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Elisabeth Türk bio

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English

Working Party on Regulatory Cooperation and Standardization Policies (WP.6)

ELISABETH TÜRK

DIRECTOR

ECONOMIC COOPERATION AND TRADE DIVISION UNECE

Ms. Türk is Director of the Economic Cooperation and Trade Division (ECTD) at UNECE and leads the Division’s work across its four Sections: Cooperation and Partnerships, Innovative Policies Development, Market Access and Trade Facilitation. The Division works to support closer economic relations among UNECE’s 56 member States in the pursuit of the UN Sustainable Development Goals (SDGs) and the 2030 Agenda. Prior to that, Ms. Türk acted as Chief of the Section on International Investment Agreements (IIAs) in UNCTAD’s Division on Investment and Enterprise (DIAE), where she led the Section's work across the three pillars of UNCTAD activities: research and analysis, capacity-building and consensus-building. Ms. Türk’s earlier professional activities included functions in UNCTAD’s Division on International Trade and Commodities (DITC), covering e.g. WTO accessions and GATS negotiations, in the Geneva office of the Center for International Environmental Law (CIEL) and in the World Trade Organization (WTO).

SPEAKER BIOGRAPHY

WP.6 3rd Forum Green, digital transformation

Green, digital transformation & risk management 2 April & gender considerations 3 April & market surveillance 4 April

2-4 April 2024 14:00 – 17:30

Conference, Geneva Palais des Nations H207-209 & hybrid

Lance Thompson bio

Languages and translations
English

Working Party on Regulatory Cooperation and Standardization Policies (WP.6)

LANCE THOMPSON

SECRETARY / ECONOMIC AFFAIRS OFFICER

WP.6, UNECE

Having lived and worked in the United States, France and Japan, Lance Thompson joined the United Nations in 2017. He has a doctorate in social anthropology at the Sorbonne and an MBA specialized in International Business where he finished as valedictorian. In his past career in the private sector, he has worked extensively with standards and cooperation with government bodies, especially customs agencies from around the world. He has held key positions within the UN Centre for Trade Facilitation and Electronic Business (UN/CEFACT), the World Customs Organization’s Data Model Project Team and the French Trade Facilitation organization ODASCE. In his role as Secretary to the Working Party on Regulatory Cooperation and Standardization Policies (WP.6), Lance Thompson actively seeks opportunities for cooperation between government agencies to reduce technical barriers to trade and ensure a smooth flow of cross-border movement of goods. He is engaged in all areas of the Working Party from market surveillance and risk management to education on standardization and gender-responsive standards.

SPEAKER BIOGRAPHY

WP.6 3rd Forum Green, digital transformation

Green, digital transformation & risk management 2 April & gender considerations 3 April & market surveillance 4 April

2-4 April 2024 14:00 – 17:30

Conference, Geneva Palais des Nations H207-209 & hybrid

(Switzerland) Regulating automated driving in Switzerland

Languages and translations
English

Federal Department of the Environment, Transport,

Energy and Communications DETEC

Federal Roads Office FEDRO

Road Traffic Division

Regulating automated driving in Switzerland

Informal document GRVA-18-13

18th GRVA, 22-26 January 2024

Provisional agenda item 11

Submitted by the expert of Switzerland – Armin Jost

Federal Roads Office FEDRO

• It is currently possible to obtain an authorization on exceptional basis for

automated driving from the Swiss Federal Department of the Environment,

Transport, Energy and Communications DETEC.

• The authorizations are issued for pilot trials with a safety driver who is

present.

• Further information can be found on the FEDRO Intelligent Mobility website

→ Fact sheet for conducting pilot tests in Switzerland (PDF download)

Automated driving in Switzerland

Current options for automated driving

Federal Roads Office FEDRO

• On 17 March 2023, as part of a revision of the federal road traffic act, Parliament

granted the Federal Council the power to regulate automated driving.

• The government is currently preparing regulations on automated driving.

• Public consultation is ongoing until February 2nd → see last slide for links.

• The regulations are expected to enter into force in early 2025.

• In addition, Parliament has granted the Federal Roads Office FEDRO the power

to authorize pilot trials.

Automated driving in Switzerland

Options for automated driving from 2025

Federal Roads Office FEDRO

Driver has practically

full control Driver controls either

longitudinal or

latitudinal movement

Driver monitors road

situation

Driver ready to take

back control

Driverless in certain

situations

Vehicle performs all

driving tasks

Vehicle controls other

functions

Vehicle controls

longitudinal and

latitudinal movement

in certain situations

Vehicle controls

longitudinal and

latitudinal movement

in many situations;

vehicle warns driver in

good time

Vehicle controls

longitudinal and

latitudinal movement

in many situations;

vehicle can restore risk-

minimising status

Conventional Assisted Partially automated Conditionally automated Highly automated Fully automated

Automated driving in Switzerland

What does the new regulation cover?

Already permitted today

(with hands on steering wheel)

Subject of revision of

Road Traffic Act

Future

Federal Roads Office FEDRO

The new regulations are intended to cover the following types of vehicles equipped

with an Automated Driving System (ADS):

• ‘Vehicle with takeover request’ – Vehicles that still require a driver but can

cover certain sections of a route in automated mode (e.g. UN-R157).

• ‘Driverless vehicles’ – Vehicles without a driver that can cover certain routes

which have been authorized in advance.

• ‘Vehicles with an automated parking system’ – (Dual Mode) Vehicles that can

park without a driver in parking spaces which have been authorized in

advance.

The vehicles can be used commercially and they can be intended for the

transportation of persons or goods.

Automated driving in Switzerland

Options for automated driving from 2025

Federal Roads Office FEDRO

• Driverless vehicles must be type-approved (in principle).

• The type approval procedure is prescribed by Regulation (EU) 2018/858.

• As part of the type approval process for a driverless vehicle, it must be

demonstrated that the specific requirements of Regulation (EU) 2019/2144 and

Implementing Regulation (EU) 2022/1426 are met.

Including CSMS (UN-R155), SUMS (UN-R156) and ISMR

• The legal structure is open to supplementation by future UN regulations for ADS.

• The type approval must be obtained from a member state of the EU (or from a

CP of the 1958 Agreement) and must explicitly cover Switzerland as well.

• It is not possible to obtain a type approval in Switzerland in the foreseeable

future.

Automated driving in Switzerland

Driverless vehicles with type approval

Federal Roads Office FEDRO

• The Federal Roads Office FEDRO has the power to authorize ADS of

driverless vehicles which are not type-approved.

• Applicants must prove on a case-by-case basis that a certain safety level

is guaranteed and a detailed ODD description is present. The safety level

must be equal to the one guaranteed by a type-approval procedure.

• With exceptional authorization for the ADS, the vehicle may finally be

registered under the normal procedure and may be used commercially.

Automated driving in Switzerland

Driverless vehicles with exceptional authorisation (without type approval)

Federal Roads Office FEDRO

• The operational area for driverless vehicles must be authorized in

advance of the registration procedure. It can include highways, urban and

non-urban areas.

• Driverless vehicles may only operate on specified routes, but the

authorization does not have to be limited to a few streets. It can include a

large number of routes or even all routes in a certain area.

• Applicants must assess and confirm that all routes applied for are within

the ADS boundaries and the authorization requirements are met.

• Restrictions on the requested operational area may result from the ODD

or the operating concept of the vehicle keeper.

Automated driving in Switzerland

Operational area for driverless vehicles

Federal Roads Office FEDRO

Authorization requirements:

• Vehicles must be able to drive themselves autonomously in the

operational area.

• Infrastructure for the relevant route must meet the technical requirements

for the operation of driverless vehicles.

• Operating driverless vehicles shall not disrupt traffic or cause congestion.

• Road safety shall not be compromised.

• All duties of a regular driver must still be fulfilled.

Automated driving in Switzerland

Assessment of the operational area for driverless vehicles

Federal Roads Office FEDRO

Authorization requirements:

• Suitably qualified operators supervise the vehicle. They have access to

the required data and information on how the vehicle is operating at all

times and have suitably equipped workstations.

• An operator may supervise several vehicles at the same time and does

not have to be near the vehicle. However, his or her place of work

must be in Switzerland.

• Communication between operators and passengers in the vehicle is

guaranteed at all times via audio-visual interface.

• If necessary, the authority may specify additional requirements due to

local conditions (e.g. relatively slow vehicles may only operate outside

the rush hour).

Automated driving in Switzerland

Assessment of the operational area for driverless vehicles

Federal Roads Office FEDRO

The same insurance regulations apply to driverless vehicles as to normal vehicles:

• In order to register a vehicle, the vehicle keeper must take out a third party

liability insurance that covers any damage caused by the vehicle.

• Parties suffering damage have the right to file a claim directly against the

insurance company under the contractual insurance cover.

• In certain circumstances, the insurance company has a right of recourse against

the party who caused the damage.

Automated driving in Switzerland

Insurance

Federal Roads Office FEDRO

The Federal Roads Office FEDRO may authorize pilot trials.

• Authorization for a pilot trial is required if a normal registration procedure

is not possible.

• In the course of a trial, it is permitted to not comply with the legal

requirements. However, road safety must be guaranteed at all times.

• Measures must be taken to limit the risks associated with a trial.

• There are strict reporting obligations toward the authorities.

• A successfully conducted trial can be a relevant element for granting an

exceptional authorization for a registration under the normal procedure.

Automated driving in Switzerland

Driverless vehicles with pilot trial authorization

Federal Roads Office FEDRO

Press release from 18 October 2023 on the public consultation with related documents:

➢ Der Bundesrat will automatisiertes Fahren ermöglichen

➢ Le Conseil fédéral souhaite autoriser la conduite automatisée

➢ Il Consiglio federale intende consentire la guida automatizzata

Automated driving in Switzerland

Follow us on

LinkedIn

For further

information

please visit

our website

Federal Roads Office FEDRO

15

Market Forecast Tables 2023

These tables show forest products production and trade forecasts for 2023 and 2024. These cover roundwood (logs, pulpwood and fuel wood), sawnwood (coniferous and non-coniferous), wood-based panels (plywood, particle board, OSB and fibreboard), pulp, paper and wood pellets.  The forecast data are provided by national correspondents and approved at the meeting of the Committee on Forests and the Forest Industry.

Languages and translations
English

List of tables

List of Tables and Notes
Table 1 - Sawn Softwood
Table 2 - Sawn Hardwood (total)
Table 2a - Sawn Hardwood (temperate)
Table 2b - Sawn Hardwood (tropical)
Table 3 - Veneer Sheets
Table 4 - Plywood
Table 5 - Particle Board (excluding OSB)
Table 5a - Oriented Strand Board
Table 6 - Fibreboard
Table 6a - Hardboard
Table 6b - MDF/HDF
Table 6c - Other Fibreboard
Table 7 - Wood Pulp
Table 8 - Paper and Paperboard
Table 9 - Removals of wood in the rough
Table 9a - Removals of wood in the rough (softwood)
Table 9b - Removals of wood in the rough (hardwood)
Table 10 - Softwood sawlogs
Table 11 - Hardwood sawlogs
Table 11a - Hardwood logs (temperate)
Table 11b - Hardwood logs (tropical)
Table 12 - Pulpwood
Table 12a - Pulpwood (softwood)
Table 12b - Pulpwood (hardwood)
Table 12c - Wood Residues, Chips and Particles
Table 13 - Wood Pellets
Table 14 - Europe: Summary table of market forecasts for 2023 and 2024
Table 15 - North America: Summary table of market forecasts for 2023 and 2024
Source: UNECE Committee on Forests and the Forest Industry , November 2023, http://www.unece.org/forests/fpm/timbercommittee.html
Notes: Data in italics are estimated by the secretariat. EECCA is Eastern Europe, Caucasus and Central Asia.
Data for the two latest years are forecasts.
In contrast to previous years, data are shown only for countries providing forecasts. Sub-regional totals are only for reporting countries.
In contrast to years prior to 2020, data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subregion.
Confidential data have not been included. Please inform secretariat in case you notice any confidential data which might have been included inadvertently.
Wherever the forecast data is incomplete, then data is repeated to avoid skewing.
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.
Countries with nil, missing or confidential data for all years on a table are not shown.
Consumption figures are the sum of production and national imports minus national exports. Softwood = coniferous, hardwood = non-coniferous. United Kingdom production figures for OSB is secretariat estimate.
Uzbekistan – data extrapolated by the Secretariat based on national data for the first eight months 2023.
Poland - The trade turnover is based on data that includes the estimated value of trade turnover by entities exempt from the reporting obligation. These trade turnover figures are estimated at 3%. Roundwood: sawlogs and veneer logs and pulpwood and wood fuel - with removals from trees and shrubs outside the forest, including forest chips, with stump. Residues - production excluding recovered wood.
Softwood = coniferous, hardwood = non-coniferous
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.
Countries with nil, missing or confidential data for all years on a table are not shown.

