1_2_C
DE X 2015 1000 m3 1_2_NC DE_X_2015_1000 m3_1_2_NC
DE X 2015 1000 m3 1_2_NC_T DE_X_2015_1000 m3_1_2_NC_T
DE X 2015 1000 mt 2 DE_X_2015_1000 mt_2
DE X 2015 1000 m3 3 DE_X_2015_1000 m3_3
DE X 2015 1000 m3 3_1 DE_X_2015_1000 m3_3_1
DE X 2015 1000 m3 3_2 DE_X_2015_1000 m3_3_2
DE X 2015 1000 mt 4 DE_X_2015_1000 mt_4
DE X 2015 1000 mt 4_1 DE_X_2015_1000 mt_4_1
DE X 2015 1000 mt 4_2 DE_X_2015_1000 mt_4_2
DE X 2015 1000 m3 5 DE_X_2015_1000 m3_5
DE X 2015 1000 m3 5_C DE_X_2015_1000 m3_5_C
DE X 2015 1000 m3 5_NC DE_X_2015_1000 m3_5_NC
DE X 2015 1000 m3 5_NC_T DE_X_2015_1000 m3_5_NC_T
DE X 2015 1000 m3 6 DE_X_2015_1000 m3_6
DE X 2015 1000 m3 6_1 DE_X_2015_1000 m3_6_1
DE X 2015 1000 m3 6_1_C DE_X_2015_1000 m3_6_1_C
DE X 2015 1000 m3 6_1_NC DE_X_2015_1000 m3_6_1_NC
DE X 2015 1000 m3 6_1_NC_T DE_X_2015_1000 m3_6_1_NC_T
DE X 2015 1000 m3 6_2 DE_X_2015_1000 m3_6_2
DE X 2015 1000 m3 6_2_C DE_X_2015_1000 m3_6_2_C
DE X 2015 1000 m3 6_2_NC DE_X_2015_1000 m3_6_2_NC
DE X 2015 1000 m3 6_2_NC_T DE_X_2015_1000 m3_6_2_NC_T
DE X 2015 1000 m3 6_3 DE_X_2015_1000 m3_6_3
DE X 2015 1000 m3 6_3_1 DE_X_2015_1000 m3_6_3_1
DE X 2015 1000 m3 6_4 DE_X_2015_1000 m3_6_4
DE X 2015 1000 m3 6_4_1 DE_X_2015_1000 m3_6_4_1
DE X 2015 1000 m3 6_4_2 DE_X_2015_1000 m3_6_4_2
DE X 2015 1000 m3 6_4_3 DE_X_2015_1000 m3_6_4_3
DE X 2015 1000 mt 7 DE_X_2015_1000 mt_7
DE X 2015 1000 mt 7_1 DE_X_2015_1000 mt_7_1
DE X 2015 1000 mt 7_2 DE_X_2015_1000 mt_7_2
DE X 2015 1000 mt 7_3 DE_X_2015_1000 mt_7_3
DE X 2015 1000 mt 7_3_1 DE_X_2015_1000 mt_7_3_1
DE X 2015 1000 mt 7_3_2 DE_X_2015_1000 mt_7_3_2
DE X 2015 1000 mt 7_3_3 DE_X_2015_1000 mt_7_3_3
DE X 2015 1000 mt 7_3_4 DE_X_2015_1000 mt_7_3_4
DE X 2015 1000 mt 7_4 DE_X_2015_1000 mt_7_4
DE X 2015 1000 mt 8 DE_X_2015_1000 mt_8
DE X 2015 1000 mt 8_1 DE_X_2015_1000 mt_8_1
DE X 2015 1000 mt 8_2 DE_X_2015_1000 mt_8_2
DE X 2015 1000 mt 9 DE_X_2015_1000 mt_9
DE X 2015 1000 mt 10 DE_X_2015_1000 mt_10
DE X 2015 1000 mt 10_1 DE_X_2015_1000 mt_10_1
DE X 2015 1000 mt 10_1_1 DE_X_2015_1000 mt_10_1_1
DE X 2015 1000 mt 10_1_2 DE_X_2015_1000 mt_10_1_2
DE X 2015 1000 mt 10_1_3 DE_X_2015_1000 mt_10_1_3
DE X 2015 1000 mt 10_1_4 DE_X_2015_1000 mt_10_1_4
DE X 2015 1000 mt 10_2 DE_X_2015_1000 mt_10_2
DE X 2015 1000 mt 10_3 DE_X_2015_1000 mt_10_3
DE X 2015 1000 mt 10_3_1 DE_X_2015_1000 mt_10_3_1
DE X 2015 1000 mt 10_3_2 DE_X_2015_1000 mt_10_3_2
DE X 2015 1000 mt 10_3_3 DE_X_2015_1000 mt_10_3_3
DE X 2015 1000 mt 10_3_4 DE_X_2015_1000 mt_10_3_4
DE X 2015 1000 mt 10_4 DE_X_2015_1000 mt_10_4
DE X 2015 1000 NAC 1 DE_X_2015_1000 NAC_1
DE X 2015 1000 NAC 1_1 DE_X_2015_1000 NAC_1_1
DE X 2015 1000 NAC 1_2 DE_X_2015_1000 NAC_1_2
DE X 2015 1000 NAC 1_2_C DE_X_2015_1000 NAC_1_2_C
DE X 2015 1000 NAC 1_2_NC DE_X_2015_1000 NAC_1_2_NC
DE X 2015 1000 NAC 1_2_NC_T DE_X_2015_1000 NAC_1_2_NC_T
DE X 2015 1000 NAC 2 DE_X_2015_1000 NAC_2
DE X 2015 1000 NAC 3 DE_X_2015_1000 NAC_3
DE X 2015 1000 NAC 3_1 DE_X_2015_1000 NAC_3_1
DE X 2015 1000 NAC 3_2 DE_X_2015_1000 NAC_3_2
DE X 2015 1000 NAC 4 DE_X_2015_1000 NAC_4
DE X 2015 1000 NAC 4_1 DE_X_2015_1000 NAC_4_1
DE X 2015 1000 NAC 4_2 DE_X_2015_1000 NAC_4_2
DE X 2015 1000 NAC 5 DE_X_2015_1000 NAC_5
DE X 2015 1000 NAC 5_C DE_X_2015_1000 NAC_5_C
DE X 2015 1000 NAC 5_NC DE_X_2015_1000 NAC_5_NC
DE X 2015 1000 NAC 5_NC_T DE_X_2015_1000 NAC_5_NC_T
DE X 2015 1000 NAC 6 DE_X_2015_1000 NAC_6
DE X 2015 1000 NAC 6_1 DE_X_2015_1000 NAC_6_1
DE X 2015 1000 NAC 6_1_C DE_X_2015_1000 NAC_6_1_C
DE X 2015 1000 NAC 6_1_NC DE_X_2015_1000 NAC_6_1_NC
DE X 2015 1000 NAC 6_1_NC_T DE_X_2015_1000 NAC_6_1_NC_T
DE X 2015 1000 NAC 6_2 DE_X_2015_1000 NAC_6_2
DE X 2015 1000 NAC 6_2_C DE_X_2015_1000 NAC_6_2_C
DE X 2015 1000 NAC 6_2_NC DE_X_2015_1000 NAC_6_2_NC
DE X 2015 1000 NAC 6_2_NC_T DE_X_2015_1000 NAC_6_2_NC_T
DE X 2015 1000 NAC 6_3 DE_X_2015_1000 NAC_6_3
DE X 2015 1000 NAC 6_3_1 DE_X_2015_1000 NAC_6_3_1
DE X 2015 1000 NAC 6_4 DE_X_2015_1000 NAC_6_4
DE X 2015 1000 NAC 6_4_1 DE_X_2015_1000 NAC_6_4_1
DE X 2015 1000 NAC 6_4_2 DE_X_2015_1000 NAC_6_4_2
DE X 2015 1000 NAC 6_4_3 DE_X_2015_1000 NAC_6_4_3
DE X 2015 1000 NAC 7 DE_X_2015_1000 NAC_7
DE X 2015 1000 NAC 7_1 DE_X_2015_1000 NAC_7_1
DE X 2015 1000 NAC 7_2 DE_X_2015_1000 NAC_7_2
DE X 2015 1000 NAC 7_3 DE_X_2015_1000 NAC_7_3
DE X 2015 1000 NAC 7_3_1 DE_X_2015_1000 NAC_7_3_1
DE X 2015 1000 NAC 7_3_2 DE_X_2015_1000 NAC_7_3_2
DE X 2015 1000 NAC 7_3_3 DE_X_2015_1000 NAC_7_3_3
DE X 2015 1000 NAC 7_3_4 DE_X_2015_1000 NAC_7_3_4
DE X 2015 1000 NAC 7_4 DE_X_2015_1000 NAC_7_4
DE X 2015 1000 NAC 8 DE_X_2015_1000 NAC_8
DE X 2015 1000 NAC 8_1 DE_X_2015_1000 NAC_8_1
DE X 2015 1000 NAC 8_2 DE_X_2015_1000 NAC_8_2
DE X 2015 1000 NAC 9 DE_X_2015_1000 NAC_9
DE X 2015 1000 NAC 10 DE_X_2015_1000 NAC_10
DE X 2015 1000 NAC 10_1 DE_X_2015_1000 NAC_10_1
DE X 2015 1000 NAC 10_1_1 DE_X_2015_1000 NAC_10_1_1
DE X 2015 1000 NAC 10_1_2 DE_X_2015_1000 NAC_10_1_2
DE X 2015 1000 NAC 10_1_3 DE_X_2015_1000 NAC_10_1_3
DE X 2015 1000 NAC 10_1_4 DE_X_2015_1000 NAC_10_1_4
DE X 2015 1000 NAC 10_2 DE_X_2015_1000 NAC_10_2
DE X 2015 1000 NAC 10_3 DE_X_2015_1000 NAC_10_3
DE X 2015 1000 NAC 10_3_1 DE_X_2015_1000 NAC_10_3_1
DE X 2015 1000 NAC 10_3_2 DE_X_2015_1000 NAC_10_3_2
DE X 2015 1000 NAC 10_3_3 DE_X_2015_1000 NAC_10_3_3
DE X 2015 1000 NAC 10_3_4 DE_X_2015_1000 NAC_10_3_4
DE X 2015 1000 NAC 10_4 DE_X_2015_1000 NAC_10_4
DE M 2015 1000 NAC 11_1 DE_M_2015_1000 NAC_11_1
DE M 2015 1000 NAC 11_1_C DE_M_2015_1000 NAC_11_1_C
DE M 2015 1000 NAC 11_1_NC DE_M_2015_1000 NAC_11_1_NC
DE M 2015 1000 NAC 11_1_NC_T DE_M_2015_1000 NAC_11_1_NC_T
DE M 2015 1000 NAC 11_2 DE_M_2015_1000 NAC_11_2
DE M 2015 1000 NAC 11_3 DE_M_2015_1000 NAC_11_3
DE M 2015 1000 NAC 11_4 DE_M_2015_1000 NAC_11_4
DE M 2015 1000 NAC 11_5 DE_M_2015_1000 NAC_11_5
DE M 2015 1000 NAC 11_6 DE_M_2015_1000 NAC_11_6
DE M 2015 1000 NAC 11_7 DE_M_2015_1000 NAC_11_7
DE M 2015 1000 NAC 11_7_1 DE_M_2015_1000 NAC_11_7_1
DE M 2015 1000 NAC 12_1 DE_M_2015_1000 NAC_12_1
DE M 2015 1000 NAC 12_2 DE_M_2015_1000 NAC_12_2
DE M 2015 1000 NAC 12_3 DE_M_2015_1000 NAC_12_3
DE M 2015 1000 NAC 12_4 DE_M_2015_1000 NAC_12_4
DE M 2015 1000 NAC 12_5 DE_M_2015_1000 NAC_12_5
DE M 2015 1000 NAC 12_6 DE_M_2015_1000 NAC_12_6
DE M 2015 1000 NAC 12_6_1 DE_M_2015_1000 NAC_12_6_1
DE M 2015 1000 NAC 12_6_2 DE_M_2015_1000 NAC_12_6_2
DE M 2015 1000 NAC 12_6_3 DE_M_2015_1000 NAC_12_6_3
DE M 2015 1000 NAC 12_7 DE_M_2015_1000 NAC_12_7
DE M 2015 1000 NAC 12_7_1 DE_M_2015_1000 NAC_12_7_1
DE M 2015 1000 NAC 12_7_2 DE_M_2015_1000 NAC_12_7_2
DE M 2015 1000 NAC 12_7_3 DE_M_2015_1000 NAC_12_7_3
DE X 2015 1000 NAC 11_1 DE_X_2015_1000 NAC_11_1
DE X 2015 1000 NAC 11_1_C DE_X_2015_1000 NAC_11_1_C
DE X 2015 1000 NAC 11_1_NC DE_X_2015_1000 NAC_11_1_NC
DE X 2015 1000 NAC 11_1_NC_T DE_X_2015_1000 NAC_11_1_NC_T
DE X 2015 1000 NAC 11_2 DE_X_2015_1000 NAC_11_2
DE X 2015 1000 NAC 11_3 DE_X_2015_1000 NAC_11_3
DE X 2015 1000 NAC 11_4 DE_X_2015_1000 NAC_11_4
DE X 2015 1000 NAC 11_5 DE_X_2015_1000 NAC_11_5
DE X 2015 1000 NAC 11_6 DE_X_2015_1000 NAC_11_6
DE X 2015 1000 NAC 11_7 DE_X_2015_1000 NAC_11_7
DE X 2015 1000 NAC 11_7_1 DE_X_2015_1000 NAC_11_7_1
DE X 2015 1000 NAC 12_1 DE_X_2015_1000 NAC_12_1
DE X 2015 1000 NAC 12_2 DE_X_2015_1000 NAC_12_2
DE X 2015 1000 NAC 12_3 DE_X_2015_1000 NAC_12_3
DE X 2015 1000 NAC 12_4 DE_X_2015_1000 NAC_12_4
DE X 2015 1000 NAC 12_5 DE_X_2015_1000 NAC_12_5
DE X 2015 1000 NAC 12_6 DE_X_2015_1000 NAC_12_6
DE X 2015 1000 NAC 12_6_1 DE_X_2015_1000 NAC_12_6_1
DE X 2015 1000 NAC 12_6_2 DE_X_2015_1000 NAC_12_6_2
DE X 2015 1000 NAC 12_6_3 DE_X_2015_1000 NAC_12_6_3
DE X 2015 1000 NAC 12_7 DE_X_2015_1000 NAC_12_7
DE X 2015 1000 NAC 12_7_1 DE_X_2015_1000 NAC_12_7_1
DE X 2015 1000 NAC 12_7_2 DE_X_2015_1000 NAC_12_7_2
DE X 2015 1000 NAC 12_7_3 DE_X_2015_1000 NAC_12_7_3
DE M 2015 1000 m3 ST_1_2_C DE_M_2015_1000 m3_ST_1_2_C
DE M 2015 1000 m3 ST_1_2_C_1 DE_M_2015_1000 m3_ST_1_2_C_1
DE M 2015 1000 m3 ST_1_2_C_1_1 DE_M_2015_1000 m3_ST_1_2_C_1_1
DE M 2015 1000 m3 ST_1_2_C_2_1 DE_M_2015_1000 m3_ST_1_2_C_2_1
DE M 2015 1000 m3 ST_1_2_C_2 DE_M_2015_1000 m3_ST_1_2_C_2
DE M 2015 1000 m3 ST_1_2_C_1_2 DE_M_2015_1000 m3_ST_1_2_C_1_2
DE M 2015 1000 m3 ST_1_2_C_2_2 DE_M_2015_1000 m3_ST_1_2_C_2_2
DE M 2015 1000 m3 ST_1_2_C_3 DE_M_2015_1000 m3_ST_1_2_C_3
DE M 2015 1000 m3 ST_1_2_C_1_3 DE_M_2015_1000 m3_ST_1_2_C_1_3
DE M 2015 1000 m3 ST_1_2_C_2_3 DE_M_2015_1000 m3_ST_1_2_C_2_3
DE M 2015 1000 m3 ST_1_2_NC DE_M_2015_1000 m3_ST_1_2_NC
DE M 2015 1000 m3 ST_1_2_NC_1 DE_M_2015_1000 m3_ST_1_2_NC_1
DE M 2015 1000 m3 ST_1_2_NC_1_1 DE_M_2015_1000 m3_ST_1_2_NC_1_1
DE M 2015 1000 m3 ST_1_2_NC_2_1 DE_M_2015_1000 m3_ST_1_2_NC_2_1
DE M 2015 1000 m3 ST_1_2_NC_2 DE_M_2015_1000 m3_ST_1_2_NC_2
DE M 2015 1000 m3 ST_1_2_NC_1_2 DE_M_2015_1000 m3_ST_1_2_NC_1_2
DE M 2015 1000 m3 ST_1_2_NC_2_2 DE_M_2015_1000 m3_ST_1_2_NC_2_2
DE M 2015 1000 m3 ST_1_2_NC_3 DE_M_2015_1000 m3_ST_1_2_NC_3
DE M 2015 1000 m3 ST_1_2_NC_1_3 DE_M_2015_1000 m3_ST_1_2_NC_1_3
DE M 2015 1000 m3 ST_1_2_NC_2_3 DE_M_2015_1000 m3_ST_1_2_NC_2_3
DE M 2015 1000 m3 ST_1_2_NC_4 DE_M_2015_1000 m3_ST_1_2_NC_4
DE M 2015 1000 m3 ST_1_2_NC_5 DE_M_2015_1000 m3_ST_1_2_NC_5
DE M 2015 1000 m3 ST_5_C DE_M_2015_1000 m3_ST_5_C
DE M 2015 1000 m3 ST_5_C_1 DE_M_2015_1000 m3_ST_5_C_1
DE M 2015 1000 m3 ST_5_C_2 DE_M_2015_1000 m3_ST_5_C_2
DE M 2015 1000 m3 ST_5_NC DE_M_2015_1000 m3_ST_5_NC
DE M 2015 1000 m3 ST_5_NC_1 DE_M_2015_1000 m3_ST_5_NC_1
DE M 2015 1000 m3 ST_5_NC_2 DE_M_2015_1000 m3_ST_5_NC_2
DE M 2015 1000 m3 ST_5_NC_3 DE_M_2015_1000 m3_ST_5_NC_3
DE M 2015 1000 m3 ST_5_NC_4 DE_M_2015_1000 m3_ST_5_NC_4
DE M 2015 1000 m3 ST_5_NC_5 DE_M_2015_1000 m3_ST_5_NC_5
DE M 2015 1000 m3 ST_5_NC_6 DE_M_2015_1000 m3_ST_5_NC_6
DE M 2015 1000 m3 ST_5_NC_7 DE_M_2015_1000 m3_ST_5_NC_7
DE M 2015 1000 NAC ST_1_2_C DE_M_2015_1000 NAC_ST_1_2_C
DE M 2015 1000 NAC ST_1_2_C_1 DE_M_2015_1000 NAC_ST_1_2_C_1
DE M 2015 1000 NAC ST_1_2_C_1_1 DE_M_2015_1000 NAC_ST_1_2_C_1_1
DE M 2015 1000 NAC ST_1_2_C_2_1 DE_M_2015_1000 NAC_ST_1_2_C_2_1
DE M 2015 1000 NAC ST_1_2_C_2 DE_M_2015_1000 NAC_ST_1_2_C_2
DE M 2015 1000 NAC ST_1_2_C_1_2 DE_M_2015_1000 NAC_ST_1_2_C_1_2
DE M 2015 1000 NAC ST_1_2_C_2_2 DE_M_2015_1000 NAC_ST_1_2_C_2_2
DE M 2015 1000 NAC ST_1_2_C_3 DE_M_2015_1000 NAC_ST_1_2_C_3
DE M 2015 1000 NAC ST_1_2_C_1_3 DE_M_2015_1000 NAC_ST_1_2_C_1_3
DE M 2015 1000 NAC ST_1_2_C_2_3 DE_M_2015_1000 NAC_ST_1_2_C_2_3
DE M 2015 1000 NAC ST_1_2_NC DE_M_2015_1000 NAC_ST_1_2_NC
DE M 2015 1000 NAC ST_1_2_NC_1 DE_M_2015_1000 NAC_ST_1_2_NC_1
DE M 2015 1000 NAC ST_1_2_NC_1_1 DE_M_2015_1000 NAC_ST_1_2_NC_1_1
DE M 2015 1000 NAC ST_1_2_NC_2_1 DE_M_2015_1000 NAC_ST_1_2_NC_2_1
DE M 2015 1000 NAC ST_1_2_NC_2 DE_M_2015_1000 NAC_ST_1_2_NC_2
DE M 2015 1000 NAC ST_1_2_NC_1_2 DE_M_2015_1000 NAC_ST_1_2_NC_1_2
DE M 2015 1000 NAC ST_1_2_NC_2_2 DE_M_2015_1000 NAC_ST_1_2_NC_2_2
DE M 2015 1000 NAC ST_1_2_NC_3 DE_M_2015_1000 NAC_ST_1_2_NC_3
DE M 2015 1000 NAC ST_1_2_NC_1_3 DE_M_2015_1000 NAC_ST_1_2_NC_1_3
DE M 2015 1000 NAC ST_1_2_NC_2_3 DE_M_2015_1000 NAC_ST_1_2_NC_2_3
DE M 2015 1000 NAC ST_1_2_NC_4 DE_M_2015_1000 NAC_ST_1_2_NC_4
DE M 2015 1000 NAC ST_1_2_NC_5 DE_M_2015_1000 NAC_ST_1_2_NC_5
DE M 2015 1000 NAC ST_5_C DE_M_2015_1000 NAC_ST_5_C
DE M 2015 1000 NAC ST_5_C_1 DE_M_2015_1000 NAC_ST_5_C_1
DE M 2015 1000 NAC ST_5_C_2 DE_M_2015_1000 NAC_ST_5_C_2
DE M 2015 1000 NAC ST_5_NC DE_M_2015_1000 NAC_ST_5_NC
DE M 2015 1000 NAC ST_5_NC_1 DE_M_2015_1000 NAC_ST_5_NC_1
DE M 2015 1000 NAC ST_5_NC_2 DE_M_2015_1000 NAC_ST_5_NC_2
DE M 2015 1000 NAC ST_5_NC_3 DE_M_2015_1000 NAC_ST_5_NC_3
DE M 2015 1000 NAC ST_5_NC_4 DE_M_2015_1000 NAC_ST_5_NC_4
DE M 2015 1000 NAC ST_5_NC_5 DE_M_2015_1000 NAC_ST_5_NC_5
DE M 2015 1000 NAC ST_5_NC_6 DE_M_2015_1000 NAC_ST_5_NC_6
DE M 2015 1000 NAC ST_5_NC_7 DE_M_2015_1000 NAC_ST_5_NC_7
DE X 2015 1000 m3 ST_1_2_C DE_X_2015_1000 m3_ST_1_2_C
DE X 2015 1000 m3 ST_1_2_C_1 DE_X_2015_1000 m3_ST_1_2_C_1
DE X 2015 1000 m3 ST_1_2_C_1_1 DE_X_2015_1000 m3_ST_1_2_C_1_1
DE X 2015 1000 m3 ST_1_2_C_2_1 DE_X_2015_1000 m3_ST_1_2_C_2_1
DE X 2015 1000 m3 ST_1_2_C_2 DE_X_2015_1000 m3_ST_1_2_C_2
DE X 2015 1000 m3 ST_1_2_C_1_2 DE_X_2015_1000 m3_ST_1_2_C_1_2
DE X 2015 1000 m3 ST_1_2_C_2_2 DE_X_2015_1000 m3_ST_1_2_C_2_2
DE X 2015 1000 m3 ST_1_2_C_3 DE_X_2015_1000 m3_ST_1_2_C_3
DE X 2015 1000 m3 ST_1_2_C_1_3 DE_X_2015_1000 m3_ST_1_2_C_1_3
DE X 2015 1000 m3 ST_1_2_C_2_3 DE_X_2015_1000 m3_ST_1_2_C_2_3
DE X 2015 1000 m3 ST_1_2_NC DE_X_2015_1000 m3_ST_1_2_NC
DE X 2015 1000 m3 ST_1_2_NC_1 DE_X_2015_1000 m3_ST_1_2_NC_1
DE X 2015 1000 m3 ST_1_2_NC_1_1 DE_X_2015_1000 m3_ST_1_2_NC_1_1
DE X 2015 1000 m3 ST_1_2_NC_2_1 DE_X_2015_1000 m3_ST_1_2_NC_2_1
DE X 2015 1000 m3 ST_1_2_NC_2 DE_X_2015_1000 m3_ST_1_2_NC_2
DE X 2015 1000 m3 ST_1_2_NC_1_2 DE_X_2015_1000 m3_ST_1_2_NC_1_2
DE X 2015 1000 m3 ST_1_2_NC_2_2 DE_X_2015_1000 m3_ST_1_2_NC_2_2
DE X 2015 1000 m3 ST_1_2_NC_3 DE_X_2015_1000 m3_ST_1_2_NC_3
DE X 2015 1000 m3 ST_1_2_NC_1_3 DE_X_2015_1000 m3_ST_1_2_NC_1_3
DE X 2015 1000 m3 ST_1_2_NC_2_3 DE_X_2015_1000 m3_ST_1_2_NC_2_3
DE X 2015 1000 m3 ST_1_2_NC_4 DE_X_2015_1000 m3_ST_1_2_NC_4
DE X 2015 1000 m3 ST_1_2_NC_5 DE_X_2015_1000 m3_ST_1_2_NC_5
DE X 2015 1000 m3 ST_5_C DE_X_2015_1000 m3_ST_5_C
DE X 2015 1000 m3 ST_5_C_1 DE_X_2015_1000 m3_ST_5_C_1
DE X 2015 1000 m3 ST_5_C_2 DE_X_2015_1000 m3_ST_5_C_2
DE X 2015 1000 m3 ST_5_NC DE_X_2015_1000 m3_ST_5_NC
DE X 2015 1000 m3 ST_5_NC_1 DE_X_2015_1000 m3_ST_5_NC_1
DE X 2015 1000 m3 ST_5_NC_2 DE_X_2015_1000 m3_ST_5_NC_2
DE X 2015 1000 m3 ST_5_NC_3 DE_X_2015_1000 m3_ST_5_NC_3
DE X 2015 1000 m3 ST_5_NC_4 DE_X_2015_1000 m3_ST_5_NC_4
DE X 2015 1000 m3 ST_5_NC_5 DE_X_2015_1000 m3_ST_5_NC_5
DE X 2015 1000 m3 ST_5_NC_6 DE_X_2015_1000 m3_ST_5_NC_6
DE X 2015 1000 m3 ST_5_NC_7 DE_X_2015_1000 m3_ST_5_NC_7
DE X 2015 1000 NAC ST_1_2_C DE_X_2015_1000 NAC_ST_1_2_C
DE X 2015 1000 NAC ST_1_2_C_1 DE_X_2015_1000 NAC_ST_1_2_C_1
DE X 2015 1000 NAC ST_1_2_C_1_1 DE_X_2015_1000 NAC_ST_1_2_C_1_1
DE X 2015 1000 NAC ST_1_2_C_2_1 DE_X_2015_1000 NAC_ST_1_2_C_2_1
DE X 2015 1000 NAC ST_1_2_C_2 DE_X_2015_1000 NAC_ST_1_2_C_2
DE X 2015 1000 NAC ST_1_2_C_1_2 DE_X_2015_1000 NAC_ST_1_2_C_1_2
DE X 2015 1000 NAC ST_1_2_C_2_2 DE_X_2015_1000 NAC_ST_1_2_C_2_2
DE X 2015 1000 NAC ST_1_2_C_3 DE_X_2015_1000 NAC_ST_1_2_C_3
DE X 2015 1000 NAC ST_1_2_C_1_3 DE_X_2015_1000 NAC_ST_1_2_C_1_3
DE X 2015 1000 NAC ST_1_2_C_2_3 DE_X_2015_1000 NAC_ST_1_2_C_2_3
DE X 2015 1000 NAC ST_1_2_NC DE_X_2015_1000 NAC_ST_1_2_NC
DE X 2015 1000 NAC ST_1_2_NC_1 DE_X_2015_1000 NAC_ST_1_2_NC_1
DE X 2015 1000 NAC ST_1_2_NC_1_1 DE_X_2015_1000 NAC_ST_1_2_NC_1_1
DE X 2015 1000 NAC ST_1_2_NC_2_1 DE_X_2015_1000 NAC_ST_1_2_NC_2_1
DE X 2015 1000 NAC ST_1_2_NC_2 DE_X_2015_1000 NAC_ST_1_2_NC_2
DE X 2015 1000 NAC ST_1_2_NC_1_2 DE_X_2015_1000 NAC_ST_1_2_NC_1_2
DE X 2015 1000 NAC ST_1_2_NC_2_2 DE_X_2015_1000 NAC_ST_1_2_NC_2_2
DE X 2015 1000 NAC ST_1_2_NC_3 DE_X_2015_1000 NAC_ST_1_2_NC_3
DE X 2015 1000 NAC ST_1_2_NC_1_3 DE_X_2015_1000 NAC_ST_1_2_NC_1_3
DE X 2015 1000 NAC ST_1_2_NC_2_3 DE_X_2015_1000 NAC_ST_1_2_NC_2_3
DE X 2015 1000 NAC ST_1_2_NC_4 DE_X_2015_1000 NAC_ST_1_2_NC_4
DE X 2015 1000 NAC ST_1_2_NC_5 DE_X_2015_1000 NAC_ST_1_2_NC_5
DE X 2015 1000 NAC ST_5_C DE_X_2015_1000 NAC_ST_5_C
DE X 2015 1000 NAC ST_5_C_1 DE_X_2015_1000 NAC_ST_5_C_1
DE X 2015 1000 NAC ST_5_C_2 DE_X_2015_1000 NAC_ST_5_C_2
DE X 2015 1000 NAC ST_5_NC DE_X_2015_1000 NAC_ST_5_NC
DE X 2015 1000 NAC ST_5_NC_1 DE_X_2015_1000 NAC_ST_5_NC_1
DE X 2015 1000 NAC ST_5_NC_2 DE_X_2015_1000 NAC_ST_5_NC_2
DE X 2015 1000 NAC ST_5_NC_3 DE_X_2015_1000 NAC_ST_5_NC_3
DE X 2015 1000 NAC ST_5_NC_4 DE_X_2015_1000 NAC_ST_5_NC_4
DE X 2015 1000 NAC ST_5_NC_5 DE_X_2015_1000 NAC_ST_5_NC_5
DE X 2015 1000 NAC ST_5_NC_6 DE_X_2015_1000 NAC_ST_5_NC_6
DE X 2015 1000 NAC ST_5_NC_7 DE_X_2015_1000 NAC_ST_5_NC_7
DE EX_M 2015 1000 m3 1 DE_EX_M_2015_1000 m3_1
DE EX_M 2015 1000 m3 1_1 DE_EX_M_2015_1000 m3_1_1
DE EX_M 2015 1000 m3 1_2 DE_EX_M_2015_1000 m3_1_2
DE EX_M 2015 1000 m3 1_2_C DE_EX_M_2015_1000 m3_1_2_C
DE EX_M 2015 1000 m3 1_2_NC DE_EX_M_2015_1000 m3_1_2_NC
DE EX_M 2015 1000 m3 1_2_NC_T DE_EX_M_2015_1000 m3_1_2_NC_T
DE EX_M 2015 1000 mt 2 DE_EX_M_2015_1000 mt_2
DE EX_M 2015 1000 m3 3 DE_EX_M_2015_1000 m3_3
DE EX_M 2015 1000 m3 3_1 DE_EX_M_2015_1000 m3_3_1
DE EX_M 2015 1000 m3 3_2 DE_EX_M_2015_1000 m3_3_2
DE EX_M 2015 1000 mt 4 DE_EX_M_2015_1000 mt_4
DE EX_M 2015 1000 mt 4_1 DE_EX_M_2015_1000 mt_4_1
DE EX_M 2015 1000 mt 4_2 DE_EX_M_2015_1000 mt_4_2
DE EX_M 2015 1000 m3 5 DE_EX_M_2015_1000 m3_5
DE EX_M 2015 1000 m3 5_C DE_EX_M_2015_1000 m3_5_C
DE EX_M 2015 1000 m3 5_NC DE_EX_M_2015_1000 m3_5_NC
DE EX_M 2015 1000 m3 5_NC_T DE_EX_M_2015_1000 m3_5_NC_T
DE EX_M 2015 1000 m3 6 DE_EX_M_2015_1000 m3_6
DE EX_M 2015 1000 m3 6_1 DE_EX_M_2015_1000 m3_6_1
DE EX_M 2015 1000 m3 6_1_C DE_EX_M_2015_1000 m3_6_1_C
DE EX_M 2015 1000 m3 6_1_NC DE_EX_M_2015_1000 m3_6_1_NC
DE EX_M 2015 1000 m3 6_1_NC_T DE_EX_M_2015_1000 m3_6_1_NC_T
DE EX_M 2015 1000 m3 6_2 DE_EX_M_2015_1000 m3_6_2
DE EX_M 2015 1000 m3 6_2_C DE_EX_M_2015_1000 m3_6_2_C
DE EX_M 2015 1000 m3 6_2_NC DE_EX_M_2015_1000 m3_6_2_NC
DE EX_M 2015 1000 m3 6_2_NC_T DE_EX_M_2015_1000 m3_6_2_NC_T
DE EX_M 2015 1000 m3 6_3 DE_EX_M_2015_1000 m3_6_3
DE EX_M 2015 1000 m3 6_3_1 DE_EX_M_2015_1000 m3_6_3_1
DE EX_M 2015 1000 m3 6_4 DE_EX_M_2015_1000 m3_6_4
DE EX_M 2015 1000 m3 6_4_1 DE_EX_M_2015_1000 m3_6_4_1
DE EX_M 2015 1000 m3 6_4_2 DE_EX_M_2015_1000 m3_6_4_2
DE EX_M 2015 1000 m3 6_4_3 DE_EX_M_2015_1000 m3_6_4_3
DE EX_M 2015 1000 mt 7 DE_EX_M_2015_1000 mt_7
DE EX_M 2015 1000 mt 7_1 DE_EX_M_2015_1000 mt_7_1
DE EX_M 2015 1000 mt 7_2 DE_EX_M_2015_1000 mt_7_2
DE EX_M 2015 1000 mt 7_3 DE_EX_M_2015_1000 mt_7_3
DE EX_M 2015 1000 mt 7_3_1 DE_EX_M_2015_1000 mt_7_3_1
DE EX_M 2015 1000 mt 7_3_2 DE_EX_M_2015_1000 mt_7_3_2
DE EX_M 2015 1000 mt 7_3_3 DE_EX_M_2015_1000 mt_7_3_3
DE EX_M 2015 1000 mt 7_3_4 DE_EX_M_2015_1000 mt_7_3_4
DE EX_M 2015 1000 mt 7_4 DE_EX_M_2015_1000 mt_7_4
DE EX_M 2015 1000 mt 8 DE_EX_M_2015_1000 mt_8
DE EX_M 2015 1000 mt 8_1 DE_EX_M_2015_1000 mt_8_1
DE EX_M 2015 1000 mt 8_2 DE_EX_M_2015_1000 mt_8_2
DE EX_M 2015 1000 mt 9 DE_EX_M_2015_1000 mt_9
DE EX_M 2015 1000 mt 10 DE_EX_M_2015_1000 mt_10
DE EX_M 2015 1000 mt 10_1 DE_EX_M_2015_1000 mt_10_1
DE EX_M 2015 1000 mt 10_1_1 DE_EX_M_2015_1000 mt_10_1_1
DE EX_M 2015 1000 mt 10_1_2 DE_EX_M_2015_1000 mt_10_1_2
DE EX_M 2015 1000 mt 10_1_3 DE_EX_M_2015_1000 mt_10_1_3
DE EX_M 2015 1000 mt 10_1_4 DE_EX_M_2015_1000 mt_10_1_4
DE EX_M 2015 1000 mt 10_2 DE_EX_M_2015_1000 mt_10_2
DE EX_M 2015 1000 mt 10_3 DE_EX_M_2015_1000 mt_10_3
DE EX_M 2015 1000 mt 10_3_1 DE_EX_M_2015_1000 mt_10_3_1
DE EX_M 2015 1000 mt 10_3_2 DE_EX_M_2015_1000 mt_10_3_2
DE EX_M 2015 1000 mt 10_3_3 DE_EX_M_2015_1000 mt_10_3_3
DE EX_M 2015 1000 mt 10_3_4 DE_EX_M_2015_1000 mt_10_3_4
DE EX_M 2015 1000 mt 10_4 DE_EX_M_2015_1000 mt_10_4
DE EX_M 2015 1000 NAC 1 DE_EX_M_2015_1000 NAC_1
DE EX_M 2015 1000 NAC 1_1 DE_EX_M_2015_1000 NAC_1_1
DE EX_M 2015 1000 NAC 1_2 DE_EX_M_2015_1000 NAC_1_2
DE EX_M 2015 1000 NAC 1_2_C DE_EX_M_2015_1000 NAC_1_2_C
DE EX_M 2015 1000 NAC 1_2_NC DE_EX_M_2015_1000 NAC_1_2_NC
DE EX_M 2015 1000 NAC 1_2_NC_T DE_EX_M_2015_1000 NAC_1_2_NC_T
DE EX_M 2015 1000 NAC 2 DE_EX_M_2015_1000 NAC_2
DE EX_M 2015 1000 NAC 3 DE_EX_M_2015_1000 NAC_3
DE EX_M 2015 1000 NAC 3_1 DE_EX_M_2015_1000 NAC_3_1
DE EX_M 2015 1000 NAC 3_2 DE_EX_M_2015_1000 NAC_3_2
DE EX_M 2015 1000 NAC 4 DE_EX_M_2015_1000 NAC_4
DE EX_M 2015 1000 NAC 4_1 DE_EX_M_2015_1000 NAC_4_1
DE EX_M 2015 1000 NAC 4_2 DE_EX_M_2015_1000 NAC_4_2
DE EX_M 2015 1000 NAC 5 DE_EX_M_2015_1000 NAC_5
DE EX_M 2015 1000 NAC 5_C DE_EX_M_2015_1000 NAC_5_C
DE EX_M 2015 1000 NAC 5_NC DE_EX_M_2015_1000 NAC_5_NC
DE EX_M 2015 1000 NAC 5_NC_T DE_EX_M_2015_1000 NAC_5_NC_T
DE EX_M 2015 1000 NAC 6 DE_EX_M_2015_1000 NAC_6
DE EX_M 2015 1000 NAC 6_1 DE_EX_M_2015_1000 NAC_6_1
DE EX_M 2015 1000 NAC 6_1_C DE_EX_M_2015_1000 NAC_6_1_C
DE EX_M 2015 1000 NAC 6_1_NC DE_EX_M_2015_1000 NAC_6_1_NC
DE EX_M 2015 1000 NAC 6_1_NC_T DE_EX_M_2015_1000 NAC_6_1_NC_T
DE EX_M 2015 1000 NAC 6_2 DE_EX_M_2015_1000 NAC_6_2
DE EX_M 2015 1000 NAC 6_2_C DE_EX_M_2015_1000 NAC_6_2_C
DE EX_M 2015 1000 NAC 6_2_NC DE_EX_M_2015_1000 NAC_6_2_NC
DE EX_M 2015 1000 NAC 6_2_NC_T DE_EX_M_2015_1000 NAC_6_2_NC_T
DE EX_M 2015 1000 NAC 6_3 DE_EX_M_2015_1000 NAC_6_3
DE EX_M 2015 1000 NAC 6_3_1 DE_EX_M_2015_1000 NAC_6_3_1
DE EX_M 2015 1000 NAC 6_4 DE_EX_M_2015_1000 NAC_6_4
DE EX_M 2015 1000 NAC 6_4_1 DE_EX_M_2015_1000 NAC_6_4_1
DE EX_M 2015 1000 NAC 6_4_2 DE_EX_M_2015_1000 NAC_6_4_2
DE EX_M 2015 1000 NAC 6_4_3 DE_EX_M_2015_1000 NAC_6_4_3
DE EX_M 2015 1000 NAC 7 DE_EX_M_2015_1000 NAC_7
DE EX_M 2015 1000 NAC 7_1 DE_EX_M_2015_1000 NAC_7_1
DE EX_M 2015 1000 NAC 7_2 DE_EX_M_2015_1000 NAC_7_2
DE EX_M 2015 1000 NAC 7_3 DE_EX_M_2015_1000 NAC_7_3
DE EX_M 2015 1000 NAC 7_3_1 DE_EX_M_2015_1000 NAC_7_3_1
DE EX_M 2015 1000 NAC 7_3_2 DE_EX_M_2015_1000 NAC_7_3_2
DE EX_M 2015 1000 NAC 7_3_3 DE_EX_M_2015_1000 NAC_7_3_3
DE EX_M 2015 1000 NAC 7_3_4 DE_EX_M_2015_1000 NAC_7_3_4
DE EX_M 2015 1000 NAC 7_4 DE_EX_M_2015_1000 NAC_7_4
DE EX_M 2015 1000 NAC 8 DE_EX_M_2015_1000 NAC_8
DE EX_M 2015 1000 NAC 8_1 DE_EX_M_2015_1000 NAC_8_1
DE EX_M 2015 1000 NAC 8_2 DE_EX_M_2015_1000 NAC_8_2
DE EX_M 2015 1000 NAC 9 DE_EX_M_2015_1000 NAC_9
DE EX_M 2015 1000 NAC 10 DE_EX_M_2015_1000 NAC_10
DE EX_M 2015 1000 NAC 10_1 DE_EX_M_2015_1000 NAC_10_1
DE EX_M 2015 1000 NAC 10_1_1 DE_EX_M_2015_1000 NAC_10_1_1
DE EX_M 2015 1000 NAC 10_1_2 DE_EX_M_2015_1000 NAC_10_1_2
DE EX_M 2015 1000 NAC 10_1_3 DE_EX_M_2015_1000 NAC_10_1_3
DE EX_M 2015 1000 NAC 10_1_4 DE_EX_M_2015_1000 NAC_10_1_4
DE EX_M 2015 1000 NAC 10_2 DE_EX_M_2015_1000 NAC_10_2
DE EX_M 2015 1000 NAC 10_3 DE_EX_M_2015_1000 NAC_10_3
DE EX_M 2015 1000 NAC 10_3_1 DE_EX_M_2015_1000 NAC_10_3_1
DE EX_M 2015 1000 NAC 10_3_2 DE_EX_M_2015_1000 NAC_10_3_2
DE EX_M 2015 1000 NAC 10_3_3 DE_EX_M_2015_1000 NAC_10_3_3
DE EX_M 2015 1000 NAC 10_3_4 DE_EX_M_2015_1000 NAC_10_3_4
DE EX_M 2015 1000 NAC 10_4 DE_EX_M_2015_1000 NAC_10_4
DE EX_X 2015 1000 m3 1 DE_EX_X_2015_1000 m3_1
DE EX_X 2015 1000 m3 1_1 DE_EX_X_2015_1000 m3_1_1
DE EX_X 2015 1000 m3 1_2 DE_EX_X_2015_1000 m3_1_2
DE EX_X 2015 1000 m3 1_2_C DE_EX_X_2015_1000 m3_1_2_C
DE EX_X 2015 1000 m3 1_2_NC DE_EX_X_2015_1000 m3_1_2_NC
DE EX_X 2015 1000 m3 1_2_NC_T DE_EX_X_2015_1000 m3_1_2_NC_T
DE EX_X 2015 1000 mt 2 DE_EX_X_2015_1000 mt_2
DE EX_X 2015 1000 m3 3 DE_EX_X_2015_1000 m3_3
DE EX_X 2015 1000 m3 3_1 DE_EX_X_2015_1000 m3_3_1
DE EX_X 2015 1000 m3 3_2 DE_EX_X_2015_1000 m3_3_2
DE EX_X 2015 1000 mt 4 DE_EX_X_2015_1000 mt_4
DE EX_X 2015 1000 mt 4_1 DE_EX_X_2015_1000 mt_4_1
DE EX_X 2015 1000 mt 4_2 DE_EX_X_2015_1000 mt_4_2
DE EX_X 2015 1000 m3 5 DE_EX_X_2015_1000 m3_5
DE EX_X 2015 1000 m3 5_C DE_EX_X_2015_1000 m3_5_C
DE EX_X 2015 1000 m3 5_NC DE_EX_X_2015_1000 m3_5_NC
DE EX_X 2015 1000 m3 5_NC_T DE_EX_X_2015_1000 m3_5_NC_T
DE EX_X 2015 1000 m3 6 DE_EX_X_2015_1000 m3_6
DE EX_X 2015 1000 m3 6_1 DE_EX_X_2015_1000 m3_6_1
DE EX_X 2015 1000 m3 6_1_C DE_EX_X_2015_1000 m3_6_1_C
DE EX_X 2015 1000 m3 6_1_NC DE_EX_X_2015_1000 m3_6_1_NC
DE EX_X 2015 1000 m3 6_1_NC_T DE_EX_X_2015_1000 m3_6_1_NC_T
DE EX_X 2015 1000 m3 6_2 DE_EX_X_2015_1000 m3_6_2
DE EX_X 2015 1000 m3 6_2_C DE_EX_X_2015_1000 m3_6_2_C
DE EX_X 2015 1000 m3 6_2_NC DE_EX_X_2015_1000 m3_6_2_NC
DE EX_X 2015 1000 m3 6_2_NC_T DE_EX_X_2015_1000 m3_6_2_NC_T
DE EX_X 2015 1000 m3 6_3 DE_EX_X_2015_1000 m3_6_3
DE EX_X 2015 1000 m3 6_3_1 DE_EX_X_2015_1000 m3_6_3_1
DE EX_X 2015 1000 m3 6_4 DE_EX_X_2015_1000 m3_6_4
DE EX_X 2015 1000 m3 6_4_1 DE_EX_X_2015_1000 m3_6_4_1
DE EX_X 2015 1000 m3 6_4_2 DE_EX_X_2015_1000 m3_6_4_2
DE EX_X 2015 1000 m3 6_4_3 DE_EX_X_2015_1000 m3_6_4_3
DE EX_X 2015 1000 mt 7 DE_EX_X_2015_1000 mt_7
DE EX_X 2015 1000 mt 7_1 DE_EX_X_2015_1000 mt_7_1
DE EX_X 2015 1000 mt 7_2 DE_EX_X_2015_1000 mt_7_2
DE EX_X 2015 1000 mt 7_3 DE_EX_X_2015_1000 mt_7_3
DE EX_X 2015 1000 mt 7_3_1 DE_EX_X_2015_1000 mt_7_3_1
DE EX_X 2015 1000 mt 7_3_2 DE_EX_X_2015_1000 mt_7_3_2
DE EX_X 2015 1000 mt 7_3_3 DE_EX_X_2015_1000 mt_7_3_3
DE EX_X 2015 1000 mt 7_3_4 DE_EX_X_2015_1000 mt_7_3_4
DE EX_X 2015 1000 mt 7_4 DE_EX_X_2015_1000 mt_7_4
DE EX_X 2015 1000 mt 8 DE_EX_X_2015_1000 mt_8
DE EX_X 2015 1000 mt 8_1 DE_EX_X_2015_1000 mt_8_1
DE EX_X 2015 1000 mt 8_2 DE_EX_X_2015_1000 mt_8_2
DE EX_X 2015 1000 mt 9 DE_EX_X_2015_1000 mt_9
DE EX_X 2015 1000 mt 10 DE_EX_X_2015_1000 mt_10
DE EX_X 2015 1000 mt 10_1 DE_EX_X_2015_1000 mt_10_1
DE EX_X 2015 1000 mt 10_1_1 DE_EX_X_2015_1000 mt_10_1_1
DE EX_X 2015 1000 mt 10_1_2 DE_EX_X_2015_1000 mt_10_1_2
DE EX_X 2015 1000 mt 10_1_3 DE_EX_X_2015_1000 mt_10_1_3
DE EX_X 2015 1000 mt 10_1_4 DE_EX_X_2015_1000 mt_10_1_4
DE EX_X 2015 1000 mt 10_2 DE_EX_X_2015_1000 mt_10_2
DE EX_X 2015 1000 mt 10_3 DE_EX_X_2015_1000 mt_10_3
DE EX_X 2015 1000 mt 10_3_1 DE_EX_X_2015_1000 mt_10_3_1
DE EX_X 2015 1000 mt 10_3_2 DE_EX_X_2015_1000 mt_10_3_2
DE EX_X 2015 1000 mt 10_3_3 DE_EX_X_2015_1000 mt_10_3_3
DE EX_X 2015 1000 mt 10_3_4 DE_EX_X_2015_1000 mt_10_3_4
DE EX_X 2015 1000 mt 10_4 DE_EX_X_2015_1000 mt_10_4
DE EX_X 2015 1000 NAC 1 DE_EX_X_2015_1000 NAC_1
DE EX_X 2015 1000 NAC 1_1 DE_EX_X_2015_1000 NAC_1_1
DE EX_X 2015 1000 NAC 1_2 DE_EX_X_2015_1000 NAC_1_2
DE EX_X 2015 1000 NAC 1_2_C DE_EX_X_2015_1000 NAC_1_2_C
DE EX_X 2015 1000 NAC 1_2_NC DE_EX_X_2015_1000 NAC_1_2_NC
DE EX_X 2015 1000 NAC 1_2_NC_T DE_EX_X_2015_1000 NAC_1_2_NC_T
DE EX_X 2015 1000 NAC 2 DE_EX_X_2015_1000 NAC_2
DE EX_X 2015 1000 NAC 3 DE_EX_X_2015_1000 NAC_3
DE EX_X 2015 1000 NAC 3_1 DE_EX_X_2015_1000 NAC_3_1
DE EX_X 2015 1000 NAC 3_2 DE_EX_X_2015_1000 NAC_3_2
DE EX_X 2015 1000 NAC 4 DE_EX_X_2015_1000 NAC_4
DE EX_X 2015 1000 NAC 4_1 DE_EX_X_2015_1000 NAC_4_1
DE EX_X 2015 1000 NAC 4_2 DE_EX_X_2015_1000 NAC_4_2
DE EX_X 2015 1000 NAC 5 DE_EX_X_2015_1000 NAC_5
DE EX_X 2015 1000 NAC 5_C DE_EX_X_2015_1000 NAC_5_C
DE EX_X 2015 1000 NAC 5_NC DE_EX_X_2015_1000 NAC_5_NC
DE EX_X 2015 1000 NAC 5_NC_T DE_EX_X_2015_1000 NAC_5_NC_T
DE EX_X 2015 1000 NAC 6 DE_EX_X_2015_1000 NAC_6
DE EX_X 2015 1000 NAC 6_1 DE_EX_X_2015_1000 NAC_6_1
DE EX_X 2015 1000 NAC 6_1_C DE_EX_X_2015_1000 NAC_6_1_C
DE EX_X 2015 1000 NAC 6_1_NC DE_EX_X_2015_1000 NAC_6_1_NC
DE EX_X 2015 1000 NAC 6_1_NC_T DE_EX_X_2015_1000 NAC_6_1_NC_T
DE EX_X 2015 1000 NAC 6_2 DE_EX_X_2015_1000 NAC_6_2
DE EX_X 2015 1000 NAC 6_2_C DE_EX_X_2015_1000 NAC_6_2_C
DE EX_X 2015 1000 NAC 6_2_NC DE_EX_X_2015_1000 NAC_6_2_NC
DE EX_X 2015 1000 NAC 6_2_NC_T DE_EX_X_2015_1000 NAC_6_2_NC_T
DE EX_X 2015 1000 NAC 6_3 DE_EX_X_2015_1000 NAC_6_3
DE EX_X 2015 1000 NAC 6_3_1 DE_EX_X_2015_1000 NAC_6_3_1
DE EX_X 2015 1000 NAC 6_4 DE_EX_X_2015_1000 NAC_6_4
DE EX_X 2015 1000 NAC 6_4_1 DE_EX_X_2015_1000 NAC_6_4_1
DE EX_X 2015 1000 NAC 6_4_2 DE_EX_X_2015_1000 NAC_6_4_2
DE EX_X 2015 1000 NAC 6_4_3 DE_EX_X_2015_1000 NAC_6_4_3
DE EX_X 2015 1000 NAC 7 DE_EX_X_2015_1000 NAC_7
DE EX_X 2015 1000 NAC 7_1 DE_EX_X_2015_1000 NAC_7_1
DE EX_X 2015 1000 NAC 7_2 DE_EX_X_2015_1000 NAC_7_2
DE EX_X 2015 1000 NAC 7_3 DE_EX_X_2015_1000 NAC_7_3
DE EX_X 2015 1000 NAC 7_3_1 DE_EX_X_2015_1000 NAC_7_3_1
DE EX_X 2015 1000 NAC 7_3_2 DE_EX_X_2015_1000 NAC_7_3_2
DE EX_X 2015 1000 NAC 7_3_3 DE_EX_X_2015_1000 NAC_7_3_3
DE EX_X 2015 1000 NAC 7_3_4 DE_EX_X_2015_1000 NAC_7_3_4
DE EX_X 2015 1000 NAC 7_4 DE_EX_X_2015_1000 NAC_7_4
DE EX_X 2015 1000 NAC 8 DE_EX_X_2015_1000 NAC_8
DE EX_X 2015 1000 NAC 8_1 DE_EX_X_2015_1000 NAC_8_1
DE EX_X 2015 1000 NAC 8_2 DE_EX_X_2015_1000 NAC_8_2
DE EX_X 2015 1000 NAC 9 DE_EX_X_2015_1000 NAC_9
DE EX_X 2015 1000 NAC 10 DE_EX_X_2015_1000 NAC_10
DE EX_X 2015 1000 NAC 10_1 DE_EX_X_2015_1000 NAC_10_1
DE EX_X 2015 1000 NAC 10_1_1 DE_EX_X_2015_1000 NAC_10_1_1
DE EX_X 2015 1000 NAC 10_1_2 DE_EX_X_2015_1000 NAC_10_1_2
DE EX_X 2015 1000 NAC 10_1_3 DE_EX_X_2015_1000 NAC_10_1_3
DE EX_X 2015 1000 NAC 10_1_4 DE_EX_X_2015_1000 NAC_10_1_4
DE EX_X 2015 1000 NAC 10_2 DE_EX_X_2015_1000 NAC_10_2
DE EX_X 2015 1000 NAC 10_3 DE_EX_X_2015_1000 NAC_10_3
DE EX_X 2015 1000 NAC 10_3_1 DE_EX_X_2015_1000 NAC_10_3_1
DE EX_X 2015 1000 NAC 10_3_2 DE_EX_X_2015_1000 NAC_10_3_2
DE EX_X 2015 1000 NAC 10_3_3 DE_EX_X_2015_1000 NAC_10_3_3
DE EX_X 2015 1000 NAC 10_3_4 DE_EX_X_2015_1000 NAC_10_3_4
DE EX_X 2015 1000 NAC 10_4 DE_EX_X_2015_1000 NAC_10_4
DE P 2015 1000 m3 EU2_1 DE_P_2015_1000 m3_EU2_1
DE P 2015 1000 m3 EU2_1_C DE_P_2015_1000 m3_EU2_1_C
DE P 2015 1000 m3 EU2_1_NC DE_P_2015_1000 m3_EU2_1_NC
DE P 2015 1000 m3 EU2_1_1 DE_P_2015_1000 m3_EU2_1_1
DE P 2015 1000 m3 EU2_1_1_C DE_P_2015_1000 m3_EU2_1_1_C
DE P 2015 1000 m3 EU2_1_1_NC DE_P_2015_1000 m3_EU2_1_1_NC
DE P 2015 1000 m3 EU2_1_2 DE_P_2015_1000 m3_EU2_1_2
DE P 2015 1000 m3 EU2_1_2_C DE_P_2015_1000 m3_EU2_1_2_C
DE P 2015 1000 m3 EU2_1_2_NC DE_P_2015_1000 m3_EU2_1_2_NC
DE P 2015 1000 m3 EU2_1_3 DE_P_2015_1000 m3_EU2_1_3
DE P 2015 1000 m3 EU2_1_3_C DE_P_2015_1000 m3_EU2_1_3_C
DE P 2015 1000 m3 EU2_1_3_NC DE_P_2015_1000 m3_EU2_1_3_NC
DE P.OB 2015 1000 m3 1 DE_P.OB_2015_1000 m3_1
DE P.OB 2015 1000 m3 1_C DE_P.OB_2015_1000 m3_1_C
DE P.OB 2015 1000 m3 1_NC DE_P.OB_2015_1000 m3_1_NC
DE P.OB 2015 1000 m3 1_1 DE_P.OB_2015_1000 m3_1_1
DE P.OB 2015 1000 m3 1_1_C DE_P.OB_2015_1000 m3_1_1_C
DE P.OB 2015 1000 m3 1_1_NC DE_P.OB_2015_1000 m3_1_1_NC
DE P.OB 2015 1000 m3 1_2 DE_P.OB_2015_1000 m3_1_2
DE P.OB 2015 1000 m3 1_2_C DE_P.OB_2015_1000 m3_1_2_C
DE P.OB 2015 1000 m3 1_2_NC DE_P.OB_2015_1000 m3_1_2_NC
DE P.OB 2015 1000 m3 1_2_1 DE_P.OB_2015_1000 m3_1_2_1
DE P.OB 2015 1000 m3 1_2_1_C DE_P.OB_2015_1000 m3_1_2_1_C
DE P.OB 2015 1000 m3 1_2_1_NC DE_P.OB_2015_1000 m3_1_2_1_NC
DE P.OB 2015 1000 m3 1_2_2 DE_P.OB_2015_1000 m3_1_2_2
DE P.OB 2015 1000 m3 1_2_2_C DE_P.OB_2015_1000 m3_1_2_2_C
DE P.OB 2015 1000 m3 1_2_2_NC DE_P.OB_2015_1000 m3_1_2_2_NC
DE P.OB 2015 1000 m3 1_2_3 DE_P.OB_2015_1000 m3_1_2_3
DE P.OB 2015 1000 m3 1_2_3_C DE_P.OB_2015_1000 m3_1_2_3_C
DE P.OB 2015 1000 m3 1_2_3_NC DE_P.OB_2015_1000 m3_1_2_3_NC
DE P 2014 1000 m3 1 DE_P_2014_1000 m3_1
DE P 2014 1000 m3 1_C DE_P_2014_1000 m3_1_C
DE P 2014 1000 m3 1_NC DE_P_2014_1000 m3_1_NC
DE P 2014 1000 m3 1_1 DE_P_2014_1000 m3_1_1
DE P 2014 1000 m3 1_1_C DE_P_2014_1000 m3_1_1_C
DE P 2014 1000 m3 1_1_NC DE_P_2014_1000 m3_1_1_NC
DE P 2014 1000 m3 1_2 DE_P_2014_1000 m3_1_2
DE P 2014 1000 m3 1_2_C DE_P_2014_1000 m3_1_2_C
DE P 2014 1000 m3 1_2_NC DE_P_2014_1000 m3_1_2_NC
DE P 2014 1000 m3 1_2_1 DE_P_2014_1000 m3_1_2_1
DE P 2014 1000 m3 1_2_1_C DE_P_2014_1000 m3_1_2_1_C
DE P 2014 1000 m3 1_2_1_NC DE_P_2014_1000 m3_1_2_1_NC
DE P 2014 1000 m3 1_2_2 DE_P_2014_1000 m3_1_2_2
DE P 2014 1000 m3 1_2_2_C DE_P_2014_1000 m3_1_2_2_C
DE P 2014 1000 m3 1_2_2_NC DE_P_2014_1000 m3_1_2_2_NC
DE P 2014 1000 m3 1_2_3 DE_P_2014_1000 m3_1_2_3
DE P 2014 1000 m3 1_2_3_C DE_P_2014_1000 m3_1_2_3_C
DE P 2014 1000 m3 1_2_3_NC DE_P_2014_1000 m3_1_2_3_NC
DE P 2014 1000 mt 2 DE_P_2014_1000 mt_2
DE P 2014 1000 m3 3 DE_P_2014_1000 m3_3
DE P 2014 1000 m3 3_1 DE_P_2014_1000 m3_3_1
DE P 2014 1000 m3 3_2 DE_P_2014_1000 m3_3_2
DE P 2014 1000 mt 4 DE_P_2014_1000 mt_4
DE P 2014 1000 mt 4_1 DE_P_2014_1000 mt_4_1
DE P 2014 1000 mt 4_2 DE_P_2014_1000 mt_4_2
DE P 2014 1000 m3 5 DE_P_2014_1000 m3_5
DE P 2014 1000 m3 5_C DE_P_2014_1000 m3_5_C
DE P 2014 1000 m3 5_NC DE_P_2014_1000 m3_5_NC
DE P 2014 1000 m3 5_NC_T DE_P_2014_1000 m3_5_NC_T
DE P 2014 1000 m3 6 DE_P_2014_1000 m3_6
DE P 2014 1000 m3 6_1 DE_P_2014_1000 m3_6_1
DE P 2014 1000 m3 6_1_C DE_P_2014_1000 m3_6_1_C
DE P 2014 1000 m3 6_1_NC DE_P_2014_1000 m3_6_1_NC
DE P 2014 1000 m3 6_1_NC_T DE_P_2014_1000 m3_6_1_NC_T
DE P 2014 1000 m3 6_2 DE_P_2014_1000 m3_6_2
DE P 2014 1000 m3 6_2_C DE_P_2014_1000 m3_6_2_C
DE P 2014 1000 m3 6_2_NC DE_P_2014_1000 m3_6_2_NC
DE P 2014 1000 m3 6_2_NC_T DE_P_2014_1000 m3_6_2_NC_T
DE P 2014 1000 m3 6_3 DE_P_2014_1000 m3_6_3
DE P 2014 1000 m3 6_3_1 DE_P_2014_1000 m3_6_3_1
DE P 2014 1000 m3 6_4 DE_P_2014_1000 m3_6_4
DE P 2014 1000 m3 6_4_1 DE_P_2014_1000 m3_6_4_1
DE P 2014 1000 m3 6_4_2 DE_P_2014_1000 m3_6_4_2
DE P 2014 1000 m3 6_4_3 DE_P_2014_1000 m3_6_4_3
DE P 2014 1000 mt 7 DE_P_2014_1000 mt_7
DE P 2014 1000 mt 7_1 DE_P_2014_1000 mt_7_1
DE P 2014 1000 mt 7_2 DE_P_2014_1000 mt_7_2
DE P 2014 1000 mt 7_3 DE_P_2014_1000 mt_7_3
DE P 2014 1000 mt 7_3_1 DE_P_2014_1000 mt_7_3_1
DE P 2014 1000 mt 7_3_2 DE_P_2014_1000 mt_7_3_2
DE P 2014 1000 mt 7_3_3 DE_P_2014_1000 mt_7_3_3
DE P 2014 1000 mt 7_3_4 DE_P_2014_1000 mt_7_3_4
DE P 2014 1000 mt 7_4 DE_P_2014_1000 mt_7_4
DE P 2014 1000 mt 8 DE_P_2014_1000 mt_8
DE P 2014 1000 mt 8_1 DE_P_2014_1000 mt_8_1
DE P 2014 1000 mt 8_2 DE_P_2014_1000 mt_8_2
DE P 2014 1000 mt 9 DE_P_2014_1000 mt_9
DE P 2014 1000 mt 10 DE_P_2014_1000 mt_10
DE P 2014 1000 mt 10_1 DE_P_2014_1000 mt_10_1
DE P 2014 1000 mt 10_1_1 DE_P_2014_1000 mt_10_1_1
DE P 2014 1000 mt 10_1_2 DE_P_2014_1000 mt_10_1_2
DE P 2014 1000 mt 10_1_3 DE_P_2014_1000 mt_10_1_3
DE P 2014 1000 mt 10_1_4 DE_P_2014_1000 mt_10_1_4
DE P 2014 1000 mt 10_2 DE_P_2014_1000 mt_10_2
DE P 2014 1000 mt 10_3 DE_P_2014_1000 mt_10_3
DE P 2014 1000 mt 10_3_1 DE_P_2014_1000 mt_10_3_1
DE P 2014 1000 mt 10_3_2 DE_P_2014_1000 mt_10_3_2
DE P 2014 1000 mt 10_3_3 DE_P_2014_1000 mt_10_3_3
DE P 2014 1000 mt 10_3_4 DE_P_2014_1000 mt_10_3_4
DE P 2014 1000 mt 10_4 DE_P_2014_1000 mt_10_4
DE M 2014 1000 m3 1 DE_M_2014_1000 m3_1
DE M 2014 1000 m3 1_1 DE_M_2014_1000 m3_1_1
DE M 2014 1000 m3 1_2 DE_M_2014_1000 m3_1_2
DE M 2014 1000 m3 1_2_C DE_M_2014_1000 m3_1_2_C
DE M 2014 1000 m3 1_2_NC DE_M_2014_1000 m3_1_2_NC
DE M 2014 1000 m3 1_2_NC_T DE_M_2014_1000 m3_1_2_NC_T
DE M 2014 1000 mt 2 DE_M_2014_1000 mt_2
DE M 2014 1000 m3 3 DE_M_2014_1000 m3_3
DE M 2014 1000 m3 3_1 DE_M_2014_1000 m3_3_1
DE M 2014 1000 m3 3_2 DE_M_2014_1000 m3_3_2
DE M 2014 1000 mt 4 DE_M_2014_1000 mt_4
DE M 2014 1000 mt 4_1 DE_M_2014_1000 mt_4_1
DE M 2014 1000 mt 4_2 DE_M_2014_1000 mt_4_2
DE M 2014 1000 m3 5 DE_M_2014_1000 m3_5
DE M 2014 1000 m3 5_C DE_M_2014_1000 m3_5_C
DE M 2014 1000 m3 5_NC DE_M_2014_1000 m3_5_NC
DE M 2014 1000 m3 5_NC_T DE_M_2014_1000 m3_5_NC_T
DE M 2014 1000 m3 6 DE_M_2014_1000 m3_6
DE M 2014 1000 m3 6_1 DE_M_2014_1000 m3_6_1
DE M 2014 1000 m3 6_1_C DE_M_2014_1000 m3_6_1_C
DE M 2014 1000 m3 6_1_NC DE_M_2014_1000 m3_6_1_NC
DE M 2014 1000 m3 6_1_NC_T DE_M_2014_1000 m3_6_1_NC_T
DE M 2014 1000 m3 6_2 DE_M_2014_1000 m3_6_2
DE M 2014 1000 m3 6_2_C DE_M_2014_1000 m3_6_2_C
DE M 2014 1000 m3 6_2_NC DE_M_2014_1000 m3_6_2_NC
DE M 2014 1000 m3 6_2_NC_T DE_M_2014_1000 m3_6_2_NC_T
DE M 2014 1000 m3 6_3 DE_M_2014_1000 m3_6_3
DE M 2014 1000 m3 6_3_1 DE_M_2014_1000 m3_6_3_1
DE M 2014 1000 m3 6_4 DE_M_2014_1000 m3_6_4
DE M 2014 1000 m3 6_4_1 DE_M_2014_1000 m3_6_4_1
DE M 2014 1000 m3 6_4_2 DE_M_2014_1000 m3_6_4_2
DE M 2014 1000 m3 6_4_3 DE_M_2014_1000 m3_6_4_3
DE M 2014 1000 mt 7 DE_M_2014_1000 mt_7
DE M 2014 1000 mt 7_1 DE_M_2014_1000 mt_7_1
DE M 2014 1000 mt 7_2 DE_M_2014_1000 mt_7_2
DE M 2014 1000 mt 7_3 DE_M_2014_1000 mt_7_3
DE M 2014 1000 mt 7_3_1 DE_M_2014_1000 mt_7_3_1
DE M 2014 1000 mt 7_3_2 DE_M_2014_1000 mt_7_3_2
DE M 2014 1000 mt 7_3_3 DE_M_2014_1000 mt_7_3_3
DE M 2014 1000 mt 7_3_4 DE_M_2014_1000 mt_7_3_4
DE M 2014 1000 mt 7_4 DE_M_2014_1000 mt_7_4
DE M 2014 1000 mt 8 DE_M_2014_1000 mt_8
DE M 2014 1000 mt 8_1 DE_M_2014_1000 mt_8_1
DE M 2014 1000 mt 8_2 DE_M_2014_1000 mt_8_2
DE M 2014 1000 mt 9 DE_M_2014_1000 mt_9
DE M 2014 1000 mt 10 DE_M_2014_1000 mt_10
DE M 2014 1000 mt 10_1 DE_M_2014_1000 mt_10_1
DE M 2014 1000 mt 10_1_1 DE_M_2014_1000 mt_10_1_1
DE M 2014 1000 mt 10_1_2 DE_M_2014_1000 mt_10_1_2
DE M 2014 1000 mt 10_1_3 DE_M_2014_1000 mt_10_1_3
DE M 2014 1000 mt 10_1_4 DE_M_2014_1000 mt_10_1_4
DE M 2014 1000 mt 10_2 DE_M_2014_1000 mt_10_2
DE M 2014 1000 mt 10_3 DE_M_2014_1000 mt_10_3
DE M 2014 1000 mt 10_3_1 DE_M_2014_1000 mt_10_3_1
DE M 2014 1000 mt 10_3_2 DE_M_2014_1000 mt_10_3_2
DE M 2014 1000 mt 10_3_3 DE_M_2014_1000 mt_10_3_3
DE M 2014 1000 mt 10_3_4 DE_M_2014_1000 mt_10_3_4
DE M 2014 1000 mt 10_4 DE_M_2014_1000 mt_10_4
DE M 2014 1000 NAC 1 DE_M_2014_1000 NAC_1
DE M 2014 1000 NAC 1_1 DE_M_2014_1000 NAC_1_1
DE M 2014 1000 NAC 1_2 DE_M_2014_1000 NAC_1_2
DE M 2014 1000 NAC 1_2_C DE_M_2014_1000 NAC_1_2_C
DE M 2014 1000 NAC 1_2_NC DE_M_2014_1000 NAC_1_2_NC
DE M 2014 1000 NAC 1_2_NC_T DE_M_2014_1000 NAC_1_2_NC_T
DE M 2014 1000 NAC 2 DE_M_2014_1000 NAC_2
DE M 2014 1000 NAC 3 DE_M_2014_1000 NAC_3
DE M 2014 1000 NAC 3_1 DE_M_2014_1000 NAC_3_1
DE M 2014 1000 NAC 3_2 DE_M_2014_1000 NAC_3_2
DE M 2014 1000 NAC 4 DE_M_2014_1000 NAC_4
DE M 2014 1000 NAC 4_1 DE_M_2014_1000 NAC_4_1
DE M 2014 1000 NAC 4_2 DE_M_2014_1000 NAC_4_2
DE M 2014 1000 NAC 5 DE_M_2014_1000 NAC_5
DE M 2014 1000 NAC 5_C DE_M_2014_1000 NAC_5_C
DE M 2014 1000 NAC 5_NC DE_M_2014_1000 NAC_5_NC
DE M 2014 1000 NAC 5_NC_T DE_M_2014_1000 NAC_5_NC_T
DE M 2014 1000 NAC 6 DE_M_2014_1000 NAC_6
DE M 2014 1000 NAC 6_1 DE_M_2014_1000 NAC_6_1
DE M 2014 1000 NAC 6_1_C DE_M_2014_1000 NAC_6_1_C
DE M 2014 1000 NAC 6_1_NC DE_M_2014_1000 NAC_6_1_NC
DE M 2014 1000 NAC 6_1_NC_T DE_M_2014_1000 NAC_6_1_NC_T
DE M 2014 1000 NAC 6_2 DE_M_2014_1000 NAC_6_2
DE M 2014 1000 NAC 6_2_C DE_M_2014_1000 NAC_6_2_C
DE M 2014 1000 NAC 6_2_NC DE_M_2014_1000 NAC_6_2_NC
DE M 2014 1000 NAC 6_2_NC_T DE_M_2014_1000 NAC_6_2_NC_T
DE M 2014 1000 NAC 6_3 DE_M_2014_1000 NAC_6_3
DE M 2014 1000 NAC 6_3_1 DE_M_2014_1000 NAC_6_3_1
DE M 2014 1000 NAC 6_4 DE_M_2014_1000 NAC_6_4
DE M 2014 1000 NAC 6_4_1 DE_M_2014_1000 NAC_6_4_1
DE M 2014 1000 NAC 6_4_2 DE_M_2014_1000 NAC_6_4_2
DE M 2014 1000 NAC 6_4_3 DE_M_2014_1000 NAC_6_4_3
DE M 2014 1000 NAC 7 DE_M_2014_1000 NAC_7
DE M 2014 1000 NAC 7_1 DE_M_2014_1000 NAC_7_1
DE M 2014 1000 NAC 7_2 DE_M_2014_1000 NAC_7_2
DE M 2014 1000 NAC 7_3 DE_M_2014_1000 NAC_7_3
DE M 2014 1000 NAC 7_3_1 DE_M_2014_1000 NAC_7_3_1
DE M 2014 1000 NAC 7_3_2 DE_M_2014_1000 NAC_7_3_2
DE M 2014 1000 NAC 7_3_3 DE_M_2014_1000 NAC_7_3_3
DE M 2014 1000 NAC 7_3_4 DE_M_2014_1000 NAC_7_3_4
DE M 2014 1000 NAC 7_4 DE_M_2014_1000 NAC_7_4
DE M 2014 1000 NAC 8 DE_M_2014_1000 NAC_8
DE M 2014 1000 NAC 8_1 DE_M_2014_1000 NAC_8_1
DE M 2014 1000 NAC 8_2 DE_M_2014_1000 NAC_8_2
DE M 2014 1000 NAC 9 DE_M_2014_1000 NAC_9
DE M 2014 1000 NAC 10 DE_M_2014_1000 NAC_10
DE M 2014 1000 NAC 10_1 DE_M_2014_1000 NAC_10_1
DE M 2014 1000 NAC 10_1_1 DE_M_2014_1000 NAC_10_1_1
DE M 2014 1000 NAC 10_1_2 DE_M_2014_1000 NAC_10_1_2
DE M 2014 1000 NAC 10_1_3 DE_M_2014_1000 NAC_10_1_3
DE M 2014 1000 NAC 10_1_4 DE_M_2014_1000 NAC_10_1_4
DE M 2014 1000 NAC 10_2 DE_M_2014_1000 NAC_10_2
DE M 2014 1000 NAC 10_3 DE_M_2014_1000 NAC_10_3
DE M 2014 1000 NAC 10_3_1 DE_M_2014_1000 NAC_10_3_1
DE M 2014 1000 NAC 10_3_2 DE_M_2014_1000 NAC_10_3_2
DE M 2014 1000 NAC 10_3_3 DE_M_2014_1000 NAC_10_3_3
DE M 2014 1000 NAC 10_3_4 DE_M_2014_1000 NAC_10_3_4
DE M 2014 1000 NAC 10_4 DE_M_2014_1000 NAC_10_4
DE X 2014 1000 m3 1 DE_X_2014_1000 m3_1
DE X 2014 1000 m3 1_1 DE_X_2014_1000 m3_1_1
DE X 2014 1000 m3 1_2 DE_X_2014_1000 m3_1_2
DE X 2014 1000 m3 1_2_C DE_X_2014_1000 m3_1_2_C
DE X 2014 1000 m3 1_2_NC DE_X_2014_1000 m3_1_2_NC
DE X 2014 1000 m3 1_2_NC_T DE_X_2014_1000 m3_1_2_NC_T
DE X 2014 1000 mt 2 DE_X_2014_1000 mt_2
DE X 2014 1000 m3 3 DE_X_2014_1000 m3_3
DE X 2014 1000 m3 3_1 DE_X_2014_1000 m3_3_1
DE X 2014 1000 m3 3_2 DE_X_2014_1000 m3_3_2
DE X 2014 1000 mt 4 DE_X_2014_1000 mt_4
DE X 2014 1000 mt 4_1 DE_X_2014_1000 mt_4_1
DE X 2014 1000 mt 4_2 DE_X_2014_1000 mt_4_2
DE X 2014 1000 m3 5 DE_X_2014_1000 m3_5
DE X 2014 1000 m3 5_C DE_X_2014_1000 m3_5_C
DE X 2014 1000 m3 5_NC DE_X_2014_1000 m3_5_NC
DE X 2014 1000 m3 5_NC_T DE_X_2014_1000 m3_5_NC_T
DE X 2014 1000 m3 6 DE_X_2014_1000 m3_6
DE X 2014 1000 m3 6_1 DE_X_2014_1000 m3_6_1
DE X 2014 1000 m3 6_1_C DE_X_2014_1000 m3_6_1_C
DE X 2014 1000 m3 6_1_NC DE_X_2014_1000 m3_6_1_NC
DE X 2014 1000 m3 6_1_NC_T DE_X_2014_1000 m3_6_1_NC_T
DE X 2014 1000 m3 6_2 DE_X_2014_1000 m3_6_2
DE X 2014 1000 m3 6_2_C DE_X_2014_1000 m3_6_2_C
DE X 2014 1000 m3 6_2_NC DE_X_2014_1000 m3_6_2_NC
DE X 2014 1000 m3 6_2_NC_T DE_X_2014_1000 m3_6_2_NC_T
DE X 2014 1000 m3 6_3 DE_X_2014_1000 m3_6_3
DE X 2014 1000 m3 6_3_1 DE_X_2014_1000 m3_6_3_1
DE X 2014 1000 m3 6_4 DE_X_2014_1000 m3_6_4
DE X 2014 1000 m3 6_4_1 DE_X_2014_1000 m3_6_4_1
DE X 2014 1000 m3 6_4_2 DE_X_2014_1000 m3_6_4_2
DE X 2014 1000 m3 6_4_3 DE_X_2014_1000 m3_6_4_3
DE X 2014 1000 mt 7 DE_X_2014_1000 mt_7
DE X 2014 1000 mt 7_1 DE_X_2014_1000 mt_7_1
DE X 2014 1000 mt 7_2 DE_X_2014_1000 mt_7_2
DE X 2014 1000 mt 7_3 DE_X_2014_1000 mt_7_3
DE X 2014 1000 mt 7_3_1 DE_X_2014_1000 mt_7_3_1
DE X 2014 1000 mt 7_3_2 DE_X_2014_1000 mt_7_3_2
DE X 2014 1000 mt 7_3_3 DE_X_2014_1000 mt_7_3_3
DE X 2014 1000 mt 7_3_4 DE_X_2014_1000 mt_7_3_4
DE X 2014 1000 mt 7_4 DE_X_2014_1000 mt_7_4
DE X 2014 1000 mt 8 DE_X_2014_1000 mt_8
DE X 2014 1000 mt 8_1 DE_X_2014_1000 mt_8_1
DE X 2014 1000 mt 8_2 DE_X_2014_1000 mt_8_2
DE X 2014 1000 mt 9 DE_X_2014_1000 mt_9
DE X 2014 1000 mt 10 DE_X_2014_1000 mt_10
DE X 2014 1000 mt 10_1 DE_X_2014_1000 mt_10_1
DE X 2014 1000 mt 10_1_1 DE_X_2014_1000 mt_10_1_1
DE X 2014 1000 mt 10_1_2 DE_X_2014_1000 mt_10_1_2
DE X 2014 1000 mt 10_1_3 DE_X_2014_1000 mt_10_1_3
DE X 2014 1000 mt 10_1_4 DE_X_2014_1000 mt_10_1_4
DE X 2014 1000 mt 10_2 DE_X_2014_1000 mt_10_2
DE X 2014 1000 mt 10_3 DE_X_2014_1000 mt_10_3
DE X 2014 1000 mt 10_3_1 DE_X_2014_1000 mt_10_3_1
DE X 2014 1000 mt 10_3_2 DE_X_2014_1000 mt_10_3_2
DE X 2014 1000 mt 10_3_3 DE_X_2014_1000 mt_10_3_3
DE X 2014 1000 mt 10_3_4 DE_X_2014_1000 mt_10_3_4
DE X 2014 1000 mt 10_4 DE_X_2014_1000 mt_10_4
DE X 2014 1000 NAC 1 DE_X_2014_1000 NAC_1
DE X 2014 1000 NAC 1_1 DE_X_2014_1000 NAC_1_1
DE X 2014 1000 NAC 1_2 DE_X_2014_1000 NAC_1_2
DE X 2014 1000 NAC 1_2_C DE_X_2014_1000 NAC_1_2_C
DE X 2014 1000 NAC 1_2_NC DE_X_2014_1000 NAC_1_2_NC
DE X 2014 1000 NAC 1_2_NC_T DE_X_2014_1000 NAC_1_2_NC_T
DE X 2014 1000 NAC 2 DE_X_2014_1000 NAC_2
DE X 2014 1000 NAC 3 DE_X_2014_1000 NAC_3
DE X 2014 1000 NAC 3_1 DE_X_2014_1000 NAC_3_1
DE X 2014 1000 NAC 3_2 DE_X_2014_1000 NAC_3_2
DE X 2014 1000 NAC 4 DE_X_2014_1000 NAC_4
DE X 2014 1000 NAC 4_1 DE_X_2014_1000 NAC_4_1
DE X 2014 1000 NAC 4_2 DE_X_2014_1000 NAC_4_2
DE X 2014 1000 NAC 5 DE_X_2014_1000 NAC_5
DE X 2014 1000 NAC 5_C DE_X_2014_1000 NAC_5_C
DE X 2014 1000 NAC 5_NC DE_X_2014_1000 NAC_5_NC
DE X 2014 1000 NAC 5_NC_T DE_X_2014_1000 NAC_5_NC_T
DE X 2014 1000 NAC 6 DE_X_2014_1000 NAC_6
DE X 2014 1000 NAC 6_1 DE_X_2014_1000 NAC_6_1
DE X 2014 1000 NAC 6_1_C DE_X_2014_1000 NAC_6_1_C
DE X 2014 1000 NAC 6_1_NC DE_X_2014_1000 NAC_6_1_NC
DE X 2014 1000 NAC 6_1_NC_T DE_X_2014_1000 NAC_6_1_NC_T
DE X 2014 1000 NAC 6_2 DE_X_2014_1000 NAC_6_2
DE X 2014 1000 NAC 6_2_C DE_X_2014_1000 NAC_6_2_C
DE X 2014 1000 NAC 6_2_NC DE_X_2014_1000 NAC_6_2_NC
DE X 2014 1000 NAC 6_2_NC_T DE_X_2014_1000 NAC_6_2_NC_T
DE X 2014 1000 NAC 6_3 DE_X_2014_1000 NAC_6_3
DE X 2014 1000 NAC 6_3_1 DE_X_2014_1000 NAC_6_3_1
DE X 2014 1000 NAC 6_4 DE_X_2014_1000 NAC_6_4
DE X 2014 1000 NAC 6_4_1 DE_X_2014_1000 NAC_6_4_1
DE X 2014 1000 NAC 6_4_2 DE_X_2014_1000 NAC_6_4_2
DE X 2014 1000 NAC 6_4_3 DE_X_2014_1000 NAC_6_4_3
DE X 2014 1000 NAC 7 DE_X_2014_1000 NAC_7
DE X 2014 1000 NAC 7_1 DE_X_2014_1000 NAC_7_1
DE X 2014 1000 NAC 7_2 DE_X_2014_1000 NAC_7_2
DE X 2014 1000 NAC 7_3 DE_X_2014_1000 NAC_7_3
DE X 2014 1000 NAC 7_3_1 DE_X_2014_1000 NAC_7_3_1
DE X 2014 1000 NAC 7_3_2 DE_X_2014_1000 NAC_7_3_2
DE X 2014 1000 NAC 7_3_3 DE_X_2014_1000 NAC_7_3_3
DE X 2014 1000 NAC 7_3_4 DE_X_2014_1000 NAC_7_3_4
DE X 2014 1000 NAC 7_4 DE_X_2014_1000 NAC_7_4
DE X 2014 1000 NAC 8 DE_X_2014_1000 NAC_8
DE X 2014 1000 NAC 8_1 DE_X_2014_1000 NAC_8_1
DE X 2014 1000 NAC 8_2 DE_X_2014_1000 NAC_8_2
DE X 2014 1000 NAC 9 DE_X_2014_1000 NAC_9
DE X 2014 1000 NAC 10 DE_X_2014_1000 NAC_10
DE X 2014 1000 NAC 10_1 DE_X_2014_1000 NAC_10_1
DE X 2014 1000 NAC 10_1_1 DE_X_2014_1000 NAC_10_1_1
DE X 2014 1000 NAC 10_1_2 DE_X_2014_1000 NAC_10_1_2
DE X 2014 1000 NAC 10_1_3 DE_X_2014_1000 NAC_10_1_3
DE X 2014 1000 NAC 10_1_4 DE_X_2014_1000 NAC_10_1_4
DE X 2014 1000 NAC 10_2 DE_X_2014_1000 NAC_10_2
DE X 2014 1000 NAC 10_3 DE_X_2014_1000 NAC_10_3
DE X 2014 1000 NAC 10_3_1 DE_X_2014_1000 NAC_10_3_1
DE X 2014 1000 NAC 10_3_2 DE_X_2014_1000 NAC_10_3_2
DE X 2014 1000 NAC 10_3_3 DE_X_2014_1000 NAC_10_3_3
DE X 2014 1000 NAC 10_3_4 DE_X_2014_1000 NAC_10_3_4
DE X 2014 1000 NAC 10_4 DE_X_2014_1000 NAC_10_4
DE M 2014 1000 NAC 11_1 DE_M_2014_1000 NAC_11_1
DE M 2014 1000 NAC 11_1_C DE_M_2014_1000 NAC_11_1_C
DE M 2014 1000 NAC 11_1_NC DE_M_2014_1000 NAC_11_1_NC
DE M 2014 1000 NAC 11_1_NC_T DE_M_2014_1000 NAC_11_1_NC_T
DE M 2014 1000 NAC 11_2 DE_M_2014_1000 NAC_11_2
DE M 2014 1000 NAC 11_3 DE_M_2014_1000 NAC_11_3
DE M 2014 1000 NAC 11_4 DE_M_2014_1000 NAC_11_4
DE M 2014 1000 NAC 11_5 DE_M_2014_1000 NAC_11_5
DE M 2014 1000 NAC 11_6 DE_M_2014_1000 NAC_11_6
DE M 2014 1000 NAC 11_7 DE_M_2014_1000 NAC_11_7
DE M 2014 1000 NAC 11_7_1 DE_M_2014_1000 NAC_11_7_1
DE M 2014 1000 NAC 12_1 DE_M_2014_1000 NAC_12_1
DE M 2014 1000 NAC 12_2 DE_M_2014_1000 NAC_12_2
DE M 2014 1000 NAC 12_3 DE_M_2014_1000 NAC_12_3
DE M 2014 1000 NAC 12_4 DE_M_2014_1000 NAC_12_4
DE M 2014 1000 NAC 12_5 DE_M_2014_1000 NAC_12_5
DE M 2014 1000 NAC 12_6 DE_M_2014_1000 NAC_12_6
DE M 2014 1000 NAC 12_6_1 DE_M_2014_1000 NAC_12_6_1
DE M 2014 1000 NAC 12_6_2 DE_M_2014_1000 NAC_12_6_2
DE M 2014 1000 NAC 12_6_3 DE_M_2014_1000 NAC_12_6_3
DE M 2014 1000 NAC 12_7 DE_M_2014_1000 NAC_12_7
DE M 2014 1000 NAC 12_7_1 DE_M_2014_1000 NAC_12_7_1
DE M 2014 1000 NAC 12_7_2 DE_M_2014_1000 NAC_12_7_2
DE M 2014 1000 NAC 12_7_3 DE_M_2014_1000 NAC_12_7_3
DE X 2014 1000 NAC 11_1 DE_X_2014_1000 NAC_11_1
DE X 2014 1000 NAC 11_1_C DE_X_2014_1000 NAC_11_1_C
DE X 2014 1000 NAC 11_1_NC DE_X_2014_1000 NAC_11_1_NC
DE X 2014 1000 NAC 11_1_NC_T DE_X_2014_1000 NAC_11_1_NC_T
DE X 2014 1000 NAC 11_2 DE_X_2014_1000 NAC_11_2
DE X 2014 1000 NAC 11_3 DE_X_2014_1000 NAC_11_3
DE X 2014 1000 NAC 11_4 DE_X_2014_1000 NAC_11_4
DE X 2014 1000 NAC 11_5 DE_X_2014_1000 NAC_11_5
DE X 2014 1000 NAC 11_6 DE_X_2014_1000 NAC_11_6
DE X 2014 1000 NAC 11_7 DE_X_2014_1000 NAC_11_7
DE X 2014 1000 NAC 11_7_1 DE_X_2014_1000 NAC_11_7_1
DE X 2014 1000 NAC 12_1 DE_X_2014_1000 NAC_12_1
DE X 2014 1000 NAC 12_2 DE_X_2014_1000 NAC_12_2
DE X 2014 1000 NAC 12_3 DE_X_2014_1000 NAC_12_3
DE X 2014 1000 NAC 12_4 DE_X_2014_1000 NAC_12_4
DE X 2014 1000 NAC 12_5 DE_X_2014_1000 NAC_12_5
DE X 2014 1000 NAC 12_6 DE_X_2014_1000 NAC_12_6
DE X 2014 1000 NAC 12_6_1 DE_X_2014_1000 NAC_12_6_1
DE X 2014 1000 NAC 12_6_2 DE_X_2014_1000 NAC_12_6_2
DE X 2014 1000 NAC 12_6_3 DE_X_2014_1000 NAC_12_6_3
DE X 2014 1000 NAC 12_7 DE_X_2014_1000 NAC_12_7
DE X 2014 1000 NAC 12_7_1 DE_X_2014_1000 NAC_12_7_1
DE X 2014 1000 NAC 12_7_2 DE_X_2014_1000 NAC_12_7_2
DE X 2014 1000 NAC 12_7_3 DE_X_2014_1000 NAC_12_7_3
DE M 2014 1000 m3 ST_1_2_C DE_M_2014_1000 m3_ST_1_2_C
DE M 2014 1000 m3 ST_1_2_C_1 DE_M_2014_1000 m3_ST_1_2_C_1
DE M 2014 1000 m3 ST_1_2_C_1_1 DE_M_2014_1000 m3_ST_1_2_C_1_1
DE M 2014 1000 m3 ST_1_2_C_2_1 DE_M_2014_1000 m3_ST_1_2_C_2_1
DE M 2014 1000 m3 ST_1_2_C_2 DE_M_2014_1000 m3_ST_1_2_C_2
DE M 2014 1000 m3 ST_1_2_C_1_2 DE_M_2014_1000 m3_ST_1_2_C_1_2
DE M 2014 1000 m3 ST_1_2_C_2_2 DE_M_2014_1000 m3_ST_1_2_C_2_2
DE M 2014 1000 m3 ST_1_2_C_3 DE_M_2014_1000 m3_ST_1_2_C_3
DE M 2014 1000 m3 ST_1_2_C_1_3 DE_M_2014_1000 m3_ST_1_2_C_1_3
DE M 2014 1000 m3 ST_1_2_C_2_3 DE_M_2014_1000 m3_ST_1_2_C_2_3
DE M 2014 1000 m3 ST_1_2_NC DE_M_2014_1000 m3_ST_1_2_NC
DE M 2014 1000 m3 ST_1_2_NC_1 DE_M_2014_1000 m3_ST_1_2_NC_1
DE M 2014 1000 m3 ST_1_2_NC_1_1 DE_M_2014_1000 m3_ST_1_2_NC_1_1
DE M 2014 1000 m3 ST_1_2_NC_2_1 DE_M_2014_1000 m3_ST_1_2_NC_2_1
DE M 2014 1000 m3 ST_1_2_NC_2 DE_M_2014_1000 m3_ST_1_2_NC_2
DE M 2014 1000 m3 ST_1_2_NC_1_2 DE_M_2014_1000 m3_ST_1_2_NC_1_2
DE M 2014 1000 m3 ST_1_2_NC_2_2 DE_M_2014_1000 m3_ST_1_2_NC_2_2
DE M 2014 1000 m3 ST_1_2_NC_3 DE_M_2014_1000 m3_ST_1_2_NC_3
DE M 2014 1000 m3 ST_1_2_NC_1_3 DE_M_2014_1000 m3_ST_1_2_NC_1_3
DE M 2014 1000 m3 ST_1_2_NC_2_3 DE_M_2014_1000 m3_ST_1_2_NC_2_3
DE M 2014 1000 m3 ST_1_2_NC_4 DE_M_2014_1000 m3_ST_1_2_NC_4
DE M 2014 1000 m3 ST_1_2_NC_5 DE_M_2014_1000 m3_ST_1_2_NC_5
DE M 2014 1000 m3 ST_5_C DE_M_2014_1000 m3_ST_5_C
DE M 2014 1000 m3 ST_5_C_1 DE_M_2014_1000 m3_ST_5_C_1
DE M 2014 1000 m3 ST_5_C_2 DE_M_2014_1000 m3_ST_5_C_2
DE M 2014 1000 m3 ST_5_NC DE_M_2014_1000 m3_ST_5_NC
DE M 2014 1000 m3 ST_5_NC_1 DE_M_2014_1000 m3_ST_5_NC_1
DE M 2014 1000 m3 ST_5_NC_2 DE_M_2014_1000 m3_ST_5_NC_2
DE M 2014 1000 m3 ST_5_NC_3 DE_M_2014_1000 m3_ST_5_NC_3
DE M 2014 1000 m3 ST_5_NC_4 DE_M_2014_1000 m3_ST_5_NC_4
DE M 2014 1000 m3 ST_5_NC_5 DE_M_2014_1000 m3_ST_5_NC_5
DE M 2014 1000 m3 ST_5_NC_6 DE_M_2014_1000 m3_ST_5_NC_6
DE M 2014 1000 m3 ST_5_NC_7 DE_M_2014_1000 m3_ST_5_NC_7
DE M 2014 1000 NAC ST_1_2_C DE_M_2014_1000 NAC_ST_1_2_C
DE M 2014 1000 NAC ST_1_2_C_1 DE_M_2014_1000 NAC_ST_1_2_C_1
DE M 2014 1000 NAC ST_1_2_C_1_1 DE_M_2014_1000 NAC_ST_1_2_C_1_1
DE M 2014 1000 NAC ST_1_2_C_2_1 DE_M_2014_1000 NAC_ST_1_2_C_2_1
DE M 2014 1000 NAC ST_1_2_C_2 DE_M_2014_1000 NAC_ST_1_2_C_2
DE M 2014 1000 NAC ST_1_2_C_1_2 DE_M_2014_1000 NAC_ST_1_2_C_1_2
DE M 2014 1000 NAC ST_1_2_C_2_2 DE_M_2014_1000 NAC_ST_1_2_C_2_2
DE M 2014 1000 NAC ST_1_2_C_3 DE_M_2014_1000 NAC_ST_1_2_C_3
DE M 2014 1000 NAC ST_1_2_C_1_3 DE_M_2014_1000 NAC_ST_1_2_C_1_3
DE M 2014 1000 NAC ST_1_2_C_2_3 DE_M_2014_1000 NAC_ST_1_2_C_2_3
DE M 2014 1000 NAC ST_1_2_NC DE_M_2014_1000 NAC_ST_1_2_NC
DE M 2014 1000 NAC ST_1_2_NC_1 DE_M_2014_1000 NAC_ST_1_2_NC_1
DE M 2014 1000 NAC ST_1_2_NC_1_1 DE_M_2014_1000 NAC_ST_1_2_NC_1_1
DE M 2014 1000 NAC ST_1_2_NC_2_1 DE_M_2014_1000 NAC_ST_1_2_NC_2_1
DE M 2014 1000 NAC ST_1_2_NC_2 DE_M_2014_1000 NAC_ST_1_2_NC_2
DE M 2014 1000 NAC ST_1_2_NC_1_2 DE_M_2014_1000 NAC_ST_1_2_NC_1_2
DE M 2014 1000 NAC ST_1_2_NC_2_2 DE_M_2014_1000 NAC_ST_1_2_NC_2_2
DE M 2014 1000 NAC ST_1_2_NC_3 DE_M_2014_1000 NAC_ST_1_2_NC_3
DE M 2014 1000 NAC ST_1_2_NC_1_3 DE_M_2014_1000 NAC_ST_1_2_NC_1_3
DE M 2014 1000 NAC ST_1_2_NC_2_3 DE_M_2014_1000 NAC_ST_1_2_NC_2_3
DE M 2014 1000 NAC ST_1_2_NC_4 DE_M_2014_1000 NAC_ST_1_2_NC_4
DE M 2014 1000 NAC ST_1_2_NC_5 DE_M_2014_1000 NAC_ST_1_2_NC_5
DE M 2014 1000 NAC ST_5_C DE_M_2014_1000 NAC_ST_5_C
DE M 2014 1000 NAC ST_5_C_1 DE_M_2014_1000 NAC_ST_5_C_1
DE M 2014 1000 NAC ST_5_C_2 DE_M_2014_1000 NAC_ST_5_C_2
DE M 2014 1000 NAC ST_5_NC DE_M_2014_1000 NAC_ST_5_NC
DE M 2014 1000 NAC ST_5_NC_1 DE_M_2014_1000 NAC_ST_5_NC_1
DE M 2014 1000 NAC ST_5_NC_2 DE_M_2014_1000 NAC_ST_5_NC_2
DE M 2014 1000 NAC ST_5_NC_3 DE_M_2014_1000 NAC_ST_5_NC_3
DE M 2014 1000 NAC ST_5_NC_4 DE_M_2014_1000 NAC_ST_5_NC_4
DE M 2014 1000 NAC ST_5_NC_5 DE_M_2014_1000 NAC_ST_5_NC_5
DE M 2014 1000 NAC ST_5_NC_6 DE_M_2014_1000 NAC_ST_5_NC_6
DE M 2014 1000 NAC ST_5_NC_7 DE_M_2014_1000 NAC_ST_5_NC_7
DE X 2014 1000 m3 ST_1_2_C DE_X_2014_1000 m3_ST_1_2_C
DE X 2014 1000 m3 ST_1_2_C_1 DE_X_2014_1000 m3_ST_1_2_C_1
DE X 2014 1000 m3 ST_1_2_C_1_1 DE_X_2014_1000 m3_ST_1_2_C_1_1
DE X 2014 1000 m3 ST_1_2_C_2_1 DE_X_2014_1000 m3_ST_1_2_C_2_1
DE X 2014 1000 m3 ST_1_2_C_2 DE_X_2014_1000 m3_ST_1_2_C_2
DE X 2014 1000 m3 ST_1_2_C_1_2 DE_X_2014_1000 m3_ST_1_2_C_1_2
DE X 2014 1000 m3 ST_1_2_C_2_2 DE_X_2014_1000 m3_ST_1_2_C_2_2
DE X 2014 1000 m3 ST_1_2_C_3 DE_X_2014_1000 m3_ST_1_2_C_3
DE X 2014 1000 m3 ST_1_2_C_1_3 DE_X_2014_1000 m3_ST_1_2_C_1_3
DE X 2014 1000 m3 ST_1_2_C_2_3 DE_X_2014_1000 m3_ST_1_2_C_2_3
DE X 2014 1000 m3 ST_1_2_NC DE_X_2014_1000 m3_ST_1_2_NC
DE X 2014 1000 m3 ST_1_2_NC_1 DE_X_2014_1000 m3_ST_1_2_NC_1
DE X 2014 1000 m3 ST_1_2_NC_1_1 DE_X_2014_1000 m3_ST_1_2_NC_1_1
DE X 2014 1000 m3 ST_1_2_NC_2_1 DE_X_2014_1000 m3_ST_1_2_NC_2_1
DE X 2014 1000 m3 ST_1_2_NC_2 DE_X_2014_1000 m3_ST_1_2_NC_2
DE X 2014 1000 m3 ST_1_2_NC_1_2 DE_X_2014_1000 m3_ST_1_2_NC_1_2
DE X 2014 1000 m3 ST_1_2_NC_2_2 DE_X_2014_1000 m3_ST_1_2_NC_2_2
DE X 2014 1000 m3 ST_1_2_NC_3 DE_X_2014_1000 m3_ST_1_2_NC_3
DE X 2014 1000 m3 ST_1_2_NC_1_3 DE_X_2014_1000 m3_ST_1_2_NC_1_3
DE X 2014 1000 m3 ST_1_2_NC_2_3 DE_X_2014_1000 m3_ST_1_2_NC_2_3
DE X 2014 1000 m3 ST_1_2_NC_4 DE_X_2014_1000 m3_ST_1_2_NC_4
DE X 2014 1000 m3 ST_1_2_NC_5 DE_X_2014_1000 m3_ST_1_2_NC_5
DE X 2014 1000 m3 ST_5_C DE_X_2014_1000 m3_ST_5_C
DE X 2014 1000 m3 ST_5_C_1 DE_X_2014_1000 m3_ST_5_C_1
DE X 2014 1000 m3 ST_5_C_2 DE_X_2014_1000 m3_ST_5_C_2
DE X 2014 1000 m3 ST_5_NC DE_X_2014_1000 m3_ST_5_NC
DE X 2014 1000 m3 ST_5_NC_1 DE_X_2014_1000 m3_ST_5_NC_1
DE X 2014 1000 m3 ST_5_NC_2 DE_X_2014_1000 m3_ST_5_NC_2
DE X 2014 1000 m3 ST_5_NC_3 DE_X_2014_1000 m3_ST_5_NC_3
DE X 2014 1000 m3 ST_5_NC_4 DE_X_2014_1000 m3_ST_5_NC_4
DE X 2014 1000 m3 ST_5_NC_5 DE_X_2014_1000 m3_ST_5_NC_5
DE X 2014 1000 m3 ST_5_NC_6 DE_X_2014_1000 m3_ST_5_NC_6
DE X 2014 1000 m3 ST_5_NC_7 DE_X_2014_1000 m3_ST_5_NC_7
DE X 2014 1000 NAC ST_1_2_C DE_X_2014_1000 NAC_ST_1_2_C
DE X 2014 1000 NAC ST_1_2_C_1 DE_X_2014_1000 NAC_ST_1_2_C_1
DE X 2014 1000 NAC ST_1_2_C_1_1 DE_X_2014_1000 NAC_ST_1_2_C_1_1
DE X 2014 1000 NAC ST_1_2_C_2_1 DE_X_2014_1000 NAC_ST_1_2_C_2_1
DE X 2014 1000 NAC ST_1_2_C_2 DE_X_2014_1000 NAC_ST_1_2_C_2
DE X 2014 1000 NAC ST_1_2_C_1_2 DE_X_2014_1000 NAC_ST_1_2_C_1_2
DE X 2014 1000 NAC ST_1_2_C_2_2 DE_X_2014_1000 NAC_ST_1_2_C_2_2
DE X 2014 1000 NAC ST_1_2_C_3 DE_X_2014_1000 NAC_ST_1_2_C_3
DE X 2014 1000 NAC ST_1_2_C_1_3 DE_X_2014_1000 NAC_ST_1_2_C_1_3
DE X 2014 1000 NAC ST_1_2_C_2_3 DE_X_2014_1000 NAC_ST_1_2_C_2_3
DE X 2014 1000 NAC ST_1_2_NC DE_X_2014_1000 NAC_ST_1_2_NC
DE X 2014 1000 NAC ST_1_2_NC_1 DE_X_2014_1000 NAC_ST_1_2_NC_1
DE X 2014 1000 NAC ST_1_2_NC_1_1 DE_X_2014_1000 NAC_ST_1_2_NC_1_1
DE X 2014 1000 NAC ST_1_2_NC_2_1 DE_X_2014_1000 NAC_ST_1_2_NC_2_1
DE X 2014 1000 NAC ST_1_2_NC_2 DE_X_2014_1000 NAC_ST_1_2_NC_2
DE X 2014 1000 NAC ST_1_2_NC_1_2 DE_X_2014_1000 NAC_ST_1_2_NC_1_2
DE X 2014 1000 NAC ST_1_2_NC_2_2 DE_X_2014_1000 NAC_ST_1_2_NC_2_2
DE X 2014 1000 NAC ST_1_2_NC_3 DE_X_2014_1000 NAC_ST_1_2_NC_3
DE X 2014 1000 NAC ST_1_2_NC_1_3 DE_X_2014_1000 NAC_ST_1_2_NC_1_3
DE X 2014 1000 NAC ST_1_2_NC_2_3 DE_X_2014_1000 NAC_ST_1_2_NC_2_3
DE X 2014 1000 NAC ST_1_2_NC_4 DE_X_2014_1000 NAC_ST_1_2_NC_4
DE X 2014 1000 NAC ST_1_2_NC_5 DE_X_2014_1000 NAC_ST_1_2_NC_5
DE X 2014 1000 NAC ST_5_C DE_X_2014_1000 NAC_ST_5_C
DE X 2014 1000 NAC ST_5_C_1 DE_X_2014_1000 NAC_ST_5_C_1
DE X 2014 1000 NAC ST_5_C_2 DE_X_2014_1000 NAC_ST_5_C_2
DE X 2014 1000 NAC ST_5_NC DE_X_2014_1000 NAC_ST_5_NC
DE X 2014 1000 NAC ST_5_NC_1 DE_X_2014_1000 NAC_ST_5_NC_1
DE X 2014 1000 NAC ST_5_NC_2 DE_X_2014_1000 NAC_ST_5_NC_2
DE X 2014 1000 NAC ST_5_NC_3 DE_X_2014_1000 NAC_ST_5_NC_3
DE X 2014 1000 NAC ST_5_NC_4 DE_X_2014_1000 NAC_ST_5_NC_4
DE X 2014 1000 NAC ST_5_NC_5 DE_X_2014_1000 NAC_ST_5_NC_5
DE X 2014 1000 NAC ST_5_NC_6 DE_X_2014_1000 NAC_ST_5_NC_6
DE X 2014 1000 NAC ST_5_NC_7 DE_X_2014_1000 NAC_ST_5_NC_7
DE EX_M 2014 1000 m3 1 DE_EX_M_2014_1000 m3_1
DE EX_M 2014 1000 m3 1_1 DE_EX_M_2014_1000 m3_1_1
DE EX_M 2014 1000 m3 1_2 DE_EX_M_2014_1000 m3_1_2
DE EX_M 2014 1000 m3 1_2_C DE_EX_M_2014_1000 m3_1_2_C
DE EX_M 2014 1000 m3 1_2_NC DE_EX_M_2014_1000 m3_1_2_NC
DE EX_M 2014 1000 m3 1_2_NC_T DE_EX_M_2014_1000 m3_1_2_NC_T
DE EX_M 2014 1000 mt 2 DE_EX_M_2014_1000 mt_2
DE EX_M 2014 1000 m3 3 DE_EX_M_2014_1000 m3_3
DE EX_M 2014 1000 m3 3_1 DE_EX_M_2014_1000 m3_3_1
DE EX_M 2014 1000 m3 3_2 DE_EX_M_2014_1000 m3_3_2
DE EX_M 2014 1000 mt 4 DE_EX_M_2014_1000 mt_4
DE EX_M 2014 1000 mt 4_1 DE_EX_M_2014_1000 mt_4_1
DE EX_M 2014 1000 mt 4_2 DE_EX_M_2014_1000 mt_4_2
DE EX_M 2014 1000 m3 5 DE_EX_M_2014_1000 m3_5
DE EX_M 2014 1000 m3 5_C DE_EX_M_2014_1000 m3_5_C
DE EX_M 2014 1000 m3 5_NC DE_EX_M_2014_1000 m3_5_NC
DE EX_M 2014 1000 m3 5_NC_T DE_EX_M_2014_1000 m3_5_NC_T
DE EX_M 2014 1000 m3 6 DE_EX_M_2014_1000 m3_6
DE EX_M 2014 1000 m3 6_1 DE_EX_M_2014_1000 m3_6_1
DE EX_M 2014 1000 m3 6_1_C DE_EX_M_2014_1000 m3_6_1_C
DE EX_M 2014 1000 m3 6_1_NC DE_EX_M_2014_1000 m3_6_1_NC
DE EX_M 2014 1000 m3 6_1_NC_T DE_EX_M_2014_1000 m3_6_1_NC_T
DE EX_M 2014 1000 m3 6_2 DE_EX_M_2014_1000 m3_6_2
DE EX_M 2014 1000 m3 6_2_C DE_EX_M_2014_1000 m3_6_2_C
DE EX_M 2014 1000 m3 6_2_NC DE_EX_M_2014_1000 m3_6_2_NC
DE EX_M 2014 1000 m3 6_2_NC_T DE_EX_M_2014_1000 m3_6_2_NC_T
DE EX_M 2014 1000 m3 6_3 DE_EX_M_2014_1000 m3_6_3
DE EX_M 2014 1000 m3 6_3_1 DE_EX_M_2014_1000 m3_6_3_1
DE EX_M 2014 1000 m3 6_4 DE_EX_M_2014_1000 m3_6_4
DE EX_M 2014 1000 m3 6_4_1 DE_EX_M_2014_1000 m3_6_4_1
DE EX_M 2014 1000 m3 6_4_2 DE_EX_M_2014_1000 m3_6_4_2
DE EX_M 2014 1000 m3 6_4_3 DE_EX_M_2014_1000 m3_6_4_3
DE EX_M 2014 1000 mt 7 DE_EX_M_2014_1000 mt_7
DE EX_M 2014 1000 mt 7_1 DE_EX_M_2014_1000 mt_7_1
DE EX_M 2014 1000 mt 7_2 DE_EX_M_2014_1000 mt_7_2
DE EX_M 2014 1000 mt 7_3 DE_EX_M_2014_1000 mt_7_3
DE EX_M 2014 1000 mt 7_3_1 DE_EX_M_2014_1000 mt_7_3_1
DE EX_M 2014 1000 mt 7_3_2 DE_EX_M_2014_1000 mt_7_3_2
DE EX_M 2014 1000 mt 7_3_3 DE_EX_M_2014_1000 mt_7_3_3
DE EX_M 2014 1000 mt 7_3_4 DE_EX_M_2014_1000 mt_7_3_4
DE EX_M 2014 1000 mt 7_4 DE_EX_M_2014_1000 mt_7_4
DE EX_M 2014 1000 mt 8 DE_EX_M_2014_1000 mt_8
DE EX_M 2014 1000 mt 8_1 DE_EX_M_2014_1000 mt_8_1
DE EX_M 2014 1000 mt 8_2 DE_EX_M_2014_1000 mt_8_2
DE EX_M 2014 1000 mt 9 DE_EX_M_2014_1000 mt_9
DE EX_M 2014 1000 mt 10 DE_EX_M_2014_1000 mt_10
DE EX_M 2014 1000 mt 10_1 DE_EX_M_2014_1000 mt_10_1
DE EX_M 2014 1000 mt 10_1_1 DE_EX_M_2014_1000 mt_10_1_1
DE EX_M 2014 1000 mt 10_1_2 DE_EX_M_2014_1000 mt_10_1_2
DE EX_M 2014 1000 mt 10_1_3 DE_EX_M_2014_1000 mt_10_1_3
DE EX_M 2014 1000 mt 10_1_4 DE_EX_M_2014_1000 mt_10_1_4
DE EX_M 2014 1000 mt 10_2 DE_EX_M_2014_1000 mt_10_2
DE EX_M 2014 1000 mt 10_3 DE_EX_M_2014_1000 mt_10_3
DE EX_M 2014 1000 mt 10_3_1 DE_EX_M_2014_1000 mt_10_3_1
DE EX_M 2014 1000 mt 10_3_2 DE_EX_M_2014_1000 mt_10_3_2
DE EX_M 2014 1000 mt 10_3_3 DE_EX_M_2014_1000 mt_10_3_3
DE EX_M 2014 1000 mt 10_3_4 DE_EX_M_2014_1000 mt_10_3_4
DE EX_M 2014 1000 mt 10_4 DE_EX_M_2014_1000 mt_10_4
DE EX_M 2014 1000 NAC 1 DE_EX_M_2014_1000 NAC_1
DE EX_M 2014 1000 NAC 1_1 DE_EX_M_2014_1000 NAC_1_1
DE EX_M 2014 1000 NAC 1_2 DE_EX_M_2014_1000 NAC_1_2
DE EX_M 2014 1000 NAC 1_2_C DE_EX_M_2014_1000 NAC_1_2_C
DE EX_M 2014 1000 NAC 1_2_NC DE_EX_M_2014_1000 NAC_1_2_NC
DE EX_M 2014 1000 NAC 1_2_NC_T DE_EX_M_2014_1000 NAC_1_2_NC_T
DE EX_M 2014 1000 NAC 2 DE_EX_M_2014_1000 NAC_2
DE EX_M 2014 1000 NAC 3 DE_EX_M_2014_1000 NAC_3
DE EX_M 2014 1000 NAC 3_1 DE_EX_M_2014_1000 NAC_3_1
DE EX_M 2014 1000 NAC 3_2 DE_EX_M_2014_1000 NAC_3_2
DE EX_M 2014 1000 NAC 4 DE_EX_M_2014_1000 NAC_4
DE EX_M 2014 1000 NAC 4_1 DE_EX_M_2014_1000 NAC_4_1
DE EX_M 2014 1000 NAC 4_2 DE_EX_M_2014_1000 NAC_4_2
DE EX_M 2014 1000 NAC 5 DE_EX_M_2014_1000 NAC_5
DE EX_M 2014 1000 NAC 5_C DE_EX_M_2014_1000 NAC_5_C
DE EX_M 2014 1000 NAC 5_NC DE_EX_M_2014_1000 NAC_5_NC
DE EX_M 2014 1000 NAC 5_NC_T DE_EX_M_2014_1000 NAC_5_NC_T
DE EX_M 2014 1000 NAC 6 DE_EX_M_2014_1000 NAC_6
DE EX_M 2014 1000 NAC 6_1 DE_EX_M_2014_1000 NAC_6_1
DE EX_M 2014 1000 NAC 6_1_C DE_EX_M_2014_1000 NAC_6_1_C
DE EX_M 2014 1000 NAC 6_1_NC DE_EX_M_2014_1000 NAC_6_1_NC
DE EX_M 2014 1000 NAC 6_1_NC_T DE_EX_M_2014_1000 NAC_6_1_NC_T
DE EX_M 2014 1000 NAC 6_2 DE_EX_M_2014_1000 NAC_6_2
DE EX_M 2014 1000 NAC 6_2_C DE_EX_M_2014_1000 NAC_6_2_C
DE EX_M 2014 1000 NAC 6_2_NC DE_EX_M_2014_1000 NAC_6_2_NC
DE EX_M 2014 1000 NAC 6_2_NC_T DE_EX_M_2014_1000 NAC_6_2_NC_T
DE EX_M 2014 1000 NAC 6_3 DE_EX_M_2014_1000 NAC_6_3
DE EX_M 2014 1000 NAC 6_3_1 DE_EX_M_2014_1000 NAC_6_3_1
DE EX_M 2014 1000 NAC 6_4 DE_EX_M_2014_1000 NAC_6_4
DE EX_M 2014 1000 NAC 6_4_1 DE_EX_M_2014_1000 NAC_6_4_1
DE EX_M 2014 1000 NAC 6_4_2 DE_EX_M_2014_1000 NAC_6_4_2
DE EX_M 2014 1000 NAC 6_4_3 DE_EX_M_2014_1000 NAC_6_4_3
DE EX_M 2014 1000 NAC 7 DE_EX_M_2014_1000 NAC_7
DE EX_M 2014 1000 NAC 7_1 DE_EX_M_2014_1000 NAC_7_1
DE EX_M 2014 1000 NAC 7_2 DE_EX_M_2014_1000 NAC_7_2
DE EX_M 2014 1000 NAC 7_3 DE_EX_M_2014_1000 NAC_7_3
DE EX_M 2014 1000 NAC 7_3_1 DE_EX_M_2014_1000 NAC_7_3_1
DE EX_M 2014 1000 NAC 7_3_2 DE_EX_M_2014_1000 NAC_7_3_2
DE EX_M 2014 1000 NAC 7_3_3 DE_EX_M_2014_1000 NAC_7_3_3
DE EX_M 2014 1000 NAC 7_3_4 DE_EX_M_2014_1000 NAC_7_3_4
DE EX_M 2014 1000 NAC 7_4 DE_EX_M_2014_1000 NAC_7_4
DE EX_M 2014 1000 NAC 8 DE_EX_M_2014_1000 NAC_8
DE EX_M 2014 1000 NAC 8_1 DE_EX_M_2014_1000 NAC_8_1
DE EX_M 2014 1000 NAC 8_2 DE_EX_M_2014_1000 NAC_8_2
DE EX_M 2014 1000 NAC 9 DE_EX_M_2014_1000 NAC_9
DE EX_M 2014 1000 NAC 10 DE_EX_M_2014_1000 NAC_10
DE EX_M 2014 1000 NAC 10_1 DE_EX_M_2014_1000 NAC_10_1
DE EX_M 2014 1000 NAC 10_1_1 DE_EX_M_2014_1000 NAC_10_1_1
DE EX_M 2014 1000 NAC 10_1_2 DE_EX_M_2014_1000 NAC_10_1_2
DE EX_M 2014 1000 NAC 10_1_3 DE_EX_M_2014_1000 NAC_10_1_3
DE EX_M 2014 1000 NAC 10_1_4 DE_EX_M_2014_1000 NAC_10_1_4
DE EX_M 2014 1000 NAC 10_2 DE_EX_M_2014_1000 NAC_10_2
DE EX_M 2014 1000 NAC 10_3 DE_EX_M_2014_1000 NAC_10_3
DE EX_M 2014 1000 NAC 10_3_1 DE_EX_M_2014_1000 NAC_10_3_1
DE EX_M 2014 1000 NAC 10_3_2 DE_EX_M_2014_1000 NAC_10_3_2
DE EX_M 2014 1000 NAC 10_3_3 DE_EX_M_2014_1000 NAC_10_3_3
DE EX_M 2014 1000 NAC 10_3_4 DE_EX_M_2014_1000 NAC_10_3_4
DE EX_M 2014 1000 NAC 10_4 DE_EX_M_2014_1000 NAC_10_4
DE EX_X 2014 1000 m3 1 DE_EX_X_2014_1000 m3_1
DE EX_X 2014 1000 m3 1_1 DE_EX_X_2014_1000 m3_1_1
DE EX_X 2014 1000 m3 1_2 DE_EX_X_2014_1000 m3_1_2
DE EX_X 2014 1000 m3 1_2_C DE_EX_X_2014_1000 m3_1_2_C
DE EX_X 2014 1000 m3 1_2_NC DE_EX_X_2014_1000 m3_1_2_NC
DE EX_X 2014 1000 m3 1_2_NC_T DE_EX_X_2014_1000 m3_1_2_NC_T
DE EX_X 2014 1000 mt 2 DE_EX_X_2014_1000 mt_2
DE EX_X 2014 1000 m3 3 DE_EX_X_2014_1000 m3_3
DE EX_X 2014 1000 m3 3_1 DE_EX_X_2014_1000 m3_3_1
DE EX_X 2014 1000 m3 3_2 DE_EX_X_2014_1000 m3_3_2
DE EX_X 2014 1000 mt 4 DE_EX_X_2014_1000 mt_4
DE EX_X 2014 1000 mt 4_1 DE_EX_X_2014_1000 mt_4_1
DE EX_X 2014 1000 mt 4_2 DE_EX_X_2014_1000 mt_4_2
DE EX_X 2014 1000 m3 5 DE_EX_X_2014_1000 m3_5
DE EX_X 2014 1000 m3 5_C DE_EX_X_2014_1000 m3_5_C
DE EX_X 2014 1000 m3 5_NC DE_EX_X_2014_1000 m3_5_NC
DE EX_X 2014 1000 m3 5_NC_T DE_EX_X_2014_1000 m3_5_NC_T
DE EX_X 2014 1000 m3 6 DE_EX_X_2014_1000 m3_6
DE EX_X 2014 1000 m3 6_1 DE_EX_X_2014_1000 m3_6_1
DE EX_X 2014 1000 m3 6_1_C DE_EX_X_2014_1000 m3_6_1_C
DE EX_X 2014 1000 m3 6_1_NC DE_EX_X_2014_1000 m3_6_1_NC
DE EX_X 2014 1000 m3 6_1_NC_T DE_EX_X_2014_1000 m3_6_1_NC_T
DE EX_X 2014 1000 m3 6_2 DE_EX_X_2014_1000 m3_6_2
DE EX_X 2014 1000 m3 6_2_C DE_EX_X_2014_1000 m3_6_2_C
DE EX_X 2014 1000 m3 6_2_NC DE_EX_X_2014_1000 m3_6_2_NC
DE EX_X 2014 1000 m3 6_2_NC_T DE_EX_X_2014_1000 m3_6_2_NC_T
DE EX_X 2014 1000 m3 6_3 DE_EX_X_2014_1000 m3_6_3
DE EX_X 2014 1000 m3 6_3_1 DE_EX_X_2014_1000 m3_6_3_1
DE EX_X 2014 1000 m3 6_4 DE_EX_X_2014_1000 m3_6_4
DE EX_X 2014 1000 m3 6_4_1 DE_EX_X_2014_1000 m3_6_4_1
DE EX_X 2014 1000 m3 6_4_2 DE_EX_X_2014_1000 m3_6_4_2
DE EX_X 2014 1000 m3 6_4_3 DE_EX_X_2014_1000 m3_6_4_3
DE EX_X 2014 1000 mt 7 DE_EX_X_2014_1000 mt_7
DE EX_X 2014 1000 mt 7_1 DE_EX_X_2014_1000 mt_7_1
DE EX_X 2014 1000 mt 7_2 DE_EX_X_2014_1000 mt_7_2
DE EX_X 2014 1000 mt 7_3 DE_EX_X_2014_1000 mt_7_3
DE EX_X 2014 1000 mt 7_3_1 DE_EX_X_2014_1000 mt_7_3_1
DE EX_X 2014 1000 mt 7_3_2 DE_EX_X_2014_1000 mt_7_3_2
DE EX_X 2014 1000 mt 7_3_3 DE_EX_X_2014_1000 mt_7_3_3
DE EX_X 2014 1000 mt 7_3_4 DE_EX_X_2014_1000 mt_7_3_4
DE EX_X 2014 1000 mt 7_4 DE_EX_X_2014_1000 mt_7_4
DE EX_X 2014 1000 mt 8 DE_EX_X_2014_1000 mt_8
DE EX_X 2014 1000 mt 8_1 DE_EX_X_2014_1000 mt_8_1
DE EX_X 2014 1000 mt 8_2 DE_EX_X_2014_1000 mt_8_2
DE EX_X 2014 1000 mt 9 DE_EX_X_2014_1000 mt_9
DE EX_X 2014 1000 mt 10 DE_EX_X_2014_1000 mt_10
DE EX_X 2014 1000 mt 10_1 DE_EX_X_2014_1000 mt_10_1
DE EX_X 2014 1000 mt 10_1_1 DE_EX_X_2014_1000 mt_10_1_1
DE EX_X 2014 1000 mt 10_1_2 DE_EX_X_2014_1000 mt_10_1_2
DE EX_X 2014 1000 mt 10_1_3 DE_EX_X_2014_1000 mt_10_1_3
DE EX_X 2014 1000 mt 10_1_4 DE_EX_X_2014_1000 mt_10_1_4
DE EX_X 2014 1000 mt 10_2 DE_EX_X_2014_1000 mt_10_2
DE EX_X 2014 1000 mt 10_3 DE_EX_X_2014_1000 mt_10_3
DE EX_X 2014 1000 mt 10_3_1 DE_EX_X_2014_1000 mt_10_3_1
DE EX_X 2014 1000 mt 10_3_2 DE_EX_X_2014_1000 mt_10_3_2
DE EX_X 2014 1000 mt 10_3_3 DE_EX_X_2014_1000 mt_10_3_3
DE EX_X 2014 1000 mt 10_3_4 DE_EX_X_2014_1000 mt_10_3_4
DE EX_X 2014 1000 mt 10_4 DE_EX_X_2014_1000 mt_10_4
DE EX_X 2014 1000 NAC 1 DE_EX_X_2014_1000 NAC_1
DE EX_X 2014 1000 NAC 1_1 DE_EX_X_2014_1000 NAC_1_1
DE EX_X 2014 1000 NAC 1_2 DE_EX_X_2014_1000 NAC_1_2
DE EX_X 2014 1000 NAC 1_2_C DE_EX_X_2014_1000 NAC_1_2_C
DE EX_X 2014 1000 NAC 1_2_NC DE_EX_X_2014_1000 NAC_1_2_NC
DE EX_X 2014 1000 NAC 1_2_NC_T DE_EX_X_2014_1000 NAC_1_2_NC_T
DE EX_X 2014 1000 NAC 2 DE_EX_X_2014_1000 NAC_2
DE EX_X 2014 1000 NAC 3 DE_EX_X_2014_1000 NAC_3
DE EX_X 2014 1000 NAC 3_1 DE_EX_X_2014_1000 NAC_3_1
DE EX_X 2014 1000 NAC 3_2 DE_EX_X_2014_1000 NAC_3_2
DE EX_X 2014 1000 NAC 4 DE_EX_X_2014_1000 NAC_4
DE EX_X 2014 1000 NAC 4_1 DE_EX_X_2014_1000 NAC_4_1
DE EX_X 2014 1000 NAC 4_2 DE_EX_X_2014_1000 NAC_4_2
DE EX_X 2014 1000 NAC 5 DE_EX_X_2014_1000 NAC_5
DE EX_X 2014 1000 NAC 5_C DE_EX_X_2014_1000 NAC_5_C
DE EX_X 2014 1000 NAC 5_NC DE_EX_X_2014_1000 NAC_5_NC
DE EX_X 2014 1000 NAC 5_NC_T DE_EX_X_2014_1000 NAC_5_NC_T
DE EX_X 2014 1000 NAC 6 DE_EX_X_2014_1000 NAC_6
DE EX_X 2014 1000 NAC 6_1 DE_EX_X_2014_1000 NAC_6_1
DE EX_X 2014 1000 NAC 6_1_C DE_EX_X_2014_1000 NAC_6_1_C
DE EX_X 2014 1000 NAC 6_1_NC DE_EX_X_2014_1000 NAC_6_1_NC
DE EX_X 2014 1000 NAC 6_1_NC_T DE_EX_X_2014_1000 NAC_6_1_NC_T
DE EX_X 2014 1000 NAC 6_2 DE_EX_X_2014_1000 NAC_6_2
DE EX_X 2014 1000 NAC 6_2_C DE_EX_X_2014_1000 NAC_6_2_C
DE EX_X 2014 1000 NAC 6_2_NC DE_EX_X_2014_1000 NAC_6_2_NC
DE EX_X 2014 1000 NAC 6_2_NC_T DE_EX_X_2014_1000 NAC_6_2_NC_T
DE EX_X 2014 1000 NAC 6_3 DE_EX_X_2014_1000 NAC_6_3
DE EX_X 2014 1000 NAC 6_3_1 DE_EX_X_2014_1000 NAC_6_3_1
DE EX_X 2014 1000 NAC 6_4 DE_EX_X_2014_1000 NAC_6_4
DE EX_X 2014 1000 NAC 6_4_1 DE_EX_X_2014_1000 NAC_6_4_1
DE EX_X 2014 1000 NAC 6_4_2 DE_EX_X_2014_1000 NAC_6_4_2
DE EX_X 2014 1000 NAC 6_4_3 DE_EX_X_2014_1000 NAC_6_4_3
DE EX_X 2014 1000 NAC 7 DE_EX_X_2014_1000 NAC_7
DE EX_X 2014 1000 NAC 7_1 DE_EX_X_2014_1000 NAC_7_1
DE EX_X 2014 1000 NAC 7_2 DE_EX_X_2014_1000 NAC_7_2
DE EX_X 2014 1000 NAC 7_3 DE_EX_X_2014_1000 NAC_7_3
DE EX_X 2014 1000 NAC 7_3_1 DE_EX_X_2014_1000 NAC_7_3_1
DE EX_X 2014 1000 NAC 7_3_2 DE_EX_X_2014_1000 NAC_7_3_2
DE EX_X 2014 1000 NAC 7_3_3 DE_EX_X_2014_1000 NAC_7_3_3
DE EX_X 2014 1000 NAC 7_3_4 DE_EX_X_2014_1000 NAC_7_3_4
DE EX_X 2014 1000 NAC 7_4 DE_EX_X_2014_1000 NAC_7_4
DE EX_X 2014 1000 NAC 8 DE_EX_X_2014_1000 NAC_8
DE EX_X 2014 1000 NAC 8_1 DE_EX_X_2014_1000 NAC_8_1
DE EX_X 2014 1000 NAC 8_2 DE_EX_X_2014_1000 NAC_8_2
DE EX_X 2014 1000 NAC 9 DE_EX_X_2014_1000 NAC_9
DE EX_X 2014 1000 NAC 10 DE_EX_X_2014_1000 NAC_10
DE EX_X 2014 1000 NAC 10_1 DE_EX_X_2014_1000 NAC_10_1
DE EX_X 2014 1000 NAC 10_1_1 DE_EX_X_2014_1000 NAC_10_1_1
DE EX_X 2014 1000 NAC 10_1_2 DE_EX_X_2014_1000 NAC_10_1_2
DE EX_X 2014 1000 NAC 10_1_3 DE_EX_X_2014_1000 NAC_10_1_3
DE EX_X 2014 1000 NAC 10_1_4 DE_EX_X_2014_1000 NAC_10_1_4
DE EX_X 2014 1000 NAC 10_2 DE_EX_X_2014_1000 NAC_10_2
DE EX_X 2014 1000 NAC 10_3 DE_EX_X_2014_1000 NAC_10_3
DE EX_X 2014 1000 NAC 10_3_1 DE_EX_X_2014_1000 NAC_10_3_1
DE EX_X 2014 1000 NAC 10_3_2 DE_EX_X_2014_1000 NAC_10_3_2
DE EX_X 2014 1000 NAC 10_3_3 DE_EX_X_2014_1000 NAC_10_3_3
DE EX_X 2014 1000 NAC 10_3_4 DE_EX_X_2014_1000 NAC_10_3_4
DE EX_X 2014 1000 NAC 10_4 DE_EX_X_2014_1000 NAC_10_4
DE P 2014 1000 m3 EU2_1 DE_P_2014_1000 m3_EU2_1
DE P 2014 1000 m3 EU2_1_C DE_P_2014_1000 m3_EU2_1_C
DE P 2014 1000 m3 EU2_1_NC DE_P_2014_1000 m3_EU2_1_NC
DE P 2014 1000 m3 EU2_1_1 DE_P_2014_1000 m3_EU2_1_1
DE P 2014 1000 m3 EU2_1_1_C DE_P_2014_1000 m3_EU2_1_1_C
DE P 2014 1000 m3 EU2_1_1_NC DE_P_2014_1000 m3_EU2_1_1_NC
DE P 2014 1000 m3 EU2_1_2 DE_P_2014_1000 m3_EU2_1_2
DE P 2014 1000 m3 EU2_1_2_C DE_P_2014_1000 m3_EU2_1_2_C
DE P 2014 1000 m3 EU2_1_2_NC DE_P_2014_1000 m3_EU2_1_2_NC
DE P 2014 1000 m3 EU2_1_3 DE_P_2014_1000 m3_EU2_1_3
DE P 2014 1000 m3 EU2_1_3_C DE_P_2014_1000 m3_EU2_1_3_C
DE P 2014 1000 m3 EU2_1_3_NC DE_P_2014_1000 m3_EU2_1_3_NC
DE P.OB 2014 1000 m3 1 DE_P.OB_2014_1000 m3_1
DE P.OB 2014 1000 m3 1_C DE_P.OB_2014_1000 m3_1_C
DE P.OB 2014 1000 m3 1_NC DE_P.OB_2014_1000 m3_1_NC
DE P.OB 2014 1000 m3 1_1 DE_P.OB_2014_1000 m3_1_1
DE P.OB 2014 1000 m3 1_1_C DE_P.OB_2014_1000 m3_1_1_C
DE P.OB 2014 1000 m3 1_1_NC DE_P.OB_2014_1000 m3_1_1_NC
DE P.OB 2014 1000 m3 1_2 DE_P.OB_2014_1000 m3_1_2
DE P.OB 2014 1000 m3 1_2_C DE_P.OB_2014_1000 m3_1_2_C
DE P.OB 2014 1000 m3 1_2_NC DE_P.OB_2014_1000 m3_1_2_NC
DE P.OB 2014 1000 m3 1_2_1 DE_P.OB_2014_1000 m3_1_2_1
DE P.OB 2014 1000 m3 1_2_1_C DE_P.OB_2014_1000 m3_1_2_1_C
DE P.OB 2014 1000 m3 1_2_1_NC DE_P.OB_2014_1000 m3_1_2_1_NC
DE P.OB 2014 1000 m3 1_2_2 DE_P.OB_2014_1000 m3_1_2_2
DE P.OB 2014 1000 m3 1_2_2_C DE_P.OB_2014_1000 m3_1_2_2_C
DE P.OB 2014 1000 m3 1_2_2_NC DE_P.OB_2014_1000 m3_1_2_2_NC
DE P.OB 2014 1000 m3 1_2_3 DE_P.OB_2014_1000 m3_1_2_3
DE P.OB 2014 1000 m3 1_2_3_C DE_P.OB_2014_1000 m3_1_2_3_C
DE P.OB 2014 1000 m3 1_2_3_NC DE_P.OB_2014_1000 m3_1_2_3_NC
DE P 2013 1000 m3 1 DE_P_2013_1000 m3_1
DE P 2013 1000 m3 1_C DE_P_2013_1000 m3_1_C
DE P 2013 1000 m3 1_NC DE_P_2013_1000 m3_1_NC
DE P 2013 1000 m3 1_1 DE_P_2013_1000 m3_1_1
DE P 2013 1000 m3 1_1_C DE_P_2013_1000 m3_1_1_C
DE P 2013 1000 m3 1_1_NC DE_P_2013_1000 m3_1_1_NC
DE P 2013 1000 m3 1_2 DE_P_2013_1000 m3_1_2
DE P 2013 1000 m3 1_2_C DE_P_2013_1000 m3_1_2_C
DE P 2013 1000 m3 1_2_NC DE_P_2013_1000 m3_1_2_NC
DE P 2013 1000 m3 1_2_1 DE_P_2013_1000 m3_1_2_1
DE P 2013 1000 m3 1_2_1_C DE_P_2013_1000 m3_1_2_1_C
DE P 2013 1000 m3 1_2_1_NC DE_P_2013_1000 m3_1_2_1_NC
DE P 2013 1000 m3 1_2_2 DE_P_2013_1000 m3_1_2_2
DE P 2013 1000 m3 1_2_2_C DE_P_2013_1000 m3_1_2_2_C
DE P 2013 1000 m3 1_2_2_NC DE_P_2013_1000 m3_1_2_2_NC
DE P 2013 1000 m3 1_2_3 DE_P_2013_1000 m3_1_2_3
DE P 2013 1000 m3 1_2_3_C DE_P_2013_1000 m3_1_2_3_C
DE P 2013 1000 m3 1_2_3_NC DE_P_2013_1000 m3_1_2_3_NC
DE P 2013 1000 mt 2 DE_P_2013_1000 mt_2
DE P 2013 1000 m3 3 DE_P_2013_1000 m3_3
DE P 2013 1000 m3 3_1 DE_P_2013_1000 m3_3_1
DE P 2013 1000 m3 3_2 DE_P_2013_1000 m3_3_2
DE P 2013 1000 mt 4 DE_P_2013_1000 mt_4
DE P 2013 1000 mt 4_1 DE_P_2013_1000 mt_4_1
DE P 2013 1000 mt 4_2 DE_P_2013_1000 mt_4_2
DE P 2013 1000 m3 5 DE_P_2013_1000 m3_5
DE P 2013 1000 m3 5_C DE_P_2013_1000 m3_5_C
DE P 2013 1000 m3 5_NC DE_P_2013_1000 m3_5_NC
DE P 2013 1000 m3 5_NC_T DE_P_2013_1000 m3_5_NC_T
DE P 2013 1000 m3 6 DE_P_2013_1000 m3_6
DE P 2013 1000 m3 6_1 DE_P_2013_1000 m3_6_1
DE P 2013 1000 m3 6_1_C DE_P_2013_1000 m3_6_1_C
DE P 2013 1000 m3 6_1_NC DE_P_2013_1000 m3_6_1_NC
DE P 2013 1000 m3 6_1_NC_T DE_P_2013_1000 m3_6_1_NC_T
DE P 2013 1000 m3 6_2 DE_P_2013_1000 m3_6_2
DE P 2013 1000 m3 6_2_C DE_P_2013_1000 m3_6_2_C
DE P 2013 1000 m3 6_2_NC DE_P_2013_1000 m3_6_2_NC
DE P 2013 1000 m3 6_2_NC_T DE_P_2013_1000 m3_6_2_NC_T
DE P 2013 1000 m3 6_3 DE_P_2013_1000 m3_6_3
DE P 2013 1000 m3 6_3_1 DE_P_2013_1000 m3_6_3_1
DE P 2013 1000 m3 6_4 DE_P_2013_1000 m3_6_4
DE P 2013 1000 m3 6_4_1 DE_P_2013_1000 m3_6_4_1
DE P 2013 1000 m3 6_4_2 DE_P_2013_1000 m3_6_4_2
DE P 2013 1000 m3 6_4_3 DE_P_2013_1000 m3_6_4_3
DE P 2013 1000 mt 7 DE_P_2013_1000 mt_7
DE P 2013 1000 mt 7_1 DE_P_2013_1000 mt_7_1
DE P 2013 1000 mt 7_2 DE_P_2013_1000 mt_7_2
DE P 2013 1000 mt 7_3 DE_P_2013_1000 mt_7_3
DE P 2013 1000 mt 7_3_1 DE_P_2013_1000 mt_7_3_1
DE P 2013 1000 mt 7_3_2 DE_P_2013_1000 mt_7_3_2
DE P 2013 1000 mt 7_3_3 DE_P_2013_1000 mt_7_3_3
DE P 2013 1000 mt 7_3_4 DE_P_2013_1000 mt_7_3_4
DE P 2013 1000 mt 7_4 DE_P_2013_1000 mt_7_4
DE P 2013 1000 mt 8 DE_P_2013_1000 mt_8
DE P 2013 1000 mt 8_1 DE_P_2013_1000 mt_8_1
DE P 2013 1000 mt 8_2 DE_P_2013_1000 mt_8_2
DE P 2013 1000 mt 9 DE_P_2013_1000 mt_9
DE P 2013 1000 mt 10 DE_P_2013_1000 mt_10
DE P 2013 1000 mt 10_1 DE_P_2013_1000 mt_10_1
DE P 2013 1000 mt 10_1_1 DE_P_2013_1000 mt_10_1_1
DE P 2013 1000 mt 10_1_2 DE_P_2013_1000 mt_10_1_2
DE P 2013 1000 mt 10_1_3 DE_P_2013_1000 mt_10_1_3
DE P 2013 1000 mt 10_1_4 DE_P_2013_1000 mt_10_1_4
DE P 2013 1000 mt 10_2 DE_P_2013_1000 mt_10_2
DE P 2013 1000 mt 10_3 DE_P_2013_1000 mt_10_3
DE P 2013 1000 mt 10_3_1 DE_P_2013_1000 mt_10_3_1
DE P 2013 1000 mt 10_3_2 DE_P_2013_1000 mt_10_3_2
DE P 2013 1000 mt 10_3_3 DE_P_2013_1000 mt_10_3_3
DE P 2013 1000 mt 10_3_4 DE_P_2013_1000 mt_10_3_4
DE P 2013 1000 mt 10_4 DE_P_2013_1000 mt_10_4
DE M 2013 1000 m3 1 DE_M_2013_1000 m3_1
DE M 2013 1000 m3 1_1 DE_M_2013_1000 m3_1_1
DE M 2013 1000 m3 1_2 DE_M_2013_1000 m3_1_2
DE M 2013 1000 m3 1_2_C DE_M_2013_1000 m3_1_2_C
DE M 2013 1000 m3 1_2_NC DE_M_2013_1000 m3_1_2_NC
DE M 2013 1000 m3 1_2_NC_T DE_M_2013_1000 m3_1_2_NC_T
DE M 2013 1000 mt 2 DE_M_2013_1000 mt_2
DE M 2013 1000 m3 3 DE_M_2013_1000 m3_3
DE M 2013 1000 m3 3_1 DE_M_2013_1000 m3_3_1
DE M 2013 1000 m3 3_2 DE_M_2013_1000 m3_3_2
DE M 2013 1000 mt 4 DE_M_2013_1000 mt_4
DE M 2013 1000 mt 4_1 DE_M_2013_1000 mt_4_1
DE M 2013 1000 mt 4_2 DE_M_2013_1000 mt_4_2
DE M 2013 1000 m3 5 DE_M_2013_1000 m3_5
DE M 2013 1000 m3 5_C DE_M_2013_1000 m3_5_C
DE M 2013 1000 m3 5_NC DE_M_2013_1000 m3_5_NC
DE M 2013 1000 m3 5_NC_T DE_M_2013_1000 m3_5_NC_T
DE M 2013 1000 m3 6 DE_M_2013_1000 m3_6
DE M 2013 1000 m3 6_1 DE_M_2013_1000 m3_6_1
DE M 2013 1000 m3 6_1_C DE_M_2013_1000 m3_6_1_C
DE M 2013 1000 m3 6_1_NC DE_M_2013_1000 m3_6_1_NC
DE M 2013 1000 m3 6_1_NC_T DE_M_2013_1000 m3_6_1_NC_T
DE M 2013 1000 m3 6_2 DE_M_2013_1000 m3_6_2
DE M 2013 1000 m3 6_2_C DE_M_2013_1000 m3_6_2_C
DE M 2013 1000 m3 6_2_NC DE_M_2013_1000 m3_6_2_NC
DE M 2013 1000 m3 6_2_NC_T DE_M_2013_1000 m3_6_2_NC_T
DE M 2013 1000 m3 6_3 DE_M_2013_1000 m3_6_3
DE M 2013 1000 m3 6_3_1 DE_M_2013_1000 m3_6_3_1
DE M 2013 1000 m3 6_4 DE_M_2013_1000 m3_6_4
DE M 2013 1000 m3 6_4_1 DE_M_2013_1000 m3_6_4_1
DE M 2013 1000 m3 6_4_2 DE_M_2013_1000 m3_6_4_2
DE M 2013 1000 m3 6_4_3 DE_M_2013_1000 m3_6_4_3
DE M 2013 1000 mt 7 DE_M_2013_1000 mt_7
DE M 2013 1000 mt 7_1 DE_M_2013_1000 mt_7_1
DE M 2013 1000 mt 7_2 DE_M_2013_1000 mt_7_2
DE M 2013 1000 mt 7_3 DE_M_2013_1000 mt_7_3
DE M 2013 1000 mt 7_3_1 DE_M_2013_1000 mt_7_3_1
DE M 2013 1000 mt 7_3_2 DE_M_2013_1000 mt_7_3_2
DE M 2013 1000 mt 7_3_3 DE_M_2013_1000 mt_7_3_3
DE M 2013 1000 mt 7_3_4 DE_M_2013_1000 mt_7_3_4
DE M 2013 1000 mt 7_4 DE_M_2013_1000 mt_7_4
DE M 2013 1000 mt 8 DE_M_2013_1000 mt_8
DE M 2013 1000 mt 8_1 DE_M_2013_1000 mt_8_1
DE M 2013 1000 mt 8_2 DE_M_2013_1000 mt_8_2
DE M 2013 1000 mt 9 DE_M_2013_1000 mt_9
DE M 2013 1000 mt 10 DE_M_2013_1000 mt_10
DE M 2013 1000 mt 10_1 DE_M_2013_1000 mt_10_1
DE M 2013 1000 mt 10_1_1 DE_M_2013_1000 mt_10_1_1
DE M 2013 1000 mt 10_1_2 DE_M_2013_1000 mt_10_1_2
DE M 2013 1000 mt 10_1_3 DE_M_2013_1000 mt_10_1_3
DE M 2013 1000 mt 10_1_4 DE_M_2013_1000 mt_10_1_4
DE M 2013 1000 mt 10_2 DE_M_2013_1000 mt_10_2
DE M 2013 1000 mt 10_3 DE_M_2013_1000 mt_10_3
DE M 2013 1000 mt 10_3_1 DE_M_2013_1000 mt_10_3_1
DE M 2013 1000 mt 10_3_2 DE_M_2013_1000 mt_10_3_2
DE M 2013 1000 mt 10_3_3 DE_M_2013_1000 mt_10_3_3
DE M 2013 1000 mt 10_3_4 DE_M_2013_1000 mt_10_3_4
DE M 2013 1000 mt 10_4 DE_M_2013_1000 mt_10_4
DE M 2013 1000 NAC 1 DE_M_2013_1000 NAC_1
DE M 2013 1000 NAC 1_1 DE_M_2013_1000 NAC_1_1
DE M 2013 1000 NAC 1_2 DE_M_2013_1000 NAC_1_2
DE M 2013 1000 NAC 1_2_C DE_M_2013_1000 NAC_1_2_C
DE M 2013 1000 NAC 1_2_NC DE_M_2013_1000 NAC_1_2_NC
DE M 2013 1000 NAC 1_2_NC_T DE_M_2013_1000 NAC_1_2_NC_T
DE M 2013 1000 NAC 2 DE_M_2013_1000 NAC_2
DE M 2013 1000 NAC 3 DE_M_2013_1000 NAC_3
DE M 2013 1000 NAC 3_1 DE_M_2013_1000 NAC_3_1
DE M 2013 1000 NAC 3_2 DE_M_2013_1000 NAC_3_2
DE M 2013 1000 NAC 4 DE_M_2013_1000 NAC_4
DE M 2013 1000 NAC 4_1 DE_M_2013_1000 NAC_4_1
DE M 2013 1000 NAC 4_2 DE_M_2013_1000 NAC_4_2
DE M 2013 1000 NAC 5 DE_M_2013_1000 NAC_5
DE M 2013 1000 NAC 5_C DE_M_2013_1000 NAC_5_C
DE M 2013 1000 NAC 5_NC DE_M_2013_1000 NAC_5_NC
DE M 2013 1000 NAC 5_NC_T DE_M_2013_1000 NAC_5_NC_T
DE M 2013 1000 NAC 6 DE_M_2013_1000 NAC_6
DE M 2013 1000 NAC 6_1 DE_M_2013_1000 NAC_6_1
DE M 2013 1000 NAC 6_1_C DE_M_2013_1000 NAC_6_1_C
DE M 2013 1000 NAC 6_1_NC DE_M_2013_1000 NAC_6_1_NC
DE M 2013 1000 NAC 6_1_NC_T DE_M_2013_1000 NAC_6_1_NC_T
DE M 2013 1000 NAC 6_2 DE_M_2013_1000 NAC_6_2
DE M 2013 1000 NAC 6_2_C DE_M_2013_1000 NAC_6_2_C
DE M 2013 1000 NAC 6_2_NC DE_M_2013_1000 NAC_6_2_NC
DE M 2013 1000 NAC 6_2_NC_T DE_M_2013_1000 NAC_6_2_NC_T
DE M 2013 1000 NAC 6_3 DE_M_2013_1000 NAC_6_3
DE M 2013 1000 NAC 6_3_1 DE_M_2013_1000 NAC_6_3_1
DE M 2013 1000 NAC 6_4 DE_M_2013_1000 NAC_6_4
DE M 2013 1000 NAC 6_4_1 DE_M_2013_1000 NAC_6_4_1
DE M 2013 1000 NAC 6_4_2 DE_M_2013_1000 NAC_6_4_2
DE M 2013 1000 NAC 6_4_3 DE_M_2013_1000 NAC_6_4_3
DE M 2013 1000 NAC 7 DE_M_2013_1000 NAC_7
DE M 2013 1000 NAC 7_1 DE_M_2013_1000 NAC_7_1
DE M 2013 1000 NAC 7_2 DE_M_2013_1000 NAC_7_2
DE M 2013 1000 NAC 7_3 DE_M_2013_1000 NAC_7_3
DE M 2013 1000 NAC 7_3_1 DE_M_2013_1000 NAC_7_3_1
DE M 2013 1000 NAC 7_3_2 DE_M_2013_1000 NAC_7_3_2
DE M 2013 1000 NAC 7_3_3 DE_M_2013_1000 NAC_7_3_3
DE M 2013 1000 NAC 7_3_4 DE_M_2013_1000 NAC_7_3_4
DE M 2013 1000 NAC 7_4 DE_M_2013_1000 NAC_7_4
DE M 2013 1000 NAC 8 DE_M_2013_1000 NAC_8
DE M 2013 1000 NAC 8_1 DE_M_2013_1000 NAC_8_1
DE M 2013 1000 NAC 8_2 DE_M_2013_1000 NAC_8_2
DE M 2013 1000 NAC 9 DE_M_2013_1000 NAC_9
DE M 2013 1000 NAC 10 DE_M_2013_1000 NAC_10
DE M 2013 1000 NAC 10_1 DE_M_2013_1000 NAC_10_1
DE M 2013 1000 NAC 10_1_1 DE_M_2013_1000 NAC_10_1_1
DE M 2013 1000 NAC 10_1_2 DE_M_2013_1000 NAC_10_1_2
DE M 2013 1000 NAC 10_1_3 DE_M_2013_1000 NAC_10_1_3
DE M 2013 1000 NAC 10_1_4 DE_M_2013_1000 NAC_10_1_4
DE M 2013 1000 NAC 10_2 DE_M_2013_1000 NAC_10_2
DE M 2013 1000 NAC 10_3 DE_M_2013_1000 NAC_10_3
DE M 2013 1000 NAC 10_3_1 DE_M_2013_1000 NAC_10_3_1
DE M 2013 1000 NAC 10_3_2 DE_M_2013_1000 NAC_10_3_2
DE M 2013 1000 NAC 10_3_3 DE_M_2013_1000 NAC_10_3_3
DE M 2013 1000 NAC 10_3_4 DE_M_2013_1000 NAC_10_3_4
DE M 2013 1000 NAC 10_4 DE_M_2013_1000 NAC_10_4
DE X 2013 1000 m3 1 DE_X_2013_1000 m3_1
DE X 2013 1000 m3 1_1 DE_X_2013_1000 m3_1_1
DE X 2013 1000 m3 1_2 DE_X_2013_1000 m3_1_2
DE X 2013 1000 m3 1_2_C DE_X_2013_1000 m3_1_2_C
DE X 2013 1000 m3 1_2_NC DE_X_2013_1000 m3_1_2_NC
DE X 2013 1000 m3 1_2_NC_T DE_X_2013_1000 m3_1_2_NC_T
DE X 2013 1000 mt 2 DE_X_2013_1000 mt_2
DE X 2013 1000 m3 3 DE_X_2013_1000 m3_3
DE X 2013 1000 m3 3_1 DE_X_2013_1000 m3_3_1
DE X 2013 1000 m3 3_2 DE_X_2013_1000 m3_3_2
DE X 2013 1000 mt 4 DE_X_2013_1000 mt_4
DE X 2013 1000 mt 4_1 DE_X_2013_1000 mt_4_1
DE X 2013 1000 mt 4_2 DE_X_2013_1000 mt_4_2
DE X 2013 1000 m3 5 DE_X_2013_1000 m3_5
DE X 2013 1000 m3 5_C DE_X_2013_1000 m3_5_C
DE X 2013 1000 m3 5_NC DE_X_2013_1000 m3_5_NC
DE X 2013 1000 m3 5_NC_T DE_X_2013_1000 m3_5_NC_T
DE X 2013 1000 m3 6 DE_X_2013_1000 m3_6
DE X 2013 1000 m3 6_1 DE_X_2013_1000 m3_6_1
DE X 2013 1000 m3 6_1_C DE_X_2013_1000 m3_6_1_C
DE X 2013 1000 m3 6_1_NC DE_X_2013_1000 m3_6_1_NC
DE X 2013 1000 m3 6_1_NC_T DE_X_2013_1000 m3_6_1_NC_T
DE X 2013 1000 m3 6_2 DE_X_2013_1000 m3_6_2
DE X 2013 1000 m3 6_2_C DE_X_2013_1000 m3_6_2_C
DE X 2013 1000 m3 6_2_NC DE_X_2013_1000 m3_6_2_NC
DE X 2013 1000 m3 6_2_NC_T DE_X_2013_1000 m3_6_2_NC_T
DE X 2013 1000 m3 6_3 DE_X_2013_1000 m3_6_3
DE X 2013 1000 m3 6_3_1 DE_X_2013_1000 m3_6_3_1
DE X 2013 1000 m3 6_4 DE_X_2013_1000 m3_6_4
DE X 2013 1000 m3 6_4_1 DE_X_2013_1000 m3_6_4_1
DE X 2013 1000 m3 6_4_2 DE_X_2013_1000 m3_6_4_2
DE X 2013 1000 m3 6_4_3 DE_X_2013_1000 m3_6_4_3
DE X 2013 1000 mt 7 DE_X_2013_1000 mt_7
DE X 2013 1000 mt 7_1 DE_X_2013_1000 mt_7_1
DE X 2013 1000 mt 7_2 DE_X_2013_1000 mt_7_2
DE X 2013 1000 mt 7_3 DE_X_2013_1000 mt_7_3
DE X 2013 1000 mt 7_3_1 DE_X_2013_1000 mt_7_3_1
DE X 2013 1000 mt 7_3_2 DE_X_2013_1000 mt_7_3_2
DE X 2013 1000 mt 7_3_3 DE_X_2013_1000 mt_7_3_3
DE X 2013 1000 mt 7_3_4 DE_X_2013_1000 mt_7_3_4
DE X 2013 1000 mt 7_4 DE_X_2013_1000 mt_7_4
DE X 2013 1000 mt 8 DE_X_2013_1000 mt_8
DE X 2013 1000 mt 8_1 DE_X_2013_1000 mt_8_1
DE X 2013 1000 mt 8_2 DE_X_2013_1000 mt_8_2
DE X 2013 1000 mt 9 DE_X_2013_1000 mt_9
DE X 2013 1000 mt 10 DE_X_2013_1000 mt_10
DE X 2013 1000 mt 10_1 DE_X_2013_1000 mt_10_1
DE X 2013 1000 mt 10_1_1 DE_X_2013_1000 mt_10_1_1
DE X 2013 1000 mt 10_1_2 DE_X_2013_1000 mt_10_1_2
DE X 2013 1000 mt 10_1_3 DE_X_2013_1000 mt_10_1_3
DE X 2013 1000 mt 10_1_4 DE_X_2013_1000 mt_10_1_4
DE X 2013 1000 mt 10_2 DE_X_2013_1000 mt_10_2
DE X 2013 1000 mt 10_3 DE_X_2013_1000 mt_10_3
DE X 2013 1000 mt 10_3_1 DE_X_2013_1000 mt_10_3_1
DE X 2013 1000 mt 10_3_2 DE_X_2013_1000 mt_10_3_2
DE X 2013 1000 mt 10_3_3 DE_X_2013_1000 mt_10_3_3
DE X 2013 1000 mt 10_3_4 DE_X_2013_1000 mt_10_3_4
DE X 2013 1000 mt 10_4 DE_X_2013_1000 mt_10_4
DE X 2013 1000 NAC 1 DE_X_2013_1000 NAC_1
DE X 2013 1000 NAC 1_1 DE_X_2013_1000 NAC_1_1
DE X 2013 1000 NAC 1_2 DE_X_2013_1000 NAC_1_2
DE X 2013 1000 NAC 1_2_C DE_X_2013_1000 NAC_1_2_C
DE X 2013 1000 NAC 1_2_NC DE_X_2013_1000 NAC_1_2_NC
DE X 2013 1000 NAC 1_2_NC_T DE_X_2013_1000 NAC_1_2_NC_T
DE X 2013 1000 NAC 2 DE_X_2013_1000 NAC_2
DE X 2013 1000 NAC 3 DE_X_2013_1000 NAC_3
DE X 2013 1000 NAC 3_1 DE_X_2013_1000 NAC_3_1
DE X 2013 1000 NAC 3_2 DE_X_2013_1000 NAC_3_2
DE X 2013 1000 NAC 4 DE_X_2013_1000 NAC_4
DE X 2013 1000 NAC 4_1 DE_X_2013_1000 NAC_4_1
DE X 2013 1000 NAC 4_2 DE_X_2013_1000 NAC_4_2
DE X 2013 1000 NAC 5 DE_X_2013_1000 NAC_5
DE X 2013 1000 NAC 5_C DE_X_2013_1000 NAC_5_C
DE X 2013 1000 NAC 5_NC DE_X_2013_1000 NAC_5_NC
DE X 2013 1000 NAC 5_NC_T DE_X_2013_1000 NAC_5_NC_T
DE X 2013 1000 NAC 6 DE_X_2013_1000 NAC_6
DE X 2013 1000 NAC 6_1 DE_X_2013_1000 NAC_6_1
DE X 2013 1000 NAC 6_1_C DE_X_2013_1000 NAC_6_1_C
DE X 2013 1000 NAC 6_1_NC DE_X_2013_1000 NAC_6_1_NC
DE X 2013 1000 NAC 6_1_NC_T DE_X_2013_1000 NAC_6_1_NC_T
DE X 2013 1000 NAC 6_2 DE_X_2013_1000 NAC_6_2
DE X 2013 1000 NAC 6_2_C DE_X_2013_1000 NAC_6_2_C
DE X 2013 1000 NAC 6_2_NC DE_X_2013_1000 NAC_6_2_NC
DE X 2013 1000 NAC 6_2_NC_T DE_X_2013_1000 NAC_6_2_NC_T
DE X 2013 1000 NAC 6_3 DE_X_2013_1000 NAC_6_3
DE X 2013 1000 NAC 6_3_1 DE_X_2013_1000 NAC_6_3_1
DE X 2013 1000 NAC 6_4 DE_X_2013_1000 NAC_6_4
DE X 2013 1000 NAC 6_4_1 DE_X_2013_1000 NAC_6_4_1
DE X 2013 1000 NAC 6_4_2 DE_X_2013_1000 NAC_6_4_2
DE X 2013 1000 NAC 6_4_3 DE_X_2013_1000 NAC_6_4_3
DE X 2013 1000 NAC 7 DE_X_2013_1000 NAC_7
DE X 2013 1000 NAC 7_1 DE_X_2013_1000 NAC_7_1
DE X 2013 1000 NAC 7_2 DE_X_2013_1000 NAC_7_2
DE X 2013 1000 NAC 7_3 DE_X_2013_1000 NAC_7_3
DE X 2013 1000 NAC 7_3_1 DE_X_2013_1000 NAC_7_3_1
DE X 2013 1000 NAC 7_3_2 DE_X_2013_1000 NAC_7_3_2
DE X 2013 1000 NAC 7_3_3 DE_X_2013_1000 NAC_7_3_3
DE X 2013 1000 NAC 7_3_4 DE_X_2013_1000 NAC_7_3_4
DE X 2013 1000 NAC 7_4 DE_X_2013_1000 NAC_7_4
DE X 2013 1000 NAC 8 DE_X_2013_1000 NAC_8
DE X 2013 1000 NAC 8_1 DE_X_2013_1000 NAC_8_1
DE X 2013 1000 NAC 8_2 DE_X_2013_1000 NAC_8_2
DE X 2013 1000 NAC 9 DE_X_2013_1000 NAC_9
DE X 2013 1000 NAC 10 DE_X_2013_1000 NAC_10
DE X 2013 1000 NAC 10_1 DE_X_2013_1000 NAC_10_1
DE X 2013 1000 NAC 10_1_1 DE_X_2013_1000 NAC_10_1_1
DE X 2013 1000 NAC 10_1_2 DE_X_2013_1000 NAC_10_1_2
DE X 2013 1000 NAC 10_1_3 DE_X_2013_1000 NAC_10_1_3
DE X 2013 1000 NAC 10_1_4 DE_X_2013_1000 NAC_10_1_4
DE X 2013 1000 NAC 10_2 DE_X_2013_1000 NAC_10_2
DE X 2013 1000 NAC 10_3 DE_X_2013_1000 NAC_10_3
DE X 2013 1000 NAC 10_3_1 DE_X_2013_1000 NAC_10_3_1
DE X 2013 1000 NAC 10_3_2 DE_X_2013_1000 NAC_10_3_2
DE X 2013 1000 NAC 10_3_3 DE_X_2013_1000 NAC_10_3_3
DE X 2013 1000 NAC 10_3_4 DE_X_2013_1000 NAC_10_3_4
DE X 2013 1000 NAC 10_4 DE_X_2013_1000 NAC_10_4
DE M 2013 1000 NAC 11_1 DE_M_2013_1000 NAC_11_1
DE M 2013 1000 NAC 11_1_C DE_M_2013_1000 NAC_11_1_C
DE M 2013 1000 NAC 11_1_NC DE_M_2013_1000 NAC_11_1_NC
DE M 2013 1000 NAC 11_1_NC_T DE_M_2013_1000 NAC_11_1_NC_T
DE M 2013 1000 NAC 11_2 DE_M_2013_1000 NAC_11_2
DE M 2013 1000 NAC 11_3 DE_M_2013_1000 NAC_11_3
DE M 2013 1000 NAC 11_4 DE_M_2013_1000 NAC_11_4
DE M 2013 1000 NAC 11_5 DE_M_2013_1000 NAC_11_5
DE M 2013 1000 NAC 11_6 DE_M_2013_1000 NAC_11_6
DE M 2013 1000 NAC 11_7 DE_M_2013_1000 NAC_11_7
DE M 2013 1000 NAC 11_7_1 DE_M_2013_1000 NAC_11_7_1
DE M 2013 1000 NAC 12_1 DE_M_2013_1000 NAC_12_1
DE M 2013 1000 NAC 12_2 DE_M_2013_1000 NAC_12_2
DE M 2013 1000 NAC 12_3 DE_M_2013_1000 NAC_12_3
DE M 2013 1000 NAC 12_4 DE_M_2013_1000 NAC_12_4
DE M 2013 1000 NAC 12_5 DE_M_2013_1000 NAC_12_5
DE M 2013 1000 NAC 12_6 DE_M_2013_1000 NAC_12_6
DE M 2013 1000 NAC 12_6_1 DE_M_2013_1000 NAC_12_6_1
DE M 2013 1000 NAC 12_6_2 DE_M_2013_1000 NAC_12_6_2
DE M 2013 1000 NAC 12_6_3 DE_M_2013_1000 NAC_12_6_3
DE M 2013 1000 NAC 12_7 DE_M_2013_1000 NAC_12_7
DE M 2013 1000 NAC 12_7_1 DE_M_2013_1000 NAC_12_7_1
DE M 2013 1000 NAC 12_7_2 DE_M_2013_1000 NAC_12_7_2
DE M 2013 1000 NAC 12_7_3 DE_M_2013_1000 NAC_12_7_3
DE X 2013 1000 NAC 11_1 DE_X_2013_1000 NAC_11_1
DE X 2013 1000 NAC 11_1_C DE_X_2013_1000 NAC_11_1_C
DE X 2013 1000 NAC 11_1_NC DE_X_2013_1000 NAC_11_1_NC
DE X 2013 1000 NAC 11_1_NC_T DE_X_2013_1000 NAC_11_1_NC_T
DE X 2013 1000 NAC 11_2 DE_X_2013_1000 NAC_11_2
DE X 2013 1000 NAC 11_3 DE_X_2013_1000 NAC_11_3
DE X 2013 1000 NAC 11_4 DE_X_2013_1000 NAC_11_4
DE X 2013 1000 NAC 11_5 DE_X_2013_1000 NAC_11_5
DE X 2013 1000 NAC 11_6 DE_X_2013_1000 NAC_11_6
DE X 2013 1000 NAC 11_7 DE_X_2013_1000 NAC_11_7
DE X 2013 1000 NAC 11_7_1 DE_X_2013_1000 NAC_11_7_1
DE X 2013 1000 NAC 12_1 DE_X_2013_1000 NAC_12_1
DE X 2013 1000 NAC 12_2 DE_X_2013_1000 NAC_12_2
DE X 2013 1000 NAC 12_3 DE_X_2013_1000 NAC_12_3
DE X 2013 1000 NAC 12_4 DE_X_2013_1000 NAC_12_4
DE X 2013 1000 NAC 12_5 DE_X_2013_1000 NAC_12_5
DE X 2013 1000 NAC 12_6 DE_X_2013_1000 NAC_12_6
DE X 2013 1000 NAC 12_6_1 DE_X_2013_1000 NAC_12_6_1
DE X 2013 1000 NAC 12_6_2 DE_X_2013_1000 NAC_12_6_2
DE X 2013 1000 NAC 12_6_3 DE_X_2013_1000 NAC_12_6_3
DE X 2013 1000 NAC 12_7 DE_X_2013_1000 NAC_12_7
DE X 2013 1000 NAC 12_7_1 DE_X_2013_1000 NAC_12_7_1
DE X 2013 1000 NAC 12_7_2 DE_X_2013_1000 NAC_12_7_2
DE X 2013 1000 NAC 12_7_3 DE_X_2013_1000 NAC_12_7_3
DE M 2013 1000 m3 ST_1_2_C DE_M_2013_1000 m3_ST_1_2_C
DE M 2013 1000 m3 ST_1_2_C_1 DE_M_2013_1000 m3_ST_1_2_C_1
DE M 2013 1000 m3 ST_1_2_C_1_1 DE_M_2013_1000 m3_ST_1_2_C_1_1
DE M 2013 1000 m3 ST_1_2_C_2_1 DE_M_2013_1000 m3_ST_1_2_C_2_1
DE M 2013 1000 m3 ST_1_2_C_2 DE_M_2013_1000 m3_ST_1_2_C_2
DE M 2013 1000 m3 ST_1_2_C_1_2 DE_M_2013_1000 m3_ST_1_2_C_1_2
DE M 2013 1000 m3 ST_1_2_C_2_2 DE_M_2013_1000 m3_ST_1_2_C_2_2
DE M 2013 1000 m3 ST_1_2_C_3 DE_M_2013_1000 m3_ST_1_2_C_3
DE M 2013 1000 m3 ST_1_2_C_1_3 DE_M_2013_1000 m3_ST_1_2_C_1_3
DE M 2013 1000 m3 ST_1_2_C_2_3 DE_M_2013_1000 m3_ST_1_2_C_2_3
DE M 2013 1000 m3 ST_1_2_NC DE_M_2013_1000 m3_ST_1_2_NC
DE M 2013 1000 m3 ST_1_2_NC_1 DE_M_2013_1000 m3_ST_1_2_NC_1
DE M 2013 1000 m3 ST_1_2_NC_1_1 DE_M_2013_1000 m3_ST_1_2_NC_1_1
DE M 2013 1000 m3 ST_1_2_NC_2_1 DE_M_2013_1000 m3_ST_1_2_NC_2_1
DE M 2013 1000 m3 ST_1_2_NC_2 DE_M_2013_1000 m3_ST_1_2_NC_2
DE M 2013 1000 m3 ST_1_2_NC_1_2 DE_M_2013_1000 m3_ST_1_2_NC_1_2
DE M 2013 1000 m3 ST_1_2_NC_2_2 DE_M_2013_1000 m3_ST_1_2_NC_2_2
DE M 2013 1000 m3 ST_1_2_NC_3 DE_M_2013_1000 m3_ST_1_2_NC_3
DE M 2013 1000 m3 ST_1_2_NC_1_3 DE_M_2013_1000 m3_ST_1_2_NC_1_3
DE M 2013 1000 m3 ST_1_2_NC_2_3 DE_M_2013_1000 m3_ST_1_2_NC_2_3
DE M 2013 1000 m3 ST_1_2_NC_4 DE_M_2013_1000 m3_ST_1_2_NC_4
DE M 2013 1000 m3 ST_1_2_NC_5 DE_M_2013_1000 m3_ST_1_2_NC_5
DE M 2013 1000 m3 ST_5_C DE_M_2013_1000 m3_ST_5_C
DE M 2013 1000 m3 ST_5_C_1 DE_M_2013_1000 m3_ST_5_C_1
DE M 2013 1000 m3 ST_5_C_2 DE_M_2013_1000 m3_ST_5_C_2
DE M 2013 1000 m3 ST_5_NC DE_M_2013_1000 m3_ST_5_NC
DE M 2013 1000 m3 ST_5_NC_1 DE_M_2013_1000 m3_ST_5_NC_1
DE M 2013 1000 m3 ST_5_NC_2 DE_M_2013_1000 m3_ST_5_NC_2
DE M 2013 1000 m3 ST_5_NC_3 DE_M_2013_1000 m3_ST_5_NC_3
DE M 2013 1000 m3 ST_5_NC_4 DE_M_2013_1000 m3_ST_5_NC_4
DE M 2013 1000 m3 ST_5_NC_5 DE_M_2013_1000 m3_ST_5_NC_5
DE M 2013 1000 m3 ST_5_NC_6 DE_M_2013_1000 m3_ST_5_NC_6
DE M 2013 1000 m3 ST_5_NC_7 DE_M_2013_1000 m3_ST_5_NC_7
DE M 2013 1000 NAC ST_1_2_C DE_M_2013_1000 NAC_ST_1_2_C
DE M 2013 1000 NAC ST_1_2_C_1 DE_M_2013_1000 NAC_ST_1_2_C_1
DE M 2013 1000 NAC ST_1_2_C_1_1 DE_M_2013_1000 NAC_ST_1_2_C_1_1
DE M 2013 1000 NAC ST_1_2_C_2_1 DE_M_2013_1000 NAC_ST_1_2_C_2_1
DE M 2013 1000 NAC ST_1_2_C_2 DE_M_2013_1000 NAC_ST_1_2_C_2
DE M 2013 1000 NAC ST_1_2_C_1_2 DE_M_2013_1000 NAC_ST_1_2_C_1_2
DE M 2013 1000 NAC ST_1_2_C_2_2 DE_M_2013_1000 NAC_ST_1_2_C_2_2
DE M 2013 1000 NAC ST_1_2_C_3 DE_M_2013_1000 NAC_ST_1_2_C_3
DE M 2013 1000 NAC ST_1_2_C_1_3 DE_M_2013_1000 NAC_ST_1_2_C_1_3
DE M 2013 1000 NAC ST_1_2_C_2_3 DE_M_2013_1000 NAC_ST_1_2_C_2_3
DE M 2013 1000 NAC ST_1_2_NC DE_M_2013_1000 NAC_ST_1_2_NC
DE M 2013 1000 NAC ST_1_2_NC_1 DE_M_2013_1000 NAC_ST_1_2_NC_1
DE M 2013 1000 NAC ST_1_2_NC_1_1 DE_M_2013_1000 NAC_ST_1_2_NC_1_1
DE M 2013 1000 NAC ST_1_2_NC_2_1 DE_M_2013_1000 NAC_ST_1_2_NC_2_1
DE M 2013 1000 NAC ST_1_2_NC_2 DE_M_2013_1000 NAC_ST_1_2_NC_2
DE M 2013 1000 NAC ST_1_2_NC_1_2 DE_M_2013_1000 NAC_ST_1_2_NC_1_2
DE M 2013 1000 NAC ST_1_2_NC_2_2 DE_M_2013_1000 NAC_ST_1_2_NC_2_2
DE M 2013 1000 NAC ST_1_2_NC_3 DE_M_2013_1000 NAC_ST_1_2_NC_3
DE M 2013 1000 NAC ST_1_2_NC_1_3 DE_M_2013_1000 NAC_ST_1_2_NC_1_3
DE M 2013 1000 NAC ST_1_2_NC_2_3 DE_M_2013_1000 NAC_ST_1_2_NC_2_3
DE M 2013 1000 NAC ST_1_2_NC_4 DE_M_2013_1000 NAC_ST_1_2_NC_4
DE M 2013 1000 NAC ST_1_2_NC_5 DE_M_2013_1000 NAC_ST_1_2_NC_5
DE M 2013 1000 NAC ST_5_C DE_M_2013_1000 NAC_ST_5_C
DE M 2013 1000 NAC ST_5_C_1 DE_M_2013_1000 NAC_ST_5_C_1
DE M 2013 1000 NAC ST_5_C_2 DE_M_2013_1000 NAC_ST_5_C_2
DE M 2013 1000 NAC ST_5_NC DE_M_2013_1000 NAC_ST_5_NC
DE M 2013 1000 NAC ST_5_NC_1 DE_M_2013_1000 NAC_ST_5_NC_1
DE M 2013 1000 NAC ST_5_NC_2 DE_M_2013_1000 NAC_ST_5_NC_2
DE M 2013 1000 NAC ST_5_NC_3 DE_M_2013_1000 NAC_ST_5_NC_3
DE M 2013 1000 NAC ST_5_NC_4 DE_M_2013_1000 NAC_ST_5_NC_4
DE M 2013 1000 NAC ST_5_NC_5 DE_M_2013_1000 NAC_ST_5_NC_5
DE M 2013 1000 NAC ST_5_NC_6 DE_M_2013_1000 NAC_ST_5_NC_6
DE M 2013 1000 NAC ST_5_NC_7 DE_M_2013_1000 NAC_ST_5_NC_7
DE X 2013 1000 m3 ST_1_2_C DE_X_2013_1000 m3_ST_1_2_C
DE X 2013 1000 m3 ST_1_2_C_1 DE_X_2013_1000 m3_ST_1_2_C_1
DE X 2013 1000 m3 ST_1_2_C_1_1 DE_X_2013_1000 m3_ST_1_2_C_1_1
DE X 2013 1000 m3 ST_1_2_C_2_1 DE_X_2013_1000 m3_ST_1_2_C_2_1
DE X 2013 1000 m3 ST_1_2_C_2 DE_X_2013_1000 m3_ST_1_2_C_2
DE X 2013 1000 m3 ST_1_2_C_1_2 DE_X_2013_1000 m3_ST_1_2_C_1_2
DE X 2013 1000 m3 ST_1_2_C_2_2 DE_X_2013_1000 m3_ST_1_2_C_2_2
DE X 2013 1000 m3 ST_1_2_C_3 DE_X_2013_1000 m3_ST_1_2_C_3
DE X 2013 1000 m3 ST_1_2_C_1_3 DE_X_2013_1000 m3_ST_1_2_C_1_3
DE X 2013 1000 m3 ST_1_2_C_2_3 DE_X_2013_1000 m3_ST_1_2_C_2_3
DE X 2013 1000 m3 ST_1_2_NC DE_X_2013_1000 m3_ST_1_2_NC
DE X 2013 1000 m3 ST_1_2_NC_1 DE_X_2013_1000 m3_ST_1_2_NC_1
DE X 2013 1000 m3 ST_1_2_NC_1_1 DE_X_2013_1000 m3_ST_1_2_NC_1_1
DE X 2013 1000 m3 ST_1_2_NC_2_1 DE_X_2013_1000 m3_ST_1_2_NC_2_1
DE X 2013 1000 m3 ST_1_2_NC_2 DE_X_2013_1000 m3_ST_1_2_NC_2
DE X 2013 1000 m3 ST_1_2_NC_1_2 DE_X_2013_1000 m3_ST_1_2_NC_1_2
DE X 2013 1000 m3 ST_1_2_NC_2_2 DE_X_2013_1000 m3_ST_1_2_NC_2_2
DE X 2013 1000 m3 ST_1_2_NC_3 DE_X_2013_1000 m3_ST_1_2_NC_3
DE X 2013 1000 m3 ST_1_2_NC_1_3 DE_X_2013_1000 m3_ST_1_2_NC_1_3
DE X 2013 1000 m3 ST_1_2_NC_2_3 DE_X_2013_1000 m3_ST_1_2_NC_2_3
DE X 2013 1000 m3 ST_1_2_NC_4 DE_X_2013_1000 m3_ST_1_2_NC_4
DE X 2013 1000 m3 ST_1_2_NC_5 DE_X_2013_1000 m3_ST_1_2_NC_5
DE X 2013 1000 m3 ST_5_C DE_X_2013_1000 m3_ST_5_C
DE X 2013 1000 m3 ST_5_C_1 DE_X_2013_1000 m3_ST_5_C_1
DE X 2013 1000 m3 ST_5_C_2 DE_X_2013_1000 m3_ST_5_C_2
DE X 2013 1000 m3 ST_5_NC DE_X_2013_1000 m3_ST_5_NC
DE X 2013 1000 m3 ST_5_NC_1 DE_X_2013_1000 m3_ST_5_NC_1
DE X 2013 1000 m3 ST_5_NC_2 DE_X_2013_1000 m3_ST_5_NC_2
DE X 2013 1000 m3 ST_5_NC_3 DE_X_2013_1000 m3_ST_5_NC_3
DE X 2013 1000 m3 ST_5_NC_4 DE_X_2013_1000 m3_ST_5_NC_4
DE X 2013 1000 m3 ST_5_NC_5 DE_X_2013_1000 m3_ST_5_NC_5
DE X 2013 1000 m3 ST_5_NC_6 DE_X_2013_1000 m3_ST_5_NC_6
DE X 2013 1000 m3 ST_5_NC_7 DE_X_2013_1000 m3_ST_5_NC_7
DE X 2013 1000 NAC ST_1_2_C DE_X_2013_1000 NAC_ST_1_2_C
DE X 2013 1000 NAC ST_1_2_C_1 DE_X_2013_1000 NAC_ST_1_2_C_1
DE X 2013 1000 NAC ST_1_2_C_1_1 DE_X_2013_1000 NAC_ST_1_2_C_1_1
DE X 2013 1000 NAC ST_1_2_C_2_1 DE_X_2013_1000 NAC_ST_1_2_C_2_1
DE X 2013 1000 NAC ST_1_2_C_2 DE_X_2013_1000 NAC_ST_1_2_C_2
DE X 2013 1000 NAC ST_1_2_C_1_2 DE_X_2013_1000 NAC_ST_1_2_C_1_2
DE X 2013 1000 NAC ST_1_2_C_2_2 DE_X_2013_1000 NAC_ST_1_2_C_2_2
DE X 2013 1000 NAC ST_1_2_C_3 DE_X_2013_1000 NAC_ST_1_2_C_3
DE X 2013 1000 NAC ST_1_2_C_1_3 DE_X_2013_1000 NAC_ST_1_2_C_1_3
DE X 2013 1000 NAC ST_1_2_C_2_3 DE_X_2013_1000 NAC_ST_1_2_C_2_3
DE X 2013 1000 NAC ST_1_2_NC DE_X_2013_1000 NAC_ST_1_2_NC
DE X 2013 1000 NAC ST_1_2_NC_1 DE_X_2013_1000 NAC_ST_1_2_NC_1
DE X 2013 1000 NAC ST_1_2_NC_1_1 DE_X_2013_1000 NAC_ST_1_2_NC_1_1
DE X 2013 1000 NAC ST_1_2_NC_2_1 DE_X_2013_1000 NAC_ST_1_2_NC_2_1
DE X 2013 1000 NAC ST_1_2_NC_2 DE_X_2013_1000 NAC_ST_1_2_NC_2
DE X 2013 1000 NAC ST_1_2_NC_1_2 DE_X_2013_1000 NAC_ST_1_2_NC_1_2
DE X 2013 1000 NAC ST_1_2_NC_2_2 DE_X_2013_1000 NAC_ST_1_2_NC_2_2
DE X 2013 1000 NAC ST_1_2_NC_3 DE_X_2013_1000 NAC_ST_1_2_NC_3
DE X 2013 1000 NAC ST_1_2_NC_1_3 DE_X_2013_1000 NAC_ST_1_2_NC_1_3
DE X 2013 1000 NAC ST_1_2_NC_2_3 DE_X_2013_1000 NAC_ST_1_2_NC_2_3
DE X 2013 1000 NAC ST_1_2_NC_4 DE_X_2013_1000 NAC_ST_1_2_NC_4
DE X 2013 1000 NAC ST_1_2_NC_5 DE_X_2013_1000 NAC_ST_1_2_NC_5
DE X 2013 1000 NAC ST_5_C DE_X_2013_1000 NAC_ST_5_C
DE X 2013 1000 NAC ST_5_C_1 DE_X_2013_1000 NAC_ST_5_C_1
DE X 2013 1000 NAC ST_5_C_2 DE_X_2013_1000 NAC_ST_5_C_2
DE X 2013 1000 NAC ST_5_NC DE_X_2013_1000 NAC_ST_5_NC
DE X 2013 1000 NAC ST_5_NC_1 DE_X_2013_1000 NAC_ST_5_NC_1
DE X 2013 1000 NAC ST_5_NC_2 DE_X_2013_1000 NAC_ST_5_NC_2
DE X 2013 1000 NAC ST_5_NC_3 DE_X_2013_1000 NAC_ST_5_NC_3
DE X 2013 1000 NAC ST_5_NC_4 DE_X_2013_1000 NAC_ST_5_NC_4
DE X 2013 1000 NAC ST_5_NC_5 DE_X_2013_1000 NAC_ST_5_NC_5
DE X 2013 1000 NAC ST_5_NC_6 DE_X_2013_1000 NAC_ST_5_NC_6
DE X 2013 1000 NAC ST_5_NC_7 DE_X_2013_1000 NAC_ST_5_NC_7
DE EX_M 2013 1000 m3 1 DE_EX_M_2013_1000 m3_1
DE EX_M 2013 1000 m3 1_1 DE_EX_M_2013_1000 m3_1_1
DE EX_M 2013 1000 m3 1_2 DE_EX_M_2013_1000 m3_1_2
DE EX_M 2013 1000 m3 1_2_C DE_EX_M_2013_1000 m3_1_2_C
DE EX_M 2013 1000 m3 1_2_NC DE_EX_M_2013_1000 m3_1_2_NC
DE EX_M 2013 1000 m3 1_2_NC_T DE_EX_M_2013_1000 m3_1_2_NC_T
DE EX_M 2013 1000 mt 2 DE_EX_M_2013_1000 mt_2
DE EX_M 2013 1000 m3 3 DE_EX_M_2013_1000 m3_3
DE EX_M 2013 1000 m3 3_1 DE_EX_M_2013_1000 m3_3_1
DE EX_M 2013 1000 m3 3_2 DE_EX_M_2013_1000 m3_3_2
DE EX_M 2013 1000 mt 4 DE_EX_M_2013_1000 mt_4
DE EX_M 2013 1000 mt 4_1 DE_EX_M_2013_1000 mt_4_1
DE EX_M 2013 1000 mt 4_2 DE_EX_M_2013_1000 mt_4_2
DE EX_M 2013 1000 m3 5 DE_EX_M_2013_1000 m3_5
DE EX_M 2013 1000 m3 5_C DE_EX_M_2013_1000 m3_5_C
DE EX_M 2013 1000 m3 5_NC DE_EX_M_2013_1000 m3_5_NC
DE EX_M 2013 1000 m3 5_NC_T DE_EX_M_2013_1000 m3_5_NC_T
DE EX_M 2013 1000 m3 6 DE_EX_M_2013_1000 m3_6
DE EX_M 2013 1000 m3 6_1 DE_EX_M_2013_1000 m3_6_1
DE EX_M 2013 1000 m3 6_1_C DE_EX_M_2013_1000 m3_6_1_C
DE EX_M 2013 1000 m3 6_1_NC DE_EX_M_2013_1000 m3_6_1_NC
DE EX_M 2013 1000 m3 6_1_NC_T DE_EX_M_2013_1000 m3_6_1_NC_T
DE EX_M 2013 1000 m3 6_2 DE_EX_M_2013_1000 m3_6_2
DE EX_M 2013 1000 m3 6_2_C DE_EX_M_2013_1000 m3_6_2_C
DE EX_M 2013 1000 m3 6_2_NC DE_EX_M_2013_1000 m3_6_2_NC
DE EX_M 2013 1000 m3 6_2_NC_T DE_EX_M_2013_1000 m3_6_2_NC_T
DE EX_M 2013 1000 m3 6_3 DE_EX_M_2013_1000 m3_6_3
DE EX_M 2013 1000 m3 6_3_1 DE_EX_M_2013_1000 m3_6_3_1
DE EX_M 2013 1000 m3 6_4 DE_EX_M_2013_1000 m3_6_4
DE EX_M 2013 1000 m3 6_4_1 DE_EX_M_2013_1000 m3_6_4_1
DE EX_M 2013 1000 m3 6_4_2 DE_EX_M_2013_1000 m3_6_4_2
DE EX_M 2013 1000 m3 6_4_3 DE_EX_M_2013_1000 m3_6_4_3
DE EX_M 2013 1000 mt 7 DE_EX_M_2013_1000 mt_7
DE EX_M 2013 1000 mt 7_1 DE_EX_M_2013_1000 mt_7_1
DE EX_M 2013 1000 mt 7_2 DE_EX_M_2013_1000 mt_7_2
DE EX_M 2013 1000 mt 7_3 DE_EX_M_2013_1000 mt_7_3
DE EX_M 2013 1000 mt 7_3_1 DE_EX_M_2013_1000 mt_7_3_1
DE EX_M 2013 1000 mt 7_3_2 DE_EX_M_2013_1000 mt_7_3_2
DE EX_M 2013 1000 mt 7_3_3 DE_EX_M_2013_1000 mt_7_3_3
DE EX_M 2013 1000 mt 7_3_4 DE_EX_M_2013_1000 mt_7_3_4
DE EX_M 2013 1000 mt 7_4 DE_EX_M_2013_1000 mt_7_4
DE EX_M 2013 1000 mt 8 DE_EX_M_2013_1000 mt_8
DE EX_M 2013 1000 mt 8_1 DE_EX_M_2013_1000 mt_8_1
DE EX_M 2013 1000 mt 8_2 DE_EX_M_2013_1000 mt_8_2
DE EX_M 2013 1000 mt 9 DE_EX_M_2013_1000 mt_9
DE EX_M 2013 1000 mt 10 DE_EX_M_2013_1000 mt_10
DE EX_M 2013 1000 mt 10_1 DE_EX_M_2013_1000 mt_10_1
DE EX_M 2013 1000 mt 10_1_1 DE_EX_M_2013_1000 mt_10_1_1
DE EX_M 2013 1000 mt 10_1_2 DE_EX_M_2013_1000 mt_10_1_2
DE EX_M 2013 1000 mt 10_1_3 DE_EX_M_2013_1000 mt_10_1_3
DE EX_M 2013 1000 mt 10_1_4 DE_EX_M_2013_1000 mt_10_1_4
DE EX_M 2013 1000 mt 10_2 DE_EX_M_2013_1000 mt_10_2
DE EX_M 2013 1000 mt 10_3 DE_EX_M_2013_1000 mt_10_3
DE EX_M 2013 1000 mt 10_3_1 DE_EX_M_2013_1000 mt_10_3_1
DE EX_M 2013 1000 mt 10_3_2 DE_EX_M_2013_1000 mt_10_3_2
DE EX_M 2013 1000 mt 10_3_3 DE_EX_M_2013_1000 mt_10_3_3
DE EX_M 2013 1000 mt 10_3_4 DE_EX_M_2013_1000 mt_10_3_4
DE EX_M 2013 1000 mt 10_4 DE_EX_M_2013_1000 mt_10_4
DE EX_M 2013 1000 NAC 1 DE_EX_M_2013_1000 NAC_1
DE EX_M 2013 1000 NAC 1_1 DE_EX_M_2013_1000 NAC_1_1
DE EX_M 2013 1000 NAC 1_2 DE_EX_M_2013_1000 NAC_1_2
DE EX_M 2013 1000 NAC 1_2_C DE_EX_M_2013_1000 NAC_1_2_C
DE EX_M 2013 1000 NAC 1_2_NC DE_EX_M_2013_1000 NAC_1_2_NC
DE EX_M 2013 1000 NAC 1_2_NC_T DE_EX_M_2013_1000 NAC_1_2_NC_T
DE EX_M 2013 1000 NAC 2 DE_EX_M_2013_1000 NAC_2
DE EX_M 2013 1000 NAC 3 DE_EX_M_2013_1000 NAC_3
DE EX_M 2013 1000 NAC 3_1 DE_EX_M_2013_1000 NAC_3_1
DE EX_M 2013 1000 NAC 3_2 DE_EX_M_2013_1000 NAC_3_2
DE EX_M 2013 1000 NAC 4 DE_EX_M_2013_1000 NAC_4
DE EX_M 2013 1000 NAC 4_1 DE_EX_M_2013_1000 NAC_4_1
DE EX_M 2013 1000 NAC 4_2 DE_EX_M_2013_1000 NAC_4_2
DE EX_M 2013 1000 NAC 5 DE_EX_M_2013_1000 NAC_5
DE EX_M 2013 1000 NAC 5_C DE_EX_M_2013_1000 NAC_5_C
DE EX_M 2013 1000 NAC 5_NC DE_EX_M_2013_1000 NAC_5_NC
DE EX_M 2013 1000 NAC 5_NC_T DE_EX_M_2013_1000 NAC_5_NC_T
DE EX_M 2013 1000 NAC 6 DE_EX_M_2013_1000 NAC_6
DE EX_M 2013 1000 NAC 6_1 DE_EX_M_2013_1000 NAC_6_1
DE EX_M 2013 1000 NAC 6_1_C DE_EX_M_2013_1000 NAC_6_1_C
DE EX_M 2013 1000 NAC 6_1_NC DE_EX_M_2013_1000 NAC_6_1_NC
DE EX_M 2013 1000 NAC 6_1_NC_T DE_EX_M_2013_1000 NAC_6_1_NC_T
DE EX_M 2013 1000 NAC 6_2 DE_EX_M_2013_1000 NAC_6_2
DE EX_M 2013 1000 NAC 6_2_C DE_EX_M_2013_1000 NAC_6_2_C
DE EX_M 2013 1000 NAC 6_2_NC DE_EX_M_2013_1000 NAC_6_2_NC
DE EX_M 2013 1000 NAC 6_2_NC_T DE_EX_M_2013_1000 NAC_6_2_NC_T
DE EX_M 2013 1000 NAC 6_3 DE_EX_M_2013_1000 NAC_6_3
DE EX_M 2013 1000 NAC 6_3_1 DE_EX_M_2013_1000 NAC_6_3_1
DE EX_M 2013 1000 NAC 6_4 DE_EX_M_2013_1000 NAC_6_4
DE EX_M 2013 1000 NAC 6_4_1 DE_EX_M_2013_1000 NAC_6_4_1
DE EX_M 2013 1000 NAC 6_4_2 DE_EX_M_2013_1000 NAC_6_4_2
DE EX_M 2013 1000 NAC 6_4_3 DE_EX_M_2013_1000 NAC_6_4_3
DE EX_M 2013 1000 NAC 7 DE_EX_M_2013_1000 NAC_7
DE EX_M 2013 1000 NAC 7_1 DE_EX_M_2013_1000 NAC_7_1
DE EX_M 2013 1000 NAC 7_2 DE_EX_M_2013_1000 NAC_7_2
DE EX_M 2013 1000 NAC 7_3 DE_EX_M_2013_1000 NAC_7_3
DE EX_M 2013 1000 NAC 7_3_1 DE_EX_M_2013_1000 NAC_7_3_1
DE EX_M 2013 1000 NAC 7_3_2 DE_EX_M_2013_1000 NAC_7_3_2
DE EX_M 2013 1000 NAC 7_3_3 DE_EX_M_2013_1000 NAC_7_3_3
DE EX_M 2013 1000 NAC 7_3_4 DE_EX_M_2013_1000 NAC_7_3_4
DE EX_M 2013 1000 NAC 7_4 DE_EX_M_2013_1000 NAC_7_4
DE EX_M 2013 1000 NAC 8 DE_EX_M_2013_1000 NAC_8
DE EX_M 2013 1000 NAC 8_1 DE_EX_M_2013_1000 NAC_8_1
DE EX_M 2013 1000 NAC 8_2 DE_EX_M_2013_1000 NAC_8_2
DE EX_M 2013 1000 NAC 9 DE_EX_M_2013_1000 NAC_9
DE EX_M 2013 1000 NAC 10 DE_EX_M_2013_1000 NAC_10
DE EX_M 2013 1000 NAC 10_1 DE_EX_M_2013_1000 NAC_10_1
DE EX_M 2013 1000 NAC 10_1_1 DE_EX_M_2013_1000 NAC_10_1_1
DE EX_M 2013 1000 NAC 10_1_2 DE_EX_M_2013_1000 NAC_10_1_2
DE EX_M 2013 1000 NAC 10_1_3 DE_EX_M_2013_1000 NAC_10_1_3
DE EX_M 2013 1000 NAC 10_1_4 DE_EX_M_2013_1000 NAC_10_1_4
DE EX_M 2013 1000 NAC 10_2 DE_EX_M_2013_1000 NAC_10_2
DE EX_M 2013 1000 NAC 10_3 DE_EX_M_2013_1000 NAC_10_3
DE EX_M 2013 1000 NAC 10_3_1 DE_EX_M_2013_1000 NAC_10_3_1
DE EX_M 2013 1000 NAC 10_3_2 DE_EX_M_2013_1000 NAC_10_3_2
DE EX_M 2013 1000 NAC 10_3_3 DE_EX_M_2013_1000 NAC_10_3_3
DE EX_M 2013 1000 NAC 10_3_4 DE_EX_M_2013_1000 NAC_10_3_4
DE EX_M 2013 1000 NAC 10_4 DE_EX_M_2013_1000 NAC_10_4
DE EX_X 2013 1000 m3 1 DE_EX_X_2013_1000 m3_1
DE EX_X 2013 1000 m3 1_1 DE_EX_X_2013_1000 m3_1_1
DE EX_X 2013 1000 m3 1_2 DE_EX_X_2013_1000 m3_1_2
DE EX_X 2013 1000 m3 1_2_C DE_EX_X_2013_1000 m3_1_2_C
DE EX_X 2013 1000 m3 1_2_NC DE_EX_X_2013_1000 m3_1_2_NC
DE EX_X 2013 1000 m3 1_2_NC_T DE_EX_X_2013_1000 m3_1_2_NC_T
DE EX_X 2013 1000 mt 2 DE_EX_X_2013_1000 mt_2
DE EX_X 2013 1000 m3 3 DE_EX_X_2013_1000 m3_3
DE EX_X 2013 1000 m3 3_1 DE_EX_X_2013_1000 m3_3_1
DE EX_X 2013 1000 m3 3_2 DE_EX_X_2013_1000 m3_3_2
DE EX_X 2013 1000 mt 4 DE_EX_X_2013_1000 mt_4
DE EX_X 2013 1000 mt 4_1 DE_EX_X_2013_1000 mt_4_1
DE EX_X 2013 1000 mt 4_2 DE_EX_X_2013_1000 mt_4_2
DE EX_X 2013 1000 m3 5 DE_EX_X_2013_1000 m3_5
DE EX_X 2013 1000 m3 5_C DE_EX_X_2013_1000 m3_5_C
DE EX_X 2013 1000 m3 5_NC DE_EX_X_2013_1000 m3_5_NC
DE EX_X 2013 1000 m3 5_NC_T DE_EX_X_2013_1000 m3_5_NC_T
DE EX_X 2013 1000 m3 6 DE_EX_X_2013_1000 m3_6
DE EX_X 2013 1000 m3 6_1 DE_EX_X_2013_1000 m3_6_1
DE EX_X 2013 1000 m3 6_1_C DE_EX_X_2013_1000 m3_6_1_C
DE EX_X 2013 1000 m3 6_1_NC DE_EX_X_2013_1000 m3_6_1_NC
DE EX_X 2013 1000 m3 6_1_NC_T DE_EX_X_2013_1000 m3_6_1_NC_T
DE EX_X 2013 1000 m3 6_2 DE_EX_X_2013_1000 m3_6_2
DE EX_X 2013 1000 m3 6_2_C DE_EX_X_2013_1000 m3_6_2_C
DE EX_X 2013 1000 m3 6_2_NC DE_EX_X_2013_1000 m3_6_2_NC
DE EX_X 2013 1000 m3 6_2_NC_T DE_EX_X_2013_1000 m3_6_2_NC_T
DE EX_X 2013 1000 m3 6_3 DE_EX_X_2013_1000 m3_6_3
DE EX_X 2013 1000 m3 6_3_1 DE_EX_X_2013_1000 m3_6_3_1
DE EX_X 2013 1000 m3 6_4 DE_EX_X_2013_1000 m3_6_4
DE EX_X 2013 1000 m3 6_4_1 DE_EX_X_2013_1000 m3_6_4_1
DE EX_X 2013 1000 m3 6_4_2 DE_EX_X_2013_1000 m3_6_4_2
DE EX_X 2013 1000 m3 6_4_3 DE_EX_X_2013_1000 m3_6_4_3
DE EX_X 2013 1000 mt 7 DE_EX_X_2013_1000 mt_7
DE EX_X 2013 1000 mt 7_1 DE_EX_X_2013_1000 mt_7_1
DE EX_X 2013 1000 mt 7_2 DE_EX_X_2013_1000 mt_7_2
DE EX_X 2013 1000 mt 7_3 DE_EX_X_2013_1000 mt_7_3
DE EX_X 2013 1000 mt 7_3_1 DE_EX_X_2013_1000 mt_7_3_1
DE EX_X 2013 1000 mt 7_3_2 DE_EX_X_2013_1000 mt_7_3_2
DE EX_X 2013 1000 mt 7_3_3 DE_EX_X_2013_1000 mt_7_3_3
DE EX_X 2013 1000 mt 7_3_4 DE_EX_X_2013_1000 mt_7_3_4
DE EX_X 2013 1000 mt 7_4 DE_EX_X_2013_1000 mt_7_4
DE EX_X 2013 1000 mt 8 DE_EX_X_2013_1000 mt_8
DE EX_X 2013 1000 mt 8_1 DE_EX_X_2013_1000 mt_8_1
DE EX_X 2013 1000 mt 8_2 DE_EX_X_2013_1000 mt_8_2
DE EX_X 2013 1000 mt 9 DE_EX_X_2013_1000 mt_9
DE EX_X 2013 1000 mt 10 DE_EX_X_2013_1000 mt_10
DE EX_X 2013 1000 mt 10_1 DE_EX_X_2013_1000 mt_10_1
DE EX_X 2013 1000 mt 10_1_1 DE_EX_X_2013_1000 mt_10_1_1
DE EX_X 2013 1000 mt 10_1_2 DE_EX_X_2013_1000 mt_10_1_2
DE EX_X 2013 1000 mt 10_1_3 DE_EX_X_2013_1000 mt_10_1_3
DE EX_X 2013 1000 mt 10_1_4 DE_EX_X_2013_1000 mt_10_1_4
DE EX_X 2013 1000 mt 10_2 DE_EX_X_2013_1000 mt_10_2
DE EX_X 2013 1000 mt 10_3 DE_EX_X_2013_1000 mt_10_3
DE EX_X 2013 1000 mt 10_3_1 DE_EX_X_2013_1000 mt_10_3_1
DE EX_X 2013 1000 mt 10_3_2 DE_EX_X_2013_1000 mt_10_3_2
DE EX_X 2013 1000 mt 10_3_3 DE_EX_X_2013_1000 mt_10_3_3
DE EX_X 2013 1000 mt 10_3_4 DE_EX_X_2013_1000 mt_10_3_4
DE EX_X 2013 1000 mt 10_4 DE_EX_X_2013_1000 mt_10_4
DE EX_X 2013 1000 NAC 1 DE_EX_X_2013_1000 NAC_1
DE EX_X 2013 1000 NAC 1_1 DE_EX_X_2013_1000 NAC_1_1
DE EX_X 2013 1000 NAC 1_2 DE_EX_X_2013_1000 NAC_1_2
DE EX_X 2013 1000 NAC 1_2_C DE_EX_X_2013_1000 NAC_1_2_C
DE EX_X 2013 1000 NAC 1_2_NC DE_EX_X_2013_1000 NAC_1_2_NC
DE EX_X 2013 1000 NAC 1_2_NC_T DE_EX_X_2013_1000 NAC_1_2_NC_T
DE EX_X 2013 1000 NAC 2 DE_EX_X_2013_1000 NAC_2
DE EX_X 2013 1000 NAC 3 DE_EX_X_2013_1000 NAC_3
DE EX_X 2013 1000 NAC 3_1 DE_EX_X_2013_1000 NAC_3_1
DE EX_X 2013 1000 NAC 3_2 DE_EX_X_2013_1000 NAC_3_2
DE EX_X 2013 1000 NAC 4 DE_EX_X_2013_1000 NAC_4
DE EX_X 2013 1000 NAC 4_1 DE_EX_X_2013_1000 NAC_4_1
DE EX_X 2013 1000 NAC 4_2 DE_EX_X_2013_1000 NAC_4_2
DE EX_X 2013 1000 NAC 5 DE_EX_X_2013_1000 NAC_5
DE EX_X 2013 1000 NAC 5_C DE_EX_X_2013_1000 NAC_5_C
DE EX_X 2013 1000 NAC 5_NC DE_EX_X_2013_1000 NAC_5_NC
DE EX_X 2013 1000 NAC 5_NC_T DE_EX_X_2013_1000 NAC_5_NC_T
DE EX_X 2013 1000 NAC 6 DE_EX_X_2013_1000 NAC_6
DE EX_X 2013 1000 NAC 6_1 DE_EX_X_2013_1000 NAC_6_1
DE EX_X 2013 1000 NAC 6_1_C DE_EX_X_2013_1000 NAC_6_1_C
DE EX_X 2013 1000 NAC 6_1_NC DE_EX_X_2013_1000 NAC_6_1_NC
DE EX_X 2013 1000 NAC 6_1_NC_T DE_EX_X_2013_1000 NAC_6_1_NC_T
DE EX_X 2013 1000 NAC 6_2 DE_EX_X_2013_1000 NAC_6_2
DE EX_X 2013 1000 NAC 6_2_C DE_EX_X_2013_1000 NAC_6_2_C
DE EX_X 2013 1000 NAC 6_2_NC DE_EX_X_2013_1000 NAC_6_2_NC
DE EX_X 2013 1000 NAC 6_2_NC_T DE_EX_X_2013_1000 NAC_6_2_NC_T
DE EX_X 2013 1000 NAC 6_3 DE_EX_X_2013_1000 NAC_6_3
DE EX_X 2013 1000 NAC 6_3_1 DE_EX_X_2013_1000 NAC_6_3_1
DE EX_X 2013 1000 NAC 6_4 DE_EX_X_2013_1000 NAC_6_4
DE EX_X 2013 1000 NAC 6_4_1 DE_EX_X_2013_1000 NAC_6_4_1
DE EX_X 2013 1000 NAC 6_4_2 DE_EX_X_2013_1000 NAC_6_4_2
DE EX_X 2013 1000 NAC 6_4_3 DE_EX_X_2013_1000 NAC_6_4_3
DE EX_X 2013 1000 NAC 7 DE_EX_X_2013_1000 NAC_7
DE EX_X 2013 1000 NAC 7_1 DE_EX_X_2013_1000 NAC_7_1
DE EX_X 2013 1000 NAC 7_2 DE_EX_X_2013_1000 NAC_7_2
DE EX_X 2013 1000 NAC 7_3 DE_EX_X_2013_1000 NAC_7_3
DE EX_X 2013 1000 NAC 7_3_1 DE_EX_X_2013_1000 NAC_7_3_1
DE EX_X 2013 1000 NAC 7_3_2 DE_EX_X_2013_1000 NAC_7_3_2
DE EX_X 2013 1000 NAC 7_3_3 DE_EX_X_2013_1000 NAC_7_3_3
DE EX_X 2013 1000 NAC 7_3_4 DE_EX_X_2013_1000 NAC_7_3_4
DE EX_X 2013 1000 NAC 7_4 DE_EX_X_2013_1000 NAC_7_4
DE EX_X 2013 1000 NAC 8 DE_EX_X_2013_1000 NAC_8
DE EX_X 2013 1000 NAC 8_1 DE_EX_X_2013_1000 NAC_8_1
DE EX_X 2013 1000 NAC 8_2 DE_EX_X_2013_1000 NAC_8_2
DE EX_X 2013 1000 NAC 9 DE_EX_X_2013_1000 NAC_9
DE EX_X 2013 1000 NAC 10 DE_EX_X_2013_1000 NAC_10
DE EX_X 2013 1000 NAC 10_1 DE_EX_X_2013_1000 NAC_10_1
DE EX_X 2013 1000 NAC 10_1_1 DE_EX_X_2013_1000 NAC_10_1_1
DE EX_X 2013 1000 NAC 10_1_2 DE_EX_X_2013_1000 NAC_10_1_2
DE EX_X 2013 1000 NAC 10_1_3 DE_EX_X_2013_1000 NAC_10_1_3
DE EX_X 2013 1000 NAC 10_1_4 DE_EX_X_2013_1000 NAC_10_1_4
DE EX_X 2013 1000 NAC 10_2 DE_EX_X_2013_1000 NAC_10_2
DE EX_X 2013 1000 NAC 10_3 DE_EX_X_2013_1000 NAC_10_3
DE EX_X 2013 1000 NAC 10_3_1 DE_EX_X_2013_1000 NAC_10_3_1
DE EX_X 2013 1000 NAC 10_3_2 DE_EX_X_2013_1000 NAC_10_3_2
DE EX_X 2013 1000 NAC 10_3_3 DE_EX_X_2013_1000 NAC_10_3_3
DE EX_X 2013 1000 NAC 10_3_4 DE_EX_X_2013_1000 NAC_10_3_4
DE EX_X 2013 1000 NAC 10_4 DE_EX_X_2013_1000 NAC_10_4
DE P 2013 1000 m3 EU2_1 DE_P_2013_1000 m3_EU2_1
DE P 2013 1000 m3 EU2_1_C DE_P_2013_1000 m3_EU2_1_C
DE P 2013 1000 m3 EU2_1_NC DE_P_2013_1000 m3_EU2_1_NC
DE P 2013 1000 m3 EU2_1_1 DE_P_2013_1000 m3_EU2_1_1
DE P 2013 1000 m3 EU2_1_1_C DE_P_2013_1000 m3_EU2_1_1_C
DE P 2013 1000 m3 EU2_1_1_NC DE_P_2013_1000 m3_EU2_1_1_NC
DE P 2013 1000 m3 EU2_1_2 DE_P_2013_1000 m3_EU2_1_2
DE P 2013 1000 m3 EU2_1_2_C DE_P_2013_1000 m3_EU2_1_2_C
DE P 2013 1000 m3 EU2_1_2_NC DE_P_2013_1000 m3_EU2_1_2_NC
DE P 2013 1000 m3 EU2_1_3 DE_P_2013_1000 m3_EU2_1_3
DE P 2013 1000 m3 EU2_1_3_C DE_P_2013_1000 m3_EU2_1_3_C
DE P 2013 1000 m3 EU2_1_3_NC DE_P_2013_1000 m3_EU2_1_3_NC
DE P.OB 2013 1000 m3 1 DE_P.OB_2013_1000 m3_1
DE P.OB 2013 1000 m3 1_C DE_P.OB_2013_1000 m3_1_C
DE P.OB 2013 1000 m3 1_NC DE_P.OB_2013_1000 m3_1_NC
DE P.OB 2013 1000 m3 1_1 DE_P.OB_2013_1000 m3_1_1
DE P.OB 2013 1000 m3 1_1_C DE_P.OB_2013_1000 m3_1_1_C
DE P.OB 2013 1000 m3 1_1_NC DE_P.OB_2013_1000 m3_1_1_NC
DE P.OB 2013 1000 m3 1_2 DE_P.OB_2013_1000 m3_1_2
DE P.OB 2013 1000 m3 1_2_C DE_P.OB_2013_1000 m3_1_2_C
DE P.OB 2013 1000 m3 1_2_NC DE_P.OB_2013_1000 m3_1_2_NC
DE P.OB 2013 1000 m3 1_2_1 DE_P.OB_2013_1000 m3_1_2_1
DE P.OB 2013 1000 m3 1_2_1_C DE_P.OB_2013_1000 m3_1_2_1_C
DE P.OB 2013 1000 m3 1_2_1_NC DE_P.OB_2013_1000 m3_1_2_1_NC
DE P.OB 2013 1000 m3 1_2_2 DE_P.OB_2013_1000 m3_1_2_2
DE P.OB 2013 1000 m3 1_2_2_C DE_P.OB_2013_1000 m3_1_2_2_C
DE P.OB 2013 1000 m3 1_2_2_NC DE_P.OB_2013_1000 m3_1_2_2_NC
DE P.OB 2013 1000 m3 1_2_3 DE_P.OB_2013_1000 m3_1_2_3
DE P.OB 2013 1000 m3 1_2_3_C DE_P.OB_2013_1000 m3_1_2_3_C
DE P.OB 2013 1000 m3 1_2_3_NC DE_P.OB_2013_1000 m3_1_2_3_NC
DE P 2012 1000 m3 1 DE_P_2012_1000 m3_1
DE P 2012 1000 m3 1_C DE_P_2012_1000 m3_1_C
DE P 2012 1000 m3 1_NC DE_P_2012_1000 m3_1_NC
DE P 2012 1000 m3 1_1 DE_P_2012_1000 m3_1_1
DE P 2012 1000 m3 1_1_C DE_P_2012_1000 m3_1_1_C
DE P 2012 1000 m3 1_1_NC DE_P_2012_1000 m3_1_1_NC
DE P 2012 1000 m3 1_2 DE_P_2012_1000 m3_1_2
DE P 2012 1000 m3 1_2_C DE_P_2012_1000 m3_1_2_C
DE P 2012 1000 m3 1_2_NC DE_P_2012_1000 m3_1_2_NC
DE P 2012 1000 m3 1_2_1 DE_P_2012_1000 m3_1_2_1
DE P 2012 1000 m3 1_2_1_C DE_P_2012_1000 m3_1_2_1_C
DE P 2012 1000 m3 1_2_1_NC DE_P_2012_1000 m3_1_2_1_NC
DE P 2012 1000 m3 1_2_2 DE_P_2012_1000 m3_1_2_2
DE P 2012 1000 m3 1_2_2_C DE_P_2012_1000 m3_1_2_2_C
DE P 2012 1000 m3 1_2_2_NC DE_P_2012_1000 m3_1_2_2_NC
DE P 2012 1000 m3 1_2_3 DE_P_2012_1000 m3_1_2_3
DE P 2012 1000 m3 1_2_3_C DE_P_2012_1000 m3_1_2_3_C
DE P 2012 1000 m3 1_2_3_NC DE_P_2012_1000 m3_1_2_3_NC
DE P 2012 1000 mt 2 DE_P_2012_1000 mt_2
DE P 2012 1000 m3 3 DE_P_2012_1000 m3_3
DE P 2012 1000 m3 3_1 DE_P_2012_1000 m3_3_1
DE P 2012 1000 m3 3_2 DE_P_2012_1000 m3_3_2
DE P 2012 1000 mt 4 DE_P_2012_1000 mt_4
DE P 2012 1000 mt 4_1 DE_P_2012_1000 mt_4_1
DE P 2012 1000 mt 4_2 DE_P_2012_1000 mt_4_2
DE P 2012 1000 m3 5 DE_P_2012_1000 m3_5
DE P 2012 1000 m3 5_C DE_P_2012_1000 m3_5_C
DE P 2012 1000 m3 5_NC DE_P_2012_1000 m3_5_NC
DE P 2012 1000 m3 5_NC_T DE_P_2012_1000 m3_5_NC_T
DE P 2012 1000 m3 6 DE_P_2012_1000 m3_6
DE P 2012 1000 m3 6_1 DE_P_2012_1000 m3_6_1
DE P 2012 1000 m3 6_1_C DE_P_2012_1000 m3_6_1_C
DE P 2012 1000 m3 6_1_NC DE_P_2012_1000 m3_6_1_NC
DE P 2012 1000 m3 6_1_NC_T DE_P_2012_1000 m3_6_1_NC_T
DE P 2012 1000 m3 6_2 DE_P_2012_1000 m3_6_2
DE P 2012 1000 m3 6_2_C DE_P_2012_1000 m3_6_2_C
DE P 2012 1000 m3 6_2_NC DE_P_2012_1000 m3_6_2_NC
DE P 2012 1000 m3 6_2_NC_T DE_P_2012_1000 m3_6_2_NC_T
DE P 2012 1000 m3 6_3 DE_P_2012_1000 m3_6_3
DE P 2012 1000 m3 6_3_1 DE_P_2012_1000 m3_6_3_1
DE P 2012 1000 m3 6_4 DE_P_2012_1000 m3_6_4
DE P 2012 1000 m3 6_4_1 DE_P_2012_1000 m3_6_4_1
DE P 2012 1000 m3 6_4_2 DE_P_2012_1000 m3_6_4_2
DE P 2012 1000 m3 6_4_3 DE_P_2012_1000 m3_6_4_3
DE P 2012 1000 mt 7 DE_P_2012_1000 mt_7
DE P 2012 1000 mt 7_1 DE_P_2012_1000 mt_7_1
DE P 2012 1000 mt 7_2 DE_P_2012_1000 mt_7_2
DE P 2012 1000 mt 7_3 DE_P_2012_1000 mt_7_3
DE P 2012 1000 mt 7_3_1 DE_P_2012_1000 mt_7_3_1
DE P 2012 1000 mt 7_3_2 DE_P_2012_1000 mt_7_3_2
DE P 2012 1000 mt 7_3_3 DE_P_2012_1000 mt_7_3_3
DE P 2012 1000 mt 7_3_4 DE_P_2012_1000 mt_7_3_4
DE P 2012 1000 mt 7_4 DE_P_2012_1000 mt_7_4
DE P 2012 1000 mt 8 DE_P_2012_1000 mt_8
DE P 2012 1000 mt 8_1 DE_P_2012_1000 mt_8_1
DE P 2012 1000 mt 8_2 DE_P_2012_1000 mt_8_2
DE P 2012 1000 mt 9 DE_P_2012_1000 mt_9
DE P 2012 1000 mt 10 DE_P_2012_1000 mt_10
DE P 2012 1000 mt 10_1 DE_P_2012_1000 mt_10_1
DE P 2012 1000 mt 10_1_1 DE_P_2012_1000 mt_10_1_1
DE P 2012 1000 mt 10_1_2 DE_P_2012_1000 mt_10_1_2
DE P 2012 1000 mt 10_1_3 DE_P_2012_1000 mt_10_1_3
DE P 2012 1000 mt 10_1_4 DE_P_2012_1000 mt_10_1_4
DE P 2012 1000 mt 10_2 DE_P_2012_1000 mt_10_2
DE P 2012 1000 mt 10_3 DE_P_2012_1000 mt_10_3
DE P 2012 1000 mt 10_3_1 DE_P_2012_1000 mt_10_3_1
DE P 2012 1000 mt 10_3_2 DE_P_2012_1000 mt_10_3_2
DE P 2012 1000 mt 10_3_3 DE_P_2012_1000 mt_10_3_3
DE P 2012 1000 mt 10_3_4 DE_P_2012_1000 mt_10_3_4
DE P 2012 1000 mt 10_4 DE_P_2012_1000 mt_10_4
DE M 2012 1000 m3 1 DE_M_2012_1000 m3_1
DE M 2012 1000 m3 1_1 DE_M_2012_1000 m3_1_1
DE M 2012 1000 m3 1_2 DE_M_2012_1000 m3_1_2
DE M 2012 1000 m3 1_2_C DE_M_2012_1000 m3_1_2_C
DE M 2012 1000 m3 1_2_NC DE_M_2012_1000 m3_1_2_NC
DE M 2012 1000 m3 1_2_NC_T DE_M_2012_1000 m3_1_2_NC_T
DE M 2012 1000 mt 2 DE_M_2012_1000 mt_2
DE M 2012 1000 m3 3 DE_M_2012_1000 m3_3
DE M 2012 1000 m3 3_1 DE_M_2012_1000 m3_3_1
DE M 2012 1000 m3 3_2 DE_M_2012_1000 m3_3_2
DE M 2012 1000 mt 4 DE_M_2012_1000 mt_4
DE M 2012 1000 mt 4_1 DE_M_2012_1000 mt_4_1
DE M 2012 1000 mt 4_2 DE_M_2012_1000 mt_4_2
DE M 2012 1000 m3 5 DE_M_2012_1000 m3_5
DE M 2012 1000 m3 5_C DE_M_2012_1000 m3_5_C
DE M 2012 1000 m3 5_NC DE_M_2012_1000 m3_5_NC
DE M 2012 1000 m3 5_NC_T DE_M_2012_1000 m3_5_NC_T
DE M 2012 1000 m3 6 DE_M_2012_1000 m3_6
DE M 2012 1000 m3 6_1 DE_M_2012_1000 m3_6_1
DE M 2012 1000 m3 6_1_C DE_M_2012_1000 m3_6_1_C
DE M 2012 1000 m3 6_1_NC DE_M_2012_1000 m3_6_1_NC
DE M 2012 1000 m3 6_1_NC_T DE_M_2012_1000 m3_6_1_NC_T
DE M 2012 1000 m3 6_2 DE_M_2012_1000 m3_6_2
DE M 2012 1000 m3 6_2_C DE_M_2012_1000 m3_6_2_C
DE M 2012 1000 m3 6_2_NC DE_M_2012_1000 m3_6_2_NC
DE M 2012 1000 m3 6_2_NC_T DE_M_2012_1000 m3_6_2_NC_T
DE M 2012 1000 m3 6_3 DE_M_2012_1000 m3_6_3
DE M 2012 1000 m3 6_3_1 DE_M_2012_1000 m3_6_3_1
DE M 2012 1000 m3 6_4 DE_M_2012_1000 m3_6_4
DE M 2012 1000 m3 6_4_1 DE_M_2012_1000 m3_6_4_1
DE M 2012 1000 m3 6_4_2 DE_M_2012_1000 m3_6_4_2
DE M 2012 1000 m3 6_4_3 DE_M_2012_1000 m3_6_4_3
DE M 2012 1000 mt 7 DE_M_2012_1000 mt_7
DE M 2012 1000 mt 7_1 DE_M_2012_1000 mt_7_1
DE M 2012 1000 mt 7_2 DE_M_2012_1000 mt_7_2
DE M 2012 1000 mt 7_3 DE_M_2012_1000 mt_7_3
DE M 2012 1000 mt 7_3_1 DE_M_2012_1000 mt_7_3_1
DE M 2012 1000 mt 7_3_2 DE_M_2012_1000 mt_7_3_2
DE M 2012 1000 mt 7_3_3 DE_M_2012_1000 mt_7_3_3
DE M 2012 1000 mt 7_3_4 DE_M_2012_1000 mt_7_3_4
DE M 2012 1000 mt 7_4 DE_M_2012_1000 mt_7_4
DE M 2012 1000 mt 8 DE_M_2012_1000 mt_8
DE M 2012 1000 mt 8_1 DE_M_2012_1000 mt_8_1
DE M 2012 1000 mt 8_2 DE_M_2012_1000 mt_8_2
DE M 2012 1000 mt 9 DE_M_2012_1000 mt_9
DE M 2012 1000 mt 10 DE_M_2012_1000 mt_10
DE M 2012 1000 mt 10_1 DE_M_2012_1000 mt_10_1
DE M 2012 1000 mt 10_1_1 DE_M_2012_1000 mt_10_1_1
DE M 2012 1000 mt 10_1_2 DE_M_2012_1000 mt_10_1_2
DE M 2012 1000 mt 10_1_3 DE_M_2012_1000 mt_10_1_3
DE M 2012 1000 mt 10_1_4 DE_M_2012_1000 mt_10_1_4
DE M 2012 1000 mt 10_2 DE_M_2012_1000 mt_10_2
DE M 2012 1000 mt 10_3 DE_M_2012_1000 mt_10_3
DE M 2012 1000 mt 10_3_1 DE_M_2012_1000 mt_10_3_1
DE M 2012 1000 mt 10_3_2 DE_M_2012_1000 mt_10_3_2
DE M 2012 1000 mt 10_3_3 DE_M_2012_1000 mt_10_3_3
DE M 2012 1000 mt 10_3_4 DE_M_2012_1000 mt_10_3_4
DE M 2012 1000 mt 10_4 DE_M_2012_1000 mt_10_4
DE M 2012 1000 NAC 1 DE_M_2012_1000 NAC_1
DE M 2012 1000 NAC 1_1 DE_M_2012_1000 NAC_1_1
DE M 2012 1000 NAC 1_2 DE_M_2012_1000 NAC_1_2
DE M 2012 1000 NAC 1_2_C DE_M_2012_1000 NAC_1_2_C
DE M 2012 1000 NAC 1_2_NC DE_M_2012_1000 NAC_1_2_NC
DE M 2012 1000 NAC 1_2_NC_T DE_M_2012_1000 NAC_1_2_NC_T
DE M 2012 1000 NAC 2 DE_M_2012_1000 NAC_2
DE M 2012 1000 NAC 3 DE_M_2012_1000 NAC_3
DE M 2012 1000 NAC 3_1 DE_M_2012_1000 NAC_3_1
DE M 2012 1000 NAC 3_2 DE_M_2012_1000 NAC_3_2
DE M 2012 1000 NAC 4 DE_M_2012_1000 NAC_4
DE M 2012 1000 NAC 4_1 DE_M_2012_1000 NAC_4_1
DE M 2012 1000 NAC 4_2 DE_M_2012_1000 NAC_4_2
DE M 2012 1000 NAC 5 DE_M_2012_1000 NAC_5
DE M 2012 1000 NAC 5_C DE_M_2012_1000 NAC_5_C
DE M 2012 1000 NAC 5_NC DE_M_2012_1000 NAC_5_NC
DE M 2012 1000 NAC 5_NC_T DE_M_2012_1000 NAC_5_NC_T
DE M 2012 1000 NAC 6 DE_M_2012_1000 NAC_6
DE M 2012 1000 NAC 6_1 DE_M_2012_1000 NAC_6_1
DE M 2012 1000 NAC 6_1_C DE_M_2012_1000 NAC_6_1_C
DE M 2012 1000 NAC 6_1_NC DE_M_2012_1000 NAC_6_1_NC
DE M 2012 1000 NAC 6_1_NC_T DE_M_2012_1000 NAC_6_1_NC_T
DE M 2012 1000 NAC 6_2 DE_M_2012_1000 NAC_6_2
DE M 2012 1000 NAC 6_2_C DE_M_2012_1000 NAC_6_2_C
DE M 2012 1000 NAC 6_2_NC DE_M_2012_1000 NAC_6_2_NC
DE M 2012 1000 NAC 6_2_NC_T DE_M_2012_1000 NAC_6_2_NC_T
DE M 2012 1000 NAC 6_3 DE_M_2012_1000 NAC_6_3
DE M 2012 1000 NAC 6_3_1 DE_M_2012_1000 NAC_6_3_1
DE M 2012 1000 NAC 6_4 DE_M_2012_1000 NAC_6_4
DE M 2012 1000 NAC 6_4_1 DE_M_2012_1000 NAC_6_4_1
DE M 2012 1000 NAC 6_4_2 DE_M_2012_1000 NAC_6_4_2
DE M 2012 1000 NAC 6_4_3 DE_M_2012_1000 NAC_6_4_3
DE M 2012 1000 NAC 7 DE_M_2012_1000 NAC_7
DE M 2012 1000 NAC 7_1 DE_M_2012_1000 NAC_7_1
DE M 2012 1000 NAC 7_2 DE_M_2012_1000 NAC_7_2
DE M 2012 1000 NAC 7_3 DE_M_2012_1000 NAC_7_3
DE M 2012 1000 NAC 7_3_1 DE_M_2012_1000 NAC_7_3_1
DE M 2012 1000 NAC 7_3_2 DE_M_2012_1000 NAC_7_3_2
DE M 2012 1000 NAC 7_3_3 DE_M_2012_1000 NAC_7_3_3
DE M 2012 1000 NAC 7_3_4 DE_M_2012_1000 NAC_7_3_4
DE M 2012 1000 NAC 7_4 DE_M_2012_1000 NAC_7_4
DE M 2012 1000 NAC 8 DE_M_2012_1000 NAC_8
DE M 2012 1000 NAC 8_1 DE_M_2012_1000 NAC_8_1
DE M 2012 1000 NAC 8_2 DE_M_2012_1000 NAC_8_2
DE M 2012 1000 NAC 9 DE_M_2012_1000 NAC_9
DE M 2012 1000 NAC 10 DE_M_2012_1000 NAC_10
DE M 2012 1000 NAC 10_1 DE_M_2012_1000 NAC_10_1
DE M 2012 1000 NAC 10_1_1 DE_M_2012_1000 NAC_10_1_1
DE M 2012 1000 NAC 10_1_2 DE_M_2012_1000 NAC_10_1_2
DE M 2012 1000 NAC 10_1_3 DE_M_2012_1000 NAC_10_1_3
DE M 2012 1000 NAC 10_1_4 DE_M_2012_1000 NAC_10_1_4
DE M 2012 1000 NAC 10_2 DE_M_2012_1000 NAC_10_2
DE M 2012 1000 NAC 10_3 DE_M_2012_1000 NAC_10_3
DE M 2012 1000 NAC 10_3_1 DE_M_2012_1000 NAC_10_3_1
DE M 2012 1000 NAC 10_3_2 DE_M_2012_1000 NAC_10_3_2
DE M 2012 1000 NAC 10_3_3 DE_M_2012_1000 NAC_10_3_3
DE M 2012 1000 NAC 10_3_4 DE_M_2012_1000 NAC_10_3_4
DE M 2012 1000 NAC 10_4 DE_M_2012_1000 NAC_10_4
DE X 2012 1000 m3 1 DE_X_2012_1000 m3_1
DE X 2012 1000 m3 1_1 DE_X_2012_1000 m3_1_1
DE X 2012 1000 m3 1_2 DE_X_2012_1000 m3_1_2
DE X 2012 1000 m3 1_2_C DE_X_2012_1000 m3_1_2_C
DE X 2012 1000 m3 1_2_NC DE_X_2012_1000 m3_1_2_NC
DE X 2012 1000 m3 1_2_NC_T DE_X_2012_1000 m3_1_2_NC_T
DE X 2012 1000 mt 2 DE_X_2012_1000 mt_2
DE X 2012 1000 m3 3 DE_X_2012_1000 m3_3
DE X 2012 1000 m3 3_1 DE_X_2012_1000 m3_3_1
DE X 2012 1000 m3 3_2 DE_X_2012_1000 m3_3_2
DE X 2012 1000 mt 4 DE_X_2012_1000 mt_4
DE X 2012 1000 mt 4_1 DE_X_2012_1000 mt_4_1
DE X 2012 1000 mt 4_2 DE_X_2012_1000 mt_4_2
DE X 2012 1000 m3 5 DE_X_2012_1000 m3_5
DE X 2012 1000 m3 5_C DE_X_2012_1000 m3_5_C
DE X 2012 1000 m3 5_NC DE_X_2012_1000 m3_5_NC
DE X 2012 1000 m3 5_NC_T DE_X_2012_1000 m3_5_NC_T
DE X 2012 1000 m3 6 DE_X_2012_1000 m3_6
DE X 2012 1000 m3 6_1 DE_X_2012_1000 m3_6_1
DE X 2012 1000 m3 6_1_C DE_X_2012_1000 m3_6_1_C
DE X 2012 1000 m3 6_1_NC DE_X_2012_1000 m3_6_1_NC
DE X 2012 1000 m3 6_1_NC_T DE_X_2012_1000 m3_6_1_NC_T
DE X 2012 1000 m3 6_2 DE_X_2012_1000 m3_6_2
DE X 2012 1000 m3 6_2_C DE_X_2012_1000 m3_6_2_C
DE X 2012 1000 m3 6_2_NC DE_X_2012_1000 m3_6_2_NC
DE X 2012 1000 m3 6_2_NC_T DE_X_2012_1000 m3_6_2_NC_T
DE X 2012 1000 m3 6_3 DE_X_2012_1000 m3_6_3
DE X 2012 1000 m3 6_3_1 DE_X_2012_1000 m3_6_3_1
DE X 2012 1000 m3 6_4 DE_X_2012_1000 m3_6_4
DE X 2012 1000 m3 6_4_1 DE_X_2012_1000 m3_6_4_1
DE X 2012 1000 m3 6_4_2 DE_X_2012_1000 m3_6_4_2
DE X 2012 1000 m3 6_4_3 DE_X_2012_1000 m3_6_4_3
DE X 2012 1000 mt 7 DE_X_2012_1000 mt_7
DE X 2012 1000 mt 7_1 DE_X_2012_1000 mt_7_1
DE X 2012 1000 mt 7_2 DE_X_2012_1000 mt_7_2
DE X 2012 1000 mt 7_3 DE_X_2012_1000 mt_7_3
DE X 2012 1000 mt 7_3_1 DE_X_2012_1000 mt_7_3_1
DE X 2012 1000 mt 7_3_2 DE_X_2012_1000 mt_7_3_2
DE X 2012 1000 mt 7_3_3 DE_X_2012_1000 mt_7_3_3
DE X 2012 1000 mt 7_3_4 DE_X_2012_1000 mt_7_3_4
DE X 2012 1000 mt 7_4 DE_X_2012_1000 mt_7_4
DE X 2012 1000 mt 8 DE_X_2012_1000 mt_8
DE X 2012 1000 mt 8_1 DE_X_2012_1000 mt_8_1
DE X 2012 1000 mt 8_2 DE_X_2012_1000 mt_8_2
DE X 2012 1000 mt 9 DE_X_2012_1000 mt_9
DE X 2012 1000 mt 10 DE_X_2012_1000 mt_10
DE X 2012 1000 mt 10_1 DE_X_2012_1000 mt_10_1
DE X 2012 1000 mt 10_1_1 DE_X_2012_1000 mt_10_1_1
DE X 2012 1000 mt 10_1_2 DE_X_2012_1000 mt_10_1_2
DE X 2012 1000 mt 10_1_3 DE_X_2012_1000 mt_10_1_3
DE X 2012 1000 mt 10_1_4 DE_X_2012_1000 mt_10_1_4
DE X 2012 1000 mt 10_2 DE_X_2012_1000 mt_10_2
DE X 2012 1000 mt 10_3 DE_X_2012_1000 mt_10_3
DE X 2012 1000 mt 10_3_1 DE_X_2012_1000 mt_10_3_1
DE X 2012 1000 mt 10_3_2 DE_X_2012_1000 mt_10_3_2
DE X 2012 1000 mt 10_3_3 DE_X_2012_1000 mt_10_3_3
DE X 2012 1000 mt 10_3_4 DE_X_2012_1000 mt_10_3_4
DE X 2012 1000 mt 10_4 DE_X_2012_1000 mt_10_4
DE X 2012 1000 NAC 1 DE_X_2012_1000 NAC_1
DE X 2012 1000 NAC 1_1 DE_X_2012_1000 NAC_1_1
DE X 2012 1000 NAC 1_2 DE_X_2012_1000 NAC_1_2
DE X 2012 1000 NAC 1_2_C DE_X_2012_1000 NAC_1_2_C
DE X 2012 1000 NAC 1_2_NC DE_X_2012_1000 NAC_1_2_NC
DE X 2012 1000 NAC 1_2_NC_T DE_X_2012_1000 NAC_1_2_NC_T
DE X 2012 1000 NAC 2 DE_X_2012_1000 NAC_2
DE X 2012 1000 NAC 3 DE_X_2012_1000 NAC_3
DE X 2012 1000 NAC 3_1 DE_X_2012_1000 NAC_3_1
DE X 2012 1000 NAC 3_2 DE_X_2012_1000 NAC_3_2
DE X 2012 1000 NAC 4 DE_X_2012_1000 NAC_4
DE X 2012 1000 NAC 4_1 DE_X_2012_1000 NAC_4_1
DE X 2012 1000 NAC 4_2 DE_X_2012_1000 NAC_4_2
DE X 2012 1000 NAC 5 DE_X_2012_1000 NAC_5
DE X 2012 1000 NAC 5_C DE_X_2012_1000 NAC_5_C
DE X 2012 1000 NAC 5_NC DE_X_2012_1000 NAC_5_NC
DE X 2012 1000 NAC 5_NC_T DE_X_2012_1000 NAC_5_NC_T
DE X 2012 1000 NAC 6 DE_X_2012_1000 NAC_6
DE X 2012 1000 NAC 6_1 DE_X_2012_1000 NAC_6_1
DE X 2012 1000 NAC 6_1_C DE_X_2012_1000 NAC_6_1_C
DE X 2012 1000 NAC 6_1_NC DE_X_2012_1000 NAC_6_1_NC
DE X 2012 1000 NAC 6_1_NC_T DE_X_2012_1000 NAC_6_1_NC_T
DE X 2012 1000 NAC 6_2 DE_X_2012_1000 NAC_6_2
DE X 2012 1000 NAC 6_2_C DE_X_2012_1000 NAC_6_2_C
DE X 2012 1000 NAC 6_2_NC DE_X_2012_1000 NAC_6_2_NC
DE X 2012 1000 NAC 6_2_NC_T DE_X_2012_1000 NAC_6_2_NC_T
DE X 2012 1000 NAC 6_3 DE_X_2012_1000 NAC_6_3
DE X 2012 1000 NAC 6_3_1 DE_X_2012_1000 NAC_6_3_1
DE X 2012 1000 NAC 6_4 DE_X_2012_1000 NAC_6_4
DE X 2012 1000 NAC 6_4_1 DE_X_2012_1000 NAC_6_4_1
DE X 2012 1000 NAC 6_4_2 DE_X_2012_1000 NAC_6_4_2
DE X 2012 1000 NAC 6_4_3 DE_X_2012_1000 NAC_6_4_3
DE X 2012 1000 NAC 7 DE_X_2012_1000 NAC_7
DE X 2012 1000 NAC 7_1 DE_X_2012_1000 NAC_7_1
DE X 2012 1000 NAC 7_2 DE_X_2012_1000 NAC_7_2
DE X 2012 1000 NAC 7_3 DE_X_2012_1000 NAC_7_3
DE X 2012 1000 NAC 7_3_1 DE_X_2012_1000 NAC_7_3_1
DE X 2012 1000 NAC 7_3_2 DE_X_2012_1000 NAC_7_3_2
DE X 2012 1000 NAC 7_3_3 DE_X_2012_1000 NAC_7_3_3
DE X 2012 1000 NAC 7_3_4 DE_X_2012_1000 NAC_7_3_4
DE X 2012 1000 NAC 7_4 DE_X_2012_1000 NAC_7_4
DE X 2012 1000 NAC 8 DE_X_2012_1000 NAC_8
DE X 2012 1000 NAC 8_1 DE_X_2012_1000 NAC_8_1
DE X 2012 1000 NAC 8_2 DE_X_2012_1000 NAC_8_2
DE X 2012 1000 NAC 9 DE_X_2012_1000 NAC_9
DE X 2012 1000 NAC 10 DE_X_2012_1000 NAC_10
DE X 2012 1000 NAC 10_1 DE_X_2012_1000 NAC_10_1
DE X 2012 1000 NAC 10_1_1 DE_X_2012_1000 NAC_10_1_1
DE X 2012 1000 NAC 10_1_2 DE_X_2012_1000 NAC_10_1_2
DE X 2012 1000 NAC 10_1_3 DE_X_2012_1000 NAC_10_1_3
DE X 2012 1000 NAC 10_1_4 DE_X_2012_1000 NAC_10_1_4
DE X 2012 1000 NAC 10_2 DE_X_2012_1000 NAC_10_2
DE X 2012 1000 NAC 10_3 DE_X_2012_1000 NAC_10_3
DE X 2012 1000 NAC 10_3_1 DE_X_2012_1000 NAC_10_3_1
DE X 2012 1000 NAC 10_3_2 DE_X_2012_1000 NAC_10_3_2
DE X 2012 1000 NAC 10_3_3 DE_X_2012_1000 NAC_10_3_3
DE X 2012 1000 NAC 10_3_4 DE_X_2012_1000 NAC_10_3_4
DE X 2012 1000 NAC 10_4 DE_X_2012_1000 NAC_10_4
DE M 2012 1000 NAC 11_1 DE_M_2012_1000 NAC_11_1
DE M 2012 1000 NAC 11_1_C DE_M_2012_1000 NAC_11_1_C
DE M 2012 1000 NAC 11_1_NC DE_M_2012_1000 NAC_11_1_NC
DE M 2012 1000 NAC 11_1_NC_T DE_M_2012_1000 NAC_11_1_NC_T
DE M 2012 1000 NAC 11_2 DE_M_2012_1000 NAC_11_2
DE M 2012 1000 NAC 11_3 DE_M_2012_1000 NAC_11_3
DE M 2012 1000 NAC 11_4 DE_M_2012_1000 NAC_11_4
DE M 2012 1000 NAC 11_5 DE_M_2012_1000 NAC_11_5
DE M 2012 1000 NAC 11_6 DE_M_2012_1000 NAC_11_6
DE M 2012 1000 NAC 11_7 DE_M_2012_1000 NAC_11_7
DE M 2012 1000 NAC 11_7_1 DE_M_2012_1000 NAC_11_7_1
DE M 2012 1000 NAC 12_1 DE_M_2012_1000 NAC_12_1
DE M 2012 1000 NAC 12_2 DE_M_2012_1000 NAC_12_2
DE M 2012 1000 NAC 12_3 DE_M_2012_1000 NAC_12_3
DE M 2012 1000 NAC 12_4 DE_M_2012_1000 NAC_12_4
DE M 2012 1000 NAC 12_5 DE_M_2012_1000 NAC_12_5
DE M 2012 1000 NAC 12_6 DE_M_2012_1000 NAC_12_6
DE M 2012 1000 NAC 12_6_1 DE_M_2012_1000 NAC_12_6_1
DE M 2012 1000 NAC 12_6_2 DE_M_2012_1000 NAC_12_6_2
DE M 2012 1000 NAC 12_6_3 DE_M_2012_1000 NAC_12_6_3
DE M 2012 1000 NAC 12_7 DE_M_2012_1000 NAC_12_7
DE M 2012 1000 NAC 12_7_1 DE_M_2012_1000 NAC_12_7_1
DE M 2012 1000 NAC 12_7_2 DE_M_2012_1000 NAC_12_7_2
DE M 2012 1000 NAC 12_7_3 DE_M_2012_1000 NAC_12_7_3
DE X 2012 1000 NAC 11_1 DE_X_2012_1000 NAC_11_1
DE X 2012 1000 NAC 11_1_C DE_X_2012_1000 NAC_11_1_C
DE X 2012 1000 NAC 11_1_NC DE_X_2012_1000 NAC_11_1_NC
DE X 2012 1000 NAC 11_1_NC_T DE_X_2012_1000 NAC_11_1_NC_T
DE X 2012 1000 NAC 11_2 DE_X_2012_1000 NAC_11_2
DE X 2012 1000 NAC 11_3 DE_X_2012_1000 NAC_11_3
DE X 2012 1000 NAC 11_4 DE_X_2012_1000 NAC_11_4
DE X 2012 1000 NAC 11_5 DE_X_2012_1000 NAC_11_5
DE X 2012 1000 NAC 11_6 DE_X_2012_1000 NAC_11_6
DE X 2012 1000 NAC 11_7 DE_X_2012_1000 NAC_11_7
DE X 2012 1000 NAC 11_7_1 DE_X_2012_1000 NAC_11_7_1
DE X 2012 1000 NAC 12_1 DE_X_2012_1000 NAC_12_1
DE X 2012 1000 NAC 12_2 DE_X_2012_1000 NAC_12_2
DE X 2012 1000 NAC 12_3 DE_X_2012_1000 NAC_12_3
DE X 2012 1000 NAC 12_4 DE_X_2012_1000 NAC_12_4
DE X 2012 1000 NAC 12_5 DE_X_2012_1000 NAC_12_5
DE X 2012 1000 NAC 12_6 DE_X_2012_1000 NAC_12_6
DE X 2012 1000 NAC 12_6_1 DE_X_2012_1000 NAC_12_6_1
DE X 2012 1000 NAC 12_6_2 DE_X_2012_1000 NAC_12_6_2
DE X 2012 1000 NAC 12_6_3 DE_X_2012_1000 NAC_12_6_3
DE X 2012 1000 NAC 12_7 DE_X_2012_1000 NAC_12_7
DE X 2012 1000 NAC 12_7_1 DE_X_2012_1000 NAC_12_7_1
DE X 2012 1000 NAC 12_7_2 DE_X_2012_1000 NAC_12_7_2
DE X 2012 1000 NAC 12_7_3 DE_X_2012_1000 NAC_12_7_3
DE M 2012 1000 m3 ST_1_2_C DE_M_2012_1000 m3_ST_1_2_C
DE M 2012 1000 m3 ST_1_2_C_1 DE_M_2012_1000 m3_ST_1_2_C_1
DE M 2012 1000 m3 ST_1_2_C_1_1 DE_M_2012_1000 m3_ST_1_2_C_1_1
DE M 2012 1000 m3 ST_1_2_C_2_1 DE_M_2012_1000 m3_ST_1_2_C_2_1
DE M 2012 1000 m3 ST_1_2_C_2 DE_M_2012_1000 m3_ST_1_2_C_2
DE M 2012 1000 m3 ST_1_2_C_1_2 DE_M_2012_1000 m3_ST_1_2_C_1_2
DE M 2012 1000 m3 ST_1_2_C_2_2 DE_M_2012_1

