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ABSTRACT - Random forest imputation of nutritional information for statistics on food consumption in Norway. Susie Jentoft (Statistics Norway)

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1

UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Editing 7-9 October 2024, Vienna Austria

12 July 2024

Random forest imputation of nutritional information for statistics on food consumption in Norway

Susie Jentoft & Magne Furuholmen Myhren (Statistics Norway, Norway) [email protected] Abstract In 2024, Statistics Norway will publish average nutritional consumption for the first time, based on large, new data sources. Scanner receipt data from the largest supermarket chains is used primarily for the Consumer Price Index but provides the main data for the new statistic. This is linked using individual item keys (GTINs), to food databases and web-scrapped data containing nutritional values. Not all food items can be directly linked to nutritional information and a sequential imputation method was developed using random forest models, to complete the data. The models were trained on pre-processed food item descriptions, internal food group labels from the supermarket chains and COICOP tokens as features. Ten nutritional values were imputed for each item, including energy, fat content, sugar, salt and protein. The implemented random forest models performed above a baseline model (average values within COICOP groups) for all but one nutritional value (alcohol). The models performed similarly to a previously tested, more advanced imputation method using random forest imputation within nearest neighbour data pools, based on Jaccard similarities. The implemented imputation method appears to perform well and allows a complete data source to create nutritional statistics. Further work on tailoring and tuning the model for specific groups (including alcohol content) is planned for future rounds of publications. As the data sources do not rely on expensive survey collection, more frequent publications are feasible.

  • Random forest imputation of nutritional information for statistics on food consumption in Norway

ABSTRACT - National guidelines on data editing; the foundation for building a solution for the future. Aslaug Hurlen Foss (Statistics Norway)

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English

1

UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Editing 7-9 October 2024, Vienna Austria

12 July 2024

National guidelines on data editing; the foundation for building a solution for the future

Aslaug Hurlen Foss and Ane Seierstad (Statistics Norway, Norway) [email protected] Abstract The goal of writing national guidelines on data editing was to establish a common understanding of the data editing process and to promote best practice. The guidelines are based on the general model of the data editing process described in GSDEM. In the national guidelines we have added a process before and after those included in the GSDEM. These are: Control of data before it is submitted to Statistics Norway and control of data before transferring them into the Norwegian StatBank. For each process, quality indicators are suggested. In addition to the guidelines, we have drawn up general principles for data editing. These are based on principles of data validation by Eurostat. The guidelines are intended to provide a basis for building a data editing solution for the future. The goal is to develop a generic editing code that can cover the editing needs of many statistics. Important functionality is the ability to drill down from macro to micro level. It has been decided that it should be possible to manually edit values, although this should be minimised. Manual editing is also often necessary to train models for automatic correction. All changes to data should be logged. The solution should have access to preapproved functions for selective editing, outlier detection and imputation through the Norwegian Method library. Other important functionality is the use of visualization and quality indicators. The solution will be built using both Python and R.

  • National guidelines on data editing; the foundation for building a solution for the future

Presentation

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A method for finding reference persons to family immigrants to Norway and some preliminary test

results

BY CHRISTIAN SOERLIEN MOLSTAD

DIVISION OF POPULATION STATISTICS, STATISTICS NORWAY (SSB)

SSBs statistics on reason for immigration

• Family immigration one of five categories in Statistics Norway’s

statistics on reasons for immigration:

◦ Labour (33,1)

◦ Refuge (20,6)

◦ Family (34,6)

◦ Education (10,0)

◦ Other (0,6)

◦ (Unknown (1,1))

Data quality issues regarding family migration • Data on reference person (the person the family migrant

reunites/establishes family with) valuable in analyses of

immigration and integration (e.g. Arnesen & Molstad, 2024;

Molstad et al, 2022)

• A simplified registration scheme for EU/EEA-citizens and family

members of these was introduced by UDI in 2009

• Replaced requirement for residence permit for these groups

Consequence: Increase in missing reference persons for family immigrants, especially from the EEA

0

10

20

30

40

50

60

70

80

90

100

1990 1995 2000 2005 2010 2015 2020

Non-EU/EEA EU/EEA Total

Percentage family immigrants with missing reference person, by citizenship, 1990-2022

Source: Division for Population Statistics

Total: 65 900 family immigrants with missing reference person

The project and its scope

• 2022: Initiation of project which attempts to cover the

information loss, financed by the Ministry of Labour and Social

Inclusion (AID)

• Project deadline: Q3 2024

• Aim: Imputation using administrative data on

◦ Kinship relations

◦ Households

Core principles

• Focus on parsimony: as few variables and principles as possible

(Pluralitas non est ponenda sine necessitate, Ockham, 1990, p.

xxi)

• Considerations:

◦ Data management

◦ Use of imputed data in future statistical analyses

◦ Probability

Selection criterion 1: Sequence of arrival

= Family immigrant

= Kin (family member)

Sequence (first date)

A) Kin and family member first = 1

B) Kin and family members first >1

C) Kin and no family member first

D) No kin

Selection criterion 2: dependent on age at arrival

A) Kin + first family=1

First family First family

Diff.?

B) Kin + first family>1

Mother/ Spouse

C) Kin + no first family

First family

D) No kin

Missing

Test population

• Randomly selected 18 895 family immigrants arriving between 2004 and 2020,

with available data on reference persons

• 4 142 citizens of countries in the EEA

• Correct imputation if imputed reference person matches reference person

registered on statistical file

Test results, children (EEA citizens and reunifications only):

A) Kin + first family=1

B) Kin + first family>1

C) Kin + no first family

D) No kin

Diff.?

92,4 31,6 79,8 0,0 0,0

Test results, adults (EEA citizens and reunifications only):

A) Kin + first family=1

B) Kin + first family>1

C) Kin + no first family

D) No kin

Diff.?

88,8 96,7 99,7 13,8 0,0

Preliminary conclusions from tests

1. Great majority of imputations (82,6 percent) correct

2. Selecting mothers (for children) and spouses (for adults) seems

to be associated with higher precision than picking earliest

arriving family member

3. Challenge: Is the test population representative?

4. Additional measure: Add family/household affilitation?

Thank you for your attention!

References

Arnesen, R. & Molstad. C. S. (2024). Overgang til norsk statsborgerskap 1977-2021. (2024/3). Statistisk Sentralbyrå.

https://www.ssb.no/befolkning/innvandrere/artikler/overgang-til-norsk-statsborgerskap-1977-

2021/_/attachment/inline/1130ffc0-5e70-429e-a07e-

e450e5af695e:c18c1a4aba6726f6279d7922e4c001bbfe712bc3/RAPP2024-03.pdf

Molstad, C. S., Gulbrandsen, F. B., & Steinkellner, A. (2022). Familieinnvandring og ekteskapsmønster 1990-2020.

(2022/03). Statistisk Sentralbyrå. https://www.ssb.no/befolkning/innvandrere/artikler/familieinnvandring-og-

ekteskapsmonster-1990-2020

Ockham, W. (1993). Philosophical Writings. Hackett Publishing

  • Slide 1: A method for finding reference persons to family immigrants to Norway and some preliminary test results
  • Slide 2: SSBs statistics on reason for immigration
  • Slide 3: Data quality issues regarding family migration
  • Slide 4: Consequence: Increase in missing reference persons for family immigrants, especially from the EEA
  • Slide 5: The project and its scope
  • Slide 6: Core principles
  • Slide 7: Selection criterion 1: Sequence of arrival
  • Slide 8: Selection criterion 2: dependent on age at arrival
  • Slide 9: Test population
  • Slide 10: Test results, children (EEA citizens and reunifications only):
  • Slide 11: Test results, adults (EEA citizens and reunifications only):
  • Slide 12: Preliminary conclusions from tests
  • Slide 13: Thank you for your attention!
  • Slide 14: References

Presentation

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1

KÅRE VASSENDEN, STATISTICS NORWAY UNECE, GROUP OF EXPERTS ON MIGRATION STATISTICS

GENEVA, 7-8 MAY, 2024

Measuring emigration

from Norway

Initially, the paper was supposed to cover ...

• a review of all the relevant developments since 2014 • a presentation and classification of the data sources of

emigration registration • a thorough presentation of the control work • the choices made for the production of statistical data and

statistics • the issue of whether the NSI should undertake to modify the

events and the stock

Total modernisation of the

National Population Register (NPR) (2020)

“More has happened in the last five years than in the 50 previous years!”

• Electronic case processing • Automatization. Use of robots • Seamless flows of data between agencies. Take seconds, not days or

weeks • The NPR got more authority to require data and collaboration from

other agencies. • A more formalised division of labour between the producing agencies • Stronger position for the NPR as a hub in the public administration • Consumers have access to data in real-time.

Central person in the NPR at a meeting early in 2023:

Emigration

The duty to notify emigration

• “Anyone who moves to a country outside the Nordic countries to

settle there or stay there for at least six months must report this

to the [NPR] before departure.

• Notification concerning moving to another Nordic country is

regulated by the Agreement of 1 November 2004 no. 41 between

Denmark, Finland, Iceland, Norway, and Sweden on national

population registration.”

A promising innovation: The emigration portal

• An electronic solution for notifying emigration

• The pilot in 2023 was appreciated: The number of notifications

from the inhabitants increased by 40 per cent!

• The number of short stays abroad increased the most.

• The final version was launched 4 March 2024.

8

Nicolai Gogol (1842): “Dead souls“

Pljuskin is selling his dead souls to Tsjitsjikov.

A novel based on the “lost person” phenomenon

Control work in the NPR

• In the new NPR organisation: A

dedicated, central unit for control work

• The concept ‘control work’ applies to all

discrepancies in the registered data.

• However, correct information on ‘place

of residence’ is particularly crucial.

• Emigrating de facto non-residents has

the highest priority.

Control Plan 2024, Department of NPR, Control Unit

The law: Control of residential addresses

“If the NPR authority suspects that a registered address of residence is incorrect or that a stated address of residence in the notification is incorrect, it may a) request a more detailed explanation from the person concerned, even about their residence, b) obtain information from a homeowner or landlord about who lives or stays at the property c) obtain information from postal providers, e-com providers, network companies and electricity suppliers about the customer relationship of the person concerned.”

Example 1 of a control measure: Lists of more than 7 residents at an address

• The control work unit cleans the list against other control projects to avoid overlap with them.

• Avoiding cases outside the target group (such as large families) • Letters are sent to the residents' and house owners' residential addresses.

The latter usually provides useful information on immigration or emigration discrepancies.

• May result in the status Unknown Place of Residence (for two years)

Example 2 of a control measure: The yearly clean-up of non-Nordic EEA citizens

• Has been registered at the same address for 3 years • Not married to a Norwegian citizen • No children with a Norwegian citizen • No income 2 years ago above 100,000 NOK • No income last year • Does not have a spouse with income last year • Does not own a home in Norway • etc.

Type: Bulk handling. Ends with direct emigration

The criteria

The data source of emigration registration in the NPR (2023)

1. The normal source: Notifications

a) Notification from inhabitant b) Notification from a Nordic NPR

2. When people do not notify: Administrative emigration

a) Decision by the NPR 1) Tips received currently 2) Bulk handling

b) Expired residence permit

Inhabitant 41%

Nordic NPR 19%

Expired permit

10%

NPR authority

13%

Bulk handling 17%

Non-compliance with the duty to notify emigration:

Consequences for the quality of the data received by Statistics Norway

1. Some (short) stays abroad are not captured.

2. Recording of emigration events is delayed.

3. Before they are detected, they cause over-coverage in the population.

4. Low reliability of the date of the event and the length of stay

5. High percentage of ‘unknown country of next residence’

14

In 2014: “In Norway: Increasing percentage unknown country of next residence”

0.0

10.0

20.0

30.0

40.0

50.0

Norway Netherlands Denmark Sweden Finland

Thank you!

Kåre Vassenden +47 41 54 79 65 [email protected] [= [email protected]]

  • Slide 1
  • Slide 2: Initially, the paper was supposed to cover ...
  • Slide 3: Total modernisation of the National Population Register (NPR) (2020)
  • Slide 4: “More has happened in the last five years than in the 50 previous years!”
  • Slide 5: Emigration
  • Slide 6: The duty to notify emigration
  • Slide 7: A promising innovation: The emigration portal
  • Slide 8: Nicolai Gogol (1842): “Dead souls“
  • Slide 9: Control work in the NPR
  • Slide 10: The law: Control of residential addresses
  • Slide 11: Example 1 of a control measure: Lists of more than 7 residents at an address
  • Slide 12: Example 2 of a control measure: The yearly clean-up of non-Nordic EEA citizens
  • Slide 13: The data source of emigration registration in the NPR (2023)
  • Slide 14: Non-compliance with the duty to notify emigration: Consequences for the quality of the data received by Statistics Norway
  • Slide 15: In 2014: “In Norway: Increasing percentage unknown country of next residence”
  • Slide 16: Thank you!

Using administrative data sources for production of official statistics on stateless persons (Norway)

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1

KÅRE VASSENDEN, STATISTICS NORWAY

UNECE AND UNHCR, WORKSHOP ON THE INTERNATIONAL

RECOMMENDATIONS ON REFUGEE, IDP AND STATELESSNESS STATISTICS

6 MAY 2024

Using administrative data sources for production of official statistics

on stateless persons (Norway)

Content

A. Data sources: Administrative data

B. Statistics: Official

Notice: The importance of a person’s citizenship in the Norwegian society is limited

• Typical for some countries (including Norway) is that the status of a

resident means a lot for the individual, whereas the citizenship is not

relevant in most national circumstances.

• Only for crossing international borders does citizenship clearly matter.

A. Administrative data sources

1. Data source(s) for the information that someone is or has been

stateless

‘Stateless’ is one out of appr. 200 citizenship values. The primary object of our

interest must be the entire Citizenship variable

2. Sources of data for other information that is necessary or

useful for the understanding or analysis of statelessness data

A distinction: Two different roles of the data

‘Citizenship’ in Norwegian (electronic) administrative data

1. Currently (and at least since 2017): No doubt, the administrative register

providing the official information on citizenship is the National Population

Register (NPR).

2. Before that, since around 1975, it was slightly less clear for the users where

the official information could be found. However, the only alternative was

the NPR.

3. 1967-1973: Citizenship found in some NPR data – e.g. immigration records

Immigration, d-nr, blocked adr. etc

Requisition for d-nr

d-nr

Name, relation, marital status, paternity etc.

Emigration

Addresses, d-nr

Person

Directorate of immigration

National court administration

Police

Directorate of health

Norwegian Labour and welfare

administration

Foreign service missions

The Norwegian mapping authority

Nordic pop. reg.The Norwegian tax administration

Religious community

County governor

National Population Register

Norwegian guardianship authority

D-nr requisitionists

Directorate for children, youth and

family affairs

Marital status, death

Separation, divorce

Guardian

Adoption

Immigration, d-nr, emigration, nationality etc

Marriage

Paternity, address, death, abroad, d-nr

Marital status, parental responsibility, death etc

Birth, death

Suppliers of information to the NPR

6

Person

Directorate of

immigration

Statistics

Norway

Customs

National

Service

Administrati

on

Norwegian

Labour and

welfare

admin.

Brønnøysun

d register

centre

(altinn)

The

Norwegian

mapping

authority

Norwegian

directorate

of elections

The

Norwegian

tax

administrati

on

Distributor

Ca. 2000

entities

National

Population

Register

20 000 consumers of NPR data

7

The role of the immigration authorities (UDI) in relation to citizenship

• The Norwegian Directorate of Immigration (UDI) was responsible for most

citizenship acquisitions from 1988 to 2004.

• In 2005, the UDI became responsible for all citizenship acquisitions.

• However, it did not cover all foreign citizens (not Nordic/EEA citizens), it did

not have stock data, and there was no system for serving the society with

data.

• The only source containing all stock and flow data is the NPR. However, the

UDI has more variables than the NPR related to the acquisition cases.

Increasing integration and standardisation. The public administration has grown together

NPR

“Total NPR system”

NPR

NowBefore

B. Producing (official) statistics

• In 2015: The statelessness statistics of that time were

embarrassing difficult to interpret.

• The only solution was considered to be the development of

event-history data.

◦ Key information: Number of years passed since immigration or birth in Norway

Distinctive quality of ‘stateless’ as a citizenship value in statistics

• ‘Country of birth’ or other similar variables are necessary to know

the geographical/national background of the person.

• ‘Country of birth of the parents’ is helpful for the native-born.

Statelessness statistics in current statistics vs. special analysis projects

• It is difficult to see that statelessness will be given extra attention

in publishing basic, current statistics.

• In analysis products, however, it is easy and natural to handle

statelessness as a particular topic.

• Statistics Norway cooperates with the Ministry of Labour and Social

Inclusion (AID) on migration-related statistics. Studies of the

acquisition of Norwegian citizenship are included.

Thank you!

Kåre Vassenden +47 41 54 79 65 [email protected] [= [email protected]]

  • Slide 1
  • Slide 2: Content
  • Slide 3: Notice: The importance of a person’s citizenship in the Norwegian society is limited
  • Slide 4: A. Administrative data sources
  • Slide 5: ‘Citizenship’ in Norwegian (electronic) administrative data
  • Slide 6
  • Slide 7
  • Slide 8: The role of the immigration authorities (UDI) in relation to citizenship
  • Slide 9: Increasing integration and standardisation. The public administration has grown together
  • Slide 10: B. Producing (official) statistics
  • Slide 11: Distinctive quality of ‘stateless’ as a citizenship value in statistics
  • Slide 12: Statelessness statistics in current statistics vs. special analysis projects
  • Slide 13: Thank you!

Preliminary results of a method for finding reference persons to family immigrants to Norway (Norway)

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English

*Prepared by Christian Sørlien Molstad NOTE: The designations employed in this document do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.

Economic Commission for Europe Conference of European Statisticians Group of Experts on Migration Statistics Geneva, Switzerland, 7−8 May 2024 Item 6 of the provisional agenda Improvements in use of administrative data for migration statistics

Preliminary results of a method for finding reference persons to family immigrants to Norway

Note by Statistics Norway*

Abstract

In 2009, a registration scheme for citizens of countries in the EEA replaced the residence permit requirement. As a result, a significant amount of information regarding immigrants from countries in this area has been lost, including concerning the identity of the reference persons to family immigrants. Through a project financed by the Ministry of Labour and Social Inclusion (AID), Statistics Norway is currently developing a method to impute reference persons for this group. The paper will present an outline of the methodology and data sources of the method in its present form (April 2024), along with some preliminary results from testing. Based on the latter results, the paper will identify some areas in which further development of the method can be directed. As of now, the method utilizes a limited selection of administrative data related to kinship and household members of family immigrants. Questions concerning the application of these data in the method, as well as considerations regarding precision (individual versus family/household-level), will be among those discussed.

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I. Introduction: Background and aim of the project

1. Family immigration is one of five main categories1 in Statistics Norway’s statistics for reasons for immigration among non-Nordic citizens. It constitutes the single most common type of immigration in the period since 1990 (Molstad et al., 2022). Information regarding the so-called reference persons, the person to whom the family immigrant is immigrating, have proven useful to understand this type of immigration by providing individual-level context.

2. The implementation of Directive 2004/38/EC into the EEA-agreement and introduction of the registration scheme in 2009 meant that immigrants from EEA countries are no longer required to obtain residence permits. One consequence has been loss of information regarding the reference persons of family immigrants. The data loss has for the most part affected so- called family reunifications, i.e. family immigration where the family relation existed before the reference person was resident in Norway. For family establishment, where the family immigration entails establishment of a new relationship (usually marriage), imputation using administrative data on spouses has mitigated the data loss.

3. The loss of data on reference persons has led to discontinuation of the delivery of several cross tables supplied through the annual monitor for family immigration and the introduction of severe limitations to analyses utilising this information. In order to rectify these gaps, a project was initiated in 2022 with funding from the Ministry of Labour and Social Inclusion (AID). In the project we aim to utilise administrative data to impute reference person for family immigrants for whom such data are missing. The goal is to successfully impute data for family immigrants that arrived from the year the registration scheme was introduced, 2009, until 2020.

4. A more detailed outline of the background of the project, as well of a brief discussion of initial considerations, have been presented in Molstad (2022). This paper will present an outline of the methodology in its present form (April 2024), as well as some preliminary results from tests using data for family immigrants for whom we have reference persons. In the closing sections of the paper, the results will be briefly discussed and some points for further development and use of the methodology presented.

II. Data sources and methodology

A. Core principles

5. In the method presented in this paper we have as far as possible opted for parsimony, balancing the attempt to measure the missing relations as precisely as possible while simultaneously applying a) a minimum of variables using b) as simple principles as possible. This “economical” justification is based on several considerations.

6. One concerns the practical aspect of data management. Register data is by default reliant on administrative routines and the collection and storing of data in the relevant agencies (see section B in this chapter). Changes in these practices can therefore affect the quality and/or characteristics of the available data, as illustrated by the loss of information regarding reference persons to family immigrants due to changes in the requirements for residence for EEA-citizens. For an imputation method using register data, the exposure to such changes

1 The others being labour, refuge, education and other.

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will to a significant degree be determined by the number and characteristics of the chosen data sources. Applying data from fewer sources entails in principle less exposure to potential changes, and correspondingly less vulnerability.

7. Another consideration concerns the potential use of the imputed values in future statistical analyses. Data on reason for immigration are utilised extensively in analyses on topics related to immigration and integration. In some of these analyses, information on the reference persons of family immigrants have been used as a mean for subdividing these immigrants into groups. Traits of reference persons, like immigration category, sex and (for immigrants) reason for immigration, have proven useful in explaining patterns among family immigrants with regards to such phenomena as naturalisation and structural integration (Arnesen & Molstad, 2024; Molstad et al., 2022). A method for imputation of reference persons will have to take into account that the application of the imputed data for analytical purposes can be severely curtailed by the choice of variables. A method drawing on a number of variables known to correlate with characteristics of reference persons could potentially produce more precise imputations. However, such imputed data would naturally be unusable for studies aimed at investigating these same relations.

8. In the imputation method we have therefore adopted a conservative approach to including variables, starting with a limited set of variables reflecting demographic characteristics and immigration. This does not preclude the possibility of introduction of biases in the imputed data that could affect results of analyses. The choice of reference person in the imputation method is, as we will see below, partly reliant on assumptions “favouring” one gender over another (mothers over fathers, time of arrival being equal). Instead of eliminating the potential of such biases, a parsimonious method for imputation, using a minimum of variables in a simple manner, makes for easier understanding of the sources of potential biases and limits for analyses. As we will argue in the discussion (chapter IV), one can furthermore argue that some of these limits may be bypassed using variables on household and/or family level.

9. A third consideration relates to probability. It has been argued that simpler hypotheses are more likely to be true (Swinburne, 2019), even if just because they introduce fewer assumptions and thereby fewer possibilities for error (Simms, 2024). This parallels the justification in the first consideration, concerning limiting the number of variables to limit exposure to potential changes in data sources (see above).

10. In the methodology presented in this paper we have hence aimed at keeping the number of assumptions to a minimum, adhering to William Ockham’s maxim that “plurality should not be posited without necessity” (Pluralitas non est ponenda sine necessitate) (Ockham, 1990, p. xxi). As far as the aim of successfully predict reference persons permits us, we have attempted to make very broad and rudimentary categorisations and deduce reference persons through simple logical inferences, such as through transitive relations2 (e.g. family members’ relative arrival times to the country).

B. Data sources

11. The data on reasons for immigration is generated using information from two main data sources: the Aliens Register (UDB), administered by The Norwegian Directorate of

2 A transitive (binary) relation R is defined as such if (and only if) “for all elements d, e, f of [the set] S: if ⟨d,e⟩ ∈ R and ⟨e,f ⟩ ∈ R then also ⟨d,f⟩ ∈ R” (Halbach, 2015, p. 9).

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Immigration (UDI), and The Central Population Register (DSF/FREG),3 administered by The Directorate of Taxes (Skatteetaten). Apart from this data, the method in its current form applies primarily two kinds of data, concerning kinship and households.

12. The data source of kinship data is primarily The Central Population Register (DSF/FREG). One challenge associated with the available kinship data concerns missing information regarding parents. This problem is most prevalent among immigrants. Table 1 shows percentage of missing data on fathers and mothers for persons resident in Norway as per 1.1.2021. As we can see, social security numbers are missing for a majority of immigrants. This is not necessarily a sign of low quality: for many immigrants, especially those arriving as adults, parents will neither have been or become resident in Norway and therefore not be registered in The Central Population Register. For immigrants arriving at a young age, the coverage tends to be better.4 In general the gaps in the data are more substantial for fathers compared to for mothers, irrespective of immigration category.

Table 1 Percentage missing social security numbers for parents, resident population in Norway per 1.1.2021, by immigration category

Mothers Fathers

Immigrants 77,8 82,6

Norwegian-born to immigrant parents 0,2 4,8

Without immigrant background 7,0 8,6

Total 17,3 19,4

Source: Statistics Norway

13. Household data is based on information from three main data sources, namely The Central Population Register (DSF/FREG), The Cadastre (Matrikkelen) and The Central Coordinating Register for Legal Entities (Enhetsregisteret i Brønnøysund).

14. In its current form, the imputation method applies household data for the earliest data point after time of immigration, i.e. 1st of January of the subsequent year. For immigrants 18 years or older at the time of arrival, information on spouses/partners is collected from this data point.

15. Household data are also used to impute potentially missing parents for family immigrants that were under 18 years of age at arrival. In the case of missing data for either mother or father, household members of family immigrants who are a) of opposite age and b) within a 15-year

3 A modernised version of the Central Population Register was introduced in 2020. In an intermediate period from 2020 to September 2022 substitute data similar to the data from DSF, the previous system, were delivered by The Directorate of Taxes. The files used in the methodology presented in this paper are based on data older than 2022. 4 An example can be found in Molstad & Barstad (2023). Analysing intergenerational social mobility among persons born between 1979 and 1989, the authors used kinship data to connect such information as parents’ income and education to the persons of interest. While coverage was generally limited among the immigrants, it was high among so-called “early arrivers” (immigrants arriving before 7 years of age), see table 3.1 on p. 21.

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age range (older or younger) of the registered parent and c) who are not one of the other registered family members are imputed as possible parents. The imputed parents and data regarding their first date in Norway are included in the imputation method described below.

C. Outline of approach

16. The method applies the presented data in two stages. Based on the age of the family immigrant at the time of arrival, kinship data and the date of arrival (first date)5 of him/her and his/her family members (kin), 1) a typology based on different family constellations and sequences of arrival is constructed. Through logical deduction from this typology, 2) most likely reference persons are inferred (when possible).

17. These stages will be presented in the following subchapter separately.

1. Construction of typology

18. Figure 1 displays a graphical presentation of the approach for subdividing the family immigrants into a four-category typology. There are four main types of elements in the illustration in figure 1 and 2 (colour and numbering in brackets), denoting subcategories of the population (grey, 1), data sources (red, 2), choices (yellow, 3) and imputation categories (green, 4).

19. Using the primary person’s age at the time of immigration, a fundamental distinction is made between persons below 18 years of age at the time of immigration (i.e. children) (1.2) and persons that were 18 years or older (adults) (1.3). This age distinction is introduced due to assumed different characteristics of family immigration involving children and adults. Family immigrants having arrived as children can be presumed to often come through reunification with parents. We may on the other hand assume adult family immigrants to often reunite with spouses or children.

20. These presumed differences form the basis for prioritisation of kinship relations in the subsequent categorisation of family immigrants into four main categories using kinship data (2.2) and the date of arrival (first date) of the child and family members (kin) (2.3).

21. Based on kinship data, the family immigrants are first split according whether there are kinship relations (i.e. family members) registered (3.1). If not (¬), the family immigrants are placed in a separate category (1.7).

22. Those with registered kinship relations are further split according to whether the family immigrants have family members arriving at an earlier date (i.e. earlier date of arrival) than themselves (3.2). Those that do not (¬) are separated into an own category (1.6).

23. The remaining family immigrants, that do have registered kinship relations and of who at least one of these have arrived earlier than the family immigrant, are divided according to the number of kin having arrived earlier (3.3). Family immigrants with more than one (>1) such kin are split from those with only one (1).

5 For family members born in Norway this date of “arrival” will be their birth date.

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Figure 1 Approach for constructing of typology

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24. The distinction between family immigrants arriving as children and adults is applied in this part of the process. For children, priority is given to parents, meaning that if at least one parent is found in the available data, only this relation (and that of the second parent, if available) will be counted in choice 3.3. Only if no parents are registered, other kinship relations are used to distinguish between those with one or more family members with earlier arrival date. Corresponding priority is given to spouses and children in the case of adult family immigrants.

25. Through the procedure described above, the following four categories are constructed:

26. A) Family immigrants with registered kinship relations, and with only one family member with an earlier or equal first date (1.4). In principle, these family immigrants only have one potential reference person, namely the family member arriving to Norway before them. We may therefore assume this group to constitute the “easiest” in term of imputation.

B) Family immigrants with registered kinship relations, and with more than one family member with an earlier or equal first date (1.5). Due to there being more than one family member arriving earlier than the family immigrant, there are several potential reference persons for the family immigrants in this category. The imputation will therefore necessitate a choice between “candidates” based on specified criteria.

C) Family immigrants with registered kinship relations, but where (the) family member(s) have later first date(s) (1.6). With no family members arriving earlier or at the same time as the family immigrant, there is in principle no potential reference person. However, assuming a degree of error in the first date of the family immigrant and/or his/her kin, there is still some room for imputation using available kinship relations. In cases in which there are more than one registered kinship relation, a choice between “candidates” based on criteria will be necessary.

D) Family immigrants with no registered kinship relations (1.7). No registered kinship relations means that no potential reference person can be inferred with the method stipulated in this paper.

2. Imputation

27. From these subcategories imputation may be conducted based on logical inferences (figure 2). Among the simplest are those drawn for the members of subcategory 1.4, for whom there is only one family member for whom there is an earlier or equal date of arrival compared with the family immigrant. In these cases, imputation means picking this family member as the most likely reference person (4.1).

28. Equally straightforward is the procedure for subcategory 1.7. With no registered kinship relations available, the reference persons for these family immigrants are bound to remain missing (4.5).

29. For the family immigrants in the subcategories 1.5, for whom more than one eligible family member is available, introduction of further criteria is required (choice 3.4). One such criteria is relative arrival date among the family members. There are several options for how to implement such a criterion, of which two main ones stand out: picking the family member arriving at the earliest date vs the family member with the arrival date closest in time compared to the family immigrant.

30. Which principle should be chosen as criterion? Choosing the earliest arrival could be justified with the assumption that this family member is the “pioneer” to which the rest of the family is

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immigrating. However, this assumption does not take into consideration the possibility that the distance in time between the arrival of the earliest family member and the arrival of the family immigrant (and other family members) is vast. The immigration of one or more of the kin of the family immigrant could in principle be completely unrelated. It can be argued that the possibility of the immigrations being unrelated increases with greater distance and that immigrations more proximate in time therefore are more likely to be related. In the present version of the imputation model, we have however chosen to favour earlier arrivals, selecting the family member arriving first relative to the family immigrant and other family members (4.2).

31. In those cases where there is no difference in arrival date between eligible family members (¬), an alternative criterion will have to be introduced for choosing. Here we have chosen to introduce different criteria based on the age of arrival of the family immigrant. For children the mother is given priority (4.3). However, this logic only applies if parents are available, the family with the earliest first date is selected in the priority of first siblings, then grandparents (4.2). For adults spouses are prioritised over children (4.3). If spouses and children are not available, the first other family member is chosen in a similar priority as for children (4.2).

32. The principle is followed in the case of family immigrants in subcategory 1.6, who has arrived before other family members. For these we choose the family member with the earliest first date (4.4).

Figure 2 Principles for imputation of reference persons

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III. Preliminary results

A. The test population

33. To test the imputation method, we use data for 18 895 family immigrants who a) arrived in the period 2004-2020 and b) for whom information on reference person is not missing on the statistical file for reasons for immigration. The population is one of ten randomly drawn6 groups from the total population of all family immigrants for whom we have data on reference persons in the period on the statistical file for reason for immigration.

34. In the test our primary interest is the results for the 4 142 persons with first citizenship from a country in the EEA (table 2). Results for non-EEA-citizens will however also be referenced, as it provides an indication for the broader predictive power of the method.

35. Table 2 compares the characteristics of the test population and of the family immigrants for whom reference persons are missing in the period 1990 to 2020 (henceforth referred to as main population). As we can see the test population consists of a majority of citizens from outside the EEA, 78 percent. In the main population, the relation is opposite. This is not surprising, given that the loss of data on reference persons is most extensive among citizens from EEA countries.

36. Among EEA-citizens, we furthermore see different distributions regarding gender and age at arrival. More than two thirds of the family immigrants in the test population were adults at the time of immigration. Less than one third of the family immigrants for whom we lack data on reference persons were 18 years or older. This may partly be due to the low degree of missing reference persons in the case of family establishments, due to the imputation already done for this type of family immigration (see Molstad (2022), p. 7). Most, if not practically all, of the family immigrants coming to the country to marry a person already resident in the country will have been at least 18 years of age.

37. The test and main population are in other words not comparable on an aggregate level. In order to evaluate the “success” of the imputation method, we must therefore break down the results according to group level characteristics.

6 The groups were generated using the RAND function in SAS, see SAS Help Center (2024).

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Table 2 Descriptive statistics, test and main population

Test population, number

Test population, percentage

Main population,

number

Main population, percentage

Non-EEA citizens 14 753 78,1 9 844 17,1

EEA citizens 4 142 21,9 47 685 82,9

Whereof (EEA citizens):

Children (<18 years old) 1 303 31,5 34 919 73,2

Adults (18 years or older) 2 839 68,5 12 766 26,8

Male 998 24,1 20 067 42,1

Female 3 144 75,9 27 618 57,9

Family reunion 3258 78,7 47 646 99,9

Family establishment 884 21,3 39 0,1

Total 18 895 100 57 529 100

Source: Statistics Norway

B. Results of imputation

39. Table 3 shows the results of the imputation method when applied on the test population. Absolute numbers and percentages indicate number of family immigrants selected into the relevant imputation categories and the percentage correct imputations.

40. As we can see, the great majority (83 percent) of the imputations are correct, in the sense that the selected family member matches the reference person registered on the statistical file. The degree of correct imputations varies greatly according to the imputation category. As expected, we see the highest percentage among family immigrants with only one family member with an earlier or equal first date (4.1). For these family immigrants, 90 percent of the imputations are correct. In cases where there are several family members with earlier or equal first date and there were difference(s) in the first dates among the family members (4.2), the percentage correct imputations is almost the same, 86. For this category we chose the family member with the earliest first date, a prediction that seems to generate overall fairly accurate results.

41. In cases we did not have a difference in first date(s) to go by (4.3), and we prioritized mothers (for children) and spouses (for adults), the percentage correct imputations was significantly lower. 73 percent of the family immigrants in this category were assigned the correct reference person.

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42. Relatively few family immigrants did not have family members registered in the administrative records (4.4) or only family members that had later first dates than the family immigrant (4.5). These family immigrants constituted only 2 percent respectively of the total number of the test population. In the former case, where the family member with first date was chosen, only very few (6 percent) of the imputations were correct.

43. The overall pattern in other words confirms what we expect to see with regards to the relative precision of the imputation categories. As we move from left to right, the level of predictive power drops, most markedly in those categories where we are forced to deviate from the principle of picking a family member that has a first date earlier than a) the family immigrant and b) other eligible family members.

Table 3 Number of persons and percentage correct imputations, by imputation category and characteristics

4.1 4.2 4.3 4.4 4.5 Total

Non-EEA citizens 3 796 (89,7)

9 525 (88,8)

724 (54,8)

330 (3,9)

378

(0,0) 14 753

(83,2

EEA citizens 927

(91,3) 2 331 (76,7)

742 (89,8)

90 (12,2)

52 (0,0)

4 142 (80,0)

Whereof (EEA citizens):

Children (<18 years old)

184 (92,4)

747 (31,6)

372 (79,6)

0 (0,0)

0 (0,0)

1 303 (54,0)

Adults (18 years or older)

743 (91,0)

1 584 (98,0)

370 (100,0)

90 (12,2)

52 (0,0)

2 839 (91,9)

Male 199

(91,5) 534

(51,3) 238

(81,5) 11

(9,1) 16

(0,0) 998

(65,2)

Female 728

(91,2) 1 797 (84,3)

504 (93,7)

79 (12,7)

36 (0,0)

3 144 (84,6)

Family reunion 683

(89,8) 1 726 (68,5)

742 (89,8)

66 (15,2)

41 (0,0)

3 258 (75,9)

Family establishment

244 (95,5)

605 (100,0)

0 (0,0)

24 (4,2)

11 (0,0)

884 (94,9)

Total 4 723 (90,0)

11 856 (86,4)

1 466 (72,5)

420 (5,7)

430 (0,0)

18 895 (82,6)

Source: Statistics Norway

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44. However, this pattern is less clear when the results are broken down on group level. While the left to right drop in precision is still evident among non-EEA citizens, it is less so among citizens from inside the EEA. The percentage of correct imputations is consistently high (90 percent or above) among the family immigrants from the EEA-area in category 4.1, irrespective of background characteristic. The differences are more significant in category 4.2 and 4.3. Picking the family member with the earliest first date leads to very different outcomes: for adult family immigrants from the EEA, it leads to 98 percent correct imputations, while it for children results in a meagre 32 percent of “hits”.

45. A possible reason behind these differences is suggested by the results for family reunions and family establishments. In situations where EEA citizens have arrived Norway to marry a person already resident in the country and there are more than one eligible family member to choose from, the imputation method selects the right reference person in 100 percent of the cases. The corresponding percentage for EEA citizens arriving through family reunification is 69 percent. The better results for family establishments can be explained by the large number of already imputed values in this group on the data file. A high degree of similar matches is not surprising given that we prioritise the same type of persons, i.e. spouses (see chapter I), in parts of our imputation method for adults (4.3).

46. As family immigrants coming to Norway through marriage are overwhelmingly 18 years or older, it is therefore tempting to attribute the more favourable results for adults to the inclusion of family establishments in the test population. However, as figure 3 illustrates, this seems not to be the full reason behind the differences between children and adults. Considering only family reunifications, we see the high percentage of correct imputations among adult family immigrant persisting. Prioritizing the spouse in the case of similar first dates among family members (4.3) results in a near perfect prediction. We see a similar tendency among children with regards to mothers. Prioritizing mothers when first dates are equal leads to 80 percent correct imputations.

47. Giving primacy to an earliest first date, when this is possible (4.2), has very different consequences for children and adults. While for children it is associated with low precision (32 percent, as mentioned above), it means almost perfect prediction for adults (98 percent). The differing percentages of “hits” may be due to a common cause: mothers are selected in only 20 percent of the cases in this category for children, while spouses are picked for nearly all, 98 percent, of the adults. The fewer correct imputations among children is in other words potentially due to mothers being systematically registered as reference persons even when there are one or several more other family members present in the country.

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Figure 3 Percentage correct imputations, EEA citizens coming through family reunification, by imputation category and age at time of immigration

IV. Discussion

48. There are two main options for how to approach improvement of the described method. One possibility is to further simplify the selection criteria in the cases where there are several eligible candidates for reference person. As we have seen in the previous chapter, there seems to be a tendency toward picking mothers for children and spouses for adults being associated with high precision. Selecting mothers and spouses for children and adults where eligible mothers and spouses are available would reduce the number of steps and imputation categories in the method. However, doing this would possibly mean accepting a significant number of wrong imputations. Assuming the family reunifications involving EEA citizens in the test population being fairly representative of the family immigrants on the statistical file with missing reference persons, the method would select the wrong family member 20 percent of the time for children similar to those categorised in 4.3. The inaccuracies could furthermore be considerably higher on (sub)group level, severely limiting the use of the imputed data. Making the method more sophisticated in order to make it more precisely select the correct family member among several eligible candidates could therefore be fruitful.

49. This would not necessarily require adding new data to the imputation process. In further development of the method, household data could for example be used more extensively to either discriminate among potential reference persons or to suggest (impute) missing family members. Imputation of potentially missing fathers and mothers is already done for children with only one registered parent (see subchapter II.C.). We see that a majority (69 percent overall, 79 percent in the case of EEA citizens) of the family immigrants for whom the imputed value is wrong live in the same household as the reference person registered on the statistical file.

0

10

20

30

40

50

60

70

80

90

100

4.1 4.2 4.3 4.4 4.5

Children

Adults

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50. However, even an eventual imputation method achieving near perfect prediction across all (sub)groups will always be associated with uncertainty. While developing an imputation method with the help of test populations, we always risk moulding it (the method) too closely to their (the test populations’) characteristics. Furthermore, given that we may not fully know how representative the test population is compared to the population we aim to impute data for, we may never be completely sure of the validity of the predictions of our method. That is of course unless new data become available that be used to directly verify the predictions.

51. Both demonstrably imprecise predictions in testing and the perennial question of representativeness can however arguably be bypassed. Precision has in this paper been measured by individual level correspondence between the information about the reference person registered on the statistical file and the information imputed through the outlined method. If the identity of the persons referred to does not correspond, the prediction is deemed incorrect. However, this does not mean that the imputed data is of equal value to missing data. We may know with reasonable certainty that the person imputed as the reference person is a family member. Analyses of immigration and integration often take a family and/or household perspective as this often is the arena of many of the processes and the decision making.7 Identifying which family and/or household the family immigrant arrived/“belong” to may therefore be more significant than identifying the exact family member was registered in the administrative records as the reference person. For this reason, adding variables indicating household and/or family affiliation to the finished file could mitigate the shortcomings of the individual level output of the imputation method.

V. Conclusion

52. The method presented in this paper has tried to balance methodological parsimony in terms of the number and use of variables with the need to achieve high precision in predicting reference persons for family immigrants. The preliminary results from the current version of the method are mixed. Among family reunifications involving EEA citizens, who most probably resemble the family immigrants with missing data on reference persons the most, there is substantial variation in the precision of the method, especially on group level.

53. Further work on the method could mean simplifying the method further. This would quite possibly lead to improved precision for important groups of family immigrants, such as for those arriving as children. This is one of the biggest groups among the family immigrants we lack data on reference persons for. Another possibility is development of a more fine-grained method for discriminating between potential reference persons, hopefully resulting in selection which is (even) more precise. Whichever approach is chosen, it would most probably be beneficial to add variables indicating family and/or household affiliation. These could provide a basis for making statistics and analyses for which the imputed data otherwise would be unsuited for.