Table1

TABLE 1
SAWN SOFTWOOD SCIAGES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 6,141 4,978 4,978 10,104 8,588 8,588 1,784 1,270 1,270 5,747 4,880 4,880 Autriche
Cyprus 33 34 34 1 1 1 32 33 33 0 0 0 Chypre
Czech Republic 2,965 2,343 2,470 4,720 3,776 4,040 583 414 350 2,338 1,847 1,920 République tchèque
Estonia 2,068 1,550 1,550 1,725 1,500 1,500 1,209 700 700 866 650 650 Estonie
Finland 2,938 2,420 2,420 11,200 10,300 10,400 305 20 20 8,567 7,900 8,000 Finlande
France 8,633 8,750 8,800 7,168 7,200 7,300 2,350 2,450 2,400 885 900 900 France
Germany 17,294 14,900 13,300 24,309 21,400 19,800 4,146 2,700 3,000 11,162 9,200 9,500 Allemagne
Hungary 788 902 918 85 96 86 717 821 842 14 15 11 Hongrie
Italy 4,790 4,302 4,302 400 400 400 4,608 4,157 4,157 217 255 255 Italie
Latvia 1,025 950 950 3,102 3,000 3,000 829 750 750 2,906 2,800 2,800 Lettonie
Luxembourg 71 122 122 39 39 39 43 91 91 11 8 8 Luxembourg
Malta 7 9 9 0 0 0 7 9 9 0 0 0 Malte
Montenegro 30 30 29 118 115 112 10 9 7 98 94 90 Monténégro
Netherlands 2,259 2,088 2,029 115 115 115 2,659 2,473 2,399 515 500 485 Pays-Bas
Poland 4,631 4,630 4,800 4,144 4,100 4,200 1,219 1,240 1,300 732 710 700 Pologne
Portugal 696 686 685 807 815 820 130 130 125 242 259 260 Portugal
Serbia 367 361 383 91 95 98 281 270 290 5 4 5 Serbie
Slovakia 847 810 860 1,430 1,360 1,400 480 450 460 1,063 1,000 1,000 Slovaquie
Slovenia 665 670 660 983 990 980 530 530 530 848 850 850 Slovénie
Spain 4,029 4,001 4,001 3,006 3,189 3,189 1,166 956 956 143 144 144 Espagne
Sweden 5,709 5,050 5,650 18,870 18,400 18,300 587 500 450 13,748 13,850 13,100 Suède
Switzerland 1,271 1,300 1,325 1,186 1,200 1,210 300 310 320 215 210 205 Suisse
United Kingdom 8,663 8,125 8,214 3,108 2,860 2,860 5,719 5,385 5,474 165 120 120 Royaume-Uni
Total Europe 75,919 69,011 68,490 96,712 89,540 88,439 29,694 25,668 25,934 50,487 46,197 45,883 Total Europe
Uzbekistan 2,256 1,498 1,498 0 0 0 2,256 1,498 1,498 0 0 0 Ouzbékistan
Total EECCA Total EOCAC
Canada a 3,707 2,691 2,242 36,398 33,228 31,331 891 988 948 33,581 31,525 30,037 Canada a
United States a 87,925 87,155 88,151 64,039 64,178 64,399 26,202 25,492 26,149 2,316 2,515 2,397 Etats-Unis a
Total North America 91,632 89,846 90,393 100,437 97,406 95,730 27,093 26,480 27,097 35,898 34,040 32,434 Total Amérique du Nord
a converted from nominal to actual size using factor of 0.72 a convertis du dimension nominale au véritable avec une facteur du 0.72

Table2

TABLE 2
SAWN HARDWOOD (total) SCIAGES NON-CONIFERES (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 310 222 222 238 202 202 217 140 140 145 120 120 Autriche
Cyprus 11 7 7 0 0 0 11 7 7 0 0 0 Chypre
Czech Republic 324 245 240 222 167 175 136 103 105 34 24 40 République tchèque
Estonia 232 125 125 175 125 125 147 60 60 90 60 60 Estonie
Finland 84 44 44 73 40 40 34 24 24 23 20 20 Finlande
France 1,124 1,140 1,150 1,446 1,300 1,400 264 420 350 586 580 600 France
Germany 693 650 650 997 800 800 395 300 300 699 450 450 Allemagne
Hungary 258 150 131 414 343 342 45 38 30 200 231 241 Hongrie
Italy 798 776 776 500 500 500 637 578 578 339 302 302 Italie
Latvia 5 105 105 720 800 800 54 55 55 769 750 750 Lettonie
Luxembourg 96 98 98 39 39 39 64 65 65 7 6 6 Luxembourg
Malta 7 8 9 0 0 0 7 8 9 0 0 0 Malte
Montenegro 11 8 10 39 35 34 2 1 1 30 28 25 Monténégro
Netherlands 238 213 203 34 34 34 314 289 279 110 110 110 Pays-Bas
Poland 495 470 500 487 450 460 267 270 300 259 250 260 Pologne
Portugal 369 295 290 182 185 190 287 200 190 100 90 90 Portugal
Serbia 172 215 225 343 370 385 64 60 70 235 215 230 Serbie
Slovakia 235 240 275 385 400 420 55 50 55 205 210 200 Slovaquie
Slovenia 106 145 145 143 145 145 83 80 80 121 80 80 Slovénie
Spain 425 467 467 302 321 321 175 193 193 53 47 47 Espagne
Sweden 142 140 140 100 100 100 83 80 80 41 40 40 Suède
Switzerland 78 79 81 52 53 54 50 51 52 24 25 25 Suisse
United Kingdom 807 810 810 37 40 40 787 790 790 17 20 20 Royaume-Uni
Total Europe 7,019 6,652 6,703 6,928 6,449 6,606 4,177 3,862 3,813 4,086 3,658 3,716 Total Europe
Uzbekistan 228 208 208 195 195 195 33 16 16 0 3 3 Ouzbékistan
Total EECCA Total EOCAC
Canada 1,208 1,324 1,242 859 893 815 793 826 738 444 395 311 Canada
United States 14,647 14,835 15,217 17,637 17,827 18,214 798 805 820 3,788 3,797 3,817 Etats-Unis
Total North America 15,855 16,159 16,459 18,496 18,720 19,029 1,591 1,631 1,558 4,231 4,192 4,128 Total Amérique du Nord

Table 2a

TABLE 2a
SAWN HARDWOOD (temperate) SCIAGES NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 306 219 219 238 202 202 213 136 136 144 119 119 Autriche
Cyprus 9 5 5 0 0 0 8 5 5 0 0 0 Chypre
Czech Republic 307 229 223 222 167 175 119 86 88 34 24 40 République tchèque
Estonia 230 122 122 175 125 125 142 56 56 87 59 59 Estonie
Finland 80 40 40 73 40 40 26 16 16 19 16 16 Finlande
France 960 988 988 1,420 1,285 1,375 123 280 210 583 577 597 France
Germany 664 630 630 997 800 800 315 240 240 649 410 410 Allemagne
Hungary 257 147 127 414 343 342 43 35 26 200 230 241 Hongrie
Italy 819 791 791 495 495 495 476 423 423 152 127 127 Italie
Latvia 5 105 105 720 800 800 54 55 55 769 750 750 Lettonie
Luxembourg 92 96 96 39 39 39 60 63 63 7 6 6 Luxembourg
Malta 6 7 8 0 0 0 6 7 8 0 0 0 Malte
Montenegro 11 8 10 39 35 34 2 1 1 30 28 25 Monténégro
Netherlands 89 80 77 27 27 27 117 108 105 55 55 55 Pays-Bas
Poland 484 459 488 487 450 460 254 257 286 257 248 258 Pologne
Portugal 319 272 268 170 172 178 180 150 140 31 50 50 Portugal
Serbia 167 211 220 342 369 384 59 57 66 234 215 230 Serbie
Slovakia 235 240 275 385 400 420 55 50 55 205 210 200 Slovaquie
Slovenia 104 143 143 143 145 145 81 78 78 120 80 80 Slovénie
Spain 383 417 417 300 318 318 128 142 142 45 43 43 Espagne
Sweden 142 139 139 100 100 100 83 79 79 41 40 40 Suède
Switzerland 69 70 72 49 50 51 44 45 46 24 25 25 Suisse
United Kingdom 716 720 720 37 40 40 693 700 700 14 20 20 Royaume-Uni
Total Europe 6,453 6,138 6,183 6,872 6,402 6,550 3,281 3,069 3,025 3,700 3,334 3,392 Total Europe
Uzbekistan 227 207 207 195 195 195 33 15 15 0 3 3 Ouzbékistan
Total EECCA Total EOCAC
Canada 1,191 1,316 1,236 859 893 815 762 805 715 430 382 294 Canada
United States 14,379 14,578 14,957 17,637 17,827 18,214 523 529 544 3,782 3,778 3,801 Etats-Unis
Total North America 15,569 15,893 16,193 18,496 18,720 19,029 1,285 1,334 1,259 4,212 4,160 4,095 Total Amérique du Nord

Table 2b

5.NC.T
TABLE 2b
SAWN HARDWOOD (tropical) SCIAGES NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 3 3 3 0 0 0 4 4 4 1 1 1 Autriche
Bulgaria 0 0 0 0 0 0 0 0 0 0 0 0 Bulgarie
Cyprus 3 2 2 0 0 0 3 2 2 0 0 0 Chypre
Czech Republic 17 17 17 0 0 0 17 17 17 0 0 0 République tchèque
Estonia 2 3 3 0 0 0 5 4 4 3 1 1 Estonie
Finland 4 4 4 0 0 0 8 8 8 4 4 4 Finlande
France 164 152 162 26 15 25 141 140 140 3 3 3 France
Germany 29 20 20 0 0 0 79 60 60 50 40 40 Allemagne
Hungary 2 3 4 0 0 0 2 4 4 0 0 0 Hongrie
Italy -21 -15 -15 5 5 5 161 154 154 187 175 175 Italie
Luxembourg 4 2 2 0 0 0 4 2 2 0 0 0 Luxembourg
Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte
Netherlands 149 133 126 7 7 7 197 181 174 55 55 55 Pays-Bas
Poland 10 11 12 0 0 0 12 13 14 2 2 2 Pologne
Portugal 50 23 22 12 13 12 107 50 50 69 40 40 Portugal
Serbia 5 4 5 1 1 1 5 3 4 1 0 0 Serbie
Slovenia 2 2 2 0 0 0 2 2 2 0 0 0 Slovénie
Spain 42 49 49 2 2 2 47 50 50 7 4 4 Espagne
Sweden 1 1 1 0 0 0 1 1 1 0 0 0 Suède
Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse
United Kingdom 91 90 90 0 0 0 94 90 90 3 0 0 Royaume-Uni
Total Europe 566 515 519 56 46 55 896 793 788 386 324 324 Total Europe
Canada 17 8 7 0 0 0 31 21 23 14 13 16 Canada
United States 269 257 260 0 0 0 275 276 276 6 19 16 Etats-Unis
Total North America 286 266 266 0 0 0 305 297 299 20 31 32 Total Amérique du Nord

Table 3

TABLE 3
VENEER SHEETS FEUILLES DE PLACAGE
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 74 39 39 8 8 8 83 45 45 17 14 14 Autriche
Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre
Czech Republic 28 28 27 28 16 17 58 53 50 58 41 40 République tchèque
Estonia 111 125 125 105 110 110 87 95 95 82 80 80 Estonie
Finland 27 21 21 190 160 160 12 10 10 175 149 149 Finlande
France 366 366 366 157 157 157 273 273 273 64 64 64 France
Germany 157 143 125 110 105 105 99 78 70 52 40 50 Allemagne
Hungary 23 25 20 13 18 13 39 39 39 28 31 32 Hongrie
Italy 344 308 308 107 107 107 274 234 234 37 33 33 Italie
Latvia 105 105 105 40 50 50 140 140 140 75 85 85 Lettonie
Luxembourg 1 0 0 0 0 0 1 0 0 0 0 0 Luxembourg
Malta 1 2 3 0 0 0 1 2 3 0 0 0 Malte
Netherlands 15 13 13 0 0 0 17 15 15 3 3 3 Pays-Bas
Poland 121 121 129 45 42 45 92 94 98 16 15 14 Pologne
Portugal 12 20 35 20 30 25 38 40 50 46 50 40 Portugal
Serbia 4 4 5 30 28 30 8 6 8 34 30 33 Serbie
Slovakia 17 25 25 21 25 25 27 30 30 31 30 30 Slovaquie
Slovenia 9 8 9 28 27 25 13 14 14 32 33 30 Slovénie
Spain 122 92 92 40 36 36 127 90 90 45 34 34 Espagne
Sweden 32 31 31 60 50 50 19 10 10 47 29 29 Suède
Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse
United Kingdom 6 10 10 0 0 0 7 10 10 1 0 0 Royaume-Uni
Total Europe 1,577 1,490 1,491 1,002 969 962 1,419 1,283 1,288 843 762 760 Total Europe
Uzbekistan 4 4 4 3 3 3 2 1 1 0 0 0 Ouzbékistan
Total EECCA 0 Total EOCAC
Canada 204 262 267 581 581 581 212 218 230 590 537 544 Canada
United States 2,643 2,670 2,699 2,284 2,306 2,329 652 658 664 293 294 294 Etats-Unis
Total North America 2,847 2,932 2,966 2,866 2,887 2,910 864 876 894 883 831 838 Total Amérique du Nord
Note: Definition of veneers excludes domestic use for plywood.
La définition des placages exclus la conversion directe en contreplaqué.

Table 4

TABLE 4
PLYWOOD CONTREPLAQUES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 19 15 15 131 155 155 183 150 150 296 290 290 Autriche
Cyprus 14 15 15 0 0 0 14 15 15 0 0 0 Chypre
Czech Republic 193 116 123 240 236 238 230 115 115 277 235 230 République tchèque
Estonia 145 50 50 200 210 210 151 50 50 205 210 210 Estonie
Finland 297 240 240 1,110 940 940 87 60 60 900 760 760 Finlande
France 589 583 583 253 270 270 476 452 452 140 139 139 France
Germany 1,073 1,154 840 85 80 80 1,319 1,281 1,000 330 207 240 Allemagne
Hungary 136 110 107 60 61 63 138 138 138 62 90 94 Hongrie
Italy 602 537 537 288 290 290 525 442 442 211 195 195 Italie
Latvia 92 55 55 331 300 300 94 95 95 333 340 340 Lettonie
Luxembourg 33 29 29 0 0 0 33 29 29 0 0 0 Luxembourg
Malta 10 11 12 0 0 0 10 11 12 0 0 0 Malte
Montenegro 2 2 2 1 1 1 2 2 2 1 1 1 Monténégro
Netherlands 488 457 441 0 0 0 586 551 529 98 94 88 Pays-Bas
Poland 650 640 670 539 515 530 468 475 480 357 350 340 Pologne
Portugal 154 180 166 103 100 110 95 110 100 44 30 44 Portugal
Serbia 40 36 38 19 18 19 34 30 33 13 12 14 Serbie
Slovakia 67 63 63 153 150 150 59 59 59 146 146 146 Slovaquie
Slovenia 49 50 58 94 90 98 26 30 30 71 70 70 Slovénie
Spain 231 326 326 462 416 416 132 117 117 363 207 207 Espagne
Sweden 278 160 160 90 90 90 236 120 120 48 50 50 Suède
Switzerland 206 206 206 7 7 7 203 203 203 4 4 4 Suisse
United Kingdom 1,254 1,180 1,180 0 0 0 1,320 1,250 1,250 66 70 70 Royaume-Uni
Total Europe 6,623 6,215 5,916 4,166 3,930 3,967 6,422 5,786 5,482 3,965 3,501 3,532 Total Europe
Uzbekistan 62 46 46 0 0 0 63 47 47 0 0 0 Ouzbékistan
Total EECCA 0 Total EOCAC
Canada 2,174 2,028 2,123 1,604 1,557 1,526 1,224 1,058 1,241 654 587 644 Canada
United States 14,742 14,890 15,188 9,254 9,345 9,528 6,259 6,317 6,436 771 772 776 Etats-Unis
Total North America 16,916 16,918 17,311 10,858 10,902 11,054 7,483 7,375 7,677 1,425 1,359 1,420 Total Amérique du Nord

Table 5

TABLE 5
PARTICLE BOARD (excluding OSB) PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 951 630 630 2,280 2,170 2,170 313 355 355 1,642 1,895 1,895 Autriche
Cyprus 49 46 46 0 0 0 49 46 46 0 0 0 Chypre
Czech Republic 793 811 835 962 866 910 530 484 485 699 538 560 République tchèque
Estonia 123 67 67 90 0 0 77 68 68 44 2 1 Estonie
Finland 113 75 75 54 54 54 85 44 44 26 23 23 Finlande
France 2,224 2,148 2,148 3,177 3,094 3,094 299 355 355 1,253 1,301 1,301 France
Germany 5,572 5,220 4,970 5,526 5,195 5,020 1,970 1,934 1,900 1,924 1,909 1,950 Allemagne
Hungary 408 384 379 447 428 438 264 282 272 303 326 331 Hongrie
Italy 3,070 2,813 2,813 2,646 2,500 2,500 956 821 821 532 508 508 Italie
Latvia 52 85 85 306 300 300 69 25 25 322 240 240 Lettonie
Luxembourg 20 12 12 0 0 0 21 13 13 1 1 1 Luxembourg
Malta 10 11 11 0 0 0 10 11 11 0 0 0 Malte
Montenegro 32 33 34 0 0 0 32 33 34 0 0 0 Monténégro
Netherlands 464 440 432 0 0 0 514 488 479 50 48 47 Pays-Bas
Poland 6,501 6,450 6,740 5,227 5,150 5,450 2,173 2,180 2,200 899 880 910 Pologne
Portugal 537 473 514 766 750 760 281 300 290 510 577 536 Portugal
Serbia 373 351 371 219 210 220 196 184 198 42 43 47 Serbie
Slovakia 352 343 340 676 675 675 148 140 137 473 473 472 Slovaquie
Slovenia 137 110 110 0 0 0 143 114 114 6 4 4 Slovénie
Spain 2,392 2,213 2,213 2,566 2,310 2,310 626 621 621 800 718 718 Espagne
Sweden 1,055 868 868 636 600 600 475 335 335 57 67 67 Suède
Switzerland 281 286 286 420 425 425 141 141 141 280 280 280 Suisse
United Kingdom 2,606 2,542 2,542 2,012 1,982 1,982 648 610 610 55 50 50 Royaume-Uni
Total Europe 28,115 26,410 26,521 28,012 26,710 26,908 10,021 9,584 9,555 9,917 9,883 9,942 Total Europe
Uzbekistan 880 542 542 252 252 252 654 317 317 26 27 27 Ouzbékistan
Total EECCA 27 Total EOCAC
Canada 1,466 1,886 1,894 1,625 2,032 2,012 552 504 491 710 650 609 Canada
United States 5,196 5,565 5,562 4,488 4,552 4,534 1,193 1,465 1,487 485 452 459 Etats-Unis
Total North America 6,663 7,451 7,456 6,113 6,584 6,546 1,745 1,969 1,978 1,195 1,102 1,068 Total Amérique du Nord
Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.