Joint Forest Sector Questionnaire - 2018 - National Reply - Germany

Reply as received from country

Languages and translations
English

Guidelines

Dear Correspondent, Thank you for contributing to the Joint Forest Sector Questionnaire (JFSQ). Before filling in the worksheets, please read these guidelines. The 2019 JFSQ has been changed following the decisions of the Inter-Secretariat Working Group of January 2019. Please use only this questionnaire to report your data. The 2019 JFSQ contains no pre-filling. Use this questionnaire also to revise any historical data - fill in the correct year and your name on the cover page. The worksheet 'LAM' covers data on Glulam and X-lam. This sheet has a yellow drop-down cell where you can choose your unit of measurement. The total number of sheets to be filled in is eight core sheets (green tabs - to be validated by Eurostat) plus three for ITTO (brown tabs - not validated by Eurostat). The following auxiliary sheets (grey tabs) are meant to help you and to improve quality: • 'Check JQ-EU' and 'Check EU1-JQ2' ensure that data are consistent • Two cross-reference tables with the classifications; the CN and PRODCOM cross-references are provided in a separate file. Put all your data into one Excel file. If you send some data in later, give your file a new version number and date (see A.1.) and notify us of the changes with respect to the previous version. Only send us completely filled-in sheets, highlighting the changes in yellow. Do not delete worksheets. Each sheet has a working area for your input. Most sheets have checking cells and tables. Each working area has white cells and shaded cells. Eurostat has highlighted the variables it considers most important for its publications - please fill those in as a priority. When you submit a revision, please highlight changes in yellow and explain them in the appropriate 'Note' column. Please use flags and notes (see A.5). This information is important for Eurostat. A. General recommendations A.1 Please give your file a meaningful name by changing all the placeholders in the file sent to you. Example: 2017_JFSQ_[Country]_V[Version]_[DD][MMM][YYYY].xls • Country = your country's two-digit code from the cover sheet • Version = the version of the file you are sending (1-99) • DD = the day of sending • MMM = the month of sending in text, e.g. APR for April, AUG for August • YYYY = the year of sending A.2 The cover page is for your contact details, which are automatically copied to the other worksheets • Check your country code • If necessary change the reference year [red cell] as appropriate - the previous year will appear automatically If you distribute worksheets to various experts, they can each put their contact details into the sheets. It will then be your job to put all the information together again and to verify the checking tables, since some of them will not work as designed in isolation. A.3 Look at the unit of measurement to be used for each item and report in this unit if possible, using the conversion factors on the last page of the JFSQ definitions. Please report the monetary values in the same unit for both reporting years. Only report data or modify cells in the working areas. Please do not delete checking areas or checking sheets. • Look at the checking areas and make the necessary corrections to your data to remove all warnings (see the specific recommendations) before sending in your data. Fill in real zeroes '0' in the worksheets if there is no production or trade. Empty cells will be interpreted as 'Data not available'. • There are counters at the bottom of the tables to indicate the number of cells left to be filled in and the number of cells filled with text. Report all data with at least three decimals. Do not use a separator for thousands; for the decimal point, please use the one set up by default. A.4 Report numbers only. If data are confidential, please provide them if possible, appropriately flagged (see A.5). • Eurostat has a right to all confidential data necessary for its work. It has an obligation to use such data only in aggregates and to respect all the legal obligations. • If you cannot provide confidential data, a good option is to send in your own estimate flagged as a national estimate '9' • As a last resort, leave the cell empty, flag it and write a note indicating data sources and links. Checking tables contain formulae to sum up the totals for sub-items. A.5 Flag cells and write notes as appropriate. Flags should be entered in the 'Flag' columns and notes in the 'Note' columns for the appropriate year and item. The flags to use are: • 5 for repeating the data of a previous year • 6 for confidential data • 7 for provisional data • 9 for national estimate B Specific recommendations B.1 Sheet 'Removals over bark' is for volumes of wood products measured over bark. General over bark/under bark conversion factors are calculated automatically. • Should you use different conversion factor(s) please delete the ones provided and insert your own • If you only have under bark data, please leave this worksheet empty, but revise the table with the conversion factors. • Unchanged conversion factors will be considered revised A checking table verifies that sums of sub-items agree with the totals B.2 Checking tables on worksheets improve data quality, verifying that: • The sum of the sub-items equals the total • The sum of 'of which' items is not larger than the total All cells in a checking table should be zero or empty. If this is not the case, please check your numbers for the sub-items and totals. The checking table indicates the difference, so if you see a negative value, you will have to decide which number should be increased by that amount. The only exception is when no data are entered due to confidentiality. B.3 Worksheets 'JQ2' and 'EU1' contain a checking table for apparent consumption and for unit values. Apparent consumption = Production + Imports – Exports. It should be positive or nil. If this is not the case, the cell will change colour and indicate the difference. • Please correct the data in the sheets until checking results are positive or nil. One solution is to increase production • If the data are correct but apparent consumption is still negative, please explain why in the 'Note' column provided in the apparent consumption checking table. B.4 Sheets 'JQ2', 'ECE/EU Species Trade' and 'EU1' on trade have checking tables to verify data consistency. Both quantity and value must be present. When something is missing, messages or coloured cells appear in the checking tables. Please correct your data until all warnings disappear. The meaning of the messages is: • 0: both value and quantity are zero – all is well, there is no trade • ZERO Q: value is reported, quantity is zero - please correct • ZERO V: quantity is reported, value is zero - please correct • REPORT: both quantity and value are blank - please fill in • NO Q: blank cell for quantity – please fill in • NO V: blank cell for value – please fill in Please enter even very small numbers to resolve problems, using as many decimal places as necessary. If there is no way to correct the problem, please write an explanation in the 'Note' column. If there is no trade for a product, please enter 0 for both quantity and value. B.5 'Check JQ-EU' cross-checks the data in four sheets. This concerns the three roundwood items in sheets 'JQ1' and 'EU2' and the four industrial roundwood and sawnwood items in sheets 'JQ2' and 'ECE/EU Species Trade'. • When the four sheets are filled in correctly, this checking sheet should have no 'WRONG' messages (red) • When there are such messages, please follow the row in which a cell in magenta indicates a mistake back to column F to find out which two tables are concerned. The difference between the numbers is in the 'dif'-row. • Please correct working sheets until all warnings disappear B.6 'Check EU1-JQ2' cross-checks data on total trade with extra-EU trade. The numbers in 'JQ2' should be greater than or equal to those in 'EU1'. • If there are 'WRONG' messages (red), please go back to the data in EU1 and/or JQ2 and correct it • Please correct working sheets until all warnings disappear Thank you for collecting data for the JFSQ. Eurostat's Forestry Team

Cover

Joint Forest Sector Questionnaire
2018
DATA INPUT FILE
Correspondent country: DE
Reference year: 2018 Fill in the year
Name of person responsible for reply:
Official address (in full):
Telephone:
Fax:
E-mail:

Removals over bark

Country: DE Date: Country: DE
Name of Official responsible for reply: 0
Check Table
Official Address (in full):
EU JQ1 OB 0
FOREST SECTOR QUESTIONNAIRE Telephone: 0 0 Discrepancies
Removals E-mail: 0 if not 0, please verify !!!
Year 1 Year 2 Flag Flag Note Note
Product Product Unit 2017 2018 2017 2018 2017 2018 Product Product Unit 2017 2018
Code Quantity Quantity Code Quantity Quantity
ROUNDWOOD REMOVALS OVERBARK ROUNDWOOD REMOVALS OVERBARK
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 0 0
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 0 0
1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub
1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0
1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 0 0
1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 0 0
1.2.NC.T of which: Tropical 1000 m3ub 1.2.NC.T of which: Tropical 1000 m3ub OK OK
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 0 0
1.2.1.C Coniferous 1000 m3ub 1.2.1.C Coniferous 1000 m3ub
1.2.1.NC Non-Coniferous 1000 m3ub 1.2.1.NC Non-Coniferous 1000 m3ub
1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ub 1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ub 0 0
1.2.2.C Coniferous 1000 m3ub 1.2.2.C Coniferous 1000 m3ub
1.2.2.NC Non-Coniferous 1000 m3ub 1.2.2.NC Non-Coniferous 1000 m3ub
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0
1.2.3.C Coniferous 1000 m3ub 1.2.3.C Coniferous 1000 m3ub
1.2.3.NC Non-Coniferous 1000 m3ub 1.2.3.NC Non-Coniferous 1000 m3ub
To fill: 17 17
Text: 0 0
Product Product Unit 2017 2018
Code CF CF
OVERBARK/UNDERBARK CONVERSION FACTORS
1 ROUNDWOOD (WOOD IN THE ROUGH) m3/m3 0.000 0.000
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) m3/m3 0.000 0.000
1.1.C Coniferous m3/m3 0.000 0.000
1.1.NC Non-Coniferous m3/m3 0.000 0.000
1.2 INDUSTRIAL ROUNDWOOD m3/m3 1.100 1.100
1.2.C Coniferous m3/m3 1.200 1.200
1.2.NC Non-Coniferous m3/m3 0.000 0.000
1.2.NC.T of which: Tropical m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1 SAWLOGS AND VENEER LOGS m3/m3 0.000 0.000
1.2.1.C Coniferous m3/m3 0.000 0.000
1.2.1.NC Non-Coniferous m3/m3 1.100 1.100
1.2.2 PULPWOOD, ROUND AND SPLIT m3/m3 1.200 1.200
1.2.2.C Coniferous m3/m3 0.000 0.000
1.2.2.NC Non-Coniferous m3/m3 1.100 1.100
1.2.3 OTHER INDUSTRIAL ROUNDWOOD m3/m3 1.200 1.200
1.2.3.C Coniferous m3/m3 0.000 0.000
1.2.3.NC Non-Coniferous m3/m3 1.100 1.100

JQ1 Production

Country: DE Date: Country: DE
Name of Official responsible for reply: 0
Official Address (in full): Should we make missing data into 0?
FOREST SECTOR QUESTIONNAIRE JQ1 0 Not included: trade in chips
Industrial Roundwood Balance
PRIMARY PRODUCTS Telephone: 0 0 This table highlights discrepancies between items and sub-items. Please verify your data for any non-zero figure! Discrepancies
Removals and Production E-mail: 0 test for good numbers, missing number, bad number, negative number
Year -1 Year Flag Flag Note Note
Product Product Unit 2017 2018 2017 2018 2017 2018 Product Product Unit 2017 2018 2017 2018 % change Conversion factors
Code Quantity Quantity Code Quantity Quantity Roundwood Industrial roundwood availability
McCusker 14/6/07: McCusker 14/6/07: minus 1.2.3 (other ind. RW) production
47,779 242,989 409% m3 of wood in m3 or mt of product
REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) Recovered wood used in particle board 2016 2015 -0% Solid wood equivalent
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 65,717.379 71,802.090 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 0 0 Solid Wood Demand agglomerate production 2,428 2,705 11% 2.4
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 22,388.937 21,874.113 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 0 0 Sawnwood production 23,168 23,743 2% 1
1.1.C Coniferous 1000 m3ub 8,432.766 8,134.888 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.1.C Coniferous 1000 m3ub veneer production 89 88 -1% 1
1.1.NC Non-Coniferous 1000 m3ub 13,956.171 13,739.225 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.1.NC Non-Coniferous 1000 m3ub plywood production 100 118 18% 1
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 43,328.442 49,927.977 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0 particle board production (incl OSB) 7,211 6,988 -3% 1.58
1.2.C Coniferous 1000 m3ub 37,306.200 43,182.140 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.C Coniferous 1000 m3ub 0 0 fibreboard production 5,745 5,607 -2% 1.8
1.2.NC Non-Coniferous 1000 m3ub 6,022.242 6,745.837 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.NC Non-Coniferous 1000 m3ub 0 0 mechanical/semi-chemical pulp production 795 813 2% 2.5
1.2.NC.T of which: Tropical 1000 m3ub 0.000 0.000 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.NC.T of which: Tropical 1000 m3ub OK OK chemical pulp production 1,637 1,585 -3% 4.9
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 32,755.853 38,702.370 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 0 0 dissolving pulp production 0 0 missing data 5.7
1.2.1.C Coniferous 1000 m3ub 29,600.465 35,151.571 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.1.C Coniferous 1000 m3ub Availability Solid Wood Demand 60,926 61,373 1%
1.2.1.NC Non-Coniferous 1000 m3ub 3,155.388 3,550.799 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.1.NC Non-Coniferous 1000 m3ub Difference (roundwood-demand) -58,910 -59,358 1% positive = surplus
1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub 10,499.797 11,151.566 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub 0 0 gap (demand/availability) -28% 75% Negative number means not enough roundwood available
1.2.2.C Coniferous 1000 m3ub 7,633.392 7,956.970 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.2.C Coniferous 1000 m3ub Positive number means more roundwood available than demanded
1.2.2.NC Non-Coniferous 1000 m3ub 2,866.405 3,194.595 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.2.NC Non-Coniferous 1000 m3ub
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 72.792 74.041 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0
1.2.3.C Coniferous 1000 m3ub 72.343 73.599 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.3.C Coniferous 1000 m3ub % of particle board that is from recovered wood 35%
1.2.3.NC Non-Coniferous 1000 m3ub 0.449 0.442 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.3.NC Non-Coniferous 1000 m3ub share of agglomerates produced from industrial roundwood residues 100%
PRODUCTION PRODUCTION usable industrial roundwood - amount of roundwood that is used, remainder leaves industry 98.5%
2 WOOD CHARCOAL 1000 mt 30.000 30.000 9 9 2 WOOD CHARCOAL 1000 mt
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 14,230.426 14,930.595 9 9 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 0 0
3.1 WOOD CHIPS AND PARTICLES 1000 m3 10,345.838 10,602.712 9 9 3.1 WOOD CHIPS AND PARTICLES 1000 m3
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3,884.587 4,327.883 9 9 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3
4 RECOVERED POST-CONSUMER WOOD 1000 mt 6,601.000 6,601.000 5 5 4 RECOVERED POST-CONSUMER WOOD 1000 mt
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 2,427.867 2,704.927 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 0 0
5.1 WOOD PELLETS 1000 mt 2,250.000 2,415.000 5.1 WOOD PELLETS 1000 mt
5.2 OTHER AGGLOMERATES 1000 mt 177.867 289.927 9 9 5.2 OTHER AGGLOMERATES 1000 mt
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 23,167.680 23,742.902 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 0 0
6.C Coniferous 1000 m3 22,050.255 22,609.724 6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3 1,117.425 1,133.178 6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3 0.210 0.147 9 9 6.NC.T of which: Tropical 1000 m3 OK OK
7 VENEER SHEETS 1000 m3 88.850 88.247 9 9 7 VENEER SHEETS 1000 m3 0 0
7.C Coniferous 1000 m3 0.329 0.327 9 9 7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3 88.521 87.920 9 9 7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3 - - 9 9 7.NC.T of which: Tropical 1000 m3 Error Error
8 WOOD-BASED PANELS 1000 m3 13,055.543 12,712.537 9 9 8 WOOD-BASED PANELS 1000 m3 0 0
8.1 PLYWOOD 1000 m3 99.845 117.786 9 9 8.1 PLYWOOD 1000 m3 0 0
8.1.C Coniferous 1000 m3 12.474 34.713 9 9 8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3 87.371 83.073 9 9 8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3 0.165 0.165 9 9 8.1.NC.T of which: Tropical 1000 m3 OK OK
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 7,211.123 6,987.620 9 9 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 1,451.673 1,230.209 9 9 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK
8.3 FIBREBOARD 1000 m3 5,744.575 5,607.131 9 9 8.3 FIBREBOARD 1000 m3 0 0
8.3.1 HARDBOARD 1000 m3 2,452.534 2,349.505 9 9 8.3.1 HARDBOARD 1000 m3
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 1,509.674 1,453.596 9 9 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3
8.3.3 OTHER FIBREBOARD 1000 m3 1,782.367 1,804.030 9 9 8.3.3 OTHER FIBREBOARD 1000 m3
9 WOOD PULP 1000 mt 2,432.000 2,398.000 9 9 9 WOOD PULP 1000 mt 0 0
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 795.000 813.000 9 9 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt
9.2 CHEMICAL WOOD PULP 1000 mt 1,637.000 1,585.000 9 9 9.2 CHEMICAL WOOD PULP 1000 mt 0 0
9.2.1 SULPHATE PULP 1000 mt 1,018.000 965.000 9 9 9.2.1 SULPHATE PULP 1000 mt
9.2.1.1 of which: BLEACHED 1000 mt 1,018.000 965.000 9 9 9.2.1.1 of which: BLEACHED 1000 mt OK OK
9.2.2 SULPHITE PULP 1000 mt 619.000 620.000 9 9 9.2.2 SULPHITE PULP 1000 mt
9.3 DISSOLVING GRADES 1000 mt 0 0 9 9 9.3 DISSOLVING GRADES 1000 mt
10 OTHER PULP 1000 mt 72.100 76.700 9 9 10 OTHER PULP 1000 mt 0 0
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 0 0 9 9 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt
10.2 RECOVERED FIBRE PULP 1000 mt 72.100 76.700 9 9 10.2 RECOVERED FIBRE PULP 1000 mt
11 RECOVERED PAPER 1000 mt 15,237.000 15,070.000 9 9 11 RECOVERED PAPER 1000 mt
12 PAPER AND PAPERBOARD 1000 mt 22,925.000 22,666.000 9 9 12 PAPER AND PAPERBOARD 1000 mt 0 0
12.1 GRAPHIC PAPERS 1000 mt 8,371.000 7,935.000 9 9 12.1 GRAPHIC PAPERS 1000 mt 0 0
12.1.1 NEWSPRINT 1000 mt 1,433.000 1,210.000 9 9 12.1.1 NEWSPRINT 1000 mt
12.1.2 UNCOATED MECHANICAL 1000 mt 1,976.000 2,046.000 9 9 12.1.2 UNCOATED MECHANICAL 1000 mt
12.1.3 UNCOATED WOODFREE 1000 mt 1,683.000 1,636.000 9 9 12.1.3 UNCOATED WOODFREE 1000 mt
12.1.4 COATED PAPERS 1000 mt 3,279.000 3,043.000 9 9 12.1.4 COATED PAPERS 1000 mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 1,513.000 1,508.000 9 9 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt
12.3 PACKAGING MATERIALS 1000 mt 11,639.000 11,844.000 9 9 12.3 PACKAGING MATERIALS 1000 mt 0 0
12.3.1 CASE MATERIALS 1000 mt 8,334.000 8,576.000 9 9 12.3.1 CASE MATERIALS 1000 mt
12.3.2 CARTONBOARD 1000 mt 1,806.000 1,765.000 9 9 12.3.2 CARTONBOARD 1000 mt
12.3.3 WRAPPING PAPERS 1000 mt 418.000 430.000 9 9 12.3.3 WRAPPING PAPERS 1000 mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 1,081.000 1,073.000 9 9 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 1,402.000 1,379.000 9 9 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt
m3ub = cubic metres underbark (i.e. excluding bark) m3ub = cubic metres underbark (i.e. excluding bark)
Aggregates directly reported:
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1 1000 mt 795.000 813.000
To fill: 0 0
Text: 1 1

JQ2 TTrade

61 62 61 62 91 92 91 92
FOREST SECTOR QUESTIONNAIRE JQ2 Country: DE Date: 0 both VALUE and quantity reported ZERO
Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported INTRA-EU The difference might be caused by Intra-EU trade
PRIMARY PRODUCTS Official Address (in full): 0 This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data! ZERO V Value ZERO when quantity is reported CHECK
Trade Telephone: 0 Fax: 0 This table highlights discrepancies between items and sub-items. Please verify your data for any non-zero figure! ZERO CHECK 1 - if no value please CHECK NO Q no quantity reported ZERO CHECK 2 - if no value in Zero Check 1
Value must always be in 1000 NAC (national currency) E-mail: 0 Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note Country: DE Country: DE NO V no value reported Treshold: 2 verifies whether the JQ2 figures refers only to intra-EU trade
Eurozone countries may use the old national currency, but only in both years 1000NAC Trade Discrepancies REPORT no figures reported
Product Unit of I M P O R T E X P O R T Import Export Import Export Product I M P O R T E X P O R T Product Apparent Consumption Related Notes Product Value per I M P O R T E X P O R T Column1 Column2 Product Value per I M P O R T E X P O R T
code Product quantity 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 code 2017 2018 2017 2018 code 2017 2018 2017 2018 code Product unit 2017 2018 2017 2018 IMPORT EXPORT code Product unit 2017 2018 2017 2018
Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 9,213 605,991 9,250 563,778 4,394 379,935 5,391 458,682 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 0 0 0 0 0 0 0 0 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 70,537 297,858 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 66 61 86 85 ACCEPT ACCEPT 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 430 39,376 425 36,804 135 6,455 139 7,813 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 0 0 0 0 0 0 0 0 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 22,684 54,795 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 92 87 48 56 ACCEPT ACCEPT 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3
1.1.C Coniferous 1000 m3ub 122 11,196 114 11,263 82 2,470 87 2,498 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub 8,472 16,861 1.1.C Coniferous NAC/m3 92 99 30 29 ACCEPT ACCEPT 1.1.C Coniferous NAC/m3
1.1.NC Non-Coniferous 1000 m3ub 308 28,180 311 25,541 53 3,985 52 5,315 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub 14,212 37,934 1.1.NC Non-Coniferous NAC/m3 91 82 76 102 ACCEPT ACCEPT 1.1.NC Non-Coniferous NAC/m3
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 8,783 566,615 8,825 526,974 4,259 373,480 5,253 450,869 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0 0 0 0 0 7.3E-12 0 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 47,852 243,063 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 65 60 88 86 ACCEPT ACCEPT 1.2 INDUSTRIAL ROUNDWOOD NAC/m3
1.2.C Coniferous 1000 m3ub 8,248 511,457 8,302 472,957 2,908 209,051 3,782 269,390 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 42,646 345,588 1.2.C Coniferous NAC/m3 62 57 72 71 ACCEPT ACCEPT 1.2.C Coniferous NAC/m3
1.2.NC Non-Coniferous 1000 m3ub 535 55,158 523 54,017 1,351 164,429 1,471 181,479 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 5,206 -102,525 1.2.NC Non-Coniferous NAC/mt 103 103 122 123 ACCEPT ACCEPT 1.2.NC Non-Coniferous NAC/mt
1.2.NC.T of which: Tropical 1000 m3ub 11.3 5,789 8 4,058 3 2,348 5 2,402 1.2.NC.T of which: Tropical 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical 1000 m3ub 8 3,441 1.2.NC.T of which: Tropical 1000 m3 514 508 774 518 ACCEPT ACCEPT 1.2.NC.T of which: Tropical 1000 m3
2 WOOD CHARCOAL 1000 mt 222 103,037 234 108,928 22 18,525 26 21,308 2 WOOD CHARCOAL 1000 mt 2 WOOD CHARCOAL 1000 mt 230 84,542 2 WOOD CHARCOAL 1000 m3 464 466 840 831 ACCEPT ACCEPT 2 WOOD CHARCOAL 1000 m3
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 2,156 70,478 1,998 68,024 2,558 118,238 2,613 122,749 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 0 0 0 0 0 0 0 0 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 13,829 -32,829 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 33 34 46 47 ACCEPT ACCEPT 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 1,353 44,171 1,244 39,817 1,832 77,976 1,910 79,699 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3 9,867 -23,202 3.1 WOOD CHIPS AND PARTICLES 1000 mt 33 32 43 42 ACCEPT ACCEPT 3.1 WOOD CHIPS AND PARTICLES 1000 mt
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 803 26,307 754 28,207 726 40,262 703 43,050 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3,961 -9,627 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt 33 37 55 61 ACCEPT ACCEPT 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt
4 RECOVERED POST-CONSUMER WOOD 1000 mt 1,071 36,510 990 35,631 692 43,391 707 37,096 4 RECOVERED POST-CONSUMER WOOD 1000 mt 4 RECOVERED POST-CONSUMER WOOD 1000 mt 6,980 -280 4 RECOVERED POST-CONSUMER WOOD 1000 mt 34 36 63 53 ACCEPT ACCEPT 4 RECOVERED POST-CONSUMER WOOD 1000 mt
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 742 108,129 737 119,293 525 122,788 664 157,674 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 0 0 0 0 0 0 0 0 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 2,646 -11,954 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3 146 162 234 237 ACCEPT ACCEPT 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3
5.1 WOOD PELLETS 1000 mt 432 69,220 390 69,065 490 112,066 620 144,584 5.1 WOOD PELLETS 1000 mt 5.1 WOOD PELLETS 1000 mt 2,192 -40,431 5.1 WOOD PELLETS NAC/m3 160 177 229 233 ACCEPT ACCEPT 5.1 WOOD PELLETS NAC/m3
5.2 OTHER AGGLOMERATES 1000 mt 311 38,909 347 50,228 35 10,722 44 13,090 5.2 OTHER AGGLOMERATES 1000 mt 5.2 OTHER AGGLOMERATES 1000 mt 454 28,477 5.2 OTHER AGGLOMERATES NAC/m3 125 145 308 296 ACCEPT ACCEPT 5.2 OTHER AGGLOMERATES NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 5,236 1,233,225 5,494 1,321,942 8,348 1,915,776 8,994 2,131,951 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 0 0 0 0 0 0 0 0 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 20,055 -658,808 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 236 241 229 237 ACCEPT ACCEPT 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3
6.C Coniferous 1000 m3 4,819 1,002,239 5,106 1,089,823 7,538 1,520,268 8,223 1,752,844 6.C Coniferous 1000 m3 6.C Coniferous 1000 m3 19,332 -495,419 6.C Coniferous NAC/m3 208 213 202 213 ACCEPT ACCEPT 6.C Coniferous NAC/m3
6.NC Non-Coniferous 1000 m3 417 230,986 388 232,119 811 395,508 771 379,107 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3 723 -163,389 6.NC Non-Coniferous NAC/m3 554 598 488 492 ACCEPT ACCEPT 6.NC Non-Coniferous NAC/m3
6.NC.T of which: Tropical 1000 m3 70 59,895 71 65,077 40 43,501 34 40,016 6.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical 1000 m3 30 16,394 6.NC.T of which: Tropical NAC/m3 860 914 1080 1167 ACCEPT ACCEPT 6.NC.T of which: Tropical NAC/m3
7 VENEER SHEETS 1000 m3 117 156,566 108 151,243 63 145,229 60 139,275 7 VENEER SHEETS 1000 m3 0 0 0 0 0 0 0 0 7 VENEER SHEETS 1000 m3 142 11,425 7 VENEER SHEETS NAC/m3 1338 1398 2287 2316 ACCEPT ACCEPT 7 VENEER SHEETS NAC/m3
7.C Coniferous 1000 m3 31 21,150 25 17,682 1 2,247 1 1,972 7.C Coniferous 1000 m3 7.C Coniferous 1000 m3 31 18,903 7.C Coniferous NAC/m3 675 701 4397 3424 ACCEPT ACCEPT 7.C Coniferous NAC/m3
7.NC Non-Coniferous 1000 m3 86 135,416 83 133,561 63 142,982 60 137,303 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3 111 -7,478 7.NC Non-Coniferous NAC/m3 1581 1609 2270 2305 ACCEPT ACCEPT 7.NC Non-Coniferous NAC/m3
7.NC.T of which: Tropical 1000 m3 10 10,627 10 12,837 3 11,842 3 10,537 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 ERROR:#VALUE! ERROR:#VALUE! 7.NC.T of which: Tropical NAC/m3 1038 1276 3616 3932 ACCEPT ACCEPT 7.NC.T of which: Tropical NAC/m3
8 WOOD-BASED PANELS 1000 m3 5,745 1,846,509 5,903 1,971,131 6,360 2,581,493 6,134 2,600,782 8 WOOD-BASED PANELS 1000 m3 0 0 0 0 0 0 0 0 8 WOOD-BASED PANELS 1000 m3 12,440 -722,271 8 WOOD-BASED PANELS NAC/m3 321 334 406 424 ACCEPT ACCEPT 8 WOOD-BASED PANELS NAC/m3
8.1 PLYWOOD 1000 m3 1,528 780,412 1,582 829,806 381 274,362 390 278,955 8.1 PLYWOOD 1000 m3 0 0 0 0 -0 0 -0 0 8.1 PLYWOOD 1000 m3 1,247 506,168 8.1 PLYWOOD NAC/m3 511 525 720 714 ACCEPT ACCEPT 8.1 PLYWOOD NAC/m3
8.1.C Coniferous 1000 m3 574 211,942 591 238,319 134 71,025 139 73,924 8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3 452 140,952 8.1.C Coniferous NAC/m3 370 403 531 533 ACCEPT ACCEPT 8.1.C Coniferous NAC/m3
8.1.NC Non-Coniferous 1000 m3 954 568,470 991 591,487 248 203,337 252 205,032 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3 794 365,216 8.1.NC Non-Coniferous NAC/m3 596 597 821 815 ACCEPT ACCEPT 8.1.NC Non-Coniferous NAC/m3
8.1.NC.T of which: Tropical 1000 m3 158 97,645 157 99,779 43 55,491 45 53,788 8.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical 1000 m3 115 42,154 8.1.NC.T of which: Tropical NAC/m3 618 634 1278 1193 ACCEPT ACCEPT 8.1.NC.T of which: Tropical NAC/m3
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 2,938 677,719 2,931 737,534 2,409 601,762 2,425 640,421 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 7,740 82,945 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 231 252 250 264 ACCEPT ACCEPT 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 762 167,619 840 220,626 520 118,190 512 136,422 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 1,694 50,659 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 220 263 227 266 ACCEPT ACCEPT 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3
8.3 FIBREBOARD 1000 m3 1,279 388,378 1,391 403,791 3,570 1,705,369 3,319 1,681,406 8.3 FIBREBOARD 1000 m3 0 0 0 0 0 0 0 0 8.3 FIBREBOARD 1000 m3 3,454 -1,311,384 8.3 FIBREBOARD NAC/m3 304 290 478 507 ACCEPT ACCEPT 8.3 FIBREBOARD NAC/m3
8.3.1 HARDBOARD 1000 m3 222 101,779 224 98,362 1,633 974,461 1,502 929,070 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3 1,041 -870,332 8.3.1 HARDBOARD NAC/mt 459 438 597 618 ACCEPT ACCEPT 8.3.1 HARDBOARD NAC/mt
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 492 215,986 509 226,349 1,545 692,493 1,558 722,351 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 457 -475,053 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt 439 444 448 464 ACCEPT ACCEPT 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt
8.3.3 OTHER FIBREBOARD 1000 m3 565 70,613 657 79,080 392 38,415 259 29,985 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3 1,956 34,002 8.3.3 OTHER FIBREBOARD NAC/mt 125 120 98 116 ACCEPT ACCEPT 8.3.3 OTHER FIBREBOARD NAC/mt
9 WOOD PULP 1000 mt 5,304 2,823,914 4,717 3,068,425 1,253 686,184 1,077 719,817 9 WOOD PULP 1000 mt 0 0 0 0 0 0 0 0 9 WOOD PULP 1000 mt 6,483 2,140,128 9 WOOD PULP NAC/mt 532 651 548 668 ACCEPT ACCEPT 9 WOOD PULP NAC/mt
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 165 87,565 168 101,100 107 43,238 100 46,984 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 853 45,140 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt 531 602 404 470 ACCEPT ACCEPT 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt
9.2 CHEMICAL WOOD PULP 1000 mt 4,694 2,358,512 4,131 2,617,024 1,127 622,413 963 657,193 9.2 CHEMICAL WOOD PULP 1000 mt 0 0 0 0 0 0 0 0 9.2 CHEMICAL WOOD PULP 1000 mt 5,204 1,737,684 9.2 CHEMICAL WOOD PULP NAC/mt 502 634 552 682 ACCEPT ACCEPT 9.2 CHEMICAL WOOD PULP NAC/mt
9.2.1 SULPHATE PULP 1000 mt 4,610 2,279,185 4,053 2,537,875 1,038 523,410 878 553,605 9.2.1 SULPHATE PULP 1000 mt 9.2.1 SULPHATE PULP 1000 mt 4,590 1,756,740 9.2.1 SULPHATE PULP NAC/mt 494 626 504 631 ACCEPT ACCEPT 9.2.1 SULPHATE PULP NAC/mt
9.2.1.1 of which: BLEACHED 1000 mt 4,498 2,223,763 3,924 2,467,924 1,029 518,282 871 549,073 9.2.1.1 of which: BLEACHED 1000 mt OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 mt 4,487 1,706,446 9.2.1.1 of which: BLEACHED NAC/mt 494 629 504 630 ACCEPT ACCEPT 9.2.1.1 of which: BLEACHED NAC/mt
9.2.2 SULPHITE PULP 1000 mt 84 79,327 78 79,149 89 99,003 85 103,588 9.2.2 SULPHITE PULP 1000 mt 9.2.2 SULPHITE PULP 1000 mt 614 -19,056 9.2.2 SULPHITE PULP NAC/mt 944 1015 1112 1219 ACCEPT ACCEPT 9.2.2 SULPHITE PULP NAC/mt
9.3 DISSOLVING GRADES 1000 mt 445 377,837 418 350,301 19 20,533 14 15,640 9.3 DISSOLVING GRADES 1000 mt 9.3 DISSOLVING GRADES 1000 mt 426 357,304 9.3 DISSOLVING GRADES NAC/mt 849 838 1081 1117 ACCEPT ACCEPT 9.3 DISSOLVING GRADES NAC/mt
10 OTHER PULP 1000 mt 98 29,225 109 29,042 111 53,064 135 62,670 10 OTHER PULP 1000 mt 0 0 0 0 0 0 0 0 10 OTHER PULP 1000 mt 59 -23,762 10 OTHER PULP NAC/mt 298 266 478 464 ACCEPT ACCEPT 10 OTHER PULP NAC/mt
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 16 24,429 16 23,010 1 725 1 767 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 15 23,704 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt 1527 1438 725 767 ACCEPT ACCEPT 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt
10.2 RECOVERED FIBRE PULP 1000 mt 82 4,796 93 6,032 110 52,339 134 61,903 10.2 RECOVERED FIBRE PULP 1000 mt 10.2 RECOVERED FIBRE PULP 1000 mt 44 -47,466 10.2 RECOVERED FIBRE PULP NAC/mt 58 65 476 462 ACCEPT ACCEPT 10.2 RECOVERED FIBRE PULP NAC/mt
11 RECOVERED PAPER 1000 mt 4,827 767,457 4,908 737,508 2,927 429,092 2,778 340,416 11 RECOVERED PAPER 1000 mt 11 RECOVERED PAPER 1000 mt 17,137 353,435 11 RECOVERED PAPER NAC/mt 159 150 147 123 ACCEPT ACCEPT 11 RECOVERED PAPER NAC/mt
12 PAPER AND PAPERBOARD 1000 mt 11,836 8,551,922 11,611 9,327,463 14,270 11,507,352 14,385 12,338,335 12 PAPER AND PAPERBOARD 1000 mt 0 0 0 0 0 0 0 0 12 PAPER AND PAPERBOARD 1000 mt 20,491 -2,932,764 12 PAPER AND PAPERBOARD NAC/mt 723 803 806 858 ACCEPT ACCEPT 12 PAPER AND PAPERBOARD NAC/mt
12.1 GRAPHIC PAPERS 1000 mt 5,559 3,490,134 5,211 3,740,379 5,955 4,269,503 5,678 4,415,723 12.1 GRAPHIC PAPERS 1000 mt 0 0 0 0 0 0 0 0 12.1 GRAPHIC PAPERS 1000 mt 7,975 -771,434 12.1 GRAPHIC PAPERS NAC/mt 628 718 717 778 ACCEPT ACCEPT 12.1 GRAPHIC PAPERS NAC/mt
12.1.1 NEWSPRINT 1000 mt 886 395,208 771 384,722 676 300,363 462 227,007 12.1.1 NEWSPRINT 1000 mt 12.1.1 NEWSPRINT 1000 mt 1,643 96,055 12.1.1 NEWSPRINT NAC/mt 446 499 444 491 ACCEPT ACCEPT 12.1.1 NEWSPRINT NAC/mt
12.1.2 UNCOATED MECHANICAL 1000 mt 767 464,829 691 458,019 976 497,774 1,042 569,920 12.1.2 UNCOATED MECHANICAL 1000 mt 12.1.2 UNCOATED MECHANICAL 1000 mt 1,768 -30,899 12.1.2 UNCOATED MECHANICAL NAC/mt 606 663 510 547 ACCEPT ACCEPT 12.1.2 UNCOATED MECHANICAL NAC/mt
12.1.3 UNCOATED WOODFREE 1000 mt 1,278 1,025,141 1,348 1,148,729 1,024 1,071,846 1,006 1,109,931 12.1.3 UNCOATED WOODFREE 1000 mt 12.1.3 UNCOATED WOODFREE 1000 mt 1,937 -45,069 12.1.3 UNCOATED WOODFREE NAC/mt 802 852 1046 1103 ACCEPT ACCEPT 12.1.3 UNCOATED WOODFREE NAC/mt
12.1.4 COATED PAPERS 1000 mt 2,627 1,604,956 2,401 1,748,908 3,279 2,399,520 3,168 2,508,864 12.1.4 COATED PAPERS 1000 mt 12.1.4 COATED PAPERS 1000 mt 2,626 -791,521 12.1.4 COATED PAPERS NAC/mt 611 728 732 792 ACCEPT ACCEPT 12.1.4 COATED PAPERS NAC/mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 681 936,511 651 956,259 725 1,281,899 719 1,312,745 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 1,468 -343,880 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt 1376 1470 1767 1825 ACCEPT ACCEPT 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt
12.3 PACKAGING MATERIALS 1000 mt 5,395 3,676,246 5,530 4,160,235 7,244 5,169,020 7,645 5,798,763 12.3 PACKAGING MATERIALS 1000 mt 0 0 0 0 0 0 0 0 12.3 PACKAGING MATERIALS 1000 mt 9,790 -1,480,930 12.3 PACKAGING MATERIALS NAC/mt 681 752 714 758 ACCEPT ACCEPT 12.3 PACKAGING MATERIALS NAC/mt
12.3.1 CASE MATERIALS 1000 mt 2,731 1,172,563 2,735 1,420,271 4,157 1,804,300 4,403 2,187,072 12.3.1 CASE MATERIALS 1000 mt 12.3.1 CASE MATERIALS 1000 mt 6,908 -623,161 12.3.1 CASE MATERIALS NAC/mt 429 519 434 497 ACCEPT ACCEPT 12.3.1 CASE MATERIALS NAC/mt
12.3.2 CARTONBOARD 1000 mt 1,424 1,411,320 1,461 1,487,578 2,092 2,352,647 2,086 2,399,160 12.3.2 CARTONBOARD 1000 mt 12.3.2 CARTONBOARD 1000 mt 1,138 -939,562 12.3.2 CARTONBOARD NAC/mt 991 1018 1125 1150 ACCEPT ACCEPT 12.3.2 CARTONBOARD NAC/mt
12.3.3 WRAPPING PAPERS 1000 mt 974 892,991 1,049 1,040,381 673 792,230 856 999,390 12.3.3 WRAPPING PAPERS 1000 mt 12.3.3 WRAPPING PAPERS 1000 mt 719 101,191 12.3.3 WRAPPING PAPERS NAC/mt 917 991 1177 1167 ACCEPT ACCEPT 12.3.3 WRAPPING PAPERS NAC/mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 267 199,372 284 212,005 323 219,843 300 213,142 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 1,025 -19,398 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt 748 746 682 712 ACCEPT ACCEPT 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 201 449,031 219 470,590 345 786,930 343 811,104 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 1,258 -336,520 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt 2236 2148 2283 2365 ACCEPT ACCEPT 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt
m3ub = cubic metres underbark (i.e. excluding bark)
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1 1000 mt 181.000 111994.000 184.000 124110.000 108.000 43963.000 101.000 47751.000
To fill: 0 0 0 0 0 0 0 0
Text: 0 0 0 0 0 0 0 0

JQ3 SPW

62 91 91
Country: DE Date: Country:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ3 0
SECONDARY PROCESSED PRODUCTS Telephone/Fax: 0 0
Trade E-mail: 0
This table highlights discrepancies between items and sub-items. Please verify your data for any non-zero figure!
Vaue must always be in 1000 NAC (national currency) Flag Flag Flag Flag Note Note Note Note Discrepancies
Eurozone countries may use the old national currency, but only in both years 1000NAC
Product Product I M P O R T V A L U E E X P O R T V A L U E Import Export Import Export Product Product I M P O R T V A L U E E X P O R T V A L U E
code 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 Code 2017 2018 2017 2018
13 SECONDARY WOOD PRODUCTS 7,983,102 8,082,697 7,075,314 7,166,523 13 SECONDARY WOOD PRODUCTS 0 0 0 0
13.1 FURTHER PROCESSED SAWNWOOD 237,763 233,960 206,802 219,711 13.1 FURTHER PROCESSED SAWNWOOD 0 0 0 0
13.1.C Coniferous 103,011 107,843 139,243 157,504 13.1.C Coniferous
13.1.NC Non-coniferous 134,752 126,117 67,559 62,207 13.1.NC Non-coniferous
13.1.NC.T of which: Tropical 60,745 54,559 7,352 6,925 13.1.NC.T of which: Tropical OK OK OK OK
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 523,714 545,683 311,266 342,773 13.2 WOODEN WRAPPING AND PACKAGING MATERIAL
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 271,668 287,544 119,509 133,832 13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD 1,052,215 1,113,288 1,184,908 1,148,251 13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD
13.5 WOODEN FURNITURE 5,044,787 4,988,962 4,718,674 4,741,819 13.5 WOODEN FURNITURE
13.6 PREFABRICATED BUILDINGS OF WOOD 170,424 193,661 111,496 118,801 13.6 PREFABRICATED BUILDINGS OF WOOD
13.7 OTHER MANUFACTURED WOOD PRODUCTS 682,531 719,599 422,659 461,336 13.7 OTHER MANUFACTURED WOOD PRODUCTS
14 SECONDARY PAPER PRODUCTS 3,802,419 3,845,057 7,270,517 7,591,116 14 SECONDARY PAPER PRODUCTS 0 0 0 0
14.1 COMPOSITE PAPER AND PAPERBOARD 49,542 51,413 87,127 84,407 14.1 COMPOSITE PAPER AND PAPERBOARD
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 547,351 565,952 1,540,528 1,687,106 14.2 SPECIAL COATED PAPER AND PULP PRODUCTS
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 784,640 825,389 1,164,564 1,221,146 14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4 PACKAGING CARTONS, BOXES ETC. 1,358,040 1,347,443 2,829,112 2,902,945 14.4 PACKAGING CARTONS, BOXES ETC.
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 1,062,846 1,054,860 1,649,186 1,695,512 14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE OK OK OK OK
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE 25,767 23,365 69,962 68,607 14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 75,958 73,894 50,607 48,106 14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 49,640 39,836 182,928 186,973 14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
To fill: 0 0 0 0
Text: 0 0 0 0

LAM & CHIPS

Unit of quantity: 1000 m3
Year Product Flow Year App. Cons. Unit price
Production Total Export Total Import Extra-EU Export Extra-EU Import TOT EXP TOT IMP X-EU EXP X-EU IMP
1000 m3 1000 m3 1000 NAC 1000 m3 1000 NAC 1000 m3 1000 NAC 1000 m3 1000 NAC 1000 m3
2017 Glulam 1,200 303.0287970385 378673 256.0424020491 310248 123.0314977259 153951 33.935999791 51521 2017 1153.0136050106 1249.6271103632 1211.7055515692 1251.3137110874 1518.1812917644
2018 289.8065022645 366951 272.5906044191 332787 110.7664018693 142504 30.7227997529 50875 2018 -17.2158978454 1266.1931224202 1220.8307792161 1286.5273006531 1655.9363212072
2017 X-lam 200 372.1213994235 304241 499.7422992845 527680 39.0037000064 64311 133.2810986338 200328 2017 327.620899861 817.585337665 1055.9042145432 1648.8435709818 1503.0488347818
2018 406.615000301 341990 530.5963990949 559898 44.0608007724 73018 141.9026974431 206144 2018 123.9813987939 841.0658725006 1055.2238970243 1657.2100079898 1452.7137518489

Definitions: Glulam: Builders' carpentry also includes glue-laminated timber (glulam), which is a structural timber product obtained by gluing together a number of wood laminations having their grain essentially parallel. Laminations of curved members are arranged so that the plane of each lamination is at 90 degrees to the plane of the applied load; thus, laminations of a straight gluman beam are laid flat. [from HS 4418, Builders' joinery and carpentry of wood, including cellular wood panels, assembled flooring panels, shingles and shakes] X-lam: Panels consisting of laths of roughly sawn wood, assembled with glue in order to facilitate transport or later working. [from HS4421, Other articles of wood]

ECE-EU Species

Country: DE Date:
Name of Official responsible for reply: 0 DISCREPANCIES - please note cells with notes and review data
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade Official Address (in full): Checks Check Table
0 0 both VALUE and quantity reported ZERO
Trade in Roundwood and Sawnwood by species Telephone: 0 Fax: 0 - checks whether subitems are bigger than the total ZERO Q quantity ZERO when VALUE is reported
E-mail: 0 ZERO V Value ZERO when quantity is reported
Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC ( national currency) Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000NAC REPORT no figures reported
I M P O R T E X P O R T Import Export Import Export I M P O R T E X P O R T Value per I M P O R T E X P O R T Unit price check
Product Classification Classification Unit of 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 Classification Classification unit 2017 2018 2017 2018 IMPORT EXPORT
Code HS2017 CN2017 Product Quantity Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value HS2007 CN2007 Product
1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous 1000 m3ub 8,247.709 511,457.000 8,301.870 472,957.000 2,907.548 209,051.000 3,781.902 269,390.000 OK OK OK OK OK OK OK OK 4403.11/21/22/23/24/25/26 0 NAC/m3 62 57 72 71 ACCEPT ACCEPT PRODUCTION I M P O R T E X P O R T
ex4403.11 Fir/Spruce (Abies spp., Picea spp.) 1000 m3ub 5,145.648 355,316.000 4,923.005 313,536.000 2,120.666 151,900.000 2,926.613 211,739 OK OK OK OK OK OK OK OK ex4403.11 Fir/Spruce (Abies spp., Picea spp.) NAC/m3 69 64 72 72 ACCEPT ACCEPT Product Classification Classification Unit of 2017 2018 2017 2018 2017 2018
4403.23/24 4403 23 10 sawlogs and veneer logs 1000 m3ub 3,614.713 276,803.000 3,460.291 249,171.000 1,478.788 111,556.000 2,175.895 164,977.000 4403.23/24 4403 23 10 sawlogs and veneer logs (Abies alba, Picea abies) NAC/m3 77 72 75 76 ACCEPT ACCEPT Code HS2007 CN2007 Product Quantity Quantity Quantity Quantity Value Quantity Value Quantity Value Quantity Value
ex4403 11 00 4403 23 90 4403 24 00 pulpwood and other industrial roundwood 1000 m3ub 1,530.935 78,513.000 1,462.714 64,365.000 641.878 40,344.000 750.718 46,762.000 ex4403 11 00 4403 23 90 4403 24 00 pulpwood and other industrial roundwood (Abies alba, Picea abies) NAC/m3 51 44 63 62 ACCEPT ACCEPT 1 4401.11/12 44.03 Roundwood production 1000 m3 JQ1 0 0
ex4403.11 Pine (Pinus spp.) 1000 m3ub 2,543.136 126,065.000 2,829.062 129,401.000 569.764 37,344.000 549.616 34,615.000 OK OK OK OK OK OK OK OK ex4403.11 Pine (Pinus spp.) NAC/m3 50 46 66 63 ACCEPT ACCEPT EU2 0 0
4403.21/22 4403 21 10 sawlogs and veneer logs 1000 m3ub 917.717 63,103.000 896.579 62,149.000 379.772 27,564.000 340.516 24,075.000 4403.21/22 4403 21 10 sawlogs and veneer logs (Pinus sylvestris) NAC/m3 69 69 73 71 ACCEPT ACCEPT dif 0 0
ex4403 11 00 4403 21 90 4403 22 00 pulpwood and other industrial roundwood 1000 m3ub 1,625.419 62,962.000 1,932.483 67,252.000 189.992 9,780.000 209.100 10,540.000 ex4403 11 00 4403 21 90 4403 22 00 pulpwood and other industrial roundwood (Pinus sylvestris) NAC/m3 39 35 51 50 ACCEPT ACCEPT 1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood (wood in the rough), Coniferous 1000 m3 JQ2 8,248 511,457 8,302 472,957 2,908 209,051 3,782 269,390
ex4403.11 Other / Non-specified 1000 m3ub 492.895 23,575.000 540.504 26,491.000 207.783 16,374.000 299.325 20,744.000 OK OK OK OK OK OK OK OK ex4403.11 Other / Non-specified NAC/m3 48 49 79 69 ACCEPT ACCEPT ECE/EU 8,248 511,457 8,302 472,957 2,908 209,051 3,782 269,390
4403.25/26 4403 25 10 sawlogs and veneer logs 1000 m3ub 163.058 11,031.000 120.790 8,101.000 134.805 12,353.000 196.999 14,513.000 4403.25/26 4403 25 10 sawlogs and veneer logs NAC/m3 68 67 92 74 ACCEPT ACCEPT dif 0 0 0 0 0 0 0 0
ex4403 11 00 4403 25 90 4403 26 00 pulpwood and other industrial roundwood 1000 m3ub 329.837 12,544.000 419.714 18,390.000 72.978 4,021.000 102.326 6,231.000 ex4403 11 00 4403 25 90 4403 26 00 pulpwood and other industrial roundwood NAC/m3 38 44 55 61 ACCEPT ACCEPT 1.2.NC 4403.12/41/49/91/93/94/95/96/97/98/99 Industrial Roundwood (wood in the rough), Non-Coniferous 1000 m3 JQ2 535 55,158 523 54,017 1,351 164,429 1,471 181,479
1.2.NC 4403.12/41/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous 1000 m3ub 534.920 55,158.000 523.450 54,017.000 1,351.356 164,429.000 1,470.734 181,479.000 OK OK OK OK OK OK OK OK 4403.12/41/49/91/93/94 4403.95/96/97/98/99 0 NAC/m3 103 103 122 123 ACCEPT ACCEPT ECE/EU 535 55,158 523 54,017 1,351 164,429 1,471 181,479
ex4403.12 4403.91 of which: Oak (Quercus spp.) 1000 m3ub 64.055 13,496.000 47.674 12,600.000 195.857 36,549.000 248.365 44,986.000 ex4403.12 4403.91 of which: Oak (Quercus spp.) NAC/m3 211 264 187 181 ACCEPT ACCEPT dif 0 0 0 0 0 0 0 0
ex4403.12 4403.93/94 of which: Beech (Fagus spp.) 1000 m3ub 93.819 4,438.000 109.760 5,114.000 846.241 89,627.000 849.978 94,865.000 ex4403.12 4403.93/94 of which: Beech (Fagus spp.) NAC/m3 47 47 106 112 ACCEPT ACCEPT 6.C 4406.11/91 4407.11/12/19 Sawnwood, Coniferous 1000 m3 JQ2 4,819 1,002,239 5,106 1,089,823 7,538 1,520,268 8,223.1 1,752,844
ex4403.12 of which: Birch (Betula spp.) 1000 m3ub 105.652 4,200.000 64.674 3,898.000 10.728 529.000 59.717 3,680.000 OK OK OK OK OK OK OK OK ex4403.12 of which: Birch (Betula spp.) NAC/m3 40 60 49 62 ACCEPT ACCEPT ECE/EU 4,819 1,002,239 5,106 1,089,823 7,538 1,520,268 8,223.1 1,752,844
4403.95/96 4403 95 10 sawlogs and veneer logs 1000 m3ub 0.077 10.000 0.019 98.000 1.088 61.000 0.094 30.000 4403.95/96 4403 95 10 sawlogs and veneer logs NAC/m3 130 5158 56 319 CHECK CHECK dif 0 0 0 0 0 0 0 0
ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood 1000 m3ub 105.575 4,190.000 64.655 3,800.000 9.640 468.000 59.623 3,650.000 ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood NAC/m3 40 59 49 61 ACCEPT ACCEPT 6.NC 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 JQ2 417 230,986 388 232,119 810.7 395,508 770.8 379,107
ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) 1000 m3ub 77.243 2,580.000 67.083 2,586.000 40.339 2,692.000 23.769 1,516.000 ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 33 39 67 64 ACCEPT ACCEPT ECE/EU 417 230,986 388 232,119 810.7 395,508 770.8 379,107
ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) 1000 m3ub 0.842 732.000 0.873 885.000 0.000 1.000 0.000 1.000 ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) NAC/m3 869 1014 ZERO Q ZERO Q ACCEPT CHECK dif 0 0 0 0 -0 0 -0 0
6.C 4406.11/91 4407.11/12/19 Sawnwood, Coniferous 1000 m3 4,819.193 1,002,239.000 5,106.065 1,089,823.000 7,537.694 1,520,268.000 8,223.141 1,752,844.000 OK OK OK OK OK OK OK OK 4406.11/91 4407.11/12/19 Sawnwood, Coniferous NAC/m3 208 213 202 213 ACCEPT ACCEPT
ex4406.11/91 4407.12 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3 3,316.043 690,263.000 3,506.135 759,759.000 4,900.540 1,009,349.000 5,512.555 1,186,597.000 ex4406.11/91 4407.12 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 208 217 206 215 ACCEPT ACCEPT
ex4406.11/91 4407.11 of which: Pine (Pinus spp.) 1000 m3 986.512 171,093.000 1,035.313 174,601.000 1,844.988 355,662.000 1,917.092 394,756.000 ex4406.11/91 4407.11 of which: Pine (Pinus spp.) NAC/m3 173 169 193 206 ACCEPT ACCEPT OK OK
6.NC 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 416.624 230,986.000 387.874 232,119.000 810.748 395,508.000 770.780 379,107.000 OK OK OK OK OK OK OK OK 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous NAC/m3 554 598 488 492 ACCEPT ACCEPT OK OK OK OK OK OK OK OK
ex4406.12/92 4407.91 of which: Oak (Quercus spp.) 1000 m3 119.845 95,696.000 106.011 89,088.000 144.608 95,158.000 129.140 88,929.000 ex4406.12/92 4407.91 of which: Oak (Quercus spp.) NAC/m3 798 840 658 689 ACCEPT ACCEPT OK OK OK OK OK OK OK OK
ex4406.12/92 4407.92 of which: Beech (Fagus spp.) 1000 m3 22.758 9,667.000 23.855 10,132.000 556.577 217,750.000 532.003 209,011.000 ex4406.12/92 4407.92 of which: Beech (Fagus spp.) NAC/m3 425 425 391 393 ACCEPT ACCEPT OK OK OK OK OK OK WRONG OK
ex4406.12/92 4407.93 of which: Maple (Acer spp.) 1000 m3 3.551 2,959.000 3.628 3,089.000 3.865 2,691.000 2.626 2,177.000 ex4406.12/92 4407.93 of which: Maple (Acer spp.) NAC/m3 833 851 696 829 ACCEPT ACCEPT OK OK OK OK WRONG OK WRONG OK
ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) 1000 m3 1.303 1,145.000 1.202 1,051.000 0.355 346.000 0.491 443.000 ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) NAC/m3 879 874 975 902 ACCEPT ACCEPT
ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) 1000 m3 11.660 5,752.000 12.333 6,230.000 24.489 9,731.000 32.873 12,521.000 ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) NAC/m3 493 505 397 381 ACCEPT ACCEPT
ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) 1000 m3 17.911 2,550.000 19.339 2,800.000 4.512 875.000 3.495 732.000 ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 142 145 194 209 ACCEPT ACCEPT
ex4406.12/92 4407.96 of which: Birch (Betula spp.) 1000 m3 46.467 6,401.000 15.825 2,212.000 0.923 362.000 1.316 283.000 ex4406.12/92 4407.96 of which: Birch (Betula spp.) NAC/m3 138 140 392 215 ACCEPT ACCEPT
Light blue cells are requested only for EU members using the Combined Nomenclature to fill in - other countries are welcome to do so if their trade classification nomenclature permits
"ex" codes indicate that only part of that trade classication code is used
Please note that information on tropical species trade is requested in questionnaire ITTO2 for ITTO member countries To fill: 0 0 0 0 0 0 0 0
m3ub = cubic metres underbark (i.e. excluding bark) Text: 0 0 0 0 0 0 0 0

EU1 ExtraEU Trade

EU1 Country: DE Date: JQ2/EU1 comparison 0 both VALUE and quantity reported ZERO
Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported
FOREST SECTOR QUESTIONNAIRE Official Address (in full): 0 JQ2>=EU1 ZERO V Value ZERO when quantity is reported
Trade with countries outside EU Telephone: 0 Fax: 0 if not 0, please verify !!! Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC (national currency) E-mail: 0 Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note Country: DE NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000NAC Trade Discrepancies REPORT no figures reported
Product Unit of I M P O R T E X P O R T Import Export Import Export I M P O R T E X P O R T Product I M P O R T E X P O R T Product Value per I M P O R T E X P O R T Column1 Column2
code Product quantity 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 2017 2018 code 2017 2018 2017 2018 code Product unit 2017 2018 2017 2018 IMPORT EXPORT
Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 1,129.098 100,884.000 875.686 84,885.000 883.455 131,168.000 1,258.392 177,191 OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 0 0 0 0 0 0 0 0 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 89 97 148 141 ACCEPT CHECK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 157.293 15,596.000 149.719 16,040.000 3.162 853.000 3.382 1,087 OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 0 0 0 0 0 0 0 0 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 99 107 270 321 CHECK CHECK
1.1.C Coniferous 1000 m3ub 17.743 1,525.000 14.557 1,547.000 0.004 5.000 0.023 21 OK OK OK OK OK OK OK OK 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous NAC/m3 86 106 1250 913 CHECK CHECK
1.1.NC Non-Coniferous 1000 m3ub 139.550 14,071.000 135.162 14,493.000 3.158 848.000 3.359 1,066 OK OK OK OK OK OK OK OK 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous NAC/m3 101 107 269 317 CHECK CHECK
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 971.805 85,288.000 725.967 68,845.000 880.293 130,315.000 1,255.010 176,104 OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0 0 0 0 0 0 0 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 88 95 148 140 ACCEPT CHECK
1.2.C Coniferous 1000 m3ub 920.363 64,465.000 650.634 49,166.000 173.524 17,605.000 548.498 52,213 OK OK OK OK OK OK OK OK 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous NAC/m3 70 76 101 95 ACCEPT CHECK
1.2.NC Non-Coniferous 1000 m3ub 51.442 20,823.000 75.333 19,679.000 706.769 112,710.000 706.512 123,891 OK OK OK OK OK OK OK OK 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous NAC/mt 405 261 159 175 ACCEPT CHECK
1.2.NC.T of which: Tropical 1000 m3ub 11.259 5,789.000 7.992 4,058.000 0.243 588.000 0.189 709 OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical NAC/m3 514 508 2420 3751 CHECK CHECK
2 WOOD CHARCOAL 1000 mt 112.030 48,700.000 103.797 48,726.000 3.058 2,548.000 3.575 3,258 OK OK OK OK OK OK OK OK 2 WOOD CHARCOAL 1000 mt 2 WOOD CHARCOAL NAC/m3 435 469 833 911 ACCEPT CHECK
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 60.496 1,790.000 30.450 981.000 299.191 19,408.000 328.264 23,779 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 0 0 0 0 0 0 0 0 3 WOOD CHIPS, PARTICLES AND RESIDUES NAC/m3 30 32 65 72 CHECK CHECK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 36.139 1,191.000 26.710 819.000 221.796 13,132.000 220.268 14,108 OK OK OK OK OK OK OK OK 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES NAC/mt 33 31 59 64 ACCEPT CHECK
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 24.357 599.000 3.740 162.000 77.395 6,276.000 107.996 9,671 OK OK OK OK OK OK OK OK 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) NAC/mt 25 43 81 90 ACCEPT CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 mt 128.583 2,605.000 158.470 3,475.000 39.922 8,164.000 24.349 4,805 OK OK OK OK OK OK OK OK 4 RECOVERED POST-CONSUMER WOOD 1000 mt 4 RECOVERED POST-CONSUMER WOOD NAC/mt 20 22 204 197 CHECK CHECK
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 188.019 22,225.000 190.344 26,385.000 60.010 24,377.000 67.384 26,960 OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 mt 0 0 0 0 0 0 0 0 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3 118 139 406 400 CHECK CHECK
5.1 WOOD PELLETS 1000 mt 71.537 8,556.000 48.540 6,592.000 47.298 18,508.000 54.605 21,047 OK OK OK OK OK OK OK OK 5.1 WOOD PELLETS 1000 mt 5.1 WOOD PELLETS NAC/m3 120 136 391 385 CHECK CHECK
5.2 OTHER AGGLOMERATES 1000 mt 116.482 13,669.000 141.804 19,793.000 12.712 5,869.000 12.779 5,913 OK OK OK OK OK OK OK OK 5.2 OTHER AGGLOMERATES 1000 mt 5.2 OTHER AGGLOMERATES NAC/m3 117 140 462 463 CHECK CHECK
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 1,748.146 396,786.000 1,940.771 445,359.000 2,976.688 759,572.000 3,467.992 890,962 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 0 0 0 0 0 0 0 0 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 227 229 255 257 ACCEPT CHECK
6.C Coniferous 1000 m3 1,551.434 277,416.000 1,760.147 324,436.000 2,483.756 541,814.000 2,985.836 676,065 OK OK OK OK OK OK OK OK 6.C Coniferous 1000 m3 6.C Coniferous NAC/m3 179 184 218 226 ACCEPT CHECK
6.NC Non-Coniferous 1000 m3 196.712 119,370.000 180.624 120,923.000 492.932 217,758.000 482.156 214,897 OK OK OK OK OK OK OK OK 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous NAC/m3 607 669 442 446 ACCEPT CHECK
6.NC.T of which: Tropical 1000 m3 63.047 53,969.000 65.468 59,590.000 11.426 13,790.000 10.042 13,113 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical NAC/m3 856 910 1207 1306 ACCEPT CHECK
7 VENEER SHEETS 1000 m3 42.836 58,553.000 37.927 50,693.000 15.514 50,893.000 15.876 51,703 OK OK OK OK OK OK OK OK 7 VENEER SHEETS 1000 m3 0 0 0 0 0 0 0 0 7 VENEER SHEETS NAC/m3 1367 1337 3280 3257 CHECK CHECK
7.C Coniferous 1000 m3 5.862 9,236.000 4.896 7,520.000 0.163 972.000 0.086 711 OK OK OK OK OK OK OK OK 7.C Coniferous 1000 m3 7.C Coniferous NAC/m3 1576 1536 5963 8267 CHECK CHECK
7.NC Non-Coniferous 1000 m3 36.974 49,317.000 33.031 43,173.000 15.351 49,921.000 15.790 50,992 OK OK OK OK OK OK OK OK 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous NAC/m3 1334 1307 3252 3229 CHECK CHECK
7.NC.T of which: Tropical 1000 m3 8.102 5,540.000 7.907 7,217.000 1.366 4,487.000 1.248 4,086 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical NAC/m3 684 913 3285 3274 CHECK CHECK
8 WOOD-BASED PANELS 1000 m3 1,119.444 414,297.000 1,206.217 455,951.000 1,664.429 809,898.000 1,576.770 777,233 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 0 0 0 0 0 0 0 0 8 WOOD-BASED PANELS NAC/m3 370 378 487 493 ACCEPT CHECK
8.1 PLYWOOD 1000 m3 674.524 257,368.000 762.527 302,174.000 104.263 84,494.000 99.163 78,524 OK OK OK OK OK OK OK OK 8.1 PLYWOOD 1000 m3 0 0 0 0 0 0 0 0 8.1 PLYWOOD NAC/m3 382 396 810 792 CHECK CHECK
8.1.C Coniferous 1000 m3 296.403 76,722.500 326.906 95,444.500 70.113 41,280.000 68.827 41,386 OK OK OK OK OK OK OK OK 8.1.C Coniferous 1000 m3 8.1.C Coniferous NAC/m3 259 292 589 601 CHECK CHECK
8.1.NC Non-Coniferous 1000 m3 378.121 180,645.500 435.621 206,729.500 34.150 43,214.000 30.336 37,138 OK OK OK OK OK OK OK OK 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous NAC/m3 478 475 1265 1224 CHECK CHECK
8.1.NC.T of which: Tropical 1000 m3 44.526 27,823.000 45.567 29,425.000 4.330 6,690.000 2.496 5,028 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical NAC/m3 625 646 1545 2014 CHECK CHECK
8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 220.748 59,142.000 208.255 57,047.000 448.070 122,234.000 433.222 125,538 OK OK OK OK OK OK OK OK 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 268 274 273 290 ACCEPT CHECK
8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 5.456 1,027.000 6.821 1,452.000 189.362 46,396.000 180.911 49,564 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 188 213 245 274 ACCEPT CHECK
8.3 FIBREBOARD 1000 m3 224.172 97,787.000 235.435 96,730.000 1,112.096 603,170.000 1,044.385 573,171 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 0 0 0 0 0 0 0 0 8.3 FIBREBOARD NAC/m3 436 411 542 549 ACCEPT CHECK
8.3.1 HARDBOARD 1000 m3 27.067 19,966.000 25.038 18,298.000 663.998 407,999.000 593.864 370,943 OK OK OK OK OK OK OK OK 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD NAC/mt 738 731 614 625 ACCEPT CHECK
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 123.413 65,852.000 132.068 68,488.000 299.373 178,585.000 332.799 188,438 OK OK OK OK OK OK OK OK 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt 534 519 597 566 ACCEPT CHECK
8.3.3 OTHER FIBREBOARD 1000 m3 73.692 11,969.000 78.329 9,944.000 148.725 16,586.000 117.722 13,790 OK OK OK OK OK OK OK OK 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD NAC/mt 162 127 112 117 ACCEPT CHECK
9 WOOD PULP 1000 mt 2,100 1,117,804 1,867 1,214,590 496 271,616 426 284,929 OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 mt 0 0 0 0 0 0 0 0 9 WOOD PULP NAC/mt 532 651 548 668 ACCEPT CHECK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 65 34,661 67 40,019 42 17,115 40 18,598 OK OK OK OK OK OK OK OK 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 mt 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt 531 602 404 470 ACCEPT CHECK
9.2 CHEMICAL WOOD PULP 1000 mt 1,858 933,582 1,635 1,035,910 446 246,373 381 260,140 OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 mt 0 0 0 0 0 0 0 0 9.2 CHEMICAL WOOD PULP NAC/mt 502 634 552 682 ACCEPT CHECK
9.2.1 SULPHATE PULP 1000 mt 1,825 902,181 1,604 1,004,580 411 207,184 348 219,136 OK OK OK OK OK OK OK OK 9.2.1 SULPHATE PULP 1000 mt 9.2.1 SULPHATE PULP NAC/mt 494 626 504 631 ACCEPT CHECK
9.2.1.1 of which: BLEACHED 1000 mt 1,780 880,243 1,553 976,891 407 205,154 345 217,342 OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 mt OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED NAC/mt 494 629 504 630 ACCEPT CHECK
9.2.2 SULPHITE PULP 1000 mt 33 31,400 31 31,330 35 39,189 34 41,004 OK OK OK OK OK OK OK OK 9.2.2 SULPHITE PULP 1000 mt 9.2.2 SULPHITE PULP NAC/mt 944 1015 1112 1219 ACCEPT CHECK
9.3 DISSOLVING GRADES 1000 mt 176 149,561 165 138,661 8 8,128 6 6,191 OK OK OK OK OK OK OK OK 9.3 DISSOLVING GRADES 1000 mt 9.3 DISSOLVING GRADES NAC/mt 849 838 1081 1117 ACCEPT CHECK
10 OTHER PULP 1000 mt 39 11,568 43 11,496 44 21,005 53 24,807 OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 mt 0 0 0 0 0 0 0 0 10 OTHER PULP NAC/mt 298 266 478 464 ACCEPT CHECK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 6 9,670 6 9,108 0 287 0 304 OK OK OK OK OK OK OK OK 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 mt 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt 1527 1438 725 767 ACCEPT CHECK
10.2 RECOVERED FIBRE PULP 1000 mt 32 1,898 37 2,388 44 20,718 53 24,503 OK OK OK OK OK OK OK OK 10.2 RECOVERED FIBRE PULP 1000 mt 10.2 RECOVERED FIBRE PULP NAC/mt 58 65 476 462 CHECK CHECK
11 RECOVERED PAPER 1000 mt 1,911 303,786 1,943 291,931 1,159 169,850 1,100 134,749 OK OK OK OK OK OK OK OK 11 RECOVERED PAPER 1000 mt 11 RECOVERED PAPER NAC/mt 159 150 147 123 ACCEPT CHECK
12 PAPER AND PAPERBOARD 1000 mt 1,243 934,789 1,283 1,071,402 2,894 2,433,895 2,941 2,630,460 OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 mt 0 0 0 0 0 0 0 0 12 PAPER AND PAPERBOARD NAC/mt 752 835 841 894 ACCEPT CHECK
12.1 GRAPHIC PAPERS 1000 mt 584 381,498 576 429,640 1,208 903,033 1,161 941,406 OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 mt 0 0 0 0 0 0 0 0 12.1 GRAPHIC PAPERS NAC/mt 653 746 748 811 ACCEPT CHECK
12.1.1 NEWSPRINT 1000 mt 93 43,199 85 44,191 137 63,529 94 48,397 OK OK OK OK OK OK OK OK 12.1.1 NEWSPRINT 1000 mt 12.1.1 NEWSPRINT NAC/mt 464 519 463 512 ACCEPT CHECK
12.1.2 UNCOATED MECHANICAL 1000 mt 81 50,809 76 52,611 198 105,283 213 121,504 OK OK OK OK OK OK OK OK 12.1.2 UNCOATED MECHANICAL 1000 mt 12.1.2 UNCOATED MECHANICAL NAC/mt 630 689 532 570 ACCEPT CHECK
12.1.3 UNCOATED WOODFREE 1000 mt 134 112,056 149 131,949 208 226,704 206 236,631 OK OK OK OK OK OK OK OK 12.1.3 UNCOATED WOODFREE 1000 mt 12.1.3 UNCOATED WOODFREE NAC/mt 835 886 1091 1151 ACCEPT CHECK
12.1.4 COATED PAPERS 1000 mt 276 175,434 265 200,889 665 507,517 648 534,875 OK OK OK OK OK OK OK OK 12.1.4 COATED PAPERS 1000 mt 12.1.4 COATED PAPERS NAC/mt 636 757 763 826 ACCEPT CHECK
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 71 102,368 72 109,841 147 271,132 147 279,870 OK OK OK OK OK OK OK OK 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 mt 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt 1432 1528 1843 1903 ACCEPT CHECK
12.3 PACKAGING MATERIALS 1000 mt 567 401,841 611 477,867 1,469 1,093,288 1,563 1,236,262 OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 mt 0 0 0 0 0 0 0 0 12.3 PACKAGING MATERIALS NAC/mt 709 782 744 791 ACCEPT CHECK
12.3.1 CASE MATERIALS 1000 mt 287 128,170 302 163,140 843 381,624 900 466,271 OK OK OK OK OK OK OK OK 12.3.1 CASE MATERIALS 1000 mt 12.3.1 CASE MATERIALS NAC/mt 447 540 453 518 ACCEPT CHECK
12.3.2 CARTONBOARD 1000 mt 150 154,268 161 170,871 424 497,603 427 511,487 OK OK OK OK OK OK OK OK 12.3.2 CARTONBOARD 1000 mt 12.3.2 CARTONBOARD NAC/mt 1032 1059 1173 1199 ACCEPT CHECK
12.3.3 WRAPPING PAPERS 1000 mt 102 97,611 116 119,504 136 167,563 175 213,064 OK OK OK OK OK OK OK OK 12.3.3 WRAPPING PAPERS 1000 mt 12.3.3 WRAPPING PAPERS NAC/mt 955 1031 1228 1217 ACCEPT CHECK
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 28 21,793 31 24,352 65 46,499 61 45,441 OK OK OK OK OK OK OK OK 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 mt 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt 778 776 711 742 ACCEPT CHECK
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 21 49,082 24 54,054 70 166,442 70 172,923 OK OK OK OK OK OK OK OK 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 mt 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt 2328 2234 2381 2466 ACCEPT CHECK
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1 1000 mt 71.646 44331.143 72.834 49127.080 42.750 17402.093 39.979 18901.516
To fill: 0 0 0 0 0 0 0 0
Text: 0 0 0 0 0 0 0 0

EU2 Removals

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EU2 Check Table
FOREST SECTOR QUESTIONNAIRE
Removals by type of ownership Discrepancies
Flag Flag Note Note
Product code Ownership Product code Ownership
Unit 2017 2018 2017 2018 2017 2018 Unit 2017 2018
Quantity Quantity Quantity Quantity
ROUNDWOOD REMOVALS (under bark) ROUNDWOOD REMOVALS
1 ROUNDWOOD 1000 m3 65,717.4 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1 ROUNDWOOD 1000 m3 -0 0
1.C Coniferous 1000 m3 45,739.0 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.C Coniferous 1000 m3 -0 0
1.NC Non-coniferous 1000 m3 19,978.4 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.NC Non-coniferous 1000 m3 -0 0
State forests 1000 m3 20,445.5 9 State forests 1000 m3 0.000 0.000
Coniferous 1000 m3 14,457.8 9 Coniferous 1000 m3
Non-coniferous 1000 m3 5,987.7 9 Non-coniferous 1000 m3
Other publicly owned forests 1000 m3 12,592.8 9 Other publicly owned forests 1000 m3 0.000 0.000
Coniferous 1000 m3 8,168.5 9 Coniferous 1000 m3
Non-coniferous 1000 m3 4,424.3 9 Non-coniferous 1000 m3
Private forest 1000 m3 32,679.1 9 Private forest 1000 m3 0.000 0.000
Coniferous 1000 m3 23,112.6 9 Coniferous 1000 m3
Non-coniferous 1000 m3 9,566.4 9 Non-coniferous 1000 m3
To fill: 0 12
Text: 0 0
Note:
Ownership categories correspond to those of the TBFRA.
State forests: Forests owned by national, state and regional governments, or government-owned corporations; Crown forests.
Other publicly owned forests: Forests belonging to cities, municipalities, villages and communes.
Private forests: Forests owned by individuals, co-operatives, enterprises and industries and other private institutions.
The unit should be solid cubic metres, under bark.

ITTO1-Estimates

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ITTO1
Telephone: 0 Fax: 0
FOREST SECTOR QUESTIONNAIRE E-mail: 0
Production and Trade Estimates for 2018
Value must always be in 1000 NAC (national currency) 1000 NAC
Product Unit of Production Imports Exports
Code Product quantity Quantity Quantity Value Quantity Value
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 49,928 8,825 526,974 5,253 450,869
1.2.C Coniferous 1000 m3ub 43,182 8,302 472,957 3,782 269,390
1.2.NC Non-Coniferous 1000 m3ub 6,746 523 54,017 1,471 181,479
1.2.NC.T of which: Tropical 1000 m3ub 0 8 4,058 5 2,402
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 23,743 5,494 1,321,942 8,994 2,131,951
6.C Coniferous 1000 m3 22,610 5,106 1,089,823 8,223 1,752,844
6.NC Non-Coniferous 1000 m3 1,133 388 232,119 771 379,107
6.NC.T of which: Tropical 1000 m3 0 71 65,077 34 40,016
7 VENEER SHEETS 1000 m3 88 108 151,243 60 139,275
7.C Coniferous 1000 m3 0 25 17,682 1 1,972
7.NC Non-Coniferous 1000 m3 88 83 133,561 60 137,303
7.NC.T of which: Tropical 1000 m3 - 10 12,837 3 10,537
8.1 PLYWOOD 1000 m3 118 1,582 829,806 390 278,955
8.1.C Coniferous 1000 m3 35 591 238,319 139 73,924
8.1.NC Non-Coniferous 1000 m3 83 991 591,487 252 205,032
8.1.NC.T of which: Tropical 1000 m3 0 157 99,779 45 53,788
m3ub = cubic metres underbark (i.e. excluding bark)

ITTO2-Species

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ITTO2 Name of Official responsible for reply: 0
Official Address (in full): 0
FOREST SECTOR QUESTIONNAIRE
Trade in Tropical Species Telephone: 0 Fax: 0
E-mail: 0
Value must always be in 1000 NAC (national currency) 1000 NAC
I M P O R T E X P O R T
Product Classifications 2017 2018 2017 2018
HS2007/HS2002/HS96 Scientific Name Local/Trade Name Quantity Value Quantity Value Quantity Value Quantity Value
(1000 m3) (1000 m3) (1000 m3) (1000 m3)
1.2.NC.T HS2017:
HS2012/2007: 44034910 3,179 1,560 2,691 1,371 135 89 199 141
ex4403.10 4403.41/49 ex4403.99 44034935 1,371 733 1,445 789 94 35 80 57
44034985 6,709 3,496 3,856 1,898 2,806 2,224 4,354 2,204
6.NC.T HS2017:
HS2012/2007: 44072110 27 38 42 43 17 32 23 42
ex4406.10/90 4407.21/22/25/26/27/28/30 44072199 3 1 57 96 44 62 28 91
44072210 944 934 756 612 621 541 732 598
44072291 202 123 266 153 3 2 3 6
44072299 515 491 686 629 58 45 55 33
44072510 30 27 94 74 56 47
44072530 133 203 83 136 102 136 79 121
44072590 16,058 10,416 13,992 9,640 5,517 3,952 3,480 2,707
44072690 211 110 267 143 195 95 239 129
44072791 423 1,094 573 1,465
44072799 7,084 5,124 6,042 4,340 7,445 6,486 5,084 4,508
44072899 3,755 3,000 4,002 3,243 19 18 2,801 2,719
44072915 1,388 751 1,629 842 3,871 3,867
44072983 2,138 2,069 2,507 2,243 11 18 751 1,096
44072985 4 21 21 67 1,073 1,768
44072995 29,987 28,149 35,022 35,780 19,058 20,770 17,752 20,770
44072996 137 134 79 97 28 49 3 7
44072998 7,029 8,304 5,784 7,013 1,683 4,492 2,620 5,677
7.NC.T HS2017:
44083121 0 2 0 2
Veneer Sheets, Tropical 4408.31/39 44083130 7 25 2 3 4 6 86 137
HS2012/2007: 44083915 64 113 267 557 47 305 18 271
4408.31/39 ex4408.90 44083930 556 2,129 715 2,397 1,354 3,616 1,250 3,022
44083955 61 109 74 148 2 61 68 212
44083970 780 978
44083985 1,320 4,233 1,243 4,865 1,215 6,265 824 4,951
44083995 8,226 4,018 6,976 3,889 653 1,587 434 1,942
8.1.NC.T HS2017:
Plywood, Tropical 4412.31 ex4412.94/99 44123110 23,426 19,616 20,305 18,565 974 1,293 1,043 1,344
HS2012/2007: 44123190 115,207 65,688 118,641 68,672 40,087 49,308 42,577 48,245
4412.31 ex4412.32/94/99 44129410 6,207 3,439 6,129 3,406 66 104 93 136
44129930 1 1
44129950 13,282 8,902 12,264 9,136 2,295 4,786 1,384 4,062
Note: List the major species traded in each category. Use additional sheet if more species to be explicitly reported. For tropical plywood, identify by face veneer if composed of more than one species.