7 This is especially the case in research within the New Economics Migration (NELM)-approach (De Haas, 2010).

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VI. References

Arnesen, R., & Molstad, C. S. (2024). Overgang til norsk statsborgerskap 1977-2021 (2024/3). Statistisk Sentralbyrå. https://www.ssb.no/befolkning/innvandrere/artikler/overgang-til-norsk-statsborgerskap- 1977-2021

De Haas, H. (2010). Migration and development: A theoretical perspective. International migration review, 44(1), 227-264.

Halbach, V. (2015). The Logic Manual. Oxford University Press.

Molstad, C. S. (2022). Finding family relations: About quality issues regarding family immigration statistics and their potential solution using administrative data United Nations Economic Commission for Europe (UNECE): Conference of European Statisticians, Group of Experts on Migration Statistics, Geneva. https://unece.org/sites/default/files/2022-10/WP.8_Molstad_Norway_SA_ENG_1.pdf

Molstad, C. S., & Barstad, A. (2023). Sosial mobilitet blant innvandrere og norskfødte med innvandrerforeldre (2023/28). Statistisk Sentralbyrå. https://www.ssb.no/befolkning/innvandrere/artikler/sosial-mobilitet-blant-innvandrere-og- norskfodte-med-innvandrerforeldre

Molstad, C. S., Gulbrandsen, F. B., & Steinkellner, A. (2022). Familieinnvandring og ekteskapsmønster 1990-2020 (2022/03). Statistisk Sentralbyrå. https://www.ssb.no/befolkning/innvandrere/artikler/familieinnvandring-og-ekteskapsmonster-1990- 2020

Ockham, W. (1990). Philosophical Writings. Hackett Publishing Company.

SAS Help Center. (2024). RAND Function. Retrieved 12.04 from https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/lefunctionsref/p0fpeei0opypg8n1b06qe4r0 40lv.htm

Simms, C. (2024). Occam’s razor. New Scientist. Retrieved 14.04.2024 from https://www.newscientist.com/definition/occams- razor/#:~:text=14th%E2%80%93century%20friar%20William%20of,should%20prefer%20the%20si mpler%20one.

Swinburne, R. (2019). Simplicity as Evidence of Truth. Marquette University Press.

  • Note by Statistics Norway*
  • I. Introduction: Background and aim of the project
  • II. Data sources and methodology
    • A. Core principles
    • B. Data sources
    • C. Outline of approach
      • 1. Construction of typology
      • 2. Imputation
  • III. Preliminary results
    • A. The test population
    • B. Results of imputation
  • IV. Discussion
  • V. Conclusion
  • VI. References

Measuring emigration from Norway: Developments in the recent decade (Norway)

Languages and translations
English

*Prepared by Kåre Vassenden NOTE: The designations employed in this document do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.

Economic Commission for Europe Conference of European Statisticians Group of Experts on Migration Statistics Geneva, Switzerland, 7−8 May 2024 Item 5 of the provisional agenda Measuring emigration

Measuring emigration from Norway: Developments in the recent decade

Note by Statistics Norway*

Abstract

In the recent decade, the Norwegian National Population Register (NPR) has undergone significant modernisation, culminating in the implementation of the new Freg system in 2020. Fundamental changes include transitioning to electronic case processing, seamless communication with data-producing agencies, and developing digital portals to notify international migrations.

The NPR employs various control measures to identify unreported emigrations, including yearly clean-ups of non-Nordic EEA citizens and individuals without known residence. These measures, coupled with collaboration with agencies like the Norwegian Directorate of Immigration, aim to maintain the quality of the data.

Emigration data resulting from control work and following administrative decisions has some quality issues. Delayed recording of these events causes different challenges for the data users. Over-coverage in the resident population has implications for, among other uses, statistical analyses and decision-making in society based on the statistics.

In the past two decades, Statistics Norway (SSB) has followed the same principles and methods in coping with the below-standard quality of the emigration data. However, considering all the changes in recent years, SSB will have to go through its established approaches.

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I. Introduction

1. The inherent difficulty in detecting someone's departure, as opposed to their arrival, is a universal concern in migration registration and statistics. The challenge exists even in countries boasting a robust national population register system. This topic was discussed in papers presented at the UNECE Work Sessions on Migration Statistics in 2012 and 2014 (Vassenden, 2012 and 2014).

2. Since then, the Norwegian National Population Register (NPR)1 has undergone substantial changes in its organisational, legal, and technical frameworks related to the capacity for emigration registration. These developments make it desirable to update the explanation of the system's functioning and to assess the current accuracy of emigration registration.

3. In particular, the NPR's control work deserves a thorough presentation.

II. General background for the topic

4. The first municipal population register (1906 in Oslo) aimed to have one common register in the municipality to register the inhabitants and their place of residence. In this way, Norway has a population register tradition that differs from the civil register tradition found in most other countries. In an NPR, 'place of residence'2 is core information fully integrated into the register.

5. By 1946, all municipalities had a population register, facilitating ambitions to register all emigration from Norway. Full-coverage statistics on international migration were produced from 1951 onwards, and in 1958, the statistics were broken down by country of previous/next residence.

6. In 1964, a central, electronic mirror of the local card registers was set up (Central Population Register (CPR)). The 1995 version of it replaced the local card registers. From that year, there was only one physical NPR in Norway. It was updated electronically by the local register offices.

7. Statistics Norway (SSB) was in charge of the NPR until 1991, when the Norwegian Tax Administration took over.

8. In connection with an issue about administrative emigration in 2019, the Minister of Finance presented the NPR (Stortinget, 2019): "The NPR is the Norwegian society's central register of persons who are or have been resident in the country or have another form of connection to the country. The information in the register is used for public administration, research,

1 The Norwegian term ‘folkeregisteret’ or ‘Folkeregisteret’ has a meaning that easily get lost in translations into English. The translation ‘the National Population Register (NPR)’, where “national” is included, is meant to keep some of connotations given by the Norwegian term. The point is that the NPR is neither “any” population register nor simply a civil register with a few additions. Like the Norwegian term, NPR may refer to the physical register (system), the virtual (legal) register, the NPR organisation (within the host agency), and the NPR as a public authority.

2 This term is preferred to avoid the technical aspects of the term “address”. Residents in Norway shall be registered with a detailed, standardised address, while the address information in a country of next resident (if any information exists), is less structured.

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statistics production, and to meet basic social needs. The development of society, including the increase in people's mobility in Norway and across national borders, places increasing demands on efforts to ensure the most up-to-date and correct NPR."

III. Comprehensive modernisation of the NPR system 2016-

9. In 2011, a discussion on how a modernised NPR should be started. A new Act of National Population Registration came into effect in 20173. At the same time, the Tax Administration, and thereby the NPR organisation, was radically reorganised. Step by step, new technical solutions for NPR were developed, and in October 2020, the new system (called Freg) took over after the CPR. Freg produced and submitted CPR-like transactions until September 2022. After that, the users had to "listen" to the changes in Freg and "harvest" the data themselves.

10. The following is an overview of the most significant changes happening as a direct result of – or at the same time as – the modernisation project:

• The five Tax (and NPR) Regions were abolished. o NPR work is carried out on fewer premises (not more than one for each area), fostering specialisation

and professionalism. A dedicated department and management team within the Tax Administration for NPR affairs was established.

• From paper-based to electronic case processing o A database and a system for electronic case processing were set up in addition to the Register (the

"Register" is the core of the NPR system). o From manual to automatic case processing (i.e. by "robots") whenever possible and practical

• The legislation was adapted to a new digital reality. • Seamless and immediate communication between NPR and the data-producing agencies and institutions

o Information flows that once took a week or longer now take seconds (applies to e.g. births and deaths).

• Other relevant public agencies got a formal role as producers of NPR data. o Clear division of responsibility between the NPR and other public agencies and institutions o Responsibility is outsourced from NPR when possible and practical. o It is possible to refer to an extended NPR system with more than one agency.

• A new solution for communicating data from the NPR to its users o More users than before are directly connected (not indirectly via a distributor).

• An increasing number of cases where sector legislation refers to the NPR as the authoritative source for core population data, among them place of residence

• Stronger duty for the public NPR users to report errors found in NPR data • Different kinds of quality work are given more attention in the NPR. • GDPR

11. In 2023, a central person in the NPR commented, "More has happened in the last five years than it has in the last 50 years combined!"

3 In Norwegian: https://lovdata.no/dokument/NL/lov/2016-12-09-88?q=folkeregistrering

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IV. Emigration registration as it is supposed to work

12. No one imagines that national population registration can be carried out without any errors or other quality issues. Dealing with these is an intrinsic part of an NPR. However, for editorial reasons, the presentation will start with emigration registration as it is meant to be, without any issues. Then, the next chapter will deal with the difficulties and the cases inconsistent with this initial model of perfection.

13. Notice that the considerations about what is ideal are based on the NPR legislation. Whether this situation is ideal for all NPR users is another matter that will be touched upon in Chapter VII.

14. «To de-register» is sometimes used as a synonym for "registering as emigrated". That is OK if, by 'registered', one thinks of being a resident. If, however, one has the entire register in mind, "de-register" would be misleading since no one is deleted. What happens is that their status is changed from 'resident' to 'emigrated'.

A. The two normal sources for registration of emigration

15. In Norway, those who move house must notify the NPR of their new address. This duty implies that for registration of emigration, the migrants themselves (the "citizens" or the "inhabitants") are a primary source of information. The second source is the national population registers in the other Nordic countries. It makes up 30-50 per cent of the two sources combined.

16. Historically, these normal sources have dominated as sources for registration of emigration events, but recently, they have not made up much more than half of all emigrations.

B. Source 1: The migrants themselves

1. Step 1: The duty to notify

17. The law stipulates, "Anyone who moves to a country outside the Nordic countries to settle there or stay there for at least six months must report this to the [NPR] before departure. Notification concerning moving to another Nordic country is regulated by the Agreement of 1 November 2004 no. 41 between Denmark, Finland, Iceland, Norway, and Sweden on national population registration."

18. A move to a Nordic country shall not be reported to Norwegian authorities but to the NPR of the receiving country.

(a) The new emigration portal

19. Until recently, the way to notify an emigration was to download a PDF form, fill it out, and submit it (including possible attachments) electronically or on paper to the NPR. On 4 March 2024, however, a digital form was launched as the standard notification tool. The solution is easier to use for the notifier, and for the NPR, the received data are adapted for electronic case processing. The portal points towards a possible future introduction of automatic case processing of emigration notifications (at least the simplest ones).

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20. Nowadays, people are used to and expect relatively advanced digital portals, so it was not a surprise that the pilot4 introduced in May 2023 was well received by the public. However, the NPR's expectations about the effects were far exceeded, as the pilot caused the number of emigration notifications to increase by as much as 50 per cent! Preliminary analyses indicate that most of the increase consisted of stays abroad that were planned to be relatively short.

21. It should be kept in mind, however, that some of the extra notifications may belong to notification categories that are relatively often rejected (see below about "Step 2").

22. It is too early for SSB to study the effects of the emigration portal, but it will be done as soon as the observation period is long enough. A question we have is whether the extra notifications, first and foremost, are stays abroad that previously were not detected or if, in the future, the percentage of self-reported emigration will be higher at the expense of the administratively registered emigrations.

2. Step 2: The NPR decides if the notification meets the conditions for registration as emigration

23. Based on the information received, the NPR authorities decide whether the migrant should be registered as emigrated from Norway.

24. The main principle for handling an emigration case is that a person will not be classed as emigrated if they maintains a clear connection to Norway. Emphasis will be given to whether the person has an independent dwelling in the next country of residence, does not have a dwelling in Norway, does not have a work-related connection to Norway, does not have a spouse and/or children in Norway and does not have more than sporadic stays in Norway during a year. The length of stay is also significant but is not specified. How short stays (longer than 6 months) the NPR has accepted has varied somewhat over the years.

25. In short, the connection to Norway and the connection to the country of immigration are weighed against each other, and the result of this assessment leads to the decision. If the connection to Norway is considered the strongest, the notification is rejected, and the residence status remains 'Resident'.

26. From a statistical point of view, at least two considerations make the rules stricter than ideal: the wish to 1) keep families together as economic units and thereby avoid tax evasion and 2) reduce difficulties for Norwegian students abroad by continuing their status as resident in Norway.

C. Source 2: Notification from a Nordic NPR

27. The Nordic agreement on national population registration regulates the registration of migration between the Nordic countries. Apart from rationalising national population registration, it ensures that each inhabitant is continuously registered as a resident in one country within the Nordic region. No intra-Nordic migrant should, not even for a short period, be without a registered residence in a Nordic country, and no one should be registered as resident in two countries simultaneously.

4 The pilot solution could be used by a majority of the emigrants.

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28. When the migrant has notified the NPR of the receiving country and the person is accepted as an immigrant there, information is sent back to the migrant-sending country. In that country's NPR, the person's status is (mainly) automatically changed from 'resident' to 'emigrated'. The official date of immigration in the receiving country is used as the emigration date in the sending country's register.

V. When people do not comply with the duty to notify a stay abroad

29. Administrative systems are not perfect. Technical or human errors are made. In registers, necessary data may be missing. And last but not least, the citizens do not necessarily notify the NPR when moving house.

30. For these reasons, an NPR must devote some of its resources to detecting and repairing errors and other quality issues. In the Norwegian NPR, most of this activity is labelled "control work". This work is not limited to issues related to 'place of residence', but these issues make up a substantial part of the efforts. Here, we will focus on the control work relevant to the quality of emigration registration.

31. Ensuring that individuals who have moved to other countries are no longer registered as residents in Norway remains a pivotal responsibility for the NPR authorities (Stortinget, 2019).

(b) The scale of administrative emigration

32. Judged by the percentage of emigration events with an unknown country of next residence, administrative emigration was once an exception. However, a few years into this century, the proportion of administrative emigrations increased yearly. In 2003, the percentage was around 15; ten years later, it had increased to 35.

33. In 2019, mass media revealed that the NPR, by accident, had emigrated some homeless people, and the control measures were cancelled until they had made enough improvements to continue. Therefore, administrative emigrations dropped from 11 800 to 6 3005. The NPR managed to emigrate some of them before the pandemic started in March 2020, disturbing the work again. From 2020, the percentage of administrative emigration has been 40-50 per cent.

D. Some changes in the control work since one or two decades ago

34. As an indication of erroneous addresses, returned post were once the most significant source for the emigrating of people administratively. Then, a few years into this century, the most common source became information on expired residence permits received from the Norwegian Directorate of Immigration (UDI)6.

35. When, in 2009, the fast-increasing group of non-Nordic EU citizens no longer needed a residence permit, the challenges to maintaining the NPR's quality increased substantially.

5 See SSBs response in the box named “Artificially emigration count in 2019” at the bottom of this article: https://www.ssb.no/en/befolkning/artikler-og-publikasjoner/population-growth-at-39-400-in-2019 6 At that time the Norwegian and Nordic citizens were the only ones who did not need a residence permit. The Nordic citizens did not cause problems since most of them returned to their homeland where their migration was captured thanks to the Nordic agreement.

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36. Soon after, legislation, signs-of-life methods and routines were developed. In that way, even those who did not need a time-limited residence permit could potentially be covered by the administrative emigration measures. Among the developments was the use of an existing variable and value for "without a permanent place of residence" (meant initially for homelessness) as a "waiting room" before possible emigration two years later (see more about that below).

37. Postal returns continued to play a role in the control work, but gradually, it had to rely more on the newly developed methods.

(c) More recent developments as a result of the modernisation

38. The new NPR legislation stipulated a new division of responsibility within the broader NPR system, which means that the UDI now handles expired residence permits and sends lists of those who should be emigrated to NPR. The NPR is no longer an authority in these cases.

39. Before, control work was conducted (not fully coordinated) in each of the five tax regions, but with the new centralised organisation, a specialised unit responsible for the control work in the entire country was established.

40. The new IT solutions are another positive change, even for that unit. A system for electronic case processing makes the work a lot easier.

E. More about the control work regarding place of residence

41. In a legal context, a "discrepancy" refers to a difference or inconsistency between two or more pieces of information. A discrepancy doesn't necessarily imply an error has been made or that someone is at fault. However, it can raise questions or suspicions needing further clarification.

42. All cases concerning a person's place of residence commence with an indication that the residential address registered in the NPR does not align with the person's actual residence. This indication needs to be relatively recent to be useful.

43. The NPR may have detected discrepancies through its activities, or more commonly, the discrepancies are reported as tips from external sources such as private individuals, public agencies, institutions, or businesses. Public users of the NPR are obliged to report when their information differs from what is recorded in the NPR. For further details about tips, refer to: https://www.skatteetaten.no/en/person/national-registry/discrepancies-population-register/.

44. One can distinguish between ad-hoc tips and planned information sent regularly. There is at least one submission of the latter type, namely the monthly lists from SSB (further details below).

45. The discrepancies are checked. Writing to the individual not found at the registered address or to the property owner serves both as a legal obligation to the individual (in compliance with the Public Administration Act) and as a means of gathering information for the case.

46. The following is how section 11-2 in the NPR Act deals with the control of residential addresses:

47. "If the NPR authority suspects that a registered address of residence is incorrect or that a stated address of residence in the notification is incorrect, it may a) request a more detailed explanation from the person concerned, even about their residence, b) obtain information from a homeowner or landlord about who lives or stays at the property c) obtain information

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from postal providers, e-com providers, network companies and electricity suppliers about the person concerned's customer relationship.

48. To detect errors in the registration of residence, the NPR can obtain information from postal providers about registered persons for electronic comparison with the information in the register".

49. Depending on the findings or feedback, the NPR authority may make an administrative decision on the person's status. If no response is received within two weeks following the expiration of the appeal period, the decision is effectuated, which means that the NPR is changed according to the decision.

(d) When no one has any idea of where the person has gone

50. Without any information about a person's whereabouts, the "Unknown Place of Residence" (UPR) status will be assigned. "UPR" implies that the address below the municipal level is deleted, but the person remains a resident of Norway7.

51. Usually, a person in Norway will become aware of the missing address and contact the NPR, where the residential address will be corrected. If, however, 2 years have passed without any reaction from the person, the NPR control work unit performs checks again, and if nothing new happens, the person will be registered as emigrated.

(e) The available information says that the person has left Norway

52. Another type of person-address inconsistency is when the received information indicates with enough certainty that the person no longer stays in Norway. One example is when a house owner knows a former tenant has left the country. In such cases, the person is emigrated directly without a two-year wait.

F. Lists of people with discrepancies produced by SSB

53. In 2013, probably inspired by the EU project Blue-Ets8, a data processing agreement was made between the NPR and SSB. Once a month, SSB should deliver lists of predefined discrepancies identified in the data received from the NPR.

54. The lists contain different kinds of inconsistent, missing or unreliable data. Some apply to, e.g., marital status information and the reference to the spouse or other data that is irrelevant to the quality of the place of residence information.

55. However, at least one list is beneficial for the latter purpose: A list of unnaturally big households (considered the dwelling size). This list is, in fact, among the most important tips sources for the NPR. NPR starts the process by asking the owner of the overpopulated dwelling who is living there in reality. The persons who are no longer residents are investigated further, and usually, the result is that they are flagged as UPR.

56. At the end of 2023, the control work unit hinted that from now on, they would be able and prefer to be self-sufficient – while SSB, for its part, indicated this particular cooperation had run its course. Recently, know-how has been transferred from SSB to NPR, and the development work is underway this spring.

7 The status UPR was introduced in Freg. Unklike its predecessor in the old CPR (i.e. “without a permanent place of residence”), UPR is dedicated to the control work. 8 https://cordis.europa.eu/project/id/244767/reporting

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G. Control measures in practice

57. Each autumn, a plan is made for the activity of the coming year. In that plan, the different control measures are outlined. They vary a lot in size and other characteristics. Each control measure can be seen as a package of definitions, justification, assessments of the effects, the method, schedule, use of resources, etc.

58. No control measure aims to reach a broad and weakly specified target group – like a blind "scanning" of the population. That would be too costly regarding the use of resources and the bothering of many people who have everything in order. Besides, it would not be acceptable otherwise.

59. Instead, each proposal for a control measure goes through an analysis to ensure that the measure is cost-effective and only those passing that test are implemented. There is no check that these pointed measures will cover all population groups one may think of as problematic in terms of the quality of place of residence. However, there is reason to believe that if someone is not covered by one particular measure, another measure will capture that case.

H. Three control measures leading directly to administrative emigration

60. There are three control measures designed particularly for identifying and emigrating those who have not complied with the duty to notify their move from Norway:

3. 1) A yearly clean-up of the non-Nordic EEA citizens

61. An extract is made based on criteria that may change from year to year. In 2023, the criteria were as follows:

• EEA citizens from outside the Nordic countries who have lived at the same address in Norway for the last 3 years

• Between 26 and 70 years old • Not married to a Norwegian citizen • Does not have joint children with a partner who is a Norwegian citizen • Does not have a cohabitant with common children where the cohabitant has an income • No income in 2021 over NOK 100,000 (according to the tax return) • No income in 2022 over approx. NOK 10,000 (according to a reporting system for wages and jobs) • Does not own a home in Norway • Does not have a spouse who has income in 2022 • Has not received social benefits or housing benefits in the last 2 years • Does not have an active company in Norway (i.e. with turnover)

62. Those who meet all these criteria will be notified about the decision to emigrate them. If there is no response or substantiated settlement in Norway, they will be registered as having emigrated. In 2023, approx. 5,000 people were registered as emigrated this way.

4. 2) A yearly clean-up of people without a known place of residence for at least 2 years

63. Note that this measure represents the last step in a course that started with tips or other control measures that did not necessarily suspect a non-reported emigration. Several

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measures may, therefore, have the same eventual effect as those meant to lead to direct emigration.

64. Apart from being UPR for more than two years and not included in any of the other two measures, the criteria for the extract are these:

• Has income above 1G (≈ a 6th or 7th of median income in Norway) in the previous year • Has business income in the previous year • Owns property in Norway • Runs a Norwegian company • In addition, separate assessments are made for children without parents on the same control measure list and

people who receive various benefits from the Norwegian Welfare and Labour Administration. • Assessments are also made against the previous case history, if applicable.

65. The persons are emigrated after the same process as in the measure above. In 2023, that applied to just under 500 people.

5. 3) Monthly lists from the UDI of residents with expired residence permits

66. Since only third-country nationals need a residence permit, this measure applies solely to them. For the entire year, the monthly lists contain approximately 2,400 people still registered as residents but no longer have valid residence permits. The numbers vary somewhat during the year. In this measure, the expired residence permit is not just an "indication" of non-residence since the law simply does not allow this category to be registered as a resident in Norway.

67. Even when the NPR was responsible for this control measure, it could take some time from the expiry date to the decision on the eventual emigration. However, the lists now arrive 6-7 months after expiration. The UDI possibly put more effort into preventing incorrect emigration registrations than the NPR once did.

68. Around half of the non-EEA citizens in Norway usually have a permanent residence permit. Since these people must have stayed in Norway for some years, they may be more settled, which will consequently cause fewer non-reported emigration events from them. In any case, only the general control measures may capture this category.

6. Another control measure with relevance to emigration: The administrative survivors

69. After a hint from SSB, a control measure directed towards the so-called administrative survivors will be implemented in 2024. The administrative survivors are those who get older and older since neither their possible death in Norway nor their move abroad was registered in the NPR when many years ago the event occurred. Unfortunately, the number of these people has been allowed to grow in recent years, and there are now 30-40 people above a natural age in Norway. The NPR must check if any of them once could have died in Norway, but probably all of them will be emigrated.

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I. Statistics and analyses about the source of emigration

70. The data's most accessible emigration source to identify is 'Nordic NPR' since a recorded Nordic country of next residence (back to the 1950s) always implies that source. Unknown country of next residence indicates (however, with less accuracy) an administrative emigration.

71. Since 2011, the NPR has registered whether the source of the emigration was a Notification or Decision.

72. Then, in Freg's new case processing system, the emigration source variable distinguishes between 'inhabitant', 'Nordic NPR', 'UDI', 'NPR authorities' and 'bulk handling [by the NPR]'9. The latter category includes the two control measures for EEA citizens and persons who have been UPR for two years.

73. The pandemic created anomalies in migration patterns and their registration. Freg was new in that period and is still under development. SSB's experience with some of the new Freg variables is short. For these reasons and others, it is too early to exploit the new 'source of emigration' variable in statistics and analyses.

Figure 1. Source of emigration registration. 2023

Source: Statistics Norway

J. An epilogue about the clean-up of EEA citizens

74. In February 2024, a legal unit in the Tax Administration stopped the EEA citizen control measure (as planned for 2024). As an automatic measure, it does not comply with GDPR if the detected people's residence has not been unknown for two years before the decision to emigrate them.

75. Currently, the alternatives are discussed. One possible outcome is to continue the measure but let UPR and not emigration be the immediate effect. Assuming that the number of detected cases will continue to be 5,000 a year, with this outcome, the over-coverage will increase by 5,000 in 2024 and 5,000 more in 2025 before stabilising at 10,000 higher than today.

9 Their respective extraction and effectuating dates can distinguish the two bulk-handling control measures.

Inhabitant 41%

Nordic NPR 19%

UDI 10%

NPR authority

13%

Bulk handling

17%

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76. It should be noted that those detected by this measure probably already have been abroad for two years since the income criteria indicate that, and consequently, their position as "dead souls" in the Norwegian population in future may last as long as four years.

VI. Consequences for the quality of the NPR

K. The emigration events are eventually detected, but the data quality is harmed

77. Since the users of NPR data receive information on emigration events after a substantial proportion of them have been decided administratively, an impulsive reaction would be to blame the control work for the lower data quality of these emigrations. That would, of course, be a short circuit since the root cause is non-compliance with the duty to notify of a move abroad. Administrative emigration can be compared to a necessary medicine that, unfortunately, has some adverse effects that the patient must accept. These effects affect the quality of the emigration data and the quality of data on the resident population.

78. What characterises administrative emigration events is that their recording is delayed – sometimes a lot – and that some information about the emigration is unknown to those who do the recording.

79. Administrative emigrations usually have three problems with time: 1) The certainty of all emigration events being discovered sooner or later is a meagre consolation for most users. It may take a long time before detection, and the long delay causes different unfortunate issues. Then, 2) the event's official date is often far from reality. Finally, 3) the distribution of these dates over the calendar year may be uneven, which is a challenge for reference periods that are shorter than a year.

80. Later event dates than reality means that the stay in Norway will be measured as longer than they were in reality, and the emigration age will be higher than the real age. These prolongings and the low accuracy of the emigration dates have the relatively most significant consequences for the shortest stays.

L. Missing country of next residence

81. If the source of an administrative decision is the expired residence permit or UPR, it is impossible to know where the person has gone. However, when the source is a tip, information on the country of the next residence may occasionally be included in the received information. Anyway, after the control measures are finished, the result is a substantial number of missing entries for the country of the next residence in the data.

82. For most of the 1990s, the percentage of unknown country of next residence in Norwegian emigration statistics was around 5 per cent. Then, in 2003, the figure suddenly jumped to 13 per cent – increasing to 27 per cent in 2009 and 34 per cent in 2013. After that, several yearly percentages have been at this relatively high level. The highest percentage of unknown country of next residence was seen in 2021, with 48 per cent.

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M. Continuing but relatively stable over-coverage in the population

83. As long as a person's emigration remains unrecorded, the absence from the country causes a preliminary over-coverage in the population. In the answer to the Storting in 2019, the Minister of Finance explained the consequences of over-coverage (Stortinget, 2019). Interestingly, the answer refers thoroughly to the statistical consequences:

84. "Failure to register the emigration will have several consequences and may cause problems for actors, based on information from the NPR. Persons who do not reside in the country may unlawfully occupy places in the GP or contribute to the abuse of rights schemes. Furthermore, SSB's employment shares, educational frequencies, etc., will not be correct. Population projections will also be affected by this. These consequences will affect SSB's analyses and decision basis, so this will not be as high quality as it should."

VII. SSB's coping with the quality of the emigration data

85. For a user like SSB, the primary challenge in recent years has revolved around the technical adaptation to Freg. While some changes have presented difficulties for all users, SSB faces unique needs and priorities that differ from typical administrative agencies.

86. Nevertheless, potential advancements in statistics and alterations to production principles must await the implementation of a new IT infrastructure for SSB.

87. Despite this, former papers from 2012 and 2014 (Vassenden) continue to provide a reasonably comprehensive overview of SSB's situation and its population statistics, particularly concerning the handling of NPR data. Here, we highlight two issues:

N. Over-coverage from the perspective of SSB

88. This working paper has delineated NPR's endeavours to mitigate over-coverage in the population, which is pivotal for maintaining the quality of SSB's population statistics. NPR's application of signs-of-life methods addresses tasks typically undertaken by National Statistical Institutes in numerous other countries.

89. Nonetheless, SSB's over-coverage concept encompasses categories not covered by NPR's control work. In such instances, the term "unreported emigration" lacks precision, as individuals may have notified NPR of their emigration but have yet to acquire the registered status of 'emigrated'. However, when used by SSB, the term "unreported emigration" should not be construed as a legal designation but rather as an easily comprehensible expression.

90. Additionally, from SSB's vantage point, it seems unnatural to retain individuals who have likely left the country within the resident population for an additional two years, as NPR may need to do in some instances.

91. These clarifications imply that, for SSB, over-coverage encompasses certain categories that will never be officially registered as emigrated due to legislative constraints and those under scrutiny by NPR but not yet classified as such.

92. Nevertheless, it is convenient for SSB (and, in many ways, the principally right thing to do) to allow NPR to define demographic events and the resident population operationally. This enables SSB to focus on transforming data into statistics and enhancing the quality of specific variables.

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93. SSB's alternative to mirroring NPR involves establishing and managing a data correction system based on signs-of-life methods. However, this approach would not yield flawless data.

94. Thus far, SSB has deemed that the benefits of directly utilising NPR outweigh the drawbacks of including additional over-coverage cases within the resident population. SSB has not contemplated removing individuals from the resident population, as some other National Statistical Institutes may do. However, the future assessment of this issue remains subject to further consideration.

95. In response to the desire for a greater understanding of over-coverage, SSB conducted a study in 2023 (Krokedal, Nergård, and Kvalø, 2024). Among the findings, over-coverage in the population aged 15 years or older was estimated at 0.44 per cent or 20,000 individuals.

O. How long wait before extraction of data

96. The current practice for producing Norwegian population statistics is to extract data one month after the reference period/time ends.

97. Due to the electronic data communication introduced in Freg, most births and deaths are now registered in the NPR within a couple of days(!). The improvements in timeliness for these two population growth factors have been sensational.

98. The international migration events, however, have not seen the same improvements. The new emigration portal may contribute positively, and the same may happen for the forthcoming immigration portal. Still, it looks as if a one-month wait will continue to be necessary primarily because of the delayed emigration events10. This dilemma will have to be examined and discussed.

VIII. Conclusions

99. Reflecting on the past decade, SSB perceives a period marked by prolonged stability, albeit with recent challenges and transitions. Similarly, the control work conducted by the NPR has undergone significant development over the past ten years.

100. In the working paper of 2014, we concluded that "It should be possible to get more migrants to give notification of their migration themselves". A decade later, with the introduction of the emigration portal, the NPR has taken practical steps to encourage more migrants to notify their emigration.

101. Another consideration in 2014 was the prospect of greater internationalisation of administrative systems, such as the exchange of national insurance information within the EU/EEA. However, the NPR has had little to report on regarding relevant developments in this field.

102. The 2014 working paper discussed population over-coverage, indicating SSB as the only concerned party. A decade later, that statement appears outdated as more attention is now directed towards the over-coverage issue by other NPR users. This shift may be attributed to the NPR's strengthened position as a common infrastructure component in Norwegian

10 However, even some other demographic variables may profit from a on-month wait.

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society, with more users directly connected to Freg and utilising NPR's population definitions.

103. One objective of the new NPR Act was to enhance data exchange between NPR and other public agencies. However, the potential impact of GDPR on this aim raises questions. A few news reports suggest that GDPR pose challenges for Norwegian public administration, manifested, for example, in a tension between legal considerations and the need for an effective NPR reflecting reality.

104. SSB finds some developments from the NPR control work concerning, whereas others are promising. The future will reveal whether these developments will influence the production of population statistics.

Abbreviations and explanations Freg Name of the NPR as technical system NPR National Population Register SSB Statistisk sentralbyrå / Statistics Norway Stortinget The Norwegian parliament UPR Unknown place of residence UDI Utlendingsdirektoratet / The Norwegian Directorate of Immigration

References Krokedal, L., Negård, S and Kvalø, E. (2024): Uregistrert utvandring fra Norge. Kartlegging av omfanget. Notater 2024/3, Statistisk sentralbyrå [Unreported emigration from Norway. Mapping of the scale. Documents 2024/3, Statististics Norway] https://www.ssb.no/befolkning/flytting/artikler/uregistrert-utvandring-fra- norge/_/attachment/inline/2b780628-56b2-400c-ad12- 125a2b9894bc:a679064cdc81beb854dbbb730f1e0409780d1b7e/NOT2024-03.pdf

Stortinget (2019): Skriftlig spørsmål fra Lise Christoffersen (A) til finansministeren. [Written question from Lise Christoffersen (A) to the Minister of Finance]. https://www.stortinget.no/no/Saker-og-publikasjoner/Sporsmal/Skriftlige-sporsmal-og-svar/Skriftlig- sporsmal/?qid=76819

Vassenden, K. (2012): The data basis for more advanced statistics on international migration – the case of Norway. Working Paper 17, Economic Commission for Europe, Work Session on Migration Statistics, Geneva, 17-19 October 2012. https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.10/2012/WP_17_Norway.pdf The presentation: https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://unece.org/filead min/DAM/stats/documents/ece/ces/ge.10/2012/Presentations/17_20121018_ECE_Data_for_circular _migstat_Norway.ppt&ved=2ahUKEwi0vNaztKqFAxUSBxAIHR1YDp0QFnoECBAQAQ&usg=A OvVaw2B8oKy-K0N1zuQ-JzZP3uF

Vassenden, K. (2014): Measurement of emigration from Norway: the main issues and challenges. Working Paper 14, Economic Commission for Europe, Work Session on Migration Statistics, Chisinau, 10-12 September 2014. https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.10/2014/mtg1/WP_24_Norway_14.pdf

The presentation: https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.10/2014/mtg1/presentations/24._Norw ay_20140911b_Measurement_of_emigration_from_Norway.pdf

  • I. Introduction
  • II. General background for the topic
  • III. Comprehensive modernisation of the NPR system 2016-
  • IV. Emigration registration as it is supposed to work
    • A. The two normal sources for registration of emigration
    • B. Source 1: The migrants themselves
      • 1. Step 1: The duty to notify
        • (a) The new emigration portal
      • 2. Step 2: The NPR decides if the notification meets the conditions for registration as emigration
    • C. Source 2: Notification from a Nordic NPR
  • V. When people do not comply with the duty to notify a stay abroad
    • (b) The scale of administrative emigration
    • D. Some changes in the control work since one or two decades ago
      • (c) More recent developments as a result of the modernisation
    • E. More about the control work regarding place of residence
      • (d) When no one has any idea of where the person has gone
      • (e) The available information says that the person has left Norway
    • F. Lists of people with discrepancies produced by SSB
    • G. Control measures in practice
    • H. Three control measures leading directly to administrative emigration
      • 3. 1) A yearly clean-up of the non-Nordic EEA citizens
      • 4. 2) A yearly clean-up of people without a known place of residence for at least 2 years
      • 5. 3) Monthly lists from the UDI of residents with expired residence permits
      • 6. Another control measure with relevance to emigration: The administrative survivors
    • I. Statistics and analyses about the source of emigration
    • J. An epilogue about the clean-up of EEA citizens
  • VI. Consequences for the quality of the NPR
    • K. The emigration events are eventually detected, but the data quality is harmed
    • L. Missing country of next residence
    • M. Continuing but relatively stable over-coverage in the population
  • VII. SSB's coping with the quality of the emigration data
    • N. Over-coverage from the perspective of SSB
    • O. How long wait before extraction of data
  • VIII. Conclusions
  • Abbreviations and explanations
  • References

DC2024_S1_Norway_Jensen_A.pdf

Languages and translations
English

1

UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Expert Meeting on Statistical Data Collection and Sources 22-24 May 2024, Geneva, Switzerland

19 April 2024

Use of non-survey data in production of official statistics

Roger Jensen (Statistics Norway, Norway) [email protected] Abstract In Statistics Norway’s strategy, one of the main goals is to collect, use and share data for the benefit of the entire society. Statistics Norway’s management documents emphasize that Statistics Norway must utilize the growth in new data sources for statistical purposes, and that new data sources can contribute to realizing Statistics Norway’s focus areas. This paper concentrates on Statistics Norway’s use of existing data sources that were not originally intended for official statistical purposes, but which can be processed and reused for such purposes. It includes both administrative and other data and is referred to in international literature as “non-survey data”. Such data differ from data collected via statistical surveys. The paper first provides an overview of non-survey data that can be useful for official statistics, along with key aspects most relevant to this discussion. Then we summarize Statistics Norway’s most important experiences so far with the collection of non-survey data. Finally, the main directions for the further work with the use of such data are outlined.

  • Use of non-survey data in production of official statistics

Presentation, Kari-Anne Lund (Statistics Norway)

Languages and translations
English

Quality in official statistics based on reports from child

respondents

UNECE/UNICEF EXPERT MEETING ON STATISTICS ON CHILDREN, 4TH – 6TH MARCH 2024

PALAIS DES NATIONS, GENEVA, SWITZERLAND

Child respondents

Individuals younger than 18 16+: As adults

6-15: Design with extra care

0-5: No surveys

Statistics on children is a prioritized area in the National Program for Official Statistics 2024-2027

Photo: Colourbox

Give children an opportunity to tell about their lives

• One questionnaire for all

• Rough split in above/under 16

years

• Invitation letter to parents only

• No specific interviewer training

The starting point (2021-)

Background

Cultural Activity Survey Media Use Survey

Time Use Survey Living Conditions Survey among Children

Key characteristics

• Children in the sample

• Web data collection

• Questions about behaviour

From CATI to CAWI: benefits and pitfalls

• Vulnerable respondents may struggle

• Much information must fit on small screens

• Children need to know how to read

• Instructions are usually not read

• Reduced cost

• Speedy data collection

• Interviewers reallocated to recruit

• Respondents decide the pace of the interview

• Less risk for social desirability bias

Qualitative user testing

• 50+ cognitive tests

• Response process

• F2F online with screen sharing

• Realistic testing

• Focus on childrens voice

Key takeaways

• Simplifying the questionnaire is valuable for

all age groups

• User testing with children of different ages is

key!

• Be aware that child respondents are more sensitive

• Make sure to start with easy questions and avoid long sequences of less

relevant questions

Initiatives in SSB

• Cross-sectional working group on

child respondents

• Focus group with interviewers

• Mapping and analysing the impact

of who responds to the survey

questions

• Tailored questionnaires to children

• Nuanced age filters U16/U12

• Invitation letter to children

• Specialist interviewer training

• Recommendations

Goal (-2027)

References • Biemer, P. P., & Lyberg, L. E., (2020). Total Survey Error, In P. Atkinson, S. Delamont, A.

Cernat, J.W. Sakshaug, & R.A. Williams (Eds.), SAGE Research Methods

Foundations. https://doi.org/10.4135/9781526421036888444

• https://www.istat.it/it/files/2013/12/Handbook_questionnaire_development_2006.pdf

• https://www.ssb.no/omssb/nasjonalt-program-for-offisiell-

statistikk/statistikkprogrammets-omfang-og-innhold/_/attachment/inline/9c8f4391-

e951-44b0-b33b-

40d78b3d9b9b:997f7fa9a2dcf1a6e97e6a1c47fdace26aad5086/Nasjonalt%20statistikkp

rogram%202024-2027.pdf

• https://unece.org/sites/default/files/2022-10/ECECESSTAT20225.pdf

Photo credits • PPT2: https://www.regjeringen.no/no/tema/lov-og-rett/innsikt/lover-og-lovarbeid/id2006116/, https://www.sitepoint.com/proper-error-

handling-javascript/

• PPT3, 8, 10 and 14: Colourbox

• PPT4: https://www.uia.no/om-uia/fakultet/fakultet-for-helse-og-idrettsvitenskap/nytt-fra-fakultetet/hvorfor-sitte-inne-naar-alt-haap-er-ute

• PPT5 and PPT12: https://www.freepik.com/premium-vector/human-footsteps-path-bare-feet-imprint-footprints-white-

background_25875098.htm

• PPT6: https://www.ssb.no/kultur-og-fritid/kultur/statistikk/norsk-kulturbarometer, https://www.ssb.no/kultur-og-fritid/tids-og-

mediebruk/statistikk/tidsbruksundersokelsen, https://www.ssb.no/innvandring-og-innvandrere/faktaside/innvandring

• PPT7: https://www.reddbarna.no/vart-arbeid/barn-i-norge/nettvett/

• PPT9: https://www.aftenposten.no/foreldreliv/i/a7Xv0d/er-det-blitt-litt-mye-skjerm-i-sommer-hjerneforskeren-har-syv-raad-til-foreldre-ved-

overgangen-til-hverdagen

• PPT11: https://depositphotos.com/no/vector/vector-of-a-repair-man-holding-toolbox-341976734.html?qview=53622811

JQ2022NOR

JFSQ2022 Country Replies Norway

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. Please use only this questionnaire to report your data. Use this questionnaire also to revise any historical data - fill in the correct year and your name on the cover page. The total number of sheets to be filled in is seven core sheets (green tabs - to be validated by Eurostat) plus three for ITTO (brown tabs - not validated by Eurostat). Four sheets containing cross-references are included at the end. The flat file is for Eurostat for validation purposes, please do not change any cells here. Also, please do not add / delete rows in any of the sheets, because this will affect the functioning of the flatfile. 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. below) 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 green 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, but please fill in all the cells that were filled in previously. Please use flags and notes (see A.6 below). 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: 2022). A.2 Fill in the JFSQ quality report each year. 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 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 zeros '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. 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.6). • 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.6 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: • 3 for break in time series, see metadata (please explain in the notes and in the quality report the reasons) • 4 for definition differs, see metadata (please explain in the notes and in the quality report the reasons) • 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' contains a checking table for apparent consumption. 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' 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. 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 Norway
Contact organisation Contact organisation Statistics Norway
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? NO
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. Roundwood removal statistics and national trade statistics from Statistics Norway; data on forestry industry production from the National timber industry associatoion, data on sawnwood from Norwegian Institute of Wood Technology, data on rondwood for firewood production, collected as a sample survey, Statistics Norway; Norwegian organisation of Bienergy, data on production of pellets. Data on wood based panels from The Construction Products Association.
Do you use a dedicated survey (of the industry, of households, of forest owners, etc.)? NO
If yes, please provide details (e.g., who are the respondents, what is its frequency?).
Do you use forestry statistics? YES
If yes, please provide details. Roundwood removals
Do you use national forest inventory? NO
If yes, please provide details.
Do you use national PRODCOM data compiled according to the CPA classification? NO
If yes, please provide details (which products, units, etc.).
Do you use any other national production statistics? NO
If yes, please provide details.
Do you use data collected by associations of industry? YES
If yes, please provide details. Data on forestry industry production from the National timber industry associatoion and data on wood based panels from The Construction Products 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)? NO
If yes, please provide details.
Do you use national trade data? YES
If yes, please provide details. National trade statistics, registerbased statistics from Statistics Norway.
Do you use felling reports? YES
If yes, please provide details. Roundwood removals statistics are based on all national felling reports
Do you use forestry companies' accounting network? NO
If yes, please provide details.
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. Data on recovered wood production
Do you use other statistics (e.g. agriculture statistics)? NO
If yes, please specify them.
Do you use any other sources? NO
If yes, please specify them.
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. Checing previous year data.
Do you compare JFSQ data with different data sources or do you perform other cross-checks? YES
If yes, please explain your approach. Compare with national statistics.
Do you have validation rules and other plausibility checks for the outputs of your JFSQ data compilation process? NO
If yes, please briefly describe them.
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? NO
It not, please explain.
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. Production of wood energy and roundwood.
Coherence - internal Are there any other consistency issues related to your JFSQ data? NO
If yes, please explain them.
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? NO
If yes, please provide URLs.
Quality documentation Do you have national quality documentation? NO
If yes, please provide URLs.
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.