Table 5a

TABLE 5a
ORIENTED STRAND BOARD (OSB) PANNEAUX STRUCTURAUX ORIENTES (OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 205 135 135 0 0 0 212 140 140 7 5 5 Autriche
Cyprus 11 14 14 0 0 0 11 14 14 0 0 0 Chypre
Czech Republic 380 342 350 689 620 655 126 113 115 435 392 420 République tchèque
Estonia 55 32 32 0 0 0 55 32 32 1 0 0 Estonie
Finland 56 56 56 0 0 0 56 56 56 0 0 0 Finlande
France 427 522 522 302 406 406 222 165 165 96 49 49 France
Germany 1,316 1,238 1,130 1,164 1,105 1,080 679 669 600 526 536 550 Allemagne
Hungary 133 147 152 379 419 443 56 60 59 302 331 350 Hongrie
Italy 346 287 287 100 100 100 346 274 274 100 87 87 Italie
Latvia 196 165 165 674 650 650 76 75 75 554 560 560 Lettonie
Luxembourg 110 135 135 338 338 338 6 14 14 234 217 217 Luxembourg
Montenegro 2 2 2 0 0 0 2 2 2 0 0 0 Monténégro
Netherlands 222 222 227 0 0 0 286 286 292 64 64 65 Pays-Bas
Poland 655 650 760 647 650 750 302 320 350 294 320 340 Pologne
Portugal 46 37 41 0 0 0 50 40 45 4 3 4 Portugal
Serbia 40 35 41 0 0 0 41 36 42 1 1 1 Serbie
Slovakia 48 58 60 0 0 0 48 60 63 1 3 3 Slovaquie
Slovenia 31 24 24 0 0 0 33 26 26 2 2 2 Slovénie
Spain 26 15 15 3 3 3 35 33 33 12 20 20 Espagne
Sweden 94 92 92 0 0 0 97 95 95 3 3 3 Suède
Switzerland 95 95 95 0 0 0 96 96 96 1 1 1 Suisse
United Kingdom 773 758 758 598 598 598 365 350 350 190 190 190 Royaume-Uni
Total Europe 5,268 5,060 5,092 4,894 4,888 5,023 3,200 2,956 2,938 2,826 2,784 2,868 Total Europe
Uzbekistan 7 5 5 0 0 0 7 5 5 0 0 0 Ouzbékistan
Total EECCA 0 Total EOCAC
Canada 1,546 1,253 1,153 7,270 6,820 6,798 82 65 61 5,806 5,632 5,706 Canada
United States 19,658 19,834 20,197 13,592 13,783 14,059 6,198 6,236 6,326 132 185 188 Etats-Unis
Total North America 21,204 21,087 21,350 20,862 20,603 20,857 6,280 6,301 6,387 5,938 5,817 5,894 Total Amérique du Nord

Table 6

TABLE 6
FIBREBOARD PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 421 386 386 470 395 395 331 308 308 381 316 316 Autriche
Cyprus 20 15 16 0 0 0 20 15 16 0 0 0 Chypre
Czech Republic 328 276 280 41 41 42 438 347 360 151 112 122 République tchèque
Estonia 70 46 47 75 40 40 65 46 47 70 40 40 Estonie
Finland 139 105 105 44 44 44 141 102 102 46 41 41 Finlande
France 828 915 915 1,238 1,035 1,035 721 772 772 1,130 892 892 France
Germany 3,791 3,437 3,325 5,194 4,900 4,800 1,590 1,543 1,470 2,993 3,006 2,945 Allemagne
Hungary 9 -17 -13 21 0 0 204 235 244 215 253 258 Hongrie
Italy 1,862 1,661 1,661 827 818 818 1,281 974 974 245 131 131 Italie
Latvia 60 50 40 48 50 50 62 65 65 50 65 75 Lettonie
Luxembourg 100 90 90 147 147 147 34 19 19 80 76 76 Luxembourg
Malta 6 7 7 0 0 0 6 7 7 0 0 0 Malte
Montenegro 32 32 33 0 0 0 32 32 33 0 0 0 Monténégro
Netherlands 332 310 296 29 29 29 465 431 412 162 150 145 Pays-Bas
Poland 3,808 3,765 4,020 4,960 4,920 5,080 590 585 630 1,743 1,740 1,690 Pologne
Portugal 534 485 529 526 520 560 338 315 335 330 350 366 Portugal
Serbia 74 74 88 19 20 22 71 73 88 16 19 22 Serbie
Slovakia 210 218 223 0 0 0 248 256 262 39 38 39 Slovaquie
Slovenia 24 15 15 132 120 125 28 25 30 136 130 140 Slovénie
Spain 920 894 894 1,430 1,287 1,287 462 355 355 972 748 748 Espagne
Sweden 301 260 260 0 0 0 425 360 360 124 100 100 Suède
Switzerland 238 238 238 97 97 97 308 308 308 167 167 167 Suisse
United Kingdom 1,692 1,630 1,630 856 850 850 895 840 840 60 60 60 Royaume-Uni
Total Europe 15,799 14,892 15,085 16,153 15,313 15,421 8,755 8,013 8,037 9,110 8,434 8,373 Total Europe
Uzbekistan 1,092 809 809 47 47 47 1,057 771 771 13 9 9 Ouzbékistan
Total EECCA Total EOCAC
Canada 1,236 1,183 1,181 1,277 1,288 1,299 818 628 605 859 733 723 Canada
United States 8,684 8,749 8,888 6,362 6,420 6,571 3,359 3,289 3,310 1,038 960 993 Etats-Unis
Total North America 9,920 9,932 10,069 7,639 7,708 7,870 4,177 3,917 3,915 1,896 1,693 1,716 Total Amérique du Nord

Table 6a

TABLE 6a
HARDBOARD PANNEAUX DURS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 29 28 28 54 43 43 18 16 16 43 32 32 Autriche
Cyprus 2 1 2 0 0 0 2 1 2 0 0 0 Chypre
Czech Republic 43 45 45 0 0 0 61 59 60 18 14 15 République tchèque
Estonia 23 15 19 0 0 0 30 16 20 7 1 1 Estonie
Finland 23 21 21 44 44 44 21 15 15 41 38 38 Finlande
France 55 55 55 221 221 221 207 207 207 373 373 373 France
Germany 176 183 165 0 0 0 200 203 180 23 20 15 Allemagne
Hungary 27 41 45 2 0 0 65 81 85 40 40 40 Hongrie
Italy 280 280 280 16 16 16 283 283 283 19 19 19 Italie
Latvia 1 5 5 15 15 15 18 20 20 32 30 30 Lettonie
Luxembourg -31 -12 -12 0 0 0 3 8 8 34 20 20 Luxembourg
Montenegro 1 1 1 0 0 0 1 1 1 0 0 0 Monténégro
Netherlands 44 41 39 0 0 0 63 58 56 19 17 17 Pays-Bas
Poland -179 -120 -50 80 80 80 88 100 120 347 300 250 Pologne
Portugal 50 30 39 0 0 0 61 40 50 11 10 11 Portugal
Serbia 39 35 38 19 20 22 33 31 34 13 16 18 Serbie
Slovakia 21 20 21 0 0 0 21 21 22 1 1 1 Slovaquie
Slovenia -1 0 1 0 0 0 4 2 4 4 2 3 Slovénie
Spain 17 15 15 32 29 29 46 46 46 61 60 60 Espagne
Sweden 47 30 30 0 0 0 116 110 110 70 80 80 Suède
Switzerland 19 19 19 0 0 0 24 24 24 5 5 5 Suisse
United Kingdom 101 90 90 0 0 0 110 100 100 9 10 10 Royaume-Uni
Total Europe 787 822 895 482 468 470 1,474 1,441 1,463 1,169 1,087 1,037 Total Europe
Uzbekistan 89 50 50 0 0 0 90 50 50 0 0 0 Ouzbékistan
Total EECCA Total EOCAC
Canada 33 47 42 90 90 90 52 27 28 109 70 76 Canada
United States 481 509 514 437 504 509 259 255 258 215 250 253 Etats-Unis
Total North America 514 556 556 527 594 599 311 282 286 324 320 329 Total Amérique du Nord

Table 6b

TABLE 6b
MDF/HDF
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 260 230 230 416 351 351 177 160 160 333 281 281 Autriche
Cyprus 16 12 12 0 0 0 16 12 12 0 0 0 Chypre
Czech Republic 199 157 160 41 41 42 180 135 140 22 19 22 République tchèque
Estonia 18 21 18 0 0 0 33 28 25 15 7 7 Estonie
Finland 82 67 67 0 0 0 86 70 70 4 3 3 Finlande
France 708 794 794 954 751 751 337 388 388 583 345 345 France
Germany 1,870 1,728 1,720 3,792 3,700 3,650 424 395 370 2,345 2,367 2,300 Allemagne
Hungary -39 -65 -62 0 0 0 136 148 156 175 213 218 Hongrie
Italy 1,501 1,299 1,299 809 800 800 913 606 606 221 107 107 Italie
Latvia 52 40 30 33 35 35 22 25 25 2 20 30 Lettonie
Luxembourg 128 98 98 147 147 147 27 7 7 46 56 56 Luxembourg
Malta 5 5 5 0 0 0 5 5 5 0 0 0 Malte
Montenegro 31 31 32 0 0 0 31 31 32 0 0 0 Monténégro
Netherlands 220 205 196 0 0 0 361 336 322 141 131 126 Pays-Bas
Poland 3,066 3,020 3,130 3,052 3,030 3,100 470 450 470 456 460 440 Pologne
Portugal 447 440 465 494 500 530 257 260 265 305 320 330 Portugal
Serbia 31 35 46 0 0 0 34 38 50 3 3 4 Serbie
Slovakia 135 135 135 0 0 0 170 170 170 35 35 35 Slovaquie
Slovenia 24 15 14 132 120 125 24 23 26 131 128 137 Slovénie
Spain 835 821 821 1,334 1,201 1,201 397 302 302 897 682 682 Espagne
Sweden 254 225 225 0 0 0 284 230 230 30 5 5 Suède
Switzerland 24 24 24 97 97 97 88 88 88 161 161 161 Suisse
United Kingdom 1,553 1,510 1,510 856 850 850 739 700 700 42 40 40 Royaume-Uni
Total Europe 11,419 10,847 10,969 12,157 11,623 11,679 5,210 4,606 4,618 5,948 5,382 5,328 Total Europe
Uzbekistan 671 513 513 46 46 46 629 469 469 3 2 2 Ouzbékistan
Total EECCA Total EOCAC
Canada 1,053 999 1,005 1,087 1,098 1,109 608 472 449 641 570 553 Canada
United States 5,156 5,228 5,226 2,746 2,778 2,786 2,939 2,874 2,866 529 424 426 Etats-Unis
Total North America 6,209 6,227 6,231 3,833 3,876 3,895 3,547 3,346 3,315 1,170 994 979 Total Amérique du Nord

Table 6c

TABLE 6c
OTHER FIBREBOARD AUTRES PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 131 128 128 0 0 0 136 132 132 4 3 3 Autriche
Cyprus 2 2 2 0 0 0 3 2 2 0 0 0 Chypre
Czech Republic 86 74 75 0 0 0 197 154 160 111 80 85 République tchèque
Estonia 29 10 10 75 40 40 3 2 2 49 32 32 Estonie
Finland 33 17 17 0 0 0 34 17 17 0 0 0 Finlande
France 65 66 66 63 63 63 177 177 177 174 174 174 France
Germany 1,745 1,526 1,440 1,402 1,200 1,150 966 945 920 624 619 630 Allemagne
Hungary 21 7 4 19 0 0 3 7 4 0 0 0 Hongrie
Italy 82 82 82 3 3 3 85 85 85 6 6 6 Italie
Latvia 7 5 5 0 0 0 23 20 20 16 15 15 Lettonie
Luxembourg 4 4 4 0 0 0 4 4 4 0 0 0 Luxembourg
Malta 1 2 2 0 0 0 1 2 2 0 0 0 Malte
Netherlands 68 64 61 29 29 29 41 37 34 2 2 2 Pays-Bas
Poland 920 865 940 1,828 1,810 1,900 33 35 40 940 980 1,000 Pologne
Portugal 37 15 25 32 20 30 20 15 20 15 20 25 Portugal
Serbia 4 4 4 0 0 0 4 4 4 0 0 0 Serbie
Slovakia 54 63 67 0 0 0 57 65 70 3 2 3 Slovaquie
Slovenia 0 0 0 0 0 0 0 0 0 0 0 0 Slovénie
Spain 69 59 59 64 58 58 20 7 7 15 6 6 Espagne
Sweden 0 5 5 0 0 0 25 20 20 24 15 15 Suède
Switzerland 195 195 195 0 0 0 196 196 196 1 1 1 Suisse
United Kingdom 38 30 30 0 0 0 47 40 40 9 10 10 Royaume-Uni
Total Europe 3,592 3,223 3,221 3,514 3,222 3,272 2,071 1,965 1,956 1,993 1,965 2,007 Total Europe
Uzbekistan 331 246 246 2 2 2 339 252 252 10 7 7 Ouzbékistan
Total EECCA Total EOCAC
Canada 150 137 134 100 100 100 158 129 128 108 92 94 Canada
United States 3,047 3,012 3,148 3,179 3,138 3,276 161 160 186 294 286 314 Etats-Unis
Total North America 3,196 3,149 3,282 3,279 3,238 3,376 319 289 314 402 378 408 Total Amérique du Nord