ITTO3-Miscellaneous

Country: Date:
Name of Official responsible for reply:
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE ITTO3
Miscellaneous Items Telephone: Fax:
(use additional paper if necessary) E-mail:
1 Please enter current import tariff rates applied to tropical and non-tropical timber products. If available, please provide tariffs by the relevant customs classification category. If tariff levels have been reported in previous years, enter changes only. (Logs = JQ code 1.2, Sawn = JQ code 6, Veneer = JQ code 7, and Plywood = JQ code 8.1)
Current import tariff Logs Tropical: Sawn Tropical: Veneer Tropical: Plywood Tropical:
Non-Tropical: Non-Tropical: Non-Tropical: Non-Tropical:
Comments (if any):
2 Please comment on any quotas, incentives, disincentives, tariff/non-tariff barriers or other related factors which now or in future will significantly affect your production and trade of tropical timber products.
3 Please elaborate on any short or medium term plans for expanding capacity for (further) processing of tropical timber products in your country.
4 Please indicate any trends or changes expected in the species composition of your trade. How important are lesser-used tropical timber species and/or minor tropical forest products?
5 Please indicate trends in domestic building activity, housing starts, mortgage/interest rates, substitution of non-tropical wood and/or non-wood products for tropical timbers, and any other domestic factors having a significant impact on tropical timber consumption in your country.
6 Please indicate the extent of foreign involvement in your timber sector (e.g. number and nationalities of concessionaires/mill (joint) owners, area of forest allocated, scale of investment, etc.).
7 Please provide details of any relevant forest law enforcement activities (e.g. legislation, fines, arrests, etc.) in your country in the past year.
8 Please indicate the current extent of forest plantations in your country (ha), annual establishment rate (ha/yr) and proportion of industrial roundwood production from plantations.

TS-OB

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 2013 2014 2015 2016 2017 2017 2018 13/14 14/15 15/16 16/17 17/17 17/18 2013 2014 2015 2016
DE P.OB 1000 m3 1 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_C 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_3_C 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_3_NC 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ1

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 2013 2014 2015 2016 2017 2017 2018 13/14 14/15 15/16 16/17 17/17 17/18 2013 2014 2015 2016
DE P 1000 m3 1 0 0 0 ERROR:#N/A ERROR:#N/A 65717.379 71802.090 !! !! !! !! !! 109.26%
DE P 1000 m3 1_C 0 0 0 ERROR:#N/A ERROR:#N/A 22388.937 21874.113 !! !! !! !! !! 97.70%
DE P 1000 m3 1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 8432.766 8134.888 !! !! !! !! !! 96.47%
DE P 1000 m3 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 13956.171 13739.225 !! !! !! !! !! 98.45%
DE P 1000 m3 1_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 43328.442 49927.977 !! !! !! !! !! 115.23%
DE P 1000 m3 1_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 37306.200 43182.140 !! !! !! !! !! 115.75%
DE P 1000 m3 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 6022.242 6745.837 !! !! !! !! !! 112.02%
DE P 1000 m3 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 m3 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 32755.853 38702.370 !! !! !! !! !! 118.15%
DE P 1000 m3 1_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 29600.465 35151.571 !! !! !! !! !! 118.75%
DE P 1000 m3 1_2_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 3155.388 3550.799 !! !! !! !! !! 112.53%
DE P 1000 m3 1_2_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 10499.797 11151.566 !! !! !! !! !! 106.21%
DE P 1000 m3 1_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 7633.392 7956.970 !! !! !! !! !! 104.24%
DE P 1000 m3 1_2_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 2866.405 3194.595 !! !! !! !! !! 111.45%
DE P 1000 m3 1_2_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 72.792 74.041 !! !! !! !! !! 101.72%
DE P 1000 m3 1_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 72.343 73.599 !! !! !! !! !! 101.74%
DE P 1000 m3 1_2_3_C 0 0 0 ERROR:#N/A ERROR:#N/A 0.449 0.442 !! !! !! !! !! 98.47%
DE P 1000 m3 1_2_3_NC 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 mt 2 0 0 0 ERROR:#N/A ERROR:#N/A 14230.426 14930.595 !! !! !! !! !! 104.92%
DE P 1000 m3 3 0 0 0 ERROR:#N/A ERROR:#N/A 10345.838 10602.712 !! !! !! !! !! 102.48%
DE P 1000 m3 3_1 0 0 0 ERROR:#N/A ERROR:#N/A 3884.587 4327.883 !! !! !! !! !! 111.41%
DE P 1000 m3 3_2 0 0 0 ERROR:#N/A ERROR:#N/A 6601.000 6601.000 !! !! !! !! !! 100.00%
DE P 1000 mt 4 0 0 0 ERROR:#N/A ERROR:#N/A 2427.867 2704.927 !! !! !! !! !! 111.41%
DE P 1000 mt 4_1 0 0 0 ERROR:#N/A ERROR:#N/A 2250.000 2415.000 !! !! !! !! !! 107.33%
DE P 1000 mt 4_2 0 0 0 ERROR:#N/A ERROR:#N/A 177.867 289.927 !! !! !! !! !! 163.00%
DE P 1000 m3 5 0 0 0 ERROR:#N/A ERROR:#N/A 23167.680 23742.902 !! !! !! !! !! 102.48%
DE P 1000 m3 5_C 0 0 0 ERROR:#N/A ERROR:#N/A 22050.255 22609.724 !! !! !! !! !! 102.54%
DE P 1000 m3 5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 1117.425 1133.178 !! !! !! !! !! 101.41%
DE P 1000 m3 5_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 0.210 0.147 !! !! !! !! !! 70.00%
DE P 1000 m3 6 0 0 0 ERROR:#N/A ERROR:#N/A 88.850 88.247 !! !! !! !! !! 99.32%
DE P 1000 m3 6_1 0 0 0 ERROR:#N/A ERROR:#N/A 0.329 0.327 !! !! !! !! !! 99.32%
DE P 1000 m3 6_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 88.521 87.920 !! !! !! !! !! 99.32%
DE P 1000 m3 6_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A - - !! !! !! !! !! ERROR:#VALUE!
DE P 1000 m3 6_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 13055.543 12712.537 !! !! !! !! !! 97.37%
DE P 1000 m3 6_2 0 0 0 ERROR:#N/A ERROR:#N/A 99.845 117.786 !! !! !! !! !! 117.97%
DE P 1000 m3 6_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 12.474 34.713 !! !! !! !! !! 278.28%
DE P 1000 m3 6_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 87.371 83.073 !! !! !! !! !! 95.08%
DE P 1000 m3 6_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 0.165 0.165 !! !! !! !! !! 100.00%
DE P 1000 m3 6_3 0 0 0 ERROR:#N/A ERROR:#N/A 7211.123 6987.620 !! !! !! !! !! 96.90%
DE P 1000 m3 6_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 1451.673 1230.209 !! !! !! !! !! 84.74%
DE P 1000 m3 6_4 0 0 0 ERROR:#N/A ERROR:#N/A 5744.575 5607.131 !! !! !! !! !! 97.61%
DE P 1000 m3 6_4_1 0 0 0 ERROR:#N/A ERROR:#N/A 2452.534 2349.505 !! !! !! !! !! 95.80%
DE P 1000 m3 6_4_2 0 0 0 ERROR:#N/A ERROR:#N/A 1509.674 1453.596 !! !! !! !! !! 96.29%
DE P 1000 m3 6_4_3 0 0 0 ERROR:#N/A ERROR:#N/A 1782.367 1804.030 !! !! !! !! !! 101.22%
DE P 1000 mt 7 0 0 0 ERROR:#N/A ERROR:#N/A 2432.000 2398.000 !! !! !! !! !! 98.60%
DE P 1000 mt 7_1 0 0 0 ERROR:#N/A ERROR:#N/A 795.000 813.000 !! !! !! !! !! 102.26%
DE P 1000 mt 7_2 0 0 0 ERROR:#N/A ERROR:#N/A 1637.000 1585.000 !! !! !! !! !! 96.82%
DE P 1000 mt 7_3 0 0 0 ERROR:#N/A ERROR:#N/A 1018.000 965.000 !! !! !! !! !! 94.79%
DE P 1000 mt 7_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 1018.000 965.000 !! !! !! !! !! 94.79%
DE P 1000 mt 7_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 619.000 620.000 !! !! !! !! !! 100.16%
DE P 1000 mt 7_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 mt 7_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 72.100 76.700 !! !! !! !! !! 106.38%
DE P 1000 mt 7_4 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 mt 8 0 0 0 ERROR:#N/A ERROR:#N/A 72.100 76.700 !! !! !! !! !! 106.38%
DE P 1000 mt 8_1 0 0 0 ERROR:#N/A ERROR:#N/A 15237.000 15070.000 !! !! !! !! !! 98.90%
DE P 1000 mt 8_2 0 0 0 ERROR:#N/A ERROR:#N/A 22925.000 22666.000 !! !! !! !! !! 98.87%
DE P 1000 mt 9 0 0 0 ERROR:#N/A ERROR:#N/A 8371.000 7935.000 !! !! !! !! !! 94.79%
DE P 1000 mt 10 0 0 0 ERROR:#N/A ERROR:#N/A 1433.000 1210.000 !! !! !! !! !! 84.44%
DE P 1000 mt 10_1 0 0 0 ERROR:#N/A ERROR:#N/A 1976.000 2046.000 !! !! !! !! !! 103.54%
DE P 1000 mt 10_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 1683.000 1636.000 !! !! !! !! !! 97.21%
DE P 1000 mt 10_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 3279.000 3043.000 !! !! !! !! !! 92.80%
DE P 1000 mt 10_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 1513.000 1508.000 !! !! !! !! !! 99.67%
DE P 1000 mt 10_1_4 0 0 0 ERROR:#N/A ERROR:#N/A 11639.000 11844.000 !! !! !! !! !! 101.76%
DE P 1000 mt 10_2 0 0 0 ERROR:#N/A ERROR:#N/A 8334.000 8576.000 !! !! !! !! !! 102.90%
DE P 1000 mt 10_3 0 0 0 ERROR:#N/A ERROR:#N/A 1806.000 1765.000 !! !! !! !! !! 97.73%
DE P 1000 mt 10_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 418.000 430.000 !! !! !! !! !! 102.87%
DE P 1000 mt 10_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 1081.000 1073.000 !! !! !! !! !! 99.26%
DE P 1000 mt 10_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 1402.000 1379.000 !! !! !! !! !! 98.36%
DE P 1000 mt 10_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE P 1000 mt 10_4 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!

TS-JQ2

% Min: 80% Max: 120% Notes
JQ2 Country Flow Unit Product 2013 2014 2015 2016 2017 2017 2018 13/14 14/15 15/16 16/17 17/17 17/18 2013 2014 2015 2016
Q DE M 1000 m3 1 0 0 0 ERROR:#N/A ERROR:#N/A 9212.794 9250.396 !! !! !! !! !! 100.41%
DE M 1000 NAC 1 0 0 0 ERROR:#N/A ERROR:#N/A 605991.000 563778.000 !! !! !! !! !! 93.03%
UV DE M 1000 m3 1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 65.777 60.946 !! !! !! !! !! 92.66%
Q DE X 1000 m3 1 0 0 0 ERROR:#N/A ERROR:#N/A 4393.669 5391.378 !! !! !! !! !! 122.71%
DE X 1000 NAC 1 0 0 0 ERROR:#N/A ERROR:#N/A 379935.000 458682.000 !! !! !! !! !! 120.73%
UV DE X 1000 m3 1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 86.473 85.077 !! !! !! !! !! 98.39%
Q DE M 1000 m3 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 430.165 425.076 !! !! !! !! !! 98.82%
DE M 1000 NAC 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 39376.000 36804.000 !! !! !! !! !! 93.47%
UV DE M 1000 m3 1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 91.537 86.582 !! !! !! !! !! 94.59%
Q DE X 1000 m3 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 134.765 138.742 !! !! !! !! !! 102.95%
DE X 1000 NAC 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 6455.000 7813.000 !! !! !! !! !! 121.04%
UV DE X 1000 m3 1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 47.898 56.313 !! !! !! !! !! 117.57%
Q DE M 1000 m3 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 121.756 113.801 !! !! !! !! !! 93.47%
DE M 1000 NAC 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 11196.000 11263.000 !! !! !! !! !! 100.60%
UV DE M 1000 m3 1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 91.954 98.971 !! !! !! !! !! 107.63%
Q DE X 1000 m3 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 82.214 86.717 !! !! !! !! !! 105.48%
DE X 1000 NAC 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 2470.000 2498.000 !! !! !! !! !! 101.13%
UV DE X 1000 m3 1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 30.044 28.806 !! !! !! !! !! 95.88%
Q DE M 1000 m3 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 308.409 311.275 !! !! !! !! !! 100.93%
DE M 1000 NAC 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 28180.000 25541.000 !! !! !! !! !! 90.64%
UV DE M 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 91.372 82.053 !! !! !! !! !! 89.80%
Q DE X 1000 m3 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 52.551 52.025 !! !! !! !! !! 99.00%
DE X 1000 NAC 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 3985.000 5315.000 !! !! !! !! !! 133.38%
UV DE X 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 75.831 102.162 !! !! !! !! !! 134.72%
Q DE M 1000 m3 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 8782.629 8825.320 !! !! !! !! !! 100.49%
DE M 1000 NAC 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 566615.000 526974.000 !! !! !! !! !! 93.00%
UV DE M 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 64.515 59.712 !! !! !! !! !! 92.55%
Q DE X 1000 m3 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 4258.904 5252.636 !! !! !! !! !! 123.33%
DE X 1000 NAC 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 373480.000 450869.000 !! !! !! !! !! 120.72%
UV DE X 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 87.694 85.837 !! !! !! !! !! 97.88%
Q DE M 1000 m3 1_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 8247.709 8301.870 !! !! !! !! !! 100.66%
DE M 1000 NAC 1_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 511457.000 472957.000 !! !! !! !! !! 92.47%
UV DE M 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 62.012 56.970 !! !! !! !! !! 91.87%
Q DE X 1000 m3 1_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 2907.548 3781.902 !! !! !! !! !! 130.07%
DE X 1000 NAC 1_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 209051.000 269390.000 !! !! !! !! !! 128.86%
UV DE X 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 71.899 71.231 !! !! !! !! !! 99.07%
Q DE M 1000 mt 2 0 0 0 ERROR:#N/A ERROR:#N/A 534.920 523.450 !! !! !! !! !! 97.86%
DE M 1000 NAC 2 0 0 0 ERROR:#N/A ERROR:#N/A 55158.000 54017.000 !! !! !! !! !! 97.93%
UV DE M 1000 mt 2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 103.114 103.194 !! !! !! !! !! 100.08%
Q DE X 1000 mt 2 0 0 0 ERROR:#N/A ERROR:#N/A 1351.356 1470.734 !! !! !! !! !! 108.83%
DE X 1000 NAC 2 0 0 0 ERROR:#N/A ERROR:#N/A 164429.000 181479.000 !! !! !! !! !! 110.37%
UV DE X 1000 mt 2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 121.677 123.393 !! !! !! !! !! 101.41%
Q DE M 1000 m3 3 0 0 0 ERROR:#N/A ERROR:#N/A 11.259 7.992 !! !! !! !! !! 70.98%
DE M 1000 NAC 3 0 0 0 ERROR:#N/A ERROR:#N/A 5789.000 4058.000 !! !! !! !! !! 70.10%
UV DE M 1000 m3 3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 514.166 507.758 !! !! !! !! !! 98.75%
Q DE X 1000 m3 3 0 0 0 ERROR:#N/A ERROR:#N/A 3.035 4.633 !! !! !! !! !! 152.65%
DE X 1000 NAC 3 0 0 0 ERROR:#N/A ERROR:#N/A 2348.000 2402.000 !! !! !! !! !! 102.30%
UV DE X 1000 m3 3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 773.641 518.455 !! !! !! !! !! 67.01%
Q DE M 1000 m3 3_1 0 0 0 ERROR:#N/A ERROR:#N/A 222.064 233.506 !! !! !! !! !! 105.15%
DE M 1000 NAC 3_1 0 0 0 ERROR:#N/A ERROR:#N/A 103037.000 108928.000 !! !! !! !! !! 105.72%
UV DE M 1000 m3 3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 463.997 466.489 !! !! !! !! !! 100.54%
Q DE X 1000 m3 3_1 0 0 0 ERROR:#N/A ERROR:#N/A 22.058 25.652 !! !! !! !! !! 116.29%
DE X 1000 NAC 3_1 0 0 0 ERROR:#N/A ERROR:#N/A 18525.000 21308.000 !! !! !! !! !! 115.02%
UV DE X 1000 m3 3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 839.831 830.656 !! !! !! !! !! 98.91%
Q DE M 1000 m3 3_2 0 0 0 ERROR:#N/A ERROR:#N/A 2156.492 1997.956 !! !! !! !! !! 92.65%
DE M 1000 NAC 3_2 0 0 0 ERROR:#N/A ERROR:#N/A 70478.000 68024.000 !! !! !! !! !! 96.52%
UV DE M 1000 m3 3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 32.682 34.047 !! !! !! !! !! 104.18%
Q DE X 1000 m3 3_2 0 0 0 ERROR:#N/A ERROR:#N/A 2558.372 2612.928 !! !! !! !! !! 102.13%
DE X 1000 NAC 3_2 0 0 0 ERROR:#N/A ERROR:#N/A 118238.000 122749.000 !! !! !! !! !! 103.82%
UV DE X 1000 m3 3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 46.216 46.978 !! !! !! !! !! 101.65%
Q DE M 1000 mt 4 0 0 0 ERROR:#N/A ERROR:#N/A 1353.377 1244.218 !! !! !! !! !! 91.93%
DE M 1000 NAC 4 0 0 0 ERROR:#N/A ERROR:#N/A 44171.000 39817.000 !! !! !! !! !! 90.14%
UV DE M 1000 mt 4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 32.638 32.002 !! !! !! !! !! 98.05%
Q DE X 1000 mt 4 0 0 0 ERROR:#N/A ERROR:#N/A 1831.990 1909.560 !! !! !! !! !! 104.23%
DE X 1000 NAC 4 0 0 0 ERROR:#N/A ERROR:#N/A 77976.000 79699.000 !! !! !! !! !! 102.21%
UV DE X 1000 mt 4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 42.564 41.737 !! !! !! !! !! 98.06%
Q DE M 1000 mt 4_1 0 0 0 ERROR:#N/A ERROR:#N/A 803.115 753.738 !! !! !! !! !! 93.85%
DE M 1000 NAC 4_1 0 0 0 ERROR:#N/A ERROR:#N/A 26307.000 28207.000 !! !! !! !! !! 107.22%
UV DE M 1000 mt 4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 32.756 37.423 !! !! !! !! !! 114.25%
Q DE X 1000 mt 4_1 0 0 0 ERROR:#N/A ERROR:#N/A 726.382 703.368 !! !! !! !! !! 96.83%
DE X 1000 NAC 4_1 0 0 0 ERROR:#N/A ERROR:#N/A 40262.000 43050.000 !! !! !! !! !! 106.92%
UV DE X 1000 mt 4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 55.428 61.206 !! !! !! !! !! 110.42%
Q DE M 1000 mt 4_2 0 0 0 ERROR:#N/A ERROR:#N/A 1071.070 990.091 !! !! !! !! !! 92.44%
DE M 1000 NAC 4_2 0 0 0 ERROR:#N/A ERROR:#N/A 36510.000 35631.000 !! !! !! !! !! 97.59%
UV DE M 1000 mt 4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 34.087 35.988 !! !! !! !! !! 105.57%
Q DE X 1000 mt 4_2 0 0 0 ERROR:#N/A ERROR:#N/A 692.073 706.508 !! !! !! !! !! 102.09%
DE X 1000 NAC 4_2 0 0 0 ERROR:#N/A ERROR:#N/A 43391.000 37096.000 !! !! !! !! !! 85.49%
UV DE X 1000 mt 4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 62.697 52.506 !! !! !! !! !! 83.75%
Q DE M 1000 m3 5 0 0 0 ERROR:#N/A ERROR:#N/A 742.486 737.192 !! !! !! !! !! 99.29%
DE M 1000 NAC 5 0 0 0 ERROR:#N/A ERROR:#N/A 108129.000 119293.000 !! !! !! !! !! 110.32%
UV DE M 1000 m3 5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 145.631 161.821 !! !! !! !! !! 111.12%
Q DE X 1000 m3 5 0 0 0 ERROR:#N/A ERROR:#N/A 524.723 664.448 !! !! !! !! !! 126.63%
DE X 1000 NAC 5 0 0 0 ERROR:#N/A ERROR:#N/A 122788.000 157674.000 !! !! !! !! !! 128.41%
UV DE X 1000 m3 5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 234.005 237.301 !! !! !! !! !! 101.41%
Q DE M 1000 m3 5_C 0 0 0 ERROR:#N/A ERROR:#N/A 431.585 390.243 !! !! !! !! !! 90.42%
DE M 1000 NAC 5_C 0 0 0 ERROR:#N/A ERROR:#N/A 69220.000 69065.000 !! !! !! !! !! 99.78%
UV DE M 1000 m3 5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 160.386 176.979 !! !! !! !! !! 110.35%
Q DE X 1000 m3 5_C 0 0 0 ERROR:#N/A ERROR:#N/A 489.876 620.155 !! !! !! !! !! 126.59%
DE X 1000 NAC 5_C 0 0 0 ERROR:#N/A ERROR:#N/A 112066.000 144584.000 !! !! !! !! !! 129.02%
UV DE X 1000 m3 5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 228.764 233.142 !! !! !! !! !! 101.91%
Q DE M 1000 m3 5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 310.901 346.949 !! !! !! !! !! 111.59%
DE M 1000 NAC 5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 38909.000 50228.000 !! !! !! !! !! 129.09%
UV DE M 1000 m3 5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 125.149 144.771 !! !! !! !! !! 115.68%
Q DE X 1000 m3 5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 34.847 44.293 !! !! !! !! !! 127.11%
DE X 1000 NAC 5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 10722.000 13090.000 !! !! !! !! !! 122.09%
UV DE X 1000 m3 5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 307.688 295.532 !! !! !! !! !! 96.05%
Q DE M 1000 m3 5_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 5235.817 5493.939 !! !! !! !! !! 104.93%
DE M 1000 NAC 5_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 1233225.000 1321942.000 !! !! !! !! !! 107.19%
UV DE M 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 235.536 240.618 !! !! !! !! !! 102.16%
Q DE X 1000 m3 5_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 8348.442 8993.921 !! !! !! !! !! 107.73%
DE X 1000 NAC 5_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 1915776.000 2131951.000 !! !! !! !! !! 111.28%
UV DE X 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 229.477 237.044 !! !! !! !! !! 103.30%
Q DE M 1000 m3 6 0 0 0 ERROR:#N/A ERROR:#N/A 4819.193 5106.065 !! !! !! !! !! 105.95%
DE M 1000 NAC 6 0 0 0 ERROR:#N/A ERROR:#N/A 1002239.000 1089823.000 !! !! !! !! !! 108.74%
UV DE M 1000 m3 6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 207.968 213.437 !! !! !! !! !! 102.63%
Q DE X 1000 m3 6 0 0 0 ERROR:#N/A ERROR:#N/A 7537.694 8223.141 !! !! !! !! !! 109.09%
DE X 1000 NAC 6 0 0 0 ERROR:#N/A ERROR:#N/A 1520268.000 1752844.000 !! !! !! !! !! 115.30%
UV DE X 1000 m3 6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 201.689 213.160 !! !! !! !! !! 105.69%
Q DE M 1000 m3 6_1 0 0 0 ERROR:#N/A ERROR:#N/A 416.624 387.874 !! !! !! !! !! 93.10%
DE M 1000 NAC 6_1 0 0 0 ERROR:#N/A ERROR:#N/A 230986.000 232119.000 !! !! !! !! !! 100.49%
UV DE M 1000 m3 6_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 554.423 598.439 !! !! !! !! !! 107.94%
Q DE X 1000 m3 6_1 0 0 0 ERROR:#N/A ERROR:#N/A 810.748 770.780 !! !! !! !! !! 95.07%
DE X 1000 NAC 6_1 0 0 0 ERROR:#N/A ERROR:#N/A 395508.000 379107.000 !! !! !! !! !! 95.85%
UV DE X 1000 m3 6_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 487.831 491.849 !! !! !! !! !! 100.82%
Q DE M 1000 m3 6_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 69.645 71.235 !! !! !! !! !! 102.28%
DE M 1000 NAC 6_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 59895.000 65077.000 !! !! !! !! !! 108.65%
UV DE M 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 860.004 913.554 !! !! !! !! !! 106.23%
Q DE X 1000 m3 6_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 40.262 34.279 !! !! !! !! !! 85.14%
DE X 1000 NAC 6_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 43501.000 40016.000 !! !! !! !! !! 91.99%
UV DE X 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1080.448 1167.362 !! !! !! !! !! 108.04%
Q DE M 1000 m3 6_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 116.977 108.221 !! !! !! !! !! 92.51%
DE M 1000 NAC 6_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 156566.000 151243.000 !! !! !! !! !! 96.60%
UV DE M 1000 m3 6_1_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1338.434 1397.538 !! !! !! !! !! 104.42%
Q DE X 1000 m3 6_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 63.497 60.146 !! !! !! !! !! 94.72%
DE X 1000 NAC 6_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 145229.000 139275.000 !! !! !! !! !! 95.90%
UV DE X 1000 m3 6_1_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 2287.179 2315.615 !! !! !! !! !! 101.24%
Q DE M 1000 m3 6_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 31.345 25.234 !! !! !! !! !! 80.50%
DE M 1000 NAC 6_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 21150.000 17682.000 !! !! !! !! !! 83.60%
UV DE M 1000 m3 6_1_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 674.749 700.721 !! !! !! !! !! 103.85%
Q DE X 1000 m3 6_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 0.511 0.576 !! !! !! !! !! 112.72%
DE X 1000 NAC 6_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 2247.000 1972.000 !! !! !! !! !! 87.76%
UV DE X 1000 m3 6_1_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 4397.260 3423.611 !! !! !! !! !! 77.86%
Q DE M 1000 m3 6_2 0 0 0 ERROR:#N/A ERROR:#N/A 85.632 82.987 !! !! !! !! !! 96.91%
DE M 1000 NAC 6_2 0 0 0 ERROR:#N/A ERROR:#N/A 135416.000 133561.000 !! !! !! !! !! 98.63%
UV DE M 1000 m3 6_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1581.371 1609.421 !! !! !! !! !! 101.77%
Q DE X 1000 m3 6_2 0 0 0 ERROR:#N/A ERROR:#N/A 62.986 59.570 !! !! !! !! !! 94.58%
DE X 1000 NAC 6_2 0 0 0 ERROR:#N/A ERROR:#N/A 142982.000 137303.000 !! !! !! !! !! 96.03%
UV DE X 1000 m3 6_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 2270.060 2304.902 !! !! !! !! !! 101.53%
Q DE M 1000 m3 6_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 10.234 10.057 !! !! !! !! !! 98.27%
DE M 1000 NAC 6_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 10627.000 12837.000 !! !! !! !! !! 120.80%
UV DE M 1000 m3 6_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1038.401 1276.424 !! !! !! !! !! 122.92%
Q DE X 1000 m3 6_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 3.275 2.680 !! !! !! !! !! 81.83%
DE X 1000 NAC 6_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 11842.000 10537.000 !! !! !! !! !! 88.98%
UV DE X 1000 m3 6_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 3615.878 3931.716 !! !! !! !! !! 108.73%
Q DE M 1000 m3 6_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 5744.759 5903.094 !! !! !! !! !! 102.76%
DE M 1000 NAC 6_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 1846509.000 1971131.000 !! !! !! !! !! 106.75%
UV DE M 1000 m3 6_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 321.425 333.915 !! !! !! !! !! 103.89%
Q DE X 1000 m3 6_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 6360.238 6134.260 !! !! !! !! !! 96.45%
DE X 1000 NAC 6_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 2581493.000 2600782.000 !! !! !! !! !! 100.75%
UV DE X 1000 m3 6_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 405.880 423.976 !! !! !! !! !! 104.46%
Q DE M 1000 m3 6_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 1527.994 1581.645 !! !! !! !! !! 103.51%
DE M 1000 NAC 6_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 780412.000 829806.000 !! !! !! !! !! 106.33%
UV DE M 1000 m3 6_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 510.743 524.647 !! !! !! !! !! 102.72%
Q DE X 1000 m3 6_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 381.315 390.452 !! !! !! !! !! 102.40%
DE X 1000 NAC 6_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 274362.000 278955.000 !! !! !! !! !! 101.67%
UV DE X 1000 m3 6_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 719.515 714.441 !! !! !! !! !! 99.29%
Q DE M 1000 m3 6_3 0 0 0 ERROR:#N/A ERROR:#N/A 573.547 590.948 !! !! !! !! !! 103.03%
DE M 1000 NAC 6_3 0 0 0 ERROR:#N/A ERROR:#N/A 211942.000 238319.000 !! !! !! !! !! 112.45%
UV DE M 1000 m3 6_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 369.529 403.283 !! !! !! !! !! 109.13%
Q DE X 1000 m3 6_3 0 0 0 ERROR:#N/A ERROR:#N/A 133.685 138.793 !! !! !! !! !! 103.82%
DE X 1000 NAC 6_3 0 0 0 ERROR:#N/A ERROR:#N/A 71025.000 73923.500 !! !! !! !! !! 104.08%
UV DE X 1000 m3 6_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 531.286 532.617 !! !! !! !! !! 100.25%
Q DE M 1000 m3 6_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 954.447 990.697 !! !! !! !! !! 103.80%
DE M 1000 NAC 6_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 568470.000 591487.000 !! !! !! !! !! 104.05%
UV DE M 1000 m3 6_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 595.601 597.041 !! !! !! !! !! 100.24%
Q DE X 1000 m3 6_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 247.630 251.659 !! !! !! !! !! 101.63%
DE X 1000 NAC 6_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 203337.000 205031.500 !! !! !! !! !! 100.83%
UV DE X 1000 m3 6_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 821.132 814.720 !! !! !! !! !! 99.22%
Q DE M 1000 m3 6_4 0 0 0 ERROR:#N/A ERROR:#N/A 158.122 157.339 !! !! !! !! !! 99.50%
DE M 1000 NAC 6_4 0 0 0 ERROR:#N/A ERROR:#N/A 97645.000 99779.000 !! !! !! !! !! 102.19%
UV DE M 1000 m3 6_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 617.530 634.166 !! !! !! !! !! 102.69%
Q DE X 1000 m3 6_4 0 0 0 ERROR:#N/A ERROR:#N/A 43.422 45.098 !! !! !! !! !! 103.86%
DE X 1000 NAC 6_4 0 0 0 ERROR:#N/A ERROR:#N/A 55491.000 53788.000 !! !! !! !! !! 96.93%
UV DE X 1000 m3 6_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1277.947 1192.691 !! !! !! !! !! 93.33%
Q DE M 1000 m3 6_4_1 0 0 0 ERROR:#N/A ERROR:#N/A 2937.791 2930.605 !! !! !! !! !! 99.76%
DE M 1000 NAC 6_4_1 0 0 0 ERROR:#N/A ERROR:#N/A 677719.000 737534.000 !! !! !! !! !! 108.83%
UV DE M 1000 m3 6_4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 230.690 251.666 !! !! !! !! !! 109.09%
Q DE X 1000 m3 6_4_1 0 0 0 ERROR:#N/A ERROR:#N/A 2408.957 2425.070 !! !! !! !! !! 100.67%
DE X 1000 NAC 6_4_1 0 0 0 ERROR:#N/A ERROR:#N/A 601762.000 640421.000 !! !! !! !! !! 106.42%
UV DE X 1000 m3 6_4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 249.802 264.084 !! !! !! !! !! 105.72%
Q DE M 1000 m3 6_4_2 0 0 0 ERROR:#N/A ERROR:#N/A 762.152 840.226 !! !! !! !! !! 110.24%
DE M 1000 NAC 6_4_2 0 0 0 ERROR:#N/A ERROR:#N/A 167619.000 220626.000 !! !! !! !! !! 131.62%
UV DE M 1000 m3 6_4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 219.929 262.579 !! !! !! !! !! 119.39%
Q DE X 1000 m3 6_4_2 0 0 0 ERROR:#N/A ERROR:#N/A 519.608 512.221 !! !! !! !! !! 98.58%
DE X 1000 NAC 6_4_2 0 0 0 ERROR:#N/A ERROR:#N/A 118190.000 136422.000 !! !! !! !! !! 115.43%
UV DE X 1000 m3 6_4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 227.460 266.334 !! !! !! !! !! 117.09%
Q DE M 1000 m3 6_4_3 0 0 0 ERROR:#N/A ERROR:#N/A 1278.974 1390.844 !! !! !! !! !! 108.75%
DE M 1000 NAC 6_4_3 0 0 0 ERROR:#N/A ERROR:#N/A 388378.000 403791.000 !! !! !! !! !! 103.97%
UV DE M 1000 m3 6_4_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 303.664 290.321 !! !! !! !! !! 95.61%
Q DE X 1000 m3 6_4_3 0 0 0 ERROR:#N/A ERROR:#N/A 3569.966 3318.738 !! !! !! !! !! 92.96%
DE X 1000 NAC 6_4_3 0 0 0 ERROR:#N/A ERROR:#N/A 1705369.000 1681406.000 !! !! !! !! !! 98.59%
UV DE X 1000 m3 6_4_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 477.699 506.640 !! !! !! !! !! 106.06%
Q DE M 1000 mt 7 0 0 0 ERROR:#N/A ERROR:#N/A 221.521 224.329 !! !! !! !! !! 101.27%
DE M 1000 NAC 7 0 0 0 ERROR:#N/A ERROR:#N/A 101779.000 98362.000 !! !! !! !! !! 96.64%
UV DE M 1000 mt 7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 459.455 438.472 !! !! !! !! !! 95.43%
Q DE X 1000 mt 7 0 0 0 ERROR:#N/A ERROR:#N/A 1633.403 1502.257 !! !! !! !! !! 91.97%
DE X 1000 NAC 7 0 0 0 ERROR:#N/A ERROR:#N/A 974461.000 929070.000 !! !! !! !! !! 95.34%
UV DE X 1000 mt 7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 596.583 618.449 !! !! !! !! !! 103.67%
Q DE M 1000 mt 7_1 0 0 0 ERROR:#N/A ERROR:#N/A 492.002 509.327 !! !! !! !! !! 103.52%
DE M 1000 NAC 7_1 0 0 0 ERROR:#N/A ERROR:#N/A 215986.000 226349.000 !! !! !! !! !! 104.80%
UV DE M 1000 mt 7_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 438.994 444.408 !! !! !! !! !! 101.23%
Q DE X 1000 mt 7_1 0 0 0 ERROR:#N/A ERROR:#N/A 1544.949 1557.621 !! !! !! !! !! 100.82%
DE X 1000 NAC 7_1 0 0 0 ERROR:#N/A ERROR:#N/A 692493.000 722351.000 !! !! !! !! !! 104.31%
UV DE X 1000 mt 7_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 448.230 463.753 !! !! !! !! !! 103.46%
Q DE M 1000 mt 7_2 0 0 0 ERROR:#N/A ERROR:#N/A 565.451 657.188 !! !! !! !! !! 116.22%
DE M 1000 NAC 7_2 0 0 0 ERROR:#N/A ERROR:#N/A 70613.000 79080.000 !! !! !! !! !! 111.99%
UV DE M 1000 mt 7_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 124.879 120.331 !! !! !! !! !! 96.36%
Q DE X 1000 mt 7_2 0 0 0 ERROR:#N/A ERROR:#N/A 391.614 258.860 !! !! !! !! !! 66.10%
DE X 1000 NAC 7_2 0 0 0 ERROR:#N/A ERROR:#N/A 38415.000 29985.000 !! !! !! !! !! 78.06%
UV DE X 1000 mt 7_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 98.094 115.835 !! !! !! !! !! 118.09%
Q DE M 1000 mt 7_3 0 0 0 ERROR:#N/A ERROR:#N/A 5304.000 4717.000 !! !! !! !! !! 88.93%
DE M 1000 NAC 7_3 0 0 0 ERROR:#N/A ERROR:#N/A 2823914.000 3068425.000 !! !! !! !! !! 108.66%
UV DE M 1000 mt 7_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 532.412 650.503 !! !! !! !! !! 122.18%
Q DE X 1000 mt 7_3 0 0 0 ERROR:#N/A ERROR:#N/A 1253.000 1077.000 !! !! !! !! !! 85.95%
DE X 1000 NAC 7_3 0 0 0 ERROR:#N/A ERROR:#N/A 686184.000 719817.000 !! !! !! !! !! 104.90%
UV DE X 1000 mt 7_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 547.633 668.354 !! !! !! !! !! 122.04%
Q DE M 1000 mt 7_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 165.000 168.000 !! !! !! !! !! 101.82%
DE M 1000 NAC 7_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 87565.000 101100.000 !! !! !! !! !! 115.46%
UV DE M 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 530.697 601.786 !! !! !! !! !! 113.40%
Q DE X 1000 mt 7_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 107.000 100.000 !! !! !! !! !! 93.46%
DE X 1000 NAC 7_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 43238.000 46984.000 !! !! !! !! !! 108.66%
UV DE X 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 404.093 469.840 !! !! !! !! !! 116.27%
Q DE M 1000 mt 7_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 4694.000 4131.000 !! !! !! !! !! 88.01%
DE M 1000 NAC 7_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 2358512.000 2617024.000 !! !! !! !! !! 110.96%
UV DE M 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 502.452 633.509 !! !! !! !! !! 126.08%
Q DE X 1000 mt 7_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 1127.000 963.000 !! !! !! !! !! 85.45%
DE X 1000 NAC 7_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 622413.000 657193.000 !! !! !! !! !! 105.59%
UV DE X 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 552.274 682.443 !! !! !! !! !! 123.57%
Q DE M 1000 mt 7_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 4610.000 4053.000 !! !! !! !! !! 87.92%
DE M 1000 NAC 7_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 2279185.000 2537875.000 !! !! !! !! !! 111.35%
UV DE M 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 494.400 626.172 !! !! !! !! !! 126.65%
Q DE X 1000 mt 7_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 1038.000 878.000 !! !! !! !! !! 84.59%
DE X 1000 NAC 7_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 523410.000 553605.000 !! !! !! !! !! 105.77%
UV DE X 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 504.249 630.530 !! !! !! !! !! 125.04%
Q DE M 1000 mt 7_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 4498.000 3924.000 !! !! !! !! !! 87.24%
DE M 1000 NAC 7_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 2223763.000 2467924.000 !! !! !! !! !! 110.98%
UV DE M 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 494.389 628.931 !! !! !! !! !! 127.21%
Q DE X 1000 mt 7_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 1029.000 871.000 !! !! !! !! !! 84.65%
DE X 1000 NAC 7_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 518282.000 549073.000 !! !! !! !! !! 105.94%
UV DE X 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 503.675 630.394 !! !! !! !! !! 125.16%
Q DE M 1000 mt 7_4 0 0 0 ERROR:#N/A ERROR:#N/A 84.000 78.000 !! !! !! !! !! 92.86%
DE M 1000 NAC 7_4 0 0 0 ERROR:#N/A ERROR:#N/A 79327.000 79149.000 !! !! !! !! !! 99.78%
UV DE M 1000 mt 7_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 944.369 1014.731 !! !! !! !! !! 107.45%
Q DE X 1000 mt 7_4 0 0 0 ERROR:#N/A ERROR:#N/A 89.000 85.000 !! !! !! !! !! 95.51%
DE X 1000 NAC 7_4 0 0 0 ERROR:#N/A ERROR:#N/A 99003.000 103588.000 !! !! !! !! !! 104.63%
UV DE X 1000 mt 7_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1112.393 1218.682 !! !! !! !! !! 109.55%
Q DE M 1000 mt 8 0 0 0 ERROR:#N/A ERROR:#N/A 445.000 418.000 !! !! !! !! !! 93.93%
DE M 1000 NAC 8 0 0 0 ERROR:#N/A ERROR:#N/A 377837.000 350301.000 !! !! !! !! !! 92.71%
UV DE M 1000 mt 8 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 849.072 838.041 !! !! !! !! !! 98.70%
Q DE X 1000 mt 8 0 0 0 ERROR:#N/A ERROR:#N/A 19.000 14.000 !! !! !! !! !! 73.68%
DE X 1000 NAC 8 0 0 0 ERROR:#N/A ERROR:#N/A 20533.000 15640.000 !! !! !! !! !! 76.17%
UV DE X 1000 mt 8 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1080.684 1117.143 !! !! !! !! !! 103.37%
Q DE M 1000 mt 8_1 0 0 0 ERROR:#N/A ERROR:#N/A 98.000 109.000 !! !! !! !! !! 111.22%
DE M 1000 NAC 8_1 0 0 0 ERROR:#N/A ERROR:#N/A 29225.000 29042.000 !! !! !! !! !! 99.37%
UV DE M 1000 mt 8_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 298.214 266.440 !! !! !! !! !! 89.35%
Q DE X 1000 mt 8_1 0 0 0 ERROR:#N/A ERROR:#N/A 111.000 135.000 !! !! !! !! !! 121.62%
DE X 1000 NAC 8_1 0 0 0 ERROR:#N/A ERROR:#N/A 53064.000 62670.000 !! !! !! !! !! 118.10%
UV DE X 1000 mt 8_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 478.054 464.222 !! !! !! !! !! 97.11%
Q DE M 1000 mt 8_2 0 0 0 ERROR:#N/A ERROR:#N/A 16.000 16.000 !! !! !! !! !! 100.00%
DE M 1000 NAC 8_2 0 0 0 ERROR:#N/A ERROR:#N/A 24429.000 23010.000 !! !! !! !! !! 94.19%
UV DE M 1000 mt 8_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1526.813 1438.125 !! !! !! !! !! 94.19%
Q DE X 1000 mt 8_2 0 0 0 ERROR:#N/A ERROR:#N/A 1.000 1.000 !! !! !! !! !! 100.00%
DE X 1000 NAC 8_2 0 0 0 ERROR:#N/A ERROR:#N/A 725.000 767.000 !! !! !! !! !! 105.79%
UV DE X 1000 mt 8_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 725.000 767.000 !! !! !! !! !! 105.79%
Q DE M 1000 mt 9 0 0 0 ERROR:#N/A ERROR:#N/A 82.000 93.000 !! !! !! !! !! 113.41%
DE M 1000 NAC 9 0 0 0 ERROR:#N/A ERROR:#N/A 4796.000 6032.000 !! !! !! !! !! 125.77%
UV DE M 1000 mt 9 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 58.488 64.860 !! !! !! !! !! 110.90%
Q DE X 1000 mt 9 0 0 0 ERROR:#N/A ERROR:#N/A 110.000 134.000 !! !! !! !! !! 121.82%
DE X 1000 NAC 9 0 0 0 ERROR:#N/A ERROR:#N/A 52339.000 61903.000 !! !! !! !! !! 118.27%
UV DE X 1000 mt 9 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 475.809 461.963 !! !! !! !! !! 97.09%
Q DE M 1000 mt 10 0 0 0 ERROR:#N/A ERROR:#N/A 4827.000 4908.000 !! !! !! !! !! 101.68%
DE M 1000 NAC 10 0 0 0 ERROR:#N/A ERROR:#N/A 767457.000 737508.000 !! !! !! !! !! 96.10%
UV DE M 1000 mt 10 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 158.993 150.267 !! !! !! !! !! 94.51%
Q DE X 1000 mt 10 0 0 0 ERROR:#N/A ERROR:#N/A 2927.000 2778.000 !! !! !! !! !! 94.91%
DE X 1000 NAC 10 0 0 0 ERROR:#N/A ERROR:#N/A 429092.000 340416.000 !! !! !! !! !! 79.33%
UV DE X 1000 mt 10 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 146.598 122.540 !! !! !! !! !! 83.59%
Q DE M 1000 mt 10_1 0 0 0 ERROR:#N/A ERROR:#N/A 11835.593 11610.687 !! !! !! !! !! 98.10%
DE M 1000 NAC 10_1 0 0 0 ERROR:#N/A ERROR:#N/A 8551922.000 9327463.112 !! !! !! !! !! 109.07%
UV DE M 1000 mt 10_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 722.560 803.352 !! !! !! !! !! 111.18%
Q DE X 1000 mt 10_1 0 0 0 ERROR:#N/A ERROR:#N/A 14269.567 14385.318 !! !! !! !! !! 100.81%
DE X 1000 NAC 10_1 0 0 0 ERROR:#N/A ERROR:#N/A 11507352.000 12338334.515 !! !! !! !! !! 107.22%
UV DE X 1000 mt 10_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 806.426 857.703 !! !! !! !! !! 106.36%
Q DE M 1000 mt 10_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 5559.091 5211.264 !! !! !! !! !! 93.74%
DE M 1000 NAC 10_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 3490134.000 3740378.524 !! !! !! !! !! 107.17%
UV DE M 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 627.825 717.749 !! !! !! !! !! 114.32%
Q DE X 1000 mt 10_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 5955.303 5677.786 !! !! !! !! !! 95.34%
DE X 1000 NAC 10_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 4269503.000 4415722.545 !! !! !! !! !! 103.42%
UV DE X 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 716.925 777.719 !! !! !! !! !! 108.48%
Q DE M 1000 mt 10_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 886.352 771.000 !! !! !! !! !! 86.99%
DE M 1000 NAC 10_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 395208.000 384722.330 !! !! !! !! !! 97.35%
UV DE M 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 445.881 498.991 !! !! !! !! !! 111.91%
Q DE X 1000 mt 10_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 675.923 462.000 !! !! !! !! !! 68.35%
DE X 1000 NAC 10_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 300363.000 227006.974 !! !! !! !! !! 75.58%
UV DE X 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 444.375 491.357 !! !! !! !! !! 110.57%
Q DE M 1000 mt 10_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 767.377 691.275 !! !! !! !! !! 90.08%
DE M 1000 NAC 10_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 464829.000 458019.223 !! !! !! !! !! 98.53%
UV DE M 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 605.737 662.571 !! !! !! !! !! 109.38%
Q DE X 1000 mt 10_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 975.504 1041.725 !! !! !! !! !! 106.79%
DE X 1000 NAC 10_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 497774.000 569920.470 !! !! !! !! !! 114.49%
UV DE X 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 510.274 547.093 !! !! !! !! !! 107.22%
Q DE M 1000 mt 10_1_4 0 0 0 ERROR:#N/A ERROR:#N/A 1278.459 1347.598 !! !! !! !! !! 105.41%
DE M 1000 NAC 10_1_4 0 0 0 ERROR:#N/A ERROR:#N/A 1025141.000 1148728.837 !! !! !! !! !! 112.06%
UV DE M 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 801.857 852.427 !! !! !! !! !! 106.31%
Q DE X 1000 mt 10_1_4 0 0 0 ERROR:#N/A ERROR:#N/A 1024.401 1005.841 !! !! !! !! !! 98.19%
DE X 1000 NAC 10_1_4 0 0 0 ERROR:#N/A ERROR:#N/A 1071846.000 1109931.243 !! !! !! !! !! 103.55%
UV DE X 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1046.315 1103.486 !! !! !! !! !! 105.46%
Q DE M 1000 mt 10_2 0 0 0 ERROR:#N/A ERROR:#N/A 2626.902 2401.391 !! !! !! !! !! 91.42%
DE M 1000 NAC 10_2 0 0 0 ERROR:#N/A ERROR:#N/A 1604956.000 1748908.133 !! !! !! !! !! 108.97%
UV DE M 1000 mt 10_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 610.969 728.290 !! !! !! !! !! 119.20%
Q DE X 1000 mt 10_2 0 0 0 ERROR:#N/A ERROR:#N/A 3279.476 3168.220 !! !! !! !! !! 96.61%
DE X 1000 NAC 10_2 0 0 0 ERROR:#N/A ERROR:#N/A 2399520.000 2508863.858 !! !! !! !! !! 104.56%
UV DE X 1000 mt 10_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 731.678 791.884 !! !! !! !! !! 108.23%
Q DE M 1000 mt 10_3 0 0 0 ERROR:#N/A ERROR:#N/A 680.666 650.687 !! !! !! !! !! 95.60%
DE M 1000 NAC 10_3 0 0 0 ERROR:#N/A ERROR:#N/A 936511.000 956258.999 !! !! !! !! !! 102.11%
UV DE M 1000 mt 10_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1375.874 1469.614 !! !! !! !! !! 106.81%
Q DE X 1000 mt 10_3 0 0 0 ERROR:#N/A ERROR:#N/A 725.340 719.318 !! !! !! !! !! 99.17%
DE X 1000 NAC 10_3 0 0 0 ERROR:#N/A ERROR:#N/A 1281899.000 1312745.128 !! !! !! !! !! 102.41%
UV DE X 1000 mt 10_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1767.307 1824.985 !! !! !! !! !! 103.26%
Q DE M 1000 mt 10_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 5395.062 5529.683 !! !! !! !! !! 102.50%
DE M 1000 NAC 10_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 3676246.000 4160235.366 !! !! !! !! !! 113.17%
UV DE M 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 681.409 752.346 !! !! !! !! !! 110.41%
Q DE X 1000 mt 10_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 7244.177 7645.230 !! !! !! !! !! 105.54%
DE X 1000 NAC 10_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 5169020.000 5798763.083 !! !! !! !! !! 112.18%
UV DE X 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 713.541 758.481 !! !! !! !! !! 106.30%
Q DE M 1000 mt 10_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 2731.172 2734.920 !! !! !! !! !! 100.14%
DE M 1000 NAC 10_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 1172563.000 1420271.451 !! !! !! !! !! 121.13%
UV DE M 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 429.326 519.310 !! !! !! !! !! 120.96%
Q DE X 1000 mt 10_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 4157.204 4403.496 !! !! !! !! !! 105.92%
DE X 1000 NAC 10_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 1804300.000 2187071.554 !! !! !! !! !! 121.21%
UV DE X 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 434.018 496.667 !! !! !! !! !! 114.43%
Q DE M 1000 mt 10_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 1423.602 1461.273 !! !! !! !! !! 102.65%
DE M 1000 NAC 10_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 1411320.000 1487577.880 !! !! !! !! !! 105.40%
UV DE M 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 991.373 1018.002 !! !! !! !! !! 102.69%
Q DE X 1000 mt 10_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 2091.513 2085.901 !! !! !! !! !! 99.73%
DE X 1000 NAC 10_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 2352647.000 2399159.682 !! !! !! !! !! 101.98%
UV DE X 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1124.854 1150.179 !! !! !! !! !! 102.25%
Q DE M 1000 mt 10_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 973.590 1049.327 !! !! !! !! !! 107.78%
DE M 1000 NAC 10_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 892991.000 1040380.723 !! !! !! !! !! 116.51%
UV DE M 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 917.215 991.475 !! !! !! !! !! 108.10%
Q DE X 1000 mt 10_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 672.954 856.329 !! !! !! !! !! 127.25%
DE X 1000 NAC 10_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 792230.000 999389.938 !! !! !! !! !! 126.15%
UV DE X 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1177.242 1167.063 !! !! !! !! !! 99.14%
Q DE M 1000 mt 10_4 0 0 0 ERROR:#N/A ERROR:#N/A 266.698 284.164 !! !! !! !! !! 106.55%
DE M 1000 NAC 10_4 0 0 0 ERROR:#N/A ERROR:#N/A 199372.000 212005.310 !! !! !! !! !! 106.34%
UV DE M 1000 mt 10_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 747.558 746.068 !! !! !! !! !! 99.80%
Q DE X 1000 mt 10_4 0 0 0 ERROR:#N/A ERROR:#N/A 322.506 299.504 !! !! !! !! !! 92.87%
DE X 1000 NAC 10_4 0 0 0 ERROR:#N/A ERROR:#N/A 219843.000 213141.908 !! !! !! !! !! 96.95%
UV DE X 1000 mt 10_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 681.672 711.650 !! !! !! !! !! 104.40%

TS-JQ3

% Min: 80% Max: 120% Notes
JQ3 Country Flow Unit Product 2013 2014 2015 2016 2017 2017 2018 13/14 14/15 15/16 16/17 17/17 17/18 2013 2014 2015 2016
DE M 1000 NAC 11_1 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_1_C 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_2 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_3 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_4 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_5 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_6 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_7 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 11_7_1 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_1 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_2 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_3 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_4 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_5 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_6 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_6_1 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_6_2 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_6_3 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_7 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_7_1 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_7_2 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE M 1000 NAC 12_7_3 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_1 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_1_C 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_2 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_3 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_4 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_5 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_6 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_7 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 11_7_1 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_1 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_2 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_3 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_4 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_5 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_6 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_6_1 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_6_2 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!
DE X 1000 NAC 12_6_3 0 0 0 ERROR:#N/A ERROR:#N/A ERROR:#N/A ERROR:#N/A !! !! !! !! !! !!

TS-ECEEU

% Min: 80% Max: 120% Notes
ECEEU Country Flow Unit Product 2013 2014 2015 2016 2017 2017 2018 13/14 14/15 15/16 16/17 17/17 17/18 2013 2014 2015 2016
Q DE M 1000 m3 ST_1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 8247.709 8301.870 !! !! !! !! !! 100.66%
DE M 1000 NAC ST_1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 511457.000 472957.000 !! !! !! !! !! 92.47%
UV DE M 1000 m3 ST_1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 62.012 56.970 !! !! !! !! !! 91.87%
Q DE X 1000 m3 ST_1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 2907.548 3781.902 !! !! !! !! !! 130.07%
DE X 1000 NAC ST_1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 209051.000 269390.000 !! !! !! !! !! 128.86%
UV DE X 1000 m3 ST_1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 71.899 71.231 !! !! !! !! !! 99.07%
Q DE M 1000 m3 ST_1_2_C_1 0 0 0 ERROR:#N/A ERROR:#N/A 5145.648 4923.005 !! !! !! !! !! 95.67%
DE M 1000 NAC ST_1_2_C_1 0 0 0 ERROR:#N/A ERROR:#N/A 355316.000 313536.000 !! !! !! !! !! 88.24%
UV DE M 1000 m3 ST_1_2_C_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 69.052 63.688 !! !! !! !! !! 92.23%
Q DE X 1000 m3 ST_1_2_C_1 0 0 0 ERROR:#N/A ERROR:#N/A 2120.666 2926.613 !! !! !! !! !! 138.00%
DE X 1000 NAC ST_1_2_C_1 0 0 0 ERROR:#N/A ERROR:#N/A 151900.000 211739.000 !! !! !! !! !! 139.39%
UV DE X 1000 m3 ST_1_2_C_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 71.628 72.350 !! !! !! !! !! 101.01%
Q DE M 1000 m3 ST_1_2_C_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 3614.713 3460.291 !! !! !! !! !! 95.73%
DE M 1000 NAC ST_1_2_C_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 276803.000 249171.000 !! !! !! !! !! 90.02%
UV DE M 1000 m3 ST_1_2_C_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 76.577 72.009 !! !! !! !! !! 94.03%
Q DE X 1000 m3 ST_1_2_C_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 1478.788 2175.895 !! !! !! !! !! 147.14%
DE X 1000 NAC ST_1_2_C_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 111556.000 164977.000 !! !! !! !! !! 147.89%
UV DE X 1000 m3 ST_1_2_C_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 75.437 75.820 !! !! !! !! !! 100.51%
Q DE M 1000 m3 ST_1_2_C_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 917.717 896.579 !! !! !! !! !! 97.70%
DE M 1000 NAC ST_1_2_C_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 63103.000 62149.000 !! !! !! !! !! 98.49%
UV DE M 1000 m3 ST_1_2_C_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 68.761 69.318 !! !! !! !! !! 100.81%
Q DE X 1000 m3 ST_1_2_C_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 379.772 340.516 !! !! !! !! !! 89.66%
DE X 1000 NAC ST_1_2_C_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 27564.000 24075.000 !! !! !! !! !! 87.34%
UV DE X 1000 m3 ST_1_2_C_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 72.580 70.702 !! !! !! !! !! 97.41%
Q DE M 1000 m3 ST_1_2_C_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 163.058 120.790 !! !! !! !! !! 74.08%
DE M 1000 NAC ST_1_2_C_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 11031.000 8101.000 !! !! !! !! !! 73.44%
UV DE M 1000 m3 ST_1_2_C_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 67.651 67.067 !! !! !! !! !! 99.14%
Q DE X 1000 m3 ST_1_2_C_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 134.805 196.999 !! !! !! !! !! 146.14%
DE X 1000 NAC ST_1_2_C_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 12353.000 14513.000 !! !! !! !! !! 117.49%
UV DE X 1000 m3 ST_1_2_C_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 91.636 73.670 !! !! !! !! !! 80.39%
Q DE M 1000 m3 ST_1_2_C_2 0 0 0 ERROR:#N/A ERROR:#N/A 2543.136 2829.062 !! !! !! !! !! 111.24%
DE M 1000 NAC ST_1_2_C_2 0 0 0 ERROR:#N/A ERROR:#N/A 126065.000 129401.000 !! !! !! !! !! 102.65%
UV DE M 1000 m3 ST_1_2_C_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 49.571 45.740 !! !! !! !! !! 92.27%
Q DE X 1000 m3 ST_1_2_C_2 0 0 0 ERROR:#N/A ERROR:#N/A 569.764 549.616 !! !! !! !! !! 96.46%
DE X 1000 NAC ST_1_2_C_2 0 0 0 ERROR:#N/A ERROR:#N/A 37344.000 34615.000 !! !! !! !! !! 92.69%
UV DE X 1000 m3 ST_1_2_C_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 65.543 62.980 !! !! !! !! !! 96.09%
Q DE M 1000 m3 ST_1_2_C_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 1530.935 1462.714 !! !! !! !! !! 95.54%
DE M 1000 NAC ST_1_2_C_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 78513.000 64365.000 !! !! !! !! !! 81.98%
UV DE M 1000 m3 ST_1_2_C_2_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 51.284 44.004 !! !! !! !! !! 85.80%
Q DE X 1000 m3 ST_1_2_C_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 641.878 750.718 !! !! !! !! !! 116.96%
DE X 1000 NAC ST_1_2_C_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 40344.000 46762.000 !! !! !! !! !! 115.91%
UV DE X 1000 m3 ST_1_2_C_2_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 62.853 62.290 !! !! !! !! !! 99.10%
Q DE M 1000 m3 ST_1_2_C_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 1625.419 1932.483 !! !! !! !! !! 118.89%
DE M 1000 NAC ST_1_2_C_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 62962.000 67252.000 !! !! !! !! !! 106.81%
UV DE M 1000 m3 ST_1_2_C_2_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 38.736 34.801 !! !! !! !! !! 89.84%
Q DE X 1000 m3 ST_1_2_C_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 189.992 209.100 !! !! !! !! !! 110.06%
DE X 1000 NAC ST_1_2_C_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 9780.000 10540.000 !! !! !! !! !! 107.77%
UV DE X 1000 m3 ST_1_2_C_2_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 51.476 50.407 !! !! !! !! !! 97.92%
Q DE M 1000 m3 ST_1_2_C_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 329.837 419.714 !! !! !! !! !! 127.25%
DE M 1000 NAC ST_1_2_C_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 12544.000 18390.000 !! !! !! !! !! 146.60%
UV DE M 1000 m3 ST_1_2_C_2_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 38.031 43.816 !! !! !! !! !! 115.21%
Q DE X 1000 m3 ST_1_2_C_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 72.978 102.326 !! !! !! !! !! 140.21%
DE X 1000 NAC ST_1_2_C_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 4021.000 6231.000 !! !! !! !! !! 154.96%
UV DE X 1000 m3 ST_1_2_C_2_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 55.099 60.894 !! !! !! !! !! 110.52%
Q DE M 1000 m3 ST_1_2_C_3 0 0 0 ERROR:#N/A ERROR:#N/A 492.895 540.504 !! !! !! !! !! 109.66%
DE M 1000 NAC ST_1_2_C_3 0 0 0 ERROR:#N/A ERROR:#N/A 23575.000 26491.000 !! !! !! !! !! 112.37%
UV DE M 1000 m3 ST_1_2_C_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 47.830 49.012 !! !! !! !! !! 102.47%
Q DE X 1000 m3 ST_1_2_C_3 0 0 0 ERROR:#N/A ERROR:#N/A 207.783 299.325 !! !! !! !! !! 144.06%
DE X 1000 NAC ST_1_2_C_3 0 0 0 ERROR:#N/A ERROR:#N/A 16374.000 20744.000 !! !! !! !! !! 126.69%
UV DE X 1000 m3 ST_1_2_C_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 78.803 69.303 !! !! !! !! !! 87.94%
Q DE M 1000 m3 ST_1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 534.920 523.450 !! !! !! !! !! 97.86%
DE M 1000 NAC ST_1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 55158.000 54017.000 !! !! !! !! !! 97.93%
UV DE M 1000 m3 ST_1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 103.114 103.194 !! !! !! !! !! 100.08%
Q DE X 1000 m3 ST_1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 1351.356 1470.734 !! !! !! !! !! 108.83%
DE X 1000 NAC ST_1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 164429.000 181479.000 !! !! !! !! !! 110.37%
UV DE X 1000 m3 ST_1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 121.677 123.393 !! !! !! !! !! 101.41%
Q DE M 1000 m3 ST_1_2_NC_1 0 0 0 ERROR:#N/A ERROR:#N/A 64.055 47.674 !! !! !! !! !! 74.43%
DE M 1000 NAC ST_1_2_NC_1 0 0 0 ERROR:#N/A ERROR:#N/A 13496.000 12600.000 !! !! !! !! !! 93.36%
UV DE M 1000 m3 ST_1_2_NC_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 210.694 264.295 !! !! !! !! !! 125.44%
Q DE X 1000 m3 ST_1_2_NC_1 0 0 0 ERROR:#N/A ERROR:#N/A 195.857 248.365 !! !! !! !! !! 126.81%
DE X 1000 NAC ST_1_2_NC_1 0 0 0 ERROR:#N/A ERROR:#N/A 36549.000 44986.000 !! !! !! !! !! 123.08%
UV DE X 1000 m3 ST_1_2_NC_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 186.611 181.129 !! !! !! !! !! 97.06%
Q DE M 1000 m3 ST_1_2_NC_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 93.819 109.760 !! !! !! !! !! 116.99%
DE M 1000 NAC ST_1_2_NC_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 4438.000 5114.000 !! !! !! !! !! 115.23%
UV DE M 1000 m3 ST_1_2_NC_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 47.304 46.593 !! !! !! !! !! 98.50%
Q DE X 1000 m3 ST_1_2_NC_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 846.241 849.978 !! !! !! !! !! 100.44%
DE X 1000 NAC ST_1_2_NC_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 89627.000 94865.000 !! !! !! !! !! 105.84%
UV DE X 1000 m3 ST_1_2_NC_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 105.912 111.609 !! !! !! !! !! 105.38%
Q DE M 1000 m3 ST_1_2_NC_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 105.575 64.655 !! !! !! !! !! 61.24%
DE M 1000 NAC ST_1_2_NC_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 4190.000 3800.000 !! !! !! !! !! 90.69%
UV DE M 1000 m3 ST_1_2_NC_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 39.687 58.773 !! !! !! !! !! 148.09%
Q DE X 1000 m3 ST_1_2_NC_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 9.640 59.623 !! !! !! !! !! 618.50%
DE X 1000 NAC ST_1_2_NC_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 468.000 3650.000 !! !! !! !! !! 779.91%
UV DE X 1000 m3 ST_1_2_NC_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 48.548 61.218 !! !! !! !! !! 126.10%
Q DE M 1000 m3 ST_1_2_NC_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 4819.193 5106.065 !! !! !! !! !! 105.95%
DE M 1000 NAC ST_1_2_NC_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 1002239.000 1089823.000 !! !! !! !! !! 108.74%
UV DE M 1000 m3 ST_1_2_NC_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 207.968 213.437 !! !! !! !! !! 102.63%
Q DE X 1000 m3 ST_1_2_NC_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 7537.694 8223.141 !! !! !! !! !! 109.09%
DE X 1000 NAC ST_1_2_NC_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 1520268.000 1752844.000 !! !! !! !! !! 115.30%
UV DE X 1000 m3 ST_1_2_NC_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 201.689 213.160 !! !! !! !! !! 105.69%
Q DE M 1000 m3 ST_1_2_NC_2 0 0 0 ERROR:#N/A ERROR:#N/A 0.077 0.019 !! !! !! !! !! 24.68%
DE M 1000 NAC ST_1_2_NC_2 0 0 0 ERROR:#N/A ERROR:#N/A 10.000 98.000 !! !! !! !! !! 980.00%
UV DE M 1000 m3 ST_1_2_NC_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 129.870 5157.895 !! !! !! !! !! 3971.58%
Q DE X 1000 m3 ST_1_2_NC_2 0 0 0 ERROR:#N/A ERROR:#N/A 1.088 0.094 !! !! !! !! !! 8.64%
DE X 1000 NAC ST_1_2_NC_2 0 0 0 ERROR:#N/A ERROR:#N/A 61.000 30.000 !! !! !! !! !! 49.18%
UV DE X 1000 m3 ST_1_2_NC_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 56.066 319.149 !! !! !! !! !! 569.24%
Q DE M 1000 m3 ST_1_2_NC_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 105.652 64.674 !! !! !! !! !! 61.21%
DE M 1000 NAC ST_1_2_NC_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 4200.000 3898.000 !! !! !! !! !! 92.81%
UV DE M 1000 m3 ST_1_2_NC_2_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 39.753 60.272 !! !! !! !! !! 151.61%
Q DE X 1000 m3 ST_1_2_NC_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 10.728 59.717 !! !! !! !! !! 556.65%
DE X 1000 NAC ST_1_2_NC_2_1 0 0 0 ERROR:#N/A ERROR:#N/A 529.000 3680.000 !! !! !! !! !! 695.65%
UV DE X 1000 m3 ST_1_2_NC_2_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 49.310 61.624 !! !! !! !! !! 124.97%
Q DE M 1000 m3 ST_1_2_NC_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 77.243 67.083 !! !! !! !! !! 86.85%
DE M 1000 NAC ST_1_2_NC_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 2580.000 2586.000 !! !! !! !! !! 100.23%
UV DE M 1000 m3 ST_1_2_NC_2_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 33.401 38.549 !! !! !! !! !! 115.41%
Q DE X 1000 m3 ST_1_2_NC_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 40.339 23.769 !! !! !! !! !! 58.92%
DE X 1000 NAC ST_1_2_NC_2_2 0 0 0 ERROR:#N/A ERROR:#N/A 2692.000 1516.000 !! !! !! !! !! 56.32%
UV DE X 1000 m3 ST_1_2_NC_2_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 66.734 63.781 !! !! !! !! !! 95.57%
Q DE M 1000 m3 ST_1_2_NC_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 3316.043 3506.135 !! !! !! !! !! 105.73%
DE M 1000 NAC ST_1_2_NC_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 690263.000 759759.000 !! !! !! !! !! 110.07%
UV DE M 1000 m3 ST_1_2_NC_2_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 208.159 216.694 !! !! !! !! !! 104.10%
Q DE X 1000 m3 ST_1_2_NC_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 4900.540 5512.555 !! !! !! !! !! 112.49%
DE X 1000 NAC ST_1_2_NC_2_3 0 0 0 ERROR:#N/A ERROR:#N/A 1009349.000 1186597.000 !! !! !! !! !! 117.56%
UV DE X 1000 m3 ST_1_2_NC_2_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 205.967 215.254 !! !! !! !! !! 104.51%
Q DE M 1000 m3 ST_1_2_NC_3 0 0 0 ERROR:#N/A ERROR:#N/A 0.842 0.873 !! !! !! !! !! 103.68%
DE M 1000 NAC ST_1_2_NC_3 0 0 0 ERROR:#N/A ERROR:#N/A 732.000 885.000 !! !! !! !! !! 120.90%
UV DE M 1000 m3 ST_1_2_NC_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 869.359 1013.746 !! !! !! !! !! 116.61%
Q DE X 1000 m3 ST_1_2_NC_3 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE X 1000 NAC ST_1_2_NC_3 0 0 0 ERROR:#N/A ERROR:#N/A 1.000 1.000 !! !! !! !! !! 100.00%
UV DE X 1000 m3 ST_1_2_NC_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE M 1000 m3 ST_1_2_NC_4 0 0 0 ERROR:#N/A ERROR:#N/A 986.512 1035.313 !! !! !! !! !! 104.95%
DE M 1000 NAC ST_1_2_NC_4 0 0 0 ERROR:#N/A ERROR:#N/A 171093.000 174601.000 !! !! !! !! !! 102.05%
UV DE M 1000 m3 ST_1_2_NC_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 173.432 168.646 !! !! !! !! !! 97.24%
Q DE X 1000 m3 ST_1_2_NC_4 0 0 0 ERROR:#N/A ERROR:#N/A 1844.988 1917.092 !! !! !! !! !! 103.91%
DE X 1000 NAC ST_1_2_NC_4 0 0 0 ERROR:#N/A ERROR:#N/A 355662.000 394756.000 !! !! !! !! !! 110.99%
UV DE X 1000 m3 ST_1_2_NC_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 192.772 205.914 !! !! !! !! !! 106.82%
Q DE M 1000 m3 ST_1_2_NC_5 0 0 0 ERROR:#N/A ERROR:#N/A 416.624 387.874 !! !! !! !! !! 93.10%
DE M 1000 NAC ST_1_2_NC_5 0 0 0 ERROR:#N/A ERROR:#N/A 230986.000 232119.000 !! !! !! !! !! 100.49%
UV DE M 1000 m3 ST_1_2_NC_5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 554.423 598.439 !! !! !! !! !! 107.94%
Q DE X 1000 m3 ST_1_2_NC_5 0 0 0 ERROR:#N/A ERROR:#N/A 810.748 770.780 !! !! !! !! !! 95.07%
DE X 1000 NAC ST_1_2_NC_5 0 0 0 ERROR:#N/A ERROR:#N/A 395508.000 379107.000 !! !! !! !! !! 95.85%
UV DE X 1000 m3 ST_1_2_NC_5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 487.831 491.849 !! !! !! !! !! 100.82%
Q DE M 1000 m3 ST_5_C 0 0 0 ERROR:#N/A ERROR:#N/A 119.845 106.011 !! !! !! !! !! 88.46%
DE M 1000 NAC ST_5_C 0 0 0 ERROR:#N/A ERROR:#N/A 95696.000 89088.000 !! !! !! !! !! 93.09%
UV DE M 1000 m3 ST_5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 798.498 840.366 !! !! !! !! !! 105.24%
Q DE X 1000 m3 ST_5_C 0 0 0 ERROR:#N/A ERROR:#N/A 144.608 129.140 !! !! !! !! !! 89.30%
DE X 1000 NAC ST_5_C 0 0 0 ERROR:#N/A ERROR:#N/A 95158.000 88929.000 !! !! !! !! !! 93.45%
UV DE X 1000 m3 ST_5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 658.041 688.625 !! !! !! !! !! 104.65%
Q DE M 1000 m3 ST_5_C_1 0 0 0 ERROR:#N/A ERROR:#N/A 22.758 23.855 !! !! !! !! !! 104.82%
DE M 1000 NAC ST_5_C_1 0 0 0 ERROR:#N/A ERROR:#N/A 9667.000 10132.000 !! !! !! !! !! 104.81%
UV DE M 1000 m3 ST_5_C_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 424.774 424.733 !! !! !! !! !! 99.99%
Q DE X 1000 m3 ST_5_C_1 0 0 0 ERROR:#N/A ERROR:#N/A 556.577 532.003 !! !! !! !! !! 95.58%
DE X 1000 NAC ST_5_C_1 0 0 0 ERROR:#N/A ERROR:#N/A 217750.000 209011.000 !! !! !! !! !! 95.99%
UV DE X 1000 m3 ST_5_C_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 391.231 392.876 !! !! !! !! !! 100.42%
Q DE M 1000 m3 ST_5_C_2 0 0 0 ERROR:#N/A ERROR:#N/A 3.551 3.628 !! !! !! !! !! 102.17%
DE M 1000 NAC ST_5_C_2 0 0 0 ERROR:#N/A ERROR:#N/A 2959.000 3089.000 !! !! !! !! !! 104.39%
UV DE M 1000 m3 ST_5_C_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 833.286 851.433 !! !! !! !! !! 102.18%
Q DE X 1000 m3 ST_5_C_2 0 0 0 ERROR:#N/A ERROR:#N/A 3.865 2.626 !! !! !! !! !! 67.94%
DE X 1000 NAC ST_5_C_2 0 0 0 ERROR:#N/A ERROR:#N/A 2691.000 2177.000 !! !! !! !! !! 80.90%
UV DE X 1000 m3 ST_5_C_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 696.248 829.018 !! !! !! !! !! 119.07%
Q DE M 1000 m3 ST_5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 1.303 1.202 !! !! !! !! !! 92.25%
DE M 1000 NAC ST_5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 1145.000 1051.000 !! !! !! !! !! 91.79%
UV DE M 1000 m3 ST_5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 878.741 874.376 !! !! !! !! !! 99.50%
Q DE X 1000 m3 ST_5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 0.355 0.491 !! !! !! !! !! 138.31%
DE X 1000 NAC ST_5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 346.000 443.000 !! !! !! !! !! 128.03%
UV DE X 1000 m3 ST_5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 974.648 902.240 !! !! !! !! !! 92.57%
Q DE M 1000 m3 ST_5_NC_1 0 0 0 ERROR:#N/A ERROR:#N/A 11.660 12.333 !! !! !! !! !! 105.77%
DE M 1000 NAC ST_5_NC_1 0 0 0 ERROR:#N/A ERROR:#N/A 5752.000 6230.000 !! !! !! !! !! 108.31%
UV DE M 1000 m3 ST_5_NC_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 493.310 505.149 !! !! !! !! !! 102.40%
Q DE X 1000 m3 ST_5_NC_1 0 0 0 ERROR:#N/A ERROR:#N/A 24.489 32.873 !! !! !! !! !! 134.24%
DE X 1000 NAC ST_5_NC_1 0 0 0 ERROR:#N/A ERROR:#N/A 9731.000 12521.000 !! !! !! !! !! 128.67%
UV DE X 1000 m3 ST_5_NC_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 397.362 380.890 !! !! !! !! !! 95.85%
Q DE M 1000 m3 ST_5_NC_2 0 0 0 ERROR:#N/A ERROR:#N/A 17.911 19.339 !! !! !! !! !! 107.97%
DE M 1000 NAC ST_5_NC_2 0 0 0 ERROR:#N/A ERROR:#N/A 2550.000 2800.000 !! !! !! !! !! 109.80%
UV DE M 1000 m3 ST_5_NC_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 142.371 144.785 !! !! !! !! !! 101.70%
Q DE X 1000 m3 ST_5_NC_2 0 0 0 ERROR:#N/A ERROR:#N/A 4.512 3.495 !! !! !! !! !! 77.46%
DE X 1000 NAC ST_5_NC_2 0 0 0 ERROR:#N/A ERROR:#N/A 875.000 732.000 !! !! !! !! !! 83.66%
UV DE X 1000 m3 ST_5_NC_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 193.927 209.442 !! !! !! !! !! 108.00%
Q DE M 1000 m3 ST_5_NC_3 0 0 0 ERROR:#N/A ERROR:#N/A 46.467 15.825 !! !! !! !! !! 34.06%
DE M 1000 NAC ST_5_NC_3 0 0 0 ERROR:#N/A ERROR:#N/A 6401.000 2212.000 !! !! !! !! !! 34.56%
UV DE M 1000 m3 ST_5_NC_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 137.754 139.779 !! !! !! !! !! 101.47%
Q DE X 1000 m3 ST_5_NC_3 0 0 0 ERROR:#N/A ERROR:#N/A 0.923 1.316 !! !! !! !! !! 142.58%
DE X 1000 NAC ST_5_NC_3 0 0 0 ERROR:#N/A ERROR:#N/A 362.000 283.000 !! !! !! !! !! 78.18%
UV DE X 1000 m3 ST_5_NC_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 392.199 215.046 !! !! !! !! !! 54.83%
Q DE M 1000 m3 ST_5_NC_4 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE M 1000 NAC ST_5_NC_4 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE M 1000 m3 ST_5_NC_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE X 1000 m3 ST_5_NC_4 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE X 1000 NAC ST_5_NC_4 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE X 1000 m3 ST_5_NC_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE M 1000 m3 ST_5_NC_5 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE M 1000 NAC ST_5_NC_5 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE M 1000 m3 ST_5_NC_5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE X 1000 m3 ST_5_NC_5 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE X 1000 NAC ST_5_NC_5 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE X 1000 m3 ST_5_NC_5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE M 1000 m3 ST_5_NC_6 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE M 1000 NAC ST_5_NC_6 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE M 1000 m3 ST_5_NC_6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE X 1000 m3 ST_5_NC_6 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE X 1000 NAC ST_5_NC_6 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE X 1000 m3 ST_5_NC_6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE M 1000 m3 ST_5_NC_7 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE M 1000 NAC ST_5_NC_7 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE M 1000 m3 ST_5_NC_7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!
Q DE X 1000 m3 ST_5_NC_7 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
DE X 1000 NAC ST_5_NC_7 0 0 0 ERROR:#N/A ERROR:#N/A 0.000 0.000 !! !! !! !! !! !!
UV DE X 1000 m3 ST_5_NC_7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A ERROR:#DIV/0! ERROR:#DIV/0! !! !! !! !! !! !!

TS-EU1

% Min: 80% Max: 120% Notes
EU1 Country Flow Unit Product 2013 2014 2015 2016 2017 2017 2018 13/14 14/15 15/16 16/17 17/17 17/18 2013 2014 2015 2016
Q DE EX_M 1000 m3 1 0 0 0 ERROR:#N/A ERROR:#N/A 1129.098 875.686 !! !! !! !! !! 77.56%
DE EX_M 1000 NAC 1 0 0 0 ERROR:#N/A ERROR:#N/A 100884.000 84885.000 !! !! !! !! !! 84.14%
UV DE EX_M 1000 m3 1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 89.349 96.935 !! !! !! !! !! 108.49%
Q DE EX_X 1000 m3 1 0 0 0 ERROR:#N/A ERROR:#N/A 883.455 1258.392 !! !! !! !! !! 142.44%
DE EX_X 1000 NAC 1 0 0 0 ERROR:#N/A ERROR:#N/A 131168.000 177191.000 !! !! !! !! !! 135.09%
UV DE EX_X 1000 m3 1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 148.472 140.807 !! !! !! !! !! 94.84%
Q DE EX_M 1000 m3 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 157.293 149.719 !! !! !! !! !! 95.18%
DE EX_M 1000 NAC 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 15596.000 16040.000 !! !! !! !! !! 102.85%
UV DE EX_M 1000 m3 1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 99.153 107.134 !! !! !! !! !! 108.05%
Q DE EX_X 1000 m3 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 3.162 3.382 !! !! !! !! !! 106.96%
DE EX_X 1000 NAC 1_1 0 0 0 ERROR:#N/A ERROR:#N/A 853.000 1087.000 !! !! !! !! !! 127.43%
UV DE EX_X 1000 m3 1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 269.766 321.407 !! !! !! !! !! 119.14%
Q DE EX_M 1000 m3 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 17.743 14.557 !! !! !! !! !! 82.04%
DE EX_M 1000 NAC 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 1525.000 1547.000 !! !! !! !! !! 101.44%
UV DE EX_M 1000 m3 1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 85.949 106.272 !! !! !! !! !! 123.64%
Q DE EX_X 1000 m3 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 0.004 0.023 !! !! !! !! !! 575.00%
DE EX_X 1000 NAC 1_2 0 0 0 ERROR:#N/A ERROR:#N/A 5.000 21.000 !! !! !! !! !! 420.00%
UV DE EX_X 1000 m3 1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1250.000 913.043 !! !! !! !! !! 73.04%
Q DE EX_M 1000 m3 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 139.550 135.162 !! !! !! !! !! 96.86%
DE EX_M 1000 NAC 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 14071.000 14493.000 !! !! !! !! !! 103.00%
UV DE EX_M 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 100.831 107.227 !! !! !! !! !! 106.34%
Q DE EX_X 1000 m3 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 3.158 3.359 !! !! !! !! !! 106.36%
DE EX_X 1000 NAC 1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 848.000 1066.000 !! !! !! !! !! 125.71%
UV DE EX_X 1000 m3 1_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 268.524 317.356 !! !! !! !! !! 118.19%
Q DE EX_M 1000 m3 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 971.805 725.967 !! !! !! !! !! 74.70%
DE EX_M 1000 NAC 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 85288.000 68845.000 !! !! !! !! !! 80.72%
UV DE EX_M 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 87.762 94.832 !! !! !! !! !! 108.06%
Q DE EX_X 1000 m3 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 880.293 1255.010 !! !! !! !! !! 142.57%
DE EX_X 1000 NAC 1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 130315.000 176104.000 !! !! !! !! !! 135.14%
UV DE EX_X 1000 m3 1_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 148.036 140.321 !! !! !! !! !! 94.79%
Q DE EX_M 1000 m3 1_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 920.363 650.634 !! !! !! !! !! 70.69%
DE EX_M 1000 NAC 1_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 64465.000 49166.000 !! !! !! !! !! 76.27%
UV DE EX_M 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 70.043 75.566 !! !! !! !! !! 107.89%
Q DE EX_X 1000 m3 1_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 173.524 548.498 !! !! !! !! !! 316.09%
DE EX_X 1000 NAC 1_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 17605.000 52213.000 !! !! !! !! !! 296.58%
UV DE EX_X 1000 m3 1_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 101.456 95.193 !! !! !! !! !! 93.83%
Q DE EX_M 1000 mt 2 0 0 0 ERROR:#N/A ERROR:#N/A 51.442 75.333 !! !! !! !! !! 146.44%
DE EX_M 1000 NAC 2 0 0 0 ERROR:#N/A ERROR:#N/A 20823.000 19679.000 !! !! !! !! !! 94.51%
UV DE EX_M 1000 mt 2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 404.786 261.227 !! !! !! !! !! 64.53%
Q DE EX_X 1000 mt 2 0 0 0 ERROR:#N/A ERROR:#N/A 706.769 706.512 !! !! !! !! !! 99.96%
DE EX_X 1000 NAC 2 0 0 0 ERROR:#N/A ERROR:#N/A 112710.000 123891.000 !! !! !! !! !! 109.92%
UV DE EX_X 1000 mt 2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 159.472 175.356 !! !! !! !! !! 109.96%
Q DE EX_M 1000 m3 3 0 0 0 ERROR:#N/A ERROR:#N/A 11.259 7.992 !! !! !! !! !! 70.98%
DE EX_M 1000 NAC 3 0 0 0 ERROR:#N/A ERROR:#N/A 5789.000 4058.000 !! !! !! !! !! 70.10%
UV DE EX_M 1000 m3 3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 514.166 507.758 !! !! !! !! !! 98.75%
Q DE EX_X 1000 m3 3 0 0 0 ERROR:#N/A ERROR:#N/A 0.243 0.189 !! !! !! !! !! 77.78%
DE EX_X 1000 NAC 3 0 0 0 ERROR:#N/A ERROR:#N/A 588.000 709.000 !! !! !! !! !! 120.58%
UV DE EX_X 1000 m3 3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 2419.753 3751.323 !! !! !! !! !! 155.03%
Q DE EX_M 1000 m3 3_1 0 0 0 ERROR:#N/A ERROR:#N/A 112.030 103.797 !! !! !! !! !! 92.65%
DE EX_M 1000 NAC 3_1 0 0 0 ERROR:#N/A ERROR:#N/A 48700.000 48726.000 !! !! !! !! !! 100.05%
UV DE EX_M 1000 m3 3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 434.705 469.436 !! !! !! !! !! 107.99%
Q DE EX_X 1000 m3 3_1 0 0 0 ERROR:#N/A ERROR:#N/A 3.058 3.575 !! !! !! !! !! 116.91%
DE EX_X 1000 NAC 3_1 0 0 0 ERROR:#N/A ERROR:#N/A 2548.000 3258.000 !! !! !! !! !! 127.86%
UV DE EX_X 1000 m3 3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 833.224 911.329 !! !! !! !! !! 109.37%
Q DE EX_M 1000 m3 3_2 0 0 0 ERROR:#N/A ERROR:#N/A 60.496 30.450 !! !! !! !! !! 50.33%
DE EX_M 1000 NAC 3_2 0 0 0 ERROR:#N/A ERROR:#N/A 1790.000 981.000 !! !! !! !! !! 54.80%
UV DE EX_M 1000 m3 3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 29.589 32.217 !! !! !! !! !! 108.88%
Q DE EX_X 1000 m3 3_2 0 0 0 ERROR:#N/A ERROR:#N/A 299.191 328.264 !! !! !! !! !! 109.72%
DE EX_X 1000 NAC 3_2 0 0 0 ERROR:#N/A ERROR:#N/A 19408.000 23779.000 !! !! !! !! !! 122.52%
UV DE EX_X 1000 m3 3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 64.868 72.439 !! !! !! !! !! 111.67%
Q DE EX_M 1000 mt 4 0 0 0 ERROR:#N/A ERROR:#N/A 36.139 26.710 !! !! !! !! !! 73.91%
DE EX_M 1000 NAC 4 0 0 0 ERROR:#N/A ERROR:#N/A 1191.000 819.000 !! !! !! !! !! 68.77%
UV DE EX_M 1000 mt 4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 32.956 30.663 !! !! !! !! !! 93.04%
Q DE EX_X 1000 mt 4 0 0 0 ERROR:#N/A ERROR:#N/A 221.796 220.268 !! !! !! !! !! 99.31%
DE EX_X 1000 NAC 4 0 0 0 ERROR:#N/A ERROR:#N/A 13132.000 14108.000 !! !! !! !! !! 107.43%
UV DE EX_X 1000 mt 4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 59.208 64.049 !! !! !! !! !! 108.18%
Q DE EX_M 1000 mt 4_1 0 0 0 ERROR:#N/A ERROR:#N/A 24.357 3.740 !! !! !! !! !! 15.35%
DE EX_M 1000 NAC 4_1 0 0 0 ERROR:#N/A ERROR:#N/A 599.000 162.000 !! !! !! !! !! 27.05%
UV DE EX_M 1000 mt 4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 24.593 43.316 !! !! !! !! !! 176.13%
Q DE EX_X 1000 mt 4_1 0 0 0 ERROR:#N/A ERROR:#N/A 77.395 107.996 !! !! !! !! !! 139.54%
DE EX_X 1000 NAC 4_1 0 0 0 ERROR:#N/A ERROR:#N/A 6276.000 9671.000 !! !! !! !! !! 154.09%
UV DE EX_X 1000 mt 4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 81.091 89.550 !! !! !! !! !! 110.43%
Q DE EX_M 1000 mt 4_2 0 0 0 ERROR:#N/A ERROR:#N/A 128.583 158.470 !! !! !! !! !! 123.24%
DE EX_M 1000 NAC 4_2 0 0 0 ERROR:#N/A ERROR:#N/A 2605.000 3475.000 !! !! !! !! !! 133.40%
UV DE EX_M 1000 mt 4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 20.259 21.928 !! !! !! !! !! 108.24%
Q DE EX_X 1000 mt 4_2 0 0 0 ERROR:#N/A ERROR:#N/A 39.922 24.349 !! !! !! !! !! 60.99%
DE EX_X 1000 NAC 4_2 0 0 0 ERROR:#N/A ERROR:#N/A 8164.000 4805.000 !! !! !! !! !! 58.86%
UV DE EX_X 1000 mt 4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 204.499 197.339 !! !! !! !! !! 96.50%
Q DE EX_M 1000 m3 5 0 0 0 ERROR:#N/A ERROR:#N/A 188.019 190.344 !! !! !! !! !! 101.24%
DE EX_M 1000 NAC 5 0 0 0 ERROR:#N/A ERROR:#N/A 22225.000 26385.000 !! !! !! !! !! 118.72%
UV DE EX_M 1000 m3 5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 118.206 138.617 !! !! !! !! !! 117.27%
Q DE EX_X 1000 m3 5 0 0 0 ERROR:#N/A ERROR:#N/A 60.010 67.384 !! !! !! !! !! 112.29%
DE EX_X 1000 NAC 5 0 0 0 ERROR:#N/A ERROR:#N/A 24377.000 26960.000 !! !! !! !! !! 110.60%
UV DE EX_X 1000 m3 5 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 406.216 400.095 !! !! !! !! !! 98.49%
Q DE EX_M 1000 m3 5_C 0 0 0 ERROR:#N/A ERROR:#N/A 71.537 48.540 !! !! !! !! !! 67.85%
DE EX_M 1000 NAC 5_C 0 0 0 ERROR:#N/A ERROR:#N/A 8556.000 6592.000 !! !! !! !! !! 77.05%
UV DE EX_M 1000 m3 5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 119.602 135.806 !! !! !! !! !! 113.55%
Q DE EX_X 1000 m3 5_C 0 0 0 ERROR:#N/A ERROR:#N/A 47.298 54.605 !! !! !! !! !! 115.45%
DE EX_X 1000 NAC 5_C 0 0 0 ERROR:#N/A ERROR:#N/A 18508.000 21047.000 !! !! !! !! !! 113.72%
UV DE EX_X 1000 m3 5_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 391.306 385.441 !! !! !! !! !! 98.50%
Q DE EX_M 1000 m3 5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 116.482 141.804 !! !! !! !! !! 121.74%
DE EX_M 1000 NAC 5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 13669.000 19793.000 !! !! !! !! !! 144.80%
UV DE EX_M 1000 m3 5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 117.349 139.580 !! !! !! !! !! 118.94%
Q DE EX_X 1000 m3 5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 12.712 12.779 !! !! !! !! !! 100.53%
DE EX_X 1000 NAC 5_NC 0 0 0 ERROR:#N/A ERROR:#N/A 5869.000 5913.000 !! !! !! !! !! 100.75%
UV DE EX_X 1000 m3 5_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 461.690 462.712 !! !! !! !! !! 100.22%
Q DE EX_M 1000 m3 5_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 1748.146 1940.771 !! !! !! !! !! 111.02%
DE EX_M 1000 NAC 5_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 396786.000 445359.000 !! !! !! !! !! 112.24%
UV DE EX_M 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 226.975 229.475 !! !! !! !! !! 101.10%
Q DE EX_X 1000 m3 5_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 2976.688 3467.992 !! !! !! !! !! 116.51%
DE EX_X 1000 NAC 5_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 759572.000 890962.000 !! !! !! !! !! 117.30%
UV DE EX_X 1000 m3 5_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 255.174 256.910 !! !! !! !! !! 100.68%
Q DE EX_M 1000 m3 6 0 0 0 ERROR:#N/A ERROR:#N/A 1551.434 1760.147 !! !! !! !! !! 113.45%
DE EX_M 1000 NAC 6 0 0 0 ERROR:#N/A ERROR:#N/A 277416.000 324436.000 !! !! !! !! !! 116.95%
UV DE EX_M 1000 m3 6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 178.813 184.323 !! !! !! !! !! 103.08%
Q DE EX_X 1000 m3 6 0 0 0 ERROR:#N/A ERROR:#N/A 2483.756 2985.836 !! !! !! !! !! 120.21%
DE EX_X 1000 NAC 6 0 0 0 ERROR:#N/A ERROR:#N/A 541814.000 676065.000 !! !! !! !! !! 124.78%
UV DE EX_X 1000 m3 6 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 218.143 226.424 !! !! !! !! !! 103.80%
Q DE EX_M 1000 m3 6_1 0 0 0 ERROR:#N/A ERROR:#N/A 196.712 180.624 !! !! !! !! !! 91.82%
DE EX_M 1000 NAC 6_1 0 0 0 ERROR:#N/A ERROR:#N/A 119370.000 120923.000 !! !! !! !! !! 101.30%
UV DE EX_M 1000 m3 6_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 606.826 669.474 !! !! !! !! !! 110.32%
Q DE EX_X 1000 m3 6_1 0 0 0 ERROR:#N/A ERROR:#N/A 492.932 482.156 !! !! !! !! !! 97.81%
DE EX_X 1000 NAC 6_1 0 0 0 ERROR:#N/A ERROR:#N/A 217758.000 214897.000 !! !! !! !! !! 98.69%
UV DE EX_X 1000 m3 6_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 441.761 445.700 !! !! !! !! !! 100.89%
Q DE EX_M 1000 m3 6_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 63.047 65.468 !! !! !! !! !! 103.84%
DE EX_M 1000 NAC 6_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 53969.000 59590.000 !! !! !! !! !! 110.42%
UV DE EX_M 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 856.012 910.216 !! !! !! !! !! 106.33%
Q DE EX_X 1000 m3 6_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 11.426 10.042 !! !! !! !! !! 87.89%
DE EX_X 1000 NAC 6_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 13790.000 13113.000 !! !! !! !! !! 95.09%
UV DE EX_X 1000 m3 6_1_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1206.897 1305.816 !! !! !! !! !! 108.20%
Q DE EX_M 1000 m3 6_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 42.836 37.927 !! !! !! !! !! 88.54%
DE EX_M 1000 NAC 6_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 58553.000 50693.000 !! !! !! !! !! 86.58%
UV DE EX_M 1000 m3 6_1_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1366.911 1336.594 !! !! !! !! !! 97.78%
Q DE EX_X 1000 m3 6_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 15.514 15.876 !! !! !! !! !! 102.33%
DE EX_X 1000 NAC 6_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 50893.000 51703.000 !! !! !! !! !! 101.59%
UV DE EX_X 1000 m3 6_1_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 3280.456 3256.677 !! !! !! !! !! 99.28%
Q DE EX_M 1000 m3 6_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 5.862 4.896 !! !! !! !! !! 83.52%
DE EX_M 1000 NAC 6_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 9236.000 7520.000 !! !! !! !! !! 81.42%
UV DE EX_M 1000 m3 6_1_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1575.571 1535.948 !! !! !! !! !! 97.49%
Q DE EX_X 1000 m3 6_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 0.163 0.086 !! !! !! !! !! 52.76%
DE EX_X 1000 NAC 6_1_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 972.000 711.000 !! !! !! !! !! 73.15%
UV DE EX_X 1000 m3 6_1_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 5963.190 8267.442 !! !! !! !! !! 138.64%
Q DE EX_M 1000 m3 6_2 0 0 0 ERROR:#N/A ERROR:#N/A 36.974 33.031 !! !! !! !! !! 89.34%
DE EX_M 1000 NAC 6_2 0 0 0 ERROR:#N/A ERROR:#N/A 49317.000 43173.000 !! !! !! !! !! 87.54%
UV DE EX_M 1000 m3 6_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1333.829 1307.045 !! !! !! !! !! 97.99%
Q DE EX_X 1000 m3 6_2 0 0 0 ERROR:#N/A ERROR:#N/A 15.351 15.790 !! !! !! !! !! 102.86%
DE EX_X 1000 NAC 6_2 0 0 0 ERROR:#N/A ERROR:#N/A 49921.000 50992.000 !! !! !! !! !! 102.15%
UV DE EX_X 1000 m3 6_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 3251.971 3229.386 !! !! !! !! !! 99.31%
Q DE EX_M 1000 m3 6_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 8.102 7.907 !! !! !! !! !! 97.59%
DE EX_M 1000 NAC 6_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 5540.000 7217.000 !! !! !! !! !! 130.27%
UV DE EX_M 1000 m3 6_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 683.782 912.736 !! !! !! !! !! 133.48%
Q DE EX_X 1000 m3 6_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 1.366 1.248 !! !! !! !! !! 91.36%
DE EX_X 1000 NAC 6_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 4487.000 4086.000 !! !! !! !! !! 91.06%
UV DE EX_X 1000 m3 6_2_C ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 3284.773 3274.038 !! !! !! !! !! 99.67%
Q DE EX_M 1000 m3 6_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 1119.444 1206.217 !! !! !! !! !! 107.75%
DE EX_M 1000 NAC 6_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 414297.000 455951.000 !! !! !! !! !! 110.05%
UV DE EX_M 1000 m3 6_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 370.092 378.001 !! !! !! !! !! 102.14%
Q DE EX_X 1000 m3 6_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 1664.429 1576.770 !! !! !! !! !! 94.73%
DE EX_X 1000 NAC 6_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 809898.000 777233.000 !! !! !! !! !! 95.97%
UV DE EX_X 1000 m3 6_2_NC ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 486.592 492.927 !! !! !! !! !! 101.30%
Q DE EX_M 1000 m3 6_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 674.524 762.527 !! !! !! !! !! 113.05%
DE EX_M 1000 NAC 6_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 257368.000 302174.000 !! !! !! !! !! 117.41%
UV DE EX_M 1000 m3 6_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 381.555 396.280 !! !! !! !! !! 103.86%
Q DE EX_X 1000 m3 6_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 104.263 99.163 !! !! !! !! !! 95.11%
DE EX_X 1000 NAC 6_2_NC_T 0 0 0 ERROR:#N/A ERROR:#N/A 84494.000 78524.000 !! !! !! !! !! 92.93%
UV DE EX_X 1000 m3 6_2_NC_T ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 810.393 791.868 !! !! !! !! !! 97.71%
Q DE EX_M 1000 m3 6_3 0 0 0 ERROR:#N/A ERROR:#N/A 296.403 326.906 !! !! !! !! !! 110.29%
DE EX_M 1000 NAC 6_3 0 0 0 ERROR:#N/A ERROR:#N/A 76722.500 95444.500 !! !! !! !! !! 124.40%
UV DE EX_M 1000 m3 6_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 258.845 291.963 !! !! !! !! !! 112.79%
Q DE EX_X 1000 m3 6_3 0 0 0 ERROR:#N/A ERROR:#N/A 70.113 68.827 !! !! !! !! !! 98.17%
DE EX_X 1000 NAC 6_3 0 0 0 ERROR:#N/A ERROR:#N/A 41280.000 41386.000 !! !! !! !! !! 100.26%
UV DE EX_X 1000 m3 6_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 588.764 601.305 !! !! !! !! !! 102.13%
Q DE EX_M 1000 m3 6_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 378.121 435.621 !! !! !! !! !! 115.21%
DE EX_M 1000 NAC 6_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 180645.500 206729.500 !! !! !! !! !! 114.44%
UV DE EX_M 1000 m3 6_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 477.745 474.563 !! !! !! !! !! 99.33%
Q DE EX_X 1000 m3 6_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 34.150 30.336 !! !! !! !! !! 88.83%
DE EX_X 1000 NAC 6_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 43214.000 37138.000 !! !! !! !! !! 85.94%
UV DE EX_X 1000 m3 6_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1265.417 1224.222 !! !! !! !! !! 96.74%
Q DE EX_M 1000 m3 6_4 0 0 0 ERROR:#N/A ERROR:#N/A 44.526 45.567 !! !! !! !! !! 102.34%
DE EX_M 1000 NAC 6_4 0 0 0 ERROR:#N/A ERROR:#N/A 27823.000 29425.000 !! !! !! !! !! 105.76%
UV DE EX_M 1000 m3 6_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 624.871 645.752 !! !! !! !! !! 103.34%
Q DE EX_X 1000 m3 6_4 0 0 0 ERROR:#N/A ERROR:#N/A 4.330 2.496 !! !! !! !! !! 57.64%
DE EX_X 1000 NAC 6_4 0 0 0 ERROR:#N/A ERROR:#N/A 6690.000 5028.000 !! !! !! !! !! 75.16%
UV DE EX_X 1000 m3 6_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1545.035 2014.423 !! !! !! !! !! 130.38%
Q DE EX_M 1000 m3 6_4_1 0 0 0 ERROR:#N/A ERROR:#N/A 220.748 208.255 !! !! !! !! !! 94.34%
DE EX_M 1000 NAC 6_4_1 0 0 0 ERROR:#N/A ERROR:#N/A 59142.000 57047.000 !! !! !! !! !! 96.46%
UV DE EX_M 1000 m3 6_4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 267.916 273.929 !! !! !! !! !! 102.24%
Q DE EX_X 1000 m3 6_4_1 0 0 0 ERROR:#N/A ERROR:#N/A 448.070 433.222 !! !! !! !! !! 96.69%
DE EX_X 1000 NAC 6_4_1 0 0 0 ERROR:#N/A ERROR:#N/A 122234.000 125538.000 !! !! !! !! !! 102.70%
UV DE EX_X 1000 m3 6_4_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 272.801 289.778 !! !! !! !! !! 106.22%
Q DE EX_M 1000 m3 6_4_2 0 0 0 ERROR:#N/A ERROR:#N/A 5.456 6.821 !! !! !! !! !! 125.02%
DE EX_M 1000 NAC 6_4_2 0 0 0 ERROR:#N/A ERROR:#N/A 1027.000 1452.000 !! !! !! !! !! 141.38%
UV DE EX_M 1000 m3 6_4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 188.233 212.872 !! !! !! !! !! 113.09%
Q DE EX_X 1000 m3 6_4_2 0 0 0 ERROR:#N/A ERROR:#N/A 189.362 180.911 !! !! !! !! !! 95.54%
DE EX_X 1000 NAC 6_4_2 0 0 0 ERROR:#N/A ERROR:#N/A 46396.000 49564.000 !! !! !! !! !! 106.83%
UV DE EX_X 1000 m3 6_4_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 245.012 273.969 !! !! !! !! !! 111.82%
Q DE EX_M 1000 m3 6_4_3 0 0 0 ERROR:#N/A ERROR:#N/A 224.172 235.435 !! !! !! !! !! 105.02%
DE EX_M 1000 NAC 6_4_3 0 0 0 ERROR:#N/A ERROR:#N/A 97787.000 96730.000 !! !! !! !! !! 98.92%
UV DE EX_M 1000 m3 6_4_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 436.214 410.856 !! !! !! !! !! 94.19%
Q DE EX_X 1000 m3 6_4_3 0 0 0 ERROR:#N/A ERROR:#N/A 1112.096 1044.385 !! !! !! !! !! 93.91%
DE EX_X 1000 NAC 6_4_3 0 0 0 ERROR:#N/A ERROR:#N/A 603170.000 573171.000 !! !! !! !! !! 95.03%
UV DE EX_X 1000 m3 6_4_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 542.372 548.812 !! !! !! !! !! 101.19%
Q DE EX_M 1000 mt 7 0 0 0 ERROR:#N/A ERROR:#N/A 27.067 25.038 !! !! !! !! !! 92.50%
DE EX_M 1000 NAC 7 0 0 0 ERROR:#N/A ERROR:#N/A 19966.000 18298.000 !! !! !! !! !! 91.65%
UV DE EX_M 1000 mt 7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 737.651 730.809 !! !! !! !! !! 99.07%
Q DE EX_X 1000 mt 7 0 0 0 ERROR:#N/A ERROR:#N/A 663.998 593.864 !! !! !! !! !! 89.44%
DE EX_X 1000 NAC 7 0 0 0 ERROR:#N/A ERROR:#N/A 407999.000 370943.000 !! !! !! !! !! 90.92%
UV DE EX_X 1000 mt 7 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 614.458 624.626 !! !! !! !! !! 101.65%
Q DE EX_M 1000 mt 7_1 0 0 0 ERROR:#N/A ERROR:#N/A 123.413 132.068 !! !! !! !! !! 107.01%
DE EX_M 1000 NAC 7_1 0 0 0 ERROR:#N/A ERROR:#N/A 65852.000 68488.000 !! !! !! !! !! 104.00%
UV DE EX_M 1000 mt 7_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 533.590 518.581 !! !! !! !! !! 97.19%
Q DE EX_X 1000 mt 7_1 0 0 0 ERROR:#N/A ERROR:#N/A 299.373 332.799 !! !! !! !! !! 111.17%
DE EX_X 1000 NAC 7_1 0 0 0 ERROR:#N/A ERROR:#N/A 178585.000 188438.000 !! !! !! !! !! 105.52%
UV DE EX_X 1000 mt 7_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 596.530 566.222 !! !! !! !! !! 94.92%
Q DE EX_M 1000 mt 7_2 0 0 0 ERROR:#N/A ERROR:#N/A 73.692 78.329 !! !! !! !! !! 106.29%
DE EX_M 1000 NAC 7_2 0 0 0 ERROR:#N/A ERROR:#N/A 11969.000 9944.000 !! !! !! !! !! 83.08%
UV DE EX_M 1000 mt 7_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 162.419 126.952 !! !! !! !! !! 78.16%
Q DE EX_X 1000 mt 7_2 0 0 0 ERROR:#N/A ERROR:#N/A 148.725 117.722 !! !! !! !! !! 79.15%
DE EX_X 1000 NAC 7_2 0 0 0 ERROR:#N/A ERROR:#N/A 16586.000 13790.000 !! !! !! !! !! 83.14%
UV DE EX_X 1000 mt 7_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 111.521 117.140 !! !! !! !! !! 105.04%
Q DE EX_M 1000 mt 7_3 0 0 0 ERROR:#N/A ERROR:#N/A 2099.509 1867.154 !! !! !! !! !! 88.93%
DE EX_M 1000 NAC 7_3 0 0 0 ERROR:#N/A ERROR:#N/A 1117803.949 1214589.957 !! !! !! !! !! 108.66%
UV DE EX_M 1000 mt 7_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 532.412 650.503 !! !! !! !! !! 122.18%
Q DE EX_X 1000 mt 7_3 0 0 0 ERROR:#N/A ERROR:#N/A 495.981 426.314 !! !! !! !! !! 85.95%
DE EX_X 1000 NAC 7_3 0 0 0 ERROR:#N/A ERROR:#N/A 271615.632 284928.750 !! !! !! !! !! 104.90%
UV DE EX_X 1000 mt 7_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 547.633 668.354 !! !! !! !! !! 122.04%
Q DE EX_M 1000 mt 7_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 65.313 66.500 !! !! !! !! !! 101.82%
DE EX_M 1000 NAC 7_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 34661.290 40018.917 !! !! !! !! !! 115.46%
UV DE EX_M 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 530.697 601.786 !! !! !! !! !! 113.40%
Q DE EX_X 1000 mt 7_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 42.354 39.583 !! !! !! !! !! 93.46%
DE EX_X 1000 NAC 7_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 17115.113 18597.911 !! !! !! !! !! 108.66%
UV DE EX_X 1000 mt 7_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 404.093 469.840 !! !! !! !! !! 116.27%
Q DE EX_M 1000 mt 7_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 1858.049 1635.194 !! !! !! !! !! 88.01%
DE EX_M 1000 NAC 7_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 933581.557 1035909.650 !! !! !! !! !! 110.96%
UV DE EX_M 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 502.452 633.509 !! !! !! !! !! 126.08%
Q DE EX_X 1000 mt 7_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 446.106 381.189 !! !! !! !! !! 85.45%
DE EX_X 1000 NAC 7_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 246372.839 260139.980 !! !! !! !! !! 105.59%
UV DE EX_X 1000 mt 7_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 552.274 682.443 !! !! !! !! !! 123.57%
Q DE EX_M 1000 mt 7_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 1824.799 1604.319 !! !! !! !! !! 87.92%
DE EX_M 1000 NAC 7_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 902181.155 1004579.707 !! !! !! !! !! 111.35%
UV DE EX_M 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 494.400 626.172 !! !! !! !! !! 126.65%
Q DE EX_X 1000 mt 7_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 410.877 347.543 !! !! !! !! !! 84.59%
DE EX_X 1000 NAC 7_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 207183.988 219136.226 !! !! !! !! !! 105.77%
UV DE EX_X 1000 mt 7_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 504.249 630.530 !! !! !! !! !! 125.04%
Q DE EX_M 1000 mt 7_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 1780.466 1553.256 !! !! !! !! !! 87.24%
DE EX_M 1000 NAC 7_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 880243.189 976890.654 !! !! !! !! !! 110.98%
UV DE EX_M 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 494.389 628.931 !! !! !! !! !! 127.21%
Q DE EX_X 1000 mt 7_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 407.314 344.772 !! !! !! !! !! 84.65%
DE EX_X 1000 NAC 7_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 205154.146 217342.301 !! !! !! !! !! 105.94%
UV DE EX_X 1000 mt 7_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 503.675 630.394 !! !! !! !! !! 125.16%
Q DE EX_M 1000 mt 7_4 0 0 0 ERROR:#N/A ERROR:#N/A 33.250 30.875 !! !! !! !! !! 92.86%
DE EX_M 1000 NAC 7_4 0 0 0 ERROR:#N/A ERROR:#N/A 31400.402 31329.943 !! !! !! !! !! 99.78%
UV DE EX_M 1000 mt 7_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 944.369 1014.731 !! !! !! !! !! 107.45%
Q DE EX_X 1000 mt 7_4 0 0 0 ERROR:#N/A ERROR:#N/A 35.229 33.646 !! !! !! !! !! 95.51%
DE EX_X 1000 NAC 7_4 0 0 0 ERROR:#N/A ERROR:#N/A 39188.851 41003.754 !! !! !! !! !! 104.63%
UV DE EX_X 1000 mt 7_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1112.393 1218.682 !! !! !! !! !! 109.55%
Q DE EX_M 1000 mt 8 0 0 0 ERROR:#N/A ERROR:#N/A 176.147 165.459 !! !! !! !! !! 93.93%
DE EX_M 1000 NAC 8 0 0 0 ERROR:#N/A ERROR:#N/A 149561.102 138661.390 !! !! !! !! !! 92.71%
UV DE EX_M 1000 mt 8 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 849.072 838.041 !! !! !! !! !! 98.70%
Q DE EX_X 1000 mt 8 0 0 0 ERROR:#N/A ERROR:#N/A 7.521 5.542 !! !! !! !! !! 73.68%
DE EX_X 1000 NAC 8 0 0 0 ERROR:#N/A ERROR:#N/A 8127.680 6190.859 !! !! !! !! !! 76.17%
UV DE EX_X 1000 mt 8 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1080.684 1117.143 !! !! !! !! !! 103.37%
Q DE EX_M 1000 mt 8_1 0 0 0 ERROR:#N/A ERROR:#N/A 38.792 43.146 !! !! !! !! !! 111.22%
DE EX_M 1000 NAC 8_1 0 0 0 ERROR:#N/A ERROR:#N/A 11568.277 11495.840 !! !! !! !! !! 99.37%
UV DE EX_M 1000 mt 8_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 298.214 266.440 !! !! !! !! !! 89.35%
Q DE EX_X 1000 mt 8_1 0 0 0 ERROR:#N/A ERROR:#N/A 43.938 53.438 !! !! !! !! !! 121.62%
DE EX_X 1000 NAC 8_1 0 0 0 ERROR:#N/A ERROR:#N/A 21004.588 24806.978 !! !! !! !! !! 118.10%
UV DE EX_X 1000 mt 8_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 478.054 464.222 !! !! !! !! !! 97.11%
Q DE EX_M 1000 mt 8_2 0 0 0 ERROR:#N/A ERROR:#N/A 6.333 6.333 !! !! !! !! !! 100.00%
DE EX_M 1000 NAC 8_2 0 0 0 ERROR:#N/A ERROR:#N/A 9669.853 9108.163 !! !! !! !! !! 94.19%
UV DE EX_M 1000 mt 8_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1526.813 1438.125 !! !! !! !! !! 94.19%
Q DE EX_X 1000 mt 8_2 0 0 0 ERROR:#N/A ERROR:#N/A 0.396 0.396 !! !! !! !! !! 100.00%
DE EX_X 1000 NAC 8_2 0 0 0 ERROR:#N/A ERROR:#N/A 286.980 303.605 !! !! !! !! !! 105.79%
UV DE EX_X 1000 mt 8_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 725.000 767.000 !! !! !! !! !! 105.79%
Q DE EX_M 1000 mt 9 0 0 0 ERROR:#N/A ERROR:#N/A 32.458 36.813 !! !! !! !! !! 113.41%
DE EX_M 1000 NAC 9 0 0 0 ERROR:#N/A ERROR:#N/A 1898.425 2387.677 !! !! !! !! !! 125.77%
UV DE EX_M 1000 mt 9 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 58.488 64.860 !! !! !! !! !! 110.90%
Q DE EX_X 1000 mt 9 0 0 0 ERROR:#N/A ERROR:#N/A 43.542 53.042 !! !! !! !! !! 121.82%
DE EX_X 1000 NAC 9 0 0 0 ERROR:#N/A ERROR:#N/A 20717.607 24503.373 !! !! !! !! !! 118.27%
UV DE EX_X 1000 mt 9 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 475.809 461.963 !! !! !! !! !! 97.09%
Q DE EX_M 1000 mt 10 0 0 0 ERROR:#N/A ERROR:#N/A 1910.695 1942.758 !! !! !! !! !! 101.68%
DE EX_M 1000 NAC 10 0 0 0 ERROR:#N/A ERROR:#N/A 303786.328 291931.466 !! !! !! !! !! 96.10%
UV DE EX_M 1000 mt 10 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 158.993 150.267 !! !! !! !! !! 94.51%
Q DE EX_X 1000 mt 10 0 0 0 ERROR:#N/A ERROR:#N/A 1158.609 1099.630 !! !! !! !! !! 94.91%
DE EX_X 1000 NAC 10 0 0 0 ERROR:#N/A ERROR:#N/A 169849.624 134748.561 !! !! !! !! !! 79.33%
UV DE EX_X 1000 mt 10 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 146.598 122.540 !! !! !! !! !! 83.59%
Q DE EX_M 1000 mt 10_1 0 0 0 ERROR:#N/A ERROR:#N/A 1242.950 1282.586 !! !! !! !! !! 103.19%
DE EX_M 1000 NAC 10_1 0 0 0 ERROR:#N/A ERROR:#N/A 934788.548 1071401.899 !! !! !! !! !! 114.61%
UV DE EX_M 1000 mt 10_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 752.073 835.345 !! !! !! !! !! 111.07%
Q DE EX_X 1000 mt 10_1 0 0 0 ERROR:#N/A ERROR:#N/A 2893.897 2941.439 !! !! !! !! !! 101.64%
DE EX_X 1000 NAC 10_1 0 0 0 ERROR:#N/A ERROR:#N/A 2433895.157 2630460.125 !! !! !! !! !! 108.08%
UV DE EX_X 1000 mt 10_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 841.044 894.277 !! !! !! !! !! 106.33%
Q DE EX_M 1000 mt 10_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 583.804 575.667 !! !! !! !! !! 98.61%
DE EX_M 1000 NAC 10_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 381497.550 429639.721 !! !! !! !! !! 112.62%
UV DE EX_M 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 653.468 746.333 !! !! !! !! !! 114.21%
Q DE EX_X 1000 mt 10_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 1207.747 1160.966 !! !! !! !! !! 96.13%
DE EX_X 1000 NAC 10_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 903033.354 941405.995 !! !! !! !! !! 104.25%
UV DE EX_X 1000 mt 10_1_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 747.700 810.882 !! !! !! !! !! 108.45%
Q DE EX_M 1000 mt 10_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 93.083 85.169 !! !! !! !! !! 91.50%
DE EX_M 1000 NAC 10_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 43199.168 44191.248 !! !! !! !! !! 102.30%
UV DE EX_M 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 464.093 518.864 !! !! !! !! !! 111.80%
Q DE EX_X 1000 mt 10_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 137.079 94.467 !! !! !! !! !! 68.91%
DE EX_X 1000 NAC 10_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 63529.129 48396.548 !! !! !! !! !! 76.18%
UV DE EX_X 1000 mt 10_1_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 463.450 512.309 !! !! !! !! !! 110.54%
Q DE EX_M 1000 mt 10_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 80.588 76.362 !! !! !! !! !! 94.76%
DE EX_M 1000 NAC 10_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 50809.260 52610.518 !! !! !! !! !! 103.55%
UV DE EX_M 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 630.478 688.958 !! !! !! !! !! 109.28%
Q DE EX_X 1000 mt 10_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 197.834 213.007 !! !! !! !! !! 107.67%
DE EX_X 1000 NAC 10_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 105283.103 121503.682 !! !! !! !! !! 115.41%
UV DE EX_X 1000 mt 10_1_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 532.179 570.422 !! !! !! !! !! 107.19%
Q DE EX_M 1000 mt 10_1_4 0 0 0 ERROR:#N/A ERROR:#N/A 134.261 148.864 !! !! !! !! !! 110.88%
DE EX_M 1000 NAC 10_1_4 0 0 0 ERROR:#N/A ERROR:#N/A 112055.520 131949.089 !! !! !! !! !! 117.75%
UV DE EX_M 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 834.609 886.375 !! !! !! !! !! 106.20%
Q DE EX_X 1000 mt 10_1_4 0 0 0 ERROR:#N/A ERROR:#N/A 207.751 205.669 !! !! !! !! !! 99.00%
DE EX_X 1000 NAC 10_1_4 0 0 0 ERROR:#N/A ERROR:#N/A 226703.831 236630.793 !! !! !! !! !! 104.38%
UV DE EX_X 1000 mt 10_1_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1091.231 1150.540 !! !! !! !! !! 105.44%
Q DE EX_M 1000 mt 10_2 0 0 0 ERROR:#N/A ERROR:#N/A 275.872 265.272 !! !! !! !! !! 96.16%
DE EX_M 1000 NAC 10_2 0 0 0 ERROR:#N/A ERROR:#N/A 175433.603 200888.867 !! !! !! !! !! 114.51%
UV DE EX_M 1000 mt 10_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 635.924 757.294 !! !! !! !! !! 119.09%
Q DE EX_X 1000 mt 10_2 0 0 0 ERROR:#N/A ERROR:#N/A 665.084 647.822 !! !! !! !! !! 97.40%
DE EX_X 1000 NAC 10_2 0 0 0 ERROR:#N/A ERROR:#N/A 507517.290 534874.973 !! !! !! !! !! 105.39%
UV DE EX_X 1000 mt 10_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 763.087 825.651 !! !! !! !! !! 108.20%
Q DE EX_M 1000 mt 10_3 0 0 0 ERROR:#N/A ERROR:#N/A 71.482 71.879 !! !! !! !! !! 100.55%
DE EX_M 1000 NAC 10_3 0 0 0 ERROR:#N/A ERROR:#N/A 102367.603 109840.982 !! !! !! !! !! 107.30%
UV DE EX_M 1000 mt 10_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1432.072 1528.142 !! !! !! !! !! 106.71%
Q DE EX_X 1000 mt 10_3 0 0 0 ERROR:#N/A ERROR:#N/A 147.101 147.083 !! !! !! !! !! 99.99%
DE EX_X 1000 NAC 10_3 0 0 0 ERROR:#N/A ERROR:#N/A 271131.688 279869.516 !! !! !! !! !! 103.22%
UV DE EX_X 1000 mt 10_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1843.173 1902.804 !! !! !! !! !! 103.24%
Q DE EX_M 1000 mt 10_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 566.578 610.842 !! !! !! !! !! 107.81%
DE EX_M 1000 NAC 10_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 401840.973 477866.706 !! !! !! !! !! 118.92%
UV DE EX_M 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 709.242 782.308 !! !! !! !! !! 110.30%
Q DE EX_X 1000 mt 10_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 1469.134 1563.259 !! !! !! !! !! 106.41%
DE EX_X 1000 NAC 10_3_1 0 0 0 ERROR:#N/A ERROR:#N/A 1093288.251 1236262.078 !! !! !! !! !! 113.08%
UV DE EX_X 1000 mt 10_3_1 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 744.172 790.824 !! !! !! !! !! 106.27%
Q DE EX_M 1000 mt 10_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 286.822 302.116 !! !! !! !! !! 105.33%
DE EX_M 1000 NAC 10_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 128169.839 163139.914 !! !! !! !! !! 127.28%
UV DE EX_M 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 446.862 539.992 !! !! !! !! !! 120.84%
Q DE EX_X 1000 mt 10_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 843.089 900.405 !! !! !! !! !! 106.80%
DE EX_X 1000 NAC 10_3_2 0 0 0 ERROR:#N/A ERROR:#N/A 381623.594 466270.752 !! !! !! !! !! 122.18%
UV DE EX_X 1000 mt 10_3_2 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 452.649 517.845 !! !! !! !! !! 114.40%
Q DE EX_M 1000 mt 10_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 149.504 161.421 !! !! !! !! !! 107.97%
DE EX_M 1000 NAC 10_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 154267.751 170871.088 !! !! !! !! !! 110.76%
UV DE EX_M 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1031.865 1058.544 !! !! !! !! !! 102.59%
Q DE EX_X 1000 mt 10_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 424.163 426.515 !! !! !! !! !! 100.55%
DE EX_X 1000 NAC 10_3_3 0 0 0 ERROR:#N/A ERROR:#N/A 497603.284 511486.690 !! !! !! !! !! 102.79%
UV DE EX_X 1000 mt 10_3_3 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1173.141 1199.224 !! !! !! !! !! 102.22%
Q DE EX_M 1000 mt 10_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 102.244 115.915 !! !! !! !! !! 113.37%
DE EX_M 1000 NAC 10_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 97610.544 119503.650 !! !! !! !! !! 122.43%
UV DE EX_M 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 954.678 1030.960 !! !! !! !! !! 107.99%
Q DE EX_X 1000 mt 10_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 136.476 175.098 !! !! !! !! !! 128.30%
DE EX_X 1000 NAC 10_3_4 0 0 0 ERROR:#N/A ERROR:#N/A 167562.855 213064.039 !! !! !! !! !! 127.15%
UV DE EX_X 1000 mt 10_3_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 1227.779 1216.828 !! !! !! !! !! 99.11%
Q DE EX_M 1000 mt 10_4 0 0 0 ERROR:#N/A ERROR:#N/A 28.008 31.390 !! !! !! !! !! 112.08%
DE EX_M 1000 NAC 10_4 0 0 0 ERROR:#N/A ERROR:#N/A 21792.839 24352.055 !! !! !! !! !! 111.74%
UV DE EX_M 1000 mt 10_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 778.092 775.780 !! !! !! !! !! 99.70%
Q DE EX_X 1000 mt 10_4 0 0 0 ERROR:#N/A ERROR:#N/A 65.405 61.241 !! !! !! !! !! 93.63%
DE EX_X 1000 NAC 10_4 0 0 0 ERROR:#N/A ERROR:#N/A 46498.518 45440.597 !! !! !! !! !! 97.72%
UV DE EX_X 1000 mt 10_4 ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#DIV/0! ERROR:#N/A ERROR:#N/A 710.935 741.995 !! !! !! !! !! 104.37%

TS-EU2

% Min: 80% Max: 120% Notes
EU2 Country Flow Unit Product 2013 2014 2015 2016 2017 2017 2018 13/14 14/15 15/16 16/17 17/17 17/18 2013 2014 2015 2016
DE P 1000 m3 EU2_1 0 0 0 ERROR:#N/A ERROR:#N/A 65717.3790001642 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 45738.9661385792 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 19978.412861585 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_1 0 0 0 ERROR:#N/A ERROR:#N/A 20445.5291337174 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_1_C 0 0 0 ERROR:#N/A ERROR:#N/A 14457.8312415682 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_1_NC 0 0 0 ERROR:#N/A ERROR:#N/A 5987.6978921492 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_2 0 0 0 ERROR:#N/A ERROR:#N/A 12592.7834326122 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_2_C 0 0 0 ERROR:#N/A ERROR:#N/A 8168.5154309096 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_2_NC 0 0 0 ERROR:#N/A ERROR:#N/A 4424.2680017026 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_3 0 0 0 ERROR:#N/A ERROR:#N/A 32679.0665336704 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_3_C 0 0 0 ERROR:#N/A ERROR:#N/A 23112.6195275222 0 !! !! !! !! !! 0.00%
DE P 1000 m3 EU2_1_3_NC 0 0 0 ERROR:#N/A ERROR:#N/A 9566.4470061481 0 !! !! !! !! !! 0.00%

JQ2_EU1-Cross-Ref

FOREST SECTOR QUESTIONNAIRE JQ2 (Supp. 1)
PRIMARY PRODUCTS
Trade
CORRESPONDENCES to HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2017 HS2012 SITC Rev.4
1 ROUNDWOOD (WOOD IN THE ROUGH) 4401.11/12 44.03 4401.10 44.03 245.01 247
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 4401.11/12 4401.10 245.01
1.1.C Coniferous 4401.11 ex4401.10 ex245.01
1.1.NC Non-Coniferous 4401.12 ex4401.10 ex245.01
1.2 INDUSTRIAL ROUNDWOOD 44.03 44.03 247
1.2.C Coniferous 4403.11/21/22/23/24/25/26 ex4403.10 4403.20 ex247.3 247.4
1.2.NC Non-Coniferous 4403.12/41/49/91/93/94/95/96/97/98/99 ex4403.10 4403.41/49/91/92/99 ex247.3 247.5 247.9
1.2.NC.T of which: Tropical ex4403.12 4403.41/49 ex4403.10 4403.41/49 ex4403.99 ex247.3 247.5 ex247.9
2 WOOD CHARCOAL 4402.90 4402.90 ex245.02
3 WOOD CHIPS, PARTICLES AND RESIDUES 4401.21/22 4401.40 4401.21/22 ex4401.39 246.1 ex246.2
3.1 WOOD CHIPS AND PARTICLES 4401.21/22 4401.21/22 246.1
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) ex4401.40 ex4401.39 ex246.2
4 RECOVERED POST-CONSUMER WOOD ex4401.40 ex4401.39 ex246.2
5 WOOD PELLETS AND OTHER AGGLOMERATES 4401.31/39 4401.31 ex4401.39 ex246.2
5.1 WOOD PELLETS 4401.31 4401.31 ex246.2
5.2 OTHER AGGLOMERATES 4401.39 ex4401.39 ex246.2
6 SAWNWOOD (INCLUDING SLEEPERS) 44.06 44.07 44.06 44.07 248.1 248.2 248.4
6.C Coniferous 4406.11/91 4407.11/12/19 ex4406.10/90 4407.10 ex248.11 ex248.19 248.2
6.NC Non-Coniferous 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 ex4406.10/90 4407.21/22/25/26/27/28/29/91/92/93/94/95/99 ex248.11 ex248.19 248.4
6.NC.T of which: Tropical ex4406.12/92 4407.21/22/25/26/27/28/29 ex4406.10/90 4407.21/22/25/26/27/28/29 ex4407.99 ex248.11 ex248.19 ex248.4
7 VENEER SHEETS 44.08 44.08 634.1
7.C Coniferous 4408.10 4408.10 634.11
7.NC Non-Coniferous 4408.31/39/90 4408.31/39/90 634.12
7.NC.T of which: Tropical 4408.31/39 4408.31/39 ex4408.90 ex634.12
8 WOOD-BASED PANELS 44.10 44.11 4412.31/33/34/39/94/99 44.10 44.11 4412.31/32/39/94/99 634.22/23/31/33/39 634.5
8.1 PLYWOOD 4412.31/33/34/39/94/99 4412.31/32/39/94/99 634.31/33/39
8.1.C Coniferous 4412.39 ex4412.94 ex4412.99 4412.39 ex4412.94 ex.4412.99 ex634.31 ex634.33 ex634.39
8.1.NC Non-Coniferous 4412.31/33/34 ex4412.94 ex4412.99 4412.31/32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.1.NC.T of which: Tropical 4412.31 ex4412.94 ex4412.99 4412.31 ex4412.32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) and SIMILAR BOARD 44.10 44.10 634.22/23
8.2.1 of which: ORIENTED STRANDBOARD (OSB) 4410.12 4410.12 ex634.22
8.3 FIBREBOARD 44.11 44.11 634.5
8.3.1 HARDBOARD 4411.92 4411.92 ex634.54 ex634.55
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 4411.12/13 ex4411.14 4411.12/13 ex4411.14 ex634.54 ex634.55
8.3.3 OTHER FIBREBOARD ex4411.14 4411.93/94 ex4411.14 4411.93/94 ex634.54 ex634.55
9 WOOD PULP 47.01/02/03/04/05 47.01/02/03/04/05 251.2 251.3 251.4 251.5 251.6 251.91
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 47.01 47.05 47.01 47.05 251.2 251.91
9.2 CHEMICAL WOOD PULP 47.03 47.04 47.03 47.04 251.4 251.5 251.6
9.2.1 SULPHATE PULP 47.03 47.03 251.4 251.5
9.2.1.1 of which: BLEACHED 4703.21/29 4703.21/29 251.5
9.2.2 SULPHITE PULP 47.04 47.04 251.6
9.3 DISSOLVING GRADES 47.02 47.02 251.3
10 OTHER PULP 47.06 47.06 251.92
10.1 PULP FROM FIBRES OTHER THAN WOOD 4706.10/30/91/92/93 4706.10/30/91/92/93 ex251.92
10.2 RECOVERED FIBRE PULP 4706.20 4706.20 ex251.92
11 RECOVERED PAPER 47.07 47.07 251.1
12 PAPER AND PAPERBOARD 48.01 48.02 48.03 48.04 48.05 48.06 48.08 48.09 48.10 4811.51/59 48.12 48.13 48.01 48.02 48.03 48.04 48.05 48.06 48.08 48.09 48.10 4811.51/59 48.12 48.13 641.1 641.2 641.3 641.4 641.5 641.62/63/64/69/71/72/74/75/76/77/93 642.41
12.1 GRAPHIC PAPERS 48.01 4802.10/20/54/55/56/57/58/61/62/69 48.09 4810.13/14/19/22/29 48.01 4802.10/20/54/55/56/57/58/61/62/69 48.09 4810.13/14/19/22/29 641.1 641.21/22/26/29 641.3
12.1.1 NEWSPRINT 48.01 48.01 641.1
12.1.2 UNCOATED MECHANICAL 4802.61/62/69 4802.61/62/69 641.29
12.1.3 UNCOATED WOODFREE 4802.10/20/54/55/56/57/58 4802.10/20/54/55/56/57/58 641.21/22/26
12.1.4 COATED PAPERS 48.09 4810.13/14/19/22/29 48.09 4810.13/14/19/22/29 641.3
12.2 HOUSEHOLD AND SANITARY PAPERS 48.03 48.03 641.63
12.3 PACKAGING MATERIALS 4804.11/19/21/29/31/39/42/49/51/52/59 4805.11/12/19/24/25/30/91/92/93 4806.10/20/40 48.08 4810.31/32/39/92/99 4811.51/59 4804.11/19/21/29/31/39/42/49/51/52/59 4805.11/12/19/24/25/30/91/92/93 4806.10/20/40 48.08 4810.31/32/39/92/99 4811.51/59 641.41/42/46 ex641.47 641.48/51/52 ex641.53 641.54/59/62/64/69/71/72/74/75/76/77
12.3.1 CASE MATERIALS 4804.11/19 4805.11/12/19/24/25/91 4804.11/19 4805.11/12/19/24/25/91 641.41/51/54 ex641.59
12.3.2 CARTONBOARD 4804.42/49/51/52/59 4805.92 4810.32/39/92 4811.51/59 4804.42/49/51/52/59 4805.92 4810.32/39/92 4811.51/59 ex641.47 641.48 ex641.59 641.75/76 ex641.77 641.71/72
12.3.3 WRAPPING PAPERS 4804.21/29/31/39 4805.30 4806.10/20/40 48.08 4810.31/99 4804.21/29/31/39 4805.30 4806.10/20/40 48.08 4810.31/99 641.42/46/52 ex641.53 641.62/64/69/74 ex641.77
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 4805.93 4805.93 ex641.59
12.4 OTHER PAPER AND PAPERBOARD N.E.S. 4802.40 4804.41 4805.40/50 4806.30 48.12 48.13 4802.40 4804.41 4805.40/50 4806.30 48.12 48.13 641.24 ex641.47 641.56 ex641.53 641.55/93 642.41
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017 or SITC Rev.4 code is applicable.
For instance "ex4401.40" under product 3.2 means that only a part of HS2017 code 4401.40 refers to wood residues coming from wood processing (the other part coded under 4401.40 is recovered post-consumer wood).
In SITC Rev.4, if only 4 digits are shown, then all sub-headings at lower degrees of aggregation are included (for example, 634.1 includes 634.11 and 634.12).

JQ3-Cross-Ref

FOREST SECTOR QUESTIONNAIRE JQ3 (Supp. 1)
SECONDARY PROCESSED PRODUCTS
Trade
CORRESPONDENCES to HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2017 HS2012 SITC Rev.4
13 SECONDARY WOOD PRODUCTS
13.1 FURTHER PROCESSED SAWNWOOD 4409.10/22/29 4409.10/29 248.3 248.5
13.1.C Coniferous 4409.10 4409.10 248.3
13.1.NC Non-coniferous 4409.22/29 4409.29 248.5
13.1.NC.T of which: Tropical 4409.22 ex4409.29 ex248.5
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 44.15/16 44.15/16 635.1 635.2
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 44.14 4419.90 44.20 44.14 ex4419.00 44.20 635.41 ex635.42 635.49
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD 4418.10/20/40/50/60/74/75/79/99 4418.10/20/40/50/60 ex4418.71 ex4418.72 ex4418.79 ex4418.90 635.31/32/33 ex635.34 ex635.39
13.5 WOODEN FURNITURE 9401.61/69 ex9401.90 9403.30/40/50/60 ex9403.90 9401.61/69 ex9401.90 9403.30/40/50/60 ex9403.90 821.16 ex821.19 821.51/53/55/59 ex821.8
13.6 PREFABRICATED BUILDINGS OF WOOD 9406.10 ex94.06 ex811.0
13.7 OTHER MANUFACTURED WOOD PRODUCTS 44.04/05/13/17 4421.10/99 44.04/05/13/17 4421.10 ex4421.90 634.21/91/93 635.91 ex635.99
14 SECONDARY PAPER PRODUCTS
14.1 COMPOSITE PAPER AND PAPERBOARD 48.07 48.07 641.92
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 4811.10/41/49/60/90 4811.10/41/49/60/90 641.73/78/79
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 48.18 48.18 642.43/94
14.4 PACKAGING CARTONS, BOXES ETC. 48.19 48.19 642.1
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 48.14/16/17/20/21/22/23 48.14/16/17/20/21/22/23 641.94 642.2 642.3 642.42/45/91/93/99 892.81
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE ex4823.90 ex4823.90 ex642.99
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 4823.70 4823.70 ex642.99
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 4823.20 4823.20 642.45
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017 or SITC Rev.4 code is applicable.
For instance "ex811.00" under "Prefabricated buildings of wood" means that only a part of SITC code 811.00 refers to buildings prefabricated from wood, as that code does not distinguish between the materials buildings were prefabricated from.
In SITC Rev.4, if only 4 digits are shown, then all subheadings at lower degrees of aggregation are included (for example, 892.2 includes 892.21 and 892.29).