Cover

Joint Forest Sector Questionnaire
2022
DATA INPUT FILE
Correspondent country: NO
Reference year: 2022 Fill in the year
Name of person responsible for reply:
Official address (in full): Statistics Norway
Telephone:
Fax:
E-mail:

Removals over bark

Country: NO Date:
Name of Official responsible for reply: 0
Check Table
Official Address (in full):
Statistics Norway
FOREST SECTOR QUESTIONNAIRE
EU JQ1 OB 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 2021 2022 2021 2022 2021 2022 Product Product Unit 2021 2022
Code Quantity Quantity Code Quantity Quantity
ROUNDWOOD REMOVALS OVERBARK ROUNDWOOD REMOVALS OVERBARK
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob 14419.587 14486.661 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob OK OK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob 1807.585 1807.585 9 9 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob OK OK
1.1.C Coniferous 1000 m3ob 650.348 650.348 9 9 1.1.C Coniferous 1000 m3ob
1.1.NC Non-Coniferous 1000 m3ob 1157.237 1157.237 9 9 1.1.NC Non-Coniferous 1000 m3ob
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob 12612.002 12679.076 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.C Coniferous 1000 m3ob 12268.605 12434.179 1.2.C Coniferous 1000 m3ob OK OK
1.2.NC Non-Coniferous 1000 m3ob 343.397 244.897 1.2.NC Non-Coniferous 1000 m3ob OK OK
1.2.NC.T of which: Tropical 1000 m3ob 0.000 0.000 1.2.NC.T of which: Tropical 1000 m3ob OK OK
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob 7462.883 7466.363 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob OK OK
1.2.1.C Coniferous 1000 m3ob 7461.115 7464.007 1.2.1.C Coniferous 1000 m3ob
1.2.1.NC Non-Coniferous 1000 m3ob 1.768 2.356 1.2.1.NC Non-Coniferous 1000 m3ob
1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob 5054.671 5160.438 1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob OK OK
1.2.2.C Coniferous 1000 m3ob 4713.041 4917.898 1.2.2.C Coniferous 1000 m3ob
1.2.2.NC Non-Coniferous 1000 m3ob 341.629 242.541 1.2.2.NC Non-Coniferous 1000 m3ob
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob 94.448 52.274 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.3.C Coniferous 1000 m3ob 94.448 52.274 1.2.3.C Coniferous 1000 m3ob
1.2.3.NC Non-Coniferous 1000 m3ob 0.000 0.000 1.2.3.NC Non-Coniferous 1000 m3ob
To fill: 0 0
Product Product Unit 2021 2022
Code CF CF
OVERBARK/UNDERBARK CONVERSION FACTORS
1 ROUNDWOOD (WOOD IN THE ROUGH) m3/m3 1.096 1.096
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) m3/m3 1.060 1.060
1.1.C Coniferous m3/m3 1.060 1.060
1.1.NC Non-Coniferous m3/m3 1.060 1.060
1.2 INDUSTRIAL ROUNDWOOD m3/m3 1.101 1.101
1.2.C Coniferous m3/m3 1.100 1.100
1.2.NC Non-Coniferous m3/m3 1.150 1.150
1.2.NC.T of which: Tropical m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1 SAWLOGS AND VENEER LOGS m3/m3 1.100 1.100
1.2.1.C Coniferous m3/m3 1.100 1.100
1.2.1.NC Non-Coniferous m3/m3 1.150 1.150
1.2.2 PULPWOOD, ROUND AND SPLIT m3/m3 1.103 1.102
1.2.2.C Coniferous m3/m3 1.100 1.100
1.2.2.NC Non-Coniferous m3/m3 1.150 1.150
1.2.3 OTHER INDUSTRIAL ROUNDWOOD m3/m3 1.100 1.100
1.2.3.C Coniferous m3/m3 1.100 1.100
1.2.3.NC Non-Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!

JQ1 Production

Country: NO Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ1 Statistics Norway
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 2 Flag Flag Note Note
Product Product Unit 2021 2022 2021 2022 2021 2022 Product Product Unit 2021 2022 2021 2022 % change Conversion factors
Code Quantity Quantity Code Quantity Quantity Roundwood Industrial roundwood availability Missing data -2,094,147 missing data m3 of wood in m3 or t of product
ALL REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) ALL REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) Recovered wood used in particle board 111 100 -10% Solid wood equivalent
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 13157.152 13222.022 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK Solid Wood Demand agglomerate production 150 188 26% 2.4
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 1705.269 1705.269 9 9 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK Sawnwood production 2,809 2,705 -4% 1
1.1.C Coniferous 1000 m3ub 613.536 613.536 9 9 1.1.C Coniferous 1000 m3ub veneer production Missing data Missing data missing data 1
1.1.NC Non-Coniferous 1000 m3ub 1091.733 1091.733 9 9 1.1.NC Non-Coniferous 1000 m3ub plywood production Missing data Missing data missing data 1
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 11451.883 11516.753 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK particle board production (incl OSB) 318 285 -10% 1.58
1.2.C Coniferous 1000 m3ub 11153.277 11303.799 1.2.C Coniferous 1000 m3ub OK OK fibreboard production 181 169 -7% 1.8
1.2.NC Non-Coniferous 1000 m3ub 298.606 212.954 1.2.NC Non-Coniferous 1000 m3ub OK OK mechanical/semi-chemical pulp production 902 943 5% 2.5
1.2.NC.T of which: Tropical 1000 m3ub 0.000 0.000 1.2.NC.T of which: Tropical 1000 m3ub OK OK chemical pulp production 152 155 2% 4.9
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 6784.369 6787.510 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 6782.832 6785.461 1.2.1.C Coniferous 1000 m3ub Availability Solid Wood Demand missing data missing data missing data
1.2.1.NC Non-Coniferous 1000 m3ub 1.537 2.049 1.2.1.NC Non-Coniferous 1000 m3ub Difference (roundwood-demand) missing data missing data missing data positive = surplus
1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub 4581.652 4681.721 1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub OK OK gap (demand/availability) missing data missing data Negative number means not enough roundwood available
1.2.2.C Coniferous 1000 m3ub 4284.583 4470.816 1.2.2.C Coniferous 1000 m3ub Positive number means more roundwood available than demanded
1.2.2.NC Non-Coniferous 1000 m3ub 297.069 210.905 1.2.2.NC Non-Coniferous 1000 m3ub
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 85.862 47.522 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK
1.2.3.C Coniferous 1000 m3ub 85.862 47.522 1.2.3.C Coniferous 1000 m3ub % of particle board that is from recovered wood 35%
1.2.3.NC Non-Coniferous 1000 m3ub 0.000 0.000 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 t 2 WOOD CHARCOAL 1000 t
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 2713.748 2715.004 9 9 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 1763.936 1764.7526 9 9 3.1 WOOD CHIPS AND PARTICLES 1000 m3
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 949.812 950.2514 9 9 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3
3.2.1 of which: Sawdust 1000 m3 3.2.1 of which: Sawdust 1000 m3 OK OK
4 RECOVERED POST-CONSUMER WOOD 1000 t 818.000 801.000 4 RECOVERED POST-CONSUMER WOOD 1000 t
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 188.400 188.400 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK
5.1 WOOD PELLETS 1000 t 150.000 150.000 5.1 WOOD PELLETS 1000 t
5.2 OTHER AGGLOMERATES 1000 t 38.400 38.400 5.2 OTHER AGGLOMERATES 1000 t
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 2808.777 2704.617 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK
6.C Coniferous 1000 m3 2808.777 2704.617 6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3 0.000 0.000 6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3 0.000 0.000 6.NC.T of which: Tropical 1000 m3 OK OK
7 VENEER SHEETS 1000 m3 7 VENEER SHEETS 1000 m3 OK OK
7.C Coniferous 1000 m3 7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3 7.NC.T of which: Tropical 1000 m3 OK OK
8 WOOD-BASED PANELS 1000 m3 498.947 453.753 8 WOOD-BASED PANELS 1000 m3 OK OK
8.1 PLYWOOD 1000 m3 8.1 PLYWOOD 1000 m3 OK OK
8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3 8.1.NC.T of which: Tropical 1000 m3 OK OK
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 OK OK
8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous 1000 m3
8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous 1000 m3
8.1.1.NC.T of which: Tropical 1000 m3 8.1.1.NC.T of which: Tropical 1000 m3 OK OK
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 317.947 284.753 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 0.000 0.000 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK
8.3 FIBREBOARD 1000 m3 181.000 169.000 8.3 FIBREBOARD 1000 m3 OK OK
8.3.1 HARDBOARD 1000 m3 57.000 51.000 8.3.1 HARDBOARD 1000 m3
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 0.000 0.000 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3
8.3.3 OTHER FIBREBOARD 1000 m3 124.000 118.000 8.3.3 OTHER FIBREBOARD 1000 m3
9 WOOD PULP 1000 t 1054.000 1,098.000 9 WOOD PULP 1000 t OK OK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 902.000 943.000 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t
9.2 CHEMICAL WOOD PULP 1000 t 152.000 155.000 9.2 CHEMICAL WOOD PULP 1000 t OK OK
9.2.1 SULPHATE PULP 1000 t 0.000 0.000 9.2.1 SULPHATE PULP 1000 t
9.2.1.1 of which: BLEACHED 1000 t 0.000 0.000 9.2.1.1 of which: BLEACHED 1000 t OK OK
9.2.2 SULPHITE PULP 1000 t 152.000 155.000 9.2.2 SULPHITE PULP 1000 t
9.3 DISSOLVING GRADES 1000 t 0.000 0.000 9.3 DISSOLVING GRADES 1000 t
10 OTHER PULP 1000 t 0.000 0.000 10 OTHER PULP 1000 t OK OK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 0.000 0.000 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t
10.2 RECOVERED FIBRE PULP 1000 t 0.000 0.000 10.2 RECOVERED FIBRE PULP 1000 t
11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER 1000 t
12 PAPER AND PAPERBOARD 1000 t 1010.000 1,036.000 12 PAPER AND PAPERBOARD 1000 t OK OK
12.1 GRAPHIC PAPERS 1000 t 838.000 864.000 12.1 GRAPHIC PAPERS 1000 t OK OK
12.1.1 NEWSPRINT 1000 t 471.000 505.000 12.1.1 NEWSPRINT 1000 t
12.1.2 UNCOATED MECHANICAL 1000 t 367.000 359.000 12.1.2 UNCOATED MECHANICAL 1000 t
12.1.3 UNCOATED WOODFREE 1000 t 0.000 0.000 12.1.3 UNCOATED WOODFREE 1000 t
12.1.4 COATED PAPERS 1000 t 0.000 0.000 12.1.4 COATED PAPERS 1000 t
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 22.000 23.000 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t
12.3 PACKAGING MATERIALS 1000 t 150.000 149.000 12.3 PACKAGING MATERIALS 1000 t OK OK
12.3.1 CASE MATERIALS 1000 t 18.000 14.000 12.3.1 CASE MATERIALS 1000 t
12.3.2 CARTONBOARD 1000 t 0.000 0.000 12.3.2 CARTONBOARD 1000 t
12.3.3 WRAPPING PAPERS 1000 t 42.000 40.000 12.3.3 WRAPPING PAPERS 1000 t
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 90.000 95.000 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 0.000 0.000 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 44.895 42.380 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 OK OK
15.1 GLULAM 1000 m3 44.895 42.380 15.1 GLULAM 1000 m3
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3
16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 1000 t
1 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included here
To fill: 17 17
m3ub = cubic metres solid volume underbark (i.e. excluding bark)
m3 = cubic metres solid volume
t = metric tonnes
https://www.fao.org/3/cb8216en/cb8216en.pdf

JQ2 Trade

61 62 61 62 91 92 91 92
FOREST SECTOR QUESTIONNAIRE JQ2 Country: NO 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): Statistics Norway 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
E-mail: 0 Country: NO NO V no value reported Treshold: 2 verifies whether the JQ2 figures refers only to intra-EU trade
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 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 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 code 2021 2022 2021 2022 code 2021 2022 2021 2022 code Product unit 2021 2022 2021 2022 IMPORT EXPORT code Product unit 2021 2022 2021 2022
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 556.781 499562.000 654.976 872123.000 3964.338 2390363.000 4359.446 3038717.000 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 9,750 9,518 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 897 1332 603 697 ACCEPT ACCEPT 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 207.413 235556.000 270.608 480976.000 90.936 20741.000 90.374 39579.000 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 1,822 1,886 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 1136 1777 228 438 ACCEPT ACCEPT 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3
1.1.C Coniferous 1000 m3ub 7.548 11059.000 8.118 16838.000 83.994 15270.000 72.369 21138.000 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub 537 549 1.1.C Coniferous NAC/m3 1465 2074 182 292 ACCEPT ACCEPT 1.1.C Coniferous NAC/m3
1.1.NC Non-Coniferous 1000 m3ub 199.865 224497.000 262.49 464138.000 6.942 5471.000 18.005 18441.000 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub 1,285 1,336 1.1.NC Non-Coniferous NAC/m3 1123 1768 788 1024 ACCEPT ACCEPT 1.1.NC Non-Coniferous NAC/m3
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 349.368 264006.000 384.368 391147.000 3873.402 2369622.000 4269.072 2999138.000 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 7,928 7,632 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 756 1018 612 703 ACCEPT ACCEPT 1.2 INDUSTRIAL ROUNDWOOD NAC/m3
1.2.C Coniferous 1000 m3ub 349.089 262026.000 373.55 374173.000 3674.546 2288469.000 4145.228 2944775.000 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 7,828 7,532 1.2.C Coniferous NAC/m3 751 1002 623 710 ACCEPT ACCEPT 1.2.C Coniferous NAC/m3
1.2.NC Non-Coniferous 1000 m3ub 0.279 1980.000 10.818 16974.000 198.856 81153.000 123.820 54261.000 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 100 100 1.2.NC Non-Coniferous NAC/m3 7097 1569 408 438 CHECK ACCEPT 1.2.NC Non-Coniferous NAC/mt
1.2.NC.T of which: Tropical1 1000 m3ub 0.031 442.000 0.158 656.000 0 0.000 0.623 147.000 1.2.NC.T of which: Tropical1 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical1 1000 m3ub 0 -0 1.2.NC.T of which: Tropical NAC/m3 14258 4152 0 236 CHECK CHECK 1.2.NC.T of which: Tropical 1000 m3
2 WOOD CHARCOAL 1000 t 38.92 258262.000 52.472 425216.000 0.677 3475.000 1.141 8182.000 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL 1000 t 38 51 2 WOOD CHARCOAL NAC / t 6636 8104 5133 7171 ACCEPT ACCEPT 2 WOOD CHARCOAL 1000 m3
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 611.845 301767.000 561.824 314933.000 1936.93 332554.000 1788.335 350840.000 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 1,389 1,488 3 WOOD CHIPS, PARTICLES AND RESIDUES NAC/m3 493 561 172 196 ACCEPT ACCEPT 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 244.454 137663.000 227.167 155352.000 398.041 170247.000 396.233 163869.000 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3 1,610 1,596 3.1 WOOD CHIPS AND PARTICLES NAC/m3 563 684 428 414 ACCEPT ACCEPT 3.1 WOOD CHIPS AND PARTICLES 1000 mt
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 367.391 164104.000 334.657 159580.000 1538.889 162307.000 1392.102 186971.000 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 -222 -107 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) NAC/m3 447 477 105 134 ACCEPT ACCEPT 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt
3.2.1 of which: Sawdust 1000 m3 312.063 147107.000 221.876 60457.000 3.2.1 of which: Sawdust 1000 m3 OK OK OK OK OK OK OK OK 3.2.1 of which: Sawdust 1000 m3 818 90 3.2.1 of which: Sawdust NAC/m3 REPORT 471 REPORT 272 CHECK CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 t 0.000 0.000 330.661 125613.000 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD 1000 t 188 470 4 RECOVERED POST-CONSUMER WOOD NAC / t REPORT 0 REPORT 380 CHECK CHECK 4 RECOVERED POST-CONSUMER WOOD 1000 mt CHECK INTRA-EU
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 130.294 131730.000 144.359 148389.000 152.552 77873.000 145.720 136032.000 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 128 187 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC / t 1011 1028 510 934 ACCEPT ACCEPT 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3
5.1 WOOD PELLETS 1000 t 88.124 96344.000 103.263 111947.000 110.544 63090.000 127.291 123261.000 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS 1000 t 16 126 5.1 WOOD PELLETS NAC / t 1093 1084 571 968 ACCEPT ACCEPT 5.1 WOOD PELLETS NAC/m3
5.2 OTHER AGGLOMERATES 1000 t 42.170 35386.000 41.096 36442.000 42.008 14782.000 18.429 12771.000 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES 1000 t 2,809 61 5.2 OTHER AGGLOMERATES NAC / t 839 887 352 693 ACCEPT ACCEPT 5.2 OTHER AGGLOMERATES NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 1107.992 5342784.000 864.965 4347414.000 703.129 2022361.000 869.907 2435627.000 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 3,214 2,700 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 4822 5026 2876 2800 ACCEPT ACCEPT 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3
6.C Coniferous 1000 m3 1080.835 4963124.000 835.058 3963870.000 695.72 1974638.000 865.247 2417339.000 6.C Coniferous 1000 m3 6.C Coniferous 1000 m3 385 2,674 6.C Coniferous NAC/m3 4592 4747 2838 2794 ACCEPT ACCEPT 6.C Coniferous NAC/m3
6.NC Non-Coniferous 1000 m3 27.157 379660.000 29.705 381833.000 7.409 47723.000 4.654 17841.000 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3 20 25 6.NC Non-Coniferous NAC/m3 13980 12854 6441 3833 ACCEPT ACCEPT 6.NC Non-Coniferous NAC/m3
6.NC.T of which: Tropical1 1000 m3 2.117 59152.000 3.621 26936.000 1.697 24222.000 2.102 5547.000 6.NC.T of which: Tropical1 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical1 1000 m3 ERROR:#REF! 2 6.NC.T of which: Tropical NAC/m3 27941 7439 14273 2639 CHECK CHECK 6.NC.T of which: Tropical NAC/m3
7 VENEER SHEETS 1000 m3 6.011 71027.000 11.282 92714.000 2.239 554.000 2.925 543.000 7 VENEER SHEETS 1000 m3 OK OK OK OK OK OK OK OK 7 VENEER SHEETS 1000 m3 4 8 7 VENEER SHEETS NAC/m3 11816 8218 247 186 ACCEPT ACCEPT 7 VENEER SHEETS NAC/m3
7.C Coniferous 1000 m3 0.208 2452.000 1.603 9541.000 1.571 223.000 0.017 55.000 7.C Coniferous 1000 m3 7.C Coniferous 1000 m3 -1 2 7.C Coniferous NAC/m3 11788 5952 142 3235 ACCEPT CHECK 7.C Coniferous NAC/m3
7.NC Non-Coniferous 1000 m3 5.803 68574.000 9.679 83172.000 0.668 331.000 2.908 488.000 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3 5 7 7.NC Non-Coniferous NAC/m3 11817 8593 496 168 ACCEPT CHECK 7.NC Non-Coniferous NAC/m3
7.NC.T of which: Tropical 1000 m3 0.041 579.000 0.062 736.000 0.542 88.000 2.874 100.000 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 -1 -3 7.NC.T of which: Tropical NAC/m3 14122 11871 162 35 ACCEPT CHECK 7.NC.T of which: Tropical NAC/m3
8 WOOD-BASED PANELS 1000 m3 360.729 2908493.000 306.902 2953254.000 260.585 1449994.000 199.994 1530912.000 8 WOOD-BASED PANELS 1000 m3 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 599 561 8 WOOD-BASED PANELS NAC/m3 8063 9623 5564 7655 ACCEPT ACCEPT 8 WOOD-BASED PANELS NAC/m3
8.1 PLYWOOD 1000 m3 161.26 1104942.000 149.196 1167187.000 31.992 263682.000 29.180 299980.000 8.1 PLYWOOD 1000 m3 OK OK OK OK OK OK OK OK 8.1 PLYWOOD 1000 m3 129 120 8.1 PLYWOOD NAC/m3 6852 7823 8242 10280 ACCEPT ACCEPT 8.1 PLYWOOD NAC/m3
8.1.C Coniferous 1000 m3 82.687 517109.000 62.391 477937.000 6.78 39825.000 4.781 20072.000 8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3 76 58 8.1.C Coniferous NAC/m3 6254 7660 5874 4198 ACCEPT ACCEPT 8.1.C Coniferous NAC/m3
8.1.NC Non-Coniferous 1000 m3 78.573 587833.000 86.805 689249.000 25.212 223857.000 24.399 279908.000 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3 53 62 8.1.NC Non-Coniferous NAC/m3 7481 7940 8879 11472 ACCEPT ACCEPT 8.1.NC Non-Coniferous NAC/m3
8.1.NC.T of which: Tropical 1000 m3 5.825 35824.000 9.285 40451.000 8.506 9603.000 3.801 5404.000 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 -3 5 8.1.NC.T of which: Tropical NAC/m3 6150 4357 1129 1422 ACCEPT ACCEPT 8.1.NC.T of which: Tropical NAC/m3
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 5.617 44426.000 0.184 832.000 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 OK OK OK OK OK OK OK OK 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0 5 8.1.1 of which: Laminated Veneer Lumber (LVL) NAC/m3 REPORT 7909 REPORT 4522 CHECK CHECK
8.1.1.C Coniferous 1000 m3 5.156 42705.000 0.002 8.000 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous 1000 m3 0 5 8.1.1.C Coniferous NAC/m3 REPORT 8283 REPORT 4000 CHECK CHECK
8.1.1.NC Non-Coniferous 1000 m3 0.461 1721.000 0.182 824.000 8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous 1000 m3 0 0 8.1.1.NC Non-Coniferous NAC/m3 REPORT 3733 REPORT 4527 CHECK CHECK
8.1.1.NC.T of which: Tropical 1000 m3 0.000 0.000 0.000 0.000 8.1.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.1.NC.T of which: Tropical 1000 m3 0 0 8.1.1.NC.T of which: Tropical NAC/m3 REPORT 0 REPORT 0 CHECK CHECK
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 70.446 580166.000 58.940 473605.000 115.432 506773.000 106.330 607687.000 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 273 237 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 8236 8035 4390 5715 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 48.526 391758.000 40.133 273367.000 0.021 224.000 0.056 691.000 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 49 40 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 8073 6812 10667 12339 ACCEPT ACCEPT 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3
8.3 FIBREBOARD 1000 m3 129.023 1223385.000 98.766 1268768.000 50.196 679539.000 39.751 622415.000 8.3 FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 260 228 8.3 FIBREBOARD NAC/m3 9482 12846 13538 15658 ACCEPT ACCEPT 8.3 FIBREBOARD NAC/m3
8.3.1 HARDBOARD 1000 m3 13.841 147521.000 21.423 415552.000 6.964 66683.000 6.214 65063.000 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3 64 66 8.3.1 HARDBOARD NAC/m3 10658 19397 9575 10470 ACCEPT ACCEPT 8.3.1 HARDBOARD NAC/mt
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 110.529 1038506.000 73.514 812890.000 36.485 555474.000 27.687 494938.000 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 74 46 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/m3 9396 11058 15225 17876 ACCEPT ACCEPT 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt
8.3.3 OTHER FIBREBOARD 1000 m3 4.652 37358.000 3.828 40326.000 6.747 57382.000 5.849 62414.000 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3 122 116 8.3.3 OTHER FIBREBOARD NAC/m3 8031 10534 8505 10671 ACCEPT ACCEPT 8.3.3 OTHER FIBREBOARD NAC/mt
9 WOOD PULP 1000 t 70.658 442989.000 66.001 530884.000 6 6 6 6 9 WOOD PULP 1000 t OK OK OK OK Error Error Error Error 9 WOOD PULP 1000 t 1,125 1,164 9 WOOD PULP NAC/t 6269 8044 REPORT REPORT ACCEPT CHECK 9 WOOD PULP NAC/mt CHECK CHECK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 0.267 1711.000 0.305 3259.000 215.462 885528.000 207.965 1227529.000 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 687 735 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/t 6408 10685 4110 5903 ACCEPT ACCEPT 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt
9.2 CHEMICAL WOOD PULP 1000 t 70.183 439643.000 65.670 527210.000 6 6 6 6 9.2 CHEMICAL WOOD PULP 1000 t OK OK OK OK Error Error Error Error 9.2 CHEMICAL WOOD PULP 1000 t 222 221 9.2 CHEMICAL WOOD PULP NAC/t 6264 8028 REPORT REPORT ACCEPT CHECK 9.2 CHEMICAL WOOD PULP NAC/mt CHECK CHECK
9.2.1 SULPHATE PULP 1000 t 66.727 405289.000 65.533 519010.000 6 6 6 6 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP 1000 t 67 66 9.2.1 SULPHATE PULP NAC/t 6074 7920 REPORT REPORT ACCEPT CHECK 9.2.1 SULPHATE PULP NAC/mt CHECK CHECK
9.2.1.1 of which: BLEACHED 1000 t 65.338 397806.000 65.510 518838.000 6 6 6 6 9.2.1.1 of which: BLEACHED 1000 t OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 t 65 66 9.2.1.1 of which: BLEACHED NAC/t 6088 7920 REPORT REPORT ACCEPT CHECK 9.2.1.1 of which: BLEACHED NAC/mt CHECK CHECK
9.2.2 SULPHITE PULP 1000 t 3.456 34354.000 0.137 8200.000 7.646 621.000 6.642 573.000 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP 1000 t 148 148 9.2.2 SULPHITE PULP NAC/t 9940 59854 81 86 CHECK ACCEPT 9.2.2 SULPHITE PULP NAC/mt
9.3 DISSOLVING GRADES 1000 t 0.207 1634.000 0.026 415.000 165.066 1813423.000 148.349 2109490.000 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES 1000 t -165 -148 9.3 DISSOLVING GRADES NAC/t 7894 15962 10986 14220 CHECK ACCEPT 9.3 DISSOLVING GRADES NAC/mt
10 OTHER PULP 1000 t 2.330 19467.000 2.013 21292.000 0.109 33824.000 0.124 58425.000 10 OTHER PULP 1000 t OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 t 2 2 10 OTHER PULP NAC/t 8355 10577 310312 471169 ACCEPT ACCEPT 10 OTHER PULP NAC/mt
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 0.349 6395.000 0.376 7822.000 0.109 33824.000 0.124 58425.000 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 0 0 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/t 18324 20803 310312 471169 ACCEPT ACCEPT 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt
10.2 RECOVERED FIBRE PULP 1000 t 1.981 13072.000 1.637 13470.000 0.000 0.000 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP 1000 t 2 2 10.2 RECOVERED FIBRE PULP NAC/t 6599 8228 REPORT 0 ACCEPT CHECK 10.2 RECOVERED FIBRE PULP NAC/mt INTRA-EU
11 RECOVERED PAPER 1000 t 56.337 88001.000 68.788 93257.000 413.868 625248.000 385.297 672055.000 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER 1000 t -358 -317 11 RECOVERED PAPER NAC/t 1562 1356 1511 1744 ACCEPT ACCEPT 11 RECOVERED PAPER NAC/mt
12 PAPER AND PAPERBOARD 1000 t 298.403 2690479.000 267.796 3092933.000 6 6 6 6 12 PAPER AND PAPERBOARD 1000 t OK OK OK OK Error Error Error Error 12 PAPER AND PAPERBOARD 1000 t 1,308 1,304 12 PAPER AND PAPERBOARD NAC/t 9016 11550 REPORT REPORT ACCEPT CHECK 12 PAPER AND PAPERBOARD NAC/mt CHECK CHECK
12.1 GRAPHIC PAPERS 1000 t 108.182 757708.000 82.684 881978.000 6 6 6 6 12.1 GRAPHIC PAPERS 1000 t OK OK OK OK Error Error Error Error 12.1 GRAPHIC PAPERS 1000 t 946 947 12.1 GRAPHIC PAPERS NAC/t 7004 10667 REPORT REPORT ACCEPT CHECK 12.1 GRAPHIC PAPERS NAC/mt CHECK CHECK
12.1.1 NEWSPRINT 1000 t 22.316 103799.000 8.484 61618.000 6 6 6 6 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT 1000 t 493 513 12.1.1 NEWSPRINT NAC/t 4651 7263 REPORT REPORT ACCEPT CHECK 12.1.1 NEWSPRINT NAC/mt CHECK CHECK
12.1.2 UNCOATED MECHANICAL 1000 t 2.958 25312.000 3.128 36066.000 373.559 1974453.000 346.043 2915871.000 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL 1000 t -4 16 12.1.2 UNCOATED MECHANICAL NAC/t 8557 11530 5286 8426 ACCEPT ACCEPT 12.1.2 UNCOATED MECHANICAL NAC/mt
12.1.3 UNCOATED WOODFREE 1000 t 53.519 343339.000 49.012 457980.000 0.308 7683.000 0.309 9636.000 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE 1000 t 53 49 12.1.3 UNCOATED WOODFREE NAC/t 6415 9344 24945 31184 ACCEPT ACCEPT 12.1.3 UNCOATED WOODFREE NAC/mt
12.1.4 COATED PAPERS 1000 t 29.389 285258.000 22.060 326314.000 0.314 6346.000 0.069 2596.000 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS 1000 t 29 22 12.1.4 COATED PAPERS NAC/t 9706 14792 20210 37623 ACCEPT ACCEPT 12.1.4 COATED PAPERS NAC/mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 5.937 94185.000 3.423 91339.000 0.095 4328.000 0.342 14445.000 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 28 26 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/t 15864 26684 45558 42237 ACCEPT ACCEPT 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt
12.3 PACKAGING MATERIALS 1000 t 182.131 1772747.000 179.216 2046122.000 117.653 1232306.000 107.020 1482659.000 12.3 PACKAGING MATERIALS 1000 t OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 t 214 221 12.3 PACKAGING MATERIALS NAC/t 9733 11417 10474 13854 ACCEPT ACCEPT 12.3 PACKAGING MATERIALS NAC/mt
12.3.1 CASE MATERIALS 1000 t 123.479 818002.000 122.096 1010861.000 56.945 333165.000 52.446 389634.000 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS 1000 t 85 84 12.3.1 CASE MATERIALS NAC/t 6625 8279 5851 7429 ACCEPT ACCEPT 12.3.1 CASE MATERIALS NAC/mt
12.3.2 CARTONBOARD 1000 t 40.993 620126.000 41.114 692645.000 0.196 10648.000 0.202 11229.000 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD 1000 t 41 41 12.3.2 CARTONBOARD NAC/t 15128 16847 54327 55589 ACCEPT ACCEPT 12.3.2 CARTONBOARD NAC/mt
12.3.3 WRAPPING PAPERS 1000 t 15.891 317263.000 14.286 322357.000 42.710 805107.000 42.436 1006019.000 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS 1000 t 15 12 12.3.3 WRAPPING PAPERS NAC/t 19965 22565 18851 23707 ACCEPT ACCEPT 12.3.3 WRAPPING PAPERS NAC/mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 1.767 17355.000 1.719 20259.000 17.802 83385.000 11.936 75776.000 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 74 85 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/t 9822 11785 4684 6349 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 t 2.153 65839.000 2.473 73494.000 0.004 7742.000 0.012 1230.000 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 2 2 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/t 30580 29719 1935500 102500 ACCEPT CHECK 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)2 1000 m3 62.172 549561.000 0.187 2806.000 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 OK OK OK OK OK OK OK OK 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 45 104 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 NAC/m3 REPORT 8839 REPORT 14987 CHECK CHECK
15.1 GLULAM 1000 m3 47.651 432117.000 0.187 2806.000 15.1 GLULAM 1000 m3 15.1 GLULAM 1000 m3 45 90 15.1 GLULAM NAC/m3 REPORT 9068 REPORT 14987 CHECK CHECK
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 14.521 117444.000 0.000 0.000 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0 15 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) NAC/m3 REPORT 8088 REPORT 0 CHECK CHECK
16 I BEAMS (I-JOISTS)2 1000 t 3.585 43642.000 0.008 335.000 16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 1000 t 0 4 16 I BEAMS (I-JOISTS)1 NAC/t REPORT 12174 REPORT 41875 CHECK CHECK
1 Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
2 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included here
To fill: 10 10 0 0 18 18 7 7
m3 = cubic metres solid volume
m3ub = cubic metres solid volume underbark (i.e. excluding bark)
t = metric tonnes
https://www.fao.org/3/cb8216en/cb8216en.pdf

JQ3 Secondary PP Trade

62 91 91
Country: NO Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ3 Statistics Norway
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!
Value must always be in 1000 NAC (national currency) Discrepancies
Eurozone countries may use the old national currency, but only in both years Flag Flag Flag Flag Note Note Note Note
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 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 Code 2021 2022 2021 2022
13 SECONDARY WOOD PRODUCTS 19155495.000 20088819.000 2407555.000 2412548.000 13 SECONDARY WOOD PRODUCTS OK OK OK OK
13.1 FURTHER PROCESSED SAWNWOOD 1232968.000 1132415.000 185000.000 202836.000 13.1 FURTHER PROCESSED SAWNWOOD OK OK OK OK
13.1.C Coniferous 1029020.000 923287.000 178400.000 188891.000 13.1.C Coniferous
13.1.NC Non-coniferous 203948.000 209128.000 6600.000 13945.000 13.1.NC Non-coniferous
13.1.NC.T of which: Tropical 3063.000 7016.000 68.000 267.000 13.1.NC.T of which: Tropical OK OK OK OK
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 729397.000 928713.000 287669.000 348042.000 13.2 WOODEN WRAPPING AND PACKAGING MATERIAL
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 364485.000 392789.000 9614.000 9021.000 13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1 4753257.000 4440796.000 327845.000 339705.000 13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1
13.5 WOODEN FURNITURE 9070997.000 9730798.000 1320429.000 1261956.000 13.5 WOODEN FURNITURE
13.6 PREFABRICATED BUILDINGS OF WOOD 2418212.000 2890900.000 207942.000 146006.000 13.6 PREFABRICATED BUILDINGS OF WOOD
13.7 OTHER MANUFACTURED WOOD PRODUCTS 586179.000 572408.000 69056.000 104982.000 13.7 OTHER MANUFACTURED WOOD PRODUCTS
14 SECONDARY PAPER PRODUCTS 5155601.000 5991198.000 647311.000 5991198.000 14 SECONDARY PAPER PRODUCTS OK OK OK OK
14.1 COMPOSITE PAPER AND PAPERBOARD 76068.000 78175.000 20.000 1007.000 14.1 COMPOSITE PAPER AND PAPERBOARD
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 416028.000 457398.000 11896.000 8342.000 14.2 SPECIAL COATED PAPER AND PULP PRODUCTS
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 2292906.000 2682106.000 293660.000 302878.000 14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4 PACKAGING CARTONS, BOXES ETC. 1610745.000 1945704.000 282421.000 353378.000 14.4 PACKAGING CARTONS, BOXES ETC.
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 759854.000 827815.000 59314.000 69736.000 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 141570.000 190009.000 8985.000 4878.000 14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 149230.000 229285.000 2931.000 5539.000 14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 37526.000 42308.000 207.000 257.000 14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
1 In February 2023 this definition was updated to exclude Glulam, Cross-Laminated Timber and I-Beams which are now distinct items in the JFSQ (15.1, 15.2 and 16). This change was made to reflect the update of HS2022.
To fill: 0 0 0 0

ECE-EU Species

Country: NO Date:
Name of Official responsible for reply: 0
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade Official Address (in full): Check Table
Statistics Norway 0 both VALUE and quantity reported ZERO
Trade in Roundwood and Sawnwood by species Telephone: 0 Fax: 0 DISCREPANCIES ZERO Q quantity ZERO when VALUE is reported
E-mail: 0 ZERO V Value ZERO when quantity is reported
Checks whether the sum of subitems is bigger than the total Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC ( national currency) NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000NAC Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note 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 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 Classification Classification unit 2021 2022 2021 2022 IMPORT EXPORT
Code HS2022 CN2022 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 HS2022 CN2022 Product
1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous 1000 m3ub 349.094 262026.000 373.677 374500.000 3674.546 2288469.000 4145.851 2944922.000 OK OK OK OK OK OK OK OK 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous NAC/m3 751 1002 623 710 ACCEPT ACCEPT PRODUCTION I M P O R T E X P O R T
4403.21/22 of which: Pine (Pinus spp.) 1000 m3ub 36.165 36912.000 40.241 132212.000 1757.907 1235268.000 2115.394 1240578.000 OK OK OK OK OK OK OK OK 4403.21/22 of which: Pine (Pinus spp.) NAC/m3 1021 3286 703 586 CHECK ACCEPT Product Classification Classification Unit of 2021 2022 2021 2022 2021 2022
4403 21 10 sawlogs and veneer logs 1000 m3ub 33.432 21035.000 17.289 11247.000 450.673 216906.000 657.412 588395.000 4403 21 10 sawlogs and veneer logs NAC/m3 629 651 481 895 ACCEPT ACCEPT Code HS2022 CN2022 Product Quantity Quantity Quantity Quantity Value Quantity Value Quantity Value Quantity Value
4403 21 90 4403 22 00 pulpwood and other industrial roundwood 1000 m3ub 2.733 15877.000 22.655 119639.000 1307.234 1018362.000 1457.528 594925.000 4403 21 90 4403 22 00 pulpwood and other industrial roundwood NAC/m3 5809 5281 779 408 ACCEPT ACCEPT 1 4401.11/12 44.03 Roundwood production 1000 m3 JQ1 ERROR:#REF! 13,222
4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3ub 302.726 184233.000 320.163 190356.000 1902.230 1004406.000 2013.193 1627805.000 OK OK OK OK OK OK OK OK 4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 609 595 528 809 ACCEPT ACCEPT EU2 13157.1522522727 13222.0222522727
4403 23 10 sawlogs and veneer logs 1000 m3ub 136.674 99215.000 92.919 72728.000 1392.824 612994.000 1503.176 1339850.000 4403 23 10 sawlogs and veneer logs NAC/m3 726 783 440 891 ACCEPT CHECK dif ERROR:#REF! 0
4403 23 90 4403 24 00 pulpwood and other industrial roundwood 1000 m3ub 166.052 85018.000 227.085 117250.000 509.406 391412.000 508.917 286876.000 4403 23 90 4403 24 00 pulpwood and other industrial roundwood NAC/m3 512 516 768 564 ACCEPT ACCEPT 1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood (wood in the rough), Coniferous 1000 m3 JQ2 349 262,026 374 374,173 3,675 2,288,469 4,145 2,944,775
1.2.NC 4403.12/41/42/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous 1000 m3ub 0.274 1980.000 10.691 16648.000 198.856 81153.000 123.221 54216.000 OK OK OK OK OK OK OK OK 4403.12/41/42/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous NAC/m3 7226 1557 408 440 CHECK ACCEPT ECE/EU 349 262,026 374 374,500 3,675 2,288,469 4,146 2,944,922
ex4403.12 4403.91 of which: Oak (Quercus spp.) 1000 m3ub 0.094 1017.000 0.140 1055.000 0.232 191.000 0.267 246.000 ex4403.12 4403.91 of which: Oak (Quercus spp.) NAC/m3 10819 7536 823 921 ACCEPT ACCEPT dif -0 0 -0 -327 0 0 -1 -147
ex4403.12 4403.93/94 of which: Beech (Fagus spp.) 1000 m3ub 0.015 126.000 0.005 19.000 0.000 0.000 0.002 20.000 ex4403.12 4403.93/94 of which: Beech (Fagus spp.) NAC/m3 8400 3800 0 10000 CHECK CHECK 1.2.NC 4403.12/41/42/49/91/93/94/95/96/97/98/99 Industrial Roundwood (wood in the rough), Non-Coniferous 1000 m3 JQ2 0 1,980 11 16,974 199 81,153 124 54,261
ex4403.12 4403.95/96 of which: Birch (Betula spp.) 1000 m3ub 0.095 167.000 10.118 13122.000 194.698 78169.000 117.506 51092.000 OK OK OK OK OK OK OK OK ex4403.12 4403.95/96 of which: Birch (Betula spp.) NAC/m3 1758 1297 401 435 ACCEPT ACCEPT ECE/EU 0 1,980 11 16,648 199 81,153 123 54,216
4403 95 10 sawlogs and veneer logs 1000 m3ub 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 4403 95 10 sawlogs and veneer logs NAC/m3 0 0 0 0 CHECK CHECK dif 0 0 0 326 0 0 1 45
ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood 1000 m3ub 0.095 167.000 10.118 13122.000 194.698 78169.000 117.506 51092.000 ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood NAC/m3 1758 1297 401 435 ACCEPT ACCEPT 6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous 1000 m3 JQ2 1,081 4,963,124 835 3,963,870 696 1,974,638 865 2,417,339
ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) 1000 m3ub 0.003 7.000 0.003 12.000 0.145 102.000 1.753 881.000 ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 2333 4000 703 503 ACCEPT ACCEPT ECE/EU 1,080 4,963,124 835 3,959,837 696 1,974,638 857 2,416,842
ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) 1000 m3ub 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) NAC/m3 0 0 0 0 CHECK CHECK dif 0 0 0 4,033 0 0 8 497
6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous 1000 m3 1080.337 4963124.000 834.703 3959837.000 695.720 1974638.000 857.447 2416842.000 OK OK OK OK OK OK OK OK 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous NAC/m3 4594 4744 2838 2819 ACCEPT ACCEPT 6.NC 4406.12/92 4407.21/22/23/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 JQ2 27 379,660 30 381,833 7 47,723 5 17,841
4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) 1000 m3 623.612 2858564.000 454.656 2201159.000 197.806 579955.000 236.903 673792.000 4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) NAC/m3 4671 4841 2932 2844 ACCEPT ACCEPT ECE/EU 27 379,660 28 348,819 7 47,723 5 18,288
4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3 442.251 2065889.000 362.825 1666775.000 487.523 1386289.000 612.781 1720514.000 4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 4584 4594 2844 2808 ACCEPT ACCEPT dif 0 0 2 33,014 0 0 -0 -447
6.NC 4406.12/92 4407.21/22/23/25/26/27/28/29/ 91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 27.157 379660.000 27.680 348819.000 7.409 47723.000 4.660 18288.000 OK OK OK OK OK OK OK OK 4406.12/92 4407.21/22/23/25/26/27/28/29/ 91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous NAC/m3 13980 12602 6441 3924 ACCEPT ACCEPT
ex4406.12/92 4407.91 of which: Oak (Quercus spp.) 1000 m3 13.608 212718.000 15.179 233051.000 0.496 5935.000 0.574 5146.000 ex4406.12/92 4407.91 of which: Oak (Quercus spp.) NAC/m3 15632 15354 11966 8965 ACCEPT ACCEPT
ex4406.12/92 4407.92 of which: Beech (Fagus spp.) 1000 m3 0.535 4716.000 0.742 4441.000 0.111 120.000 0.309 34.000 ex4406.12/92 4407.92 of which: Beech (Fagus spp.) NAC/m3 8815 5985 1081 110 ACCEPT CHECK
ex4406.12/92 4407.93 of which: Maple (Acer spp.) 1000 m3 0.016 155.000 0.017 236.000 0.064 2400.000 0.227 140.000 ex4406.12/92 4407.93 of which: Maple (Acer spp.) NAC/m3 9688 13882 37500 617 ACCEPT CHECK
ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) 1000 m3 0.003 31.000 0.009 96.000 0.001 2.000 0.001 2.000 ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) NAC/m3 10333 10667 2000 2000 ACCEPT ACCEPT
ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) 1000 m3 0.981 11944.000 0.883 12788.000 0.023 317.000 0.036 818.000 ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) NAC/m3 12175 14482 13783 22722 ACCEPT ACCEPT
ex4406.12/92 4407.96 of which: Birch (Betula spp.) 1000 m3 0.708 5651.000 2.174 14440.000 0.138 288.000 0.018 534.000 ex4406.12/92 4407.96 of which: Birch (Betula spp.) NAC/m3 7982 6642 2087 29667 ACCEPT CHECK
ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) 1000 m3 1.935 11982.000 0.380 4717.000 0.004 65.000 0.002 38.000 ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 6192 12413 16250 19000 CHECK 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
Please note that information on tropical species trade is requested in questionnaire ITTO2 for ITTO member countries
"ex" codes indicate that only part of that trade classication code is used To fill: 0 0 0 0 0 0 0 0
m3ub = cubic metres underbark (i.e. excluding bark)
Please complete each cell if possible with
data (numerical value)
or " " for not available
or "0" for zero data