Table 7

TABLE 7
WOOD PULP PATE DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 2,209 1,950 2,030 1,977 1,700 1,800 630 610 630 399 360 400 Autriche
Czech Republic 847 688 700 640 525 540 324 259 260 117 96 100 République tchèque
Estonia 70 75 80 227 180 180 42 50 50 199 155 150 Estonie
Finland a 5,468 4,483 4,614 9,200 8,690 9,360 355 150 150 4,087 4,357 4,896 Finlande a
France 2,898 2,420 2,500 1,666 1,300 1,350 1,715 1,450 1,500 483 330 350 France
Germany 5,092 4,600 5,000 2,172 1,850 2,000 4,173 3,900 4,200 1,253 1,150 1,200 Allemagne
Hungary 205 206 214 66 77 87 141 133 131 3 3 4 Hongrie
Italy 3,466 3,466 3,466 223 223 223 3,536 3,536 3,536 293 293 293 Italie
Latvia 7 7 7 12 13 13 7 7 7 12 13 13 Lettonie
Netherlands 443 442 442 37 37 37 1,717 1,717 1,717 1,312 1,312 1,312 Pays-Bas
Poland 2,836 2,830 2,930 1,729 1,710 1,750 1,291 1,300 1,320 183 180 140 Pologne
Portugal 1,757 1,735 1,760 2,869 2,870 2,870 140 145 150 1,252 1,280 1,260 Portugal
Serbia 82 88 92 0 0 0 82 88 92 0 0 0 Serbie
Slovakia 700 700 715 692 700 725 173 170 170 166 170 180 Slovaquie
Slovenia 322 321 316 73 63 68 249 260 250 1 2 2 Slovénie
Spain 1,520 1,328 1,328 1,120 1,120 1,120 1,176 976 976 775 768 768 Espagne
Sweden 8,438 7,600 7,950 11,631 10,900 11,400 641 600 600 3,834 3,900 4,050 Suède
Switzerland 188 188 188 87 87 87 101 101 101 0 0 0 Suisse
United Kingdom 1,057 940 950 220 200 200 838 740 750 1 0 0 Royaume-Uni
Total Europe 37,604 34,067 35,282 34,641 32,244 33,809 17,333 16,193 16,590 14,369 14,369 15,118 Total Europe
Uzbekistan 38 28 28 1 1 1 37 28 28 0 0 0 Ouzbékistan
Total EECCA Total EOCAC
Canada 6,007 5,851 5,616 14,200 13,102 12,638 472 582 640 8,665 7,833 7,662 Canada
United States 39,787 42,269 42,815 40,822 41,230 41,478 6,948 7,643 8,254 7,983 6,603 6,917 Etats-Unis
Total North America 45,794 48,121 48,431 55,022 54,332 54,116 7,420 8,224 8,894 16,648 14,436 14,579 Total Amérique du Nord
a imports exclude dissolving pulp a les importations excluent pâte à dissoudre

Table 8

TABLE 8
PAPER AND PAPERBOARD PAPIERS ET CARTONS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 2,133 1,750 2,050 4,633 3,500 4,000 1,231 1,050 1,150 3,730 2,800 3,100 Autriche
Cyprus 56 48 48 0 0 0 56 48 48 0 0 0 Chypre
Czech Republic 1,467 1,234 1,258 938 769 785 1,531 1,286 1,312 1,002 822 838 République tchèque
Estonia 120 111 111 57 35 35 123 102 102 59 26 26 Estonie
Finland 514 475 460 7,200 5,990 6,150 333 275 280 7,019 5,790 5,970 Finlande
France 8,272 7,290 7,400 7,092 6,240 6,600 4,845 4,650 4,600 3,665 3,600 3,800 France
Germany 17,836 14,600 17,000 21,612 17,500 21,000 9,302 8,000 9,500 13,078 10,900 13,500 Allemagne
Hungary 1,213 1,167 1,212 1,057 1,003 1,034 877 892 898 720 727 721 Hongrie
Italy 11,390 11,390 11,390 8,696 8,696 8,696 5,800 5,800 5,800 3,106 3,106 3,106 Italie
Latvia 168 175 175 29 30 30 173 180 180 33 35 35 Lettonie
Luxembourg 26 14 14 0 0 0 27 15 15 1 1 1 Luxembourg
Malta 26 27 28 0 0 0 26 27 28 0 0 0 Malte
Netherlands 2,814 2,760 2,760 2,884 2,827 2,827 2,180 2,096 2,096 2,250 2,163 2,163 Pays-Bas
Poland 7,532 7,400 7,550 5,237 5,130 5,250 4,869 4,870 4,950 2,574 2,600 2,650 Pologne
Portugal 1,090 1,200 1,240 2,123 2,200 2,240 948 940 945 1,981 1,940 1,945 Portugal
Serbia 790 762 778 483 481 490 514 490 500 207 209 212 Serbie
Slovakia 565 575 600 967 975 1,000 457 450 475 859 850 875 Slovaquie
Slovenia 412 390 390 591 500 500 367 390 390 545 500 500 Slovénie
Spain 7,060 6,778 6,778 6,355 6,355 6,355 2,997 2,577 2,577 2,291 2,154 2,154 Espagne
Sweden 834 700 750 8,531 7,300 8,100 894 700 750 8,591 7,300 8,100 Suède
Switzerland 1,020 1,015 1,010 1,160 1,155 1,150 640 635 630 780 775 770 Suisse
United Kingdom 7,420 6,280 6,440 3,460 3,190 3,250 5,015 4,150 4,250 1,055 1,060 1,060 Royaume-Uni
Total Europe 72,758 66,140 69,442 83,103 73,876 79,492 43,204 39,623 41,476 53,549 47,358 51,526 Total Europe
Uzbekistan 335 297 297 142 142 142 214 171 171 21 17 17 Ouzbékistan
Total EECCA Total EOCAC
Canada 5,505 6,069 6,231 9,094 9,124 9,155 2,516 2,242 2,235 6,105 5,298 5,159 Canada
United States 64,243 62,896 63,029 65,959 64,476 64,476 8,202 8,180 8,159 9,917 9,761 9,606 Etats-Unis
Total North America 69,748 68,964 69,260 75,053 73,600 73,631 10,718 10,423 10,395 16,023 15,059 14,765 Total Amérique du Nord

Table 9

TABLE 9
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
TOTAL TOTAL
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 13,935 11,716 12,225 10,711 8,904 9,338 3,223 2,812 2,887 0 0 0 5,424 5,115 5,234 19,359 16,831 17,459 Autriche
Cyprus 3 2 2 2 2 2 0 0 0 0 0 0 11 9 8 14 11 10 Chypre
Czech Republic 20,708 15,535 14,897 14,635 10,617 10,106 5,965 4,804 4,675 108 113 115 4,405 3,965 3,900 25,113 19,499 18,797 République tchèque
Estonia 6,474 6,401 6,401 4,276 4,200 4,200 2,148 2,150 2,150 51 51 51 4,066 3,800 3,800 10,541 10,201 10,201 Estonie
Finland 56,246 53,397 55,435 25,699 22,749 23,412 30,547 30,648 32,023 0 0 0 9,340 9,340 9,340 65,586 62,737 64,775 Finlande
France 25,648 25,270 25,070 17,198 17,200 17,300 7,891 7,500 7,200 559 570 570 24,173 24,500 25,600 49,821 49,770 50,670 France
Germany 56,534 53,930 49,630 44,756 41,200 39,500 11,644 12,600 10,000 135 130 130 22,338 22,700 22,700 78,872 76,630 72,330 Allemagne
Hungary 2,901 2,881 2,881 1,410 1,374 1,399 912 995 1,008 579 512 475 3,626 3,284 3,397 6,527 6,165 6,278 Hongrie
Italy 2,838 3,540 3,540 1,890 1,890 1,890 316 1,018 1,018 632 632 632 10,839 10,839 10,839 13,677 14,379 14,379 Italie
Latvia 12,491 12,150 12,350 7,603 7,250 7,450 3,868 3,800 3,800 1,020 1,100 1,100 2,936 3,000 3,000 15,427 15,150 15,350 Lettonie
Luxembourg 231 197 193 147 144 133 56 38 38 27 15 22 40 45 43 271 242 235 Luxembourg
Montenegro 751 697 678 515 492 487 201 198 186 35 7 5 194 193 190 945 890 868 Monténégro
Netherlands 614 599 589 221 220 215 352 340 335 41 39 39 2,382 2,380 2,385 2,996 2,979 2,974 Pays-Bas
Poland 38,735 39,880 40,850 18,533 18,800 19,150 19,350 20,100 20,550 852 980 1,150 6,958 7,420 7,750 45,693 47,300 48,600 Pologne
Portugal 12,235 12,330 12,190 2,038 2,040 2,060 9,799 9,850 9,700 399 440 430 2,383 2,380 2,300 14,619 14,710 14,490 Portugal
Serbia 1,478 1,520 1,561 1,077 1,104 1,130 265 275 283 136 141 148 6,574 6,646 6,760 8,052 8,166 8,321 Serbie
Slovakia 6,827 6,820 6,880 4,130 4,080 4,100 2,672 2,710 2,750 25 30 30 609 610 650 7,435 7,430 7,530 Slovaquie
Slovenia 2,928 3,752 3,482 2,184 2,780 2,600 698 920 830 45 52 52 1,149 1,290 1,270 4,076 5,042 4,752 Slovénie
Spain 14,366 15,244 15,244 4,150 4,404 4,404 9,813 10,413 10,413 403 427 427 3,555 3,772 3,772 17,921 19,016 19,016 Espagne
Sweden 71,165 69,076 69,310 38,280 37,480 37,080 32,585 31,296 31,930 300 300 300 6,000 6,016 6,016 77,165 75,092 75,326 Suède
Switzerland 3,011 3,082 3,142 2,555 2,625 2,680 444 445 450 12 12 12 1,938 2,000 2,025 4,949 5,082 5,167 Suisse
United Kingdom 7,604 7,193 7,193 5,509 5,236 5,236 1,646 1,529 1,529 448 428 428 2,184 2,184 2,184 9,788 9,377 9,377 Royaume-Uni
Total Europe 357,723 345,212 343,742 207,519 194,791 193,872 144,397 144,441 143,754 5,807 5,980 6,116 121,124 121,488 123,163 478,847 466,699 466,905 Total Europe
Canada 142,131 140,499 140,499 124,900 123,350 123,350 15,040 14,864 14,864 2,190 2,285 2,285 1,683 1,908 1,908 143,814 142,407 142,407 Canada
United States 382,544 384,963 388,611 186,157 188,221 191,211 182,650 182,996 183,637 13,737 13,746 13,763 76,230 76,240 76,278 458,774 461,203 464,889 Etats-Unis
Total North America 524,675 525,462 529,110 311,057 311,571 314,561 197,690 197,861 198,501 15,927 16,031 16,048 77,913 78,148 78,186 602,587 603,610 607,296 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques

Table 9a

TABLE 9a
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
SOFTWOOD CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 12,958 10,873 11,338 10,382 8,638 9,038 2,576 2,235 2,300 0 0 0 3,248 3,069 3,140 16,206 13,942 14,478 Autriche
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 10 8 7 12 10 9 Chypre
Czech Republic 19,440 14,455 13,825 14,019 10,094 9,589 5,316 4,253 4,125 105 109 111 3,610 3,249 3,200 23,050 17,704 17,025 République tchèque
Estonia 4,023 3,927 3,927 3,118 3,000 3,000 878 900 900 26 27 27 1,486 1,400 1,400 5,509 5,327 5,327 Estonie
Finland 47,408 45,464 47,590 24,662 21,700 22,351 22,746 23,764 25,239 0 0 0 4,593 4,593 4,593 52,001 50,057 52,183 Finlande
France 17,300 17,070 16,770 12,491 12,500 12,500 4,559 4,300 4,000 250 270 270 2,417 2,500 2,600 19,717 19,570 19,370 France
Germany 52,425 50,120 46,120 41,761 38,500 37,000 10,541 11,500 9,000 123 120 120 8,834 9,200 9,200 61,259 59,320 55,320 Allemagne
Hungary 688 759 743 175 201 208 411 488 481 102 70 53 383 294 333 1,071 1,053 1,076 Hongrie
Italy 1,797 2,502 2,502 1,169 1,169 1,169 148 853 853 480 480 480 1,180 1,180 1,180 2,977 3,682 3,682 Italie
Latvia 8,253 7,900 8,100 5,873 5,500 5,700 1,850 1,800 1,800 530 600 600 298 300 300 8,551 8,200 8,400 Lettonie
Luxembourg 162 143 145 124 122 115 10 6 8 27 15 22 17 11 12 178 154 158 Luxembourg
Montenegro 573 553 537 372 352 349 201 198 186 0 3 2 66 65 63 639 618 600 Monténégro
Netherlands 449 440 430 173 170 165 244 240 235 32 30 30 457 450 450 906 890 880 Pays-Bas
Poland 31,941 32,800 33,470 15,775 16,000 16,250 15,411 15,950 16,250 754 850 970 3,627 3,820 3,950 35,568 36,620 37,420 Pologne
Portugal 3,045 3,210 3,150 1,682 1,710 1,700 1,213 1,350 1,300 150 150 150 996 990 980 4,041 4,200 4,130 Portugal
Serbia 279 290 301 178 184 190 66 70 73 35 36 38 141 146 160 420 436 461 Serbie
Slovakia 3,325 3,160 3,120 2,559 2,430 2,400 748 710 700 18 20 20 259 260 275 3,584 3,420 3,395 Slovaquie
Slovenia 1,966 2,586 2,386 1,687 2,150 2,000 275 430 380 4 6 6 191 240 220 2,157 2,826 2,606 Slovénie
Spain 7,435 7,889 7,889 3,420 3,629 3,629 3,754 3,984 3,984 261 277 277 2,243 2,380 2,380 9,678 10,269 10,269 Espagne
Sweden 64,603 62,760 62,873 38,100 37,300 36,900 26,353 25,310 25,823 150 150 150 3,000 3,008 3,008 67,603 65,768 65,881 Suède
Switzerland 2,578 2,639 2,689 2,290 2,350 2,400 279 280 280 9 9 9 769 770 775 3,347 3,409 3,464 Suisse
United Kingdom 7,486 7,076 7,076 5,453 5,180 5,180 1,633 1,516 1,516 400 380 380 1,571 1,571 1,571 9,058 8,647 8,647 Royaume-Uni
Total Europe 288,136 276,619 274,984 185,467 172,881 171,836 99,212 100,136 99,433 3,458 3,602 3,715 39,396 39,504 39,798 327,533 316,123 314,781 Total Europe
Canada 114,659 112,907 112,907 110,046 108,424 108,424 4,229 4,021 4,021 384 462 462 806 946 946 115,465 113,853 113,853 Canada
United States 306,119 309,360 313,639 152,799 154,479 156,695 141,226 142,779 144,827 12,094 12,102 12,117 37,619 37,609 37,606 343,738 346,969 351,245 Etats-Unis
Total North America 420,778 422,267 426,546 262,845 262,903 265,119 145,455 146,800 148,848 12,478 12,564 12,579 38,425 38,555 38,552 459,203 460,822 465,098 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques

Table 9b

TABLE 9b
REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT
HARDWOOD NON-CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country Industrial wood - Bois industriels Wood fuel c Bois de chauffage c Pays
Total Logs Pulpwood a Other b Total
Grumes Bois de trituration a Autre b
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 977 843 887 329 266 300 647 577 587 0 0 0 2,176 2,046 2,094 3,153 2,889 2,981 Autriche
Cyprus 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 Chypre
Czech Republic 1,268 1,079 1,071 616 524 517 649 552 550 3 4 4 795 716 700 2,063 1,795 1,771 République tchèque
Estonia 2,452 2,474 2,474 1,158 1,200 1,200 1,270 1,250 1,250 24 24 24 2,580 2,400 2,400 5,032 4,874 4,874 Estonie
Finland 8,838 7,933 7,845 1,037 1,049 1,061 7,801 6,884 6,784 0 0 0 4,747 4,747 4,747 13,585 12,680 12,592 Finlande
France 8,348 8,200 8,300 4,707 4,700 4,800 3,332 3,200 3,200 309 300 300 21,756 22,000 23,000 30,104 30,200 31,300 France
Germany 4,110 3,810 3,510 2,995 2,700 2,500 1,103 1,100 1,000 12 10 10 13,504 13,500 13,500 17,613 17,310 17,010 Allemagne
Hungary 2,213 2,122 2,138 1,234 1,173 1,191 502 507 526 477 442 421 3,244 2,990 3,064 5,456 5,112 5,202 Hongrie
Italy 1,041 1,038 1,038 721 721 721 168 166 166 152 152 152 9,659 9,659 9,659 10,700 10,697 10,697 Italie
Latvia 4,238 4,250 4,250 1,730 1,750 1,750 2,018 2,000 2,000 490 500 500 2,638 2,700 2,700 6,876 6,950 6,950 Lettonie
Luxembourg 69 54 47 23 22 18 46 32 30 0 0 0 23 34 30 92 89 78 Luxembourg
Montenegro 178 144 141 143 140 138 0 0 0 35 4 3 128 128 127 306 272 268 Monténégro
Netherlands 165 159 159 48 50 50 108 100 100 9 9 9 1,925 1,930 1,935 2,090 2,089 2,094 Pays-Bas
Poland 6,794 7,080 7,380 2,757 2,800 2,900 3,939 4,150 4,300 98 130 180 3,331 3,600 3,800 10,125 10,680 11,180 Pologne
Portugal 9,190 9,120 9,040 356 330 360 8,586 8,500 8,400 249 290 280 1,387 1,390 1,320 10,578 10,510 10,360 Portugal
Serbia 1,199 1,230 1,260 899 920 940 199 205 210 101 105 110 6,433 6,500 6,600 7,632 7,730 7,860 Serbie
Slovakia 3,502 3,660 3,760 1,570 1,650 1,700 1,924 2,000 2,050 8 10 10 350 350 375 3,851 4,010 4,135 Slovaquie
Slovenia 962 1,166 1,096 497 630 600 424 490 450 41 46 46 957 1,050 1,050 1,919 2,216 2,146 Slovénie
Spain 6,931 7,354 7,354 730 775 775 6,059 6,429 6,429 142 151 151 1,312 1,392 1,392 8,243 8,746 8,746 Espagne
Sweden 6,562 6,316 6,437 180 180 180 6,232 5,986 6,107 150 150 150 3,000 3,008 3,008 9,562 9,324 9,445 Suède
Switzerland 433 443 453 265 275 280 165 165 170 3 3 3 1,169 1,230 1,250 1,602 1,673 1,703 Suisse
United Kingdom 118 117 117 56 56 56 13 13 13 48 48 48 613 613 613 730 730 730 Royaume-Uni
Total Europe 69,587 68,593 68,759 22,052 21,910 22,036 45,185 44,305 44,322 2,350 2,377 2,401 81,728 81,984 83,365 151,314 150,576 152,124 Total Europe
Canada 27,472 27,592 27,592 14,854 14,926 14,926 10,812 10,843 10,843 1,806 1,823 1,823 877 961 961 28,349 28,554 28,554 Canada
United States 76,425 75,603 74,972 33,358 33,742 34,516 41,424 40,217 38,810 1,643 1,644 1,646 38,611 38,631 38,672 115,036 114,234 113,644 Etats-Unis
Total North America 103,897 103,196 102,564 48,212 48,668 49,442 52,236 51,060 49,653 3,449 3,467 3,469 39,488 39,592 39,633 143,385 142,788 142,197 Total Amérique du Nord
a Pulpwood, round and split, as well as chips and particles produced directly a Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood directement à partir des rondins et quartiers et utilisées comme bois de trituration
b Pitprops, poles, piling, posts etc. b Bois de mine, poteaux, pilotis, piquets etc.
c Including chips and particles produced from wood in the rough and c Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes à des fins energétiques

Table 10

TABLE 10
SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 16,101 13,943 13,638 10,382 8,638 9,038 6,664 5,710 5,000 945 405 400 Autriche
Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre
Czech Republic 8,002 6,511 6,962 14,019 10,094 9,589 411 596 715 6,428 4,178 3,343 République tchèque
Estonia 3,533 3,270 3,270 3,118 3,000 3,000 522 450 450 107 180 180 Estonie
Finland 24,310 21,336 21,991 24,662 21,700 22,351 127 79 83 479 443 443 Finlande
France 12,053 12,120 12,120 12,491 12,500 12,500 335 360 360 773 740 740 France
Germany 39,391 35,800 34,900 41,761 38,500 37,000 3,300 3,000 3,100 5,670 5,700 5,200 Allemagne
Hungary 175 201 208 175 201 208 0 0 0 0 0 0 Hongrie
Italy 1,645 1,396 1,396 1,169 1,169 1,169 580 457 457 104 230 230 Italie
Latvia 6,471 5,830 6,200 5,873 5,500 5,700 1,147 900 900 549 570 400 Lettonie
Luxembourg 465 403 396 124 122 115 693 424 424 352 143 143 Luxembourg
Montenegro 382 361 357 372 352 349 10 9 8 0 0 0 Monténégro
Netherlands 133 145 145 173 170 165 77 80 80 117 105 100 Pays-Bas
Poland 14,243 14,500 14,800 15,775 16,000 16,250 1,245 1,400 1,550 2,777 2,900 3,000 Pologne
Portugal 1,880 1,905 1,900 1,682 1,710 1,700 241 230 240 43 35 40 Portugal
Serbia 188 187 194 178 184 190 12 9 12 2 6 8 Serbie
Slovakia 3,059 3,030 3,100 2,559 2,430 2,400 900 950 1,000 400 350 300 Slovaquie
Slovenia 1,643 1,650 1,630 1,687 2,150 2,000 239 150 180 283 650 550 Slovénie
Spain 3,223 3,307 3,307 3,420 3,629 3,629 240 185 185 437 507 507 Espagne
Sweden 38,103 37,725 37,325 38,100 37,300 36,900 964 1,128 1,128 961 703 703 Suède
Switzerland 2,035 2,100 2,155 2,290 2,350 2,400 55 60 65 310 310 310 Suisse
United Kingdom 5,810 5,538 5,538 5,453 5,180 5,180 457 457 457 99 99 99 Royaume-Uni
Total Europe 182,849 171,260 171,534 185,467 172,881 171,836 18,218 16,634 16,394 20,836 18,255 16,696 Total Europe
Canada 105,870 103,492 103,916 110,046 108,424 108,424 1,346 1,402 1,309 5,522 6,333 5,816 Canada
United States 148,043 150,509 153,391 152,799 154,479 156,695 586 570 555 5,342 4,540 3,859 Etats-Unis
Total North America 253,913 254,001 257,307 262,845 262,903 265,119 1,931 1,972 1,864 10,863 10,873 9,675 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 11

TABLE 11
HARDWOOD SAWLOGS (total) GRUMES DE SCIAGES DES NON-CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 406 311 300 329 266 300 134 90 50 57 45 50 Autriche
Czech Republic 544 457 447 616 524 517 144 120 125 216 186 195 République tchèque
Estonia 1,187 1,244 1,244 1,158 1,200 1,200 46 60 60 16 16 16 Estonie
Finland 1,068 1,041 1,061 1,037 1,049 1,061 32 1 9 1 9 9 Finlande
France 3,453 4,020 4,120 4,707 4,700 4,800 116 120 120 1,370 800 800 France
Germany 2,532 2,290 2,130 2,995 2,700 2,500 111 110 110 574 520 480 Allemagne
Hungary 1,234 1,173 1,191 1,234 1,173 1,191 0 0 0 0 0 0 Hongrie
Italy 2,088 1,718 1,718 721 721 721 1,413 1,055 1,055 47 59 59 Italie
Latvia 1,221 1,190 1,410 1,730 1,750 1,750 87 40 60 596 600 400 Lettonie
Luxembourg 226 148 144 23 22 18 221 160 160 18 34 34 Luxembourg
Montenegro 143 140 138 143 140 138 0 0 0 0 0 0 Monténégro
Netherlands 54 60 60 48 50 50 54 60 60 48 50 50 Pays-Bas
Poland 2,687 2,730 2,830 2,757 2,800 2,900 80 80 80 150 150 150 Pologne
Portugal 997 885 925 356 330 360 663 580 590 22 25 25 Portugal
Serbia 894 922 946 899 920 940 15 20 28 20 18 22 Serbie
Slovakia 1,670 1,700 1,750 1,570 1,650 1,700 500 450 450 400 400 400 Slovaquie
Slovenia 281 290 280 497 630 600 31 30 30 247 370 350 Slovénie
Spain 833 854 854 730 775 775 164 174 174 61 94 94 Espagne
Sweden 217 217 217 180 180 180 37 37 37 0 0 0 Suède
Switzerland 145 155 160 265 275 280 35 40 40 155 160 160 Suisse
United Kingdom 78 77 77 56 56 56 26 26 26 5 5 5 Royaume-Uni
Total Europe 21,959 21,622 22,002 22,052 21,910 22,036 3,910 3,253 3,265 4,003 3,541 3,299 Total Europe
Canada 15,890 15,923 15,895 14,854 14,926 14,926 1,106 1,060 1,027 70 64 59 Canada
United States 31,550 32,311 33,431 33,358 33,742 34,516 221 156 156 2,028 1,587 1,241 Etats-Unis
Total North America 47,441 48,234 49,326 48,212 48,668 49,442 1,327 1,216 1,183 2,098 1,650 1,300 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 11a

TABLE 11a
HARDWOOD LOGS (temperate) GRUMES DE NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 406 311 300 329 266 300 134 90 50 57 45 50 Autriche
Czech Republic 544 457 447 616 524 517 144 120 125 216 186 195 République tchèque
Estonia 1,187 1,244 1,244 1,158 1,200 1,200 46 60 60 16 16 16 Estonie
Finland 1,068 1,041 1,061 1,037 1,049 1,061 32 1 9 1 9 9 Finlande
France 3,412 3,978 4,078 4,707 4,700 4,800 72 75 75 1,367 797 797 France
Germany 2,527 2,285 2,125 2,995 2,700 2,500 101 100 100 569 515 475 Allemagne
Hungary 1,234 1,173 1,191 1,234 1,173 1,191 0 0 0 0 0 0 Hongrie
Italy 2,068 1,729 1,729 721 721 721 1,389 1,047 1,047 42 39 39 Italie
Latvia 1,221 1,190 1,410 1,730 1,750 1,750 87 40 60 596 600 400 Lettonie
Luxembourg 226 148 144 23 22 18 221 160 160 18 34 34 Luxembourg
Montenegro 143 140 138 143 140 138 0 0 0 0 0 0 Monténégro
Netherlands 46 55 55 48 50 50 42 50 50 44 45 45 Pays-Bas
Poland 2,685 2,727 2,827 2,757 2,800 2,900 78 77 77 150 150 150 Pologne
Portugal 981 870 912 356 330 360 642 560 571 17 20 19 Portugal
Serbia 893 921 945 899 920 940 14 19 27 20 18 22 Serbie
Slovakia 1,670 1,700 1,750 1,570 1,650 1,700 500 450 450 400 400 400 Slovaquie
Slovenia 280 290 280 497 630 600 30 30 30 247 370 350 Slovénie
Spain 827 847 847 730 775 775 158 167 167 61 94 94 Espagne
Sweden 217 217 217 180 180 180 37 37 37 0 0 0 Suède
Switzerland 145 155 160 265 275 280 35 40 40 155 160 160 Suisse
United Kingdom 76 75 75 56 56 56 24 24 24 5 5 5 Royaume-Uni
Total Europe 21,857 21,553 21,935 22,052 21,910 22,036 3,786 3,146 3,158 3,980 3,503 3,260 Total Europe
Canada 15,890 15,923 15,895 14,854 14,926 14,926 1,106 1,060 1,027 70 64 59 Canada
United States 31,549 32,308 33,429 33,358 33,742 34,516 219 152 154 2,027 1,586 1,240 Etats-Unis
Total North America 47,440 48,231 49,324 48,212 48,668 49,442 1,325 1,212 1,181 2,097 1,649 1,299 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 11b

TABLE 11b
HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Net Trade Imports Exports
Country Commerce Net Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
France -41 -42 -42 44 45 45 3 3 3 France
Germany -5 -5 -5 10 10 10 5 5 5 Allemagne
Italy -20 11 11 25 9 9 4 20 20 Italie
Netherlands -8 -5 -5 12 10 10 4 5 5 Pays-Bas
Poland -2 -3 -3 2 3 3 0 0 0 Pologne
Portugal -16 -15 -13 21 20 19 5 5 6 Portugal
Serbia -1 -1 -1 1 1 1 0 0 0 Serbie
Slovenia -1 -0 -0 1 0 1 0 0 0 Slovénie
Spain -6 -7 -7 6 7 7 0 0 0 Espagne
United Kingdom -2 -2 -2 2 2 2 0 0 0 Royaume-Uni
Total Europe -102 -69 -67 124 107 106 22 38 39 Total Europe
United States -1 -3 -1 2 4 2 1 1 1 Etats-Unis
Total North America -1 -3 -1 2 4 2 1 1 1 Total Amérique du Nord