&F &D

SentData

Country Flow Year Unit Product Conc Data value
DE P 2017 1000 m3 1 DE_P_2017_1000 m3_1 65717.3790001642 JQ1
DE P 2017 1000 m3 1_C DE_P_2017_1000 m3_1_C 22388.9370918377
DE P 2017 1000 m3 1_NC DE_P_2017_1000 m3_1_NC 8432.7661310899
DE P 2017 1000 m3 1_1 DE_P_2017_1000 m3_1_1 13956.1709607478
DE P 2017 1000 m3 1_1_C DE_P_2017_1000 m3_1_1_C 43328.4419083265
DE P 2017 1000 m3 1_1_NC DE_P_2017_1000 m3_1_1_NC 37306.2000074893
DE P 2017 1000 m3 1_2 DE_P_2017_1000 m3_1_2 6022.2419008372
DE P 2017 1000 m3 1_2_C DE_P_2017_1000 m3_1_2_C 0
DE P 2017 1000 m3 1_2_NC DE_P_2017_1000 m3_1_2_NC 32755.8532330601
DE P 2017 1000 m3 1_2_1 DE_P_2017_1000 m3_1_2_1 29600.4654603112
DE P 2017 1000 m3 1_2_1_C DE_P_2017_1000 m3_1_2_1_C 3155.3877727488
DE P 2017 1000 m3 1_2_1_NC DE_P_2017_1000 m3_1_2_1_NC 10499.7966752664
DE P 2017 1000 m3 1_2_2 DE_P_2017_1000 m3_1_2_2 7633.3915719355
DE P 2017 1000 m3 1_2_2_C DE_P_2017_1000 m3_1_2_2_C 2866.405103331
DE P 2017 1000 m3 1_2_2_NC DE_P_2017_1000 m3_1_2_2_NC 72.792
DE P 2017 1000 m3 1_2_3 DE_P_2017_1000 m3_1_2_3 72.3429752426
DE P 2017 1000 m3 1_2_3_C DE_P_2017_1000 m3_1_2_3_C 0.4490247574
DE P 2017 1000 m3 1_2_3_NC DE_P_2017_1000 m3_1_2_3_NC 0
DE P 2017 1000 mt 2 DE_P_2017_1000 mt_2 14230.4256
DE P 2017 1000 m3 3 DE_P_2017_1000 m3_3 10345.8384
DE P 2017 1000 m3 3_1 DE_P_2017_1000 m3_3_1 3884.5872
DE P 2017 1000 m3 3_2 DE_P_2017_1000 m3_3_2 6601
DE P 2017 1000 mt 4 DE_P_2017_1000 mt_4 2427.867
DE P 2017 1000 mt 4_1 DE_P_2017_1000 mt_4_1 2250
DE P 2017 1000 mt 4_2 DE_P_2017_1000 mt_4_2 177.867
DE P 2017 1000 m3 5 DE_P_2017_1000 m3_5 23167.68
DE P 2017 1000 m3 5_C DE_P_2017_1000 m3_5_C 22050.255
DE P 2017 1000 m3 5_NC DE_P_2017_1000 m3_5_NC 1117.425
DE P 2017 1000 m3 5_NC_T DE_P_2017_1000 m3_5_NC_T 0.21
DE P 2017 1000 m3 6 DE_P_2017_1000 m3_6 88.85
DE P 2017 1000 m3 6_1 DE_P_2017_1000 m3_6_1 0.3287531995
DE P 2017 1000 m3 6_1_C DE_P_2017_1000 m3_6_1_C 88.5212468005
DE P 2017 1000 m3 6_1_NC DE_P_2017_1000 m3_6_1_NC -
DE P 2017 1000 m3 6_1_NC_T DE_P_2017_1000 m3_6_1_NC_T 13055.5426521739
DE P 2017 1000 m3 6_2 DE_P_2017_1000 m3_6_2 99.845
DE P 2017 1000 m3 6_2_C DE_P_2017_1000 m3_6_2_C 12.474
DE P 2017 1000 m3 6_2_NC DE_P_2017_1000 m3_6_2_NC 87.371
DE P 2017 1000 m3 6_2_NC_T DE_P_2017_1000 m3_6_2_NC_T 0.165
DE P 2017 1000 m3 6_3 DE_P_2017_1000 m3_6_3 7211.123
DE P 2017 1000 m3 6_3_1 DE_P_2017_1000 m3_6_3_1 1451.673
DE P 2017 1000 m3 6_4 DE_P_2017_1000 m3_6_4 5744.5746521739
DE P 2017 1000 m3 6_4_1 DE_P_2017_1000 m3_6_4_1 2452.534
DE P 2017 1000 m3 6_4_2 DE_P_2017_1000 m3_6_4_2 1509.674
DE P 2017 1000 m3 6_4_3 DE_P_2017_1000 m3_6_4_3 1782.3666521739
DE P 2017 1000 mt 7 DE_P_2017_1000 mt_7 2432
DE P 2017 1000 mt 7_1 DE_P_2017_1000 mt_7_1 795
DE P 2017 1000 mt 7_2 DE_P_2017_1000 mt_7_2 1637
DE P 2017 1000 mt 7_3 DE_P_2017_1000 mt_7_3 1018
DE P 2017 1000 mt 7_3_1 DE_P_2017_1000 mt_7_3_1 1018
DE P 2017 1000 mt 7_3_2 DE_P_2017_1000 mt_7_3_2 619
DE P 2017 1000 mt 7_3_3 DE_P_2017_1000 mt_7_3_3 0
DE P 2017 1000 mt 7_3_4 DE_P_2017_1000 mt_7_3_4 72.1
DE P 2017 1000 mt 7_4 DE_P_2017_1000 mt_7_4 0
DE P 2017 1000 mt 8 DE_P_2017_1000 mt_8 72.1
DE P 2017 1000 mt 8_1 DE_P_2017_1000 mt_8_1 15237
DE P 2017 1000 mt 8_2 DE_P_2017_1000 mt_8_2 22925
DE P 2017 1000 mt 9 DE_P_2017_1000 mt_9 8371
DE P 2017 1000 mt 10 DE_P_2017_1000 mt_10 1433
DE P 2017 1000 mt 10_1 DE_P_2017_1000 mt_10_1 1976
DE P 2017 1000 mt 10_1_1 DE_P_2017_1000 mt_10_1_1 1683
DE P 2017 1000 mt 10_1_2 DE_P_2017_1000 mt_10_1_2 3279
DE P 2017 1000 mt 10_1_3 DE_P_2017_1000 mt_10_1_3 1513
DE P 2017 1000 mt 10_1_4 DE_P_2017_1000 mt_10_1_4 11639
DE P 2017 1000 mt 10_2 DE_P_2017_1000 mt_10_2 8334
DE P 2017 1000 mt 10_3 DE_P_2017_1000 mt_10_3 1806
DE P 2017 1000 mt 10_3_1 DE_P_2017_1000 mt_10_3_1 418
DE P 2017 1000 mt 10_3_2 DE_P_2017_1000 mt_10_3_2 1081
DE P 2017 1000 mt 10_3_3 DE_P_2017_1000 mt_10_3_3 1402
DE P 2017 1000 mt 10_3_4 DE_P_2017_1000 mt_10_3_4 0
DE P 2017 1000 mt 10_4 DE_P_2017_1000 mt_10_4 0
DE P 2018 1000 m3 1 DE_P_2018_1000 m3_1 71802.0902312902
DE P 2018 1000 m3 1_C DE_P_2018_1000 m3_1_C 21874.1133793355
DE P 2018 1000 m3 1_NC DE_P_2018_1000 m3_1_NC 8134.888167769
DE P 2018 1000 m3 1_1 DE_P_2018_1000 m3_1_1 13739.2252115665
DE P 2018 1000 m3 1_1_C DE_P_2018_1000 m3_1_1_C 49927.9768519547
DE P 2018 1000 m3 1_1_NC DE_P_2018_1000 m3_1_1_NC 43182.1400868391
DE P 2018 1000 m3 1_2 DE_P_2018_1000 m3_1_2 6745.8367651156
DE P 2018 1000 m3 1_2_C DE_P_2018_1000 m3_1_2_C 0
DE P 2018 1000 m3 1_2_NC DE_P_2018_1000 m3_1_2_NC 38702.3700521323
DE P 2018 1000 m3 1_2_1 DE_P_2018_1000 m3_1_2_1 35151.570815764
DE P 2018 1000 m3 1_2_1_C DE_P_2018_1000 m3_1_2_1_C 3550.7992363683
DE P 2018 1000 m3 1_2_1_NC DE_P_2018_1000 m3_1_2_1_NC 11151.5657998224
DE P 2018 1000 m3 1_2_2 DE_P_2018_1000 m3_1_2_2 7956.9704071874
DE P 2018 1000 m3 1_2_2_C DE_P_2018_1000 m3_1_2_2_C 3194.595392635
DE P 2018 1000 m3 1_2_2_NC DE_P_2018_1000 m3_1_2_2_NC 74.041
DE P 2018 1000 m3 1_2_3 DE_P_2018_1000 m3_1_2_3 73.5988638877
DE P 2018 1000 m3 1_2_3_C DE_P_2018_1000 m3_1_2_3_C 0.4421361123
DE P 2018 1000 m3 1_2_3_NC DE_P_2018_1000 m3_1_2_3_NC 0
DE P 2018 1000 mt 2 DE_P_2018_1000 mt_2 14930.594703225
DE P 2018 1000 m3 3 DE_P_2018_1000 m3_3 10602.711503225
DE P 2018 1000 m3 3_1 DE_P_2018_1000 m3_3_1 4327.8832
DE P 2018 1000 m3 3_2 DE_P_2018_1000 m3_3_2 6601
DE P 2018 1000 mt 4 DE_P_2018_1000 mt_4 2704.927
DE P 2018 1000 mt 4_1 DE_P_2018_1000 mt_4_1 2415
DE P 2018 1000 mt 4_2 DE_P_2018_1000 mt_4_2 289.927
DE P 2018 1000 m3 5 DE_P_2018_1000 m3_5 23742.902
DE P 2018 1000 m3 5_C DE_P_2018_1000 m3_5_C 22609.724
DE P 2018 1000 m3 5_NC DE_P_2018_1000 m3_5_NC 1133.178
DE P 2018 1000 m3 5_NC_T DE_P_2018_1000 m3_5_NC_T 0.147
DE P 2018 1000 m3 6 DE_P_2018_1000 m3_6 88.247
DE P 2018 1000 m3 6_1 DE_P_2018_1000 m3_6_1 0.3265220438
DE P 2018 1000 m3 6_1_C DE_P_2018_1000 m3_6_1_C 87.9204779562
DE P 2018 1000 m3 6_1_NC DE_P_2018_1000 m3_6_1_NC -
DE P 2018 1000 m3 6_1_NC_T DE_P_2018_1000 m3_6_1_NC_T 12712.537173913
DE P 2018 1000 m3 6_2 DE_P_2018_1000 m3_6_2 117.786
DE P 2018 1000 m3 6_2_C DE_P_2018_1000 m3_6_2_C 34.713
DE P 2018 1000 m3 6_2_NC DE_P_2018_1000 m3_6_2_NC 83.073
DE P 2018 1000 m3 6_2_NC_T DE_P_2018_1000 m3_6_2_NC_T 0.165
DE P 2018 1000 m3 6_3 DE_P_2018_1000 m3_6_3 6987.62
DE P 2018 1000 m3 6_3_1 DE_P_2018_1000 m3_6_3_1 1230.209
DE P 2018 1000 m3 6_4 DE_P_2018_1000 m3_6_4 5607.131173913
DE P 2018 1000 m3 6_4_1 DE_P_2018_1000 m3_6_4_1 2349.505
DE P 2018 1000 m3 6_4_2 DE_P_2018_1000 m3_6_4_2 1453.596
DE P 2018 1000 m3 6_4_3 DE_P_2018_1000 m3_6_4_3 1804.030173913
DE P 2018 1000 mt 7 DE_P_2018_1000 mt_7 2398
DE P 2018 1000 mt 7_1 DE_P_2018_1000 mt_7_1 813
DE P 2018 1000 mt 7_2 DE_P_2018_1000 mt_7_2 1585
DE P 2018 1000 mt 7_3 DE_P_2018_1000 mt_7_3 965
DE P 2018 1000 mt 7_3_1 DE_P_2018_1000 mt_7_3_1 965
DE P 2018 1000 mt 7_3_2 DE_P_2018_1000 mt_7_3_2 620
DE P 2018 1000 mt 7_3_3 DE_P_2018_1000 mt_7_3_3 0
DE P 2018 1000 mt 7_3_4 DE_P_2018_1000 mt_7_3_4 76.7
DE P 2018 1000 mt 7_4 DE_P_2018_1000 mt_7_4 0
DE P 2018 1000 mt 8 DE_P_2018_1000 mt_8 76.7
DE P 2018 1000 mt 8_1 DE_P_2018_1000 mt_8_1 15070
DE P 2018 1000 mt 8_2 DE_P_2018_1000 mt_8_2 22666
DE P 2018 1000 mt 9 DE_P_2018_1000 mt_9 7935
DE P 2018 1000 mt 10 DE_P_2018_1000 mt_10 1210
DE P 2018 1000 mt 10_1 DE_P_2018_1000 mt_10_1 2046
DE P 2018 1000 mt 10_1_1 DE_P_2018_1000 mt_10_1_1 1636
DE P 2018 1000 mt 10_1_2 DE_P_2018_1000 mt_10_1_2 3043
DE P 2018 1000 mt 10_1_3 DE_P_2018_1000 mt_10_1_3 1508
DE P 2018 1000 mt 10_1_4 DE_P_2018_1000 mt_10_1_4 11844
DE P 2018 1000 mt 10_2 DE_P_2018_1000 mt_10_2 8576
DE P 2018 1000 mt 10_3 DE_P_2018_1000 mt_10_3 1765
DE P 2018 1000 mt 10_3_1 DE_P_2018_1000 mt_10_3_1 430
DE P 2018 1000 mt 10_3_2 DE_P_2018_1000 mt_10_3_2 1073
DE P 2018 1000 mt 10_3_3 DE_P_2018_1000 mt_10_3_3 1379
DE P 2018 1000 mt 10_3_4 DE_P_2018_1000 mt_10_3_4 0
DE P 2018 1000 mt 10_4 DE_P_2018_1000 mt_10_4 0
DE M 2017 1000 m3 1 DE_M_2017_1000 m3_1 9212.794 JQ2
DE M 2017 1000 m3 1_1 DE_M_2017_1000 m3_1_1 430.165
DE M 2017 1000 m3 1_2 DE_M_2017_1000 m3_1_2 121.756
DE M 2017 1000 m3 1_2_C DE_M_2017_1000 m3_1_2_C 308.409
DE M 2017 1000 m3 1_2_NC DE_M_2017_1000 m3_1_2_NC 8782.629
DE M 2017 1000 m3 1_2_NC_T DE_M_2017_1000 m3_1_2_NC_T 8247.709
DE M 2017 1000 mt 2 DE_M_2017_1000 mt_2 534.92
DE M 2017 1000 m3 3 DE_M_2017_1000 m3_3 11.259
DE M 2017 1000 m3 3_1 DE_M_2017_1000 m3_3_1 222.064
DE M 2017 1000 m3 3_2 DE_M_2017_1000 m3_3_2 2156.492
DE M 2017 1000 mt 4 DE_M_2017_1000 mt_4 1353.377
DE M 2017 1000 mt 4_1 DE_M_2017_1000 mt_4_1 803.115
DE M 2017 1000 mt 4_2 DE_M_2017_1000 mt_4_2 1071.07
DE M 2017 1000 m3 5 DE_M_2017_1000 m3_5 742.486
DE M 2017 1000 m3 5_C DE_M_2017_1000 m3_5_C 431.585
DE M 2017 1000 m3 5_NC DE_M_2017_1000 m3_5_NC 310.901
DE M 2017 1000 m3 5_NC_T DE_M_2017_1000 m3_5_NC_T 5235.817
DE M 2017 1000 m3 6 DE_M_2017_1000 m3_6 4819.193
DE M 2017 1000 m3 6_1 DE_M_2017_1000 m3_6_1 416.624
DE M 2017 1000 m3 6_1_C DE_M_2017_1000 m3_6_1_C 69.645
DE M 2017 1000 m3 6_1_NC DE_M_2017_1000 m3_6_1_NC 116.977
DE M 2017 1000 m3 6_1_NC_T DE_M_2017_1000 m3_6_1_NC_T 31.345
DE M 2017 1000 m3 6_2 DE_M_2017_1000 m3_6_2 85.632
DE M 2017 1000 m3 6_2_C DE_M_2017_1000 m3_6_2_C 10.234
DE M 2017 1000 m3 6_2_NC DE_M_2017_1000 m3_6_2_NC 5744.759
DE M 2017 1000 m3 6_2_NC_T DE_M_2017_1000 m3_6_2_NC_T 1527.994
DE M 2017 1000 m3 6_3 DE_M_2017_1000 m3_6_3 573.547
DE M 2017 1000 m3 6_3_1 DE_M_2017_1000 m3_6_3_1 954.447
DE M 2017 1000 m3 6_4 DE_M_2017_1000 m3_6_4 158.122
DE M 2017 1000 m3 6_4_1 DE_M_2017_1000 m3_6_4_1 2937.791
DE M 2017 1000 m3 6_4_2 DE_M_2017_1000 m3_6_4_2 762.152
DE M 2017 1000 m3 6_4_3 DE_M_2017_1000 m3_6_4_3 1278.974
DE M 2017 1000 mt 7 DE_M_2017_1000 mt_7 221.521
DE M 2017 1000 mt 7_1 DE_M_2017_1000 mt_7_1 492.002
DE M 2017 1000 mt 7_2 DE_M_2017_1000 mt_7_2 565.451
DE M 2017 1000 mt 7_3 DE_M_2017_1000 mt_7_3 5304
DE M 2017 1000 mt 7_3_1 DE_M_2017_1000 mt_7_3_1 165
DE M 2017 1000 mt 7_3_2 DE_M_2017_1000 mt_7_3_2 4694
DE M 2017 1000 mt 7_3_3 DE_M_2017_1000 mt_7_3_3 4610
DE M 2017 1000 mt 7_3_4 DE_M_2017_1000 mt_7_3_4 4498
DE M 2017 1000 mt 7_4 DE_M_2017_1000 mt_7_4 84
DE M 2017 1000 mt 8 DE_M_2017_1000 mt_8 445
DE M 2017 1000 mt 8_1 DE_M_2017_1000 mt_8_1 98
DE M 2017 1000 mt 8_2 DE_M_2017_1000 mt_8_2 16
DE M 2017 1000 mt 9 DE_M_2017_1000 mt_9 82
DE M 2017 1000 mt 10 DE_M_2017_1000 mt_10 4827
DE M 2017 1000 mt 10_1 DE_M_2017_1000 mt_10_1 11835.5927268269
DE M 2017 1000 mt 10_1_1 DE_M_2017_1000 mt_10_1_1 5559.0906977168
DE M 2017 1000 mt 10_1_2 DE_M_2017_1000 mt_10_1_2 886.352114521
DE M 2017 1000 mt 10_1_3 DE_M_2017_1000 mt_10_1_3 767.3773019374
DE M 2017 1000 mt 10_1_4 DE_M_2017_1000 mt_10_1_4 1278.4588984372
DE M 2017 1000 mt 10_2 DE_M_2017_1000 mt_10_2 2626.9023828211
DE M 2017 1000 mt 10_3 DE_M_2017_1000 mt_10_3 680.6661031737
DE M 2017 1000 mt 10_3_1 DE_M_2017_1000 mt_10_3_1 5395.0617241591
DE M 2017 1000 mt 10_3_2 DE_M_2017_1000 mt_10_3_2 2731.1718060569
DE M 2017 1000 mt 10_3_3 DE_M_2017_1000 mt_10_3_3 1423.6021121471
DE M 2017 1000 mt 10_3_4 DE_M_2017_1000 mt_10_3_4 973.5900980632
DE M 2017 1000 mt 10_4 DE_M_2017_1000 mt_10_4 266.6977078921
DE M 2017 1000 NAC 1 DE_M_2017_1000 NAC_1 605991
DE M 2017 1000 NAC 1_1 DE_M_2017_1000 NAC_1_1 39376
DE M 2017 1000 NAC 1_2 DE_M_2017_1000 NAC_1_2 11196
DE M 2017 1000 NAC 1_2_C DE_M_2017_1000 NAC_1_2_C 28180
DE M 2017 1000 NAC 1_2_NC DE_M_2017_1000 NAC_1_2_NC 566615
DE M 2017 1000 NAC 1_2_NC_T DE_M_2017_1000 NAC_1_2_NC_T 511457
DE M 2017 1000 NAC 2 DE_M_2017_1000 NAC_2 55158
DE M 2017 1000 NAC 3 DE_M_2017_1000 NAC_3 5789
DE M 2017 1000 NAC 3_1 DE_M_2017_1000 NAC_3_1 103037
DE M 2017 1000 NAC 3_2 DE_M_2017_1000 NAC_3_2 70478
DE M 2017 1000 NAC 4 DE_M_2017_1000 NAC_4 44171
DE M 2017 1000 NAC 4_1 DE_M_2017_1000 NAC_4_1 26307
DE M 2017 1000 NAC 4_2 DE_M_2017_1000 NAC_4_2 36510
DE M 2017 1000 NAC 5 DE_M_2017_1000 NAC_5 108129
DE M 2017 1000 NAC 5_C DE_M_2017_1000 NAC_5_C 69220
DE M 2017 1000 NAC 5_NC DE_M_2017_1000 NAC_5_NC 38909
DE M 2017 1000 NAC 5_NC_T DE_M_2017_1000 NAC_5_NC_T 1233225
DE M 2017 1000 NAC 6 DE_M_2017_1000 NAC_6 1002239
DE M 2017 1000 NAC 6_1 DE_M_2017_1000 NAC_6_1 230986
DE M 2017 1000 NAC 6_1_C DE_M_2017_1000 NAC_6_1_C 59895
DE M 2017 1000 NAC 6_1_NC DE_M_2017_1000 NAC_6_1_NC 156566
DE M 2017 1000 NAC 6_1_NC_T DE_M_2017_1000 NAC_6_1_NC_T 21150
DE M 2017 1000 NAC 6_2 DE_M_2017_1000 NAC_6_2 135416
DE M 2017 1000 NAC 6_2_C DE_M_2017_1000 NAC_6_2_C 10627
DE M 2017 1000 NAC 6_2_NC DE_M_2017_1000 NAC_6_2_NC 1846509
DE M 2017 1000 NAC 6_2_NC_T DE_M_2017_1000 NAC_6_2_NC_T 780412
DE M 2017 1000 NAC 6_3 DE_M_2017_1000 NAC_6_3 211942
DE M 2017 1000 NAC 6_3_1 DE_M_2017_1000 NAC_6_3_1 568470
DE M 2017 1000 NAC 6_4 DE_M_2017_1000 NAC_6_4 97645
DE M 2017 1000 NAC 6_4_1 DE_M_2017_1000 NAC_6_4_1 677719
DE M 2017 1000 NAC 6_4_2 DE_M_2017_1000 NAC_6_4_2 167619
DE M 2017 1000 NAC 6_4_3 DE_M_2017_1000 NAC_6_4_3 388378
DE M 2017 1000 NAC 7 DE_M_2017_1000 NAC_7 101779
DE M 2017 1000 NAC 7_1 DE_M_2017_1000 NAC_7_1 215986
DE M 2017 1000 NAC 7_2 DE_M_2017_1000 NAC_7_2 70613
DE M 2017 1000 NAC 7_3 DE_M_2017_1000 NAC_7_3 2823914
DE M 2017 1000 NAC 7_3_1 DE_M_2017_1000 NAC_7_3_1 87565
DE M 2017 1000 NAC 7_3_2 DE_M_2017_1000 NAC_7_3_2 2358512
DE M 2017 1000 NAC 7_3_3 DE_M_2017_1000 NAC_7_3_3 2279185
DE M 2017 1000 NAC 7_3_4 DE_M_2017_1000 NAC_7_3_4 2223763
DE M 2017 1000 NAC 7_4 DE_M_2017_1000 NAC_7_4 79327
DE M 2017 1000 NAC 8 DE_M_2017_1000 NAC_8 377837
DE M 2017 1000 NAC 8_1 DE_M_2017_1000 NAC_8_1 29225
DE M 2017 1000 NAC 8_2 DE_M_2017_1000 NAC_8_2 24429
DE M 2017 1000 NAC 9 DE_M_2017_1000 NAC_9 4796
DE M 2017 1000 NAC 10 DE_M_2017_1000 NAC_10 767457
DE M 2017 1000 NAC 10_1 DE_M_2017_1000 NAC_10_1 8551922
DE M 2017 1000 NAC 10_1_1 DE_M_2017_1000 NAC_10_1_1 3490134
DE M 2017 1000 NAC 10_1_2 DE_M_2017_1000 NAC_10_1_2 395208
DE M 2017 1000 NAC 10_1_3 DE_M_2017_1000 NAC_10_1_3 464829
DE M 2017 1000 NAC 10_1_4 DE_M_2017_1000 NAC_10_1_4 1025141
DE M 2017 1000 NAC 10_2 DE_M_2017_1000 NAC_10_2 1604956
DE M 2017 1000 NAC 10_3 DE_M_2017_1000 NAC_10_3 936511
DE M 2017 1000 NAC 10_3_1 DE_M_2017_1000 NAC_10_3_1 3676246
DE M 2017 1000 NAC 10_3_2 DE_M_2017_1000 NAC_10_3_2 1172563
DE M 2017 1000 NAC 10_3_3 DE_M_2017_1000 NAC_10_3_3 1411320
DE M 2017 1000 NAC 10_3_4 DE_M_2017_1000 NAC_10_3_4 892991
DE M 2017 1000 NAC 10_4 DE_M_2017_1000 NAC_10_4 199372
DE M 2018 1000 m3 1 DE_M_2018_1000 m3_1 9250.396
DE M 2018 1000 m3 1_1 DE_M_2018_1000 m3_1_1 425.076
DE M 2018 1000 m3 1_2 DE_M_2018_1000 m3_1_2 113.801
DE M 2018 1000 m3 1_2_C DE_M_2018_1000 m3_1_2_C 311.275
DE M 2018 1000 m3 1_2_NC DE_M_2018_1000 m3_1_2_NC 8825.32
DE M 2018 1000 m3 1_2_NC_T DE_M_2018_1000 m3_1_2_NC_T 8301.87
DE M 2018 1000 mt 2 DE_M_2018_1000 mt_2 523.45
DE M 2018 1000 m3 3 DE_M_2018_1000 m3_3 7.992
DE M 2018 1000 m3 3_1 DE_M_2018_1000 m3_3_1 233.506
DE M 2018 1000 m3 3_2 DE_M_2018_1000 m3_3_2 1997.956
DE M 2018 1000 mt 4 DE_M_2018_1000 mt_4 1244.218
DE M 2018 1000 mt 4_1 DE_M_2018_1000 mt_4_1 753.738
DE M 2018 1000 mt 4_2 DE_M_2018_1000 mt_4_2 990.091
DE M 2018 1000 m3 5 DE_M_2018_1000 m3_5 737.192
DE M 2018 1000 m3 5_C DE_M_2018_1000 m3_5_C 390.243
DE M 2018 1000 m3 5_NC DE_M_2018_1000 m3_5_NC 346.949
DE M 2018 1000 m3 5_NC_T DE_M_2018_1000 m3_5_NC_T 5493.939
DE M 2018 1000 m3 6 DE_M_2018_1000 m3_6 5106.065
DE M 2018 1000 m3 6_1 DE_M_2018_1000 m3_6_1 387.874
DE M 2018 1000 m3 6_1_C DE_M_2018_1000 m3_6_1_C 71.235
DE M 2018 1000 m3 6_1_NC DE_M_2018_1000 m3_6_1_NC 108.221
DE M 2018 1000 m3 6_1_NC_T DE_M_2018_1000 m3_6_1_NC_T 25.234
DE M 2018 1000 m3 6_2 DE_M_2018_1000 m3_6_2 82.987
DE M 2018 1000 m3 6_2_C DE_M_2018_1000 m3_6_2_C 10.057
DE M 2018 1000 m3 6_2_NC DE_M_2018_1000 m3_6_2_NC 5903.094
DE M 2018 1000 m3 6_2_NC_T DE_M_2018_1000 m3_6_2_NC_T 1581.645
DE M 2018 1000 m3 6_3 DE_M_2018_1000 m3_6_3 590.948
DE M 2018 1000 m3 6_3_1 DE_M_2018_1000 m3_6_3_1 990.697
DE M 2018 1000 m3 6_4 DE_M_2018_1000 m3_6_4 157.339
DE M 2018 1000 m3 6_4_1 DE_M_2018_1000 m3_6_4_1 2930.605
DE M 2018 1000 m3 6_4_2 DE_M_2018_1000 m3_6_4_2 840.226
DE M 2018 1000 m3 6_4_3 DE_M_2018_1000 m3_6_4_3 1390.844
DE M 2018 1000 mt 7 DE_M_2018_1000 mt_7 224.329
DE M 2018 1000 mt 7_1 DE_M_2018_1000 mt_7_1 509.327
DE M 2018 1000 mt 7_2 DE_M_2018_1000 mt_7_2 657.188
DE M 2018 1000 mt 7_3 DE_M_2018_1000 mt_7_3 4717
DE M 2018 1000 mt 7_3_1 DE_M_2018_1000 mt_7_3_1 168
DE M 2018 1000 mt 7_3_2 DE_M_2018_1000 mt_7_3_2 4131
DE M 2018 1000 mt 7_3_3 DE_M_2018_1000 mt_7_3_3 4053
DE M 2018 1000 mt 7_3_4 DE_M_2018_1000 mt_7_3_4 3924
DE M 2018 1000 mt 7_4 DE_M_2018_1000 mt_7_4 78
DE M 2018 1000 mt 8 DE_M_2018_1000 mt_8 418
DE M 2018 1000 mt 8_1 DE_M_2018_1000 mt_8_1 109
DE M 2018 1000 mt 8_2 DE_M_2018_1000 mt_8_2 16
DE M 2018 1000 mt 9 DE_M_2018_1000 mt_9 93
DE M 2018 1000 mt 10 DE_M_2018_1000 mt_10 4908
DE M 2018 1000 mt 10_1 DE_M_2018_1000 mt_10_1 11610.687
DE M 2018 1000 mt 10_1_1 DE_M_2018_1000 mt_10_1_1 5211.2638100108
DE M 2018 1000 mt 10_1_2 DE_M_2018_1000 mt_10_1_2 771
DE M 2018 1000 mt 10_1_3 DE_M_2018_1000 mt_10_1_3 691.2754891338
DE M 2018 1000 mt 10_1_4 DE_M_2018_1000 mt_10_1_4 1347.5975994792
DE M 2018 1000 mt 10_2 DE_M_2018_1000 mt_10_2 2401.3907213978
DE M 2018 1000 mt 10_3 DE_M_2018_1000 mt_10_3 650.687
DE M 2018 1000 mt 10_3_1 DE_M_2018_1000 mt_10_3_1 5529.6828586793
DE M 2018 1000 mt 10_3_2 DE_M_2018_1000 mt_10_3_2 2734.9199111457
DE M 2018 1000 mt 10_3_3 DE_M_2018_1000 mt_10_3_3 1461.2725963295
DE M 2018 1000 mt 10_3_4 DE_M_2018_1000 mt_10_3_4 1049.3267530968
DE M 2018 1000 mt 10_4 DE_M_2018_1000 mt_10_4 284.1635981072
DE M 2018 1000 NAC 1 DE_M_2018_1000 NAC_1 563778
DE M 2018 1000 NAC 1_1 DE_M_2018_1000 NAC_1_1 36804
DE M 2018 1000 NAC 1_2 DE_M_2018_1000 NAC_1_2 11263
DE M 2018 1000 NAC 1_2_C DE_M_2018_1000 NAC_1_2_C 25541
DE M 2018 1000 NAC 1_2_NC DE_M_2018_1000 NAC_1_2_NC 526974
DE M 2018 1000 NAC 1_2_NC_T DE_M_2018_1000 NAC_1_2_NC_T 472957
DE M 2018 1000 NAC 2 DE_M_2018_1000 NAC_2 54017
DE M 2018 1000 NAC 3 DE_M_2018_1000 NAC_3 4058
DE M 2018 1000 NAC 3_1 DE_M_2018_1000 NAC_3_1 108928
DE M 2018 1000 NAC 3_2 DE_M_2018_1000 NAC_3_2 68024
DE M 2018 1000 NAC 4 DE_M_2018_1000 NAC_4 39817
DE M 2018 1000 NAC 4_1 DE_M_2018_1000 NAC_4_1 28207
DE M 2018 1000 NAC 4_2 DE_M_2018_1000 NAC_4_2 35631
DE M 2018 1000 NAC 5 DE_M_2018_1000 NAC_5 119293
DE M 2018 1000 NAC 5_C DE_M_2018_1000 NAC_5_C 69065
DE M 2018 1000 NAC 5_NC DE_M_2018_1000 NAC_5_NC 50228
DE M 2018 1000 NAC 5_NC_T DE_M_2018_1000 NAC_5_NC_T 1321942
DE M 2018 1000 NAC 6 DE_M_2018_1000 NAC_6 1089823
DE M 2018 1000 NAC 6_1 DE_M_2018_1000 NAC_6_1 232119
DE M 2018 1000 NAC 6_1_C DE_M_2018_1000 NAC_6_1_C 65077
DE M 2018 1000 NAC 6_1_NC DE_M_2018_1000 NAC_6_1_NC 151243
DE M 2018 1000 NAC 6_1_NC_T DE_M_2018_1000 NAC_6_1_NC_T 17682
DE M 2018 1000 NAC 6_2 DE_M_2018_1000 NAC_6_2 133561
DE M 2018 1000 NAC 6_2_C DE_M_2018_1000 NAC_6_2_C 12837
DE M 2018 1000 NAC 6_2_NC DE_M_2018_1000 NAC_6_2_NC 1971131
DE M 2018 1000 NAC 6_2_NC_T DE_M_2018_1000 NAC_6_2_NC_T 829806
DE M 2018 1000 NAC 6_3 DE_M_2018_1000 NAC_6_3 238319
DE M 2018 1000 NAC 6_3_1 DE_M_2018_1000 NAC_6_3_1 591487
DE M 2018 1000 NAC 6_4 DE_M_2018_1000 NAC_6_4 99779
DE M 2018 1000 NAC 6_4_1 DE_M_2018_1000 NAC_6_4_1 737534
DE M 2018 1000 NAC 6_4_2 DE_M_2018_1000 NAC_6_4_2 220626
DE M 2018 1000 NAC 6_4_3 DE_M_2018_1000 NAC_6_4_3 403791
DE M 2018 1000 NAC 7 DE_M_2018_1000 NAC_7 98362
DE M 2018 1000 NAC 7_1 DE_M_2018_1000 NAC_7_1 226349
DE M 2018 1000 NAC 7_2 DE_M_2018_1000 NAC_7_2 79080
DE M 2018 1000 NAC 7_3 DE_M_2018_1000 NAC_7_3 3068425
DE M 2018 1000 NAC 7_3_1 DE_M_2018_1000 NAC_7_3_1 101100
DE M 2018 1000 NAC 7_3_2 DE_M_2018_1000 NAC_7_3_2 2617024
DE M 2018 1000 NAC 7_3_3 DE_M_2018_1000 NAC_7_3_3 2537875
DE M 2018 1000 NAC 7_3_4 DE_M_2018_1000 NAC_7_3_4 2467924
DE M 2018 1000 NAC 7_4 DE_M_2018_1000 NAC_7_4 79149
DE M 2018 1000 NAC 8 DE_M_2018_1000 NAC_8 350301
DE M 2018 1000 NAC 8_1 DE_M_2018_1000 NAC_8_1 29042
DE M 2018 1000 NAC 8_2 DE_M_2018_1000 NAC_8_2 23010
DE M 2018 1000 NAC 9 DE_M_2018_1000 NAC_9 6032
DE M 2018 1000 NAC 10 DE_M_2018_1000 NAC_10 737508
DE M 2018 1000 NAC 10_1 DE_M_2018_1000 NAC_10_1 9327463.11223542
DE M 2018 1000 NAC 10_1_1 DE_M_2018_1000 NAC_10_1_1 3740378.5237009
DE M 2018 1000 NAC 10_1_2 DE_M_2018_1000 NAC_10_1_2 384722.33006233
DE M 2018 1000 NAC 10_1_3 DE_M_2018_1000 NAC_10_1_3 458019.223155492
DE M 2018 1000 NAC 10_1_4 DE_M_2018_1000 NAC_10_1_4 1148728.83745951
DE M 2018 1000 NAC 10_2 DE_M_2018_1000 NAC_10_2 1748908.13302357
DE M 2018 1000 NAC 10_3 DE_M_2018_1000 NAC_10_3 956258.998931812
DE M 2018 1000 NAC 10_3_1 DE_M_2018_1000 NAC_10_3_1 4160235.36561744
DE M 2018 1000 NAC 10_3_2 DE_M_2018_1000 NAC_10_3_2 1420271.45149794
DE M 2018 1000 NAC 10_3_3 DE_M_2018_1000 NAC_10_3_3 1487577.88044718
DE M 2018 1000 NAC 10_3_4 DE_M_2018_1000 NAC_10_3_4 1040380.72349994
DE M 2018 1000 NAC 10_4 DE_M_2018_1000 NAC_10_4 212005.310172383
DE X 2017 1000 m3 1 DE_X_2017_1000 m3_1 4393.669
DE X 2017 1000 m3 1_1 DE_X_2017_1000 m3_1_1 134.765
DE X 2017 1000 m3 1_2 DE_X_2017_1000 m3_1_2 82.214
DE X 2017 1000 m3 1_2_C DE_X_2017_1000 m3_1_2_C 52.551
DE X 2017 1000 m3 1_2_NC DE_X_2017_1000 m3_1_2_NC 4258.904
DE X 2017 1000 m3 1_2_NC_T DE_X_2017_1000 m3_1_2_NC_T 2907.548
DE X 2017 1000 mt 2 DE_X_2017_1000 mt_2 1351.356
DE X 2017 1000 m3 3 DE_X_2017_1000 m3_3 3.035
DE X 2017 1000 m3 3_1 DE_X_2017_1000 m3_3_1 22.058
DE X 2017 1000 m3 3_2 DE_X_2017_1000 m3_3_2 2558.372
DE X 2017 1000 mt 4 DE_X_2017_1000 mt_4 1831.99
DE X 2017 1000 mt 4_1 DE_X_2017_1000 mt_4_1 726.382
DE X 2017 1000 mt 4_2 DE_X_2017_1000 mt_4_2 692.073
DE X 2017 1000 m3 5 DE_X_2017_1000 m3_5 524.723
DE X 2017 1000 m3 5_C DE_X_2017_1000 m3_5_C 489.876
DE X 2017 1000 m3 5_NC DE_X_2017_1000 m3_5_NC 34.847
DE X 2017 1000 m3 5_NC_T DE_X_2017_1000 m3_5_NC_T 8348.442
DE X 2017 1000 m3 6 DE_X_2017_1000 m3_6 7537.694
DE X 2017 1000 m3 6_1 DE_X_2017_1000 m3_6_1 810.748
DE X 2017 1000 m3 6_1_C DE_X_2017_1000 m3_6_1_C 40.262
DE X 2017 1000 m3 6_1_NC DE_X_2017_1000 m3_6_1_NC 63.497
DE X 2017 1000 m3 6_1_NC_T DE_X_2017_1000 m3_6_1_NC_T 0.511
DE X 2017 1000 m3 6_2 DE_X_2017_1000 m3_6_2 62.986
DE X 2017 1000 m3 6_2_C DE_X_2017_1000 m3_6_2_C 3.275
DE X 2017 1000 m3 6_2_NC DE_X_2017_1000 m3_6_2_NC 6360.238
DE X 2017 1000 m3 6_2_NC_T DE_X_2017_1000 m3_6_2_NC_T 381.315
DE X 2017 1000 m3 6_3 DE_X_2017_1000 m3_6_3 133.685
DE X 2017 1000 m3 6_3_1 DE_X_2017_1000 m3_6_3_1 247.63
DE X 2017 1000 m3 6_4 DE_X_2017_1000 m3_6_4 43.422
DE X 2017 1000 m3 6_4_1 DE_X_2017_1000 m3_6_4_1 2408.957
DE X 2017 1000 m3 6_4_2 DE_X_2017_1000 m3_6_4_2 519.608
DE X 2017 1000 m3 6_4_3 DE_X_2017_1000 m3_6_4_3 3569.966
DE X 2017 1000 mt 7 DE_X_2017_1000 mt_7 1633.403
DE X 2017 1000 mt 7_1 DE_X_2017_1000 mt_7_1 1544.949
DE X 2017 1000 mt 7_2 DE_X_2017_1000 mt_7_2 391.614
DE X 2017 1000 mt 7_3 DE_X_2017_1000 mt_7_3 1253
DE X 2017 1000 mt 7_3_1 DE_X_2017_1000 mt_7_3_1 107
DE X 2017 1000 mt 7_3_2 DE_X_2017_1000 mt_7_3_2 1127
DE X 2017 1000 mt 7_3_3 DE_X_2017_1000 mt_7_3_3 1038
DE X 2017 1000 mt 7_3_4 DE_X_2017_1000 mt_7_3_4 1029
DE X 2017 1000 mt 7_4 DE_X_2017_1000 mt_7_4 89
DE X 2017 1000 mt 8 DE_X_2017_1000 mt_8 19
DE X 2017 1000 mt 8_1 DE_X_2017_1000 mt_8_1 111
DE X 2017 1000 mt 8_2 DE_X_2017_1000 mt_8_2 1
DE X 2017 1000 mt 9 DE_X_2017_1000 mt_9 110
DE X 2017 1000 mt 10 DE_X_2017_1000 mt_10 2927
DE X 2017 1000 mt 10_1 DE_X_2017_1000 mt_10_1 14269.5670293018
DE X 2017 1000 mt 10_1_1 DE_X_2017_1000 mt_10_1_1 5955.3031136327
DE X 2017 1000 mt 10_1_2 DE_X_2017_1000 mt_10_1_2 675.9231058906
DE X 2017 1000 mt 10_1_3 DE_X_2017_1000 mt_10_1_3 975.5035028046
DE X 2017 1000 mt 10_1_4 DE_X_2017_1000 mt_10_1_4 1024.4010017395
DE X 2017 1000 mt 10_2 DE_X_2017_1000 mt_10_2 3279.475503198
DE X 2017 1000 mt 10_3 DE_X_2017_1000 mt_10_3 725.3404980043
DE X 2017 1000 mt 10_3_1 DE_X_2017_1000 mt_10_3_1 7244.1770163892
DE X 2017 1000 mt 10_3_2 DE_X_2017_1000 mt_10_3_2 4157.2042076067
DE X 2017 1000 mt 10_3_3 DE_X_2017_1000 mt_10_3_3 2091.5132074683
DE X 2017 1000 mt 10_3_4 DE_X_2017_1000 mt_10_3_4 672.9540986362
DE X 2017 1000 mt 10_4 DE_X_2017_1000 mt_10_4 322.505502678
DE X 2017 1000 NAC 1 DE_X_2017_1000 NAC_1 379935
DE X 2017 1000 NAC 1_1 DE_X_2017_1000 NAC_1_1 6455
DE X 2017 1000 NAC 1_2 DE_X_2017_1000 NAC_1_2 2470
DE X 2017 1000 NAC 1_2_C DE_X_2017_1000 NAC_1_2_C 3985
DE X 2017 1000 NAC 1_2_NC DE_X_2017_1000 NAC_1_2_NC 373480
DE X 2017 1000 NAC 1_2_NC_T DE_X_2017_1000 NAC_1_2_NC_T 209051
DE X 2017 1000 NAC 2 DE_X_2017_1000 NAC_2 164429
DE X 2017 1000 NAC 3 DE_X_2017_1000 NAC_3 2348
DE X 2017 1000 NAC 3_1 DE_X_2017_1000 NAC_3_1 18525
DE X 2017 1000 NAC 3_2 DE_X_2017_1000 NAC_3_2 118238
DE X 2017 1000 NAC 4 DE_X_2017_1000 NAC_4 77976
DE X 2017 1000 NAC 4_1 DE_X_2017_1000 NAC_4_1 40262
DE X 2017 1000 NAC 4_2 DE_X_2017_1000 NAC_4_2 43391
DE X 2017 1000 NAC 5 DE_X_2017_1000 NAC_5 122788
DE X 2017 1000 NAC 5_C DE_X_2017_1000 NAC_5_C 112066
DE X 2017 1000 NAC 5_NC DE_X_2017_1000 NAC_5_NC 10722
DE X 2017 1000 NAC 5_NC_T DE_X_2017_1000 NAC_5_NC_T 1915776
DE X 2017 1000 NAC 6 DE_X_2017_1000 NAC_6 1520268
DE X 2017 1000 NAC 6_1 DE_X_2017_1000 NAC_6_1 395508
DE X 2017 1000 NAC 6_1_C DE_X_2017_1000 NAC_6_1_C 43501
DE X 2017 1000 NAC 6_1_NC DE_X_2017_1000 NAC_6_1_NC 145229
DE X 2017 1000 NAC 6_1_NC_T DE_X_2017_1000 NAC_6_1_NC_T 2247
DE X 2017 1000 NAC 6_2 DE_X_2017_1000 NAC_6_2 142982
DE X 2017 1000 NAC 6_2_C DE_X_2017_1000 NAC_6_2_C 11842
DE X 2017 1000 NAC 6_2_NC DE_X_2017_1000 NAC_6_2_NC 2581493
DE X 2017 1000 NAC 6_2_NC_T DE_X_2017_1000 NAC_6_2_NC_T 274362
DE X 2017 1000 NAC 6_3 DE_X_2017_1000 NAC_6_3 71025
DE X 2017 1000 NAC 6_3_1 DE_X_2017_1000 NAC_6_3_1 203337
DE X 2017 1000 NAC 6_4 DE_X_2017_1000 NAC_6_4 55491
DE X 2017 1000 NAC 6_4_1 DE_X_2017_1000 NAC_6_4_1 601762
DE X 2017 1000 NAC 6_4_2 DE_X_2017_1000 NAC_6_4_2 118190
DE X 2017 1000 NAC 6_4_3 DE_X_2017_1000 NAC_6_4_3 1705369
DE X 2017 1000 NAC 7 DE_X_2017_1000 NAC_7 974461
DE X 2017 1000 NAC 7_1 DE_X_2017_1000 NAC_7_1 692493
DE X 2017 1000 NAC 7_2 DE_X_2017_1000 NAC_7_2 38415
DE X 2017 1000 NAC 7_3 DE_X_2017_1000 NAC_7_3 686184
DE X 2017 1000 NAC 7_3_1 DE_X_2017_1000 NAC_7_3_1 43238
DE X 2017 1000 NAC 7_3_2 DE_X_2017_1000 NAC_7_3_2 622413
DE X 2017 1000 NAC 7_3_3 DE_X_2017_1000 NAC_7_3_3 523410
DE X 2017 1000 NAC 7_3_4 DE_X_2017_1000 NAC_7_3_4 518282
DE X 2017 1000 NAC 7_4 DE_X_2017_1000 NAC_7_4 99003
DE X 2017 1000 NAC 8 DE_X_2017_1000 NAC_8 20533
DE X 2017 1000 NAC 8_1 DE_X_2017_1000 NAC_8_1 53064
DE X 2017 1000 NAC 8_2 DE_X_2017_1000 NAC_8_2 725
DE X 2017 1000 NAC 9 DE_X_2017_1000 NAC_9 52339
DE X 2017 1000 NAC 10 DE_X_2017_1000 NAC_10 429092
DE X 2017 1000 NAC 10_1 DE_X_2017_1000 NAC_10_1 11507352
DE X 2017 1000 NAC 10_1_1 DE_X_2017_1000 NAC_10_1_1 4269503
DE X 2017 1000 NAC 10_1_2 DE_X_2017_1000 NAC_10_1_2 300363
DE X 2017 1000 NAC 10_1_3 DE_X_2017_1000 NAC_10_1_3 497774
DE X 2017 1000 NAC 10_1_4 DE_X_2017_1000 NAC_10_1_4 1071846
DE X 2017 1000 NAC 10_2 DE_X_2017_1000 NAC_10_2 2399520
DE X 2017 1000 NAC 10_3 DE_X_2017_1000 NAC_10_3 1281899
DE X 2017 1000 NAC 10_3_1 DE_X_2017_1000 NAC_10_3_1 5169020
DE X 2017 1000 NAC 10_3_2 DE_X_2017_1000 NAC_10_3_2 1804300
DE X 2017 1000 NAC 10_3_3 DE_X_2017_1000 NAC_10_3_3 2352647
DE X 2017 1000 NAC 10_3_4 DE_X_2017_1000 NAC_10_3_4 792230
DE X 2017 1000 NAC 10_4 DE_X_2017_1000 NAC_10_4 219843
DE X 2018 1000 m3 1 DE_X_2018_1000 m3_1 5391.378
DE X 2018 1000 m3 1_1 DE_X_2018_1000 m3_1_1 138.742
DE X 2018 1000 m3 1_2 DE_X_2018_1000 m3_1_2 86.717
DE X 2018 1000 m3 1_2_C DE_X_2018_1000 m3_1_2_C 52.025
DE X 2018 1000 m3 1_2_NC DE_X_2018_1000 m3_1_2_NC 5252.636
DE X 2018 1000 m3 1_2_NC_T DE_X_2018_1000 m3_1_2_NC_T 3781.902
DE X 2018 1000 mt 2 DE_X_2018_1000 mt_2 1470.734
DE X 2018 1000 m3 3 DE_X_2018_1000 m3_3 4.633
DE X 2018 1000 m3 3_1 DE_X_2018_1000 m3_3_1 25.652
DE X 2018 1000 m3 3_2 DE_X_2018_1000 m3_3_2 2612.928
DE X 2018 1000 mt 4 DE_X_2018_1000 mt_4 1909.56
DE X 2018 1000 mt 4_1 DE_X_2018_1000 mt_4_1 703.368
DE X 2018 1000 mt 4_2 DE_X_2018_1000 mt_4_2 706.508
DE X 2018 1000 m3 5 DE_X_2018_1000 m3_5 664.448
DE X 2018 1000 m3 5_C DE_X_2018_1000 m3_5_C 620.155
DE X 2018 1000 m3 5_NC DE_X_2018_1000 m3_5_NC 44.293
DE X 2018 1000 m3 5_NC_T DE_X_2018_1000 m3_5_NC_T 8993.921
DE X 2018 1000 m3 6 DE_X_2018_1000 m3_6 8223.141
DE X 2018 1000 m3 6_1 DE_X_2018_1000 m3_6_1 770.78
DE X 2018 1000 m3 6_1_C DE_X_2018_1000 m3_6_1_C 34.279
DE X 2018 1000 m3 6_1_NC DE_X_2018_1000 m3_6_1_NC 60.146
DE X 2018 1000 m3 6_1_NC_T DE_X_2018_1000 m3_6_1_NC_T 0.576
DE X 2018 1000 m3 6_2 DE_X_2018_1000 m3_6_2 59.57
DE X 2018 1000 m3 6_2_C DE_X_2018_1000 m3_6_2_C 2.68
DE X 2018 1000 m3 6_2_NC DE_X_2018_1000 m3_6_2_NC 6134.26
DE X 2018 1000 m3 6_2_NC_T DE_X_2018_1000 m3_6_2_NC_T 390.452
DE X 2018 1000 m3 6_3 DE_X_2018_1000 m3_6_3 138.793
DE X 2018 1000 m3 6_3_1 DE_X_2018_1000 m3_6_3_1 251.659
DE X 2018 1000 m3 6_4 DE_X_2018_1000 m3_6_4 45.098
DE X 2018 1000 m3 6_4_1 DE_X_2018_1000 m3_6_4_1 2425.07
DE X 2018 1000 m3 6_4_2 DE_X_2018_1000 m3_6_4_2 512.221
DE X 2018 1000 m3 6_4_3 DE_X_2018_1000 m3_6_4_3 3318.738
DE X 2018 1000 mt 7 DE_X_2018_1000 mt_7 1502.257
DE X 2018 1000 mt 7_1 DE_X_2018_1000 mt_7_1 1557.621
DE X 2018 1000 mt 7_2 DE_X_2018_1000 mt_7_2 258.86
DE X 2018 1000 mt 7_3 DE_X_2018_1000 mt_7_3 1077
DE X 2018 1000 mt 7_3_1 DE_X_2018_1000 mt_7_3_1 100
DE X 2018 1000 mt 7_3_2 DE_X_2018_1000 mt_7_3_2 963
DE X 2018 1000 mt 7_3_3 DE_X_2018_1000 mt_7_3_3 878
DE X 2018 1000 mt 7_3_4 DE_X_2018_1000 mt_7_3_4 871
DE X 2018 1000 mt 7_4 DE_X_2018_1000 mt_7_4 85
DE X 2018 1000 mt 8 DE_X_2018_1000 mt_8 14
DE X 2018 1000 mt 8_1 DE_X_2018_1000 mt_8_1 135
DE X 2018 1000 mt 8_2 DE_X_2018_1000 mt_8_2 1
DE X 2018 1000 mt 9 DE_X_2018_1000 mt_9 134
DE X 2018 1000 mt 10 DE_X_2018_1000 mt_10 2778
DE X 2018 1000 mt 10_1 DE_X_2018_1000 mt_10_1 14385.3184
DE X 2018 1000 mt 10_1_1 DE_X_2018_1000 mt_10_1_1 5677.7856740906
DE X 2018 1000 mt 10_1_2 DE_X_2018_1000 mt_10_1_2 462
DE X 2018 1000 mt 10_1_3 DE_X_2018_1000 mt_10_1_3 1041.7249323617
DE X 2018 1000 mt 10_1_4 DE_X_2018_1000 mt_10_1_4 1005.8410140443
DE X 2018 1000 mt 10_2 DE_X_2018_1000 mt_10_2 3168.2197276846
DE X 2018 1000 mt 10_3 DE_X_2018_1000 mt_10_3 719.3184
DE X 2018 1000 mt 10_3_1 DE_X_2018_1000 mt_10_3_1 7645.2295097704
DE X 2018 1000 mt 10_3_2 DE_X_2018_1000 mt_10_3_2 4403.4960493908
DE X 2018 1000 mt 10_3_3 DE_X_2018_1000 mt_10_3_3 2085.9007250218
DE X 2018 1000 mt 10_3_4 DE_X_2018_1000 mt_10_3_4 856.3287303422
DE X 2018 1000 mt 10_4 DE_X_2018_1000 mt_10_4 299.5040050156
DE X 2018 1000 NAC 1 DE_X_2018_1000 NAC_1 458682
DE X 2018 1000 NAC 1_1 DE_X_2018_1000 NAC_1_1 7813
DE X 2018 1000 NAC 1_2 DE_X_2018_1000 NAC_1_2 2498
DE X 2018 1000 NAC 1_2_C DE_X_2018_1000 NAC_1_2_C 5315
DE X 2018 1000 NAC 1_2_NC DE_X_2018_1000 NAC_1_2_NC 450869
DE X 2018 1000 NAC 1_2_NC_T DE_X_2018_1000 NAC_1_2_NC_T 269390
DE X 2018 1000 NAC 2 DE_X_2018_1000 NAC_2 181479
DE X 2018 1000 NAC 3 DE_X_2018_1000 NAC_3 2402
DE X 2018 1000 NAC 3_1 DE_X_2018_1000 NAC_3_1 21308
DE X 2018 1000 NAC 3_2 DE_X_2018_1000 NAC_3_2 122749
DE X 2018 1000 NAC 4 DE_X_2018_1000 NAC_4 79699
DE X 2018 1000 NAC 4_1 DE_X_2018_1000 NAC_4_1 43050
DE X 2018 1000 NAC 4_2 DE_X_2018_1000 NAC_4_2 37096
DE X 2018 1000 NAC 5 DE_X_2018_1000 NAC_5 157674
DE X 2018 1000 NAC 5_C DE_X_2018_1000 NAC_5_C 144584
DE X 2018 1000 NAC 5_NC DE_X_2018_1000 NAC_5_NC 13090
DE X 2018 1000 NAC 5_NC_T DE_X_2018_1000 NAC_5_NC_T 2131951
DE X 2018 1000 NAC 6 DE_X_2018_1000 NAC_6 1752844
DE X 2018 1000 NAC 6_1 DE_X_2018_1000 NAC_6_1 379107
DE X 2018 1000 NAC 6_1_C DE_X_2018_1000 NAC_6_1_C 40016
DE X 2018 1000 NAC 6_1_NC DE_X_2018_1000 NAC_6_1_NC 139275
DE X 2018 1000 NAC 6_1_NC_T DE_X_2018_1000 NAC_6_1_NC_T 1972
DE X 2018 1000 NAC 6_2 DE_X_2018_1000 NAC_6_2 137303
DE X 2018 1000 NAC 6_2_C DE_X_2018_1000 NAC_6_2_C 10537
DE X 2018 1000 NAC 6_2_NC DE_X_2018_1000 NAC_6_2_NC 2600782
DE X 2018 1000 NAC 6_2_NC_T DE_X_2018_1000 NAC_6_2_NC_T 278955
DE X 2018 1000 NAC 6_3 DE_X_2018_1000 NAC_6_3 73923.5
DE X 2018 1000 NAC 6_3_1 DE_X_2018_1000 NAC_6_3_1 205031.5
DE X 2018 1000 NAC 6_4 DE_X_2018_1000 NAC_6_4 53788
DE X 2018 1000 NAC 6_4_1 DE_X_2018_1000 NAC_6_4_1 640421
DE X 2018 1000 NAC 6_4_2 DE_X_2018_1000 NAC_6_4_2 136422
DE X 2018 1000 NAC 6_4_3 DE_X_2018_1000 NAC_6_4_3 1681406
DE X 2018 1000 NAC 7 DE_X_2018_1000 NAC_7 929070
DE X 2018 1000 NAC 7_1 DE_X_2018_1000 NAC_7_1 722351
DE X 2018 1000 NAC 7_2 DE_X_2018_1000 NAC_7_2 29985
DE X 2018 1000 NAC 7_3 DE_X_2018_1000 NAC_7_3 719817
DE X 2018 1000 NAC 7_3_1 DE_X_2018_1000 NAC_7_3_1 46984
DE X 2018 1000 NAC 7_3_2 DE_X_2018_1000 NAC_7_3_2 657193
DE X 2018 1000 NAC 7_3_3 DE_X_2018_1000 NAC_7_3_3 553605
DE X 2018 1000 NAC 7_3_4 DE_X_2018_1000 NAC_7_3_4 549073
DE X 2018 1000 NAC 7_4 DE_X_2018_1000 NAC_7_4 103588
DE X 2018 1000 NAC 8 DE_X_2018_1000 NAC_8 15640
DE X 2018 1000 NAC 8_1 DE_X_2018_1000 NAC_8_1 62670
DE X 2018 1000 NAC 8_2 DE_X_2018_1000 NAC_8_2 767
DE X 2018 1000 NAC 9 DE_X_2018_1000 NAC_9 61903
DE X 2018 1000 NAC 10 DE_X_2018_1000 NAC_10 340416
DE X 2018 1000 NAC 10_1 DE_X_2018_1000 NAC_10_1 12338334.5152512
DE X 2018 1000 NAC 10_1_1 DE_X_2018_1000 NAC_10_1_1 4415722.54515056
DE X 2018 1000 NAC 10_1_2 DE_X_2018_1000 NAC_10_1_2 227006.974307351
DE X 2018 1000 NAC 10_1_3 DE_X_2018_1000 NAC_10_1_3 569920.470010749
DE X 2018 1000 NAC 10_1_4 DE_X_2018_1000 NAC_10_1_4 1109931.24278821
DE X 2018 1000 NAC 10_2 DE_X_2018_1000 NAC_10_2 2508863.85804425
DE X 2018 1000 NAC 10_3 DE_X_2018_1000 NAC_10_3 1312745.12764155
DE X 2018 1000 NAC 10_3_1 DE_X_2018_1000 NAC_10_3_1 5798763.08331768
DE X 2018 1000 NAC 10_3_2 DE_X_2018_1000 NAC_10_3_2 2187071.55432956
DE X 2018 1000 NAC 10_3_3 DE_X_2018_1000 NAC_10_3_3 2399159.68228035
DE X 2018 1000 NAC 10_3_4 DE_X_2018_1000 NAC_10_3_4 999389.938445557
DE X 2018 1000 NAC 10_4 DE_X_2018_1000 NAC_10_4 213141.90826221
DE M 7983102 1000 NAC 11_1 DE_M_7983102_1000 NAC_11_1 103011 JQ3
DE M 7983102 1000 NAC 11_1_C DE_M_7983102_1000 NAC_11_1_C 134752
DE M 7983102 1000 NAC 11_1_NC DE_M_7983102_1000 NAC_11_1_NC 60745
DE M 7983102 1000 NAC 11_1_NC_T DE_M_7983102_1000 NAC_11_1_NC_T 523714
DE M 7983102 1000 NAC 11_2 DE_M_7983102_1000 NAC_11_2 271668
DE M 7983102 1000 NAC 11_3 DE_M_7983102_1000 NAC_11_3 1052215
DE M 7983102 1000 NAC 11_4 DE_M_7983102_1000 NAC_11_4 5044787
DE M 7983102 1000 NAC 11_5 DE_M_7983102_1000 NAC_11_5 170424
DE M 7983102 1000 NAC 11_6 DE_M_7983102_1000 NAC_11_6 682531
DE M 7983102 1000 NAC 11_7 DE_M_7983102_1000 NAC_11_7 3802419
DE M 7983102 1000 NAC 11_7_1 DE_M_7983102_1000 NAC_11_7_1 49542
DE M 7983102 1000 NAC 12_1 DE_M_7983102_1000 NAC_12_1 784640
DE M 7983102 1000 NAC 12_2 DE_M_7983102_1000 NAC_12_2 1358040
DE M 7983102 1000 NAC 12_3 DE_M_7983102_1000 NAC_12_3 1062846
DE M 7983102 1000 NAC 12_4 DE_M_7983102_1000 NAC_12_4 25767
DE M 7983102 1000 NAC 12_5 DE_M_7983102_1000 NAC_12_5 75958
DE M 7983102 1000 NAC 12_6 DE_M_7983102_1000 NAC_12_6 49640
DE M 7983102 1000 NAC 12_6_1 DE_M_7983102_1000 NAC_12_6_1 0
DE M 7983102 1000 NAC 12_6_2 DE_M_7983102_1000 NAC_12_6_2 0
DE M 7983102 1000 NAC 12_6_3 DE_M_7983102_1000 NAC_12_6_3 0
DE M 8082697 1000 NAC 11_1 DE_M_8082697_1000 NAC_11_1 107843
DE M 8082697 1000 NAC 11_1_C DE_M_8082697_1000 NAC_11_1_C 126117
DE M 8082697 1000 NAC 11_1_NC DE_M_8082697_1000 NAC_11_1_NC 54559
DE M 8082697 1000 NAC 11_1_NC_T DE_M_8082697_1000 NAC_11_1_NC_T 545683
DE M 8082697 1000 NAC 11_2 DE_M_8082697_1000 NAC_11_2 287544
DE M 8082697 1000 NAC 11_3 DE_M_8082697_1000 NAC_11_3 1113288
DE M 8082697 1000 NAC 11_4 DE_M_8082697_1000 NAC_11_4 4988962
DE M 8082697 1000 NAC 11_5 DE_M_8082697_1000 NAC_11_5 193661
DE M 8082697 1000 NAC 11_6 DE_M_8082697_1000 NAC_11_6 719599
DE M 8082697 1000 NAC 11_7 DE_M_8082697_1000 NAC_11_7 3845057
DE M 8082697 1000 NAC 11_7_1 DE_M_8082697_1000 NAC_11_7_1 51413
DE M 8082697 1000 NAC 12_1 DE_M_8082697_1000 NAC_12_1 825389
DE M 8082697 1000 NAC 12_2 DE_M_8082697_1000 NAC_12_2 1347443
DE M 8082697 1000 NAC 12_3 DE_M_8082697_1000 NAC_12_3 1054860
DE M 8082697 1000 NAC 12_4 DE_M_8082697_1000 NAC_12_4 23365
DE M 8082697 1000 NAC 12_5 DE_M_8082697_1000 NAC_12_5 73894
DE M 8082697 1000 NAC 12_6 DE_M_8082697_1000 NAC_12_6 39836
DE M 8082697 1000 NAC 12_6_1 DE_M_8082697_1000 NAC_12_6_1 0
DE M 8082697 1000 NAC 12_6_2 DE_M_8082697_1000 NAC_12_6_2 0
DE M 8082697 1000 NAC 12_6_3 DE_M_8082697_1000 NAC_12_6_3 0
DE X 7983102 1000 NAC 11_1 DE_X_7983102_1000 NAC_11_1 139243
DE X 7983102 1000 NAC 11_1_C DE_X_7983102_1000 NAC_11_1_C 67559
DE X 7983102 1000 NAC 11_1_NC DE_X_7983102_1000 NAC_11_1_NC 7352
DE X 7983102 1000 NAC 11_1_NC_T DE_X_7983102_1000 NAC_11_1_NC_T 311266
DE X 7983102 1000 NAC 11_2 DE_X_7983102_1000 NAC_11_2 119509
DE X 7983102 1000 NAC 11_3 DE_X_7983102_1000 NAC_11_3 1184908
DE X 7983102 1000 NAC 11_4 DE_X_7983102_1000 NAC_11_4 4718674
DE X 7983102 1000 NAC 11_5 DE_X_7983102_1000 NAC_11_5 111496
DE X 7983102 1000 NAC 11_6 DE_X_7983102_1000 NAC_11_6 422659
DE X 7983102 1000 NAC 11_7 DE_X_7983102_1000 NAC_11_7 7270517
DE X 7983102 1000 NAC 11_7_1 DE_X_7983102_1000 NAC_11_7_1 87127
DE X 7983102 1000 NAC 12_1 DE_X_7983102_1000 NAC_12_1 1164564
DE X 7983102 1000 NAC 12_2 DE_X_7983102_1000 NAC_12_2 2829112
DE X 7983102 1000 NAC 12_3 DE_X_7983102_1000 NAC_12_3 1649186
DE X 7983102 1000 NAC 12_4 DE_X_7983102_1000 NAC_12_4 69962
DE X 7983102 1000 NAC 12_5 DE_X_7983102_1000 NAC_12_5 50607
DE X 7983102 1000 NAC 12_6 DE_X_7983102_1000 NAC_12_6 182928
DE X 7983102 1000 NAC 12_6_1 DE_X_7983102_1000 NAC_12_6_1 0
DE X 7983102 1000 NAC 12_6_2 DE_X_7983102_1000 NAC_12_6_2 0
DE X 7983102 1000 NAC 12_6_3 DE_X_7983102_1000 NAC_12_6_3 0
DE X 8082697 1000 NAC 11_1 DE_X_8082697_1000 NAC_11_1 157504
DE X 8082697 1000 NAC 11_1_C DE_X_8082697_1000 NAC_11_1_C 62207
DE X 8082697 1000 NAC 11_1_NC DE_X_8082697_1000 NAC_11_1_NC 6925
DE X 8082697 1000 NAC 11_1_NC_T DE_X_8082697_1000 NAC_11_1_NC_T 342773
DE X 8082697 1000 NAC 11_2 DE_X_8082697_1000 NAC_11_2 133832
DE X 8082697 1000 NAC 11_3 DE_X_8082697_1000 NAC_11_3 1148251
DE X 8082697 1000 NAC 11_4 DE_X_8082697_1000 NAC_11_4 4741819
DE X 8082697 1000 NAC 11_5 DE_X_8082697_1000 NAC_11_5 118801
DE X 8082697 1000 NAC 11_6 DE_X_8082697_1000 NAC_11_6 461336
DE X 8082697 1000 NAC 11_7 DE_X_8082697_1000 NAC_11_7 7591116
DE X 8082697 1000 NAC 11_7_1 DE_X_8082697_1000 NAC_11_7_1 84407
DE X 8082697 1000 NAC 12_1 DE_X_8082697_1000 NAC_12_1 1221146
DE X 8082697 1000 NAC 12_2 DE_X_8082697_1000 NAC_12_2 2902945
DE X 8082697 1000 NAC 12_3 DE_X_8082697_1000 NAC_12_3 1695512
DE X 8082697 1000 NAC 12_4 DE_X_8082697_1000 NAC_12_4 68607
DE X 8082697 1000 NAC 12_5 DE_X_8082697_1000 NAC_12_5 48106
DE X 8082697 1000 NAC 12_6 DE_X_8082697_1000 NAC_12_6 186973
DE X 8082697 1000 NAC 12_6_1 DE_X_8082697_1000 NAC_12_6_1 0
DE X 8082697 1000 NAC 12_6_2 DE_X_8082697_1000 NAC_12_6_2 0
DE X 8082697 1000 NAC 12_6_3 DE_X_8082697_1000 NAC_12_6_3 0
DE M 2017 1000 m3 ST_1_2_C DE_M_2017_1000 m3_ST_1_2_C 8247.709 ECEEU
DE M 2017 1000 m3 ST_1_2_C_1 DE_M_2017_1000 m3_ST_1_2_C_1 5145.648
DE M 2017 1000 m3 ST_1_2_C_1_1 DE_M_2017_1000 m3_ST_1_2_C_1_1 3614.713
DE M 2017 1000 m3 ST_1_2_C_2_1 DE_M_2017_1000 m3_ST_1_2_C_2_1 1530.935
DE M 2017 1000 m3 ST_1_2_C_2 DE_M_2017_1000 m3_ST_1_2_C_2 2543.136
DE M 2017 1000 m3 ST_1_2_C_1_2 DE_M_2017_1000 m3_ST_1_2_C_1_2 917.717
DE M 2017 1000 m3 ST_1_2_C_2_2 DE_M_2017_1000 m3_ST_1_2_C_2_2 1625.419
DE M 2017 1000 m3 ST_1_2_C_3 DE_M_2017_1000 m3_ST_1_2_C_3 492.895
DE M 2017 1000 m3 ST_1_2_C_1_3 DE_M_2017_1000 m3_ST_1_2_C_1_3 163.058
DE M 2017 1000 m3 ST_1_2_C_2_3 DE_M_2017_1000 m3_ST_1_2_C_2_3 329.837
DE M 2017 1000 m3 ST_1_2_NC DE_M_2017_1000 m3_ST_1_2_NC 534.92
DE M 2017 1000 m3 ST_1_2_NC_1 DE_M_2017_1000 m3_ST_1_2_NC_1 64.055
DE M 2017 1000 m3 ST_1_2_NC_1_1 DE_M_2017_1000 m3_ST_1_2_NC_1_1 93.819
DE M 2017 1000 m3 ST_1_2_NC_2_1 DE_M_2017_1000 m3_ST_1_2_NC_2_1 105.652
DE M 2017 1000 m3 ST_1_2_NC_2 DE_M_2017_1000 m3_ST_1_2_NC_2 0.077
DE M 2017 1000 m3 ST_1_2_NC_1_2 DE_M_2017_1000 m3_ST_1_2_NC_1_2 105.575
DE M 2017 1000 m3 ST_1_2_NC_2_2 DE_M_2017_1000 m3_ST_1_2_NC_2_2 77.243
DE M 2017 1000 m3 ST_1_2_NC_3 DE_M_2017_1000 m3_ST_1_2_NC_3 0.842
DE M 2017 1000 m3 ST_1_2_NC_1_3 DE_M_2017_1000 m3_ST_1_2_NC_1_3 4819.193
DE M 2017 1000 m3 ST_1_2_NC_2_3 DE_M_2017_1000 m3_ST_1_2_NC_2_3 3316.043
DE M 2017 1000 m3 ST_1_2_NC_4 DE_M_2017_1000 m3_ST_1_2_NC_4 986.512
DE M 2017 1000 m3 ST_1_2_NC_5 DE_M_2017_1000 m3_ST_1_2_NC_5 416.624
DE M 2017 1000 m3 ST_5_C DE_M_2017_1000 m3_ST_5_C 119.845
DE M 2017 1000 m3 ST_5_C_1 DE_M_2017_1000 m3_ST_5_C_1 22.758
DE M 2017 1000 m3 ST_5_C_2 DE_M_2017_1000 m3_ST_5_C_2 3.551
DE M 2017 1000 m3 ST_5_NC DE_M_2017_1000 m3_ST_5_NC 1.303
DE M 2017 1000 m3 ST_5_NC_1 DE_M_2017_1000 m3_ST_5_NC_1 11.66
DE M 2017 1000 m3 ST_5_NC_2 DE_M_2017_1000 m3_ST_5_NC_2 17.911
DE M 2017 1000 m3 ST_5_NC_3 DE_M_2017_1000 m3_ST_5_NC_3 46.467
DE M 2017 1000 m3 ST_5_NC_4 DE_M_2017_1000 m3_ST_5_NC_4 0
DE M 2017 1000 m3 ST_5_NC_5 DE_M_2017_1000 m3_ST_5_NC_5 0
DE M 2017 1000 m3 ST_5_NC_6 DE_M_2017_1000 m3_ST_5_NC_6 0
DE M 2017 1000 m3 ST_5_NC_7 DE_M_2017_1000 m3_ST_5_NC_7 0
DE M 2017 1000 NAC ST_1_2_C DE_M_2017_1000 NAC_ST_1_2_C 511457
DE M 2017 1000 NAC ST_1_2_C_1 DE_M_2017_1000 NAC_ST_1_2_C_1 355316
DE M 2017 1000 NAC ST_1_2_C_1_1 DE_M_2017_1000 NAC_ST_1_2_C_1_1 276803
DE M 2017 1000 NAC ST_1_2_C_2_1 DE_M_2017_1000 NAC_ST_1_2_C_2_1 78513
DE M 2017 1000 NAC ST_1_2_C_2 DE_M_2017_1000 NAC_ST_1_2_C_2 126065
DE M 2017 1000 NAC ST_1_2_C_1_2 DE_M_2017_1000 NAC_ST_1_2_C_1_2 63103
DE M 2017 1000 NAC ST_1_2_C_2_2 DE_M_2017_1000 NAC_ST_1_2_C_2_2 62962
DE M 2017 1000 NAC ST_1_2_C_3 DE_M_2017_1000 NAC_ST_1_2_C_3 23575
DE M 2017 1000 NAC ST_1_2_C_1_3 DE_M_2017_1000 NAC_ST_1_2_C_1_3 11031
DE M 2017 1000 NAC ST_1_2_C_2_3 DE_M_2017_1000 NAC_ST_1_2_C_2_3 12544
DE M 2017 1000 NAC ST_1_2_NC DE_M_2017_1000 NAC_ST_1_2_NC 55158
DE M 2017 1000 NAC ST_1_2_NC_1 DE_M_2017_1000 NAC_ST_1_2_NC_1 13496
DE M 2017 1000 NAC ST_1_2_NC_1_1 DE_M_2017_1000 NAC_ST_1_2_NC_1_1 4438
DE M 2017 1000 NAC ST_1_2_NC_2_1 DE_M_2017_1000 NAC_ST_1_2_NC_2_1 4200
DE M 2017 1000 NAC ST_1_2_NC_2 DE_M_2017_1000 NAC_ST_1_2_NC_2 10
DE M 2017 1000 NAC ST_1_2_NC_1_2 DE_M_2017_1000 NAC_ST_1_2_NC_1_2 4190
DE M 2017 1000 NAC ST_1_2_NC_2_2 DE_M_2017_1000 NAC_ST_1_2_NC_2_2 2580
DE M 2017 1000 NAC ST_1_2_NC_3 DE_M_2017_1000 NAC_ST_1_2_NC_3 732
DE M 2017 1000 NAC ST_1_2_NC_1_3 DE_M_2017_1000 NAC_ST_1_2_NC_1_3 1002239
DE M 2017 1000 NAC ST_1_2_NC_2_3 DE_M_2017_1000 NAC_ST_1_2_NC_2_3 690263
DE M 2017 1000 NAC ST_1_2_NC_4 DE_M_2017_1000 NAC_ST_1_2_NC_4 171093
DE M 2017 1000 NAC ST_1_2_NC_5 DE_M_2017_1000 NAC_ST_1_2_NC_5 230986
DE M 2017 1000 NAC ST_5_C DE_M_2017_1000 NAC_ST_5_C 95696
DE M 2017 1000 NAC ST_5_C_1 DE_M_2017_1000 NAC_ST_5_C_1 9667
DE M 2017 1000 NAC ST_5_C_2 DE_M_2017_1000 NAC_ST_5_C_2 2959
DE M 2017 1000 NAC ST_5_NC DE_M_2017_1000 NAC_ST_5_NC 1145
DE M 2017 1000 NAC ST_5_NC_1 DE_M_2017_1000 NAC_ST_5_NC_1 5752
DE M 2017 1000 NAC ST_5_NC_2 DE_M_2017_1000 NAC_ST_5_NC_2 2550
DE M 2017 1000 NAC ST_5_NC_3 DE_M_2017_1000 NAC_ST_5_NC_3 6401
DE M 2017 1000 NAC ST_5_NC_4 DE_M_2017_1000 NAC_ST_5_NC_4 0
DE M 2017 1000 NAC ST_5_NC_5 DE_M_2017_1000 NAC_ST_5_NC_5 0
DE M 2017 1000 NAC ST_5_NC_6 DE_M_2017_1000 NAC_ST_5_NC_6 0
DE M 2017 1000 NAC ST_5_NC_7 DE_M_2017_1000 NAC_ST_5_NC_7 0
DE M 2018 1000 m3 ST_1_2_C DE_M_2018_1000 m3_ST_1_2_C 8301.87
DE M 2018 1000 m3 ST_1_2_C_1 DE_M_2018_1000 m3_ST_1_2_C_1 4923.005
DE M 2018 1000 m3 ST_1_2_C_1_1 DE_M_2018_1000 m3_ST_1_2_C_1_1 3460.291
DE M 2018 1000 m3 ST_1_2_C_2_1 DE_M_2018_1000 m3_ST_1_2_C_2_1 1462.714
DE M 2018 1000 m3 ST_1_2_C_2 DE_M_2018_1000 m3_ST_1_2_C_2 2829.062
DE M 2018 1000 m3 ST_1_2_C_1_2 DE_M_2018_1000 m3_ST_1_2_C_1_2 896.579
DE M 2018 1000 m3 ST_1_2_C_2_2 DE_M_2018_1000 m3_ST_1_2_C_2_2 1932.483
DE M 2018 1000 m3 ST_1_2_C_3 DE_M_2018_1000 m3_ST_1_2_C_3 540.504
DE M 2018 1000 m3 ST_1_2_C_1_3 DE_M_2018_1000 m3_ST_1_2_C_1_3 120.79
DE M 2018 1000 m3 ST_1_2_C_2_3 DE_M_2018_1000 m3_ST_1_2_C_2_3 419.714
DE M 2018 1000 m3 ST_1_2_NC DE_M_2018_1000 m3_ST_1_2_NC 523.45
DE M 2018 1000 m3 ST_1_2_NC_1 DE_M_2018_1000 m3_ST_1_2_NC_1 47.674
DE M 2018 1000 m3 ST_1_2_NC_1_1 DE_M_2018_1000 m3_ST_1_2_NC_1_1 109.76
DE M 2018 1000 m3 ST_1_2_NC_2_1 DE_M_2018_1000 m3_ST_1_2_NC_2_1 64.674
DE M 2018 1000 m3 ST_1_2_NC_2 DE_M_2018_1000 m3_ST_1_2_NC_2 0.019
DE M 2018 1000 m3 ST_1_2_NC_1_2 DE_M_2018_1000 m3_ST_1_2_NC_1_2 64.655
DE M 2018 1000 m3 ST_1_2_NC_2_2 DE_M_2018_1000 m3_ST_1_2_NC_2_2 67.083
DE M 2018 1000 m3 ST_1_2_NC_3 DE_M_2018_1000 m3_ST_1_2_NC_3 0.873
DE M 2018 1000 m3 ST_1_2_NC_1_3 DE_M_2018_1000 m3_ST_1_2_NC_1_3 5106.065
DE M 2018 1000 m3 ST_1_2_NC_2_3 DE_M_2018_1000 m3_ST_1_2_NC_2_3 3506.135
DE M 2018 1000 m3 ST_1_2_NC_4 DE_M_2018_1000 m3_ST_1_2_NC_4 1035.313
DE M 2018 1000 m3 ST_1_2_NC_5 DE_M_2018_1000 m3_ST_1_2_NC_5 387.874
DE M 2018 1000 m3 ST_5_C DE_M_2018_1000 m3_ST_5_C 106.011
DE M 2018 1000 m3 ST_5_C_1 DE_M_2018_1000 m3_ST_5_C_1 23.855
DE M 2018 1000 m3 ST_5_C_2 DE_M_2018_1000 m3_ST_5_C_2 3.628
DE M 2018 1000 m3 ST_5_NC DE_M_2018_1000 m3_ST_5_NC 1.202
DE M 2018 1000 m3 ST_5_NC_1 DE_M_2018_1000 m3_ST_5_NC_1 12.333
DE M 2018 1000 m3 ST_5_NC_2 DE_M_2018_1000 m3_ST_5_NC_2 19.339
DE M 2018 1000 m3 ST_5_NC_3 DE_M_2018_1000 m3_ST_5_NC_3 15.825
DE M 2018 1000 m3 ST_5_NC_4 DE_M_2018_1000 m3_ST_5_NC_4 0
DE M 2018 1000 m3 ST_5_NC_5 DE_M_2018_1000 m3_ST_5_NC_5 0
DE M 2018 1000 m3 ST_5_NC_6 DE_M_2018_1000 m3_ST_5_NC_6 0
DE M 2018 1000 m3 ST_5_NC_7 DE_M_2018_1000 m3_ST_5_NC_7 0
DE M 2018 1000 NAC ST_1_2_C DE_M_2018_1000 NAC_ST_1_2_C 472957
DE M 2018 1000 NAC ST_1_2_C_1 DE_M_2018_1000 NAC_ST_1_2_C_1 313536
DE M 2018 1000 NAC ST_1_2_C_1_1 DE_M_2018_1000 NAC_ST_1_2_C_1_1 249171
DE M 2018 1000 NAC ST_1_2_C_2_1 DE_M_2018_1000 NAC_ST_1_2_C_2_1 64365
DE M 2018 1000 NAC ST_1_2_C_2 DE_M_2018_1000 NAC_ST_1_2_C_2 129401
DE M 2018 1000 NAC ST_1_2_C_1_2 DE_M_2018_1000 NAC_ST_1_2_C_1_2 62149
DE M 2018 1000 NAC ST_1_2_C_2_2 DE_M_2018_1000 NAC_ST_1_2_C_2_2 67252
DE M 2018 1000 NAC ST_1_2_C_3 DE_M_2018_1000 NAC_ST_1_2_C_3 26491
DE M 2018 1000 NAC ST_1_2_C_1_3 DE_M_2018_1000 NAC_ST_1_2_C_1_3 8101
DE M 2018 1000 NAC ST_1_2_C_2_3 DE_M_2018_1000 NAC_ST_1_2_C_2_3 18390
DE M 2018 1000 NAC ST_1_2_NC DE_M_2018_1000 NAC_ST_1_2_NC 54017
DE M 2018 1000 NAC ST_1_2_NC_1 DE_M_2018_1000 NAC_ST_1_2_NC_1 12600
DE M 2018 1000 NAC ST_1_2_NC_1_1 DE_M_2018_1000 NAC_ST_1_2_NC_1_1 5114
DE M 2018 1000 NAC ST_1_2_NC_2_1 DE_M_2018_1000 NAC_ST_1_2_NC_2_1 3898
DE M 2018 1000 NAC ST_1_2_NC_2 DE_M_2018_1000 NAC_ST_1_2_NC_2 98
DE M 2018 1000 NAC ST_1_2_NC_1_2 DE_M_2018_1000 NAC_ST_1_2_NC_1_2 3800
DE M 2018 1000 NAC ST_1_2_NC_2_2 DE_M_2018_1000 NAC_ST_1_2_NC_2_2 2586
DE M 2018 1000 NAC ST_1_2_NC_3 DE_M_2018_1000 NAC_ST_1_2_NC_3 885
DE M 2018 1000 NAC ST_1_2_NC_1_3 DE_M_2018_1000 NAC_ST_1_2_NC_1_3 1089823
DE M 2018 1000 NAC ST_1_2_NC_2_3 DE_M_2018_1000 NAC_ST_1_2_NC_2_3 759759
DE M 2018 1000 NAC ST_1_2_NC_4 DE_M_2018_1000 NAC_ST_1_2_NC_4 174601
DE M 2018 1000 NAC ST_1_2_NC_5 DE_M_2018_1000 NAC_ST_1_2_NC_5 232119
DE M 2018 1000 NAC ST_5_C DE_M_2018_1000 NAC_ST_5_C 89088
DE M 2018 1000 NAC ST_5_C_1 DE_M_2018_1000 NAC_ST_5_C_1 10132
DE M 2018 1000 NAC ST_5_C_2 DE_M_2018_1000 NAC_ST_5_C_2 3089
DE M 2018 1000 NAC ST_5_NC DE_M_2018_1000 NAC_ST_5_NC 1051
DE M 2018 1000 NAC ST_5_NC_1 DE_M_2018_1000 NAC_ST_5_NC_1 6230
DE M 2018 1000 NAC ST_5_NC_2 DE_M_2018_1000 NAC_ST_5_NC_2 2800
DE M 2018 1000 NAC ST_5_NC_3 DE_M_2018_1000 NAC_ST_5_NC_3 2212
DE M 2018 1000 NAC ST_5_NC_4 DE_M_2018_1000 NAC_ST_5_NC_4 0
DE M 2018 1000 NAC ST_5_NC_5 DE_M_2018_1000 NAC_ST_5_NC_5 0
DE M 2018 1000 NAC ST_5_NC_6 DE_M_2018_1000 NAC_ST_5_NC_6 0
DE M 2018 1000 NAC ST_5_NC_7 DE_M_2018_1000 NAC_ST_5_NC_7 0
DE X 2017 1000 m3 ST_1_2_C DE_X_2017_1000 m3_ST_1_2_C 2907.548
DE X 2017 1000 m3 ST_1_2_C_1 DE_X_2017_1000 m3_ST_1_2_C_1 2120.666
DE X 2017 1000 m3 ST_1_2_C_1_1 DE_X_2017_1000 m3_ST_1_2_C_1_1 1478.788
DE X 2017 1000 m3 ST_1_2_C_2_1 DE_X_2017_1000 m3_ST_1_2_C_2_1 641.878
DE X 2017 1000 m3 ST_1_2_C_2 DE_X_2017_1000 m3_ST_1_2_C_2 569.764
DE X 2017 1000 m3 ST_1_2_C_1_2 DE_X_2017_1000 m3_ST_1_2_C_1_2 379.772
DE X 2017 1000 m3 ST_1_2_C_2_2 DE_X_2017_1000 m3_ST_1_2_C_2_2 189.992
DE X 2017 1000 m3 ST_1_2_C_3 DE_X_2017_1000 m3_ST_1_2_C_3 207.783
DE X 2017 1000 m3 ST_1_2_C_1_3 DE_X_2017_1000 m3_ST_1_2_C_1_3 134.805
DE X 2017 1000 m3 ST_1_2_C_2_3 DE_X_2017_1000 m3_ST_1_2_C_2_3 72.978
DE X 2017 1000 m3 ST_1_2_NC DE_X_2017_1000 m3_ST_1_2_NC 1351.356
DE X 2017 1000 m3 ST_1_2_NC_1 DE_X_2017_1000 m3_ST_1_2_NC_1 195.857
DE X 2017 1000 m3 ST_1_2_NC_1_1 DE_X_2017_1000 m3_ST_1_2_NC_1_1 846.241
DE X 2017 1000 m3 ST_1_2_NC_2_1 DE_X_2017_1000 m3_ST_1_2_NC_2_1 10.728
DE X 2017 1000 m3 ST_1_2_NC_2 DE_X_2017_1000 m3_ST_1_2_NC_2 1.088
DE X 2017 1000 m3 ST_1_2_NC_1_2 DE_X_2017_1000 m3_ST_1_2_NC_1_2 9.64
DE X 2017 1000 m3 ST_1_2_NC_2_2 DE_X_2017_1000 m3_ST_1_2_NC_2_2 40.339
DE X 2017 1000 m3 ST_1_2_NC_3 DE_X_2017_1000 m3_ST_1_2_NC_3 0
DE X 2017 1000 m3 ST_1_2_NC_1_3 DE_X_2017_1000 m3_ST_1_2_NC_1_3 7537.694
DE X 2017 1000 m3 ST_1_2_NC_2_3 DE_X_2017_1000 m3_ST_1_2_NC_2_3 4900.54
DE X 2017 1000 m3 ST_1_2_NC_4 DE_X_2017_1000 m3_ST_1_2_NC_4 1844.988
DE X 2017 1000 m3 ST_1_2_NC_5 DE_X_2017_1000 m3_ST_1_2_NC_5 810.748
DE X 2017 1000 m3 ST_5_C DE_X_2017_1000 m3_ST_5_C 144.608
DE X 2017 1000 m3 ST_5_C_1 DE_X_2017_1000 m3_ST_5_C_1 556.577
DE X 2017 1000 m3 ST_5_C_2 DE_X_2017_1000 m3_ST_5_C_2 3.865
DE X 2017 1000 m3 ST_5_NC DE_X_2017_1000 m3_ST_5_NC 0.355
DE X 2017 1000 m3 ST_5_NC_1 DE_X_2017_1000 m3_ST_5_NC_1 24.489
DE X 2017 1000 m3 ST_5_NC_2 DE_X_2017_1000 m3_ST_5_NC_2 4.512
DE X 2017 1000 m3 ST_5_NC_3 DE_X_2017_1000 m3_ST_5_NC_3 0.923
DE X 2017 1000 m3 ST_5_NC_4 DE_X_2017_1000 m3_ST_5_NC_4 0
DE X 2017 1000 m3 ST_5_NC_5 DE_X_2017_1000 m3_ST_5_NC_5 0
DE X 2017 1000 m3 ST_5_NC_6 DE_X_2017_1000 m3_ST_5_NC_6 0
DE X 2017 1000 m3 ST_5_NC_7 DE_X_2017_1000 m3_ST_5_NC_7 0
DE X 2017 1000 NAC ST_1_2_C DE_X_2017_1000 NAC_ST_1_2_C 209051
DE X 2017 1000 NAC ST_1_2_C_1 DE_X_2017_1000 NAC_ST_1_2_C_1 151900
DE X 2017 1000 NAC ST_1_2_C_1_1 DE_X_2017_1000 NAC_ST_1_2_C_1_1 111556
DE X 2017 1000 NAC ST_1_2_C_2_1 DE_X_2017_1000 NAC_ST_1_2_C_2_1 40344
DE X 2017 1000 NAC ST_1_2_C_2 DE_X_2017_1000 NAC_ST_1_2_C_2 37344
DE X 2017 1000 NAC ST_1_2_C_1_2 DE_X_2017_1000 NAC_ST_1_2_C_1_2 27564
DE X 2017 1000 NAC ST_1_2_C_2_2 DE_X_2017_1000 NAC_ST_1_2_C_2_2 9780
DE X 2017 1000 NAC ST_1_2_C_3 DE_X_2017_1000 NAC_ST_1_2_C_3 16374
DE X 2017 1000 NAC ST_1_2_C_1_3 DE_X_2017_1000 NAC_ST_1_2_C_1_3 12353
DE X 2017 1000 NAC ST_1_2_C_2_3 DE_X_2017_1000 NAC_ST_1_2_C_2_3 4021
DE X 2017 1000 NAC ST_1_2_NC DE_X_2017_1000 NAC_ST_1_2_NC 164429
DE X 2017 1000 NAC ST_1_2_NC_1 DE_X_2017_1000 NAC_ST_1_2_NC_1 36549
DE X 2017 1000 NAC ST_1_2_NC_1_1 DE_X_2017_1000 NAC_ST_1_2_NC_1_1 89627
DE X 2017 1000 NAC ST_1_2_NC_2_1 DE_X_2017_1000 NAC_ST_1_2_NC_2_1 529
DE X 2017 1000 NAC ST_1_2_NC_2 DE_X_2017_1000 NAC_ST_1_2_NC_2 61
DE X 2017 1000 NAC ST_1_2_NC_1_2 DE_X_2017_1000 NAC_ST_1_2_NC_1_2 468
DE X 2017 1000 NAC ST_1_2_NC_2_2 DE_X_2017_1000 NAC_ST_1_2_NC_2_2 2692
DE X 2017 1000 NAC ST_1_2_NC_3 DE_X_2017_1000 NAC_ST_1_2_NC_3 1
DE X 2017 1000 NAC ST_1_2_NC_1_3 DE_X_2017_1000 NAC_ST_1_2_NC_1_3 1520268
DE X 2017 1000 NAC ST_1_2_NC_2_3 DE_X_2017_1000 NAC_ST_1_2_NC_2_3 1009349
DE X 2017 1000 NAC ST_1_2_NC_4 DE_X_2017_1000 NAC_ST_1_2_NC_4 355662
DE X 2017 1000 NAC ST_1_2_NC_5 DE_X_2017_1000 NAC_ST_1_2_NC_5 395508
DE X 2017 1000 NAC ST_5_C DE_X_2017_1000 NAC_ST_5_C 95158
DE X 2017 1000 NAC ST_5_C_1 DE_X_2017_1000 NAC_ST_5_C_1 217750
DE X 2017 1000 NAC ST_5_C_2 DE_X_2017_1000 NAC_ST_5_C_2 2691
DE X 2017 1000 NAC ST_5_NC DE_X_2017_1000 NAC_ST_5_NC 346
DE X 2017 1000 NAC ST_5_NC_1 DE_X_2017_1000 NAC_ST_5_NC_1 9731
DE X 2017 1000 NAC ST_5_NC_2 DE_X_2017_1000 NAC_ST_5_NC_2 875
DE X 2017 1000 NAC ST_5_NC_3 DE_X_2017_1000 NAC_ST_5_NC_3 362
DE X 2017 1000 NAC ST_5_NC_4 DE_X_2017_1000 NAC_ST_5_NC_4 0
DE X 2017 1000 NAC ST_5_NC_5 DE_X_2017_1000 NAC_ST_5_NC_5 0
DE X 2017 1000 NAC ST_5_NC_6 DE_X_2017_1000 NAC_ST_5_NC_6 0
DE X 2017 1000 NAC ST_5_NC_7 DE_X_2017_1000 NAC_ST_5_NC_7 0
DE X 2018 1000 m3 ST_1_2_C DE_X_2018_1000 m3_ST_1_2_C 3781.902
DE X 2018 1000 m3 ST_1_2_C_1 DE_X_2018_1000 m3_ST_1_2_C_1 2926.613
DE X 2018 1000 m3 ST_1_2_C_1_1 DE_X_2018_1000 m3_ST_1_2_C_1_1 2175.895
DE X 2018 1000 m3 ST_1_2_C_2_1 DE_X_2018_1000 m3_ST_1_2_C_2_1 750.718
DE X 2018 1000 m3 ST_1_2_C_2 DE_X_2018_1000 m3_ST_1_2_C_2 549.616
DE X 2018 1000 m3 ST_1_2_C_1_2 DE_X_2018_1000 m3_ST_1_2_C_1_2 340.516
DE X 2018 1000 m3 ST_1_2_C_2_2 DE_X_2018_1000 m3_ST_1_2_C_2_2 209.1
DE X 2018 1000 m3 ST_1_2_C_3 DE_X_2018_1000 m3_ST_1_2_C_3 299.325
DE X 2018 1000 m3 ST_1_2_C_1_3 DE_X_2018_1000 m3_ST_1_2_C_1_3 196.999
DE X 2018 1000 m3 ST_1_2_C_2_3 DE_X_2018_1000 m3_ST_1_2_C_2_3 102.326
DE X 2018 1000 m3 ST_1_2_NC DE_X_2018_1000 m3_ST_1_2_NC 1470.734
DE X 2018 1000 m3 ST_1_2_NC_1 DE_X_2018_1000 m3_ST_1_2_NC_1 248.365
DE X 2018 1000 m3 ST_1_2_NC_1_1 DE_X_2018_1000 m3_ST_1_2_NC_1_1 849.978
DE X 2018 1000 m3 ST_1_2_NC_2_1 DE_X_2018_1000 m3_ST_1_2_NC_2_1 59.717
DE X 2018 1000 m3 ST_1_2_NC_2 DE_X_2018_1000 m3_ST_1_2_NC_2 0.094
DE X 2018 1000 m3 ST_1_2_NC_1_2 DE_X_2018_1000 m3_ST_1_2_NC_1_2 59.623
DE X 2018 1000 m3 ST_1_2_NC_2_2 DE_X_2018_1000 m3_ST_1_2_NC_2_2 23.769
DE X 2018 1000 m3 ST_1_2_NC_3 DE_X_2018_1000 m3_ST_1_2_NC_3 0
DE X 2018 1000 m3 ST_1_2_NC_1_3 DE_X_2018_1000 m3_ST_1_2_NC_1_3 8223.141
DE X 2018 1000 m3 ST_1_2_NC_2_3 DE_X_2018_1000 m3_ST_1_2_NC_2_3 5512.555
DE X 2018 1000 m3 ST_1_2_NC_4 DE_X_2018_1000 m3_ST_1_2_NC_4 1917.092
DE X 2018 1000 m3 ST_1_2_NC_5 DE_X_2018_1000 m3_ST_1_2_NC_5 770.78
DE X 2018 1000 m3 ST_5_C DE_X_2018_1000 m3_ST_5_C 129.14
DE X 2018 1000 m3 ST_5_C_1 DE_X_2018_1000 m3_ST_5_C_1 532.003
DE X 2018 1000 m3 ST_5_C_2 DE_X_2018_1000 m3_ST_5_C_2 2.626
DE X 2018 1000 m3 ST_5_NC DE_X_2018_1000 m3_ST_5_NC 0.491
DE X 2018 1000 m3 ST_5_NC_1 DE_X_2018_1000 m3_ST_5_NC_1 32.873
DE X 2018 1000 m3 ST_5_NC_2 DE_X_2018_1000 m3_ST_5_NC_2 3.495
DE X 2018 1000 m3 ST_5_NC_3 DE_X_2018_1000 m3_ST_5_NC_3 1.316
DE X 2018 1000 m3 ST_5_NC_4 DE_X_2018_1000 m3_ST_5_NC_4 0
DE X 2018 1000 m3 ST_5_NC_5 DE_X_2018_1000 m3_ST_5_NC_5 0
DE X 2018 1000 m3 ST_5_NC_6 DE_X_2018_1000 m3_ST_5_NC_6 0
DE X 2018 1000 m3 ST_5_NC_7 DE_X_2018_1000 m3_ST_5_NC_7 0
DE X 2018 1000 NAC ST_1_2_C DE_X_2018_1000 NAC_ST_1_2_C 269390
DE X 2018 1000 NAC ST_1_2_C_1 DE_X_2018_1000 NAC_ST_1_2_C_1 211739
DE X 2018 1000 NAC ST_1_2_C_1_1 DE_X_2018_1000 NAC_ST_1_2_C_1_1 164977
DE X 2018 1000 NAC ST_1_2_C_2_1 DE_X_2018_1000 NAC_ST_1_2_C_2_1 46762
DE X 2018 1000 NAC ST_1_2_C_2 DE_X_2018_1000 NAC_ST_1_2_C_2 34615
DE X 2018 1000 NAC ST_1_2_C_1_2 DE_X_2018_1000 NAC_ST_1_2_C_1_2 24075
DE X 2018 1000 NAC ST_1_2_C_2_2 DE_X_2018_1000 NAC_ST_1_2_C_2_2 10540
DE X 2018 1000 NAC ST_1_2_C_3 DE_X_2018_1000 NAC_ST_1_2_C_3 20744
DE X 2018 1000 NAC ST_1_2_C_1_3 DE_X_2018_1000 NAC_ST_1_2_C_1_3 14513
DE X 2018 1000 NAC ST_1_2_C_2_3 DE_X_2018_1000 NAC_ST_1_2_C_2_3 6231
DE X 2018 1000 NAC ST_1_2_NC DE_X_2018_1000 NAC_ST_1_2_NC 181479
DE X 2018 1000 NAC ST_1_2_NC_1 DE_X_2018_1000 NAC_ST_1_2_NC_1 44986
DE X 2018 1000 NAC ST_1_2_NC_1_1 DE_X_2018_1000 NAC_ST_1_2_NC_1_1 94865
DE X 2018 1000 NAC ST_1_2_NC_2_1 DE_X_2018_1000 NAC_ST_1_2_NC_2_1 3680
DE X 2018 1000 NAC ST_1_2_NC_2 DE_X_2018_1000 NAC_ST_1_2_NC_2 30
DE X 2018 1000 NAC ST_1_2_NC_1_2 DE_X_2018_1000 NAC_ST_1_2_NC_1_2 3650
DE X 2018 1000 NAC ST_1_2_NC_2_2 DE_X_2018_1000 NAC_ST_1_2_NC_2_2 1516
DE X 2018 1000 NAC ST_1_2_NC_3 DE_X_2018_1000 NAC_ST_1_2_NC_3 1
DE X 2018 1000 NAC ST_1_2_NC_1_3 DE_X_2018_1000 NAC_ST_1_2_NC_1_3 1752844
DE X 2018 1000 NAC ST_1_2_NC_2_3 DE_X_2018_1000 NAC_ST_1_2_NC_2_3 1186597
DE X 2018 1000 NAC ST_1_2_NC_4 DE_X_2018_1000 NAC_ST_1_2_NC_4 394756
DE X 2018 1000 NAC ST_1_2_NC_5 DE_X_2018_1000 NAC_ST_1_2_NC_5 379107
DE X 2018 1000 NAC ST_5_C DE_X_2018_1000 NAC_ST_5_C 88929
DE X 2018 1000 NAC ST_5_C_1 DE_X_2018_1000 NAC_ST_5_C_1 209011
DE X 2018 1000 NAC ST_5_C_2 DE_X_2018_1000 NAC_ST_5_C_2 2177
DE X 2018 1000 NAC ST_5_NC DE_X_2018_1000 NAC_ST_5_NC 443
DE X 2018 1000 NAC ST_5_NC_1 DE_X_2018_1000 NAC_ST_5_NC_1 12521
DE X 2018 1000 NAC ST_5_NC_2 DE_X_2018_1000 NAC_ST_5_NC_2 732
DE X 2018 1000 NAC ST_5_NC_3 DE_X_2018_1000 NAC_ST_5_NC_3 283
DE X 2018 1000 NAC ST_5_NC_4 DE_X_2018_1000 NAC_ST_5_NC_4 0
DE X 2018 1000 NAC ST_5_NC_5 DE_X_2018_1000 NAC_ST_5_NC_5 0
DE X 2018 1000 NAC ST_5_NC_6 DE_X_2018_1000 NAC_ST_5_NC_6 0
DE X 2018 1000 NAC ST_5_NC_7 DE_X_2018_1000 NAC_ST_5_NC_7 0
DE EX_M 2017 1000 m3 1 DE_EX_M_2017_1000 m3_1 1129.098 EU1
DE EX_M 2017 1000 m3 1_1 DE_EX_M_2017_1000 m3_1_1 157.293
DE EX_M 2017 1000 m3 1_2 DE_EX_M_2017_1000 m3_1_2 17.743
DE EX_M 2017 1000 m3 1_2_C DE_EX_M_2017_1000 m3_1_2_C 139.55
DE EX_M 2017 1000 m3 1_2_NC DE_EX_M_2017_1000 m3_1_2_NC 971.805
DE EX_M 2017 1000 m3 1_2_NC_T DE_EX_M_2017_1000 m3_1_2_NC_T 920.363
DE EX_M 2017 1000 mt 2 DE_EX_M_2017_1000 mt_2 51.442
DE EX_M 2017 1000 m3 3 DE_EX_M_2017_1000 m3_3 11.259
DE EX_M 2017 1000 m3 3_1 DE_EX_M_2017_1000 m3_3_1 112.03
DE EX_M 2017 1000 m3 3_2 DE_EX_M_2017_1000 m3_3_2 60.496
DE EX_M 2017 1000 mt 4 DE_EX_M_2017_1000 mt_4 36.139
DE EX_M 2017 1000 mt 4_1 DE_EX_M_2017_1000 mt_4_1 24.357
DE EX_M 2017 1000 mt 4_2 DE_EX_M_2017_1000 mt_4_2 128.583
DE EX_M 2017 1000 m3 5 DE_EX_M_2017_1000 m3_5 188.019
DE EX_M 2017 1000 m3 5_C DE_EX_M_2017_1000 m3_5_C 71.537
DE EX_M 2017 1000 m3 5_NC DE_EX_M_2017_1000 m3_5_NC 116.482
DE EX_M 2017 1000 m3 5_NC_T DE_EX_M_2017_1000 m3_5_NC_T 1748.146
DE EX_M 2017 1000 m3 6 DE_EX_M_2017_1000 m3_6 1551.434
DE EX_M 2017 1000 m3 6_1 DE_EX_M_2017_1000 m3_6_1 196.712
DE EX_M 2017 1000 m3 6_1_C DE_EX_M_2017_1000 m3_6_1_C 63.047
DE EX_M 2017 1000 m3 6_1_NC DE_EX_M_2017_1000 m3_6_1_NC 42.836
DE EX_M 2017 1000 m3 6_1_NC_T DE_EX_M_2017_1000 m3_6_1_NC_T 5.862
DE EX_M 2017 1000 m3 6_2 DE_EX_M_2017_1000 m3_6_2 36.974
DE EX_M 2017 1000 m3 6_2_C DE_EX_M_2017_1000 m3_6_2_C 8.102
DE EX_M 2017 1000 m3 6_2_NC DE_EX_M_2017_1000 m3_6_2_NC 1119.444
DE EX_M 2017 1000 m3 6_2_NC_T DE_EX_M_2017_1000 m3_6_2_NC_T 674.524
DE EX_M 2017 1000 m3 6_3 DE_EX_M_2017_1000 m3_6_3 296.403
DE EX_M 2017 1000 m3 6_3_1 DE_EX_M_2017_1000 m3_6_3_1 378.121
DE EX_M 2017 1000 m3 6_4 DE_EX_M_2017_1000 m3_6_4 44.526
DE EX_M 2017 1000 m3 6_4_1 DE_EX_M_2017_1000 m3_6_4_1 220.748
DE EX_M 2017 1000 m3 6_4_2 DE_EX_M_2017_1000 m3_6_4_2 5.456
DE EX_M 2017 1000 m3 6_4_3 DE_EX_M_2017_1000 m3_6_4_3 224.172
DE EX_M 2017 1000 mt 7 DE_EX_M_2017_1000 mt_7 27.067
DE EX_M 2017 1000 mt 7_1 DE_EX_M_2017_1000 mt_7_1 123.413
DE EX_M 2017 1000 mt 7_2 DE_EX_M_2017_1000 mt_7_2 73.692
DE EX_M 2017 1000 mt 7_3 DE_EX_M_2017_1000 mt_7_3 2099.5087480238
DE EX_M 2017 1000 mt 7_3_1 DE_EX_M_2017_1000 mt_7_3_1 65.3127721387
DE EX_M 2017 1000 mt 7_3_2 DE_EX_M_2017_1000 mt_7_3_2 1858.0494086018
DE EX_M 2017 1000 mt 7_3_3 DE_EX_M_2017_1000 mt_7_3_3 1824.7992700584
DE EX_M 2017 1000 mt 7_3_4 DE_EX_M_2017_1000 mt_7_3_4 1780.4657520006
DE EX_M 2017 1000 mt 7_4 DE_EX_M_2017_1000 mt_7_4 33.2501385434
DE EX_M 2017 1000 mt 8 DE_EX_M_2017_1000 mt_8 176.1465672833
DE EX_M 2017 1000 mt 8_1 DE_EX_M_2017_1000 mt_8_1 38.7918283006
DE EX_M 2017 1000 mt 8_2 DE_EX_M_2017_1000 mt_8_2 6.3333597225
DE EX_M 2017 1000 mt 9 DE_EX_M_2017_1000 mt_9 32.458468578
DE EX_M 2017 1000 mt 10 DE_EX_M_2017_1000 mt_10 1910.6954612954
DE EX_M 2017 1000 mt 10_1 DE_EX_M_2017_1000 mt_10_1 1242.95
DE EX_M 2017 1000 mt 10_1_1 DE_EX_M_2017_1000 mt_10_1_1 583.8044567946
DE EX_M 2017 1000 mt 10_1_2 DE_EX_M_2017_1000 mt_10_1_2 93.0829056197
DE EX_M 2017 1000 mt 10_1_3 DE_EX_M_2017_1000 mt_10_1_3 80.5884115361
DE EX_M 2017 1000 mt 10_1_4 DE_EX_M_2017_1000 mt_10_1_4 134.2611666766
DE EX_M 2017 1000 mt 10_2 DE_EX_M_2017_1000 mt_10_2 275.8719729623
DE EX_M 2017 1000 mt 10_3 DE_EX_M_2017_1000 mt_10_3 71.4821768936
DE EX_M 2017 1000 mt 10_3_1 DE_EX_M_2017_1000 mt_10_3_1 566.5784658882
DE EX_M 2017 1000 mt 10_3_2 DE_EX_M_2017_1000 mt_10_3_2 286.8221368114
DE EX_M 2017 1000 mt 10_3_3 DE_EX_M_2017_1000 mt_10_3_3 149.5038132972
DE EX_M 2017 1000 mt 10_3_4 DE_EX_M_2017_1000 mt_10_3_4 102.2444621337
DE EX_M 2017 1000 mt 10_4 DE_EX_M_2017_1000 mt_10_4 28.0080536459
DE EX_M 2017 1000 NAC 1 DE_EX_M_2017_1000 NAC_1 100884
DE EX_M 2017 1000 NAC 1_1 DE_EX_M_2017_1000 NAC_1_1 15596
DE EX_M 2017 1000 NAC 1_2 DE_EX_M_2017_1000 NAC_1_2 1525
DE EX_M 2017 1000 NAC 1_2_C DE_EX_M_2017_1000 NAC_1_2_C 14071
DE EX_M 2017 1000 NAC 1_2_NC DE_EX_M_2017_1000 NAC_1_2_NC 85288
DE EX_M 2017 1000 NAC 1_2_NC_T DE_EX_M_2017_1000 NAC_1_2_NC_T 64465
DE EX_M 2017 1000 NAC 2 DE_EX_M_2017_1000 NAC_2 20823
DE EX_M 2017 1000 NAC 3 DE_EX_M_2017_1000 NAC_3 5789
DE EX_M 2017 1000 NAC 3_1 DE_EX_M_2017_1000 NAC_3_1 48700
DE EX_M 2017 1000 NAC 3_2 DE_EX_M_2017_1000 NAC_3_2 1790
DE EX_M 2017 1000 NAC 4 DE_EX_M_2017_1000 NAC_4 1191
DE EX_M 2017 1000 NAC 4_1 DE_EX_M_2017_1000 NAC_4_1 599
DE EX_M 2017 1000 NAC 4_2 DE_EX_M_2017_1000 NAC_4_2 2605
DE EX_M 2017 1000 NAC 5 DE_EX_M_2017_1000 NAC_5 22225
DE EX_M 2017 1000 NAC 5_C DE_EX_M_2017_1000 NAC_5_C 8556
DE EX_M 2017 1000 NAC 5_NC DE_EX_M_2017_1000 NAC_5_NC 13669
DE EX_M 2017 1000 NAC 5_NC_T DE_EX_M_2017_1000 NAC_5_NC_T 396786
DE EX_M 2017 1000 NAC 6 DE_EX_M_2017_1000 NAC_6 277416
DE EX_M 2017 1000 NAC 6_1 DE_EX_M_2017_1000 NAC_6_1 119370
DE EX_M 2017 1000 NAC 6_1_C DE_EX_M_2017_1000 NAC_6_1_C 53969
DE EX_M 2017 1000 NAC 6_1_NC DE_EX_M_2017_1000 NAC_6_1_NC 58553
DE EX_M 2017 1000 NAC 6_1_NC_T DE_EX_M_2017_1000 NAC_6_1_NC_T 9236
DE EX_M 2017 1000 NAC 6_2 DE_EX_M_2017_1000 NAC_6_2 49317
DE EX_M 2017 1000 NAC 6_2_C DE_EX_M_2017_1000 NAC_6_2_C 5540
DE EX_M 2017 1000 NAC 6_2_NC DE_EX_M_2017_1000 NAC_6_2_NC 414297
DE EX_M 2017 1000 NAC 6_2_NC_T DE_EX_M_2017_1000 NAC_6_2_NC_T 257368
DE EX_M 2017 1000 NAC 6_3 DE_EX_M_2017_1000 NAC_6_3 76722.5
DE EX_M 2017 1000 NAC 6_3_1 DE_EX_M_2017_1000 NAC_6_3_1 180645.5
DE EX_M 2017 1000 NAC 6_4 DE_EX_M_2017_1000 NAC_6_4 27823
DE EX_M 2017 1000 NAC 6_4_1 DE_EX_M_2017_1000 NAC_6_4_1 59142
DE EX_M 2017 1000 NAC 6_4_2 DE_EX_M_2017_1000 NAC_6_4_2 1027
DE EX_M 2017 1000 NAC 6_4_3 DE_EX_M_2017_1000 NAC_6_4_3 97787
DE EX_M 2017 1000 NAC 7 DE_EX_M_2017_1000 NAC_7 19966
DE EX_M 2017 1000 NAC 7_1 DE_EX_M_2017_1000 NAC_7_1 65852
DE EX_M 2017 1000 NAC 7_2 DE_EX_M_2017_1000 NAC_7_2 11969
DE EX_M 2017 1000 NAC 7_3 DE_EX_M_2017_1000 NAC_7_3 1117803.94922076
DE EX_M 2017 1000 NAC 7_3_1 DE_EX_M_2017_1000 NAC_7_3_1 34661.2902565431
DE EX_M 2017 1000 NAC 7_3_2 DE_EX_M_2017_1000 NAC_7_3_2 933581.556621253
DE EX_M 2017 1000 NAC 7_3_3 DE_EX_M_2017_1000 NAC_7_3_3 902181.154951856
DE EX_M 2017 1000 NAC 7_3_4 DE_EX_M_2017_1000 NAC_7_3_4 880243.188542924
DE EX_M 2017 1000 NAC 7_4 DE_EX_M_2017_1000 NAC_7_4 31400.4016693976
DE EX_M 2017 1000 NAC 8 DE_EX_M_2017_1000 NAC_8 149561.102342962
DE EX_M 2017 1000 NAC 8_1 DE_EX_M_2017_1000 NAC_8_1 11568.2773682119
DE EX_M 2017 1000 NAC 8_2 DE_EX_M_2017_1000 NAC_8_2 9669.8527913789
DE EX_M 2017 1000 NAC 9 DE_EX_M_2017_1000 NAC_9 1898.424576833
DE EX_M 2017 1000 NAC 10 DE_EX_M_2017_1000 NAC_10 303786.328286597
DE EX_M 2017 1000 NAC 10_1 DE_EX_M_2017_1000 NAC_10_1 934788.548017172
DE EX_M 2017 1000 NAC 10_1_1 DE_EX_M_2017_1000 NAC_10_1_1 381497.550403917
DE EX_M 2017 1000 NAC 10_1_2 DE_EX_M_2017_1000 NAC_10_1_2 43199.1676823959
DE EX_M 2017 1000 NAC 10_1_3 DE_EX_M_2017_1000 NAC_10_1_3 50809.2597180229
DE EX_M 2017 1000 NAC 10_1_4 DE_EX_M_2017_1000 NAC_10_1_4 112055.520022619
DE EX_M 2017 1000 NAC 10_2 DE_EX_M_2017_1000 NAC_10_2 175433.60298088
DE EX_M 2017 1000 NAC 10_3 DE_EX_M_2017_1000 NAC_10_3 102367.603199855
DE EX_M 2017 1000 NAC 10_3_1 DE_EX_M_2017_1000 NAC_10_3_1 401840.973350077
DE EX_M 2017 1000 NAC 10_3_2 DE_EX_M_2017_1000 NAC_10_3_2 128169.838806839
DE EX_M 2017 1000 NAC 10_3_3 DE_EX_M_2017_1000 NAC_10_3_3 154267.750990666
DE EX_M 2017 1000 NAC 10_3_4 DE_EX_M_2017_1000 NAC_10_3_4 97610.544189061
DE EX_M 2017 1000 NAC 10_4 DE_EX_M_2017_1000 NAC_10_4 21792.8393635115
DE EX_M 2018 1000 m3 1 DE_EX_M_2018_1000 m3_1 875.686
DE EX_M 2018 1000 m3 1_1 DE_EX_M_2018_1000 m3_1_1 149.719
DE EX_M 2018 1000 m3 1_2 DE_EX_M_2018_1000 m3_1_2 14.557
DE EX_M 2018 1000 m3 1_2_C DE_EX_M_2018_1000 m3_1_2_C 135.162
DE EX_M 2018 1000 m3 1_2_NC DE_EX_M_2018_1000 m3_1_2_NC 725.967
DE EX_M 2018 1000 m3 1_2_NC_T DE_EX_M_2018_1000 m3_1_2_NC_T 650.634
DE EX_M 2018 1000 mt 2 DE_EX_M_2018_1000 mt_2 75.333
DE EX_M 2018 1000 m3 3 DE_EX_M_2018_1000 m3_3 7.992
DE EX_M 2018 1000 m3 3_1 DE_EX_M_2018_1000 m3_3_1 103.797
DE EX_M 2018 1000 m3 3_2 DE_EX_M_2018_1000 m3_3_2 30.45
DE EX_M 2018 1000 mt 4 DE_EX_M_2018_1000 mt_4 26.71
DE EX_M 2018 1000 mt 4_1 DE_EX_M_2018_1000 mt_4_1 3.74
DE EX_M 2018 1000 mt 4_2 DE_EX_M_2018_1000 mt_4_2 158.47
DE EX_M 2018 1000 m3 5 DE_EX_M_2018_1000 m3_5 190.344
DE EX_M 2018 1000 m3 5_C DE_EX_M_2018_1000 m3_5_C 48.54
DE EX_M 2018 1000 m3 5_NC DE_EX_M_2018_1000 m3_5_NC 141.804
DE EX_M 2018 1000 m3 5_NC_T DE_EX_M_2018_1000 m3_5_NC_T 1940.771
DE EX_M 2018 1000 m3 6 DE_EX_M_2018_1000 m3_6 1760.147
DE EX_M 2018 1000 m3 6_1 DE_EX_M_2018_1000 m3_6_1 180.624
DE EX_M 2018 1000 m3 6_1_C DE_EX_M_2018_1000 m3_6_1_C 65.468
DE EX_M 2018 1000 m3 6_1_NC DE_EX_M_2018_1000 m3_6_1_NC 37.927
DE EX_M 2018 1000 m3 6_1_NC_T DE_EX_M_2018_1000 m3_6_1_NC_T 4.896
DE EX_M 2018 1000 m3 6_2 DE_EX_M_2018_1000 m3_6_2 33.031
DE EX_M 2018 1000 m3 6_2_C DE_EX_M_2018_1000 m3_6_2_C 7.907
DE EX_M 2018 1000 m3 6_2_NC DE_EX_M_2018_1000 m3_6_2_NC 1206.217
DE EX_M 2018 1000 m3 6_2_NC_T DE_EX_M_2018_1000 m3_6_2_NC_T 762.527
DE EX_M 2018 1000 m3 6_3 DE_EX_M_2018_1000 m3_6_3 326.906
DE EX_M 2018 1000 m3 6_3_1 DE_EX_M_2018_1000 m3_6_3_1 435.621
DE EX_M 2018 1000 m3 6_4 DE_EX_M_2018_1000 m3_6_4 45.567
DE EX_M 2018 1000 m3 6_4_1 DE_EX_M_2018_1000 m3_6_4_1 208.255
DE EX_M 2018 1000 m3 6_4_2 DE_EX_M_2018_1000 m3_6_4_2 6.821
DE EX_M 2018 1000 m3 6_4_3 DE_EX_M_2018_1000 m3_6_4_3 235.435
DE EX_M 2018 1000 mt 7 DE_EX_M_2018_1000 mt_7 25.038
DE EX_M 2018 1000 mt 7_1 DE_EX_M_2018_1000 mt_7_1 132.068
DE EX_M 2018 1000 mt 7_2 DE_EX_M_2018_1000 mt_7_2 78.329
DE EX_M 2018 1000 mt 7_3 DE_EX_M_2018_1000 mt_7_3 1867.1536132029
DE EX_M 2018 1000 mt 7_3_1 DE_EX_M_2018_1000 mt_7_3_1 66.5002770867
DE EX_M 2018 1000 mt 7_3_2 DE_EX_M_2018_1000 mt_7_3_2 1635.1943133647
DE EX_M 2018 1000 mt 7_3_3 DE_EX_M_2018_1000 mt_7_3_3 1604.3191847173
DE EX_M 2018 1000 mt 7_3_4 DE_EX_M_2018_1000 mt_7_3_4 1553.2564719543
DE EX_M 2018 1000 mt 7_4 DE_EX_M_2018_1000 mt_7_4 30.8751286474
DE EX_M 2018 1000 mt 8 DE_EX_M_2018_1000 mt_8 165.4590227515
DE EX_M 2018 1000 mt 8_1 DE_EX_M_2018_1000 mt_8_1 43.1460131098
DE EX_M 2018 1000 mt 8_2 DE_EX_M_2018_1000 mt_8_2 6.3333597225
DE EX_M 2018 1000 mt 9 DE_EX_M_2018_1000 mt_9 36.8126533873
DE EX_M 2018 1000 mt 10 DE_EX_M_2018_1000 mt_10 1942.7580948908
DE EX_M 2018 1000 mt 10_1 DE_EX_M_2018_1000 mt_10_1 1282.586
DE EX_M 2018 1000 mt 10_1_1 DE_EX_M_2018_1000 mt_10_1_1 575.6674006479
DE EX_M 2018 1000 mt 10_1_2 DE_EX_M_2018_1000 mt_10_1_2 85.1692760299
DE EX_M 2018 1000 mt 10_1_3 DE_EX_M_2018_1000 mt_10_1_3 76.3624292435
DE EX_M 2018 1000 mt 10_1_4 DE_EX_M_2018_1000 mt_10_1_4 148.8636989978
DE EX_M 2018 1000 mt 10_2 DE_EX_M_2018_1000 mt_10_2 265.2719963767
DE EX_M 2018 1000 mt 10_3 DE_EX_M_2018_1000 mt_10_3 71.8787817277
DE EX_M 2018 1000 mt 10_3_1 DE_EX_M_2018_1000 mt_10_3_1 610.8418751605
DE EX_M 2018 1000 mt 10_3_2 DE_EX_M_2018_1000 mt_10_3_2 302.1156275384
DE EX_M 2018 1000 mt 10_3_3 DE_EX_M_2018_1000 mt_10_3_3 161.4209197299
DE EX_M 2018 1000 mt 10_3_4 DE_EX_M_2018_1000 mt_10_3_4 115.9149155384
DE EX_M 2018 1000 mt 10_4 DE_EX_M_2018_1000 mt_10_4 31.3904123539
DE EX_M 2018 1000 NAC 1 DE_EX_M_2018_1000 NAC_1 84885
DE EX_M 2018 1000 NAC 1_1 DE_EX_M_2018_1000 NAC_1_1 16040
DE EX_M 2018 1000 NAC 1_2 DE_EX_M_2018_1000 NAC_1_2 1547
DE EX_M 2018 1000 NAC 1_2_C DE_EX_M_2018_1000 NAC_1_2_C 14493
DE EX_M 2018 1000 NAC 1_2_NC DE_EX_M_2018_1000 NAC_1_2_NC 68845
DE EX_M 2018 1000 NAC 1_2_NC_T DE_EX_M_2018_1000 NAC_1_2_NC_T 49166
DE EX_M 2018 1000 NAC 2 DE_EX_M_2018_1000 NAC_2 19679
DE EX_M 2018 1000 NAC 3 DE_EX_M_2018_1000 NAC_3 4058
DE EX_M 2018 1000 NAC 3_1 DE_EX_M_2018_1000 NAC_3_1 48726
DE EX_M 2018 1000 NAC 3_2 DE_EX_M_2018_1000 NAC_3_2 981
DE EX_M 2018 1000 NAC 4 DE_EX_M_2018_1000 NAC_4 819
DE EX_M 2018 1000 NAC 4_1 DE_EX_M_2018_1000 NAC_4_1 162
DE EX_M 2018 1000 NAC 4_2 DE_EX_M_2018_1000 NAC_4_2 3475
DE EX_M 2018 1000 NAC 5 DE_EX_M_2018_1000 NAC_5 26385
DE EX_M 2018 1000 NAC 5_C DE_EX_M_2018_1000 NAC_5_C 6592
DE EX_M 2018 1000 NAC 5_NC DE_EX_M_2018_1000 NAC_5_NC 19793
DE EX_M 2018 1000 NAC 5_NC_T DE_EX_M_2018_1000 NAC_5_NC_T 445359
DE EX_M 2018 1000 NAC 6 DE_EX_M_2018_1000 NAC_6 324436
DE EX_M 2018 1000 NAC 6_1 DE_EX_M_2018_1000 NAC_6_1 120923
DE EX_M 2018 1000 NAC 6_1_C DE_EX_M_2018_1000 NAC_6_1_C 59590
DE EX_M 2018 1000 NAC 6_1_NC DE_EX_M_2018_1000 NAC_6_1_NC 50693
DE EX_M 2018 1000 NAC 6_1_NC_T DE_EX_M_2018_1000 NAC_6_1_NC_T 7520
DE EX_M 2018 1000 NAC 6_2 DE_EX_M_2018_1000 NAC_6_2 43173
DE EX_M 2018 1000 NAC 6_2_C DE_EX_M_2018_1000 NAC_6_2_C 7217
DE EX_M 2018 1000 NAC 6_2_NC DE_EX_M_2018_1000 NAC_6_2_NC 455951
DE EX_M 2018 1000 NAC 6_2_NC_T DE_EX_M_2018_1000 NAC_6_2_NC_T 302174
DE EX_M 2018 1000 NAC 6_3 DE_EX_M_2018_1000 NAC_6_3 95444.5
DE EX_M 2018 1000 NAC 6_3_1 DE_EX_M_2018_1000 NAC_6_3_1 206729.5
DE EX_M 2018 1000 NAC 6_4 DE_EX_M_2018_1000 NAC_6_4 29425
DE EX_M 2018 1000 NAC 6_4_1 DE_EX_M_2018_1000 NAC_6_4_1 57047
DE EX_M 2018 1000 NAC 6_4_2 DE_EX_M_2018_1000 NAC_6_4_2 1452
DE EX_M 2018 1000 NAC 6_4_3 DE_EX_M_2018_1000 NAC_6_4_3 96730
DE EX_M 2018 1000 NAC 7 DE_EX_M_2018_1000 NAC_7 18298
DE EX_M 2018 1000 NAC 7_1 DE_EX_M_2018_1000 NAC_7_1 68488
DE EX_M 2018 1000 NAC 7_2 DE_EX_M_2018_1000 NAC_7_2 9944
DE EX_M 2018 1000 NAC 7_3 DE_EX_M_2018_1000 NAC_7_3 1214589.95666572
DE EX_M 2018 1000 NAC 7_3_1 DE_EX_M_2018_1000 NAC_7_3_1 40018.9167468339
DE EX_M 2018 1000 NAC 7_3_2 DE_EX_M_2018_1000 NAC_7_3_2 1035909.64965842
DE EX_M 2018 1000 NAC 7_3_3 DE_EX_M_2018_1000 NAC_7_3_3 1004579.70661594
DE EX_M 2018 1000 NAC 7_3_4 DE_EX_M_2018_1000 NAC_7_3_4 976890.65374395
DE EX_M 2018 1000 NAC 7_4 DE_EX_M_2018_1000 NAC_7_4 31329.9430424842
DE EX_M 2018 1000 NAC 8 DE_EX_M_2018_1000 NAC_8 138661.390260462
DE EX_M 2018 1000 NAC 8_1 DE_EX_M_2018_1000 NAC_8_1 11495.8395663853
DE EX_M 2018 1000 NAC 8_2 DE_EX_M_2018_1000 NAC_8_2 9108.1629509856
DE EX_M 2018 1000 NAC 9 DE_EX_M_2018_1000 NAC_9 2387.6766153996
DE EX_M 2018 1000 NAC 10 DE_EX_M_2018_1000 NAC_10 291931.466390939
DE EX_M 2018 1000 NAC 10_1 DE_EX_M_2018_1000 NAC_10_1 1071401.89891363
DE EX_M 2018 1000 NAC 10_1_1 DE_EX_M_2018_1000 NAC_10_1_1 429639.721404213
DE EX_M 2018 1000 NAC 10_1_2 DE_EX_M_2018_1000 NAC_10_1_2 44191.2479334877
DE EX_M 2018 1000 NAC 10_1_3 DE_EX_M_2018_1000 NAC_10_1_3 52610.517942872
DE EX_M 2018 1000 NAC 10_1_4 DE_EX_M_2018_1000 NAC_10_1_4 131949.088726656
DE EX_M 2018 1000 NAC 10_2 DE_EX_M_2018_1000 NAC_10_2 200888.866801197
DE EX_M 2018 1000 NAC 10_3 DE_EX_M_2018_1000 NAC_10_3 109840.981945545
DE EX_M 2018 1000 NAC 10_3_1 DE_EX_M_2018_1000 NAC_10_3_1 477866.705771611
DE EX_M 2018 1000 NAC 10_3_2 DE_EX_M_2018_1000 NAC_10_3_2 163139.91401495
DE EX_M 2018 1000 NAC 10_3_3 DE_EX_M_2018_1000 NAC_10_3_3 170871.087531007
DE EX_M 2018 1000 NAC 10_3_4 DE_EX_M_2018_1000 NAC_10_3_4 119503.649528112
DE EX_M 2018 1000 NAC 10_4 DE_EX_M_2018_1000 NAC_10_4 24352.0546975421
DE EX_X 2017 1000 m3 1 DE_EX_X_2017_1000 m3_1 883.455
DE EX_X 2017 1000 m3 1_1 DE_EX_X_2017_1000 m3_1_1 3.162
DE EX_X 2017 1000 m3 1_2 DE_EX_X_2017_1000 m3_1_2 0.004
DE EX_X 2017 1000 m3 1_2_C DE_EX_X_2017_1000 m3_1_2_C 3.158
DE EX_X 2017 1000 m3 1_2_NC DE_EX_X_2017_1000 m3_1_2_NC 880.293
DE EX_X 2017 1000 m3 1_2_NC_T DE_EX_X_2017_1000 m3_1_2_NC_T 173.524
DE EX_X 2017 1000 mt 2 DE_EX_X_2017_1000 mt_2 706.769
DE EX_X 2017 1000 m3 3 DE_EX_X_2017_1000 m3_3 0.243
DE EX_X 2017 1000 m3 3_1 DE_EX_X_2017_1000 m3_3_1 3.058
DE EX_X 2017 1000 m3 3_2 DE_EX_X_2017_1000 m3_3_2 299.191
DE EX_X 2017 1000 mt 4 DE_EX_X_2017_1000 mt_4 221.796
DE EX_X 2017 1000 mt 4_1 DE_EX_X_2017_1000 mt_4_1 77.395
DE EX_X 2017 1000 mt 4_2 DE_EX_X_2017_1000 mt_4_2 39.922
DE EX_X 2017 1000 m3 5 DE_EX_X_2017_1000 m3_5 60.01
DE EX_X 2017 1000 m3 5_C DE_EX_X_2017_1000 m3_5_C 47.298
DE EX_X 2017 1000 m3 5_NC DE_EX_X_2017_1000 m3_5_NC 12.712
DE EX_X 2017 1000 m3 5_NC_T DE_EX_X_2017_1000 m3_5_NC_T 2976.688
DE EX_X 2017 1000 m3 6 DE_EX_X_2017_1000 m3_6 2483.756
DE EX_X 2017 1000 m3 6_1 DE_EX_X_2017_1000 m3_6_1 492.932
DE EX_X 2017 1000 m3 6_1_C DE_EX_X_2017_1000 m3_6_1_C 11.426
DE EX_X 2017 1000 m3 6_1_NC DE_EX_X_2017_1000 m3_6_1_NC 15.514
DE EX_X 2017 1000 m3 6_1_NC_T DE_EX_X_2017_1000 m3_6_1_NC_T 0.163
DE EX_X 2017 1000 m3 6_2 DE_EX_X_2017_1000 m3_6_2 15.351
DE EX_X 2017 1000 m3 6_2_C DE_EX_X_2017_1000 m3_6_2_C 1.366
DE EX_X 2017 1000 m3 6_2_NC DE_EX_X_2017_1000 m3_6_2_NC 1664.429
DE EX_X 2017 1000 m3 6_2_NC_T DE_EX_X_2017_1000 m3_6_2_NC_T 104.263
DE EX_X 2017 1000 m3 6_3 DE_EX_X_2017_1000 m3_6_3 70.113
DE EX_X 2017 1000 m3 6_3_1 DE_EX_X_2017_1000 m3_6_3_1 34.15
DE EX_X 2017 1000 m3 6_4 DE_EX_X_2017_1000 m3_6_4 4.33
DE EX_X 2017 1000 m3 6_4_1 DE_EX_X_2017_1000 m3_6_4_1 448.07
DE EX_X 2017 1000 m3 6_4_2 DE_EX_X_2017_1000 m3_6_4_2 189.362
DE EX_X 2017 1000 m3 6_4_3 DE_EX_X_2017_1000 m3_6_4_3 1112.096
DE EX_X 2017 1000 mt 7 DE_EX_X_2017_1000 mt_7 663.998
DE EX_X 2017 1000 mt 7_1 DE_EX_X_2017_1000 mt_7_1 299.373
DE EX_X 2017 1000 mt 7_2 DE_EX_X_2017_1000 mt_7_2 148.725
DE EX_X 2017 1000 mt 7_3 DE_EX_X_2017_1000 mt_7_3 495.9812332718
DE EX_X 2017 1000 mt 7_3_1 DE_EX_X_2017_1000 mt_7_3_1 42.3543431445
DE EX_X 2017 1000 mt 7_3_2 DE_EX_X_2017_1000 mt_7_3_2 446.1060254568
DE EX_X 2017 1000 mt 7_3_3 DE_EX_X_2017_1000 mt_7_3_3 410.8767120001
DE EX_X 2017 1000 mt 7_3_4 DE_EX_X_2017_1000 mt_7_3_4 407.3141971562
DE EX_X 2017 1000 mt 7_4 DE_EX_X_2017_1000 mt_7_4 35.2293134567
DE EX_X 2017 1000 mt 8 DE_EX_X_2017_1000 mt_8 7.5208646705
DE EX_X 2017 1000 mt 8_1 DE_EX_X_2017_1000 mt_8_1 43.9376830752
DE EX_X 2017 1000 mt 8_2 DE_EX_X_2017_1000 mt_8_2 0.3958349827
DE EX_X 2017 1000 mt 9 DE_EX_X_2017_1000 mt_9 43.5418480925
DE EX_X 2017 1000 mt 10 DE_EX_X_2017_1000 mt_10 1158.6089942431
DE EX_X 2017 1000 mt 10_1 DE_EX_X_2017_1000 mt_10_1 2893.897
DE EX_X 2017 1000 mt 10_1_1 DE_EX_X_2017_1000 mt_10_1_1 1207.7474936165
DE EX_X 2017 1000 mt 10_1_2 DE_EX_X_2017_1000 mt_10_1_2 137.0785703835
DE EX_X 2017 1000 mt 10_1_3 DE_EX_X_2017_1000 mt_10_1_3 197.8340796507
DE EX_X 2017 1000 mt 10_1_4 DE_EX_X_2017_1000 mt_10_1_4 207.7505911457
DE EX_X 2017 1000 mt 10_2 DE_EX_X_2017_1000 mt_10_2 665.0842524367
DE EX_X 2017 1000 mt 10_3 DE_EX_X_2017_1000 mt_10_3 147.1005172647
DE EX_X 2017 1000 mt 10_3_1 DE_EX_X_2017_1000 mt_10_3_1 1469.1337229889
DE EX_X 2017 1000 mt 10_3_2 DE_EX_X_2017_1000 mt_10_3_2 843.0894055914
DE EX_X 2017 1000 mt 10_3_3 DE_EX_X_2017_1000 mt_10_3_3 424.163100683
DE EX_X 2017 1000 mt 10_3_4 DE_EX_X_2017_1000 mt_10_3_4 136.4764497186
DE EX_X 2017 1000 mt 10_4 DE_EX_X_2017_1000 mt_10_4 65.4047669959
DE EX_X 2017 1000 NAC 1 DE_EX_X_2017_1000 NAC_1 131168
DE EX_X 2017 1000 NAC 1_1 DE_EX_X_2017_1000 NAC_1_1 853
DE EX_X 2017 1000 NAC 1_2 DE_EX_X_2017_1000 NAC_1_2 5
DE EX_X 2017 1000 NAC 1_2_C DE_EX_X_2017_1000 NAC_1_2_C 848
DE EX_X 2017 1000 NAC 1_2_NC DE_EX_X_2017_1000 NAC_1_2_NC 130315
DE EX_X 2017 1000 NAC 1_2_NC_T DE_EX_X_2017_1000 NAC_1_2_NC_T 17605
DE EX_X 2017 1000 NAC 2 DE_EX_X_2017_1000 NAC_2 112710
DE EX_X 2017 1000 NAC 3 DE_EX_X_2017_1000 NAC_3 588
DE EX_X 2017 1000 NAC 3_1 DE_EX_X_2017_1000 NAC_3_1 2548
DE EX_X 2017 1000 NAC 3_2 DE_EX_X_2017_1000 NAC_3_2 19408
DE EX_X 2017 1000 NAC 4 DE_EX_X_2017_1000 NAC_4 13132
DE EX_X 2017 1000 NAC 4_1 DE_EX_X_2017_1000 NAC_4_1 6276
DE EX_X 2017 1000 NAC 4_2 DE_EX_X_2017_1000 NAC_4_2 8164
DE EX_X 2017 1000 NAC 5 DE_EX_X_2017_1000 NAC_5 24377
DE EX_X 2017 1000 NAC 5_C DE_EX_X_2017_1000 NAC_5_C 18508
DE EX_X 2017 1000 NAC 5_NC DE_EX_X_2017_1000 NAC_5_NC 5869
DE EX_X 2017 1000 NAC 5_NC_T DE_EX_X_2017_1000 NAC_5_NC_T 759572
DE EX_X 2017 1000 NAC 6 DE_EX_X_2017_1000 NAC_6 541814
DE EX_X 2017 1000 NAC 6_1 DE_EX_X_2017_1000 NAC_6_1 217758
DE EX_X 2017 1000 NAC 6_1_C DE_EX_X_2017_1000 NAC_6_1_C 13790
DE EX_X 2017 1000 NAC 6_1_NC DE_EX_X_2017_1000 NAC_6_1_NC 50893
DE EX_X 2017 1000 NAC 6_1_NC_T DE_EX_X_2017_1000 NAC_6_1_NC_T 972
DE EX_X 2017 1000 NAC 6_2 DE_EX_X_2017_1000 NAC_6_2 49921
DE EX_X 2017 1000 NAC 6_2_C DE_EX_X_2017_1000 NAC_6_2_C 4487
DE EX_X 2017 1000 NAC 6_2_NC DE_EX_X_2017_1000 NAC_6_2_NC 809898
DE EX_X 2017 1000 NAC 6_2_NC_T DE_EX_X_2017_1000 NAC_6_2_NC_T 84494
DE EX_X 2017 1000 NAC 6_3 DE_EX_X_2017_1000 NAC_6_3 41280
DE EX_X 2017 1000 NAC 6_3_1 DE_EX_X_2017_1000 NAC_6_3_1 43214
DE EX_X 2017 1000 NAC 6_4 DE_EX_X_2017_1000 NAC_6_4 6690
DE EX_X 2017 1000 NAC 6_4_1 DE_EX_X_2017_1000 NAC_6_4_1 122234
DE EX_X 2017 1000 NAC 6_4_2 DE_EX_X_2017_1000 NAC_6_4_2 46396
DE EX_X 2017 1000 NAC 6_4_3 DE_EX_X_2017_1000 NAC_6_4_3 603170
DE EX_X 2017 1000 NAC 7 DE_EX_X_2017_1000 NAC_7 407999
DE EX_X 2017 1000 NAC 7_1 DE_EX_X_2017_1000 NAC_7_1 178585
DE EX_X 2017 1000 NAC 7_2 DE_EX_X_2017_1000 NAC_7_2 16586
DE EX_X 2017 1000 NAC 7_3 DE_EX_X_2017_1000 NAC_7_3 271615.631740944
DE EX_X 2017 1000 NAC 7_3_1 DE_EX_X_2017_1000 NAC_7_3_1 17115.1129802137
DE EX_X 2017 1000 NAC 7_3_2 DE_EX_X_2017_1000 NAC_7_3_2 246372.839061792
DE EX_X 2017 1000 NAC 7_3_3 DE_EX_X_2017_1000 NAC_7_3_3 207183.988273594
DE EX_X 2017 1000 NAC 7_3_4 DE_EX_X_2017_1000 NAC_7_3_4 205154.146482518
DE EX_X 2017 1000 NAC 7_4 DE_EX_X_2017_1000 NAC_7_4 39188.8507881978
DE EX_X 2017 1000 NAC 8 DE_EX_X_2017_1000 NAC_8 8127.6796989391
DE EX_X 2017 1000 NAC 8_1 DE_EX_X_2017_1000 NAC_8_1 21004.5875198219
DE EX_X 2017 1000 NAC 8_2 DE_EX_X_2017_1000 NAC_8_2 286.9803624278
DE EX_X 2017 1000 NAC 9 DE_EX_X_2017_1000 NAC_9 20717.6071573941
DE EX_X 2017 1000 NAC 10 DE_EX_X_2017_1000 NAC_10 169849.624379154
DE EX_X 2017 1000 NAC 10_1 DE_EX_X_2017_1000 NAC_10_1 2433895.1571345
DE EX_X 2017 1000 NAC 10_1_1 DE_EX_X_2017_1000 NAC_10_1_1 903033.354247896
DE EX_X 2017 1000 NAC 10_1_2 DE_EX_X_2017_1000 NAC_10_1_2 63529.1291239193
DE EX_X 2017 1000 NAC 10_1_3 DE_EX_X_2017_1000 NAC_10_1_3 105283.103180251
DE EX_X 2017 1000 NAC 10_1_4 DE_EX_X_2017_1000 NAC_10_1_4 226703.83148043
DE EX_X 2017 1000 NAC 10_2 DE_EX_X_2017_1000 NAC_10_2 507517.290463295
DE EX_X 2017 1000 NAC 10_3 DE_EX_X_2017_1000 NAC_10_3 271131.687640698
DE EX_X 2017 1000 NAC 10_3_1 DE_EX_X_2017_1000 NAC_10_3_1 1093288.25129634
DE EX_X 2017 1000 NAC 10_3_2 DE_EX_X_2017_1000 NAC_10_3_2 381623.594378427
DE EX_X 2017 1000 NAC 10_3_3 DE_EX_X_2017_1000 NAC_10_3_3 497603.283513619
DE EX_X 2017 1000 NAC 10_3_4 DE_EX_X_2017_1000 NAC_10_3_4 167562.855497656
DE EX_X 2017 1000 NAC 10_4 DE_EX_X_2017_1000 NAC_10_4 46498.5179066323
DE EX_X 2018 1000 m3 1 DE_EX_X_2018_1000 m3_1 1258.392
DE EX_X 2018 1000 m3 1_1 DE_EX_X_2018_1000 m3_1_1 3.382
DE EX_X 2018 1000 m3 1_2 DE_EX_X_2018_1000 m3_1_2 0.023
DE EX_X 2018 1000 m3 1_2_C DE_EX_X_2018_1000 m3_1_2_C 3.359
DE EX_X 2018 1000 m3 1_2_NC DE_EX_X_2018_1000 m3_1_2_NC 1255.01
DE EX_X 2018 1000 m3 1_2_NC_T DE_EX_X_2018_1000 m3_1_2_NC_T 548.498
DE EX_X 2018 1000 mt 2 DE_EX_X_2018_1000 mt_2 706.512
DE EX_X 2018 1000 m3 3 DE_EX_X_2018_1000 m3_3 0.189
DE EX_X 2018 1000 m3 3_1 DE_EX_X_2018_1000 m3_3_1 3.575
DE EX_X 2018 1000 m3 3_2 DE_EX_X_2018_1000 m3_3_2 328.264
DE EX_X 2018 1000 mt 4 DE_EX_X_2018_1000 mt_4 220.268
DE EX_X 2018 1000 mt 4_1 DE_EX_X_2018_1000 mt_4_1 107.996
DE EX_X 2018 1000 mt 4_2 DE_EX_X_2018_1000 mt_4_2 24.349
DE EX_X 2018 1000 m3 5 DE_EX_X_2018_1000 m3_5 67.384
DE EX_X 2018 1000 m3 5_C DE_EX_X_2018_1000 m3_5_C 54.605
DE EX_X 2018 1000 m3 5_NC DE_EX_X_2018_1000 m3_5_NC 12.779
DE EX_X 2018 1000 m3 5_NC_T DE_EX_X_2018_1000 m3_5_NC_T 3467.992
DE EX_X 2018 1000 m3 6 DE_EX_X_2018_1000 m3_6 2985.836
DE EX_X 2018 1000 m3 6_1 DE_EX_X_2018_1000 m3_6_1 482.156
DE EX_X 2018 1000 m3 6_1_C DE_EX_X_2018_1000 m3_6_1_C 10.042
DE EX_X 2018 1000 m3 6_1_NC DE_EX_X_2018_1000 m3_6_1_NC 15.876
DE EX_X 2018 1000 m3 6_1_NC_T DE_EX_X_2018_1000 m3_6_1_NC_T 0.086
DE EX_X 2018 1000 m3 6_2 DE_EX_X_2018_1000 m3_6_2 15.79
DE EX_X 2018 1000 m3 6_2_C DE_EX_X_2018_1000 m3_6_2_C 1.248
DE EX_X 2018 1000 m3 6_2_NC DE_EX_X_2018_1000 m3_6_2_NC 1576.77
DE EX_X 2018 1000 m3 6_2_NC_T DE_EX_X_2018_1000 m3_6_2_NC_T 99.163
DE EX_X 2018 1000 m3 6_3 DE_EX_X_2018_1000 m3_6_3 68.827
DE EX_X 2018 1000 m3 6_3_1 DE_EX_X_2018_1000 m3_6_3_1 30.336
DE EX_X 2018 1000 m3 6_4 DE_EX_X_2018_1000 m3_6_4 2.496
DE EX_X 2018 1000 m3 6_4_1 DE_EX_X_2018_1000 m3_6_4_1 433.222
DE EX_X 2018 1000 m3 6_4_2 DE_EX_X_2018_1000 m3_6_4_2 180.911
DE EX_X 2018 1000 m3 6_4_3 DE_EX_X_2018_1000 m3_6_4_3 1044.385
DE EX_X 2018 1000 mt 7 DE_EX_X_2018_1000 mt_7 593.864
DE EX_X 2018 1000 mt 7_1 DE_EX_X_2018_1000 mt_7_1 332.799
DE EX_X 2018 1000 mt 7_2 DE_EX_X_2018_1000 mt_7_2 117.722
DE EX_X 2018 1000 mt 7_3 DE_EX_X_2018_1000 mt_7_3 426.3142763238
DE EX_X 2018 1000 mt 7_3_1 DE_EX_X_2018_1000 mt_7_3_1 39.5834982659
DE EX_X 2018 1000 mt 7_3_2 DE_EX_X_2018_1000 mt_7_3_2 381.1890883007
DE EX_X 2018 1000 mt 7_3_3 DE_EX_X_2018_1000 mt_7_3_3 347.5431147747
DE EX_X 2018 1000 mt 7_3_4 DE_EX_X_2018_1000 mt_7_3_4 344.7722698961
DE EX_X 2018 1000 mt 7_4 DE_EX_X_2018_1000 mt_7_4 33.645973526
DE EX_X 2018 1000 mt 8 DE_EX_X_2018_1000 mt_8 5.5416897572
DE EX_X 2018 1000 mt 8_1 DE_EX_X_2018_1000 mt_8_1 53.437722659
DE EX_X 2018 1000 mt 8_2 DE_EX_X_2018_1000 mt_8_2 0.3958349827
DE EX_X 2018 1000 mt 9 DE_EX_X_2018_1000 mt_9 53.0418876763
DE EX_X 2018 1000 mt 10 DE_EX_X_2018_1000 mt_10 1099.629581827
DE EX_X 2018 1000 mt 10_1 DE_EX_X_2018_1000 mt_10_1 2941.439
DE EX_X 2018 1000 mt 10_1_1 DE_EX_X_2018_1000 mt_10_1_1 1160.9656283598
DE EX_X 2018 1000 mt 10_1_2 DE_EX_X_2018_1000 mt_10_1_2 94.4674827635
DE EX_X 2018 1000 mt 10_1_3 DE_EX_X_2018_1000 mt_10_1_3 213.0067794204
DE EX_X 2018 1000 mt 10_1_4 DE_EX_X_2018_1000 mt_10_1_4 205.6694126777
DE EX_X 2018 1000 mt 10_2 DE_EX_X_2018_1000 mt_10_2 647.8219534982
DE EX_X 2018 1000 mt 10_3 DE_EX_X_2018_1000 mt_10_3 147.0826808517
DE EX_X 2018 1000 mt 10_3_1 DE_EX_X_2018_1000 mt_10_3_1 1563.2588461851
DE EX_X 2018 1000 mt 10_3_2 DE_EX_X_2018_1000 mt_10_3_2 900.4051669808
DE EX_X 2018 1000 mt 10_3_3 DE_EX_X_2018_1000 mt_10_3_3 426.5146986741
DE EX_X 2018 1000 mt 10_3_4 DE_EX_X_2018_1000 mt_10_3_4 175.0978778648
DE EX_X 2018 1000 mt 10_4 DE_EX_X_2018_1000 mt_10_4 61.2411026654
DE EX_X 2018 1000 NAC 1 DE_EX_X_2018_1000 NAC_1 177191
DE EX_X 2018 1000 NAC 1_1 DE_EX_X_2018_1000 NAC_1_1 1087
DE EX_X 2018 1000 NAC 1_2 DE_EX_X_2018_1000 NAC_1_2 21
DE EX_X 2018 1000 NAC 1_2_C DE_EX_X_2018_1000 NAC_1_2_C 1066
DE EX_X 2018 1000 NAC 1_2_NC DE_EX_X_2018_1000 NAC_1_2_NC 176104
DE EX_X 2018 1000 NAC 1_2_NC_T DE_EX_X_2018_1000 NAC_1_2_NC_T 52213
DE EX_X 2018 1000 NAC 2 DE_EX_X_2018_1000 NAC_2 123891
DE EX_X 2018 1000 NAC 3 DE_EX_X_2018_1000 NAC_3 709
DE EX_X 2018 1000 NAC 3_1 DE_EX_X_2018_1000 NAC_3_1 3258
DE EX_X 2018 1000 NAC 3_2 DE_EX_X_2018_1000 NAC_3_2 23779
DE EX_X 2018 1000 NAC 4 DE_EX_X_2018_1000 NAC_4 14108
DE EX_X 2018 1000 NAC 4_1 DE_EX_X_2018_1000 NAC_4_1 9671
DE EX_X 2018 1000 NAC 4_2 DE_EX_X_2018_1000 NAC_4_2 4805
DE EX_X 2018 1000 NAC 5 DE_EX_X_2018_1000 NAC_5 26960
DE EX_X 2018 1000 NAC 5_C DE_EX_X_2018_1000 NAC_5_C 21047
DE EX_X 2018 1000 NAC 5_NC DE_EX_X_2018_1000 NAC_5_NC 5913
DE EX_X 2018 1000 NAC 5_NC_T DE_EX_X_2018_1000 NAC_5_NC_T 890962
DE EX_X 2018 1000 NAC 6 DE_EX_X_2018_1000 NAC_6 676065
DE EX_X 2018 1000 NAC 6_1 DE_EX_X_2018_1000 NAC_6_1 214897
DE EX_X 2018 1000 NAC 6_1_C DE_EX_X_2018_1000 NAC_6_1_C 13113
DE EX_X 2018 1000 NAC 6_1_NC DE_EX_X_2018_1000 NAC_6_1_NC 51703
DE EX_X 2018 1000 NAC 6_1_NC_T DE_EX_X_2018_1000 NAC_6_1_NC_T 711
DE EX_X 2018 1000 NAC 6_2 DE_EX_X_2018_1000 NAC_6_2 50992
DE EX_X 2018 1000 NAC 6_2_C DE_EX_X_2018_1000 NAC_6_2_C 4086
DE EX_X 2018 1000 NAC 6_2_NC DE_EX_X_2018_1000 NAC_6_2_NC 777233
DE EX_X 2018 1000 NAC 6_2_NC_T DE_EX_X_2018_1000 NAC_6_2_NC_T 78524
DE EX_X 2018 1000 NAC 6_3 DE_EX_X_2018_1000 NAC_6_3 41386
DE EX_X 2018 1000 NAC 6_3_1 DE_EX_X_2018_1000 NAC_6_3_1 37138
DE EX_X 2018 1000 NAC 6_4 DE_EX_X_2018_1000 NAC_6_4 5028
DE EX_X 2018 1000 NAC 6_4_1 DE_EX_X_2018_1000 NAC_6_4_1 125538
DE EX_X 2018 1000 NAC 6_4_2 DE_EX_X_2018_1000 NAC_6_4_2 49564
DE EX_X 2018 1000 NAC 6_4_3 DE_EX_X_2018_1000 NAC_6_4_3 573171
DE EX_X 2018 1000 NAC 7 DE_EX_X_2018_1000 NAC_7 370943
DE EX_X 2018 1000 NAC 7_1 DE_EX_X_2018_1000 NAC_7_1 188438
DE EX_X 2018 1000 NAC 7_2 DE_EX_X_2018_1000 NAC_7_2 13790
DE EX_X 2018 1000 NAC 7_3 DE_EX_X_2018_1000 NAC_7_3 284928.749712717
DE EX_X 2018 1000 NAC 7_3_1 DE_EX_X_2018_1000 NAC_7_3_1 18597.9108252546
DE EX_X 2018 1000 NAC 7_3_2 DE_EX_X_2018_1000 NAC_7_3_2 260139.979758675
DE EX_X 2018 1000 NAC 7_3_3 DE_EX_X_2018_1000 NAC_7_3_3 219136.225574985
DE EX_X 2018 1000 NAC 7_3_4 DE_EX_X_2018_1000 NAC_7_3_4 217342.301433574
DE EX_X 2018 1000 NAC 7_4 DE_EX_X_2018_1000 NAC_7_4 41003.7541836897
DE EX_X 2018 1000 NAC 8 DE_EX_X_2018_1000 NAC_8 6190.8591287881
DE EX_X 2018 1000 NAC 8_1 DE_EX_X_2018_1000 NAC_8_1 24806.9783632451
DE EX_X 2018 1000 NAC 8_2 DE_EX_X_2018_1000 NAC_8_2 303.6054316995
DE EX_X 2018 1000 NAC 9 DE_EX_X_2018_1000 NAC_9 24503.3729315456
DE EX_X 2018 1000 NAC 10 DE_EX_X_2018_1000 NAC_10 134748.561456876
DE EX_X 2018 1000 NAC 10_1 DE_EX_X_2018_1000 NAC_10_1 2630460.12453475
DE EX_X 2018 1000 NAC 10_1_1 DE_EX_X_2018_1000 NAC_10_1_1 941405.994599197
DE EX_X 2018 1000 NAC 10_1_2 DE_EX_X_2018_1000 NAC_10_1_2 48396.5476190215
DE EX_X 2018 1000 NAC 10_1_3 DE_EX_X_2018_1000 NAC_10_1_3 121503.681770526
DE EX_X 2018 1000 NAC 10_1_4 DE_EX_X_2018_1000 NAC_10_1_4 236630.792553142
DE EX_X 2018 1000 NAC 10_2 DE_EX_X_2018_1000 NAC_10_2 534874.972656507
DE EX_X 2018 1000 NAC 10_3 DE_EX_X_2018_1000 NAC_10_3 279869.516235763
DE EX_X 2018 1000 NAC 10_3_1 DE_EX_X_2018_1000 NAC_10_3_1 1236262.07762781
DE EX_X 2018 1000 NAC 10_3_2 DE_EX_X_2018_1000 NAC_10_3_2 466270.752025484
DE EX_X 2018 1000 NAC 10_3_3 DE_EX_X_2018_1000 NAC_10_3_3 511486.689619991
DE EX_X 2018 1000 NAC 10_3_4 DE_EX_X_2018_1000 NAC_10_3_4 213064.038642557
DE EX_X 2018 1000 NAC 10_4 DE_EX_X_2018_1000 NAC_10_4 45440.5973397758
DE P 2017 1000 m3 EU2_1 DE_P_2017_1000 m3_EU2_1 65717.3790001642 EU2
DE P 2017 1000 m3 EU2_1_C DE_P_2017_1000 m3_EU2_1_C 45738.9661385792
DE P 2017 1000 m3 EU2_1_NC DE_P_2017_1000 m3_EU2_1_NC 19978.412861585
DE P 2017 1000 m3 EU2_1_1 DE_P_2017_1000 m3_EU2_1_1 20445.5291337174
DE P 2017 1000 m3 EU2_1_1_C DE_P_2017_1000 m3_EU2_1_1_C 14457.8312415682
DE P 2017 1000 m3 EU2_1_1_NC DE_P_2017_1000 m3_EU2_1_1_NC 5987.6978921492
DE P 2017 1000 m3 EU2_1_2 DE_P_2017_1000 m3_EU2_1_2 12592.7834326122
DE P 2017 1000 m3 EU2_1_2_C DE_P_2017_1000 m3_EU2_1_2_C 8168.5154309096
DE P 2017 1000 m3 EU2_1_2_NC DE_P_2017_1000 m3_EU2_1_2_NC 4424.2680017026
DE P 2017 1000 m3 EU2_1_3 DE_P_2017_1000 m3_EU2_1_3 32679.0665336704
DE P 2017 1000 m3 EU2_1_3_C DE_P_2017_1000 m3_EU2_1_3_C 23112.6195275222
DE P 2017 1000 m3 EU2_1_3_NC DE_P_2017_1000 m3_EU2_1_3_NC 9566.4470061481
DE P 2018 1000 m3 EU2_1 DE_P_2018_1000 m3_EU2_1 0
DE P 2018 1000 m3 EU2_1_C DE_P_2018_1000 m3_EU2_1_C 0
DE P 2018 1000 m3 EU2_1_NC DE_P_2018_1000 m3_EU2_1_NC 0
DE P 2018 1000 m3 EU2_1_1 DE_P_2018_1000 m3_EU2_1_1 0
DE P 2018 1000 m3 EU2_1_1_C DE_P_2018_1000 m3_EU2_1_1_C 0
DE P 2018 1000 m3 EU2_1_1_NC DE_P_2018_1000 m3_EU2_1_1_NC 0
DE P 2018 1000 m3 EU2_1_2 DE_P_2018_1000 m3_EU2_1_2 0
DE P 2018 1000 m3 EU2_1_2_C DE_P_2018_1000 m3_EU2_1_2_C 0
DE P 2018 1000 m3 EU2_1_2_NC DE_P_2018_1000 m3_EU2_1_2_NC 0
DE P 2018 1000 m3 EU2_1_3 DE_P_2018_1000 m3_EU2_1_3 0
DE P 2018 1000 m3 EU2_1_3_C DE_P_2018_1000 m3_EU2_1_3_C 0
DE P 2018 1000 m3 EU2_1_3_NC DE_P_2018_1000 m3_EU2_1_3_NC 0
DE P.OB 2017 1000 m3 1 DE_P.OB_2017_1000 m3_1 0 OB
DE P.OB 2017 1000 m3 1_C DE_P.OB_2017_1000 m3_1_C 0
DE P.OB 2017 1000 m3 1_NC DE_P.OB_2017_1000 m3_1_NC 0
DE P.OB 2017 1000 m3 1_1 DE_P.OB_2017_1000 m3_1_1 0
DE P.OB 2017 1000 m3 1_1_C DE_P.OB_2017_1000 m3_1_1_C 0
DE P.OB 2017 1000 m3 1_1_NC DE_P.OB_2017_1000 m3_1_1_NC 0
DE P.OB 2017 1000 m3 1_2 DE_P.OB_2017_1000 m3_1_2 0
DE P.OB 2017 1000 m3 1_2_C DE_P.OB_2017_1000 m3_1_2_C 0
DE P.OB 2017 1000 m3 1_2_NC DE_P.OB_2017_1000 m3_1_2_NC 0
DE P.OB 2017 1000 m3 1_2_1 DE_P.OB_2017_1000 m3_1_2_1 0
DE P.OB 2017 1000 m3 1_2_1_C DE_P.OB_2017_1000 m3_1_2_1_C 0
DE P.OB 2017 1000 m3 1_2_1_NC DE_P.OB_2017_1000 m3_1_2_1_NC 0
DE P.OB 2017 1000 m3 1_2_2 DE_P.OB_2017_1000 m3_1_2_2 0
DE P.OB 2017 1000 m3 1_2_2_C DE_P.OB_2017_1000 m3_1_2_2_C 0
DE P.OB 2017 1000 m3 1_2_2_NC DE_P.OB_2017_1000 m3_1_2_2_NC 0
DE P.OB 2017 1000 m3 1_2_3 DE_P.OB_2017_1000 m3_1_2_3 0
DE P.OB 2017 1000 m3 1_2_3_C DE_P.OB_2017_1000 m3_1_2_3_C 0
DE P.OB 2017 1000 m3 1_2_3_NC DE_P.OB_2017_1000 m3_1_2_3_NC ERROR:#REF!
DE P.OB 2018 1000 m3 1 DE_P.OB_2018_1000 m3_1 0
DE P.OB 2018 1000 m3 1_C DE_P.OB_2018_1000 m3_1_C 0
DE P.OB 2018 1000 m3 1_NC DE_P.OB_2018_1000 m3_1_NC 0
DE P.OB 2018 1000 m3 1_1 DE_P.OB_2018_1000 m3_1_1 0
DE P.OB 2018 1000 m3 1_1_C DE_P.OB_2018_1000 m3_1_1_C 0
DE P.OB 2018 1000 m3 1_1_NC DE_P.OB_2018_1000 m3_1_1_NC 0
DE P.OB 2018 1000 m3 1_2 DE_P.OB_2018_1000 m3_1_2 0
DE P.OB 2018 1000 m3 1_2_C DE_P.OB_2018_1000 m3_1_2_C 0
DE P.OB 2018 1000 m3 1_2_NC DE_P.OB_2018_1000 m3_1_2_NC 0
DE P.OB 2018 1000 m3 1_2_1 DE_P.OB_2018_1000 m3_1_2_1 0
DE P.OB 2018 1000 m3 1_2_1_C DE_P.OB_2018_1000 m3_1_2_1_C 0
DE P.OB 2018 1000 m3 1_2_1_NC DE_P.OB_2018_1000 m3_1_2_1_NC 0
DE P.OB 2018 1000 m3 1_2_2 DE_P.OB_2018_1000 m3_1_2_2 0
DE P.OB 2018 1000 m3 1_2_2_C DE_P.OB_2018_1000 m3_1_2_2_C 0
DE P.OB 2018 1000 m3 1_2_2_NC DE_P.OB_2018_1000 m3_1_2_2_NC 0
DE P.OB 2018 1000 m3 1_2_3 DE_P.OB_2018_1000 m3_1_2_3 0
DE P.OB 2018 1000 m3 1_2_3_C DE_P.OB_2018_1000 m3_1_2_3_C 0
DE P.OB 2018 1000 m3 1_2_3_NC DE_P.OB_2018_1000 m3_1_2_3_NC ERROR:#REF!