EU1 ExtraEU Trade

FOREST SECTOR QUESTIONNAIRE Country: NO Date: 0 both VALUE and quantity reported ZERO
EU1 Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported
Official Address (in full): Statistics Norway ZERO V Value ZERO when quantity is reported
Trade with countries outside EU Telephone: 0 Fax: 0 JQ2/EU1 comparison Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC (national currency) E-mail: 0 JQ2>=EU1 NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000 NAC Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note 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 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 code 2021 2022 2021 2022 code Product unit 2021 2022 2021 2022 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 65.933 78071.000 16.909 24945.000 13.081 52748.000 15.385 75433.000 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 1184 1475 4032 4903 CHECK CHECK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 64.776 70958.000 16.698 24092.000 0.000 0.000 0.060 1752.000 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 1095 1443 0 29200 CHECK CHECK
1.1.C Coniferous 1000 m3ub 1.859 3112.000 0.057 85.000 0.000 0.000 0.060 1752.000 OK OK OK OK OK OK OK OK 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous NAC/ m3 1674 1491 0 29200 CHECK CHECK
1.1.NC Non-Coniferous 1000 m3ub 62.917 67846.000 16.641 24007.000 0.000 0.000 0.000 0.000 OK OK OK OK OK OK OK OK 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous NAC/ m3 1078 1443 0 0 CHECK ACCEPT
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 1.157 7113.000 0.211 853.000 13.081 52748.000 15.325 73681.000 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 6148 4043 4032 4808 ACCEPT CHECK
1.2.C Coniferous 1000 m3ub 1.122 6921.000 0.091 689.000 13.081 52748.000 15.314 73596.000 OK OK OK OK OK OK OK OK 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous NAC/ m3 6168 7571 4032 4806 ACCEPT CHECK
1.2.NC Non-Coniferous 1000 m3ub 0.035 191.000 0.120 163.000 0.000 0.000 0.011 85.000 OK OK OK OK OK OK OK OK 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous NAC/ m3 5457 1358 0 7727 CHECK CHECK
1.2.NC.T of which: Tropical 1000 m3ub 0.012 95.000 0.015 55.000 0.000 0.000 0.001 5.000 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 7917 3667 0 5000 CHECK CHECK
2 WOOD CHARCOAL 1000 t 16.965 110020.000 31.108 290212.000 0.458 2995.000 0.801 6678.000 OK OK OK OK OK OK OK OK 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL NAC/ t 6485 9329 6539 8337 ACCEPT CHECK
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 52.519 33725.000 32.575 28246.000 0.000 0.000 0.057 154.000 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 642 867 0 2702 CHECK CHECK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 51.539 33513.000 28.591 24129.000 0.000 0.000 0.020 108.000 OK OK OK OK OK OK OK OK 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES NAC/ m3 650 844 0 5400 CHECK CHECK
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 0.980 212.000 3.984 4117.000 0.000 0.000 0.037 46.000 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/ m3 216 1033 0 1243 CHECK CHECK
3.2.1 of which: Sawdust 1000 m3 3.983 4116.000 0.000 0.000 OK OK OK OK OK OK OK OK 3.2.1 of which: Sawdust 1000 m3 OK OK OK OK OK OK OK OK 3.2.1 of which: Sawdust NAC/ m3 REPORT 1033 REPORT 0 CHECK ACCEPT
4 RECOVERED POST-CONSUMER WOOD 1000 t 0.000 0.000 0.000 0.000 0.018 46.000 OK OK OK OK OK OK OK OK 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD NAC/ t REPORT 0 0 2556 ACCEPT CHECK
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 17.851 14865.000 13.507 14735.000 0.002 2.000 0.011 34.000 OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/ t 833 1091 1000 3091 ACCEPT CHECK
5.1 WOOD PELLETS 1000 t 6.482 6524.000 11.827 9675.000 0.000 0.000 0.001 12.000 OK OK OK OK OK OK OK OK 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS NAC/ t 1006 818 0 12000 CHECK CHECK
5.2 OTHER AGGLOMERATES 1000 t 11.369 8341.000 1.680 5060.000 0.002 2.000 0.010 22.000 OK OK OK OK OK OK OK OK 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES NAC/ t 734 3012 1000 2200 CHECK CHECK
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 14.412 219656.000 13.814 200915.000 131.605 445099.000 182.188 605194.000 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 15241 14544 3382 3322 CHECK CHECK
6.C Coniferous 1000 m3 3.527 22492.000 2.781 20202.000 126.983 430459.000 181.087 600986.000 OK OK OK OK OK OK OK OK 6.C Coniferous 1000 m3 6.C Coniferous NAC/ m3 6377 7264 3390 3319 CHECK CHECK
6.NC Non-Coniferous 1000 m3 10.885 197164.000 11.033 180713.000 4.622 14640.000 1.101 4208.000 OK OK OK OK OK OK OK OK 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous NAC/ m3 18113 16379 3167 3822 CHECK CHECK
6.NC.T of which: Tropical 1000 m3 1.717 52320.000 2.558 22100.000 0.000 0.000 0.000 0.000 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 30472 8640 0 0 CHECK ACCEPT
7 VENEER SHEETS 1000 m3 0.072 1131.000 0.633 3287.000 0.007 34.000 0.003 25.000 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 15708 5193 4857 8333 ACCEPT CHECK
7.C Coniferous 1000 m3 0.006 9.000 0.262 1735.000 0.000 0.000 0.000 0.000 OK OK OK OK OK OK OK OK 7.C Coniferous 1000 m3 7.C Coniferous NAC/ m3 1500 6622 0 0 CHECK ACCEPT
7.NC Non-Coniferous 1000 m3 0.066 1122.000 0.371 1552.000 0.007 34.000 0.003 25.000 OK OK OK OK OK OK OK OK 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous NAC/ m3 17000 4183 4857 8333 ACCEPT CHECK
7.NC.T of which: Tropical 1000 m3 0.017 13.000 0.011 14.000 0.000 0.000 0.000 0.000 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 765 1273 0 0 CHECK ACCEPT
8 WOOD-BASED PANELS 1000 m3 81.491 518137.000 74.605 439027.000 22.043 149309.000 17.032 173486.000 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 6358 5885 6774 10186 ACCEPT CHECK
8.1 PLYWOOD 1000 m3 50.544 319638.000 40.337 246245.000 15.470 97198.000 11.487 114294.000 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 6324 6105 6283 9950 ACCEPT CHECK
8.1.C Coniferous 1000 m3 15.563 81885.000 12.997 71965.000 4.083 12258.000 0.953 6038.000 OK OK OK OK OK OK OK OK 8.1.C Coniferous 1000 m3 8.1.C Coniferous NAC/ m3 5262 5537 3002 6336 ACCEPT CHECK
8.1.NC Non-Coniferous 1000 m3 34.981 237753.000 27.340 174280.000 11.387 84939.000 10.534 108256.000 OK OK OK OK OK OK OK OK 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous NAC/ m3 6797 6375 7459 10277 ACCEPT CHECK
8.1.NC.T of which: Tropical 1000 m3 3.998 21037.000 4.869 26424.000 5.757 6577.000 2.963 4179.000 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 5262 5427 1142 1410 CHECK CHECK
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0.000 0.000 0.006 15.000 OK OK OK OK OK OK OK OK 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 OK OK OK OK OK OK OK OK 8.1.1 of which: Laminated Veneer Lumber (LVL) NAC/ m3 REPORT 0 REPORT 2500 CHECK CHECK
8.1.1.C Coniferous 1000 m3 0.000 0.000 0.001 2.000 OK OK OK OK OK OK OK OK 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous NAC/ m3 REPORT 0 REPORT 2000 CHECK CHECK
8.1.1.NC Non-Coniferous 1000 m3 0.000 0.000 0.005 13.000 OK OK OK OK OK OK OK OK 8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous NAC/ m3 REPORT 0 REPORT 2600 CHECK CHECK
8.1.1.NC.T of which: Tropical 1000 m3 0.000 0.000 0.000 0.000 OK OK OK OK OK OK OK OK 8.1.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.1.NC.T of which: Tropical NAC/ m3 REPORT 0 REPORT 0 CHECK ACCEPT
8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 18.161 131667.000 19.629 128551.000 3.006 14404.000 1.871 15085.000 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 7250 6549 4792 8063 ACCEPT CHECK
8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 17.550 126391.000 18.934 120901.000 0.000 0.000 0.001 12.000 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 7202 6385 0 12000 CHECK CHECK
8.3 FIBREBOARD 1000 m3 4.234 66832.000 3.091 64231.000 3.567 37707.000 3.674 44093.000 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 15785 20780 10571 12001 ACCEPT CHECK
8.3.1 HARDBOARD 1000 m3 0.722 9101.000 0.784 9528.000 0.027 308.000 0.073 489.000 OK OK OK OK OK OK OK OK 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD NAC/ m3 12605 12153 11407 6699 ACCEPT CHECK
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 3.471 57444.000 2.303 54611.000 1.406 20440.000 0.620 10398.000 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/ m3 16550 23713 14538 16771 ACCEPT CHECK
8.3.3 OTHER FIBREBOARD 1000 m3 0.041 287.000 0.004 92.000 2.134 16959.000 2.981 33205.000 OK OK OK OK OK OK OK OK 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD NAC/ m3 7000 23000 7947 11139 CHECK CHECK
9 WOOD PULP 1000 t 11.606 70019.000 13.861 114091.000 6 6 6 6 OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 t OK OK OK OK Error Error Error Error 9 WOOD PULP NAC/ t 6033 8231 REPORT REPORT CHECK CHECK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 0.034 268.000 0.001 227.000 36.513 141660.000 35.016 199933.000 OK OK OK OK OK OK OK OK 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/ t 7882 227000 3880 5710 CHECK CHECK
9.2 CHEMICAL WOOD PULP 1000 t 11.571 69747.000 13.860 113864.000 6 6 6 6 OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP NAC/ t 6028 8215 REPORT REPORT CHECK CHECK
9.2.1 SULPHATE PULP 1000 t 11.564 69144.000 13.859 113790.000 6 6 6 6 OK OK OK OK OK OK OK OK 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP NAC/ t 5979 8211 REPORT REPORT CHECK CHECK
9.2.1.1 of which: BLEACHED 1000 t 11.564 69144.000 13.859 113790.000 6 6 6 6 OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 t OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED NAC/ t 5979 8211 REPORT REPORT CHECK CHECK
9.2.2 SULPHITE PULP 1000 t 0.007 603.000 0.001 73.000 0.000 0.000 0.000 0.000 OK OK OK OK OK OK OK OK 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP NAC/ t 86143 73000 0 0 CHECK ACCEPT
9.3 DISSOLVING GRADES 1000 t 0.001 3.000 0.000 0.000 62.044 687771.000 59.206 873463.000 OK OK OK OK OK OK OK OK 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES NAC/ t 3000 0 11085 14753 CHECK CHECK
10 OTHER PULP 1000 t 0.128 2077.000 0.091 1496.000 0.000 0.000 0.099 49050.000 OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 t OK OK OK OK OK OK OK OK 10 OTHER PULP NAC/ t 16227 16440 0 495455 CHECK CHECK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 0.121 1883.000 0.085 1257.000 0.000 0.000 0.099 49050.000 OK OK OK OK OK OK OK OK 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/ t 15562 14788 0 495455 CHECK CHECK
10.2 RECOVERED FIBRE PULP 1000 t 0.007 194.000 0.006 239.000 0.000 0.000 0.000 0.000 OK OK OK OK OK OK OK OK 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP NAC/ t 27714 39833 0 0 CHECK ACCEPT
11 RECOVERED PAPER 1000 t 15.311 11270.000 33.884 24395.000 53.126 114832.000 35.988 79050.000 OK OK OK OK OK OK OK OK 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER NAC/ t 736 720 2162 2197 CHECK CHECK
12 PAPER AND PAPERBOARD 1000 t 7.315 136978.000 5.576 130618.000 6 6 6 6 OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 t OK OK OK OK Error Error Error Error 12 PAPER AND PAPERBOARD NAC/ t 18726 23425 REPORT REPORT CHECK CHECK
12.1 GRAPHIC PAPERS 1000 t 1.198 32774.000 0.908 41530.000 6 6 6 6 OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 t OK OK OK OK Error Error Error Error 12.1 GRAPHIC PAPERS NAC/ t 27357 45738 REPORT REPORT CHECK CHECK
12.1.1 NEWSPRINT 1000 t 0.001 77.000 0.096 2006.000 6 6 6 6 OK OK OK OK OK OK OK OK 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT NAC/ t 77000 20896 REPORT REPORT CHECK CHECK
12.1.2 UNCOATED MECHANICAL 1000 t 0.096 1801.000 0.121 2966.000 85.796 736806.000 6 6 OK OK OK OK OK OK OK OK 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL NAC/ t 18760 24512 REPORT 8588 CHECK CHECK
12.1.3 UNCOATED WOODFREE 1000 t 0.190 9627.000 0.159 9029.000 0.002 126.000 0.006 581.000 OK OK OK OK OK OK OK OK 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE NAC/ t 50668 56786 63000 96833 ACCEPT CHECK
12.1.4 COATED PAPERS 1000 t 0.911 21269.000 0.532 27529.000 0.102 3052.000 0.004 682.000 OK OK OK OK OK OK OK OK 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS NAC/ t 23347 51746 29922 170500 ACCEPT CHECK
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 0.227 8100.000 0.200 7654.000 0.018 572.000 0.001 178.000 OK OK OK OK OK OK OK OK 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/ t 35683 38270 31778 178000 ACCEPT CHECK
12.3 PACKAGING MATERIALS 1000 t 4.770 83837.000 3.441 66305.000 26.177 430663.000 24.694 576342.000 OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 t OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS NAC/ t 17576 19269 16452 23339 ACCEPT CHECK
12.3.1 CASE MATERIALS 1000 t 1.033 12119.000 0.124 7179.000 5.069 26496.000 2.743 20870.000 OK OK OK OK OK OK OK OK 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS NAC/ t 11732 57895 5227 7608 CHECK CHECK
12.3.2 CARTONBOARD 1000 t 3.326 58093.000 3.020 44355.000 0.005 710.000 0.059 2725.000 OK OK OK OK OK OK OK OK 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD NAC/ t 17466 14687 142000 46186 CHECK CHECK
12.3.3 WRAPPING PAPERS 1000 t 0.378 13103.000 0.272 14275.000 20.084 398220.000 21.444 549241.000 OK OK OK OK OK OK OK OK 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS NAC/ t 34664 52482 19828 25613 CHECK CHECK
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 0.033 522.000 0.025 496.000 1.019 5237.000 0.448 3505.000 OK OK OK OK OK OK OK OK 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/ t 15818 19840 5139 7824 CHECK CHECK
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 1.120 12267.000 1.027 15129.000 0.001 7461.000 0.009 825.000 OK OK OK OK OK OK OK OK 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/ t 10953 14731 7461000 91667 CHECK CHECK
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 0.104 1491.000 0.002 32.000 OK OK OK OK OK OK OK OK 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 OK OK OK OK OK OK OK OK 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 NAC/ m3 REPORT 14301 REPORT 16000 CHECK CHECK
15.1 GLULAM 1000 m3 0.053 675.000 0.002 32.000 OK OK OK OK OK OK OK OK 15.1 GLULAM 1000 m3 15.1 GLULAM NAC/ m3 REPORT 12690 REPORT 16000 CHECK CHECK
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0.051 816.000 0.000 0.000 OK OK OK OK OK OK OK OK 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) NAC/ m3 REPORT 15980 REPORT 0 CHECK ACCEPT
16 I BEAMS (I-JOISTS)1 1000 t 0.000 28.000 0.000 0.000 OK OK OK OK OK OK OK OK 16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 NAC/ t REPORT ZERO Q REPORT 0 CHECK ACCEPT
To fill: 10 10 0 0 17 17 7 7

EU2 Removals

Country: NO Date:
Name of Official responsible for reply: 0
Official Address (in full):
Statistics Norway
Phone/Fax: 0 0
E-mail: 0
FOREST SECTOR QUESTIONNAIRE EU2
Removals by type of ownership
Discrepancies
Product code Ownership Flag Flag Note Note Product code Ownership
Unit 2021 2022 2021 2022 2021 2022 Unit 2021 2022
Quantity Quantity Quantity Quantity
ROUNDWOOD REMOVALS (under bark) ROUNDWOOD REMOVALS
1 ROUNDWOOD 1000 m3 13157.152 13222.022 1 ROUNDWOOD 1000 m3 OK OK
1.C Coniferous 1000 m3 11766.813 11917.335 1.C Coniferous 1000 m3 OK OK
1.NC Non-coniferous 1000 m3 1390.339 1304.687 1.NC Non-coniferous 1000 m3 OK OK
State forests 1000 m3 473.657 479.364 9 9 State forests 1000 m3 OK OK
Coniferous 1000 m3 468.921 474.919 9 9 Coniferous 1000 m3
Non-coniferous 1000 m3 4.737 4.445 9 9 Non-coniferous 1000 m3
Other publicly owned forests 1000 m3 631.543 637.743 9 9 Other publicly owned forests 1000 m3 OK OK
Coniferous 1000 m3 606.282 614.037 9 9 Coniferous 1000 m3
Non-coniferous 1000 m3 25.262 23.705 9 9 Non-coniferous 1000 m3
Private forest 1000 m3 12051.951 12104.915 9 9 Private forest 1000 m3 OK OK
Coniferous 1000 m3 10691.611 10828.379 9 9 Coniferous 1000 m3
Non-coniferous 1000 m3 1360.339 1276.536 9 9 Non-coniferous 1000 m3
To fill: 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: NO Date:
Name of Official responsible for reply: 0
Official Address (in full): Statistics Norway
ITTO1
Telephone: 0 Fax: 0
FOREST SECTOR QUESTIONNAIRE E-mail: 0
Production and Trade Estimates for 2023
Specify Currency and Unit of Value (e.g.:1000 US $): __________
Product Unit of Production Imports Exports
Code Product quantity Quantity Quantity Value Quantity Value
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub
1.2.C Coniferous 1000 m3ub
1.2.NC Non-Coniferous 1000 m3ub
1.2.NC.T of which: Tropical1 1000 m3ub
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3
6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical1 1000 m3
7 VENEER SHEETS 1000 m3
7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3
8.1 PLYWOOD 1000 m3
8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3
1 Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
m3 = cubic metres solid volume
m3ub = cubic metres solid volume underbark (i.e. excluding bark)

ITTO2-Species

Country: NO Date:
ITTO2 Name of Official responsible for reply: 0
Official Address (in full): Statistics Norway
FOREST SECTOR QUESTIONNAIRE
Trade in Tropical Species Telephone: 0 Fax: 0
E-mail: 0
Specify Currency and Unit of Value (e.g.:1000 US $): ____________
I M P O R T E X P O R T
Product Classifications 2021 2022 2021 2022
HS2022/HS2017/HS2012/HS2007 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 HS2022:
Industrial Roundwood, Tropical ex4403.12 4403.41/42/49
HS2017:
ex4403.12 4403.41/49
HS2012/2007:
ex4403.10 4403.41/49 ex4403.99
6.NC.T HS2022:
Sawnwood, Tropical ex4406.12/92 4407.21/22/23/25/26/27/28/29
HS2017:
ex4406.12/92 4407.21/22/25/26/27/28/29
HS2012/2007:
ex4406.10/90 4407.21/22/25/26/27/28/30
7.NC.T HS2022:
Veneer Sheets, Tropical 4408.31/39
HS2017:
4408.31/39
HS2012/2007:
4408.31/39 ex4408.90
8.1.NC.T HS2022:
Plywood, Tropical 4412.31/41/51/91
HS2017:
4412.31 ex4412.94/99
HS2012/2007:
4412.31 ex4412.32/94/99
Note: List the major species traded in each category. Use additional sheet if more species are 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 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
NO P.OB 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P.OB 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ1

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
NO P 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ2

% Min: 80% Max: 120% Notes
JQ2 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
Q NO M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ3

% Min: 80% Max: 120% Notes
JQ3 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
NO M 1000 NAC 11_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 11_7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC 12_7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 11_7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 12_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 12_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 12_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 12_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 12_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 12_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 12_6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-ECEEU

% Min: 80% Max: 120% Notes
ECEEU Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
Q NO M 1000 m3 ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO M 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO M 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO M 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO X 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO X 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO X 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-EU1

% Min: 80% Max: 120% Notes
EU1 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
Q NO EX_M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_M 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q NO EX_X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO EX_X 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV NO EX_X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-EU2

% Min: 80% Max: 120% Notes
EU2 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
NO P 1000 m3 EU2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
NO P 1000 m3 EU2_1_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

Annex1 | JQ1-Corres.

Last updated in 2016
FOREST SECTOR QUESTIONNAIRE JQ1 (Supp. 1)
PRIMARY PRODUCTS
Removals and Production
CORRESPONDENCES to CPC Ver.2.1
Central Product Classification Version 2.1 (CPC Ver. 2.1)
Product Product
Code
REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH)
1 ROUNDWOOD (WOOD IN THE ROUGH) 031
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 0313
1.1.C Coniferous 03131
1.1.NC Non-Coniferous 03132
1.2 INDUSTRIAL ROUNDWOOD 0311 0312
1.2.C Coniferous 0311
1.2.NC Non-Coniferous 0312
1.2.NC.T of which: Tropical ex0312
1.2.1 SAWLOGS AND VENEER LOGS ex03110 ex03120
1.2.1.C Coniferous ex03110
1.2.1.NC Non-Coniferous ex03120
1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) ex03110 ex03120
1.2.2.C Coniferous ex03110
1.2.2.NC Non-Coniferous ex03120
1.2.3 OTHER INDUSTRIAL ROUNDWOOD ex03110 ex03120
1.2.3.C Coniferous ex03110
1.2.3.NC Non-Coniferous ex03120
PRODUCTION
2 WOOD CHARCOAL ex34510
3 WOOD CHIPS, PARTICLES AND RESIDUES ex31230 ex39283
3.1 WOOD CHIPS AND PARTICLES ex31230
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) ex39283
4 RECOVERED POST-CONSUMER WOOD ex39283
5 WOOD PELLETS AND OTHER AGGLOMERATES 39281 39282
5.1 WOOD PELLETS 39281
5.2 OTHER AGGLOMERATES 39282
6 SAWNWOOD (INCLUDING SLEEPERS) 311 3132
6.C Coniferous 31101 ex31109 ex3132
6.NC Non-Coniferous 31102 ex31109 ex3132
6.NC.T of which: Tropical ex31102 ex31109 ex3132
7 VENEER SHEETS 3151
7.C Coniferous 31511
7.NC Non-Coniferous 31512
7.NC.T of which: Tropical ex31512
8 WOOD-BASED PANELS 3141 3142 3143 3144
8.1 PLYWOOD 3141 3142
8.1.C Coniferous 31411 31421
8.1.NC Non-Coniferous 31412 31422
8.1.NC.T of which: Tropical ex31412 ex31422
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) and SIMILAR BOARD 3143
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 31432
8.3 FIBREBOARD 3144
8.3.1 HARDBOARD 31442
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 31441
8.3.3 OTHER FIBREBOARD 31449
9 WOOD PULP 32111 32112 ex32113
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP ex32113
9.2 CHEMICAL WOOD PULP 32112
9.2.1 SULPHATE PULP ex32112
9.2.1.1 of which: BLEACHED ex32112
9.2.2 SULPHITE PULP ex32112
9.3 DISSOLVING GRADES 32111
10 OTHER PULP ex32113
10.1 PULP FROM FIBRES OTHER THAN WOOD ex32113
10.2 RECOVERED FIBRE PULP ex32113
11 RECOVERED PAPER 3924
12 PAPER AND PAPERBOARD 3212 3213 32142 32143 ex32149 32151 32198 ex32199
12.1 GRAPHIC PAPERS 3212 ex32143 ex32149
12.1.1 NEWSPRINT 32121
12.1.2 UNCOATED MECHANICAL ex32122 ex32129
12.1.3 UNCOATED WOODFREE 32122 ex32129
12.1.4 COATED PAPERS ex32143 ex32149
12.2 HOUSEHOLD AND SANITARY PAPERS 32131
12.3 PACKAGING MATERIALS 32132 ex32133 32134 32135 ex32136 ex32137 32142 32151 ex32143 ex32149
12.3.1 CASE MATERIALS 32132 32134 32135 ex32136
12.3.2 CARTONBOARD ex32133 ex32136 ex32143 ex32149
12.3.3 WRAPPING PAPERS ex32133 ex32136 ex32137 32142 32151
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING ex32136
12.4 OTHER PAPER AND PAPERBOARD N.E.S. ex32149 ex32133 ex32136 ex32137 32198 ex32199
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the CPC Ver.2.1 code is applicable.
For instance "ex31512" under product 7.NC.T means that only a part of CPC Ver.2.1 code 31512 refers to non-coniferous tropical veneer sheets.
In CPC, if only 3 or 4 digits are shown, then all sub-codes at lower degrees of aggregation are included (for example, 0313 includes 03131 and 03132).

Annex2 | JQ2-Corres.

FOREST SECTOR QUESTIONNAIRE JQ2 (Supp. 1)
PRIMARY PRODUCTS
Trade
CORRESPONDENCES to HS2022, HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2022 HS2017 HS2012 SITC Rev.4
1 ROUNDWOOD (WOOD IN THE ROUGH) 4401.11/12 44.03 4401.11/12 44.03 4401.10 44.03 245.01 247
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 4401.11/12 4401.11/12 4401.10 245.01
1.1.C Coniferous 4401.11 4401.11 ex4401.10 ex245.01
1.1.NC Non-Coniferous 4401.12 4401.12 ex4401.10 ex245.01
1.2 INDUSTRIAL ROUNDWOOD 44.03 44.03 44.03 247
1.2.C Coniferous 4403.11/21/22/23/24/25/26 4403.11/21/22/23/24/25/26 ex4403.10 4403.20 ex247.3 247.4
1.2.NC Non-Coniferous 4403.12/41/42/49/91/93/94/95/96/97/98/99 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: Tropical1 ex4403.12 4403.41/42/49 4403.41/49 ex4403.10 4403.41/49 ex4403.99 ex247.3 247.5 ex247.9
2 WOOD CHARCOAL 4402.90 4402.90 4402.90 ex245.02
3 WOOD CHIPS, PARTICLES AND RESIDUES 4401.21/22 4401.41 ex4401.49 4401.21/22 ex4401.40 4401.21/22 ex4401.39 246.1 ex246.2
3.1 WOOD CHIPS AND PARTICLES 4401.21/22 4401.21/22 4401.21/22 246.1
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 4401.41 ex4401.49++ ex4401.40++ ex4401.39 ex246.2
3.2.1 of which: Sawdust 4401.41 ex4401.40++ ex4401.39 ex246.2
4 RECOVERED POST-CONSUMER WOOD ex4401.49++ ex4401.40++ ex4401.39 ex246.2
5 WOOD PELLETS AND OTHER AGGLOMERATES 4401.31/32/39 4401.31/39 4401.31 ex4401.39 ex246.2
5.1 WOOD PELLETS 4401.31 4401.31 4401.31 ex246.2
5.2 OTHER AGGLOMERATES 4401.32/39 4401.39 ex4401.39 ex246.2
6 SAWNWOOD (INCLUDING SLEEPERS) 44.06 44.07 44.06 44.07 44.06 44.07 248.1 248.2 248.4
6.C Coniferous 4406.11/91 4407.11/12/13/14/19 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 4407.21/22/23/25/26/27/28/29/91/92/93/94/95/96/97/99 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: Tropical1 ex4406.12/92 4407.21/22/23/25/26/27/28/29 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 44.08 634.1
7.C Coniferous 4408.10 4408.10 4408.10 634.11
7.NC Non-Coniferous 4408.31/39/90 4408.31/39/90 4408.31/39/90 634.12
7.NC.T of which: Tropical 4408.31/39 4408.31/39 4408.31/39 ex4408.90 ex634.12
8 WOOD-BASED PANELS 44.10 44.11 4412.31/33/34/39/41/42/49/51/52/59/91/92/99 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 4412.31/33/34/39/41/42/49/51/52/59/91/92/99 4412.31/33/34/39/94/99 4412.31/32/39/94/99 634.31/33/39
8.1.C Coniferous 4412.39/49/59/99 4412.39 ex4412.94 ex4412.99 4412.39 ex4412.94 ex.4412.99 ex634.31 ex634.33 ex634.39
8.1.NC Non-Coniferous 4412.33/34/42/52/92 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 4412.31/41/51/91 4412.31 ex4412.94 ex4412.99 4412.31 ex4412.32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.1.1 of which: Laminated Veneer Lumber (LVL) 4412.41/42/49 ex4412.99 ex4412.99 ex634.39
8.1.1.C Coniferous 4412.49 ex4412.99 ex4412.99 ex634.39
8.1.1.NC Non-Coniferous 4412.41/42 ex4412.99 ex4412.99 ex634.39
8.1.1.NC.T of which: Tropical 4412.41 ex4412.99 ex4412.99 ex634.39
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) and SIMILAR BOARD 44.10 44.10 44.10 634.22/23
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 4410.12 4410.12 4410.12 ex634.22
8.3 FIBREBOARD 44.11 44.11 44.11 634.5
8.3.1 HARDBOARD 4411.92 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* 4411.12/13 ex4411.14* ex634.54 ex634.55
8.3.3 OTHER FIBREBOARD ex4411.14* 4411.93/94 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 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 47.01 47.05 251.2 251.91
9.2 CHEMICAL WOOD PULP 47.03 47.04 47.03 47.04 47.03 47.04 251.4 251.5 251.6
9.2.1 SULPHATE PULP 47.03 47.03 47.03 251.4 251.5
9.2.1.1 of which: BLEACHED 4703.21/29 4703.21/29 4703.21/29 251.5
9.2.2 SULPHITE PULP 47.04 47.04 47.04 251.6
9.3 DISSOLVING GRADES 47.02 47.02 47.02 251.3
10 OTHER PULP 47.06 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 4706.10/30/91/92/93 ex251.92
10.2 RECOVERED FIBRE PULP 4706.20 4706.20 4706.20 ex251.92
11 RECOVERED PAPER 47.07 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 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 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 48.01 641.1
12.1.2 UNCOATED MECHANICAL 4802.61/62/69 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 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 48.09 4810.13/14/19/22/29 641.3
12.2 HOUSEHOLD AND SANITARY PAPERS 48.03 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 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 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 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 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 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 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
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)2 4418.81/82 ex4418.60 ex4418.60 ex635.39
15.1 GLULAM 4418.81 ex4418.60 ex4418.60 ex635.39
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 4418.82 ex4418.60 ex4418.60 ex635.39
16 I BEAMS (I-JOISTS)2 4418.83 ex4418.60 ex4418.60 ex635.39
1Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
2 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included in JQ1 and JQ2
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/HS2022 or SITC Rev.4 code is applicable.
For instance "ex4401.49" under product 3.2 means that only a part of HS2022 code 4401.49 refers to wood residues coming from wood processing (the other part coded under 4401.49 is recovered post-consumer wood).
++ Please use your judgement or, as a default, assign half of 4401.49 to item 3.2 and half to item 4 (note different quantity units)
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.

Annex3 | JQ3-Corres.

FOREST SECTOR QUESTIONNAIRE JQ3 (Supp. 1)
SECONDARY PROCESSED PRODUCTS
Trade
CORRESPONDENCES to HS 2022, HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2022 HS2017 HS2012 SITC Rev.4
13 SECONDARY WOOD PRODUCTS
13.1 FURTHER PROCESSED SAWNWOOD 4409.10/22/29 4409.10/22/29 4409.10/29 248.3 248.5
13.1.C Coniferous 4409.10 4409.10 4409.10 248.3
13.1.NC Non-coniferous 4409.22/29 4409.22/29 4409.29 248.5
13.1.NC.T of which: Tropical 4409.22 4409.22 ex4409.29 ex248.5
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 44.15/16 44.15/16 44.15/16 635.1 635.2
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 44.14 4419.20 4419.90 44.20 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 WOOD1 4418.11/19/21/29/30/40/50/74/75/79/89/92/99 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 9401.31/41 9401.61/69/91 9403.30/40/50/60/91 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 9406.10 ex94.06 ex811.0
13.7 OTHER MANUFACTURED WOOD PRODUCTS 44.04/05/13/17 4421.10/20/99 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 48.07 641.92
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 4811.10/41/49/60/90 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 48.18 642.43/94
14.4 PACKAGING CARTONS, BOXES ETC. 48.19 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 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 ex4823.90 ex642.99
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 4823.70 4823.70 4823.70 ex642.99
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 4823.20 4823.20 4823.20 642.45
1 In February 2023 this definition was updated to exclude Glulam, Cross-Laminated Timber and I-Beams which are now distinct items in the JFSQ (15.1, 15.2 and 16).
This change was made to reflect the update of HS2022.
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017/2022 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).

Annex4 |JQ2-JQ3-Corres.