Table12

TABLE 12
PULPWOOD (total) BOIS DE TRITURATION (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 13,844 12,627 12,592 11,047 9,212 9,287 3,676 4,070 4,020 879 655 715 Autriche
Cyprus 8 9 10 7 8 9 1 1 1 0 0 0 Chypre
Czech Republic 5,559 5,135 5,154 7,664 6,164 6,130 1,270 1,146 1,162 3,375 2,175 2,138 République tchèque
Estonia 3,117 2,380 2,435 6,548 6,550 6,550 256 330 285 3,687 4,500 4,400 Estonie
Finland 48,404 47,241 49,358 44,923 44,026 45,568 5,037 4,969 5,545 1,556 1,755 1,755 Finlande
France 24,495 24,350 24,050 24,257 24,000 23,700 2,527 2,600 2,600 2,289 2,250 2,250 France
Germany 26,555 26,580 23,090 27,936 27,100 23,500 4,474 3,870 3,770 5,855 4,390 4,180 Allemagne
Hungary 2,122 2,017 2,065 2,049 1,984 2,023 112 73 82 39 39 39 Hongrie
Italy 4,508 5,210 5,210 3,916 4,618 4,618 1,288 1,288 1,288 696 696 696 Italie
Latvia 5,540 5,150 5,150 9,484 8,800 8,800 1,084 950 950 5,028 4,600 4,600 Lettonie
Luxembourg 583 589 589 577 559 559 182 130 130 176 100 100 Luxembourg
Malta 2 3 3 0 0 0 2 3 3 0 0 0 Malte
Montenegro 245 241 227 245 241 227 0 0 0 0 0 0 Monténégro
Netherlands 604 1,100 1,095 1,267 1,240 1,230 289 100 105 952 240 240 Pays-Bas
Poland 35,250 36,265 37,135 33,531 34,600 35,450 3,652 3,660 3,710 1,933 1,995 2,025 Pologne
Portugal 15,954 15,330 15,365 11,664 11,720 11,590 4,657 4,000 4,140 368 390 365 Portugal
Serbia 981 1,007 1,045 967 1,000 1,033 15 8 13 1 1 1 Serbie
Slovakia 3,634 3,650 3,760 3,821 3,860 3,950 1,023 1,030 1,050 1,210 1,240 1,240 Slovaquie
Slovenia 926 770 790 2,058 2,280 2,230 625 490 530 1,757 2,000 1,970 Slovénie
Spain 13,959 14,358 14,358 14,383 15,261 15,261 1,435 1,564 1,564 1,859 2,467 2,467 Espagne
Sweden 55,632 54,193 54,727 50,015 48,196 48,730 7,036 7,750 7,750 1,419 1,753 1,753 Suède
Switzerland 1,823 1,824 1,829 1,216 1,217 1,222 795 795 795 188 188 188 Suisse
United Kingdom 4,590 4,471 4,471 4,293 4,175 4,175 406 405 405 109 109 109 Royaume-Uni
Total Europe 268,336 264,500 264,508 261,870 256,811 255,841 39,843 39,232 39,898 33,377 31,543 31,231 Total Europe
Canada 37,044 35,822 35,734 35,326 32,985 32,975 2,578 3,462 3,467 860 625 708 Canada
United States 238,450 239,587 240,850 244,912 246,110 247,536 348 324 308 6,809 6,848 6,994 Etats-Unis
Total North America 275,495 275,409 276,585 280,238 279,096 280,511 2,926 3,786 3,776 7,670 7,473 7,702 Total Amérique du Nord
Includes wood residues, chips and particles for all purposes Comprend les dechets de bois, plaquettes et particules pour toute utilisation
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 12a

TABLE 12a
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Softwood Conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 3,681 3,895 3,850 2,576 2,235 2,300 1,312 1,750 1,700 206 90 150 Autriche
Czech Republic 3,927 3,744 3,675 5,316 4,253 4,125 811 811 830 2,200 1,320 1,280 République tchèque
Estonia 476 245 245 878 900 900 56 45 45 458 700 700 Estonie
Finland 22,913 24,189 25,835 22,746 23,764 25,239 1,163 1,410 1,581 996 985 985 Finlande
France 4,689 4,400 4,100 4,559 4,300 4,000 608 550 550 478 450 450 France
Germany 10,311 11,900 9,500 10,541 11,500 9,000 2,200 2,100 2,000 2,430 1,700 1,500 Allemagne
Hungary 411 488 481 411 488 481 0 0 0 0 0 0 Hongrie
Italy 148 853 853 148 853 853 0 0 0 0 0 0 Italie
Latvia 1,775 1,700 1,700 1,850 1,800 1,800 374 400 400 449 500 500 Lettonie
Luxembourg -16 -18 -16 10 6 8 9 3 3 35 27 27 Luxembourg
Montenegro 201 198 186 201 198 186 0 0 0 0 0 0 Monténégro
Netherlands 146 150 145 244 240 235 70 80 85 168 170 175 Pays-Bas
Poland 15,378 15,900 16,300 15,411 15,950 16,250 1,428 1,500 1,650 1,462 1,550 1,600 Pologne
Portugal 1,323 1,430 1,375 1,213 1,350 1,300 122 100 90 12 20 15 Portugal
Serbia 66 70 74 66 70 73 0 0 1 0 0 0 Serbie
Slovakia 598 600 610 748 710 700 600 630 650 750 740 740 Slovaquie
Slovenia 264 200 220 275 430 380 268 170 200 278 400 360 Slovénie
Spain 3,369 3,467 3,467 3,754 3,984 3,984 179 138 138 564 655 655 Espagne
Sweden 28,513 27,431 27,944 26,353 25,310 25,823 3,114 3,269 3,269 954 1,148 1,148 Suède
Switzerland 209 210 210 279 280 280 20 20 20 90 90 90 Suisse
United Kingdom 1,894 1,776 1,776 1,633 1,516 1,516 291 291 291 31 31 31 Royaume-Uni
Total Europe 100,275 102,827 102,530 99,212 100,136 99,433 12,625 13,267 13,503 11,562 10,576 10,406 Total Europe
Canada 4,531 4,347 4,410 4,229 4,021 4,021 324 336 401 22 10 12 Canada
United States 141,231 142,785 144,831 141,226 142,779 144,827 5 6 4 0 0 0 Etats-Unis
Total North America 145,762 147,132 149,241 145,455 146,800 148,848 329 341 405 22 10 12 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 12b

TABLE 12b
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Hardwood Non-conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 1,217 997 1,007 647 577 587 668 500 500 98 80 80 Autriche
Czech Republic 450 380 384 649 552 550 3 2 2 202 174 168 République tchèque
Estonia 363 200 250 1,270 1,250 1,250 154 250 200 1,060 1,300 1,200 Estonie
Finland 8,997 7,940 8,052 7,801 6,884 6,784 1,550 1,633 1,845 354 577 577 Finlande
France 2,386 2,250 2,250 3,332 3,200 3,200 43 50 50 989 1,000 1,000 France
Germany 1,116 1,180 1,090 1,103 1,100 1,000 259 270 270 246 190 180 Allemagne
Hungary 502 507 526 502 507 526 0 0 0 0 0 0 Hongrie
Italy 168 166 166 168 166 166 0 0 0 0 0 0 Italie
Latvia 172 200 200 2,018 2,000 2,000 244 100 100 2,090 1,900 1,900 Lettonie
Luxembourg 77 71 69 46 32 30 36 48 48 5 9 9 Luxembourg
Netherlands 62 50 55 108 100 100 21 20 20 67 70 65 Pays-Bas
Poland 4,424 4,635 4,785 3,939 4,150 4,300 560 560 560 75 75 75 Pologne
Portugal 10,495 10,300 10,260 8,586 8,500 8,400 2,100 2,000 2,050 191 200 190 Portugal
Serbia 199 205 210 199 205 210 0 0 0 0 0 0 Serbie
Slovakia 1,874 1,950 2,000 1,924 2,000 2,050 100 100 100 150 150 150 Slovaquie
Slovenia 137 120 130 424 490 450 84 80 90 371 450 410 Slovénie
Spain 5,422 5,288 5,288 6,059 6,429 6,429 269 291 291 906 1,432 1,432 Espagne
Sweden 8,517 8,412 8,533 6,232 5,986 6,107 2,313 2,481 2,481 28 55 55 Suède
Switzerland 128 128 133 165 165 170 3 3 3 40 40 40 Suisse
United Kingdom 23 22 22 13 13 13 18 18 18 9 9 9 Royaume-Uni
Total Europe 46,729 45,001 45,410 45,185 44,305 44,322 8,426 8,406 8,628 6,881 7,711 7,540 Total Europe
Canada 10,554 10,654 10,644 10,812 10,843 10,843 38 36 30 296 225 228 Canada
United States 41,407 40,200 38,795 41,424 40,217 38,810 58 32 18 75 50 33 Etats-Unis
Total North America 51,961 50,854 49,439 52,236 51,060 49,653 96 68 48 371 275 261 Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce

Table 12c

TABLE 12c
WOOD RESIDUES, CHIPS AND PARTICLES DECHETS DE BOIS, PLAQUETTES ET PARTICULES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 8,945 7,735 7,735 7,824 6,400 6,400 1,696 1,820 1,820 575 485 485 Autriche
Cyprus 8 9 10 7 8 9 1 1 1 0 0 0 Chypre
Czech Republic 1,182 1,011 1,094 1,699 1,359 1,454 456 333 330 973 681 690 République tchèque
Estonia 2,278 1,935 1,940 4,400 4,400 4,400 47 35 40 2,169 2,500 2,500 Estonie
Finland 16,494 15,112 15,471 14,376 13,378 13,545 2,324 1,926 2,119 206 193 193 Finlande
France 17,420 17,700 17,700 16,366 16,500 16,500 1,876 2,000 2,000 822 800 800 France
Germany 15,128 13,500 12,500 16,292 14,500 13,500 2,015 1,500 1,500 3,179 2,500 2,500 Allemagne
Hungary 1,209 1,022 1,057 1,137 989 1,015 112 73 82 39 39 39 Hongrie
Italy 4,192 4,192 4,192 3,600 3,600 3,600 1,288 1,288 1,288 696 696 696 Italie
Latvia 3,593 3,250 3,250 5,616 5,000 5,000 466 450 450 2,489 2,200 2,200 Lettonie
Luxembourg 522 536 536 521 521 521 137 79 79 136 64 64 Luxembourg
Malta 2 3 3 0 0 0 2 3 3 0 0 0 Malte
Montenegro 44 43 41 44 43 41 0 0 0 0 0 0 Monténégro
Netherlands 396 900 895 915 900 895 198 0 0 717 0 0 Pays-Bas
Poland 15,448 15,730 16,050 14,181 14,500 14,900 1,664 1,600 1,500 396 370 350 Pologne
Portugal 4,136 3,600 3,730 1,865 1,870 1,890 2,435 1,900 2,000 165 170 160 Portugal
Serbia 716 732 761 702 725 750 15 8 12 1 1 1 Serbie
Slovakia 1,162 1,100 1,150 1,149 1,150 1,200 323 300 300 310 350 350 Slovaquie
Slovenia 525 450 440 1,360 1,360 1,400 273 240 240 1,107 1,150 1,200 Slovénie
Spain 5,169 5,603 5,603 4,570 4,849 4,849 987 1,135 1,135 388 380 380 Espagne
Sweden 18,602 18,350 18,250 17,430 16,900 16,800 1,609 2,000 2,000 437 550 550 Suède
Switzerland 1,486 1,486 1,486 772 772 772 772 772 772 58 58 58 Suisse
United Kingdom 2,673 2,673 2,673 2,646 2,646 2,646 96 96 96 69 69 69 Royaume-Uni
Total Europe 121,332 116,673 116,568 117,472 112,370 112,087 18,793 17,559 17,767 14,933 13,256 13,285 Total Europe
Canada 21,959 20,821 20,680 20,285 18,121 18,111 2,216 3,090 3,037 542 390 467 Canada
United States 55,812 56,602 57,224 62,262 63,114 63,899 285 286 286 6,734 6,798 6,961 Etats-Unis
Total North America 77,771 77,423 77,904 82,547 81,235 82,010 2,500 3,376 3,323 7,277 7,188 7,428 Total Amérique du Nord

Table 13

TABLE 13
WOOD PELLETS GRANULES DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption Imports Exports
Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
Austria 1,290 1,497 1,450 1,691 1,938 2,050 344 309 300 745 750 900 Autriche
Cyprus 8 5 5 0 0 0 8 5 5 0 0 0 Chypre
Czech Republic 234 215 225 540 459 482 38 38 40 344 282 296 République tchèque
Estonia 284 300 230 1,650 1,350 1,300 12 50 30 1,378 1,100 1,100 Estonie
Finland 530 541 562 360 380 405 188 163 160 18 2 3 Finlande
France 2,735 3,260 3,660 2,050 2,250 2,450 775 1,100 1,300 90 90 90 France
Germany 3,328 3,540 3,720 3,569 3,700 3,900 443 480 420 684 640 600 Allemagne
Hungary 63 44 50 62 43 49 11 13 12 11 12 12 Hongrie
Italy 2,359 2,359 2,359 450 450 450 1,916 1,916 1,916 7 7 7 Italie
Latvia 621 750 750 1,980 2,000 2,000 326 350 350 1,685 1,600 1,600 Lettonie
Luxembourg 61 72 72 63 63 63 17 11 11 19 2 2 Luxembourg
Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte
Montenegro 18 25 26 83 84 84 0 0 0 65 59 58 Monténégro
Netherlands 5,354 5,354 5,354 268 268 268 5,551 5,551 5,551 465 465 465 Pays-Bas
Poland 842 920 1,100 1,152 1,200 1,350 366 370 380 677 650 630 Pologne
Portugal 228 225 220 747 740 735 4 5 5 523 520 520 Portugal
Serbia 478 460 485 418 450 480 83 70 80 23 60 75 Serbie
Slovakia 22 175 175 390 450 450 47 75 75 415 350 350 Slovaquie
Slovenia 125 155 150 164 175 180 126 120 130 165 140 160 Slovénie
Spain 867 907 907 1,007 1,007 1,007 65 46 46 206 146 146 Espagne
Sweden 1,776 1,800 1,850 1,809 1,750 1,800 199 210 210 232 160 160 Suède
Switzerland 410 415 420 330 335 340 80 80 80 0 0 0 Suisse
United Kingdom 7,819 7,830 7,830 327 330 330 7,516 7,520 7,520 23 20 20 Royaume-Uni
Total Europe 29,451 30,850 31,601 19,110 19,422 20,173 18,114 18,482 18,621 7,774 7,055 7,194 Total Europe
Canada 368 420 179 3,830 3,830 3,830 31 52 56 3,493 3,462 3,707 Canada
United States 761 273 152 9,544 9,744 9,948 194 174 155 8,977 9,644 9,951 Etats-Unis
Total North America 1,129 694 331 13,374 13,574 13,778 225 226 211 12,470 13,106 13,659 Total Amérique du Nord