Database

Country Flow Year Unit Product conc
DE P 2015 1000 m3 1 DE_P_2015_1000 m3_1
DE P 2015 1000 m3 1_C DE_P_2015_1000 m3_1_C
DE P 2015 1000 m3 1_NC DE_P_2015_1000 m3_1_NC
DE P 2015 1000 m3 1_1 DE_P_2015_1000 m3_1_1
DE P 2015 1000 m3 1_1_C DE_P_2015_1000 m3_1_1_C
DE P 2015 1000 m3 1_1_NC DE_P_2015_1000 m3_1_1_NC
DE P 2015 1000 m3 1_2 DE_P_2015_1000 m3_1_2
DE P 2015 1000 m3 1_2_C DE_P_2015_1000 m3_1_2_C
DE P 2015 1000 m3 1_2_NC DE_P_2015_1000 m3_1_2_NC
DE P 2015 1000 m3 1_2_1 DE_P_2015_1000 m3_1_2_1
DE P 2015 1000 m3 1_2_1_C DE_P_2015_1000 m3_1_2_1_C
DE P 2015 1000 m3 1_2_1_NC DE_P_2015_1000 m3_1_2_1_NC
DE P 2015 1000 m3 1_2_2 DE_P_2015_1000 m3_1_2_2
DE P 2015 1000 m3 1_2_2_C DE_P_2015_1000 m3_1_2_2_C
DE P 2015 1000 m3 1_2_2_NC DE_P_2015_1000 m3_1_2_2_NC
DE P 2015 1000 m3 1_2_3 DE_P_2015_1000 m3_1_2_3
DE P 2015 1000 m3 1_2_3_C DE_P_2015_1000 m3_1_2_3_C
DE P 2015 1000 m3 1_2_3_NC DE_P_2015_1000 m3_1_2_3_NC
DE P 2015 1000 mt 2 DE_P_2015_1000 mt_2
DE P 2015 1000 m3 3 DE_P_2015_1000 m3_3
DE P 2015 1000 m3 3_1 DE_P_2015_1000 m3_3_1
DE P 2015 1000 m3 3_2 DE_P_2015_1000 m3_3_2
DE P 2015 1000 mt 4 DE_P_2015_1000 mt_4
DE P 2015 1000 mt 4_1 DE_P_2015_1000 mt_4_1
DE P 2015 1000 mt 4_2 DE_P_2015_1000 mt_4_2
DE P 2015 1000 m3 5 DE_P_2015_1000 m3_5
DE P 2015 1000 m3 5_C DE_P_2015_1000 m3_5_C
DE P 2015 1000 m3 5_NC DE_P_2015_1000 m3_5_NC
DE P 2015 1000 m3 5_NC_T DE_P_2015_1000 m3_5_NC_T
DE P 2015 1000 m3 6 DE_P_2015_1000 m3_6
DE P 2015 1000 m3 6_1 DE_P_2015_1000 m3_6_1
DE P 2015 1000 m3 6_1_C DE_P_2015_1000 m3_6_1_C
DE P 2015 1000 m3 6_1_NC DE_P_2015_1000 m3_6_1_NC
DE P 2015 1000 m3 6_1_NC_T DE_P_2015_1000 m3_6_1_NC_T
DE P 2015 1000 m3 6_2 DE_P_2015_1000 m3_6_2
DE P 2015 1000 m3 6_2_C DE_P_2015_1000 m3_6_2_C
DE P 2015 1000 m3 6_2_NC DE_P_2015_1000 m3_6_2_NC
DE P 2015 1000 m3 6_2_NC_T DE_P_2015_1000 m3_6_2_NC_T
DE P 2015 1000 m3 6_3 DE_P_2015_1000 m3_6_3
DE P 2015 1000 m3 6_3_1 DE_P_2015_1000 m3_6_3_1
DE P 2015 1000 m3 6_4 DE_P_2015_1000 m3_6_4
DE P 2015 1000 m3 6_4_1 DE_P_2015_1000 m3_6_4_1
DE P 2015 1000 m3 6_4_2 DE_P_2015_1000 m3_6_4_2
DE P 2015 1000 m3 6_4_3 DE_P_2015_1000 m3_6_4_3
DE P 2015 1000 mt 7 DE_P_2015_1000 mt_7
DE P 2015 1000 mt 7_1 DE_P_2015_1000 mt_7_1
DE P 2015 1000 mt 7_2 DE_P_2015_1000 mt_7_2
DE P 2015 1000 mt 7_3 DE_P_2015_1000 mt_7_3
DE P 2015 1000 mt 7_3_1 DE_P_2015_1000 mt_7_3_1
DE P 2015 1000 mt 7_3_2 DE_P_2015_1000 mt_7_3_2
DE P 2015 1000 mt 7_3_3 DE_P_2015_1000 mt_7_3_3
DE P 2015 1000 mt 7_3_4 DE_P_2015_1000 mt_7_3_4
DE P 2015 1000 mt 7_4 DE_P_2015_1000 mt_7_4
DE P 2015 1000 mt 8 DE_P_2015_1000 mt_8
DE P 2015 1000 mt 8_1 DE_P_2015_1000 mt_8_1
DE P 2015 1000 mt 8_2 DE_P_2015_1000 mt_8_2
DE P 2015 1000 mt 9 DE_P_2015_1000 mt_9
DE P 2015 1000 mt 10 DE_P_2015_1000 mt_10
DE P 2015 1000 mt 10_1 DE_P_2015_1000 mt_10_1
DE P 2015 1000 mt 10_1_1 DE_P_2015_1000 mt_10_1_1
DE P 2015 1000 mt 10_1_2 DE_P_2015_1000 mt_10_1_2
DE P 2015 1000 mt 10_1_3 DE_P_2015_1000 mt_10_1_3
DE P 2015 1000 mt 10_1_4 DE_P_2015_1000 mt_10_1_4
DE P 2015 1000 mt 10_2 DE_P_2015_1000 mt_10_2
DE P 2015 1000 mt 10_3 DE_P_2015_1000 mt_10_3
DE P 2015 1000 mt 10_3_1 DE_P_2015_1000 mt_10_3_1
DE P 2015 1000 mt 10_3_2 DE_P_2015_1000 mt_10_3_2
DE P 2015 1000 mt 10_3_3 DE_P_2015_1000 mt_10_3_3
DE P 2015 1000 mt 10_3_4 DE_P_2015_1000 mt_10_3_4
DE P 2015 1000 mt 10_4 DE_P_2015_1000 mt_10_4
DE M 2015 1000 m3 1 DE_M_2015_1000 m3_1
DE M 2015 1000 m3 1_1 DE_M_2015_1000 m3_1_1
DE M 2015 1000 m3 1_2 DE_M_2015_1000 m3_1_2
DE M 2015 1000 m3 1_2_C DE_M_2015_1000 m3_1_2_C
DE M 2015 1000 m3 1_2_NC DE_M_2015_1000 m3_1_2_NC
DE M 2015 1000 m3 1_2_NC_T DE_M_2015_1000 m3_1_2_NC_T
DE M 2015 1000 mt 2 DE_M_2015_1000 mt_2
DE M 2015 1000 m3 3 DE_M_2015_1000 m3_3
DE M 2015 1000 m3 3_1 DE_M_2015_1000 m3_3_1
DE M 2015 1000 m3 3_2 DE_M_2015_1000 m3_3_2
DE M 2015 1000 mt 4 DE_M_2015_1000 mt_4
DE M 2015 1000 mt 4_1 DE_M_2015_1000 mt_4_1
DE M 2015 1000 mt 4_2 DE_M_2015_1000 mt_4_2
DE M 2015 1000 m3 5 DE_M_2015_1000 m3_5
DE M 2015 1000 m3 5_C DE_M_2015_1000 m3_5_C
DE M 2015 1000 m3 5_NC DE_M_2015_1000 m3_5_NC
DE M 2015 1000 m3 5_NC_T DE_M_2015_1000 m3_5_NC_T
DE M 2015 1000 m3 6 DE_M_2015_1000 m3_6
DE M 2015 1000 m3 6_1 DE_M_2015_1000 m3_6_1
DE M 2015 1000 m3 6_1_C DE_M_2015_1000 m3_6_1_C
DE M 2015 1000 m3 6_1_NC DE_M_2015_1000 m3_6_1_NC
DE M 2015 1000 m3 6_1_NC_T DE_M_2015_1000 m3_6_1_NC_T
DE M 2015 1000 m3 6_2 DE_M_2015_1000 m3_6_2
DE M 2015 1000 m3 6_2_C DE_M_2015_1000 m3_6_2_C
DE M 2015 1000 m3 6_2_NC DE_M_2015_1000 m3_6_2_NC
DE M 2015 1000 m3 6_2_NC_T DE_M_2015_1000 m3_6_2_NC_T
DE M 2015 1000 m3 6_3 DE_M_2015_1000 m3_6_3
DE M 2015 1000 m3 6_3_1 DE_M_2015_1000 m3_6_3_1
DE M 2015 1000 m3 6_4 DE_M_2015_1000 m3_6_4
DE M 2015 1000 m3 6_4_1 DE_M_2015_1000 m3_6_4_1
DE M 2015 1000 m3 6_4_2 DE_M_2015_1000 m3_6_4_2
DE M 2015 1000 m3 6_4_3 DE_M_2015_1000 m3_6_4_3
DE M 2015 1000 mt 7 DE_M_2015_1000 mt_7
DE M 2015 1000 mt 7_1 DE_M_2015_1000 mt_7_1
DE M 2015 1000 mt 7_2 DE_M_2015_1000 mt_7_2
DE M 2015 1000 mt 7_3 DE_M_2015_1000 mt_7_3
DE M 2015 1000 mt 7_3_1 DE_M_2015_1000 mt_7_3_1
DE M 2015 1000 mt 7_3_2 DE_M_2015_1000 mt_7_3_2
DE M 2015 1000 mt 7_3_3 DE_M_2015_1000 mt_7_3_3
DE M 2015 1000 mt 7_3_4 DE_M_2015_1000 mt_7_3_4
DE M 2015 1000 mt 7_4 DE_M_2015_1000 mt_7_4
DE M 2015 1000 mt 8 DE_M_2015_1000 mt_8
DE M 2015 1000 mt 8_1 DE_M_2015_1000 mt_8_1
DE M 2015 1000 mt 8_2 DE_M_2015_1000 mt_8_2
DE M 2015 1000 mt 9 DE_M_2015_1000 mt_9
DE M 2015 1000 mt 10 DE_M_2015_1000 mt_10
DE M 2015 1000 mt 10_1 DE_M_2015_1000 mt_10_1
DE M 2015 1000 mt 10_1_1 DE_M_2015_1000 mt_10_1_1
DE M 2015 1000 mt 10_1_2 DE_M_2015_1000 mt_10_1_2
DE M 2015 1000 mt 10_1_3 DE_M_2015_1000 mt_10_1_3
DE M 2015 1000 mt 10_1_4 DE_M_2015_1000 mt_10_1_4
DE M 2015 1000 mt 10_2 DE_M_2015_1000 mt_10_2
DE M 2015 1000 mt 10_3 DE_M_2015_1000 mt_10_3
DE M 2015 1000 mt 10_3_1 DE_M_2015_1000 mt_10_3_1
DE M 2015 1000 mt 10_3_2 DE_M_2015_1000 mt_10_3_2
DE M 2015 1000 mt 10_3_3 DE_M_2015_1000 mt_10_3_3
DE M 2015 1000 mt 10_3_4 DE_M_2015_1000 mt_10_3_4
DE M 2015 1000 mt 10_4 DE_M_2015_1000 mt_10_4
DE M 2015 1000 NAC 1 DE_M_2015_1000 NAC_1
DE M 2015 1000 NAC 1_1 DE_M_2015_1000 NAC_1_1
DE M 2015 1000 NAC 1_2 DE_M_2015_1000 NAC_1_2
DE M 2015 1000 NAC 1_2_C DE_M_2015_1000 NAC_1_2_C
DE M 2015 1000 NAC 1_2_NC DE_M_2015_1000 NAC_1_2_NC
DE M 2015 1000 NAC 1_2_NC_T DE_M_2015_1000 NAC_1_2_NC_T
DE M 2015 1000 NAC 2 DE_M_2015_1000 NAC_2
DE M 2015 1000 NAC 3 DE_M_2015_1000 NAC_3
DE M 2015 1000 NAC 3_1 DE_M_2015_1000 NAC_3_1
DE M 2015 1000 NAC 3_2 DE_M_2015_1000 NAC_3_2
DE M 2015 1000 NAC 4 DE_M_2015_1000 NAC_4
DE M 2015 1000 NAC 4_1 DE_M_2015_1000 NAC_4_1
DE M 2015 1000 NAC 4_2 DE_M_2015_1000 NAC_4_2
DE M 2015 1000 NAC 5 DE_M_2015_1000 NAC_5
DE M 2015 1000 NAC 5_C DE_M_2015_1000 NAC_5_C
DE M 2015 1000 NAC 5_NC DE_M_2015_1000 NAC_5_NC
DE M 2015 1000 NAC 5_NC_T DE_M_2015_1000 NAC_5_NC_T
DE M 2015 1000 NAC 6 DE_M_2015_1000 NAC_6
DE M 2015 1000 NAC 6_1 DE_M_2015_1000 NAC_6_1
DE M 2015 1000 NAC 6_1_C DE_M_2015_1000 NAC_6_1_C
DE M 2015 1000 NAC 6_1_NC DE_M_2015_1000 NAC_6_1_NC
DE M 2015 1000 NAC 6_1_NC_T DE_M_2015_1000 NAC_6_1_NC_T
DE M 2015 1000 NAC 6_2 DE_M_2015_1000 NAC_6_2
DE M 2015 1000 NAC 6_2_C DE_M_2015_1000 NAC_6_2_C
DE M 2015 1000 NAC 6_2_NC DE_M_2015_1000 NAC_6_2_NC
DE M 2015 1000 NAC 6_2_NC_T DE_M_2015_1000 NAC_6_2_NC_T
DE M 2015 1000 NAC 6_3 DE_M_2015_1000 NAC_6_3
DE M 2015 1000 NAC 6_3_1 DE_M_2015_1000 NAC_6_3_1
DE M 2015 1000 NAC 6_4 DE_M_2015_1000 NAC_6_4
DE M 2015 1000 NAC 6_4_1 DE_M_2015_1000 NAC_6_4_1
DE M 2015 1000 NAC 6_4_2 DE_M_2015_1000 NAC_6_4_2
DE M 2015 1000 NAC 6_4_3 DE_M_2015_1000 NAC_6_4_3
DE M 2015 1000 NAC 7 DE_M_2015_1000 NAC_7
DE M 2015 1000 NAC 7_1 DE_M_2015_1000 NAC_7_1
DE M 2015 1000 NAC 7_2 DE_M_2015_1000 NAC_7_2
DE M 2015 1000 NAC 7_3 DE_M_2015_1000 NAC_7_3
DE M 2015 1000 NAC 7_3_1 DE_M_2015_1000 NAC_7_3_1
DE M 2015 1000 NAC 7_3_2 DE_M_2015_1000 NAC_7_3_2
DE M 2015 1000 NAC 7_3_3 DE_M_2015_1000 NAC_7_3_3
DE M 2015 1000 NAC 7_3_4 DE_M_2015_1000 NAC_7_3_4
DE M 2015 1000 NAC 7_4 DE_M_2015_1000 NAC_7_4
DE M 2015 1000 NAC 8 DE_M_2015_1000 NAC_8
DE M 2015 1000 NAC 8_1 DE_M_2015_1000 NAC_8_1
DE M 2015 1000 NAC 8_2 DE_M_2015_1000 NAC_8_2
DE M 2015 1000 NAC 9 DE_M_2015_1000 NAC_9
DE M 2015 1000 NAC 10 DE_M_2015_1000 NAC_10
DE M 2015 1000 NAC 10_1 DE_M_2015_1000 NAC_10_1
DE M 2015 1000 NAC 10_1_1 DE_M_2015_1000 NAC_10_1_1
DE M 2015 1000 NAC 10_1_2 DE_M_2015_1000 NAC_10_1_2
DE M 2015 1000 NAC 10_1_3 DE_M_2015_1000 NAC_10_1_3
DE M 2015 1000 NAC 10_1_4 DE_M_2015_1000 NAC_10_1_4
DE M 2015 1000 NAC 10_2 DE_M_2015_1000 NAC_10_2
DE M 2015 1000 NAC 10_3 DE_M_2015_1000 NAC_10_3
DE M 2015 1000 NAC 10_3_1 DE_M_2015_1000 NAC_10_3_1
DE M 2015 1000 NAC 10_3_2 DE_M_2015_1000 NAC_10_3_2
DE M 2015 1000 NAC 10_3_3 DE_M_2015_1000 NAC_10_3_3
DE M 2015 1000 NAC 10_3_4 DE_M_2015_1000 NAC_10_3_4
DE M 2015 1000 NAC 10_4 DE_M_2015_1000 NAC_10_4
DE X 2015 1000 m3 1 DE_X_2015_1000 m3_1
DE X 2015 1000 m3 1_1 DE_X_2015_1000 m3_1_1
DE X 2015 1000 m3 1_2 DE_X_2015_1000 m3_1_2
DE X 2015 1000 m3 1_2_C DE_X_2015_1000 m3_1_2_C
DE X 2015 1000 m3 1_2_NC DE_X_2015_1000 m3_1_2_NC
DE X 2015 1000 m3 1_2_NC_T DE_X_2015_1000 m3_1_2_NC_T
DE X 2015 1000 mt 2 DE_X_2015_1000 mt_2
DE X 2015 1000 m3 3 DE_X_2015_1000 m3_3
DE X 2015 1000 m3 3_1 DE_X_2015_1000 m3_3_1
DE X 2015 1000 m3 3_2 DE_X_2015_1000 m3_3_2
DE X 2015 1000 mt 4 DE_X_2015_1000 mt_4
DE X 2015 1000 mt 4_1 DE_X_2015_1000 mt_4_1
DE X 2015 1000 mt 4_2 DE_X_2015_1000 mt_4_2
DE X 2015 1000 m3 5 DE_X_2015_1000 m3_5
DE X 2015 1000 m3 5_C DE_X_2015_1000 m3_5_C
DE X 2015 1000 m3 5_NC DE_X_2015_1000 m3_5_NC
DE X 2015 1000 m3 5_NC_T DE_X_2015_1000 m3_5_NC_T
DE X 2015 1000 m3 6 DE_X_2015_1000 m3_6
DE X 2015 1000 m3 6_1 DE_X_2015_1000 m3_6_1
DE X 2015 1000 m3 6_1_C DE_X_2015_1000 m3_6_1_C
DE X 2015 1000 m3 6_1_NC DE_X_2015_1000 m3_6_1_NC
DE X 2015 1000 m3 6_1_NC_T DE_X_2015_1000 m3_6_1_NC_T
DE X 2015 1000 m3 6_2 DE_X_2015_1000 m3_6_2
DE X 2015 1000 m3 6_2_C DE_X_2015_1000 m3_6_2_C
DE X 2015 1000 m3 6_2_NC DE_X_2015_1000 m3_6_2_NC
DE X 2015 1000 m3 6_2_NC_T DE_X_2015_1000 m3_6_2_NC_T
DE X 2015 1000 m3 6_3 DE_X_2015_1000 m3_6_3
DE X 2015 1000 m3 6_3_1 DE_X_2015_1000 m3_6_3_1
DE X 2015 1000 m3 6_4 DE_X_2015_1000 m3_6_4
DE X 2015 1000 m3 6_4_1 DE_X_2015_1000 m3_6_4_1
DE X 2015 1000 m3 6_4_2 DE_X_2015_1000 m3_6_4_2
DE X 2015 1000 m3 6_4_3 DE_X_2015_1000 m3_6_4_3
DE X 2015 1000 mt 7 DE_X_2015_1000 mt_7
DE X 2015 1000 mt 7_1 DE_X_2015_1000 mt_7_1
DE X 2015 1000 mt 7_2 DE_X_2015_1000 mt_7_2
DE X 2015 1000 mt 7_3 DE_X_2015_1000 mt_7_3
DE X 2015 1000 mt 7_3_1 DE_X_2015_1000 mt_7_3_1
DE X 2015 1000 mt 7_3_2 DE_X_2015_1000 mt_7_3_2
DE X 2015 1000 mt 7_3_3 DE_X_2015_1000 mt_7_3_3
DE X 2015 1000 mt 7_3_4 DE_X_2015_1000 mt_7_3_4
DE X 2015 1000 mt 7_4 DE_X_2015_1000 mt_7_4
DE X 2015 1000 mt 8 DE_X_2015_1000 mt_8
DE X 2015 1000 mt 8_1 DE_X_2015_1000 mt_8_1
DE X 2015 1000 mt 8_2 DE_X_2015_1000 mt_8_2
DE X 2015 1000 mt 9 DE_X_2015_1000 mt_9
DE X 2015 1000 mt 10 DE_X_2015_1000 mt_10
DE X 2015 1000 mt 10_1 DE_X_2015_1000 mt_10_1
DE X 2015 1000 mt 10_1_1 DE_X_2015_1000 mt_10_1_1
DE X 2015 1000 mt 10_1_2 DE_X_2015_1000 mt_10_1_2
DE X 2015 1000 mt 10_1_3 DE_X_2015_1000 mt_10_1_3
DE X 2015 1000 mt 10_1_4 DE_X_2015_1000 mt_10_1_4
DE X 2015 1000 mt 10_2 DE_X_2015_1000 mt_10_2
DE X 2015 1000 mt 10_3 DE_X_2015_1000 mt_10_3
DE X 2015 1000 mt 10_3_1 DE_X_2015_1000 mt_10_3_1
DE X 2015 1000 mt 10_3_2 DE_X_2015_1000 mt_10_3_2
DE X 2015 1000 mt 10_3_3 DE_X_2015_1000 mt_10_3_3
DE X 2015 1000 mt 10_3_4 DE_X_2015_1000 mt_10_3_4
DE X 2015 1000 mt 10_4 DE_X_2015_1000 mt_10_4
DE X 2015 1000 NAC 1 DE_X_2015_1000 NAC_1
DE X 2015 1000 NAC 1_1 DE_X_2015_1000 NAC_1_1
DE X 2015 1000 NAC 1_2 DE_X_2015_1000 NAC_1_2
DE X 2015 1000 NAC 1_2_C DE_X_2015_1000 NAC_1_2_C
DE X 2015 1000 NAC 1_2_NC DE_X_2015_1000 NAC_1_2_NC
DE X 2015 1000 NAC 1_2_NC_T DE_X_2015_1000 NAC_1_2_NC_T
DE X 2015 1000 NAC 2 DE_X_2015_1000 NAC_2
DE X 2015 1000 NAC 3 DE_X_2015_1000 NAC_3
DE X 2015 1000 NAC 3_1 DE_X_2015_1000 NAC_3_1
DE X 2015 1000 NAC 3_2 DE_X_2015_1000 NAC_3_2
DE X 2015 1000 NAC 4 DE_X_2015_1000 NAC_4
DE X 2015 1000 NAC 4_1 DE_X_2015_1000 NAC_4_1
DE X 2015 1000 NAC 4_2 DE_X_2015_1000 NAC_4_2
DE X 2015 1000 NAC 5 DE_X_2015_1000 NAC_5
DE X 2015 1000 NAC 5_C DE_X_2015_1000 NAC_5_C
DE X 2015 1000 NAC 5_NC DE_X_2015_1000 NAC_5_NC
DE X 2015 1000 NAC 5_NC_T DE_X_2015_1000 NAC_5_NC_T
DE X 2015 1000 NAC 6 DE_X_2015_1000 NAC_6
DE X 2015 1000 NAC 6_1 DE_X_2015_1000 NAC_6_1
DE X 2015 1000 NAC 6_1_C DE_X_2015_1000 NAC_6_1_C
DE X 2015 1000 NAC 6_1_NC DE_X_2015_1000 NAC_6_1_NC
DE X 2015 1000 NAC 6_1_NC_T DE_X_2015_1000 NAC_6_1_NC_T
DE X 2015 1000 NAC 6_2 DE_X_2015_1000 NAC_6_2
DE X 2015 1000 NAC 6_2_C DE_X_2015_1000 NAC_6_2_C
DE X 2015 1000 NAC 6_2_NC DE_X_2015_1000 NAC_6_2_NC
DE X 2015 1000 NAC 6_2_NC_T DE_X_2015_1000 NAC_6_2_NC_T
DE X 2015 1000 NAC 6_3 DE_X_2015_1000 NAC_6_3
DE X 2015 1000 NAC 6_3_1 DE_X_2015_1000 NAC_6_3_1
DE X 2015 1000 NAC 6_4 DE_X_2015_1000 NAC_6_4
DE X 2015 1000 NAC 6_4_1 DE_X_2015_1000 NAC_6_4_1
DE X 2015 1000 NAC 6_4_2 DE_X_2015_1000 NAC_6_4_2
DE X 2015 1000 NAC 6_4_3 DE_X_2015_1000 NAC_6_4_3
DE X 2015 1000 NAC 7 DE_X_2015_1000 NAC_7
DE X 2015 1000 NAC 7_1 DE_X_2015_1000 NAC_7_1
DE X 2015 1000 NAC 7_2 DE_X_2015_1000 NAC_7_2
DE X 2015 1000 NAC 7_3 DE_X_2015_1000 NAC_7_3
DE X 2015 1000 NAC 7_3_1 DE_X_2015_1000 NAC_7_3_1
DE X 2015 1000 NAC 7_3_2 DE_X_2015_1000 NAC_7_3_2
DE X 2015 1000 NAC 7_3_3 DE_X_2015_1000 NAC_7_3_3
DE X 2015 1000 NAC 7_3_4 DE_X_2015_1000 NAC_7_3_4
DE X 2015 1000 NAC 7_4 DE_X_2015_1000 NAC_7_4
DE X 2015 1000 NAC 8 DE_X_2015_1000 NAC_8
DE X 2015 1000 NAC 8_1 DE_X_2015_1000 NAC_8_1
DE X 2015 1000 NAC 8_2 DE_X_2015_1000 NAC_8_2
DE X 2015 1000 NAC 9 DE_X_2015_1000 NAC_9
DE X 2015 1000 NAC 10 DE_X_2015_1000 NAC_10
DE X 2015 1000 NAC 10_1 DE_X_2015_1000 NAC_10_1
DE X 2015 1000 NAC 10_1_1 DE_X_2015_1000 NAC_10_1_1
DE X 2015 1000 NAC 10_1_2 DE_X_2015_1000 NAC_10_1_2
DE X 2015 1000 NAC 10_1_3 DE_X_2015_1000 NAC_10_1_3
DE X 2015 1000 NAC 10_1_4 DE_X_2015_1000 NAC_10_1_4
DE X 2015 1000 NAC 10_2 DE_X_2015_1000 NAC_10_2
DE X 2015 1000 NAC 10_3 DE_X_2015_1000 NAC_10_3
DE X 2015 1000 NAC 10_3_1 DE_X_2015_1000 NAC_10_3_1
DE X 2015 1000 NAC 10_3_2 DE_X_2015_1000 NAC_10_3_2
DE X 2015 1000 NAC 10_3_3 DE_X_2015_1000 NAC_10_3_3
DE X 2015 1000 NAC 10_3_4 DE_X_2015_1000 NAC_10_3_4
DE X 2015 1000 NAC 10_4 DE_X_2015_1000 NAC_10_4
DE M 2015 1000 NAC 11_1 DE_M_2015_1000 NAC_11_1
DE M 2015 1000 NAC 11_1_C DE_M_2015_1000 NAC_11_1_C
DE M 2015 1000 NAC 11_1_NC DE_M_2015_1000 NAC_11_1_NC
DE M 2015 1000 NAC 11_1_NC_T DE_M_2015_1000 NAC_11_1_NC_T
DE M 2015 1000 NAC 11_2 DE_M_2015_1000 NAC_11_2
DE M 2015 1000 NAC 11_3 DE_M_2015_1000 NAC_11_3
DE M 2015 1000 NAC 11_4 DE_M_2015_1000 NAC_11_4
DE M 2015 1000 NAC 11_5 DE_M_2015_1000 NAC_11_5
DE M 2015 1000 NAC 11_6 DE_M_2015_1000 NAC_11_6
DE M 2015 1000 NAC 11_7 DE_M_2015_1000 NAC_11_7
DE M 2015 1000 NAC 11_7_1 DE_M_2015_1000 NAC_11_7_1
DE M 2015 1000 NAC 12_1 DE_M_2015_1000 NAC_12_1
DE M 2015 1000 NAC 12_2 DE_M_2015_1000 NAC_12_2
DE M 2015 1000 NAC 12_3 DE_M_2015_1000 NAC_12_3
DE M 2015 1000 NAC 12_4 DE_M_2015_1000 NAC_12_4
DE M 2015 1000 NAC 12_5 DE_M_2015_1000 NAC_12_5
DE M 2015 1000 NAC 12_6 DE_M_2015_1000 NAC_12_6
DE M 2015 1000 NAC 12_6_1 DE_M_2015_1000 NAC_12_6_1
DE M 2015 1000 NAC 12_6_2 DE_M_2015_1000 NAC_12_6_2
DE M 2015 1000 NAC 12_6_3 DE_M_2015_1000 NAC_12_6_3
DE M 2015 1000 NAC 12_7 DE_M_2015_1000 NAC_12_7
DE M 2015 1000 NAC 12_7_1 DE_M_2015_1000 NAC_12_7_1
DE M 2015 1000 NAC 12_7_2 DE_M_2015_1000 NAC_12_7_2
DE M 2015 1000 NAC 12_7_3 DE_M_2015_1000 NAC_12_7_3
DE X 2015 1000 NAC 11_1 DE_X_2015_1000 NAC_11_1
DE X 2015 1000 NAC 11_1_C DE_X_2015_1000 NAC_11_1_C
DE X 2015 1000 NAC 11_1_NC DE_X_2015_1000 NAC_11_1_NC
DE X 2015 1000 NAC 11_1_NC_T DE_X_2015_1000 NAC_11_1_NC_T
DE X 2015 1000 NAC 11_2 DE_X_2015_1000 NAC_11_2
DE X 2015 1000 NAC 11_3 DE_X_2015_1000 NAC_11_3
DE X 2015 1000 NAC 11_4 DE_X_2015_1000 NAC_11_4
DE X 2015 1000 NAC 11_5 DE_X_2015_1000 NAC_11_5
DE X 2015 1000 NAC 11_6 DE_X_2015_1000 NAC_11_6
DE X 2015 1000 NAC 11_7 DE_X_2015_1000 NAC_11_7
DE X 2015 1000 NAC 11_7_1 DE_X_2015_1000 NAC_11_7_1
DE X 2015 1000 NAC 12_1 DE_X_2015_1000 NAC_12_1
DE X 2015 1000 NAC 12_2 DE_X_2015_1000 NAC_12_2
DE X 2015 1000 NAC 12_3 DE_X_2015_1000 NAC_12_3
DE X 2015 1000 NAC 12_4 DE_X_2015_1000 NAC_12_4
DE X 2015 1000 NAC 12_5 DE_X_2015_1000 NAC_12_5
DE X 2015 1000 NAC 12_6 DE_X_2015_1000 NAC_12_6
DE X 2015 1000 NAC 12_6_1 DE_X_2015_1000 NAC_12_6_1
DE X 2015 1000 NAC 12_6_2 DE_X_2015_1000 NAC_12_6_2
DE X 2015 1000 NAC 12_6_3 DE_X_2015_1000 NAC_12_6_3
DE X 2015 1000 NAC 12_7 DE_X_2015_1000 NAC_12_7
DE X 2015 1000 NAC 12_7_1 DE_X_2015_1000 NAC_12_7_1
DE X 2015 1000 NAC 12_7_2 DE_X_2015_1000 NAC_12_7_2
DE X 2015 1000 NAC 12_7_3 DE_X_2015_1000 NAC_12_7_3
DE M 2015 1000 m3 ST_1_2_C DE_M_2015_1000 m3_ST_1_2_C
DE M 2015 1000 m3 ST_1_2_C_1 DE_M_2015_1000 m3_ST_1_2_C_1
DE M 2015 1000 m3 ST_1_2_C_1_1 DE_M_2015_1000 m3_ST_1_2_C_1_1
DE M 2015 1000 m3 ST_1_2_C_2_1 DE_M_2015_1000 m3_ST_1_2_C_2_1
DE M 2015 1000 m3 ST_1_2_C_2 DE_M_2015_1000 m3_ST_1_2_C_2
DE M 2015 1000 m3 ST_1_2_C_1_2 DE_M_2015_1000 m3_ST_1_2_C_1_2
DE M 2015 1000 m3 ST_1_2_C_2_2 DE_M_2015_1000 m3_ST_1_2_C_2_2
DE M 2015 1000 m3 ST_1_2_C_3 DE_M_2015_1000 m3_ST_1_2_C_3
DE M 2015 1000 m3 ST_1_2_C_1_3 DE_M_2015_1000 m3_ST_1_2_C_1_3
DE M 2015 1000 m3 ST_1_2_C_2_3 DE_M_2015_1000 m3_ST_1_2_C_2_3
DE M 2015 1000 m3 ST_1_2_NC DE_M_2015_1000 m3_ST_1_2_NC
DE M 2015 1000 m3 ST_1_2_NC_1 DE_M_2015_1000 m3_ST_1_2_NC_1
DE M 2015 1000 m3 ST_1_2_NC_1_1 DE_M_2015_1000 m3_ST_1_2_NC_1_1
DE M 2015 1000 m3 ST_1_2_NC_2_1 DE_M_2015_1000 m3_ST_1_2_NC_2_1
DE M 2015 1000 m3 ST_1_2_NC_2 DE_M_2015_1000 m3_ST_1_2_NC_2
DE M 2015 1000 m3 ST_1_2_NC_1_2 DE_M_2015_1000 m3_ST_1_2_NC_1_2
DE M 2015 1000 m3 ST_1_2_NC_2_2 DE_M_2015_1000 m3_ST_1_2_NC_2_2
DE M 2015 1000 m3 ST_1_2_NC_3 DE_M_2015_1000 m3_ST_1_2_NC_3
DE M 2015 1000 m3 ST_1_2_NC_1_3 DE_M_2015_1000 m3_ST_1_2_NC_1_3
DE M 2015 1000 m3 ST_1_2_NC_2_3 DE_M_2015_1000 m3_ST_1_2_NC_2_3
DE M 2015 1000 m3 ST_1_2_NC_4 DE_M_2015_1000 m3_ST_1_2_NC_4
DE M 2015 1000 m3 ST_1_2_NC_5 DE_M_2015_1000 m3_ST_1_2_NC_5
DE M 2015 1000 m3 ST_5_C DE_M_2015_1000 m3_ST_5_C
DE M 2015 1000 m3 ST_5_C_1 DE_M_2015_1000 m3_ST_5_C_1
DE M 2015 1000 m3 ST_5_C_2 DE_M_2015_1000 m3_ST_5_C_2
DE M 2015 1000 m3 ST_5_NC DE_M_2015_1000 m3_ST_5_NC
DE M 2015 1000 m3 ST_5_NC_1 DE_M_2015_1000 m3_ST_5_NC_1
DE M 2015 1000 m3 ST_5_NC_2 DE_M_2015_1000 m3_ST_5_NC_2
DE M 2015 1000 m3 ST_5_NC_3 DE_M_2015_1000 m3_ST_5_NC_3
DE M 2015 1000 m3 ST_5_NC_4 DE_M_2015_1000 m3_ST_5_NC_4
DE M 2015 1000 m3 ST_5_NC_5 DE_M_2015_1000 m3_ST_5_NC_5
DE M 2015 1000 m3 ST_5_NC_6 DE_M_2015_1000 m3_ST_5_NC_6
DE M 2015 1000 m3 ST_5_NC_7 DE_M_2015_1000 m3_ST_5_NC_7
DE M 2015 1000 NAC ST_1_2_C DE_M_2015_1000 NAC_ST_1_2_C
DE M 2015 1000 NAC ST_1_2_C_1 DE_M_2015_1000 NAC_ST_1_2_C_1
DE M 2015 1000 NAC ST_1_2_C_1_1 DE_M_2015_1000 NAC_ST_1_2_C_1_1
DE M 2015 1000 NAC ST_1_2_C_2_1 DE_M_2015_1000 NAC_ST_1_2_C_2_1
DE M 2015 1000 NAC ST_1_2_C_2 DE_M_2015_1000 NAC_ST_1_2_C_2
DE M 2015 1000 NAC ST_1_2_C_1_2 DE_M_2015_1000 NAC_ST_1_2_C_1_2
DE M 2015 1000 NAC ST_1_2_C_2_2 DE_M_2015_1000 NAC_ST_1_2_C_2_2
DE M 2015 1000 NAC ST_1_2_C_3 DE_M_2015_1000 NAC_ST_1_2_C_3
DE M 2015 1000 NAC ST_1_2_C_1_3 DE_M_2015_1000 NAC_ST_1_2_C_1_3
DE M 2015 1000 NAC ST_1_2_C_2_3 DE_M_2015_1000 NAC_ST_1_2_C_2_3
DE M 2015 1000 NAC ST_1_2_NC DE_M_2015_1000 NAC_ST_1_2_NC
DE M 2015 1000 NAC ST_1_2_NC_1 DE_M_2015_1000 NAC_ST_1_2_NC_1
DE M 2015 1000 NAC ST_1_2_NC_1_1 DE_M_2015_1000 NAC_ST_1_2_NC_1_1
DE M 2015 1000 NAC ST_1_2_NC_2_1 DE_M_2015_1000 NAC_ST_1_2_NC_2_1
DE M 2015 1000 NAC ST_1_2_NC_2 DE_M_2015_1000 NAC_ST_1_2_NC_2
DE M 2015 1000 NAC ST_1_2_NC_1_2 DE_M_2015_1000 NAC_ST_1_2_NC_1_2
DE M 2015 1000 NAC ST_1_2_NC_2_2 DE_M_2015_1000 NAC_ST_1_2_NC_2_2
DE M 2015 1000 NAC ST_1_2_NC_3 DE_M_2015_1000 NAC_ST_1_2_NC_3
DE M 2015 1000 NAC ST_1_2_NC_1_3 DE_M_2015_1000 NAC_ST_1_2_NC_1_3
DE M 2015 1000 NAC ST_1_2_NC_2_3 DE_M_2015_1000 NAC_ST_1_2_NC_2_3
DE M 2015 1000 NAC ST_1_2_NC_4 DE_M_2015_1000 NAC_ST_1_2_NC_4
DE M 2015 1000 NAC ST_1_2_NC_5 DE_M_2015_1000 NAC_ST_1_2_NC_5
DE M 2015 1000 NAC ST_5_C DE_M_2015_1000 NAC_ST_5_C
DE M 2015 1000 NAC ST_5_C_1 DE_M_2015_1000 NAC_ST_5_C_1
DE M 2015 1000 NAC ST_5_C_2 DE_M_2015_1000 NAC_ST_5_C_2
DE M 2015 1000 NAC ST_5_NC DE_M_2015_1000 NAC_ST_5_NC
DE M 2015 1000 NAC ST_5_NC_1 DE_M_2015_1000 NAC_ST_5_NC_1
DE M 2015 1000 NAC ST_5_NC_2 DE_M_2015_1000 NAC_ST_5_NC_2
DE M 2015 1000 NAC ST_5_NC_3 DE_M_2015_1000 NAC_ST_5_NC_3
DE M 2015 1000 NAC ST_5_NC_4 DE_M_2015_1000 NAC_ST_5_NC_4
DE M 2015 1000 NAC ST_5_NC_5 DE_M_2015_1000 NAC_ST_5_NC_5
DE M 2015 1000 NAC ST_5_NC_6 DE_M_2015_1000 NAC_ST_5_NC_6
DE M 2015 1000 NAC ST_5_NC_7 DE_M_2015_1000 NAC_ST_5_NC_7
DE X 2015 1000 m3 ST_1_2_C DE_X_2015_1000 m3_ST_1_2_C
DE X 2015 1000 m3 ST_1_2_C_1 DE_X_2015_1000 m3_ST_1_2_C_1
DE X 2015 1000 m3 ST_1_2_C_1_1 DE_X_2015_1000 m3_ST_1_2_C_1_1
DE X 2015 1000 m3 ST_1_2_C_2_1 DE_X_2015_1000 m3_ST_1_2_C_2_1
DE X 2015 1000 m3 ST_1_2_C_2 DE_X_2015_1000 m3_ST_1_2_C_2
DE X 2015 1000 m3 ST_1_2_C_1_2 DE_X_2015_1000 m3_ST_1_2_C_1_2
DE X 2015 1000 m3 ST_1_2_C_2_2 DE_X_2015_1000 m3_ST_1_2_C_2_2
DE X 2015 1000 m3 ST_1_2_C_3 DE_X_2015_1000 m3_ST_1_2_C_3
DE X 2015 1000 m3 ST_1_2_C_1_3 DE_X_2015_1000 m3_ST_1_2_C_1_3
DE X 2015 1000 m3 ST_1_2_C_2_3 DE_X_2015_1000 m3_ST_1_2_C_2_3
DE X 2015 1000 m3 ST_1_2_NC DE_X_2015_1000 m3_ST_1_2_NC
DE X 2015 1000 m3 ST_1_2_NC_1 DE_X_2015_1000 m3_ST_1_2_NC_1
DE X 2015 1000 m3 ST_1_2_NC_1_1 DE_X_2015_1000 m3_ST_1_2_NC_1_1
DE X 2015 1000 m3 ST_1_2_NC_2_1 DE_X_2015_1000 m3_ST_1_2_NC_2_1
DE X 2015 1000 m3 ST_1_2_NC_2 DE_X_2015_1000 m3_ST_1_2_NC_2
DE X 2015 1000 m3 ST_1_2_NC_1_2 DE_X_2015_1000 m3_ST_1_2_NC_1_2
DE X 2015 1000 m3 ST_1_2_NC_2_2 DE_X_2015_1000 m3_ST_1_2_NC_2_2
DE X 2015 1000 m3 ST_1_2_NC_3 DE_X_2015_1000 m3_ST_1_2_NC_3
DE X 2015 1000 m3 ST_1_2_NC_1_3 DE_X_2015_1000 m3_ST_1_2_NC_1_3
DE X 2015 1000 m3 ST_1_2_NC_2_3 DE_X_2015_1000 m3_ST_1_2_NC_2_3
DE X 2015 1000 m3 ST_1_2_NC_4 DE_X_2015_1000 m3_ST_1_2_NC_4
DE X 2015 1000 m3 ST_1_2_NC_5 DE_X_2015_1000 m3_ST_1_2_NC_5
DE X 2015 1000 m3 ST_5_C DE_X_2015_1000 m3_ST_5_C
DE X 2015 1000 m3 ST_5_C_1 DE_X_2015_1000 m3_ST_5_C_1
DE X 2015 1000 m3 ST_5_C_2 DE_X_2015_1000 m3_ST_5_C_2
DE X 2015 1000 m3 ST_5_NC DE_X_2015_1000 m3_ST_5_NC
DE X 2015 1000 m3 ST_5_NC_1 DE_X_2015_1000 m3_ST_5_NC_1
DE X 2015 1000 m3 ST_5_NC_2 DE_X_2015_1000 m3_ST_5_NC_2
DE X 2015 1000 m3 ST_5_NC_3 DE_X_2015_1000 m3_ST_5_NC_3
DE X 2015 1000 m3 ST_5_NC_4 DE_X_2015_1000 m3_ST_5_NC_4
DE X 2015 1000 m3 ST_5_NC_5 DE_X_2015_1000 m3_ST_5_NC_5
DE X 2015 1000 m3 ST_5_NC_6 DE_X_2015_1000 m3_ST_5_NC_6
DE X 2015 1000 m3 ST_5_NC_7 DE_X_2015_1000 m3_ST_5_NC_7
DE X 2015 1000 NAC ST_1_2_C DE_X_2015_1000 NAC_ST_1_2_C
DE X 2015 1000 NAC ST_1_2_C_1 DE_X_2015_1000 NAC_ST_1_2_C_1
DE X 2015 1000 NAC ST_1_2_C_1_1 DE_X_2015_1000 NAC_ST_1_2_C_1_1
DE X 2015 1000 NAC ST_1_2_C_2_1 DE_X_2015_1000 NAC_ST_1_2_C_2_1
DE X 2015 1000 NAC ST_1_2_C_2 DE_X_2015_1000 NAC_ST_1_2_C_2
DE X 2015 1000 NAC ST_1_2_C_1_2 DE_X_2015_1000 NAC_ST_1_2_C_1_2
DE X 2015 1000 NAC ST_1_2_C_2_2 DE_X_2015_1000 NAC_ST_1_2_C_2_2
DE X 2015 1000 NAC ST_1_2_C_3 DE_X_2015_1000 NAC_ST_1_2_C_3
DE X 2015 1000 NAC ST_1_2_C_1_3 DE_X_2015_1000 NAC_ST_1_2_C_1_3
DE X 2015 1000 NAC ST_1_2_C_2_3 DE_X_2015_1000 NAC_ST_1_2_C_2_3
DE X 2015 1000 NAC ST_1_2_NC DE_X_2015_1000 NAC_ST_1_2_NC
DE X 2015 1000 NAC ST_1_2_NC_1 DE_X_2015_1000 NAC_ST_1_2_NC_1
DE X 2015 1000 NAC ST_1_2_NC_1_1 DE_X_2015_1000 NAC_ST_1_2_NC_1_1
DE X 2015 1000 NAC ST_1_2_NC_2_1 DE_X_2015_1000 NAC_ST_1_2_NC_2_1
DE X 2015 1000 NAC ST_1_2_NC_2 DE_X_2015_1000 NAC_ST_1_2_NC_2
DE X 2015 1000 NAC ST_1_2_NC_1_2 DE_X_2015_1000 NAC_ST_1_2_NC_1_2
DE X 2015 1000 NAC ST_1_2_NC_2_2 DE_X_2015_1000 NAC_ST_1_2_NC_2_2
DE X 2015 1000 NAC ST_1_2_NC_3 DE_X_2015_1000 NAC_ST_1_2_NC_3
DE X 2015 1000 NAC ST_1_2_NC_1_3 DE_X_2015_1000 NAC_ST_1_2_NC_1_3
DE X 2015 1000 NAC ST_1_2_NC_2_3 DE_X_2015_1000 NAC_ST_1_2_NC_2_3
DE X 2015 1000 NAC ST_1_2_NC_4 DE_X_2015_1000 NAC_ST_1_2_NC_4
DE X 2015 1000 NAC ST_1_2_NC_5 DE_X_2015_1000 NAC_ST_1_2_NC_5
DE X 2015 1000 NAC ST_5_C DE_X_2015_1000 NAC_ST_5_C
DE X 2015 1000 NAC ST_5_C_1 DE_X_2015_1000 NAC_ST_5_C_1
DE X 2015 1000 NAC ST_5_C_2 DE_X_2015_1000 NAC_ST_5_C_2
DE X 2015 1000 NAC ST_5_NC DE_X_2015_1000 NAC_ST_5_NC
DE X 2015 1000 NAC ST_5_NC_1 DE_X_2015_1000 NAC_ST_5_NC_1
DE X 2015 1000 NAC ST_5_NC_2 DE_X_2015_1000 NAC_ST_5_NC_2
DE X 2015 1000 NAC ST_5_NC_3 DE_X_2015_1000 NAC_ST_5_NC_3
DE X 2015 1000 NAC ST_5_NC_4 DE_X_2015_1000 NAC_ST_5_NC_4
DE X 2015 1000 NAC ST_5_NC_5 DE_X_2015_1000 NAC_ST_5_NC_5
DE X 2015 1000 NAC ST_5_NC_6 DE_X_2015_1000 NAC_ST_5_NC_6
DE X 2015 1000 NAC ST_5_NC_7 DE_X_2015_1000 NAC_ST_5_NC_7
DE EX_M 2015 1000 m3 1 DE_EX_M_2015_1000 m3_1
DE EX_M 2015 1000 m3 1_1 DE_EX_M_2015_1000 m3_1_1
DE EX_M 2015 1000 m3 1_2 DE_EX_M_2015_1000 m3_1_2
DE EX_M 2015 1000 m3 1_2_C DE_EX_M_2015_1000 m3_1_2_C
DE EX_M 2015 1000 m3 1_2_NC DE_EX_M_2015_1000 m3_1_2_NC
DE EX_M 2015 1000 m3 1_2_NC_T DE_EX_M_2015_1000 m3_1_2_NC_T
DE EX_M 2015 1000 mt 2 DE_EX_M_2015_1000 mt_2
DE EX_M 2015 1000 m3 3 DE_EX_M_2015_1000 m3_3
DE EX_M 2015 1000 m3 3_1 DE_EX_M_2015_1000 m3_3_1
DE EX_M 2015 1000 m3 3_2 DE_EX_M_2015_1000 m3_3_2
DE EX_M 2015 1000 mt 4 DE_EX_M_2015_1000 mt_4
DE EX_M 2015 1000 mt 4_1 DE_EX_M_2015_1000 mt_4_1
DE EX_M 2015 1000 mt 4_2 DE_EX_M_2015_1000 mt_4_2
DE EX_M 2015 1000 m3 5 DE_EX_M_2015_1000 m3_5
DE EX_M 2015 1000 m3 5_C DE_EX_M_2015_1000 m3_5_C
DE EX_M 2015 1000 m3 5_NC DE_EX_M_2015_1000 m3_5_NC
DE EX_M 2015 1000 m3 5_NC_T DE_EX_M_2015_1000 m3_5_NC_T
DE EX_M 2015 1000 m3 6 DE_EX_M_2015_1000 m3_6
DE EX_M 2015 1000 m3 6_1 DE_EX_M_2015_1000 m3_6_1
DE EX_M 2015 1000 m3 6_1_C DE_EX_M_2015_1000 m3_6_1_C
DE EX_M 2015 1000 m3 6_1_NC DE_EX_M_2015_1000 m3_6_1_NC
DE EX_M 2015 1000 m3 6_1_NC_T DE_EX_M_2015_1000 m3_6_1_NC_T
DE EX_M 2015 1000 m3 6_2 DE_EX_M_2015_1000 m3_6_2
DE EX_M 2015 1000 m3 6_2_C DE_EX_M_2015_1000 m3_6_2_C
DE EX_M 2015 1000 m3 6_2_NC DE_EX_M_2015_1000 m3_6_2_NC
DE EX_M 2015 1000 m3 6_2_NC_T DE_EX_M_2015_1000 m3_6_2_NC_T
DE EX_M 2015 1000 m3 6_3 DE_EX_M_2015_1000 m3_6_3
DE EX_M 2015 1000 m3 6_3_1 DE_EX_M_2015_1000 m3_6_3_1
DE EX_M 2015 1000 m3 6_4 DE_EX_M_2015_1000 m3_6_4
DE EX_M 2015 1000 m3 6_4_1 DE_EX_M_2015_1000 m3_6_4_1
DE EX_M 2015 1000 m3 6_4_2 DE_EX_M_2015_1000 m3_6_4_2
DE EX_M 2015 1000 m3 6_4_3 DE_EX_M_2015_1000 m3_6_4_3
DE EX_M 2015 1000 mt 7 DE_EX_M_2015_1000 mt_7
DE EX_M 2015 1000 mt 7_1 DE_EX_M_2015_1000 mt_7_1
DE EX_M 2015 1000 mt 7_2 DE_EX_M_2015_1000 mt_7_2
DE EX_M 2015 1000 mt 7_3 DE_EX_M_2015_1000 mt_7_3
DE EX_M 2015 1000 mt 7_3_1 DE_EX_M_2015_1000 mt_7_3_1
DE EX_M 2015 1000 mt 7_3_2 DE_EX_M_2015_1000 mt_7_3_2
DE EX_M 2015 1000 mt 7_3_3 DE_EX_M_2015_1000 mt_7_3_3
DE EX_M 2015 1000 mt 7_3_4 DE_EX_M_2015_1000 mt_7_3_4
DE EX_M 2015 1000 mt 7_4 DE_EX_M_2015_1000 mt_7_4
DE EX_M 2015 1000 mt 8 DE_EX_M_2015_1000 mt_8
DE EX_M 2015 1000 mt 8_1 DE_EX_M_2015_1000 mt_8_1
DE EX_M 2015 1000 mt 8_2 DE_EX_M_2015_1000 mt_8_2
DE EX_M 2015 1000 mt 9 DE_EX_M_2015_1000 mt_9
DE EX_M 2015 1000 mt 10 DE_EX_M_2015_1000 mt_10
DE EX_M 2015 1000 mt 10_1 DE_EX_M_2015_1000 mt_10_1
DE EX_M 2015 1000 mt 10_1_1 DE_EX_M_2015_1000 mt_10_1_1
DE EX_M 2015 1000 mt 10_1_2 DE_EX_M_2015_1000 mt_10_1_2
DE EX_M 2015 1000 mt 10_1_3 DE_EX_M_2015_1000 mt_10_1_3
DE EX_M 2015 1000 mt 10_1_4 DE_EX_M_2015_1000 mt_10_1_4
DE EX_M 2015 1000 mt 10_2 DE_EX_M_2015_1000 mt_10_2
DE EX_M 2015 1000 mt 10_3 DE_EX_M_2015_1000 mt_10_3
DE EX_M 2015 1000 mt 10_3_1 DE_EX_M_2015_1000 mt_10_3_1
DE EX_M 2015 1000 mt 10_3_2 DE_EX_M_2015_1000 mt_10_3_2
DE EX_M 2015 1000 mt 10_3_3 DE_EX_M_2015_1000 mt_10_3_3
DE EX_M 2015 1000 mt 10_3_4 DE_EX_M_2015_1000 mt_10_3_4
DE EX_M 2015 1000 mt 10_4 DE_EX_M_2015_1000 mt_10_4
DE EX_M 2015 1000 NAC 1 DE_EX_M_2015_1000 NAC_1
DE EX_M 2015 1000 NAC 1_1 DE_EX_M_2015_1000 NAC_1_1
DE EX_M 2015 1000 NAC 1_2 DE_EX_M_2015_1000 NAC_1_2
DE EX_M 2015 1000 NAC 1_2_C DE_EX_M_2015_1000 NAC_1_2_C
DE EX_M 2015 1000 NAC 1_2_NC DE_EX_M_2015_1000 NAC_1_2_NC
DE EX_M 2015 1000 NAC 1_2_NC_T DE_EX_M_2015_1000 NAC_1_2_NC_T
DE EX_M 2015 1000 NAC 2 DE_EX_M_2015_1000 NAC_2
DE EX_M 2015 1000 NAC 3 DE_EX_M_2015_1000 NAC_3
DE EX_M 2015 1000 NAC 3_1 DE_EX_M_2015_1000 NAC_3_1
DE EX_M 2015 1000 NAC 3_2 DE_EX_M_2015_1000 NAC_3_2
DE EX_M 2015 1000 NAC 4 DE_EX_M_2015_1000 NAC_4
DE EX_M 2015 1000 NAC 4_1 DE_EX_M_2015_1000 NAC_4_1
DE EX_M 2015 1000 NAC 4_2 DE_EX_M_2015_1000 NAC_4_2
DE EX_M 2015 1000 NAC 5 DE_EX_M_2015_1000 NAC_5
DE EX_M 2015 1000 NAC 5_C DE_EX_M_2015_1000 NAC_5_C
DE EX_M 2015 1000 NAC 5_NC DE_EX_M_2015_1000 NAC_5_NC
DE EX_M 2015 1000 NAC 5_NC_T DE_EX_M_2015_1000 NAC_5_NC_T
DE EX_M 2015 1000 NAC 6 DE_EX_M_2015_1000 NAC_6
DE EX_M 2015 1000 NAC 6_1 DE_EX_M_2015_1000 NAC_6_1
DE EX_M 2015 1000 NAC 6_1_C DE_EX_M_2015_1000 NAC_6_1_C
DE EX_M 2015 1000 NAC 6_1_NC DE_EX_M_2015_1000 NAC_6_1_NC
DE EX_M 2015 1000 NAC 6_1_NC_T DE_EX_M_2015_1000 NAC_6_1_NC_T
DE EX_M 2015 1000 NAC 6_2 DE_EX_M_2015_1000 NAC_6_2
DE EX_M 2015 1000 NAC 6_2_C DE_EX_M_2015_1000 NAC_6_2_C
DE EX_M 2015 1000 NAC 6_2_NC DE_EX_M_2015_1000 NAC_6_2_NC
DE EX_M 2015 1000 NAC 6_2_NC_T DE_EX_M_2015_1000 NAC_6_2_NC_T
DE EX_M 2015 1000 NAC 6_3 DE_EX_M_2015_1000 NAC_6_3
DE EX_M 2015 1000 NAC 6_3_1 DE_EX_M_2015_1000 NAC_6_3_1
DE EX_M 2015 1000 NAC 6_4 DE_EX_M_2015_1000 NAC_6_4
DE EX_M 2015 1000 NAC 6_4_1 DE_EX_M_2015_1000 NAC_6_4_1
DE EX_M 2015 1000 NAC 6_4_2 DE_EX_M_2015_1000 NAC_6_4_2
DE EX_M 2015 1000 NAC 6_4_3 DE_EX_M_2015_1000 NAC_6_4_3
DE EX_M 2015 1000 NAC 7 DE_EX_M_2015_1000 NAC_7
DE EX_M 2015 1000 NAC 7_1 DE_EX_M_2015_1000 NAC_7_1
DE EX_M 2015 1000 NAC 7_2 DE_EX_M_2015_1000 NAC_7_2
DE EX_M 2015 1000 NAC 7_3 DE_EX_M_2015_1000 NAC_7_3
DE EX_M 2015 1000 NAC 7_3_1 DE_EX_M_2015_1000 NAC_7_3_1
DE EX_M 2015 1000 NAC 7_3_2 DE_EX_M_2015_1000 NAC_7_3_2
DE EX_M 2015 1000 NAC 7_3_3 DE_EX_M_2015_1000 NAC_7_3_3
DE EX_M 2015 1000 NAC 7_3_4 DE_EX_M_2015_1000 NAC_7_3_4
DE EX_M 2015 1000 NAC 7_4 DE_EX_M_2015_1000 NAC_7_4
DE EX_M 2015 1000 NAC 8 DE_EX_M_2015_1000 NAC_8
DE EX_M 2015 1000 NAC 8_1 DE_EX_M_2015_1000 NAC_8_1
DE EX_M 2015 1000 NAC 8_2 DE_EX_M_2015_1000 NAC_8_2
DE EX_M 2015 1000 NAC 9 DE_EX_M_2015_1000 NAC_9
DE EX_M 2015 1000 NAC 10 DE_EX_M_2015_1000 NAC_10
DE EX_M 2015 1000 NAC 10_1 DE_EX_M_2015_1000 NAC_10_1
DE EX_M 2015 1000 NAC 10_1_1 DE_EX_M_2015_1000 NAC_10_1_1
DE EX_M 2015 1000 NAC 10_1_2 DE_EX_M_2015_1000 NAC_10_1_2
DE EX_M 2015 1000 NAC 10_1_3 DE_EX_M_2015_1000 NAC_10_1_3
DE EX_M 2015 1000 NAC 10_1_4 DE_EX_M_2015_1000 NAC_10_1_4
DE EX_M 2015 1000 NAC 10_2 DE_EX_M_2015_1000 NAC_10_2
DE EX_M 2015 1000 NAC 10_3 DE_EX_M_2015_1000 NAC_10_3
DE EX_M 2015 1000 NAC 10_3_1 DE_EX_M_2015_1000 NAC_10_3_1
DE EX_M 2015 1000 NAC 10_3_2 DE_EX_M_2015_1000 NAC_10_3_2
DE EX_M 2015 1000 NAC 10_3_3 DE_EX_M_2015_1000 NAC_10_3_3
DE EX_M 2015 1000 NAC 10_3_4 DE_EX_M_2015_1000 NAC_10_3_4
DE EX_M 2015 1000 NAC 10_4 DE_EX_M_2015_1000 NAC_10_4
DE EX_X 2015 1000 m3 1 DE_EX_X_2015_1000 m3_1
DE EX_X 2015 1000 m3 1_1 DE_EX_X_2015_1000 m3_1_1
DE EX_X 2015 1000 m3 1_2 DE_EX_X_2015_1000 m3_1_2
DE EX_X 2015 1000 m3 1_2_C DE_EX_X_2015_1000 m3_1_2_C
DE EX_X 2015 1000 m3 1_2_NC DE_EX_X_2015_1000 m3_1_2_NC
DE EX_X 2015 1000 m3 1_2_NC_T DE_EX_X_2015_1000 m3_1_2_NC_T
DE EX_X 2015 1000 mt 2 DE_EX_X_2015_1000 mt_2
DE EX_X 2015 1000 m3 3 DE_EX_X_2015_1000 m3_3
DE EX_X 2015 1000 m3 3_1 DE_EX_X_2015_1000 m3_3_1
DE EX_X 2015 1000 m3 3_2 DE_EX_X_2015_1000 m3_3_2
DE EX_X 2015 1000 mt 4 DE_EX_X_2015_1000 mt_4
DE EX_X 2015 1000 mt 4_1 DE_EX_X_2015_1000 mt_4_1
DE EX_X 2015 1000 mt 4_2 DE_EX_X_2015_1000 mt_4_2
DE EX_X 2015 1000 m3 5 DE_EX_X_2015_1000 m3_5
DE EX_X 2015 1000 m3 5_C DE_EX_X_2015_1000 m3_5_C
DE EX_X 2015 1000 m3 5_NC DE_EX_X_2015_1000 m3_5_NC
DE EX_X 2015 1000 m3 5_NC_T DE_EX_X_2015_1000 m3_5_NC_T
DE EX_X 2015 1000 m3 6 DE_EX_X_2015_1000 m3_6
DE EX_X 2015 1000 m3 6_1 DE_EX_X_2015_1000 m3_6_1
DE EX_X 2015 1000 m3 6_1_C DE_EX_X_2015_1000 m3_6_1_C
DE EX_X 2015 1000 m3 6_1_NC DE_EX_X_2015_1000 m3_6_1_NC
DE EX_X 2015 1000 m3 6_1_NC_T DE_EX_X_2015_1000 m3_6_1_NC_T
DE EX_X 2015 1000 m3 6_2 DE_EX_X_2015_1000 m3_6_2
DE EX_X 2015 1000 m3 6_2_C DE_EX_X_2015_1000 m3_6_2_C
DE EX_X 2015 1000 m3 6_2_NC DE_EX_X_2015_1000 m3_6_2_NC
DE EX_X 2015 1000 m3 6_2_NC_T DE_EX_X_2015_1000 m3_6_2_NC_T
DE EX_X 2015 1000 m3 6_3 DE_EX_X_2015_1000 m3_6_3
DE EX_X 2015 1000 m3 6_3_1 DE_EX_X_2015_1000 m3_6_3_1
DE EX_X 2015 1000 m3 6_4 DE_EX_X_2015_1000 m3_6_4
DE EX_X 2015 1000 m3 6_4_1 DE_EX_X_2015_1000 m3_6_4_1
DE EX_X 2015 1000 m3 6_4_2 DE_EX_X_2015_1000 m3_6_4_2
DE EX_X 2015 1000 m3 6_4_3 DE_EX_X_2015_1000 m3_6_4_3
DE EX_X 2015 1000 mt 7 DE_EX_X_2015_1000 mt_7
DE EX_X 2015 1000 mt 7_1 DE_EX_X_2015_1000 mt_7_1
DE EX_X 2015 1000 mt 7_2 DE_EX_X_2015_1000 mt_7_2
DE EX_X 2015 1000 mt 7_3 DE_EX_X_2015_1000 mt_7_3
DE EX_X 2015 1000 mt 7_3_1 DE_EX_X_2015_1000 mt_7_3_1
DE EX_X 2015 1000 mt 7_3_2 DE_EX_X_2015_1000 mt_7_3_2
DE EX_X 2015 1000 mt 7_3_3 DE_EX_X_2015_1000 mt_7_3_3
DE EX_X 2015 1000 mt 7_3_4 DE_EX_X_2015_1000 mt_7_3_4
DE EX_X 2015 1000 mt 7_4 DE_EX_X_2015_1000 mt_7_4
DE EX_X 2015 1000 mt 8 DE_EX_X_2015_1000 mt_8
DE EX_X 2015 1000 mt 8_1 DE_EX_X_2015_1000 mt_8_1
DE EX_X 2015 1000 mt 8_2 DE_EX_X_2015_1000 mt_8_2
DE EX_X 2015 1000 mt 9 DE_EX_X_2015_1000 mt_9
DE EX_X 2015 1000 mt 10 DE_EX_X_2015_1000 mt_10
DE EX_X 2015 1000 mt 10_1 DE_EX_X_2015_1000 mt_10_1
DE EX_X 2015 1000 mt 10_1_1 DE_EX_X_2015_1000 mt_10_1_1
DE EX_X 2015 1000 mt 10_1_2 DE_EX_X_2015_1000 mt_10_1_2
DE EX_X 2015 1000 mt 10_1_3 DE_EX_X_2015_1000 mt_10_1_3
DE EX_X 2015 1000 mt 10_1_4 DE_EX_X_2015_1000 mt_10_1_4
DE EX_X 2015 1000 mt 10_2 DE_EX_X_2015_1000 mt_10_2
DE EX_X 2015 1000 mt 10_3 DE_EX_X_2015_1000 mt_10_3
DE EX_X 2015 1000 mt 10_3_1 DE_EX_X_2015_1000 mt_10_3_1
DE EX_X 2015 1000 mt 10_3_2 DE_EX_X_2015_1000 mt_10_3_2
DE EX_X 2015 1000 mt 10_3_3 DE_EX_X_2015_1000 mt_10_3_3
DE EX_X 2015 1000 mt 10_3_4 DE_EX_X_2015_1000 mt_10_3_4
DE EX_X 2015 1000 mt 10_4 DE_EX_X_2015_1000 mt_10_4
DE EX_X 2015 1000 NAC 1 DE_EX_X_2015_1000 NAC_1
DE EX_X 2015 1000 NAC 1_1 DE_EX_X_2015_1000 NAC_1_1
DE EX_X 2015 1000 NAC 1_2 DE_EX_X_2015_1000 NAC_1_2
DE EX_X 2015 1000 NAC 1_2_C DE_EX_X_2015_1000 NAC_1_2_C
DE EX_X 2015 1000 NAC 1_2_NC DE_EX_X_2015_1000 NAC_1_2_NC
DE EX_X 2015 1000 NAC 1_2_NC_T DE_EX_X_2015_1000 NAC_1_2_NC_T
DE EX_X 2015 1000 NAC 2 DE_EX_X_2015_1000 NAC_2
DE EX_X 2015 1000 NAC 3 DE_EX_X_2015_1000 NAC_3
DE EX_X 2015 1000 NAC 3_1 DE_EX_X_2015_1000 NAC_3_1
DE EX_X 2015 1000 NAC 3_2 DE_EX_X_2015_1000 NAC_3_2
DE EX_X 2015 1000 NAC 4 DE_EX_X_2015_1000 NAC_4
DE EX_X 2015 1000 NAC 4_1 DE_EX_X_2015_1000 NAC_4_1
DE EX_X 2015 1000 NAC 4_2 DE_EX_X_2015_1000 NAC_4_2
DE EX_X 2015 1000 NAC 5 DE_EX_X_2015_1000 NAC_5
DE EX_X 2015 1000 NAC 5_C DE_EX_X_2015_1000 NAC_5_C
DE EX_X 2015 1000 NAC 5_NC DE_EX_X_2015_1000 NAC_5_NC
DE EX_X 2015 1000 NAC 5_NC_T DE_EX_X_2015_1000 NAC_5_NC_T
DE EX_X 2015 1000 NAC 6 DE_EX_X_2015_1000 NAC_6
DE EX_X 2015 1000 NAC 6_1 DE_EX_X_2015_1000 NAC_6_1
DE EX_X 2015 1000 NAC 6_1_C DE_EX_X_2015_1000 NAC_6_1_C
DE EX_X 2015 1000 NAC 6_1_NC DE_EX_X_2015_1000 NAC_6_1_NC
DE EX_X 2015 1000 NAC 6_1_NC_T DE_EX_X_2015_1000 NAC_6_1_NC_T
DE EX_X 2015 1000 NAC 6_2 DE_EX_X_2015_1000 NAC_6_2
DE EX_X 2015 1000 NAC 6_2_C DE_EX_X_2015_1000 NAC_6_2_C
DE EX_X 2015 1000 NAC 6_2_NC DE_EX_X_2015_1000 NAC_6_2_NC
DE EX_X 2015 1000 NAC 6_2_NC_T DE_EX_X_2015_1000 NAC_6_2_NC_T
DE EX_X 2015 1000 NAC 6_3 DE_EX_X_2015_1000 NAC_6_3
DE EX_X 2015 1000 NAC 6_3_1 DE_EX_X_2015_1000 NAC_6_3_1
DE EX_X 2015 1000 NAC 6_4 DE_EX_X_2015_1000 NAC_6_4
DE EX_X 2015 1000 NAC 6_4_1 DE_EX_X_2015_1000 NAC_6_4_1
DE EX_X 2015 1000 NAC 6_4_2 DE_EX_X_2015_1000 NAC_6_4_2
DE EX_X 2015 1000 NAC 6_4_3 DE_EX_X_2015_1000 NAC_6_4_3
DE EX_X 2015 1000 NAC 7 DE_EX_X_2015_1000 NAC_7
DE EX_X 2015 1000 NAC 7_1 DE_EX_X_2015_1000 NAC_7_1
DE EX_X 2015 1000 NAC 7_2 DE_EX_X_2015_1000 NAC_7_2
DE EX_X 2015 1000 NAC 7_3 DE_EX_X_2015_1000 NAC_7_3
DE EX_X 2015 1000 NAC 7_3_1 DE_EX_X_2015_1000 NAC_7_3_1
DE EX_X 2015 1000 NAC 7_3_2 DE_EX_X_2015_1000 NAC_7_3_2
DE EX_X 2015 1000 NAC 7_3_3 DE_EX_X_2015_1000 NAC_7_3_3
DE EX_X 2015 1000 NAC 7_3_4 DE_EX_X_2015_1000 NAC_7_3_4
DE EX_X 2015 1000 NAC 7_4 DE_EX_X_2015_1000 NAC_7_4
DE EX_X 2015 1000 NAC 8 DE_EX_X_2015_1000 NAC_8
DE EX_X 2015 1000 NAC 8_1 DE_EX_X_2015_1000 NAC_8_1
DE EX_X 2015 1000 NAC 8_2 DE_EX_X_2015_1000 NAC_8_2
DE EX_X 2015 1000 NAC 9 DE_EX_X_2015_1000 NAC_9
DE EX_X 2015 1000 NAC 10 DE_EX_X_2015_1000 NAC_10
DE EX_X 2015 1000 NAC 10_1 DE_EX_X_2015_1000 NAC_10_1
DE EX_X 2015 1000 NAC 10_1_1 DE_EX_X_2015_1000 NAC_10_1_1
DE EX_X 2015 1000 NAC 10_1_2 DE_EX_X_2015_1000 NAC_10_1_2
DE EX_X 2015 1000 NAC 10_1_3 DE_EX_X_2015_1000 NAC_10_1_3
DE EX_X 2015 1000 NAC 10_1_4 DE_EX_X_2015_1000 NAC_10_1_4
DE EX_X 2015 1000 NAC 10_2 DE_EX_X_2015_1000 NAC_10_2
DE EX_X 2015 1000 NAC 10_3 DE_EX_X_2015_1000 NAC_10_3
DE EX_X 2015 1000 NAC 10_3_1 DE_EX_X_2015_1000 NAC_10_3_1
DE EX_X 2015 1000 NAC 10_3_2 DE_EX_X_2015_1000 NAC_10_3_2
DE EX_X 2015 1000 NAC 10_3_3 DE_EX_X_2015_1000 NAC_10_3_3
DE EX_X 2015 1000 NAC 10_3_4 DE_EX_X_2015_1000 NAC_10_3_4
DE EX_X 2015 1000 NAC 10_4 DE_EX_X_2015_1000 NAC_10_4
DE P 2015 1000 m3 EU2_1 DE_P_2015_1000 m3_EU2_1
DE P 2015 1000 m3 EU2_1_C DE_P_2015_1000 m3_EU2_1_C
DE P 2015 1000 m3 EU2_1_NC DE_P_2015_1000 m3_EU2_1_NC
DE P 2015 1000 m3 EU2_1_1 DE_P_2015_1000 m3_EU2_1_1
DE P 2015 1000 m3 EU2_1_1_C DE_P_2015_1000 m3_EU2_1_1_C
DE P 2015 1000 m3 EU2_1_1_NC DE_P_2015_1000 m3_EU2_1_1_NC
DE P 2015 1000 m3 EU2_1_2 DE_P_2015_1000 m3_EU2_1_2
DE P 2015 1000 m3 EU2_1_2_C DE_P_2015_1000 m3_EU2_1_2_C
DE P 2015 1000 m3 EU2_1_2_NC DE_P_2015_1000 m3_EU2_1_2_NC
DE P 2015 1000 m3 EU2_1_3 DE_P_2015_1000 m3_EU2_1_3
DE P 2015 1000 m3 EU2_1_3_C DE_P_2015_1000 m3_EU2_1_3_C
DE P 2015 1000 m3 EU2_1_3_NC DE_P_2015_1000 m3_EU2_1_3_NC
DE P.OB 2015 1000 m3 1 DE_P.OB_2015_1000 m3_1
DE P.OB 2015 1000 m3 1_C DE_P.OB_2015_1000 m3_1_C
DE P.OB 2015 1000 m3 1_NC DE_P.OB_2015_1000 m3_1_NC
DE P.OB 2015 1000 m3 1_1 DE_P.OB_2015_1000 m3_1_1
DE P.OB 2015 1000 m3 1_1_C DE_P.OB_2015_1000 m3_1_1_C
DE P.OB 2015 1000 m3 1_1_NC DE_P.OB_2015_1000 m3_1_1_NC
DE P.OB 2015 1000 m3 1_2 DE_P.OB_2015_1000 m3_1_2
DE P.OB 2015 1000 m3 1_2_C DE_P.OB_2015_1000 m3_1_2_C
DE P.OB 2015 1000 m3 1_2_NC DE_P.OB_2015_1000 m3_1_2_NC
DE P.OB 2015 1000 m3 1_2_1 DE_P.OB_2015_1000 m3_1_2_1
DE P.OB 2015 1000 m3 1_2_1_C DE_P.OB_2015_1000 m3_1_2_1_C
DE P.OB 2015 1000 m3 1_2_1_NC DE_P.OB_2015_1000 m3_1_2_1_NC
DE P.OB 2015 1000 m3 1_2_2 DE_P.OB_2015_1000 m3_1_2_2
DE P.OB 2015 1000 m3 1_2_2_C DE_P.OB_2015_1000 m3_1_2_2_C
DE P.OB 2015 1000 m3 1_2_2_NC DE_P.OB_2015_1000 m3_1_2_2_NC
DE P.OB 2015 1000 m3 1_2_3 DE_P.OB_2015_1000 m3_1_2_3
DE P.OB 2015 1000 m3 1_2_3_C DE_P.OB_2015_1000 m3_1_2_3_C
DE P.OB 2015 1000 m3 1_2_3_NC DE_P.OB_2015_1000 m3_1_2_3_NC
DE P 2014 1000 m3 1 DE_P_2014_1000 m3_1
DE P 2014 1000 m3 1_C DE_P_2014_1000 m3_1_C
DE P 2014 1000 m3 1_NC DE_P_2014_1000 m3_1_NC
DE P 2014 1000 m3 1_1 DE_P_2014_1000 m3_1_1
DE P 2014 1000 m3 1_1_C DE_P_2014_1000 m3_1_1_C
DE P 2014 1000 m3 1_1_NC DE_P_2014_1000 m3_1_1_NC
DE P 2014 1000 m3 1_2 DE_P_2014_1000 m3_1_2
DE P 2014 1000 m3 1_2_C DE_P_2014_1000 m3_1_2_C
DE P 2014 1000 m3 1_2_NC DE_P_2014_1000 m3_1_2_NC
DE P 2014 1000 m3 1_2_1 DE_P_2014_1000 m3_1_2_1
DE P 2014 1000 m3 1_2_1_C DE_P_2014_1000 m3_1_2_1_C
DE P 2014 1000 m3 1_2_1_NC DE_P_2014_1000 m3_1_2_1_NC
DE P 2014 1000 m3 1_2_2 DE_P_2014_1000 m3_1_2_2
DE P 2014 1000 m3 1_2_2_C DE_P_2014_1000 m3_1_2_2_C
DE P 2014 1000 m3 1_2_2_NC DE_P_2014_1000 m3_1_2_2_NC
DE P 2014 1000 m3 1_2_3 DE_P_2014_1000 m3_1_2_3
DE P 2014 1000 m3 1_2_3_C DE_P_2014_1000 m3_1_2_3_C
DE P 2014 1000 m3 1_2_3_NC DE_P_2014_1000 m3_1_2_3_NC
DE P 2014 1000 mt 2 DE_P_2014_1000 mt_2
DE P 2014 1000 m3 3 DE_P_2014_1000 m3_3
DE P 2014 1000 m3 3_1 DE_P_2014_1000 m3_3_1
DE P 2014 1000 m3 3_2 DE_P_2014_1000 m3_3_2
DE P 2014 1000 mt 4 DE_P_2014_1000 mt_4
DE P 2014 1000 mt 4_1 DE_P_2014_1000 mt_4_1
DE P 2014 1000 mt 4_2 DE_P_2014_1000 mt_4_2
DE P 2014 1000 m3 5 DE_P_2014_1000 m3_5
DE P 2014 1000 m3 5_C DE_P_2014_1000 m3_5_C
DE P 2014 1000 m3 5_NC DE_P_2014_1000 m3_5_NC
DE P 2014 1000 m3 5_NC_T DE_P_2014_1000 m3_5_NC_T
DE P 2014 1000 m3 6 DE_P_2014_1000 m3_6
DE P 2014 1000 m3 6_1 DE_P_2014_1000 m3_6_1
DE P 2014 1000 m3 6_1_C DE_P_2014_1000 m3_6_1_C
DE P 2014 1000 m3 6_1_NC DE_P_2014_1000 m3_6_1_NC
DE P 2014 1000 m3 6_1_NC_T DE_P_2014_1000 m3_6_1_NC_T
DE P 2014 1000 m3 6_2 DE_P_2014_1000 m3_6_2
DE P 2014 1000 m3 6_2_C DE_P_2014_1000 m3_6_2_C
DE P 2014 1000 m3 6_2_NC DE_P_2014_1000 m3_6_2_NC
DE P 2014 1000 m3 6_2_NC_T DE_P_2014_1000 m3_6_2_NC_T
DE P 2014 1000 m3 6_3 DE_P_2014_1000 m3_6_3
DE P 2014 1000 m3 6_3_1 DE_P_2014_1000 m3_6_3_1
DE P 2014 1000 m3 6_4 DE_P_2014_1000 m3_6_4
DE P 2014 1000 m3 6_4_1 DE_P_2014_1000 m3_6_4_1
DE P 2014 1000 m3 6_4_2 DE_P_2014_1000 m3_6_4_2
DE P 2014 1000 m3 6_4_3 DE_P_2014_1000 m3_6_4_3
DE P 2014 1000 mt 7 DE_P_2014_1000 mt_7
DE P 2014 1000 mt 7_1 DE_P_2014_1000 mt_7_1
DE P 2014 1000 mt 7_2 DE_P_2014_1000 mt_7_2
DE P 2014 1000 mt 7_3 DE_P_2014_1000 mt_7_3
DE P 2014 1000 mt 7_3_1 DE_P_2014_1000 mt_7_3_1
DE P 2014 1000 mt 7_3_2 DE_P_2014_1000 mt_7_3_2
DE P 2014 1000 mt 7_3_3 DE_P_2014_1000 mt_7_3_3
DE P 2014 1000 mt 7_3_4 DE_P_2014_1000 mt_7_3_4
DE P 2014 1000 mt 7_4 DE_P_2014_1000 mt_7_4
DE P 2014 1000 mt 8 DE_P_2014_1000 mt_8
DE P 2014 1000 mt 8_1 DE_P_2014_1000 mt_8_1
DE P 2014 1000 mt 8_2 DE_P_2014_1000 mt_8_2
DE P 2014 1000 mt 9 DE_P_2014_1000 mt_9
DE P 2014 1000 mt 10 DE_P_2014_1000 mt_10
DE P 2014 1000 mt 10_1 DE_P_2014_1000 mt_10_1
DE P 2014 1000 mt 10_1_1 DE_P_2014_1000 mt_10_1_1
DE P 2014 1000 mt 10_1_2 DE_P_2014_1000 mt_10_1_2
DE P 2014 1000 mt 10_1_3 DE_P_2014_1000 mt_10_1_3
DE P 2014 1000 mt 10_1_4 DE_P_2014_1000 mt_10_1_4
DE P 2014 1000 mt 10_2 DE_P_2014_1000 mt_10_2
DE P 2014 1000 mt 10_3 DE_P_2014_1000 mt_10_3
DE P 2014 1000 mt 10_3_1 DE_P_2014_1000 mt_10_3_1
DE P 2014 1000 mt 10_3_2 DE_P_2014_1000 mt_10_3_2
DE P 2014 1000 mt 10_3_3 DE_P_2014_1000 mt_10_3_3
DE P 2014 1000 mt 10_3_4 DE_P_2014_1000 mt_10_3_4
DE P 2014 1000 mt 10_4 DE_P_2014_1000 mt_10_4
DE M 2014 1000 m3 1 DE_M_2014_1000 m3_1
DE M 2014 1000 m3 1_1 DE_M_2014_1000 m3_1_1
DE M 2014 1000 m3 1_2 DE_M_2014_1000 m3_1_2
DE M 2014 1000 m3 1_2_C DE_M_2014_1000 m3_1_2_C
DE M 2014 1000 m3 1_2_NC DE_M_2014_1000 m3_1_2_NC
DE M 2014 1000 m3 1_2_NC_T DE_M_2014_1000 m3_1_2_NC_T
DE M 2014 1000 mt 2 DE_M_2014_1000 mt_2
DE M 2014 1000 m3 3 DE_M_2014_1000 m3_3
DE M 2014 1000 m3 3_1 DE_M_2014_1000 m3_3_1
DE M 2014 1000 m3 3_2 DE_M_2014_1000 m3_3_2
DE M 2014 1000 mt 4 DE_M_2014_1000 mt_4
DE M 2014 1000 mt 4_1 DE_M_2014_1000 mt_4_1
DE M 2014 1000 mt 4_2 DE_M_2014_1000 mt_4_2
DE M 2014 1000 m3 5 DE_M_2014_1000 m3_5
DE M 2014 1000 m3 5_C DE_M_2014_1000 m3_5_C
DE M 2014 1000 m3 5_NC DE_M_2014_1000 m3_5_NC
DE M 2014 1000 m3 5_NC_T DE_M_2014_1000 m3_5_NC_T
DE M 2014 1000 m3 6 DE_M_2014_1000 m3_6
DE M 2014 1000 m3 6_1 DE_M_2014_1000 m3_6_1
DE M 2014 1000 m3 6_1_C DE_M_2014_1000 m3_6_1_C
DE M 2014 1000 m3 6_1_NC DE_M_2014_1000 m3_6_1_NC
DE M 2014 1000 m3 6_1_NC_T DE_M_2014_1000 m3_6_1_NC_T
DE M 2014 1000 m3 6_2 DE_M_2014_1000 m3_6_2
DE M 2014 1000 m3 6_2_C DE_M_2014_1000 m3_6_2_C
DE M 2014 1000 m3 6_2_NC DE_M_2014_1000 m3_6_2_NC
DE M 2014 1000 m3 6_2_NC_T DE_M_2014_1000 m3_6_2_NC_T
DE M 2014 1000 m3 6_3 DE_M_2014_1000 m3_6_3
DE M 2014 1000 m3 6_3_1 DE_M_2014_1000 m3_6_3_1
DE M 2014 1000 m3 6_4 DE_M_2014_1000 m3_6_4
DE M 2014 1000 m3 6_4_1 DE_M_2014_1000 m3_6_4_1
DE M 2014 1000 m3 6_4_2 DE_M_2014_1000 m3_6_4_2
DE M 2014 1000 m3 6_4_3 DE_M_2014_1000 m3_6_4_3
DE M 2014 1000 mt 7 DE_M_2014_1000 mt_7
DE M 2014 1000 mt 7_1 DE_M_2014_1000 mt_7_1
DE M 2014 1000 mt 7_2 DE_M_2014_1000 mt_7_2
DE M 2014 1000 mt 7_3 DE_M_2014_1000 mt_7_3
DE M 2014 1000 mt 7_3_1 DE_M_2014_1000 mt_7_3_1
DE M 2014 1000 mt 7_3_2 DE_M_2014_1000 mt_7_3_2
DE M 2014 1000 mt 7_3_3 DE_M_2014_1000 mt_7_3_3
DE M 2014 1000 mt 7_3_4 DE_M_2014_1000 mt_7_3_4
DE M 2014 1000 mt 7_4 DE_M_2014_1000 mt_7_4
DE M 2014 1000 mt 8 DE_M_2014_1000 mt_8
DE M 2014 1000 mt 8_1 DE_M_2014_1000 mt_8_1
DE M 2014 1000 mt 8_2 DE_M_2014_1000 mt_8_2
DE M 2014 1000 mt 9 DE_M_2014_1000 mt_9
DE M 2014 1000 mt 10 DE_M_2014_1000 mt_10
DE M 2014 1000 mt 10_1 DE_M_2014_1000 mt_10_1
DE M 2014 1000 mt 10_1_1 DE_M_2014_1000 mt_10_1_1
DE M 2014 1000 mt 10_1_2 DE_M_2014_1000 mt_10_1_2
DE M 2014 1000 mt 10_1_3 DE_M_2014_1000 mt_10_1_3
DE M 2014 1000 mt 10_1_4 DE_M_2014_1000 mt_10_1_4
DE M 2014 1000 mt 10_2 DE_M_2014_1000 mt_10_2
DE M 2014 1000 mt 10_3 DE_M_2014_1000 mt_10_3
DE M 2014 1000 mt 10_3_1 DE_M_2014_1000 mt_10_3_1
DE M 2014 1000 mt 10_3_2 DE_M_2014_1000 mt_10_3_2
DE M 2014 1000 mt 10_3_3 DE_M_2014_1000 mt_10_3_3
DE M 2014 1000 mt 10_3_4 DE_M_2014_1000 mt_10_3_4
DE M 2014 1000 mt 10_4 DE_M_2014_1000 mt_10_4
DE M 2014 1000 NAC 1 DE_M_2014_1000 NAC_1
DE M 2014 1000 NAC 1_1 DE_M_2014_1000 NAC_1_1
DE M 2014 1000 NAC 1_2 DE_M_2014_1000 NAC_1_2
DE M 2014 1000 NAC 1_2_C DE_M_2014_1000 NAC_1_2_C
DE M 2014 1000 NAC 1_2_NC DE_M_2014_1000 NAC_1_2_NC
DE M 2014 1000 NAC 1_2_NC_T DE_M_2014_1000 NAC_1_2_NC_T
DE M 2014 1000 NAC 2 DE_M_2014_1000 NAC_2
DE M 2014 1000 NAC 3 DE_M_2014_1000 NAC_3
DE M 2014 1000 NAC 3_1 DE_M_2014_1000 NAC_3_1
DE M 2014 1000 NAC 3_2 DE_M_2014_1000 NAC_3_2
DE M 2014 1000 NAC 4 DE_M_2014_1000 NAC_4
DE M 2014 1000 NAC 4_1 DE_M_2014_1000 NAC_4_1
DE M 2014 1000 NAC 4_2 DE_M_2014_1000 NAC_4_2
DE M 2014 1000 NAC 5 DE_M_2014_1000 NAC_5
DE M 2014 1000 NAC 5_C DE_M_2014_1000 NAC_5_C
DE M 2014 1000 NAC 5_NC DE_M_2014_1000 NAC_5_NC
DE M 2014 1000 NAC 5_NC_T DE_M_2014_1000 NAC_5_NC_T
DE M 2014 1000 NAC 6 DE_M_2014_1000 NAC_6
DE M 2014 1000 NAC 6_1 DE_M_2014_1000 NAC_6_1
DE M 2014 1000 NAC 6_1_C DE_M_2014_1000 NAC_6_1_C
DE M 2014 1000 NAC 6_1_NC DE_M_2014_1000 NAC_6_1_NC
DE M 2014 1000 NAC 6_1_NC_T DE_M_2014_1000 NAC_6_1_NC_T
DE M 2014 1000 NAC 6_2 DE_M_2014_1000 NAC_6_2
DE M 2014 1000 NAC 6_2_C DE_M_2014_1000 NAC_6_2_C
DE M 2014 1000 NAC 6_2_NC DE_M_2014_1000 NAC_6_2_NC
DE M 2014 1000 NAC 6_2_NC_T DE_M_2014_1000 NAC_6_2_NC_T
DE M 2014 1000 NAC 6_3 DE_M_2014_1000 NAC_6_3
DE M 2014 1000 NAC 6_3_1 DE_M_2014_1000 NAC_6_3_1
DE M 2014 1000 NAC 6_4 DE_M_2014_1000 NAC_6_4
DE M 2014 1000 NAC 6_4_1 DE_M_2014_1000 NAC_6_4_1
DE M 2014 1000 NAC 6_4_2 DE_M_2014_1000 NAC_6_4_2
DE M 2014 1000 NAC 6_4_3 DE_M_2014_1000 NAC_6_4_3
DE M 2014 1000 NAC 7 DE_M_2014_1000 NAC_7
DE M 2014 1000 NAC 7_1 DE_M_2014_1000 NAC_7_1
DE M 2014 1000 NAC 7_2 DE_M_2014_1000 NAC_7_2
DE M 2014 1000 NAC 7_3 DE_M_2014_1000 NAC_7_3
DE M 2014 1000 NAC 7_3_1 DE_M_2014_1000 NAC_7_3_1
DE M 2014 1000 NAC 7_3_2 DE_M_2014_1000 NAC_7_3_2
DE M 2014 1000 NAC 7_3_3 DE_M_2014_1000 NAC_7_3_3
DE M 2014 1000 NAC 7_3_4 DE_M_2014_1000 NAC_7_3_4
DE M 2014 1000 NAC 7_4 DE_M_2014_1000 NAC_7_4
DE M 2014 1000 NAC 8 DE_M_2014_1000 NAC_8
DE M 2014 1000 NAC 8_1 DE_M_2014_1000 NAC_8_1
DE M 2014 1000 NAC 8_2 DE_M_2014_1000 NAC_8_2
DE M 2014 1000 NAC 9 DE_M_2014_1000 NAC_9
DE M 2014 1000 NAC 10 DE_M_2014_1000 NAC_10
DE M 2014 1000 NAC 10_1 DE_M_2014_1000 NAC_10_1
DE M 2014 1000 NAC 10_1_1 DE_M_2014_1000 NAC_10_1_1
DE M 2014 1000 NAC 10_1_2 DE_M_2014_1000 NAC_10_1_2
DE M 2014 1000 NAC 10_1_3 DE_M_2014_1000 NAC_10_1_3
DE M 2014 1000 NAC 10_1_4 DE_M_2014_1000 NAC_10_1_4
DE M 2014 1000 NAC 10_2 DE_M_2014_1000 NAC_10_2
DE M 2014 1000 NAC 10_3 DE_M_2014_1000 NAC_10_3
DE M 2014 1000 NAC 10_3_1 DE_M_2014_1000 NAC_10_3_1
DE M 2014 1000 NAC 10_3_2 DE_M_2014_1000 NAC_10_3_2
DE M 2014 1000 NAC 10_3_3 DE_M_2014_1000 NAC_10_3_3
DE M 2014 1000 NAC 10_3_4 DE_M_2014_1000 NAC_10_3_4
DE M 2014 1000 NAC 10_4 DE_M_2014_1000 NAC_10_4
DE X 2014 1000 m3 1 DE_X_2014_1000 m3_1
DE X 2014 1000 m3 1_1 DE_X_2014_1000 m3_1_1
DE X 2014 1000 m3 1_2 DE_X_2014_1000 m3_1_2
DE X 2014 1000 m3 1_2_C DE_X_2014_1000 m3_1_2_C
DE X 2014 1000 m3 1_2_NC DE_X_2014_1000 m3_1_2_NC
DE X 2014 1000 m3 1_2_NC_T DE_X_2014_1000 m3_1_2_NC_T
DE X 2014 1000 mt 2 DE_X_2014_1000 mt_2
DE X 2014 1000 m3 3 DE_X_2014_1000 m3_3
DE X 2014 1000 m3 3_1 DE_X_2014_1000 m3_3_1
DE X 2014 1000 m3 3_2 DE_X_2014_1000 m3_3_2
DE X 2014 1000 mt 4 DE_X_2014_1000 mt_4
DE X 2014 1000 mt 4_1 DE_X_2014_1000 mt_4_1
DE X 2014 1000 mt 4_2 DE_X_2014_1000 mt_4_2
DE X 2014 1000 m3 5 DE_X_2014_1000 m3_5
DE X 2014 1000 m3 5_C DE_X_2014_1000 m3_5_C
DE X 2014 1000 m3 5_NC DE_X_2014_1000 m3_5_NC
DE X 2014 1000 m3 5_NC_T DE_X_2014_1000 m3_5_NC_T
DE X 2014 1000 m3 6 DE_X_2014_1000 m3_6
DE X 2014 1000 m3 6_1 DE_X_2014_1000 m3_6_1
DE X 2014 1000 m3 6_1_C DE_X_2014_1000 m3_6_1_C
DE X 2014 1000 m3 6_1_NC DE_X_2014_1000 m3_6_1_NC
DE X 2014 1000 m3 6_1_NC_T DE_X_2014_1000 m3_6_1_NC_T
DE X 2014 1000 m3 6_2 DE_X_2014_1000 m3_6_2
DE X 2014 1000 m3 6_2_C DE_X_2014_1000 m3_6_2_C
DE X 2014 1000 m3 6_2_NC DE_X_2014_1000 m3_6_2_NC
DE X 2014 1000 m3 6_2_NC_T DE_X_2014_1000 m3_6_2_NC_T
DE X 2014 1000 m3 6_3 DE_X_2014_1000 m3_6_3
DE X 2014 1000 m3 6_3_1 DE_X_2014_1000 m3_6_3_1
DE X 2014 1000 m3 6_4 DE_X_2014_1000 m3_6_4
DE X 2014 1000 m3 6_4_1 DE_X_2014_1000 m3_6_4_1
DE X 2014 1000 m3 6_4_2 DE_X_2014_1000 m3_6_4_2
DE X 2014 1000 m3 6_4_3 DE_X_2014_1000 m3_6_4_3
DE X 2014 1000 mt 7 DE_X_2014_1000 mt_7
DE X 2014 1000 mt 7_1 DE_X_2014_1000 mt_7_1
DE X 2014 1000 mt 7_2 DE_X_2014_1000 mt_7_2
DE X 2014 1000 mt 7_3 DE_X_2014_1000 mt_7_3
DE X 2014 1000 mt 7_3_1 DE_X_2014_1000 mt_7_3_1
DE X 2014 1000 mt 7_3_2 DE_X_2014_1000 mt_7_3_2
DE X 2014 1000 mt 7_3_3 DE_X_2014_1000 mt_7_3_3
DE X 2014 1000 mt 7_3_4 DE_X_2014_1000 mt_7_3_4
DE X 2014 1000 mt 7_4 DE_X_2014_1000 mt_7_4
DE X 2014 1000 mt 8 DE_X_2014_1000 mt_8
DE X 2014 1000 mt 8_1 DE_X_2014_1000 mt_8_1
DE X 2014 1000 mt 8_2 DE_X_2014_1000 mt_8_2
DE X 2014 1000 mt 9 DE_X_2014_1000 mt_9
DE X 2014 1000 mt 10 DE_X_2014_1000 mt_10
DE X 2014 1000 mt 10_1 DE_X_2014_1000 mt_10_1
DE X 2014 1000 mt 10_1_1 DE_X_2014_1000 mt_10_1_1
DE X 2014 1000 mt 10_1_2 DE_X_2014_1000 mt_10_1_2
DE X 2014 1000 mt 10_1_3 DE_X_2014_1000 mt_10_1_3
DE X 2014 1000 mt 10_1_4 DE_X_2014_1000 mt_10_1_4
DE X 2014 1000 mt 10_2 DE_X_2014_1000 mt_10_2
DE X 2014 1000 mt 10_3 DE_X_2014_1000 mt_10_3
DE X 2014 1000 mt 10_3_1 DE_X_2014_1000 mt_10_3_1
DE X 2014 1000 mt 10_3_2 DE_X_2014_1000 mt_10_3_2
DE X 2014 1000 mt 10_3_3 DE_X_2014_1000 mt_10_3_3
DE X 2014 1000 mt 10_3_4 DE_X_2014_1000 mt_10_3_4
DE X 2014 1000 mt 10_4 DE_X_2014_1000 mt_10_4
DE X 2014 1000 NAC 1 DE_X_2014_1000 NAC_1
DE X 2014 1000 NAC 1_1 DE_X_2014_1000 NAC_1_1
DE X 2014 1000 NAC 1_2 DE_X_2014_1000 NAC_1_2
DE X 2014 1000 NAC 1_2_C DE_X_2014_1000 NAC_1_2_C
DE X 2014 1000 NAC 1_2_NC DE_X_2014_1000 NAC_1_2_NC
DE X 2014 1000 NAC 1_2_NC_T DE_X_2014_1000 NAC_1_2_NC_T
DE X 2014 1000 NAC 2 DE_X_2014_1000 NAC_2
DE X 2014 1000 NAC 3 DE_X_2014_1000 NAC_3
DE X 2014 1000 NAC 3_1 DE_X_2014_1000 NAC_3_1
DE X 2014 1000 NAC 3_2 DE_X_2014_1000 NAC_3_2
DE X 2014 1000 NAC 4 DE_X_2014_1000 NAC_4
DE X 2014 1000 NAC 4_1 DE_X_2014_1000 NAC_4_1
DE X 2014 1000 NAC 4_2 DE_X_2014_1000 NAC_4_2
DE X 2014 1000 NAC 5 DE_X_2014_1000 NAC_5
DE X 2014 1000 NAC 5_C DE_X_2014_1000 NAC_5_C
DE X 2014 1000 NAC 5_NC DE_X_2014_1000 NAC_5_NC
DE X 2014 1000 NAC 5_NC_T DE_X_2014_1000 NAC_5_NC_T
DE X 2014 1000 NAC 6 DE_X_2014_1000 NAC_6
DE X 2014 1000 NAC 6_1 DE_X_2014_1000 NAC_6_1
DE X 2014 1000 NAC 6_1_C DE_X_2014_1000 NAC_6_1_C
DE X 2014 1000 NAC 6_1_NC DE_X_2014_1000 NAC_6_1_NC
DE X 2014 1000 NAC 6_1_NC_T DE_X_2014_1000 NAC_6_1_NC_T
DE X 2014 1000 NAC 6_2 DE_X_2014_1000 NAC_6_2
DE X 2014 1000 NAC 6_2_C DE_X_2014_1000 NAC_6_2_C
DE X 2014 1000 NAC 6_2_NC DE_X_2014_1000 NAC_6_2_NC
DE X 2014 1000 NAC 6_2_NC_T DE_X_2014_1000 NAC_6_2_NC_T
DE X 2014 1000 NAC 6_3 DE_X_2014_1000 NAC_6_3
DE X 2014 1000 NAC 6_3_1 DE_X_2014_1000 NAC_6_3_1
DE X 2014 1000 NAC 6_4 DE_X_2014_1000 NAC_6_4
DE X 2014 1000 NAC 6_4_1 DE_X_2014_1000 NAC_6_4_1
DE X 2014 1000 NAC 6_4_2 DE_X_2014_1000 NAC_6_4_2
DE X 2014 1000 NAC 6_4_3 DE_X_2014_1000 NAC_6_4_3
DE X 2014 1000 NAC 7 DE_X_2014_1000 NAC_7
DE X 2014 1000 NAC 7_1 DE_X_2014_1000 NAC_7_1
DE X 2014 1000 NAC 7_2 DE_X_2014_1000 NAC_7_2
DE X 2014 1000 NAC 7_3 DE_X_2014_1000 NAC_7_3
DE X 2014 1000 NAC 7_3_1 DE_X_2014_1000 NAC_7_3_1
DE X 2014 1000 NAC 7_3_2 DE_X_2014_1000 NAC_7_3_2
DE X 2014 1000 NAC 7_3_3 DE_X_2014_1000 NAC_7_3_3
DE X 2014 1000 NAC 7_3_4 DE_X_2014_1000 NAC_7_3_4
DE X 2014 1000 NAC 7_4 DE_X_2014_1000 NAC_7_4
DE X 2014 1000 NAC 8 DE_X_2014_1000 NAC_8
DE X 2014 1000 NAC 8_1 DE_X_2014_1000 NAC_8_1
DE X 2014 1000 NAC 8_2 DE_X_2014_1000 NAC_8_2
DE X 2014 1000 NAC 9 DE_X_2014_1000 NAC_9
DE X 2014 1000 NAC 10 DE_X_2014_1000 NAC_10
DE X 2014 1000 NAC 10_1 DE_X_2014_1000 NAC_10_1
DE X 2014 1000 NAC 10_1_1 DE_X_2014_1000 NAC_10_1_1
DE X 2014 1000 NAC 10_1_2 DE_X_2014_1000 NAC_10_1_2
DE X 2014 1000 NAC 10_1_3 DE_X_2014_1000 NAC_10_1_3
DE X 2014 1000 NAC 10_1_4 DE_X_2014_1000 NAC_10_1_4
DE X 2014 1000 NAC 10_2 DE_X_2014_1000 NAC_10_2
DE X 2014 1000 NAC 10_3 DE_X_2014_1000 NAC_10_3
DE X 2014 1000 NAC 10_3_1 DE_X_2014_1000 NAC_10_3_1
DE X 2014 1000 NAC 10_3_2 DE_X_2014_1000 NAC_10_3_2
DE X 2014 1000 NAC 10_3_3 DE_X_2014_1000 NAC_10_3_3
DE X 2014 1000 NAC 10_3_4 DE_X_2014_1000 NAC_10_3_4
DE X 2014 1000 NAC 10_4 DE_X_2014_1000 NAC_10_4
DE M 2014 1000 NAC 11_1 DE_M_2014_1000 NAC_11_1
DE M 2014 1000 NAC 11_1_C DE_M_2014_1000 NAC_11_1_C
DE M 2014 1000 NAC 11_1_NC DE_M_2014_1000 NAC_11_1_NC
DE M 2014 1000 NAC 11_1_NC_T DE_M_2014_1000 NAC_11_1_NC_T
DE M 2014 1000 NAC 11_2 DE_M_2014_1000 NAC_11_2
DE M 2014 1000 NAC 11_3 DE_M_2014_1000 NAC_11_3
DE M 2014 1000 NAC 11_4 DE_M_2014_1000 NAC_11_4
DE M 2014 1000 NAC 11_5 DE_M_2014_1000 NAC_11_5
DE M 2014 1000 NAC 11_6 DE_M_2014_1000 NAC_11_6
DE M 2014 1000 NAC 11_7 DE_M_2014_1000 NAC_11_7
DE M 2014 1000 NAC 11_7_1 DE_M_2014_1000 NAC_11_7_1
DE M 2014 1000 NAC 12_1 DE_M_2014_1000 NAC_12_1
DE M 2014 1000 NAC 12_2 DE_M_2014_1000 NAC_12_2
DE M 2014 1000 NAC 12_3 DE_M_2014_1000 NAC_12_3
DE M 2014 1000 NAC 12_4 DE_M_2014_1000 NAC_12_4
DE M 2014 1000 NAC 12_5 DE_M_2014_1000 NAC_12_5
DE M 2014 1000 NAC 12_6 DE_M_2014_1000 NAC_12_6
DE M 2014 1000 NAC 12_6_1 DE_M_2014_1000 NAC_12_6_1
DE M 2014 1000 NAC 12_6_2 DE_M_2014_1000 NAC_12_6_2
DE M 2014 1000 NAC 12_6_3 DE_M_2014_1000 NAC_12_6_3
DE M 2014 1000 NAC 12_7 DE_M_2014_1000 NAC_12_7
DE M 2014 1000 NAC 12_7_1 DE_M_2014_1000 NAC_12_7_1
DE M 2014 1000 NAC 12_7_2 DE_M_2014_1000 NAC_12_7_2
DE M 2014 1000 NAC 12_7_3 DE_M_2014_1000 NAC_12_7_3
DE X 2014 1000 NAC 11_1 DE_X_2014_1000 NAC_11_1
DE X 2014 1000 NAC 11_1_C DE_X_2014_1000 NAC_11_1_C
DE X 2014 1000 NAC 11_1_NC DE_X_2014_1000 NAC_11_1_NC
DE X 2014 1000 NAC 11_1_NC_T DE_X_2014_1000 NAC_11_1_NC_T
DE X 2014 1000 NAC 11_2 DE_X_2014_1000 NAC_11_2
DE X 2014 1000 NAC 11_3 DE_X_2014_1000 NAC_11_3
DE X 2014 1000 NAC 11_4 DE_X_2014_1000 NAC_11_4
DE X 2014 1000 NAC 11_5 DE_X_2014_1000 NAC_11_5
DE X 2014 1000 NAC 11_6 DE_X_2014_1000 NAC_11_6
DE X 2014 1000 NAC 11_7 DE_X_2014_1000 NAC_11_7
DE X 2014 1000 NAC 11_7_1 DE_X_2014_1000 NAC_11_7_1
DE X 2014 1000 NAC 12_1 DE_X_2014_1000 NAC_12_1
DE X 2014 1000 NAC 12_2 DE_X_2014_1000 NAC_12_2
DE X 2014 1000 NAC 12_3 DE_X_2014_1000 NAC_12_3
DE X 2014 1000 NAC 12_4 DE_X_2014_1000 NAC_12_4
DE X 2014 1000 NAC 12_5 DE_X_2014_1000 NAC_12_5
DE X 2014 1000 NAC 12_6 DE_X_2014_1000 NAC_12_6
DE X 2014 1000 NAC 12_6_1 DE_X_2014_1000 NAC_12_6_1
DE X 2014 1000 NAC 12_6_2 DE_X_2014_1000 NAC_12_6_2
DE X 2014 1000 NAC 12_6_3 DE_X_2014_1000 NAC_12_6_3
DE X 2014 1000 NAC 12_7 DE_X_2014_1000 NAC_12_7
DE X 2014 1000 NAC 12_7_1 DE_X_2014_1000 NAC_12_7_1
DE X 2014 1000 NAC 12_7_2 DE_X_2014_1000 NAC_12_7_2
DE X 2014 1000 NAC 12_7_3 DE_X_2014_1000 NAC_12_7_3
DE M 2014 1000 m3 ST_1_2_C DE_M_2014_1000 m3_ST_1_2_C
DE M 2014 1000 m3 ST_1_2_C_1 DE_M_2014_1000 m3_ST_1_2_C_1
DE M 2014 1000 m3 ST_1_2_C_1_1 DE_M_2014_1000 m3_ST_1_2_C_1_1
DE M 2014 1000 m3 ST_1_2_C_2_1 DE_M_2014_1000 m3_ST_1_2_C_2_1
DE M 2014 1000 m3 ST_1_2_C_2 DE_M_2014_1000 m3_ST_1_2_C_2
DE M 2014 1000 m3 ST_1_2_C_1_2 DE_M_2014_1000 m3_ST_1_2_C_1_2
DE M 2014 1000 m3 ST_1_2_C_2_2 DE_M_2014_1000 m3_ST_1_2_C_2_2
DE M 2014 1000 m3 ST_1_2_C_3 DE_M_2014_1000 m3_ST_1_2_C_3
DE M 2014 1000 m3 ST_1_2_C_1_3 DE_M_2014_1000 m3_ST_1_2_C_1_3
DE M 2014 1000 m3 ST_1_2_C_2_3 DE_M_2014_1000 m3_ST_1_2_C_2_3
DE M 2014 1000 m3 ST_1_2_NC DE_M_2014_1000 m3_ST_1_2_NC
DE M 2014 1000 m3 ST_1_2_NC_1 DE_M_2014_1000 m3_ST_1_2_NC_1
DE M 2014 1000 m3 ST_1_2_NC_1_1 DE_M_2014_1000 m3_ST_1_2_NC_1_1
DE M 2014 1000 m3 ST_1_2_NC_2_1 DE_M_2014_1000 m3_ST_1_2_NC_2_1
DE M 2014 1000 m3 ST_1_2_NC_2 DE_M_2014_1000 m3_ST_1_2_NC_2
DE M 2014 1000 m3 ST_1_2_NC_1_2 DE_M_2014_1000 m3_ST_1_2_NC_1_2
DE M 2014 1000 m3 ST_1_2_NC_2_2 DE_M_2014_1000 m3_ST_1_2_NC_2_2
DE M 2014 1000 m3 ST_1_2_NC_3 DE_M_2014_1000 m3_ST_1_2_NC_3
DE M 2014 1000 m3 ST_1_2_NC_1_3 DE_M_2014_1000 m3_ST_1_2_NC_1_3
DE M 2014 1000 m3 ST_1_2_NC_2_3 DE_M_2014_1000 m3_ST_1_2_NC_2_3
DE M 2014 1000 m3 ST_1_2_NC_4 DE_M_2014_1000 m3_ST_1_2_NC_4
DE M 2014 1000 m3 ST_1_2_NC_5 DE_M_2014_1000 m3_ST_1_2_NC_5
DE M 2014 1000 m3 ST_5_C DE_M_2014_1000 m3_ST_5_C
DE M 2014 1000 m3 ST_5_C_1 DE_M_2014_1000 m3_ST_5_C_1
DE M 2014 1000 m3 ST_5_C_2 DE_M_2014_1000 m3_ST_5_C_2
DE M 2014 1000 m3 ST_5_NC DE_M_2014_1000 m3_ST_5_NC
DE M 2014 1000 m3 ST_5_NC_1 DE_M_2014_1000 m3_ST_5_NC_1
DE M 2014 1000 m3 ST_5_NC_2 DE_M_2014_1000 m3_ST_5_NC_2
DE M 2014 1000 m3 ST_5_NC_3 DE_M_2014_1000 m3_ST_5_NC_3
DE M 2014 1000 m3 ST_5_NC_4 DE_M_2014_1000 m3_ST_5_NC_4
DE M 2014 1000 m3 ST_5_NC_5 DE_M_2014_1000 m3_ST_5_NC_5
DE M 2014 1000 m3 ST_5_NC_6 DE_M_2014_1000 m3_ST_5_NC_6
DE M 2014 1000 m3 ST_5_NC_7 DE_M_2014_1000 m3_ST_5_NC_7
DE M 2014 1000 NAC ST_1_2_C DE_M_2014_1000 NAC_ST_1_2_C
DE M 2014 1000 NAC ST_1_2_C_1 DE_M_2014_1000 NAC_ST_1_2_C_1
DE M 2014 1000 NAC ST_1_2_C_1_1 DE_M_2014_1000 NAC_ST_1_2_C_1_1
DE M 2014 1000 NAC ST_1_2_C_2_1 DE_M_2014_1000 NAC_ST_1_2_C_2_1
DE M 2014 1000 NAC ST_1_2_C_2 DE_M_2014_1000 NAC_ST_1_2_C_2
DE M 2014 1000 NAC ST_1_2_C_1_2 DE_M_2014_1000 NAC_ST_1_2_C_1_2
DE M 2014 1000 NAC ST_1_2_C_2_2 DE_M_2014_1000 NAC_ST_1_2_C_2_2
DE M 2014 1000 NAC ST_1_2_C_3 DE_M_2014_1000 NAC_ST_1_2_C_3
DE M 2014 1000 NAC ST_1_2_C_1_3 DE_M_2014_1000 NAC_ST_1_2_C_1_3
DE M 2014 1000 NAC ST_1_2_C_2_3 DE_M_2014_1000 NAC_ST_1_2_C_2_3
DE M 2014 1000 NAC ST_1_2_NC DE_M_2014_1000 NAC_ST_1_2_NC
DE M 2014 1000 NAC ST_1_2_NC_1 DE_M_2014_1000 NAC_ST_1_2_NC_1
DE M 2014 1000 NAC ST_1_2_NC_1_1 DE_M_2014_1000 NAC_ST_1_2_NC_1_1
DE M 2014 1000 NAC ST_1_2_NC_2_1 DE_M_2014_1000 NAC_ST_1_2_NC_2_1
DE M 2014 1000 NAC ST_1_2_NC_2 DE_M_2014_1000 NAC_ST_1_2_NC_2
DE M 2014 1000 NAC ST_1_2_NC_1_2 DE_M_2014_1000 NAC_ST_1_2_NC_1_2
DE M 2014 1000 NAC ST_1_2_NC_2_2 DE_M_2014_1000 NAC_ST_1_2_NC_2_2
DE M 2014 1000 NAC ST_1_2_NC_3 DE_M_2014_1000 NAC_ST_1_2_NC_3
DE M 2014 1000 NAC ST_1_2_NC_1_3 DE_M_2014_1000 NAC_ST_1_2_NC_1_3
DE M 2014 1000 NAC ST_1_2_NC_2_3 DE_M_2014_1000 NAC_ST_1_2_NC_2_3
DE M 2014 1000 NAC ST_1_2_NC_4 DE_M_2014_1000 NAC_ST_1_2_NC_4
DE M 2014 1000 NAC ST_1_2_NC_5 DE_M_2014_1000 NAC_ST_1_2_NC_5
DE M 2014 1000 NAC ST_5_C DE_M_2014_1000 NAC_ST_5_C
DE M 2014 1000 NAC ST_5_C_1 DE_M_2014_1000 NAC_ST_5_C_1
DE M 2014 1000 NAC ST_5_C_2 DE_M_2014_1000 NAC_ST_5_C_2
DE M 2014 1000 NAC ST_5_NC DE_M_2014_1000 NAC_ST_5_NC
DE M 2014 1000 NAC ST_5_NC_1 DE_M_2014_1000 NAC_ST_5_NC_1
DE M 2014 1000 NAC ST_5_NC_2 DE_M_2014_1000 NAC_ST_5_NC_2
DE M 2014 1000 NAC ST_5_NC_3 DE_M_2014_1000 NAC_ST_5_NC_3
DE M 2014 1000 NAC ST_5_NC_4 DE_M_2014_1000 NAC_ST_5_NC_4
DE M 2014 1000 NAC ST_5_NC_5 DE_M_2014_1000 NAC_ST_5_NC_5
DE M 2014 1000 NAC ST_5_NC_6 DE_M_2014_1000 NAC_ST_5_NC_6
DE M 2014 1000 NAC ST_5_NC_7 DE_M_2014_1000 NAC_ST_5_NC_7
DE X 2014 1000 m3 ST_1_2_C DE_X_2014_1000 m3_ST_1_2_C
DE X 2014 1000 m3 ST_1_2_C_1 DE_X_2014_1000 m3_ST_1_2_C_1
DE X 2014 1000 m3 ST_1_2_C_1_1 DE_X_2014_1000 m3_ST_1_2_C_1_1
DE X 2014 1000 m3 ST_1_2_C_2_1 DE_X_2014_1000 m3_ST_1_2_C_2_1
DE X 2014 1000 m3 ST_1_2_C_2 DE_X_2014_1000 m3_ST_1_2_C_2
DE X 2014 1000 m3 ST_1_2_C_1_2 DE_X_2014_1000 m3_ST_1_2_C_1_2
DE X 2014 1000 m3 ST_1_2_C_2_2 DE_X_2014_1000 m3_ST_1_2_C_2_2
DE X 2014 1000 m3 ST_1_2_C_3 DE_X_2014_1000 m3_ST_1_2_C_3
DE X 2014 1000 m3 ST_1_2_C_1_3 DE_X_2014_1000 m3_ST_1_2_C_1_3
DE X 2014 1000 m3 ST_1_2_C_2_3 DE_X_2014_1000 m3_ST_1_2_C_2_3
DE X 2014 1000 m3 ST_1_2_NC DE_X_2014_1000 m3_ST_1_2_NC
DE X 2014 1000 m3 ST_1_2_NC_1 DE_X_2014_1000 m3_ST_1_2_NC_1
DE X 2014 1000 m3 ST_1_2_NC_1_1 DE_X_2014_1000 m3_ST_1_2_NC_1_1
DE X 2014 1000 m3 ST_1_2_NC_2_1 DE_X_2014_1000 m3_ST_1_2_NC_2_1
DE X 2014 1000 m3 ST_1_2_NC_2 DE_X_2014_1000 m3_ST_1_2_NC_2
DE X 2014 1000 m3 ST_1_2_NC_1_2 DE_X_2014_1000 m3_ST_1_2_NC_1_2
DE X 2014 1000 m3 ST_1_2_NC_2_2 DE_X_2014_1000 m3_ST_1_2_NC_2_2
DE X 2014 1000 m3 ST_1_2_NC_3 DE_X_2014_1000 m3_ST_1_2_NC_3
DE X 2014 1000 m3 ST_1_2_NC_1_3 DE_X_2014_1000 m3_ST_1_2_NC_1_3
DE X 2014 1000 m3 ST_1_2_NC_2_3 DE_X_2014_1000 m3_ST_1_2_NC_2_3
DE X 2014 1000 m3 ST_1_2_NC_4 DE_X_2014_1000 m3_ST_1_2_NC_4
DE X 2014 1000 m3 ST_1_2_NC_5 DE_X_2014_1000 m3_ST_1_2_NC_5
DE X 2014 1000 m3 ST_5_C DE_X_2014_1000 m3_ST_5_C
DE X 2014 1000 m3 ST_5_C_1 DE_X_2014_1000 m3_ST_5_C_1
DE X 2014 1000 m3 ST_5_C_2 DE_X_2014_1000 m3_ST_5_C_2
DE X 2014 1000 m3 ST_5_NC DE_X_2014_1000 m3_ST_5_NC
DE X 2014 1000 m3 ST_5_NC_1 DE_X_2014_1000 m3_ST_5_NC_1
DE X 2014 1000 m3 ST_5_NC_2 DE_X_2014_1000 m3_ST_5_NC_2
DE X 2014 1000 m3 ST_5_NC_3 DE_X_2014_1000 m3_ST_5_NC_3
DE X 2014 1000 m3 ST_5_NC_4 DE_X_2014_1000 m3_ST_5_NC_4
DE X 2014 1000 m3 ST_5_NC_5 DE_X_2014_1000 m3_ST_5_NC_5
DE X 2014 1000 m3 ST_5_NC_6 DE_X_2014_1000 m3_ST_5_NC_6
DE X 2014 1000 m3 ST_5_NC_7 DE_X_2014_1000 m3_ST_5_NC_7
DE X 2014 1000 NAC ST_1_2_C DE_X_2014_1000 NAC_ST_1_2_C
DE X 2014 1000 NAC ST_1_2_C_1 DE_X_2014_1000 NAC_ST_1_2_C_1
DE X 2014 1000 NAC ST_1_2_C_1_1 DE_X_2014_1000 NAC_ST_1_2_C_1_1
DE X 2014 1000 NAC ST_1_2_C_2_1 DE_X_2014_1000 NAC_ST_1_2_C_2_1
DE X 2014 1000 NAC ST_1_2_C_2 DE_X_2014_1000 NAC_ST_1_2_C_2
DE X 2014 1000 NAC ST_1_2_C_1_2 DE_X_2014_1000 NAC_ST_1_2_C_1_2
DE X 2014 1000 NAC ST_1_2_C_2_2 DE_X_2014_1000 NAC_ST_1_2_C_2_2
DE X 2014 1000 NAC ST_1_2_C_3 DE_X_2014_1000 NAC_ST_1_2_C_3
DE X 2014 1000 NAC ST_1_2_C_1_3 DE_X_2014_1000 NAC_ST_1_2_C_1_3
DE X 2014 1000 NAC ST_1_2_C_2_3 DE_X_2014_1000 NAC_ST_1_2_C_2_3
DE X 2014 1000 NAC ST_1_2_NC DE_X_2014_1000 NAC_ST_1_2_NC
DE X 2014 1000 NAC ST_1_2_NC_1 DE_X_2014_1000 NAC_ST_1_2_NC_1
DE X 2014 1000 NAC ST_1_2_NC_1_1 DE_X_2014_1000 NAC_ST_1_2_NC_1_1
DE X 2014 1000 NAC ST_1_2_NC_2_1 DE_X_2014_1000 NAC_ST_1_2_NC_2_1
DE X 2014 1000 NAC ST_1_2_NC_2 DE_X_2014_1000 NAC_ST_1_2_NC_2
DE X 2014 1000 NAC ST_1_2_NC_1_2 DE_X_2014_1000 NAC_ST_1_2_NC_1_2
DE X 2014 1000 NAC ST_1_2_NC_2_2 DE_X_2014_1000 NAC_ST_1_2_NC_2_2
DE X 2014 1000 NAC ST_1_2_NC_3 DE_X_2014_1000 NAC_ST_1_2_NC_3
DE X 2014 1000 NAC ST_1_2_NC_1_3 DE_X_2014_1000 NAC_ST_1_2_NC_1_3
DE X 2014 1000 NAC ST_1_2_NC_2_3 DE_X_2014_1000 NAC_ST_1_2_NC_2_3
DE X 2014 1000 NAC ST_1_2_NC_4 DE_X_2014_1000 NAC_ST_1_2_NC_4
DE X 2014 1000 NAC ST_1_2_NC_5 DE_X_2014_1000 NAC_ST_1_2_NC_5
DE X 2014 1000 NAC ST_5_C DE_X_2014_1000 NAC_ST_5_C
DE X 2014 1000 NAC ST_5_C_1 DE_X_2014_1000 NAC_ST_5_C_1
DE X 2014 1000 NAC ST_5_C_2 DE_X_2014_1000 NAC_ST_5_C_2
DE X 2014 1000 NAC ST_5_NC DE_X_2014_1000 NAC_ST_5_NC
DE X 2014 1000 NAC ST_5_NC_1 DE_X_2014_1000 NAC_ST_5_NC_1
DE X 2014 1000 NAC ST_5_NC_2 DE_X_2014_1000 NAC_ST_5_NC_2
DE X 2014 1000 NAC ST_5_NC_3 DE_X_2014_1000 NAC_ST_5_NC_3
DE X 2014 1000 NAC ST_5_NC_4 DE_X_2014_1000 NAC_ST_5_NC_4
DE X 2014 1000 NAC ST_5_NC_5 DE_X_2014_1000 NAC_ST_5_NC_5
DE X 2014 1000 NAC ST_5_NC_6 DE_X_2014_1000 NAC_ST_5_NC_6
DE X 2014 1000 NAC ST_5_NC_7 DE_X_2014_1000 NAC_ST_5_NC_7
DE EX_M 2014 1000 m3 1 DE_EX_M_2014_1000 m3_1
DE EX_M 2014 1000 m3 1_1 DE_EX_M_2014_1000 m3_1_1
DE EX_M 2014 1000 m3 1_2 DE_EX_M_2014_1000 m3_1_2
DE EX_M 2014 1000 m3 1_2_C DE_EX_M_2014_1000 m3_1_2_C
DE EX_M 2014 1000 m3 1_2_NC DE_EX_M_2014_1000 m3_1_2_NC
DE EX_M 2014 1000 m3 1_2_NC_T DE_EX_M_2014_1000 m3_1_2_NC_T
DE EX_M 2014 1000 mt 2 DE_EX_M_2014_1000 mt_2
DE EX_M 2014 1000 m3 3 DE_EX_M_2014_1000 m3_3
DE EX_M 2014 1000 m3 3_1 DE_EX_M_2014_1000 m3_3_1
DE EX_M 2014 1000 m3 3_2 DE_EX_M_2014_1000 m3_3_2
DE EX_M 2014 1000 mt 4 DE_EX_M_2014_1000 mt_4
DE EX_M 2014 1000 mt 4_1 DE_EX_M_2014_1000 mt_4_1
DE EX_M 2014 1000 mt 4_2 DE_EX_M_2014_1000 mt_4_2
DE EX_M 2014 1000 m3 5 DE_EX_M_2014_1000 m3_5
DE EX_M 2014 1000 m3 5_C DE_EX_M_2014_1000 m3_5_C
DE EX_M 2014 1000 m3 5_NC DE_EX_M_2014_1000 m3_5_NC
DE EX_M 2014 1000 m3 5_NC_T DE_EX_M_2014_1000 m3_5_NC_T
DE EX_M 2014 1000 m3 6 DE_EX_M_2014_1000 m3_6
DE EX_M 2014 1000 m3 6_1 DE_EX_M_2014_1000 m3_6_1
DE EX_M 2014 1000 m3 6_1_C DE_EX_M_2014_1000 m3_6_1_C
DE EX_M 2014 1000 m3 6_1_NC DE_EX_M_2014_1000 m3_6_1_NC
DE EX_M 2014 1000 m3 6_1_NC_T DE_EX_M_2014_1000 m3_6_1_NC_T
DE EX_M 2014 1000 m3 6_2 DE_EX_M_2014_1000 m3_6_2
DE EX_M 2014 1000 m3 6_2_C DE_EX_M_2014_1000 m3_6_2_C
DE EX_M 2014 1000 m3 6_2_NC DE_EX_M_2014_1000 m3_6_2_NC
DE EX_M 2014 1000 m3 6_2_NC_T DE_EX_M_2014_1000 m3_6_2_NC_T
DE EX_M 2014 1000 m3 6_3 DE_EX_M_2014_1000 m3_6_3
DE EX_M 2014 1000 m3 6_3_1 DE_EX_M_2014_1000 m3_6_3_1
DE EX_M 2014 1000 m3 6_4 DE_EX_M_2014_1000 m3_6_4
DE EX_M 2014 1000 m3 6_4_1 DE_EX_M_2014_1000 m3_6_4_1
DE EX_M 2014 1000 m3 6_4_2 DE_EX_M_2014_1000 m3_6_4_2
DE EX_M 2014 1000 m3 6_4_3 DE_EX_M_2014_1000 m3_6_4_3
DE EX_M 2014 1000 mt 7 DE_EX_M_2014_1000 mt_7
DE EX_M 2014 1000 mt 7_1 DE_EX_M_2014_1000 mt_7_1
DE EX_M 2014 1000 mt 7_2 DE_EX_M_2014_1000 mt_7_2
DE EX_M 2014 1000 mt 7_3 DE_EX_M_2014_1000 mt_7_3
DE EX_M 2014 1000 mt 7_3_1 DE_EX_M_2014_1000 mt_7_3_1
DE EX_M 2014 1000 mt 7_3_2 DE_EX_M_2014_1000 mt_7_3_2
DE EX_M 2014 1000 mt 7_3_3 DE_EX_M_2014_1000 mt_7_3_3
DE EX_M 2014 1000 mt 7_3_4 DE_EX_M_2014_1000 mt_7_3_4
DE EX_M 2014 1000 mt 7_4 DE_EX_M_2014_1000 mt_7_4
DE EX_M 2014 1000 mt 8 DE_EX_M_2014_1000 mt_8
DE EX_M 2014 1000 mt 8_1 DE_EX_M_2014_1000 mt_8_1
DE EX_M 2014 1000 mt 8_2 DE_EX_M_2014_1000 mt_8_2
DE EX_M 2014 1000 mt 9 DE_EX_M_2014_1000 mt_9
DE EX_M 2014 1000 mt 10 DE_EX_M_2014_1000 mt_10
DE EX_M 2014 1000 mt 10_1 DE_EX_M_2014_1000 mt_10_1
DE EX_M 2014 1000 mt 10_1_1 DE_EX_M_2014_1000 mt_10_1_1
DE EX_M 2014 1000 mt 10_1_2 DE_EX_M_2014_1000 mt_10_1_2
DE EX_M 2014 1000 mt 10_1_3 DE_EX_M_2014_1000 mt_10_1_3
DE EX_M 2014 1000 mt 10_1_4 DE_EX_M_2014_1000 mt_10_1_4
DE EX_M 2014 1000 mt 10_2 DE_EX_M_2014_1000 mt_10_2
DE EX_M 2014 1000 mt 10_3 DE_EX_M_2014_1000 mt_10_3
DE EX_M 2014 1000 mt 10_3_1 DE_EX_M_2014_1000 mt_10_3_1
DE EX_M 2014 1000 mt 10_3_2 DE_EX_M_2014_1000 mt_10_3_2
DE EX_M 2014 1000 mt 10_3_3 DE_EX_M_2014_1000 mt_10_3_3
DE EX_M 2014 1000 mt 10_3_4 DE_EX_M_2014_1000 mt_10_3_4
DE EX_M 2014 1000 mt 10_4 DE_EX_M_2014_1000 mt_10_4
DE EX_M 2014 1000 NAC 1 DE_EX_M_2014_1000 NAC_1
DE EX_M 2014 1000 NAC 1_1 DE_EX_M_2014_1000 NAC_1_1
DE EX_M 2014 1000 NAC 1_2 DE_EX_M_2014_1000 NAC_1_2
DE EX_M 2014 1000 NAC 1_2_C DE_EX_M_2014_1000 NAC_1_2_C
DE EX_M 2014 1000 NAC 1_2_NC DE_EX_M_2014_1000 NAC_1_2_NC
DE EX_M 2014 1000 NAC 1_2_NC_T DE_EX_M_2014_1000 NAC_1_2_NC_T
DE EX_M 2014 1000 NAC 2 DE_EX_M_2014_1000 NAC_2
DE EX_M 2014 1000 NAC 3 DE_EX_M_2014_1000 NAC_3
DE EX_M 2014 1000 NAC 3_1 DE_EX_M_2014_1000 NAC_3_1
DE EX_M 2014 1000 NAC 3_2 DE_EX_M_2014_1000 NAC_3_2
DE EX_M 2014 1000 NAC 4 DE_EX_M_2014_1000 NAC_4
DE EX_M 2014 1000 NAC 4_1 DE_EX_M_2014_1000 NAC_4_1
DE EX_M 2014 1000 NAC 4_2 DE_EX_M_2014_1000 NAC_4_2
DE EX_M 2014 1000 NAC 5 DE_EX_M_2014_1000 NAC_5
DE EX_M 2014 1000 NAC 5_C DE_EX_M_2014_1000 NAC_5_C
DE EX_M 2014 1000 NAC 5_NC DE_EX_M_2014_1000 NAC_5_NC
DE EX_M 2014 1000 NAC 5_NC_T DE_EX_M_2014_1000 NAC_5_NC_T
DE EX_M 2014 1000 NAC 6 DE_EX_M_2014_1000 NAC_6
DE EX_M 2014 1000 NAC 6_1 DE_EX_M_2014_1000 NAC_6_1
DE EX_M 2014 1000 NAC 6_1_C DE_EX_M_2014_1000 NAC_6_1_C
DE EX_M 2014 1000 NAC 6_1_NC DE_EX_M_2014_1000 NAC_6_1_NC
DE EX_M 2014 1000 NAC 6_1_NC_T DE_EX_M_2014_1000 NAC_6_1_NC_T
DE EX_M 2014 1000 NAC 6_2 DE_EX_M_2014_1000 NAC_6_2
DE EX_M 2014 1000 NAC 6_2_C DE_EX_M_2014_1000 NAC_6_2_C
DE EX_M 2014 1000 NAC 6_2_NC DE_EX_M_2014_1000 NAC_6_2_NC
DE EX_M 2014 1000 NAC 6_2_NC_T DE_EX_M_2014_1000 NAC_6_2_NC_T
DE EX_M 2014 1000 NAC 6_3 DE_EX_M_2014_1000 NAC_6_3
DE EX_M 2014 1000 NAC 6_3_1 DE_EX_M_2014_1000 NAC_6_3_1
DE EX_M 2014 1000 NAC 6_4 DE_EX_M_2014_1000 NAC_6_4
DE EX_M 2014 1000 NAC 6_4_1 DE_EX_M_2014_1000 NAC_6_4_1
DE EX_M 2014 1000 NAC 6_4_2 DE_EX_M_2014_1000 NAC_6_4_2
DE EX_M 2014 1000 NAC 6_4_3 DE_EX_M_2014_1000 NAC_6_4_3
DE EX_M 2014 1000 NAC 7 DE_EX_M_2014_1000 NAC_7
DE EX_M 2014 1000 NAC 7_1 DE_EX_M_2014_1000 NAC_7_1
DE EX_M 2014 1000 NAC 7_2 DE_EX_M_2014_1000 NAC_7_2
DE EX_M 2014 1000 NAC 7_3 DE_EX_M_2014_1000 NAC_7_3
DE EX_M 2014 1000 NAC 7_3_1 DE_EX_M_2014_1000 NAC_7_3_1
DE EX_M 2014 1000 NAC 7_3_2 DE_EX_M_2014_1000 NAC_7_3_2
DE EX_M 2014 1000 NAC 7_3_3 DE_EX_M_2014_1000 NAC_7_3_3
DE EX_M 2014 1000 NAC 7_3_4 DE_EX_M_2014_1000 NAC_7_3_4
DE EX_M 2014 1000 NAC 7_4 DE_EX_M_2014_1000 NAC_7_4
DE EX_M 2014 1000 NAC 8 DE_EX_M_2014_1000 NAC_8
DE EX_M 2014 1000 NAC 8_1 DE_EX_M_2014_1000 NAC_8_1
DE EX_M 2014 1000 NAC 8_2 DE_EX_M_2014_1000 NAC_8_2
DE EX_M 2014 1000 NAC 9 DE_EX_M_2014_1000 NAC_9
DE EX_M 2014 1000 NAC 10 DE_EX_M_2014_1000 NAC_10
DE EX_M 2014 1000 NAC 10_1 DE_EX_M_2014_1000 NAC_10_1
DE EX_M 2014 1000 NAC 10_1_1 DE_EX_M_2014_1000 NAC_10_1_1
DE EX_M 2014 1000 NAC 10_1_2 DE_EX_M_2014_1000 NAC_10_1_2
DE EX_M 2014 1000 NAC 10_1_3 DE_EX_M_2014_1000 NAC_10_1_3
DE EX_M 2014 1000 NAC 10_1_4 DE_EX_M_2014_1000 NAC_10_1_4
DE EX_M 2014 1000 NAC 10_2 DE_EX_M_2014_1000 NAC_10_2
DE EX_M 2014 1000 NAC 10_3 DE_EX_M_2014_1000 NAC_10_3
DE EX_M 2014 1000 NAC 10_3_1 DE_EX_M_2014_1000 NAC_10_3_1
DE EX_M 2014 1000 NAC 10_3_2 DE_EX_M_2014_1000 NAC_10_3_2
DE EX_M 2014 1000 NAC 10_3_3 DE_EX_M_2014_1000 NAC_10_3_3
DE EX_M 2014 1000 NAC 10_3_4 DE_EX_M_2014_1000 NAC_10_3_4
DE EX_M 2014 1000 NAC 10_4 DE_EX_M_2014_1000 NAC_10_4
DE EX_X 2014 1000 m3 1 DE_EX_X_2014_1000 m3_1
DE EX_X 2014 1000 m3 1_1 DE_EX_X_2014_1000 m3_1_1
DE EX_X 2014 1000 m3 1_2 DE_EX_X_2014_1000 m3_1_2
DE EX_X 2014 1000 m3 1_2_C DE_EX_X_2014_1000 m3_1_2_C
DE EX_X 2014 1000 m3 1_2_NC DE_EX_X_2014_1000 m3_1_2_NC
DE EX_X 2014 1000 m3 1_2_NC_T DE_EX_X_2014_1000 m3_1_2_NC_T
DE EX_X 2014 1000 mt 2 DE_EX_X_2014_1000 mt_2
DE EX_X 2014 1000 m3 3 DE_EX_X_2014_1000 m3_3
DE EX_X 2014 1000 m3 3_1 DE_EX_X_2014_1000 m3_3_1
DE EX_X 2014 1000 m3 3_2 DE_EX_X_2014_1000 m3_3_2
DE EX_X 2014 1000 mt 4 DE_EX_X_2014_1000 mt_4
DE EX_X 2014 1000 mt 4_1 DE_EX_X_2014_1000 mt_4_1
DE EX_X 2014 1000 mt 4_2 DE_EX_X_2014_1000 mt_4_2
DE EX_X 2014 1000 m3 5 DE_EX_X_2014_1000 m3_5
DE EX_X 2014 1000 m3 5_C DE_EX_X_2014_1000 m3_5_C
DE EX_X 2014 1000 m3 5_NC DE_EX_X_2014_1000 m3_5_NC
DE EX_X 2014 1000 m3 5_NC_T DE_EX_X_2014_1000 m3_5_NC_T
DE EX_X 2014 1000 m3 6 DE_EX_X_2014_1000 m3_6
DE EX_X 2014 1000 m3 6_1 DE_EX_X_2014_1000 m3_6_1
DE EX_X 2014 1000 m3 6_1_C DE_EX_X_2014_1000 m3_6_1_C
DE EX_X 2014 1000 m3 6_1_NC DE_EX_X_2014_1000 m3_6_1_NC
DE EX_X 2014 1000 m3 6_1_NC_T DE_EX_X_2014_1000 m3_6_1_NC_T
DE EX_X 2014 1000 m3 6_2 DE_EX_X_2014_1000 m3_6_2
DE EX_X 2014 1000 m3 6_2_C DE_EX_X_2014_1000 m3_6_2_C
DE EX_X 2014 1000 m3 6_2_NC DE_EX_X_2014_1000 m3_6_2_NC
DE EX_X 2014 1000 m3 6_2_NC_T DE_EX_X_2014_1000 m3_6_2_NC_T
DE EX_X 2014 1000 m3 6_3 DE_EX_X_2014_1000 m3_6_3
DE EX_X 2014 1000 m3 6_3_1 DE_EX_X_2014_1000 m3_6_3_1
DE EX_X 2014 1000 m3 6_4 DE_EX_X_2014_1000 m3_6_4
DE EX_X 2014 1000 m3 6_4_1 DE_EX_X_2014_1000 m3_6_4_1
DE EX_X 2014 1000 m3 6_4_2 DE_EX_X_2014_1000 m3_6_4_2
DE EX_X 2014 1000 m3 6_4_3 DE_EX_X_2014_1000 m3_6_4_3
DE EX_X 2014 1000 mt 7 DE_EX_X_2014_1000 mt_7
DE EX_X 2014 1000 mt 7_1 DE_EX_X_2014_1000 mt_7_1
DE EX_X 2014 1000 mt 7_2 DE_EX_X_2014_1000 mt_7_2
DE EX_X 2014 1000 mt 7_3 DE_EX_X_2014_1000 mt_7_3
DE EX_X 2014 1000 mt 7_3_1 DE_EX_X_2014_1000 mt_7_3_1
DE EX_X 2014 1000 mt 7_3_2 DE_EX_X_2014_1000 mt_7_3_2
DE EX_X 2014 1000 mt 7_3_3 DE_EX_X_2014_1000 mt_7_3_3
DE EX_X 2014 1000 mt 7_3_4 DE_EX_X_2014_1000 mt_7_3_4
DE EX_X 2014 1000 mt 7_4 DE_EX_X_2014_1000 mt_7_4
DE EX_X 2014 1000 mt 8 DE_EX_X_2014_1000 mt_8
DE EX_X 2014 1000 mt 8_1 DE_EX_X_2014_1000 mt_8_1
DE EX_X 2014 1000 mt 8_2 DE_EX_X_2014_1000 mt_8_2
DE EX_X 2014 1000 mt 9 DE_EX_X_2014_1000 mt_9
DE EX_X 2014 1000 mt 10 DE_EX_X_2014_1000 mt_10
DE EX_X 2014 1000 mt 10_1 DE_EX_X_2014_1000 mt_10_1
DE EX_X 2014 1000 mt 10_1_1 DE_EX_X_2014_1000 mt_10_1_1
DE EX_X 2014 1000 mt 10_1_2 DE_EX_X_2014_1000 mt_10_1_2
DE EX_X 2014 1000 mt 10_1_3 DE_EX_X_2014_1000 mt_10_1_3
DE EX_X 2014 1000 mt 10_1_4 DE_EX_X_2014_1000 mt_10_1_4
DE EX_X 2014 1000 mt 10_2 DE_EX_X_2014_1000 mt_10_2
DE EX_X 2014 1000 mt 10_3 DE_EX_X_2014_1000 mt_10_3
DE EX_X 2014 1000 mt 10_3_1 DE_EX_X_2014_1000 mt_10_3_1
DE EX_X 2014 1000 mt 10_3_2 DE_EX_X_2014_1000 mt_10_3_2
DE EX_X 2014 1000 mt 10_3_3 DE_EX_X_2014_1000 mt_10_3_3
DE EX_X 2014 1000 mt 10_3_4 DE_EX_X_2014_1000 mt_10_3_4
DE EX_X 2014 1000 mt 10_4 DE_EX_X_2014_1000 mt_10_4
DE EX_X 2014 1000 NAC 1 DE_EX_X_2014_1000 NAC_1
DE EX_X 2014 1000 NAC 1_1 DE_EX_X_2014_1000 NAC_1_1
DE EX_X 2014 1000 NAC 1_2 DE_EX_X_2014_1000 NAC_1_2
DE EX_X 2014 1000 NAC 1_2_C DE_EX_X_2014_1000 NAC_1_2_C
DE EX_X 2014 1000 NAC 1_2_NC DE_EX_X_2014_1000 NAC_1_2_NC
DE EX_X 2014 1000 NAC 1_2_NC_T DE_EX_X_2014_1000 NAC_1_2_NC_T
DE EX_X 2014 1000 NAC 2 DE_EX_X_2014_1000 NAC_2
DE EX_X 2014 1000 NAC 3 DE_EX_X_2014_1000 NAC_3
DE EX_X 2014 1000 NAC 3_1 DE_EX_X_2014_1000 NAC_3_1
DE EX_X 2014 1000 NAC 3_2 DE_EX_X_2014_1000 NAC_3_2
DE EX_X 2014 1000 NAC 4 DE_EX_X_2014_1000 NAC_4
DE EX_X 2014 1000 NAC 4_1 DE_EX_X_2014_1000 NAC_4_1
DE EX_X 2014 1000 NAC 4_2 DE_EX_X_2014_1000 NAC_4_2
DE EX_X 2014 1000 NAC 5 DE_EX_X_2014_1000 NAC_5
DE EX_X 2014 1000 NAC 5_C DE_EX_X_2014_1000 NAC_5_C
DE EX_X 2014 1000 NAC 5_NC DE_EX_X_2014_1000 NAC_5_NC
DE EX_X 2014 1000 NAC 5_NC_T DE_EX_X_2014_1000 NAC_5_NC_T
DE EX_X 2014 1000 NAC 6 DE_EX_X_2014_1000 NAC_6
DE EX_X 2014 1000 NAC 6_1 DE_EX_X_2014_1000 NAC_6_1
DE EX_X 2014 1000 NAC 6_1_C DE_EX_X_2014_1000 NAC_6_1_C
DE EX_X 2014 1000 NAC 6_1_NC DE_EX_X_2014_1000 NAC_6_1_NC
DE EX_X 2014 1000 NAC 6_1_NC_T DE_EX_X_2014_1000 NAC_6_1_NC_T
DE EX_X 2014 1000 NAC 6_2 DE_EX_X_2014_1000 NAC_6_2
DE EX_X 2014 1000 NAC 6_2_C DE_EX_X_2014_1000 NAC_6_2_C
DE EX_X 2014 1000 NAC 6_2_NC DE_EX_X_2014_1000 NAC_6_2_NC
DE EX_X 2014 1000 NAC 6_2_NC_T DE_EX_X_2014_1000 NAC_6_2_NC_T
DE EX_X 2014 1000 NAC 6_3 DE_EX_X_2014_1000 NAC_6_3
DE EX_X 2014 1000 NAC 6_3_1 DE_EX_X_2014_1000 NAC_6_3_1
DE EX_X 2014 1000 NAC 6_4 DE_EX_X_2014_1000 NAC_6_4
DE EX_X 2014 1000 NAC 6_4_1 DE_EX_X_2014_1000 NAC_6_4_1
DE EX_X 2014 1000 NAC 6_4_2 DE_EX_X_2014_1000 NAC_6_4_2
DE EX_X 2014 1000 NAC 6_4_3 DE_EX_X_2014_1000 NAC_6_4_3
DE EX_X 2014 1000 NAC 7 DE_EX_X_2014_1000 NAC_7
DE EX_X 2014 1000 NAC 7_1 DE_EX_X_2014_1000 NAC_7_1
DE EX_X 2014 1000 NAC 7_2 DE_EX_X_2014_1000 NAC_7_2
DE EX_X 2014 1000 NAC 7_3 DE_EX_X_2014_1000 NAC_7_3
DE EX_X 2014 1000 NAC 7_3_1 DE_EX_X_2014_1000 NAC_7_3_1
DE EX_X 2014 1000 NAC 7_3_2 DE_EX_X_2014_1000 NAC_7_3_2
DE EX_X 2014 1000 NAC 7_3_3 DE_EX_X_2014_1000 NAC_7_3_3
DE EX_X 2014 1000 NAC 7_3_4 DE_EX_X_2014_1000 NAC_7_3_4
DE EX_X 2014 1000 NAC 7_4 DE_EX_X_2014_1000 NAC_7_4
DE EX_X 2014 1000 NAC 8 DE_EX_X_2014_1000 NAC_8
DE EX_X 2014 1000 NAC 8_1 DE_EX_X_2014_1000 NAC_8_1
DE EX_X 2014 1000 NAC 8_2 DE_EX_X_2014_1000 NAC_8_2
DE EX_X 2014 1000 NAC 9 DE_EX_X_2014_1000 NAC_9
DE EX_X 2014 1000 NAC 10 DE_EX_X_2014_1000 NAC_10
DE EX_X 2014 1000 NAC 10_1 DE_EX_X_2014_1000 NAC_10_1
DE EX_X 2014 1000 NAC 10_1_1 DE_EX_X_2014_1000 NAC_10_1_1
DE EX_X 2014 1000 NAC 10_1_2 DE_EX_X_2014_1000 NAC_10_1_2
DE EX_X 2014 1000 NAC 10_1_3 DE_EX_X_2014_1000 NAC_10_1_3
DE EX_X 2014 1000 NAC 10_1_4 DE_EX_X_2014_1000 NAC_10_1_4
DE EX_X 2014 1000 NAC 10_2 DE_EX_X_2014_1000 NAC_10_2
DE EX_X 2014 1000 NAC 10_3 DE_EX_X_2014_1000 NAC_10_3
DE EX_X 2014 1000 NAC 10_3_1 DE_EX_X_2014_1000 NAC_10_3_1
DE EX_X 2014 1000 NAC 10_3_2 DE_EX_X_2014_1000 NAC_10_3_2
DE EX_X 2014 1000 NAC 10_3_3 DE_EX_X_2014_1000 NAC_10_3_3
DE EX_X 2014 1000 NAC 10_3_4 DE_EX_X_2014_1000 NAC_10_3_4
DE EX_X 2014 1000 NAC 10_4 DE_EX_X_2014_1000 NAC_10_4
DE P 2014 1000 m3 EU2_1 DE_P_2014_1000 m3_EU2_1
DE P 2014 1000 m3 EU2_1_C DE_P_2014_1000 m3_EU2_1_C
DE P 2014 1000 m3 EU2_1_NC DE_P_2014_1000 m3_EU2_1_NC
DE P 2014 1000 m3 EU2_1_1 DE_P_2014_1000 m3_EU2_1_1
DE P 2014 1000 m3 EU2_1_1_C DE_P_2014_1000 m3_EU2_1_1_C
DE P 2014 1000 m3 EU2_1_1_NC DE_P_2014_1000 m3_EU2_1_1_NC
DE P 2014 1000 m3 EU2_1_2 DE_P_2014_1000 m3_EU2_1_2
DE P 2014 1000 m3 EU2_1_2_C DE_P_2014_1000 m3_EU2_1_2_C
DE P 2014 1000 m3 EU2_1_2_NC DE_P_2014_1000 m3_EU2_1_2_NC
DE P 2014 1000 m3 EU2_1_3 DE_P_2014_1000 m3_EU2_1_3
DE P 2014 1000 m3 EU2_1_3_C DE_P_2014_1000 m3_EU2_1_3_C
DE P 2014 1000 m3 EU2_1_3_NC DE_P_2014_1000 m3_EU2_1_3_NC
DE P.OB 2014 1000 m3 1 DE_P.OB_2014_1000 m3_1
DE P.OB 2014 1000 m3 1_C DE_P.OB_2014_1000 m3_1_C
DE P.OB 2014 1000 m3 1_NC DE_P.OB_2014_1000 m3_1_NC
DE P.OB 2014 1000 m3 1_1 DE_P.OB_2014_1000 m3_1_1
DE P.OB 2014 1000 m3 1_1_C DE_P.OB_2014_1000 m3_1_1_C
DE P.OB 2014 1000 m3 1_1_NC DE_P.OB_2014_1000 m3_1_1_NC
DE P.OB 2014 1000 m3 1_2 DE_P.OB_2014_1000 m3_1_2
DE P.OB 2014 1000 m3 1_2_C DE_P.OB_2014_1000 m3_1_2_C
DE P.OB 2014 1000 m3 1_2_NC DE_P.OB_2014_1000 m3_1_2_NC
DE P.OB 2014 1000 m3 1_2_1 DE_P.OB_2014_1000 m3_1_2_1
DE P.OB 2014 1000 m3 1_2_1_C DE_P.OB_2014_1000 m3_1_2_1_C
DE P.OB 2014 1000 m3 1_2_1_NC DE_P.OB_2014_1000 m3_1_2_1_NC
DE P.OB 2014 1000 m3 1_2_2 DE_P.OB_2014_1000 m3_1_2_2
DE P.OB 2014 1000 m3 1_2_2_C DE_P.OB_2014_1000 m3_1_2_2_C
DE P.OB 2014 1000 m3 1_2_2_NC DE_P.OB_2014_1000 m3_1_2_2_NC
DE P.OB 2014 1000 m3 1_2_3 DE_P.OB_2014_1000 m3_1_2_3
DE P.OB 2014 1000 m3 1_2_3_C DE_P.OB_2014_1000 m3_1_2_3_C
DE P.OB 2014 1000 m3 1_2_3_NC DE_P.OB_2014_1000 m3_1_2_3_NC
DE P 2013 1000 m3 1 DE_P_2013_1000 m3_1
DE P 2013 1000 m3 1_C DE_P_2013_1000 m3_1_C
DE P 2013 1000 m3 1_NC DE_P_2013_1000 m3_1_NC
DE P 2013 1000 m3 1_1 DE_P_2013_1000 m3_1_1
DE P 2013 1000 m3 1_1_C DE_P_2013_1000 m3_1_1_C
DE P 2013 1000 m3 1_1_NC DE_P_2013_1000 m3_1_1_NC
DE P 2013 1000 m3 1_2 DE_P_2013_1000 m3_1_2
DE P 2013 1000 m3 1_2_C DE_P_2013_1000 m3_1_2_C
DE P 2013 1000 m3 1_2_NC DE_P_2013_1000 m3_1_2_NC
DE P 2013 1000 m3 1_2_1 DE_P_2013_1000 m3_1_2_1
DE P 2013 1000 m3 1_2_1_C DE_P_2013_1000 m3_1_2_1_C
DE P 2013 1000 m3 1_2_1_NC DE_P_2013_1000 m3_1_2_1_NC
DE P 2013 1000 m3 1_2_2 DE_P_2013_1000 m3_1_2_2
DE P 2013 1000 m3 1_2_2_C DE_P_2013_1000 m3_1_2_2_C
DE P 2013 1000 m3 1_2_2_NC DE_P_2013_1000 m3_1_2_2_NC
DE P 2013 1000 m3 1_2_3 DE_P_2013_1000 m3_1_2_3
DE P 2013 1000 m3 1_2_3_C DE_P_2013_1000 m3_1_2_3_C
DE P 2013 1000 m3 1_2_3_NC DE_P_2013_1000 m3_1_2_3_NC
DE P 2013 1000 mt 2 DE_P_2013_1000 mt_2
DE P 2013 1000 m3 3 DE_P_2013_1000 m3_3
DE P 2013 1000 m3 3_1 DE_P_2013_1000 m3_3_1
DE P 2013 1000 m3 3_2 DE_P_2013_1000 m3_3_2
DE P 2013 1000 mt 4 DE_P_2013_1000 mt_4
DE P 2013 1000 mt 4_1 DE_P_2013_1000 mt_4_1
DE P 2013 1000 mt 4_2 DE_P_2013_1000 mt_4_2
DE P 2013 1000 m3 5 DE_P_2013_1000 m3_5
DE P 2013 1000 m3 5_C DE_P_2013_1000 m3_5_C
DE P 2013 1000 m3 5_NC DE_P_2013_1000 m3_5_NC
DE P 2013 1000 m3 5_NC_T DE_P_2013_1000 m3_5_NC_T
DE P 2013 1000 m3 6 DE_P_2013_1000 m3_6
DE P 2013 1000 m3 6_1 DE_P_2013_1000 m3_6_1
DE P 2013 1000 m3 6_1_C DE_P_2013_1000 m3_6_1_C
DE P 2013 1000 m3 6_1_NC DE_P_2013_1000 m3_6_1_NC
DE P 2013 1000 m3 6_1_NC_T DE_P_2013_1000 m3_6_1_NC_T
DE P 2013 1000 m3 6_2 DE_P_2013_1000 m3_6_2
DE P 2013 1000 m3 6_2_C DE_P_2013_1000 m3_6_2_C
DE P 2013 1000 m3 6_2_NC DE_P_2013_1000 m3_6_2_NC
DE P 2013 1000 m3 6_2_NC_T DE_P_2013_1000 m3_6_2_NC_T
DE P 2013 1000 m3 6_3 DE_P_2013_1000 m3_6_3
DE P 2013 1000 m3 6_3_1 DE_P_2013_1000 m3_6_3_1
DE P 2013 1000 m3 6_4 DE_P_2013_1000 m3_6_4
DE P 2013 1000 m3 6_4_1 DE_P_2013_1000 m3_6_4_1
DE P 2013 1000 m3 6_4_2 DE_P_2013_1000 m3_6_4_2
DE P 2013 1000 m3 6_4_3 DE_P_2013_1000 m3_6_4_3
DE P 2013 1000 mt 7 DE_P_2013_1000 mt_7
DE P 2013 1000 mt 7_1 DE_P_2013_1000 mt_7_1
DE P 2013 1000 mt 7_2 DE_P_2013_1000 mt_7_2
DE P 2013 1000 mt 7_3 DE_P_2013_1000 mt_7_3
DE P 2013 1000 mt 7_3_1 DE_P_2013_1000 mt_7_3_1
DE P 2013 1000 mt 7_3_2 DE_P_2013_1000 mt_7_3_2
DE P 2013 1000 mt 7_3_3 DE_P_2013_1000 mt_7_3_3
DE P 2013 1000 mt 7_3_4 DE_P_2013_1000 mt_7_3_4
DE P 2013 1000 mt 7_4 DE_P_2013_1000 mt_7_4
DE P 2013 1000 mt 8 DE_P_2013_1000 mt_8
DE P 2013 1000 mt 8_1 DE_P_2013_1000 mt_8_1
DE P 2013 1000 mt 8_2 DE_P_2013_1000 mt_8_2
DE P 2013 1000 mt 9 DE_P_2013_1000 mt_9
DE P 2013 1000 mt 10 DE_P_2013_1000 mt_10
DE P 2013 1000 mt 10_1 DE_P_2013_1000 mt_10_1
DE P 2013 1000 mt 10_1_1 DE_P_2013_1000 mt_10_1_1
DE P 2013 1000 mt 10_1_2 DE_P_2013_1000 mt_10_1_2
DE P 2013 1000 mt 10_1_3 DE_P_2013_1000 mt_10_1_3
DE P 2013 1000 mt 10_1_4 DE_P_2013_1000 mt_10_1_4
DE P 2013 1000 mt 10_2 DE_P_2013_1000 mt_10_2
DE P 2013 1000 mt 10_3 DE_P_2013_1000 mt_10_3
DE P 2013 1000 mt 10_3_1 DE_P_2013_1000 mt_10_3_1
DE P 2013 1000 mt 10_3_2 DE_P_2013_1000 mt_10_3_2
DE P 2013 1000 mt 10_3_3 DE_P_2013_1000 mt_10_3_3
DE P 2013 1000 mt 10_3_4 DE_P_2013_1000 mt_10_3_4
DE P 2013 1000 mt 10_4 DE_P_2013_1000 mt_10_4
DE M 2013 1000 m3 1 DE_M_2013_1000 m3_1
DE M 2013 1000 m3 1_1 DE_M_2013_1000 m3_1_1
DE M 2013 1000 m3 1_2 DE_M_2013_1000 m3_1_2
DE M 2013 1000 m3 1_2_C DE_M_2013_1000 m3_1_2_C
DE M 2013 1000 m3 1_2_NC DE_M_2013_1000 m3_1_2_NC
DE M 2013 1000 m3 1_2_NC_T DE_M_2013_1000 m3_1_2_NC_T
DE M 2013 1000 mt 2 DE_M_2013_1000 mt_2
DE M 2013 1000 m3 3 DE_M_2013_1000 m3_3
DE M 2013 1000 m3 3_1 DE_M_2013_1000 m3_3_1
DE M 2013 1000 m3 3_2 DE_M_2013_1000 m3_3_2
DE M 2013 1000 mt 4 DE_M_2013_1000 mt_4
DE M 2013 1000 mt 4_1 DE_M_2013_1000 mt_4_1
DE M 2013 1000 mt 4_2 DE_M_2013_1000 mt_4_2
DE M 2013 1000 m3 5 DE_M_2013_1000 m3_5
DE M 2013 1000 m3 5_C DE_M_2013_1000 m3_5_C
DE M 2013 1000 m3 5_NC DE_M_2013_1000 m3_5_NC
DE M 2013 1000 m3 5_NC_T DE_M_2013_1000 m3_5_NC_T
DE M 2013 1000 m3 6 DE_M_2013_1000 m3_6
DE M 2013 1000 m3 6_1 DE_M_2013_1000 m3_6_1
DE M 2013 1000 m3 6_1_C DE_M_2013_1000 m3_6_1_C
DE M 2013 1000 m3 6_1_NC DE_M_2013_1000 m3_6_1_NC
DE M 2013 1000 m3 6_1_NC_T DE_M_2013_1000 m3_6_1_NC_T
DE M 2013 1000 m3 6_2 DE_M_2013_1000 m3_6_2
DE M 2013 1000 m3 6_2_C DE_M_2013_1000 m3_6_2_C
DE M 2013 1000 m3 6_2_NC DE_M_2013_1000 m3_6_2_NC
DE M 2013 1000 m3 6_2_NC_T DE_M_2013_1000 m3_6_2_NC_T
DE M 2013 1000 m3 6_3 DE_M_2013_1000 m3_6_3
DE M 2013 1000 m3 6_3_1 DE_M_2013_1000 m3_6_3_1
DE M 2013 1000 m3 6_4 DE_M_2013_1000 m3_6_4
DE M 2013 1000 m3 6_4_1 DE_M_2013_1000 m3_6_4_1
DE M 2013 1000 m3 6_4_2 DE_M_2013_1000 m3_6_4_2
DE M 2013 1000 m3 6_4_3 DE_M_2013_1000 m3_6_4_3
DE M 2013 1000 mt 7 DE_M_2013_1000 mt_7
DE M 2013 1000 mt 7_1 DE_M_2013_1000 mt_7_1
DE M 2013 1000 mt 7_2 DE_M_2013_1000 mt_7_2
DE M 2013 1000 mt 7_3 DE_M_2013_1000 mt_7_3
DE M 2013 1000 mt 7_3_1 DE_M_2013_1000 mt_7_3_1
DE M 2013 1000 mt 7_3_2 DE_M_2013_1000 mt_7_3_2
DE M 2013 1000 mt 7_3_3 DE_M_2013_1000 mt_7_3_3
DE M 2013 1000 mt 7_3_4 DE_M_2013_1000 mt_7_3_4
DE M 2013 1000 mt 7_4 DE_M_2013_1000 mt_7_4
DE M 2013 1000 mt 8 DE_M_2013_1000 mt_8
DE M 2013 1000 mt 8_1 DE_M_2013_1000 mt_8_1
DE M 2013 1000 mt 8_2 DE_M_2013_1000 mt_8_2
DE M 2013 1000 mt 9 DE_M_2013_1000 mt_9
DE M 2013 1000 mt 10 DE_M_2013_1000 mt_10
DE M 2013 1000 mt 10_1 DE_M_2013_1000 mt_10_1
DE M 2013 1000 mt 10_1_1 DE_M_2013_1000 mt_10_1_1
DE M 2013 1000 mt 10_1_2 DE_M_2013_1000 mt_10_1_2
DE M 2013 1000 mt 10_1_3 DE_M_2013_1000 mt_10_1_3
DE M 2013 1000 mt 10_1_4 DE_M_2013_1000 mt_10_1_4
DE M 2013 1000 mt 10_2 DE_M_2013_1000 mt_10_2
DE M 2013 1000 mt 10_3 DE_M_2013_1000 mt_10_3
DE M 2013 1000 mt 10_3_1 DE_M_2013_1000 mt_10_3_1
DE M 2013 1000 mt 10_3_2 DE_M_2013_1000 mt_10_3_2
DE M 2013 1000 mt 10_3_3 DE_M_2013_1000 mt_10_3_3
DE M 2013 1000 mt 10_3_4 DE_M_2013_1000 mt_10_3_4
DE M 2013 1000 mt 10_4 DE_M_2013_1000 mt_10_4
DE M 2013 1000 NAC 1 DE_M_2013_1000 NAC_1
DE M 2013 1000 NAC 1_1 DE_M_2013_1000 NAC_1_1
DE M 2013 1000 NAC 1_2 DE_M_2013_1000 NAC_1_2
DE M 2013 1000 NAC 1_2_C DE_M_2013_1000 NAC_1_2_C
DE M 2013 1000 NAC 1_2_NC DE_M_2013_1000 NAC_1_2_NC
DE M 2013 1000 NAC 1_2_NC_T DE_M_2013_1000 NAC_1_2_NC_T
DE M 2013 1000 NAC 2 DE_M_2013_1000 NAC_2
DE M 2013 1000 NAC 3 DE_M_2013_1000 NAC_3
DE M 2013 1000 NAC 3_1 DE_M_2013_1000 NAC_3_1
DE M 2013 1000 NAC 3_2 DE_M_2013_1000 NAC_3_2
DE M 2013 1000 NAC 4 DE_M_2013_1000 NAC_4
DE M 2013 1000 NAC 4_1 DE_M_2013_1000 NAC_4_1
DE M 2013 1000 NAC 4_2 DE_M_2013_1000 NAC_4_2
DE M 2013 1000 NAC 5 DE_M_2013_1000 NAC_5
DE M 2013 1000 NAC 5_C DE_M_2013_1000 NAC_5_C
DE M 2013 1000 NAC 5_NC DE_M_2013_1000 NAC_5_NC
DE M 2013 1000 NAC 5_NC_T DE_M_2013_1000 NAC_5_NC_T
DE M 2013 1000 NAC 6 DE_M_2013_1000 NAC_6
DE M 2013 1000 NAC 6_1 DE_M_2013_1000 NAC_6_1
DE M 2013 1000 NAC 6_1_C DE_M_2013_1000 NAC_6_1_C
DE M 2013 1000 NAC 6_1_NC DE_M_2013_1000 NAC_6_1_NC
DE M 2013 1000 NAC 6_1_NC_T DE_M_2013_1000 NAC_6_1_NC_T
DE M 2013 1000 NAC 6_2 DE_M_2013_1000 NAC_6_2
DE M 2013 1000 NAC 6_2_C DE_M_2013_1000 NAC_6_2_C
DE M 2013 1000 NAC 6_2_NC DE_M_2013_1000 NAC_6_2_NC
DE M 2013 1000 NAC 6_2_NC_T DE_M_2013_1000 NAC_6_2_NC_T
DE M 2013 1000 NAC 6_3 DE_M_2013_1000 NAC_6_3
DE M 2013 1000 NAC 6_3_1 DE_M_2013_1000 NAC_6_3_1
DE M 2013 1000 NAC 6_4 DE_M_2013_1000 NAC_6_4
DE M 2013 1000 NAC 6_4_1 DE_M_2013_1000 NAC_6_4_1
DE M 2013 1000 NAC 6_4_2 DE_M_2013_1000 NAC_6_4_2
DE M 2013 1000 NAC 6_4_3 DE_M_2013_1000 NAC_6_4_3
DE M 2013 1000 NAC 7 DE_M_2013_1000 NAC_7
DE M 2013 1000 NAC 7_1 DE_M_2013_1000 NAC_7_1
DE M 2013 1000 NAC 7_2 DE_M_2013_1000 NAC_7_2
DE M 2013 1000 NAC 7_3 DE_M_2013_1000 NAC_7_3
DE M 2013 1000 NAC 7_3_1 DE_M_2013_1000 NAC_7_3_1
DE M 2013 1000 NAC 7_3_2 DE_M_2013_1000 NAC_7_3_2
DE M 2013 1000 NAC 7_3_3 DE_M_2013_1000 NAC_7_3_3
DE M 2013 1000 NAC 7_3_4 DE_M_2013_1000 NAC_7_3_4
DE M 2013 1000 NAC 7_4 DE_M_2013_1000 NAC_7_4
DE M 2013 1000 NAC 8 DE_M_2013_1000 NAC_8
DE M 2013 1000 NAC 8_1 DE_M_2013_1000 NAC_8_1
DE M 2013 1000 NAC 8_2 DE_M_2013_1000 NAC_8_2
DE M 2013 1000 NAC 9 DE_M_2013_1000 NAC_9
DE M 2013 1000 NAC 10 DE_M_2013_1000 NAC_10
DE M 2013 1000 NAC 10_1 DE_M_2013_1000 NAC_10_1
DE M 2013 1000 NAC 10_1_1 DE_M_2013_1000 NAC_10_1_1
DE M 2013 1000 NAC 10_1_2 DE_M_2013_1000 NAC_10_1_2
DE M 2013 1000 NAC 10_1_3 DE_M_2013_1000 NAC_10_1_3
DE M 2013 1000 NAC 10_1_4 DE_M_2013_1000 NAC_10_1_4
DE M 2013 1000 NAC 10_2 DE_M_2013_1000 NAC_10_2
DE M 2013 1000 NAC 10_3 DE_M_2013_1000 NAC_10_3
DE M 2013 1000 NAC 10_3_1 DE_M_2013_1000 NAC_10_3_1
DE M 2013 1000 NAC 10_3_2 DE_M_2013_1000 NAC_10_3_2
DE M 2013 1000 NAC 10_3_3 DE_M_2013_1000 NAC_10_3_3
DE M 2013 1000 NAC 10_3_4 DE_M_2013_1000 NAC_10_3_4
DE M 2013 1000 NAC 10_4 DE_M_2013_1000 NAC_10_4
DE X 2013 1000 m3 1 DE_X_2013_1000 m3_1
DE X 2013 1000 m3 1_1 DE_X_2013_1000 m3_1_1
DE X 2013 1000 m3 1_2 DE_X_2013_1000 m3_1_2
DE X 2013 1000 m3 1_2_C DE_X_2013_1000 m3_1_2_C
DE X 2013 1000 m3 1_2_NC DE_X_2013_1000 m3_1_2_NC
DE X 2013 1000 m3 1_2_NC_T DE_X_2013_1000 m3_1_2_NC_T
DE X 2013 1000 mt 2 DE_X_2013_1000 mt_2
DE X 2013 1000 m3 3 DE_X_2013_1000 m3_3
DE X 2013 1000 m3 3_1 DE_X_2013_1000 m3_3_1
DE X 2013 1000 m3 3_2 DE_X_2013_1000 m3_3_2
DE X 2013 1000 mt 4 DE_X_2013_1000 mt_4
DE X 2013 1000 mt 4_1 DE_X_2013_1000 mt_4_1
DE X 2013 1000 mt 4_2 DE_X_2013_1000 mt_4_2
DE X 2013 1000 m3 5 DE_X_2013_1000 m3_5
DE X 2013 1000 m3 5_C DE_X_2013_1000 m3_5_C
DE X 2013 1000 m3 5_NC DE_X_2013_1000 m3_5_NC
DE X 2013 1000 m3 5_NC_T DE_X_2013_1000 m3_5_NC_T
DE X 2013 1000 m3 6 DE_X_2013_1000 m3_6
DE X 2013 1000 m3 6_1 DE_X_2013_1000 m3_6_1
DE X 2013 1000 m3 6_1_C DE_X_2013_1000 m3_6_1_C
DE X 2013 1000 m3 6_1_NC DE_X_2013_1000 m3_6_1_NC
DE X 2013 1000 m3 6_1_NC_T DE_X_2013_1000 m3_6_1_NC_T
DE X 2013 1000 m3 6_2 DE_X_2013_1000 m3_6_2
DE X 2013 1000 m3 6_2_C DE_X_2013_1000 m3_6_2_C
DE X 2013 1000 m3 6_2_NC DE_X_2013_1000 m3_6_2_NC
DE X 2013 1000 m3 6_2_NC_T DE_X_2013_1000 m3_6_2_NC_T
DE X 2013 1000 m3 6_3 DE_X_2013_1000 m3_6_3
DE X 2013 1000 m3 6_3_1 DE_X_2013_1000 m3_6_3_1
DE X 2013 1000 m3 6_4 DE_X_2013_1000 m3_6_4
DE X 2013 1000 m3 6_4_1 DE_X_2013_1000 m3_6_4_1
DE X 2013 1000 m3 6_4_2 DE_X_2013_1000 m3_6_4_2
DE X 2013 1000 m3 6_4_3 DE_X_2013_1000 m3_6_4_3
DE X 2013 1000 mt 7 DE_X_2013_1000 mt_7
DE X 2013 1000 mt 7_1 DE_X_2013_1000 mt_7_1
DE X 2013 1000 mt 7_2 DE_X_2013_1000 mt_7_2
DE X 2013 1000 mt 7_3 DE_X_2013_1000 mt_7_3
DE X 2013 1000 mt 7_3_1 DE_X_2013_1000 mt_7_3_1
DE X 2013 1000 mt 7_3_2 DE_X_2013_1000 mt_7_3_2
DE X 2013 1000 mt 7_3_3 DE_X_2013_1000 mt_7_3_3
DE X 2013 1000 mt 7_3_4 DE_X_2013_1000 mt_7_3_4
DE X 2013 1000 mt 7_4 DE_X_2013_1000 mt_7_4
DE X 2013 1000 mt 8 DE_X_2013_1000 mt_8
DE X 2013 1000 mt 8_1 DE_X_2013_1000 mt_8_1
DE X 2013 1000 mt 8_2 DE_X_2013_1000 mt_8_2
DE X 2013 1000 mt 9 DE_X_2013_1000 mt_9
DE X 2013 1000 mt 10 DE_X_2013_1000 mt_10
DE X 2013 1000 mt 10_1 DE_X_2013_1000 mt_10_1
DE X 2013 1000 mt 10_1_1 DE_X_2013_1000 mt_10_1_1
DE X 2013 1000 mt 10_1_2 DE_X_2013_1000 mt_10_1_2
DE X 2013 1000 mt 10_1_3 DE_X_2013_1000 mt_10_1_3
DE X 2013 1000 mt 10_1_4 DE_X_2013_1000 mt_10_1_4
DE X 2013 1000 mt 10_2 DE_X_2013_1000 mt_10_2
DE X 2013 1000 mt 10_3 DE_X_2013_1000 mt_10_3
DE X 2013 1000 mt 10_3_1 DE_X_2013_1000 mt_10_3_1
DE X 2013 1000 mt 10_3_2 DE_X_2013_1000 mt_10_3_2
DE X 2013 1000 mt 10_3_3 DE_X_2013_1000 mt_10_3_3
DE X 2013 1000 mt 10_3_4 DE_X_2013_1000 mt_10_3_4
DE X 2013 1000 mt 10_4 DE_X_2013_1000 mt_10_4
DE X 2013 1000 NAC 1 DE_X_2013_1000 NAC_1
DE X 2013 1000 NAC 1_1 DE_X_2013_1000 NAC_1_1
DE X 2013 1000 NAC 1_2 DE_X_2013_1000 NAC_1_2
DE X 2013 1000 NAC 1_2_C DE_X_2013_1000 NAC_1_2_C
DE X 2013 1000 NAC 1_2_NC DE_X_2013_1000 NAC_1_2_NC
DE X 2013 1000 NAC 1_2_NC_T DE_X_2013_1000 NAC_1_2_NC_T
DE X 2013 1000 NAC 2 DE_X_2013_1000 NAC_2
DE X 2013 1000 NAC 3 DE_X_2013_1000 NAC_3
DE X 2013 1000 NAC 3_1 DE_X_2013_1000 NAC_3_1
DE X 2013 1000 NAC 3_2 DE_X_2013_1000 NAC_3_2
DE X 2013 1000 NAC 4 DE_X_2013_1000 NAC_4
DE X 2013 1000 NAC 4_1 DE_X_2013_1000 NAC_4_1
DE X 2013 1000 NAC 4_2 DE_X_2013_1000 NAC_4_2
DE X 2013 1000 NAC 5 DE_X_2013_1000 NAC_5
DE X 2013 1000 NAC 5_C DE_X_2013_1000 NAC_5_C
DE X 2013 1000 NAC 5_NC DE_X_2013_1000 NAC_5_NC
DE X 2013 1000 NAC 5_NC_T DE_X_2013_1000 NAC_5_NC_T
DE X 2013 1000 NAC 6 DE_X_2013_1000 NAC_6
DE X 2013 1000 NAC 6_1 DE_X_2013_1000 NAC_6_1
DE X 2013 1000 NAC 6_1_C DE_X_2013_1000 NAC_6_1_C
DE X 2013 1000 NAC 6_1_NC DE_X_2013_1000 NAC_6_1_NC
DE X 2013 1000 NAC 6_1_NC_T DE_X_2013_1000 NAC_6_1_NC_T
DE X 2013 1000 NAC 6_2 DE_X_2013_1000 NAC_6_2
DE X 2013 1000 NAC 6_2_C DE_X_2013_1000 NAC_6_2_C
DE X 2013 1000 NAC 6_2_NC DE_X_2013_1000 NAC_6_2_NC
DE X 2013 1000 NAC 6_2_NC_T DE_X_2013_1000 NAC_6_2_NC_T
DE X 2013 1000 NAC 6_3 DE_X_2013_1000 NAC_6_3
DE X 2013 1000 NAC 6_3_1 DE_X_2013_1000 NAC_6_3_1
DE X 2013 1000 NAC 6_4 DE_X_2013_1000 NAC_6_4
DE X 2013 1000 NAC 6_4_1 DE_X_2013_1000 NAC_6_4_1
DE X 2013 1000 NAC 6_4_2 DE_X_2013_1000 NAC_6_4_2
DE X 2013 1000 NAC 6_4_3 DE_X_2013_1000 NAC_6_4_3
DE X 2013 1000 NAC 7 DE_X_2013_1000 NAC_7
DE X 2013 1000 NAC 7_1 DE_X_2013_1000 NAC_7_1
DE X 2013 1000 NAC 7_2 DE_X_2013_1000 NAC_7_2
DE X 2013 1000 NAC 7_3 DE_X_2013_1000 NAC_7_3
DE X 2013 1000 NAC 7_3_1 DE_X_2013_1000 NAC_7_3_1
DE X 2013 1000 NAC 7_3_2 DE_X_2013_1000 NAC_7_3_2
DE X 2013 1000 NAC 7_3_3 DE_X_2013_1000 NAC_7_3_3
DE X 2013 1000 NAC 7_3_4 DE_X_2013_1000 NAC_7_3_4
DE X 2013 1000 NAC 7_4 DE_X_2013_1000 NAC_7_4
DE X 2013 1000 NAC 8 DE_X_2013_1000 NAC_8
DE X 2013 1000 NAC 8_1 DE_X_2013_1000 NAC_8_1
DE X 2013 1000 NAC 8_2 DE_X_2013_1000 NAC_8_2
DE X 2013 1000 NAC 9 DE_X_2013_1000 NAC_9
DE X 2013 1000 NAC 10 DE_X_2013_1000 NAC_10
DE X 2013 1000 NAC 10_1 DE_X_2013_1000 NAC_10_1
DE X 2013 1000 NAC 10_1_1 DE_X_2013_1000 NAC_10_1_1
DE X 2013 1000 NAC 10_1_2 DE_X_2013_1000 NAC_10_1_2
DE X 2013 1000 NAC 10_1_3 DE_X_2013_1000 NAC_10_1_3
DE X 2013 1000 NAC 10_1_4 DE_X_2013_1000 NAC_10_1_4
DE X 2013 1000 NAC 10_2 DE_X_2013_1000 NAC_10_2
DE X 2013 1000 NAC 10_3 DE_X_2013_1000 NAC_10_3
DE X 2013 1000 NAC 10_3_1 DE_X_2013_1000 NAC_10_3_1
DE X 2013 1000 NAC 10_3_2 DE_X_2013_1000 NAC_10_3_2
DE X 2013 1000 NAC 10_3_3 DE_X_2013_1000 NAC_10_3_3
DE X 2013 1000 NAC 10_3_4 DE_X_2013_1000 NAC_10_3_4
DE X 2013 1000 NAC 10_4 DE_X_2013_1000 NAC_10_4
DE M 2013 1000 NAC 11_1 DE_M_2013_1000 NAC_11_1
DE M 2013 1000 NAC 11_1_C DE_M_2013_1000 NAC_11_1_C
DE M 2013 1000 NAC 11_1_NC DE_M_2013_1000 NAC_11_1_NC
DE M 2013 1000 NAC 11_1_NC_T DE_M_2013_1000 NAC_11_1_NC_T
DE M 2013 1000 NAC 11_2 DE_M_2013_1000 NAC_11_2
DE M 2013 1000 NAC 11_3 DE_M_2013_1000 NAC_11_3
DE M 2013 1000 NAC 11_4 DE_M_2013_1000 NAC_11_4
DE M 2013 1000 NAC 11_5 DE_M_2013_1000 NAC_11_5
DE M 2013 1000 NAC 11_6 DE_M_2013_1000 NAC_11_6
DE M 2013 1000 NAC 11_7 DE_M_2013_1000 NAC_11_7
DE M 2013 1000 NAC 11_7_1 DE_M_2013_1000 NAC_11_7_1
DE M 2013 1000 NAC 12_1 DE_M_2013_1000 NAC_12_1
DE M 2013 1000 NAC 12_2 DE_M_2013_1000 NAC_12_2
DE M 2013 1000 NAC 12_3 DE_M_2013_1000 NAC_12_3
DE M 2013 1000 NAC 12_4 DE_M_2013_1000 NAC_12_4
DE M 2013 1000 NAC 12_5 DE_M_2013_1000 NAC_12_5
DE M 2013 1000 NAC 12_6 DE_M_2013_1000 NAC_12_6
DE M 2013 1000 NAC 12_6_1 DE_M_2013_1000 NAC_12_6_1
DE M 2013 1000 NAC 12_6_2 DE_M_2013_1000 NAC_12_6_2
DE M 2013 1000 NAC 12_6_3 DE_M_2013_1000 NAC_12_6_3
DE M 2013 1000 NAC 12_7 DE_M_2013_1000 NAC_12_7
DE M 2013 1000 NAC 12_7_1 DE_M_2013_1000 NAC_12_7_1
DE M 2013 1000 NAC 12_7_2 DE_M_2013_1000 NAC_12_7_2
DE M 2013 1000 NAC 12_7_3 DE_M_2013_1000 NAC_12_7_3
DE X 2013 1000 NAC 11_1 DE_X_2013_1000 NAC_11_1
DE X 2013 1000 NAC 11_1_C DE_X_2013_1000 NAC_11_1_C
DE X 2013 1000 NAC 11_1_NC DE_X_2013_1000 NAC_11_1_NC
DE X 2013 1000 NAC 11_1_NC_T DE_X_2013_1000 NAC_11_1_NC_T
DE X 2013 1000 NAC 11_2 DE_X_2013_1000 NAC_11_2
DE X 2013 1000 NAC 11_3 DE_X_2013_1000 NAC_11_3
DE X 2013 1000 NAC 11_4 DE_X_2013_1000 NAC_11_4
DE X 2013 1000 NAC 11_5 DE_X_2013_1000 NAC_11_5
DE X 2013 1000 NAC 11_6 DE_X_2013_1000 NAC_11_6
DE X 2013 1000 NAC 11_7 DE_X_2013_1000 NAC_11_7
DE X 2013 1000 NAC 11_7_1 DE_X_2013_1000 NAC_11_7_1
DE X 2013 1000 NAC 12_1 DE_X_2013_1000 NAC_12_1
DE X 2013 1000 NAC 12_2 DE_X_2013_1000 NAC_12_2
DE X 2013 1000 NAC 12_3 DE_X_2013_1000 NAC_12_3
DE X 2013 1000 NAC 12_4 DE_X_2013_1000 NAC_12_4
DE X 2013 1000 NAC 12_5 DE_X_2013_1000 NAC_12_5
DE X 2013 1000 NAC 12_6 DE_X_2013_1000 NAC_12_6
DE X 2013 1000 NAC 12_6_1 DE_X_2013_1000 NAC_12_6_1
DE X 2013 1000 NAC 12_6_2 DE_X_2013_1000 NAC_12_6_2
DE X 2013 1000 NAC 12_6_3 DE_X_2013_1000 NAC_12_6_3
DE X 2013 1000 NAC 12_7 DE_X_2013_1000 NAC_12_7
DE X 2013 1000 NAC 12_7_1 DE_X_2013_1000 NAC_12_7_1
DE X 2013 1000 NAC 12_7_2 DE_X_2013_1000 NAC_12_7_2
DE X 2013 1000 NAC 12_7_3 DE_X_2013_1000 NAC_12_7_3
DE M 2013 1000 m3 ST_1_2_C DE_M_2013_1000 m3_ST_1_2_C
DE M 2013 1000 m3 ST_1_2_C_1 DE_M_2013_1000 m3_ST_1_2_C_1
DE M 2013 1000 m3 ST_1_2_C_1_1 DE_M_2013_1000 m3_ST_1_2_C_1_1
DE M 2013 1000 m3 ST_1_2_C_2_1 DE_M_2013_1000 m3_ST_1_2_C_2_1
DE M 2013 1000 m3 ST_1_2_C_2 DE_M_2013_1000 m3_ST_1_2_C_2
DE M 2013 1000 m3 ST_1_2_C_1_2 DE_M_2013_1000 m3_ST_1_2_C_1_2
DE M 2013 1000 m3 ST_1_2_C_2_2 DE_M_2013_1000 m3_ST_1_2_C_2_2
DE M 2013 1000 m3 ST_1_2_C_3 DE_M_2013_1000 m3_ST_1_2_C_3
DE M 2013 1000 m3 ST_1_2_C_1_3 DE_M_2013_1000 m3_ST_1_2_C_1_3
DE M 2013 1000 m3 ST_1_2_C_2_3 DE_M_2013_1000 m3_ST_1_2_C_2_3
DE M 2013 1000 m3 ST_1_2_NC DE_M_2013_1000 m3_ST_1_2_NC
DE M 2013 1000 m3 ST_1_2_NC_1 DE_M_2013_1000 m3_ST_1_2_NC_1
DE M 2013 1000 m3 ST_1_2_NC_1_1 DE_M_2013_1000 m3_ST_1_2_NC_1_1
DE M 2013 1000 m3 ST_1_2_NC_2_1 DE_M_2013_1000 m3_ST_1_2_NC_2_1
DE M 2013 1000 m3 ST_1_2_NC_2 DE_M_2013_1000 m3_ST_1_2_NC_2
DE M 2013 1000 m3 ST_1_2_NC_1_2 DE_M_2013_1000 m3_ST_1_2_NC_1_2
DE M 2013 1000 m3 ST_1_2_NC_2_2 DE_M_2013_1000 m3_ST_1_2_NC_2_2
DE M 2013 1000 m3 ST_1_2_NC_3 DE_M_2013_1000 m3_ST_1_2_NC_3
DE M 2013 1000 m3 ST_1_2_NC_1_3 DE_M_2013_1000 m3_ST_1_2_NC_1_3
DE M 2013 1000 m3 ST_1_2_NC_2_3 DE_M_2013_1000 m3_ST_1_2_NC_2_3
DE M 2013 1000 m3 ST_1_2_NC_4 DE_M_2013_1000 m3_ST_1_2_NC_4
DE M 2013 1000 m3 ST_1_2_NC_5 DE_M_2013_1000 m3_ST_1_2_NC_5
DE M 2013 1000 m3 ST_5_C DE_M_2013_1000 m3_ST_5_C
DE M 2013 1000 m3 ST_5_C_1 DE_M_2013_1000 m3_ST_5_C_1
DE M 2013 1000 m3 ST_5_C_2 DE_M_2013_1000 m3_ST_5_C_2
DE M 2013 1000 m3 ST_5_NC DE_M_2013_1000 m3_ST_5_NC
DE M 2013 1000 m3 ST_5_NC_1 DE_M_2013_1000 m3_ST_5_NC_1
DE M 2013 1000 m3 ST_5_NC_2 DE_M_2013_1000 m3_ST_5_NC_2
DE M 2013 1000 m3 ST_5_NC_3 DE_M_2013_1000 m3_ST_5_NC_3
DE M 2013 1000 m3 ST_5_NC_4 DE_M_2013_1000 m3_ST_5_NC_4
DE M 2013 1000 m3 ST_5_NC_5 DE_M_2013_1000 m3_ST_5_NC_5
DE M 2013 1000 m3 ST_5_NC_6 DE_M_2013_1000 m3_ST_5_NC_6
DE M 2013 1000 m3 ST_5_NC_7 DE_M_2013_1000 m3_ST_5_NC_7
DE M 2013 1000 NAC ST_1_2_C DE_M_2013_1000 NAC_ST_1_2_C
DE M 2013 1000 NAC ST_1_2_C_1 DE_M_2013_1000 NAC_ST_1_2_C_1
DE M 2013 1000 NAC ST_1_2_C_1_1 DE_M_2013_1000 NAC_ST_1_2_C_1_1
DE M 2013 1000 NAC ST_1_2_C_2_1 DE_M_2013_1000 NAC_ST_1_2_C_2_1
DE M 2013 1000 NAC ST_1_2_C_2 DE_M_2013_1000 NAC_ST_1_2_C_2
DE M 2013 1000 NAC ST_1_2_C_1_2 DE_M_2013_1000 NAC_ST_1_2_C_1_2
DE M 2013 1000 NAC ST_1_2_C_2_2 DE_M_2013_1000 NAC_ST_1_2_C_2_2
DE M 2013 1000 NAC ST_1_2_C_3 DE_M_2013_1000 NAC_ST_1_2_C_3
DE M 2013 1000 NAC ST_1_2_C_1_3 DE_M_2013_1000 NAC_ST_1_2_C_1_3
DE M 2013 1000 NAC ST_1_2_C_2_3 DE_M_2013_1000 NAC_ST_1_2_C_2_3
DE M 2013 1000 NAC ST_1_2_NC DE_M_2013_1000 NAC_ST_1_2_NC
DE M 2013 1000 NAC ST_1_2_NC_1 DE_M_2013_1000 NAC_ST_1_2_NC_1
DE M 2013 1000 NAC ST_1_2_NC_1_1 DE_M_2013_1000 NAC_ST_1_2_NC_1_1
DE M 2013 1000 NAC ST_1_2_NC_2_1 DE_M_2013_1000 NAC_ST_1_2_NC_2_1
DE M 2013 1000 NAC ST_1_2_NC_2 DE_M_2013_1000 NAC_ST_1_2_NC_2
DE M 2013 1000 NAC ST_1_2_NC_1_2 DE_M_2013_1000 NAC_ST_1_2_NC_1_2
DE M 2013 1000 NAC ST_1_2_NC_2_2 DE_M_2013_1000 NAC_ST_1_2_NC_2_2
DE M 2013 1000 NAC ST_1_2_NC_3 DE_M_2013_1000 NAC_ST_1_2_NC_3
DE M 2013 1000 NAC ST_1_2_NC_1_3 DE_M_2013_1000 NAC_ST_1_2_NC_1_3
DE M 2013 1000 NAC ST_1_2_NC_2_3 DE_M_2013_1000 NAC_ST_1_2_NC_2_3
DE M 2013 1000 NAC ST_1_2_NC_4 DE_M_2013_1000 NAC_ST_1_2_NC_4
DE M 2013 1000 NAC ST_1_2_NC_5 DE_M_2013_1000 NAC_ST_1_2_NC_5
DE M 2013 1000 NAC ST_5_C DE_M_2013_1000 NAC_ST_5_C
DE M 2013 1000 NAC ST_5_C_1 DE_M_2013_1000 NAC_ST_5_C_1
DE M 2013 1000 NAC ST_5_C_2 DE_M_2013_1000 NAC_ST_5_C_2
DE M 2013 1000 NAC ST_5_NC DE_M_2013_1000 NAC_ST_5_NC
DE M 2013 1000 NAC ST_5_NC_1 DE_M_2013_1000 NAC_ST_5_NC_1
DE M 2013 1000 NAC ST_5_NC_2 DE_M_2013_1000 NAC_ST_5_NC_2
DE M 2013 1000 NAC ST_5_NC_3 DE_M_2013_1000 NAC_ST_5_NC_3
DE M 2013 1000 NAC ST_5_NC_4 DE_M_2013_1000 NAC_ST_5_NC_4
DE M 2013 1000 NAC ST_5_NC_5 DE_M_2013_1000 NAC_ST_5_NC_5
DE M 2013 1000 NAC ST_5_NC_6 DE_M_2013_1000 NAC_ST_5_NC_6
DE M 2013 1000 NAC ST_5_NC_7 DE_M_2013_1000 NAC_ST_5_NC_7
DE X 2013 1000 m3 ST_1_2_C DE_X_2013_1000 m3_ST_1_2_C
DE X 2013 1000 m3 ST_1_2_C_1 DE_X_2013_1000 m3_ST_1_2_C_1
DE X 2013 1000 m3 ST_1_2_C_1_1 DE_X_2013_1000 m3_ST_1_2_C_1_1
DE X 2013 1000 m3 ST_1_2_C_2_1 DE_X_2013_1000 m3_ST_1_2_C_2_1
DE X 2013 1000 m3 ST_1_2_C_2 DE_X_2013_1000 m3_ST_1_2_C_2
DE X 2013 1000 m3 ST_1_2_C_1_2 DE_X_2013_1000 m3_ST_1_2_C_1_2
DE X 2013 1000 m3 ST_1_2_C_2_2 DE_X_2013_1000 m3_ST_1_2_C_2_2
DE X 2013 1000 m3 ST_1_2_C_3 DE_X_2013_1000 m3_ST_1_2_C_3
DE X 2013 1000 m3 ST_1_2_C_1_3 DE_X_2013_1000 m3_ST_1_2_C_1_3
DE X 2013 1000 m3 ST_1_2_C_2_3 DE_X_2013_1000 m3_ST_1_2_C_2_3
DE X 2013 1000 m3 ST_1_2_NC DE_X_2013_1000 m3_ST_1_2_NC
DE X 2013 1000 m3 ST_1_2_NC_1 DE_X_2013_1000 m3_ST_1_2_NC_1
DE X 2013 1000 m3 ST_1_2_NC_1_1 DE_X_2013_1000 m3_ST_1_2_NC_1_1
DE X 2013 1000 m3 ST_1_2_NC_2_1 DE_X_2013_1000 m3_ST_1_2_NC_2_1
DE X 2013 1000 m3 ST_1_2_NC_2 DE_X_2013_1000 m3_ST_1_2_NC_2
DE X 2013 1000 m3 ST_1_2_NC_1_2 DE_X_2013_1000 m3_ST_1_2_NC_1_2
DE X 2013 1000 m3 ST_1_2_NC_2_2 DE_X_2013_1000 m3_ST_1_2_NC_2_2
DE X 2013 1000 m3 ST_1_2_NC_3 DE_X_2013_1000 m3_ST_1_2_NC_3
DE X 2013 1000 m3 ST_1_2_NC_1_3 DE_X_2013_1000 m3_ST_1_2_NC_1_3
DE X 2013 1000 m3 ST_1_2_NC_2_3 DE_X_2013_1000 m3_ST_1_2_NC_2_3
DE X 2013 1000 m3 ST_1_2_NC_4 DE_X_2013_1000 m3_ST_1_2_NC_4
DE X 2013 1000 m3 ST_1_2_NC_5 DE_X_2013_1000 m3_ST_1_2_NC_5
DE X 2013 1000 m3 ST_5_C DE_X_2013_1000 m3_ST_5_C
DE X 2013 1000 m3 ST_5_C_1 DE_X_2013_1000 m3_ST_5_C_1
DE X 2013 1000 m3 ST_5_C_2 DE_X_2013_1000 m3_ST_5_C_2
DE X 2013 1000 m3 ST_5_NC DE_X_2013_1000 m3_ST_5_NC
DE X 2013 1000 m3 ST_5_NC_1 DE_X_2013_1000 m3_ST_5_NC_1
DE X 2013 1000 m3 ST_5_NC_2 DE_X_2013_1000 m3_ST_5_NC_2
DE X 2013 1000 m3 ST_5_NC_3 DE_X_2013_1000 m3_ST_5_NC_3
DE X 2013 1000 m3 ST_5_NC_4 DE_X_2013_1000 m3_ST_5_NC_4
DE X 2013 1000 m3 ST_5_NC_5 DE_X_2013_1000 m3_ST_5_NC_5
DE X 2013 1000 m3 ST_5_NC_6 DE_X_2013_1000 m3_ST_5_NC_6
DE X 2013 1000 m3 ST_5_NC_7 DE_X_2013_1000 m3_ST_5_NC_7
DE X 2013 1000 NAC ST_1_2_C DE_X_2013_1000 NAC_ST_1_2_C
DE X 2013 1000 NAC ST_1_2_C_1 DE_X_2013_1000 NAC_ST_1_2_C_1
DE X 2013 1000 NAC ST_1_2_C_1_1 DE_X_2013_1000 NAC_ST_1_2_C_1_1
DE X 2013 1000 NAC ST_1_2_C_2_1 DE_X_2013_1000 NAC_ST_1_2_C_2_1
DE X 2013 1000 NAC ST_1_2_C_2 DE_X_2013_1000 NAC_ST_1_2_C_2
DE X 2013 1000 NAC ST_1_2_C_1_2 DE_X_2013_1000 NAC_ST_1_2_C_1_2
DE X 2013 1000 NAC ST_1_2_C_2_2 DE_X_2013_1000 NAC_ST_1_2_C_2_2
DE X 2013 1000 NAC ST_1_2_C_3 DE_X_2013_1000 NAC_ST_1_2_C_3
DE X 2013 1000 NAC ST_1_2_C_1_3 DE_X_2013_1000 NAC_ST_1_2_C_1_3
DE X 2013 1000 NAC ST_1_2_C_2_3 DE_X_2013_1000 NAC_ST_1_2_C_2_3
DE X 2013 1000 NAC ST_1_2_NC DE_X_2013_1000 NAC_ST_1_2_NC
DE X 2013 1000 NAC ST_1_2_NC_1 DE_X_2013_1000 NAC_ST_1_2_NC_1
DE X 2013 1000 NAC ST_1_2_NC_1_1 DE_X_2013_1000 NAC_ST_1_2_NC_1_1
DE X 2013 1000 NAC ST_1_2_NC_2_1 DE_X_2013_1000 NAC_ST_1_2_NC_2_1
DE X 2013 1000 NAC ST_1_2_NC_2 DE_X_2013_1000 NAC_ST_1_2_NC_2
DE X 2013 1000 NAC ST_1_2_NC_1_2 DE_X_2013_1000 NAC_ST_1_2_NC_1_2
DE X 2013 1000 NAC ST_1_2_NC_2_2 DE_X_2013_1000 NAC_ST_1_2_NC_2_2
DE X 2013 1000 NAC ST_1_2_NC_3 DE_X_2013_1000 NAC_ST_1_2_NC_3
DE X 2013 1000 NAC ST_1_2_NC_1_3 DE_X_2013_1000 NAC_ST_1_2_NC_1_3
DE X 2013 1000 NAC ST_1_2_NC_2_3 DE_X_2013_1000 NAC_ST_1_2_NC_2_3
DE X 2013 1000 NAC ST_1_2_NC_4 DE_X_2013_1000 NAC_ST_1_2_NC_4
DE X 2013 1000 NAC ST_1_2_NC_5 DE_X_2013_1000 NAC_ST_1_2_NC_5
DE X 2013 1000 NAC ST_5_C DE_X_2013_1000 NAC_ST_5_C
DE X 2013 1000 NAC ST_5_C_1 DE_X_2013_1000 NAC_ST_5_C_1
DE X 2013 1000 NAC ST_5_C_2 DE_X_2013_1000 NAC_ST_5_C_2
DE X 2013 1000 NAC ST_5_NC DE_X_2013_1000 NAC_ST_5_NC
DE X 2013 1000 NAC ST_5_NC_1 DE_X_2013_1000 NAC_ST_5_NC_1
DE X 2013 1000 NAC ST_5_NC_2 DE_X_2013_1000 NAC_ST_5_NC_2
DE X 2013 1000 NAC ST_5_NC_3 DE_X_2013_1000 NAC_ST_5_NC_3
DE X 2013 1000 NAC ST_5_NC_4 DE_X_2013_1000 NAC_ST_5_NC_4
DE X 2013 1000 NAC ST_5_NC_5 DE_X_2013_1000 NAC_ST_5_NC_5
DE X 2013 1000 NAC ST_5_NC_6 DE_X_2013_1000 NAC_ST_5_NC_6
DE X 2013 1000 NAC ST_5_NC_7 DE_X_2013_1000 NAC_ST_5_NC_7
DE EX_M 2013 1000 m3 1 DE_EX_M_2013_1000 m3_1
DE EX_M 2013 1000 m3 1_1 DE_EX_M_2013_1000 m3_1_1
DE EX_M 2013 1000 m3 1_2 DE_EX_M_2013_1000 m3_1_2
DE EX_M 2013 1000 m3 1_2_C DE_EX_M_2013_1000 m3_1_2_C
DE EX_M 2013 1000 m3 1_2_NC DE_EX_M_2013_1000 m3_1_2_NC
DE EX_M 2013 1000 m3 1_2_NC_T DE_EX_M_2013_1000 m3_1_2_NC_T
DE EX_M 2013 1000 mt 2 DE_EX_M_2013_1000 mt_2
DE EX_M 2013 1000 m3 3 DE_EX_M_2013_1000 m3_3
DE EX_M 2013 1000 m3 3_1 DE_EX_M_2013_1000 m3_3_1
DE EX_M 2013 1000 m3 3_2 DE_EX_M_2013_1000 m3_3_2
DE EX_M 2013 1000 mt 4 DE_EX_M_2013_1000 mt_4
DE EX_M 2013 1000 mt 4_1 DE_EX_M_2013_1000 mt_4_1
DE EX_M 2013 1000 mt 4_2 DE_EX_M_2013_1000 mt_4_2
DE EX_M 2013 1000 m3 5 DE_EX_M_2013_1000 m3_5
DE EX_M 2013 1000 m3 5_C DE_EX_M_2013_1000 m3_5_C
DE EX_M 2013 1000 m3 5_NC DE_EX_M_2013_1000 m3_5_NC
DE EX_M 2013 1000 m3 5_NC_T DE_EX_M_2013_1000 m3_5_NC_T
DE EX_M 2013 1000 m3 6 DE_EX_M_2013_1000 m3_6
DE EX_M 2013 1000 m3 6_1 DE_EX_M_2013_1000 m3_6_1
DE EX_M 2013 1000 m3 6_1_C DE_EX_M_2013_1000 m3_6_1_C
DE EX_M 2013 1000 m3 6_1_NC DE_EX_M_2013_1000 m3_6_1_NC
DE EX_M 2013 1000 m3 6_1_NC_T DE_EX_M_2013_1000 m3_6_1_NC_T
DE EX_M 2013 1000 m3 6_2 DE_EX_M_2013_1000 m3_6_2
DE EX_M 2013 1000 m3 6_2_C DE_EX_M_2013_1000 m3_6_2_C
DE EX_M 2013 1000 m3 6_2_NC DE_EX_M_2013_1000 m3_6_2_NC
DE EX_M 2013 1000 m3 6_2_NC_T DE_EX_M_2013_1000 m3_6_2_NC_T
DE EX_M 2013 1000 m3 6_3 DE_EX_M_2013_1000 m3_6_3
DE EX_M 2013 1000 m3 6_3_1 DE_EX_M_2013_1000 m3_6_3_1
DE EX_M 2013 1000 m3 6_4 DE_EX_M_2013_1000 m3_6_4
DE EX_M 2013 1000 m3 6_4_1 DE_EX_M_2013_1000 m3_6_4_1
DE EX_M 2013 1000 m3 6_4_2 DE_EX_M_2013_1000 m3_6_4_2
DE EX_M 2013 1000 m3 6_4_3 DE_EX_M_2013_1000 m3_6_4_3
DE EX_M 2013 1000 mt 7 DE_EX_M_2013_1000 mt_7
DE EX_M 2013 1000 mt 7_1 DE_EX_M_2013_1000 mt_7_1
DE EX_M 2013 1000 mt 7_2 DE_EX_M_2013_1000 mt_7_2
DE EX_M 2013 1000 mt 7_3 DE_EX_M_2013_1000 mt_7_3
DE EX_M 2013 1000 mt 7_3_1 DE_EX_M_2013_1000 mt_7_3_1
DE EX_M 2013 1000 mt 7_3_2 DE_EX_M_2013_1000 mt_7_3_2
DE EX_M 2013 1000 mt 7_3_3 DE_EX_M_2013_1000 mt_7_3_3
DE EX_M 2013 1000 mt 7_3_4 DE_EX_M_2013_1000 mt_7_3_4
DE EX_M 2013 1000 mt 7_4 DE_EX_M_2013_1000 mt_7_4
DE EX_M 2013 1000 mt 8 DE_EX_M_2013_1000 mt_8
DE EX_M 2013 1000 mt 8_1 DE_EX_M_2013_1000 mt_8_1
DE EX_M 2013 1000 mt 8_2 DE_EX_M_2013_1000 mt_8_2
DE EX_M 2013 1000 mt 9 DE_EX_M_2013_1000 mt_9
DE EX_M 2013 1000 mt 10 DE_EX_M_2013_1000 mt_10
DE EX_M 2013 1000 mt 10_1 DE_EX_M_2013_1000 mt_10_1
DE EX_M 2013 1000 mt 10_1_1 DE_EX_M_2013_1000 mt_10_1_1
DE EX_M 2013 1000 mt 10_1_2 DE_EX_M_2013_1000 mt_10_1_2
DE EX_M 2013 1000 mt 10_1_3 DE_EX_M_2013_1000 mt_10_1_3
DE EX_M 2013 1000 mt 10_1_4 DE_EX_M_2013_1000 mt_10_1_4
DE EX_M 2013 1000 mt 10_2 DE_EX_M_2013_1000 mt_10_2
DE EX_M 2013 1000 mt 10_3 DE_EX_M_2013_1000 mt_10_3
DE EX_M 2013 1000 mt 10_3_1 DE_EX_M_2013_1000 mt_10_3_1
DE EX_M 2013 1000 mt 10_3_2 DE_EX_M_2013_1000 mt_10_3_2
DE EX_M 2013 1000 mt 10_3_3 DE_EX_M_2013_1000 mt_10_3_3
DE EX_M 2013 1000 mt 10_3_4 DE_EX_M_2013_1000 mt_10_3_4
DE EX_M 2013 1000 mt 10_4 DE_EX_M_2013_1000 mt_10_4
DE EX_M 2013 1000 NAC 1 DE_EX_M_2013_1000 NAC_1
DE EX_M 2013 1000 NAC 1_1 DE_EX_M_2013_1000 NAC_1_1
DE EX_M 2013 1000 NAC 1_2 DE_EX_M_2013_1000 NAC_1_2
DE EX_M 2013 1000 NAC 1_2_C DE_EX_M_2013_1000 NAC_1_2_C
DE EX_M 2013 1000 NAC 1_2_NC DE_EX_M_2013_1000 NAC_1_2_NC
DE EX_M 2013 1000 NAC 1_2_NC_T DE_EX_M_2013_1000 NAC_1_2_NC_T
DE EX_M 2013 1000 NAC 2 DE_EX_M_2013_1000 NAC_2
DE EX_M 2013 1000 NAC 3 DE_EX_M_2013_1000 NAC_3
DE EX_M 2013 1000 NAC 3_1 DE_EX_M_2013_1000 NAC_3_1
DE EX_M 2013 1000 NAC 3_2 DE_EX_M_2013_1000 NAC_3_2
DE EX_M 2013 1000 NAC 4 DE_EX_M_2013_1000 NAC_4
DE EX_M 2013 1000 NAC 4_1 DE_EX_M_2013_1000 NAC_4_1
DE EX_M 2013 1000 NAC 4_2 DE_EX_M_2013_1000 NAC_4_2
DE EX_M 2013 1000 NAC 5 DE_EX_M_2013_1000 NAC_5
DE EX_M 2013 1000 NAC 5_C DE_EX_M_2013_1000 NAC_5_C
DE EX_M 2013 1000 NAC 5_NC DE_EX_M_2013_1000 NAC_5_NC
DE EX_M 2013 1000 NAC 5_NC_T DE_EX_M_2013_1000 NAC_5_NC_T
DE EX_M 2013 1000 NAC 6 DE_EX_M_2013_1000 NAC_6
DE EX_M 2013 1000 NAC 6_1 DE_EX_M_2013_1000 NAC_6_1
DE EX_M 2013 1000 NAC 6_1_C DE_EX_M_2013_1000 NAC_6_1_C
DE EX_M 2013 1000 NAC 6_1_NC DE_EX_M_2013_1000 NAC_6_1_NC
DE EX_M 2013 1000 NAC 6_1_NC_T DE_EX_M_2013_1000 NAC_6_1_NC_T
DE EX_M 2013 1000 NAC 6_2 DE_EX_M_2013_1000 NAC_6_2
DE EX_M 2013 1000 NAC 6_2_C DE_EX_M_2013_1000 NAC_6_2_C
DE EX_M 2013 1000 NAC 6_2_NC DE_EX_M_2013_1000 NAC_6_2_NC
DE EX_M 2013 1000 NAC 6_2_NC_T DE_EX_M_2013_1000 NAC_6_2_NC_T
DE EX_M 2013 1000 NAC 6_3 DE_EX_M_2013_1000 NAC_6_3
DE EX_M 2013 1000 NAC 6_3_1 DE_EX_M_2013_1000 NAC_6_3_1
DE EX_M 2013 1000 NAC 6_4 DE_EX_M_2013_1000 NAC_6_4
DE EX_M 2013 1000 NAC 6_4_1 DE_EX_M_2013_1000 NAC_6_4_1
DE EX_M 2013 1000 NAC 6_4_2 DE_EX_M_2013_1000 NAC_6_4_2
DE EX_M 2013 1000 NAC 6_4_3 DE_EX_M_2013_1000 NAC_6_4_3
DE EX_M 2013 1000 NAC 7 DE_EX_M_2013_1000 NAC_7
DE EX_M 2013 1000 NAC 7_1 DE_EX_M_2013_1000 NAC_7_1
DE EX_M 2013 1000 NAC 7_2 DE_EX_M_2013_1000 NAC_7_2
DE EX_M 2013 1000 NAC 7_3 DE_EX_M_2013_1000 NAC_7_3
DE EX_M 2013 1000 NAC 7_3_1 DE_EX_M_2013_1000 NAC_7_3_1
DE EX_M 2013 1000 NAC 7_3_2 DE_EX_M_2013_1000 NAC_7_3_2
DE EX_M 2013 1000 NAC 7_3_3 DE_EX_M_2013_1000 NAC_7_3_3
DE EX_M 2013 1000 NAC 7_3_4 DE_EX_M_2013_1000 NAC_7_3_4
DE EX_M 2013 1000 NAC 7_4 DE_EX_M_2013_1000 NAC_7_4
DE EX_M 2013 1000 NAC 8 DE_EX_M_2013_1000 NAC_8
DE EX_M 2013 1000 NAC 8_1 DE_EX_M_2013_1000 NAC_8_1
DE EX_M 2013 1000 NAC 8_2 DE_EX_M_2013_1000 NAC_8_2
DE EX_M 2013 1000 NAC 9 DE_EX_M_2013_1000 NAC_9
DE EX_M 2013 1000 NAC 10 DE_EX_M_2013_1000 NAC_10
DE EX_M 2013 1000 NAC 10_1 DE_EX_M_2013_1000 NAC_10_1
DE EX_M 2013 1000 NAC 10_1_1 DE_EX_M_2013_1000 NAC_10_1_1
DE EX_M 2013 1000 NAC 10_1_2 DE_EX_M_2013_1000 NAC_10_1_2
DE EX_M 2013 1000 NAC 10_1_3 DE_EX_M_2013_1000 NAC_10_1_3
DE EX_M 2013 1000 NAC 10_1_4 DE_EX_M_2013_1000 NAC_10_1_4
DE EX_M 2013 1000 NAC 10_2 DE_EX_M_2013_1000 NAC_10_2
DE EX_M 2013 1000 NAC 10_3 DE_EX_M_2013_1000 NAC_10_3
DE EX_M 2013 1000 NAC 10_3_1 DE_EX_M_2013_1000 NAC_10_3_1
DE EX_M 2013 1000 NAC 10_3_2 DE_EX_M_2013_1000 NAC_10_3_2
DE EX_M 2013 1000 NAC 10_3_3 DE_EX_M_2013_1000 NAC_10_3_3
DE EX_M 2013 1000 NAC 10_3_4 DE_EX_M_2013_1000 NAC_10_3_4
DE EX_M 2013 1000 NAC 10_4 DE_EX_M_2013_1000 NAC_10_4
DE EX_X 2013 1000 m3 1 DE_EX_X_2013_1000 m3_1
DE EX_X 2013 1000 m3 1_1 DE_EX_X_2013_1000 m3_1_1
DE EX_X 2013 1000 m3 1_2 DE_EX_X_2013_1000 m3_1_2
DE EX_X 2013 1000 m3 1_2_C DE_EX_X_2013_1000 m3_1_2_C
DE EX_X 2013 1000 m3 1_2_NC DE_EX_X_2013_1000 m3_1_2_NC
DE EX_X 2013 1000 m3 1_2_NC_T DE_EX_X_2013_1000 m3_1_2_NC_T
DE EX_X 2013 1000 mt 2 DE_EX_X_2013_1000 mt_2
DE EX_X 2013 1000 m3 3 DE_EX_X_2013_1000 m3_3
DE EX_X 2013 1000 m3 3_1 DE_EX_X_2013_1000 m3_3_1
DE EX_X 2013 1000 m3 3_2 DE_EX_X_2013_1000 m3_3_2
DE EX_X 2013 1000 mt 4 DE_EX_X_2013_1000 mt_4
DE EX_X 2013 1000 mt 4_1 DE_EX_X_2013_1000 mt_4_1
DE EX_X 2013 1000 mt 4_2 DE_EX_X_2013_1000 mt_4_2
DE EX_X 2013 1000 m3 5 DE_EX_X_2013_1000 m3_5
DE EX_X 2013 1000 m3 5_C DE_EX_X_2013_1000 m3_5_C
DE EX_X 2013 1000 m3 5_NC DE_EX_X_2013_1000 m3_5_NC
DE EX_X 2013 1000 m3 5_NC_T DE_EX_X_2013_1000 m3_5_NC_T
DE EX_X 2013 1000 m3 6 DE_EX_X_2013_1000 m3_6
DE EX_X 2013 1000 m3 6_1 DE_EX_X_2013_1000 m3_6_1
DE EX_X 2013 1000 m3 6_1_C DE_EX_X_2013_1000 m3_6_1_C
DE EX_X 2013 1000 m3 6_1_NC DE_EX_X_2013_1000 m3_6_1_NC
DE EX_X 2013 1000 m3 6_1_NC_T DE_EX_X_2013_1000 m3_6_1_NC_T
DE EX_X 2013 1000 m3 6_2 DE_EX_X_2013_1000 m3_6_2
DE EX_X 2013 1000 m3 6_2_C DE_EX_X_2013_1000 m3_6_2_C
DE EX_X 2013 1000 m3 6_2_NC DE_EX_X_2013_1000 m3_6_2_NC
DE EX_X 2013 1000 m3 6_2_NC_T DE_EX_X_2013_1000 m3_6_2_NC_T
DE EX_X 2013 1000 m3 6_3 DE_EX_X_2013_1000 m3_6_3
DE EX_X 2013 1000 m3 6_3_1 DE_EX_X_2013_1000 m3_6_3_1
DE EX_X 2013 1000 m3 6_4 DE_EX_X_2013_1000 m3_6_4
DE EX_X 2013 1000 m3 6_4_1 DE_EX_X_2013_1000 m3_6_4_1
DE EX_X 2013 1000 m3 6_4_2 DE_EX_X_2013_1000 m3_6_4_2
DE EX_X 2013 1000 m3 6_4_3 DE_EX_X_2013_1000 m3_6_4_3
DE EX_X 2013 1000 mt 7 DE_EX_X_2013_1000 mt_7
DE EX_X 2013 1000 mt 7_1 DE_EX_X_2013_1000 mt_7_1
DE EX_X 2013 1000 mt 7_2 DE_EX_X_2013_1000 mt_7_2
DE EX_X 2013 1000 mt 7_3 DE_EX_X_2013_1000 mt_7_3
DE EX_X 2013 1000 mt 7_3_1 DE_EX_X_2013_1000 mt_7_3_1
DE EX_X 2013 1000 mt 7_3_2 DE_EX_X_2013_1000 mt_7_3_2
DE EX_X 2013 1000 mt 7_3_3 DE_EX_X_2013_1000 mt_7_3_3
DE EX_X 2013 1000 mt 7_3_4 DE_EX_X_2013_1000 mt_7_3_4
DE EX_X 2013 1000 mt 7_4 DE_EX_X_2013_1000 mt_7_4
DE EX_X 2013 1000 mt 8 DE_EX_X_2013_1000 mt_8
DE EX_X 2013 1000 mt 8_1 DE_EX_X_2013_1000 mt_8_1
DE EX_X 2013 1000 mt 8_2 DE_EX_X_2013_1000 mt_8_2
DE EX_X 2013 1000 mt 9 DE_EX_X_2013_1000 mt_9
DE EX_X 2013 1000 mt 10 DE_EX_X_2013_1000 mt_10
DE EX_X 2013 1000 mt 10_1 DE_EX_X_2013_1000 mt_10_1
DE EX_X 2013 1000 mt 10_1_1 DE_EX_X_2013_1000 mt_10_1_1
DE EX_X 2013 1000 mt 10_1_2 DE_EX_X_2013_1000 mt_10_1_2
DE EX_X 2013 1000 mt 10_1_3 DE_EX_X_2013_1000 mt_10_1_3
DE EX_X 2013 1000 mt 10_1_4 DE_EX_X_2013_1000 mt_10_1_4
DE EX_X 2013 1000 mt 10_2 DE_EX_X_2013_1000 mt_10_2
DE EX_X 2013 1000 mt 10_3 DE_EX_X_2013_1000 mt_10_3
DE EX_X 2013 1000 mt 10_3_1 DE_EX_X_2013_1000 mt_10_3_1
DE EX_X 2013 1000 mt 10_3_2 DE_EX_X_2013_1000 mt_10_3_2
DE EX_X 2013 1000 mt 10_3_3 DE_EX_X_2013_1000 mt_10_3_3
DE EX_X 2013 1000 mt 10_3_4 DE_EX_X_2013_1000 mt_10_3_4
DE EX_X 2013 1000 mt 10_4 DE_EX_X_2013_1000 mt_10_4
DE EX_X 2013 1000 NAC 1 DE_EX_X_2013_1000 NAC_1
DE EX_X 2013 1000 NAC 1_1 DE_EX_X_2013_1000 NAC_1_1
DE EX_X 2013 1000 NAC 1_2 DE_EX_X_2013_1000 NAC_1_2
DE EX_X 2013 1000 NAC 1_2_C DE_EX_X_2013_1000 NAC_1_2_C
DE EX_X 2013 1000 NAC 1_2_NC DE_EX_X_2013_1000 NAC_1_2_NC
DE EX_X 2013 1000 NAC 1_2_NC_T DE_EX_X_2013_1000 NAC_1_2_NC_T
DE EX_X 2013 1000 NAC 2 DE_EX_X_2013_1000 NAC_2
DE EX_X 2013 1000 NAC 3 DE_EX_X_2013_1000 NAC_3
DE EX_X 2013 1000 NAC 3_1 DE_EX_X_2013_1000 NAC_3_1
DE EX_X 2013 1000 NAC 3_2 DE_EX_X_2013_1000 NAC_3_2
DE EX_X 2013 1000 NAC 4 DE_EX_X_2013_1000 NAC_4
DE EX_X 2013 1000 NAC 4_1 DE_EX_X_2013_1000 NAC_4_1
DE EX_X 2013 1000 NAC 4_2 DE_EX_X_2013_1000 NAC_4_2
DE EX_X 2013 1000 NAC 5 DE_EX_X_2013_1000 NAC_5
DE EX_X 2013 1000 NAC 5_C DE_EX_X_2013_1000 NAC_5_C
DE EX_X 2013 1000 NAC 5_NC DE_EX_X_2013_1000 NAC_5_NC
DE EX_X 2013 1000 NAC 5_NC_T DE_EX_X_2013_1000 NAC_5_NC_T
DE EX_X 2013 1000 NAC 6 DE_EX_X_2013_1000 NAC_6
DE EX_X 2013 1000 NAC 6_1 DE_EX_X_2013_1000 NAC_6_1
DE EX_X 2013 1000 NAC 6_1_C DE_EX_X_2013_1000 NAC_6_1_C
DE EX_X 2013 1000 NAC 6_1_NC DE_EX_X_2013_1000 NAC_6_1_NC
DE EX_X 2013 1000 NAC 6_1_NC_T DE_EX_X_2013_1000 NAC_6_1_NC_T
DE EX_X 2013 1000 NAC 6_2 DE_EX_X_2013_1000 NAC_6_2
DE EX_X 2013 1000 NAC 6_2_C DE_EX_X_2013_1000 NAC_6_2_C
DE EX_X 2013 1000 NAC 6_2_NC DE_EX_X_2013_1000 NAC_6_2_NC
DE EX_X 2013 1000 NAC 6_2_NC_T DE_EX_X_2013_1000 NAC_6_2_NC_T
DE EX_X 2013 1000 NAC 6_3 DE_EX_X_2013_1000 NAC_6_3
DE EX_X 2013 1000 NAC 6_3_1 DE_EX_X_2013_1000 NAC_6_3_1
DE EX_X 2013 1000 NAC 6_4 DE_EX_X_2013_1000 NAC_6_4
DE EX_X 2013 1000 NAC 6_4_1 DE_EX_X_2013_1000 NAC_6_4_1
DE EX_X 2013 1000 NAC 6_4_2 DE_EX_X_2013_1000 NAC_6_4_2
DE EX_X 2013 1000 NAC 6_4_3 DE_EX_X_2013_1000 NAC_6_4_3
DE EX_X 2013 1000 NAC 7 DE_EX_X_2013_1000 NAC_7
DE EX_X 2013 1000 NAC 7_1 DE_EX_X_2013_1000 NAC_7_1
DE EX_X 2013 1000 NAC 7_2 DE_EX_X_2013_1000 NAC_7_2
DE EX_X 2013 1000 NAC 7_3 DE_EX_X_2013_1000 NAC_7_3
DE EX_X 2013 1000 NAC 7_3_1 DE_EX_X_2013_1000 NAC_7_3_1
DE EX_X 2013 1000 NAC 7_3_2 DE_EX_X_2013_1000 NAC_7_3_2
DE EX_X 2013 1000 NAC 7_3_3 DE_EX_X_2013_1000 NAC_7_3_3
DE EX_X 2013 1000 NAC 7_3_4 DE_EX_X_2013_1000 NAC_7_3_4
DE EX_X 2013 1000 NAC 7_4 DE_EX_X_2013_1000 NAC_7_4
DE EX_X 2013 1000 NAC 8 DE_EX_X_2013_1000 NAC_8
DE EX_X 2013 1000 NAC 8_1 DE_EX_X_2013_1000 NAC_8_1
DE EX_X 2013 1000 NAC 8_2 DE_EX_X_2013_1000 NAC_8_2
DE EX_X 2013 1000 NAC 9 DE_EX_X_2013_1000 NAC_9
DE EX_X 2013 1000 NAC 10 DE_EX_X_2013_1000 NAC_10
DE EX_X 2013 1000 NAC 10_1 DE_EX_X_2013_1000 NAC_10_1
DE EX_X 2013 1000 NAC 10_1_1 DE_EX_X_2013_1000 NAC_10_1_1
DE EX_X 2013 1000 NAC 10_1_2 DE_EX_X_2013_1000 NAC_10_1_2
DE EX_X 2013 1000 NAC 10_1_3 DE_EX_X_2013_1000 NAC_10_1_3
DE EX_X 2013 1000 NAC 10_1_4 DE_EX_X_2013_1000 NAC_10_1_4
DE EX_X 2013 1000 NAC 10_2 DE_EX_X_2013_1000 NAC_10_2
DE EX_X 2013 1000 NAC 10_3 DE_EX_X_2013_1000 NAC_10_3
DE EX_X 2013 1000 NAC 10_3_1 DE_EX_X_2013_1000 NAC_10_3_1
DE EX_X 2013 1000 NAC 10_3_2 DE_EX_X_2013_1000 NAC_10_3_2
DE EX_X 2013 1000 NAC 10_3_3 DE_EX_X_2013_1000 NAC_10_3_3
DE EX_X 2013 1000 NAC 10_3_4 DE_EX_X_2013_1000 NAC_10_3_4
DE EX_X 2013 1000 NAC 10_4 DE_EX_X_2013_1000 NAC_10_4
DE P 2013 1000 m3 EU2_1 DE_P_2013_1000 m3_EU2_1
DE P 2013 1000 m3 EU2_1_C DE_P_2013_1000 m3_EU2_1_C
DE P 2013 1000 m3 EU2_1_NC DE_P_2013_1000 m3_EU2_1_NC
DE P 2013 1000 m3 EU2_1_1 DE_P_2013_1000 m3_EU2_1_1
DE P 2013 1000 m3 EU2_1_1_C DE_P_2013_1000 m3_EU2_1_1_C
DE P 2013 1000 m3 EU2_1_1_NC DE_P_2013_1000 m3_EU2_1_1_NC
DE P 2013 1000 m3 EU2_1_2 DE_P_2013_1000 m3_EU2_1_2
DE P 2013 1000 m3 EU2_1_2_C DE_P_2013_1000 m3_EU2_1_2_C
DE P 2013 1000 m3 EU2_1_2_NC DE_P_2013_1000 m3_EU2_1_2_NC
DE P 2013 1000 m3 EU2_1_3 DE_P_2013_1000 m3_EU2_1_3
DE P 2013 1000 m3 EU2_1_3_C DE_P_2013_1000 m3_EU2_1_3_C
DE P 2013 1000 m3 EU2_1_3_NC DE_P_2013_1000 m3_EU2_1_3_NC
DE P.OB 2013 1000 m3 1 DE_P.OB_2013_1000 m3_1
DE P.OB 2013 1000 m3 1_C DE_P.OB_2013_1000 m3_1_C
DE P.OB 2013 1000 m3 1_NC DE_P.OB_2013_1000 m3_1_NC
DE P.OB 2013 1000 m3 1_1 DE_P.OB_2013_1000 m3_1_1
DE P.OB 2013 1000 m3 1_1_C DE_P.OB_2013_1000 m3_1_1_C
DE P.OB 2013 1000 m3 1_1_NC DE_P.OB_2013_1000 m3_1_1_NC
DE P.OB 2013 1000 m3 1_2 DE_P.OB_2013_1000 m3_1_2
DE P.OB 2013 1000 m3 1_2_C DE_P.OB_2013_1000 m3_1_2_C
DE P.OB 2013 1000 m3 1_2_NC DE_P.OB_2013_1000 m3_1_2_NC
DE P.OB 2013 1000 m3 1_2_1 DE_P.OB_2013_1000 m3_1_2_1
DE P.OB 2013 1000 m3 1_2_1_C DE_P.OB_2013_1000 m3_1_2_1_C
DE P.OB 2013 1000 m3 1_2_1_NC DE_P.OB_2013_1000 m3_1_2_1_NC
DE P.OB 2013 1000 m3 1_2_2 DE_P.OB_2013_1000 m3_1_2_2
DE P.OB 2013 1000 m3 1_2_2_C DE_P.OB_2013_1000 m3_1_2_2_C
DE P.OB 2013 1000 m3 1_2_2_NC DE_P.OB_2013_1000 m3_1_2_2_NC
DE P.OB 2013 1000 m3 1_2_3 DE_P.OB_2013_1000 m3_1_2_3
DE P.OB 2013 1000 m3 1_2_3_C DE_P.OB_2013_1000 m3_1_2_3_C
DE P.OB 2013 1000 m3 1_2_3_NC DE_P.OB_2013_1000 m3_1_2_3_NC
DE P 2012 1000 m3 1 DE_P_2012_1000 m3_1
DE P 2012 1000 m3 1_C DE_P_2012_1000 m3_1_C
DE P 2012 1000 m3 1_NC DE_P_2012_1000 m3_1_NC
DE P 2012 1000 m3 1_1 DE_P_2012_1000 m3_1_1
DE P 2012 1000 m3 1_1_C DE_P_2012_1000 m3_1_1_C
DE P 2012 1000 m3 1_1_NC DE_P_2012_1000 m3_1_1_NC
DE P 2012 1000 m3 1_2 DE_P_2012_1000 m3_1_2
DE P 2012 1000 m3 1_2_C DE_P_2012_1000 m3_1_2_C
DE P 2012 1000 m3 1_2_NC DE_P_2012_1000 m3_1_2_NC
DE P 2012 1000 m3 1_2_1 DE_P_2012_1000 m3_1_2_1
DE P 2012 1000 m3 1_2_1_C DE_P_2012_1000 m3_1_2_1_C
DE P 2012 1000 m3 1_2_1_NC DE_P_2012_1000 m3_1_2_1_NC
DE P 2012 1000 m3 1_2_2 DE_P_2012_1000 m3_1_2_2
DE P 2012 1000 m3 1_2_2_C DE_P_2012_1000 m3_1_2_2_C
DE P 2012 1000 m3 1_2_2_NC DE_P_2012_1000 m3_1_2_2_NC
DE P 2012 1000 m3 1_2_3 DE_P_2012_1000 m3_1_2_3
DE P 2012 1000 m3 1_2_3_C DE_P_2012_1000 m3_1_2_3_C
DE P 2012 1000 m3 1_2_3_NC DE_P_2012_1000 m3_1_2_3_NC
DE P 2012 1000 mt 2 DE_P_2012_1000 mt_2
DE P 2012 1000 m3 3 DE_P_2012_1000 m3_3
DE P 2012 1000 m3 3_1 DE_P_2012_1000 m3_3_1
DE P 2012 1000 m3 3_2 DE_P_2012_1000 m3_3_2
DE P 2012 1000 mt 4 DE_P_2012_1000 mt_4
DE P 2012 1000 mt 4_1 DE_P_2012_1000 mt_4_1
DE P 2012 1000 mt 4_2 DE_P_2012_1000 mt_4_2
DE P 2012 1000 m3 5 DE_P_2012_1000 m3_5
DE P 2012 1000 m3 5_C DE_P_2012_1000 m3_5_C
DE P 2012 1000 m3 5_NC DE_P_2012_1000 m3_5_NC
DE P 2012 1000 m3 5_NC_T DE_P_2012_1000 m3_5_NC_T
DE P 2012 1000 m3 6 DE_P_2012_1000 m3_6
DE P 2012 1000 m3 6_1 DE_P_2012_1000 m3_6_1
DE P 2012 1000 m3 6_1_C DE_P_2012_1000 m3_6_1_C
DE P 2012 1000 m3 6_1_NC DE_P_2012_1000 m3_6_1_NC
DE P 2012 1000 m3 6_1_NC_T DE_P_2012_1000 m3_6_1_NC_T
DE P 2012 1000 m3 6_2 DE_P_2012_1000 m3_6_2
DE P 2012 1000 m3 6_2_C DE_P_2012_1000 m3_6_2_C
DE P 2012 1000 m3 6_2_NC DE_P_2012_1000 m3_6_2_NC
DE P 2012 1000 m3 6_2_NC_T DE_P_2012_1000 m3_6_2_NC_T
DE P 2012 1000 m3 6_3 DE_P_2012_1000 m3_6_3
DE P 2012 1000 m3 6_3_1 DE_P_2012_1000 m3_6_3_1
DE P 2012 1000 m3 6_4 DE_P_2012_1000 m3_6_4
DE P 2012 1000 m3 6_4_1 DE_P_2012_1000 m3_6_4_1
DE P 2012 1000 m3 6_4_2 DE_P_2012_1000 m3_6_4_2
DE P 2012 1000 m3 6_4_3 DE_P_2012_1000 m3_6_4_3
DE P 2012 1000 mt 7 DE_P_2012_1000 mt_7
DE P 2012 1000 mt 7_1 DE_P_2012_1000 mt_7_1
DE P 2012 1000 mt 7_2 DE_P_2012_1000 mt_7_2
DE P 2012 1000 mt 7_3 DE_P_2012_1000 mt_7_3
DE P 2012 1000 mt 7_3_1 DE_P_2012_1000 mt_7_3_1
DE P 2012 1000 mt 7_3_2 DE_P_2012_1000 mt_7_3_2
DE P 2012 1000 mt 7_3_3 DE_P_2012_1000 mt_7_3_3
DE P 2012 1000 mt 7_3_4 DE_P_2012_1000 mt_7_3_4
DE P 2012 1000 mt 7_4 DE_P_2012_1000 mt_7_4
DE P 2012 1000 mt 8 DE_P_2012_1000 mt_8
DE P 2012 1000 mt 8_1 DE_P_2012_1000 mt_8_1
DE P 2012 1000 mt 8_2 DE_P_2012_1000 mt_8_2
DE P 2012 1000 mt 9 DE_P_2012_1000 mt_9
DE P 2012 1000 mt 10 DE_P_2012_1000 mt_10
DE P 2012 1000 mt 10_1 DE_P_2012_1000 mt_10_1
DE P 2012 1000 mt 10_1_1 DE_P_2012_1000 mt_10_1_1
DE P 2012 1000 mt 10_1_2 DE_P_2012_1000 mt_10_1_2
DE P 2012 1000 mt 10_1_3 DE_P_2012_1000 mt_10_1_3
DE P 2012 1000 mt 10_1_4 DE_P_2012_1000 mt_10_1_4
DE P 2012 1000 mt 10_2 DE_P_2012_1000 mt_10_2
DE P 2012 1000 mt 10_3 DE_P_2012_1000 mt_10_3
DE P 2012 1000 mt 10_3_1 DE_P_2012_1000 mt_10_3_1
DE P 2012 1000 mt 10_3_2 DE_P_2012_1000 mt_10_3_2
DE P 2012 1000 mt 10_3_3 DE_P_2012_1000 mt_10_3_3
DE P 2012 1000 mt 10_3_4 DE_P_2012_1000 mt_10_3_4
DE P 2012 1000 mt 10_4 DE_P_2012_1000 mt_10_4
DE M 2012 1000 m3 1 DE_M_2012_1000 m3_1
DE M 2012 1000 m3 1_1 DE_M_2012_1000 m3_1_1
DE M 2012 1000 m3 1_2 DE_M_2012_1000 m3_1_2
DE M 2012 1000 m3 1_2_C DE_M_2012_1000 m3_1_2_C
DE M 2012 1000 m3 1_2_NC DE_M_2012_1000 m3_1_2_NC
DE M 2012 1000 m3 1_2_NC_T DE_M_2012_1000 m3_1_2_NC_T
DE M 2012 1000 mt 2 DE_M_2012_1000 mt_2
DE M 2012 1000 m3 3 DE_M_2012_1000 m3_3
DE M 2012 1000 m3 3_1 DE_M_2012_1000 m3_3_1
DE M 2012 1000 m3 3_2 DE_M_2012_1000 m3_3_2
DE M 2012 1000 mt 4 DE_M_2012_1000 mt_4
DE M 2012 1000 mt 4_1 DE_M_2012_1000 mt_4_1
DE M 2012 1000 mt 4_2 DE_M_2012_1000 mt_4_2
DE M 2012 1000 m3 5 DE_M_2012_1000 m3_5
DE M 2012 1000 m3 5_C DE_M_2012_1000 m3_5_C
DE M 2012 1000 m3 5_NC DE_M_2012_1000 m3_5_NC
DE M 2012 1000 m3 5_NC_T DE_M_2012_1000 m3_5_NC_T
DE M 2012 1000 m3 6 DE_M_2012_1000 m3_6
DE M 2012 1000 m3 6_1 DE_M_2012_1000 m3_6_1
DE M 2012 1000 m3 6_1_C DE_M_2012_1000 m3_6_1_C
DE M 2012 1000 m3 6_1_NC DE_M_2012_1000 m3_6_1_NC
DE M 2012 1000 m3 6_1_NC_T DE_M_2012_1000 m3_6_1_NC_T
DE M 2012 1000 m3 6_2 DE_M_2012_1000 m3_6_2
DE M 2012 1000 m3 6_2_C DE_M_2012_1000 m3_6_2_C
DE M 2012 1000 m3 6_2_NC DE_M_2012_1000 m3_6_2_NC
DE M 2012 1000 m3 6_2_NC_T DE_M_2012_1000 m3_6_2_NC_T
DE M 2012 1000 m3 6_3 DE_M_2012_1000 m3_6_3
DE M 2012 1000 m3 6_3_1 DE_M_2012_1000 m3_6_3_1
DE M 2012 1000 m3 6_4 DE_M_2012_1000 m3_6_4
DE M 2012 1000 m3 6_4_1 DE_M_2012_1000 m3_6_4_1
DE M 2012 1000 m3 6_4_2 DE_M_2012_1000 m3_6_4_2
DE M 2012 1000 m3 6_4_3 DE_M_2012_1000 m3_6_4_3
DE M 2012 1000 mt 7 DE_M_2012_1000 mt_7
DE M 2012 1000 mt 7_1 DE_M_2012_1000 mt_7_1
DE M 2012 1000 mt 7_2 DE_M_2012_1000 mt_7_2
DE M 2012 1000 mt 7_3 DE_M_2012_1000 mt_7_3
DE M 2012 1000 mt 7_3_1 DE_M_2012_1000 mt_7_3_1
DE M 2012 1000 mt 7_3_2 DE_M_2012_1000 mt_7_3_2
DE M 2012 1000 mt 7_3_3 DE_M_2012_1000 mt_7_3_3
DE M 2012 1000 mt 7_3_4 DE_M_2012_1000 mt_7_3_4
DE M 2012 1000 mt 7_4 DE_M_2012_1000 mt_7_4
DE M 2012 1000 mt 8 DE_M_2012_1000 mt_8
DE M 2012 1000 mt 8_1 DE_M_2012_1000 mt_8_1
DE M 2012 1000 mt 8_2 DE_M_2012_1000 mt_8_2
DE M 2012 1000 mt 9 DE_M_2012_1000 mt_9
DE M 2012 1000 mt 10 DE_M_2012_1000 mt_10
DE M 2012 1000 mt 10_1 DE_M_2012_1000 mt_10_1
DE M 2012 1000 mt 10_1_1 DE_M_2012_1000 mt_10_1_1
DE M 2012 1000 mt 10_1_2 DE_M_2012_1000 mt_10_1_2
DE M 2012 1000 mt 10_1_3 DE_M_2012_1000 mt_10_1_3
DE M 2012 1000 mt 10_1_4 DE_M_2012_1000 mt_10_1_4
DE M 2012 1000 mt 10_2 DE_M_2012_1000 mt_10_2
DE M 2012 1000 mt 10_3 DE_M_2012_1000 mt_10_3
DE M 2012 1000 mt 10_3_1 DE_M_2012_1000 mt_10_3_1
DE M 2012 1000 mt 10_3_2 DE_M_2012_1000 mt_10_3_2
DE M 2012 1000 mt 10_3_3 DE_M_2012_1000 mt_10_3_3
DE M 2012 1000 mt 10_3_4 DE_M_2012_1000 mt_10_3_4
DE M 2012 1000 mt 10_4 DE_M_2012_1000 mt_10_4
DE M 2012 1000 NAC 1 DE_M_2012_1000 NAC_1
DE M 2012 1000 NAC 1_1 DE_M_2012_1000 NAC_1_1
DE M 2012 1000 NAC 1_2 DE_M_2012_1000 NAC_1_2
DE M 2012 1000 NAC 1_2_C DE_M_2012_1000 NAC_1_2_C
DE M 2012 1000 NAC 1_2_NC DE_M_2012_1000 NAC_1_2_NC
DE M 2012 1000 NAC 1_2_NC_T DE_M_2012_1000 NAC_1_2_NC_T
DE M 2012 1000 NAC 2 DE_M_2012_1000 NAC_2
DE M 2012 1000 NAC 3 DE_M_2012_1000 NAC_3
DE M 2012 1000 NAC 3_1 DE_M_2012_1000 NAC_3_1
DE M 2012 1000 NAC 3_2 DE_M_2012_1000 NAC_3_2
DE M 2012 1000 NAC 4 DE_M_2012_1000 NAC_4
DE M 2012 1000 NAC 4_1 DE_M_2012_1000 NAC_4_1
DE M 2012 1000 NAC 4_2 DE_M_2012_1000 NAC_4_2
DE M 2012 1000 NAC 5 DE_M_2012_1000 NAC_5
DE M 2012 1000 NAC 5_C DE_M_2012_1000 NAC_5_C
DE M 2012 1000 NAC 5_NC DE_M_2012_1000 NAC_5_NC
DE M 2012 1000 NAC 5_NC_T DE_M_2012_1000 NAC_5_NC_T
DE M 2012 1000 NAC 6 DE_M_2012_1000 NAC_6
DE M 2012 1000 NAC 6_1 DE_M_2012_1000 NAC_6_1
DE M 2012 1000 NAC 6_1_C DE_M_2012_1000 NAC_6_1_C
DE M 2012 1000 NAC 6_1_NC DE_M_2012_1000 NAC_6_1_NC
DE M 2012 1000 NAC 6_1_NC_T DE_M_2012_1000 NAC_6_1_NC_T
DE M 2012 1000 NAC 6_2 DE_M_2012_1000 NAC_6_2
DE M 2012 1000 NAC 6_2_C DE_M_2012_1000 NAC_6_2_C
DE M 2012 1000 NAC 6_2_NC DE_M_2012_1000 NAC_6_2_NC
DE M 2012 1000 NAC 6_2_NC_T DE_M_2012_1000 NAC_6_2_NC_T
DE M 2012 1000 NAC 6_3 DE_M_2012_1000 NAC_6_3
DE M 2012 1000 NAC 6_3_1 DE_M_2012_1000 NAC_6_3_1
DE M 2012 1000 NAC 6_4 DE_M_2012_1000 NAC_6_4
DE M 2012 1000 NAC 6_4_1 DE_M_2012_1000 NAC_6_4_1
DE M 2012 1000 NAC 6_4_2 DE_M_2012_1000 NAC_6_4_2
DE M 2012 1000 NAC 6_4_3 DE_M_2012_1000 NAC_6_4_3
DE M 2012 1000 NAC 7 DE_M_2012_1000 NAC_7
DE M 2012 1000 NAC 7_1 DE_M_2012_1000 NAC_7_1
DE M 2012 1000 NAC 7_2 DE_M_2012_1000 NAC_7_2
DE M 2012 1000 NAC 7_3 DE_M_2012_1000 NAC_7_3
DE M 2012 1000 NAC 7_3_1 DE_M_2012_1000 NAC_7_3_1
DE M 2012 1000 NAC 7_3_2 DE_M_2012_1000 NAC_7_3_2
DE M 2012 1000 NAC 7_3_3 DE_M_2012_1000 NAC_7_3_3
DE M 2012 1000 NAC 7_3_4 DE_M_2012_1000 NAC_7_3_4
DE M 2012 1000 NAC 7_4 DE_M_2012_1000 NAC_7_4
DE M 2012 1000 NAC 8 DE_M_2012_1000 NAC_8
DE M 2012 1000 NAC 8_1 DE_M_2012_1000 NAC_8_1
DE M 2012 1000 NAC 8_2 DE_M_2012_1000 NAC_8_2
DE M 2012 1000 NAC 9 DE_M_2012_1000 NAC_9
DE M 2012 1000 NAC 10 DE_M_2012_1000 NAC_10
DE M 2012 1000 NAC 10_1 DE_M_2012_1000 NAC_10_1
DE M 2012 1000 NAC 10_1_1 DE_M_2012_1000 NAC_10_1_1
DE M 2012 1000 NAC 10_1_2 DE_M_2012_1000 NAC_10_1_2
DE M 2012 1000 NAC 10_1_3 DE_M_2012_1000 NAC_10_1_3
DE M 2012 1000 NAC 10_1_4 DE_M_2012_1000 NAC_10_1_4
DE M 2012 1000 NAC 10_2 DE_M_2012_1000 NAC_10_2
DE M 2012 1000 NAC 10_3 DE_M_2012_1000 NAC_10_3
DE M 2012 1000 NAC 10_3_1 DE_M_2012_1000 NAC_10_3_1
DE M 2012 1000 NAC 10_3_2 DE_M_2012_1000 NAC_10_3_2
DE M 2012 1000 NAC 10_3_3 DE_M_2012_1000 NAC_10_3_3
DE M 2012 1000 NAC 10_3_4 DE_M_2012_1000 NAC_10_3_4
DE M 2012 1000 NAC 10_4 DE_M_2012_1000 NAC_10_4
DE X 2012 1000 m3 1 DE_X_2012_1000 m3_1
DE X 2012 1000 m3 1_1 DE_X_2012_1000 m3_1_1
DE X 2012 1000 m3 1_2 DE_X_2012_1000 m3_1_2
DE X 2012 1000 m3 1_2_C DE_X_2012_1000 m3_1_2_C
DE X 2012 1000 m3 1_2_NC DE_X_2012_1000 m3_1_2_NC
DE X 2012 1000 m3 1_2_NC_T DE_X_2012_1000 m3_1_2_NC_T
DE X 2012 1000 mt 2 DE_X_2012_1000 mt_2
DE X 2012 1000 m3 3 DE_X_2012_1000 m3_3
DE X 2012 1000 m3 3_1 DE_X_2012_1000 m3_3_1
DE X 2012 1000 m3 3_2 DE_X_2012_1000 m3_3_2
DE X 2012 1000 mt 4 DE_X_2012_1000 mt_4
DE X 2012 1000 mt 4_1 DE_X_2012_1000 mt_4_1
DE X 2012 1000 mt 4_2 DE_X_2012_1000 mt_4_2
DE X 2012 1000 m3 5 DE_X_2012_1000 m3_5
DE X 2012 1000 m3 5_C DE_X_2012_1000 m3_5_C
DE X 2012 1000 m3 5_NC DE_X_2012_1000 m3_5_NC
DE X 2012 1000 m3 5_NC_T DE_X_2012_1000 m3_5_NC_T
DE X 2012 1000 m3 6 DE_X_2012_1000 m3_6
DE X 2012 1000 m3 6_1 DE_X_2012_1000 m3_6_1
DE X 2012 1000 m3 6_1_C DE_X_2012_1000 m3_6_1_C
DE X 2012 1000 m3 6_1_NC DE_X_2012_1000 m3_6_1_NC
DE X 2012 1000 m3 6_1_NC_T DE_X_2012_1000 m3_6_1_NC_T
DE X 2012 1000 m3 6_2 DE_X_2012_1000 m3_6_2
DE X 2012 1000 m3 6_2_C DE_X_2012_1000 m3_6_2_C
DE X 2012 1000 m3 6_2_NC DE_X_2012_1000 m3_6_2_NC
DE X 2012 1000 m3 6_2_NC_T DE_X_2012_1000 m3_6_2_NC_T
DE X 2012 1000 m3 6_3 DE_X_2012_1000 m3_6_3
DE X 2012 1000 m3 6_3_1 DE_X_2012_1000 m3_6_3_1
DE X 2012 1000 m3 6_4 DE_X_2012_1000 m3_6_4
DE X 2012 1000 m3 6_4_1 DE_X_2012_1000 m3_6_4_1
DE X 2012 1000 m3 6_4_2 DE_X_2012_1000 m3_6_4_2
DE X 2012 1000 m3 6_4_3 DE_X_2012_1000 m3_6_4_3
DE X 2012 1000 mt 7 DE_X_2012_1000 mt_7
DE X 2012 1000 mt 7_1 DE_X_2012_1000 mt_7_1
DE X 2012 1000 mt 7_2 DE_X_2012_1000 mt_7_2
DE X 2012 1000 mt 7_3 DE_X_2012_1000 mt_7_3
DE X 2012 1000 mt 7_3_1 DE_X_2012_1000 mt_7_3_1
DE X 2012 1000 mt 7_3_2 DE_X_2012_1000 mt_7_3_2
DE X 2012 1000 mt 7_3_3 DE_X_2012_1000 mt_7_3_3
DE X 2012 1000 mt 7_3_4 DE_X_2012_1000 mt_7_3_4
DE X 2012 1000 mt 7_4 DE_X_2012_1000 mt_7_4
DE X 2012 1000 mt 8 DE_X_2012_1000 mt_8
DE X 2012 1000 mt 8_1 DE_X_2012_1000 mt_8_1
DE X 2012 1000 mt 8_2 DE_X_2012_1000 mt_8_2
DE X 2012 1000 mt 9 DE_X_2012_1000 mt_9
DE X 2012 1000 mt 10 DE_X_2012_1000 mt_10
DE X 2012 1000 mt 10_1 DE_X_2012_1000 mt_10_1
DE X 2012 1000 mt 10_1_1 DE_X_2012_1000 mt_10_1_1
DE X 2012 1000 mt 10_1_2 DE_X_2012_1000 mt_10_1_2
DE X 2012 1000 mt 10_1_3 DE_X_2012_1000 mt_10_1_3
DE X 2012 1000 mt 10_1_4 DE_X_2012_1000 mt_10_1_4
DE X 2012 1000 mt 10_2 DE_X_2012_1000 mt_10_2
DE X 2012 1000 mt 10_3 DE_X_2012_1000 mt_10_3
DE X 2012 1000 mt 10_3_1 DE_X_2012_1000 mt_10_3_1
DE X 2012 1000 mt 10_3_2 DE_X_2012_1000 mt_10_3_2
DE X 2012 1000 mt 10_3_3 DE_X_2012_1000 mt_10_3_3
DE X 2012 1000 mt 10_3_4 DE_X_2012_1000 mt_10_3_4
DE X 2012 1000 mt 10_4 DE_X_2012_1000 mt_10_4
DE X 2012 1000 NAC 1 DE_X_2012_1000 NAC_1
DE X 2012 1000 NAC 1_1 DE_X_2012_1000 NAC_1_1
DE X 2012 1000 NAC 1_2 DE_X_2012_1000 NAC_1_2
DE X 2012 1000 NAC 1_2_C DE_X_2012_1000 NAC_1_2_C
DE X 2012 1000 NAC 1_2_NC DE_X_2012_1000 NAC_1_2_NC
DE X 2012 1000 NAC 1_2_NC_T DE_X_2012_1000 NAC_1_2_NC_T
DE X 2012 1000 NAC 2 DE_X_2012_1000 NAC_2
DE X 2012 1000 NAC 3 DE_X_2012_1000 NAC_3
DE X 2012 1000 NAC 3_1 DE_X_2012_1000 NAC_3_1
DE X 2012 1000 NAC 3_2 DE_X_2012_1000 NAC_3_2
DE X 2012 1000 NAC 4 DE_X_2012_1000 NAC_4
DE X 2012 1000 NAC 4_1 DE_X_2012_1000 NAC_4_1
DE X 2012 1000 NAC 4_2 DE_X_2012_1000 NAC_4_2
DE X 2012 1000 NAC 5 DE_X_2012_1000 NAC_5
DE X 2012 1000 NAC 5_C DE_X_2012_1000 NAC_5_C
DE X 2012 1000 NAC 5_NC DE_X_2012_1000 NAC_5_NC
DE X 2012 1000 NAC 5_NC_T DE_X_2012_1000 NAC_5_NC_T
DE X 2012 1000 NAC 6 DE_X_2012_1000 NAC_6
DE X 2012 1000 NAC 6_1 DE_X_2012_1000 NAC_6_1
DE X 2012 1000 NAC 6_1_C DE_X_2012_1000 NAC_6_1_C
DE X 2012 1000 NAC 6_1_NC DE_X_2012_1000 NAC_6_1_NC
DE X 2012 1000 NAC 6_1_NC_T DE_X_2012_1000 NAC_6_1_NC_T
DE X 2012 1000 NAC 6_2 DE_X_2012_1000 NAC_6_2
DE X 2012 1000 NAC 6_2_C DE_X_2012_1000 NAC_6_2_C
DE X 2012 1000 NAC 6_2_NC DE_X_2012_1000 NAC_6_2_NC
DE X 2012 1000 NAC 6_2_NC_T DE_X_2012_1000 NAC_6_2_NC_T
DE X 2012 1000 NAC 6_3 DE_X_2012_1000 NAC_6_3
DE X 2012 1000 NAC 6_3_1 DE_X_2012_1000 NAC_6_3_1
DE X 2012 1000 NAC 6_4 DE_X_2012_1000 NAC_6_4
DE X 2012 1000 NAC 6_4_1 DE_X_2012_1000 NAC_6_4_1
DE X 2012 1000 NAC 6_4_2 DE_X_2012_1000 NAC_6_4_2
DE X 2012 1000 NAC 6_4_3 DE_X_2012_1000 NAC_6_4_3
DE X 2012 1000 NAC 7 DE_X_2012_1000 NAC_7
DE X 2012 1000 NAC 7_1 DE_X_2012_1000 NAC_7_1
DE X 2012 1000 NAC 7_2 DE_X_2012_1000 NAC_7_2
DE X 2012 1000 NAC 7_3 DE_X_2012_1000 NAC_7_3
DE X 2012 1000 NAC 7_3_1 DE_X_2012_1000 NAC_7_3_1
DE X 2012 1000 NAC 7_3_2 DE_X_2012_1000 NAC_7_3_2
DE X 2012 1000 NAC 7_3_3 DE_X_2012_1000 NAC_7_3_3
DE X 2012 1000 NAC 7_3_4 DE_X_2012_1000 NAC_7_3_4
DE X 2012 1000 NAC 7_4 DE_X_2012_1000 NAC_7_4
DE X 2012 1000 NAC 8 DE_X_2012_1000 NAC_8
DE X 2012 1000 NAC 8_1 DE_X_2012_1000 NAC_8_1
DE X 2012 1000 NAC 8_2 DE_X_2012_1000 NAC_8_2
DE X 2012 1000 NAC 9 DE_X_2012_1000 NAC_9
DE X 2012 1000 NAC 10 DE_X_2012_1000 NAC_10
DE X 2012 1000 NAC 10_1 DE_X_2012_1000 NAC_10_1
DE X 2012 1000 NAC 10_1_1 DE_X_2012_1000 NAC_10_1_1
DE X 2012 1000 NAC 10_1_2 DE_X_2012_1000 NAC_10_1_2
DE X 2012 1000 NAC 10_1_3 DE_X_2012_1000 NAC_10_1_3
DE X 2012 1000 NAC 10_1_4 DE_X_2012_1000 NAC_10_1_4
DE X 2012 1000 NAC 10_2 DE_X_2012_1000 NAC_10_2
DE X 2012 1000 NAC 10_3 DE_X_2012_1000 NAC_10_3
DE X 2012 1000 NAC 10_3_1 DE_X_2012_1000 NAC_10_3_1
DE X 2012 1000 NAC 10_3_2 DE_X_2012_1000 NAC_10_3_2
DE X 2012 1000 NAC 10_3_3 DE_X_2012_1000 NAC_10_3_3
DE X 2012 1000 NAC 10_3_4 DE_X_2012_1000 NAC_10_3_4
DE X 2012 1000 NAC 10_4 DE_X_2012_1000 NAC_10_4
DE M 2012 1000 NAC 11_1 DE_M_2012_1000 NAC_11_1
DE M 2012 1000 NAC 11_1_C DE_M_2012_1000 NAC_11_1_C
DE M 2012 1000 NAC 11_1_NC DE_M_2012_1000 NAC_11_1_NC
DE M 2012 1000 NAC 11_1_NC_T DE_M_2012_1000 NAC_11_1_NC_T
DE M 2012 1000 NAC 11_2 DE_M_2012_1000 NAC_11_2
DE M 2012 1000 NAC 11_3 DE_M_2012_1000 NAC_11_3
DE M 2012 1000 NAC 11_4 DE_M_2012_1000 NAC_11_4
DE M 2012 1000 NAC 11_5 DE_M_2012_1000 NAC_11_5
DE M 2012 1000 NAC 11_6 DE_M_2012_1000 NAC_11_6
DE M 2012 1000 NAC 11_7 DE_M_2012_1000 NAC_11_7
DE M 2012 1000 NAC 11_7_1 DE_M_2012_1000 NAC_11_7_1
DE M 2012 1000 NAC 12_1 DE_M_2012_1000 NAC_12_1
DE M 2012 1000 NAC 12_2 DE_M_2012_1000 NAC_12_2
DE M 2012 1000 NAC 12_3 DE_M_2012_1000 NAC_12_3
DE M 2012 1000 NAC 12_4 DE_M_2012_1000 NAC_12_4
DE M 2012 1000 NAC 12_5 DE_M_2012_1000 NAC_12_5
DE M 2012 1000 NAC 12_6 DE_M_2012_1000 NAC_12_6
DE M 2012 1000 NAC 12_6_1 DE_M_2012_1000 NAC_12_6_1
DE M 2012 1000 NAC 12_6_2 DE_M_2012_1000 NAC_12_6_2
DE M 2012 1000 NAC 12_6_3 DE_M_2012_1000 NAC_12_6_3
DE M 2012 1000 NAC 12_7 DE_M_2012_1000 NAC_12_7
DE M 2012 1000 NAC 12_7_1 DE_M_2012_1000 NAC_12_7_1
DE M 2012 1000 NAC 12_7_2 DE_M_2012_1000 NAC_12_7_2
DE M 2012 1000 NAC 12_7_3 DE_M_2012_1000 NAC_12_7_3
DE X 2012 1000 NAC 11_1 DE_X_2012_1000 NAC_11_1
DE X 2012 1000 NAC 11_1_C DE_X_2012_1000 NAC_11_1_C
DE X 2012 1000 NAC 11_1_NC DE_X_2012_1000 NAC_11_1_NC
DE X 2012 1000 NAC 11_1_NC_T DE_X_2012_1000 NAC_11_1_NC_T
DE X 2012 1000 NAC 11_2 DE_X_2012_1000 NAC_11_2
DE X 2012 1000 NAC 11_3 DE_X_2012_1000 NAC_11_3
DE X 2012 1000 NAC 11_4 DE_X_2012_1000 NAC_11_4
DE X 2012 1000 NAC 11_5 DE_X_2012_1000 NAC_11_5
DE X 2012 1000 NAC 11_6 DE_X_2012_1000 NAC_11_6
DE X 2012 1000 NAC 11_7 DE_X_2012_1000 NAC_11_7
DE X 2012 1000 NAC 11_7_1 DE_X_2012_1000 NAC_11_7_1
DE X 2012 1000 NAC 12_1 DE_X_2012_1000 NAC_12_1
DE X 2012 1000 NAC 12_2 DE_X_2012_1000 NAC_12_2
DE X 2012 1000 NAC 12_3 DE_X_2012_1000 NAC_12_3
DE X 2012 1000 NAC 12_4 DE_X_2012_1000 NAC_12_4
DE X 2012 1000 NAC 12_5 DE_X_2012_1000 NAC_12_5
DE X 2012 1000 NAC 12_6 DE_X_2012_1000 NAC_12_6
DE X 2012 1000 NAC 12_6_1 DE_X_2012_1000 NAC_12_6_1
DE X 2012 1000 NAC 12_6_2 DE_X_2012_1000 NAC_12_6_2
DE X 2012 1000 NAC 12_6_3 DE_X_2012_1000 NAC_12_6_3
DE X 2012 1000 NAC 12_7 DE_X_2012_1000 NAC_12_7
DE X 2012 1000 NAC 12_7_1 DE_X_2012_1000 NAC_12_7_1
DE X 2012 1000 NAC 12_7_2 DE_X_2012_1000 NAC_12_7_2
DE X 2012 1000 NAC 12_7_3 DE_X_2012_1000 NAC_12_7_3
DE M 2012 1000 m3 ST_1_2_C DE_M_2012_1000 m3_ST_1_2_C
DE M 2012 1000 m3 ST_1_2_C_1 DE_M_2012_1000 m3_ST_1_2_C_1
DE M 2012 1000 m3 ST_1_2_C_1_1 DE_M_2012_1000 m3_ST_1_2_C_1_1
DE M 2012 1000 m3 ST_1_2_C_2_1 DE_M_2012_1000 m3_ST_1_2_C_2_1
DE M 2012 1000 m3 ST_1_2_C_2 DE_M_2012_1000 m3_ST_1_2_C_2
DE M 2012 1000 m3 ST_1_2_C_1_2 DE_M_2012_1000 m3_ST_1_2_C_1_2
DE M 2012 1000 m3 ST_1_2_C_2_2 DE_M_2012_1000 m3_ST_1_2_C_2_2
DE M 2012 1000 m3 ST_1_2_C_3 DE_M_2012_1000 m3_ST_1_2_C_3
DE M 2012 1000 m3 ST_1_2_C_1_3 DE_M_2012_1000 m3_ST_1_2_C_1_3
DE M 2012 1000 m3 ST_1_2_C_2_3 DE_M_2012_1000 m3_ST_1_2_C_2_3
DE M 2012 1000 m3 ST_1_2_NC DE_M_2012_1000 m3_ST_1_2_NC
DE M 2012 1000 m3 ST_1_2_NC_1 DE_M_2012_1000 m3_ST_1_2_NC_1
DE M 2012 1000 m3 ST_1_2_NC_1_1 DE_M_2012_1000 m3_ST_1_2_NC_1_1
DE M 2012 1000 m3 ST_1_2_NC_2_1 DE_M_2012_1000 m3_ST_1_2_NC_2_1
DE M 2012 1000 m3 ST_1_2_NC_2 DE_M_2012_1000 m3_ST_1_2_NC_2
DE M 2012 1000 m3 ST_1_2_NC_1_2 DE_M_2012_1000 m3_ST_1_2_NC_1_2
DE M 2012 1000 m3 ST_1_2_NC_2_2 DE_M_2012_1000 m3_ST_1_2_NC_2_2
DE M 2012 1000 m3 ST_1_2_NC_3 DE_M_2012_1000 m3_ST_1_2_NC_3
DE M 2012 1000 m3 ST_1_2_NC_1_3 DE_M_2012_1000 m3_ST_1_2_NC_1_3
DE M 2012 1000 m3 ST_1_2_NC_2_3 DE_M_2012_1000 m3_ST_1_2_NC_2_3
DE M 2012 1000 m3 ST_1_2_NC_4 DE_M_2012_1000 m3_ST_1_2_NC_4
DE M 2012 1000 m3 ST_1_2_NC_5 DE_M_2012_1000 m3_ST_1_2_NC_5
DE M 2012 1000 m3 ST_5_C DE_M_2012_1000 m3_ST_5_C
DE M 2012 1000 m3 ST_5_C_1 DE_M_2012_1000 m3_ST_5_C_1
DE M 2012 1000 m3 ST_5_C_2 DE_M_2012_1000 m3_ST_5_C_2
DE M 2012 1000 m3 ST_5_NC DE_M_2012_1000 m3_ST_5_NC
DE M 2012 1000 m3 ST_5_NC_1 DE_M_2012_1000 m3_ST_5_NC_1
DE M 2012 1000 m3 ST_5_NC_2 DE_M_2012_1000 m3_ST_5_NC_2
DE M 2012 1000 m3 ST_5_NC_3 DE_M_2012_1000 m3_ST_5_NC_3
DE M 2012 1000 m3 ST_5_NC_4 DE_M_2012_1000 m3_ST_5_NC_4
DE M 2012 1000 m3 ST_5_NC_5 DE_M_2012_1000 m3_ST_5_NC_5
DE M 2012 1000 m3 ST_5_NC_6 DE_M_2012_1000 m3_ST_5_NC_6
DE M 2012 1000 m3 ST_5_NC_7 DE_M_2012_1000 m3_ST_5_NC_7
DE M 2012 1000 NAC ST_1_2_C DE_M_2012_1000 NAC_ST_1_2_C
DE M 2012 1000 NAC ST_1_2_C_1 DE_M_2012_1000 NAC_ST_1_2_C_1
DE M 2012 1000 NAC ST_1_2_C_1_1 DE_M_2012_1000 NAC_ST_1_2_C_1_1
DE M 2012 1000 NAC ST_1_2_C_2_1 DE_M_2012_1000 NAC_ST_1_2_C_2_1
DE M 2012 1000 NAC ST_1_2_C_2 DE_M_2012_1000 NAC_ST_1_2_C_2
DE M 2012 1000 NAC ST_1_2_C_1_2 DE_M_2012_1000 NAC_ST_1_2_C_1_2
DE M 2012 1000 NAC ST_1_2_C_2_2 DE_M_2012_1000 NAC_ST_1_2_C_2_2
DE M 2012 1000 NAC ST_1_2_C_3 DE_M_2012_1000 NAC_ST_1_2_C_3
DE M 2012 1000 NAC ST_1_2_C_1_3 DE_M_2012_1000 NAC_ST_1_2_C_1_3
DE M 2012 1000 NAC ST_1_2_C_2_3 DE_M_2012_1000 NAC_ST_1_2_C_2_3
DE M 2012 1000 NAC ST_1_2_NC DE_M_2012_1000 NAC_ST_1_2_NC
DE M 2012 1000 NAC ST_1_2_NC_1 DE_M_2012_1000 NAC_ST_1_2_NC_1
DE M 2012 1000 NAC ST_1_2_NC_1_1 DE_M_2012_1000 NAC_ST_1_2_NC_1_1
DE M 2012 1000 NAC ST_1_2_NC_2_1 DE_M_2012_1000 NAC_ST_1_2_NC_2_1
DE M 2012 1000 NAC ST_1_2_NC_2 DE_M_2012_1000 NAC_ST_1_2_NC_2
DE M 2012 1000 NAC ST_1_2_NC_1_2 DE_M_2012_1000 NAC_ST_1_2_NC_1_2
DE M 2012 1000 NAC ST_1_2_NC_2_2 DE_M_2012_1000 NAC_ST_1_2_NC_2_2
DE M 2012 1000 NAC ST_1_2_NC_3 DE_M_2012_1000 NAC_ST_1_2_NC_3
DE M 2012 1000 NAC ST_1_2_NC_1_3 DE_M_2012_1000 NAC_ST_1_2_NC_1_3
DE M 2012 1000 NAC ST_1_2_NC_2_3 DE_M_2012_1000 NAC_ST_1_2_NC_2_3
DE M 2012 1000 NAC ST_1_2_NC_4 DE_M_2012_1000 NAC_ST_1_2_NC_4
DE M 2012 1000 NAC ST_1_2_NC_5 DE_M_2012_1000 NAC_ST_1_2_NC_5
DE M 2012 1000 NAC ST_5_C DE_M_2012_1000 NAC_ST_5_C
DE M 2012 1000 NAC ST_5_C_1 DE_M_2012_1000 NAC_ST_5_C_1
DE M 2012 1000 NAC ST_5_C_2 DE_M_2012_1000 NAC_ST_5_C_2
DE M 2012 1000 NAC ST_5_NC DE_M_2012_1000 NAC_ST_5_NC
DE M 2012 1000 NAC ST_5_NC_1 DE_M_2012_1000 NAC_ST_5_NC_1
DE M 2012 1000 NAC ST_5_NC_2 DE_M_2012_1000 NAC_ST_5_NC_2
DE M 2012 1000 NAC ST_5_NC_3 DE_M_2012_1000 NAC_ST_5_NC_3
DE M 2012 1000 NAC ST_5_NC_4 DE_M_2012_1000 NAC_ST_5_NC_4
DE M 2012 1000 NAC ST_5_NC_5 DE_M_2012_1000 NAC_ST_5_NC_5
DE M 2012 1000 NAC ST_5_NC_6 DE_M_2012_1000 NAC_ST_5_NC_6
DE M 2012 1000 NAC ST_5_NC_7 DE_M_2012_1000 NAC_ST_5_NC_7
DE X 2012 1000 m3 ST_1_2_C DE_X_2012_1000 m3_ST_1_2_C
DE X 2012 1000 m3 ST_1_2_C_1 DE_X_2012_1000 m3_ST_1_2_C_1
DE X 2012 1000 m3 ST_1_2_C_1_1 DE_X_2012_1000 m3_ST_1_2_C_1_1
DE X 2012 1000 m3 ST_1_2_C_2_1 DE_X_2012_1000 m3_ST_1_2_C_2_1
DE X 2012 1000 m3 ST_1_2_C_2 DE_X_2012_1000 m3_ST_1_2_C_2
DE X 2012 1000 m3 ST_1_2_C_1_2 DE_X_2012_1000 m3_ST_1_2_C_1_2
DE X 2012 1000 m3 ST_1_2_C_2_2 DE_X_2012_1000 m3_ST_1_2_C_2_2
DE X 2012 1000 m3 ST_1_2_C_3 DE_X_2012_1000 m3_ST_1_2_C_3
DE X 2012 1000 m3 ST_1_2_C_1_3 DE_X_2012_1000 m3_ST_1_2_C_1_3
DE X 2012 1000 m3 ST_1_2_C_2_3 DE_X_2012_1000 m3_ST_1_2_C_2_3
DE X 2012 1000 m3 ST_1_2_NC DE_X_2012_1000 m3_ST_1_2_NC
DE X 2012 1000 m3 ST_1_2_NC_1 DE_X_2012_1000 m3_ST_1_2_NC_1
DE X 2012 1000 m3 ST_1_2_NC_1_1 DE_X_2012_1000 m3_ST_1_2_NC_1_1
DE X 2012 1000 m3 ST_1_2_NC_2_1 DE_X_2012_1000 m3_ST_1_2_NC_2_1
DE X 2012 1000 m3 ST_1_2_NC_2 DE_X_2012_1000 m3_ST_1_2_NC_2
DE X 2012 1000 m3 ST_1_2_NC_1_2 DE_X_2012_1000 m3_ST_1_2_NC_1_2
DE X 2012 1000 m3 ST_1_2_NC_2_2 DE_X_2012_1000 m3_ST_1_2_NC_2_2
DE X 2012 1000 m3 ST_1_2_NC_3 DE_X_2012_1000 m3_ST_1_2_NC_3
DE X 2012 1000 m3 ST_1_2_NC_1_3 DE_X_2012_1000 m3_ST_1_2_NC_1_3
DE X 2012 1000 m3 ST_1_2_NC_2_3 DE_X_2012_1000 m3_ST_1_2_NC_2_3
DE X 2012 1000 m3 ST_1_2_NC_4 DE_X_2012_1000 m3_ST_1_2_NC_4
DE X 2012 1000 m3 ST_1_2_NC_5 DE_X_2012_1000 m3_ST_1_2_NC_5
DE X 2012 1000 m3 ST_5_C DE_X_2012_1000 m3_ST_5_C
DE X 2012 1000 m3 ST_5_C_1 DE_X_2012_1000 m3_ST_5_C_1
DE X 2012 1000 m3 ST_5_C_2 DE_X_2012_1000 m3_ST_5_C_2
DE X 2012 1000 m3 ST_5_NC DE_X_2012_1000 m3_ST_5_NC
DE X 2012 1000 m3 ST_5_NC_1 DE_X_2012_1000 m3_ST_5_NC_1
DE X 2012 1000 m3 ST_5_NC_2 DE_X_2012_1000 m3_ST_5_NC_2
DE X 2012 1000 m3 ST_5_NC_3 DE_X_2012_1000 m3_ST_5_NC_3
DE X 2012 1000 m3 ST_5_NC_4 DE_X_2012_1000 m3_ST_5_NC_4
DE X 2012 1000 m3 ST_5_NC_5 DE_X_2012_1000 m3_ST_5_NC_5
DE X 2012 1000 m3 ST_5_NC_6 DE_X_2012_1000 m3_ST_5_NC_6
DE X 2012 1000 m3 ST_5_NC_7 DE_X_2012_1000 m3_ST_5_NC_7
DE X 2012 1000 NAC ST_1_2_C DE_X_2012_1000 NAC_ST_1_2_C
DE X 2012 1000 NAC ST_1_2_C_1 DE_X_2012_1000 NAC_ST_1_2_C_1
DE X 2012 1000 NAC ST_1_2_C_1_1 DE_X_2012_1000 NAC_ST_1_2_C_1_1
DE X 2012 1000 NAC ST_1_2_C_2_1 DE_X_2012_1000 NAC_ST_1_2_C_2_1
DE X 2012 1000 NAC ST_1_2_C_2 DE_X_2012_1000 NAC_ST_1_2_C_2
DE X 2012 1000 NAC ST_1_2_C_1_2 DE_X_2012_1000 NAC_ST_1_2_C_1_2
DE X 2012 1000 NAC ST_1_2_C_2_2 DE_X_2012_1000 NAC_ST_1_2_C_2_2
DE X 2012 1000 NAC ST_1_2_C_3 DE_X_2012_1000 NAC_ST_1_2_C_3
DE X 2012 1000 NAC ST_1_2_C_1_3 DE_X_2012_1000 NAC_ST_1_2_C_1_3
DE X 2012 1000 NAC ST_1_2_C_2_3 DE_X_2012_1000 NAC_ST_1_2_C_2_3
DE X 2012 1000 NAC ST_1_2_NC DE_X_2012_1000 NAC_ST_1_2_NC
DE X 2012 1000 NAC ST_1_2_NC_1 DE_X_2012_1000 NAC_ST_1_2_NC_1
DE X 2012 1000 NAC ST_1_2_NC_1_1 DE_X_2012_1000 NAC_ST_1_2_NC_1_1
DE X 2012 1000 NAC ST_1_2_NC_2_1 DE_X_2012_1000 NAC_ST_1_2_NC_2_1
DE X 2012 1000 NAC ST_1_2_NC_2 DE_X_2012_1000 NAC_ST_1_2_NC_2
DE X 2012 1000 NAC ST_1_2_NC_1_2 DE_X_2012_1000 NAC_ST_1_2_NC_1_2
DE X 2012 1000 NAC ST_1_2_NC_2_2 DE_X_2012_1000 NAC_ST_1_2_NC_2_2
DE X 2012 1000 NAC ST_1_2_NC_3 DE_X_2012_1000 NAC_ST_1_2_NC_3
DE X 2012 1000 NAC ST_1_2_NC_1_3 DE_X_2012_1000 NAC_ST_1_2_NC_1_3
DE X 2012 1000 NAC ST_1_2_NC_2_3 DE_X_2012_1000 NAC_ST_1_2_NC_2_3
DE X 2012 1000 NAC ST_1_2_NC_4 DE_X_2012_1000 NAC_ST_1_2_NC_4
DE X 2012 1000 NAC ST_1_2_NC_5 DE_X_2012_1000 NAC_ST_1_2_NC_5
DE X 2012 1000 NAC ST_5_C DE_X_2012_1000 NAC_ST_5_C
DE X 2012 1000 NAC ST_5_C_1 DE_X_2012_1000 NAC_ST_5_C_1
DE X 2012 1000 NAC ST_5_C_2 DE_X_2012_1000 NAC_ST_5_C_2
DE X 2012 1000 NAC ST_5_NC DE_X_2012_1000 NAC_ST_5_NC
DE X 2012 1000 NAC ST_5_NC_1 DE_X_2012_1000 NAC_ST_5_NC_1
DE X 2012 1000 NAC ST_5_NC_2 DE_X_2012_1000 NAC_ST_5_NC_2
DE X 2012 1000 NAC ST_5_NC_3 DE_X_2012_1000 NAC_ST_5_NC_3
DE X 2012 1000 NAC ST_5_NC_4 DE_X_2012_1000 NAC_ST_5_NC_4
DE X 2012 1000 NAC ST_5_NC_5 DE_X_2012_1000 NAC_ST_5_NC_5
DE X 2012 1000 NAC ST_5_NC_6 DE_X_2012_1000 NAC_ST_5_NC_6
DE X 2012 1000 NAC ST_5_NC_7 DE_X_2012_1000 NAC_ST_5_NC_7
DE EX_M 2012 1000 m3 1 DE_EX_M_2012_1000 m3_1
DE EX_M 2012 1000 m3 1_1 DE_EX_M_2012_1000 m3_1_1
DE EX_M 2012 1000 m3 1_2 DE_EX_M_2012_1000 m3_1_2
DE EX_M 2012 1000 m3 1_2_C DE_EX_M_2012_1000 m3_1_2_C
DE EX_M 2012 1000 m3 1_2_NC DE_EX_M_2012_1000 m3_1_2_NC
DE EX_M 2012 1000 m3 1_2_NC_T DE_EX_M_2012_1000 m3_1_2_NC_T
DE EX_M 2012 1000 mt 2 DE_EX_M_2012_1000 mt_2
DE EX_M 2012 1000 m3 3 DE_EX_M_2012_1000 m3_3
DE EX_M 2012 1000 m3 3_1 DE_EX_M_2012_1000 m3_3_1
DE EX_M 2012 1000 m3 3_2 DE_EX_M_2012_1000 m3_3_2
DE EX_M 2012 1000 mt 4 DE_EX_M_2012_1000 mt_4
DE EX_M 2012 1000 mt 4_1 DE_EX_M_2012_1000 mt_4_1
DE EX_M 2012 1000 mt 4_2 DE_EX_M_2012_1000 mt_4_2
DE EX_M 2012 1000 m3 5 DE_EX_M_2012_1000 m3_5
DE EX_M 2012 1000 m3 5_C DE_EX_M_2012_1000 m3_5_C
DE EX_M 2012 1000 m3 5_NC DE_EX_M_2012_1000 m3_5_NC
DE EX_M 2012 1000 m3 5_NC_T DE_EX_M_2012_1000 m3_5_NC_T
DE EX_M 2012 1000 m3 6 DE_EX_M_2012_1000 m3_6
DE EX_M 2012 1000 m3 6_1 DE_EX_M_2012_1000 m3_6_1
DE EX_M 2012 1000 m3 6_1_C DE_EX_M_2012_1000 m3_6_1_C
DE EX_M 2012 1000 m3 6_1_NC DE_EX_M_2012_1000 m3_6_1_NC
DE EX_M 2012 1000 m3 6_1_NC_T DE_EX_M_2012_1000 m3_6_1_NC_T
DE EX_M 2012 1000 m3 6_2 DE_EX_M_2012_1000 m3_6_2
DE EX_M 2012 1000 m3 6_2_C DE_EX_M_2012_1000 m3_6_2_C
DE EX_M 2012 1000 m3 6_2_NC DE_EX_M_2012_1000 m3_6_2_NC
DE EX_M 2012 1000 m3 6_2_NC_T DE_EX_M_2012_1000 m3_6_2_NC_T
DE EX_M 2012 1000 m3 6_3 DE_EX_M_2012_1000 m3_6_3
DE EX_M 2012 1000 m3 6_3_1 DE_EX_M_2012_1000 m3_6_3_1
DE EX_M 2012 1000 m3 6_4 DE_EX_M_2012_1000 m3_6_4
DE EX_M 2012 1000 m3 6_4_1 DE_EX_M_2012_1000 m3_6_4_1
DE EX_M 2012 1000 m3 6_4_2 DE_EX_M_2012_1000 m3_6_4_2
DE EX_M 2012 1000 m3 6_4_3 DE_EX_M_2012_1000 m3_6_4_3
DE EX_M 2012 1000 mt 7 DE_EX_M_2012_1000 mt_7
DE EX_M 2012 1000 mt 7_1 DE_EX_M_2012_1000 mt_7_1
DE EX_M 2012 1000 mt 7_2 DE_EX_M_2012_1000 mt_7_2
DE EX_M 2012 1000 mt 7_3 DE_EX_M_2012_1000 mt_7_3
DE EX_M 2012 1000 mt 7_3_1 DE_EX_M_2012_1000 mt_7_3_1
DE EX_M 2012 1000 mt 7_3_2 DE_EX_M_2012_1000 mt_7_3_2
DE EX_M 2012 1000 mt 7_3_3 DE_EX_M_2012_1000 mt_7_3_3
DE EX_M 2012 1000 mt 7_3_4 DE_EX_M_2012_1000 mt_7_3_4
DE EX_M 2012 1000 mt 7_4 DE_EX_M_2012_1000 mt_7_4
DE EX_M 2012 1000 mt 8 DE_EX_M_2012_1000 mt_8
DE EX_M 2012 1000 mt 8_1 DE_EX_M_2012_1000 mt_8_1
DE EX_M 2012 1000 mt 8_2 DE_EX_M_2012_1000 mt_8_2
DE EX_M 2012 1000 mt 9 DE_EX_M_2012_1000 mt_9
DE EX_M 2012 1000 mt 10 DE_EX_M_2012_1000 mt_10
DE EX_M 2012 1000 mt 10_1 DE_EX_M_2012_1000 mt_10_1
DE EX_M 2012 1000 mt 10_1_1 DE_EX_M_2012_1000 mt_10_1_1
DE EX_M 2012 1000 mt 10_1_2 DE_EX_M_2012_1000 mt_10_1_2
DE EX_M 2012 1000 mt 10_1_3 DE_EX_M_2012_1000 mt_10_1_3
DE EX_M 2012 1000 mt 10_1_4 DE_EX_M_2012_1000 mt_10_1_4
DE EX_M 2012 1000 mt 10_2 DE_EX_M_2012_1000 mt_10_2
DE EX_M 2012 1000 mt 10_3 DE_EX_M_2012_1000 mt_10_3
DE EX_M 2012 1000 mt 10_3_1 DE_EX_M_2012_1000 mt_10_3_1
DE EX_M 2012 1000 mt 10_3_2 DE_EX_M_2012_1000 mt_10_3_2
DE EX_M 2012 1000 mt 10_3_3 DE_EX_M_2012_1000 mt_10_3_3
DE EX_M 2012 1000 mt 10_3_4 DE_EX_M_2012_1000 mt_10_3_4
DE EX_M 2012 1000 mt 10_4 DE_EX_M_2012_1000 mt_10_4
DE EX_M 2012 1000 NAC 1 DE_EX_M_2012_1000 NAC_1
DE EX_M 2012 1000 NAC 1_1 DE_EX_M_2012_1000 NAC_1_1
DE EX_M 2012 1000 NAC 1_2 DE_EX_M_2012_1000 NAC_1_2
DE EX_M 2012 1000 NAC 1_2_C DE_EX_M_2012_1000 NAC_1_2_C
DE EX_M 2012 1000 NAC 1_2_NC DE_EX_M_2012_1000 NAC_1_2_NC
DE EX_M 2012 1000 NAC 1_2_NC_T DE_EX_M_2012_1000 NAC_1_2_NC_T
DE EX_M 2012 1000 NAC 2 DE_EX_M_2012_1000 NAC_2
DE EX_M 2012 1000 NAC 3 DE_EX_M_2012_1000 NAC_3
DE EX_M 2012 1000 NAC 3_1 DE_EX_M_2012_1000 NAC_3_1
DE EX_M 2012 1000 NAC 3_2 DE_EX_M_2012_1000 NAC_3_2
DE EX_M 2012 1000 NAC 4 DE_EX_M_2012_1000 NAC_4
DE EX_M 2012 1000 NAC 4_1 DE_EX_M_2012_1000 NAC_4_1
DE EX_M 2012 1000 NAC 4_2 DE_EX_M_2012_1000 NAC_4_2
DE EX_M 2012 1000 NAC 5 DE_EX_M_2012_1000 NAC_5
DE EX_M 2012 1000 NAC 5_C DE_EX_M_2012_1000 NAC_5_C
DE EX_M 2012 1000 NAC 5_NC DE_EX_M_2012_1000 NAC_5_NC
DE EX_M 2012 1000 NAC 5_NC_T DE_EX_M_2012_1000 NAC_5_NC_T
DE EX_M 2012 1000 NAC 6 DE_EX_M_2012_1000 NAC_6
DE EX_M 2012 1000 NAC 6_1 DE_EX_M_2012_1000 NAC_6_1
DE EX_M 2012 1000 NAC 6_1_C DE_EX_M_2012_1000 NAC_6_1_C
DE EX_M 2012 1000 NAC 6_1_NC DE_EX_M_2012_1000 NAC_6_1_NC
DE EX_M 2012 1000 NAC 6_1_NC_T DE_EX_M_2012_1000 NAC_6_1_NC_T
DE EX_M 2012 1000 NAC 6_2 DE_EX_M_2012_1000 NAC_6_2
DE EX_M 2012 1000 NAC 6_2_C DE_EX_M_2012_1000 NAC_6_2_C
DE EX_M 2012 1000 NAC 6_2_NC DE_EX_M_2012_1000 NAC_6_2_NC
DE EX_M 2012 1000 NAC 6_2_NC_T DE_EX_M_2012_1000 NAC_6_2_NC_T
DE EX_M 2012 1000 NAC 6_3 DE_EX_M_2012_1000 NAC_6_3
DE EX_M 2012 1000 NAC 6_3_1 DE_EX_M_2012_1000 NAC_6_3_1
DE EX_M 2012 1000 NAC 6_4 DE_EX_M_2012_1000 NAC_6_4
DE EX_M 2012 1000 NAC 6_4_1 DE_EX_M_2012_1000 NAC_6_4_1
DE EX_M 2012 1000 NAC 6_4_2 DE_EX_M_2012_1000 NAC_6_4_2
DE EX_M 2012 1000 NAC 6_4_3 DE_EX_M_2012_1000 NAC_6_4_3
DE EX_M 2012 1000 NAC 7 DE_EX_M_2012_1000 NAC_7
DE EX_M 2012 1000 NAC 7_1 DE_EX_M_2012_1000 NAC_7_1
DE EX_M 2012 1000 NAC 7_2 DE_EX_M_2012_1000 NAC_7_2
DE EX_M 2012 1000 NAC 7_3 DE_EX_M_2012_1000 NAC_7_3
DE EX_M 2012 1000 NAC 7_3_1 DE_EX_M_2012_1000 NAC_7_3_1
DE EX_M 2012 1000 NAC 7_3_2 DE_EX_M_2012_1000 NAC_7_3_2
DE EX_M 2012 1000 NAC 7_3_3 DE_EX_M_2012_1000 NAC_7_3_3
DE EX_M 2012 1000 NAC 7_3_4 DE_EX_M_2012_1000 NAC_7_3_4
DE EX_M 2012 1000 NAC 7_4 DE_EX_M_2012_1000 NAC_7_4
DE EX_M 2012 1000 NAC 8 DE_EX_M_2012_1000 NAC_8
DE EX_M 2012 1000 NAC 8_1 DE_EX_M_2012_1000 NAC_8_1
DE EX_M 2012 1000 NAC 8_2 DE_EX_M_2012_1000 NAC_8_2
DE EX_M 2012 1000 NAC 9 DE_EX_M_2012_1000 NAC_9
DE EX_M 2012 1000 NAC 10 DE_EX_M_2012_1000 NAC_10
DE EX_M 2012 1000 NAC 10_1 DE_EX_M_2012_1000 NAC_10_1
DE EX_M 2012 1000 NAC 10_1_1 DE_EX_M_2012_1000 NAC_10_1_1
DE EX_M 2012 1000 NAC 10_1_2 DE_EX_M_2012_1000 NAC_10_1_2
DE EX_M 2012 1000 NAC 10_1_3 DE_EX_M_2012_1000 NAC_10_1_3
DE EX_M 2012 1000 NAC 10_1_4 DE_EX_M_2012_1000 NAC_10_1_4
DE EX_M 2012 1000 NAC 10_2 DE_EX_M_2012_1000 NAC_10_2
DE EX_M 2012 1000 NAC 10_3 DE_EX_M_2012_1000 NAC_10_3
DE EX_M 2012 1000 NAC 10_3_1 DE_EX_M_2012_1000 NAC_10_3_1
DE EX_M 2012 1000 NAC 10_3_2 DE_EX_M_2012_1000 NAC_10_3_2
DE EX_M 2012 1000 NAC 10_3_3 DE_EX_M_2012_1000 NAC_10_3_3
DE EX_M 2012 1000 NAC 10_3_4 DE_EX_M_2012_1000 NAC_10_3_4
DE EX_M 2012 1000 NAC 10_4 DE_EX_M_2012_1000 NAC_10_4
DE EX_X 2012 1000 m3 1 DE_EX_X_2012_1000 m3_1
DE EX_X 2012 1000 m3 1_1 DE_EX_X_2012_1000 m3_1_1
DE EX_X 2012 1000 m3 1_2 DE_EX_X_2012_1000 m3_1_2
DE EX_X 2012 1000 m3 1_2_C DE_EX_X_2012_1000 m3_1_2_C
DE EX_X 2012 1000 m3 1_2_NC DE_EX_X_2012_1000 m3_1_2_NC
DE EX_X 2012 1000 m3 1_2_NC_T DE_EX_X_2012_1000 m3_1_2_NC_T
DE EX_X 2012 1000 mt 2 DE_EX_X_2012_1000 mt_2
DE EX_X 2012 1000 m3 3 DE_EX_X_2012_1000 m3_3
DE EX_X 2012 1000 m3 3_1 DE_EX_X_2012_1000 m3_3_1
DE EX_X 2012 1000 m3 3_2 DE_EX_X_2012_1000 m3_3_2
DE EX_X 2012 1000 mt 4 DE_EX_X_2012_1000 mt_4
DE EX_X 2012 1000 mt 4_1 DE_EX_X_2012_1000 mt_4_1
DE EX_X 2012 1000 mt 4_2 DE_EX_X_2012_1000 mt_4_2
DE EX_X 2012 1000 m3 5 DE_EX_X_2012_1000 m3_5
DE EX_X 2012 1000 m3 5_C DE_EX_X_2012_1000 m3_5_C
DE EX_X 2012 1000 m3 5_NC DE_EX_X_2012_1000 m3_5_NC
DE EX_X 2012 1000 m3 5_NC_T DE_EX_X_2012_1000 m3_5_NC_T
DE EX_X 2012 1000 m3 6 DE_EX_X_2012_1000 m3_6
DE EX_X 2012 1000 m3 6_1 DE_EX_X_2012_1000 m3_6_1
DE EX_X 2012 1000 m3 6_1_C DE_EX_X_2012_1000 m3_6_1_C
DE EX_X 2012 1000 m3 6_1_NC DE_EX_X_2012_1000 m3_6_1_NC
DE EX_X 2012 1000 m3 6_1_NC_T DE_EX_X_2012_1000 m3_6_1_NC_T
DE EX_X 2012 1000 m3 6_2 DE_EX_X_2012_1000 m3_6_2
DE EX_X 2012