JQ Product code Nomenclature HS Code Remarks on HS codes
1 HS2002 440110 Annex 4 does not include HS2022 codes
1 HS2002 4403
1 HS2007 440110
1 HS2007 4403
1 HS2012 440110
1 HS2012 4403
1 HS2017 440111
1 HS2017 440112
1 HS2017 4403
1.1 HS2002 440110
1.1 HS2007 440110
1.1 HS2012 440110
1.1 HS2017 440111
1.1 HS2017 440112
1.1C HS2002 440110 Only some part of it
1.1C HS2007 440110 Only some part of it
1.1C HS2012 440110 Only some part of it
1.1C HS2017 440111
1.1NC HS2002 440110 Only some part of it
1.1NC HS2007 440110 Only some part of it
1.1NC HS2012 440110 Only some part of it
1.1NC HS2017 440112
1.2 HS2002 4403
1.2 HS2007 4403
1.2 HS2012 4403
1.2 HS2017 4403
1.2.C HS2002 440310 Only some part of it
1.2.C HS2002 440320
1.2.C HS2007 440310 Only some part of it
1.2.C HS2007 440320
1.2.C HS2012 440310 Only some part of it
1.2.C HS2012 440320
1.2.C HS2017 440311
1.2.C HS2017 440321
1.2.C HS2017 440322
1.2.C HS2017 440323
1.2.C HS2017 440324
1.2.C HS2017 440325
1.2.C HS2017 440326
1.2.NC HS2002 440310 Only some part of it
1.2.NC HS2002 440341
1.2.NC HS2002 440349
1.2.NC HS2002 440391
1.2.NC HS2002 440392
1.2.NC HS2002 440399
1.2.NC HS2007 440310 Only some part of it
1.2.NC HS2007 440341
1.2.NC HS2007 440349
1.2.NC HS2007 440391
1.2.NC HS2007 440392
1.2.NC HS2007 440399
1.2.NC HS2012 440310 Only some part of it
1.2.NC HS2012 440341
1.2.NC HS2012 440349
1.2.NC HS2012 440391
1.2.NC HS2012 440392
1.2.NC HS2012 440399
1.2.NC HS2017 440312
1.2.NC HS2017 440341
1.2.NC HS2017 440349
1.2.NC HS2017 440391
1.2.NC HS2017 440393
1.2.NC HS2017 440394
1.2.NC HS2017 440395
1.2.NC HS2017 440396
1.2.NC HS2017 440397
1.2.NC HS2017 440398
1.2.NC HS2017 440399
1.2.NC.T HS2002 440310 Only some part of it
1.2.NC.T HS2002 440341
1.2.NC.T HS2002 440349
1.2.NC.T HS2002 440399 Only some part of it
1.2.NC.T HS2007 440310 Only some part of it
1.2.NC.T HS2007 440341
1.2.NC.T HS2007 440349
1.2.NC.T HS2007 440399 Only some part of it
1.2.NC.T HS2012 440310 Only some part of it
1.2.NC.T HS2012 440341
1.2.NC.T HS2012 440349
1.2.NC.T HS2012 440399 Only some part of it
1.2.NC.T HS2017 440312 Only some part of it
1.2.NC.T HS2017 440341
1.2.NC.T HS2017 440349
2 HS2002 440200 Only some part of it
2 HS2007 440290
2 HS2012 440290
2 HS2017 440290
3 HS2002 440121
3 HS2002 440122
3 HS2002 440130 Only some part of it
3 HS2007 440121
3 HS2007 440122
3 HS2007 440130 Only some part of it
3 HS2012 440121
3 HS2012 440122
3 HS2012 440139 Only some part of it
3 HS2017 440121
3 HS2017 440122
3 HS2017 440140
3.1 HS2002 440121
3.1 HS2002 440122
3.1 HS2007 440121
3.1 HS2007 440122
3.1 HS2012 440121
3.1 HS2012 440122
3.1 HS2017 440121
3.1 HS2017 440122
3.2 HS2002 440130 Only some part of it
3.2 HS2012 440130 Only some part of it
3.2 HS2012 440139 Only some part of it
3.2 HS2017 440140 Only some part of it
4 HS2002 440130 Only some part of it
4 HS2007 440130 Only some part of it
4 HS2012 440139 Only some part of it
4 HS2017 440140 Only some part of it
5 HS2002 440130 Only some part of it
5 HS2007 440130 Only some part of it
5 HS2012 440131
5 HS2012 440139 Only some part of it
5 HS2017 440131
5 HS2017 440139
5.1 HS2002 440130 Only some part of it
5.1 HS2007 440130 Only some part of it
5.1 HS2012 440131
5.1 HS2017 440131
5.2 HS2002 440130 Only some part of it
5.2 HS2007 440130 Only some part of it
5.2 HS2012 440139 Only some part of it
5.2 HS2017 440139
6 HS2002 4406
6 HS2002 4407
6 HS2007 4406
6 HS2007 4407
6 HS2012 4406
6 HS2012 4407
6 HS2017 4406
6 HS2017 4407
6.C HS2002 440610 Only some part of it
6.C HS2002 440690 Only some part of it
6.C HS2002 440710
6.C HS2007 440610 Only some part of it
6.C HS2007 440690 Only some part of it
6.C HS2007 440710
6.C HS2012 440610 Only some part of it
6.C HS2012 440690 Only some part of it
6.C HS2012 440710
6.C HS2017 440611
6.C HS2017 440691
6.C HS2017 440711
6.C HS2017 440712
6.C HS2017 440719
6.NC HS2002 440610 Only some part of it
6.NC HS2002 440690 Only some part of it
6.NC HS2002 440724
6.NC HS2002 440725
6.NC HS2002 440726
6.NC HS2002 440729
6.NC HS2002 440791
6.NC HS2002 440792
6.NC HS2002 440799
6.NC HS2007 440610 Only some part of it
6.NC HS2007 440690 Only some part of it
6.NC HS2007 440721
6.NC HS2007 440722
6.NC HS2007 440725
6.NC HS2007 440726
6.NC HS2007 440727
6.NC HS2007 440728
6.NC HS2007 440729
6.NC HS2007 440791
6.NC HS2007 440792
6.NC HS2007 440793
6.NC HS2007 440794
6.NC HS2007 440795
6.NC HS2007 440799
6.NC HS2012 440610 Only some part of it
6.NC HS2012 440690 Only some part of it
6.NC HS2012 440721
6.NC HS2012 440722
6.NC HS2012 440725
6.NC HS2012 440726
6.NC HS2012 440727
6.NC HS2012 440728
6.NC HS2012 440729
6.NC HS2012 440791
6.NC HS2012 440792
6.NC HS2012 440793
6.NC HS2012 440794
6.NC HS2012 440795
6.NC HS2012 440799
6.NC HS2017 4406.12
6.NC HS2017 4406.92
6.NC HS2017 4407.21
6.NC HS2017 4407.22
6.NC HS2017 4407.25
6.NC HS2017 4407.26
6.NC HS2017 4407.27
6.NC HS2017 4407.28
6.NC HS2017 4407.29
6.NC HS2017 4407.91
6.NC HS2017 4407.92
6.NC HS2017 4407.93
6.NC HS2017 4407.94
6.NC HS2017 4407.95
6.NC HS2017 4407.96
6.NC HS2017 4407.97
6.NC HS2017 4407.99
6.NC.T HS2002 440610 Only some part of it
6.NC.T HS2002 440690 Only some part of it
6.NC.T HS2002 440724
6.NC.T HS2002 440725
6.NC.T HS2002 440726
6.NC.T HS2002 440729
6.NC.T HS2002 440799 Only some part of it
6.NC.T HS2007 440610 Only some part of it
6.NC.T HS2007 440690 Only some part of it
6.NC.T HS2007 440721
6.NC.T HS2007 440722
6.NC.T HS2007 440725
6.NC.T HS2007 440726
6.NC.T HS2007 440727
6.NC.T HS2007 440728
6.NC.T HS2007 440729
6.NC.T HS2007 440799 Only some part of it
6.NC.T HS2012 440610 Only some part of it
6.NC.T HS2012 440690 Only some part of it
6.NC.T HS2012 440721
6.NC.T HS2012 440722
6.NC.T HS2012 440725
6.NC.T HS2012 440726
6.NC.T HS2012 440727
6.NC.T HS2012 440728
6.NC.T HS2012 440729
6.NC.T HS2012 440799 Only some part of it
6.NC.T HS2017 440612 Only some part of it
6.NC.T HS2017 440692 Only some part of it
6.NC.T HS2017 440721
6.NC.T HS2017 440722
6.NC.T HS2017 440725
6.NC.T HS2017 440726
6.NC.T HS2017 440727
6.NC.T HS2017 440728
6.NC.T HS2017 440729
7 HS2002 4408
7 HS2007 4408
7 HS2012 4408
7 HS2017 4408
7.C HS2002 440810
7.C HS2007 440810
7.C HS2012 440810
7.C HS2017 440810
7.NC HS2002 440831
7.NC HS2002 440839
7.NC HS2002 440890
7.NC HS2007 440831
7.NC HS2007 440839
7.NC HS2007 440890
7.NC HS2012 440831
7.NC HS2012 440839
7.NC HS2012 440890
7.NC HS2017 440831
7.NC HS2017 440839
7.NC HS2017 440890
7.NC.T HS2002 440831
7.NC.T HS2002 440839
7.NC.T HS2002 440890 Only some part of it
7.NC.T HS2007 440831
7.NC.T HS2007 440839
7.NC.T HS2007 440890 Only some part of it
7.NC.T HS2012 440831
7.NC.T HS2012 440839
7.NC.T HS2012 440890 Only some part of it
7.NC.T HS2017 440831
7.NC.T HS2017 440839
8 HS2002 4410
8 HS2002 4411
8 HS2002 441213
8 HS2002 441214
8 HS2002 441219
8 HS2002 441299 Only some part of it
8 HS2007 4410
8 HS2007 4411
8 HS2007 441231
8 HS2007 441232
8 HS2007 441239
8 HS2007 441294
8 HS2007 441299
8 HS2012 4410
8 HS2012 4411
8 HS2012 441231
8 HS2012 441232
8 HS2012 441239
8 HS2012 441294
8 HS2012 441299
8 HS2017 4410
8 HS2017 4411
8 HS2017 441231
8 HS2017 441233
8 HS2017 441234
8 HS2017 441239
8 HS2017 441294
8 HS2017 441299
8.1 HS2002 441213
8.1 HS2002 441214
8.1 HS2002 441219
8.1 HS2002 441299 Only some part of it
8.1 HS2007 441231
8.1 HS2007 441232
8.1 HS2007 441239
8.1 HS2007 441294
8.1 HS2007 441299
8.1 HS2012 441231
8.1 HS2012 441232
8.1 HS2012 441239
8.1 HS2012 441294
8.1 HS2012 441299
8.1 HS2017 441231
8.1 HS2017 441233
8.1 HS2017 441234
8.1 HS2017 441239
8.1 HS2017 441294
8.1 HS2017 441299
8.1.C HS2002 441219
8.1.C HS2002 441299 Only some part of it
8.1.C HS2007 441239
8.1.C HS2007 441294 Only some part of it
8.1.C HS2007 441299 Only some part of it
8.1.C HS2012 441239
8.1.C HS2012 441294 Only some part of it
8.1.C HS2012 441299 Only some part of it
8.1.C HS2017 441239
8.1.C HS2017 441294 Only some part of it
8.1.C HS2017 441299 Only some part of it
8.1.NC HS2002 441213
8.1.NC HS2002 441214
8.1.NC HS2002 441299 Only some part of it
8.1.NC HS2007 441231
8.1.NC HS2007 441232
8.1.NC HS2007 441294 Only some part of it
8.1.NC HS2007 441299 Only some part of it
8.1.NC HS2012 441231
8.1.NC HS2012 441232
8.1.NC HS2012 441294 Only some part of it
8.1.NC HS2012 441299 Only some part of it
8.1.NC HS2017 441231
8.1.NC HS2017 441233
8.1.NC HS2017 441234
8.1.NC HS2017 441294 Only some part of it
8.1.NC HS2017 441299 Only some part of it
8.1.NC.T HS2002 441213
8.1.NC.T HS2002 441214 Only some part of it
8.1.NC.T HS2002 441299 Only some part of it
8.1.NC.T HS2007 441231
8.1.NC.T HS2007 441232 Only some part of it
8.1.NC.T HS2007 441294 Only some part of it
8.1.NC.T HS2007 441299 Only some part of it
8.1.NC.T HS2012 441231
8.1.NC.T HS2012 441232 Only some part of it
8.1.NC.T HS2012 441294 Only some part of it
8.1.NC.T HS2012 441299 Only some part of it
8.1.NC.T HS2017 441231
8.1.NC.T HS2017 441294 Only some part of it
8.1.NC.T HS2017 441299 Only some part of it
8.2 HS2002 4410
8.2 HS2007 4410
8.2 HS2012 4410
8.2 HS2017 4410
8.2.1 HS2002 441021 Only some part of it
8.2.1 HS2002 441029 Only some part of it
8.2.1 HS2007 441012
8.2.1 HS2012 441012
8.2.1 HS2017 441012
8.3 HS2002 4411
8.3 HS2007 4411
8.3 HS2012 4411
8.3 HS2017 4411
8.3.1 HS2002 441111 Only some part of it
8.3.1 HS2002 441119 Only some part of it
8.3.1 HS2007 441192
8.3.1 HS2012 441192
8.3.1 HS2017 441192
8.3.2 HS2002 441111 Only some part of it
8.3.2 HS2002 441119 Only some part of it
8.3.2 HS2002 441121 Only some part of it
8.3.2 HS2002 441129 Only some part of it
8.3.2 HS2007 441112
8.3.2 HS2007 441113
8.3.2 HS2007 441114 Only some part of it
8.3.2 HS2012 441112
8.3.2 HS2012 441113
8.3.2 HS2012 441114 Only some part of it
8.3.2 HS2017 441112
8.3.2 HS2017 441113
8.3.2 HS2017 441114 Only some part of it
8.3.3 HS2002 441131
8.3.3 HS2002 441139
8.3.3 HS2002 441191
8.3.3 HS2002 441199
8.3.3 HS2007 441114 Only some part of it
8.3.3 HS2007 441193
8.3.3 HS2007 441194
8.3.3 HS2012 441114 Only some part of it
8.3.3 HS2012 441193
8.3.3 HS2012 441194
8.3.3 HS2017 441114 Only some part of it
8.3.3 HS2017 441193
8.3.3 HS2017 441194
9 HS2002 4701
9 HS2002 4702
9 HS2002 4703
9 HS2002 4704
9 HS2002 4705
9 HS2007 4701
9 HS2007 4702
9 HS2007 4703
9 HS2007 4704
9 HS2007 4705
9 HS2012 4701
9 HS2012 4702
9 HS2012 4703
9 HS2012 4704
9 HS2012 4705
9 HS2017 4701
9 HS2017 4702
9 HS2017 4703
9 HS2017 4704
9 HS2017 4705
9.1 HS2002 4701
9.1 HS2002 4705
9.1 HS2007 4701
9.1 HS2007 4705
9.1 HS2012 4701
9.1 HS2012 4705
9.1 HS2017 4701
9.1 HS2017 4705
9.2 HS2002 4703
9.2 HS2002 4704
9.2 HS2007 4703
9.2 HS2007 4704
9.2 HS2012 4703
9.2 HS2012 4704
9.2 HS2017 4703
9.2 HS2017 4704
9.2.1 HS2002 4703
9.2.1 HS2007 4703
9.2.1 HS2012 4703
9.2.1 HS2017 4703
9.2.1.1 HS2002 470321
9.2.1.1 HS2002 470329
9.2.1.1 HS2007 470321
9.2.1.1 HS2007 470329
9.2.1.1 HS2012 470321
9.2.1.1 HS2012 470329
9.2.1.1 HS2017 470321
9.2.1.1 HS2017 470329
9.2.2 HS2002 4704
9.2.2 HS2007 4704
9.2.2 HS2012 4704
9.2.2 HS2017 4704
9.3 HS2002 4702
9.3 HS2007 4702
9.3 HS2012 4702
9.3 HS2017 4702
10 HS2002 4706
10 HS2007 4706
10 HS2012 4706
10 HS2017 4706
10.1 HS2002 470610
10.1 HS2002 470691
10.1 HS2002 470692
10.1 HS2002 470693
10.1 HS2007 470610
10.1 HS2007 470630
10.1 HS2007 470691
10.1 HS2007 470692
10.1 HS2007 470693
10.1 HS2012 470610
10.1 HS2012 470630
10.1 HS2012 470691
10.1 HS2012 470692
10.1 HS2012 470693
10.1 HS2017 470610
10.1 HS2017 470630
10.1 HS2017 470691
10.1 HS2017 470692
10.1 HS2017 470693
10.2 HS2002 470620
10.2 HS2007 470620
10.2 HS2012 470620
10.2 HS2017 470620
11 HS2002 4707
11 HS2007 4707
11 HS2012 4707
11 HS2017 4707
12 HS2002 4801
12 HS2002 4802
12 HS2002 4803
12 HS2002 4804
12 HS2002 4805
12 HS2002 4806
12 HS2002 4808
12 HS2002 4809
12 HS2002 4810
12 HS2002 481151
12 HS2002 481159
12 HS2002 4812
12 HS2002 4813
12 HS2007 4801
12 HS2007 4802
12 HS2007 4803
12 HS2007 4804
12 HS2007 4805
12 HS2007 4806
12 HS2007 4808
12 HS2007 4809
12 HS2007 4810
12 HS2007 481151
12 HS2007 481159
12 HS2007 4812
12 HS2007 4813
12 HS2012 4801
12 HS2012 4802
12 HS2012 4803
12 HS2012 4804
12 HS2012 4805
12 HS2012 4806
12 HS2012 4808
12 HS2012 4809
12 HS2012 4810
12 HS2012 481151
12 HS2012 481159
12 HS2012 4812
12 HS2012 4813
12 HS2017 4801
12 HS2017 4802
12 HS2017 4803
12 HS2017 4804
12 HS2017 4805
12 HS2017 4806
12 HS2017 4808
12 HS2017 4809
12 HS2017 4810
12 HS2017 481151
12 HS2017 481159
12 HS2017 4812
12 HS2017 4813
12.1 HS2002 4801
12.1 HS2002 480210
12.1 HS2002 480220
12.1 HS2002 480254
12.1 HS2002 480255
12.1 HS2002 480256
12.1 HS2002 480257
12.1 HS2002 480258
12.1 HS2002 480261
12.1 HS2002 480262
12.1 HS2002 480269
12.1 HS2002 4809
12.1 HS2002 481013
12.1 HS2002 481014
12.1 HS2002 481019
12.1 HS2002 481022
12.1 HS2002 481029
12.1 HS2007 4801
12.1 HS2007 480210
12.1 HS2007 480220
12.1 HS2007 480254
12.1 HS2007 480255
12.1 HS2007 480256
12.1 HS2007 480257
12.1 HS2007 480258
12.1 HS2007 480261
12.1 HS2007 480262
12.1 HS2007 480269
12.1 HS2007 4809
12.1 HS2007 481013
12.1 HS2007 481014
12.1 HS2007 481019
12.1 HS2007 481022
12.1 HS2007 481029
12.1 HS2012 4801
12.1 HS2012 480210
12.1 HS2012 480220
12.1 HS2012 480254
12.1 HS2012 480255
12.1 HS2012 480256
12.1 HS2012 480257
12.1 HS2012 480258
12.1 HS2012 480261
12.1 HS2012 480262
12.1 HS2012 480269
12.1 HS2012 4809
12.1 HS2012 481013
12.1 HS2012 481014
12.1 HS2012 481019
12.1 HS2012 481022
12.1 HS2012 481029
12.1 HS2017 4801
12.1 HS2017 480210
12.1 HS2017 480220
12.1 HS2017 480254
12.1 HS2017 480255
12.1 HS2017 480256
12.1 HS2017 480257
12.1 HS2017 480258
12.1 HS2017 480261
12.1 HS2017 480262
12.1 HS2017 480269
12.1 HS2017 4809
12.1 HS2017 481013
12.1 HS2017 481014
12.1 HS2017 481019
12.1 HS2017 481022
12.1 HS2017 481029
12.1.1 HS2002 4801
12.1.1 HS2007 4801
12.1.1 HS2012 4801
12.1.1 HS2017 4801
12.1.2 HS2002 480261
12.1.2 HS2002 480262
12.1.2 HS2002 480269
12.1.2 HS2007 480261
12.1.2 HS2007 480262
12.1.2 HS2007 480269
12.1.2 HS2012 480261
12.1.2 HS2012 480262
12.1.2 HS2012 480269
12.1.2 HS2017 480261
12.1.2 HS2017 480262
12.1.2 HS2017 480269
12.1.3 HS2002 480210
12.1.3 HS2002 480220
12.1.3 HS2002 480254
12.1.3 HS2002 480255
12.1.3 HS2002 480256
12.1.3 HS2002 480257
12.1.3 HS2002 480258
12.1.3 HS2007 480210
12.1.3 HS2007 480220
12.1.3 HS2007 480254
12.1.3 HS2007 480255
12.1.3 HS2007 480256
12.1.3 HS2007 480257
12.1.3 HS2007 480258
12.1.3 HS2012 480210
12.1.3 HS2012 480220
12.1.3 HS2012 480254
12.1.3 HS2012 480255
12.1.3 HS2012 480256
12.1.3 HS2012 480257
12.1.3 HS2012 480258
12.1.3 HS2017 480210
12.1.3 HS2017 480220
12.1.3 HS2017 480254
12.1.3 HS2017 480255
12.1.3 HS2017 480256
12.1.3 HS2017 480257
12.1.3 HS2017 480258
12.1.4 HS2002 4809
12.1.4 HS2002 481013
12.1.4 HS2002 481014
12.1.4 HS2002 481019
12.1.4 HS2002 481022
12.1.4 HS2002 481029
12.1.4 HS2007 4809
12.1.4 HS2007 481013
12.1.4 HS2007 481014
12.1.4 HS2007 481019
12.1.4 HS2007 481022
12.1.4 HS2007 481029
12.1.4 HS2012 4809
12.1.4 HS2012 481013
12.1.4 HS2012 481014
12.1.4 HS2012 481019
12.1.4 HS2012 481022
12.1.4 HS2012 481029
12.1.4 HS2017 4809
12.1.4 HS2017 481013
12.1.4 HS2017 481014
12.1.4 HS2017 481019
12.1.4 HS2017 481022
12.1.4 HS2017 481029
12.2 HS2002 4803
12.2 HS2007 4803
12.2 HS2012 4803
12.2 HS2017 4803
12.3 HS2002 480411
12.3 HS2002 480419
12.3 HS2002 480421
12.3 HS2002 480429
12.3 HS2002 480431
12.3 HS2002 480439
12.3 HS2002 480442
12.3 HS2002 480449
12.3 HS2002 480451
12.3 HS2002 480452
12.3 HS2002 480459
12.3 HS2002 480511
12.3 HS2002 480512
12.3 HS2002 480519
12.3 HS2002 480524
12.3 HS2002 480525
12.3 HS2002 480530
12.3 HS2002 480591
12.3 HS2002 480592
12.3 HS2002 480593
12.3 HS2002 480610
12.3 HS2002 480620
12.3 HS2002 480640
12.3 HS2002 4808
12.3 HS2002 481031
12.3 HS2002 481032
12.3 HS2002 481039
12.3 HS2002 481092
12.3 HS2002 481099
12.3 HS2002 481151
12.3 HS2002 481159
12.3 HS2007 480411
12.3 HS2007 480419
12.3 HS2007 480421
12.3 HS2007 480429
12.3 HS2007 480431
12.3 HS2007 480439
12.3 HS2007 480442
12.3 HS2007 480449
12.3 HS2007 480451
12.3 HS2007 480452
12.3 HS2007 480459
12.3 HS2007 480511
12.3 HS2007 480512
12.3 HS2007 480519
12.3 HS2007 480524
12.3 HS2007 480525
12.3 HS2007 480530
12.3 HS2007 480591
12.3 HS2007 480592
12.3 HS2007 480593
12.3 HS2007 480610
12.3 HS2007 480620
12.3 HS2007 480640
12.3 HS2007 4808
12.3 HS2007 481031
12.3 HS2007 481032
12.3 HS2007 481039
12.3 HS2007 481092
12.3 HS2007 481099
12.3 HS2007 481151
12.3 HS2007 481159
12.3 HS2012 480411
12.3 HS2012 480419
12.3 HS2012 480421
12.3 HS2012 480429
12.3 HS2012 480431
12.3 HS2012 480439
12.3 HS2012 480442
12.3 HS2012 480449
12.3 HS2012 480451
12.3 HS2012 480452
12.3 HS2012 480459
12.3 HS2012 480511
12.3 HS2012 480512
12.3 HS2012 480519
12.3 HS2012 480524
12.3 HS2012 480525
12.3 HS2012 480530
12.3 HS2012 480591
12.3 HS2012 480592
12.3 HS2012 480593
12.3 HS2012 480610
12.3 HS2012 480620
12.3 HS2012 480640
12.3 HS2012 4808
12.3 HS2012 481031
12.3 HS2012 481032
12.3 HS2012 481039
12.3 HS2012 481092
12.3 HS2012 481099
12.3 HS2012 481151
12.3 HS2012 481159
12.3 HS2017 480411
12.3 HS2017 480419
12.3 HS2017 480421
12.3 HS2017 480429
12.3 HS2017 480431
12.3 HS2017 480439
12.3 HS2017 480442
12.3 HS2017 480449
12.3 HS2017 480451
12.3 HS2017 480452
12.3 HS2017 480459
12.3 HS2017 480511
12.3 HS2017 480512
12.3 HS2017 480519
12.3 HS2017 480524
12.3 HS2017 480525
12.3 HS2017 480530
12.3 HS2017 480591
12.3 HS2017 480592
12.3 HS2017 480593
12.3 HS2017 480610
12.3 HS2017 480620
12.3 HS2017 480640
12.3 HS2017 4808
12.3 HS2017 481031
12.3 HS2017 481032
12.3 HS2017 481039
12.3 HS2017 481092
12.3 HS2017 481099
12.3 HS2017 481151
12.3 HS2017 481159
12.3.1 HS2002 480411
12.3.1 HS2002 480419
12.3.1 HS2002 480511
12.3.1 HS2002 480512
12.3.1 HS2002 480519
12.3.1 HS2002 480524
12.3.1 HS2002 480525
12.3.1 HS2002 480591
12.3.1 HS2007 480411
12.3.1 HS2007 480419
12.3.1 HS2007 480511
12.3.1 HS2007 480512
12.3.1 HS2007 480519
12.3.1 HS2007 480524
12.3.1 HS2007 480525
12.3.1 HS2007 480591
12.3.1 HS2012 480411
12.3.1 HS2012 480419
12.3.1 HS2012 480511
12.3.1 HS2012 480512
12.3.1 HS2012 480519
12.3.1 HS2012 480524
12.3.1 HS2012 480525
12.3.1 HS2012 480591
12.3.2 HS2002 480442
12.3.2 HS2002 480449
12.3.2 HS2002 480451
12.3.2 HS2002 480452
12.3.2 HS2002 480459
12.3.2 HS2002 480592
12.3.2 HS2002 481032
12.3.2 HS2002 481039
12.3.2 HS2002 481092
12.3.2 HS2002 481151
12.3.2 HS2002 481159
12.3.2 HS2007 480442
12.3.2 HS2007 480449
12.3.2 HS2007 480451
12.3.2 HS2007 480452
12.3.2 HS2007 480459
12.3.2 HS2007 480592
12.3.2 HS2007 481032
12.3.2 HS2007 481039
12.3.2 HS2007 481092
12.3.2 HS2007 481151
12.3.2 HS2007 481159
12.3.2 HS2012 480442
12.3.2 HS2012 480449
12.3.2 HS2012 480451
12.3.2 HS2012 480452
12.3.2 HS2012 480459
12.3.2 HS2012 480592
12.3.2 HS2012 481032
12.3.2 HS2012 481039
12.3.2 HS2012 481092
12.3.2 HS2012 481151
12.3.2 HS2012 481159
12.3.2 HS2017 480442
12.3.2 HS2017 480449
12.3.2 HS2017 480451
12.3.2 HS2017 480452
12.3.2 HS2017 480459
12.3.2 HS2017 480592
12.3.2 HS2017 481032
12.3.2 HS2017 481039
12.3.2 HS2017 481092
12.3.2 HS2017 481151
12.3.2 HS2017 481159
12.3.3 HS2002 480421
12.3.3 HS2002  480429
12.3.3 HS2002  480431
12.3.3 HS2002 480439
12.3.3 HS2002 480530
12.3.3 HS2002 480610
12.3.3 HS2002 480620
12.3.3 HS2002 480640
12.3.3 HS2002 4808
12.3.3 HS2002 481031
12.3.3 HS2002 481099
12.3.3 HS2007 480421
12.3.3 HS2007 480429
12.3.3 HS2007 480431
12.3.3 HS2007 480439
12.3.3 HS2007 480530
12.3.3 HS2007 480610
12.3.3 HS2007 480620
12.3.3 HS2007 480640
12.3.3 HS2007 4808
12.3.3 HS2007 481031
12.3.3 HS2007 481099
12.3.3 HS2012 480421
12.3.3 HS2012 480429
12.3.3 HS2012 480431
12.3.3 HS2012 480439
12.3.3 HS2012 480530
12.3.3 HS2012 480610
12.3.3 HS2012 480620
12.3.3 HS2012 480640
12.3.3 HS2012 4808
12.3.3 HS2012 481031
12.3.3 HS2012 481099
12.3.3 HS2017 480421
12.3.3 HS2017 480429
12.3.3 HS2017 480431
12.3.3 HS2017 480439
12.3.3 HS2017 480530
12.3.3 HS2017 480610
12.3.3 HS2017 480620
12.3.3 HS2017 480640
12.3.3 HS2017 4808
12.3.3 HS2017 481031
12.3.3 HS2017 481099
12.3.4 HS2002 480593
12.3.4 HS2007 480593
12.3.4 HS2012 480593
12.3.4 HS2017 480593
12.4 HS2002 480240
12.4 HS2002 480441
12.4 HS2002 480540
12.4 HS2002 480550
12.4 HS2002 480630
12.4 HS2002 4812
12.4 HS2002 4813
12.4 HS2007 480240
12.4 HS2007 480441
12.4 HS2007 480540
12.4 HS2007 480550
12.4 HS2007 480630
12.4 HS2007 4812
12.4 HS2007 4813
12.4 HS2012 480240
12.4 HS2012 480441
12.4 HS2012 480540
12.4 HS2012 480550
12.4 HS2012 480630
12.4 HS2012 4812
12.4 HS2012 4813
12.4 HS2017 480240
12.4 HS2017 480441
12.4 HS2017 480540
12.4 HS2017 480550
12.4 HS2017 480630
12.4 HS2017 4812
12.4 HS2017 4813
13.1 HS2002 440910
13.1 HS2002 440920 Only some part of it
13.1 HS2007 440910
13.1 HS2007 440929
13.1 HS2012 440910
13.1 HS2012 440929
13.1 HS2017 440910
13.1 HS2017 440922
13.1 HS2017 440929
13.1.C HS2002 440910
13.1.C HS2007 440910
13.1.C HS2012 440910
13.1.C HS2017 440910
13.1.NC HS2002 440920 Only some part of it
13.1.NC HS2007 440929
13.1.NC HS2012 440929
13.1.NC HS2017 440922
13.1.NC HS2017 440929
13.1.NC.T HS2002 440920 Only some part of it
13.1.NC.T HS2007 440929 Only some part of it
13.1.NC.T HS2012 440929 Only some part of it
13.1.NC.T HS2017 440922
13.2 HS2002 4415
13.2 HS2002 4416
13.2 HS2007 4415
13.2 HS2007 4416
13.2 HS2012 4415
13.2 HS2012 4416
13.2 HS2017 4415
13.2 HS2017 4416
13.3 HS2002 4414
13.3 HS2002 4419 Only some part of it
13.3 HS2002 4420
13.3 HS2007 4414
13.3 HS2007 4419 Only some part of it
13.3 HS2007 4420
13.3 HS2012 4414
13.3 HS2012 4419 Only some part of it
13.3 HS2012 4420
13.3 HS2017 4414
13.3 HS2017 441990
13.3 HS2017 4420
13.4 HS2002 441810
13.4 HS2002 441820
13.4 HS2002 441830
13.4 HS2002 441840
13.4 HS2002 441850
13.4 HS2002 441890 Only some part of it
13.4 HS2007 441810
13.4 HS2007 481820
13.4 HS2007 441840
13.4 HS2007 441850
13.4 HS2007 441860
13.4 HS2007 441871 Only some part of it
13.4 HS2007 441872 Only some part of it
13.4 HS2007 441879 Only some part of it
13.4 HS2007 441890 Only some part of it
13.4 HS2012 441810
13.4 HS2012 441820
13.4 HS2012 441840
13.4 HS2012 441850
13.4 HS2012 441860
13.4 HS2012 441871 Only some part of it
13.4 HS2012 441872 Only some part of it
13.4 HS2012 441879 Only some part of it
13.4 HS2012 441890 Only some part of it
13.4 HS2017 441810
13.4 HS2017 441820
13.4 HS2017 441840
13.4 HS2017 441850
13.4 HS2017 441860
13.4 HS2017 441874
13.4 HS2017 441875
13.4 HS2017 441879
13.4 HS2017 441899
13.5 HS2002 940161
13.5 HS2002 940169
13.5 HS2002 940190 Only some part of it
13.5 HS2002 940330
13.5 HS2002 940340
13.5 HS2002 940350
13.5 HS2002 940360
13.5 HS2002 940390 Only some part of it
13.5 HS2007 940161
13.5 HS2007 940169
13.5 HS2007 940190 Only some part of it
13.5 HS2007 940330
13.5 HS2007 940340
13.5 HS2007 940350
13.5 HS2007 940360
13.5 HS2007 940390 Only some part of it
13.5 HS2012 940161
13.5 HS2012 940169
13.5 HS2012 940190 Only some part of it
13.5 HS2012 940330
13.5 HS2012 940340
13.5 HS2012 940350
13.5 HS2012 940360
13.5 HS2012 940390 Only some part of it
13.5 HS2017 940161
13.5 HS2017 940169
13.5 HS2017 940190 Only some part of it
13.5 HS2017 940330
13.5 HS2017 940340
13.5 HS2017 940350
13.5 HS2017 940360
13.5 HS2017 940390 Only some part of it
13.6 HS2002 9406 Only some part of it
13.6 HS2007 9406 Only some part of it
13.6 HS2012 9406 Only some part of it
13.6 HS2017 940610
13.7 HS2002 4404
13.7 HS2002 4405
13.7 HS2002 4413
13.7 HS2002 4417
13.7 HS2002 442110
13.7 HS2002 442190 Only some part of it
13.7 HS2007 4404
13.7 HS2007 4405
13.7 HS2007 4413
13.7 HS2007 4417
13.7 HS2007 442110
13.7 HS2007 442190 Only some part of it
13.7 HS2012 4404
13.7 HS2012 4405
13.7 HS2012 4413
13.7 HS2012 4417
13.7 HS2012 442110
13.7 HS2012 442190 Only some part of it
13.7 HS2017 4404
13.7 HS2017 4405
13.7 HS2017 4413
13.7 HS2017 4417
13.7 HS2017 442110
13.7 HS2017 442199
14.1 HS2002 4807
14.1 HS2007 4807
14.1 HS2012 4807
14.1 HS2017 4807
14.2 HS2002 481110
14.2 HS2002 481141
14.2 HS2002 481149
14.2 HS2002 481160
14.2 HS2002 481190
14.2 HS2007 481110
14.2 HS2007 481141
14.2 HS2007 481149
14.2 HS2007 481160
14.2 HS2007 481190
14.2 HS2012 481110
14.2 HS2012 481141
14.2 HS2012 481149
14.2 HS2012 481160
14.2 HS2012 481190
14.2 HS2017 481110
14.2 HS2017 481141
14.2 HS2017 481149
14.2 HS2017 481160
14.2 HS2017 481190
14.3 HS2002 4818
14.3 HS2007 4818
14.3 HS2012 4818
14.3 HS2017 4818
14.4 HS2002 4819
14.4 HS2007 4819
14.4 HS2012 4819
14.4 HS2017 4819
14.5 HS2002 4814
14.5 HS2002 4816
14.5 HS2002 4817
14.5 HS2002 4820
14.5 HS2002 4821
14.5 HS2002 4822
14.5 HS2002 4823
14.5 HS2007 4814
14.5 HS2007 4816
14.5 HS2007 4817
14.5 HS2007 4820
14.5 HS2007 4821
14.5 HS2007 4822
14.5 HS2007 4823
14.5 HS2012 4814
14.5 HS2012 4816
14.5 HS2012 4817
14.5 HS2012 4820
14.5 HS2012 4821
14.5 HS2012 4822
14.5 HS2012 4823
14.5 HS2017 4814
14.5 HS2017 4816
14.5 HS2017 4817
14.5 HS2017 4820
14.5 HS2017 4821
14.5 HS2017 4822
14.5 HS2017 4823
14.5.1 HS2002 482390 Only some part of it
14.5.1 HS2007 482390 Only some part of it
14.5.1 HS2012 482390 Only some part of it
14.5.1 HS2017 482390 Only some part of it
14.5.2 HS2002 482370
14.5.2 HS2007 482370
14.5.2 HS2012 482370
14.5.2 HS2017 482370
14.5.3 HS2002 482320
14.5.3 HS2007 482320
14.5.3 HS2012 482320
14.5.3 HS2017 482320
12.6 HS2002 482110 Only some part of it
12.6 HS2002 482190 Only some part of it
12.6 HS2002 482210 Only some part of it
12.6 HS2002 482290 Only some part of it
12.6 HS2002 482312 Only some part of it
12.6 HS2002 482319 Only some part of it
12.6 HS2002 482320 Only some part of it
12.6 HS2002 482340 Only some part of it
12.6 HS2002 482360 Only some part of it
12.6 HS2002 482370 Only some part of it
12.6 HS2002 482390 Only some part of it
12.6 HS2002 480210 Only some part of it
12.6 HS2002 480220 Only some part of it
12.6 HS2002 480230 Only some part of it
12.6 HS2002 480240 Only some part of it
12.6 HS2002 480254 Only some part of it
12.6 HS2002 480255 Only some part of it
12.6 HS2002 480256 Only some part of it
12.6 HS2002 480257 Only some part of it
12.6 HS2002 480258 Only some part of it
12.6 HS2002 480261 Only some part of it
12.6 HS2002  480262 Only some part of it
12.6 HS2002  480269 Only some part of it
12.6 HS2002 481013 Only some part of it
12.6 HS2002 481014 Only some part of it
12.6 HS2002 481019 Only some part of it
12.6 HS2002 481022 Only some part of it
12.6 HS2002 481029 Only some part of it
12.6 HS2002 481031 Only some part of it
12.6 HS2002 481032 Only some part of it
12.6 HS2002 481039 Only some part of it
12.6 HS2002 481092 Only some part of it
12.6 HS2002  481099 Only some part of it
12.6 HS2007 481410
12.6 HS2007 481420
12.6 HS2007 481490
12.6 HS2007 481710
12.6 HS2007 481720
12.6 HS2007 481730
12.6 HS2007 482010
12.6 HS2007 482020
12.6 HS2007 482030
12.6 HS2007 482040
12.6 HS2007 482050
12.6 HS2007 482090
12.6 HS2007 482110
12.6 HS2007 482190
12.6 HS2007 482210
12.6 HS2007 482290
12.6 HS2007 482320
12.6 HS2007 482340
12.6 HS2007 482361
12.6 HS2007 482369
12.6 HS2007 482370
12.6 HS2007 482390
12.6 HS2012 481420
12.6 HS2012 481490
12.6 HS2012 481710
12.6 HS2012 481720
12.6 HS2012 481730
12.6 HS2012 482020
12.6 HS2012 482030
12.6 HS2012 482040
12.6 HS2012 482050
12.6 HS2012 482090
12.6 HS2012 482110
12.6 HS2012 482190
12.6 HS2012 482210
12.6 HS2012 482290
12.6 HS2012 482320
12.6 HS2012 482340
12.6 HS2012 482361
12.6 HS2012 482369
12.6 HS2012 482370
12.6 HS2012 482390
12.6.1 HS2002 480210 Only some part of it
12.6.1 HS2002 480220 Only some part of it
12.6.1 HS2002 480230 Only some part of it
12.6.1 HS2002 480240 Only some part of it
12.6.1 HS2002 480254 Only some part of it
12.6.1 HS2002 480255 Only some part of it
12.6.1 HS2002 480256 Only some part of it
12.6.1 HS2002 480257 Only some part of it
12.6.1 HS2002 480258 Only some part of it
12.6.1 HS2002 480261 Only some part of it
12.6.1 HS2002  480262 Only some part of it
12.6.1 HS2002  480269 Only some part of it
12.6.1 HS2002 481013 Only some part of it
12.6.1 HS2002 481014 Only some part of it
12.6.1 HS2002 481019 Only some part of it
12.6.1 HS2002 481022 Only some part of it
12.6.1 HS2002 481029 Only some part of it
12.6.1 HS2002 481031 Only some part of it
12.6.1 HS2002 481032 Only some part of it
12.6.1 HS2002 481039 Only some part of it
12.6.1 HS2002 481092 Only some part of it
12.6.1 HS2002  481099 Only some part of it
12.6.1 HS2002 482390 Only some part of it
12.6.1 HS2007 482390 Only some part of it
12.6.1 HS2012 482390 Only some part of it
12.6.2 HS2002 482370
12.6.2 HS2007 482370
12.6.2 HS2012 482370
12.6.3 HS2002 482320
12.6.3 HS2007 482320
12.6.3 HS2012 482320