Table 14

TABLE 14
Europe: Summary table of market forecasts for 2023 and 2024
Europe: Tableau récapitulatif des prévisions du marché pour 2023 et 2024
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 75.92 69.01 68.49 96.71 89.54 88.44 29.69 25.67 25.93 50.49 46.20 45.88 Sciages conifères
Softwood logs a 182.85 171.26 171.53 185.47 172.88 171.84 18.22 16.63 16.39 20.84 18.25 16.70 Grumes de conifères a
Sawn hardwood 7.02 6.65 6.70 6.93 6.45 6.61 4.18 3.86 3.81 4.09 3.66 3.72 Sciages non-conifères
– temperate zone b 6.45 6.14 6.18 6.87 6.40 6.55 3.28 3.07 3.02 3.70 3.33 3.39 – zone tempérée b
– tropical zone b 0.57 0.51 0.52 0.06 0.05 0.06 0.90 0.79 0.79 0.39 0.32 0.32 – zone tropicale b
Hardwood logs a 21.96 21.62 22.00 22.05 21.91 22.04 3.91 3.25 3.26 4.00 3.54 3.30 Grumes de non-conifères a
– temperate zone b 21.86 21.55 21.93 22.05 21.91 22.04 3.79 3.15 3.16 3.98 3.50 3.26 – zone tempérée b
– tropical zone b 0.10 0.07 0.07 0.12 0.11 0.11 0.02 0.04 0.04 – zone tropicale b
Veneer sheets 1.58 1.49 1.49 1.00 0.97 0.96 1.42 1.28 1.29 0.84 0.76 0.76 Feuilles de placage
Plywood 6.62 6.21 5.92 4.17 3.93 3.97 6.42 5.79 5.48 3.96 3.50 3.53 Contreplaqués
Particle board (excluding OSB) 28.12 26.41 26.52 28.01 26.71 26.91 10.02 9.58 9.55 9.92 9.88 9.94 Pann. de particules (sauf OSB)
OSB 5.27 5.06 5.09 4.89 4.89 5.02 3.20 2.96 2.94 2.83 2.78 2.87 OSB
Fibreboard 15.80 14.89 15.09 16.15 15.31 15.42 8.76 8.01 8.04 9.11 8.43 8.37 Panneaux de fibres
– Hardboard 0.79 0.82 0.90 0.48 0.47 0.47 1.47 1.44 1.46 1.17 1.09 1.04 – Durs
– MDF 11.42 10.85 10.97 12.16 11.62 11.68 5.21 4.61 4.62 5.95 5.38 5.33 – MDF
– Other board 3.59 3.22 3.22 3.51 3.22 3.27 2.07 1.97 1.96 1.99 1.96 2.01 – Autres panneaux
Pulpwood a 268.34 264.50 264.51 261.87 256.81 255.84 39.84 39.23 39.90 33.38 31.54 31.23 Bois de trituration a
– Pulp logs 147.00 147.83 147.94 144.40 144.44 143.75 21.05 21.67 22.13 18.44 18.29 17.95 – Bois ronds de trituration
– softwood 100.28 102.83 102.53 99.21 100.14 99.43 12.63 13.27 13.50 11.56 10.58 10.41 – conifères
– hardwood 46.73 45.00 45.41 45.18 44.31 44.32 8.43 8.41 8.63 6.88 7.71 7.54 – non-conifères
– Residues, chips and particles 121.33 116.67 116.57 117.47 112.37 112.09 18.79 17.56 17.77 14.93 13.26 13.29 – Déchets, plaquettes et part.
Wood pulp 37.60 34.07 35.28 34.64 32.24 33.81 17.33 16.19 16.59 14.37 14.37 15.12 Pâte de bois
Paper and paperboard 72.76 66.14 69.44 83.10 73.88 79.49 43.20 39.62 41.48 53.55 47.36 51.53 Papiers et cartons
Wood Pellets 29.45 30.85 31.60 19.11 19.42 20.17 18.11 18.48 18.62 7.77 7.05 7.19 Granulés de bois
a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce
b Trade figures by zone do not equal the total as some countries cannot provide data for both zones b Les chiffres du commerce par zone ne correspondent pas aux totaux
en raison du fait que certains pays ne peuvent les différencier.

Table 15

TABLE 15
North America: Summary table of market forecasts for 2023 and 2024
Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2023 et 2024
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente Production Imports - Importations Exports - Exportations
2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 91.63 89.85 90.39 100.44 97.41 95.73 27.09 26.48 27.10 35.90 34.04 32.43 Sciages conifères
Softwood logs 253.91 254.00 257.31 262.84 262.90 265.12 1.93 1.97 1.86 10.86 10.87 9.68 Grumes de conifères
Sawn hardwood 15.85 16.16 16.46 18.50 18.72 19.03 1.59 1.63 1.56 4.23 4.19 4.13 Sciages non-conifères
– temperate zone 15.57 15.89 16.19 18.50 18.72 19.03 1.29 1.33 1.26 4.21 4.16 4.10 – zone tempérée
– tropical zone 0.29 0.27 0.27 0.00 0.00 0.00 0.31 0.30 0.30 0.02 0.03 0.03 – zone tropicale
Hardwood logs 47.44 48.23 49.33 48.21 48.67 49.44 1.33 1.22 1.18 2.10 1.65 1.30 Grumes de non-conifères
– temperate zone 47.44 48.23 49.32 48.21 48.67 49.44 1.32 1.21 1.18 2.10 1.65 1.30 – zone tempérée
– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale
Veneer sheets 2.85 2.93 2.97 2.87 2.89 2.91 0.86 0.88 0.89 0.88 0.83 0.84 Feuilles de placage
Plywood 16.92 16.92 17.31 10.86 10.90 11.05 7.48 7.37 7.68 1.43 1.36 1.42 Contreplaqués
Particle board (excluding OSB) 6.66 7.45 7.46 6.11 6.58 6.55 1.75 1.97 1.98 1.19 1.10 1.07 Pann. de particules (sauf OSB)
OSB 21.20 21.09 21.35 20.86 20.60 20.86 6.28 6.30 6.39 5.94 5.82 5.89 OSB
Fibreboard 9.92 9.93 10.07 7.64 7.71 7.87 4.18 3.92 3.92 1.90 1.69 1.72 Panneaux de fibres
– Hardboard 0.51 0.56 0.56 0.53 0.59 0.60 0.31 0.28 0.29 0.32 0.32 0.33 – Durs
– MDF 6.21 6.23 6.23 3.83 3.88 3.89 3.55 3.35 3.32 1.17 0.99 0.98 – MDF
– Other board 3.20 3.15 3.28 3.28 3.24 3.38 0.32 0.29 0.31 0.40 0.38 0.41 – Autres panneaux
Pulpwood 275.49 275.41 276.58 280.24 279.10 280.51 2.93 3.79 3.78 7.67 7.47 7.70 Bois de trituration
– Pulp logs 197.72 197.99 198.68 197.69 197.86 198.50 0.43 0.41 0.45 0.39 0.28 0.27 – Bois ronds de trituration
– softwood 145.76 147.13 149.24 145.45 146.80 148.85 0.33 0.34 0.41 0.02 0.01 0.01 – conifères
– hardwood 51.96 50.85 49.44 52.24 51.06 49.65 0.10 0.07 0.05 0.37 0.27 0.26 – non-conifères
– Residues, chips and particles 77.77 77.42 77.90 82.55 81.23 82.01 2.50 3.38 3.32 7.28 7.19 7.43 – Déchets, plaquettes et part.
Wood pulp 45.79 48.12 48.43 55.02 54.33 54.12 7.42 8.22 8.89 16.65 14.44 14.58 Pâte de bois
Paper and paperboard 69.75 68.96 69.26 75.05 73.60 73.63 10.72 10.42 10.39 16.02 15.06 14.77 Papiers et cartons
Wood pellets 1.13 0.69 0.33 13.37 13.57 13.78 0.23 0.23 0.21 12.47 13.11 13.66 Granulés de bois

List of Tables and Notes Table 1 - Sawn Softwood Table 2 - Sawn Hardwood (total) Table 2a - Sawn Hardwood (temperate) Table 2b - Sawn Hardwood (tropical) Table 3 - Veneer Sheets Table 4 - Plywood Table 5 - Particle Board (excluding OSB) Table 5a - Oriented Strand Board Table 6 - Fibreboard Table 6a - Hardboard Table 6b - MDF/HDF Table 6c - Other Fibreboard Table 7 - Wood Pulp Table 8 - Paper and Paperboard Table 9 - Removals of wood in the rough Table 9a - Removals of wood in the rough (softwood) Table 9b - Removals of wood in the rough (hardwood) Table 10 - Softwood sawlogs Table 11 - Hardwood sawlogs Table 11a - Hardwood logs (temperate) Table 11b - Hardwood logs (tropical) Table 12 - Pulpwood Table 12a - Pulpwood (softwood) Table 12b - Pulpwood (hardwood) Table 12c - Wood Residues, Chips and Particles Table 13 - Wood Pellets Table 14 - Europe: Summary table of market forecasts for 2023 and 2024 Table 15 - North America: Summary table of market forecasts for 2023 and 2024

Source: UNECE Committee on Forests and the Forest Industry , November 2023, http://www.unece.org/forests/fpm/timbercommittee.html

Notes: Data in italics are estimated by the secretariat. EECCA is Eastern Europe, Caucasus and Central Asia. Data for the two latest years are forecasts. In contrast to previous years, data are shown only for countries providing forecasts. Sub-regional totals are only for reporting countries.

For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.

Softwood = coniferous, hardwood = non-coniferous For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year. Countries with nil, missing or confidential data for all years on a table are not shown.

Uzbekistan – data extrapolated by the Secretariat based on national data for the first eight months 2023. Poland - The trade turnover is based on data that includes the estimated value of trade turnover by entities exempt from the reporting obligation. These trade turnover figures are estimated at 3%. Roundwood: sawlogs and veneer logs and pulpwood and wood fuel - with removals from trees and shrubs outside the forest, including forest chips, with stump. Residues - production excluding recovered wood.

In contrast to years prior to 2020, data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subreg Confidential data have not been included. Please inform secretariat in case you notice any confidential data which might have been included inadvertently.

Wherever the forecast data is incomplete, then data is repeated to avoid skewing.

Countries with nil, missing or confidential data for all years on a table are not shown. Consumption figures are the sum of production and national imports minus national exports. Softwood = coniferous, hardwood = non-coniferous. United Kingdom production figures for OSB is secretariat estimate.

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 6,141 4,978 4,978 10,104 8,588 8,588 1,784 1,270 1,270 5,747 4,880 4,880 Autriche Cyprus 33 34 34 1 1 1 32 33 33 0 0 0 Chypre Czech Republic 2,965 2,343 2,470 4,720 3,776 4,040 583 414 350 2,338 1,847 1,920 République tchèque Estonia 2,068 1,550 1,550 1,725 1,500 1,500 1,209 700 700 866 650 650 Estonie Finland 2,938 2,420 2,420 11,200 10,300 10,400 305 20 20 8,567 7,900 8,000 Finlande France 8,633 8,750 8,800 7,168 7,200 7,300 2,350 2,450 2,400 885 900 900 France Germany 17,294 14,900 13,300 24,309 21,400 19,800 4,146 2,700 3,000 11,162 9,200 9,500 Allemagne Hungary 788 902 918 85 96 86 717 821 842 14 15 11 Hongrie Italy 4,790 4,302 4,302 400 400 400 4,608 4,157 4,157 217 255 255 Italie Latvia 1,025 950 950 3,102 3,000 3,000 829 750 750 2,906 2,800 2,800 Lettonie Luxembourg 71 122 122 39 39 39 43 91 91 11 8 8 Luxembourg Malta 7 9 9 0 0 0 7 9 9 0 0 0 Malte Montenegro 30 30 29 118 115 112 10 9 7 98 94 90 Monténégro Netherlands 2,259 2,088 2,029 115 115 115 2,659 2,473 2,399 515 500 485 Pays-Bas Poland 4,631 4,630 4,800 4,144 4,100 4,200 1,219 1,240 1,300 732 710 700 Pologne Portugal 696 686 685 807 815 820 130 130 125 242 259 260 Portugal Serbia 367 361 383 91 95 98 281 270 290 5 4 5 Serbie Slovakia 847 810 860 1,430 1,360 1,400 480 450 460 1,063 1,000 1,000 Slovaquie Slovenia 665 670 660 983 990 980 530 530 530 848 850 850 Slovénie Spain 4,029 4,001 4,001 3,006 3,189 3,189 1,166 956 956 143 144 144 Espagne Sweden 5,709 5,050 5,650 18,870 18,400 18,300 587 500 450 13,748 13,850 13,100 Suède Switzerland 1,271 1,300 1,325 1,186 1,200 1,210 300 310 320 215 210 205 Suisse United Kingdom 8,663 8,125 8,214 3,108 2,860 2,860 5,719 5,385 5,474 165 120 120 Royaume-Uni Total Europe 75,919 69,011 68,490 96,712 89,540 88,439 29,694 25,668 25,934 50,487 46,197 45,883 Total Europe Uzbekistan 2,256 1,498 1,498 0 0 0 2,256 1,498 1,498 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada a 3,707 2,691 2,242 36,398 33,228 31,331 891 988 948 33,581 31,525 30,037 Canada a

United States a 87,925 87,155 88,151 64,039 64,178 64,399 26,202 25,492 26,149 2,316 2,515 2,397 Etats-Unis a

Total North America 91,632 89,846 90,393 100,437 97,406 95,730 27,093 26,480 27,097 35,898 34,040 32,434 Total Amérique du Nord a converted from nominal to actual size using factor of 0.72 a convertis du dimension nominale au véritable avec une facteur du 0.72

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 1 SAWN SOFTWOOD SCIAGES CONIFERES

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 310 222 222 238 202 202 217 140 140 145 120 120 Autriche Cyprus 11 7 7 0 0 0 11 7 7 0 0 0 Chypre Czech Republic 324 245 240 222 167 175 136 103 105 34 24 40 République tchèque Estonia 232 125 125 175 125 125 147 60 60 90 60 60 Estonie Finland 84 44 44 73 40 40 34 24 24 23 20 20 Finlande France 1,124 1,140 1,150 1,446 1,300 1,400 264 420 350 586 580 600 France Germany 693 650 650 997 800 800 395 300 300 699 450 450 Allemagne Hungary 258 150 131 414 343 342 45 38 30 200 231 241 Hongrie Italy 798 776 776 500 500 500 637 578 578 339 302 302 Italie Latvia 5 105 105 720 800 800 54 55 55 769 750 750 Lettonie Luxembourg 96 98 98 39 39 39 64 65 65 7 6 6 Luxembourg Malta 7 8 9 0 0 0 7 8 9 0 0 0 Malte Montenegro 11 8 10 39 35 34 2 1 1 30 28 25 Monténégro Netherlands 238 213 203 34 34 34 314 289 279 110 110 110 Pays-Bas Poland 495 470 500 487 450 460 267 270 300 259 250 260 Pologne Portugal 369 295 290 182 185 190 287 200 190 100 90 90 Portugal Serbia 172 215 225 343 370 385 64 60 70 235 215 230 Serbie Slovakia 235 240 275 385 400 420 55 50 55 205 210 200 Slovaquie Slovenia 106 145 145 143 145 145 83 80 80 121 80 80 Slovénie Spain 425 467 467 302 321 321 175 193 193 53 47 47 Espagne Sweden 142 140 140 100 100 100 83 80 80 41 40 40 Suède Switzerland 78 79 81 52 53 54 50 51 52 24 25 25 Suisse United Kingdom 807 810 810 37 40 40 787 790 790 17 20 20 Royaume-Uni Total Europe 7,019 6,652 6,703 6,928 6,449 6,606 4,177 3,862 3,813 4,086 3,658 3,716 Total Europe Uzbekistan 228 208 208 195 195 195 33 16 16 0 3 3 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 1,208 1,324 1,242 859 893 815 793 826 738 444 395 311 Canada United States 14,647 14,835 15,217 17,637 17,827 18,214 798 805 820 3,788 3,797 3,817 Etats-Unis Total North America 15,855 16,159 16,459 18,496 18,720 19,029 1,591 1,631 1,558 4,231 4,192 4,128 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 2 SAWN HARDWOOD (total) SCIAGES NON-CONIFERES (total)