Market Forecast Tables 2021

These tables show forest products production and trade forecasts for 2021 and 2022.  These cover roundwood (logs, pulpwood and fuel wood), sawnwood (coniferous and non-coniferous), wood-based panels (plywood, particle board, OSB and fibreboard), pulp, paper and wood pellets.  The forecast data are provided by national correspondents and approved at the meeting of the Committee on Forests and the Forest Industry.

Languages and translations
English

UNITED NATIONS

Economic and Social Council

Committee on Forests and the Forest Industry

22-25 November 2021

TIMBER FORECASTS

PRODUCTION AND TRADE

DATA FOR 2020-2022

Table 1 – Sawn Softwood Table 2 – Sawn Hardwood (total) Table 2a – Sawn Hardwood (temperate) Table 2b – Sawn Hardwood (tropical) Table 3 – Veneer Sheets Table 4 – Plywood Table 5 – Particle Board (excluding OSB) Table 5a – Oriented Strand Board Table 6 – Fibreboard Table 6a – Hardboard Table 6b – MDF Table 6c – Other Fibreboard

UNECE COFFI and FAO EFC Foresta2021 page 1

Table 7 – Wood Pulp Table 8 – Paper and Paperboard Table 9 – Removals of wood in the rough Table 9a – Removals of wood in the rough (softwood) Table 9b – Removals of wood in the rough (hardwood) Table 10 – Softwood logs Table 11 – Hardwood logs Table 11a – Hardwood logs (temperate) Table 11b – Hardwood logs (tropical) Table 12 – Pulpwood Table 12a – Pulpwood (softwood) Table 12b – Pulpwood (hardwood) Table 12c – Wood Residues, Chips and Particles Table 13 – Wood Pellets Table 14 – Europe: Summary of Market Forecast Table 15 – North America: Summary of Market Forecast Table 16 – Russian Federation: Summary of Market Forecast Table 17 - Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (average) and 2016 to 2020 Table 18 - Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022 Table 19 - United States: Apparent consumption and imports of selected forest products 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022

Data as of November 26, 2021.

UNECE COFFI and FAO EFC Foresta2021 page 2

Notes Data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subregion. Austrian removals data do not include trees outside the forest. Wood chip trade includes recovered post-consumer wood. German estimates of removals for 2021 and 2022 are highly sensitive to assumptions of beetle damage and drought, and significant inventory swings. Actual consumption in 2021 is higher than indicated due to use of stocks built up in 2018-2020. Actual consumption of pellets in 2020 should be approximately 300,000 mt less than the indicated figure as this amount was stored by new market participants. Italy MDF/HDF production data include only MDF. Montenegro removal figures are from Directorate of Forests, other figures are based on Statistical Office information. Slovenia trade figures are lower than actual as they do not include estimates for non-recorded trade with other EU countries. Polish trade data exclude non-reporters (estimated at 1-3% of total). Residues exclude recovered wood. Polish sawnwood data exclude shop lumber. Wood pulp production is in metric tonnes, not air-dried, and excludes recovered fibre pulp. Wood pellets production data includes briquettes and non-wood based material. United Kingdom production figures for OSB and wood pulp are secretariat estimates. Data on wood chips and residues for Turkey include those from secondary processing. For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year. Countries with nil, missing or confidential data for all years on a table are not shown. Consumption figures are the sum of production and national imports minus national exports. Softwood = coniferous, hardwood = non-coniferous.

UNECE COFFI and FAO EFC Foresta2021 page 3

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 6 165 6 650 6 700 10 339 10 800 11 300 1 777 1 950 1 600 5 951 6 100 6 200 Autriche Bosnia-Herzegovina 226 189 204 810 779 812 7 10 12 590 600 620 Bosnie-Herzegovine Cyprus 29 31 31 1 1 1 28 30 30 0 0 0 Chypre Czech Republic 2 343 1 875 1 924 5 213 5 015 5 144 483 460 480 3 352 3 600 3 700 République tchèque Estonia 2 073 2 420 2 420 1 700 1 700 1 700 1 364 1 720 1 720 991 1 000 1 000 Estonie Finland 3 252 3 280 3 280 10 880 12 000 12 200 569 480 480 8 198 9 200 9 400 Finlande France 8 187 8 492 8 400 6 798 7 000 7 000 2 437 2 484 2 400 1 048 992 1 000 France Germany 20 630 22 300 22 500 25 216 27 000 27 000 5 519 6 300 6 000 10 105 11 000 10 500 Allemagne Hungary 910 858 858 120 134 134 796 768 768 7 44 44 Hongrie Ireland 492 937 997 1 012 1 312 1 397 310 375 400 830 750 800 Irlande Italy 3 714 4 412 4 412 274 342 342 3 740 4 282 4 282 300 213 213 Italie Latvia 1 383 1 600 1 300 3 311 3 000 3 000 1 106 1 600 1 300 3 034 3 000 3 000 Lettonie Luxembourg 54 54 54 39 39 39 27 27 27 12 12 12 Luxembourg Malta 7 6 7 0 0 0 7 6 7 0 0 0 Malte Montenegro 32 32 32 129 129 129 9 9 9 106 106 106 Monténégro Netherlands 2 631 2 520 2 600 95 100 100 3 132 2 900 3 000 596 480 500 Pays-Bas North Macedonia 24 24 24 2 2 2 23 23 23 0 0 0 Macédoine du Nord Poland 4 460 4 550 4 600 4 181 4 300 4 400 1 237 1 250 1 300 958 1 000 1 100 Pologne Portugal 770 770 780 874 880 890 133 120 130 237 230 240 Portugal Serbia 401 438 453 112 130 135 291 310 320 2 2 2 Serbie Slovakia 576 650 700 1 182 1 000 1 050 352 400 400 959 750 750 Slovaquie Slovenia 704 392 439 877 717 729 657 670 690 830 995 980 Slovénie Spain 2 436 3 446 3 712 1 813 2 773 2 940 829 977 1 044 206 304 272 Espagne Sweden 5 123 6 300 6 300 18 500 18 900 18 800 599 500 400 13 976 13 100 12 900 Suède Switzerland 1 216 1 245 1 275 1 120 1 150 1 180 293 280 275 197 185 180 Suisse Turkey 6 337 6 396 6 396 6 091 6 150 6 150 380 380 380 134 134 134 Turquie United Kingdom 9 772 10 769 11 137 3 302 3 633 3 633 6 677 7 345 7 712 208 208 208 Royaume-Uni Total Europe 83 947 90 637 91 535 103 993 108 986 110 207 32 780 35 655 35 188 52 826 54 004 53 861 Total Europe Armenia 182 182 182 0 0 0 182 182 182 0 0 0 Arménie Moldova 221 221 221 2 2 2 219 219 219 0 0 0 Moldova Russia 9 127 10 145 11 250 38 918 40 086 42 090 42 42 42 29 833 29 982 30 882 Russie Total EECCA 9 530 10 549 11 653 38 920 40 088 42 092 444 444 444 29 833 29 983 30 882 Total EOCAC Canada a 13 784 20 386 22 353 39 397 42 849 44 890 631 645 704 26 243 23 108 23 241 Canada a

United States a 86 118 87 846 88 690 62 446 63 831 64 874 25 631 26 033 25 875 1 959 2 019 2 059 Etats-Unis a

Total North America 99 902 108 231 111 043 101 843 106 680 109 764 26 261 26 678 26 579 28 202 25 127 25 300 Total Amérique du Nord a converted from nominal to actual size using factor of 0.72 a convertis du dimension nominale au véritable avec une facteur du 0.72

Production Imports - Importations

TABLE 1

Apparent Consumption Consommation Apparente Pays

SAWN SOFTWOOD SCIAGES CONIFERES

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 4

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 273 285 295 237 265 275 165 170 180 129 150 160 Autriche Bosnia-Herzegovina 1 224 1 190 1 230 1 350 1 320 1 360 129 120 130 256 250 260 Bosnie-Herzegovine Cyprus 7 9 9 0 0 0 7 9 9 0 0 0 Chypre Czech Republic 388 385 387 145 145 146 288 290 292 45 50 51 République tchèque Estonia 131 180 180 100 100 100 146 180 180 115 100 100 Estonie Finland 47 42 42 36 36 36 31 31 31 20 25 25 Finlande France 1 143 1 183 1 240 1 336 1 400 1 450 276 281 290 469 499 500 France Germany 660 642 640 962 1 010 1 000 379 416 400 681 784 760 Allemagne Hungary 53 215 215 280 334 334 49 81 81 276 201 201 Hongrie Ireland 29 41 42 2 8 9 29 35 35 3 2 2 Irlande Italy 986 1 259 1 259 612 826 826 521 631 631 147 197 197 Italie Latvia 174 160 200 588 650 600 45 70 50 459 560 450 Lettonie Luxembourg 57 57 57 39 39 39 40 40 40 22 22 22 Luxembourg Malta 7 6 7 0 0 0 7 6 7 0 0 0 Malte Montenegro -23 -23 -23 2 2 2 3 3 3 29 29 29 Monténégro Netherlands 347 328 333 54 51 51 380 357 362 87 80 80 Pays-Bas North Macedonia 5 5 5 5 5 5 5 5 5 5 5 5 Macédoine du Nord Poland 515 540 550 486 510 530 250 280 300 221 250 280 Pologne Portugal 223 219 210 148 149 150 96 100 100 22 30 40 Portugal Serbia 141 155 170 358 375 390 91 95 100 308 315 320 Serbie Slovakia 389 400 425 340 350 400 165 150 150 116 100 125 Slovaquie Slovenia 121 136 136 125 141 141 98 100 100 102 105 105 Slovénie Spain 545 609 693 487 523 544 109 113 178 51 27 29 Espagne Sweden 106 118 103 100 120 110 44 38 30 37 40 37 Suède Switzerland 74 80 85 50 55 60 44 40 40 20 15 15 Suisse Turkey 2 599 2 562 2 562 2 837 2 800 2 800 71 71 71 309 309 309 Turquie United Kingdom 555 555 555 37 37 37 541 541 541 23 23 23 Royaume-Un Total Europe 10 775 11 339 11 607 10 717 11 252 11 395 4 008 4 254 4 336 3 950 4 167 4 124 Total Europe Armenia 2 2 2 0 0 0 2 2 2 1 1 1 Arménie Moldova 12 12 12 9 9 9 4 4 4 0 0 0 Moldova Russia 1 341 1 381 1 479 2 879 2 965 3 143 6 6 6 1 544 1 590 1 670 Russie Total EECCA 1 355 1 395 1 493 2 888 2 974 3 152 12 12 12 1 545 1 591 1 670 Total EOCAC Canada 1 261 1 350 1 350 997 942 855 753 880 959 489 472 464 Canada United States 13 806 14 204 14 409 16 688 16 874 17 009 630 672 692 3 511 3 342 3 293 Etats-Unis Total North America 15 067 15 554 15 759 17 685 17 816 17 864 1 383 1 552 1 651 4 000 3 814 3 757 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 2

Apparent Consumption Consommation Apparente Pays

SAWN HARDWOOD (total) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

SCIAGES NON-CONIFERES (total)

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 5

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 269 281 291 237 265 275 161 165 175 129 149 159 Autriche Bosnia-Herzegovina 1 219 1 186 1 226 1 347 1 318 1 358 128 118 128 256 250 260 Bosnie-Herzegovine Cyprus 5 6 6 0 0 0 5 6 6 0 0 0 Chypre Czech Republic 381 379 381 145 145 146 279 281 283 43 48 48 République tchèque Estonia 129 177 177 100 100 100 141 175 175 112 98 98 Estonie Finland 45 41 41 36 36 36 26 27 27 17 22 22 Finlande France 1 007 1 042 1 101 1 325 1 387 1 437 148 150 160 466 495 496 France Germany 624 602 602 961 1 009 999 313 350 338 650 757 735 Allemagne Hungary 53 215 215 280 334 334 49 81 81 276 201 201 Hongrie Ireland 16 27 28 2 8 9 16 21 21 3 2 2 Irlande Italy 869 1 157 1 157 595 821 821 412 525 525 138 188 188 Italie Latvia 174 160 200 588 650 600 45 70 50 459 560 450 Lettonie Luxembourg 52 52 52 39 39 39 34 34 34 22 22 22 Luxembourg Malta 6 6 7 0 0 0 6 6 7 0 0 0 Malte Montenegro -23 -23 -23 2 2 2 3 3 3 29 29 29 Monténégro Netherlands 179 169 174 48 45 45 183 174 179 52 50 50 Pays-Bas North Macedonia 5 5 5 5 5 5 4 4 4 5 5 5 Macédoine du Nord Poland 500 524 534 483 507 527 233 262 282 216 245 275 Pologne Portugal 176 174 163 133 134 135 53 55 50 11 15 22 Portugal Serbia 138 152 167 357 374 389 89 93 98 308 315 320 Serbie Slovakia 389 397 422 340 350 400 165 147 147 116 100 125 Slovaquie Slovenia 119 135 135 125 141 141 95 98 98 102 105 105 Slovénie Spain 501 558 631 486 520 541 63 60 114 47 22 24 Espagne Sweden 105 117 102 100 120 110 42 37 29 37 40 37 Suède Switzerland 65 71 76 47 52 57 38 34 34 20 15 15 Suisse Turkey 2 563 2 526 2 526 2 832 2 795 2 795 39 39 39 308 308 308 Turquie United Kingdom 489 489 489 37 37 37 470 470 470 18 18 18 Royaume-Un Total Europe 10 051 10 623 10 882 10 650 11 195 11 338 3 239 3 486 3 557 3 838 4 057 4 013 Total Europe Armenia 2 2 2 0 0 0 2 2 2 1 1 1 Arménie Moldova 12 12 12 9 9 9 3 3 3 0 0 0 Moldova Russia 1 336 1 376 1 474 2 879 2 965 3 143 1 1 1 1 544 1 590 1 670 Russie Total EECCA 1 350 1 390 1 488 2 888 2 974 3 152 7 7 7 1 545 1 591 1 670 Total EOCAC Canada 1 242 1 350 1 354 997 942 855 728 870 950 482 462 451 Canada United States 13 691 14 076 14 275 16 688 16 874 17 009 469 500 516 3 465 3 298 3 250 Etats-Unis Total North America 14 933 15 427 15 629 17 685 17 816 17 864 1 196 1 370 1 466 3 948 3 760 3 701 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 2a

Apparent Consumption Consommation Apparente Pays

SAWN HARDWOOD (temperate) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

SCIAGES NON-CONIFERES (zone tempérée)

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 6

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 4 4 4 0 0 0 5 5 5 1 1 1 Autriche Bosnia-Herzegovina 4 4 4 3 2 2 1 2 2 0 0 0 Bosnie-Herzegovine Bulgaria 0 0 0 0 0 0 0 0 0 0 0 0 Bulgarie Cyprus 2 3 3 0 0 0 2 3 3 0 0 0 Chypre Czech Republic 7 6 6 0 0 0 10 9 9 2 2 3 République tchèque Estonia 2 3 3 0 0 0 5 5 5 2 2 2 Estonie Finland 1 1 1 0 0 0 4 4 4 3 3 3 Finlande France 136 141 139 11 13 13 128 131 130 3 4 4 France Germany 36 40 38 1 1 1 66 66 62 31 27 25 Allemagne Ireland 13 14 14 0 0 0 13 14 14 0 0 0 Irlande Italy 118 102 102 17 5 5 109 106 106 9 9 9 Italie Luxembourg 6 5 5 0 0 0 6 6 6 0 0 0 Luxembourg Malta 1 0 0 0 0 0 1 0 0 0 0 0 Malte Netherlands 168 159 159 6 6 6 197 183 183 35 30 30 Pays-Bas North Macedonia 1 1 1 0 0 0 1 1 1 0 0 0 Macédoine du Nord Poland 15 16 16 3 3 3 17 18 18 5 5 5 Pologne Portugal 47 45 47 15 15 15 43 45 50 11 15 18 Portugal Serbia 3 3 3 1 1 1 2 2 2 0 0 0 Serbie Slovakia 0 3 3 0 0 0 0 3 3 0 0 0 Slovaquie Slovenia 2 1 2 0 0 0 2 2 2 0 0 1 Slovénie Spain 44 51 62 2 3 3 46 53 64 4 5 5 Espagne Sweden 1 1 1 0 0 0 1 1 1 0 0 0 Suède Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse Turkey 36 36 36 5 5 5 32 32 32 1 1 1 Turquie United Kingdom 67 67 67 0 0 0 71 71 71 5 5 5 Royaume-Un Total Europe 724 715 725 68 57 57 769 768 779 113 110 111 Total Europe Russia 5 5 5 0 0 0 5 5 5 0 0 0 Russie Total EECCA 5 5 5 0 0 0 5 5 5 0 0 0 Total EOCAC Canada 19 0 -4 0 0 0 25 10 9 6 10 13 Canada United States 115 128 134 0 0 0 161 172 177 46 44 43 Etats-Unis Total North America 134 128 130 0 0 0 186 182 186 53 54 56 Total Amérique du Nord

TABLE 2b

Apparent Consumption Consommation Apparente Pays

SAWN HARDWOOD (tropical) SCIAGES NON-CONIFERES (tropicale)

1000 m3

Exports - ExportationsCountry

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 7

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 45 55 55 8 8 8 55 66 66 17 19 19 Autriche Bosnia-Herzegovina 40 42 42 38 40 42 8 12 12 6 10 12 Bosnie-Herzegovine Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre Czech Republic 21 35 36 29 29 29 38 60 61 47 55 55 République tchèque Estonia 78 55 55 71 70 70 64 80 80 57 95 95 Estonie Finland 13 12 12 152 173 173 7 9 9 146 170 170 Finlande France 185 200 200 157 160 160 134 140 140 106 100 100 France Germany 150 147 141 100 100 100 104 90 82 55 43 41 Allemagne Hungary 83 85 85 35 43 43 69 69 69 21 27 27 Hongrie Ireland 4 4 4 0 0 0 5 5 5 1 1 1 Irlande Italy 254 277 277 107 107 107 174 206 206 27 36 36 Italie Latvia 120 125 125 0 0 0 148 150 150 28 25 25 Lettonie Luxembourg 0 0 0 0 0 0 0 0 0 0 0 0 Luxembourg Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte Netherlands 18 18 18 0 0 0 30 30 30 12 12 12 Pays-Bas North Macedonia 9 9 9 0 0 0 10 10 10 1 1 1 Macédoine du Nord Poland 98 101 107 39 41 45 74 75 78 15 15 16 Pologne Portugal 2 10 5 25 45 40 48 30 35 71 65 70 Portugal Serbia 21 23 24 28 30 31 13 14 15 20 21 22 Serbie Slovakia 22 25 25 21 20 20 19 20 20 17 15 15 Slovaquie Slovenia 10 3 5 19 18 18 12 14 14 22 29 27 Slovénie Spain 142 155 176 69 106 106 106 92 119 33 42 49 Espagne Sweden 21 27 23 60 65 60 12 15 13 51 53 50 Suède Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse Turkey 78 78 78 75 75 75 16 16 16 13 13 13 Turquie United Kingdom 20 20 20 0 0 0 22 22 22 2 2 2 Royaume-Un Total Europe 1 438 1 511 1 527 1 032 1 130 1 127 1 175 1 231 1 259 769 850 859 Total Europe Armenia 0 0 0 0 0 0 0 0 0 0 0 0 Arménie Moldova 15 15 15 0 0 0 15 15 15 0 0 0 Moldova Russia 1 096 1 440 1 692 1 570 1 963 2 257 13 13 13 487 535 578 Russie Total EECCA 1 111 1 455 1 707 1 570 1 963 2 257 28 28 28 487 535 578 Total EOCAC Canada 178 119 111 581 565 565 145 193 203 549 639 656 Canada United States 2 668 2 778 2 851 2 284 2 370 2 445 600 629 632 215 221 226 Etats-Unis Total North America 2 846 2 896 2 962 2 866 2 934 3 010 745 822 835 764 860 883 Total Amérique du Nord Note: Definition of veneers excludes domestic use for plywood. La définition des placages exclus la conversion directe en contreplaqué.

Production Imports - Importations

TABLE 3

Apparent Consumption Consommation Apparente Pays

VENEER SHEETS FEUILLES DE PLACAGE

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 8

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 102 62 62 167 167 167 234 275 275 299 380 380 Autriche Bosnia-Herzegovina 26 25 29 28 30 32 15 12 15 16 17 18 Bosnie-Herzegovine Cyprus 17 19 19 0 0 0 17 19 19 0 0 0 Chypre Czech Republic 207 163 167 263 257 262 129 100 105 186 195 200 République tchèque Estonia 82 88 88 165 170 170 93 125 125 176 207 207 Estonie Finland 290 320 320 990 1 170 1 140 128 120 120 828 970 940 Finlande France 550 581 620 234 240 250 477 501 530 161 160 160 France Germany 1 146 840 1 000 100 100 100 1 410 1 100 1 250 363 360 350 Allemagne Hungary 265 275 275 49 58 58 375 310 310 159 93 93 Hongrie Ireland 57 55 57 0 0 0 57 55 57 0 0 0 Irlande Italy 422 528 528 265 265 265 348 464 464 191 201 201 Italie Latvia 61 45 45 318 310 310 100 95 95 357 360 360 Lettonie Luxembourg 8 8 8 0 0 0 10 10 10 2 2 2 Luxembourg Malta 10 12 14 0 0 0 10 12 14 0 0 0 Malte Montenegro 4 4 4 0 0 0 5 5 5 1 1 1 Monténégro Netherlands 546 585 585 0 0 0 635 670 670 89 85 85 Pays-Bas North Macedonia 27 27 27 0 0 0 28 28 28 1 1 1 Macédoine du Nord Poland 590 630 650 483 510 530 415 430 450 309 310 330 Pologne Portugal 195 115 122 91 0 0 118 130 140 14 15 18 Portugal Serbia 36 37 39 11 12 13 31 32 33 6 7 7 Serbie Slovakia 364 380 380 417 425 425 67 75 75 120 120 120 Slovaquie Slovenia 61 83 90 95 109 120 45 64 60 78 90 90 Slovénie Spain 449 501 483 508 580 590 147 202 200 206 281 307 Espagne Sweden 294 250 255 90 95 90 235 195 195 30 40 30 Suède Switzerland 202 209 214 7 7 7 198 205 210 3 3 3 Suisse Turkey 147 147 147 105 105 105 85 85 85 43 43 43 Turquie United Kingdom 1 280 1 280 1 280 0 0 0 1 362 1 362 1 362 83 83 83 Royaume-Un Total Europe 7 436 7 269 7 508 4 386 4 610 4 634 6 771 6 681 6 902 3 721 4 022 4 028 Total Europe Armenia 102 102 102 0 0 0 102 102 102 0 0 0 Arménie Moldova 8 8 8 3 3 3 8 8 8 3 3 3 Moldova Russia 1 215 1 443 1 509 3 999 4 599 4 829 120 126 126 2 904 3 282 3 446 Russie Total EECCA 1 325 1 554 1 619 4 003 4 602 4 832 230 236 236 2 907 3 284 3 448 Total EOCAC Canada 2 377 2 777 2 823 1 673 1 874 1 828 1 248 1 495 1 585 543 592 589 Canada United States 14 029 14 637 14 944 9 500 9 875 10 168 5 058 5 304 5 330 528 542 555 Etats-Unis Total North America 16 406 17 415 17 767 11 172 11 749 11 996 6 305 6 799 6 915 1 071 1 134 1 144 Total Amérique du Nord

TABLE 4

Apparent Consumption Consommation Apparente Pays

PLYWOOD CONTREPLAQUES

1000 m3

Exports - Exportations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Country Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 9

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 719 798 803 2 330 2 480 2 500 308 320 325 1 919 2 002 2 022 Autriche Bosnia-Herzegovina 168 164 165 12 13 12 157 153 155 1 2 2 Bosnie-Herzegovine Cyprus 43 42 42 0 0 0 43 42 42 0 0 0 Chypre Czech Republic 281 400 436 774 1 010 1 040 315 320 323 809 930 927 République tchèque Estonia 170 185 185 180 210 210 73 74 74 83 99 99 Estonie Finland 144 135 135 88 88 88 76 77 77 20 30 30 Finlande France 1 592 2 160 2 508 2 233 2 633 3 033 579 591 640 1 219 1 065 1 165 France Germany 5 789 5 660 5 815 5 556 5 550 5 575 1 903 1 660 1 840 1 670 1 550 1 600 Allemagne Hungary 319 405 405 334 355 355 326 352 352 340 302 302 Hongrie Ireland 101 114 114 0 0 0 116 130 130 16 16 16 Irlande Italy 2 743 2 716 2 716 2 568 2 568 2 568 634 780 780 459 632 632 Italie Latvia 162 160 160 396 400 400 49 50 50 283 290 290 Lettonie Luxembourg 22 22 22 0 0 0 26 26 26 4 4 4 Luxembourg Malta 10 10 10 0 0 0 10 10 10 0 0 0 Malte Montenegro 18 18 18 0 0 0 18 18 18 0 0 0 Monténégro Netherlands 376 404 404 0 0 0 456 484 484 81 80 80 Pays-Bas North Macedonia 95 95 95 0 0 0 96 96 96 1 1 1 Macédoine du Nord Poland 6 640 6 640 6 650 5 739 5 670 5 670 1 626 1 650 1 680 724 680 700 Pologne Portugal 549 647 693 700 710 720 288 365 412 438 428 439 Portugal Serbia 349 362 364 217 220 223 193 195 197 61 53 56 Serbie Slovakia 238 235 235 598 625 625 146 110 110 506 500 500 Slovaquie Slovenia 143 163 157 0 0 0 147 168 160 4 5 4 Slovénie Spain 1 586 1 566 1 544 1 783 1 847 1 855 446 616 645 643 897 956 Espagne Sweden 874 908 895 568 580 565 386 415 410 80 87 80 Suède Switzerland 262 280 300 366 380 390 126 125 130 230 225 220 Suisse Turkey 3 234 3 234 3 234 4 075 4 075 4 075 29 29 29 870 870 870 Turquie United Kingdom 2 203 2 465 2 465 1 698 1 897 1 897 590 649 649 86 81 81 Royaume-Un Total Europe 28 830 29 988 30 569 30 215 31 311 31 801 9 162 9 505 9 844 10 548 10 828 11 075 Total Europe Armenia 122 122 122 0 0 0 122 122 122 0 0 0 Arménie Moldova 93 93 93 0 0 0 93 93 93 0 0 0 Moldova Russia 5 289 6 123 6 498 6 731 7 146 7 535 299 670 789 1 741 1 692 1 825 Russie Total EECCA 5 504 6 337 6 713 6 731 7 146 7 535 514 884 1 004 1 741 1 692 1 825 Total EOCAC Canada 2 010 1 360 1 227 2 277 1 791 1 748 492 609 621 759 1 041 1 142 Canada United States 5 237 5 408 5 515 4 136 4 465 4 553 1 462 1 334 1 359 361 391 398 Etats-Unis Total North America 7 247 6 768 6 742 6 413 6 257 6 302 1 954 1 943 1 980 1 121 1 432 1 539 Total Amérique du Nord Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.

Production Imports - Importations

TABLE 5

Apparent Consumption Consommation Apparente Pays

PARTICLE BOARD (excluding OSB) PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 10

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 177 212 212 0 0 0 182 220 220 5 8 8 Autriche Bosnia-Herzegovina 21 27 30 9 10 12 12 17 19 0 0 1 Bosnie-Herzegovine Cyprus 20 18 18 0 0 0 20 18 18 0 0 0 Chypre Czech Republic 335 260 282 937 745 770 155 165 175 757 650 663 République tchèque Estonia 44 45 45 0 0 0 45 46 46 1 1 1 Estonie Finland 49 49 49 0 0 0 49 49 49 0 0 0 Finlande France 450 440 442 367 367 367 118 109 110 35 35 35 France Germany 1 569 1 640 1 635 1 234 1 250 1 275 846 840 860 511 450 500 Allemagne Hungary 120 124 124 359 332 332 77 60 60 316 268 268 Hongrie Ireland 47 47 47 296 296 296 0 0 0 249 249 249 Irlande Italy 302 302 302 100 100 100 231 231 231 29 29 29 Italie Latvia 116 70 70 698 650 650 71 70 70 653 650 650 Lettonie Luxembourg 76 76 76 338 338 338 7 7 7 269 269 269 Luxembourg Montenegro 3 3 3 0 0 0 3 3 3 0 0 0 Monténégro Netherlands 167 185 185 0 0 0 171 190 190 4 5 5 Pays-Bas North Macedonia 11 11 11 0 0 0 11 11 11 0 0 0 Macédoine du Nord Poland 666 710 750 833 930 980 246 200 220 413 420 450 Pologne Portugal 36 33 37 0 0 0 37 35 38 1 2 1 Portugal Serbia 62 66 69 0 0 0 66 70 73 4 4 4 Serbie Slovakia 91 90 90 0 0 0 91 90 90 1 0 0 Slovaquie Slovenia 34 39 38 0 0 0 35 42 40 1 3 2 Slovénie Spain 11 4 7 2 3 3 34 37 38 25 37 34 Espagne Sweden 140 125 125 0 0 0 146 130 130 6 5 5 Suède Switzerland 90 90 90 0 0 0 90 90 90 0 0 0 Suisse Turkey 170 170 170 75 75 75 101 101 101 6 6 6 Turquie United Kingdom 852 901 901 598 598 598 414 455 455 160 152 152 Royaume-Uni Total Europe 5 659 5 737 5 808 5 846 5 695 5 797 3 260 3 286 3 344 3 447 3 244 3 332 Total Europe Armenia 4 4 4 0 0 0 4 4 4 0 0 0 Arménie Belarus 0 0 0 0 0 0 0 0 0 0 0 0 Bélarus Moldova 34 34 34 0 0 0 34 34 34 0 0 0 Moldova Russia 1 615 1 078 1 260 1 626 1 627 1 953 351 176 140 362 725 833 Russie Total EECCA 1 653 1 116 1 298 1 626 1 627 1 953 389 213 178 362 725 834 Total EOCAC Canada 1 501 1 410 1 341 6 629 7 156 7 199 123 121 120 5 251 5 866 5 978 Canada United States 18 584 19 345 19 723 13 713 14 088 14 366 5 066 5 459 5 561 195 201 204 Etats-Unis Total North America 20 085 20 756 21 064 20 342 21 243 21 565 5 188 5 580 5 681 5 446 6 068 6 183 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 5a

Apparent Consumption Consommation Apparente Pays

ORIENTED STRAND BOARD (OSB) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

PANNEAUX STRUCTURAUX ORIENTES (OSB)

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 11

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 436 454 467 576 650 652 339 361 373 479 557 558 Autriche Bosnia-Herzegovina 107 119 125 7 9 10 101 110 117 0 0 2 Bosnie-Herzegovine Cyprus 15 16 16 0 0 0 15 16 16 0 0 0 Chypre Czech Republic 290 194 202 44 45 46 493 406 415 247 256 259 République tchèque Estonia 56 57 57 65 65 65 69 75 75 78 83 83 Estonie Finland 164 150 150 49 49 49 156 148 148 42 47 47 Finlande France 624 794 995 912 1 061 1 161 1 013 1 055 1 058 1 301 1 322 1 224 France Germany 4 097 4 155 4 235 5 801 5 850 5 900 1 784 1 835 1 940 3 488 3 530 3 605 Allemagne Hungary 409 409 409 451 451 451 167 167 167 209 209 209 Hongrie Ireland 168 109 109 512 512 512 102 115 115 445 518 518 Irlande Italy 1 403 1 417 1 417 827 827 827 796 926 926 220 337 337 Italie Latvia 35 32 32 0 0 0 57 53 53 22 21 21 Lettonie Luxembourg 47 47 47 147 147 147 19 19 19 119 119 119 Luxembourg Malta 6 7 8 0 0 0 6 7 8 0 0 0 Malte Montenegro 14 14 14 0 0 0 14 14 14 0 0 0 Monténégro Netherlands 463 469 469 29 29 29 541 585 585 107 145 145 Pays-Bas North Macedonia 53 53 53 0 0 0 53 53 53 0 0 0 Macédoine du Nord Poland 3 676 3 855 4 055 4 844 4 960 5 110 851 875 945 2 019 1 980 2 000 Pologne Portugal 382 391 386 443 453 457 320 323 326 382 385 397 Portugal Serbia 124 133 134 24 26 27 134 143 145 34 36 38 Serbie Slovakia 201 210 210 0 0 0 224 230 230 23 20 20 Slovaquie Slovenia 23 23 23 118 128 128 49 71 60 144 176 165 Slovénie Spain 1 038 1 012 1 138 1 535 1 714 1 874 371 444 465 869 1 146 1 201 Espagne Sweden 268 307 295 0 0 0 347 390 375 78 83 80 Suède Switzerland 272 292 302 192 205 210 263 266 266 183 179 174 Suisse Turkey 4 623 4 623 4 623 4 835 4 835 4 835 74 74 74 286 286 286 Turquie United Kingdom 1 475 1 487 1 487 656 656 656 879 889 889 59 58 58 Royaume-Un Total Europe 20 470 20 828 21 457 22 067 22 672 23 146 9 238 9 650 9 857 10 835 11 494 11 546 Total Europe Armenia 63 63 63 0 0 0 63 63 63 0 0 0 Arménie Moldova 37 37 37 0 0 0 37 37 37 0 0 0 Moldova Russia 2 802 3 415 3 674 3 581 4 301 4 635 459 591 637 1 238 1 476 1 597 Russie Total EECCA 2 902 3 515 3 775 3 581 4 301 4 635 559 691 737 1 238 1 476 1 597 Total EOCAC Canada 1 219 1 573 1 583 1 290 1 340 1 340 761 1 066 1 074 832 832 831 Canada United States 8 244 8 244 8 244 6 058 6 058 6 058 2 876 2 876 2 876 690 690 690 Etats-Unis Total North America 9 463 9 818 9 827 7 348 7 398 7 398 3 638 3 942 3 951 1 523 1 522 1 521 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 6

Apparent Consumption Consommation Apparente Pays

FIBREBOARD Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

PANNEAUX DE FIBRES

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 12

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 35 30 32 66 70 72 18 17 18 49 57 58 Autriche Bosnia-Herzegovina 11 13 16 1 1 1 10 12 15 0 0 0 Bosnie-Herzegovine Cyprus 2 2 2 0 0 0 2 2 2 0 0 0 Chypre Czech Republic 6 55 57 0 0 0 55 67 68 49 11 11 République tchèque Estonia 26 25 25 0 0 0 28 30 30 3 5 5 Estonie Finland 33 24 24 49 49 49 21 18 18 37 43 43 Finlande France -135 -135 -135 87 87 87 225 225 225 447 447 447 France Germany 203 205 210 0 0 0 231 235 240 28 30 30 Allemagne Hungary 27 27 27 2 2 2 35 35 35 10 10 10 Hongrie Ireland 22 20 20 0 0 0 22 20 20 0 0 0 Irlande Italy 109 109 109 16 16 16 105 105 105 12 12 12 Italie Latvia 13 13 13 0 0 0 15 15 15 2 2 2 Lettonie Luxembourg 5 5 5 0 0 0 5 5 5 0 0 0 Luxembourg Malta 0 1 1 0 0 0 0 1 1 0 0 0 Malte Montenegro 2 2 2 0 0 0 2 2 2 0 0 0 Monténégro Netherlands 43 45 45 0 0 0 64 65 65 21 20 20 Pays-Bas North Macedonia 10 10 10 0 0 0 10 10 10 0 0 0 Macédoine du Nord Poland -157 -80 -10 91 110 110 151 160 180 398 350 300 Pologne Portugal 21 28 25 12 19 20 28 29 30 19 20 25 Portugal Serbia 35 39 40 24 26 27 30 33 34 19 20 21 Serbie Slovakia 22 20 20 0 0 0 23 20 20 1 0 0 Slovaquie Slovenia 1 2 2 0 0 0 9 9 9 8 7 7 Slovénie Spain -4 13 12 32 40 41 34 50 48 70 77 77 Espagne Sweden 71 70 69 0 0 0 81 82 80 10 12 11 Suède Switzerland 13 13 13 0 0 0 21 21 21 8 8 8 Suisse Turkey 7 7 7 0 0 0 57 57 57 50 50 50 Turquie United Kingdom 96 96 96 0 0 0 101 101 101 4 4 4 Royaume-Un Total Europe 517 659 736 380 420 425 1 384 1 425 1 453 1 246 1 186 1 142 Total Europe Armenia 4 4 4 0 0 0 4 4 4 0 0 0 Arménie Moldova 16 16 16 0 0 0 16 16 16 0 0 0 Moldova Russia 322 390 350 370 450 400 100 100 100 148 160 150 Russie Total EECCA 341 409 369 370 450 400 119 119 119 148 160 150 Total EOCAC Canada 63 81 75 90 90 90 65 93 93 92 102 108 Canada United States 211 211 211 212 212 212 238 238 238 239 239 239 Etats-Unis Total North America 274 292 286 302 302 302 303 331 331 331 341 347 Total Amérique du Nord

TABLE 6a

Apparent Consumption Consommation Apparente Pays

HARDBOARD PANNEAUX DURS

1000 m3

Exports - ExportationsCountry

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 13

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 255 259 260 510 580 580 170 174 175 425 495 495 Autriche Bosnia-Herzegovina 88 94 96 5 6 7 83 88 90 0 0 1 Bosnie-Herzegovine Cyprus 12 13 13 0 0 0 12 13 13 0 0 0 Chypre Czech Republic 198 87 91 44 45 46 253 154 158 99 112 113 République tchèque Estonia 22 23 23 0 0 0 38 41 41 16 18 18 Estonie Finland 111 106 106 0 0 0 115 110 110 4 4 4 Finlande France 706 859 1 060 751 900 1 000 716 757 760 761 798 700 France Germany 2 314 2 325 2 375 4 600 4 625 4 650 593 600 650 2 879 2 900 2 925 Allemagne Hungary 355 355 355 430 430 430 117 117 117 193 193 193 Hongrie Ireland 74 89 89 438 438 438 80 95 95 445 445 445 Irlande Italy 1 229 1 243 1 243 809 809 809 627 757 757 207 323 323 Italie Latvia 21 18 18 0 0 0 23 20 20 2 2 2 Lettonie Luxembourg 37 37 37 147 147 147 9 9 9 119 119 119 Luxembourg Malta 5 5 6 0 0 0 5 5 6 0 0 0 Malte Montenegro 6 6 6 0 0 0 6 6 6 0 0 0 Monténégro Netherlands 318 315 315 0 0 0 399 435 435 81 120 120 Pays-Bas North Macedonia 12 12 12 0 0 0 12 12 12 0 0 0 Macédoine du Nord Poland 3 209 3 300 3 400 3 178 3 250 3 350 684 700 750 653 650 700 Pologne Portugal 360 362 362 423 425 428 280 282 284 343 345 350 Portugal Serbia 85 89 89 0 0 0 100 105 106 15 16 17 Serbie Slovakia 119 120 120 0 0 0 140 140 140 21 20 20 Slovaquie Slovenia 17 16 16 118 128 128 32 54 43 132 166 155 Slovénie Spain 994 950 1 077 1 448 1 617 1 775 326 379 402 780 1 047 1 100 Espagne Sweden 181 220 211 0 0 0 238 280 270 57 60 59 Suède Switzerland 90 105 110 192 205 210 73 70 65 175 170 165 Suisse Turkey 4 669 4 669 4 669 4 775 4 775 4 775 17 17 17 123 123 123 Turquie United Kingdom 1 315 1 327 1 327 656 656 656 710 720 720 51 49 49 Royaume-Un Total Europe 16 801 17 002 17 485 18 524 19 037 19 430 5 859 6 141 6 251 7 582 8 175 8 197 Total Europe Armenia 57 57 57 0 0 0 57 57 57 0 0 0 Arménie Moldova 21 21 21 0 0 0 21 21 21 0 0 0 Moldova Russia 2 448 2 993 3 292 3 199 3 839 4 223 329 461 507 1 080 1 307 1 437 Russie Total EECCA 2 527 3 071 3 371 3 199 3 839 4 223 408 539 585 1 080 1 307 1 438 Total EOCAC Canada 1 041 1 327 1 343 1 100 1 150 1 150 569 793 797 628 615 604 Canada United States 4 836 4 836 4 836 2 667 2 667 2 667 2 453 2 453 2 453 284 284 284 Etats-Unis Total North America 5 877 6 163 6 179 3 767 3 817 3 817 3 022 3 246 3 251 912 899 889 Total Amérique du Nord

MDF/HDF

Country Production Imports - Importations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

TABLE 6b

Apparent Consumption Consommation Apparente Pays

1000 m3

Exports - Exportations

UNECE COFFI and FAO EFC Foresta2021 page 14

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 146 165 175 0 0 0 151 170 180 5 5 5 Autriche Bosnia-Herzegovina 8 12 13 1 2 2 8 10 12 0 0 1 Bosnie-Herzegovine Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre Czech Republic 86 52 54 0 0 0 185 185 189 99 133 135 République tchèque Estonia 9 9 9 65 65 65 3 4 4 59 60 60 Estonie Finland 20 20 20 0 0 0 20 20 20 0 0 0 Finlande France 53 70 70 74 74 74 72 73 73 93 77 77 France Germany 1 580 1 625 1 650 1 201 1 225 1 250 961 1 000 1 050 581 600 650 Allemagne Hungary 28 28 28 19 19 19 15 15 15 6 6 6 Hongrie Ireland 73 0 0 73 73 73 0 0 0 0 73 73 Irlande Italy 65 65 65 3 3 3 65 65 65 2 2 2 Italie Latvia 1 1 1 0 0 0 19 18 18 18 17 17 Lettonie Luxembourg 5 5 5 0 0 0 5 5 5 0 0 0 Luxembourg Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte Montenegro 6 6 6 0 0 0 6 6 6 0 0 0 Monténégro Netherlands 102 109 109 29 29 29 78 85 85 5 5 5 Pays-Bas North Macedonia 32 32 32 0 0 0 32 32 32 0 0 0 Macédoine du Nord Poland 624 635 665 1 575 1 600 1 650 17 15 15 968 980 1 000 Pologne Portugal 0 1 -1 8 9 9 12 12 12 19 20 22 Portugal Serbia 4 5 5 0 0 0 4 5 5 0 0 0 Serbie Slovakia 60 70 70 0 0 0 60 70 70 0 0 0 Slovaquie Slovenia 5 5 5 0 0 0 8 8 8 3 3 3 Slovénie Spain 48 49 49 55 57 58 11 15 15 18 23 24 Espagne Sweden 16 17 15 0 0 0 28 28 25 12 11 10 Suède Switzerland 169 174 179 0 0 0 169 175 180 1 1 1 Suisse Turkey -53 -53 -53 60 60 60 0 0 0 113 113 113 Turquie United Kingdom 64 64 64 0 0 0 68 68 68 4 4 4 Royaume-Un Total Europe 3 152 3 167 3 236 3 163 3 215 3 291 1 996 2 085 2 153 2 007 2 133 2 208 Total Europe Armenia 2 2 2 0 0 0 2 2 2 0 0 0 Arménie Moldova 1 1 1 0 0 0 1 1 1 0 0 0 Moldova Russia 32 32 32 12 12 12 30 30 30 10 10 10 Russie Total EECCA 35 35 35 12 12 12 32 32 32 10 10 10 Total EOCAC Canada 115 165 166 100 100 100 127 180 184 112 115 118 Canada United States 3 197 3 197 3 197 3 179 3 179 3 179 185 185 185 167 167 167 Etats-Unis Total North America 3 312 3 362 3 363 3 279 3 279 3 279 312 365 369 279 282 285 Total Amérique du Nord

Production Imports - Importations

TABLE 6c

Apparent Consumption Consommation Apparente Pays

OTHER FIBREBOARD AUTRES PANNEAUX DE FIBRES

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 15

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 2 158 2 300 2 330 2 022 2 020 2 100 578 680 680 442 400 450 Autriche Bosnia-Herzegovina 111 118 118 70 75 76 41 43 42 0 0 0 Bosnie-Herzegovine Czech Republic 805 831 772 594 591 611 253 240 250 42 0 89 République tchèque Estonia 81 70 70 231 250 250 47 50 50 198 230 230 Estonie Finland a 6 411 6 802 6 616 10 520 11 318 11 331 224 220 220 4 333 4 736 4 935 Finlande a

France 2 918 2 927 2 800 1 620 1 650 1 600 1 745 1 726 1 700 447 449 500 France Germany 5 015 5 167 5 178 2 255 2 267 2 278 3 952 4 000 4 000 1 192 1 100 1 100 Allemagne Hungary 195 177 177 51 33 33 147 145 145 4 2 2 Hongrie Ireland 41 45 45 0 0 0 41 45 45 0 0 0 Irlande Italy 3 416 3 416 3 416 223 223 223 3 271 3 271 3 271 77 77 77 Italie Latvia 1 1 1 0 0 0 1 1 1 0 0 0 Lettonie Luxembourg 0 0 0 0 0 0 0 0 0 0 0 0 Luxembourg Netherlands 1 137 1 057 737 37 37 37 1 782 1 900 1 500 682 880 800 Pays-Bas Poland 2 709 2 750 2 810 1 717 1 730 1 750 1 152 1 180 1 230 159 160 170 Pologne Portugal 1 506 1 615 1 650 2 683 2 700 2 750 143 145 150 1 320 1 230 1 250 Portugal Serbia 86 88 90 0 0 0 86 88 90 0 0 0 Serbie Slovakia 537 550 550 687 675 675 162 175 175 312 300 300 Slovaquie Slovenia 367 353 347 91 83 85 289 275 270 13 5 8 Slovénie Spain 1 847 1 837 1 933 1 730 1 798 1 923 1 047 1 088 1 209 929 1 049 1 199 Espagne Sweden 8 437 8 460 8 260 12 034 12 100 11 850 653 610 610 4 250 4 250 4 200 Suède Switzerland 171 160 160 72 70 70 99 90 90 0 0 0 Suisse Turkey 1 381 989 1 138 70 70 70 1 442 1 050 1 200 131 131 132 Turquie United Kingdom 971 924 924 220 220 220 768 721 721 17 17 17 Royaume-Uni Total Europe 40 301 40 637 40 122 36 927 37 909 37 932 17 924 17 744 17 650 14 549 15 016 15 459 Total Europe Russia 6 532 6 548 6 677 8 765 8 853 9 030 211 213 215 2 444 2 517 2 568 Russie Total EECCA 6 532 6 548 6 677 8 765 8 853 9 030 211 213 215 2 444 2 517 2 568 Total EOCAC Canada 5 731 6 411 6 547 14 109 14 198 13 702 640 1 109 1 555 9 018 8 896 8 710 Canada United States 48 726 48 750 48 763 50 871 50 895 50 907 5 661 5 664 5 665 7 806 7 809 7 809 Etats-Unis Total North America 54 457 55 161 55 310 64 980 65 093 64 609 6 301 6 773 7 220 16 825 16 705 16 519 Total Amérique du Nord

a imports exclude dissolving pulp a les importations excluent pâte à dissoudre

Exports - ExportationsCountry Production Imports - Importations

TABLE 7

Apparent Consumption Consommation Apparente Pays

WOOD PULP Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

PATE DE BOIS

1000 mt

UNECE COFFI and FAO EFC Foresta2021 page 16

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 2 111 2 170 2 200 4 719 5 050 5 100 1 275 1 300 1 350 3 882 4 180 4 250 Autriche Bosnia-Herzegovina 154 160 166 167 180 182 99 100 106 113 120 122 Bosnie-Herzegovine Cyprus 46 48 48 0 0 0 46 48 48 0 0 0 Chypre Czech Republic 1 451 1 460 1 474 893 904 924 1 436 1 447 1 480 878 891 930 République tchèque Estonia 134 140 140 72 75 75 133 140 140 71 75 75 Estonie Finland 702 740 720 8 210 8 750 8 540 319 320 320 7 827 8 330 8 140 Finlande France 7 904 8 069 8 300 6 873 7 000 7 300 4 487 4 661 4 500 3 456 3 592 3 500 France Germany 18 251 18 660 18 983 21 348 23 060 23 383 9 999 10 000 10 000 13 096 14 400 14 400 Allemagne Hungary 928 944 944 864 861 861 841 852 852 777 769 769 Hongrie Ireland 422 410 415 60 65 70 388 370 375 26 25 30 Irlande Italy 10 204 10 204 10 204 8 514 8 514 8 514 4 773 4 773 4 773 3 083 3 083 3 083 Italie Latvia 163 160 160 25 30 30 170 170 170 32 40 40 Lettonie Luxembourg 25 25 25 0 0 0 31 31 31 6 6 6 Luxembourg Malta 26 23 24 0 0 0 26 23 24 0 0 0 Malte Montenegro 10 10 10 0 0 0 10 10 10 0 0 0 Monténégro Netherlands 2 608 2 670 2 670 2 869 2 870 2 870 2 278 2 300 2 300 2 539 2 500 2 500 Pays-Bas North Macedonia 79 79 79 28 28 28 68 68 68 16 16 16 Macédoine du Nord Poland 7 332 7 400 7 500 5 129 5 250 5 350 4 677 4 700 4 750 2 474 2 550 2 600 Pologne Portugal 1 007 1 050 990 1 900 2 000 2 030 858 850 860 1 751 1 800 1 900 Portugal Serbia 727 733 737 577 580 583 452 456 459 302 303 305 Serbie Slovakia 476 600 600 758 900 950 427 400 400 709 700 750 Slovaquie Slovenia 833 730 680 706 650 600 757 710 710 630 630 630 Slovénie Spain 6 483 6 541 6 390 6 269 6 473 6 477 2 734 2 823 2 917 2 520 2 756 3 004 Espagne Sweden 1 428 1 195 1 090 9 333 9 130 8 800 656 665 650 8 561 8 600 8 360 Suède Switzerland 1 050 1 050 1 055 1 168 1 170 1 175 621 610 600 739 730 720 Suisse Turkey 4 489 4 489 4 489 2 800 2 800 2 800 2 505 2 505 2 505 816 816 816 Turquie United Kingdom 7 321 7 207 7 225 3 631 3 600 3 550 4 439 4 325 4 375 749 718 700 Royaume-Un Total Europe 76 362 76 966 77 318 86 911 89 940 90 192 44 504 44 656 44 772 55 053 57 630 57 646 Total Europe Armenia 61 61 61 21 21 21 41 41 41 0 0 0 Arménie Moldova 44 44 44 8 8 8 39 39 39 2 2 2 Moldova Russia 7 116 7 615 7 952 9 527 10 194 10 704 1 191 1 167 1 143 3 601 3 745 3 895 Russie Total EECCA 7 222 7 721 8 057 9 556 10 223 10 733 1 270 1 246 1 223 3 604 3 748 3 898 Total EOCAC Canada 4 720 4 715 4 572 8 352 8 604 8 379 2 362 2 474 2 406 5 994 6 363 6 213 Canada United States 63 567 66 128 67 399 66 239 68 536 70 152 7 642 7 832 7 870 10 314 10 240 10 623 Etats-Unis Total North America 68 287 70 843 71 971 74 591 77 140 78 532 10 003 10 306 10 276 16 308 16 603 16 836 Total Amérique du Nord