Conversion factors

JFSQ
JOINT FOREST SECTOR QUESTIONNAIRE
Conversion Factors
NOTE THESE ARE ONLY GENERAL FACTORS. IT WOULD BE PREFERABLE TO USE SPECIES- OR COUNTRY-SPECIFIC FACTORS
Multiply the quantity expressed in units on the right side of "per" with the factor to get the value expressed in units on left side of "per".
Items in BOLD RED text were added to the JFSQ in February 2023
Product Code Product JFSQ Quantity Unit Results from UNECE/FAO/ITTO 2020 publication "Forest Product Conversion Factors" UNECE/FAO Engineered Wood Products Questionnaire (last revised 2020) Results from UNECE/FAO 2009 Conversion Factors Questionnaire (median) FAO and UNECE Statistical Publications (Pre-2009)
volume to weight volume/weight of finished product to volume of roundwood Notes to Results volume to weight Notes to Results volume to weight volume/weight of finished product to volume of roundwood Notes to Results volume to weight volume to area volume/weight of finished product to volume of roundwood
m3 per MT m3 per MT m3 per MT Roundwood equivalent Roundwood equivalent Roundwood equivalent m3 per MT m3 per MT Roundwood equivalent m3 per MT m3 per m2 Roundwood
equivalent
Europe NA** EECCA** Europe NA** EECCA**
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3 ub
1.1 WOOD FUEL, INCLUDING WOOD FOR CHARCOAL 1000 m3 ub 1.38
1.1.C Coniferous 1000 m3 ub 1.64 typical shipping weight Green = 1.12 Based on 891 kg/m3 green, basic density of .41, and 20% moisture seasoned 1.60
1000 m3 ub Seasoned = 1.82 Based on 407 kg/m3 dry, assuming 20% moisture
1.1.NC Non-Coniferous 1000 m3 ub 1.11 typical shipping weight Green=1.05 Based on 1137 kg/m3 green, specific gravity of .55, and 20% moisture seasoned 1.33
1000 m3 ub Seasoned=1.43
1.2 INDUSTRIAL ROUNDWOOD 1000 m3 ub
1.2.C Coniferous 1000 m3 ub 1.11 1.08 1.27 Averaged pulp and log 1.10 Based on 50/50 ratio of share of logs/pulpwood in industrial roundwood
1.2.C.Fir Fir (and Spruce) 1000 m3 ub 1.21 Austrian Energy Agency, 2009. weighted by share of standing inventory of European speices (57% spruce, 10% silver fir and remaining species)
1.2.C.Pine Pine 1000 m3 ub 1.08 Austrian Energy Agency, 2009, weighted 25% Scots Pine, 2% maritime pine, 2% black pine and remaining species
1.2.NC Non-Coniferous 1000 m3 ub 0.98 1.02 1.15 0.91 Based on 50/50 ratio of share of logs/pulpwood in industrial roundwood
1.2.NC.T of which:Tropical 1000 m3 ub AFRICA=1.31, ASIA=0.956, LA. AM= 0.847, World=1.12 Source: Fonseca "Measurement of Roundwood" 2005, ITTO Annual Review 2007, table 3-2-a Species weight averaged using m3/tonne from Fonseca 2005 and volume exported by species from each region as shown in ITTO 2007 (assumes that bark is removed) 1.37
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3 ub 1.04 0.96 1.12 Averaged C & NC 1.05 Based on 950 kg/m3 green. Bark is included in weight but not in volume.
1.2.1.C Coniferous 1000 m3 ub 1.10 1.00 1.19 1.07 Based on 935 kg/m3 green. Bark is included in weight but not in volume. 1.43
1.2.1.NC Non-Coniferous 1000 m3 ub 0.97 0.92 1.04 0.91 Based on 1093 kg/m3 green. Bark is included in weight but not in volume. 1.25
1.2.NC.Beech Beech 1000 m3 ub 0.92 Austrian Energy Agency, 2009
1.2.NC.Birch Birch 1000 m3 ub 0.88 Austrian Energy Agency, 2009
1.2.NC.Eucalyptus Eucalyptus 1000 m3 ub 0.77 ATIBT, 1982
1.2.NC.Oak Oak 1000 m3 ub 0.88 Austrian Energy Agency, 2009
1.2.NC.Poplar Poplar 1000 m3 ub 1.06 Austrian Energy Agency, 2009
1.2.2 PULPWOOD (ROUND & SPLIT) 1000 m3 ub 1.05 1.14 1.30 Averaged C & NC 1.08 Based on 930 kg/m3 green. Bark is included in weight but not in volume. 1.48
1.2.2.C Coniferous 1000 m3 ub 1.11 1.16 1.35 1.12 Based on 891 kg/m3 green. Bark is included in weight but not in volume. 1.54
1.2.2.NC Non-Coniferous 1000 m3 ub 0.98 1.11 1.25 0.91 Based on 1095 kg/m3 green. Bark is included in weight but not in volume. 1.33
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3 ub 1.07 1.33
1.2.3.C Coniferous 1000 m3 ub 1.11 1.16 1.35 used pulpwood data 1.12 same as 1.2.2.C 1.43
1.2.3.NC Non-Coniferous 1000 m3 ub 0.98 1.11 1.25 0.91 same as 1.2.2.NC 1.25
2 WOOD CHARCOAL 1000 MT 6 m3rw/tonne 5.35 Does not include the use of any of the wood fiber to generate the heat to make (add about 30% if inputted wood fiber used to provide heat) 6.00
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 1.205 1.07 1.21 1.08 m3 /MT = green swe per odmt / avg delivered tonne/odmt, rwe= +1% softwood=1.19 1.205 Based on swe/odmt of 2.41 and avg delivered mt / odmt of 2.0 in solid m3 1.60
1000 m3 hardwood = 1.05 1.123 Based on swe/odmt of 2.01 and avg delivered mt / odmt of 1.79 in solid m3
1000 m3 Woodchip, Green swe to oven-dry tonne m3/odmt mix = 1.15
3.2 WOOD RESIDUES 1000 m3 1.205 1.07 1.21 1.08 Based on wood chips Green=1.15 Based on wood chips 1.50
1000 m3 2.12 2.07 Seasoned = 2.12 2.07 Assumption for seasoned is based on average basic density of .42 from questionnaire and assumes 15% moisture content
3.2.1 of which: SAWDUST 1000 m3 1.205 1.07 1.21 1.08 Based on wood chips
4 RECOVERED POST-CONSUMER WOOD 1000 mt Delivered MT (12-20% atmospheric moisture). Convert to dry weight for energy purposes (multiply by 0.88 - 0.80)
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 MT
5.1 WOOD PELLETS 1000 MT 1.54 1.45 1.54 1.51 1.44 nodata m3/ton - bulk density, loose volume, 5-10% mcw- Equivalent - solid wood imput to bulk m3 pellets 1.51 1.44 Bulk (loose) volume, 5-10% moisture
5.2 OTHER AGGLOMERATES 1000 MT 1.12 nodata nodata 2.32 nodata nodata m3/ton - Pressed logs and briquettes, bulk density, loose volume. Equivalent - m3rw/odmt 1.31 2.29 roundwood equivalent is m3rw/odmt, volume to weight is bulk (loose volume)
6 SAWNWOOD 1000 m3 1.6 / 1.82*
6.C Coniferous 1000 m3 1.202 1.69 1.62 1.85 m3/ton - Average Sawnwood shipping weight. Equivalent - Sawnwood green rough Green=1.202 RoughGreen=1.67 Green sawnwood based on basic density of .94, less bark (11%) 1.82
1000 m3 1.82 1.72 Nodata 2 1.69 2.05 Sawnwood dry rough Dry = 1.99 RoughDry=1.99 Dry sawnwood weight based on basic density of .42, 4% shrinkage and 15% moisture content
1000 m3 2.26 2.08 nodata Sawnwood dry planed PlanedDry=2.13
6.C.Fir Fir and Spruce 1000 m3 2.16 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight). Weighted ratio of standing inventory.
6.C.Pine Pine 1000 m3 1.72 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight). Weighted ratio of standing inventory.
6.NC Non-Coniferous 1000 m3 1.04 1.89 1.79 nodata Sawnwood green rough Green=1.04 RoughGreen=1.86 Green sawnwood based on basic density of 1.09, less bark (12%) 1.43
1000 m3 1.43 nodata nodata 2.01 1.92 nodata m3/ton - Average Sawnwood shipping weight. Equivalent - Sawnwood green rough Seasoned=1.50 RoughDry=2.01 Dry sawnwood weight based on basic density of .55, 5% shrinkage and 15% moisture content
1000 m3 3.25 3.38 nodata Sawnwood dry planed PlanedDry=2.81
6.NC.Ash Ash 1000 m3 1.47 Wood Database (wood-database.com). Air-dry.
6.NC.Beech Beech 1000 m3 1.42 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight).
6.NC.Birch Birch 1000 m3 1.47 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight).
6.NC.Cherry Cherry 1000 m3 1.62 Giordano, 1976, Tecnologia del legno. Air-dry. Prunus avium.
6.NC.Maple Maple 1000 m3 1.35 Giordano, 1976, Tecnologia del legno. Air-dry
6.NC.Oak Oak 1000 m3 1.38 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight).
6.NC.Poplar Poplar 1000 m3 2.29 Austrian Energy Agency, 2009. Dried weight (15% moisture content dry weight).
6.NC.T of which:Tropical 1000 m3 1.38 Based on FP Conversion Factors (2019), Asia (720 kg / m3)
7 VENEER SHEETS 1000 m3 1.33 0.0025 1.9*
7.C Coniferous 1000 m3 1.05 1.95 1.5 Green veneer based on the ratio from the old conversion factors Green=1.20 1.5*** Green veneer based on basic density of .94, less bark (11%) 0.003
1000 m3 1.8 nodata nodata 2.08 1.6 nodata m3/ton - Average panel shipping weight; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product Seasoned=2.06 1.6*** Dry veneer weight based on basic density of .42, 9% shrinkage and 5% moisture content
7.NC Non-Coniferous 1000 m3 1.15 nodata nodata 2.11 1.89 Green veneer based on the ratio from the old conversion factors Green=1.04 1.5*** Green veneer based on basic density of 1.09, less bark (11%) 0.001
1000 m3 1.7 nodata nodata 2.25 2 nodata m3/ton - Average panel shipping weight; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product Seasoned=1.53 1.6*** Dry veneer weight based on basic density of .55, 11.5% shrinkage and 5% moisture content
7.NC.T of which:Tropical 1000 m3
8 WOOD-BASED PANELS 1000 m3 1.6
8.1 PLYWOOD 1000 m3 1.54 0.105 2.3*
8,1.C Coniferous 1000 m3 1.67 Nodata Nodata 2.16 1.92 nodata 1.69 2.12 dried, sanded, peeled 0.0165***
8.1.NC Non-Coniferous 1000 m3 1.54 Nodata Nodata 2.54 2.14 nodata 1.54 1.92 dried, sanded, sliced 0.0215***
8.1.NC.T of which:Tropical 1000 m3
8.1.1 of which: LAMINATED VENEER LUMBER 1000 m3 1.69 Same as coniferous plywood
8.1.1.C Coniferous 1000 m3 1.69 Same as coniferous plywood
8.1.1.NC Non-Coniferous 1000 m3 no data
8.1.1.NC.T of which:Tropical 1000 m3 no data
8.2 PARTICLE BOARD (including OSB) 1000 m3 1.54
8.2x PARTICLE BOARD (excluding OSB) 1000 m3 1.54 Nodata Nodata 1.51 1.54 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 1.53 1.50 0.018***
8.2.1 of which: OSB 1000 m3 1.64 Nodata Nodata 1.72 1.63 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 1.67 1.63 0.018***
8.3 FIBREBOARD 1000 m3 nodata nodata nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product.
8.3.1 HARDBOARD 1000 m3 1.06 Nodata Nodata 2.2 1.77 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 1.06 1.93 solid wood per m3 of product 1.05 0.005
Alex McCusker: Alex McCusker: 0.003 per Conversion Factors Study
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 1.35 Nodata Nodata 1.80 1.53 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 1.37 1.70 solid wood per m3 of product 2.00 0.016
8.3.3 OTHER FIBREBOARD 1000 m3 3.85 Nodata Nodata 0.68 0.71 nodata m3/ton - Based on Product based density; Roundwood equivalent - m3rw = cubic metre roundwood, m3p = cubic metre product. 3.44 0.71 solid wood per m3 of product, mostly insulating board 4.00 0.025
9 WOOD PULP 1000 MT 3.7 nodata 3.76 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.86 3.37
9.1 MECHANICAL AND SEMI-CHEMICAL 1000 MT 2.59 2.45 2.94 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 2.60 air-dried metric ton (mechanical 2.50, semi-chemical 2.70)
9..2 CHEMICAL 1000 MT 4.80 4.29 4.10 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.90
9.2.1 SULPHATE 1000 MT 4.50 nodata 4.60 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.57 air-dried metric ton (unbleached 4.63, bleached 4.50)
9.2.1.1 of which: bleached 1000 MT 4.50 nodata 4.90 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.50 air-dried metric ton
9.2.2 SULPHITE 1000 MT 4.73 nodata 4.15 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.83 air-dried metric ton (unbleached 4.64 and bleached 5.01)
9.3 DISSOLVING GRADES 1000 MT 4.46 nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 5.65 air-dried metric ton
10 OTHER PULP 1000 MT nodata nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis)
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 MT nodata nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis)
10.2 RECOVERED FIBRE PULP 1000 MT nodata nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis)
11 RECOVERED PAPER 1000 MT nodata nodata nodata m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 1.28 MT in per MT out
12 PAPER AND PAPERBOARD 1000 MT 3.85 nodata 4.15 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.6 3.37
12.1 GRAPHIC PAPERS 1000 MT nodata nodata nodata
12.1.1 NEWSPRINT 1000 MT 2.80 2.50 3.15 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 2.80 air-dried metric ton
12.1.2 UNCOATED MECHANICAL 1000 MT 3.50 nodata 4.00 3.50 air-dried metric ton
12.1.3 UNCOATED WOODFREE 1000 MT nodata nodata nodata
12.1.4 COATED PAPERS 1000 MT 3.50 nodata 4.00 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.95 air-dried metric ton
12.2 SANITARY AND HOUSEHOLD PAPERS 1000 MT 4.60 nodata 4.20 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.90 air-dried metric ton
12.3 PACKAGING MATERIALS 1000 MT 3.25 nodata 4.30 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.25 air-dried metric ton
12.3.1 CASE MATERIALS 1000 MT 4.20 nodata 4.00 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.20 air-dried metric ton
12.3.2 CARTONBOARD 1000 MT 4.00 nodata 4.30 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.00 air-dried metric ton
12.3.3 WRAPPING PAPERS 1000 MT 4.10 nodata 4.40 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.10 air-dried metric ton
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 MT 4.00 nodata 3.30 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 4.00 air-dried metric ton
12.4 OTHER PAPER AND PAPERBOARD N.E.S 1000 MT 3.48 nodata 3.30 m3sw/MT, where m3sw = cubic metre solid wood, and MT = tonne (in this case assumed air-dry – 10% moisture, wet basis) 3.48 air-dried metric ton
15 GLULAM AND CROSS-LAMINATED TIMBER 1000 m3
15.1 GLULAM 1000 m3 1.69 same as coniferous plywood
15.2 CROSS-LAMINATED TIMBER 1000 m3 2.00
16 I-BEAMS 1000 MT 1.68 222 linear meters per MT
For inverse relationships divide 1 by the factor given, e.g. to convert m3 of wood charcoal to mt divide 1 by m3/mt factor of 6 = 0.167
Notes: Forest Measures
MT = metric tonnes (1000 kg) Unit m3/unit
m3 = cubic meters (solid volume) 1000 board feet (sawlogs) 4.53**** **** = obsolete - more recent figures would be:
m2 = square meters 1000 board feet (sawnwood - nominal) 2.36 for Oregon, Washington State, Alaska (west of Cascades), South East United States (Doyle region): 6.3
(s) = solid volume 1000 board feet (sawnwood - actual) 1.69 Inland Western North America, Great Lakes (North America), Eastern Canada: 5.7
1000 square feet (1/8 inch thickness) 0.295 Northeast United States Int 1/4": 5
Unit Conversion cord 3.625
1 inch = 25.4 millimetres cord (pulpwood) 2.55
1 square foot = 0.0929 square metre cord (wood fuel) 2.12
1 pound = 0.454 kilograms cubic foot 0.02832
1 short ton (2000 pounds) = 0.9072 metric ton cubic foot (stacked) 0.01841
1 long ton (2240 pounds) = 1.016 metric ton cunit 2.83
Bold = FAO published figure fathom 6.1164
hoppus cubic foot 0.0222
* = ITTO hoppus super(ficial) foot 0.00185
hoppus ton (50 hoppus cubic feet) 1.11
** NA = North America; EECCA = Eastern Europe, Caucasus and Central Asia Petrograd Standard 4.672
stere 1
*** = Conversion Factor Study, US figures, rotary for conifer and sliced for non-conifer stere (pulpwood) 0.72
stere (wood fuel) 0.65
Fonseca "Measurement of Roundwood" 2005. Estimated by Matt Fonseca based on regional knowledge of the scaling methods and timber types
prepared February 2004
updated 2007 with RWE factors
updated 2009 with provisional results of forest products conversion factors study
updated 2011 with results of forest products conversion factors study (DP49)
updated 2023 with results of 2019 UNECE/FAO/ITTO study - https://www.fao.org/documents/card/en/c/ca7952en