Exports - ExportationsCountry Production Imports - Importations

TABLE 8

Apparent Consumption Consommation Apparente Pays

PAPER AND PAPERBOARD Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

PAPIERS ET CARTONS

1000 mt

UNECE COFFI and FAO EFC Foresta2021 page 17

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 11 462 12 924 13 110 8 504 9 732 9 830 2 958 3 192 3 280 0 0 0 5 327 5 111 5 200 16 790 18 035 18 310 Autriche Bosnia-Herzegovina 2 819 2 806 2 848 2 031 2 016 2 050 614 624 626 174 166 172 1 484 1 502 1 496 4 303 4 308 4 344 Bosnie-Herzegovine Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 6 7 7 9 9 9 Chypre Czech Republic 29 152 21 353 18 590 20 678 13 107 10 325 8 359 8 133 8 150 115 113 115 6 717 7 160 7 210 35 869 28 513 25 800 République tchèque Estonia 6 502 6 100 6 100 4 134 3 900 3 900 2 316 2 150 2 150 52 50 50 4 136 3 830 3 830 10 637 9 930 9 930 Estonie Finland 51 530 56 946 57 515 22 479 25 857 25 679 29 051 31 089 31 836 0 0 0 8 893 8 893 8 893 60 423 65 839 66 407 Finlande France 24 259 25 840 25 080 15 965 17 400 16 700 7 793 7 900 7 800 501 540 580 23 444 24 500 25 700 47 703 50 340 50 780 France Germany 61 790 62 377 61 177 48 213 48 900 47 300 13 503 13 400 13 800 74 77 77 22 261 21 300 21 300 84 051 83 677 82 477 Allemagne Hungary 2 457 2 796 2 796 1 155 1 257 1 257 902 919 919 400 619 619 2 516 2 672 2 672 4 972 5 468 5 468 Hongrie Ireland 3 695 3 542 3 772 2 350 2 485 2 647 1 197 877 934 148 180 192 286 232 247 3 981 3 774 4 019 Irlande Italy 5 002 5 002 5 002 3 352 3 352 3 352 1 018 1 018 1 018 632 632 632 10 839 10 839 10 839 15 841 15 841 15 841 Italie Latvia 12 727 12 350 12 350 7 379 7 400 7 400 4 123 3 850 3 850 1 225 1 100 1 100 2 620 2 580 2 580 15 347 14 930 14 930 Lettonie Luxembourg 291 340 332 81 88 86 104 166 160 106 86 86 59 77 73 350 416 405 Luxembourg Montenegro 299 150 234 249 124 187 43 22 42 7 4 5 49 25 37 348 174 271 Monténégro Netherlands 662 725 725 214 260 260 402 420 420 46 45 45 2 323 2 325 2 325 2 985 3 050 3 050 Pays-Bas North Macedonia 125 125 125 114 114 114 0 0 0 11 11 11 610 610 610 735 735 735 Macédoine du Nord Poland 35 879 37 290 38 050 16 913 17 200 17 400 18 355 19 400 19 900 612 690 750 4 713 4 800 4 900 40 593 42 090 42 950 Pologne Portugal 11 803 12 316 12 190 1 916 2 066 1 980 9 540 9 900 9 850 347 350 360 1 618 1 500 1 560 13 422 13 816 13 750 Portugal Serbia 1 782 1 806 1 830 1 217 1 230 1 238 388 396 408 177 180 184 6 454 6 550 6 705 8 236 8 356 8 535 Serbie Slovakia 6 924 7 185 7 435 3 913 4 100 4 250 2 984 3 050 3 150 26 35 35 524 525 575 7 448 7 710 8 010 Slovaquie Slovenia 2 818 2 383 2 476 1 971 1 600 1 700 797 720 720 50 63 56 1 074 1 070 1 070 3 891 3 453 3 546 Slovénie Spain 13 881 14 462 14 848 4 114 4 241 4 438 9 431 9 740 9 901 336 481 509 1 615 1 648 1 758 15 496 16 110 16 606 Espagne Sweden 69 000 71 000 70 400 37 200 38 400 37 600 31 500 32 300 32 500 300 300 300 5 400 5 600 5 600 74 400 76 600 76 000 Suède Switzerland 2 807 2 933 3 003 2 322 2 440 2 500 482 490 500 3 3 3 1 845 1 890 1 960 4 652 4 823 4 963 Suisse Turkey 24 474 24 790 24 790 10 889 11 000 11 000 12 447 12 650 12 650 1 138 1 140 1 140 5 396 5 856 5 856 29 870 30 646 30 646 Turquie United Kingdom 8 009 8 636 8 636 5 892 6 475 6 475 1 632 1 632 1 632 485 528 528 2 429 2 429 2 429 10 438 11 065 11 065 Royaume-Uni Total Europe 390 151 396 178 393 415 223 248 224 746 219 670 159 938 164 038 166 197 6 965 7 393 7 549 122 638 123 531 125 432 512 789 519 708 518 848 Total Europe Armenia 4 4 4 0 0 0 0 0 0 4 4 4 1 546 1 546 1 546 1 550 1 550 1 550 Arménie Moldova 45 45 45 31 31 31 0 0 0 14 14 14 1 219 1 219 1 219 1 264 1 264 1 264 Moldova Russia 201 891 205 132 198 720 135 325 137 274 132 286 48 954 50 070 49 541 17 612 17 788 16 894 15 109 15 260 14 805 217 000 220 392 213 525 Russie Total EECCA 201 941 205 182 198 769 135 356 137 305 132 317 48 954 50 070 49 541 17 630 17 806 16 912 17 873 18 024 17 569 219 814 223 206 216 338 Total EOCAC Canada 130 430 125 381 125 381 116 298 111 984 111 984 12 278 11 544 11 544 1 853 1 853 1 853 1 750 1 750 1 750 132 180 127 132 127 132 Canada United States 369 175 380 381 383 613 180 237 191 345 194 529 175 722 175 805 175 846 13 215 13 230 13 238 60 525 60 588 60 622 429 700 440 969 444 235 Etats-Unis Total North America 499 604 505 762 508 995 296 536 303 330 306 513 188 000 187 349 187 390 15 069 15 083 15 091 62 276 62 338 62 372 561 880 568 101 571 367 Total Amérique du Nord

a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration

b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc. c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées

used for energy purposes à des fins energétiques

Bois de trituration a

TABLE 9

Autre b Wood fuel c

Bois de chauffage c Total PaysCountry Grumes

LogsTotal Pulpwood a Other b

Industrial wood - Bois industriels

QUANTITES ENLEVEES DE BOIS BRUT TOTAL

REMOVALS OF WOOD IN THE ROUGH TOTAL

1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

UNECE COFFI and FAO EFC Foresta2021 page 18

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 10 587 11 920 12 100 8 229 9 410 9 500 2 358 2 510 2 600 0 0 0 3 359 3 067 3 200 13 946 14 987 15 300 Autriche Bosnia-Herzegovina 2 120 2 097 2 133 1 417 1 390 1 420 559 567 570 144 140 143 5 7 6 2 125 2 104 2 139 Bosnie-Herzegovine Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 5 6 6 7 8 8 Chypre Czech Republic 28 432 20 624 17 850 20 286 12 716 9 942 8 036 7 799 7 798 110 109 110 6 165 6 615 6 675 34 597 27 239 24 525 République tchèque Estonia 4 434 4 200 4 200 3 259 3 100 3 100 1 148 1 075 1 075 27 25 25 1 426 1 330 1 330 5 861 5 530 5 530 Estonie Finland 43 228 48 622 48 806 21 593 24 690 24 512 21 635 23 931 24 294 0 0 0 4 304 4 304 4 304 47 532 52 926 53 110 Finlande France 16 361 17 840 16 860 11 669 13 000 12 000 4 479 4 600 4 600 213 240 260 2 344 2 500 2 700 18 705 20 340 19 560 France Germany 56 362 57 175 56 075 45 700 46 500 45 000 10 590 10 600 11 000 72 75 75 9 005 8 500 8 500 65 366 65 675 64 575 Allemagne Hungary 858 832 832 169 159 159 596 542 542 94 130 130 142 116 116 1 000 948 948 Hongrie Ireland 3 692 3 532 3 762 2 347 2 475 2 636 1 197 877 934 148 180 192 276 120 128 3 968 3 652 3 889 Irlande Italy 4 125 4 125 4 125 2 792 2 792 2 792 853 853 853 480 480 480 1 180 1 180 1 180 5 305 5 305 5 305 Italie Latvia 8 407 8 100 8 100 5 476 5 400 5 400 2 241 2 100 2 100 690 600 600 285 280 280 8 692 8 380 8 380 Lettonie Luxembourg 209 169 169 63 51 51 40 32 32 106 86 86 37 30 30 246 198 199 Luxembourg Montenegro 167 84 136 148 74 111 17 9 23 2 1 2 5 3 4 172 87 139 Monténégro Netherlands 446 475 475 154 180 180 255 260 260 37 35 35 423 425 425 869 900 900 Pays-Bas North Macedonia 51 51 51 41 41 41 0 0 0 10 10 10 26 26 26 77 77 77 Macédoine du Nord Poland 28 625 29 550 29 800 14 167 14 400 14 500 13 886 14 500 14 600 572 650 700 2 297 2 350 2 400 30 922 31 900 32 200 Pologne Portugal 3 974 4 316 4 190 1 696 1 866 1 800 2 130 2 300 2 230 147 150 160 422 400 410 4 396 4 716 4 600 Portugal Serbia 372 381 390 229 235 240 94 96 98 49 50 52 142 150 155 514 531 545 Serbie Slovakia 3 776 3 925 4 025 2 598 2 700 2 750 1 157 1 200 1 250 21 25 25 259 250 300 4 035 4 175 4 325 Slovaquie Slovenia 1 985 1 445 1 595 1 624 1 200 1 300 346 230 280 15 15 15 121 120 120 2 106 1 565 1 715 Slovénie Spain 6 836 7 224 7 522 3 150 3 276 3 473 3 489 3 665 3 751 197 282 298 483 516 626 7 319 7 740 8 148 Espagne Sweden 62 550 64 450 63 750 37 000 38 200 37 400 25 400 26 100 26 200 150 150 150 2 700 2 800 2 800 65 250 67 250 66 550 Suède Switzerland 2 403 2 512 2 567 2 093 2 200 2 250 308 310 315 2 2 2 786 790 810 3 189 3 302 3 377 Suisse Turkey 15 721 15 925 15 925 7 429 7 500 7 500 7 222 7 350 7 350 1 070 1 075 1 075 2 756 2 756 2 756 18 477 18 681 18 681 Turquie United Kingdom 7 896 8 523 8 523 5 829 6 412 6 412 1 630 1 630 1 630 436 480 480 1 817 1 817 1 817 9 713 10 339 10 339 Royaume-Uni Total Europe 313 618 318 097 313 962 199 160 199 969 194 471 109 665 113 137 114 386 4 793 4 990 5 105 40 770 40 456 41 103 354 388 358 553 355 065 Total Europe Armenia 4 4 4 0 0 0 0 0 0 4 4 4 0 0 0 4 4 4 Arménie Moldova 1 1 1 1 1 1 0 0 0 0 0 0 2 2 2 3 3 3 Moldova Russia 161 011 162 621 153 754 120 439 121 644 115 562 33 289 33 622 31 941 7 283 7 356 6 252 10 752 10 859 10 316 171 763 173 480 164 071 Russie Total EECCA 161 016 162 626 153 759 120 440 121 645 115 563 33 289 33 622 31 941 7 287 7 360 6 256 10 754 10 861 10 318 171 770 173 487 164 078 Total EOCAC Canada 107 661 103 728 103 728 103 717 100 117 100 117 3 804 3 470 3 470 140 140 140 805 805 805 108 466 104 533 104 533 Canada United States 293 023 296 554 299 112 147 988 151 442 153 962 133 458 133 521 133 552 11 578 11 591 11 598 26 345 26 374 26 390 319 368 322 928 325 502 Etats-Unis Total North America 400 685 400 282 402 839 251 705 251 559 254 079 137 262 136 992 137 023 11 718 11 731 11 738 27 150 27 179 27 195 427 834 427 461 430 034 Total Amérique du Nord

a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration

b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc. c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées

used for energy purposes à des fins energétiques

Pulpwood a Other b Industrial wood - Bois industriels

QUANTITES ENLEVEES DE BOIS BRUT CONIFERES

REMOVALS OF WOOD IN THE ROUGH SOFTWOOD

1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Bois de trituration a

TABLE 9a

Autre b Wood fuel c

Bois de chauffage c Total PaysCountry Grumes

LogsTotal

UNECE COFFI and FAO EFC Foresta2021 page 19

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 876 1 004 1 010 275 322 330 600 682 680 0 0 0 1 968 2 044 2 000 2 843 3 048 3 010 Autriche Bosnia-Herzegovina 699 709 715 614 626 630 55 57 56 30 26 29 1 479 1 495 1 490 2 178 2 204 2 205 Bosnie-Herzegovine Cyprus 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 Chypre Czech Republic 720 729 740 392 391 383 323 334 352 5 4 5 552 545 535 1 272 1 274 1 275 République tchèque Estonia 2 068 1 900 1 900 875 800 800 1 168 1 075 1 075 25 25 25 2 709 2 500 2 500 4 777 4 400 4 400 Estonie Finland 8 302 8 324 8 708 886 1 167 1 167 7 416 7 158 7 542 0 0 0 4 589 4 589 4 589 12 891 12 913 13 297 Finlande France 7 898 8 000 8 220 4 296 4 400 4 700 3 314 3 300 3 200 288 300 320 21 100 22 000 23 000 28 998 30 000 31 220 France Germany 5 428 5 202 5 102 2 513 2 400 2 300 2 913 2 800 2 800 2 2 2 13 257 12 800 12 800 18 685 18 002 17 902 Allemagne Hungary 1 598 1 964 1 964 986 1 098 1 098 306 377 377 306 489 489 2 374 2 557 2 557 3 972 4 520 4 520 Hongrie Ireland 3 10 11 3 10 11 0 0 0 0 0 0 10 112 119 13 122 130 Irlande Italy 877 877 877 560 560 560 166 166 166 152 152 152 9 659 9 659 9 659 10 536 10 536 10 536 Italie Latvia 4 320 4 250 4 250 1 903 2 000 2 000 1 882 1 750 1 750 535 500 500 2 335 2 300 2 300 6 655 6 550 6 550 Lettonie Luxembourg 82 171 163 18 37 35 64 134 128 0 0 0 22 47 43 104 218 206 Luxembourg Montenegro 132 66 99 101 50 76 26 13 19 5 3 4 44 22 33 176 88 132 Monténégro Netherlands 216 250 250 60 80 80 147 160 160 9 10 10 1 900 1 900 1 900 2 116 2 150 2 150 Pays-Bas North Macedonia 74 74 74 73 73 73 0 0 0 1 1 1 584 584 584 658 658 658 Macédoine du Nord Poland 7 254 7 740 8 250 2 747 2 800 2 900 4 468 4 900 5 300 40 40 50 2 416 2 450 2 500 9 670 10 190 10 750 Pologne Portugal 7 830 8 000 8 000 220 200 180 7 410 7 600 7 620 200 200 200 1 196 1 100 1 150 9 026 9 100 9 150 Portugal Serbia 1 410 1 425 1 440 988 995 998 294 300 310 128 130 132 6 312 6 400 6 550 7 722 7 825 7 990 Serbie Slovakia 3 148 3 260 3 410 1 316 1 400 1 500 1 828 1 850 1 900 5 10 10 265 275 275 3 413 3 535 3 685 Slovaquie Slovenia 833 938 881 348 400 400 450 490 440 35 48 41 952 950 950 1 785 1 888 1 831 Slovénie Spain 7 045 7 239 7 326 964 965 965 5 942 6 074 6 150 139 199 211 1 132 1 132 1 132 8 177 8 371 8 458 Espagne Sweden 6 450 6 550 6 650 200 200 200 6 100 6 200 6 300 150 150 150 2 700 2 800 2 800 9 150 9 350 9 450 Suède Switzerland 404 421 436 229 240 250 174 180 185 1 1 1 1 059 1 100 1 150 1 463 1 521 1 586 Suisse Turkey 8 753 8 865 8 865 3 460 3 500 3 500 5 225 5 300 5 300 68 65 65 2 640 3 100 3 100 11 393 11 965 11 965 Turquie United Kingdom 113 113 113 63 63 63 2 2 2 48 48 48 613 613 613 726 726 726 Royaume-Uni Total Europe 76 532 78 080 79 454 24 088 24 777 25 199 50 273 50 901 51 811 2 171 2 402 2 444 81 868 83 074 84 330 158 401 161 155 163 783 Total Europe Armenia 0 0 0 0 0 0 0 0 0 0 0 0 1 546 1 546 1 546 1 546 1 546 1 546 Arménie Moldova 44 44 44 30 30 30 0 0 0 14 14 14 1 217 1 217 1 217 1 261 1 261 1 261 Moldova Russia 40 880 42 511 44 965 14 886 15 630 16 724 15 665 16 449 17 600 10 329 10 433 10 641 4 357 4 401 4 489 45 237 46 912 49 454 Russie Total EECCA 40 925 42 556 45 010 14 916 15 660 16 754 15 665 16 449 17 600 10 343 10 447 10 655 7 120 7 163 7 251 48 044 49 719 52 261 Total EOCAC Canada 22 768 21 654 21 654 12 581 11 867 11 867 8 474 8 073 8 073 1 713 1 713 1 713 946 946 946 23 714 22 599 22 599 Canada United States 76 151 83 827 84 502 32 250 39 903 40 567 42 264 42 284 42 294 1 638 1 639 1 640 34 180 34 214 34 232 110 332 118 041 118 734 Etats-Unis Total North America 98 920 105 481 106 155 44 831 51 771 52 435 50 738 50 358 50 368 3 351 3 352 3 353 35 126 35 160 35 178 134 046 140 640 141 333 Total Amérique du Nord

a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration

b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc. c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées

used for energy purposes à des fins energétiques

Bois de trituration a

TABLE 9b

Autre b Wood fuel c

Bois de chauffage c Total PaysCountry Grumes

LogsTotal Pulpwood a Other b

Industrial wood - Bois industriels

QUANTITES ENLEVEES DE BOIS BRUT NON-CONIFERES

REMOVALS OF WOOD IN THE ROUGH HARDWOOD

1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

UNECE COFFI and FAO EFC Foresta2021 page 20

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 16 525 17 280 17 550 8 229 9 410 9 500 8 705 8 320 8 500 409 450 450 Autriche Bosnia-Herzegovina 1 459 1 433 1 469 1 417 1 390 1 420 57 60 65 15 17 16 Bosnie-Herzegovine Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre Czech Republic 9 100 8 655 8 790 20 286 12 716 9 942 555 545 560 11 741 4 606 1 712 République tchèque Estonia 3 436 3 470 3 470 3 259 3 100 3 100 259 450 450 82 80 80 Estonie Finland 21 577 24 602 24 339 21 593 24 690 24 512 322 203 118 338 291 291 Finlande France 11 019 12 370 11 400 11 669 13 000 12 000 184 232 300 834 862 900 France Germany 43 600 42 000 43 000 45 700 46 500 45 000 3 900 3 500 4 000 6 000 8 000 6 000 Allemagne Hungary 169 159 159 169 159 159 0 0 0 0 0 0 Hongrie Ireland 2 397 2 525 2 686 2 347 2 475 2 636 300 320 320 250 270 270 Irlande Italy 2 792 2 792 2 792 2 792 2 792 2 792 0 0 0 0 0 0 Italie Latvia 6 183 6 030 6 030 5 476 5 400 5 400 897 850 850 190 220 220 Lettonie Luxembourg 336 324 324 63 51 51 524 524 524 251 251 251 Luxembourg Montenegro 148 74 111 148 74 111 0 0 0 0 0 0 Monténégro Netherlands 134 188 188 154 180 180 65 83 83 85 75 75 Pays-Bas North Macedonia 41 41 41 41 41 41 0 0 0 0 0 0 Macédoine du Nord Poland 13 685 14 000 14 200 14 167 14 400 14 500 1 227 1 250 1 300 1 709 1 650 1 600 Pologne Portugal 2 099 1 986 1 915 1 696 1 866 1 800 428 150 140 25 30 25 Portugal Serbia 246 254 261 229 235 240 20 22 24 3 3 3 Serbie Slovakia 2 727 3 200 3 250 2 598 2 700 2 750 898 900 900 769 400 400 Slovaquie Slovenia 1 467 1 260 1 300 1 624 1 200 1 300 367 350 320 523 290 320 Slovénie Spain 3 245 3 342 3 634 3 150 3 276 3 473 215 226 381 121 160 220 Espagne Sweden 37 054 38 279 37 479 37 000 38 200 37 400 718 743 743 664 664 664 Suède Switzerland 1 808 1 930 1 995 2 093 2 200 2 250 55 50 55 340 320 310 Suisse Turkey 7 424 7 490 7 490 7 429 7 500 7 500 15 10 10 20 20 20 Turquie United Kingdom 6 051 6 634 6 634 5 829 6 412 6 412 330 330 330 108 108 108 Royaume-Un Total Europe 194 723 200 321 200 509 199 160 199 969 194 471 20 042 19 119 19 973 24 478 18 767 13 935 Total Europe Moldova 1 1 1 1 1 1 0 0 0 0 0 0 Moldova Russia 108 143 109 224 108 110 120 439 121 644 115 562 0 0 0 12 297 12 420 7 452 Russie Total EECCA 108 144 109 225 108 111 120 440 121 645 115 563 0 0 0 12 297 12 420 7 452 Total EOCAC Canada 99 569 94 455 93 946 103 717 100 117 100 117 2 682 2 525 2 612 6 830 8 187 8 783 Canada United States 139 741 144 640 143 529 147 988 151 442 153 962 285 302 320 8 531 7 104 10 752 Etats-Unis Total North America 239 311 239 094 237 475 251 705 251 559 254 079 2 967 2 826 2 931 15 361 15 291 19 535 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Production Imports - Importations

TABLE 10

Apparent Consumption a

Consommation Apparente a Pays

SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES

1000 m3 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry

UNECE COFFI and FAO EFC Foresta2021 page 21

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 395 452 460 275 322 330 160 180 180 40 50 50 Autriche Bosnia-Herzegovina 614 630 630 614 626 630 9 12 10 9 8 10 Bosnie-Herzegovine Czech Republic 332 320 323 392 391 383 120 120 122 180 191 182 République tchèque Estonia 893 840 840 875 800 800 42 65 65 25 25 25 Estonie Finland 988 1 306 1 167 886 1 167 1 167 103 139 1 0 0 0 Finlande France 3 384 3 499 3 830 4 296 4 400 4 700 110 119 130 1 022 1 020 1 000 France Germany 1 863 1 850 1 790 2 513 2 400 2 300 150 150 140 800 700 650 Allemagne Hungary 986 1 098 1 098 986 1 098 1 098 0 0 0 0 0 0 Hongrie Ireland 2 8 9 3 10 11 0 0 0 1 2 2 Irlande Italy 560 560 560 560 560 560 0 0 0 0 0 0 Italie Latvia 1 674 1 725 1 725 1 903 2 000 2 000 35 25 25 265 300 300 Lettonie Luxembourg 174 193 191 18 37 35 171 171 171 15 15 15 Luxembourg Montenegro 101 50 76 101 50 76 0 0 0 0 0 0 Monténégro Netherlands 87 115 115 60 80 80 82 90 90 55 55 55 Pays-Bas North Macedonia 73 73 73 73 73 73 0 0 0 0 0 0 Macédoine du Nord Poland 2 677 2 730 2 830 2 747 2 800 2 900 80 80 80 150 150 150 Pologne Portugal 885 320 290 220 200 180 696 150 140 30 30 30 Portugal Serbia 973 977 972 988 995 998 25 27 29 40 45 55 Serbie Slovakia 1 387 1 500 1 600 1 316 1 400 1 500 381 400 400 310 300 300 Slovaquie Slovenia 235 263 243 348 400 400 32 43 43 145 180 200 Slovénie Spain 1 001 1 023 1 303 964 965 965 96 102 382 59 44 44 Espagne Sweden 216 223 223 200 200 200 23 23 23 7 0 0 Suède Switzerland 114 125 135 229 240 250 50 45 40 165 160 155 Suisse Turkey 3 486 3 515 3 515 3 460 3 500 3 500 45 30 30 19 15 15 Turquie United Kingdom 120 120 120 63 63 63 66 66 66 9 9 9 Royaume-Un Total Europe 23 219 23 516 24 118 24 088 24 777 25 199 2 476 2 038 2 167 3 345 3 299 3 247 Total Europe Moldova 30 30 30 30 30 30 0 0 0 0 0 0 Moldova Russia 12 486 13 182 14 227 14 886 15 630 16 724 0 0 0 2 400 2 448 2 497 Russie Total EECCA 12 516 13 212 14 257 14 916 15 660 16 754 0 0 0 2 400 2 448 2 497 Total EOCAC Canada 13 545 12 981 12 948 12 581 11 867 11 867 1 018 1 190 1 154 54 76 73 Canada United States 30 257 37 792 38 330 32 250 39 903 40 567 154 159 165 2 147 2 271 2 402 Etats-Unis Total North America 43 802 50 773 51 278 44 831 51 771 52 435 1 172 1 349 1 318 2 201 2 347 2 475 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Exports - ExportationsCountry Production Imports - Importations

TABLE 11

Apparent Consumption a

Consommation Apparente a Pays

HARDWOOD SAWLOGS (total) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

GRUMES DE SCIAGES DES NON-CONIFERES

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 22

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 395 452 460 275 322 330 160 180 180 40 50 50 Autriche Bosnia-Herzegovina 614 630 630 614 626 630 9 12 10 9 8 10 Bosnie-Herzegovine Czech Republic 332 320 323 392 391 383 120 120 122 180 191 182 République tchèque Estonia 893 840 840 875 800 800 42 65 65 25 25 25 Estonie Finland 988 1 306 1 167 886 1 167 1 167 103 139 1 0 0 0 Finlande France 3 351 3 461 3 793 4 296 4 400 4 700 74 78 90 1 019 1 017 997 France Germany 1 857 1 846 1 784 2 513 2 400 2 300 142 141 130 798 695 646 Allemagne Hungary 986 1 098 1 098 986 1 098 1 098 0 0 0 0 0 0 Hongrie Ireland 2 8 9 3 10 11 0 0 0 1 2 2 Irlande Italy 560 560 560 560 560 560 0 0 0 0 0 0 Italie Latvia 1 674 1 725 1 725 1 903 2 000 2 000 35 25 25 265 300 300 Lettonie Luxembourg 159 178 176 18 37 35 156 156 156 15 15 15 Luxembourg Montenegro 101 50 76 101 50 76 0 0 0 0 0 0 Monténégro Netherlands 83 102 102 60 80 80 68 70 70 45 48 48 Pays-Bas North Macedonia 73 73 73 73 73 73 0 0 0 0 0 0 Macédoine du Nord Poland 2 675 2 728 2 828 2 747 2 800 2 900 78 78 78 150 150 150 Pologne Portugal 698 246 221 220 200 180 504 70 65 25 24 24 Portugal Serbia 972 976 971 988 995 998 24 26 28 40 45 55 Serbie Slovakia 1 387 1 500 1 600 1 316 1 400 1 500 381 400 400 310 300 300 Slovaquie Slovenia 235 262 242 348 400 400 32 42 42 145 180 200 Slovénie Spain 994 1 017 1 296 964 965 965 89 95 374 59 43 43 Espagne Sweden 216 223 223 200 200 200 23 23 23 7 0 0 Suède Switzerland 114 125 135 229 240 250 50 45 40 165 160 155 Suisse Turkey 3 486 3 515 3 515 3 460 3 500 3 500 45 30 30 19 15 15 Turquie United Kingdom 96 96 96 63 63 63 42 42 42 9 9 9 Royaume-Un Total Europe 22 940 23 338 23 943 24 088 24 777 25 199 2 176 1 837 1 971 3 324 3 276 3 226 Total Europe Moldova 30 30 30 30 30 30 0 0 0 0 0 0 Moldova Russia 12 486 13 182 14 227 14 886 15 630 16 724 0 0 0 2 400 2 448 2 497 Russie Total EECCA 12 516 13 212 14 257 14 916 15 660 16 754 0 0 0 2 400 2 448 2 497 Total EOCAC Canada 13 546 12 984 12 948 12 581 11 867 11 867 1 018 1 190 1 154 53 73 73 Canada United States 30 256 37 791 38 329 32 250 39 903 40 567 152 158 163 2 146 2 270 2 401 Etats-Unis Total North America 43 802 50 775 51 277 44 831 51 771 52 435 1 170 1 347 1 317 2 199 2 343 2 474 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Exports - ExportationsCountry Production Imports - Importations

TABLE 11a

Apparent Consumption a

Consommation Apparente a Pays

HARDWOOD LOGS (temperate) Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

GRUMES DE NON-CONIFERES (zone tempérée)

1000 m3

UNECE COFFI and FAO EFC Foresta2021 page 23

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 France -33 -38 -37 36 42 40 3 3 3 France Germany -6 -4 -6 8 9 10 2 5 4 Allemagne Luxembourg -15 -15 -15 15 15 15 0 0 0 Luxembourg Netherlands -4 -13 -13 14 20 20 10 7 7 Pays-Bas Poland -1 -2 -2 2 2 2 0 0 0 Pologne Portugal -187 -74 -69 192 80 75 5 6 6 Portugal Serbia -1 -1 -1 1 1 1 0 0 0 Serbie Slovenia -1 -1 -1 1 1 1 0 0 0 Slovénie Spain -7 -6 -7 7 8 8 0 1 1 Espagne United Kingdom -24 -24 -24 24 24 24 0 0 0 Royaume-Un Total Europe -279 -178 -175 300 201 196 20 23 21 Total Europe Canada 1 3 0 0 0 0 1 3 0 Canada United States -1 -1 -1 2 2 2 1 1 1 Etats-Unis Total North America 0 2 -1 2 2 2 2 4 1 Total Amérique du Nord

TABLE 11b

Net Trade Commerce Net Pays

HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)

1000 m3

Exports - ExportationsCountry

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 24

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 15 114 15 232 15 570 10 110 10 642 10 980 5 798 5 730 5 630 794 1 140 1 040 Autriche Bosnia-Herzegovina 928 911 927 881 874 891 99 87 87 51 50 51 Bosnie-Herzegovine Cyprus 8 9 9 8 8 8 1 1 1 0 0 0 Chypre Czech Republic 6 297 6 778 6 889 10 087 9 823 9 900 482 558 576 4 272 3 603 3 587 République tchèque Estonia 4 050 3 280 3 280 6 316 5 850 5 850 459 270 270 2 724 2 840 2 840 Estonie Finland 53 097 56 668 56 727 43 221 46 410 47 366 11 047 11 200 10 303 1 171 942 942 Finlande France 23 342 23 959 24 580 22 195 22 900 23 300 3 083 3 093 3 280 1 936 2 034 2 000 France Germany 27 601 26 250 27 690 29 618 30 900 31 300 3 352 2 650 3 140 5 368 7 300 6 750 Allemagne Hungary 1 766 1 936 1 936 1 707 1 843 1 843 134 223 223 75 130 130 Hongrie Ireland 1 961 1 869 1 974 2 082 2 044 2 177 129 200 203 249 375 406 Irlande Italy 5 567 5 567 5 567 4 518 4 518 4 518 1 154 1 154 1 154 105 105 105 Italie Latvia 4 140 3 650 3 650 6 387 6 050 6 050 2 019 1 800 1 800 4 266 4 200 4 200 Lettonie Luxembourg 695 757 751 625 687 681 189 189 189 119 119 119 Luxembourg Malta 2 2 2 0 0 0 2 2 2 0 0 0 Malte Montenegro 239 218 238 238 217 237 1 1 1 0 0 0 Monténégro Netherlands 1 145 1 120 1 120 1 355 1 380 1 390 734 730 730 944 990 1 000 Pays-Bas Poland 29 967 30 985 31 835 28 035 29 200 29 800 4 609 4 460 4 410 2 677 2 675 2 375 Pologne Portugal 13 533 13 750 13 782 11 462 11 900 11 870 2 363 2 280 2 382 292 430 470 Portugal Serbia 909 947 976 892 931 958 21 20 22 4 4 4 Serbie Slovakia 3 472 3 800 4 000 4 119 4 200 4 350 1 006 1 000 1 050 1 654 1 400 1 400 Slovaquie Slovenia 834 910 880 1 877 1 870 1 920 494 700 570 1 536 1 660 1 610 Slovénie Spain 11 099 11 684 12 052 12 663 13 217 13 651 557 582 603 2 121 2 116 2 202 Espagne Sweden 59 772 59 734 59 784 52 100 53 300 53 300 8 194 7 127 7 127 522 693 643 Suède Switzerland 1 692 1 713 1 738 1 254 1 280 1 310 631 623 613 193 190 185 Suisse Turkey 13 596 14 027 14 027 13 397 13 600 13 600 202 455 455 3 28 28 Turquie United Kingdom 5 136 5 482 5 482 4 670 4 974 4 974 578 578 578 112 71 71 Royaume-Un Total Europe 285 963 291 237 295 466 269 817 278 619 282 225 47 336 45 712 45 399 31 190 33 094 32 158 Total Europe Moldova 2 2 2 1 1 1 1 1 1 0 0 0 Moldova Russia 58 244 60 273 64 791 73 232 75 562 76 307 104 104 104 15 092 15 393 11 620 Russie Total EECCA 58 246 60 275 64 793 73 233 75 563 76 308 105 105 105 15 092 15 393 11 620 Total EOCAC Canada 34 428 30 819 31 865 31 073 27 434 27 434 4 000 3 969 4 975 645 584 545 Canada United States 228 406 228 659 234 933 233 223 234 181 234 974 190 206 201 5 007 5 728 243 Etats-Unis Total North America 262 835 259 479 266 798 264 296 261 615 262 408 4 191 4 175 5 177 5 652 6 312 788 Total Amérique du Nord

Includes wood residues, chips and particles for all purposes Comprend les dechets de bois, plaquettes et particules pour toute utilisation a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

TABLE 12

Apparent Consumption a

Pays

1000 m3

Exports - Exportations

PULPWOOD (total) BOIS DE TRITURATION (total)

Country

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - ImportationsConsommation Apparente a

UNECE COFFI and FAO EFC Foresta2021 page 25

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 4 999 4 750 4 840 2 358 2 510 2 600 2 749 2 500 2 400 108 260 160 Autriche Bosnia-Herzegovina 622 625 623 559 567 570 77 68 65 14 10 12 Bosnie-Herzegovine Czech Republic 4 527 5 000 5 050 8 036 7 799 7 798 263 255 268 3 772 3 054 3 016 République tchèque Estonia 528 475 475 1 148 1 075 1 075 21 40 40 641 640 640 Estonie Finland 21 957 24 401 24 237 21 635 23 931 24 294 1 205 1 238 711 883 768 768 Finlande France 4 622 4 724 4 700 4 479 4 600 4 600 506 561 600 363 438 500 France Germany 10 290 7 600 9 000 10 590 10 600 11 000 2 200 1 500 2 000 2 500 4 500 4 000 Allemagne Hungary 596 542 542 596 542 542 0 0 0 0 0 0 Hongrie Ireland 1 117 752 801 1 197 877 934 30 50 53 110 175 186 Irlande Italy 853 853 853 853 853 853 0 0 0 0 0 0 Italie Latvia 1 814 1 750 1 750 2 241 2 100 2 100 306 350 350 733 700 700 Lettonie Luxembourg 40 32 32 40 32 32 0 0 0 0 0 0 Luxembourg Montenegro 17 9 23 17 9 23 0 0 0 0 0 0 Monténégro Netherlands 142 140 140 255 260 260 82 80 80 195 200 200 Pays-Bas Poland 13 036 13 600 13 950 13 886 14 500 14 600 1 185 1 200 1 250 2 035 2 100 1 900 Pologne Portugal 2 205 2 350 2 272 2 130 2 300 2 230 81 80 82 6 30 40 Portugal Serbia 94 96 98 94 96 98 0 0 0 0 0 0 Serbie Slovakia 702 900 950 1 157 1 200 1 250 575 500 500 1 030 800 800 Slovaquie Slovenia 278 310 330 346 230 280 230 310 280 298 230 230 Slovénie Spain 2 931 2 905 2 952 3 489 3 665 3 751 95 100 102 653 860 901 Espagne Sweden 29 055 29 293 29 393 25 400 26 100 26 200 3 931 3 469 3 469 276 276 276 Suède Switzerland 238 240 245 308 310 315 20 20 20 90 90 90 Suisse Turkey 7 224 7 352 7 352 7 222 7 350 7 350 3 3 3 1 1 1 Turquie United Kingdom 1 885 1 885 1 885 1 630 1 630 1 630 283 283 283 29 29 29 Royaume-Uni Total Europe 109 772 110 583 112 492 109 665 113 137 114 386 13 842 12 607 12 556 13 736 15 161 14 449 Total Europe Russia 29 389 29 682 32 041 33 289 33 622 31 941 100 100 100 4 000 4 040 0 Russie Total EECCA 29 389 29 682 32 041 33 289 33 622 31 941 100 100 100 4 000 4 040 0 Total EOCAC Canada 4 432 3 984 4 267 3 804 3 470 3 470 645 518 800 17 4 3 Canada United States 133 463 133 526 133 557 133 458 133 521 133 552 5 5 5 0 0 0 Etats-Unis Total North America 137 895 137 511 137 825 137 262 136 992 137 023 650 523 805 17 4 3 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

TABLE 12a

Apparent Consumption a

Consommation Apparente a Pays

PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)

1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Exports - ExportationsCountry Production

Softwood Conifères

Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 26

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 1 210 1 382 1 380 600 682 680 680 780 780 70 80 80 Autriche Bosnia-Herzegovina 61 62 64 55 57 56 13 10 12 7 5 4 Bosnie-Herzegovine Czech Republic 276 293 306 323 334 352 17 18 18 64 59 64 République tchèque Estonia 507 205 205 1 168 1 075 1 075 172 130 130 833 1 000 1 000 Estonie Finland 11 986 11 834 11 801 7 416 7 158 7 542 4 637 4 709 4 292 67 32 32 Finlande France 2 509 2 546 2 480 3 314 3 300 3 200 67 66 80 872 820 800 France Germany 2 663 2 650 2 690 2 913 2 800 2 800 150 150 140 400 300 250 Allemagne Hungary 306 377 377 306 377 377 0 0 0 0 0 0 Hongrie Italy 166 166 166 166 166 166 0 0 0 0 0 0 Italie Latvia 600 400 400 1 882 1 750 1 750 461 350 350 1 743 1 700 1 700 Lettonie Luxembourg 64 134 128 64 134 128 0 0 0 0 0 0 Luxembourg Montenegro 26 13 19 26 13 19 0 0 0 0 0 0 Monténégro Netherlands 65 50 50 147 160 160 21 20 20 103 130 130 Pays-Bas Poland 4 953 5 385 5 785 4 468 4 900 5 300 560 560 560 75 75 75 Pologne Portugal 8 585 8 300 8 350 7 410 7 600 7 620 1 353 1 000 1 050 178 300 320 Portugal Serbia 293 299 309 294 300 310 0 0 0 1 1 1 Serbie Slovakia 1 788 1 900 2 000 1 828 1 850 1 900 70 150 200 110 100 100 Slovaquie Slovenia 146 140 100 450 490 440 88 130 90 392 480 430 Slovénie Spain 5 267 5 658 5 658 5 942 6 074 6 150 285 291 295 960 707 787 Espagne Sweden 8 641 8 441 8 541 6 100 6 200 6 300 2 558 2 258 2 258 17 17 17 Suède Switzerland 137 143 148 174 180 185 3 3 3 40 40 40 Suisse Turkey 5 225 5 300 5 300 5 225 5 300 5 300 2 2 2 2 2 2 Turquie United Kingdom 17 17 17 2 2 2 16 16 16 0 0 0 Royaume-Un Total Europe 55 490 55 695 56 274 50 273 50 901 51 811 11 152 10 643 10 295 5 935 5 849 5 832 Total Europe Russia 8 465 9 105 10 109 15 665 16 449 17 600 0 0 0 7 200 7 344 7 491 Russie Total EECCA 8 465 9 105 10 109 15 665 16 449 17 600 0 0 0 7 200 7 344 7 491 Total EOCAC Canada 8 112 7 871 7 870 8 474 8 073 8 073 31 28 19 393 231 223 Canada United States 42 217 42 237 42 247 42 264 42 284 42 294 42 42 42 89 89 89 Etats-Unis Total North America 50 329 50 108 50 117 50 738 50 358 50 368 73 70 61 482 320 312 Total Amérique du Nord

a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Hardwood Non-conifères 1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

BOIS DE TRITURATION (RONDINS ET QUARTIERS)

Production Imports - Importations

TABLE 12b

Apparent Consumption a

Consommation Apparente a PaysExports - ExportationsCountry

PULPWOOD LOGS (ROUND AND SPLIT)

UNECE COFFI and FAO EFC Foresta2021 page 27

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 8 904 9 100 9 350 7 152 7 450 7 700 2 369 2 450 2 450 616 800 800 Autriche Bosnia-Herzegovina 245 224 240 267 250 265 9 9 10 30 35 35 Bosnie-Herzegovine Cyprus 8 9 9 8 8 8 1 1 1 0 0 0 Chypre Czech Republic 1 494 1 485 1 533 1 728 1 690 1 750 202 285 290 436 490 507 République tchèque Estonia 3 015 2 600 2 600 4 000 3 700 3 700 266 100 100 1 251 1 200 1 200 Estonie Finland 19 154 20 432 20 689 14 170 15 321 15 530 5 205 5 254 5 301 221 142 142 Finlande France 16 211 16 690 17 400 14 402 15 000 15 500 2 510 2 465 2 600 701 776 700 France Germany 14 649 16 000 16 000 16 115 17 500 17 500 1 002 1 000 1 000 2 468 2 500 2 500 Allemagne Hungary 864 1 017 1 017 805 924 924 134 223 223 75 130 130 Hongrie Ireland 844 1 117 1 173 885 1 167 1 243 99 150 150 139 200 220 Irlande Italy 4 549 4 549 4 549 3 500 3 500 3 500 1 154 1 154 1 154 105 105 105 Italie Latvia 1 726 1 500 1 500 2 264 2 200 2 200 1 252 1 100 1 100 1 790 1 800 1 800 Lettonie Luxembourg 591 591 591 521 521 521 189 189 189 119 119 119 Luxembourg Malta 2 2 2 0 0 0 2 2 2 0 0 0 Malte Montenegro 196 196 196 195 195 195 1 1 1 0 0 0 Monténégro Netherlands 938 930 930 953 960 970 631 630 630 646 660 670 Pays-Bas Poland 11 977 12 000 12 100 9 680 9 800 9 900 2 864 2 700 2 600 567 500 400 Pologne Portugal 2 742 3 100 3 160 1 921 2 000 2 020 929 1 200 1 250 108 100 110 Portugal Serbia 522 552 569 504 535 550 21 20 22 3 3 3 Serbie Slovakia 982 1 000 1 050 1 135 1 150 1 200 361 350 350 514 500 500 Slovaquie Slovenia 409 460 450 1 080 1 150 1 200 176 260 200 847 950 950 Slovénie Spain 2 902 3 120 3 442 3 233 3 478 3 750 178 191 206 508 548 514 Espagne Sweden 22 076 22 000 21 850 20 600 21 000 20 800 1 705 1 400 1 400 229 400 350 Suède Switzerland 1 317 1 330 1 345 772 790 810 608 600 590 63 60 55 Suisse Turkey 1 147 1 375 1 375 950 950 950 197 450 450 0 25 25 Turquie United Kingdom 3 234 3 580 3 580 3 038 3 342 3 342 279 279 279 83 41 41 Royaume-Uni Total Europe 120 700 124 959 126 700 109 879 114 581 116 029 22 341 22 462 22 548 11 520 12 084 11 876 Total Europe Moldova 2 2 2 1 1 1 1 1 1 0 0 0 Moldova Russia 20 390 21 487 22 641 24 278 25 492 26 766 4 4 4 3 892 4 009 4 129 Russie Total EECCA 20 392 21 489 22 643 24 279 25 493 26 767 5 5 5 3 892 4 009 4 129 Total EOCAC Canada 21 885 18 964 19 728 18 795 15 890 15 890 3 324 3 423 4 156 235 349 318 Canada United States 52 726 52 896 59 128 57 501 58 376 59 128 143 159 154 4 918 5 639 154 Etats-Unis Total North America 74 611 71 860 78 856 76 296 74 266 75 018 3 467 3 581 4 310 5 153 5 988 472 Total Amérique du Nord

TABLE 12c

Apparent Consumption Consommation Apparente Pays

WOOD RESIDUES, CHIPS AND PARTICLES DECHETS DE BOIS, PLAQUETTES ET PARTICULES

1000 m3

Exports - Exportations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Country Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 28

Imports Exports

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Austria 1 074 1 135 1 250 1 540 1 650 1 800 384 425 390 849 940 940 Autriche Bosnia-Herzegovina 90 94 94 150 162 165 1 2 3 61 70 74 Bosnie-Herzegovine Cyprus 4 4 4 0 0 0 4 4 4 0 0 0 Chypre Czech Republic 180 182 198 477 490 502 32 34 35 329 342 339 République tchèque Estonia 572 115 115 1 630 1 400 1 400 12 15 15 1 070 1 300 1 300 Estonie Finland 427 395 420 322 345 365 112 90 90 7 40 35 Finlande France 2 075 2 101 2 200 1 760 1 800 1 850 412 410 450 97 109 100 France Germany 2 590 2 880 3 225 3 100 3 300 3 600 291 325 350 801 745 725 Allemagne Hungary 77 79 79 16 19 19 84 82 82 23 22 22 Hongrie Ireland 45 65 65 38 55 55 38 45 45 30 35 35 Irlande Italy 2 194 2 194 2 194 400 400 400 1 802 1 802 1 802 7 7 7 Italie Latvia 325 300 300 2 264 2 200 2 200 425 400 400 2 364 2 300 2 300 Lettonie Luxembourg 47 47 47 63 63 63 11 11 11 27 27 27 Luxembourg Malta 1 0 0 0 0 0 1 0 0 0 0 0 Malte Montenegro 53 47 47 89 82 82 1 1 1 37 37 37 Monténégro Netherlands 2 442 2 609 3 180 300 300 300 2 297 2 429 3 000 155 120 120 Pays-Bas North Macedonia 91 91 91 0 0 0 91 91 91 0 0 0 Macédoine du Nord Poland 818 880 900 1 353 1 450 1 500 176 180 200 711 750 800 Pologne Portugal 255 204 245 859 900 950 2 4 5 606 700 710 Portugal Serbia 406 445 450 445 455 460 40 45 50 79 55 60 Serbie Slovakia 20 20 20 206 200 200 43 45 45 229 225 225 Slovaquie Slovenia 206 165 175 148 160 165 257 215 230 198 210 220 Slovénie Spain 507 696 798 531 745 863 65 76 80 89 125 145 Espagne Sweden 1 642 1 940 1 940 1 660 2 000 2 000 119 140 140 138 200 200 Suède Switzerland 347 350 355 270 275 285 78 75 70 0 0 0 Suisse Turkey 6 6 6 20 20 20 0 0 0 14 14 14 Turquie United Kingdom 9 345 9 345 9 345 271 271 271 9 078 9 078 9 078 4 4 4 Royaume-Un Total Europe 25 840 26 388 27 743 17 912 18 743 19 516 15 854 16 023 16 666 7 925 8 378 8 439 Total Europe Moldova 32 32 32 31 31 31 2 2 2 0 0 0 Moldova Russia 509 470 540 2 800 3 220 3 703 2 2 2 2 294 2 752 3 165 Russie Total EECCA 541 502 573 2 831 3 251 3 734 4 4 4 2 294 2 752 3 165 Total EOCAC Canada 960 795 536 3 830 4 131 4 131 31 46 54 2 901 3 381 3 649 Canada United States 1 360 1 503 1 572 8 412 8 855 9 210 205 227 236 7 257 7 578 7 874 Etats-Unis Total North America 2 321 2 299 2 108 12 242 12 985 13 341 236 272 290 10 158 10 958 11 523 Total Amérique du Nord

Exports - Exportations Pays

TABLE 13 WOOD PELLETS GRANULES DE BOIS

1000 mt Apparent Consumption

Country Consommation Apparente

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

Production Imports - Importations

UNECE COFFI and FAO EFC Foresta2021 page 29

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 actual actual actual actual réels réels réels réels

Sawn softwood 82.76 89.42 90.28 102.87 107.84 109.03 32.51 35.40 34.94 52.63 53.82 53.68 Sciages conifères

Softwood logs a 194.72 200.32 200.51 199.16 199.97 194.47 20.04 19.12 19.97 24.48 18.77 13.94 Grumes de conifères a

Sawn hardwood 10.78 11.34 11.61 10.72 11.25 11.40 4.01 4.25 4.34 3.95 4.17 4.12 Sciages non-conifères

– temperate zone b 10.05 10.62 10.88 10.65 11.19 11.34 3.24 3.49 3.56 3.84 4.06 4.01 – zone tempérée b

– tropical zone b 0.72 0.72 0.73 0.07 0.06 0.06 0.77 0.77 0.78 0.11 0.11 0.11 – zone tropicale b

Hardwood logs a 23.22 23.52 24.12 24.09 24.78 25.20 2.48 2.04 2.17 3.34 3.30 3.25 Grumes de non-conifères a

– temperate zone b 22.94 23.34 23.94 24.09 24.78 25.20 2.18 1.84 1.97 3.32 3.28 3.23 – zone tempérée b

– tropical zone b 0.28 0.18 0.17 0.30 0.20 0.20 0.02 0.02 0.02 – zone tropicale b

Veneer sheets 1.44 1.51 1.53 1.03 1.13 1.13 1.18 1.23 1.26 0.77 0.85 0.86 Feuilles de placage

Plywood 7.44 7.27 7.51 4.39 4.61 4.63 6.77 6.68 6.90 3.72 4.02 4.03 Contreplaqués

Particle board (excluding OSB) 28.83 29.99 30.57 30.22 31.31 31.80 9.16 9.50 9.84 10.55 10.83 11.07 Pann. de particules (sauf OSB)

OSB 5.66 5.74 5.81 5.85 5.69 5.80 3.26 3.29 3.34 3.45 3.24 3.33 OSB

Fibreboard 20.47 20.83 21.46 22.07 22.67 23.15 9.24 9.65 9.86 10.84 11.49 11.55 Panneaux de fibres

– Hardboard 0.52 0.66 0.74 0.38 0.42 0.43 1.38 1.42 1.45 1.25 1.19 1.14 – Durs

– MDF 16.80 17.00 17.48 18.52 19.04 19.43 5.86 6.14 6.25 7.58 8.18 8.20 – MDF

– Other board 3.15 3.17 3.24 3.16 3.22 3.29 2.00 2.08 2.15 2.01 2.13 2.21 – Autres panneaux Pulpwood a 285.96 291.24 295.47 269.82 278.62 282.23 47.34 45.71 45.40 31.19 33.09 32.16 Bois de trituration a

– Pulp logs 165.26 166.28 168.77 159.94 164.04 166.20 24.99 23.25 22.85 19.67 21.01 20.28 – Bois ronds de trituration

– softwood 109.77 110.58 112.49 109.67 113.14 114.39 13.84 12.61 12.56 13.74 15.16 14.45 – conifères

– hardwood 55.49 55.69 56.27 50.27 50.90 51.81 11.15 10.64 10.30 5.93 5.85 5.83 – non-conifères

– Residues, chips and particles 120.70 124.96 126.70 109.88 114.58 116.03 22.34 22.46 22.55 11.52 12.08 11.88 – Déchets, plaquettes et part. Wood pulp 40.30 40.64 40.12 36.93 37.91 37.93 17.92 17.74 17.65 14.55 15.02 15.46 Pâte de bois

Paper and paperboard 76.36 76.97 77.32 86.91 89.94 90.19 44.50 44.66 44.77 55.05 57.63 57.65 Papiers et cartons

Wood Pellets 25.84 26.39 27.74 17.91 18.74 19.52 15.85 16.02 16.67 7.93 8.38 8.44 Granulés de bois a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce b Trade figures by zone do not equal the total as some countries cannot provide data for both zones b Les chiffres du commerce par zone ne correspondent pas aux totaux

en raison du fait que certains pays ne peuvent les différencier.

TABLE 14

Apparent Consumption Consommation Apparente Exports - ExportationsProduction

Europe: Summary table of market forecasts for 2021 and 2022

Europe: Tableau récapitulatif des prévisions du marché pour 2021 et 2022

million m 3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)

Imports - Importations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

prévisions forecasts prévisions

forecasts prévisions

forecasts prévisions

forecasts

UNECE COFFI and FAO EFC Foresta2021 page 30

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 actual actual actual actual réels réels réels réels

Sawn softwood 99.90 108.23 111.04 101.84 106.68 109.76 26.26 26.68 26.58 28.20 25.13 25.30 Sciages conifères

Softwood logs 239.31 239.09 237.48 251.70 251.56 254.08 2.97 2.83 2.93 15.36 15.29 19.53 Grumes de conifères

Sawn hardwood 15.07 15.55 15.76 17.68 17.82 17.86 1.38 1.55 1.65 4.00 3.81 3.76 Sciages non-conifères

– temperate zone 14.93 15.43 15.63 17.68 17.82 17.86 1.20 1.37 1.47 3.95 3.76 3.70 – zone tempérée

– tropical zone 0.13 0.13 0.13 0.00 0.00 0.00 0.19 0.18 0.19 0.05 0.05 0.06 – zone tropicale

Hardwood logs 43.80 50.77 51.28 44.83 51.77 52.43 1.17 1.35 1.32 2.20 2.35 2.47 Grumes de non-conifères

– temperate zone 43.80 50.78 51.28 44.83 51.77 52.43 1.17 1.35 1.32 2.20 2.34 2.47 – zone tempérée

– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale Veneer sheets 2.85 2.90 2.96 2.87 2.93 3.01 0.74 0.82 0.84 0.76 0.86 0.88 Feuilles de placage

Plywood 16.41 17.41 17.77 11.17 11.75 12.00 6.31 6.80 6.92 1.07 1.13 1.14 Contreplaqués

Particle board (excluding OSB) 7.25 6.77 6.74 6.41 6.26 6.30 1.95 1.94 1.98 1.12 1.43 1.54 Pann. de particules (sauf OSB)

OSB 20.08 20.76 21.06 20.34 21.24 21.57 5.19 5.58 5.68 5.45 6.07 6.18 OSB

Fibreboard 9.46 9.82 9.83 7.35 7.40 7.40 3.64 3.94 3.95 1.52 1.52 1.52 Panneaux de fibres

– Hardboard 0.27 0.29 0.29 0.30 0.30 0.30 0.30 0.33 0.33 0.33 0.34 0.35 – Durs

– MDF 5.88 6.16 6.18 3.77 3.82 3.82 3.02 3.25 3.25 0.91 0.90 0.89 – MDF

– Other board 3.31 3.36 3.36 3.28 3.28 3.28 0.31 0.36 0.37 0.28 0.28 0.29 – Autres panneaux Pulpwood 262.83 259.48 266.80 264.30 261.62 262.41 4.19 4.17 5.18 5.65 6.31 0.79 Bois de trituration

– Pulp logs 188.22 187.62 187.94 188.00 187.35 187.39 0.72 0.59 0.87 0.50 0.32 0.32 – Bois ronds de trituration

– softwood 137.89 137.51 137.82 137.26 136.99 137.02 0.65 0.52 0.81 0.02 0.00 0.00 – conifères

– hardwood 50.33 50.11 50.12 50.74 50.36 50.37 0.07 0.07 0.06 0.48 0.32 0.31 – non-conifères

– Residues, chips and particles 74.61 71.86 78.86 76.30 74.27 75.02 3.47 3.58 4.31 5.15 5.99 0.47 – Déchets, plaquettes et part. Wood pulp 54.46 55.16 55.31 64.98 65.09 64.61 6.30 6.77 7.22 16.82 16.71 16.52 Pâte de bois

Paper and paperboard 68.29 70.84 71.97 74.59 77.14 78.53 10.00 10.31 10.28 16.31 16.60 16.84 Papiers et cartons

Wood pellets 2.32 2.30 2.11 12.24 12.99 13.34 0.24 0.27 0.29 10.16 10.96 11.52 Granulés de bois

TABLE 15

Apparent Consumption Consommation Apparente Exports - ExportationsProduction

North America: Summary table of market forecasts for 2021 and 2022

Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2021 et 2022

million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)

Imports - Importations

Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

forecasts prévisions

forecasts prévisions

forecasts prévisions

forecasts prévisions

UNECE COFFI and FAO EFC Foresta2021 page 31

2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 actual actual actual actual réels réels réels réels

Sawn softwood 9.13 10.15 11.25 38.92 40.09 42.09 0.04 0.04 0.04 29.83 29.98 30.88 Sciages conifères

Softwood logs 108.14 109.22 108.11 120.44 121.64 115.56 0.00 0.00 0.00 12.30 12.42 7.45 Grumes de conifères

Sawn hardwood 1.34 1.38 1.48 2.88 2.97 3.14 0.01 0.01 0.01 1.54 1.59 1.67 Sciages non-conifères

– temperate zone 1.34 1.38 1.47 2.88 2.97 3.14 0.00 0.00 0.00 1.54 1.59 1.67 – zone tempérée

– tropical zone 0.01 0.01 0.01 0.00 0.00 0.00 0.01 0.01 0.01 0.00 0.00 0.00 – zone tropicale

Hardwood logs 12.49 13.18 14.23 14.89 15.63 16.72 0.00 0.00 0.00 2.40 2.45 2.50 Grumes de non-conifères

– temperate zone 12.49 13.18 14.23 14.89 15.63 16.72 0.00 0.00 0.00 2.40 2.45 2.50 – zone tempérée

– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale Veneer sheets 1.10 1.44 1.69 1.57 1.96 2.26 0.01 0.01 0.01 0.49 0.54 0.58 Feuilles de placage

Plywood 1.22 1.44 1.51 4.00 4.60 4.83 0.12 0.13 0.13 2.90 3.28 3.45 Contreplaqués

Particle board (excluding OSB) 5.29 6.12 6.50 6.73 7.15 7.53 0.30 0.67 0.79 1.74 1.69 1.83 Pann. de particules (sauf OSB)

OSB 1.61 1.08 1.26 1.63 1.63 1.95 0.35 0.18 0.14 0.36 0.72 0.83 OSB

Fibreboard 2.80 3.42 3.67 3.58 4.30 4.63 0.46 0.59 0.64 1.24 1.48 1.60 Panneaux de fibres

– Hardboard 0.32 0.39 0.35 0.37 0.45 0.40 0.10 0.10 0.10 0.15 0.16 0.15 – Durs

– MDF 2.45 2.99 3.29 3.20 3.84 4.22 0.33 0.46 0.51 1.08 1.31 1.44 – MDF

– Other board 0.03 0.03 0.03 0.01 0.01 0.01 0.03 0.03 0.03 0.01 0.01 0.01 – Autres panneaux Pulpwood 58.24 60.27 64.79 73.23 75.56 76.31 0.10 0.10 0.10 15.09 15.39 11.62 Bois de trituration

– Pulp logs 37.85 38.79 42.15 48.95 50.07 49.54 0.10 0.10 0.10 11.20 11.38 7.49 – Bois ronds de trituration

– softwood 29.39 29.68 32.04 33.29 33.62 31.94 0.10 0.10 0.10 4.00 4.04 0.00 – conifères

– hardwood 8.47 9.10 10.11 15.67 16.45 17.60 0.00 0.00 0.00 7.20 7.34 7.49 – non-conifères

– Residues, chips and particles 20.39 21.49 22.64 24.28 25.49 26.77 0.00 0.00 0.00 3.89 4.01 4.13 – Déchets, plaquettes et part. Wood pulp 6.53 6.55 6.68 8.77 8.85 9.03 0.21 0.21 0.22 2.44 2.52 2.57 Pâte de bois

Paper and paperboard 7.12 7.62 7.95 9.53 10.19 10.70 1.19 1.17 1.14 3.60 3.75 3.90 Papiers et cartons

Wood pellets 0.51 0.47 0.54 2.80 3.22 3.70 0.00 0.00 0.00 2.29 2.75 3.17 Granulés de bois

TABLE 16

Apparent Consumption Consommation Apparente Exports - ExportationsProduction

Russian Federation: Summary table of market forecasts for 2021 and 2022

Fédération de Russie: Tableau récapitulatif des prévisions du marché pour 2021 et 2022

million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)

Imports - Importations

prévisions forecasts prévisions

forecasts prévisions

forecasts prévisions

forecasts

UNECE COFFI and FAO EFC Foresta2021 page 32

Unit Unité 2016 2017 2018 2019 2020

1979-81 1999-2001 Volume Percent

EXPORTS EXPORTATIONS

Roundwood a million m3 22.22 48.68 61.29 63.02 70.01 78.70 82.01 3.31 4.2% Bois ronds a

Sawnwood " 24.77 45.99 55.71 58.51 59.86 62.83 56.58 -6.25 -9.9% Sciages Wood-based panels b " 8.07 21.42 33.67 35.66 35.43 35.67 28.55 -7.12 -20.0% Panneaux à base de bois b

Wood pulp million m.t. 7.31 10.08 14.31 14.81 15.19 16.26 14.55 -1.71 -10.5% Pâte de bois Paper and paperboard " 18.39 54.06 65.56 66.20 66.45 65.12 55.05 -10.07 -15.5% Papiers et cartons

IMPORTS IMPORTATIONS

Roundwood a million m3 38.83 74.99 85.69 79.61 90.25 89.33 86.83 -2.50 -2.8% Bois ronds a

Sawnwood " 34.26 46.39 40.93 43.88 46.19 47.38 36.52 -10.86 -22.9% Sciages Wood-based panels b " 10.30 21.38 33.04 35.75 37.21 36.72 28.43 -8.29 -22.6% Panneaux à base de bois b

Wood pulp million m.t. 11.36 17.26 20.73 20.86 21.51 20.02 17.92 -2.10 -10.5% Pâte de bois Paper and paperboard " 16.78 48.69 56.27 57.08 57.24 55.14 44.50 -10.64 -19.3% Papiers et cartons

NET TRADE c COMMERCE NET c

Roundwood a million m3 -16.61 -26.31 -24.40 -16.59 -20.24 -10.63 -4.82 5.81 54.6% Bois ronds a

Sawnwood " -9.49 -0.40 14.78 14.62 13.68 15.45 20.06 4.61 29.8% Sciages Wood-based panels b " -2.23 0.04 0.63 -0.10 -1.79 -1.05 0.12 1.17 NA Panneaux à base de bois b

Wood pulp million m.t. -4.05 -7.18 -6.42 -6.05 -6.31 -3.76 -3.37 0.39 10.3% Pâte de bois Paper and paperboard " 1.61 5.37 9.29 9.12 9.21 9.98 10.55 0.57 5.7% Papiers et cartons

a Including available data on wood residues, chips and particles a Y compris les données disponibles pour les déchets, les plaquettes et les particules b Not including veneer sheets b Ne sot pas compris les feuilles de placage c Exports minus imports c Exportations moins importations

2019/2020

Quantity - Volume

TABLE 17 Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (averages) and 2016 to 2020

Europe: Commerce des produits forestiers, par principaux groupes d'assortiments, en 1979-81 et 1999-2001 (moyennes) et de 2016 à 2020

Change - Changementaverage moyenne

UNECE COFFI and FAO EFC Foresta2021 page 33

2016 2017 2018 2019 2020 2021 2022 1979-81 1999-2001

Sawnwood b million m3 100.66 108.12 107.55 110.81 113.12 110.61 93.53 100.75 101.89 Sciages b

– Softwood " 78.36 89.22 94.52 97.49 99.05 96.33 82.76 89.42 90.28 – Conifères – Hardwood " 22.30 18.90 13.03 13.32 14.07 14.27 10.78 11.34 11.61 – Non-conifères

Wood-based panels c " 33.70 54.21 71.70 74.21 75.86 74.96 62.39 63.82 65.34 Panneaux à base de bois c

– Plywood " 5.44 6.66 8.43 8.89 9.48 8.91 7.44 7.27 7.51 – Contreplaqués – Particle board d " 23.82 34.50 36.11 36.97 36.61 36.39 28.83 29.99 30.57 – Panneaux de particules d

– OSB 1.72 6.18 6.63 6.89 6.74 5.66 5.74 5.81 – OSB – Fibreboard " 4.44 11.00 20.99 21.72 22.88 22.92 20.47 20.83 21.46 – Panneaux de fibres

Paper and paperboard million m.t. 49.17 88.67 88.40 89.94 89.53 86.18 76.36 76.97 77.32 Papiers et cartons – Newsprint " 6.45 12.04 6.61 6.03 5.76 5.26 4.10 – Papiers journal – Other paper & paperbrd. " 42.71 76.63 81.79 83.91 83.77 80.92 72.26 – Autres papiers/cartons

Sawnwood b 100.0 107.4 106.8 110.1 112.4 109.9 92.9 100.1 101.2 Sciages b

– Softwood 100.0 113.9 120.6 124.4 126.4 122.9 105.6 114.1 115.2 – Conifères – Hardwood 100.0 84.7 58.4 59.7 63.1 64.0 48.3 50.8 52.1 – Non-conifères

Wood-based panels c 100.0 160.9 212.8 220.2 225.1 222.4 185.1 189.4 193.9 Panneaux à base de bois c

– Plywood 100.0 122.5 154.9 163.4 174.2 163.8 136.7 133.6 138.0 – Contreplaqués – Particle board 100.0 144.8 151.6 155.2 153.7 152.8 121.0 125.9 128.3 – Panneaux de particules – OSB 100.0 359.2 385.7 400.4 391.9 329.0 333.6 337.7 – OSB – Fibreboard 100.0 247.9 472.8 489.2 515.3 516.1 461.0 469.1 483.3 – Panneaux de fibres

Paper and paperboard 100.0 180.3 179.8 182.9 182.1 175.3 155.3 156.5 157.2 Papiers et cartons – Newsprint 100.0 186.6 102.5 93.4 89.2 81.6 63.5 – Papiers journal – Other paper & paperbrd. 100.0 179.4 191.5 196.5 196.1 189.5 169.2 – Autres papiers/cartons

a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020) comparable with earlier data as the methodology is different. et les donnes anterieures n'est pas possible à cause de différences des méthodes de calcul. b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016 c Not including veneer sheets c Ne sont pas compris les feuilles de placage d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB

TABLE 18 Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022

Europe: Consommation apparente de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022

Forecasts a

Index - Indice 1979-81 = 100

Prévisions aActual - RéelleUnit Unité average

moyenne

UNECE COFFI and FAO EFC Foresta2021 page 34

2016 2017 2018 2019 2020 2021 2022 1979-81 1999-2001

Sawnwood b million m3 95.82 119.44 99.75 100.40 101.08 101.75 99.92 102.05 103.10 Sciages b

– Softwood " 79.14 91.63 80.22 81.41 81.94 82.26 86.12 87.85 88.69 – Conifères – Hardwood " 16.67 27.81 19.53 18.99 19.14 19.49 13.81 14.20 14.41 – Non-conifères

Wood-based panels c " 29.25 54.68 47.17 48.78 47.93 46.78 46.09 47.63 48.43 Panneaux à base de boisc

– Plywood " 6.09 18.74 15.42 15.60 14.87 14.03 14.03 14.64 14.94 – Contreplaqués – Particle board d " 17.11 10.15 5.04 5.09 5.18 5.40 5.24 5.41 5.52 – Panneaux de particulesd

– OSB 17.75 17.08 18.33 18.86 18.67 18.58 19.35 19.72 – OSB – Fibreboard " 6.05 8.05 9.63 9.75 9.01 8.69 8.24 8.24 8.24 – Panneaux de fibres

Paper and paperboard million m.t. 61.86 92.52 70.10 69.61 68.82 66.31 63.57 66.13 67.40 Papiers et cartons – Newsprint " 10.56 12.20 3.03 2.62 2.29 1.91 1.42 – Papiers journal – Other paper & paperbrd. " 51.30 80.33 67.07 66.99 66.53 64.41 62.15 – Autres papiers/cartons

Sawnwood b million m3 23.87 34.46 28.33 27.42 26.44 25.30 26.26 26.70 26.57 Sciages b

– Softwood " 23.10 32.93 27.37 26.70 25.49 24.53 25.63 26.03 25.88 – Conifères – Hardwood " 0.77 1.53 0.96 0.72 0.95 0.77 0.63 0.67 0.69 – Non-conifères

Wood-based panels c " 2.11 12.82 13.23 14.50 15.67 14.34 14.46 14.97 15.13 Panneaux à base de boisc

– Plywood " 0.50 2.63 4.88 4.93 5.47 4.66 5.06 5.30 5.33 – Contreplaqués – Particle board " 1.33 1.44 1.25 1.24 1.33 1.43 1.46 1.33 1.36 – Panneaux de particules – OSB 6.81 5.07 5.57 5.67 5.42 5.07 5.46 5.56 – OSB – Fibreboard " 0.28 1.94 2.03 2.76 3.21 2.83 2.88 2.88 2.88 – Panneaux de fibres

Paper and paperboard million m.t. 7.78 15.84 9.26 9.17 9.46 8.72 7.64 7.83 7.87 Papiers et cartons – Newsprint " 6.49 6.61 1.84 1.72 1.53 1.28 1.05 – Papiers journal – Other paper & paperbrd. " 1.29 9.24 7.42 7.45 7.94 7.45 6.60 – Autres papiers/cartons

a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020) comparable with earlier data as the methodology is different. et les donnes anterieures s n'est pas possible à cause de différences des méthodes de calcul. b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016 c Not including veneer sheets c Ne sont pas compris les feuilles de placage d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB

Actual - Réelle Unit Unité

Imports – Importations

Apparent Consumption – Consommation apparente

average moyenne

TABLE 19 United States: Apparent consumption and imports of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022

Etats-Unis: Consommation apparente et importations de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022

Forecasts a Prévisions a

UNECE COFFI and FAO EFC Foresta2021 page 35

List of tables

List of Tables and Notes
Table 1 - Sawn Softwood
Table 2 - Sawn Hardwood (total)
Table 2a - Sawn Hardwood (temperate)
Table 2b - Sawn Hardwood (tropical)
Table 3 - Veneer Sheets
Table 4 - Plywood
Table 5 - Particle Board (excluding OSB)
Table 5a - Oriented Strand Board
Table 6 - Fibreboard
Table 6a - Hardboard
Table 6b - MDF/HDF
Table 6c - Other Fibreboard
Table 7 - Wood Pulp
Table 8 - Paper and Paperboard
Table 9 - Removals of wood in the rough
Table 9a - Removals of wood in the rough (softwood)
Table 9b - Removals of wood in the rough (hardwood)
Table 10 - Softwood sawlogs
Table 11 - Hardwood sawlogs
Table 11a - Hardwood logs (temperate)
Table 11b - Hardwood logs (tropical)
Table 12 - Pulpwood
Table 12a - Pulpwood (softwood)
Table 12b - Pulpwood (hardwood)
Table 12c - Wood Residues, Chips and Particles
Table 13 - Wood Pellets
Table 14 - Europe: Summary table of market forecasts for 2021 and 2022
Table 15 - North America: Summary table of market forecasts for 2021 and 2022
Table 16 - Russian Federation: Summary table of market forecasts for 2021 and 2022
Table 17 - Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (average) and 2016 to 2020
Table 18 - Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022
Table 19 - United States: Apparent consumption and imports of selected forest products 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022
Source: UNECE Committee on Forests and the Forest Industry , November 2021, http://www.unece.org/forests/fpm/timbercommittee.html
Notes: Data in italics are estimated by the secretariat. EECCA is Eastern Europe, Caucasus and Central Asia.
Data for the two latest years are forecasts.
In contrast to previous years, data are shown only for countries providing forecasts. Sub-regional totals are only for reporting countries.
Austrian removals data do not include trees outside the forest. Wood chip trade includes recovered post-consumer wood.
German estimates for removals for 2021 and 2022 are highly sensitive to assumptions of beetle and storm damage
Italy MDF/HDF production data include only MDF
Montenegro removal figures are from Directorate of Forests, other figures are based on Statistical Office information.
Polish trade data exclude non-reporters (estimated at 1-3% of total). Polish sawnwood data include shop lumber. Wood pulp production is in metric tonnes not air-dried and excludes recovered fibre pulp.
Polish wood pellets production data includes briquettes and non-wood based material.
Slovenian trade figures are lower than actual as they do not include estimates for non-recorded trade with other EU countries.
United Kingdom production figures for OSB and wood pulp are secretariat estimates.
Data on wood chips and residues for Turkey include those from secondary processing.
Softwood = coniferous, hardwood = non-coniferous
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.
Countries with nil, missing or confidential data for all years on a table are not shown.

Table 1

TABLE 1
SAWN SOFTWOOD SCIAGES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 6,165 6,650 6,700 10,339 10,800 11,300 1,777 1,950 1,600 5,951 6,100 6,200 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 226 189 204 810 779 812 7 10 12 590 600 620 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 29 31 31 1 1 1 28 30 30 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 2,343 1,875 1,924 5,213 5,015 5,144 483 460 480 3,352 3,600 3,700 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 2,073 2,420 2,420 1,700 1,700 1,700 1,364 1,720 1,720 991 1,000 1,000 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 3,252 3,280 3,280 10,880 12,000 12,200 569 480 480 8,198 9,200 9,400 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 8,187 8,492 8,400 6,798 7,000 7,000 2,437 2,484 2,400 1,048 992 1,000 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 20,630 22,300 22,500 25,216 27,000 27,000 5,519 6,300 6,000 10,105 11,000 10,500 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 910 858 858 120 134 134 796 768 768 7 44 44 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 492 937 997 1,012 1,312 1,397 310 375 400 830 750 800 Irlande 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Italy 3,714 4,412 4,412 274 342 342 3,740 4,282 4,282 300 213 213 Italie 3 2 2 3 2 2 5 2 2 5 2 2 5 3
Latvia 1,383 1,600 1,300 3,311 3,000 3,000 1,106 1,600 1,300 3,034 3,000 3,000 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 54 54 54 39 39 39 27 27 27 12 12 12 Luxembourg 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Malta 7 6 7 0 0 0 7 6 7 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 32 32 32 129 129 129 9 9 9 106 106 106 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 2,631 2,520 2,600 95 100 100 3,132 2,900 3,000 596 480 500 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 24 24 24 2 2 2 23 23 23 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 3 5 5 3 5 5 3
Poland 4,460 4,550 4,600 4,181 4,300 4,400 1,237 1,250 1,300 958 1,000 1,100 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 770 770 780 874 880 890 133 120 130 237 230 240 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 401 438 453 112 130 135 291 310 320 2 2 2 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 576 650 700 1,182 1,000 1,050 352 400 400 959 750 750 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 704 392 439 877 717 729 657 670 690 830 995 980 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 2,436 3,446 3,712 1,813 2,773 2,940 829 977 1,044 206 304 272 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 5,123 6,300 6,300 18,500 18,900 18,800 599 500 400 13,976 13,100 12,900 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,216 1,245 1,275 1,120 1,150 1,180 293 280 275 197 185 180 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 6,337 6,396 6,396 6,091 6,150 6,150 380 380 380 134 134 134 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 9,772 10,769 11,137 3,302 3,633 3,633 6,677 7,345 7,712 208 208 208 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 83,947 90,637 91,535 103,993 108,986 110,207 32,780 35,655 35,188 52,826 54,004 53,861 Total Europe
Armenia 182 182 182 0 0 0 182 182 182 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 5 5 5 3
Moldova 221 221 221 2 2 2 219 219 219 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 9,127 10,145 11,250 38,918 40,086 42,090 42 42 42 29,833 29,982 30,882 Russie 3 3 2 2 3 2 2 5 2 2 2 2 2 3
Total EECCA 9,530 10,549 11,653 38,920 40,088 42,092 444 444 444 29,833 29,983 30,882 Total EOCAC
Canada a 13,784 20,386 22,353 39,397 42,849 44,890 631 645 704 26,243 23,108 23,241 Canada a 3 3 2 2 3 2 2 3 2 2 3 2 2 3
United States a 86,118 87,846 88,690 62,446 63,831 64,874 25,631 26,033 25,875 1,959 2,019 2,059 Etats-Unis a 3 3 2 2 2 2 2 3 2 2 3 2 2 3
Total North America 99,902 108,231 111,043 101,843 106,680 109,764 26,261 26,678 26,579 28,202 25,127 25,300 Total Amérique du Nord
a converted from nominal to actual size using factor of 0.72 a convertis du dimension nominale au véritable avec une facteur du 0.72
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 2

TABLE 2
SAWN HARDWOOD (total) SCIAGES NON-CONIFERES (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 273 285 295 237 265 275 165 170 180 129 150 160 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 1,224 1,190 1,230 1,350 1,320 1,360 129 120 130 256 250 260 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 7 9 9 0 0 0 7 9 9 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 388 385 387 145 145 146 288 290 292 45 50 51 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 131 180 180 100 100 100 146 180 180 115 100 100 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 47 42 42 36 36 36 31 31 31 20 25 25 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 1,143 1,183 1,240 1,336 1,400 1,450 276 281 290 469 499 500 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 660 642 640 962 1,010 1,000 379 416 400 681 784 760 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 53 215 215 280 334 334 49 81 81 276 201 201 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 29 41 42 2 8 9 29 35 35 3 2 2 Irlande 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Italy 986 1,259 1,259 612 826 826 521 631 631 147 197 197 Italie 3 2 2 3 2 2 5 2 2 5 2 2 5 3
Latvia 174 160 200 588 650 600 45 70 50 459 560 450 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 57 57 57 39 39 39 40 40 40 22 22 22 Luxembourg 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Malta 7 6 7 0 0 0 7 6 7 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro -23 -23 -23 2 2 2 3 3 3 29 29 29 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 347 328 333 54 51 51 380 357 362 87 80 80 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 5 5 5 5 5 5 5 5 5 5 5 5 Macédoine du Nord 3 3 3 3 2 5 5 3 5 5 3 5 5 3
Poland 515 540 550 486 510 530 250 280 300 221 250 280 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 223 219 210 148 149 150 96 100 100 22 30 40 Portugal 3 3 2 2 2 2 2 3 2 2 2 2 2 3
Serbia 141 155 170 358 375 390 91 95 100 308 315 320 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 389 400 425 340 350 400 165 150 150 116 100 125 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 121 136 136 125 141 141 98 100 100 102 105 105 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 545 609 693 487 523 544 109 113 178 51 27 29 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 106 118 103 100 120 110 44 38 30 37 40 37 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 74 80 85 50 55 60 44 40 40 20 15 15 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 2,599 2,562 2,562 2,837 2,800 2,800 71 71 71 309 309 309 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 555 555 555 37 37 37 541 541 541 23 23 23 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 10,775 11,339 11,607 10,717 11,252 11,395 4,008 4,254 4,336 3,950 4,167 4,124 Total Europe
Armenia 2 2 2 0 0 0 2 2 2 1 1 1 Arménie 3 3 3 3 2 5 5 3 5 5 3 5 5 3
Moldova 12 12 12 9 9 9 4 4 4 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 1,341 1,381 1,479 2,879 2,965 3,143 6 6 6 1,544 1,590 1,670 Russie 3 3 2 2 3 2 2 5 2 2 2 2 2 3
Total EECCA 1,355 1,395 1,493 2,888 2,974 3,152 12 12 12 1,545 1,591 1,670 Total EOCAC
Canada 1,261 1,350 1,350 997 942 855 753 880 959 489 472 464 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 13,806 14,204 14,409 16,688 16,874 17,009 630 672 692 3,511 3,342 3,293 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 15,067 15,554 15,759 17,685 17,816 17,864 1,383 1,552 1,651 4,000 3,814 3,757 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 2a

TABLE 2a
SAWN HARDWOOD (temperate) SCIAGES NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 269 281 291 237 265 275 161 165 175 129 149 159 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 1,219 1,186 1,226 1,347 1,318 1,358 128 118 128 256 250 260 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 5 6 6 0 0 0 5 6 6 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 381 379 381 145 145 146 279 281 283 43 48 48 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 129 177 177 100 100 100 141 175 175 112 98 98 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 45 41 41 36 36 36 26 27 27 17 22 22 Finlande 3 2 3 3 2 3 3 2 3 3 2 3 3 3
France 1,007 1,042 1,101 1,325 1,387 1,437 148 150 160 466 495 496 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 624 602 602 961 1,009 999 313 350 338 650 757 735 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 53 215 215 280 334 334 49 81 81 276 201 201 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 16 27 28 2 8 9 16 21 21 3 2 2 Irlande 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Italy 869 1,157 1,157 595 821 821 412 525 525 138 188 188 Italie 3 2 2 3 2 2 3 2 2 3 2 2 3 3
Latvia 174 160 200 588 650 600 45 70 50 459 560 450 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 52 52 52 39 39 39 34 34 34 22 22 22 Luxembourg 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Malta 6 6 7 0 0 0 6 6 7 0 0 0 Malte 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Montenegro -23 -23 -23 2 2 2 3 3 3 29 29 29 Monténégro 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Netherlands 179 169 174 48 45 45 183 174 179 52 50 50 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 5 5 5 5 5 5 4 4 4 5 5 5 Macédoine du Nord 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Poland 500 524 534 483 507 527 233 262 282 216 245 275 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 176 174 163 133 134 135 53 55 50 11 15 22 Portugal 3 3 2 2 2 2 2 3 2 2 2 2 2 3
Serbia 138 152 167 357 374 389 89 93 98 308 315 320 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 389 397 422 340 350 400 165 147 147 116 100 125 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 119 135 135 125 141 141 95 98 98 102 105 105 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 501 558 631 486 520 541 63 60 114 47 22 24 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 105 117 102 100 120 110 42 37 29 37 40 37 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 65 71 76 47 52 57 38 34 34 20 15 15 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 2,563 2,526 2,526 2,832 2,795 2,795 39 39 39 308 308 308 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 489 489 489 37 37 37 470 470 470 18 18 18 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 10,051 10,623 10,882 10,650 11,195 11,338 3,239 3,486 3,557 3,838 4,057 4,013 Total Europe
Armenia 2 2 2 0 0 0 2 2 2 1 1 1 Arménie 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Moldova 12 12 12 9 9 9 3 3 3 0 0 0 Moldova 3 3 3 3 2 3 3 3 3 3 3 3 3 3
Russia 1,336 1,376 1,474 2,879 2,965 3,143 1 1 1 1,544 1,590 1,670 Russie 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 1,350 1,390 1,488 2,888 2,974 3,152 7 7 7 1,545 1,591 1,670 Total EOCAC
Canada 1,242 1,350 1,354 997 942 855 728 870 950 482 462 451 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 13,691 14,076 14,275 16,688 16,874 17,009 469 500 516 3,465 3,298 3,250 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 14,933 15,427 15,629 17,685 17,816 17,864 1,196 1,370 1,466 3,948 3,760 3,701 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 2b

TABLE 2b
SAWN HARDWOOD (tropical) SCIAGES NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 4 4 4 0 0 0 5 5 5 1 1 1 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 4 4 4 3 2 2 1 2 2 0 0 0 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bulgaria 0 0 0 0 0 0 0 0 0 0 0 0 Bulgarie 2 2 2 2 2 ... ... 2 ... ... 2 ... ... 2
Cyprus 2 3 3 0 0 0 2 3 3 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 7 6 6 0 0 0 10 9 9 2 2 3 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 2 3 3 0 0 0 5 5 5 2 2 2 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 1 1 1 0 0 0 4 4 4 3 3 3 Finlande 3 2 3 3 2 5 5 2 5 5 2 5 5 3
France 136 141 139 11 13 13 128 131 130 3 4 4 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 36 40 38 1 1 1 66 66 62 31 27 25 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 13 14 14 0 0 0 13 14 14 0 0 0 Irlande 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Italy 118 102 102 17 5 5 109 106 106 9 9 9 Italie 3 2 2 3 2 2 5 2 2 5 2 2 5 3
Luxembourg 6 5 5 0 0 0 6 6 6 0 0 0 Luxembourg 3 3 3 3 5 5 5 5 5 5 3 5 5 3
Malta 1 0 0 0 0 0 1 0 0 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Netherlands 168 159 159 6 6 6 197 183 183 35 30 30 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 1 1 1 0 0 0 1 1 1 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 3 5 5 2 5 5 3
Poland 15 16 16 3 3 3 17 18 18 5 5 5 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 47 45 47 15 15 15 43 45 50 11 15 18 Portugal 3 3 2 2 2 2 2 3 2 2 2 2 2 3
Serbia 3 3 3 1 1 1 2 2 2 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 0 3 3 0 0 0 0 3 3 0 0 0 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 2 1 2 0 0 0 2 2 2 0 0 1 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 44 51 62 2 3 3 46 53 64 4 5 5 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 1 1 1 0 0 0 1 1 1 0 0 0 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 36 36 36 5 5 5 32 32 32 1 1 1 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 67 67 67 0 0 0 71 71 71 5 5 5 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 724 715 725 68 57 57 769 768 779 113 110 111 Total Europe
Russia 5 5 5 0 0 0 5 5 5 0 0 0 Russie 3 3 2 2 3 2 2 5 2 2 5 2 2 3
Total EECCA 5 5 5 0 0 0 5 5 5 0 0 0 Total EOCAC
Canada 19 -0 -4 0 0 0 25 10 9 6 10 13 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 115 128 134 0 0 0 161 172 177 46 44 43 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 134 128 130 0 0 0 186 182 186 53 54 56 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 3

TABLE 3
VENEER SHEETS FEUILLES DE PLACAGE
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 45 55 55 8 8 8 55 66 66 17 19 19 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 40 42 42 38 40 42 8 12 12 6 10 12 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 21 35 36 29 29 29 38 60 61 47 55 55 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 78 55 55 71 70 70 64 80 80 57 95 95 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 13 12 12 152 173 173 7 9 9 146 170 170 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 185 200 200 157 160 160 134 140 140 106 100 100 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 150 147 141 100 100 100 104 90 82 55 43 41 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 83 85 85 35 43 43 69 69 69 21 27 27 Hongrie 3 2 3 3 2 2 2 2 5 5 2 2 2 3
Ireland 4 4 4 0 0 0 5 5 5 1 1 1 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 254 277 277 107 107 107 174 206 206 27 36 36 Italie 3 2 3 3 2 5 5 2 2 5 2 2 5 3
Latvia 120 125 125 0 0 0 148 150 150 28 25 25 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 0 0 0 0 0 0 0 0 0 0 0 0 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 18 18 18 0 0 0 30 30 30 12 12 12 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 9 9 9 0 0 0 10 10 10 1 1 1 Macédoine du Nord 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Poland 98 101 107 39 41 45 74 75 78 15 15 16 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 2 10 5 25 45 40 48 30 35 71 65 70 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 21 23 24 28 30 31 13 14 15 20 21 22 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 22 25 25 21 20 20 19 20 20 17 15 15 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 10 3 5 19 18 18 12 14 14 22 29 27 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 142 155 176 69 106 106 106 92 119 33 42 49 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 21 27 23 60 65 60 12 15 13 51 53 50 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 78 78 78 75 75 75 16 16 16 13 13 13 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 20 20 20 0 0 0 22 22 22 2 2 2 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 1,438 1,511 1,527 1,032 1,130 1,127 1,175 1,231 1,259 769 850 859 Total Europe
Armenia 0 0 0 0 0 0 0 0 0 0 0 0 Arménie 3 3 3 3 5 5 5 3 5 5 5 5 5 3
Moldova 15 15 15 0 0 0 15 15 15 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 1,096 1,440 1,692 1,570 1,963 2,257 13 13 13 487 535 578 Russie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total EECCA 1,111 1,455 1,707 1,570 1,963 2,257 28 28 28 487 535 578 Total EOCAC
Canada 178 119 111 581 565 565 145 193 203 549 639 656 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 2,668 2,778 2,851 2,284 2,370 2,445 600 629 632 215 221 226 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 2,846 2,896 2,962 2,866 2,934 3,010 745 822 835 764 860 883 Total Amérique du Nord
Note: Definition of veneers excludes domestic use for plywood.
La définition des placages exclus la conversion directe en contreplaqué.
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 4

TABLE 4
PLYWOOD CONTREPLAQUES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 102 62 62 167 167 167 234 275 275 299 380 380 Autriche 3 3 3 3 3 5 5 2 2 2 2 2 2 3
Bosnia-Herzegovina 26 25 29 28 30 32 15 12 15 16 17 18 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 17 19 19 0 0 0 17 19 19 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 207 163 167 263 257 262 129 100 105 186 195 200 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 82 88 88 165 170 170 93 125 125 176 207 207 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 290 320 320 990 1,170 1,140 128 120 120 828 970 940 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 550 581 620 234 240 250 477 501 530 161 160 160 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,146 840 1,000 100 100 100 1,410 1,100 1,250 363 360 350 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 265 275 275 49 58 58 375 310 310 159 93 93 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 57 55 57 0 0 0 57 55 57 0 0 0 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 422 528 528 265 265 265 348 464 464 191 201 201 Italie 3 2 3 3 2 5 5 2 2 5 2 2 5 3
Latvia 61 45 45 318 310 310 100 95 95 357 360 360 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 8 8 8 0 0 0 10 10 10 2 2 2 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Malta 10 12 14 0 0 0 10 12 14 0 0 0 Malte 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 4 4 4 0 0 0 5 5 5 1 1 1 Monténégro 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Netherlands 546 585 585 0 0 0 635 670 670 89 85 85 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 27 27 27 0 0 0 28 28 28 1 1 1 Macédoine du Nord 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Poland 590 630 650 483 510 530 415 430 450 309 310 330 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 195 115 122 91 0 0 118 130 140 14 15 18 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 36 37 39 11 12 13 31 32 33 6 7 7 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 364 380 380 417 425 425 67 75 75 120 120 120 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 61 83 90 95 109 120 45 64 60 78 90 90 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 449 501 483 508 580 590 147 202 200 206 281 307 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 294 250 255 90 95 90 235 195 195 30 40 30 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 202 209 214 7 7 7 198 205 210 3 3 3 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 147 147 147 105 105 105 85 85 85 43 43 43 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 1,280 1,280 1,280 0 0 0 1,362 1,362 1,362 83 83 83 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 7,436 7,269 7,508 4,386 4,610 4,634 6,771 6,681 6,902 3,721 4,022 4,028 Total Europe
Armenia 102 102 102 0 0 0 102 102 102 0 0 0 Arménie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Moldova 8 8 8 3 3 3 8 8 8 3 3 3 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 1,215 1,443 1,509 3,999 4,599 4,829 120 126 126 2,904 3,282 3,446 Russie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total EECCA 1,325 1,554 1,619 4,003 4,602 4,832 230 236 236 2,907 3,284 3,448 Total EOCAC
Canada 2,377 2,777 2,823 1,673 1,874 1,828 1,248 1,495 1,585 543 592 589 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 14,029 14,637 14,944 9,500 9,875 10,168 5,058 5,304 5,330 528 542 555 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 16,406 17,415 17,767 11,172 11,749 11,996 6,305 6,799 6,915 1,071 1,134 1,144 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 5

TABLE 5
PARTICLE BOARD (excluding OSB) PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 719 798 803 2,330 2,480 2,500 308 320 325 1,919 2,002 2,022 Autriche 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Bosnia-Herzegovina 168 164 165 12 13 12 157 153 155 1 2 2 Bosnie-Herzegovine 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Cyprus 43 42 42 0 0 0 43 42 42 0 0 0 Chypre 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Czech Republic 281 400 436 774 1,010 1,040 315 320 323 809 930 927 République tchèque 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Estonia 170 185 185 180 210 210 73 74 74 83 99 99 Estonie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Finland 144 135 135 88 88 88 76 77 77 20 30 30 Finlande 2 2 2 2 0 -3 -3 0 -3 -3 0 -3 -3 2
France 1,592 2,160 2,508 2,233 2,633 3,033 579 591 640 1,219 1,065 1,165 France 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Germany 5,789 5,660 5,815 5,556 5,550 5,575 1,903 1,660 1,840 1,670 1,550 1,600 Allemagne 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Hungary 319 405 405 334 355 355 326 352 352 340 302 302 Hongrie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Ireland 101 114 114 0 0 0 116 130 130 16 16 16 Irlande 2 2 2 2 0 0 0 0 -3 -3 0 0 0 2
Italy 2,743 2,716 2,716 2,568 2,568 2,568 634 780 780 459 632 632 Italie 2 2 2 2 0 0 0 0 -3 0 0 -3 0 2
Latvia 162 160 160 396 400 400 49 50 50 283 290 290 Lettonie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Luxembourg 22 22 22 0 0 0 26 26 26 4 4 4 Luxembourg 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Malta 10 10 10 0 0 0 10 10 10 0 0 0 Malte 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Montenegro 18 18 18 0 0 0 18 18 18 -0 -0 -0 Monténégro 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Netherlands 376 404 404 0 0 0 456 484 484 81 80 80 Pays-Bas 2 2 2 2 0 0 0 0 0 0 0 0 0 2
North Macedonia 95 95 95 0 0 0 96 96 96 1 1 1 Macédoine du Nord 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Poland 6,640 6,640 6,650 5,739 5,670 5,670 1,626 1,650 1,680 724 680 700 Pologne 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Portugal 549 647 693 700 710 720 288 365 412 438 428 439 Portugal 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Serbia 349 362 364 217 220 223 193 195 197 61 53 56 Serbie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Slovakia 238 235 235 598 625 625 146 110 110 506 500 500 Slovaquie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Slovenia 143 163 157 0 0 0 147 168 160 4 5 4 Slovénie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Spain 1,586 1,566 1,544 1,783 1,847 1,855 446 616 645 643 897 956 Espagne 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Sweden 874 908 895 568 580 565 386 415 410 80 87 80 Suède 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Switzerland 262 280 300 366 380 390 126 125 130 230 225 220 Suisse 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Turkey 3,234 3,234 3,234 4,075 4,075 4,075 29 29 29 870 870 870 Turquie 2 2 2 2 0 0 0 0 0 0 0 0 0 2
United Kingdom 2,203 2,465 2,465 1,698 1,897 1,897 590 649 649 86 81 81 Royaume-Uni 2 2 2 2 -1 -3 -3 0 0 0 0 0 0 2
Total Europe 28,830 29,988 30,569 30,215 31,311 31,801 9,162 9,505 9,844 10,548 10,828 11,075 Total Europe
Armenia 122 122 122 0 0 0 122 122 122 0 0 0 Arménie 2 2 2 2 0 0 0 0 0 0 -1 0 0 2
Moldova 93 93 93 0 0 0 93 93 93 0 0 0 Moldova 2 2 2 2 0 0 0 -1 0 0 -3 0 0 2
Russia 5,289 6,123 6,498 6,731 7,146 7,535 299 670 789 1,741 1,692 1,825 Russie 2 2 2 2 -1 0 0 1 0 0 -1 0 0 2
Total EECCA 5,504 6,337 6,713 6,731 7,146 7,535 514 884 1,004 1,741 1,692 1,825 Total EOCAC
Canada 2,010 1,360 1,227 2,277 1,791 1,748 492 609 621 759 1,041 1,142 Canada 2 2 2 2 0 0 0 0 0 0 0 0 0 2
United States 5,237 5,408 5,515 4,136 4,465 4,553 1,462 1,334 1,359 361 391 398 Etats-Unis 2 2 2 2 0 0 0 0 0 0 0 0 0 2
Total North America 7,247 6,768 6,742 6,413 6,257 6,302 1,954 1,943 1,980 1,121 1,432 1,539 Total Amérique du Nord
Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 5a

TABLE 5a
ORIENTED STRAND BOARD (OSB) PANNEAUX STRUCTURAUX ORIENTES (OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 177 212 212 0 0 0 182 220 220 5 8 8 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 21 27 30 9 10 12 12 17 19 0 0 1 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 20 18 18 0 0 0 20 18 18 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 335 260 282 937 745 770 155 165 175 757 650 663 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 44 45 45 0 0 0 45 46 46 1 1 1 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 49 49 49 0 0 0 49 49 49 0 0 0 Finlande 3 2 3 3 2 5 5 2 5 5 2 5 5 3
France 450 440 442 367 367 367 118 109 110 35 35 35 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,569 1,640 1,635 1,234 1,250 1,275 846 840 860 511 450 500 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 120 124 124 359 332 332 77 60 60 316 268 268 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 47 47 47 296 296 296 0 0 0 249 249 249 Irlande 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Italy 302 302 302 100 100 100 231 231 231 29 29 29 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 116 70 70 698 650 650 71 70 70 653 650 650 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 76 76 76 338 338 338 7 7 7 269 269 269 Luxembourg 3 3 3 3 3 5 5 2 5 5 2 5 5 3
Montenegro 3 3 3 0 0 0 3 3 3 0 0 0 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 167 185 185 0 0 0 171 190 190 4 5 5 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 11 11 11 0 0 0 11 11 11 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 2 5 5 3 5 5 3
Poland 666 710 750 833 930 980 246 200 220 413 420 450 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 36 33 37 0 0 0 37 35 38 1 2 1 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 62 66 69 0 0 0 66 70 73 4 4 4 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 91 90 90 0 0 0 91 90 90 1 0 0 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 34 39 38 0 0 0 35 42 40 1 3 2 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 11 4 7 2 3 3 34 37 38 25 37 34 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 140 125 125 0 0 0 146 130 130 6 5 5 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 90 90 90 0 0 0 90 90 90 0 0 0 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 170 170 170 75 75 75 101 101 101 6 6 6 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 852 901 901 598 598 598 414 455 455 160 152 152 Royaume-Uni 3 3 3 3 3 5 5 2 2 2 2 2 2 3
Total Europe 5,659 5,737 5,808 5,846 5,695 5,797 3,260 3,286 3,344 3,447 3,244 3,332 Total Europe
Armenia 4 4 4 0 0 0 4 4 4 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 3 5 5 3
Belarus 0 0 0 0 0 0 0 0 0 0 0 0 Bélarus 2 2 2 2 2 ... ... 2 ... ... 2 ... ... 2
Moldova 34 34 34 0 0 0 34 34 34 0 0 0 Moldova 3 3 3 3 2 5 5 3 5 5 5 5 5 3
Russia 1,615 1,078 1,260 1,626 1,627 1,953 351 176 140 362 725 833 Russie 3 3 2 2 3 2 2 2 2 2 3 2 2 3
Total EECCA 1,653 1,116 1,298 1,626 1,627 1,953 389 213 178 362 725 834 Total EOCAC
Canada 1,501 1,410 1,341 6,629 7,156 7,199 123 121 120 5,251 5,866 5,978 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 18,584 19,345 19,723 13,713 14,088 14,366 5,066 5,459 5,561 195 201 204 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 20,085 20,756 21,064 20,342 21,243 21,565 5,188 5,580 5,681 5,446 6,068 6,183 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 6

TABLE 6
FIBREBOARD PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 436 454 467 576 650 652 339 361 373 479 557 558 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 107 119 125 7 9 10 101 110 117 0 0 2 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 15 16 16 0 0 0 15 16 16 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 290 194 202 44 45 46 493 406 415 247 256 259 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 56 57 57 65 65 65 69 75 75 78 83 83 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 164 150 150 49 49 49 156 148 148 42 47 47 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 624 794 995 912 1,061 1,161 1,013 1,055 1,058 1,301 1,322 1,224 France 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Germany 4,097 4,155 4,235 5,801 5,850 5,900 1,784 1,835 1,940 3,488 3,530 3,605 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 409 409 409 451 451 451 167 167 167 209 209 209 Hongrie 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Ireland 168 109 109 512 512 512 102 115 115 445 518 518 Irlande 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Italy 1,403 1,417 1,417 827 827 827 796 926 926 220 337 337 Italie 3 3 3 3 3 3 3 2 3 3 2 3 3 3
Latvia 35 32 32 0 0 0 57 53 53 22 21 21 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 47 47 47 147 147 147 19 19 19 119 119 119 Luxembourg 3 3 3 3 3 3 3 2 3 3 3 3 3 3
Malta 6 7 8 0 0 0 6 7 8 0 0 0 Malte 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Montenegro 14 14 14 0 0 0 14 14 14 0 0 0 Monténégro 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Netherlands 463 469 469 29 29 29 541 585 585 107 145 145 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 53 53 53 0 0 0 53 53 53 0 0 0 Macédoine du Nord 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Poland 3,676 3,855 4,055 4,844 4,960 5,110 851 875 945 2,019 1,980 2,000 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 382 391 386 443 453 457 320 323 326 382 385 397 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 124 133 134 24 26 27 134 143 145 34 36 38 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 201 210 210 0 0 0 224 230 230 23 20 20 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 23 23 23 118 128 128 49 71 60 144 176 165 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 1,038 1,012 1,138 1,535 1,714 1,874 371 444 465 869 1,146 1,201 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 268 307 295 0 0 0 347 390 375 78 83 80 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 272 292 302 192 205 210 263 266 266 183 179 174 Suisse 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Turkey 4,623 4,623 4,623 4,835 4,835 4,835 74 74 74 286 286 286 Turquie 3 3 3 3 2 2 2 2 2 2 3 3 3 3
United Kingdom 1,475 1,487 1,487 656 656 656 879 889 889 59 58 58 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 20,470 20,828 21,457 22,067 22,672 23,146 9,238 9,650 9,857 10,835 11,494 11,546 Total Europe
Armenia 63 63 63 0 0 0 63 63 63 0 0 0 Arménie 3 3 3 3 3 3 3 2 3 3 3 3 3 3
Moldova 37 37 37 0 0 0 37 37 37 0 0 0 Moldova 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Russia 2,802 3,415 3,674 3,581 4,301 4,635 459 591 637 1,238 1,476 1,597 Russie 3 3 3 3 3 2 2 3 3 3 3 2 2 3
Total EECCA 2,902 3,515 3,775 3,581 4,301 4,635 559 691 737 1,238 1,476 1,597 Total EOCAC
Canada 1,219 1,573 1,583 1,290 1,340 1,340 761 1,066 1,074 832 832 831 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 8,244 8,244 8,244 6,058 6,058 6,058 2,876 2,876 2,876 690 690 690 Etats-Unis 3 3 3 3 3 3 3 2 3 3 2 3 3 3
Total North America 9,463 9,818 9,827 7,348 7,398 7,398 3,638 3,942 3,951 1,523 1,522 1,521 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 6a

TABLE 6a
HARDBOARD PANNEAUX DURS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 35 30 32 66 70 72 18 17 18 49 57 58 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 11 13 16 1 1 1 10 12 15 0 0 0 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 2 2 2 0 0 0 2 2 2 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 6 55 57 0 0 0 55 67 68 49 11 11 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 26 25 25 0 0 0 28 30 30 3 5 5 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 33 24 24 49 49 49 21 18 18 37 43 43 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France -135 -135 -135 87 87 87 225 225 225 447 447 447 France 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Germany 203 205 210 0 0 0 231 235 240 28 30 30 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 27 27 27 2 2 2 35 35 35 10 10 10 Hongrie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Ireland 22 20 20 0 0 0 22 20 20 0 0 0 Irlande 3 3 3 3 5 5 5 5 2 2 5 5 5 3
Italy 109 109 109 16 16 16 105 105 105 12 12 12 Italie 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Latvia 13 13 13 0 0 0 15 15 15 2 2 2 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 5 5 5 0 0 0 5 5 5 0 0 0 Luxembourg 3 3 3 3 3 5 5 2 5 5 3 5 5 3
Malta 0 1 1 0 0 0 0 1 1 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 2 2 2 0 0 0 2 2 2 0 0 0 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 43 45 45 0 0 0 64 65 65 21 20 20 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 10 10 10 0 0 0 10 10 10 0 0 0 Macédoine du Nord 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Poland -157 -80 -10 91 110 110 151 160 180 398 350 300 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 21 28 25 12 19 20 28 29 30 19 20 25 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 35 39 40 24 26 27 30 33 34 19 20 21 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 22 20 20 0 0 0 23 20 20 1 0 0 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 1 2 2 0 0 0 9 9 9 8 7 7 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain -4 13 12 32 40 41 34 50 48 70 77 77 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 71 70 69 0 0 0 81 82 80 10 12 11 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 13 13 13 0 0 0 21 21 21 8 8 8 Suisse 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Turkey 7 7 7 0 0 0 57 57 57 50 50 50 Turquie 3 2 3 3 2 2 2 2 2 2 2 5 5 3
United Kingdom 96 96 96 0 0 0 101 101 101 4 4 4 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 517 659 736 380 420 425 1,384 1,425 1,453 1,246 1,186 1,142 Total Europe
Armenia 4 4 4 0 0 0 4 4 4 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 3 5 5 3
Moldova 16 16 16 0 0 0 16 16 16 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 322 390 350 370 450 400 100 100 100 148 160 150 Russie 3 2 3 3 2 2 2 2 5 5 2 2 2 3
Total EECCA 341 409 369 370 450 400 119 119 119 148 160 150 Total EOCAC
Canada 63 81 75 90 90 90 65 93 93 92 102 108 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 211 211 211 212 212 212 238 238 238 239 239 239 Etats-Unis 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Total North America 274 292 286 302 302 302 303 331 331 331 341 347 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 6b

TABLE 6b
MDF/HDF
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 255 259 260 510 580 580 170 174 175 425 495 495 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 88 94 96 5 6 7 83 88 90 0 0 1 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 12 13 13 0 0 0 12 13 13 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 198 87 91 44 45 46 253 154 158 99 112 113 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 22 23 23 0 0 0 38 41 41 16 18 18 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 111 106 106 0 0 0 115 110 110 4 4 4 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 706 859 1,060 751 900 1,000 716 757 760 761 798 700 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 2,314 2,325 2,375 4,600 4,625 4,650 593 600 650 2,879 2,900 2,925 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 355 355 355 430 430 430 117 117 117 193 193 193 Hongrie 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Ireland 74 89 89 438 438 438 80 95 95 445 445 445 Irlande 3 3 3 3 5 5 5 5 2 2 5 5 5 3
Italy 1,229 1,243 1,243 809 809 809 627 757 757 207 323 323 Italie 3 2 3 3 2 5 5 2 2 5 2 2 5 3
Latvia 21 18 18 0 0 0 23 20 20 2 2 2 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 37 37 37 147 147 147 9 9 9 119 119 119 Luxembourg 3 3 3 3 3 5 5 2 5 5 3 5 5 3
Malta 5 5 6 0 0 0 5 5 6 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 6 6 6 0 0 0 6 6 6 0 0 0 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 318 315 315 0 0 0 399 435 435 81 120 120 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 12 12 12 0 0 0 12 12 12 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 3 5 5 2 5 5 3
Poland 3,209 3,300 3,400 3,178 3,250 3,350 684 700 750 653 650 700 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 360 362 362 423 425 428 280 282 284 343 345 350 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 85 89 89 0 0 0 100 105 106 15 16 17 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 119 120 120 0 0 0 140 140 140 21 20 20 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 17 16 16 118 128 128 32 54 43 132 166 155 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 994 950 1,077 1,448 1,617 1,775 326 379 402 780 1,047 1,100 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 181 220 211 0 0 0 238 280 270 57 60 59 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 90 105 110 192 205 210 73 70 65 175 170 165 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 4,669 4,669 4,669 4,775 4,775 4,775 17 17 17 123 123 123 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 1,315 1,327 1,327 656 656 656 710 720 720 51 49 49 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 16,801 17,002 17,485 18,524 19,037 19,430 5,859 6,141 6,251 7,582 8,175 8,197 Total Europe
Armenia 57 57 57 0 0 0 57 57 57 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Moldova 21 21 21 0 0 0 21 21 21 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 2,448 2,993 3,292 3,199 3,839 4,223 329 461 507 1,080 1,307 1,437 Russie 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 2,527 3,071 3,371 3,199 3,839 4,223 408 539 585 1,080 1,307 1,438 Total EOCAC
Canada 1,041 1,327 1,343 1,100 1,150 1,150 569 793 797 628 615 604 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 4,836 4,836 4,836 2,667 2,667 2,667 2,453 2,453 2,453 284 284 284 Etats-Unis 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Total North America 5,877 6,163 6,179 3,767 3,817 3,817 3,022 3,246 3,251 912 899 889 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 6c

TABLE 6c
OTHER FIBREBOARD AUTRES PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 146 165 175 0 0 0 151 170 180 5 5 5 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 8 12 13 1 2 2 8 10 12 0 0 1 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 86 52 54 0 0 0 185 185 189 99 133 135 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 9 9 9 65 65 65 3 4 4 59 60 60 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 20 20 20 0 0 0 20 20 20 0 0 0 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 53 70 70 74 74 74 72 73 73 93 77 77 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,580 1,625 1,650 1,201 1,225 1,250 961 1,000 1,050 581 600 650 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 28 28 28 19 19 19 15 15 15 6 6 6 Hongrie 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Ireland 73 0 0 73 73 73 0 0 0 0 73 73 Irlande 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Italy 65 65 65 3 3 3 65 65 65 2 2 2 Italie 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Latvia 1 1 1 0 0 0 19 18 18 18 17 17 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 5 5 5 0 0 0 5 5 5 0 0 0 Luxembourg 3 3 3 3 3 5 5 2 5 5 2 5 5 3
Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 6 6 6 0 0 0 6 6 6 0 0 0 Monténégro 3 3 3 3 5 5 5 5 5 5 5 5 5 3
Netherlands 102 109 109 29 29 29 78 85 85 5 5 5 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 32 32 32 0 0 0 32 32 32 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 3 5 5 3 5 5 3
Poland 624 635 665 1,575 1,600 1,650 17 15 15 968 980 1,000 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 0 1 -1 8 9 9 12 12 12 19 20 22 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 4 5 5 0 0 0 4 5 5 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 60 70 70 0 0 0 60 70 70 0 0 0 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 5 5 5 0 0 0 8 8 8 3 3 3 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 48 49 49 55 57 58 11 15 15 18 23 24 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 16 17 15 0 0 0 28 28 25 12 11 10 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 169 174 179 0 0 0 169 175 180 1 1 1 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey -53 -53 -53 60 60 60 0 0 0 113 113 113 Turquie 3 3 3 3 2 2 2 2 2 2 5 5 5 3
United Kingdom 64 64 64 0 0 0 68 68 68 4 4 4 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 3,152 3,167 3,236 3,163 3,215 3,291 1,996 2,085 2,153 2,007 2,133 2,208 Total Europe
Armenia 2 2 2 0 0 0 2 2 2 0 0 0 Arménie 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Moldova 1 1 1 0 0 0 1 1 1 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 32 32 32 12 12 12 30 30 30 10 10 10 Russie 3 3 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 35 35 35 12 12 12 32 32 32 10 10 10 Total EOCAC
Canada 115 165 166 100 100 100 127 180 184 112 115 118 Canada 3 3 2 2 5 2 2 2 2 2 2 2 2 3
United States 3,197 3,197 3,197 3,179 3,179 3,179 185 185 185 167 167 167 Etats-Unis 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Total North America 3,312 3,362 3,363 3,279 3,279 3,279 312 365 369 279 282 285 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 7

TABLE 7
WOOD PULP PATE DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 2,158 2,300 2,330 2,022 2,020 2,100 578 680 680 442 400 450 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 111 118 118 70 75 76 41 43 42 0 0 0 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 805 831 772 594 591 611 253 240 250 42 0 89 République tchèque 2 2 2 2 2 2 2 2 2 2 2 ... 2 2
Estonia 81 70 70 231 250 250 47 50 50 198 230 230 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland a 6,411 6,802 6,616 10,520 11,318 11,331 224 220 220 4,333 4,736 4,935 Finlande a 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 2,918 2,927 2,800 1,620 1,650 1,600 1,745 1,726 1,700 447 449 500 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 5,015 5,167 5,178 2,255 2,267 2,278 3,952 4,000 4,000 1,192 1,100 1,100 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 195 177 177 51 33 33 147 145 145 4 2 2 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 41 45 45 0 0 0 41 45 45 0 0 0 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 3,416 3,416 3,416 223 223 223 3,271 3,271 3,271 77 77 77 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 1 1 1 0 0 0 1 1 1 0 0 0 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 0 0 0 0 0 0 0 0 0 0 0 0 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Netherlands 1,137 1,057 737 37 37 37 1,782 1,900 1,500 682 880 800 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 2,709 2,750 2,810 1,717 1,730 1,750 1,152 1,180 1,230 159 160 170 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 1,506 1,615 1,650 2,683 2,700 2,750 143 145 150 1,320 1,230 1,250 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 86 88 90 0 0 0 86 88 90 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 537 550 550 687 675 675 162 175 175 312 300 300 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 367 353 347 91 83 85 289 275 270 13 5 8 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 1,847 1,837 1,933 1,730 1,798 1,923 1,047 1,088 1,209 929 1,049 1,199 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 8,437 8,460 8,260 12,034 12,100 11,850 653 610 610 4,250 4,250 4,200 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 171 160 160 72 70 70 99 90 90 0 0 0 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 1,381 989 1,138 70 70 70 1,442 1,050 1,200 131 131 132 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 971 924 924 220 220 220 768 721 721 17 17 17 Royaume-Uni 3 3 3 3 3 5 5 2 2 2 2 2 2 3
Total Europe 40,301 40,637 40,122 36,927 37,909 37,932 17,924 17,744 17,650 14,549 15,016 15,459 Total Europe
Russia 6,532 6,548 6,677 8,765 8,853 9,030 211 213 215 2,444 2,517 2,568 Russie 3 3 2 2 2 2 2 3 2 2 2 2 2 3
Total EECCA 6,532 6,548 6,677 8,765 8,853 9,030 211 213 215 2,444 2,517 2,568 Total EOCAC
Canada 5,731 6,411 6,547 14,109 14,198 13,702 640 1,109 1,555 9,018 8,896 8,710 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 48,726 48,750 48,763 50,871 50,895 50,907 5,661 5,664 5,665 7,806 7,809 7,809 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 54,457 55,161 55,310 64,980 65,093 64,609 6,301 6,773 7,220 16,825 16,705 16,519 Total Amérique du Nord
a imports exclude dissolving pulp a les importations excluent pâte à dissoudre
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 8

TABLE 8
PAPER AND PAPERBOARD PAPIERS ET CARTONS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 2,111 2,170 2,200 4,719 5,050 5,100 1,275 1,300 1,350 3,882 4,180 4,250 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 154 160 166 167 180 182 99 100 106 113 120 122 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 46 48 48 0 0 0 46 48 48 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 1,451 1,460 1,474 893 904 924 1,436 1,447 1,480 878 891 930 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 134 140 140 72 75 75 133 140 140 71 75 75 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 702 740 720 8,210 8,750 8,540 319 320 320 7,827 8,330 8,140 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 7,904 8,069 8,300 6,873 7,000 7,300 4,487 4,661 4,500 3,456 3,592 3,500 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 18,251 18,660 18,983 21,348 23,060 23,383 9,999 10,000 10,000 13,096 14,400 14,400 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 928 944 944 864 861 861 841 852 852 777 769 769 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 422 410 415 60 65 70 388 370 375 26 25 30 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 10,204 10,204 10,204 8,514 8,514 8,514 4,773 4,773 4,773 3,083 3,083 3,083 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 163 160 160 25 30 30 170 170 170 32 40 40 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 25 25 25 0 0 0 31 31 31 6 6 6 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Malta 26 23 24 0 0 0 26 23 24 0 0 0 Malte 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 10 10 10 0 0 0 10 10 10 0 0 0 Monténégro 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Netherlands 2,608 2,670 2,670 2,869 2,870 2,870 2,278 2,300 2,300 2,539 2,500 2,500 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 79 79 79 28 28 28 68 68 68 16 16 16 Macédoine du Nord 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Poland 7,332 7,400 7,500 5,129 5,250 5,350 4,677 4,700 4,750 2,474 2,550 2,600 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 1,007 1,050 990 1,900 2,000 2,030 858 850 860 1,751 1,800 1,900 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 727 733 737 577 580 583 452 456 459 302 303 305 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 476 600 600 758 900 950 427 400 400 709 700 750 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 833 730 680 706 650 600 757 710 710 630 630 630 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 6,483 6,541 6,390 6,269 6,473 6,477 2,734 2,823 2,917 2,520 2,756 3,004 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 1,428 1,195 1,090 9,333 9,130 8,800 656 665 650 8,561 8,600 8,360 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,050 1,050 1,055 1,168 1,170 1,175 621 610 600 739 730 720 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 4,489 4,489 4,489 2,800 2,800 2,800 2,505 2,505 2,505 816 816 816 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 7,321 7,207 7,225 3,631 3,600 3,550 4,439 4,325 4,375 749 718 700 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 76,362 76,966 77,318 86,911 89,940 90,192 44,504 44,656 44,772 55,053 57,630 57,646 Total Europe
Armenia 61 61 61 21 21 21 41 41 41 0 0 0 Arménie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Moldova 44 44 44 8 8 8 39 39 39 2 2 2 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 7,116 7,615 7,952 9,527 10,194 10,704 1,191 1,167 1,143 3,601 3,745 3,895 Russie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total EECCA 7,222 7,721 8,057 9,556 10,223 10,733 1,270 1,246 1,223 3,604 3,748 3,898 Total EOCAC
Canada 4,720 4,715 4,572 8,352 8,604 8,379 2,362 2,474 2,406 5,994 6,363 6,213 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 63,567 66,128 67,399 66,239 68,536 70,152 7,642 7,832 7,870 10,314 10,240 10,623 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 68,287 70,843 71,971 74,591 77,140 78,532 10,003 10,306 10,276 16,308 16,603 16,836 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 9

TABLE 9
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
TOTAL TOTAL
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Total Ind. RW Logs Pulpwood Other Wood fuel Total RW Country
Austria 11,462 12,924 13,110 8,504 9,732 9,830 2,958 3,192 3,280 0 0 0 5,327 5,111 5,200 16,790 18,035 18,310 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 2,819 2,806 2,848 2,031 2,016 2,050 614 624 626 174 166 172 1,484 1,502 1,496 4,303 4,308 4,344 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 6 7 7 9 9 9 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 29,152 21,353 18,590 20,678 13,107 10,325 8,359 8,133 8,150 115 113 115 6,717 7,160 7,210 35,869 28,513 25,800 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 6,502 6,100 6,100 4,134 3,900 3,900 2,316 2,150 2,150 52 50 50 4,136 3,830 3,830 10,637 9,930 9,930 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 51,530 56,946 57,515 22,479 25,857 25,679 29,051 31,089 31,836 0 0 0 8,893 8,893 8,893 60,423 65,839 66,407 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 24,259 25,840 25,080 15,965 17,400 16,700 7,793 7,900 7,800 501 540 580 23,444 24,500 25,700 47,703 50,340 50,780 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 61,790 62,377 61,177 48,213 48,900 47,300 13,503 13,400 13,800 74 77 77 22,261 21,300 21,300 84,051 83,677 82,477 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 2,457 2,796 2,796 1,155 1,257 1,257 902 919 919 400 619 619 2,516 2,672 2,672 4,972 5,468 5,468 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 3,695 3,542 3,772 2,350 2,485 2,647 1,197 877 934 148 180 192 286 232 247 3,981 3,774 4,019 Irlande 3 3 2 2 3 2 2 2 2 2 3 2 2 3 2 2 3 2 2 3
Italy 5,002 5,002 5,002 3,352 3,352 3,352 1,018 1,018 1,018 632 632 632 10,839 10,839 10,839 15,841 15,841 15,841 Italie 3 2 3 3 2 3 3 2 2 2 2 3 3 3 3 3 3 3 3 3
Latvia 12,727 12,350 12,350 7,379 7,400 7,400 4,123 3,850 3,850 1,225 1,100 1,100 2,620 2,580 2,580 15,347 14,930 14,930 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 291 340 332 81 88 86 104 166 160 106 86 86 59 77 73 350 416 405 Luxembourg 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 299 150 234 249 124 187 43 22 42 7 4 5 49 25 37 348 174 271 Monténégro 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 662 725 725 214 260 260 402 420 420 46 45 45 2,323 2,325 2,325 2,985 3,050 3,050 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 125 125 125 114 114 114 0 0 0 11 11 11 610 610 610 735 735 735 Macédoine du Nord 3 2 3 3 2 3 3 2 2 2 2 3 3 2 3 3 2 3 3 3
Poland 35,879 37,290 38,050 16,913 17,200 17,400 18,355 19,400 19,900 612 690 750 4,713 4,800 4,900 40,593 42,090 42,950 Pologne 3 3 3 3 2 2 2 3 3 3 2 2 2 2 2 2 3 3 3 3
Portugal 11,803 12,316 12,190 1,916 2,066 1,980 9,540 9,900 9,850 347 350 360 1,618 1,500 1,560 13,422 13,816 13,750 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 1,782 1,806 1,830 1,217 1,230 1,238 388 396 408 177 180 184 6,454 6,550 6,705 8,236 8,356 8,535 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 6,924 7,185 7,435 3,913 4,100 4,250 2,984 3,050 3,150 26 35 35 524 525 575 7,448 7,710 8,010 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 2,818 2,383 2,476 1,971 1,600 1,700 797 720 720 50 63 56 1,074 1,070 1,070 3,891 3,453 3,546 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 13,881 14,462 14,848 4,114 4,241 4,438 9,431 9,740 9,901 336 481 509 1,615 1,648 1,758 15,496 16,110 16,606 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 69,000 71,000 70,400 37,200 38,400 37,600 31,500 32,300 32,500 300 300 300 5,400 5,600 5,600 74,400 76,600 76,000 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 2,807 2,933 3,003 2,322 2,440 2,500 482 490 500 3 3 3 1,845 1,890 1,960 4,652 4,823 4,963 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 24,474 24,790 24,790 10,889 11,000 11,000 12,447 12,650 12,650 1,138 1,140 1,140 5,396 5,856 5,856 29,870 30,646 30,646 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 8,009 8,636 8,636 5,892 6,475 6,475 1,632 1,632 1,632 485 528 528 2,429 2,429 2,429 10,438 11,065 11,065 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 390,151 396,178 393,415 223,248 224,746 219,670 159,938 164,038 166,197 6,965 7,393 7,549 122,638 123,531 125,432 512,789 519,708 518,848 Total Europe
Armenia 4 4 4 0 0 0 0 0 0 4 4 4 1,546 1,546 1,546 1,550 1,550 1,550 Arménie 3 2 3 3 2 3 3 2 2 2 2 3 3 3 3 3 3 3 3 3
Moldova 45 45 45 31 31 31 0 0 0 14 14 14 1,219 1,219 1,219 1,264 1,264 1,264 Moldova 3 2 3 3 2 3 3 2 2 2 2 3 3 3 3 3 3 3 3 3
Russia 201,891 205,132 198,720 135,325 137,274 132,286 48,954 50,070 49,541 17,612 17,788 16,894 15,109 15,260 14,805 217,000 220,392 213,525 Russie 3 3 2 2 3 2 2 2 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 201,941 205,182 198,769 135,356 137,305 132,317 48,954 50,070 49,541 17,630 17,806 16,912 17,873 18,024 17,569 219,814 223,206 216,338 Total EOCAC
Canada 130,430 125,381 125,381 116,298 111,984 111,984 12,278 11,544 11,544 1,853 1,853 1,853 1,750 1,750 1,750 132,180 127,132 127,132 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 2 2 2 3 2 2 3
United States 369,175 380,381 383,613 180,237 191,345 194,529 175,722 175,805 175,846 13,215 13,230 13,238 60,525 60,588 60,622 429,700 440,969 444,235 Etats-Unis 3 2 3 3 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3
Total North America 499,604 505,762 508,995 296,536 303,330 306,513 188,000 187,349 187,390 15,069 15,083 15,091 62,276 62,338 62,372 561,880 568,101 571,367 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 9a

TABLE 9a
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
SOFTWOOD CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Total Ind. RW Logs Pulpwood Other Wood fuel Total RW Country
Austria 10,587 11,920 12,100 8,229 9,410 9,500 2,358 2,510 2,600 0 0 0 3,359 3,067 3,200 13,946 14,987 15,300 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 2,120 2,097 2,133 1,417 1,390 1,420 559 567 570 144 140 143 5 7 6 2,125 2,104 2,139 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 5 6 6 7 8 8 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 28,432 20,624 17,850 20,286 12,716 9,942 8,036 7,799 7,798 110 109 110 6,165 6,615 6,675 34,597 27,239 24,525 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 4,434 4,200 4,200 3,259 3,100 3,100 1,148 1,075 1,075 27 25 25 1,426 1,330 1,330 5,861 5,530 5,530 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 43,228 48,622 48,806 21,593 24,690 24,512 21,635 23,931 24,294 0 0 0 4,304 4,304 4,304 47,532 52,926 53,110 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 16,361 17,840 16,860 11,669 13,000 12,000 4,479 4,600 4,600 213 240 260 2,344 2,500 2,700 18,705 20,340 19,560 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 56,362 57,175 56,075 45,700 46,500 45,000 10,590 10,600 11,000 72 75 75 9,005 8,500 8,500 65,366 65,675 64,575 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 858 832 832 169 159 159 596 542 542 94 130 130 142 116 116 1,000 948 948 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 3,692 3,532 3,762 2,347 2,475 2,636 1,197 877 934 148 180 192 276 120 128 3,968 3,652 3,889 Irlande 3 3 2 2 3 2 2 2 2 2 5 2 2 5 2 2 3 2 2 3
Italy 4,125 4,125 4,125 2,792 2,792 2,792 853 853 853 480 480 480 1,180 1,180 1,180 5,305 5,305 5,305 Italie 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Latvia 8,407 8,100 8,100 5,476 5,400 5,400 2,241 2,100 2,100 690 600 600 285 280 280 8,692 8,380 8,380 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 209 169 169 63 51 51 40 32 32 106 86 86 37 30 30 246 198 199 Luxembourg 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 167 84 136 148 74 111 17 9 23 2 1 2 5 3 4 172 87 139 Monténégro 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 446 475 475 154 180 180 255 260 260 37 35 35 423 425 425 869 900 900 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 51 51 51 41 41 41 0 0 0 10 10 10 26 26 26 77 77 77 Macédoine du Nord 3 2 3 3 2 3 3 2 2 2 2 5 5 2 5 5 2 3 3 3
Poland 28,625 29,550 29,800 14,167 14,400 14,500 13,886 14,500 14,600 572 650 700 2,297 2,350 2,400 30,922 31,900 32,200 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 3,974 4,316 4,190 1,696 1,866 1,800 2,130 2,300 2,230 147 150 160 422 400 410 4,396 4,716 4,600 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 372 381 390 229 235 240 94 96 98 49 50 52 142 150 155 514 531 545 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 3,776 3,925 4,025 2,598 2,700 2,750 1,157 1,200 1,250 21 25 25 259 250 300 4,035 4,175 4,325 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 1,985 1,445 1,595 1,624 1,200 1,300 346 230 280 15 15 15 121 120 120 2,106 1,565 1,715 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 6,836 7,224 7,522 3,150 3,276 3,473 3,489 3,665 3,751 197 282 298 483 516 626 7,319 7,740 8,148 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 62,550 64,450 63,750 37,000 38,200 37,400 25,400 26,100 26,200 150 150 150 2,700 2,800 2,800 65,250 67,250 66,550 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 2,403 2,512 2,567 2,093 2,200 2,250 308 310 315 2 2 2 786 790 810 3,189 3,302 3,377 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 15,721 15,925 15,925 7,429 7,500 7,500 7,222 7,350 7,350 1,070 1,075 1,075 2,756 2,756 2,756 18,477 18,681 18,681 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 7,896 8,523 8,523 5,829 6,412 6,412 1,630 1,630 1,630 436 480 480 1,817 1,817 1,817 9,713 10,339 10,339 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 313,618 318,097 313,962 199,160 199,969 194,471 109,665 113,137 114,386 4,793 4,990 5,105 40,770 40,456 41,103 354,388 358,553 355,065 Total Europe
Armenia 4 4 4 0 0 0 0 0 0 4 4 4 0 0 0 4 4 4 Arménie 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Moldova 1 1 1 1 1 1 0 0 0 0 0 0 2 2 2 3 3 3 Moldova 3 2 3 3 2 3 3 2 2 2 2 5 5 2 5 5 2 3 3 3
Russia 161,011 162,621 153,754 120,439 121,644 115,562 33,289 33,622 31,941 7,283 7,356 6,252 10,752 10,859 10,316 171,763 173,480 164,071 Russie 3 3 2 2 3 2 2 2 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 161,016 162,626 153,759 120,440 121,645 115,563 33,289 33,622 31,941 7,287 7,360 6,256 10,754 10,861 10,318 171,770 173,487 164,078 Total EOCAC
Canada 107,661 103,728 103,728 103,717 100,117 100,117 3,804 3,470 3,470 140 140 140 805 805 805 108,466 104,533 104,533 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 2 2 2 3 2 2 3
United States 293,023 296,554 299,112 147,988 151,442 153,962 133,458 133,521 133,552 11,578 11,591 11,598 26,345 26,374 26,390 319,368 322,928 325,502 Etats-Unis 3 2 3 3 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3
Total North America 400,685 400,282 402,839 251,705 251,559 254,079 137,262 136,992 137,023 11,718 11,731 11,738 27,150 27,179 27,195 427,834 427,461 430,034 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 9b

TABLE 9b
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
HARDWOOD NON-CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Total Ind. RW Logs Pulpwood Other Wood fuel Total RW Country
Austria 876 1,004 1,010 275 322 330 600 682 680 0 0 0 1,968 2,044 2,000 2,843 3,048 3,010 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 699 709 715 614 626 630 55 57 56 30 26 29 1,479 1,495 1,490 2,178 2,204 2,205 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 720 729 740 392 391 383 323 334 352 5 4 5 552 545 535 1,272 1,274 1,275 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 2,068 1,900 1,900 875 800 800 1,168 1,075 1,075 25 25 25 2,709 2,500 2,500 4,777 4,400 4,400 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 8,302 8,324 8,708 886 1,167 1,167 7,416 7,158 7,542 0 0 0 4,589 4,589 4,589 12,891 12,913 13,297 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 7,898 8,000 8,220 4,296 4,400 4,700 3,314 3,300 3,200 288 300 320 21,100 22,000 23,000 28,998 30,000 31,220 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 5,428 5,202 5,102 2,513 2,400 2,300 2,913 2,800 2,800 2 2 2 13,257 12,800 12,800 18,685 18,002 17,902 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 1,598 1,964 1,964 986 1,098 1,098 306 377 377 306 489 489 2,374 2,557 2,557 3,972 4,520 4,520 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 3 10 11 3 10 11 0 0 0 0 0 0 10 112 119 13 122 130 Irlande 3 3 2 2 3 2 2 2 2 2 5 2 2 5 2 2 3 2 2 3
Italy 877 877 877 560 560 560 166 166 166 152 152 152 9,659 9,659 9,659 10,536 10,536 10,536 Italie 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Latvia 4,320 4,250 4,250 1,903 2,000 2,000 1,882 1,750 1,750 535 500 500 2,335 2,300 2,300 6,655 6,550 6,550 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 82 171 163 18 37 35 64 134 128 0 0 0 22 47 43 104 218 206 Luxembourg 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 132 66 99 101 50 76 26 13 19 5 3 4 44 22 33 176 88 132 Monténégro 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 216 250 250 60 80 80 147 160 160 9 10 10 1,900 1,900 1,900 2,116 2,150 2,150 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 74 74 74 73 73 73 0 0 0 1 1 1 584 584 584 658 658 658 Macédoine du Nord 3 2 3 3 2 3 3 2 2 2 2 5 5 2 5 5 2 3 3 3
Poland 7,254 7,740 8,250 2,747 2,800 2,900 4,468 4,900 5,300 40 40 50 2,416 2,450 2,500 9,670 10,190 10,750 Pologne 3 3 3 3 2 2 2 3 3 3 2 2 2 2 2 2 3 3 3 3
Portugal 7,830 8,000 8,000 220 200 180 7,410 7,600 7,620 200 200 200 1,196 1,100 1,150 9,026 9,100 9,150 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 1,410 1,425 1,440 988 995 998 294 300 310 128 130 132 6,312 6,400 6,550 7,722 7,825 7,990 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 3,148 3,260 3,410 1,316 1,400 1,500 1,828 1,850 1,900 5 10 10 265 275 275 3,413 3,535 3,685 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 833 938 881 348 400 400 450 490 440 35 48 41 952 950 950 1,785 1,888 1,831 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 7,045 7,239 7,326 964 965 965 5,942 6,074 6,150 139 199 211 1,132 1,132 1,132 8,177 8,371 8,458 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 6,450 6,550 6,650 200 200 200 6,100 6,200 6,300 150 150 150 2,700 2,800 2,800 9,150 9,350 9,450 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 404 421 436 229 240 250 174 180 185 1 1 1 1,059 1,100 1,150 1,463 1,521 1,586 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 8,753 8,865 8,865 3,460 3,500 3,500 5,225 5,300 5,300 68 65 65 2,640 3,100 3,100 11,393 11,965 11,965 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 113 113 113 63 63 63 2 2 2 48 48 48 613 613 613 726 726 726 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 76,532 78,080 79,454 24,088 24,777 25,199 50,273 50,901 51,811 2,171 2,402 2,444 81,868 83,074 84,330 158,401 161,155 163,783 Total Europe
Armenia 0 0 0 0 0 0 0 0 0 0 0 0 1,546 1,546 1,546 1,546 1,546 1,546 Arménie 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Moldova 44 44 44 30 30 30 0 0 0 14 14 14 1,217 1,217 1,217 1,261 1,261 1,261 Moldova 3 2 3 3 2 3 3 2 2 2 2 5 5 5 5 5 3 3 3 3
Russia 40,880 42,511 44,965 14,886 15,630 16,724 15,665 16,449 17,600 10,329 10,433 10,641 4,357 4,401 4,489 45,237 46,912 49,454 Russie 3 3 2 2 3 2 2 2 2 2 3 2 2 3 2 2 3 2 2 3
Total EECCA 40,925 42,556 45,010 14,916 15,660 16,754 15,665 16,449 17,600 10,343 10,447 10,655 7,120 7,163 7,251 48,044 49,719 52,261 Total EOCAC
Canada 22,768 21,654 21,654 12,581 11,867 11,867 8,474 8,073 8,073 1,713 1,713 1,713 946 946 946 23,714 22,599 22,599 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 2 2 2 3 2 2 3
United States 76,151 83,827 84,502 32,250 39,903 40,567 42,264 42,284 42,294 1,638 1,639 1,640 34,180 34,214 34,232 110,332 118,041 118,734 Etats-Unis 3 2 3 3 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3
Total North America 98,920 105,481 106,155 44,831 51,771 52,435 50,738 50,358 50,368 3,351 3,352 3,353 35,126 35,160 35,178 134,046 140,640 141,333 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 10

TABLE 10
SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 16,525 17,280 17,550 8,229 9,410 9,500 8,705 8,320 8,500 409 450 450 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 1,459 1,433 1,469 1,417 1,390 1,420 57 60 65 15 17 16 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 9,100 8,655 8,790 20,286 12,716 9,942 555 545 560 11,741 4,606 1,712 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 3,436 3,470 3,470 3,259 3,100 3,100 259 450 450 82 80 80 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 21,577 24,602 24,339 21,593 24,690 24,512 322 203 118 338 291 291 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 11,019 12,370 11,400 11,669 13,000 12,000 184 232 300 834 862 900 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 43,600 42,000 43,000 45,700 46,500 45,000 3,900 3,500 4,000 6,000 8,000 6,000 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 169 159 159 169 159 159 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Ireland 2,397 2,525 2,686 2,347 2,475 2,636 300 320 320 250 270 270 Irlande 3 3 2 2 5 2 2 2 2 2 2 2 2 3
Italy 2,792 2,792 2,792 2,792 2,792 2,792 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Latvia 6,183 6,030 6,030 5,476 5,400 5,400 897 850 850 190 220 220 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 336 324 324 63 51 51 524 524 524 251 251 251 Luxembourg 3 2 3 3 2 2 2 2 5 5 2 5 5 3
Montenegro 148 74 111 148 74 111 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Netherlands 134 188 188 154 180 180 65 83 83 85 75 75 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 41 41 41 41 41 41 0 0 0 0 0 0 Macédoine du Nord 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Poland 13,685 14,000 14,200 14,167 14,400 14,500 1,227 1,250 1,300 1,709 1,650 1,600 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 2,099 1,986 1,915 1,696 1,866 1,800 428 150 140 25 30 25 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 246 254 261 229 235 240 20 22 24 3 3 3 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 2,727 3,200 3,250 2,598 2,700 2,750 898 900 900 769 400 400 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 1,467 1,260 1,300 1,624 1,200 1,300 367 350 320 523 290 320 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 3,245 3,342 3,634 3,150 3,276 3,473 215 226 381 121 160 220 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 37,054 38,279 37,479 37,000 38,200 37,400 718 743 743 664 664 664 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,808 1,930 1,995 2,093 2,200 2,250 55 50 55 340 320 310 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 7,424 7,490 7,490 7,429 7,500 7,500 15 10 10 20 20 20 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 6,051 6,634 6,634 5,829 6,412 6,412 330 330 330 108 108 108 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 194,723 200,321 200,509 199,160 199,969 194,471 20,042 19,119 19,973 24,478 18,767 13,935 Total Europe
Moldova 1 1 1 1 1 1 0 0 0 0 0 0 Moldova 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Russia 108,143 109,224 108,110 120,439 121,644 115,562 0 0 0 12,297 12,420 7,452 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 108,144 109,225 108,111 120,440 121,645 115,563 0 0 0 12,297 12,420 7,452 Total EOCAC
Canada 99,569 94,455 93,946 103,717 100,117 100,117 2,682 2,525 2,612 6,830 8,187 8,783 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 139,741 144,640 143,529 147,988 151,442 153,962 285 302 320 8,531 7,104 10,752 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 239,311 239,094 237,475 251,705 251,559 254,079 2,967 2,826 2,931 15,361 15,291 19,535 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 11

TABLE 11
HARDWOOD SAWLOGS (total) GRUMES DE SCIAGES DES NON-CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 395 452 460 275 322 330 160 180 180 40 50 50 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 614 630 630 614 626 630 9 12 10 9 8 10 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 332 320 323 392 391 383 120 120 122 180 191 182 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 893 840 840 875 800 800 42 65 65 25 25 25 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 988 1,306 1,167 886 1,167 1,167 103 139 1 0 0 0 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 3,384 3,499 3,830 4,296 4,400 4,700 110 119 130 1,022 1,020 1,000 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,863 1,850 1,790 2,513 2,400 2,300 150 150 140 800 700 650 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 986 1,098 1,098 986 1,098 1,098 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Ireland 2 8 9 3 10 11 0 0 0 1 2 2 Irlande 3 3 2 2 5 2 2 2 2 2 2 2 2 3
Italy 560 560 560 560 560 560 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Latvia 1,674 1,725 1,725 1,903 2,000 2,000 35 25 25 265 300 300 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 174 193 191 18 37 35 171 171 171 15 15 15 Luxembourg 3 2 3 3 2 2 2 2 5 5 2 5 5 3
Montenegro 101 50 76 101 50 76 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Netherlands 87 115 115 60 80 80 82 90 90 55 55 55 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 73 73 73 73 73 73 0 0 0 0 0 0 Macédoine du Nord 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Poland 2,677 2,730 2,830 2,747 2,800 2,900 80 80 80 150 150 150 Pologne 3 3 3 3 2 2 2 5 5 5 5 5 5 3
Portugal 885 320 290 220 200 180 696 150 140 30 30 30 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 973 977 972 988 995 998 25 27 29 40 45 55 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 1,387 1,500 1,600 1,316 1,400 1,500 381 400 400 310 300 300 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 235 263 243 348 400 400 32 43 43 145 180 200 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 1,001 1,023 1,303 964 965 965 96 102 382 59 44 44 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 216 223 223 200 200 200 23 23 23 7 0 0 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 114 125 135 229 240 250 50 45 40 165 160 155 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 3,486 3,515 3,515 3,460 3,500 3,500 45 30 30 19 15 15 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 120 120 120 63 63 63 66 66 66 9 9 9 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 23,219 23,516 24,118 24,088 24,777 25,199 2,476 2,038 2,167 3,345 3,299 3,247 Total Europe
Moldova 30 30 30 30 30 30 0 0 0 0 0 0 Moldova 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Russia 12,486 13,182 14,227 14,886 15,630 16,724 0 0 0 2,400 2,448 2,497 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 12,516 13,212 14,257 14,916 15,660 16,754 0 0 0 2,400 2,448 2,497 Total EOCAC
Canada 13,545 12,981 12,948 12,581 11,867 11,867 1,018 1,190 1,154 54 76 73 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 30,257 37,792 38,330 32,250 39,903 40,567 154 159 165 2,147 2,271 2,402 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 43,802 50,773 51,278 44,831 51,771 52,435 1,172 1,349 1,318 2,201 2,347 2,475 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 11a

TABLE 11a
HARDWOOD LOGS (temperate) GRUMES DE NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 395 452 460 275 322 330 160 180 180 40 50 50 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 614 630 630 614 626 630 9 12 10 9 8 10 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 332 320 323 392 391 383 120 120 122 180 191 182 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 893 840 840 875 800 800 42 65 65 25 25 25 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 988 1,306 1,167 886 1,167 1,167 103 139 1 0 0 0 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 3,351 3,461 3,793 4,296 4,400 4,700 74 78 90 1,019 1,017 997 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 1,857 1,846 1,784 2,513 2,400 2,300 142 141 130 798 695 646 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 986 1,098 1,098 986 1,098 1,098 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 2 8 9 3 10 11 0 0 0 1 2 2 Irlande 3 3 2 2 5 2 2 2 2 2 2 2 2 3
Italy 560 560 560 560 560 560 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 2 2 2 2 2 2 3
Latvia 1,674 1,725 1,725 1,903 2,000 2,000 35 25 25 265 300 300 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 159 178 176 18 37 35 156 156 156 15 15 15 Luxembourg 3 2 3 3 2 2 2 2 3 3 2 3 3 3
Montenegro 101 50 76 101 50 76 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Netherlands 83 102 102 60 80 80 68 70 70 45 48 48 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 73 73 73 73 73 73 0 0 0 0 0 0 Macédoine du Nord 3 2 3 3 2 5 5 2 2 2 2 2 2 3
Poland 2,675 2,728 2,828 2,747 2,800 2,900 78 78 78 150 150 150 Pologne 3 3 3 3 2 2 2 3 3 3 3 3 3 3
Portugal 698 246 221 220 200 180 504 70 65 25 24 24 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 972 976 971 988 995 998 24 26 28 40 45 55 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 1,387 1,500 1,600 1,316 1,400 1,500 381 400 400 310 300 300 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 235 262 242 348 400 400 32 42 42 145 180 200 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 994 1,017 1,296 964 965 965 89 95 374 59 43 43 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 216 223 223 200 200 200 23 23 23 7 0 0 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 114 125 135 229 240 250 50 45 40 165 160 155 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 3,486 3,515 3,515 3,460 3,500 3,500 45 30 30 19 15 15 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 96 96 96 63 63 63 42 42 42 9 9 9 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 22,940 23,338 23,943 24,088 24,777 25,199 2,176 1,837 1,971 3,324 3,276 3,226 Total Europe
Moldova 30 30 30 30 30 30 0 0 0 0 0 0 Moldova 3 2 3 3 2 5 5 2 2 2 2 2 2 3
Russia 12,486 13,182 14,227 14,886 15,630 16,724 0 0 0 2,400 2,448 2,497 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 12,516 13,212 14,257 14,916 15,660 16,754 0 0 0 2,400 2,448 2,497 Total EOCAC
Canada 13,546 12,984 12,948 12,581 11,867 11,867 1,018 1,190 1,154 53 73 73 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 30,256 37,791 38,329 32,250 39,903 40,567 152 158 163 2,146 2,270 2,401 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 43,802 50,775 51,277 44,831 51,771 52,435 1,170 1,347 1,317 2,199 2,343 2,474 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 11b

TABLE 11b
HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Net Trade
Country Commerce Net Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
France -33 -38 -37 36 42 40 3 3 3 France 2 2 2 2 2 2 2 2 2 2 2
Germany -6 -4 -6 8 9 10 2 5 4 Allemagne 2 2 2 2 2 2 2 2 2 2 2
Luxembourg -15 -15 -15 15 15 15 0 0 0 Luxembourg 3 2 3 3 2 5 5 2 5 5 3
Netherlands -4 -13 -13 14 20 20 10 7 7 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2
Poland -1 -2 -2 2 2 2 0 0 0 Pologne 2 2 2 2 2 2 2 2 2 2 2
Portugal -187 -74 -69 192 80 75 5 6 6 Portugal 2 2 2 2 2 2 2 2 2 2 2
Serbia -1 -1 -1 1 1 1 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2
Slovenia -1 -1 -1 1 1 1 0 0 0 Slovénie 2 2 2 2 2 2 2 2 2 2 2
Spain -7 -6 -7 7 8 8 0 1 1 Espagne 2 2 2 2 2 2 2 2 2 2 2
United Kingdom -24 -24 -24 24 24 24 0 0 0 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2
Total Europe -279 -178 -175 300 201 196 20 23 21 Total Europe
Canada 1 3 0 0 0 0 1 3 0 Canada 2 2 2 2 2 2 2 2 2 2 2
United States -1 -1 -1 2 2 2 1 1 1 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2
Total North America 0 2 -1 2 2 2 2 4 1 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 12

TABLE 12
PULPWOOD (total) BOIS DE TRITURATION (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 15,114 15,232 15,570 10,110 10,642 10,980 5,798 5,730 5,630 794 1,140 1,040 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 928 911 927 881 874 891 99 87 87 51 50 51 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 8 9 9 8 8 8 1 1 1 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 6,297 6,778 6,889 10,087 9,823 9,900 482 558 576 4,272 3,603 3,587 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 4,050 3,280 3,280 6,316 5,850 5,850 459 270 270 2,724 2,840 2,840 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 53,097 56,668 56,727 43,221 46,410 47,366 11,047 11,200 10,303 1,171 942 942 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 23,342 23,959 24,580 22,195 22,900 23,300 3,083 3,093 3,280 1,936 2,034 2,000 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 27,601 26,250 27,690 29,618 30,900 31,300 3,352 2,650 3,140 5,368 7,300 6,750 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 1,766 1,936 1,936 1,707 1,843 1,843 134 223 223 75 130 130 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 1,961 1,869 1,974 2,082 2,044 2,177 129 200 203 249 375 406 Irlande 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Italy 5,567 5,567 5,567 4,518 4,518 4,518 1,154 1,154 1,154 105 105 105 Italie 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Latvia 4,140 3,650 3,650 6,387 6,050 6,050 2,019 1,800 1,800 4,266 4,200 4,200 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 695 757 751 625 687 681 189 189 189 119 119 119 Luxembourg 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Malta 2 2 2 0 0 0 2 2 2 0 0 0 Malte 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Montenegro 239 218 238 238 217 237 1 1 1 0 0 0 Monténégro 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Netherlands 1,145 1,120 1,120 1,355 1,380 1,390 734 730 730 944 990 1,000 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 29,967 30,985 31,835 28,035 29,200 29,800 4,609 4,460 4,410 2,677 2,675 2,375 Pologne 3 3 3 3 2 2 2 3 3 3 3 3 3 3
Portugal 13,533 13,750 13,782 11,462 11,900 11,870 2,363 2,280 2,382 292 430 470 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 909 947 976 892 931 958 21 20 22 4 4 4 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 3,472 3,800 4,000 4,119 4,200 4,350 1,006 1,000 1,050 1,654 1,400 1,400 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 834 910 880 1,877 1,870 1,920 494 700 570 1,536 1,660 1,610 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 11,099 11,684 12,052 12,663 13,217 13,651 557 582 603 2,121 2,116 2,202 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 59,772 59,734 59,784 52,100 53,300 53,300 8,194 7,127 7,127 522 693 643 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,692 1,713 1,738 1,254 1,280 1,310 631 623 613 193 190 185 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 13,596 14,027 14,027 13,397 13,600 13,600 202 455 455 3 28 28 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 5,136 5,482 5,482 4,670 4,974 4,974 578 578 578 112 71 71 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 285,963 291,237 295,466 269,817 278,619 282,225 47,336 45,712 45,399 31,190 33,094 32,158 Total Europe
Moldova 2 2 2 1 1 1 1 1 1 0 0 0 Moldova 3 2 3 3 2 3 3 2 3 3 2 3 3 3
Russia 58,244 60,273 64,791 73,232 75,562 76,307 104 104 104 15,092 15,393 11,620 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 58,246 60,275 64,793 73,233 75,563 76,308 105 105 105 15,092 15,393 11,620 Total EOCAC
Canada 34,428 30,819 31,865 31,073 27,434 27,434 4,000 3,969 4,975 645 584 545 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 228,406 228,659 234,933 233,223 234,181 234,974 190 206 201 5,007 5,728 243 Etats-Unis 3 2 3 3 2 2 2 2 3 3 2 3 3 3
Total North America 262,835 259,479 266,798 264,296 261,615 262,408 4,191 4,175 5,177 5,652 6,312 788 Total Amérique du Nord
Includes wood residues, chips and particles for all purposes Comprend les dechets de bois, plaquettes et particules pour toute utilisation
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 12a

TABLE 12a
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Softwood Conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 4,999 4,750 4,840 2,358 2,510 2,600 2,749 2,500 2,400 108 260 160 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 622 625 623 559 567 570 77 68 65 14 10 12 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 4,527 5,000 5,050 8,036 7,799 7,798 263 255 268 3,772 3,054 3,016 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 528 475 475 1,148 1,075 1,075 21 40 40 641 640 640 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 21,957 24,401 24,237 21,635 23,931 24,294 1,205 1,238 711 883 768 768 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 4,622 4,724 4,700 4,479 4,600 4,600 506 561 600 363 438 500 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 10,290 7,600 9,000 10,590 10,600 11,000 2,200 1,500 2,000 2,500 4,500 4,000 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 596 542 542 596 542 542 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Ireland 1,117 752 801 1,197 877 934 30 50 53 110 175 186 Irlande 3 3 2 2 5 2 2 2 2 2 2 2 2 3
Italy 853 853 853 853 853 853 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Latvia 1,814 1,750 1,750 2,241 2,100 2,100 306 350 350 733 700 700 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 40 32 32 40 32 32 0 0 0 0 0 0 Luxembourg 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Montenegro 17 9 23 17 9 23 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Netherlands 142 140 140 255 260 260 82 80 80 195 200 200 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 13,036 13,600 13,950 13,886 14,500 14,600 1,185 1,200 1,250 2,035 2,100 1,900 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 2,205 2,350 2,272 2,130 2,300 2,230 81 80 82 6 30 40 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 94 96 98 94 96 98 0 0 0 0 0 0 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 702 900 950 1,157 1,200 1,250 575 500 500 1,030 800 800 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 278 310 330 346 230 280 230 310 280 298 230 230 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 2,931 2,905 2,952 3,489 3,665 3,751 95 100 102 653 860 901 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 29,055 29,293 29,393 25,400 26,100 26,200 3,931 3,469 3,469 276 276 276 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 238 240 245 308 310 315 20 20 20 90 90 90 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 7,224 7,352 7,352 7,222 7,350 7,350 3 3 3 1 1 1 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 1,885 1,885 1,885 1,630 1,630 1,630 283 283 283 29 29 29 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 109,772 110,583 112,492 109,665 113,137 114,386 13,842 12,607 12,556 13,736 15,161 14,449 Total Europe
Russia 29,389 29,682 32,041 33,289 33,622 31,941 100 100 100 4,000 4,040 0 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 29,389 29,682 32,041 33,289 33,622 31,941 100 100 100 4,000 4,040 0 Total EOCAC
Canada 4,432 3,984 4,267 3,804 3,470 3,470 645 518 800 17 4 3 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 133,463 133,526 133,557 133,458 133,521 133,552 5 5 5 0 0 0 Etats-Unis 3 2 3 3 2 2 2 2 5 5 2 5 5 3
Total North America 137,895 137,511 137,825 137,262 136,992 137,023 650 523 805 17 4 3 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 12b

TABLE 12b
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Hardwood Non-conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 1,210 1,382 1,380 600 682 680 680 780 780 70 80 80 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 61 62 64 55 57 56 13 10 12 7 5 4 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 276 293 306 323 334 352 17 18 18 64 59 64 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 507 205 205 1,168 1,075 1,075 172 130 130 833 1,000 1,000 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 11,986 11,834 11,801 7,416 7,158 7,542 4,637 4,709 4,292 67 32 32 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 2,509 2,546 2,480 3,314 3,300 3,200 67 66 80 872 820 800 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 2,663 2,650 2,690 2,913 2,800 2,800 150 150 140 400 300 250 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 306 377 377 306 377 377 0 0 0 0 0 0 Hongrie 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Italy 166 166 166 166 166 166 0 0 0 0 0 0 Italie 3 2 3 3 2 5 5 ... ... ... ... ... ... 3
Latvia 600 400 400 1,882 1,750 1,750 461 350 350 1,743 1,700 1,700 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 64 134 128 64 134 128 0 0 0 0 0 0 Luxembourg 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Montenegro 26 13 19 26 13 19 0 0 0 0 0 0 Monténégro 2 2 2 2 2 2 2 ... ... ... ... ... ... 2
Netherlands 65 50 50 147 160 160 21 20 20 103 130 130 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 4,953 5,385 5,785 4,468 4,900 5,300 560 560 560 75 75 75 Pologne 3 3 3 3 2 2 2 5 5 5 5 5 5 3
Portugal 8,585 8,300 8,350 7,410 7,600 7,620 1,353 1,000 1,050 178 300 320 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 293 299 309 294 300 310 0 0 0 1 1 1 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 1,788 1,900 2,000 1,828 1,850 1,900 70 150 200 110 100 100 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 146 140 100 450 490 440 88 130 90 392 480 430 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 5,267 5,658 5,658 5,942 6,074 6,150 285 291 295 960 707 787 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 8,641 8,441 8,541 6,100 6,200 6,300 2,558 2,258 2,258 17 17 17 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 137 143 148 174 180 185 3 3 3 40 40 40 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 5,225 5,300 5,300 5,225 5,300 5,300 2 2 2 2 2 2 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 17 17 17 2 2 2 16 16 16 0 0 0 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 55,490 55,695 56,274 50,273 50,901 51,811 11,152 10,643 10,295 5,935 5,849 5,832 Total Europe
Russia 8,465 9,105 10,109 15,665 16,449 17,600 0 0 0 7,200 7,344 7,491 Russie 3 3 2 2 3 2 2 2 2 2 2 2 2 3
Total EECCA 8,465 9,105 10,109 15,665 16,449 17,600 0 0 0 7,200 7,344 7,491 Total EOCAC
Canada 8,112 7,871 7,870 8,474 8,073 8,073 31 28 19 393 231 223 Canada 3 3 2 2 3 2 2 2 2 2 2 2 2 3
United States 42,217 42,237 42,247 42,264 42,284 42,294 42 42 42 89 89 89 Etats-Unis 3 2 3 3 2 2 2 2 5 5 2 5 5 3
Total North America 50,329 50,108 50,117 50,738 50,358 50,368 73 70 61 482 320 312 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 12c

TABLE 12c
WOOD RESIDUES, CHIPS AND PARTICLES DECHETS DE BOIS, PLAQUETTES ET PARTICULES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 8,904 9,100 9,350 7,152 7,450 7,700 2,369 2,450 2,450 616 800 800 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 245 224 240 267 250 265 9 9 10 30 35 35 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 8 9 9 8 8 8 1 1 1 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 1,494 1,485 1,533 1,728 1,690 1,750 202 285 290 436 490 507 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 3,015 2,600 2,600 4,000 3,700 3,700 266 100 100 1,251 1,200 1,200 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 19,154 20,432 20,689 14,170 15,321 15,530 5,205 5,254 5,301 221 142 142 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 16,211 16,690 17,400 14,402 15,000 15,500 2,510 2,465 2,600 701 776 700 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 14,649 16,000 16,000 16,115 17,500 17,500 1,002 1,000 1,000 2,468 2,500 2,500 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 864 1,017 1,017 805 924 924 134 223 223 75 130 130 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 844 1,117 1,173 885 1,167 1,243 99 150 150 139 200 220 Irlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Italy 4,549 4,549 4,549 3,500 3,500 3,500 1,154 1,154 1,154 105 105 105 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 1,726 1,500 1,500 2,264 2,200 2,200 1,252 1,100 1,100 1,790 1,800 1,800 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 591 591 591 521 521 521 189 189 189 119 119 119 Luxembourg 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Malta 2 2 2 0 0 0 2 2 2 0 0 0 Malte 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Montenegro 196 196 196 195 195 195 1 1 1 0 0 0 Monténégro 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Netherlands 938 930 930 953 960 970 631 630 630 646 660 670 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Poland 11,977 12,000 12,100 9,680 9,800 9,900 2,864 2,700 2,600 567 500 400 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 2,742 3,100 3,160 1,921 2,000 2,020 929 1,200 1,250 108 100 110 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 522 552 569 504 535 550 21 20 22 3 3 3 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 982 1,000 1,050 1,135 1,150 1,200 361 350 350 514 500 500 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 409 460 450 1,080 1,150 1,200 176 260 200 847 950 950 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 2,902 3,120 3,442 3,233 3,478 3,750 178 191 206 508 548 514 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 22,076 22,000 21,850 20,600 21,000 20,800 1,705 1,400 1,400 229 400 350 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 1,317 1,330 1,345 772 790 810 608 600 590 63 60 55 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 1,147 1,375 1,375 950 950 950 197 450 450 0 25 25 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 3,234 3,580 3,580 3,038 3,342 3,342 279 279 279 83 41 41 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 120,700 124,959 126,700 109,879 114,581 116,029 22,341 22,462 22,548 11,520 12,084 11,876 Total Europe
Moldova 2 2 2 1 1 1 1 1 1 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 20,390 21,487 22,641 24,278 25,492 26,766 4 4 4 3,892 4,009 4,129 Russie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total EECCA 20,392 21,489 22,643 24,279 25,493 26,767 5 5 5 3,892 4,009 4,129 Total EOCAC
Canada 21,885 18,964 19,728 18,795 15,890 15,890 3,324 3,423 4,156 235 349 318 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 52,726 52,896 59,128 57,501 58,376 59,128 143 159 154 4,918 5,639 154 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 74,611 71,860 78,856 76,296 74,266 75,018 3,467 3,581 4,310 5,153 5,988 472 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 13