Flatfile

geo stk_flow time prod_wd treespec unit obs_value obs_flag
NO PRD 2021 RW_OB TOTAL THS_M3 13157.1522522727
NO PRD 2021 RW_FW_OB TOTAL THS_M3 1705.2692522727 9
NO PRD 2021 RW_FW_OB CONIF THS_M3 613.5360272727 9
NO PRD 2021 RW_FW_OB NCONIF THS_M3 1091.733225 9
NO PRD 2021 RW_IN_OB TOTAL THS_M3 11451.883
NO PRD 2021 RW_IN_OB CONIF THS_M3 11153.277
NO PRD 2021 RW_IN_OB NCONIF THS_M3 298.606
NO PRD 2021 RW_IN_OB NC_TRO THS_M3 0
NO PRD 2021 RW_IN_LG_OB TOTAL THS_M3 6784.369
NO PRD 2021 RW_IN_LG_OB CONIF THS_M3 6782.832
NO PRD 2021 RW_IN_LG_OB NCONIF THS_M3 1.537
NO PRD 2021 RW_IN_PW_OB TOTAL THS_M3 4581.652
NO PRD 2021 RW_IN_PW_OB CONIF THS_M3 4284.583
NO PRD 2021 RW_IN_PW_OB NCONIF THS_M3 297.069
NO PRD 2021 RW_IN_O_OB TOTAL THS_M3 85.862
NO PRD 2021 RW_IN_O_OB CONIF THS_M3 85.862
NO PRD 2021 RW_IN_O_OB NCONIF THS_M3 0
NO PRD 2022 RW_OB TOTAL THS_M3 14486.6614074091
NO PRD 2022 RW_FW_OB TOTAL THS_M3 1807.5854074091 9
NO PRD 2022 RW_FW_OB CONIF THS_M3 650.3481889091 9
NO PRD 2022 RW_FW_OB NCONIF THS_M3 1157.2372185 9
NO PRD 2022 RW_IN_OB TOTAL THS_M3 12679.076
NO PRD 2022 RW_IN_OB CONIF THS_M3 12434.1789
NO PRD 2022 RW_IN_OB NCONIF THS_M3 244.8971
NO PRD 2022 RW_IN_OB NC_TRO THS_M3 0
NO PRD 2022 RW_IN_LG_OB TOTAL THS_M3 7466.36345
NO PRD 2022 RW_IN_LG_OB CONIF THS_M3 7464.0071
NO PRD 2022 RW_IN_LG_OB NCONIF THS_M3 2.35635
NO PRD 2022 RW_IN_PW_OB TOTAL THS_M3 5160.43835
NO PRD 2022 RW_IN_PW_OB CONIF THS_M3 4917.8976
NO PRD 2022 RW_IN_PW_OB NCONIF THS_M3 242.54075
NO PRD 2022 RW_IN_O_OB TOTAL THS_M3 52.2742
NO PRD 2022 RW_IN_O_OB CONIF THS_M3 52.2742
NO PRD 2022 RW_IN_O_OB NCONIF THS_M3 0
NO PRD 2021 RW TOTAL THS_M3
NO PRD 2021 RW_FW TOTAL THS_M3 9
NO PRD 2021 RW_FW CONIF THS_M3 9
NO PRD 2021 RW_FW NCONIF THS_M3 9
NO PRD 2021 RW_IN TOTAL THS_M3
NO PRD 2021 RW_IN CONIF THS_M3
NO PRD 2021 RW_IN NCONIF THS_M3
NO PRD 2021 RW_IN NC_TRO THS_M3
NO PRD 2021 RW_IN_LG TOTAL THS_M3
NO PRD 2021 RW_IN_LG CONIF THS_M3
NO PRD 2021 RW_IN_LG NCONIF THS_M3
NO PRD 2021 RW_IN_PW TOTAL THS_M3
NO PRD 2021 RW_IN_PW CONIF THS_M3
NO PRD 2021 RW_IN_PW NCONIF THS_M3
NO PRD 2021 RW_IN_O TOTAL THS_M3
NO PRD 2021 RW_IN_O CONIF THS_M3
NO PRD 2021 RW_IN_O NCONIF THS_M3
NO PRD 2021 CHA TOTAL THS_T
NO PRD 2021 CHP_RES TOTAL THS_M3 2713.7476 9
NO PRD 2021 CHP TOTAL THS_M3 1763.93594 9
NO PRD 2021 RES TOTAL THS_M3 949.81166 9
NO PRD 2021 RES_SWD TOTAL THS_M3 818
NO PRD 2021 RCW TOTAL THS_T 188.4
NO PRD 2021 PEL_AGG TOTAL THS_T 150
NO PRD 2021 PEL TOTAL THS_T 38.4
NO PRD 2021 AGG TOTAL THS_T 2808.777
NO PRD 2021 SN TOTAL THS_M3 2808.777
NO PRD 2021 SN CONIF THS_M3 0
NO PRD 2021 SN NCONIF THS_M3 0
NO PRD 2021 SN NC_TRO THS_M3
NO PRD 2021 PN_VN TOTAL THS_M3
NO PRD 2021 PN_VN CONIF THS_M3
NO PRD 2021 PN_VN NCONIF THS_M3
NO PRD 2021 PN_VN NC_TRO THS_M3
NO PRD 2021 PN TOTAL THS_M3 498.947
NO PRD 2021 PN_PY TOTAL THS_M3
NO PRD 2021 PN_PY CONIF THS_M3
NO PRD 2021 PN_PY NCONIF THS_M3
NO PRD 2021 PN_PY NC_TRO THS_M3
NO PRD 2021 PN_PY_LVL TOTAL THS_M3
NO PRD 2021 PN_PY_LVL CONIF THS_M3
NO PRD 2021 PN_PY_LVL NCONIF THS_M3
NO PRD 2021 PN_PY_LVL NC_TRO THS_M3
NO PRD 2021 PN_PB TOTAL THS_M3 317.947
NO PRD 2021 PN_PB_OSB TOTAL THS_M3 0
NO PRD 2021 PN_FB TOTAL THS_M3 181
NO PRD 2021 PN_FB_HB TOTAL THS_M3 57
NO PRD 2021 PN_FB_MDF TOTAL THS_M3 0
NO PRD 2021 PN_FB_O TOTAL THS_M3 124
NO PRD 2021 PL TOTAL THS_T 1054
NO PRD 2021 PL_MC_SCH TOTAL THS_T 902
NO PRD 2021 PL_CH TOTAL THS_T 152
NO PRD 2021 PL_CH_SA TOTAL THS_T 0
NO PRD 2021 PL_CH_SAB TOTAL THS_T 0
NO PRD 2021 PL_CH_SI TOTAL THS_T 152
NO PRD 2021 PL_DS TOTAL THS_T 0
NO PRD 2021 PLO TOTAL THS_T 0
NO PRD 2021 PLO_NW TOTAL THS_T 0
NO PRD 2021 PLO_RC TOTAL THS_T 0
NO PRD 2021 RCP TOTAL THS_T
NO PRD 2021 PP TOTAL THS_T 1010
NO PRD 2021 PP_GR TOTAL THS_T 838
NO PRD 2021 PP_GR_NP TOTAL THS_T 471
NO PRD 2021 PP_GR_MC TOTAL THS_T 367
NO PRD 2021 PP_GR_NW TOTAL THS_T 0
NO PRD 2021 PP_GR_CO TOTAL THS_T 0
NO PRD 2021 PP_HS TOTAL THS_T 22
NO PRD 2021 PP_PK TOTAL THS_T 150
NO PRD 2021 PP_PK_CS TOTAL THS_T 18
NO PRD 2021 PP_PK_CB TOTAL THS_T 0
NO PRD 2021 PP_PK_WR TOTAL THS_T 42
NO PRD 2021 PP_PK_O TOTAL THS_T 90
NO PRD 2021 PP_O TOTAL THS_T 0
NO PRD 2021 GLT_CLT TOTAL THS_M3 44.895
NO PRD 2021 GLT TOTAL THS_M3 44.895
NO PRD 2021 CLT TOTAL THS_M3
NO PRD 2021 I_BEAMS TOTAL THS_T
NO PRD 2022 RW TOTAL THS_M3 13222.0222522727
NO PRD 2022 RW_FW TOTAL THS_M3 1705.2692522727 9
NO PRD 2022 RW_FW CONIF THS_M3 613.5360272727 9
NO PRD 2022 RW_FW NCONIF THS_M3 1091.733225 9
NO PRD 2022 RW_IN TOTAL THS_M3 11516.753
NO PRD 2022 RW_IN CONIF THS_M3 11303.799
NO PRD 2022 RW_IN NCONIF THS_M3 212.954
NO PRD 2022 RW_IN NC_TRO THS_M3 0
NO PRD 2022 RW_IN_LG TOTAL THS_M3 6787.51
NO PRD 2022 RW_IN_LG CONIF THS_M3 6785.461
NO PRD 2022 RW_IN_LG NCONIF THS_M3 2.049
NO PRD 2022 RW_IN_PW TOTAL THS_M3 4681.721
NO PRD 2022 RW_IN_PW CONIF THS_M3 4470.816
NO PRD 2022 RW_IN_PW NCONIF THS_M3 210.905
NO PRD 2022 RW_IN_O TOTAL THS_M3 47.522
NO PRD 2022 RW_IN_O CONIF THS_M3 47.522
NO PRD 2022 RW_IN_O NCONIF THS_M3 0
NO PRD 2022 CHA TOTAL THS_T
NO PRD 2022 CHP_RES TOTAL THS_M3 2715.004 9
NO PRD 2022 CHP TOTAL THS_M3 1764.7526 9
NO PRD 2022 RES TOTAL THS_M3 950.2514 9
NO PRD 2022 RES_SWD TOTAL THS_M3
NO PRD 2022 RCW TOTAL THS_T 801
NO PRD 2022 PEL_AGG TOTAL THS_T 188.4
NO PRD 2022 PEL TOTAL THS_T 150
NO PRD 2022 AGG TOTAL THS_T 38.4
NO PRD 2022 SN TOTAL THS_M3 2704.617
NO PRD 2022 SN CONIF THS_M3 2704.617
NO PRD 2022 SN NCONIF THS_M3 0
NO PRD 2022 SN NC_TRO THS_M3 0
NO PRD 2022 PN_VN TOTAL THS_M3
NO PRD 2022 PN_VN CONIF THS_M3
NO PRD 2022 PN_VN NCONIF THS_M3
NO PRD 2022 PN_VN NC_TRO THS_M3
NO PRD 2022 PN TOTAL THS_M3 453.753
NO PRD 2022 PN_PY TOTAL THS_M3
NO PRD 2022 PN_PY CONIF THS_M3
NO PRD 2022 PN_PY NCONIF THS_M3
NO PRD 2022 PN_PY NC_TRO THS_M3
NO PRD 2022 PN_PY_LVL TOTAL THS_M3
NO PRD 2022 PN_PY_LVL CONIF THS_M3
NO PRD 2022 PN_PY_LVL NCONIF THS_M3
NO PRD 2022 PN_PY_LVL NC_TRO THS_M3
NO PRD 2022 PN_PB TOTAL THS_M3 284.753
NO PRD 2022 PN_PB_OSB TOTAL THS_M3 0
NO PRD 2022 PN_FB TOTAL THS_M3 169
NO PRD 2022 PN_FB_HB TOTAL THS_M3 51
NO PRD 2022 PN_FB_MDF TOTAL THS_M3 0
NO PRD 2022 PN_FB_O TOTAL THS_M3 118
NO PRD 2022 PL TOTAL THS_T 1098
NO PRD 2022 PL_MC_SCH TOTAL THS_T 943
NO PRD 2022 PL_CH TOTAL THS_T 155
NO PRD 2022 PL_CH_SA TOTAL THS_T 0
NO PRD 2022 PL_CH_SAB TOTAL THS_T 0
NO PRD 2022 PL_CH_SI TOTAL THS_T 155
NO PRD 2022 PL_DS TOTAL THS_T 0
NO PRD 2022 PLO TOTAL THS_T 0
NO PRD 2022 PLO_NW TOTAL THS_T 0
NO PRD 2022 PLO_RC TOTAL THS_T 0
NO PRD 2022 RCP TOTAL THS_T
NO PRD 2022 PP TOTAL THS_T 1036
NO PRD 2022 PP_GR TOTAL THS_T 864
NO PRD 2022 PP_GR_NP TOTAL THS_T 505
NO PRD 2022 PP_GR_MC TOTAL THS_T 359
NO PRD 2022 PP_GR_NW TOTAL THS_T 0
NO PRD 2022 PP_GR_CO TOTAL THS_T 0
NO PRD 2022 PP_HS TOTAL THS_T 23
NO PRD 2022 PP_PK TOTAL THS_T 149
NO PRD 2022 PP_PK_CS TOTAL THS_T 14
NO PRD 2022 PP_PK_CB TOTAL THS_T 0
NO PRD 2022 PP_PK_WR TOTAL THS_T 40
NO PRD 2022 PP_PK_O TOTAL THS_T 95
NO PRD 2022 PP_O TOTAL THS_T 0
NO PRD 2022 GLT_CLT TOTAL THS_M3 42.38
NO PRD 2022 GLT TOTAL THS_M3 42.38
NO PRD 2022 CLT TOTAL THS_M3
NO PRD 2022 I_BEAMS TOTAL THS_T
NO IMP 2021 RW TOTAL THS_M3 556.781
NO IMP 2021 RW_FW TOTAL THS_M3 207.413
NO IMP 2021 RW_FW CONIF THS_M3 7.548
NO IMP 2021 RW_FW NCONIF THS_M3 199.865
NO IMP 2021 RW_IN TOTAL THS_M3 349.368
NO IMP 2021 RW_IN CONIF THS_M3 349.089
NO IMP 2021 RW_IN NCONIF THS_M3 0.279
NO IMP 2021 RW_IN NC_TRO THS_M3 0.031
NO IMP 2021 CHA TOTAL THS_T 38.92
NO IMP 2021 CHP_RES TOTAL THS_M3 611.845
NO IMP 2021 CHP TOTAL THS_M3 244.454
NO IMP 2021 RES TOTAL THS_M3 367.391
NO IMP 2021 RES_SWD TOTAL THS_M3
NO IMP 2021 RCW TOTAL THS_T
NO IMP 2021 PEL_AGG TOTAL THS_T 130.294
NO IMP 2021 PEL TOTAL THS_T 88.124
NO IMP 2021 AGG TOTAL THS_T 42.17
NO IMP 2021 SN TOTAL THS_M3 1107.992
NO IMP 2021 SN CONIF THS_M3 1080.835
NO IMP 2021 SN NCONIF THS_M3 27.157
NO IMP 2021 SN NC_TRO THS_M3 2.117
NO IMP 2021 PN_VN TOTAL THS_M3 6.011
NO IMP 2021 PN_VN CONIF THS_M3 0.208
NO IMP 2021 PN_VN NCONIF THS_M3 5.803
NO IMP 2021 PN_VN NC_TRO THS_M3 0.041
NO IMP 2021 PN TOTAL THS_M3 360.729
NO IMP 2021 PN_PY TOTAL THS_M3 161.26
NO IMP 2021 PN_PY CONIF THS_M3 82.687
NO IMP 2021 PN_PY NCONIF THS_M3 78.573
NO IMP 2021 PN_PY NC_TRO THS_M3 5.825
NO IMP 2021 PN_PY_LVL TOTAL THS_M3
NO IMP 2021 PN_PY_LVL CONIF THS_M3
NO IMP 2021 PN_PY_LVL NCONIF THS_M3
NO IMP 2021 PN_PY_LVL NC_TRO THS_M3
NO IMP 2021 PN_PB TOTAL THS_M3 70.446
NO IMP 2021 PN_PB_OSB TOTAL THS_M3 48.526
NO IMP 2021 PN_FB TOTAL THS_M3 129.023
NO IMP 2021 PN_FB_HB TOTAL THS_M3 13.841
NO IMP 2021 PN_FB_MDF TOTAL THS_M3 110.529
NO IMP 2021 PN_FB_O TOTAL THS_M3 4.652
NO IMP 2021 PL TOTAL THS_T 70.658
NO IMP 2021 PL_MC_SCH TOTAL THS_T 0.267
NO IMP 2021 PL_CH TOTAL THS_T 70.183
NO IMP 2021 PL_CH_SA TOTAL THS_T 66.727
NO IMP 2021 PL_CH_SAB TOTAL THS_T 65.338
NO IMP 2021 PL_CH_SI TOTAL THS_T 3.456
NO IMP 2021 PL_DS TOTAL THS_T 0.207
NO IMP 2021 PLO TOTAL THS_T 2.33
NO IMP 2021 PLO_NW TOTAL THS_T 0.349
NO IMP 2021 PLO_RC TOTAL THS_T 1.981
NO IMP 2021 RCP TOTAL THS_T 56.337
NO IMP 2021 PP TOTAL THS_T 298.403
NO IMP 2021 PP_GR TOTAL THS_T 108.182
NO IMP 2021 PP_GR_NP TOTAL THS_T 22.316
NO IMP 2021 PP_GR_MC TOTAL THS_T 2.958
NO IMP 2021 PP_GR_NW TOTAL THS_T 53.519
NO IMP 2021 PP_GR_CO TOTAL THS_T 29.389
NO IMP 2021 PP_HS TOTAL THS_T 5.937
NO IMP 2021 PP_PK TOTAL THS_T 182.131
NO IMP 2021 PP_PK_CS TOTAL THS_T 123.479
NO IMP 2021 PP_PK_CB TOTAL THS_T 40.993
NO IMP 2021 PP_PK_WR TOTAL THS_T 15.891
NO IMP 2021 PP_PK_O TOTAL THS_T 1.767
NO IMP 2021 PP_O TOTAL THS_T 2.153
NO IMP 2021 GLT_CLT TOTAL THS_M3
NO IMP 2021 GLT TOTAL THS_M3
NO IMP 2021 CLT TOTAL THS_M3
NO IMP 2021 I_BEAMS TOTAL THS_T
NO IMP 2021 RW TOTAL THS_NAC 499562
NO IMP 2021 RW_FW TOTAL THS_NAC 235556
NO IMP 2021 RW_FW CONIF THS_NAC 11059
NO IMP 2021 RW_FW NCONIF THS_NAC 224497
NO IMP 2021 RW_IN TOTAL THS_NAC 264006
NO IMP 2021 RW_IN CONIF THS_NAC 262026
NO IMP 2021 RW_IN NCONIF THS_NAC 1980
NO IMP 2021 RW_IN NC_TRO THS_NAC 442
NO IMP 2021 CHA TOTAL THS_NAC 258262
NO IMP 2021 CHP_RES TOTAL THS_NAC 301767
NO IMP 2021 CHP TOTAL THS_NAC 137663
NO IMP 2021 RES TOTAL THS_NAC 164104
NO IMP 2021 RES_SWD TOTAL THS_NAC
NO IMP 2021 RCW TOTAL THS_NAC
NO IMP 2021 PEL_AGG TOTAL THS_NAC 131730
NO IMP 2021 PEL TOTAL THS_NAC 96344
NO IMP 2021 AGG TOTAL THS_NAC 35386
NO IMP 2021 SN TOTAL THS_NAC 5342784
NO IMP 2021 SN CONIF THS_NAC 4963124
NO IMP 2021 SN NCONIF THS_NAC 379660
NO IMP 2021 SN NC_TRO THS_NAC 59152
NO IMP 2021 PN_VN TOTAL THS_NAC 71027
NO IMP 2021 PN_VN CONIF THS_NAC 2452
NO IMP 2021 PN_VN NCONIF THS_NAC 68574
NO IMP 2021 PN_VN NC_TRO THS_NAC 579
NO IMP 2021 PN TOTAL THS_NAC 2908493
NO IMP 2021 PN_PY TOTAL THS_NAC 1104942
NO IMP 2021 PN_PY CONIF THS_NAC 517109
NO IMP 2021 PN_PY NCONIF THS_NAC 587833
NO IMP 2021 PN_PY NC_TRO THS_NAC 35824
NO IMP 2021 PN_PY_LVL TOTAL THS_NAC
NO IMP 2021 PN_PY_LVL CONIF THS_NAC
NO IMP 2021 PN_PY_LVL NCONIF THS_NAC
NO IMP 2021 PN_PY_LVL NC_TRO THS_NAC
NO IMP 2021 PN_PB TOTAL THS_NAC 580166
NO IMP 2021 PN_PB_OSB TOTAL THS_NAC 391758
NO IMP 2021 PN_FB TOTAL THS_NAC 1223385
NO IMP 2021 PN_FB_HB TOTAL THS_NAC 147521
NO IMP 2021 PN_FB_MDF TOTAL THS_NAC 1038506
NO IMP 2021 PN_FB_O TOTAL THS_NAC 37358
NO IMP 2021 PL TOTAL THS_NAC 442989
NO IMP 2021 PL_MC_SCH TOTAL THS_NAC 1711
NO IMP 2021 PL_CH TOTAL THS_NAC 439643
NO IMP 2021 PL_CH_SA TOTAL THS_NAC 405289
NO IMP 2021 PL_CH_SAB TOTAL THS_NAC 397806
NO IMP 2021 PL_CH_SI TOTAL THS_NAC 34354
NO IMP 2021 PL_DS TOTAL THS_NAC 1634
NO IMP 2021 PLO TOTAL THS_NAC 19467
NO IMP 2021 PLO_NW TOTAL THS_NAC 6395
NO IMP 2021 PLO_RC TOTAL THS_NAC 13072
NO IMP 2021 RCP TOTAL THS_NAC 88001
NO IMP 2021 PP TOTAL THS_NAC 2690479
NO IMP 2021 PP_GR TOTAL THS_NAC 757708
NO IMP 2021 PP_GR_NP TOTAL THS_NAC 103799
NO IMP 2021 PP_GR_MC TOTAL THS_NAC 25312
NO IMP 2021 PP_GR_NW TOTAL THS_NAC 343339
NO IMP 2021 PP_GR_CO TOTAL THS_NAC 285258
NO IMP 2021 PP_HS TOTAL THS_NAC 94185
NO IMP 2021 PP_PK TOTAL THS_NAC 1772747
NO IMP 2021 PP_PK_CS TOTAL THS_NAC 818002
NO IMP 2021 PP_PK_CB TOTAL THS_NAC 620126
NO IMP 2021 PP_PK_WR TOTAL THS_NAC 317263
NO IMP 2021 PP_PK_O TOTAL THS_NAC 17355
NO IMP 2021 PP_O TOTAL THS_NAC 65839
NO IMP 2021 GLT_CLT TOTAL THS_NAC
NO IMP 2021 GLT TOTAL THS_NAC
NO IMP 2021 CLT TOTAL THS_NAC
NO IMP 2021 I_BEAMS TOTAL THS_NAC
NO IMP 2022 RW TOTAL THS_M3 654.976
NO IMP 2022 RW_FW TOTAL THS_M3 270.608
NO IMP 2022 RW_FW CONIF THS_M3 8.118
NO IMP 2022 RW_FW NCONIF THS_M3 262.49
NO IMP 2022 RW_IN TOTAL THS_M3 384.368
NO IMP 2022 RW_IN CONIF THS_M3 373.55
NO IMP 2022 RW_IN NCONIF THS_M3 10.818
NO IMP 2022 RW_IN NC_TRO THS_M3 0.158
NO IMP 2022 CHA TOTAL THS_T 52.472
NO IMP 2022 CHP_RES TOTAL THS_M3 561.824
NO IMP 2022 CHP TOTAL THS_M3 227.167
NO IMP 2022 RES TOTAL THS_M3 334.657
NO IMP 2022 RES_SWD TOTAL THS_M3 312.063
NO IMP 2022 RCW TOTAL THS_T 0
NO IMP 2022 PEL_AGG TOTAL THS_T 144.359
NO IMP 2022 PEL TOTAL THS_T 103.263
NO IMP 2022 AGG TOTAL THS_T 41.096
NO IMP 2022 SN TOTAL THS_M3 864.965
NO IMP 2022 SN CONIF THS_M3 835.058
NO IMP 2022 SN NCONIF THS_M3 29.705
NO IMP 2022 SN NC_TRO THS_M3 3.621
NO IMP 2022 PN_VN TOTAL THS_M3 11.282
NO IMP 2022 PN_VN CONIF THS_M3 1.603
NO IMP 2022 PN_VN NCONIF THS_M3 9.679
NO IMP 2022 PN_VN NC_TRO THS_M3 0.062
NO IMP 2022 PN TOTAL THS_M3 306.902
NO IMP 2022 PN_PY TOTAL THS_M3 149.196
NO IMP 2022 PN_PY CONIF THS_M3 62.391
NO IMP 2022 PN_PY NCONIF THS_M3 86.805
NO IMP 2022 PN_PY NC_TRO THS_M3 9.285
NO IMP 2022 PN_PY_LVL TOTAL THS_M3 5.617
NO IMP 2022 PN_PY_LVL CONIF THS_M3 5.156
NO IMP 2022 PN_PY_LVL NCONIF THS_M3 0.461
NO IMP 2022 PN_PY_LVL NC_TRO THS_M3 0
NO IMP 2022 PN_PB TOTAL THS_M3 58.94
NO IMP 2022 PN_PB_OSB TOTAL THS_M3 40.133
NO IMP 2022 PN_FB TOTAL THS_M3 98.766
NO IMP 2022 PN_FB_HB TOTAL THS_M3 21.423
NO IMP 2022 PN_FB_MDF TOTAL THS_M3 73.514
NO IMP 2022 PN_FB_O TOTAL THS_M3 3.828
NO IMP 2022 PL TOTAL THS_T 66.001
NO IMP 2022 PL_MC_SCH TOTAL THS_T 0.305
NO IMP 2022 PL_CH TOTAL THS_T 65.67
NO IMP 2022 PL_CH_SA TOTAL THS_T 65.533
NO IMP 2022 PL_CH_SAB TOTAL THS_T 65.51
NO IMP 2022 PL_CH_SI TOTAL THS_T 0.137
NO IMP 2022 PL_DS TOTAL THS_T 0.026
NO IMP 2022 PLO TOTAL THS_T 2.013
NO IMP 2022 PLO_NW TOTAL THS_T 0.376
NO IMP 2022 PLO_RC TOTAL THS_T 1.637
NO IMP 2022 RCP TOTAL THS_T 68.788
NO IMP 2022 PP TOTAL THS_T 267.796
NO IMP 2022 PP_GR TOTAL THS_T 82.684
NO IMP 2022 PP_GR_NP TOTAL THS_T 8.484
NO IMP 2022 PP_GR_MC TOTAL THS_T 3.128
NO IMP 2022 PP_GR_NW TOTAL THS_T 49.012
NO IMP 2022 PP_GR_CO TOTAL THS_T 22.06
NO IMP 2022 PP_HS TOTAL THS_T 3.423
NO IMP 2022 PP_PK TOTAL THS_T 179.216
NO IMP 2022 PP_PK_CS TOTAL THS_T 122.096
NO IMP 2022 PP_PK_CB TOTAL THS_T 41.114
NO IMP 2022 PP_PK_WR TOTAL THS_T 14.286
NO IMP 2022 PP_PK_O TOTAL THS_T 1.719
NO IMP 2022 PP_O TOTAL THS_T 2.473
NO IMP 2022 GLT_CLT TOTAL THS_M3 62.1723404255
NO IMP 2022 GLT TOTAL THS_M3 47.6510638298
NO IMP 2022 CLT TOTAL THS_M3 14.5212765957
NO IMP 2022 I_BEAMS TOTAL THS_T 3.585
NO IMP 2022 RW TOTAL THS_NAC 872123
NO IMP 2022 RW_FW TOTAL THS_NAC 480976
NO IMP 2022 RW_FW CONIF THS_NAC 16838
NO IMP 2022 RW_FW NCONIF THS_NAC 464138
NO IMP 2022 RW_IN TOTAL THS_NAC 391147
NO IMP 2022 RW_IN CONIF THS_NAC 374173
NO IMP 2022 RW_IN NCONIF THS_NAC 16974
NO IMP 2022 RW_IN NC_TRO THS_NAC 656
NO IMP 2022 CHA TOTAL THS_NAC 425216
NO IMP 2022 CHP_RES TOTAL THS_NAC 314933
NO IMP 2022 CHP TOTAL THS_NAC 155352
NO IMP 2022 RES TOTAL THS_NAC 159580
NO IMP 2022 RES_SWD TOTAL THS_NAC 147107
NO IMP 2022 RCW TOTAL THS_NAC 0
NO IMP 2022 PEL_AGG TOTAL THS_NAC 148389
NO IMP 2022 PEL TOTAL THS_NAC 111947
NO IMP 2022 AGG TOTAL THS_NAC 36442
NO IMP 2022 SN TOTAL THS_NAC 4347414
NO IMP 2022 SN CONIF THS_NAC 3963870
NO IMP 2022 SN NCONIF THS_NAC 381833
NO IMP 2022 SN NC_TRO THS_NAC 26936
NO IMP 2022 PN_VN TOTAL THS_NAC 92714
NO IMP 2022 PN_VN CONIF THS_NAC 9541
NO IMP 2022 PN_VN NCONIF THS_NAC 83172
NO IMP 2022 PN_VN NC_TRO THS_NAC 736
NO IMP 2022 PN TOTAL THS_NAC 2953254
NO IMP 2022 PN_PY TOTAL THS_NAC 1167187
NO IMP 2022 PN_PY CONIF THS_NAC 477937
NO IMP 2022 PN_PY NCONIF THS_NAC 689249
NO IMP 2022 PN_PY NC_TRO THS_NAC 40451
NO IMP 2022 PN_PY_LVL TOTAL THS_NAC 44426
NO IMP 2022 PN_PY_LVL CONIF THS_NAC 42705
NO IMP 2022 PN_PY_LVL NCONIF THS_NAC 1721
NO IMP 2022 PN_PY_LVL NC_TRO THS_NAC 0
NO IMP 2022 PN_PB TOTAL THS_NAC 473605
NO IMP 2022 PN_PB_OSB TOTAL THS_NAC 273367
NO IMP 2022 PN_FB TOTAL THS_NAC 1268768
NO IMP 2022 PN_FB_HB TOTAL THS_NAC 415552
NO IMP 2022 PN_FB_MDF TOTAL THS_NAC 812890
NO IMP 2022 PN_FB_O TOTAL THS_NAC 40326
NO IMP 2022 PL TOTAL THS_NAC 530884
NO IMP 2022 PL_MC_SCH TOTAL THS_NAC 3259
NO IMP 2022 PL_CH TOTAL THS_NAC 527210
NO IMP 2022 PL_CH_SA TOTAL THS_NAC 519010
NO IMP 2022 PL_CH_SAB TOTAL THS_NAC 518838
NO IMP 2022 PL_CH_SI TOTAL THS_NAC 8200
NO IMP 2022 PL_DS TOTAL THS_NAC 415
NO IMP 2022 PLO TOTAL THS_NAC 21292
NO IMP 2022 PLO_NW TOTAL THS_NAC 7822
NO IMP 2022 PLO_RC TOTAL THS_NAC 13470
NO IMP 2022 RCP TOTAL THS_NAC 93257
NO IMP 2022 PP TOTAL THS_NAC 3092933
NO IMP 2022 PP_GR TOTAL THS_NAC 881978
NO IMP 2022 PP_GR_NP TOTAL THS_NAC 61618
NO IMP 2022 PP_GR_MC TOTAL THS_NAC 36066
NO IMP 2022 PP_GR_NW TOTAL THS_NAC 457980
NO IMP 2022 PP_GR_CO TOTAL THS_NAC 326314
NO IMP 2022 PP_HS TOTAL THS_NAC 91339
NO IMP 2022 PP_PK TOTAL THS_NAC 2046122
NO IMP 2022 PP_PK_CS TOTAL THS_NAC 1010861
NO IMP 2022 PP_PK_CB TOTAL THS_NAC 692645
NO IMP 2022 PP_PK_WR TOTAL THS_NAC 322357
NO IMP 2022 PP_PK_O TOTAL THS_NAC 20259
NO IMP 2022 PP_O TOTAL THS_NAC 73494
NO IMP 2022 GLT_CLT TOTAL THS_NAC 549561
NO IMP 2022 GLT TOTAL THS_NAC 432117
NO IMP 2022 CLT TOTAL THS_NAC 117444
NO IMP 2022 I_BEAMS TOTAL THS_NAC 43642
NO EXP 2021 RW TOTAL THS_M3 3964.338
NO EXP 2021 RW_FW TOTAL THS_M3 90.936
NO EXP 2021 RW_FW CONIF THS_M3 83.994
NO EXP 2021 RW_FW NCONIF THS_M3 6.942
NO EXP 2021 RW_IN TOTAL THS_M3 3873.402
NO EXP 2021 RW_IN CONIF THS_M3 3674.546
NO EXP 2021 RW_IN NCONIF THS_M3 198.856
NO EXP 2021 RW_IN NC_TRO THS_M3 0
NO EXP 2021 CHA TOTAL THS_T 0.677
NO EXP 2021 CHP_RES TOTAL THS_M3 1936.93
NO EXP 2021 CHP TOTAL THS_M3 398.041
NO EXP 2021 RES TOTAL THS_M3 1538.889
NO EXP 2021 RES_SWD TOTAL THS_M3
NO EXP 2021 RCW TOTAL THS_T
NO EXP 2021 PEL_AGG TOTAL THS_T 152.552
NO EXP 2021 PEL TOTAL THS_T 110.544
NO EXP 2021 AGG TOTAL THS_T 42.008
NO EXP 2021 SN TOTAL THS_M3 703.129
NO EXP 2021 SN CONIF THS_M3 695.72
NO EXP 2021 SN NCONIF THS_M3 7.409
NO EXP 2021 SN NC_TRO THS_M3 1.697
NO EXP 2021 PN_VN TOTAL THS_M3 2.239
NO EXP 2021 PN_VN CONIF THS_M3 1.571
NO EXP 2021 PN_VN NCONIF THS_M3 0.668
NO EXP 2021 PN_VN NC_TRO THS_M3 0.542
NO EXP 2021 PN TOTAL THS_M3 260.585
NO EXP 2021 PN_PY TOTAL THS_M3 31.992
NO EXP 2021 PN_PY CONIF THS_M3 6.78
NO EXP 2021 PN_PY NCONIF THS_M3 25.212
NO EXP 2021 PN_PY NC_TRO THS_M3 8.506
NO EXP 2021 PN_PY_LVL TOTAL THS_M3
NO EXP 2021 PN_PY_LVL CONIF THS_M3
NO EXP 2021 PN_PY_LVL NCONIF THS_M3
NO EXP 2021 PN_PY_LVL NC_TRO THS_M3
NO EXP 2021 PN_PB TOTAL THS_M3 115.432
NO EXP 2021 PN_PB_OSB TOTAL THS_M3 0.021
NO EXP 2021 PN_FB TOTAL THS_M3 50.196
NO EXP 2021 PN_FB_HB TOTAL THS_M3 6.964
NO EXP 2021 PN_FB_MDF TOTAL THS_M3 36.485
NO EXP 2021 PN_FB_O TOTAL THS_M3 6.747
NO EXP 2021 PL TOTAL THS_T 6
NO EXP 2021 PL_MC_SCH TOTAL THS_T 215.462
NO EXP 2021 PL_CH TOTAL THS_T 6
NO EXP 2021 PL_CH_SA TOTAL THS_T 6
NO EXP 2021 PL_CH_SAB TOTAL THS_T 6
NO EXP 2021 PL_CH_SI TOTAL THS_T 7.646
NO EXP 2021 PL_DS TOTAL THS_T 165.066
NO EXP 2021 PLO TOTAL THS_T 0.109
NO EXP 2021 PLO_NW TOTAL THS_T 0.109
NO EXP 2021 PLO_RC TOTAL THS_T
NO EXP 2021 RCP TOTAL THS_T 413.868
NO EXP 2021 PP TOTAL THS_T 6
NO EXP 2021 PP_GR TOTAL THS_T 6
NO EXP 2021 PP_GR_NP TOTAL THS_T 6
NO EXP 2021 PP_GR_MC TOTAL THS_T 373.559
NO EXP 2021 PP_GR_NW TOTAL THS_T 0.308
NO EXP 2021 PP_GR_CO TOTAL THS_T 0.314
NO EXP 2021 PP_HS TOTAL THS_T 0.095
NO EXP 2021 PP_PK TOTAL THS_T 117.653
NO EXP 2021 PP_PK_CS TOTAL THS_T 56.945
NO EXP 2021 PP_PK_CB TOTAL THS_T 0.196
NO EXP 2021 PP_PK_WR TOTAL THS_T 42.71
NO EXP 2021 PP_PK_O TOTAL THS_T 17.802
NO EXP 2021 PP_O TOTAL THS_T 0.004
NO EXP 2021 GLT_CLT TOTAL THS_M3
NO EXP 2021 GLT TOTAL THS_M3
NO EXP 2021 CLT TOTAL THS_M3
NO EXP 2021 I_BEAMS TOTAL THS_T
NO EXP 2021 RW TOTAL THS_NAC 2390363
NO EXP 2021 RW_FW TOTAL THS_NAC 20741
NO EXP 2021 RW_FW CONIF THS_NAC 15270
NO EXP 2021 RW_FW NCONIF THS_NAC 5471
NO EXP 2021 RW_IN TOTAL THS_NAC 2369622
NO EXP 2021 RW_IN CONIF THS_NAC 2288469
NO EXP 2021 RW_IN NCONIF THS_NAC 81153
NO EXP 2021 RW_IN NC_TRO THS_NAC 0
NO EXP 2021 CHA TOTAL THS_NAC 3475
NO EXP 2021 CHP_RES TOTAL THS_NAC 332554
NO EXP 2021 CHP TOTAL THS_NAC 170247
NO EXP 2021 RES TOTAL THS_NAC 162307
NO EXP 2021 RES_SWD TOTAL THS_NAC
NO EXP 2021 RCW TOTAL THS_NAC
NO EXP 2021 PEL_AGG TOTAL THS_NAC 77873
NO EXP 2021 PEL TOTAL THS_NAC 63090
NO EXP 2021 AGG TOTAL THS_NAC 14782
NO EXP 2021 SN TOTAL THS_NAC 2022361
NO EXP 2021 SN CONIF THS_NAC 1974638
NO EXP 2021 SN NCONIF THS_NAC 47723
NO EXP 2021 SN NC_TRO THS_NAC 24222
NO EXP 2021 PN_VN TOTAL THS_NAC 554
NO EXP 2021 PN_VN CONIF THS_NAC 223
NO EXP 2021 PN_VN NCONIF THS_NAC 331
NO EXP 2021 PN_VN NC_TRO THS_NAC 88
NO EXP 2021 PN TOTAL THS_NAC 1449994
NO EXP 2021 PN_PY TOTAL THS_NAC 263682
NO EXP 2021 PN_PY CONIF THS_NAC 39825
NO EXP 2021 PN_PY NCONIF THS_NAC 223857
NO EXP 2021 PN_PY NC_TRO THS_NAC 9603
NO EXP 2021 PN_PY_LVL TOTAL THS_NAC
NO EXP 2021 PN_PY_LVL CONIF THS_NAC
NO EXP 2021 PN_PY_LVL NCONIF THS_NAC
NO EXP 2021 PN_PY_LVL NC_TRO THS_NAC
NO EXP 2021 PN_PB TOTAL THS_NAC 506773
NO EXP 2021 PN_PB_OSB TOTAL THS_NAC 224
NO EXP 2021 PN_FB TOTAL THS_NAC 679539
NO EXP 2021 PN_FB_HB TOTAL THS_NAC 66683
NO EXP 2021 PN_FB_MDF TOTAL THS_NAC 555474
NO EXP 2021 PN_FB_O TOTAL THS_NAC 57382
NO EXP 2021 PL TOTAL THS_NAC 6
NO EXP 2021 PL_MC_SCH TOTAL THS_NAC 885528
NO EXP 2021 PL_CH TOTAL THS_NAC 6
NO EXP 2021 PL_CH_SA TOTAL THS_NAC 6
NO EXP 2021 PL_CH_SAB TOTAL THS_NAC 6
NO EXP 2021 PL_CH_SI TOTAL THS_NAC 621
NO EXP 2021 PL_DS TOTAL THS_NAC 1813423
NO EXP 2021 PLO TOTAL THS_NAC 33824
NO EXP 2021 PLO_NW TOTAL THS_NAC 33824
NO EXP 2021 PLO_RC TOTAL THS_NAC
NO EXP 2021 RCP TOTAL THS_NAC 625248
NO EXP 2021 PP TOTAL THS_NAC 6
NO EXP 2021 PP_GR TOTAL THS_NAC 6
NO EXP 2021 PP_GR_NP TOTAL THS_NAC 6
NO EXP 2021 PP_GR_MC TOTAL THS_NAC 1974453
NO EXP 2021 PP_GR_NW TOTAL THS_NAC 7683
NO EXP 2021 PP_GR_CO TOTAL THS_NAC 6346
NO EXP 2021 PP_HS TOTAL THS_NAC 4328
NO EXP 2021 PP_PK TOTAL THS_NAC 1232306
NO EXP 2021 PP_PK_CS TOTAL THS_NAC 333165
NO EXP 2021 PP_PK_CB TOTAL THS_NAC 10648
NO EXP 2021 PP_PK_WR TOTAL THS_NAC 805107
NO EXP 2021 PP_PK_O TOTAL THS_NAC 83385
NO EXP 2021 PP_O TOTAL THS_NAC 7742
NO EXP 2021 GLT_CLT TOTAL THS_NAC
NO EXP 2021 GLT TOTAL THS_NAC
NO EXP 2021 CLT TOTAL THS_NAC
NO EXP 2021 I_BEAMS TOTAL THS_NAC
NO EXP 2022 RW TOTAL THS_M3 4359.446
NO EXP 2022 RW_FW TOTAL THS_M3 90.374
NO EXP 2022 RW_FW CONIF THS_M3 72.369
NO EXP 2022 RW_FW NCONIF THS_M3 18.005
NO EXP 2022 RW_IN TOTAL THS_M3 4269.072
NO EXP 2022 RW_IN CONIF THS_M3 4145.228
NO EXP 2022 RW_IN NCONIF THS_M3 123.82
NO EXP 2022 RW_IN NC_TRO THS_M3 0.623
NO EXP 2022 CHA TOTAL THS_T 1.141
NO EXP 2022 CHP_RES TOTAL THS_M3 1788.335
NO EXP 2022 CHP TOTAL THS_M3 396.233
NO EXP 2022 RES TOTAL THS_M3 1392.102
NO EXP 2022 RES_SWD TOTAL THS_M3 221.876
NO EXP 2022 RCW TOTAL THS_T 330.661
NO EXP 2022 PEL_AGG TOTAL THS_T 145.72
NO EXP 2022 PEL TOTAL THS_T 127.291
NO EXP 2022 AGG TOTAL THS_T 18.429
NO EXP 2022 SN TOTAL THS_M3 869.907
NO EXP 2022 SN CONIF THS_M3 865.247
NO EXP 2022 SN NCONIF THS_M3 4.654
NO EXP 2022 SN NC_TRO THS_M3 2.102
NO EXP 2022 PN_VN TOTAL THS_M3 2.925
NO EXP 2022 PN_VN CONIF THS_M3 0.017
NO EXP 2022 PN_VN NCONIF THS_M3 2.908
NO EXP 2022 PN_VN NC_TRO THS_M3 2.874
NO EXP 2022 PN TOTAL THS_M3 199.994
NO EXP 2022 PN_PY TOTAL THS_M3 29.18
NO EXP 2022 PN_PY CONIF THS_M3 4.781
NO EXP 2022 PN_PY NCONIF THS_M3 24.399
NO EXP 2022 PN_PY NC_TRO THS_M3 3.801
NO EXP 2022 PN_PY_LVL TOTAL THS_M3 0.184
NO EXP 2022 PN_PY_LVL CONIF THS_M3 0.002
NO EXP 2022 PN_PY_LVL NCONIF THS_M3 0.182
NO EXP 2022 PN_PY_LVL NC_TRO THS_M3 0
NO EXP 2022 PN_PB TOTAL THS_M3 106.33
NO EXP 2022 PN_PB_OSB TOTAL THS_M3 0.056
NO EXP 2022 PN_FB TOTAL THS_M3 39.751
NO EXP 2022 PN_FB_HB TOTAL THS_M3 6.214
NO EXP 2022 PN_FB_MDF TOTAL THS_M3 27.687
NO EXP 2022 PN_FB_O TOTAL THS_M3 5.849
NO EXP 2022 PL TOTAL THS_T 6
NO EXP 2022 PL_MC_SCH TOTAL THS_T 207.965
NO EXP 2022 PL_CH TOTAL THS_T 6
NO EXP 2022 PL_CH_SA TOTAL THS_T 6
NO EXP 2022 PL_CH_SAB TOTAL THS_T 6
NO EXP 2022 PL_CH_SI TOTAL THS_T 6.642
NO EXP 2022 PL_DS TOTAL THS_T 148.349
NO EXP 2022 PLO TOTAL THS_T 0.124
NO EXP 2022 PLO_NW TOTAL THS_T 0.124
NO EXP 2022 PLO_RC TOTAL THS_T 0
NO EXP 2022 RCP TOTAL THS_T 385.297
NO EXP 2022 PP TOTAL THS_T 6
NO EXP 2022 PP_GR TOTAL THS_T 6
NO EXP 2022 PP_GR_NP TOTAL THS_T 6
NO EXP 2022 PP_GR_MC TOTAL THS_T 346.043
NO EXP 2022 PP_GR_NW TOTAL THS_T 0.309
NO EXP 2022 PP_GR_CO TOTAL THS_T 0.069
NO EXP 2022 PP_HS TOTAL THS_T 0.342
NO EXP 2022 PP_PK TOTAL THS_T 107.02
NO EXP 2022 PP_PK_CS TOTAL THS_T 52.446
NO EXP 2022 PP_PK_CB TOTAL THS_T 0.202
NO EXP 2022 PP_PK_WR TOTAL THS_T 42.436
NO EXP 2022 PP_PK_O TOTAL THS_T 11.936
NO EXP 2022 PP_O TOTAL THS_T 0.012
NO EXP 2022 GLT_CLT TOTAL THS_M3 0.1872340426
NO EXP 2022 GLT TOTAL THS_M3 0.1872340426
NO EXP 2022 CLT TOTAL THS_M3 0
NO EXP 2022 I_BEAMS TOTAL THS_T 0.008
NO EXP 2022 RW TOTAL THS_NAC 3038717
NO EXP 2022 RW_FW TOTAL THS_NAC 39579
NO EXP 2022 RW_FW CONIF THS_NAC 21138
NO EXP 2022 RW_FW NCONIF THS_NAC 18441
NO EXP 2022 RW_IN TOTAL THS_NAC 2999138
NO EXP 2022 RW_IN CONIF THS_NAC 2944775
NO EXP 2022 RW_IN NCONIF THS_NAC 54261
NO EXP 2022 RW_IN NC_TRO THS_NAC 147
NO EXP 2022 CHA TOTAL THS_NAC 8182
NO EXP 2022 CHP_RES TOTAL THS_NAC 350840
NO EXP 2022 CHP TOTAL THS_NAC 163869
NO EXP 2022 RES TOTAL THS_NAC 186971
NO EXP 2022 RES_SWD TOTAL THS_NAC 60457
NO EXP 2022 RCW TOTAL THS_NAC 125613
NO EXP 2022 PEL_AGG TOTAL THS_NAC 136032
NO EXP 2022 PEL TOTAL THS_NAC 123261
NO EXP 2022 AGG TOTAL THS_NAC 12771
NO EXP 2022 SN TOTAL THS_NAC 2435627
NO EXP 2022 SN CONIF THS_NAC 2417339
NO EXP 2022 SN NCONIF THS_NAC 17841
NO EXP 2022 SN NC_TRO THS_NAC 5547
NO EXP 2022 PN_VN TOTAL THS_NAC 543
NO EXP 2022 PN_VN CONIF THS_NAC 55
NO EXP 2022 PN_VN NCONIF THS_NAC 488
NO EXP 2022 PN_VN NC_TRO THS_NAC 100
NO EXP 2022 PN TOTAL THS_NAC 1530912
NO EXP 2022 PN_PY TOTAL THS_NAC 299980
NO EXP 2022 PN_PY CONIF THS_NAC 20072
NO EXP 2022 PN_PY NCONIF THS_NAC 279908
NO EXP 2022 PN_PY NC_TRO THS_NAC 5404
NO EXP 2022 PN_PY_LVL TOTAL THS_NAC 832
NO EXP 2022 PN_PY_LVL CONIF THS_NAC 8
NO EXP 2022 PN_PY_LVL NCONIF THS_NAC 824
NO EXP 2022 PN_PY_LVL NC_TRO THS_NAC 0
NO EXP 2022 PN_PB TOTAL THS_NAC 607687
NO EXP 2022 PN_PB_OSB TOTAL THS_NAC 691
NO EXP 2022 PN_FB TOTAL THS_NAC 622415
NO EXP 2022 PN_FB_HB TOTAL THS_NAC 65063
NO EXP 2022 PN_FB_MDF TOTAL THS_NAC 494938
NO EXP 2022 PN_FB_O TOTAL THS_NAC 62414
NO EXP 2022 PL TOTAL THS_NAC 6
NO EXP 2022 PL_MC_SCH TOTAL THS_NAC 1227529
NO EXP 2022 PL_CH TOTAL THS_NAC 6
NO EXP 2022 PL_CH_SA TOTAL THS_NAC 6
NO EXP 2022 PL_CH_SAB TOTAL THS_NAC 6
NO EXP 2022 PL_CH_SI TOTAL THS_NAC 573
NO EXP 2022 PL_DS TOTAL THS_NAC 2109490
NO EXP 2022 PLO TOTAL THS_NAC 58425
NO EXP 2022 PLO_NW TOTAL THS_NAC 58425
NO EXP 2022 PLO_RC TOTAL THS_NAC 0
NO EXP 2022 RCP TOTAL THS_NAC 672055
NO EXP 2022 PP TOTAL THS_NAC 6
NO EXP 2022 PP_GR TOTAL THS_NAC 6
NO EXP 2022 PP_GR_NP TOTAL THS_NAC 6
NO EXP 2022 PP_GR_MC TOTAL THS_NAC 2915871
NO EXP 2022 PP_GR_NW TOTAL THS_NAC 9636
NO EXP 2022 PP_GR_CO TOTAL THS_NAC 2596
NO EXP 2022 PP_HS TOTAL THS_NAC 14445
NO EXP 2022 PP_PK TOTAL THS_NAC 1482659
NO EXP 2022 PP_PK_CS TOTAL THS_NAC 389634
NO EXP 2022 PP_PK_CB TOTAL THS_NAC 11229
NO EXP 2022 PP_PK_WR TOTAL THS_NAC 1006019
NO EXP 2022 PP_PK_O TOTAL THS_NAC 75776
NO EXP 2022 PP_O TOTAL THS_NAC 1230
NO EXP 2022 GLT_CLT TOTAL THS_NAC 2806
NO EXP 2022 GLT TOTAL THS_NAC 2806
NO EXP 2022 CLT TOTAL THS_NAC 0
NO EXP 2022 I_BEAMS TOTAL THS_NAC 335
NO IMP_XEU 2021 RW TOTAL THS_M3 65.933
NO IMP_XEU 2021 RW_FW TOTAL THS_M3 64.776
NO IMP_XEU 2021 RW_FW CONIF THS_M3 1.859
NO IMP_XEU 2021 RW_FW NCONIF THS_M3 62.917
NO IMP_XEU 2021 RW_IN TOTAL THS_M3 1.157
NO IMP_XEU 2021 RW_IN CONIF THS_M3 1.122
NO IMP_XEU 2021 RW_IN NCONIF THS_M3 0.035
NO IMP_XEU 2021 RW_IN NC_TRO THS_M3 0.012
NO IMP_XEU 2021 CHA TOTAL THS_T 16.965
NO IMP_XEU 2021 CHP_RES TOTAL THS_M3 52.519
NO IMP_XEU 2021 CHP TOTAL THS_M3 51.539
NO IMP_XEU 2021 RES TOTAL THS_M3 0.98
NO IMP_XEU 2021 RES_SWD TOTAL THS_M3
NO IMP_XEU 2021 RCW TOTAL THS_T
NO IMP_XEU 2021 PEL_AGG TOTAL THS_T 17.851
NO IMP_XEU 2021 PEL TOTAL THS_T 6.482
NO IMP_XEU 2021 AGG TOTAL THS_T 11.369
NO IMP_XEU 2021 SN TOTAL THS_M3 14.412
NO IMP_XEU 2021 SN CONIF THS_M3 3.527
NO IMP_XEU 2021 SN NCONIF THS_M3 10.885
NO IMP_XEU 2021 SN NC_TRO THS_M3 1.717
NO IMP_XEU 2021 PN_VN TOTAL THS_M3 0.072
NO IMP_XEU 2021 PN_VN CONIF THS_M3 0.006
NO IMP_XEU 2021 PN_VN NCONIF THS_M3 0.066
NO IMP_XEU 2021 PN_VN NC_TRO THS_M3 0.017
NO IMP_XEU 2021 PN TOTAL THS_M3 81.491
NO IMP_XEU 2021 PN_PY TOTAL THS_M3 50.544
NO IMP_XEU 2021 PN_PY CONIF THS_M3 15.563
NO IMP_XEU 2021 PN_PY NCONIF THS_M3 34.981
NO IMP_XEU 2021 PN_PY NC_TRO THS_M3 3.998
NO IMP_XEU 2021 PN_PY_LVL TOTAL THS_M3
NO IMP_XEU 2021 PN_PY_LVL CONIF THS_M3
NO IMP_XEU 2021 PN_PY_LVL NCONIF THS_M3
NO IMP_XEU 2021 PN_PY_LVL NC_TRO THS_M3
NO IMP_XEU 2021 PN_PB TOTAL THS_M3 18.161
NO IMP_XEU 2021 PN_PB_OSB TOTAL THS_M3 17.55
NO IMP_XEU 2021 PN_FB TOTAL THS_M3 4.234
NO IMP_XEU 2021 PN_FB_HB TOTAL THS_M3 0.722
NO IMP_XEU 2021 PN_FB_MDF TOTAL THS_M3 3.471
NO IMP_XEU 2021 PN_FB_O TOTAL THS_M3 0.041
NO IMP_XEU 2021 PL TOTAL THS_T 11.606
NO IMP_XEU 2021 PL_MC_SCH TOTAL THS_T 0.034
NO IMP_XEU 2021 PL_CH TOTAL THS_T 11.571
NO IMP_XEU 2021 PL_CH_SA TOTAL THS_T 11.564
NO IMP_XEU 2021 PL_CH_SAB TOTAL THS_T 11.564
NO IMP_XEU 2021 PL_CH_SI TOTAL THS_T 0.007
NO IMP_XEU 2021 PL_DS TOTAL THS_T 0.001
NO IMP_XEU 2021 PLO TOTAL THS_T 0.128
NO IMP_XEU 2021 PLO_NW TOTAL THS_T 0.121
NO IMP_XEU 2021 PLO_RC TOTAL THS_T 0.007
NO IMP_XEU 2021 RCP TOTAL THS_T 15.311
NO IMP_XEU 2021 PP TOTAL THS_T 7.315
NO IMP_XEU 2021 PP_GR TOTAL THS_T 1.198
NO IMP_XEU 2021 PP_GR_NP TOTAL THS_T 0.001
NO IMP_XEU 2021 PP_GR_MC TOTAL THS_T 0.096
NO IMP_XEU 2021 PP_GR_NW TOTAL THS_T 0.19
NO IMP_XEU 2021 PP_GR_CO TOTAL THS_T 0.911
NO IMP_XEU 2021 PP_HS TOTAL THS_T 0.227
NO IMP_XEU 2021 PP_PK TOTAL THS_T 4.77
NO IMP_XEU 2021 PP_PK_CS TOTAL THS_T 1.033
NO IMP_XEU 2021 PP_PK_CB TOTAL THS_T 3.326
NO IMP_XEU 2021 PP_PK_WR TOTAL THS_T 0.378
NO IMP_XEU 2021 PP_PK_O TOTAL THS_T 0.033
NO IMP_XEU 2021 PP_O TOTAL THS_T 1.12
NO IMP_XEU 2021 GLT_CLT TOTAL THS_M3
NO IMP_XEU 2021 GLT TOTAL THS_M3
NO IMP_XEU 2021 CLT TOTAL THS_M3
NO IMP_XEU 2021 I_BEAMS TOTAL THS_T
NO IMP_XEU 2021 RW TOTAL THS_NAC 78071
NO IMP_XEU 2021 RW_FW TOTAL THS_NAC 70958
NO IMP_XEU 2021 RW_FW CONIF THS_NAC 3112
NO IMP_XEU 2021 RW_FW NCONIF THS_NAC 67846
NO IMP_XEU 2021 RW_IN TOTAL THS_NAC 7113
NO IMP_XEU 2021 RW_IN CONIF THS_NAC 6921
NO IMP_XEU 2021 RW_IN NCONIF THS_NAC 191
NO IMP_XEU 2021 RW_IN NC_TRO THS_NAC 95
NO IMP_XEU 2021 CHA TOTAL THS_NAC 110020
NO IMP_XEU 2021 CHP_RES TOTAL THS_NAC 33725
NO IMP_XEU 2021 CHP TOTAL THS_NAC 33513
NO IMP_XEU 2021 RES TOTAL THS_NAC 212
NO IMP_XEU 2021 RES_SWD TOTAL THS_NAC
NO IMP_XEU 2021 RCW TOTAL THS_NAC
NO IMP_XEU 2021 PEL_AGG TOTAL THS_NAC 14865
NO IMP_XEU 2021 PEL TOTAL THS_NAC 6524
NO IMP_XEU 2021 AGG TOTAL THS_NAC 8341
NO IMP_XEU 2021 SN TOTAL THS_NAC 219656
NO IMP_XEU 2021 SN CONIF THS_NAC 22492
NO IMP_XEU 2021 SN NCONIF THS_NAC 197164
NO IMP_XEU 2021 SN NC_TRO THS_NAC 52320
NO IMP_XEU 2021 PN_VN TOTAL THS_NAC 1131
NO IMP_XEU 2021 PN_VN CONIF THS_NAC 9
NO IMP_XEU 2021 PN_VN NCONIF THS_NAC 1122
NO IMP_XEU 2021 PN_VN NC_TRO THS_NAC 13
NO IMP_XEU 2021 PN TOTAL THS_NAC 518137
NO IMP_XEU 2021 PN_PY TOTAL THS_NAC 319638
NO IMP_XEU 2021 PN_PY CONIF THS_NAC 81885
NO IMP_XEU 2021 PN_PY NCONIF THS_NAC 237753
NO IMP_XEU 2021 PN_PY NC_TRO THS_NAC 21037
NO IMP_XEU 2021 PN_PY_LVL TOTAL THS_NAC
NO IMP_XEU 2021 PN_PY_LVL CONIF THS_NAC
NO IMP_XEU 2021 PN_PY_LVL NCONIF THS_NAC
NO IMP_XEU 2021 PN_PY_LVL NC_TRO THS_NAC
NO IMP_XEU 2021 PN_PB TOTAL THS_NAC 131667
NO IMP_XEU 2021 PN_PB_OSB TOTAL THS_NAC 126391
NO IMP_XEU 2021 PN_FB TOTAL THS_NAC 66832
NO IMP_XEU 2021 PN_FB_HB TOTAL THS_NAC 9101
NO IMP_XEU 2021 PN_FB_MDF TOTAL THS_NAC 57444
NO IMP_XEU 2021 PN_FB_O TOTAL THS_NAC 287
NO IMP_XEU 2021 PL TOTAL THS_NAC 70019
NO IMP_XEU 2021 PL_MC_SCH TOTAL THS_NAC 268
NO IMP_XEU 2021 PL_CH TOTAL THS_NAC 69747
NO IMP_XEU 2021 PL_CH_SA TOTAL THS_NAC 69144
NO IMP_XEU 2021 PL_CH_SAB TOTAL THS_NAC 69144
NO IMP_XEU 2021 PL_CH_SI TOTAL THS_NAC 603
NO IMP_XEU 2021 PL_DS TOTAL THS_NAC 3
NO IMP_XEU 2021 PLO TOTAL THS_NAC 2077
NO IMP_XEU 2021 PLO_NW TOTAL THS_NAC 1883
NO IMP_XEU 2021 PLO_RC TOTAL THS_NAC 194
NO IMP_XEU 2021 RCP TOTAL THS_NAC 11270
NO IMP_XEU 2021 PP TOTAL THS_NAC 136978
NO IMP_XEU 2021 PP_GR TOTAL THS_NAC 32774
NO IMP_XEU 2021 PP_GR_NP TOTAL THS_NAC 77
NO IMP_XEU 2021 PP_GR_MC TOTAL THS_NAC 1801
NO IMP_XEU 2021 PP_GR_NW TOTAL THS_NAC 9627
NO IMP_XEU 2021 PP_GR_CO TOTAL THS_NAC 21269
NO IMP_XEU 2021 PP_HS TOTAL THS_NAC 8100
NO IMP_XEU 2021 PP_PK TOTAL THS_NAC 83837
NO IMP_XEU 2021 PP_PK_CS TOTAL THS_NAC 12119
NO IMP_XEU 2021 PP_PK_CB TOTAL THS_NAC 58093
NO IMP_XEU 2021 PP_PK_WR TOTAL THS_NAC 13103
NO IMP_XEU 2021 PP_PK_O TOTAL THS_NAC 522
NO IMP_XEU 2021 PP_O TOTAL THS_NAC 12267
NO IMP_XEU 2021 GLT_CLT TOTAL THS_NAC
NO IMP_XEU 2021 GLT TOTAL THS_NAC
NO IMP_XEU 2021 CLT TOTAL THS_NAC
NO IMP_XEU 2021 I_BEAMS TOTAL THS_NAC
NO IMP_XEU 2022 RW TOTAL THS_M3 16.909
NO IMP_XEU 2022 RW_FW TOTAL THS_M3 16.698
NO IMP_XEU 2022 RW_FW CONIF THS_M3 0.057
NO IMP_XEU 2022 RW_FW NCONIF THS_M3 16.641
NO IMP_XEU 2022 RW_IN TOTAL THS_M3 0.211
NO IMP_XEU 2022 RW_IN CONIF THS_M3 0.091
NO IMP_XEU 2022 RW_IN NCONIF THS_M3 0.12
NO IMP_XEU 2022 RW_IN NC_TRO THS_M3 0.015
NO IMP_XEU 2022 CHA TOTAL THS_T 31.108
NO IMP_XEU 2022 CHP_RES TOTAL THS_M3 32.575
NO IMP_XEU 2022 CHP TOTAL THS_M3 28.591
NO IMP_XEU 2022 RES TOTAL THS_M3 3.984
NO IMP_XEU 2022 RES_SWD TOTAL THS_M3 3.983
NO IMP_XEU 2022 RCW TOTAL THS_T 0
NO IMP_XEU 2022 PEL_AGG TOTAL THS_T 13.507
NO IMP_XEU 2022 PEL TOTAL THS_T 11.827
NO IMP_XEU 2022 AGG TOTAL THS_T 1.68
NO IMP_XEU 2022 SN TOTAL THS_M3 13.814
NO IMP_XEU 2022 SN CONIF THS_M3 2.781
NO IMP_XEU 2022 SN NCONIF THS_M3 11.033
NO IMP_XEU 2022 SN NC_TRO THS_M3 2.558
NO IMP_XEU 2022 PN_VN TOTAL THS_M3 0.633
NO IMP_XEU 2022 PN_VN CONIF THS_M3 0.262
NO IMP_XEU 2022 PN_VN NCONIF THS_M3 0.371
NO IMP_XEU 2022 PN_VN NC_TRO THS_M3 0.011
NO IMP_XEU 2022 PN TOTAL THS_M3 74.605
NO IMP_XEU 2022 PN_PY TOTAL THS_M3 40.337
NO IMP_XEU 2022 PN_PY CONIF THS_M3 12.997
NO IMP_XEU 2022 PN_PY NCONIF THS_M3 27.34
NO IMP_XEU 2022 PN_PY NC_TRO THS_M3 4.869
NO IMP_XEU 2022 PN_PY_LVL TOTAL THS_M3 0
NO IMP_XEU 2022 PN_PY_LVL CONIF THS_M3 0
NO IMP_XEU 2022 PN_PY_LVL NCONIF THS_M3 0
NO IMP_XEU 2022 PN_PY_LVL NC_TRO THS_M3 0
NO IMP_XEU 2022 PN_PB TOTAL THS_M3 19.629
NO IMP_XEU 2022 PN_PB_OSB TOTAL THS_M3 18.934
NO IMP_XEU 2022 PN_FB TOTAL THS_M3 3.091
NO IMP_XEU 2022 PN_FB_HB TOTAL THS_M3 0.784
NO IMP_XEU 2022 PN_FB_MDF TOTAL THS_M3 2.303
NO IMP_XEU 2022 PN_FB_O TOTAL THS_M3 0.004
NO IMP_XEU 2022 PL TOTAL THS_T 13.861
NO IMP_XEU 2022 PL_MC_SCH TOTAL THS_T 0.001
NO IMP_XEU 2022 PL_CH TOTAL THS_T 13.86
NO IMP_XEU 2022 PL_CH_SA TOTAL THS_T 13.859
NO IMP_XEU 2022 PL_CH_SAB TOTAL THS_T 13.859
NO IMP_XEU 2022 PL_CH_SI TOTAL THS_T 0.001
NO IMP_XEU 2022 PL_DS TOTAL THS_T 0
NO IMP_XEU 2022 PLO TOTAL THS_T 0.091
NO IMP_XEU 2022 PLO_NW TOTAL THS_T 0.085
NO IMP_XEU 2022 PLO_RC TOTAL THS_T 0.006
NO IMP_XEU 2022 RCP TOTAL THS_T 33.884
NO IMP_XEU 2022 PP TOTAL THS_T 5.576
NO IMP_XEU 2022 PP_GR TOTAL THS_T 0.908
NO IMP_XEU 2022 PP_GR_NP TOTAL THS_T 0.096
NO IMP_XEU 2022 PP_GR_MC TOTAL THS_T 0.121
NO IMP_XEU 2022 PP_GR_NW TOTAL THS_T 0.159
NO IMP_XEU 2022 PP_GR_CO TOTAL THS_T 0.532
NO IMP_XEU 2022 PP_HS TOTAL THS_T 0.2
NO IMP_XEU 2022 PP_PK TOTAL THS_T 3.441
NO IMP_XEU 2022 PP_PK_CS TOTAL THS_T 0.124
NO IMP_XEU 2022 PP_PK_CB TOTAL THS_T 3.02
NO IMP_XEU 2022 PP_PK_WR TOTAL THS_T 0.272
NO IMP_XEU 2022 PP_PK_O TOTAL THS_T 0.025
NO IMP_XEU 2022 PP_O TOTAL THS_T 1.027
NO IMP_XEU 2022 GLT_CLT TOTAL THS_M3 0.1042553191
NO IMP_XEU 2022 GLT TOTAL THS_M3 0.0531914894
NO IMP_XEU 2022 CLT TOTAL THS_M3 0.0510638298
NO IMP_XEU 2022 I_BEAMS TOTAL THS_T 0
NO IMP_XEU 2022 RW TOTAL THS_NAC 24945
NO IMP_XEU 2022 RW_FW TOTAL THS_NAC 24092
NO IMP_XEU 2022 RW_FW CONIF THS_NAC 85
NO IMP_XEU 2022 RW_FW NCONIF THS_NAC 24007
NO IMP_XEU 2022 RW_IN TOTAL THS_NAC 853
NO IMP_XEU 2022 RW_IN CONIF THS_NAC 689
NO IMP_XEU 2022 RW_IN NCONIF THS_NAC 163
NO IMP_XEU 2022 RW_IN NC_TRO THS_NAC 55
NO IMP_XEU 2022 CHA TOTAL THS_NAC 290212
NO IMP_XEU 2022 CHP_RES TOTAL THS_NAC 28246
NO IMP_XEU 2022 CHP TOTAL THS_NAC 24129
NO IMP_XEU 2022 RES TOTAL THS_NAC 4117
NO IMP_XEU 2022 RES_SWD TOTAL THS_NAC 4116
NO IMP_XEU 2022 RCW TOTAL THS_NAC 0
NO IMP_XEU 2022 PEL_AGG TOTAL THS_NAC 14735
NO IMP_XEU 2022 PEL TOTAL THS_NAC 9675
NO IMP_XEU 2022 AGG TOTAL THS_NAC 5060
NO IMP_XEU 2022 SN TOTAL THS_NAC 200915
NO IMP_XEU 2022 SN CONIF THS_NAC 20202
NO IMP_XEU 2022 SN NCONIF THS_NAC 180713
NO IMP_XEU 2022 SN NC_TRO THS_NAC 22100
NO IMP_XEU 2022 PN_VN TOTAL THS_NAC 3287
NO IMP_XEU 2022 PN_VN CONIF THS_NAC 1735
NO IMP_XEU 2022 PN_VN NCONIF THS_NAC 1552
NO IMP_XEU 2022 PN_VN NC_TRO THS_NAC 14
NO IMP_XEU 2022 PN TOTAL THS_NAC 439027
NO IMP_XEU 2022 PN_PY TOTAL THS_NAC 246245
NO IMP_XEU 2022 PN_PY CONIF THS_NAC 71965
NO IMP_XEU 2022 PN_PY NCONIF THS_NAC 174280
NO IMP_XEU 2022 PN_PY NC_TRO THS_NAC 26424
NO IMP_XEU 2022 PN_PY_LVL TOTAL THS_NAC 0
NO IMP_XEU 2022 PN_PY_LVL CONIF THS_NAC 0
NO IMP_XEU 2022 PN_PY_LVL NCONIF THS_NAC 0
NO IMP_XEU 2022 PN_PY_LVL NC_TRO THS_NAC 0
NO IMP_XEU 2022 PN_PB TOTAL THS_NAC 128551
NO IMP_XEU 2022 PN_PB_OSB TOTAL THS_NAC 120901
NO IMP_XEU 2022 PN_FB TOTAL THS_NAC 64231
NO IMP_XEU 2022 PN_FB_HB TOTAL THS_NAC 9528
NO IMP_XEU 2022 PN_FB_MDF TOTAL THS_NAC 54611
NO IMP_XEU 2022 PN_FB_O TOTAL THS_NAC 92
NO IMP_XEU 2022 PL TOTAL THS_NAC 114091
NO IMP_XEU 2022 PL_MC_SCH TOTAL THS_NAC 227
NO IMP_XEU 2022 PL_CH TOTAL THS_NAC 113864
NO IMP_XEU 2022 PL_CH_SA TOTAL THS_NAC 113790
NO IMP_XEU 2022 PL_CH_SAB TOTAL THS_NAC 113790
NO IMP_XEU 2022 PL_CH_SI TOTAL THS_NAC 73
NO IMP_XEU 2022 PL_DS TOTAL THS_NAC 0
NO IMP_XEU 2022 PLO TOTAL THS_NAC 1496
NO IMP_XEU 2022 PLO_NW TOTAL THS_NAC 1257
NO IMP_XEU 2022 PLO_RC TOTAL THS_NAC 239
NO IMP_XEU 2022 RCP TOTAL THS_NAC 24395
NO IMP_XEU 2022 PP TOTAL THS_NAC 130618
NO IMP_XEU 2022 PP_GR TOTAL THS_NAC 41530
NO IMP_XEU 2022 PP_GR_NP TOTAL THS_NAC 2006
NO IMP_XEU 2022 PP_GR_MC TOTAL THS_NAC 2966
NO IMP_XEU 2022 PP_GR_NW TOTAL THS_NAC 9029
NO IMP_XEU 2022 PP_GR_CO TOTAL THS_NAC 27529
NO IMP_XEU 2022 PP_HS TOTAL THS_NAC 7654
NO IMP_XEU 2022 PP_PK TOTAL THS_NAC 66305
NO IMP_XEU 2022 PP_PK_CS TOTAL THS_NAC 7179
NO IMP_XEU 2022 PP_PK_CB TOTAL THS_NAC 44355
NO IMP_XEU 2022 PP_PK_WR TOTAL THS_NAC 14275
NO IMP_XEU 2022 PP_PK_O TOTAL THS_NAC 496
NO IMP_XEU 2022 PP_O TOTAL THS_NAC 15129
NO IMP_XEU 2022 GLT_CLT TOTAL THS_NAC 1491
NO IMP_XEU 2022 GLT TOTAL THS_NAC 675
NO IMP_XEU 2022 CLT TOTAL THS_NAC 816
NO IMP_XEU 2022 I_BEAMS TOTAL THS_NAC 28
NO EXP_XEU 2021 RW TOTAL THS_M3 13.081
NO EXP_XEU 2021 RW_FW TOTAL THS_M3 0
NO EXP_XEU 2021 RW_FW CONIF THS_M3 0
NO EXP_XEU 2021 RW_FW NCONIF THS_M3 0
NO EXP_XEU 2021 RW_IN TOTAL THS_M3 13.081
NO EXP_XEU 2021 RW_IN CONIF THS_M3 13.081
NO EXP_XEU 2021 RW_IN NCONIF THS_M3 0
NO EXP_XEU 2021 RW_IN NC_TRO THS_M3 0
NO EXP_XEU 2021 CHA TOTAL THS_T 0.458
NO EXP_XEU 2021 CHP_RES TOTAL THS_M3 0
NO EXP_XEU 2021 CHP TOTAL THS_M3 0
NO EXP_XEU 2021 RES TOTAL THS_M3 0
NO EXP_XEU 2021 RES_SWD TOTAL THS_M3
NO EXP_XEU 2021 RCW TOTAL THS_T 0
NO EXP_XEU 2021 PEL_AGG TOTAL THS_T 0.002
NO EXP_XEU 2021 PEL TOTAL THS_T 0
NO EXP_XEU 2021 AGG TOTAL THS_T 0.002
NO EXP_XEU 2021 SN TOTAL THS_M3 131.605
NO EXP_XEU 2021 SN CONIF THS_M3 126.983
NO EXP_XEU 2021 SN NCONIF THS_M3 4.622
NO EXP_XEU 2021 SN NC_TRO THS_M3 0
NO EXP_XEU 2021 PN_VN TOTAL THS_M3 0.007
NO EXP_XEU 2021 PN_VN CONIF THS_M3 0
NO EXP_XEU 2021 PN_VN NCONIF THS_M3 0.007
NO EXP_XEU 2021 PN_VN NC_TRO THS_M3 0
NO EXP_XEU 2021 PN TOTAL THS_M3 22.043
NO EXP_XEU 2021 PN_PY TOTAL THS_M3 15.47
NO EXP_XEU 2021 PN_PY CONIF THS_M3 4.083
NO EXP_XEU 2021 PN_PY NCONIF THS_M3 11.387
NO EXP_XEU 2021 PN_PY NC_TRO THS_M3 5.757
NO EXP_XEU 2021 PN_PY_LVL TOTAL THS_M3
NO EXP_XEU 2021 PN_PY_LVL CONIF THS_M3
NO EXP_XEU 2021 PN_PY_LVL NCONIF THS_M3
NO EXP_XEU 2021 PN_PY_LVL NC_TRO THS_M3
NO EXP_XEU 2021 PN_PB TOTAL THS_M3 3.006
NO EXP_XEU 2021 PN_PB_OSB TOTAL THS_M3 0
NO EXP_XEU 2021 PN_FB TOTAL THS_M3 3.567
NO EXP_XEU 2021 PN_FB_HB TOTAL THS_M3 0.027
NO EXP_XEU 2021 PN_FB_MDF TOTAL THS_M3 1.406
NO EXP_XEU 2021 PN_FB_O TOTAL THS_M3 2.134
NO EXP_XEU 2021 PL TOTAL THS_T 6
NO EXP_XEU 2021 PL_MC_SCH TOTAL THS_T 36.513
NO EXP_XEU 2021 PL_CH TOTAL THS_T 6
NO EXP_XEU 2021 PL_CH_SA TOTAL THS_T 6
NO EXP_XEU 2021 PL_CH_SAB TOTAL THS_T 6
NO EXP_XEU 2021 PL_CH_SI TOTAL THS_T 0
NO EXP_XEU 2021 PL_DS TOTAL THS_T 62.044
NO EXP_XEU 2021 PLO TOTAL THS_T 0
NO EXP_XEU 2021 PLO_NW TOTAL THS_T 0
NO EXP_XEU 2021 PLO_RC TOTAL THS_T 0
NO EXP_XEU 2021 RCP TOTAL THS_T 53.126
NO EXP_XEU 2021 PP TOTAL THS_T 6
NO EXP_XEU 2021 PP_GR TOTAL THS_T 6
NO EXP_XEU 2021 PP_GR_NP TOTAL THS_T 6
NO EXP_XEU 2021 PP_GR_MC TOTAL THS_T 6
NO EXP_XEU 2021 PP_GR_NW TOTAL THS_T 0.002
NO EXP_XEU 2021 PP_GR_CO TOTAL THS_T 0.102
NO EXP_XEU 2021 PP_HS TOTAL THS_T 0.018
NO EXP_XEU 2021 PP_PK TOTAL THS_T 26.177
NO EXP_XEU 2021 PP_PK_CS TOTAL THS_T 5.069
NO EXP_XEU 2021 PP_PK_CB TOTAL THS_T 0.005
NO EXP_XEU 2021 PP_PK_WR TOTAL THS_T 20.084
NO EXP_XEU 2021 PP_PK_O TOTAL THS_T 1.019
NO EXP_XEU 2021 PP_O TOTAL THS_T 0.001
NO EXP_XEU 2021 GLT_CLT TOTAL THS_M3
NO EXP_XEU 2021 GLT TOTAL THS_M3
NO EXP_XEU 2021 CLT TOTAL THS_M3
NO EXP_XEU 2021 I_BEAMS TOTAL THS_T
NO EXP_XEU 2021 RW TOTAL THS_NAC 52748
NO EXP_XEU 2021 RW_FW TOTAL THS_NAC 0
NO EXP_XEU 2021 RW_FW CONIF THS_NAC 0
NO EXP_XEU 2021 RW_FW NCONIF THS_NAC 0
NO EXP_XEU 2021 RW_IN TOTAL THS_NAC 52748
NO EXP_XEU 2021 RW_IN CONIF THS_NAC 52748
NO EXP_XEU 2021 RW_IN NCONIF THS_NAC 0
NO EXP_XEU 2021 RW_IN NC_TRO THS_NAC 0
NO EXP_XEU 2021 CHA TOTAL THS_NAC 2995
NO EXP_XEU 2021 CHP_RES TOTAL THS_NAC 0
NO EXP_XEU 2021 CHP TOTAL THS_NAC 0
NO EXP_XEU 2021 RES TOTAL THS_NAC 0
NO EXP_XEU 2021 RES_SWD TOTAL THS_NAC
NO EXP_XEU 2021 RCW TOTAL THS_NAC 0
NO EXP_XEU 2021 PEL_AGG TOTAL THS_NAC 2
NO EXP_XEU 2021 PEL TOTAL THS_NAC 0
NO EXP_XEU 2021 AGG TOTAL THS_NAC 2
NO EXP_XEU 2021 SN TOTAL THS_NAC 445099
NO EXP_XEU 2021 SN CONIF THS_NAC 430459
NO EXP_XEU 2021 SN NCONIF THS_NAC 14640
NO EXP_XEU 2021 SN NC_TRO THS_NAC 0
NO EXP_XEU 2021 PN_VN TOTAL THS_NAC 34
NO EXP_XEU 2021 PN_VN CONIF THS_NAC 0
NO EXP_XEU 2021 PN_VN NCONIF THS_NAC 34
NO EXP_XEU 2021 PN_VN NC_TRO THS_NAC 0
NO EXP_XEU 2021 PN TOTAL THS_NAC 149309
NO EXP_XEU 2021 PN_PY TOTAL THS_NAC 97198
NO EXP_XEU 2021 PN_PY CONIF THS_NAC 12258
NO EXP_XEU 2021 PN_PY NCONIF THS_NAC 84939
NO EXP_XEU 2021 PN_PY NC_TRO THS_NAC 6577
NO EXP_XEU 2021 PN_PY_LVL TOTAL THS_NAC
NO EXP_XEU 2021 PN_PY_LVL CONIF THS_NAC
NO EXP_XEU 2021 PN_PY_LVL NCONIF THS_NAC
NO EXP_XEU 2021 PN_PY_LVL NC_TRO THS_NAC
NO EXP_XEU 2021 PN_PB TOTAL THS_NAC 14404
NO EXP_XEU 2021 PN_PB_OSB TOTAL THS_NAC 0
NO EXP_XEU 2021 PN_FB TOTAL THS_NAC 37707
NO EXP_XEU 2021 PN_FB_HB TOTAL THS_NAC 308
NO EXP_XEU 2021 PN_FB_MDF TOTAL THS_NAC 20440
NO EXP_XEU 2021 PN_FB_O TOTAL THS_NAC 16959
NO EXP_XEU 2021 PL TOTAL THS_NAC 6
NO EXP_XEU 2021 PL_MC_SCH TOTAL THS_NAC 141660
NO EXP_XEU 2021 PL_CH TOTAL THS_NAC 6
NO EXP_XEU 2021 PL_CH_SA TOTAL THS_NAC 6
NO EXP_XEU 2021 PL_CH_SAB TOTAL THS_NAC 6
NO EXP_XEU 2021 PL_CH_SI TOTAL THS_NAC 0
NO EXP_XEU 2021 PL_DS TOTAL THS_NAC 687771
NO EXP_XEU 2021 PLO TOTAL THS_NAC 0
NO EXP_XEU 2021 PLO_NW TOTAL THS_NAC 0
NO EXP_XEU 2021 PLO_RC TOTAL THS_NAC 0
NO EXP_XEU 2021 RCP TOTAL THS_NAC 114832
NO EXP_XEU 2021 PP TOTAL THS_NAC 6
NO EXP_XEU 2021 PP_GR TOTAL THS_NAC 6
NO EXP_XEU 2021 PP_GR_NP TOTAL THS_NAC 6
NO EXP_XEU 2021 PP_GR_MC TOTAL THS_NAC 6
NO EXP_XEU 2021 PP_GR_NW TOTAL THS_NAC 126
NO EXP_XEU 2021 PP_GR_CO TOTAL THS_NAC 3052
NO EXP_XEU 2021 PP_HS TOTAL THS_NAC 572
NO EXP_XEU 2021 PP_PK TOTAL THS_NAC 430663
NO EXP_XEU 2021 PP_PK_CS TOTAL THS_NAC 26496
NO EXP_XEU 2021 PP_PK_CB TOTAL THS_NAC 710
NO EXP_XEU 2021 PP_PK_WR TOTAL THS_NAC 398220
NO EXP_XEU 2021 PP_PK_O TOTAL THS_NAC 5237
NO EXP_XEU 2021 PP_O TOTAL THS_NAC 7461
NO EXP_XEU 2021 GLT_CLT TOTAL THS_NAC
NO EXP_XEU 2021 GLT TOTAL THS_NAC
NO EXP_XEU 2021 CLT TOTAL THS_NAC
NO EXP_XEU 2021 I_BEAMS TOTAL THS_NAC
NO EXP_XEU 2022 RW TOTAL THS_M3 15.385
NO EXP_XEU 2022 RW_FW TOTAL THS_M3 0.06
NO EXP_XEU 2022 RW_FW CONIF THS_M3 0.06
NO EXP_XEU 2022 RW_FW NCONIF THS_M3 0
NO EXP_XEU 2022 RW_IN TOTAL THS_M3 15.325
NO EXP_XEU 2022 RW_IN CONIF THS_M3 15.314
NO EXP_XEU 2022 RW_IN NCONIF THS_M3 0.011
NO EXP_XEU 2022 RW_IN NC_TRO THS_M3 0.001
NO EXP_XEU 2022 CHA TOTAL THS_T 0.801
NO EXP_XEU 2022 CHP_RES TOTAL THS_M3 0.057
NO EXP_XEU 2022 CHP TOTAL THS_M3 0.02
NO EXP_XEU 2022 RES TOTAL THS_M3 0.037
NO EXP_XEU 2022 RES_SWD TOTAL THS_M3 0
NO EXP_XEU 2022 RCW TOTAL THS_T 0.018
NO EXP_XEU 2022 PEL_AGG TOTAL THS_T 0.011
NO EXP_XEU 2022 PEL TOTAL THS_T 0.001
NO EXP_XEU 2022 AGG TOTAL THS_T 0.01
NO EXP_XEU 2022 SN TOTAL THS_M3 182.188
NO EXP_XEU 2022 SN CONIF THS_M3 181.087
NO EXP_XEU 2022 SN NCONIF THS_M3 1.101
NO EXP_XEU 2022 SN NC_TRO THS_M3 0
NO EXP_XEU 2022 PN_VN TOTAL THS_M3 0.003
NO EXP_XEU 2022 PN_VN CONIF THS_M3 0
NO EXP_XEU 2022 PN_VN NCONIF THS_M3 0.003
NO EXP_XEU 2022 PN_VN NC_TRO THS_M3 0
NO EXP_XEU 2022 PN TOTAL THS_M3 17.032
NO EXP_XEU 2022 PN_PY TOTAL THS_M3 11.487
NO EXP_XEU 2022 PN_PY CONIF THS_M3 0.953
NO EXP_XEU 2022 PN_PY NCONIF THS_M3 10.534
NO EXP_XEU 2022 PN_PY NC_TRO THS_M3 2.963
NO EXP_XEU 2022 PN_PY_LVL TOTAL THS_M3 0.006
NO EXP_XEU 2022 PN_PY_LVL CONIF THS_M3 0.001
NO EXP_XEU 2022 PN_PY_LVL NCONIF THS_M3 0.005
NO EXP_XEU 2022 PN_PY_LVL NC_TRO THS_M3 0
NO EXP_XEU 2022 PN_PB TOTAL THS_M3 1.871
NO EXP_XEU 2022 PN_PB_OSB TOTAL THS_M3 0.001
NO EXP_XEU 2022 PN_FB TOTAL THS_M3 3.674
NO EXP_XEU 2022 PN_FB_HB TOTAL THS_M3 0.073
NO EXP_XEU 2022 PN_FB_MDF TOTAL THS_M3 0.62
NO EXP_XEU 2022 PN_FB_O TOTAL THS_M3 2.981
NO EXP_XEU 2022 PL TOTAL THS_T 6
NO EXP_XEU 2022 PL_MC_SCH TOTAL THS_T 35.016
NO EXP_XEU 2022 PL_CH TOTAL THS_T 6
NO EXP_XEU 2022 PL_CH_SA TOTAL THS_T 6
NO EXP_XEU 2022 PL_CH_SAB TOTAL THS_T 6
NO EXP_XEU 2022 PL_CH_SI TOTAL THS_T 0
NO EXP_XEU 2022 PL_DS TOTAL THS_T 59.206
NO EXP_XEU 2022 PLO TOTAL THS_T 0.099
NO EXP_XEU 2022 PLO_NW TOTAL THS_T 0.099
NO EXP_XEU 2022 PLO_RC TOTAL THS_T 0
NO EXP_XEU 2022 RCP TOTAL THS_T 35.988
NO EXP_XEU 2022 PP TOTAL THS_T 6
NO EXP_XEU 2022 PP_GR TOTAL THS_T 6
NO EXP_XEU 2022 PP_GR_NP TOTAL THS_T 6
NO EXP_XEU 2022 PP_GR_MC TOTAL THS_T 85.796
NO EXP_XEU 2022 PP_GR_NW TOTAL THS_T 0.006
NO EXP_XEU 2022 PP_GR_CO TOTAL THS_T 0.004
NO EXP_XEU 2022 PP_HS TOTAL THS_T 0.001
NO EXP_XEU 2022 PP_PK TOTAL THS_T 24.694
NO EXP_XEU 2022 PP_PK_CS TOTAL THS_T 2.743
NO EXP_XEU 2022 PP_PK_CB TOTAL THS_T 0.059
NO EXP_XEU 2022 PP_PK_WR TOTAL THS_T 21.444
NO EXP_XEU 2022 PP_PK_O TOTAL THS_T 0.448
NO EXP_XEU 2022 PP_O TOTAL THS_T 0.009
NO EXP_XEU 2022 GLT_CLT TOTAL THS_M3 0.002
NO EXP_XEU 2022 GLT TOTAL THS_M3 0.002
NO EXP_XEU 2022 CLT TOTAL THS_M3 0
NO EXP_XEU 2022 I_BEAMS TOTAL THS_T 0
NO EXP_XEU 2022 RW TOTAL THS_NAC 75433
NO EXP_XEU 2022 RW_FW TOTAL THS_NAC 1752
NO EXP_XEU 2022 RW_FW CONIF THS_NAC 1752
NO EXP_XEU 2022 RW_FW NCONIF THS_NAC 0
NO EXP_XEU 2022 RW_IN TOTAL THS_NAC 73681
NO EXP_XEU 2022 RW_IN CONIF THS_NAC 73596
NO EXP_XEU 2022 RW_IN NCONIF THS_NAC 85
NO EXP_XEU 2022 RW_IN NC_TRO THS_NAC 5
NO EXP_XEU 2022 CHA TOTAL THS_NAC 6678
NO EXP_XEU 2022 CHP_RES TOTAL THS_NAC 154
NO EXP_XEU 2022 CHP TOTAL THS_NAC 108
NO EXP_XEU 2022 RES TOTAL THS_NAC 46
NO EXP_XEU 2022 RES_SWD TOTAL THS_NAC 0
NO EXP_XEU 2022 RCW TOTAL THS_NAC 46
NO EXP_XEU 2022 PEL_AGG TOTAL THS_NAC 34
NO EXP_XEU 2022 PEL TOTAL THS_NAC 12
NO EXP_XEU 2022 AGG TOTAL THS_NAC 22
NO EXP_XEU 2022 SN TOTAL THS_NAC 605194
NO EXP_XEU 2022 SN CONIF THS_NAC 600986
NO EXP_XEU 2022 SN NCONIF THS_NAC 4208
NO EXP_XEU 2022 SN NC_TRO THS_NAC 0
NO EXP_XEU 2022 PN_VN TOTAL THS_NAC 25
NO EXP_XEU 2022 PN_VN CONIF THS_NAC 0
NO EXP_XEU 2022 PN_VN NCONIF THS_NAC 25
NO EXP_XEU 2022 PN_VN NC_TRO THS_NAC 0
NO EXP_XEU 2022 PN TOTAL THS_NAC 173486
NO EXP_XEU 2022 PN_PY TOTAL THS_NAC 114294
NO EXP_XEU 2022 PN_PY CONIF THS_NAC 6038
NO EXP_XEU 2022 PN_PY NCONIF THS_NAC 108256
NO EXP_XEU 2022 PN_PY NC_TRO THS_NAC 4179
NO EXP_XEU 2022 PN_PY_LVL TOTAL THS_NAC 15
NO EXP_XEU 2022 PN_PY_LVL CONIF THS_NAC 2
NO EXP_XEU 2022 PN_PY_LVL NCONIF THS_NAC 13
NO EXP_XEU 2022 PN_PY_LVL NC_TRO THS_NAC 0
NO EXP_XEU 2022 PN_PB TOTAL THS_NAC 15085
NO EXP_XEU 2022 PN_PB_OSB TOTAL THS_NAC 12
NO EXP_XEU 2022 PN_FB TOTAL THS_NAC 44093
NO EXP_XEU 2022 PN_FB_HB TOTAL THS_NAC 489
NO EXP_XEU 2022 PN_FB_MDF TOTAL THS_NAC 10398
NO EXP_XEU 2022 PN_FB_O TOTAL THS_NAC 33205
NO EXP_XEU 2022 PL TOTAL THS_NAC 6
NO EXP_XEU 2022 PL_MC_SCH TOTAL THS_NAC 199933
NO EXP_XEU 2022 PL_CH TOTAL THS_NAC 6
NO EXP_XEU 2022 PL_CH_SA TOTAL THS_NAC 6
NO EXP_XEU 2022 PL_CH_SAB TOTAL THS_NAC 6
NO EXP_XEU 2022 PL_CH_SI TOTAL THS_NAC 0
NO EXP_XEU 2022 PL_DS TOTAL THS_NAC 873463
NO EXP_XEU 2022 PLO TOTAL THS_NAC 49050
NO EXP_XEU 2022 PLO_NW TOTAL THS_NAC 49050
NO EXP_XEU 2022 PLO_RC TOTAL THS_NAC 0
NO EXP_XEU 2022 RCP TOTAL THS_NAC 79050
NO EXP_XEU 2022 PP TOTAL THS_NAC 6
NO EXP_XEU 2022 PP_GR TOTAL THS_NAC 6
NO EXP_XEU 2022 PP_GR_NP TOTAL THS_NAC 6
NO EXP_XEU 2022 PP_GR_MC TOTAL THS_NAC 736806
NO EXP_XEU 2022 PP_GR_NW TOTAL THS_NAC 581
NO EXP_XEU 2022 PP_GR_CO TOTAL THS_NAC 682
NO EXP_XEU 2022 PP_HS TOTAL THS_NAC 178
NO EXP_XEU 2022 PP_PK TOTAL THS_NAC 576342
NO EXP_XEU 2022 PP_PK_CS TOTAL THS_NAC 20870
NO EXP_XEU 2022 PP_PK_CB TOTAL THS_NAC 2725
NO EXP_XEU 2022 PP_PK_WR TOTAL THS_NAC 549241
NO EXP_XEU 2022 PP_PK_O TOTAL THS_NAC 3505
NO EXP_XEU 2022 PP_O TOTAL THS_NAC 825
NO EXP_XEU 2022 GLT_CLT TOTAL THS_NAC 32
NO EXP_XEU 2022 GLT TOTAL THS_NAC 32
NO EXP_XEU 2022 CLT TOTAL THS_NAC 0
NO EXP_XEU 2022 I_BEAMS TOTAL THS_NAC 0
NO IMP 2021 SW TOTAL THS_NAC 19155495
NO IMP 2021 SW_SN TOTAL THS_NAC 1232968
NO IMP 2021 SW_SN CONIF THS_NAC 1029020
NO IMP 2021 SW_SN NCONIF THS_NAC 203948
NO IMP 2021 SW_SN NC_TRO THS_NAC 3063
NO IMP 2021 SW_WR TOTAL THS_NAC 729397
NO IMP 2021 SW_DM TOTAL THS_NAC 364485
NO IMP 2021 SW_JN TOTAL THS_NAC 4753257
NO IMP 2021 SW_FU TOTAL THS_NAC 9070997
NO IMP 2021 SW_BL_W TOTAL THS_NAC 2418212
NO IMP 2021 SW_O TOTAL THS_NAC 586179
NO IMP 2021 SP TOTAL THS_NAC 5155601
NO IMP 2021 SP_CM TOTAL THS_NAC 76068
NO IMP 2021 SP_SCO TOTAL THS_NAC 416028
NO IMP 2021 SP_HS TOTAL THS_NAC 2292906
NO IMP 2021 SP_PK TOTAL THS_NAC 1610745
NO IMP 2021 SP_O TOTAL THS_NAC 759854
NO IMP 2021 SP_O_PR TOTAL THS_NAC 141570
NO IMP 2021 SP_O_AR TOTAL THS_NAC 149230
NO IMP 2021 SP_O_FL TOTAL THS_NAC 37526
NO IMP 2022 SW TOTAL THS_NAC 20088819
NO IMP 2022 SW_SN TOTAL THS_NAC 1132415
NO IMP 2022 SW_SN CONIF THS_NAC 923287
NO IMP 2022 SW_SN NCONIF THS_NAC 209128
NO IMP 2022 SW_SN NC_TRO THS_NAC 7016
NO IMP 2022 SW_WR TOTAL THS_NAC 928713
NO IMP 2022 SW_DM TOTAL THS_NAC 392789
NO IMP 2022 SW_JN TOTAL THS_NAC 4440796
NO IMP 2022 SW_FU TOTAL THS_NAC 9730798
NO IMP 2022 SW_BL_W TOTAL THS_NAC 2890900
NO IMP 2022 SW_O TOTAL THS_NAC 572408
NO IMP 2022 SP TOTAL THS_NAC 5991198
NO IMP 2022 SP_CM TOTAL THS_NAC 78175
NO IMP 2022 SP_SCO TOTAL THS_NAC 457398
NO IMP 2022 SP_HS TOTAL THS_NAC 2682106
NO IMP 2022 SP_PK TOTAL THS_NAC 1945704
NO IMP 2022 SP_O TOTAL THS_NAC 827815
NO IMP 2022 SP_O_PR TOTAL THS_NAC 190009
NO IMP 2022 SP_O_AR TOTAL THS_NAC 229285
NO IMP 2022 SP_O_FL TOTAL THS_NAC 42308
NO EXP 2021 SW TOTAL THS_NAC 2407555
NO EXP 2021 SW_SN TOTAL THS_NAC 185000
NO EXP 2021 SW_SN CONIF THS_NAC 178400
NO EXP 2021 SW_SN NCONIF THS_NAC 6600
NO EXP 2021 SW_SN NC_TRO THS_NAC 68
NO EXP 2021 SW_WR TOTAL THS_NAC 287669
NO EXP 2021 SW_DM TOTAL THS_NAC 9614
NO EXP 2021 SW_JN TOTAL THS_NAC 327845
NO EXP 2021 SW_FU TOTAL THS_NAC 1320429
NO EXP 2021 SW_BL_W TOTAL THS_NAC 207942
NO EXP 2021 SW_O TOTAL THS_NAC 69056
NO EXP 2021 SP TOTAL THS_NAC 647311
NO EXP 2021 SP_CM TOTAL THS_NAC 20
NO EXP 2021 SP_SCO TOTAL THS_NAC 11896
NO EXP 2021 SP_HS TOTAL THS_NAC 293660
NO EXP 2021 SP_PK TOTAL THS_NAC 282421
NO EXP 2021 SP_O TOTAL THS_NAC 59314
NO EXP 2021 SP_O_PR TOTAL THS_NAC 8985
NO EXP 2021 SP_O_AR TOTAL THS_NAC 2931
NO EXP 2021 SP_O_FL TOTAL THS_NAC 207
NO EXP 2022 SW TOTAL THS_NAC 2412548
NO EXP 2022 SW_SN TOTAL THS_NAC 202836
NO EXP 2022 SW_SN CONIF THS_NAC 188891
NO EXP 2022 SW_SN NCONIF THS_NAC 13945
NO EXP 2022 SW_SN NC_TRO THS_NAC 267
NO EXP 2022 SW_WR TOTAL THS_NAC 348042
NO EXP 2022 SW_DM TOTAL THS_NAC 9021
NO EXP 2022 SW_JN TOTAL THS_NAC 339705
NO EXP 2022 SW_FU TOTAL THS_NAC 1261956
NO EXP 2022 SW_BL_W TOTAL THS_NAC 146006
NO EXP 2022 SW_O TOTAL THS_NAC 104982
NO EXP 2022 SP TOTAL THS_NAC 5991198
NO EXP 2022 SP_CM TOTAL THS_NAC 1007
NO EXP 2022 SP_SCO TOTAL THS_NAC 8342
NO EXP 2022 SP_HS TOTAL THS_NAC 302878
NO EXP 2022 SP_PK TOTAL THS_NAC 353378
NO EXP 2022 SP_O TOTAL THS_NAC 69736
NO EXP 2022 SP_O_PR TOTAL THS_NAC 4878
NO EXP 2022 SP_O_AR TOTAL THS_NAC 5539
NO EXP 2022 SP_O_FL TOTAL THS_NAC 257
NO IMP 2021 ST_1_2 CONIF THS_M3 349.094
NO IMP 2021 ST_1_2 C_PIN THS_M3 36.165
NO IMP 2021 ST_1_2_1 C_PIN THS_M3 33.432
NO IMP 2021 ST_1_2_2 C_PIN THS_M3 2.733
NO IMP 2021 ST_1_2 C_FIR THS_M3 302.726
NO IMP 2021 ST_1_2_1 C_FIR THS_M3 136.674
NO IMP 2021 ST_1_2_2 C_FIR THS_M3 166.052
NO IMP 2021 ST_1_2 NCONIF THS_M3 0.274
NO IMP 2021 ST_1_2 NC_OAK THS_M3 0.094
NO IMP 2021 ST_1_2 NC_BEE THS_M3 0.015
NO IMP 2021 ST_1_2 NC_BIR THS_M3 0.095
NO IMP 2021 ST_1_2_1 NC_BIR THS_M3 0
NO IMP 2021 ST_1_2_2 NC_BIR THS_M3 0.095
NO IMP 2021 ST_1_2 NC_POP THS_M3 0.003
NO IMP 2021 ST_1_2 NC_EUC THS_M3 0
NO IMP 2021 ST_6 CONIF THS_M3 1080.337
NO IMP 2021 ST_6 C_PIN THS_M3 442.251 ERROR:#REF!
NO IMP 2021 ST_6 C_FIR THS_M3 623.612 ERROR:#REF!
NO IMP 2021 ST_6 NCONIF THS_M3 27.157
NO IMP 2021 ST_6 NC_OAK THS_M3 13.608
NO IMP 2021 ST_6 NC_BEE THS_M3 0.535
NO IMP 2021 ST_6 NC_MAP THS_M3 0.016
NO IMP 2021 ST_6 NC_CHE THS_M3 0.003
NO IMP 2021 ST_6 NC_ASH THS_M3 0.981
NO IMP 2021 ST_6 NC_BIR THS_M3 0.708
NO IMP 2021 ST_6 NC_POP THS_M3 1.935
NO IMP 2021 ST_1_2 CONIF THS_NAC 262026
NO IMP 2021 ST_1_2 C_PIN THS_NAC 36912
NO IMP 2021 ST_1_2_1 C_PIN THS_NAC 21035
NO IMP 2021 ST_1_2_2 C_PIN THS_NAC 15877
NO IMP 2021 ST_1_2 C_FIR THS_NAC 184233
NO IMP 2021 ST_1_2_1 C_FIR THS_NAC 99215
NO IMP 2021 ST_1_2_2 C_FIR THS_NAC 85018
NO IMP 2021 ST_1_2 NCONIF THS_NAC 1980
NO IMP 2021 ST_1_2 NC_OAK THS_NAC 1017
NO IMP 2021 ST_1_2 NC_BEE THS_NAC 126
NO IMP 2021 ST_1_2 NC_BIR THS_NAC 167
NO IMP 2021 ST_1_2_1 NC_BIR THS_NAC 0
NO IMP 2021 ST_1_2_2 NC_BIR THS_NAC 167
NO IMP 2021 ST_1_2 NC_POP THS_NAC 7
NO IMP 2021 ST_1_2 NC_EUC THS_NAC 0
NO IMP 2021 ST_6 CONIF THS_NAC 4963124
NO IMP 2021 ST_6 C_PIN THS_NAC 2065889 ERROR:#REF!
NO IMP 2021 ST_6 C_FIR THS_NAC 2858564 ERROR:#REF!
NO IMP 2021 ST_6 NCONIF THS_NAC 379660
NO IMP 2021 ST_6 NC_OAK THS_NAC 212718
NO IMP 2021 ST_6 NC_BEE THS_NAC 4716
NO IMP 2021 ST_6 NC_MAP THS_NAC 155
NO IMP 2021 ST_6 NC_CHE THS_NAC 31
NO IMP 2021 ST_6 NC_ASH THS_NAC 11944
NO IMP 2021 ST_6 NC_BIR THS_NAC 5651
NO IMP 2021 ST_6 NC_POP THS_NAC 11982
NO IMP 2022 ST_1_2 CONIF THS_M3 373.677
NO IMP 2022 ST_1_2 C_PIN THS_M3 40.241
NO IMP 2022 ST_1_2_1 C_PIN THS_M3 17.289
NO IMP 2022 ST_1_2_2 C_PIN THS_M3 22.655
NO IMP 2022 ST_1_2 C_FIR THS_M3 320.163
NO IMP 2022 ST_1_2_1 C_FIR THS_M3 92.919
NO IMP 2022 ST_1_2_2 C_FIR THS_M3 227.085
NO IMP 2022 ST_1_2 NCONIF THS_M3 10.691
NO IMP 2022 ST_1_2 NC_OAK THS_M3 0.14
NO IMP 2022 ST_1_2 NC_BEE THS_M3 0.005
NO IMP 2022 ST_1_2 NC_BIR THS_M3 10.118
NO IMP 2022 ST_1_2_1 NC_BIR THS_M3 0
NO IMP 2022 ST_1_2_2 NC_BIR THS_M3 10.118
NO IMP 2022 ST_1_2 NC_POP THS_M3 0.003
NO IMP 2022 ST_1_2 NC_EUC THS_M3 0
NO IMP 2022 ST_6 CONIF THS_M3 834.703
NO IMP 2022 ST_6 C_PIN THS_M3 454.656
NO IMP 2022 ST_6 C_FIR THS_M3 362.825
NO IMP 2022 ST_6 NCONIF THS_M3 27.68
NO IMP 2022 ST_6 NC_OAK THS_M3 15.179
NO IMP 2022 ST_6 NC_BEE THS_M3 0.742
NO IMP 2022 ST_6 NC_MAP THS_M3 0.017
NO IMP 2022 ST_6 NC_CHE THS_M3 0.009
NO IMP 2022 ST_6 NC_ASH THS_M3 0.883
NO IMP 2022 ST_6 NC_BIR THS_M3 2.174
NO IMP 2022 ST_6 NC_POP THS_M3 0.38
NO IMP 2022 ST_1_2 CONIF THS_NAC 374500
NO IMP 2022 ST_1_2 C_PIN THS_NAC 132212
NO IMP 2022 ST_1_2_1 C_PIN THS_NAC 11247
NO IMP 2022 ST_1_2_2 C_PIN THS_NAC 119639
NO IMP 2022 ST_1_2 C_FIR THS_NAC 190356
NO IMP 2022 ST_1_2_1 C_FIR THS_NAC 72728
NO IMP 2022 ST_1_2_2 C_FIR THS_NAC 117250
NO IMP 2022 ST_1_2 NCONIF THS_NAC 16648
NO IMP 2022 ST_1_2 NC_OAK THS_NAC 1055
NO IMP 2022 ST_1_2 NC_BEE THS_NAC 19
NO IMP 2022 ST_1_2 NC_BIR THS_NAC 13122
NO IMP 2022 ST_1_2_1 NC_BIR THS_NAC 0
NO IMP 2022 ST_1_2_2 NC_BIR THS_NAC 13122
NO IMP 2022 ST_1_2 NC_POP THS_NAC 12
NO IMP 2022 ST_1_2 NC_EUC THS_NAC 0
NO IMP 2022 ST_6 CONIF THS_NAC 3959837
NO IMP 2022 ST_6 C_PIN THS_NAC 2201159
NO IMP 2022 ST_6 C_FIR THS_NAC 1666775
NO IMP 2022 ST_6 NCONIF THS_NAC 348819
NO IMP 2022 ST_6 NC_OAK THS_NAC 233051
NO IMP 2022 ST_6 NC_BEE THS_NAC 4441
NO IMP 2022 ST_6 NC_MAP THS_NAC 236
NO IMP 2022 ST_6 NC_CHE THS_NAC 96
NO IMP 2022 ST_6 NC_ASH THS_NAC 12788
NO IMP 2022 ST_6 NC_BIR THS_NAC 14440
NO IMP 2022 ST_6 NC_POP THS_NAC 4717
NO EXP 2021 ST_1_2 CONIF THS_M3 3674.546
NO EXP 2021 ST_1_2 C_PIN THS_M3 1757.907
NO EXP 2021 ST_1_2_1 C_PIN THS_M3 450.673
NO EXP 2021 ST_1_2_2 C_PIN THS_M3 1307.234
NO EXP 2021 ST_1_2 C_FIR THS_M3 1902.23
NO EXP 2021 ST_1_2_1 C_FIR THS_M3 1392.824
NO EXP 2021 ST_1_2_2 C_FIR THS_M3 509.406
NO EXP 2021 ST_1_2 NCONIF THS_M3 198.856
NO EXP 2021 ST_1_2 NC_OAK THS_M3 0.232
NO EXP 2021 ST_1_2 NC_BEE THS_M3 0
NO EXP 2021 ST_1_2 NC_BIR THS_M3 194.698
NO EXP 2021 ST_1_2_1 NC_BIR THS_M3 0
NO EXP 2021 ST_1_2_2 NC_BIR THS_M3 194.698
NO EXP 2021 ST_1_2 NC_POP THS_M3 0.145
NO EXP 2021 ST_1_2 NC_EUC THS_M3 0
NO EXP 2021 ST_6 CONIF THS_M3 695.72
NO EXP 2021 ST_6 C_PIN THS_M3 197.806
NO EXP 2021 ST_6 C_FIR THS_M3 487.523
NO EXP 2021 ST_6 NCONIF THS_M3 7.409
NO EXP 2021 ST_6 NC_OAK THS_M3 0.496
NO EXP 2021 ST_6 NC_BEE THS_M3 0.111
NO EXP 2021 ST_6 NC_MAP THS_M3 0.064
NO EXP 2021 ST_6 NC_CHE THS_M3 0.001
NO EXP 2021 ST_6 NC_ASH THS_M3 0.023
NO EXP 2021 ST_6 NC_BIR THS_M3 0.138
NO EXP 2021 ST_6 NC_POP THS_M3 0.004
NO EXP 2021 ST_1_2 CONIF THS_NAC 2288469
NO EXP 2021 ST_1_2 C_PIN THS_NAC 1235268
NO EXP 2021 ST_1_2_1 C_PIN THS_NAC 216906
NO EXP 2021 ST_1_2_2 C_PIN THS_NAC 1018362
NO EXP 2021 ST_1_2 C_FIR THS_NAC 1004406
NO EXP 2021 ST_1_2_1 C_FIR THS_NAC 612994
NO EXP 2021 ST_1_2_2 C_FIR THS_NAC 391412
NO EXP 2021 ST_1_2 NCONIF THS_NAC 81153
NO EXP 2021 ST_1_2 NC_OAK THS_NAC 191
NO EXP 2021 ST_1_2 NC_BEE THS_NAC 0
NO EXP 2021 ST_1_2 NC_BIR THS_NAC 78169
NO EXP 2021 ST_1_2_1 NC_BIR THS_NAC 0
NO EXP 2021 ST_1_2_2 NC_BIR THS_NAC 78169
NO EXP 2021 ST_1_2 NC_POP THS_NAC 102
NO EXP 2021 ST_1_2 NC_EUC THS_NAC 0
NO EXP 2021 ST_6 CONIF THS_NAC 1974638
NO EXP 2021 ST_6 C_PIN THS_NAC 579955
NO EXP 2021 ST_6 C_FIR THS_NAC 1386289
NO EXP 2021 ST_6 NCONIF THS_NAC 47723
NO EXP 2021 ST_6 NC_OAK THS_NAC 5935
NO EXP 2021 ST_6 NC_BEE THS_NAC 120
NO EXP 2021 ST_6 NC_MAP THS_NAC 2400
NO EXP 2021 ST_6 NC_CHE THS_NAC 2
NO EXP 2021 ST_6 NC_ASH THS_NAC 317
NO EXP 2021 ST_6 NC_BIR THS_NAC 288
NO EXP 2021 ST_6 NC_POP THS_NAC 65
NO EXP 2022 ST_1_2 CONIF THS_M3 4145.851
NO EXP 2022 ST_1_2 C_PIN THS_M3 2115.394
NO EXP 2022 ST_1_2_1 C_PIN THS_M3 657.412
NO EXP 2022 ST_1_2_2 C_PIN THS_M3 1457.528
NO EXP 2022 ST_1_2 C_FIR THS_M3 2013.193
NO EXP 2022 ST_1_2_1 C_FIR THS_M3 1503.176
NO EXP 2022 ST_1_2_2 C_FIR THS_M3 508.917
NO EXP 2022 ST_1_2 NCONIF THS_M3 123.221
NO EXP 2022 ST_1_2 NC_OAK THS_M3 0.267
NO EXP 2022 ST_1_2 NC_BEE THS_M3 0.002
NO EXP 2022 ST_1_2 NC_BIR THS_M3 117.506
NO EXP 2022 ST_1_2_1 NC_BIR THS_M3 0
NO EXP 2022 ST_1_2_2 NC_BIR THS_M3 117.506
NO EXP 2022 ST_1_2 NC_POP THS_M3 1.753
NO EXP 2022 ST_1_2 NC_EUC THS_M3 0
NO EXP 2022 ST_6 CONIF THS_M3 857.447
NO EXP 2022 ST_6 C_PIN THS_M3 236.903
NO EXP 2022 ST_6 C_FIR THS_M3 612.781
NO EXP 2022 ST_6 NCONIF THS_M3 4.66
NO EXP 2022 ST_6 NC_OAK THS_M3 0.574
NO EXP 2022 ST_6 NC_BEE THS_M3 0.309
NO EXP 2022 ST_6 NC_MAP THS_M3 0.227
NO EXP 2022 ST_6 NC_CHE THS_M3 0.001
NO EXP 2022 ST_6 NC_ASH THS_M3 0.036
NO EXP 2022 ST_6 NC_BIR THS_M3 0.018
NO EXP 2022 ST_6 NC_POP THS_M3 0.002
NO EXP 2022 ST_1_2 CONIF THS_NAC 2944922
NO EXP 2022 ST_1_2 C_PIN THS_NAC 1240578
NO EXP 2022 ST_1_2_1 C_PIN THS_NAC 588395
NO EXP 2022 ST_1_2_2 C_PIN THS_NAC 594925
NO EXP 2022 ST_1_2 C_FIR THS_NAC 1627805
NO EXP 2022 ST_1_2_1 C_FIR THS_NAC 1339850
NO EXP 2022 ST_1_2_2 C_FIR THS_NAC 286876
NO EXP 2022 ST_1_2 NCONIF THS_NAC 54216
NO EXP 2022 ST_1_2 NC_OAK THS_NAC 246
NO EXP 2022 ST_1_2 NC_BEE THS_NAC 20
NO EXP 2022 ST_1_2 NC_BIR THS_NAC 51092
NO EXP 2022 ST_1_2_1 NC_BIR THS_NAC 0
NO EXP 2022 ST_1_2_2 NC_BIR THS_NAC 51092
NO EXP 2022 ST_1_2 NC_POP THS_NAC 881
NO EXP 2022 ST_1_2 NC_EUC THS_NAC 0
NO EXP 2022 ST_6 CONIF THS_NAC 2416842
NO EXP 2022 ST_6 C_PIN THS_NAC 673792
NO EXP 2022 ST_6 C_FIR THS_NAC 1720514
NO EXP 2022 ST_6 NCONIF THS_NAC 18288
NO EXP 2022 ST_6 NC_OAK THS_NAC 5146
NO EXP 2022 ST_6 NC_BEE THS_NAC 34
NO EXP 2022 ST_6 NC_MAP THS_NAC 140
NO EXP 2022 ST_6 NC_CHE THS_NAC 2
NO EXP 2022 ST_6 NC_ASH THS_NAC 818
NO EXP 2022 ST_6 NC_BIR THS_NAC 534
NO EXP 2022 ST_6 NC_POP THS_NAC 38
NO PRD 2021 EU2_1 TOTAL THS_M3 13157.1522522727
NO PRD 2021 EU2_1 CONIF THS_M3 11766.8133820557
NO PRD 2021 EU2_1 NCONIF THS_M3 1390.339225
NO PRD 2021 EU2_1_1 TOTAL THS_M3 473.6574810818 9
NO PRD 2021 EU2_1_1 CONIF THS_M3 468.920906271 9
NO PRD 2021 EU2_1_1 NCONIF THS_M3 4.7365748108 9
NO PRD 2021 EU2_1_2 TOTAL THS_M3 631.5433081091 9
NO PRD 2021 EU2_1_2 CONIF THS_M3 606.2815757847 9
NO PRD 2021 EU2_1_2 NCONIF THS_M3 25.2617323244 9
NO PRD 2021 EU2_1_3 TOTAL THS_M3 12051.9514630818 9
NO PRD 2021 EU2_1_3 CONIF THS_M3 10691.6109 9
NO PRD 2021 EU2_1_3 NCONIF THS_M3 1360.339 9
NO PRD 2022 EU2_1 TOTAL THS_M3 13222.0222522727
NO PRD 2022 EU2_1 CONIF THS_M3 11917.3353865941
NO PRD 2022 EU2_1 NCONIF THS_M3 1304.687225
NO PRD 2022 EU2_1_1 TOTAL THS_M3 479.3641570777 9
NO PRD 2022 EU2_1_1 CONIF THS_M3 474.9193794761 9
NO PRD 2022 EU2_1_1 NCONIF THS_M3 4.4447776016 9
NO PRD 2022 EU2_1_2 TOTAL THS_M3 637.7426580464 9
NO PRD 2022 EU2_1_2 CONIF THS_M3 614.0371775045 9
NO PRD 2022 EU2_1_2 NCONIF THS_M3 23.705480542 9
NO PRD 2022 EU2_1_3 TOTAL THS_M3 12104.9149967554 9
NO PRD 2022 EU2_1_3 CONIF THS_M3 10828.3788296135 9
NO PRD 2022 EU2_1_3 NCONIF THS_M3 1276.5361671419 9