TABLE 13
WOOD PELLETS GRANULES DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022 Country Consumption Production Imports Exports Country
Austria 1,074 1,135 1,250 1,540 1,650 1,800 384 425 390 849 940 940 Autriche 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Bosnia-Herzegovina 90 94 94 150 162 165 1 2 3 61 70 74 Bosnie-Herzegovine 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Cyprus 4 4 4 0 0 0 4 4 4 0 0 0 Chypre 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Czech Republic 180 182 198 477 490 502 32 34 35 329 342 339 République tchèque 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Estonia 572 115 115 1,630 1,400 1,400 12 15 15 1,070 1,300 1,300 Estonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Finland 427 395 420 322 345 365 112 90 90 7 40 35 Finlande 2 2 2 2 2 2 2 2 2 2 2 2 2 2
France 2,075 2,101 2,200 1,760 1,800 1,850 412 410 450 97 109 100 France 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Germany 2,590 2,880 3,225 3,100 3,300 3,600 291 325 350 801 745 725 Allemagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Hungary 77 79 79 16 19 19 84 82 82 23 22 22 Hongrie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Ireland 45 65 65 38 55 55 38 45 45 30 35 35 Irlande 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Italy 2,194 2,194 2,194 400 400 400 1,802 1,802 1,802 7 7 7 Italie 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Latvia 325 300 300 2,264 2,200 2,200 425 400 400 2,364 2,300 2,300 Lettonie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Luxembourg 47 47 47 63 63 63 11 11 11 27 27 27 Luxembourg 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Malta 1 0 0 0 0 0 1 0 0 0 0 0 Malte 3 3 2 2 5 2 2 5 2 2 5 2 2 3
Montenegro 53 47 47 89 82 82 1 1 1 37 37 37 Monténégro 3 3 3 3 2 5 5 5 5 5 5 5 5 3
Netherlands 2,442 2,609 3,180 300 300 300 2,297 2,429 3,000 155 120 120 Pays-Bas 2 2 2 2 2 2 2 2 2 2 2 2 2 2
North Macedonia 91 91 91 0 0 0 91 91 91 0 0 0 Macédoine du Nord 3 3 3 3 5 5 5 2 5 5 2 5 5 3
Poland 818 880 900 1,353 1,450 1,500 176 180 200 711 750 800 Pologne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Portugal 255 204 245 859 900 950 2 4 5 606 700 710 Portugal 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Serbia 406 445 450 445 455 460 40 45 50 79 55 60 Serbie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovakia 20 20 20 206 200 200 43 45 45 229 225 225 Slovaquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Slovenia 206 165 175 148 160 165 257 215 230 198 210 220 Slovénie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Spain 507 696 798 531 745 863 65 76 80 89 125 145 Espagne 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Sweden 1,642 1,940 1,940 1,660 2,000 2,000 119 140 140 138 200 200 Suède 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Switzerland 347 350 355 270 275 285 78 75 70 0 0 0 Suisse 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Turkey 6 6 6 20 20 20 0 0 0 14 14 14 Turquie 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United Kingdom 9,345 9,345 9,345 271 271 271 9,078 9,078 9,078 4 4 4 Royaume-Uni 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total Europe 25,840 26,388 27,743 17,912 18,743 19,516 15,854 16,023 16,666 7,925 8,378 8,439 Total Europe
Moldova 32 32 32 31 31 31 2 2 2 0 0 0 Moldova 3 2 3 3 2 5 5 2 5 5 2 5 5 3
Russia 509 470 540 2,800 3,220 3,703 2 2 2 2,294 2,752 3,165 Russie 3 3 2 2 2 2 2 5 2 2 2 2 2 3
Total EECCA 541 502 573 2,831 3,251 3,734 4 4 4 2,294 2,752 3,165 Total EOCAC
Canada 960 795 536 3,830 4,131 4,131 31 46 54 2,901 3,381 3,649 Canada 2 2 2 2 2 2 2 2 2 2 2 2 2 2
United States 1,360 1,503 1,572 8,412 8,855 9,210 205 227 236 7,257 7,578 7,874 Etats-Unis 2 2 2 2 2 2 2 2 2 2 2 2 2 2
Total North America 2,321 2,299 2,108 12,242 12,985 13,341 236 272 290 10,158 10,958 11,523 Total Amérique du Nord
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 14

TABLE 14
Europe: Summary table of market forecasts for 2021 and 2022
Europe: Tableau récapitulatif des prévisions du marché pour 2021 et 2022
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 82.76 89.42 90.28 102.87 107.84 109.03 32.51 35.40 34.94 52.63 53.82 53.68 Sciages conifères
Softwood logs a 194.72 200.32 200.51 199.16 199.97 194.47 20.04 19.12 19.97 24.48 18.77 13.94 Grumes de conifères a
Sawn hardwood 10.78 11.34 11.61 10.72 11.25 11.40 4.01 4.25 4.34 3.95 4.17 4.12 Sciages non-conifères
– temperate zone b 10.05 10.62 10.88 10.65 11.19 11.34 3.24 3.49 3.56 3.84 4.06 4.01 – zone tempérée b
– tropical zone b 0.72 0.72 0.73 0.07 0.06 0.06 0.77 0.77 0.78 0.11 0.11 0.11 – zone tropicale b
Hardwood logs a 23.22 23.52 24.12 24.09 24.78 25.20 2.48 2.04 2.17 3.34 3.30 3.25 Grumes de non-conifères a
– temperate zone b 22.94 23.34 23.94 24.09 24.78 25.20 2.18 1.84 1.97 3.32 3.28 3.23 – zone tempérée b
– tropical zone b 0.28 0.18 0.17 0.30 0.20 0.20 0.02 0.02 0.02 – zone tropicale b
Veneer sheets 1.44 1.51 1.53 1.03 1.13 1.13 1.18 1.23 1.26 0.77 0.85 0.86 Feuilles de placage
Plywood 7.44 7.27 7.51 4.39 4.61 4.63 6.77 6.68 6.90 3.72 4.02 4.03 Contreplaqués
Particle board (excluding OSB) 28.83 29.99 30.57 30.22 31.31 31.80 9.16 9.50 9.84 10.55 10.83 11.07 Pann. de particules (sauf OSB)
OSB 5.66 5.74 5.81 5.85 5.69 5.80 3.26 3.29 3.34 3.45 3.24 3.33 OSB
Fibreboard 20.47 20.83 21.46 22.07 22.67 23.15 9.24 9.65 9.86 10.84 11.49 11.55 Panneaux de fibres
– Hardboard 0.52 0.66 0.74 0.38 0.42 0.43 1.38 1.42 1.45 1.25 1.19 1.14 – Durs
– MDF 16.80 17.00 17.48 18.52 19.04 19.43 5.86 6.14 6.25 7.58 8.18 8.20 – MDF
– Other board 3.15 3.17 3.24 3.16 3.22 3.29 2.00 2.08 2.15 2.01 2.13 2.21 – Autres panneaux
Pulpwood a 285.96 291.24 295.47 269.82 278.62 282.23 47.34 45.71 45.40 31.19 33.09 32.16 Bois de trituration a
– Pulp logs 165.26 166.28 168.77 159.94 164.04 166.20 24.99 23.25 22.85 19.67 21.01 20.28 – Bois ronds de trituration
– softwood 109.77 110.58 112.49 109.67 113.14 114.39 13.84 12.61 12.56 13.74 15.16 14.45 – conifères
– hardwood 55.49 55.69 56.27 50.27 50.90 51.81 11.15 10.64 10.30 5.93 5.85 5.83 – non-conifères
– Residues, chips and particles 120.70 124.96 126.70 109.88 114.58 116.03 22.34 22.46 22.55 11.52 12.08 11.88 – Déchets, plaquettes et part.
Wood pulp 40.30 40.64 40.12 36.93 37.91 37.93 17.92 17.74 17.65 14.55 15.02 15.46 Pâte de bois
Paper and paperboard 76.36 76.97 77.32 86.91 89.94 90.19 44.50 44.66 44.77 55.05 57.63 57.65 Papiers et cartons
Wood Pellets 25.84 26.39 27.74 17.91 18.74 19.52 15.85 16.02 16.67 7.93 8.38 8.44 Granulés de bois
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce
b Trade figures by zone do not equal the total as some countries cannot provide data for both zones b Les chiffres du commerce par zone ne correspondent pas aux totaux
en raison du fait que certains pays ne peuvent les différencier.
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 15

TABLE 15
North America: Summary table of market forecasts for 2021 and 2022
Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2021 et 2022
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 99.90 108.23 111.04 101.84 106.68 109.76 26.26 26.68 26.58 28.20 25.13 25.30 Sciages conifères
Softwood logs 239.31 239.09 237.48 251.70 251.56 254.08 2.97 2.83 2.93 15.36 15.29 19.53 Grumes de conifères
Sawn hardwood 15.07 15.55 15.76 17.68 17.82 17.86 1.38 1.55 1.65 4.00 3.81 3.76 Sciages non-conifères
– temperate zone 14.93 15.43 15.63 17.68 17.82 17.86 1.20 1.37 1.47 3.95 3.76 3.70 – zone tempérée
– tropical zone 0.13 0.13 0.13 0.00 0.00 0.00 0.19 0.18 0.19 0.05 0.05 0.06 – zone tropicale
Hardwood logs 43.80 50.77 51.28 44.83 51.77 52.43 1.17 1.35 1.32 2.20 2.35 2.47 Grumes de non-conifères
– temperate zone 43.80 50.78 51.28 44.83 51.77 52.43 1.17 1.35 1.32 2.20 2.34 2.47 – zone tempérée
– tropical zone -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale
Veneer sheets 2.85 2.90 2.96 2.87 2.93 3.01 0.74 0.82 0.84 0.76 0.86 0.88 Feuilles de placage
Plywood 16.41 17.41 17.77 11.17 11.75 12.00 6.31 6.80 6.92 1.07 1.13 1.14 Contreplaqués
Particle board (excluding OSB) 7.25 6.77 6.74 6.41 6.26 6.30 1.95 1.94 1.98 1.12 1.43 1.54 Pann. de particules (sauf OSB)
OSB 20.08 20.76 21.06 20.34 21.24 21.57 5.19 5.58 5.68 5.45 6.07 6.18 OSB
Fibreboard 9.46 9.82 9.83 7.35 7.40 7.40 3.64 3.94 3.95 1.52 1.52 1.52 Panneaux de fibres
– Hardboard 0.27 0.29 0.29 0.30 0.30 0.30 0.30 0.33 0.33 0.33 0.34 0.35 – Durs
– MDF 5.88 6.16 6.18 3.77 3.82 3.82 3.02 3.25 3.25 0.91 0.90 0.89 – MDF
– Other board 3.31 3.36 3.36 3.28 3.28 3.28 0.31 0.36 0.37 0.28 0.28 0.29 – Autres panneaux
Pulpwood 262.83 259.48 266.80 264.30 261.62 262.41 4.19 4.17 5.18 5.65 6.31 0.79 Bois de trituration
– Pulp logs 188.22 187.62 187.94 188.00 187.35 187.39 0.72 0.59 0.87 0.50 0.32 0.32 – Bois ronds de trituration
– softwood 137.89 137.51 137.82 137.26 136.99 137.02 0.65 0.52 0.81 0.02 0.00 0.00 – conifères
– hardwood 50.33 50.11 50.12 50.74 50.36 50.37 0.07 0.07 0.06 0.48 0.32 0.31 – non-conifères
– Residues, chips and particles 74.61 71.86 78.86 76.30 74.27 75.02 3.47 3.58 4.31 5.15 5.99 0.47 – Déchets, plaquettes et part.
Wood pulp 54.46 55.16 55.31 64.98 65.09 64.61 6.30 6.77 7.22 16.82 16.71 16.52 Pâte de bois
Paper and paperboard 68.29 70.84 71.97 74.59 77.14 78.53 10.00 10.31 10.28 16.31 16.60 16.84 Papiers et cartons
Wood pellets 2.32 2.30 2.11 12.24 12.99 13.34 0.24 0.27 0.29 10.16 10.96 11.52 Granulés de bois
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 16

TABLE 16
Russian Federation: Summary table of market forecasts for 2021 and 2022
Fédération de Russie: Tableau récapitulatif des prévisions du marché pour 2021 et 2022
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 9.13 10.15 11.25 38.92 40.09 42.09 0.04 0.04 0.04 29.83 29.98 30.88 Sciages conifères
Softwood logs 108.14 109.22 108.11 120.44 121.64 115.56 0.00 0.00 0.00 12.30 12.42 7.45 Grumes de conifères
Sawn hardwood 1.34 1.38 1.48 2.88 2.97 3.14 0.01 0.01 0.01 1.54 1.59 1.67 Sciages non-conifères
– temperate zone 1.34 1.38 1.47 2.88 2.97 3.14 0.00 0.00 0.00 1.54 1.59 1.67 – zone tempérée
– tropical zone 0.01 0.01 0.01 0.00 0.00 0.00 0.01 0.01 0.01 0.00 0.00 0.00 – zone tropicale
Hardwood logs 12.49 13.18 14.23 14.89 15.63 16.72 0.00 0.00 0.00 2.40 2.45 2.50 Grumes de non-conifères
– temperate zone 12.49 13.18 14.23 14.89 15.63 16.72 0.00 0.00 0.00 2.40 2.45 2.50 – zone tempérée
– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale
Veneer sheets 1.10 1.44 1.69 1.57 1.96 2.26 0.01 0.01 0.01 0.49 0.54 0.58 Feuilles de placage
Plywood 1.22 1.44 1.51 4.00 4.60 4.83 0.12 0.13 0.13 2.90 3.28 3.45 Contreplaqués
Particle board (excluding OSB) 5.29 6.12 6.50 6.73 7.15 7.53 0.30 0.67 0.79 1.74 1.69 1.83 Pann. de particules (sauf OSB)
OSB 1.61 1.08 1.26 1.63 1.63 1.95 0.35 0.18 0.14 0.36 0.72 0.83 OSB
Fibreboard 2.80 3.42 3.67 3.58 4.30 4.63 0.46 0.59 0.64 1.24 1.48 1.60 Panneaux de fibres
– Hardboard 0.32 0.39 0.35 0.37 0.45 0.40 0.10 0.10 0.10 0.15 0.16 0.15 – Durs
– MDF 2.45 2.99 3.29 3.20 3.84 4.22 0.33 0.46 0.51 1.08 1.31 1.44 – MDF
– Other board 0.03 0.03 0.03 0.01 0.01 0.01 0.03 0.03 0.03 0.01 0.01 0.01 – Autres panneaux
Pulpwood 58.24 60.27 64.79 73.23 75.56 76.31 0.10 0.10 0.10 15.09 15.39 11.62 Bois de trituration
– Pulp logs 37.85 38.79 42.15 48.95 50.07 49.54 0.10 0.10 0.10 11.20 11.38 7.49 – Bois ronds de trituration
– softwood 29.39 29.68 32.04 33.29 33.62 31.94 0.10 0.10 0.10 4.00 4.04 0.00 – conifères
– hardwood 8.47 9.10 10.11 15.67 16.45 17.60 0.00 0.00 0.00 7.20 7.34 7.49 – non-conifères
– Residues, chips and particles 20.39 21.49 22.64 24.28 25.49 26.77 0.00 0.00 0.00 3.89 4.01 4.13 – Déchets, plaquettes et part.
Wood pulp 6.53 6.55 6.68 8.77 8.85 9.03 0.21 0.21 0.22 2.44 2.52 2.57 Pâte de bois
Paper and paperboard 7.12 7.62 7.95 9.53 10.19 10.70 1.19 1.17 1.14 3.60 3.75 3.90 Papiers et cartons
Wood pellets 0.51 0.47 0.54 2.80 3.22 3.70 0.00 0.00 0.00 2.29 2.75 3.17 Granulés de bois
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 17

TABLE 17
Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (averages) and 2016 to 2020
Europe: Commerce des produits forestiers, par principaux groupes d'assortiments, en 1979-81 et 1999-2001 (moyennes) et de 2016 à 2020
Quantity - Volume
Unit average Change - Changement
Unité moyenne 2016 2017 2018 2019 2020 2019/2020
1979-81 1999-2001 Volume Percent
EXPORTS EXPORTATIONS
Roundwood a million m3 22.22 48.68 61.29 63.02 70.01 78.70 82.01 3.31 4.2% Bois ronds a
Sawnwood " 24.77 45.99 55.71 58.51 59.86 62.83 56.58 -6.25 -9.9% Sciages
Wood-based panels b " 8.07 21.42 33.67 35.66 35.43 35.67 28.55 -7.12 -20.0% Panneaux à base de bois b
Wood pulp million m.t. 7.31 10.08 14.31 14.81 15.19 16.26 14.55 -1.71 -10.5% Pâte de bois
Paper and paperboard " 18.39 54.06 65.56 66.20 66.45 65.12 55.05 -10.07 -15.5% Papiers et cartons
IMPORTS IMPORTATIONS
Roundwood a million m3 38.83 74.99 85.69 79.61 90.25 89.33 86.83 -2.50 -2.8% Bois ronds a
Sawnwood " 34.26 46.39 40.93 43.88 46.19 47.38 36.52 -10.86 -22.9% Sciages
Wood-based panels b " 10.30 21.38 33.04 35.75 37.21 36.72 28.43 -8.29 -22.6% Panneaux à base de bois b
Wood pulp million m.t. 11.36 17.26 20.73 20.86 21.51 20.02 17.92 -2.10 -10.5% Pâte de bois
Paper and paperboard " 16.78 48.69 56.27 57.08 57.24 55.14 44.50 -10.64 -19.3% Papiers et cartons
NET TRADE c COMMERCE NET c
Roundwood a million m3 -16.61 -26.31 -24.40 -16.59 -20.24 -10.63 -4.82 5.81 54.6% Bois ronds a
Sawnwood " -9.49 -0.40 14.78 14.62 13.68 15.45 20.06 4.61 29.8% Sciages
Wood-based panels b " -2.23 0.04 0.63 -0.10 -1.79 -1.05 0.12 1.17 NA Panneaux à base de bois b
Wood pulp million m.t. -4.05 -7.18 -6.42 -6.05 -6.31 -3.76 -3.37 0.39 10.3% Pâte de bois
Paper and paperboard " 1.61 5.37 9.29 9.12 9.21 9.98 10.55 0.57 5.7% Papiers et cartons
a Including available data on wood residues, chips and particles a Y compris les données disponibles pour les déchets, les plaquettes et les particules
b Not including veneer sheets b Ne sot pas compris les feuilles de placage
c Exports minus imports c Exportations moins importations
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 18

TABLE 18
Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022
Europe: Consommation apparente de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022
Unit Unité Actual - Réelle Forecasts a
Prévisions a
average
moyenne 2016 2017 2018 2019 2020 2021 2022
1979-81 1999-2001
Sawnwood b million m3 100.66 108.12 107.55 110.81 113.12 110.61 93.53 100.75 101.89 Sciages b
– Softwood " 78.36 89.22 94.52 97.49 99.05 96.33 82.76 89.42 90.28 – Conifères
– Hardwood " 22.30 18.90 13.03 13.32 14.07 14.27 10.78 11.34 11.61 – Non-conifères
Wood-based panels c " 33.70 54.21 71.70 74.21 75.86 74.96 62.39 63.82 65.34 Panneaux à base de bois c
– Plywood " 5.44 6.66 8.43 8.89 9.48 8.91 7.44 7.27 7.51 – Contreplaqués
– Particle board d " 23.82 34.50 36.11 36.97 36.61 36.39 28.83 29.99 30.57 – Panneaux de particules d
– OSB 1.72 6.18 6.63 6.89 6.74 5.66 5.74 5.81 – OSB
– Fibreboard " 4.44 11.00 20.99 21.72 22.88 22.92 20.47 20.83 21.46 – Panneaux de fibres
Paper and paperboard million m.t. 49.17 88.67 88.40 89.94 89.53 86.18 76.36 76.97 77.32 Papiers et cartons
– Newsprint " 6.45 12.04 6.61 6.03 5.76 5.26 4.10 – Papiers journal
– Other paper & paperbrd. " 42.71 76.63 81.79 83.91 83.77 80.92 72.26 – Autres papiers/cartons
Index - Indice 1979-81 = 100
Sawnwood b 100.0 107.4 106.8 110.1 112.4 109.9 92.9 100.1 101.2 Sciages b
– Softwood 100.0 113.9 120.6 124.4 126.4 122.9 105.6 114.1 115.2 – Conifères
– Hardwood 100.0 84.7 58.4 59.7 63.1 64.0 48.3 50.8 52.1 – Non-conifères
Wood-based panels c 100.0 160.9 212.8 220.2 225.1 222.4 185.1 189.4 193.9 Panneaux à base de bois c
– Plywood 100.0 122.5 154.9 163.4 174.2 163.8 136.7 133.6 138.0 – Contreplaqués
– Particle board 100.0 144.8 151.6 155.2 153.7 152.8 121.0 125.9 128.3 – Panneaux de particules
– OSB 100.0 359.2 385.7 400.4 391.9 329.0 333.6 337.7 – OSB
– Fibreboard 100.0 247.9 472.8 489.2 515.3 516.1 461.0 469.1 483.3 – Panneaux de fibres
Paper and paperboard 100.0 180.3 179.8 182.9 182.1 175.3 155.3 156.5 157.2 Papiers et cartons
– Newsprint 100.0 186.6 102.5 93.4 89.2 81.6 63.5 – Papiers journal
– Other paper & paperbrd. 100.0 179.4 191.5 196.5 196.1 189.5 169.2 – Autres papiers/cartons
a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020)
comparable with earlier data as the methodology is different. et les donnes anterieures n'est pas possible à cause de différences des méthodes de calcul.
b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016
c Not including veneer sheets c Ne sont pas compris les feuilles de placage
d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Table 19

TABLE 19
United States: Apparent consumption and imports of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022
Etats-Unis: Consommation apparente et importations de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022
Unit Unité Actual - Réelle Forecasts a
Prévisions a
average
moyenne 2016 2017 2018 2019 2020 2021 2022
1979-81 1999-2001
Apparent Consumption – Consommation apparente
Sawnwood b million m3 95.82 119.44 99.75 100.40 101.08 101.75 99.92 102.05 103.10 Sciages b
– Softwood " 79.14 91.63 80.22 81.41 81.94 82.26 86.12 87.85 88.69 – Conifères
– Hardwood " 16.67 27.81 19.53 18.99 19.14 19.49 13.81 14.20 14.41 – Non-conifères
Wood-based panels c " 29.25 54.68 47.17 48.78 47.93 46.78 46.09 47.63 48.43 Panneaux à base de bois c
– Plywood " 6.09 18.74 15.42 15.60 14.87 14.03 14.03 14.64 14.94 – Contreplaqués
– Particle board d " 17.11 10.15 5.04 5.09 5.18 5.40 5.24 5.41 5.52 – Panneaux de particules d
– OSB 17.75 17.08 18.33 18.86 18.67 18.58 19.35 19.72 – OSB
– Fibreboard " 6.05 8.05 9.63 9.75 9.01 8.69 8.24 8.24 8.24 – Panneaux de fibres
Paper and paperboard million m.t. 61.86 92.52 70.10 69.61 68.82 66.31 63.57 66.13 67.40 Papiers et cartons
– Newsprint " 10.56 12.20 3.03 2.62 2.29 1.91 1.42 – Papiers journal
– Other paper & paperbrd. " 51.30 80.33 67.07 66.99 66.53 64.41 62.15 – Autres papiers/cartons
Imports – Importations
Sawnwood b million m3 23.87 34.46 28.33 27.42 26.44 25.30 26.26 26.70 26.57 Sciages b
– Softwood " 23.10 32.93 27.37 26.70 25.49 24.53 25.63 26.03 25.88 – Conifères
– Hardwood " 0.77 1.53 0.96 0.72 0.95 0.77 0.63 0.67 0.69 – Non-conifères
Wood-based panels c " 2.11 12.82 13.23 14.50 15.67 14.34 14.46 14.97 15.13 Panneaux à base de bois c
– Plywood " 0.50 2.63 4.88 4.93 5.47 4.66 5.06 5.30 5.33 – Contreplaqués
– Particle board " 1.33 1.44 1.25 1.24 1.33 1.43 1.46 1.33 1.36 – Panneaux de particules
– OSB 6.81 5.07 5.57 5.67 5.42 5.07 5.46 5.56 – OSB
– Fibreboard " 0.28 1.94 2.03 2.76 3.21 2.83 2.88 2.88 2.88 – Panneaux de fibres
Paper and paperboard million m.t. 7.78 15.84 9.26 9.17 9.46 8.72 7.64 7.83 7.87 Papiers et cartons
– Newsprint " 6.49 6.61 1.84 1.72 1.53 1.28 1.05 – Papiers journal
– Other paper & paperbrd. " 1.29 9.24 7.42 7.45 7.94 7.45 6.60 – Autres papiers/cartons
a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020)
comparable with earlier data as the methodology is different. et les donnes anterieures s n'est pas possible à cause de différences des méthodes de calcul.
b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016
c Not including veneer sheets c Ne sont pas compris les feuilles de placage
d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB
C:\MyFiles\Timber\Timber Committee\TCQ2021\publish\[tb-74-6.xls]Table 1 printed on 17/12

Germany: country market statement 2021

This forest sector market statement from Germany covers developments in 2020-2021.  It highlights general economic trends, policies affecting the forest including;

Languages and translations
English

MARKET STATEMENT

submitted by the

Delegation of Germany

to

"Foresta2021"

the joint 79th session of the ECE Committee on Forests and the Forest Industry and

the 41st session of the FAO European Forestry Commission

22 to 25 November 2021

in Rome

Federal Ministry of Food and Agriculture

Bonn, 2021

1

1. General economic trends

1.1. German government interim projection forecasts recovery after historic slump1

In its spring projection the German government expects gross domestic product to increase by

3.5% (price-adjusted) in 2021. For 2022, further growth of 3.6% is expected as part of the

catch-up process (Table 1). The German government's projection is based on the assumption

that the far-reaching measures restricting social contact in public spaces to protect health and

life can be gradually relaxed in the course of the second quarter of 2021. Thereafter, a signifi-

cant recovery in the domestic economy and private consumer spending is expected. Also -

despite the ongoing infection - the industrial economy and the foreign trade in particular pre-

sent themselves as important drivers in the current year.

Table 1: Key figures of the 2021 spring projection

Gross domestic product by expenditure (price adjusted) 2020 2021 2022

Year-on-year change (in per cent)

Gross domestic product1) -4.9 3.5 3.6

Private consumption2) -6.1 0.8 5.5

Public-sector consumption 3.3 5.2 0.3

Gross fixed capital formation -3.1 3.5 3.6

- of which equipment -12.1 7.5 5.5 - of which buildings 1.9 1.4 2.8

- of which other investment -1.1 3.3 3.0

Changes in inventories and net acquisition of valuables (con- tribution to GDP growth)

-0.8 0.0 0.0

Domestic demand -4.2 2.5 3.8

Exports -9.4 9.2 4.5

Imports -8.5 7.8 5.0

Net foreign demand (contribution to GDP growth)3) -0.9 1.1 0.1

Private consumption2) 0.7 2.2 1.5

Gainfully active persons (domestic) 44.8 44.7 45.0

Unemployed persons (Federal Employment Agency) 2.7 2.6 2.4

1) In 2020, calendar-adjusted growth is -5.3% and the annualized rate is -3.6%; 2) Including non-profit-making organisations;

1 https://www.bmwi.de/Redaktion/DE/Pressemitteilungen/2021/04/20210427-Altmaier-Rechnen-mit- Wirtschaftswachstum-von-3,5%25-2021-und-3,6%25-2022.html

2

3) Absolute change in net foreign demand in per cent of pre-year GDP (= contribution to change in GDP).

Average annual increases are expected in all expenditure components of gross domestic prod-

uct. Due to the positive development of the sales markets, German exports will also grow by a

substantial 9.2% in 2021 (2022: +4.5%). However, the still subdued domestic demand, partic-

ularly in the first half of the year, is having an impact on imports. Compared with exports,

these will rise by a somewhat lower 7.8% in 2021 and 5.0% in 2022. As a result, the German

current account surplus as a percentage of nominal GDP is expected to increase slightly in

2021 and then decline again in 2022.

Investment in equipment is closely linked to the capital-intensive export industry. The revival

in foreign trade and the still very robust industrial economy should lead to a significant in-

crease in equipment investment of 7.5% in 2021. Catch-up effects will also play a role, as

investments were postponed due to the crisis.

Due to the low interest rate environment and high demand for housing, construction invest-

ment will continue to rise. However, the construction sector had a weak start to the year due

to poor weather conditions, which is dampening the annual growth rate. Construction invest-

ment is expected to increase by 1.4% in 2021. In 2022, investment in buildings will pick up

further and expand by 2.8%. The main drivers of the further recovery are residential construc-

tion due to favorable financing conditions and the continuing high demand for housing.

Government consumption spending will continue to support demand in 2021 (2021: +5.2%,

2022: +0.3%). Government investment spending will also increase strongly again in the cur-

rent year and then decline again in 2022 (2021: +6.0%, 2022: -2.1%).

The labor market was clearly impacted by the crisis last year, but proved very robust in view

of the sharp drop in economic output. After a subdued development in the first quarter, more

significant increases in employment and especially in mini-jobbers (partly due to the reopen-

ing of the catering sector) are expected from the second quarter onwards. Overall, there will

be a slight decline in employment of 60,000 persons on average in 2021. In the coming year,

employment is expected to increase by 290,000 persons.

3

1.2 The economic situation in Germany in September 20212

Germany’s industrial sector was able to increase its production further at the beginning of Q3.

Nevertheless, there are persisting bottlenecks in the supply of intermediate goods, which are

likely to continue to have a negative effect on some parts of the industrial sector in the coming

months. Growth in the services industries is returning to normal, following strong growth

over the past few months. The manufacturing sector registered a rise in its output in July, but

continues to be affected by supply shortages in some areas. Industrial orders picked up con-

siderably, reflecting robust demand. July was the fifteenth consecutive month in which Ger-

many was able to increase its exports. It is true that German exporters were a little less confi-

dent in August, but overall sentiment remains fairly positive in the long-term comparison.

Global industrial output and global trade expanded in June, highlighting the robustness of the

global economy, even despite a decline in dynamism. Recently, expectations in the services

sector have been held back by uncertainty caused by the rise in infections. Since the end of

lockdown in May, however, which unleased fresh cyclical dynamism, the situation has been

viewed in a more positive light. Retail sales fell in July compared to the preceding months,

but this was largely due to the sector’s very strong performance in June. The recovery on the

labour market is continuing, with another fall in unemployment and also in the number of

people in short-time work, which now stands at approx. 1.6 million. Overall economic output

can be expected to have risen in this ongoing Q3. Going forward to Q4, it is likely that growth

rates will normalise. However, the risk posed by potential new virus variants and their influ-

ence on infection rates remains the main source of uncertainty for further economic develop-

ment.

The upswing in global economic activity has recently slowed down a little. Global industrial

output in June grew 1% over the preceding month and the global trade volume also expanded

by a slight 0.5%, but June was also the third consecutive month that saw the sentiment indica-

tors take a turn for the worse. In August, the J.P. Morgan/IHS Markit composite purchasing

managers’ index fell by 3.2 points to reach 52.6 points, which is only just above the growth

threshold of 50 points. The mood in industry deteriorated only slightly, despite persisting

shortages in the supply of key intermediate goods, whereas sentiment among service provid-

ers was far more subdued than before – probably in view of the increasing spread of the more

contagious COVID-19 delta variant. Despite this, there are strong indications that global eco-

nomic output will continue to rise in Q3, albeit at a slower pace than had been expected.

2 https://www.bmwi.de/Redaktion/EN/Pressemitteilungen/Wirtschaftliche-Lage/2021/20210913-the- economic-situation-in-the-federal-republic-of-germany-in-september-2021.html

4

German foreign trade has recently lost some momentum. In July, the value of goods exports

rose by a slight 0.5% over the preceding month, adjusted for seasonal variations and on a

nominal basis (June: -0.5%). Goods imports fell by 3.5%, following a small increase in June.

With export and import prices growing strongly and at the same time, the increase registered

on a nominal basis is likely to turn into a decrease in price-adjusted terms. This effect should

be even more pronounced for the import figures. By contrast, trade in services picked up con-

siderably in July. Largely due to more foreign travel undertaken by Germans, services imports

grew by 9.6%. Services exports even grew by 11.1%. The combined trade figure for goods

and services exports rose by 2.4%, the respective import figure fell by 0.9%.

At national level, the slight slowdown in global economic recovery is reflected in the leading

indicators for foreign trade and investment only to a limited degree. New foreign orders

showed a marked increase of 8.0% between June and July. However, these figures are much

affected by large orders and the three-month comparison shows only a slight rise (+0.2%) in

new (foreign) orders. In August, the ifo export expectations for the manufacturing sector,

although still quite confident, painted a somewhat less confident picture than before. This

breather notwithstanding, the overall outlook for German foreign trade remains positive. A

boost is being provided by the favourable economic development in important sales markets

in Asia and in the United States.

Output in the manufacturing sector rose 1.0% between June and July. Industrial output in-

creased by 1.3%; the construction sector recorded a 1.1% increase. The two-month compari-

son for June/July compared with April/May shows a slight decrease of 0.9% in manufacturing

output. Whilst industrial output fell by a slight 0.4%, construction output fell markedly by

1.7% in the two-month comparison, albeit from a comparatively high level. New manufactur-

ing orders expanded by 3.4% between June and July. The two-month comparison of June/July

versus April/May also points to a significant plus (+4.6%). Excluding large orders, however,

order activity dropped slightly, by 0.2%. Overall, new orders saw another considerable rise,

following the one recorded in June. This was due to strong foreign demand (+8.0%), particu-

larly from outside the eurozone (+15.7%). In contrast, domestic demand, which had been the

driving force behind the rise in orders in the previous month, declined (-2.5%), but did remain

at a high level. Overall, orders were marked by the strong growth in the production of ma-

chinery, pharmaceuticals and large orders in other (i.e. non-automotive) vehicle construction.

New orders in the large mechanical engineering sector have been expanding continuously

since December 2020, growing by almost 15% since the beginning of this year.

5

Following the slowdown in industrial production in Q2, the ongoing Q3 began on a brighter

note. The important motor vehicles and parts sector increased its output by 1.9% in July. The

mechanical engineering sector, which is of similar significance, saw a 6.9% increase in out-

put. The shortage of semiconductors, which has recently slowed down production, is, howev-

er, expected to persist. Construction output remains at a high level. Given the constant high

level of demand and the growth in output, the industrial outlook remains positive, even

though surveys have shown that business prospects have recently been affected by less posi-

tive expectations, not least because of the rise in infections.

Retail sales (excluding cars) have recently fallen. Having increased by a hefty 4.5% in both

May and June, retail sales fell by approx. 5% in July. The rise in infections is creating elevat-

ed levels of uncertainty on the part of both consumers and retailers. Following a strong recov-

ery in May and June, retail sales of textiles, clothing and footwear fell by around 10% in July.

E-commerce and mail order sales continued to normalise (-11.9%), but the figure was still

well above the pre-crisis level (+21%). New car registrations by private owners once again

rose considerably in August (+3.1%).

The ifo figures for business expectations in the retail sector dipped in August, in fact even

more so than they had done in July. The GfK consumer climate index is expected to register a

small decline in September, with the rise infections and resulting consumer insecurity as a

main reason.

The consumer price level remained unchanged between July and August (±0.0%). Before, in

July, there had been an increase of 0.9%, which mainly resulted from higher energy prices.

The inflation rate, the year-on-year development of prices, rose by 0.1 percentage points to

3.9% in August. This comes after a strong hike by 1.5 percentage points in July. This sudden

surge towards the middle of the year was the result of a base effect cased by the temporary

reduction in VAT rates in the preceding year. In other words, the current consumer prices –

which include the regular VAT rates – are being compared with prices that were subject to

reduced VAT rates. Other special effects that have also resulted in a considerable increase in

the inflation rate since the beginning of the year include the recovery of import and commodi-

ty prices and the introduction of carbon pricing. Once these special effects cease to exert their

influence at the end of the year, the upward trend in consumer prices is likely to weaken con-

siderably. The core inflation rate (excluding energy and food) rose slightly to +2.8% in Au-

gust (from +2.7% in July). Energy prices soared 12.6% in year-on-year terms (July: +11.6%).

Current developments on the commodity markets, however, suggest that the oil price will ease

in the medium term.

6

The remarkable recovery of the labour market continued through August; prospects for the

coming months are also positive. Following the loosening of COVID-19 restrictions, particu-

larly in the hospitality, retail, and services sectors, unemployment and underemployment

again fell considerably in August (in seasonally-adjusted terms), by 53,000 and 38,000 per-

sons respectively. Typically, one would expect a seasonal rise in unemployment in the sum-

mer months. According to the unadjusted figures, however, unemployment fell by 12,000 to

now stand at 2.58 million people. Compared with the previous month, the number of unem-

ployed persons was down by 377,000. Gainful employment is also developing extremely well,

with a seasonally adjusted increase of 100,000 persons.

According to the unadjusted figures, there were 45 million people who were gainfully active,

which is an increase of 280,000 year-on-year. In June, the number of people in jobs subject to

social security contributions saw a strong rise (+79,000 compared to May), and the number of

people in short-time work dropped to 1.6 million (figures extrapolated by the Federal Em-

ployment Agency). The number of people in short-time work is expected to fall again by a

considerable margin in July. Demand for labour continues to remain high. The leading indica-

tors used by ifo and the Institute for Employment Research (IAB) improved again in August,

from what had already been a very high level. The number of unfilled vacancies reported is

also high. This suggests that the upswing on the labour market is likely to continue over the

coming months.

In the first semester of 2021, the German local courts registered 17.7% fewer filings for insol-

vency than they did in the first semester of 2020. For July and August, the Federal Statistical

Office reported a month-on-month reduction of 0.1% and 19.3% respectively in the number of

companies filing for regular insolvency. The general insolvency situation thus remains unre-

markable; only the first quarter registered a temporary increase in insolvencies following the

shortening of the residual debt discharge procedure. On the whole, it is still not possible to

rule out a slight rise in company insolvencies for the rest of the year; however, it would prob-

ably be fairly moderate – if at all noticeable.

7

2. Selected policy measures affecting the forest sector and market drivers

2.1 Climate Protection Program 20303

The greatest potential for strengthening the contribution of forests to climate protection lies in

sustainable, near-natural forest management, the promotion of their carbon sink capacity, both

in standing stock and in deadwood and soil, and greater use of wood in the form of durable

products.

The Climate Protection Plan 2050, which was already adopted by the German government in

November 2016, takes up these aspects. In the field of action "Forest and forest management",

the focus is on preserving and improving the sink capacity of the forest. In addition, the CO2

reduction potential of sustainable forest management and the closely related use of wood and

the climate potential of natural forest development must be tapped. Measures to this end are

supported by GAK funding for forest conversion and by the measures funded by the Forest

Climate Fund to preserve and expand the CO2 reduction potential of forests and wood and to

adapt German forests to climate change.

On September 25, 2019, the Federal Cabinet approved the key points of the Climate Protec-

tion Program 2030 agreed by the Climate Cabinet on September 20, 2019. The agreement of

the Climate Cabinet is the basis for the additional budgetary resources made available for for-

ests in climate change in the years 2020 to 2023.

2.2 Forest Strategy 20504

Germany is one of the most densely forested countries in Europe, with around one third of its

territory covered by forest. It is primarily mixed forests that characterize the German forest

with an area share of 76 percent. The extreme weather of the past three years represents a

turning point. Storms, drought and the bark beetle have caused massive damage: around

280,000 hectares need to be reforested.

The Forest Strategy 2050 shows a pathway to the future of German forests. The main focus of

this strategy is on how forests are adapted to climate change, biodiversity can be better pro-

tected, sustainable forest management is guaranteed, which also ensures that wood and wood

3https://www.bmel.de/SharedDocs/Downloads/DE/Broschueren/waldbericht2021.pdf?__blob=publicat ionFile&v=9 4 https://www.bmel.de/SharedDocs/Pressemitteilungen/DE/2021/143-waldstrategie-2050.html

8

products permanently store CO2. The strategy also considers how the forest is preserved as a

valuable recreation area for citizens and awareness is created among them of the value of the

forest.

2.3 German “Charter for Wood 2.0”5

The Federal Government’s “Climate Action Plan 2050” addresses the “Charta for Wood 2.0”

as one particular milestone6. The “Wood Charter 2.0”, initiated by the Federal Ministry of

Food and Agriculture (BMEL) in April 2017, focusses on assurance of continuous raw mate-

rial supply and increase of timber demand, as well as aspects of a cycle-driven economy and

resource efficiency, in order to mitigate climate change and create additional value. With the

objectives of mitigating climate change, creating value and utilizing resources efficiently, the

German “Charter for Wood 2.0” focuses on qualitative growth in order to support vital inter-

national, European and national political objectives. In this context the “Charter for Wood

2.0” further develops and substantiates the “Forest Strategy 2050”.

The following priority fields of action and their central topics provide the framework for spe-

cific action and create the basis for further development:

- Using wood in urban and rural construction (increasing the share of wooden buildings

in the various building categories, increasing the use of wood in building renovations,

curbing prejudice against wood in leading regulations and guidelines, more considera-

tion of the effects on climate change mitigation in strategies, programmes, manuals

and guidelines for the construction sector).

- The potential of wood in the bioeconomy (increasing the number of patent registra-

tions, increasing the proportion of hardwood used as a material).

- Material and energy efficiency (increasing raw material yields and reducing the use of

materials in the wood sector, reducing energy consumption in the forestry and wood

sector, increasing the efficiency/reducing emissions of wood combustion plants).

- Forests and wood as resources (increasing viable forest wood potential in the long-

term, safeguarding the long-term availability of softwood, increasing the amount of

raw wood harvested in small private forests, increasing the short-term and medium-

term potential of wood by tapping unutilized as well as alternative sources of raw ma-

terials, ensuring that imported wood products are sourced legally and sustainably).

5 https://www.charta-fuer-holz.de/ 6 http://www.bmub.bund.de/themen/klima-energie/klimaschutz/klima-klimaschutz- download/artikel/klimaschutzplan-2050/?tx_ttnews%5BbackPid%5D=3915

9

- The forestry and wood cluster (increasing revenues and value creation in the forestry

and wood cluster, safeguarding employment, especially in rural areas).

- Forests and wood in society (expanding the scope of communication with consumers

and the information available to them in order to promote awareness of the positive

aspects of forest and wood use for society).

- Research and development (increasing investments in research and development by

the forestry and wood cluster as well as by public sponsors, maintaining and expand-

ing staff capacities in research, science and teaching).

2.4 Supporting programs for the timber industry and climate-friendly construction with

wood7

The federal government's economic stimulus and crisis management package, amongst others,

aims at supporting the forest product industry and promotes a modern timber industry, includ-

ing the increased use of wood as a building material. In the future, the forestry and timber

industry will have to adjust to unplanned quantities of calamity wood, which will have to be

processed and create value. The proportion of usable hardwood will continue to increase as

forests adapt to climate change, while the expansion of capacities for the use of hardwood as a

material is stagnating or even declining. As the most important market segment, construction

with wood plays a key role in the sale of forest products. The further development of climate-

friendly construction with wood and the increase in the use of hardwood is therefore of fun-

damental importance.

The economic situation in the forestry and timber sectors has developed differently under the

influence of the calamities as well as the Corona pandemic. As demand for timber construc-

tion continues to rise, it is becoming increasingly important to develop the necessary capaci-

ties and know-how - especially with regard to large-volume, multi-story timber construction.

Overall, two programs provide strategic impetus for necessary transformation processes in the

areas of digitalization, new technologies and processing capacities. This is intended to support

the necessary adaptation of the wood based industry to future challenges and at the same time

improve sales prospects for forest owners. The aim of the programs is to ensure a greater con-

tribution to more resource efficiency and climate protection through the use of wood as a re-

newable resource.

7https://www.bmel.de/SharedDocs/Downloads/DE/Broschueren/waldbericht2021.pdf?__blob=publicat ionFile&v=9

10

The first program supports the modernization of the wood-based industry through grants for

investments, thereby creating incentives for the value-preserving or value-enhancing use of

calamity wood, increased use of hardwood, and expansion of the use of wood as a building

material. In addition, the funding is intended to have a positive steering effect with regard to

digitalization, resource efficiency and climate protection.

A second program focuses on the further development of climate-friendly construction with

wood. In view of the rapid technological change, further development in the field of devel-

opment, introduction and dissemination of innovative technologies, processes and products is

necessary. At the same time, increasing demand and the need for complex construction pro-

jects pose new challenges for companies in the predominantly small-structured sector. This

requires not only technological changes but also an adjustment of structures and capacities.

The directive is geared to two funding areas. Funding can be provided for consulting services

provided by third parties to companies. In addition, the funding is aimed at supporting innova-

tion clusters. This supports the necessary transfer of knowledge, innovation and technology

between science and practice by improving the networking of cooperation between compa-

nies, institutions, science and research.

2.5 Restrictions of regular timber fellings8

Due to the enormously high quantities of calamity wood as a result of the forest damage in

2017 to 2020, the German state of North Rhine-Westphalia applied to the Bundesrat (upper

house of the German parliament) in November 2020 for a nationwide restriction of the regular

(scheduled) felling of spruce to 70 percent of the regular felling. The logging restriction was

to be limited to the two forestry years 2021 and 2022 (October 1, 2020 to September 30,

2022). The states of Bavaria, Baden-Württemberg and Lower Saxony then submitted an

amendment to the Bundesrat, which was adopted by the Bundesrat at its meeting on Novem-

ber 27, 2020. This amendment provides for limiting regular logging to only 85 percent and

limiting the period of validity to one forestry year (October 1, 2020 to September 30, 2021).

This corresponds to a nationwide reduction of about 3 to 3.5 million m³ of the regular felling

of spruce. The Federal Ministry of Food and Agriculture has adopted the logging restriction

ordinance as it was last passed in the Bundesrat. A renewed discussion in the Bundesrat was

8https://www.bmel.de/SharedDocs/Downloads/DE/Broschueren/waldbericht2021.pdf?__blob=publicat ionFile&v=9

11

nevertheless necessary. On March 26, 2021, the plenum of the Bundesrat approved the

BMEL's draft ordinance. The so called HolzEinschlBeschrV2021 came into force on April 22,

2021 after the Federal Minister of Agriculture signed it. The logging restrictions are moni-

tored by the state forest authorities of the Länder.

The logging restriction ordinance will apply retroactively from October 1, 2020. The logging

restriction ordinance will also provide additional tax benefits for forest owners and wood pro-

cessing companies from October 1, 2020 to the end of September 2021. Nevertheless a hard-

ship regulation for smaller forest owners was issued.

2.6 Expanding renewables and boosting energy efficiency9, 10

Germany’s electricity supply is becoming “greener” every year. The share of renewables in

electricity consumption has steadily grown over the last few years – rising from around 6% in

2000 to more than 45% in 2020. This means that Germany significantly overachieved its 35%

target for 2020. By 2030, 65 % of electricity consumed in Germany is to derive from renewa-

bles. This is the aim set out in the Renewable Energy Sources Act. The following Figure 1

provides an overview of Germany’s electricity mix, i.e. illustrating the share of renewables.

9 https://www.bmwi.de/Redaktion/EN/Dossier/renewable-energy.html 10 https://www.bmwi.de/Redaktion/EN/Dossier/economic-policy.html

12

Figure 1: Gross electricity generation in Germany in 2019 in TWh; last update: Sep- tember 2020

Renewables are also becoming more important with regard to heat supply. In 2020, they ac-

counted for 15.2 % of final energy consumption for heating and cooling, above Germany’s

targeted share of 14 %.

The energy transition is one of the Federal Government’s key projects for a secure, environ-

mentally compatible and economically successful future. An overall framework, bringing

together the various fields of action, including energy efficiency, renewables, the electricity

market and grids, is set out in Germany’s Climate Action Plan 2050 and corresponding

measures were compiled in the Climate Action Programme 2030, in 2019.

The energy transition is not only making it possible to phase out nuclear power by the end of

2022, but is also helping Germany to attain its climate targets. At the core of the energy tran-

sition are energy efficiency and a further increase in renewables capacity. Just like our econ-

omy as a whole, the energy transition must be underpinned by the principles of the social

market economy. This means that we need to bring together economic success and a high

level of social security. We must ensure that our energy supply remains stable, at a cost that

does not harm our businesses’ ability to compete or our consumers’ ability to buy.

13

Digitalization is a key element of the energy transition, required to further integrate renewa-

bles in the electricity market and to make the electricity market 2.0 fit for a growing share of

renewables. The Federal Ministry for Economic Affairs and Energy is putting the conditions

in place for a digital infrastructure which will link up more than 1.5 million electricity genera-

tors and large consumers.

For the energy transition to be a success, it is necessary to significantly improve energy effi-

ciency. In addition to the expansion of renewable energies, energy efficiency plays an im-

portant part in reaching Germany’s climate targets. The goal must be to consume as little en-

ergy as possible in the first place and to use renewables to cover the remaining needs. The key

instrument steering energy efficiency policy in Germany is the National Action Plan on Ener-

gy Efficiency (NAPE), which defines the strategic direction of efficiency policy and brings

together key measures, programmes and instruments.

2.7 Enhancing energy efficiency in buildings11, 12, 13

The construction sector is one of the most resource-intensive industries in Germany. 90% of

all utilised mineral resources are used to manufacture construction materials and products.

This means that the construction sector accounts for a significant share of the required energy

and the CO2 emissions they cause. Less fossil energy is usually required to manufacture and

dispose of construction materials made from wood than materials made from finite mineral

resources. Building with wood can therefore make a considerable contribution to reducing

CO2 emissions and, consequently, to climate change mitigation.

More than half of all finished products made from wood (excluding paper) are used in the

construction sector. This makes the construction sector the most significant area in which

wood products are used. Increased demand has led to wood construction becoming the driving

force in wood use – with positive effects on employment and value creation for the entire for-

estry and wood cluster. As a result, the number of people employed in wood construction has

risen by 28% within a period of ten years.

While only 6% of single-family and two-family houses were built from wood at the beginning

of the 1990s, this percentage has increased to around 21% in 2020. But the use of wood in

11 https://www.bmwi.de/Redaktion/EN/Dossier/economic-policy.html 12 https://www.bmwi.de/Redaktion/EN/Artikel/Energy/energy-efficiency-strategy-for-buildings.html 13 https://www.charta-fuer-holz.de/fileadmin/charta-fuer- holz/dateien/service/mediathek/Web_ENGL_BMEL_Charta_130721_komplett_1250.pdf

14

multi-family residential construction paints a very different picture. The percentage here is

still only 3% (Table 2). In high-rise apartment building construction, wood construction is

limited to a few reference buildings and flagship projects. In cities, wood construction is

therefore still clearly under-represented, although the technical and economic advantages of

wood as a construction material are obvious when it comes to meeting the growing demand

for affordable urban housing. These advantages, especially in urban densification projects,

include short building periods, high load capacity in spite of its light weight and flexibility

when it comes to adding new storeys or extensions.

Table 2: Timber construction rates in Germany in 2020 (in %)

Single-family and two-family houses 21.0

Multi-family houses 3.3

Non-residential buildings 19.6

Source: Destatis

Alongside new construction, the modernisation and renovation of existing buildings also

plays an important role. Roughly two-thirds of the wood used in the construction sector is

used in modernisation and renovations, such as to create extra living space or to renovate

buildings in a way that increases their energy efficiency. About 75 per cent of

the approx. 40 million German residential units were constructed before 1979 and are there-

fore in greater need of renovation. This is where wood can provide energy-efficient solutions

(e.g. energy-efficient insulation).

Residential sector demands a significant amount of final energy use in Germany. Where con-

sumption is high, there is a lot of potential for energy savings. There are many benefits of

improving energy efficiency and using renewable energy to power the home. These include

lower energy costs, greater living comfort and a higher property value, as well as the valuable

contribution that is made towards mitigating climate change. The Federal Ministry for Eco-

nomic Affairs and Energy will provide further support in this field with a range of attractive

funding programmes. Since 2006, more than six million flats, 7.000 commercial buildings and

4.000 buildings of social institutions such as kindergartens or schools have been refurbished

or newly built while benefiting from government funding in this process. Making homes en-

ergy efficient significantly reduces heating costs and allows to enjoy a pleasant indoor cli-

mate. The Federal Government wants to make Germany climate-neutral by 2045 which also

sets the long-term target for the building sector. In order to achieve this, our buildings need to

be made more energy-efficient and more of our heating needs to be covered by renewables.

15

Since 1 July 2017, the Federal Ministry for Economic Affairs and Energy has been providing

support for local and district heating systems based on renewable energy. For the first time,

funding is available not just for individual technologies or components, but for innovative

overall systems that rely on renewables for at least 50 % of the heat or cooling energy they

deliver. These heating systems can help significantly raise the share of renewables, make bet-

ter use of waste heat, and allows for systems to be operated at lower temperatures compared

to traditional heating systems. This helps minimise losses, enhances energy efficiency and

promotes the use of renewable energy in local and district heating systems. It supports feasi-

bility studies and investment costs for the construction of 4th generation heating networks

systems. The respective programme will be replaced by the new and more ambitious Federal

Programme Efficient Heat Networks which is expected to start in autumn 2021. The new

scheme will provide funding for the planning and construction of district heatingnetworks

with at least 75 % of heating from renewable energies (including biomass) and waste heat on

the one hand. On the other hand, it will induce the transformation of existing district heating

networks, mainly supplied by fossil fuels, into climate-neutral infrastructures fed by renewa-

bles and waste heat. Feasibility and transformation studies will be funded with 50 % of the

costs, investments with 40 % of the costs.

Through a combination of energy conservation and the use of renewable energy, the Federal

Government aims to significantly cut primary energy demand in the building stock in order to

achieve its long-term energy and climate targets. The existing set of instruments is already

reaching large numbers of building owners and landlords, and encouraging them to invest in

energy conservation in their buildings. In order to meet the ambitious goals in the buildings

sector, additional investment is needed to make homes more energy efficient and use more

renewable energy for heating. To achieve this, the “ Long-Term Renovation Strategy of the

German Federal Government” lays down key principles, such as giving people advice on en-

ergy, the continued development of energy conservation legislation, customised renovation

roadmaps for individual buildings as well as the “Federal Funding Scheme for Efficient

Buildings” which combines funding programmes for energy-efficient construction and reno-

vation and incentives for using renewable energy sources for heating and cooling in buildings.

16

3. Development in forest products sectors

3.1 Timber and roundwood markets

Forests play the key role in timber and fuelwood supply, which has increased significantly

during the two decades since 1990. After the boom period 2003 to 2007 and the downturn in

the wake of the subsequent financial crisis, the material use of wood is largely stable at

around 65 million m³. In the period 2009 to 2016 the energetic use of wood resources (incl.

wood sourced from forests, wood residues, post-consumer-recovered wood etc.) has been

more or less balanced at the same level as the material timber use. The levelling of fuelwood

utilization is mainly attributable to the declining application in private households as a result

of warm winter seasons and lower oil prices (Figure 2).

0

10

20

30

40

50

60

70

80

1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016

in M m³

stoffliche Verwendung

energetische Verwendung

Source: Mantau U (2018): INFRO Holzrohstoffbilanzen und Stoffströme des Holzes – Ent-

wicklungen in Deutschland 1987 bis 2016. Schlussbericht. Hamburg

Figure 2: Development of material utilization (yellow line, starting on higher level) and energetic utilization (red line, starting on lower level) of wood resources in Germany (million m3)

In late 2017 and especially during 2018, 2019 and 2020, roundwood production in Germany

was strongly affected by windthrow, drought and pests. Heavy storms led to significant forest

damage. The following drought period during 2018 to 2020 caused severe calamities by bark

beetle infestation in many regions. The damages mainly affected softwood, especially spruce.

It is reported that in the years 2018, 2019 and 2020 the damage due to drought and bark beetle

infestation accounted for 36 million m³, 69 million m³ and 72 million m3, respectively. The

17

costs of the damage caused to forestry by the extreme weather events of 2018 to 2020

amounts to more than 12.7 billion euro (Möhring et al. 202114)

The total volume of about 177 million m3 of damaged timber, accumulated within the last

three consecutive years, has led to continued oversupply, severe market pressure and dropped

roundwood prices. About 277,000 ha forest area has been affected between 2018 and 2020 in

Germany. The damage does not only concern the forest ecosystem, but also threatens the ex-

istence of many forest holdings. In order to combat spreading bark beetle disease and to pre-

serve timber quality, the clearing of affected forest areas is most important. But storage sites

have already been filled. Forestry companies are reaching limits regarding work force, logis-

tics and financial resources. Another future challenge is the question of reforestation with

special focus on climate change aspects (financing, seedlings, species etc.). Against the back-

drop of ongoing climate change it is supposed that in some regions Norway spruce may not be

able to maintain as a species as it seems not to be robust enough against storms and drought.

Another task is the suppression of emerging natural rejuvenation of spruce. Therefore, it is

challenging to choose climate change appropriate tree species for replanting resilient German

forests.

The Federal Government has already taken first measures to deal with forest damage during

the year 2018. The German Bundestag has decided on an additional 25 million Euros (ear-

marked) within the 2019 budget of the “German Joint Task for the Improvement of Agricul-

tural Structures and Coastal Protection (GAK)” for a period of 5 years. The government's

draft budget for 2020 and the 2023 financial planning foresees doubling the funding for the

management of extreme weather events in forests from 5 million to 10 million Euros per year.

Additionally, tax reliefs for the year 2018 have been achieved in favor of heavily affected

forest enterprises. Furthermore, there are particularly favorable financing conditions for refor-

estation measures offered by Landwirtschaftliche Rentenbank (Development Agency for Ag-

ribusiness and Rural Areas).

As forest damage heavily increased during 2019, these measures will not be sufficient. Hence,

the Federal Government will provide further financial resources for necessary measures as

part of the national climate package. 14 Möhring B, Bitter A, Bub G, Dieter M, Dög M, Hanewinkel M, Graf von Hatzfeld N, Köhler J, Ontrup G, Rosenberger R, Seintsch B, Thoma F (2021) Schadenssumme insgesamt 12,7 Mrd. Euro: Abschätzung der ökonomischen Schäden der Extremwetterereignisse der Jahre 2018 bis 2020 in der Forstwirtschaft. [Total damage 12.7 billion euros: estimation of the economic damage of the extreme weather events of 2018 to 2020 in forestry]. Holz Zentralbl 147(9):155-158

18

What needs to happen to deal with the forest damage immediately and in the long term? The

following corner stones may provide a basis for further action:

1. Combating bark beetle spread (i.a. evacuation of affected forest areas considering bio-

diversity aspects)

2. Transportation relief (i.a. temporary increase of permitted total weight for heavy duty

vehicles from 40 tonnes up to 44 tonnes, temporary suspension of the driving ban on

Sundays and holidays) and suspension of the cabotage scheme.

3. Acceleration and simplification of approval procedures for wood storage sites (wet and

dry storage)

4. Prompt reforestation of damaged forest areas taking into account climate change as

well as the need of high-quality seed and planting material (climate resilient mixed

stands)

5. Adaptation of the wild population to the requirements of close-to-nature forest man-

agement

6. Restoration/maintenance of the infrastructure in the forest (e.g. network of forest

roads, fire-fighting ponds, defusing of the situation in areas contaminated with ammu-

nition) and coordination of measures with the nature conservation authorities

7. Support of small private forest owners (e.g. intensify advice on the adaptation of for-

ests to climate change including training)

8. Backup for sufficient and well-trained staff (i.a. reversing staff reductions of the past;

rising attraction and expansion of education in forestry science, timber construction

and wood technology with practical relevance)

9. Expansion of research and development with special focus on forests, timber and cli-

mate protection

10. Intensification/expansion of forest monitoring (i.a. systematic detection of forest dam-

age using new technologies such as remote sensing)

11. Review and adaption of the German Forest Damage Compensation Act (i.a. definition

of thresholds for forest crisis, traffic and tax regulations)

12. Strengthening the climate-friendly use of wood originating from sustainable forest

management (major project: continued and intensified implementation of the Timber

Charter 2.0 measures focusing on i.a. climate protection, cycle-driven economy, raw

material and energy efficiency, intensified use of hardwood products)

13. Strengthening cooperation on European and international level in the field of sustaina-

ble forest management (other countries are facing similar challenges as Germany)

14: Intensification of public relations in the forest and wood sector (i.a. fact-based infor-

mation and education about the interrelationships of forest, wood, climate protection

and conservation of finite resources)

19

In addition to the above-mentioned key points and possible measures, an overarching, com-

prehensive, medium- and long-term strategy for the conservation and sustainable development

of the German forest is necessary. To this end, the Forest Strategy 205015 provides valuable

input.

3.2 Method to detect more realistic harvests and removals

According to official harvest statistics, in 2020 about 80.4 million m³ commercial volume under bark were felled (+16.8 % compared with 2019). The fellings are strongly affected by damaged timber from drought and bark beetle. According to official statistics, the species group “spruce” accounted for 77 % of the total fellings, “pine” for 10 %, “beech” for 11 % and “oak” for 2 %. The share of the species group “spruce” increased by about 8 percentage points compared to 2019 which is mainly caused by bark beetle damage of spruce trees. Comparing the development of removals in recent years with German Forest Resource As- sessment data seems to show that in comparison with potential coniferous wood resources (in particular potential resources of spruce) in hardwood there is still considerable untapped po- tential. However, the official felling statistics (average of the last decade: about 59 million m3) underestimate the real timber volumes, harvested in and removed from the forest. Espe- cially removals in enterprises managing smaller forest areas (i.a. registration problems) and fuelwood removals are underestimated.

In order to provide more realistic accounts of harvesting volumes an additional methodologi-

cal approach has been developed in Germany. The method is based on the recalculation of the

used amount of roundwood, differentiated into the various users (Jochem et al. 2015, TI-WF

2021)16. Considered datasources include official statistics, statistics of industry associations,

and results of various empirical studies (e.g. fuelwood consumption in private households).

Also, results from the most recent third Federal Forest Inventory Study 2012 and the Carbon

Inventory Study 2017 estimate the average annual harvest in the period 2003 to 2012 and

2013 to 2017 respectively. The third Federal Forest Inventory allows at a ten-year interval the

determination of fellings and verifies the derivation on the demand side. The Carbon Invento- 15https://www.bmel.de/SharedDocs/Downloads/DE/Broschueren/Waldstrategie2050.pdf?__bl ob=publicationFile&v=6 16 Jochem D, Weimar H, Bösch M, Mantau U, Dieter M (2015): Estimation of wood removals and fellings in Germany: a calculation approach based on the amount of used roundwood. Eur J Forest Res 134(5):869-888, DOI:10.1007/s10342-015-0896-9; TI-WF (2021): Fellings and Use of Roundwood [online]. Hamburg: Thünen Institute of International Forestry and Forest Economics. Access: https://www.thuenen.de/en/wf/figures-facts/production-and-use/fellings-and-roundwood-use/

20

ry is an intermediate inventory conducted in the middle of the obligatory ten-year circle of the

Federal Forest Inventory. Results of the statistical data for the most recent years as well as for

the period 2003 to 2012 are provided in Table 3.

Table 3: Comparison between official felling statistics with results of Federal Forest In- ventory 2012 and WEHAM-potential (in million m3 of solid wood under bark per year)

Year/ Period

official statistics

Federal Forest Inventory 2012 (Ø 2003-2012)

WEHAM- potential

Carbon Inven- tory 2017 (Ø 2013-2017)

Thünen Estima- tion on Round- wood Fellings

2003-2012 56.8 75.7 78.3 74.1 2013 53.2 73.9 2014 54.4 77.7 68.9 2015 55.6 71.4 2016 52.2 68.4 2017 53.5 62.0 69.0 2018 64.6 76.8 2019 68.9 79.2 2020 80.4 86.1 Source: BMEL, Thünen-Institute17,18

Still, the domestic use of roundwood is dominated by softwood (roughly about three quarters

of the used roundwood are coniferous species). The German timber industry is further based

upon softwood processing. Roundwood utilisation accounts for about 90 % softwood and

about 10 % hardwood species. Predicted growth of global wood demand on the one hand and

declining softwood potentials in German forests on the other hand suggest that there will be a

major future challenge for the enterprises (e.g. to open up additional import opportunities for

softwood; to develop new markets for hardwood products). It is necessary to develop alterna-

tive utilisation and supply strategies with specific emphasis on improved raw material effi-

ciency and intensified “cascaded” use of wood. This situation seems to accelerate due to the

heavy damage in coniferous forest areas in Germany.

17 TI-WF (2021): Fellings and Use of Roundwood [online]. Hamburg: Thünen Institute of International Forestry and Forest Economics. Access: www.thuenen.de/en/wf/figures-facts/production-and- use/fellings-and-roundwood-use/ 18 Hennig P, Schnell S, Riedel T (2019) Rohstoffquelle Wald - Holzvorrat auf neuem Rekord. AFZ Wald 74(14):24-27

21

3.3 Positive development in timber construction

Roundwood markets are closely linked to developments in the construction sector. Regarding

wood consumption this industry sector is most important. In Germany roughly between one

half and two third of removals are transformed into products designed for building construc-

tion and housing elements. The German construction, housing and property industries form a

key sector for growth (turnaround 2019 estimated at about 307 billion Euros) and labor force

(about 2.5 million employees). About 75 per cent of the approx. 40 million German residen-

tial units were constructed before 1979. In 2020 the completed number of new residential

buildings has increased against the previous year by 4,864 units to 112,935 units. The share of

new wooden buildings in the whole building market has slightly increased from 18.7% in

2019 to 20.4 % in 2020.

3.4 Trade policy issues - Trade with wood and wood-based products

German trade with wood and wood-based products showed an increase in net imports from

the years 2018 to 202019, measured in roundwood equivalents (m³(r)): -1.4 million m³(r) in

2018, 9.0 million m³(r) in 2019 and 15.6 million m³(r) in 2020, respectively. In monetary

terms, however, net trade shows a surplus in these years: In 2018 net exports of 6.5 billion

euro of wood and wood-based products could be achieved. 2019 shows a further increase to

6.9 billion and, however, 2020 a slight decline to 6.7 billion euro.

The following Figure 3 and Figure 4 show the German trade balance of wood and wood-

based products of different product groups in the years 2018 to 2020 in 1,000 m³(r) and in

1,000 million euros.

19 Trade data for 2020 are preliminary

22

Source: Federal Statistical Office, calculated by Thünen Institute. 2020: Preliminary data

Figure 3: Trade balance of product groups of wood and wood-based products in the years 2018 to 2020 (in 1,000 m³ (r))

The main product group of roundwood and residues shows net imports in the year 2018 and a

drastic change to net exports in 2019 and 2020. This change is mainly due to the strong in-

crease of domestic supply of roundwood because of ongoing drought and bark beetle damage

and options of forest enterprises to generate income in oversea markets. Especially exports of

coniferous roundwood to China increased significantly. 2019 is the first year since 2008

which shows net exports of roundwood. Measured in monetary values, already 2018 showed

net exports of roundwood and residues. In 2019 and 2020 further increases can be seen to 412

million and to 701 million euro.

Trade with semi-finished wood products shows an increase in net exports measured in round-

wood equivalent m³(r) as well as in euro. In 2018, net export summed up to 1.7 million m³(r)

and further increased to 6.4 million m³(r) in 2019 and to 7.8 million m³(r) in 2020. Net ex-

ports in monetary values show an annual export surplus of 2.6 billion euro in 2018, 3.1 billion

euro in 2019 and 3.3 billion euro in 2020. Within this main product group, pulp and recovered

paper show significant net imports, while the export surplus is mainly due to paper and paper-

board and to a minor degree to panels, sawnwood and other semi-finished products.

23

Source: Federal Statistical Office, calculated by Thünen Institute. 2020: Preliminary data

Figure 4: Trade balance of product groups of wood and wood-based products in the years 2018 to 2020 (in million euro)

The main product group of finished products shows net exports in volume only in 2018 (600

million m³(r)) and rising net imports in 2019 (21 million m³(r)) and in 2020 (709 million

m³(r)). In value, net exports could still be achieved. However, they also show a decreasing

trend. In 2018 the export surplus amounted to 3.9 billion euro, in 2019 to 3.4 billion euro and

in 2020 to 2.7 billion euro. This development is mainly due to increased net imports of wood

products including furniture and decreasing net exports of printed matter, while paper prod-

ucts still show roughly constant net exports in quantity and value.

3.5 Sawnwood (softwood/hardwood)

In 2020, about 18,866 people were employed in the German sawmilling industry (+0.5 %

against 2019). The total turnover amounted to 6.5 billion euro (+4.0 % against previous the

year). With an export quota of 32.5 %, the export turnover amounted to 2.1 billion euro.

24

Compared with 2019, the entire export turnover increased by 5.9 % (companies with 20 and

more employed persons)20.

With about 25.2 million m3, the domestic production of sawn softwood (coniferous) increased

by 9.9 % in 2020 compared with 2019. The apparent consumption of coniferous sawnwood

also increased to 20.6 million m³ (+6.6 % compared with 2019). German exports of sawn

softwood amounted to 9.6 million m³ and the imports to 5.0 million m³ in 2020. The annual

apparent consumption of sawn hardwood amounted to 0.7 million m³ and shows a decrease of

22.8 % compared to 2019. The domestic production also decreased significantly with about

20.8 % and is at a level of 1.0 million m3 of sawn hardwood.

In 2020, the Covid-19 pandemic led to a significant increase in domestic consumption of co-

niferous sawnwood. One reason was a still functioning construction sector and another reason

a stimulated demand in the DIY market as a lot of people stayed much longer at home, trav-

elled less and spent more money in renovation and similar activities. At the beginning of

2021, sawnwood demand exceeded supply while domestic sawmill industry continued to op-

erate at full capacity. During this period, high price levels indicated a shortage of sawnwood.

Recent market information suggest however, that the price rally stopped. Nevertheless, it’s

likely that future sawnwood prices will be slightly higher compared to past ones.

3.6 Wood-based panels (particle board, fibreboard, MDF, OSB, plywood)

In 2019, the German panel industry employed 14,067 people (-0.9 % against 2019) and rec-

orded a total turnover of 4.8 billion euro. Compared with 2019, the total turnover increased by

2.7 %. About 34.3 % of the turnover depended on foreign trade (1.6 billion euro). Compared

with 2019, the entire export turnover decreased by 1.3 % (companies with 20 and more em-

ployees)21. The annual production of the German panel industry in 2020 amounted to 6.8 mil-

lion m³ of particle boards (including OSB) (-1.3 %) and to 5.8 million m³ of fiberboards

(+5.0 %). The apparent consumption of particle boards (including OSB) was estimated to be

7.4 million m³ (+0.6 % compared with 2019) and of fibreboards to be 4.1 million m³ (+10.2 %

compared with 2019).

20 „16.1 Säge-,Hobel-u.Holzimprägnierwerke“ (StBA-genesis table 42271-0003) 21 „16.21 H.v.Furnier-,Sperrholz-, Holzfaserplatten-und-spanplatten“ (StBA-genesis table 42271-0003)

25

3.7 Pulp and paper

In 2019, approximately 37,814 people were employed in the German pulp and paper industry

(-3.7 % compared with 2019) at about 170 production sites (-3.4 % against 2019). The total

turnover decreased to 15.3 billion euro (change from previous year: -10.5 %). With an export

quota of 58.7 %, the export turnover amounted to 9.0 billion euro. Compared with 2019, the

entire export turnover decreased by 10.4 % (companies with 20 and more employed per-

sons)22. The annual production of paper and paperboard amounted to 21.3 million tons (-

3.4 % against 2019)23. The apparent consumption of graphic papers, papers and boards for

packaging, sanitary and household papers and other papers and board in total was calculated

to be 18.1 million tons (-3.3 % compared with 2019 and according to actual data of the Ger-

man Pulp and Paper Association). Wood consumption by German pulp and paper mills was

estimated to be 9.2 million m³ in 2020, which is a minus of 1.2 % compared with 201923.

3.8 Pellet industry and producers of other agglomerates

German producers of wood pellets and other agglomerates still show increases in annual pro-

duction. In 2020 production increased to 3.9 million tons (+6.7 % compared to 2018). About

797,000 tons of pellets and briquettes have been exported in 2020 (-2.3 % compared with

2019), while imports decreased in 2019 to 535,000 tons (-13.6 % compared to 2019). Domes-

tic consumption increased in 2020 to 3.6 million tons (a plus of 5.2 % compared with 2019).

Main raw material sources for pellet production are wood residues originating from softwood

sawmills. Additional sources only play a minor role (e.g. residues from forests, fast growing

species, hardwood species).

3.9 Value added wood products (including furniture)

The German woodworking and furniture industry (incl. manufacturers of assembled parquet

floors, of other builders' carpentry and joinery, of wooden containers and of other products of

wood and manufacturers of office and shop furniture, of kitchen furniture and of other furni-

ture24) employed 150,290 people in 2020 (-1.4 % compared with 2019). 54,868 were em-

ployed within the woodworking industry, 95,422 in the furniture industry. The total turnover

amounted to 28.9 billion euro, a decrease of 0.6 % compared with 2019. The increase is main-

22 „17.1 H.v.Holz-u. Zellstoff, Papier,Karton u.Pappe“ (StBA-genesis table 42271-0003) 23 VDP (2021): Paper 2021 – Statistiken zum Leistungsbericht [Statistics on the Annual Report]. Tab. N8; N16, N18 24 In accordance with NACE Codes 16.22, 16.23, 16.24, 16.29, 31.01, 31.02, 31.09

26

ly due to the furniture industry (-4.1 %) while the woodworking industry showed an increase

of 6.3 %. The turnover of the furniture industry is significantly higher (18.3 billion euro in

2020) than the turnover of the woodworking industry (10.6 billion euro). With an export quo-

ta of 22.9 % the export turnover amounted to 6.6 billion euro in 2020. The export quota of the

furniture industry is considerably higher than the export quota of the woodworking industry

(29.9 % compared to 10.7 %). The export turnover of the woodworking industry decreased

compared with 2019 (-2.6 %). This is also due for the export turnover of the furniture industry

(-8.6 %).

27

Country: Germany Date: 21/10/2021

+49 40 73962 314 Fax:

E-mail: [email protected]

Product Revised Estimate Forecast Code Product Unit 2020 2021 2022

1.2.1.C SAWLOGS AND VENEER LOGS, CONIFEROUS

Removals 1000 m3 ub 38.141 N 45.700 N 46.500 45.000

Imports 1000 m3 ub 4.300 # 3.900 # 3.500 4.000

Exports 1000 m3 ub 5.300 # 6.000 # 8.000 6.000

Apparent consumption 1000 m3 ub 37.141 43.600 42.000 43.000

1.2.1.NC SAWLOGS AND VENEER LOGS, NON-CONIFEROUS

Removals 1000 m3 ub 3.193 N 2.513 N 2.400 2.300

Imports 1000 m3 ub 200 # 150 # 150 140

Exports 1000 m3 ub 1.000 # 800 # 700 650

Apparent consumption 1000 m3 ub 2.393 1.863 1.850 1.790

1.2.1.NC.T of which, tropical logs

Imports 1000 m3 ub 8 # 8 # 9 10

Exports 1000 m3 ub 2 # 2 # 5 4

Net Trade 1000 m3 ub 6 6 4 6

1.2.2.C PULPWOOD (ROUND AND SPLIT), CONIFEROUS

Removals 1000 m3 ub 9.518 N 10.590 N 10.600 11.000

Imports 1000 m3 ub 2.500 # 2.200 # 1.500 2.000

Exports 1000 m3 ub 2.000 # 2.500 # 4.500 4.000

Apparent consumption 1000 m3 ub 10.018 10.290 7.600 9.000

1.2.2.NC PULPWOOD (ROUND AND SPLIT), NON-CONIFEROUS

Removals 1000 m3 ub 3.200 N 2.913 N 2.800 2.800

Imports 1000 m3 ub 200 # 150 # 150 140

Exports 1000 m3 ub 600 # 400 # 300 250

Apparent consumption 1000 m3 ub 2.800 2.663 2.650 2.690

3 WOOD CHIPS, PARTICLES AND RESIDUES

Domestic supply 1000 m3 14.890 C 16.115 C 17.500 17.500

Imports 1000 m3 1.500 C 1.002 C 1.000 1.000

Exports 1000 m3 2.762 C 2.468 C 2.500 2.500

Apparent consumption 1000 m3 13.628 14.649 16.000 16.000

1.2.3.C OTHER INDUSTRIAL ROUNDWOOD, CONIFEROUS

Removals 1000 m3 ub 71 N 72 N 75 75

1.2.3.NC OTHER INDUSTRIAL ROUNDWOOD, NON-CONIFEROUS

Removals 1000 m3 ub 0 N 2 N 2 2

1.1.C WOOD FUEL, CONIFEROUS

Removals 1000 m3 ub 9.607 N 9.005 N 8.500 8.500

1.1.NC WOOD FUEL, NON-CONIFEROUS

Removals 1000 m3 ub 14.090 N 13.257 N 12.800 12.800

Please return (preferably by e-mail) to Timber Section no later than 15 October 2021.

By e-mail to [email protected].

Questions? Please contact Alex McCusker at the above address or telephone +41 22 917 2880. The historical data are from the most recent Joint Forest Sector Questionnaire (blank) or the Timber Forecast Questionnaire (#). For explanations please see cover letter.

Name of Official responsible for reply:

Official Address (in full): Thünen Institute

Holger Weimar

These data are flagged with E, R, N or C for secretariat estimate, repeat, national estimate or calculated totals (from subitems). If there is no flag, this indicates officially supplied data.

2019

TF1

Leuschnerstr. 91, 21031 Hamburg/DE

2020

TIMBER FORECAST QUESTIONNAIRE Roundwood

Historical data

Telephone: Note: Complete only if data for 2020 have been revised.

28

Country: Germany Date:

Fax:

E-mail:

Product Revised Estimate Forecast Code Product Unit 2020 2021 2022

6.C SAWNWOOD, CONIFEROUS Production 1000 m3 23.307 N 25.217 N 25.216 27.000 27.000

Imports 1000 m3 4.868 4.956 5.519 6.300 6.000

Exports 1000 m3 8.889 9.618 10.105 11.000 10.500

Apparent consumption 1000 m3 19.286 20.555 20.630 22.300 22.500 6.NC SAWNWOOD, NON-CONIFEROUS

Production 1000 m3 1.266 N 1.002 N 962 1.010 1.000

Imports 1000 m3 413 389 379 416 400

Exports 1000 m3 768 688 681 784 760

Apparent consumption 1000 m3 912 704 660 642 640 6.NC.T of which, tropical sawnwood

Production 1000 m3 2 N 1 N 1 1

Imports 1000 m3 74 65 66 66 62

Exports 1000 m3 34 30 31 27 25

Apparent consumption 1000 m3 42 36 40 38 7 VENEER SHEETS

Production 1000 m3 98 C 100 C 100 100

Imports 1000 m3 106 C 104 C 90 82

Exports 1000 m3 58 C 55 C 43 41

Apparent consumption 1000 m3 146 150 147 141 7.NC.T of which, tropical veneer sheets

Production 1000 m3 1 N 1 N 1 1

Imports 1000 m3 8 8 8 8

Exports 1000 m3 3 2 2 2

Apparent consumption 1000 m3 7 8 7 7 8.1 PLYWOOD

Production 1000 m3 111 C 100 C 100 100

Imports 1000 m3 1.486 C 1.410 C 1.100 1.250

Exports 1000 m3 376 C 363 C 360 350

Apparent consumption 1000 m3 1.222 1.146 840 1.000 8.1.NC.T of which, tropical plywood

Production 1000 m3 0 0 0 0

Imports 1000 m3 154 N 123 N 125 142

Exports 1000 m3 41 N 36 N 35 34

Apparent consumption 1000 m3 114 87 90 108 8.2 PARTICLE BOARD (including OSB)

Production 1000 m3 6.878 N 6.790 N 6.800 6.850

Imports 1000 m3 2.787 N 2.749 N 2.500 2.700

Exports 1000 m3 2.349 N 2.181 N 2.000 2.100

Apparent consumption 1000 m3 7.316 7.358 7.300 7.450 8.2.1 of which, OSB

Production 1000 m3 1.163 N 1.234 N 1.250 1.275

Imports 1000 m3 792 N 846 N 840 860

Exports 1000 m3 525 N 511 N 450 500

Apparent consumption 1000 m3 1.430 1.569 1.640 1.635 8.3 FIBREBOARD

Production 1000 m3 5.527 C 5.801 C 5.850 5.900

Imports 1000 m3 1.508 C 1.782 C 1.835 1.940

Exports 1000 m3 3.295 C 3.461 C 3.530 3.605

Apparent consumption 1000 m3 3.740 4.122 4.155 4.235 8.3.1 Hardboard

Production 1000 m3 0 0 0 0

Imports 1000 m3 223 231 235 240

Exports 1000 m3 26 28 30 30

Apparent consumption 1000 m3 197 203 205 210 8.3.2 MDF/HDF (Medium density/high density)

Production 1000 m3 4.505 N 4.600 N 4.625 4.650

Imports 1000 m3 495 N 593 N 600 650

Exports 1000 m3 2.878 N 2.877 N 2.879 2.900 2.925

Apparent consumption 1000 m3 2.123 2.315 2.325 2.375 8.3.3 Other fibreboard

Production 1000 m3 1.022 N 1.201 N 1.225 1.250

Imports 1000 m3 789 961 1.000 1.050

Exports 1000 m3 391 556 581 600 650

Apparent consumption 1000 m3 1.420 1.606 1.625 1.650 9 WOOD PULP

Production 1000 m.t. 2.326 C 2.255 C 2.255 2.267 2.278 Imports 1000 m.t. 4.755 C 4.034 C 3.952 4.000 4.000 Exports 1000 m.t. 1.254 C 1.146 C 1.192 1.100 1.100 Apparent consumption 1000 m.t. 5.827 5.143 5.015 5.167 5.178

12 PAPER & PAPERBOARD Production 1000 m.t. 22.080 C 21.339 C 21.348 23.060 23.383 Imports 1000 m.t. 10.914 C 10.420 C 9.999 10.000 10.000 Exports 1000 m.t. 14.244 C 13.632 C 13.096 14.400 14.400 Apparent consumption 1000 m.t. 18.750 18.127 18.251 18.660 18.983

5.1 WOOD PELLETS Production 1000 m.t. 2.821 N 3.100 N 3.300 3.600 Imports 1000 m.t. 317 278 291 325 350 Exports 1000 m.t. 771 751 801 745 725 Apparent consumption 1000 m.t. 2.366 2.627 2.331 2.704 2.948

Please return (preferably by e-mail) to Timber Section no later than 15 October 2021.

By e-mail to [email protected].

Questions? Please contact Alex McCusker at the above address or telephone +41 22 917 2880. The historical data are from the most recent Joint Forest Sector Questionnaire (blank) or the Timber Forecast Questionnaire (#). For explanations please see cover letter.

Forest products

Name of Official responsible for reply:

Official Address (in full):

These data are flagged with E, R, N or C for secretariat estimate, repeat, national estimate or calculated totals (from subitems). If there is no flag, this indicates officially supplied data.

2019 2020 Historical data

TF2

TIMBER FORECAST QUESTIONNAIRE Telephone: Note: Complete only if data for 2020 have been revised.

UNECE tools can help deliver on G7 Digital Trade Principles

The Group of 7 nations (G7), six of which are UNECE member States (Canada, France, Germany, Italy, the UK and the US), took bold step towards reducing barriers to trade by agreeing on the principles to govern cross-border data use and digital trade. At their meeting in London on 22 October, ministers adopted the G7 Digital Trade Principles and stressed the importance of commonalities within standards while providing sufficient flexibility to pursue legitimate regulatory goals.  

(France / Germany) Joint position statement regarding the programme of work of the Group of Experts on drafting a new legal instrument on the use of automated vehicles in traffic

Languages and translations
English

Informal document No. 1

Informal document No. 1

Informal document No. 1 (GE.3-01-01)

Distr.: General

27 August 2021

Original: English

Economic Commission for Europe

Inland Transport Committee

Global Forum for Road Traffic Safety

Group of Experts on drafting a new legal instrument on the use of automated vehicles in traffic

First session

Geneva, 1 September 2021

Item 4 of the provisional agenda Programme of Work

Joint position statement regarding the programme of work of the Group of Experts on drafting a new legal instrument on the use of automated vehicles in traffic

Submitted by the representatives of France and Germany

This document proposes discussion elements for the programme of work of the Group of Experts (GoE) on drafting a new Legal Instrument on the use of Automated Vehicles in traffic (LIAV), hereunder “the Group”.

1. Following the invitation to the first session of the GoE on LIAV by the secretariat, supported by documents ECE/TRANS/WP.1/GE.3/2021/1 (annotated provisional agenda), Annex III to ECE/TRANS/2021/6 (Terms of Reference (ToR) of the GoE on LIAV), ECE/EX/2/Rev.1 (Guidelines for the establishment and functioning of teams of specialists within UNECE) and ECE/TRANS/WP.1/100/Add. 1 (ToR of the Global Forum for Road Traffic Safety (WP.1)), France and Germany, with the present document, would like to share their views and, by doing so, open discussions of the above-mentioned agenda item 4 during this session.

2. Germany and France support the points listed hereafter:

- As established by the ToR, the main objective to be achieved is the drafting of a new legal instrument which is expected to complement the 1949 and 1968 Conventions on Road Traffic. In addition to the typical sections on definitions and final clauses, it will include a set of legal provisions for the safe deployment of automated vehicles in international traffic.

- In full compliance with the objectives of the Global Forum for Road Traffic Safety (WP.1), the Group should seek to promote road safety, in the context of the growing development of automated vehicles. In this matter, particular attention shall be paid to the safety of vulnerable road users.

- Developing and harmonizing international traffic regulations is crucial in order to support the safe, homogeneous, and consistent development of automated and autonomous vehicles in road traffic.

- The Group may usefully consider previous achievements of WP.1 as a basis of reference, including the Resolution on the deployment of highly and fully automated vehicles in road traffic (adopted at the seventy-seventh session of the WP.1 in September 2018).

- The Group will hold at least two formal plenary meetings per year at the UNECE premises in Geneva. The first meeting of the Group will include an initial section on official matters (Election of officers; Eventual complementary addition with reference to the Rules of procedure; etc.) but should then start working towards its main output.

- Considering that the subject of automated vehicles in traffic is still rather recent and constantly evolving, the Group may find it necessary to invite and listen to a wide range of qualified experts. The expertise of the colleagues at the World Forum for harmonization of vehicle regulations (WP.29), and in particular those at the Working Party on Automated/Autonomous and Connected Vehicles (GRVA), could notably help the Group with its tasks. Activities of the Group could include undertaking studies and advisory sessions; organizing seminars and workshops; collecting data; and providing information.

- The time schedule for the implementation of the Group’s objectives and activities shall initially include the full period for which it has been established. At the end of this period, the Group submits a full report on its accomplishments to its supervising body (i.e., the Global Forum for Road Traffic Safety), possibly including a request for extension of the duration of the Group.

- The baseline identified for the Group is a thorough analysis of the 1949 and 1968 Conventions on Road Traffic, aimed at identifying how the new legal instrument can complement in the best possible way the aforementioned Conventions without restricting the current margin of manoeuvre of Contracting Parties.

- The milestones of the Group should include, amongst others, the following:

(a) The successful completion of its establishment by electing its officers, and by eventually complementing documents ECE/EX/2/Rev.1 and TRANS/WP1/100/Add.1 by a further set of rules of procedures;

(b) The successful completion of the aforementioned analysis of the 1949 and 1968 Conventions on Road Traffic;

(c) The drafting of an initial set of necessary legal provisions for the safe deployment of automated vehicles in international traffic;

(d) Periodical consultations with the Global Forum for Road Traffic Safety (WP.1), not fewer than two per year (coinciding with the regular WP.1 sessions);

(e) At the end of the period for which it has been established, the submission of a full report on its accomplishments to the supervising body.

3. France and Germany conclude that a legal instrument on the use of automated vehicles in traffic shall complement in the best possible way the 1949 and 1968 Conventions on Road Traffic, in order to support the safe, homogeneous, and consistent development of automated vehicles in road traffic, without restricting the current margin of manoeuvre of Contracting Parties.

Economic Commission for Europe Inland Transport Committee Global Forum for Road Traffic Safety Group of Experts on drafting a new legal instrument on the use of automated vehicles in traffic

First session Geneva, 1 September 2021 Item 4 of the provisional agenda Programme of Work

Joint position statement regarding the programme of work of the Group of Experts on drafting a new legal instrument on the use of automated vehicles in traffic

Submitted by the representatives of France and Germany

This document proposes discussion elements for the programme of work of the Group of Experts (GoE) on drafting a new Legal Instrument on the use of Automated Vehicles in traffic (LIAV), hereunder “the Group”.

Informal document No. 1 (GE.3-01-01) Distr.: General

27 August 2021 Original: English

Informal document No. 6

2

1. Following the invitation to the first session of the GoE on LIAV by the secretariat, supported by documents ECE/TRANS/WP.1/GE.3/2021/1 (annotated provisional agenda), Annex III to ECE/TRANS/2021/6 (Terms of Reference (ToR) of the GoE on LIAV), ECE/EX/2/Rev.1 (Guidelines for the establishment and functioning of teams of specialists within UNECE) and ECE/TRANS/WP.1/100/Add. 1 (ToR of the Global Forum for Road Traffic Safety (WP.1)), France and Germany, with the present document, would like to share their views and, by doing so, open discussions of the above-mentioned agenda item 4 during this session.

2. Germany and France support the points listed hereafter:

- As established by the ToR, the main objective to be achieved is the drafting of a new legal instrument which is expected to complement the 1949 and 1968 Conventions on Road Traffic. In addition to the typical sections on definitions and final clauses, it will include a set of legal provisions for the safe deployment of automated vehicles in international traffic.

- In full compliance with the objectives of the Global Forum for Road Traffic Safety (WP.1), the Group should seek to promote road safety, in the context of the growing development of automated vehicles. In this matter, particular attention shall be paid to the safety of vulnerable road users.

- Developing and harmonizing international traffic regulations is crucial in order to support the safe, homogeneous, and consistent development of automated and autonomous vehicles in road traffic.

- The Group may usefully consider previous achievements of WP.1 as a basis of reference, including the Resolution on the deployment of highly and fully automated vehicles in road traffic (adopted at the seventy-seventh session of the WP.1 in September 2018).

- The Group will hold at least two formal plenary meetings per year at the UNECE premises in Geneva. The first meeting of the Group will include an initial section on official matters (Election of officers; Eventual complementary addition with reference to the Rules of procedure; etc.) but should then start working towards its main output.

- Considering that the subject of automated vehicles in traffic is still rather recent and constantly evolving, the Group may find it necessary to invite and listen to a wide range of qualified experts. The expertise of the colleagues at the World Forum for harmonization of vehicle regulations (WP.29), and in particular those at the Working Party on Automated/Autonomous and Connected Vehicles (GRVA), could notably help the Group with its tasks. Activities of the Group could include undertaking studies and advisory sessions; organizing seminars and workshops; collecting data; and providing information.

- The time schedule for the implementation of the Group’s objectives and activities shall initially include the full period for which it has been established. At the end of this period, the Group submits a full report on its accomplishments to its supervising body (i.e., the Global Forum for Road Traffic Safety), possibly including a request for extension of the duration of the Group.

- The baseline identified for the Group is a thorough analysis of the 1949 and 1968 Conventions on Road Traffic, aimed at identifying how the new legal instrument can complement in the best possible way the aforementioned Conventions without restricting the current margin of manoeuvre of Contracting Parties.

- The milestones of the Group should include, amongst others, the following:

(a) The successful completion of its establishment by electing its officers, and by eventually complementing documents ECE/EX/2/Rev.1 and TRANS/WP1/100/Add.1 by a further set of rules of procedures;

(b) The successful completion of the aforementioned analysis of the 1949 and 1968 Conventions on Road Traffic;

(c) The drafting of an initial set of necessary legal provisions for the safe deployment of automated vehicles in international traffic;

Informal document No. 61

3

(d) Periodical consultations with the Global Forum for Road Traffic Safety (WP.1), not fewer than two per year (coinciding with the regular WP.1 sessions);

(e) At the end of the period for which it has been established, the submission of a full report on its accomplishments to the supervising body.

3. France and Germany conclude that a legal instrument on the use of automated vehicles in traffic shall complement in the best possible way the 1949 and 1968 Conventions on Road Traffic, in order to support the safe, homogeneous, and consistent development of automated vehicles in road traffic, without restricting the current margin of manoeuvre of Contracting Parties.

Industrial accident in Leverkusen is reminder of continuous need to invest in prevention and preparedness for response

On 27 July 2021 around 9:40 am, a major explosion at the 480 hectare Chempark in Leverkusen, Germany, shocked the local population within a radius of 40km who heard and felt the detonation – and even beyond that, as the toxic plume was still visible in Dortmund, nearly 80 km away. The explosion killed 5 employees and injured 31 workers, with two persons still being missing. Due to the possible release of dioxins many were reminded of the Seveso accident of 1976 in Italy.

(Germany) Proposal to amend UN Regulation No. 13 (Heavy vehicle braking) based on GRVA-09-04

Languages and translations
English

Submitted by the experts of Germany Informal document GRVA-10-08 10th GRVA, 25-28 May 2021

Provisional agenda item 8(c)

GRVA-10-08

Proposal to amend UN Regulation No. 13 (Heavy vehicle braking)

Amendments to GRVA-09-04

Modifications to UN Regulation No. 13 (as proposed in document GRVA-09-04) are marked in bold. New amendments in this proposal are marked in red bold for new or in red strikethrough for deleted characters.

I. Proposal

Paragraph 5.1.2.3., amend to read:

5.1.2.3. Parking braking system

The parking braking system shall make it possible to hold the vehicle stationary on an up or down gradient even in the absence of the driver, the working parts being then held in the locked position by a purely mechanical device. The driver shall be able to achieve this braking action from his driving seat, subject, in the case of a trailer, to the provisions of paragraph 5.2.2.10. of this Regulation.

If the vehicle is equipped with an electrical(ly) controlled parking braking system the parking brake shall be activated at least when the engine has stopped by turning the ignition (start) switch to the “off” position, for vehicle category N and M.

Additionally, for vehicles of category N, the parking brake shall be also activated, if the driver is deemed to leave the cabin without proper activation of the parking brake.

The purpose to leave the cabin may be confirmed, e.g. by opening of the door on driver side whilst the vehicle is stationary or by leaving the seat.

The automatic activation of the parking brake may be suppressed by the driver with a dedicated action (e.g. by pedal actuation or by a switch) or during maintenance operations.

The trailer air brake and the parking braking system of the towing vehicle may be operated simultaneously provided that the driver is able to check, at any time, that the parking brake performance of the vehicle combination, obtained by the purely mechanical action of the parking braking system, is sufficient.

5.2.1.26. Special additional requirements for the electric transmission of the parking braking system

Paragraph 5.2.1.26.4., amend to read:

5.2.1.26.4. After the ignition/start switch which controls the electrical energy for the braking equipment has been switched off and/or the key removed, it shall remain possible to apply the parking braking system shall be automatically applied at least when the vehicle is detected to be stationary , whereas releasing shall be prevented.

Additionally, the parking brake shall be automatically applied once the driver is deemed to leave the driving seat (e.g. via a detection of door opening, unfastening of seat belt) at least when the vehicle is detected to be stationary. Alternatively, for vehicles of category M, the parking brake shall be automatically applied when the vehicle is detected to be stationary with no input to any control by the driver nor any brakes applied for a time greater than 30 seconds.

However, the automatic application of the parking braking system may be suppressed by the driver (e.g. during maintenance operation, manoeuvring situations, to avoid park brake freezing in winter conditions) with a dedicated action (e.g. by pedal actuation, a switch). In that case, it shall remain possible to apply the parking braking system, whereas releasing shall be prevented.

However, The parking braking system may also be released when this action is part of an operation of a remote control system fulfilling the technical requirements of an ACSF of Category A as specified in the 02 series of amendments to UN Regulation No. 79 or later series of amendments.

Paragraph 12, amend to read:

12. Transitional provisions

12.1. As from the official date of entry into force of the 12 series of amendments, no Contracting Party applying this Regulation shall refuse to grant or refuse to accept type approvals under this Regulation as amended by the 12 series of amendments.

12.2. As from [1 September 2024], Contracting Parties applying this Regulation shall not be obliged to accept type approvals to the preceding series of amendments, first issued after [1 September 2024].

12.3. Until [1 September 2026], Contracting Parties applying this Regulation shall accept type approvals to the preceding series of amendments, first issued before [1 September 2024].

12.4. As from [1 September 2026], Contracting Parties applying this Regulation shall not be obliged to accept type approvals issued to the preceding series of amendments to this Regulation.

12.5. Notwithstanding paragraph 12.4, Contracting Parties applying this Regulation shall continue to accept type approvals issued according to the preceding series of amendments to this Regulation, for the vehicles which are not affected by the changes introduced by the 12 series of amendment.

12.6. Contracting Parties applying this Regulation may grant type approvals according to any preceding series of amendments to this Regulation.

12.7. Contracting Parties applying this Regulation shall continue to grant extensions of existing approvals to any preceding series of amendments to this Regulation.”

Annex 4, paragraph 2.3, amend to read:

2.3. Parking braking system

2.3.1. The parking braking system shall, even if it is combined with one of the other braking systems, be capable of holding the laden vehicle stationary on an 18 per cent up or down-gradient.

2.3.2. On vehicles to which the coupling of a trailer is authorized, the parking braking system of the towing vehicle shall be capable of holding the combination of vehicles stationary on a 12 per cent up or down-gradient.

2.3.3. If the control is manual, the force applied to it shall not exceed 60 daN.

2.3.4. If it is a foot control, the force exerted on the control shall not exceed 70 daN.

2.3.5. A parking braking system which has to be actuated several times before it attains the prescribed performance is admissible.

2.3.6. To check compliance with the requirement specified in paragraph 5.2.1.2.4. of this Regulation, a Type-0 test shall be carried out with the engine disconnected at an initial test speed of 30 km/h. The mean fully developed deceleration on application of the control of the parking brake system and the deceleration immediately before the vehicle stops shall not be less than 1.5 m/s2. The test shall be carried out with the laden vehicle. The force exerted on the braking control device shall not exceed the specified values.

2.3.7. To check the compliance with the requirements specified in paragraph 5.1.2.3 5.2.1.26.4. of this Regulation, the automatic activation of the parking brake shall be checked by stopping the engine and additionally by leaving the cabin against the declared activation criteria and/or for vehicles of category M by not operating any controls nor any brakes for a duration of at least 30 s turning the ignition (start) switch to the “off” position and/or additionally, for vehicles of category N, by leaving the cabin, if the vehicle is equipped with a electrical(ly) controlled parking braking system.

II. Justification

1. Paragraph 5.1.2.3. is dedicated to general requirements. Detailed technical requirements dedicated to the electric transmission of the parking braking system should be part of paragraph 5.2.1.26. Additionally, an “electrically controlled parking braking system” is not defined in UN Regulation No. 13. Moving the requirements to paragraph 5.2.1.26 would solve that issue.

2. To take into account the situation of vehicles of Category M, where the driver not being in the driver seat is a greater safety problem then the driver leaving the cabin, those vehicles shall activate the electric parking brake when the vehicle is stationery and either no input to the controls is observed nor any brake is operated for at least 30 seconds.

1

Submitted by the experts of Germany Informal document GRVA-10-08 10th GRVA, 25-28 May 2021

Provisional agenda item 8(c)

Proposal to amend UN Regulation No. 13 (Heavy vehicle braking)

Amendments to GRVA-09-04

Modifications to UN Regulation No. 13 (as proposed in document GRVA-09-04) are marked in bold. New amendments in this proposal are marked in red bold for new or in red strikethrough for deleted characters.

I. Proposal

Paragraph 5.1.2.3., amend to read:

5.1.2.3. Parking braking system

The parking braking system shall make it possible to hold the vehicle stationary on an up or down gradient even in the absence of the driver, the working parts being then held in the locked position by a purely mechanical device. The driver shall be able to achieve this braking action from his driving seat, subject, in the case of a trailer, to the provisions of paragraph 5.2.2.10. of this Regulation.

If the vehicle is equipped with an electrical(ly) controlled parking braking system the parking brake shall be activated at least when the engine has stopped by turning the ignition (start) switch to the “off” position, for vehicle category N and M.

Additionally, for vehicles of category N, the parking brake shall be also activated, if the driver is deemed to leave the cabin without proper activation of the parking brake.

The purpose to leave the cabin may be confirmed, e.g. by opening of the door on driver side whilst the vehicle is stationary or by leaving the seat.

The automatic activation of the parking brake may be suppressed by the driver with a dedicated action (e.g. by pedal actuation or by a switch) or during maintenance operations.

The trailer air brake and the parking braking system of the towing vehicle may be operated simultaneously provided that the driver is able to check, at any time, that the parking brake performance of the vehicle combination, obtained by the purely mechanical action of the parking braking system, is sufficient.

5.2.1.26. Special additional requirements for the electric transmission of the parking braking system

Paragraph 5.2.1.26.4., amend to read:

5.2.1.26.4. After the ignition/start switch which controls the electrical energy for the braking equipment has been switched off and/or the key removed, it shall remain possible to apply the parking braking system shall be automatically applied at least when the vehicle is detected to be stationary, whereas releasing shall be prevented.

Additionally, the parking brake shall be automatically applied once the driver is deemed to leave the driving seat (e.g. via a detection of door opening, unfastening of seat belt) at least when the vehicle is detected to be stationary. Alternatively, for vehicles of category M, the parking brake shall be automatically applied when the vehicle is detected to be

GRVA-10-08

stationary with no input to any control by the driver nor any brakes applied for a time greater than 30 seconds.

However, the automatic application of the parking braking system may be suppressed by the driver (e.g. during maintenance operation, manoeuvring situations, to avoid park brake freezing in winter conditions) with a dedicated action (e.g. by pedal actuation, a switch). In that case, it shall remain possible to apply the parking braking system, whereas releasing shall be prevented.

However, The parking braking system may also be released when this action is part of an operation of a remote control system fulfilling the technical requirements of an ACSF of Category A as specified in the 02 series of amendments to UN Regulation No. 79 or later series of amendments.

Paragraph 12, amend to read:

12. Transitional provisions

12.1. As from the official date of entry into force of the 12 series of amendments, no Contracting Party applying this Regulation shall refuse to grant or refuse to accept type approvals under this Regulation as amended by the 12 series of amendments.

12.2. As from [1 September 2024], Contracting Parties applying this Regulation shall not be obliged to accept type approvals to the preceding series of amendments, first issued after [1 September 2024].

12.3. Until [1 September 2026], Contracting Parties applying this Regulation shall accept type approvals to the preceding series of amendments, first issued before [1 September 2024].

12.4. As from [1 September 2026], Contracting Parties applying this Regulation shall not be obliged to accept type approvals issued to the preceding series of amendments to this Regulation.

12.5. Notwithstanding paragraph 12.4, Contracting Parties applying this Regulation shall continue to accept type approvals issued according to the preceding series of amendments to this Regulation, for the vehicles which are not affected by the changes introduced by the 12 series of amendment.

12.6. Contracting Parties applying this Regulation may grant type approvals according to any preceding series of amendments to this Regulation.

12.7. Contracting Parties applying this Regulation shall continue to grant extensions of existing approvals to any preceding series of amendments to this Regulation.”

Annex 4, paragraph 2.3, amend to read:

2.3. Parking braking system

2.3.1. The parking braking system shall, even if it is combined with one of the other braking systems, be capable of holding the laden vehicle stationary on an 18 per cent up or down-gradient.

2.3.2. On vehicles to which the coupling of a trailer is authorized, the parking braking system of the towing vehicle shall be capable of holding the combination of vehicles stationary on a 12 per cent up or down-gradient.

2.3.3. If the control is manual, the force applied to it shall not exceed 60 daN.

2.3.4. If it is a foot control, the force exerted on the control shall not exceed 70 daN.

2.3.5. A parking braking system which has to be actuated several times before it attains the prescribed performance is admissible.

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2.3.6. To check compliance with the requirement specified in paragraph 5.2.1.2.4. of this Regulation, a Type-0 test shall be carried out with the engine disconnected at an initial test speed of 30 km/h. The mean fully developed deceleration on application of the control of the parking brake system and the deceleration immediately before the vehicle stops shall not be less than 1.5 m/s2. The test shall be carried out with the laden vehicle. The force exerted on the braking control device shall not exceed the specified values.

2.3.7. To check the compliance with the requirements specified in paragraph 5.1.2.3 5.2.1.26.4. of this Regulation, the automatic activation of the parking brake shall be checked by stopping the engine and additionally by leaving the cabin against the declared activation criteria and/or for vehicles of category M by not operating any controls nor any brakes for a duration of at least 30 s turning the ignition (start) switch to the “off” position and/or additionally, for vehicles of category N, by leaving the cabin, if the vehicle is equipped with a electrical(ly) controlled parking braking system.

II. Justification

1. Paragraph 5.1.2.3. is dedicated to general requirements. Detailed technical requirements dedicated to the electric transmission of the parking braking system should be part of paragraph 5.2.1.26. Additionally, an “electrically controlled parking braking system” is not defined in UN Regulation No. 13. Moving the requirements to paragraph 5.2.1.26 would solve that issue.

2. To take into account the situation of vehicles of Category M, where the driver not being in the driver seat is a greater safety problem then the driver leaving the cabin, those vehicles shall activate the electric parking brake when the vehicle is stationery and either no input to the controls is observed nor any brake is operated for at least 30 seconds.

Aarhus TFAJ - study on access to justice in information cases

The study on access to justice in information cases has been prepared and discussed under auspices of the Task Force on Access to Justice under the UNECE Convention on Access to Information, Public Participation in Decision-making and Access to Justice in Environmental Matters (the Aarhus Convention).

Languages and translations
English

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Jan Darpö Chair of the Task Force on Access to Justice under the Aarhus Convention Contacts: e-mail [email protected] *******

2021-02-28

This document is a report by Professor Jan Darpö, Uppsala Universitet, the Chair of the Task Force on Access to Justice under the Aarhus Convention. Viewpoints expressed in the report belong to the author; the same can be said about shortcomings and errors in the text, the responsibility rests solely on him.

Access to Justice in Information Cases Table of contents

1. INTRODUCTION ................................................................................................................................................... 2

1.1 The study and the synthesis report ......................................................................................................... 2 1.2 Article 9.1 of the Aarhus Convention in text and practice ....................................................................... 4

Article 9.1 first sentence ............................................................................................................................................. 4 Article 9.1 second sentence ........................................................................................................................................ 6 Article 9.1 third sentence ........................................................................................................................................... 8

2. QUESTIONS CONCERNING ACCESS TO JUSTICE IN CASES ON THE RIGHT TO ENVIRONMENTAL INFORMATION: ........................... 9 3. REMARKS AND DISCUSSION .................................................................................................................................. 17

Introduction .............................................................................................................................................................. 17 Unproblematic issues ............................................................................................................................................... 17 Barriers and challenges ............................................................................................................................................ 18 Good examples and interesting features in the studied Parties ............................................................................... 19

CONCLUDING REMARKS .......................................................................................................................................... 20

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1. Introduction

1.1 The study and the synthesis report The Task Force on Access to Justice has a role to play as a platform for studies and meetings where all aspects of the third pillar of the Aarhus Convention can be discussed. This role as a mere facilitator for a wider debate without any formal significance is in fact the strength of this body under the Convention. Under those terms, the Task Force was mandated by the sixth session of the Meeting of the Parties to the Aarhus Convention in Budva (Montenegro) in 2017 to launch a study concerning access to justice in information cases according to Arti- cles 4, 9.1 and 9.4 of the Convention. Thus, the study deals with procedural issues concerning requests for environmental information and the possibilities open for members of the public to have the decision-making of the authorities and other public bodies holding such information challenged by way of administrative appeal and judicial review in a court of law. The relevant sections of Article 4 are the following (emphasis added):

1. Each Party shall ensure that, subject to the following paragraphs of this article, public authorities, in response to a request for environmental information, make such infor- mation available to the public, within the framework of national legislation, including, where requested and subject to subparagraph (b) below, copies of the actual documenta- tion containing or comprising such information:

(a) Without an interest having to be stated;

(b) In the form requested unless:

(i) It is reasonable for the public authority to make it available in another form, in which case reasons shall be given for making it available in that form; or

(ii) The information is already publicly available in another form.

2. The environmental information referred to in paragraph 1 above shall be made availa- ble as soon as possible and at the latest within one month after the request has been sub- mitted, unless the volume and the complexity of the information justify an extension of this period up to two months after the request. The applicant shall be informed of any ex- tension and of the reasons justifying it.

3. (…)

4. (…)

5. Where a public authority does not hold the environmental information requested, this public authority shall, as promptly as possible, inform the applicant of the public authori- ty to which it believes it is possible to apply for the information requested or transfer the request to that authority and inform the applicant accordingly.

6. (…)

7. A refusal of a request shall be in writing if the request was in writing or the applicant so requests. A refusal shall state the reasons for the refusal and give information on ac- cess to the review procedure provided for in accordance with article 9. The refusal shall be made as soon as possible and at the latest within one month, unless the complexity of

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the information justifies an extension of this period up to two months after the request. The applicant shall be informed of any extension and of the reasons justifying it.

8. Each Party may allow its public authorities to make a charge for supplying information, but such charge shall not exceed a reasonable amount. Public authorities intending to make such a charge for supplying information shall make available to applicants a sched- ule of charges which may be levied, indicating the circumstances in which they may be levied or waived and when the supply of information is conditional on the advance pay- ment of such a charge.

Article 9.1 states as follows (emphasis added):

1. Each Party shall, within the framework of its national legislation, ensure that any per- son who considers that his or her request for information under article 4 has been ignored, wrongfully refused, whether in part or in full, inadequately answered, or otherwise not dealt with in accordance with the provisions of that article, has access to a review proce- dure before a court of law or another independent and impartial body established by law.

In the circumstances where a Party provides for such a review by a court of law, it shall ensure that such a person also has access to an expeditious procedure established by law that is free of charge or inexpensive for reconsideration by a public authority or review by an independent and impartial body other than a court of law.

Final decisions under this paragraph 1 shall be binding on the public authority holding the information. Reasons shall be stated in writing, at least where access to information is re- fused under this paragraph.

Further, Article 9.4 puts additional requirements on the access to justice possibilities under Article 9.1, namely (emphasis added):

4. In addition and without prejudice to paragraph 1 above, the procedures referred to in paragraphs 1, 2 and 3 above shall provide adequate and effective remedies, including in- junctive relief as appropriate, and be fair, equitable, timely and not prohibitively expen- sive. Decisions under this article shall be given or recorded in writing. Decisions of courts, and whenever possible of other bodies, shall be publicly accessible.

For this study, a draft questionnaire was discussed by the Task Force on its 11th meeting in Geneva in February 2018. The questionnaire deals with procedural matters concerning re- quests for and review of environmental information relating to both Article 4 and Article 9.1. After the 11th meeting of the Task Force, the questionnaire was concluded and distributed by the secretariat to a number of key institutions, experts and non-governmental organizations from 13 Parties to the Convention in the spring of 2018 as suggested by their national focal points. The aim was to cover a limited number of Parties, representing the different Parties and sub-regions, including: (a) the European Union (EU) together with six of its Member States, namely Germany (DE), Ireland (IE), Portugal (PT), Slovakia (SK), Malta (MT), and Sweden (SE); (b) Switzerland (CH); (c) Serbia (RS) and Montenegro (ME) from South- Eastern Europe; (d) the Republic of Moldova (MD) from Eastern Europe; (e) Georgia (GE) from the Caucasus and (f) Kazakhstan (KZ) from Central Asia. The institutions which were addressed included relevant ministries, administrative authorities, specialized bodies such as the Parliamentary Ombudsman and Information Commissioner, national courts, public stake- holders and their organisations (ENGOs) and academia. During the fall of 2018, we received

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completed questionnaires from 12 out of the 13 Parties.1 Of course, the responses vary in cov- erage and quality. This is mainly due to the number of responses from each Party, ranging from 4 (SE), 3 (IE, RS and SK), 2 (EU, GE, KZ and PT) and down to 1 (DE, MD, ME and CH). The quality of the answers from a studied Party improves noticeable when there are many respondents from a variety of actors dealing with environmental information matters. The first draft of this report was initially set up to summarize the responses given in order to provide a platform for discussion on the 12th meeting of the Task Force on Access to Justice (Geneva, 28 February – 1 March 2019). Thereafter, comments made during that meeting were incorporated in the report, as well as those submitted to the secretariat during the following months. The report was then discussed at the Bureau meetings in June and September 2019, after which the report was updated and communicated once more with the National Focal Points and other stakeholders to the Convention in the beginning of 2020.2 After this round of communications, further corrections, clarifications and amendments have been made. It must be noted, however, that owing to the conflicting nature of several comments, it has not been possible to reflect all of them in the text. Instead, I have tried to clearly state where differing opinions have been reported on a certain issue, giving a general picture of the arguments used. Careful consideration has also been given to meeting the different needs of Parties’ in terms of comprehensiveness and the degree of detail, bearing in mind the various levels of and ap- proaches to implementation of the Convention’s provisions on access to justice in information cases. The progress in preparing the report was presented at the online information sessions of the twenty fourth meeting of the Working Group of the Parties in July 2020. After the meet- ing, we received some further comments on the representation of the responses in the study, as well as the level of detail on controversial issues. The final text of the report was discussed and finalized on the 13th meeting of the Task Force on Access to Justice (hybrid, Geneva, 15- 16 February 2021).3 The report is structured as follows. In addition to this introduction and the laying out of the legal context in Article 9.1 (part 1), it contains a summary of the responses under each of the twelve questions posed (part 2). Thereafter I make a couple of remarks in a concluding sec- tion about good examples, main barriers and discussion points on access to justice in infor- mation cases (part 3). Finally, the viewpoints expressed in the report belong to the author only. The same can be said about shortcomings and errors in the text, the responsibility rests solely on me.

1.2 Article 9.1 of the Aarhus Convention in text and practice

Article 9.1 first sentence The study has triggered a couple of questions concerning the implementing of Article 9.1 of the Convention that can usefully be highlighted already in the beginning. The aim here is, however, not to give clear answers to the issues raised, but rather to provide a platform for

1 The responses received are available from https://unece.org/environment-policy/public-participation/aarhus- convention/analytical-study-ajai-surveyresponses 2 The comments received are available from https://unece.org/environment-policy/public-participation/aarhus- convention/analytical-study-ajai-commentsreceived 3 See https://unece.org/environmental-policy/events/thirteenth-meeting-task-force-access-justice-under-aarhus- convention

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further discussion. As with the previous studies performed by the Task Force on Access to Justice, ambiguities in the text of the Convention will be pointed at, along with ongoing is- sues, and conclusions will be drawn from existing legal sources using a traditional method of law. The responsibility for resolving any issues raised obviously lies in the hands of other bodies, namely the Compliance Committee and the Meeting of the Parties to the Convention. As noted in the beginning of this report, the first sentence of Article 9.1 requires Parties to the Convention to provide the person requesting environmental information with recourse to chal- lenge the authority’s decision on the matter in a court of law or another independent and im- partial body established by law. The same expression can be found in Article 9.2 of the Con- vention and is reflected in the EU’s implementation legislation on Article 9.1, namely Article 6 of the Environmental Information Directive (2003/4, EID4). It is widely believed that this expression equates to “any court or tribunal” in Article 267 TFEU, as well as “an independent and impartial tribunal established by law” in Article 6 European Convention of Human Rights and Fundamental Freedoms (ECHR), requiring a fair trial.5 It also goes without saying that these expressions are “autonomous”, meaning that the national label on the reviewing body is of no importance when evaluating its independence and impartiality.6 As a consequence, the first sentence of Article 9.1 calls for a review mechanism performed by such a body, irrespec- tive of how it is named in the national legal system. Furthermore, Article 9.1 requires that any person has access to a court or tribunal in order to challenge a refusal on a request for environmental information. To date, the Compliance Committee has found non-compliance under Article 9.1 concerning who entitled to make such a request in only one case and that was the early communication ACCC/C/2004/1.7 This gen- eral picture is confirmed in the present study as there are no issues reported concerning appli- cants for environmental information in this respect. In fact, as all members of the public irre- spective of nationality, residence or other belonging are allowed to make such a request with- out stating an interest, one may note that “standing” according to Article 9.1 is very different from standing in a more traditional sense, meaning the delimitation of those who are con- cerned by a decision or omission. This distinction is reflected in the two definitions of the concepts “the public” and “the public concerned” in Article 2.4 and Article 2.5 respectively. Thus, when Article 4 refers to “the public”, this means that all natural or legal persons and

4 Directive 2003/4/EC of the European Parliament and of the Council of 28 January 2003 on public access to environmental information and repealing Council Directive 90/313/EEC. 5 See for example The Aarhus Convention – An Implementation Guide, UNECE 2nd ed. 2014 (cit. “Implementa- tion Guide 2014”) at page 189. 6 For a discussion about the meaning of the expression court of law or another independent and impartial body established by law, see the Implementation Guide 2014, at pages 188-189, also Darpö, J: Environmental Justice through the Courts. From Environmental Law and Justice in Context (Eds. Ebbesson & Okowa). Cambridge University Press 2009, p. 176-194. 7 Findings of the Aarhus Convention Compliance Committee on communications ACCC/C/2004/1 (Kazakhstan) (ECE/MP.PP/C.1/2005/2/Add.1), ACCC/C/2008/30 (Republic of Moldova) (ECE/MP.PP/C.1/2009/6/Add.3), ACCC/C/2012/69 (Romania) (ECE/MP.PP/C.1/2015/10) and ACCC/C/2013/93 (Norway) (ECE/MP.PP/C.1/2017/16) seem to be the most important cases on access to environmental information, howev- er mostly dealing with the definition of environmental information, grounds for refusal, timeliness and weak enforcement. The documents and other information are available at: https://unece.org/env/pp/cc/communications-from-the-public

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their associations, organisations and groups have the right to make a request for environmen- tal information.8 Although not explicitly stated in the first sentence of Article 9.1, the review required here covers both procedural and substantive issues under Article 4.9 As one cannot really draw a clear distinction between the two aspects, it is hard to imagine what a review covering only one of them would actually look like. Although this issue has not really been examined by the Compliance Committee, the Court of Justice of the European Union (CJEU) confirmed in case C-71/14 East Sussex (2015) – which concerned the requirements for access to environ- mental information according to the EID (2003/4) – that judicial procedures in the Member States must enable the national court “to apply effectively the relevant principles and rules of EU law when reviewing the lawfulness” of an administrative decision to deny such access.10 Although this court has no direct competence to interpret the Aarhus Convention, its case-law on the implementation in the Member States provides us with “state practice” concerning the obligations therein.11

Article 9.1 second sentence According to the second sentence of Article 9.1 of the Aarhus Convention, if the review under the first sentence of Article 9.1 is provided by a court of law, the unsuccessful applicant shall also have access to an expeditious procedure for reconsidering by a public authority or review by an independent and impartial body other than a court of law. The understanding of what body and in what way the alternative procedure shall be performed is thus of importance here. According to the text, it shall either consist of “reconsideration by a public authority” or a “review by an independent and impartial body other than a court of law”. This issue was touched upon in communication ACCC/C/2013/93, where the Compliance Committee stated in its findings:

The Committee considers that, under the legal framework of the Party concerned, the Par- liamentary Ombudsman is an inexpensive, independent and impartial body established by law through which members of the public can request review of an information request made under article 4 of the Convention. The Committee therefore finds that the Parlia- mentary Ombudsman of the Party concerned constitutes a review procedure within the scope of the second sentence of article 9, paragraph 1, of the Convention. 12

Here, it can be noted that the recommendations by the Parliamentary Ombudsman are not binding, although normally respected by the authorities. In communication ACCC/C/2013/93, the time taken for the Ombudsman’s review was at issue. When deciding this, the Compliance Committee applied both the requirement for expediency in the second sentence of Article 9.1 and the general timeliness criterion in Article 9.4. All in all, the time span between the request to the Ombudsman for review of the Government’s refusal to disclose the information and the

8 The Implementation Guide 2014 at page 191. 9 The Implementation Guide 2014 at page 191. 10 C-71/14 East Sussex (2015) para 58. 11 Article 31(3)(b) of the Vienna Convention on the Law of Treaties (VCLT), see Wouters, J & Ryngaert, C & Ruys, T & De Baere, G: International law – A European perspective. Hart Publishing 2018, pp. 100-103. 12 Findings of the Aarhus Convention Compliance Committee on communication ACCC/C/2013/93 (Norway) (ECE/MP.PP/C.1/2017/16), para 86.

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final recommendation was two and a half years, which was found to be in breach of those requirements. In finding this, the Committee particularly noted that “nowhere in the documen- tation before it does the Ombudsman appear to have instructed the Ministry to respond within a certain time or even to request it to reply in a timely or expeditious manner”.13 However, while finding that the Party concerned had failed with the requirements to be expeditious and timely, the Committee did not make recommendations to the Party concerned, as there was no evidence that the non-compliance was due to a systematic error. 14 Even so, based on findings on communication ACCC/C/2013/93, a reasonable conclusion is that an Ombudsman institu- tion can be accepted as a review mechanism under the second sentence of Article 9.1. The rationale for the Committee’s standpoint seems to be that as long as the Party provides the appellant with the possibility of appealing to a court or tribunal, the expeditious procedure according to the second sentence of Article 9.1 may well be performed by an independent body issuing recommendations. This reasoning is also in line with the fact that according to the text in this provision, it alternatively suffices for the Parties to provide the information seeking public with access to administrative reconsideration to meet the demand for an expe- ditious procedure. Such a procedure within the administration exists in many countries and is today recognised as “good governance” in administrative law. It may be undertaken by a higher level within the hierarchy of that authority or even by a special organ created for this purpose, but it is always done “within the administration”. A certain demand for objectivity can be retrieved from the fact that Article 9.4 also applies to these alternative procedures. How far this will be drawn cannot be foreseen, as the Compliance Committee in findings on communication ACCC/C/2013/93 only elaborated on some of the criteria therein (timeliness), but not all (injunctive relief). Against this background, it is somewhat surprising that the Implementation Guide 2014 seems to understand that the independence and impartiality requirement in the second sentence of Article 9.1 applies to both administrative reconsideration and review procedures. Under the headline “Alternative to court review”, it is said that the additional review process can take several forms, including reconsideration by the public authority or review by an independent and impartial body other than a court of law. Thereafter, it is stated (emphasis added):15

Many ECE countries have some kind of general administrative reconsideration or appeals process for governmental decisions. This administrative process often functions more rap- idly than an appeal to a court and is often free of charge. Applied to review of requests for information, so long as the body is independent and impartial and established by law, such a process could satisfy the requirements of the Convention.

This statement in the Implementation Guide is not compatible with a straight-forward reading of the text in Article 9.1, or in line with any findings of the Compliance Committee. Instead, a reasonable conclusion is that it suffices for the Parties to have a system where the authorities’ decision to refuse the disclosure of environmental information is reconsidered within the ad- ministration, however under the condition that that procedure meets the Article 9.4 require- ments. Thereafter the discontented applicant must be able to rely on the possibility to go to court.

13 Ibid. paras. 89. 14 Ibid. paras. 87-92. 15 The Implementation Guide 2014 at page 192.

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Article 9.1 third sentence In the third sentence of Article 9.1, it says that final decisions under Article 9.1 shall be bind- ing on the public authority holding the information. This raises the question if all kinds of decisions can be characterised as “final” as soon as the deadline for appeal has expired, irre- spective of whether it is an administrative decision or a court judgment. According to the text in the third sentence, the binding requirement applies to all final decisions under Article 9.1, even those which result from a reconsideration procedure within the administration or a re- view by an independent body outside that administration. Thus, the wording indicates that it does not matter which body took the decision, and when, as all final decisions according to the established definition above must be binding on the authority. This is also how administra- tive reconsideration processes normally function, as the second decision replaces the first one from the information holding authority. However, such a viewpoint does not seem to follow the Compliance Committee’s findings on communication ACCC/C/2013/93, as recommendations by an Ombudsman were accepted. Instead, from that case one may conclude that the binding requirement only applies to final decisions under the first sentence of Article 9.1. This is also the impression when reading the findings of the Compliance Committee on communication ACCC/C/2008/30, where it was stated (emphasis added):16

If a public agency has the possibility not to comply with a final decision of a court of law under article 9, paragraph 1, of the Convention, then doubts arise as to the binding nature of the decisions of the courts within a given legal system. Taking into account article 9, paragraph 1, which implies that the final decisions of a court of law or other independent and impartial body established by law are binding upon and must thus be complied with by public authorities, the failure of the public authority to fully execute the final decision of the court of law implies non-compliance of the Party concerned with article 9, para- graph 1, of the Convention.

In the European Union as set out by Article 6 of EID (2003/4), the binding criteria also ap- plies only to review decisions by a court of law or another independent and impartial body. The same line of reasoning is furthermore confirmed in the Implementation Guide 2014.17 Based on the above, it can be concluded that the Ombudsman institution or an Information Commissioner may be regarded as review procedures according to the first sentence of Article 9.1, but only if its decisions are binding on the information holding authority. On the other hand, when these institutions can issue recommendations only, they still may well be accepted as alternative complaint procedures under the second sentence of that provision.

16 Findings of the Aarhus Convention Compliance Committee on communication ACCC/C/2008/30 (Republic of Moldova) (ECE/MP.PP/C.1/2009/6/Add.3), para. 35. 17 The Implementation Guide 2014 at page 189, see also at page 193 about the requirement according to Article 9.1 to provide with – in addition to any advisory processes – a possibility for the applicant to obtain a decision which is binding upon the information holding authority.

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2. Questions concerning access to justice in cases on the right to environmental information:

1. Please indicate time limits for public authorities holding environmental information to re- spond to requests for environmental information. Is there a requirement for the issuance of a refusal in writing and stating reasons for the decision? How is the applicant informed about the possibilities to appeal the decision?

Summary of the responses

All the studied Parties have time frames in law for how soon a request for environmental in- formation must be answered, either by expressions such as “promptly”, “immediately” or “as soon as possible” or stated in number of days. In Swedish law, the requirement is to disclose the requested information “forthwith”. According to the Parliamentary Ombudsman, this shall be understood as a couple of days, unless special circumstances are at hand. Those Parties applying numeric criteria range from 48 hours to one month, but most lie in the range of 8, 10 or 15 calendar or working days. All of the studied Parties also leave room for extending the time frame due to reasons such as complexity, volume, the need to consult between authori- ties or to collect data, etc. The extension period commonly is the same as the first time frame, for example 15 days on top of the first 15 days. It is often stated in law that an extension must be communicated with the applicant some time before the first deadline expires. Of the stud- ied Parties, Germany, Ireland and Portugal seem to have the longest formal time frames, al- lowing up to two months in complex cases. In quite a few Parties, the consequence of not meeting the deadline is that this “silence” is regarded as either a refusal to the request or an appealable omission (EU, IE, ME, PT, MD, RS, SK, CH), enabling the applicant to appeal that “decision” by the authority. I will return to these so-called “negative silence rules” in section 3.

2. What are the time limits to appeal a decision on access to environmental information? What are the most frequently used grounds for appeal? Are there any issues concerning who has standing in such cases? To what body and in which form is the appeal made; recourse for re- view within the public authority or to the higher authority; Information Commissioner, Om- budsman or any other independent and impartial body; or directly to court of law? If appeal to the review body other than a court of law is available in any form, does that request suspend the time limits to appeal to the court? Is there a requirement of exhaustion of administrative review procedures prior to bringing the case to court?

Summary of the responses

First of all, there are no “standing issues” reported in the study. All the studied Parties allow “anyone” to request environmental information and there does not seem to be any restriction to this in administrative practice or case-law. Moreover, most Parties studied give standing to those whose interests may be impacted negatively by the disclosure of the requested infor- mation, which seems to be a reasonable point of view from an “equality of arms” perspective. It is also a requirement expressed in the EU law implementing Article 9.1 of Aarhus.18

18 See Article 6.2 in the Environmental Information Directive (2003/4).

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Appeals against decisions on a request for environmental information or appealing a failure to reply to a request can be made in a variety of ways. Commonly, there is a possibility to ask for administrative reconsideration and/or appeal to a specialized body, created for the purpose of handling complaints in information cases (information tribunals19). The time frames to bring such appeals in the studied Parties lie between 15 days and three months. In addition, there is a possibility to go to court within a similar or slightly longer time limit (one to three months). Normally, these procedures are made in succession, meaning that the reconsidera- tion process or the review in the information tribunal must be concluded before the discon- tented party can appeal to a court of law. As thus the administrative process is a prerequisite for judicial review, one can say that those systems have an “exhaustion obligation”. Under these circumstances, it is consequential that the administrative phase has a “suspensive effect” on the appeal to court, meaning that the time limit for judicial review starts not until the ad- ministrative appeal procedure is concluded. However, as the information on such an effect given in the responses is meagre, one cannot draw any firm conclusions on this issue.20 There are also exceptions to this overall picture, where the discontented applicant can either demand administrative reconsideration or go directly to court. The respondents from Kazakhstan give such an example. Further, Sweden stands out in that the applicant is instructed to go directly to court, although the appeal should be submitted to the authority that made the first decision. When the written appeal arrives to that authority, it undertakes administrative reconsideration of the decision. If the appeal is not satisfied in this procedure, the documents are forwarded to the relevant court. In this way, the administrative phase in the appeal process to court is a mandatory part in the proceedings and has a suspensive effect. According to the responses, Ireland, Montenegro, Portugal, Serbia and Switzerland have cre- ated special tribunals for dealing with complaints or appeals in information cases. The aim with setting up such bodies is to simplify and speed up the conflict handling in these cases, as well as keeping down the costs for the parties involved. Specialization seems to be another reason, as those bodies can be staffed with experts in the subject area. Decisions made by the information tribunals are commonly binding upon the administration. Besides, all or almost all of the studied Parties have an Ombudsman or a similar organ for administrative com- plaints. Unlike the information tribunals, the Ombudsman’s function is mainly disciplinary and his or her decisions are commonly regarded as recommendations only. It is also interest- ing to note that the information tribunals in Ireland, Serbia and Switzerland can undertake mediation in information cases. This is also possible in the courts of Kazakhstan and the Re- public of Moldova by way of settlements between the parties to the proceedings in infor- mation cases. I will return to the relationship between administrative reconsideration, infor- mation tribunals and judicial review, as well as mediation in section 3. This question also includes a request for information about the most common derogation grounds used in the studied Parties. However, the responses given here are too meagre to draw any real conclusions from, why we have declined to do so.

19 The term “information tribunal” is used here to cover all kinds of administrative bodies that have been created outside the information holding authorities in order to handle information cases, irrespective of their national labels. 20 However, this requirement follows from CJEUs case-law, see C-664/15 Protect (2017) where the “exhaustion criterion” was accepted under certain conditions (paras 59-81), also C-73/16 Peter Puškár (2017) para 76.

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3. If appeal is made to an independent body mentioned above, how is the independence and impartiality of that body ensured?

Summary of the responses A lack of the criteria for independence and impartiality in the posed question meant that most respondents just made a blank statement that the reviewing bodies of the Parties studies either are independent and impartial or – in some cases – quite the opposite. In most cases, little support is given for any of these viewpoints. Some of the answers, however, provide a little more food for thought. As pointed at in part 1.2, it should also be noted that the requirement for independence and impartiality does not apply to “administrative reconsideration” under the second sentence of Article 9.1, even though the procedure shall be “fair” and “equitable” according to Article 9.4. The respondent from the EU Commission states that the reconsideration by the Secretary- General of the Commission is independent and impartial, as it is done by a specific team of the Secretary-General separate from the various Directorates-General and services responsible for decision-making on access to documents upon request. According to the respondent, this is evident through statistics showing that a substantial amount of the initial decisions are total- ly or partially revised by the reviewing body. However, this is contested by ClientEarth, claiming that that body forms part of the same institution as the one responding to the infor- mation request. The German respondents inform that the special body within the administra- tion – die Wiederspruchsbehörde – is independent and impartial, as it is unheard of that the administration does not abide to its decision. Respondents from other Parties reported that the independence is guaranteed by law. However, in some of the responses, the analysis is further developed as to why the information tribunal in their country is independent and impartial from the administration. In Ireland, the reporters seem to agree that the Commissioner for Environmental Information (CEI) was created in order to have such a status and to focus on customer services, fairness, empathy and innovation. Further, the independence of the Com- mission for Access to Administrative Documents (CADA) in Portugal is guaranteed by law and its decisions cannot be altered by other authorities. CADA is chaired by a justice from the Supreme Administrative Court and consists of members from different sectors of society, who cannot be questioned or removed from their positions. Finally, the Commissioner for Infor- mation of Public Importance and Personal Data Protection in Serbia is autonomous and inde- pendent according to law. This Commissioner must not take instructions from other parts of the administration and can be made liable or be prosecuted only with the consent of the Na- tional Parliament. Without any doubt, some of these information tribunals can be regarded as independent and impartial even to the level that they would be regarded as a “court or tribunal” according to Article 6 of the ECHR. Others may not be in a formal sense, but society places such a high degree of trust in them within the administration, that the actual effect is similar. However, a conclusive evaluation on this issue cannot be done within the framework of this study, as we have not provided with any criteria for this in the questions posed. So for now at least, it will have to suffice with these remarks on the responses. For the future, it would be interesting to study this issue further in order to show good examples and discuss how the criteria according to Article 9.4 apply on these procedures.

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4. What costs (fees, charges) are connected to review before the court of law or other review bodies in these cases?

Summary of the responses To begin with, it should be noted that the question concerns litigation costs in information cases, not the costs for copying or otherwise providing the requested documents. As for the responses, they mirror the general picture among the Parties to the Convention as regards the different kinds of costs that exist in environmental litigation (court fees and other court costs, lawyers’ fees and experts’ and witness’ fees). However, the overall cost level seems to be lower compared with other kinds of environmental cases. This may of course be attributed to the fact that information cases in general are “simpler” than other environmental cases on permits, EIAs, infrastructural projects, mines, etc. Also the common requirement for the courts to deal with information cases as expediently as possible (fast-tracked, prioritized) or even to use written procedures contributes to lowering the costs. Moreover, there do not ap- pear to be any costs in the administrative appeal phase, irrespective of whether this is per- formed as administrative reconsideration or review by an information tribunal. But of course, there are also exceptions from this rule, the €50 standard fee for an appeal to the Irish CEI being one such example and can be further reduced, waivered or refunded in certain circum- stances. Concerning costs in judicial review proceedings in information cases, the responses are not very elaborate. Even so, court fees in the studied Parties seem to be common, although there are also exceptions (EU, SE). However, the fees seem to be at a rather low level, ranging from €3,50 (RS) to €70 (SK), €150 (GE) and €210-300 (IE). It also seems quite common for the studied Parties to apply exemptions or reduced fees in information cases (IE, PT). Having said that, the Loser Pays Principle (LPP) seems also to be quite common (EU, DE, CH), as well as the mandatory use of representation by a lawyer (EU, PT, CH). This may of course entail sub- stantially higher litigation costs for the losing party. In Switzerland, for example, the total cost may be as high as €1,000-€3,500 and according to the German Streitwert system, these cases may cost the unsuccessful litigant €5,000. Also one of the respondents from the EU (Cli- entEarth) claims that the litigation costs in information cases can be significant and unpredict- able, partly because the losing party can be ordered to pay the litigation costs of several inter- veners. At the other end of the spectrum, there are examples where costs do not exist in in- formation cases, or at least are very low (MD, SE). It should also be noted that it is quite common for the courts to waive litigation costs in information cases for those who are in so- cial need or for other personal reasons. In some of the studied Parties, this may also be done when the applicant for information is an ENGO (SK) or when the cases are of public interest (IE). Sometimes legal aid is available in these cases (RS, CH). 5. What is the average time needed for the court of law or another independent and impartial body to decide an information case, i.e. from the introduction of the appeal to the notification of the decision? If the national rules of appeal require administrative reconsideration before the appeal is submitted to the court of law or another review body, that time should also be also separately specified.

Summary of the responses In general, there are set time frames in law for administrative reconsideration or review. These are often rather short, ranging from 15 days to two months, but can commonly be ex-

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tended in exceptional cases. For judicial review in court, formal time frames do not seem to frequently apply, apart from general requirements for the expedient handling of information cases. In some of the studied Parties, the courts seem to successfully deal with these cases in surprisingly short periods of time. Thus, it is reported from the Republic of Moldova that in- formation cases may be concluded within 30 days. In other Parties – with or without require- ments for fast-tracking these cases – the time used in the courts range from 3 to 6 months (IE, KZ, RS, SE). In addition to this, however, there are many examples where the court proceed- ings take more than one year, sometimes several years in complicated cases (EU, GE, SK). In others, there are no statistics available for information cases as such, but only for all kinds of administrative cases. In Germany for example, the average time used in the administrative courts is slightly more than eleven months, in Serbia six months. It should finally be noted though, that there are many reports claiming that the set time frames or general requirements for expediency are often exceeded, especially when the execution phase is included. Some of the respondents claim that the whole process from the information request through the appeal procedure and further to the execution of the court order may take several years to conclude in certain cases (EU, GE, KZ, PT, RS, SK).

6. Are decisions of courts and other review bodies in information cases in writing, publicly available, binding and final? If the appeal is successful, how is the independent body’s/court’s decision enforced; by ordering the public authority to disclose the information; by disclosing the information directly; by suing the public authority if they persist in refusing to disclose the information or by any other means?

Summary of the responses In all of the studied Parties, decisions from administrative reconsideration or review proce- dures, as well as judgments from the courts are given in writing. Some of the information tri- bunals publish all their decisions online (IE, PT). Decisions from the higher levels of the court systems are also commonly published and thus available for the public at large. From the lower court levels, however, judgments are not always accessible, at least not outside fee- based private websites. Exception from this general picture are provided by the Republic of Moldova and Slovakia, where all judgments from all levels are published on the website of the Ministry of Justice. As for the enforcement, this is consistently performed by way of court orders addressed to the authority to disclose the information requested, or by quashing the administrative decision and remitting the case back to the authority with instructions. In some of the studied Parties, en- forcement is reinforced by the power for the information tribunals or the court to combine such an order with a fine for disobedience (DE, PT, ME, MD, RS). In others, it is a criminal offence not to comply with such an order (GE, ME, MD, RS, SK). In a last category, a sepa- rate enforcement procedure must be initiated by the information requester in order to have the judgment executed (KZ). However, quite a few of the responses given are merely stating that court orders must be abided to according to law, but without further details about what hap- pens in cases of disobedience. It also seems to be quite common that court orders are met by another decision from the authority not to disclose the information requested, this time apply- ing another exemption ground. It should also be noted that nearly all of the studied Parties have established an Ombudsman institution, but his or her competence is mainly disciplinary and the decisions regarded as rec- ommendations only. Against this backdrop, I think it is safe to say that the effectiveness of

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some of the legal systems is undermined by the failure to enforce the “binding decisions” of information tribunals and courts. I return to this issue in the discussion in section 3.

7. Can disciplinary, administrative or criminal sanctions be exercised against the public offi- cials if disclosure of environmental information is refused unlawfully? Would it be possible for the applicant or other members of the public to be a party to such proceedings?

Summary of the responses In most of the studied Parties, there is both disciplinary (administrative) and criminal liability for failure to comply with court orders concerning the disclosure of environmental infor- mation. One can assume that such a liability is triggered by what is called “faute grave” or serious maladministration by civil servants. A Swedish case may illustrate this, where a re- searcher in psychiatry and his assistants were fined for having destroyed documents in breach of a court order. The researcher took the case all the way to the Grand Chamber of the Euro- pean Court of Human Rights, but without success.21 The Grand Chamber found that there had been no breach of the researchers’ right to private life or his right of negative expression un- der Articles 8 and 10 of the ECHR. According to the responses received in this study, the re- questers for environmental information commonly cannot intervene as a party to the proceed- ings concerning administrative and criminal sanctions. In some Parties, refusals concerning disclosure of environmental information can also trigger civil liability (PT, RS). The information provided in the responses is however too meagre to enable any substantive conclusion on this issue. It would be interesting to know more about who may initiate such proceedings and what can be obtained from them.

8. Do you have any experience of situations/cases where individuals or ENGOs asking for environmental information have been penalized, persecuted or harassed in any way for their involvement?

Summary of the responses

There are no such experiences according to this study, save for anecdotal examples. One of the respondents from Kazakhstan claims that defamation actions are common, and even initi- ated by the administration. As this statement has not been verified by other respondents, it is hard to draw any conclusion therefrom.

9. Do you have any experience of misuse or abuse of the right to environmental information and the consequences thereof?

Summary of the responses The EU respondent says that repetitive requests are handled in a simplified manner and notes that there is a special procedure for wide ranging (in substance or in time) requests for infor- mation. To what extent these procedures have been used is however not elaborated upon. The

21 ECtHR 2012-04-03 in Case No 41723/06; Christopher Gillberg v. Sweden.

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Irish Commissioner of Environmental Information has considered some requests for infor- mation which have been regarded as unreasonable, close to misuse (sometimes referred to as “fishing trip” requests). Also in Portugal, there is some experience of repetitive requests, but not concerning environmental information. In one of the Slovak reports, it is reported that there are several cases of abuse in which the authorities have been flooded with requests for environmental information. This has been dealt with by the courts by way of applying “bully- ing law enforcement”. It would be interesting to know more about this concept.

10. In your view, what are the main barriers in your legal system concerning access to justice for the members of the public in cases on the right to environmental information?

Summary of the responses Cost issues are mentioned as a barrier to access to justice in environmental information cases from four Parties (GE, DE, IE and CH) and weak enforcement from three (GE, RS, SK). The lack of timeliness is also highlighted in responses received from three Parties, two of which relate to proceedings in court (GE, PT), and one to the absence of time frames for administra- tive reconsiderations (DE). Further barriers mentioned are lack of resources in the administra- tion (RS) or inadequate staffing of the reviewing bodies (IE), absence of specialized and knowledgeable courts (KZ, ME, RS, SK), or even independent courts (KZ). Against this background, I will expand a little on the lack of timeliness in environmental information cases in section 3.

11. Does your legal system provide with any innovative approaches concerning administra- tive and judicial review procedures in cases on the right to environmental information, for example concerning the requirement for the procedure to be expeditious, the use of alternative dispute resolutions (ADRs), costs, remedies, means for execution of review decisions on dis- closure or use of e-justice initiatives?

Summary of the responses

To begin with, it may be observed that respondents from one legal arena are not always the best equipped to answer this question, as what is everyday business for them may be very innovative for “outsiders”. This is a general experience from all comparative legal research where the phenomenon that “you cannot see the wood for the trees” is well known. An ex- ample of this in this study is when the respondent from the Irish Office for the Commissioner for Environmental Information (CEI) claims that nothing within the domestic legislation pro- vides for innovative approaches. In my view, this is quite surprising, as the CEI itself in an international comparison is an advanced information tribunal and thus very innovative. Be that as it may, the reporter from EU mentions that the European Ombudsman has a fast- track procedure for dealing with environmental information cases, according to which it takes no more than two months from complaint to decision. The German respondent highlights the in-camera procedure which enables for the reviewing court to ask a special senate within the Federal Administrative Court (Bundesverwaltungsgericht) to decide on the disclosure of cer- tain documents without revealing the content to the parties to the proceedings in environmen- tal information cases. In Sweden, the information requested can be disclosed by the court it- self if the court finds that there are no grounds for refusal. It should be noted though, that this rarely happens as most documents in the case file commonly go back to the authority. The

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possibility of undertaking mediation in information tribunals or courts is mentioned in the reports of the five studied Parties (IE, KZ, MD, RS, CH). In my view, this calls for further clarification as to what, and when, such proceedings can successfully be brought in environ- mental information cases.

12. Can you please provide us with a short description of particularly important or innovative information cases, as well as cases which illustrate the main barriers concerning access to justice in these matters.

Summary of the responses A substantial number of cases are provided in the responses received, but almost all concern issues relating to environmental information as such; the definition of “public authority” and “environmental information”, the application of exemptions from the requirement for disclo- sure, etc. Only a couple of cases seem to be related to issues concerning access to justice in information cases. For example, one report from Georgia raises the weak enforcement of court decisions ordering the disclosure of environmental information; in one case the time span between order and actual disclosure was six months, in another the request for infor- mation was made in April 2015 and the disclosure came three years thereafter, in March 2018. Further, one respondent from Slovakia claims that the court practice to remit the case back to the authority with instructions for disclosure does not always function well, as the authorities may invent new grounds for refusal. Therefore, such a system can result in an eternal “ping pong” with those cases.

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3. Remarks and discussion

Introduction In this section, I make some remarks on issues that are problematic, challenging or especially interesting from general viewpoint. As for challenges, I will focus on the time issue and en- forcement. Thereafter, I comment upon a couple of interesting features in the national legisla- tion concerning access to justice in information cases. Some of these seem very interesting and may therefore be worth studying further.

Unproblematic issues To begin with, it is worth noting that there are a couple of issues that seem to be unproblemat- ic from an access to justice perspective in environmental information cases in the 12 studied Parties. First and foremost, and as already noted, standing does not seem to be an issue in these cases as anyone can ask for environmental information without having to state an inter- est in the matter. Also other concerned persons and entities are commonly accepted as parties to the proceedings, such as those whose interests may be negatively impacted by the disclo- sure. However, this conclusion must be caveated as there may be decisions in the legal sys- tems that are not appealable at all. For example, decisions by the Swedish Government on the disclosure of environmental information cannot be brought to any court of law. A reservation was made in this respect at the signing of the Convention,22 which seems to be endorsed by the domestic courts.23 And as the questionnaire did not cover the issue of “appealability”, we cannot draw any conclusion on the existence of such decisions in the studied Parties. In addition to standing, there are also other issues concerning access to justice in information cases that seem to be less problematic based on the responses received, such as formal time frames for the administrative decision-making and reconsideration procedures. Something similar can probably be said about the review proceedings in the established information tri- bunals in the studied Parties. Having said that, this statement must also be distinguished from timeliness in practice, where the picture may be quite different. Moreover, the requirement to provide written reasoned decisions in cases concerning envi- ronmental information seems to less problematic in the studied Parties. Further, there would appear to be no costs in the administrative phase of the appeal of decisions on environmental information. Also, regarding the availability of decisions and judgments there seems to be a general fulfilment of the Aarhus Convention requirements, at least concerning those from information tribunals and courts of last instance. The power to impose administrative and even criminal sanctions for serious misconduct and maladministration seems to exist com- monly in the studied Parties, at least in theory. Further, no clear cases of harassments and defamation claims against those who request environmental information were reported. Mis- use and abuse of access to information rights seems to be slightly more common, although the evidence given in the study is mostly anecdotal. Interestingly though, the respondents from the European Commission claim that that authority has developed a specific procedure to avoid abuse and handle wide ranging requests. It would be interesting to learn more about that

22 See https://treaties.un.org/Pages/ViewDetails.aspx?src=IND&mtdsg_no=XXVII- 13&chapter=27&clang=_en#EndDec 23 Swedish Supreme Administrative Court (Högsta förvaltningsdomstolen), decision 2017-05-17 in case No 5670-16.

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procedure. On the other hand, there is also a report from the public concerned in one of the studied Parties that these kinds of specific procedures sometimes are abused by the admin- istration in order to avoid complying with court orders on disclosure of environmental infor- mation.

Barriers and challenges Based on the responses received in this study, it is safe to say that the main barriers to access to justice in information cases are the length of the procedure, weak enforcement and – to a certain extent – costs. The first issue can be illustrated by one of the responses, according to which the court procedure in that Party at first instance is expedient and effective, commonly lasting for no more than one month. On appeal, however, the procedure is slow, unpredictable and the appeal has no suspensive effect on the issue to which the environmental information relates. Examples are also given other Parties of complex cases that have taken more than 4 years from the administrative decision to the final judgment, and sometimes even more. One should also take into account that access to information can be urgent in environmental cases; for example, if the request is made in order to obtain information concerning an EIA on a permit application, the permit might already be issued at the time of the court order for disclo- sure. This is a typical example of what may be called a “case won in court, but lost on the ground”. To this background, the requirements for timeliness should be interpreted with extra care in relation to information cases.24 Therefore, this issue needs to be further discussed as a major obstacle for access to justice in environmental information cases. It is similarly evident based on the responses received that the failure to enforce orders for disclosure by information tribunals and courts is another important barrier to access to justice in information cases. Weak enforcement is widely reported in the study, occurring mainly in three situations. The first is when the information holding authority does not respond to the disclosure order, or tries to evade it with silence. The second is when the reviewing court’s competence is confined to quashing the administrative decision, which necessitates for the information applicant to make a renewed request. If then the authority finds another ground for refusal, s/he must appeal once again to the court, which may quash the decision once again, etc. Such “ping-pong” seems to be quite a common phenomenon, at least in some of the studied Parties. The third situation is when the enforcement lies in the hands of a body other than the court, or in another procedure separated from the appeal process. Contrasting to this, effective enforcement seems to be achieved when the court or tribunal deciding on the merits of the case also has the power to invoke fines for disobedience, at least as far as this power is actually used in practise. Further discussion on enforcement issues would provide us with knowledge and experience about more organisational and legal instruments to deal with this general problem of environmental law, including in information cases. Costs are always mentioned as barriers to access to justice in environmental cases, and this picture is – at least to a certain extent – confirmed in our study. As such, these cases are indis- tinguishable from other kinds of environmental cases, although as already noted, the costs in a number of studied Parties are at a lower level. On the other hand, the litigation costs in some of the studied Parties can be quite substantial. This can partly be attributed to a mandatory requirement to be represented by a lawyer in court. For now, I have little to add to this general

24 See Compliance Committee’s statement in the last sentence of paragraph 88 in findings on communication ACCC/C/2013/93 (Norway) (ECE/MP.PP/C.1/2017/16) and the Report of the Compliance Committed to the Meeting of the Parties at its sixth session (document ECE/MP.PP/2017/32, para. 70).

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discussion, except to observe that costs do not seem to be an issue in the information tribunals which some of the studied Parties have set up. As these bodies also seem to provide some solution for the other two barriers mentioned here – lack of timeliness and weak enforcement – it may be fruitful to examine how they are designed and function.

Good examples and interesting features in the studied Parties I want to draw attention to three features that I find particularly interesting in the reports from the Parties studied. To begin with, I think the information tribunals seem to be very interest- ing, as they can provide the information seeking public with an expeditious and cheap avenue for appeal of administrative decisions. Furthermore, as such bodies can be specialised on this field of law and may be equipped with a competence to undertake mediation (see below), they may provide with sufficient experience and expertise to guarantee legal certainty and swift- ness in these procedures. If they meet the criterion of being independent and impartial accord- ing to Article 6 ECHR and Article 267 TFEU, they can also ease the burden of the national court systems. Information tribunals is also a feature that has raised growing attention in in- ternational law due to the positive experiences therefrom. For example, the Organisation for Security and Cooperation in Europe Representative on Freedom of the Media recommended in 2007 to create such independent oversight bodies in its Member States.25 Further, in many of the legal systems, administrative silence is regarded as a negative decision when the deadline given in law is expired. This legal construct for dealing with “administra- tive silence” or “administrative delay” is in line with a general development of modern ad- ministrative law, not least in order to strengthen the application of EU law. The possibility for certain actors to bring a case to the CJEU in order to challenge failures to act by the insti- tutions of EU already exists in Article 265 in the Treaty on the Functioning of the European Union (TFEU). The result of such an action is that the Court declares the omission in breach of the EU Treaties. Also in secondary EU legislation, we have a number of legal constructs in order to deal with administrative omission or silence. According to Article 12 in Directive 2014/65 on markets in financial instruments, the consequence of silence from the competent authority on a notification from someone to undertake an acquisition, is that the authority has no objection to the merger. This is an example of what is a called a “positive silence rule”. Examples of the opposite – “negative silence rules”26 similar to the ones mentioned in the study – can be found in Article 10(6) of the EC Merger Regulation 139/2004. Even more rel- evant is Article 8(3) of the Regulation 1049/2001 regarding public access to European Par- liament, Council and Commission documents, which states that the failure of the institution to reply within the prescribed time limit shall be considered as a negative reply and entitle the applicant to institute court proceedings and/or make a complaint to the Ombudsman. Also in Member State laws, such negative silence rules have established roots and are today quite common.27 My general conclusion is that this legal construct – which in essence means that silence is equalled to an appealable refusal – is a good example on how to effectively deal with administrative passivity as regards access to environmental information. Having said this, there can also be drawbacks to such a system; when the information seeking public ap-

25 See Report by the OSCE Representative on Freedom of the Media on access to information by the media in the OSCE region: trends and recommendations available (30 April 2007, p. 4) at https://www.osce.org/fom/24892 26 Sometimes also called “implied dismissals” or “deemed refusals”. 27 See opinion by Advocate General Wahl in C-58/13 and C-59/13 Torresi (2014), at para 70.

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peals “silence”, the administration’s arguments against disclosure can be unknown, something that may make the procedure in court unpredictable, complicated and – not least – lengthy. The final good example concerns mediation. As noted under question 11, mediation possibili- ties are available in information cases in a number of the studied Parties, both in information tribunals and in courts. Respondents noted that an agreement reached through mediation can be effectively executed due to their status as executable documents. Further, mediation may be a useful tool in the initial phase of the proceedings, for getting the parties together, to clari- fy the controversial issues and to see whether any settlement can be reached between them. This seems very interesting and may be an issue to study further.

Concluding remarks Access to information plays a crucial role in environmental matters. Without information, the public cannot participate in the decision-making procedures in any meaningful way. It is a vital ingredient in what is regarded as “good governance” on this field of law, aiming at keep- ing the public well informed and engaged in the procedures. This way, access to information improves the transparency in the decision-making and thereby secures the environmental in- terests protected in law. It also serves as a means for improving the quality of the decision- making and thereby reduce the need for court proceedings. Against this background, it is quite surprising that access to justice in information cases has raised relatively little attention in the Aarhus discourse over the years.28 Cases concerning Article 9.1 and its implementation in the Parties to the Convention are rather few compared with those dealing with Articles 9.2 and 9.3. As already noted, the Compliance Committee has so far dealt with only three cases of interest for this study. Even if there are more cases pending as of today with the allegations concerning the implementation of Article 9.1 (e.g., see communications ACCC/C/2015/134, ACCC/C/2018/161 and ACCC/C/2019/173),29 it remains to be seen what comes out that may be of importance from an access to justice per- spective. As has been illustrated in this study, also on national level there is a limited number of court cases concerning access to justice in information cases. The same goes for infringe- ment cases and requests for preliminary rulings in the CJEU, where the vast majority of some 50 Aarhus cases deal with the implementation of Articles 9.2 and 9.3. To a certain extent, however, this general picture is balanced by the fact that there is quite a number of very inter- esting cases regarding requests for environmental information from the EU institutions that has been brought by the ENGO community by way direct action to CJEU according to Regu- lation 1049/2001. But even so, the general impression is that access to justice in information cases has not been paid the attention it merits in the public debate concerning Aarhus and its implementation in the UNECE region. The primary intention of this study has therefore been to compensate for this silence and start a wider debate on the implementation of Article 9.1 in the Parties to the Convention. It has also become quite apparent that some of the issues raised are quite contro-

28 Although it has been highlighted in other fora, such as the Council of Europe in its 2002 Recommendation on Access to Official Documents and Principle IX therein, also OSCEs 2007 review of the right of access to infor- mation in the OSCE region. For further information, see Open Society Justice Initiative: Right2info: Information Commission/ers and Other Oversight Bodies and Mechanisms; https://www.right2info.org/information- commission-ers-and-other-oversight-bodies-and-mechanisms 29 See https://unece.org/env/pp/cc/communications-from-the-public

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versial and need to be debated further. And this is where the Task Force on Access to Justice has a role to play as a platform for studies and meetings where all aspects of Aarhus can be discussed. This role as a mere facilitator for a wider debate without any formal significance is in fact the strength of our body under the Convention. Stockholm 28 February 2021: Jan Darpö

  • 1. Introduction
    • 1.1 The study and the synthesis report
    • 1.2 Article 9.1 of the Aarhus Convention in text and practice
      • Article 9.1 first sentence
      • Article 9.1 second sentence
      • Article 9.1 third sentence
  • 2. Questions concerning access to justice in cases on the right to environmental information:
  • 3. Remarks and discussion
    • Introduction
    • Unproblematic issues
    • Barriers and challenges
    • Good examples and interesting features in the studied Parties
  • Concluding remarks

(Chair) Revised running order

Languages and translations
English

Transmitted by the Chair

Informal document GRVA-09-01-Rev.1

9th GRVA, 1-5 February 2021

Agenda item 1

Running order and tentative timetable for the ninth (virtual) session of GRVA

The table below provides an estimation on the date and timing for the agenda items proposed in ECE/TRANS/WP.29/GRVA/2021/1.

Date

Time

Tentative running order

Monday 1 Feb. 2021

(Interpretation provided)

1.00 p.m. – 3.00 p.m.

Item 1. Adoption of the agenda

(Item 2. Highlights of the November 2020 sessions of WP.29)

Item 3. Exchange of views on guidelines and relevant national activities

Item 4. Automated/autonomous and connected vehicles

(a) Deliverables of the IWG on FRAV

(b) Deliverables of the IWG on VMAD

Tuesday 2 Feb. 2021

12.30 p.m. – 3.30 p.m.

Item 4. Automated/autonomous and connected vehicles

(c) Deliveries of the IWG on EDR / DSSAD

(d) UN Regulation No. 157

Item 5. Connected vehicles

(a) Cyber security and data protection

(b) Software updates and Over-The Air issues

Item 12. Other business

(a) GRVA priorities

(d) Framework document for automated/autonomous vehicles (FDAV)

Wednesday 3 Feb. 2021

12.30 p.m. – 3.30 p.m.

Item 5. Connected vehicles

(c) Legal considerations regarding technical provisions over the vehicle lifetime

(d) Other business

Item 6. UN Regulation No. 79 (Steering equipment)

(a) Automatically Commanded Steering Function

(b) Steering equipment

(c) Remote Control Manoeuvring

(d) Other business

Thursday 4 Feb. 2021

12.30 p.m. – 3.30 p.m.

Item 7. Advanced Emergency Braking Systems

Item 8. UN Regulations Nos. 13, 13-H, 139, 140 and UN GTR No. 8

(a) Electronic Stability Control

(b) Electromechanical brakes

(c) Clarifications

Item 9. Motorcycle braking:

(a) UN Global Technical Regulation No. 3

(b) UN Regulation No. 78

Friday 5 Feb. 2021

(Interpretation provided)

1.30 p.m. – 3.30 p.m.

Item 10. UN Regulation No. 90

Item 11. Revision 3 of the 1958 Agreement

(a) Implementation of … Revision 3 to the 1958 Agreement

(b) International Whole Vehicle Type Approval.

Item 12. Other business

(b) Artificial Intelligence

(c) Any other business

Transmitted by the Chair Informal document GRVA-09-01-Rev.1 9th GRVA, 1-5 February 2021

Agenda item 1

Running order and tentative timetable for the ninth (virtual) session of GRVA

The table below provides an estimation on the date and timing for the agenda items proposed in ECE/TRANS/WP.29/GRVA/2021/1.

Date Time Tentative running order

Monday 1 Feb. 2021

(Interpretation provided)

1.00 p.m. – 3.00 p.m.

Item 1. Adoption of the agenda (Item 2. Highlights of the November 2020 sessions of WP.29) Item 3. Exchange of views on guidelines and relevant national activities Item 4. Automated/autonomous and connected vehicles (a) Deliverables of the IWG on FRAV (b) Deliverables of the IWG on VMAD

Tuesday 2 Feb. 2021 12.30 p.m. – 3.30 p.m.

Item 4. Automated/autonomous and connected vehicles (c) Deliveries of the IWG on EDR / DSSAD (d) UN Regulation No. 157 Item 5. Connected vehicles (a) Cyber security and data protection (b) Software updates and Over-The Air issues Item 12. Other business (a) GRVA priorities (d) Framework document for automated/autonomous vehicles (FDAV)

Wednesday 3 Feb. 2021 12.30 p.m. – 3.30 p.m.

Item 5. Connected vehicles (c) Legal considerations regarding technical provisions over the vehicle

lifetime (d) Other business Item 6. UN Regulation No. 79 (Steering equipment) (a) Automatically Commanded Steering Function (b) Steering equipment (c) Remote Control Manoeuvring (d) Other business

Thursday 4 Feb. 2021 12.30 p.m. – 3.30 p.m.

Item 7. Advanced Emergency Braking Systems Item 8. UN Regulations Nos. 13, 13-H, 139, 140 and UN GTR No. 8 (a) Electronic Stability Control (b) Electromechanical brakes (c) Clarifications Item 9. Motorcycle braking: (a) UN Global Technical Regulation No. 3 (b) UN Regulation No. 78

Friday 5 Feb. 2021

(Interpretation provided)

1.30 p.m. – 3.30 p.m.

Item 10. UN Regulation No. 90

Item 11. Revision 3 of the 1958 Agreement

(a) Implementation of … Revision 3 to the 1958 Agreement (b) International Whole Vehicle Type Approval.

Item 12. Other business

(b) Artificial Intelligence (c) Any other business