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 306 219 219 238 202 202 213 136 136 144 119 119 Autriche Cyprus 9 5 5 0 0 0 8 5 5 0 0 0 Chypre Czech Republic 307 229 223 222 167 175 119 86 88 34 24 40 République tchèque Estonia 230 122 122 175 125 125 142 56 56 87 59 59 Estonie Finland 80 40 40 73 40 40 26 16 16 19 16 16 Finlande France 960 988 988 1,420 1,285 1,375 123 280 210 583 577 597 France Germany 664 630 630 997 800 800 315 240 240 649 410 410 Allemagne Hungary 257 147 127 414 343 342 43 35 26 200 230 241 Hongrie Italy 819 791 791 495 495 495 476 423 423 152 127 127 Italie Latvia 5 105 105 720 800 800 54 55 55 769 750 750 Lettonie Luxembourg 92 96 96 39 39 39 60 63 63 7 6 6 Luxembourg Malta 6 7 8 0 0 0 6 7 8 0 0 0 Malte Montenegro 11 8 10 39 35 34 2 1 1 30 28 25 Monténégro Netherlands 89 80 77 27 27 27 117 108 105 55 55 55 Pays-Bas Poland 484 459 488 487 450 460 254 257 286 257 248 258 Pologne Portugal 319 272 268 170 172 178 180 150 140 31 50 50 Portugal Serbia 167 211 220 342 369 384 59 57 66 234 215 230 Serbie Slovakia 235 240 275 385 400 420 55 50 55 205 210 200 Slovaquie Slovenia 104 143 143 143 145 145 81 78 78 120 80 80 Slovénie Spain 383 417 417 300 318 318 128 142 142 45 43 43 Espagne Sweden 142 139 139 100 100 100 83 79 79 41 40 40 Suède Switzerland 69 70 72 49 50 51 44 45 46 24 25 25 Suisse United Kingdom 716 720 720 37 40 40 693 700 700 14 20 20 Royaume-Uni Total Europe 6,453 6,138 6,183 6,872 6,402 6,550 3,281 3,069 3,025 3,700 3,334 3,392 Total Europe Uzbekistan 227 207 207 195 195 195 33 15 15 0 3 3 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 1,191 1,316 1,236 859 893 815 762 805 715 430 382 294 Canada United States 14,379 14,578 14,957 17,637 17,827 18,214 523 529 544 3,782 3,778 3,801 Etats-Unis Total North America 15,569 15,893 16,193 18,496 18,720 19,029 1,285 1,334 1,259 4,212 4,160 4,095 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 2a SAWN HARDWOOD (temperate) SCIAGES NON-CONIFERES (zone tempérée)

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 3 3 3 0 0 0 4 4 4 1 1 1 Autriche Bulgaria 0 0 0 0 0 0 0 0 0 0 0 0 Bulgarie Cyprus 3 2 2 0 0 0 3 2 2 0 0 0 Chypre Czech Republic 17 17 17 0 0 0 17 17 17 0 0 0 République tchèque Estonia 2 3 3 0 0 0 5 4 4 3 1 1 Estonie Finland 4 4 4 0 0 0 8 8 8 4 4 4 Finlande France 164 152 162 26 15 25 141 140 140 3 3 3 France Germany 29 20 20 0 0 0 79 60 60 50 40 40 Allemagne Hungary 2 3 4 0 0 0 2 4 4 0 0 0 Hongrie Italy -21 -15 -15 5 5 5 161 154 154 187 175 175 Italie Luxembourg 4 2 2 0 0 0 4 2 2 0 0 0 Luxembourg Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte Netherlands 149 133 126 7 7 7 197 181 174 55 55 55 Pays-Bas Poland 10 11 12 0 0 0 12 13 14 2 2 2 Pologne Portugal 50 23 22 12 13 12 107 50 50 69 40 40 Portugal Serbia 5 4 5 1 1 1 5 3 4 1 0 0 Serbie Slovenia 2 2 2 0 0 0 2 2 2 0 0 0 Slovénie Spain 42 49 49 2 2 2 47 50 50 7 4 4 Espagne Sweden 1 1 1 0 0 0 1 1 1 0 0 0 Suède Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse United Kingdom 91 90 90 0 0 0 94 90 90 3 0 0 Royaume-Uni Total Europe 566 515 519 56 46 55 896 793 788 386 324 324 Total Europe Canada 17 8 7 0 0 0 31 21 23 14 13 16 Canada United States 269 257 260 0 0 0 275 276 276 6 19 16 Etats-Unis Total North America 286 266 266 0 0 0 305 297 299 20 31 32 Total Amérique du Nord

1000 m3

Apparent Consumption Country Consommation Apparente Production Imports - Importations

TABLE 2b SAWN HARDWOOD (tropical) SCIAGES NON-CONIFERES (tropicale)

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

Exports - Exportations Pays

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 74 39 39 8 8 8 83 45 45 17 14 14 Autriche Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre Czech Republic 28 28 27 28 16 17 58 53 50 58 41 40 République tchèque Estonia 111 125 125 105 110 110 87 95 95 82 80 80 Estonie Finland 27 21 21 190 160 160 12 10 10 175 149 149 Finlande France 366 366 366 157 157 157 273 273 273 64 64 64 France Germany 157 143 125 110 105 105 99 78 70 52 40 50 Allemagne Hungary 23 25 20 13 18 13 39 39 39 28 31 32 Hongrie Italy 344 308 308 107 107 107 274 234 234 37 33 33 Italie Latvia 105 105 105 40 50 50 140 140 140 75 85 85 Lettonie Luxembourg 1 0 0 0 0 0 1 0 0 0 0 0 Luxembourg Malta 1 2 3 0 0 0 1 2 3 0 0 0 Malte Netherlands 15 13 13 0 0 0 17 15 15 3 3 3 Pays-Bas Poland 121 121 129 45 42 45 92 94 98 16 15 14 Pologne Portugal 12 20 35 20 30 25 38 40 50 46 50 40 Portugal Serbia 4 4 5 30 28 30 8 6 8 34 30 33 Serbie Slovakia 17 25 25 21 25 25 27 30 30 31 30 30 Slovaquie Slovenia 9 8 9 28 27 25 13 14 14 32 33 30 Slovénie Spain 122 92 92 40 36 36 127 90 90 45 34 34 Espagne Sweden 32 31 31 60 50 50 19 10 10 47 29 29 Suède Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse United Kingdom 6 10 10 0 0 0 7 10 10 1 0 0 Royaume-Uni Total Europe 1,577 1,490 1,491 1,002 969 962 1,419 1,283 1,288 843 762 760 Total Europe Uzbekistan 4 4 4 3 3 3 2 1 1 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A 0 Total EOCAC Canada 204 262 267 581 581 581 212 218 230 590 537 544 Canada United States 2,643 2,670 2,699 2,284 2,306 2,329 652 658 664 293 294 294 Etats-Unis Total North America 2,847 2,932 2,966 2,866 2,887 2,910 864 876 894 883 831 838 Total Amérique du Nord Note: Definition of veneers excludes domestic use for plywood. La définition des placages exclus la conversion directe en contreplaqué.

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 3 VENEER SHEETS FEUILLES DE PLACAGE

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 19 15 15 131 155 155 183 150 150 296 290 290 Autriche Cyprus 14 15 15 0 0 0 14 15 15 0 0 0 Chypre Czech Republic 193 116 123 240 236 238 230 115 115 277 235 230 République tchèque Estonia 145 50 50 200 210 210 151 50 50 205 210 210 Estonie Finland 297 240 240 1,110 940 940 87 60 60 900 760 760 Finlande France 589 583 583 253 270 270 476 452 452 140 139 139 France Germany 1,073 1,154 840 85 80 80 1,319 1,281 1,000 330 207 240 Allemagne Hungary 136 110 107 60 61 63 138 138 138 62 90 94 Hongrie Italy 602 537 537 288 290 290 525 442 442 211 195 195 Italie Latvia 92 55 55 331 300 300 94 95 95 333 340 340 Lettonie Luxembourg 33 29 29 0 0 0 33 29 29 0 0 0 Luxembourg Malta 10 11 12 0 0 0 10 11 12 0 0 0 Malte Montenegro 2 2 2 1 1 1 2 2 2 1 1 1 Monténégro Netherlands 488 457 441 0 0 0 586 551 529 98 94 88 Pays-Bas Poland 650 640 670 539 515 530 468 475 480 357 350 340 Pologne Portugal 154 180 166 103 100 110 95 110 100 44 30 44 Portugal Serbia 40 36 38 19 18 19 34 30 33 13 12 14 Serbie Slovakia 67 63 63 153 150 150 59 59 59 146 146 146 Slovaquie Slovenia 49 50 58 94 90 98 26 30 30 71 70 70 Slovénie Spain 231 326 326 462 416 416 132 117 117 363 207 207 Espagne Sweden 278 160 160 90 90 90 236 120 120 48 50 50 Suède Switzerland 206 206 206 7 7 7 203 203 203 4 4 4 Suisse United Kingdom 1,254 1,180 1,180 0 0 0 1,320 1,250 1,250 66 70 70 Royaume-Uni Total Europe 6,623 6,215 5,916 4,166 3,930 3,967 6,422 5,786 5,482 3,965 3,501 3,532 Total Europe Uzbekistan 62 46 46 0 0 0 63 47 47 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A 0 Total EOCAC Canada 2,174 2,028 2,123 1,604 1,557 1,526 1,224 1,058 1,241 654 587 644 Canada United States 14,742 14,890 15,188 9,254 9,345 9,528 6,259 6,317 6,436 771 772 776 Etats-Unis Total North America 16,916 16,918 17,311 10,858 10,902 11,054 7,483 7,375 7,677 1,425 1,359 1,420 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 4 PLYWOOD CONTREPLAQUES

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 951 630 630 2,280 2,170 2,170 313 355 355 1,642 1,895 1,895 Autriche Cyprus 49 46 46 0 0 0 49 46 46 0 0 0 Chypre Czech Republic 793 811 835 962 866 910 530 484 485 699 538 560 République tchèque Estonia 123 67 67 90 0 0 77 68 68 44 2 1 Estonie Finland 113 75 75 54 54 54 85 44 44 26 23 23 Finlande France 2,224 2,148 2,148 3,177 3,094 3,094 299 355 355 1,253 1,301 1,301 France Germany 5,572 5,220 4,970 5,526 5,195 5,020 1,970 1,934 1,900 1,924 1,909 1,950 Allemagne Hungary 408 384 379 447 428 438 264 282 272 303 326 331 Hongrie Italy 3,070 2,813 2,813 2,646 2,500 2,500 956 821 821 532 508 508 Italie Latvia 52 85 85 306 300 300 69 25 25 322 240 240 Lettonie Luxembourg 20 12 12 0 0 0 21 13 13 1 1 1 Luxembourg Malta 10 11 11 0 0 0 10 11 11 0 0 0 Malte Montenegro 32 33 34 0 0 0 32 33 34 0 0 0 Monténégro Netherlands 464 440 432 0 0 0 514 488 479 50 48 47 Pays-Bas Poland 6,501 6,450 6,740 5,227 5,150 5,450 2,173 2,180 2,200 899 880 910 Pologne Portugal 537 473 514 766 750 760 281 300 290 510 577 536 Portugal Serbia 373 351 371 219 210 220 196 184 198 42 43 47 Serbie Slovakia 352 343 340 676 675 675 148 140 137 473 473 472 Slovaquie Slovenia 137 110 110 0 0 0 143 114 114 6 4 4 Slovénie Spain 2,392 2,213 2,213 2,566 2,310 2,310 626 621 621 800 718 718 Espagne Sweden 1,055 868 868 636 600 600 475 335 335 57 67 67 Suède Switzerland 281 286 286 420 425 425 141 141 141 280 280 280 Suisse United Kingdom 2,606 2,542 2,542 2,012 1,982 1,982 648 610 610 55 50 50 Royaume-Uni Total Europe 28,115 26,410 26,521 28,012 26,710 26,908 10,021 9,584 9,555 9,917 9,883 9,942 Total Europe Uzbekistan 880 542 542 252 252 252 654 317 317 26 27 27 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A 27 Total EOCAC Canada 1,466 1,886 1,894 1,625 2,032 2,012 552 504 491 710 650 609 Canada United States 5,196 5,565 5,562 4,488 4,552 4,534 1,193 1,465 1,487 485 452 459 Etats-Unis Total North America 6,663 7,451 7,456 6,113 6,584 6,546 1,745 1,969 1,978 1,195 1,102 1,068 Total Amérique du Nord Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 5 PARTICLE BOARD (excluding OSB) PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 205 135 135 0 0 0 212 140 140 7 5 5 Autriche Cyprus 11 14 14 0 0 0 11 14 14 0 0 0 Chypre Czech Republic 380 342 350 689 620 655 126 113 115 435 392 420 République tchèque Estonia 55 32 32 0 0 0 55 32 32 1 0 0 Estonie Finland 56 56 56 0 0 0 56 56 56 0 0 0 Finlande France 427 522 522 302 406 406 222 165 165 96 49 49 France Germany 1,316 1,238 1,130 1,164 1,105 1,080 679 669 600 526 536 550 Allemagne Hungary 133 147 152 379 419 443 56 60 59 302 331 350 Hongrie Italy 346 287 287 100 100 100 346 274 274 100 87 87 Italie Latvia 196 165 165 674 650 650 76 75 75 554 560 560 Lettonie Luxembourg 110 135 135 338 338 338 6 14 14 234 217 217 Luxembourg Montenegro 2 2 2 0 0 0 2 2 2 0 0 0 Monténégro Netherlands 222 222 227 0 0 0 286 286 292 64 64 65 Pays-Bas Poland 655 650 760 647 650 750 302 320 350 294 320 340 Pologne Portugal 46 37 41 0 0 0 50 40 45 4 3 4 Portugal Serbia 40 35 41 0 0 0 41 36 42 1 1 1 Serbie Slovakia 48 58 60 0 0 0 48 60 63 1 3 3 Slovaquie Slovenia 31 24 24 0 0 0 33 26 26 2 2 2 Slovénie Spain 26 15 15 3 3 3 35 33 33 12 20 20 Espagne Sweden 94 92 92 0 0 0 97 95 95 3 3 3 Suède Switzerland 95 95 95 0 0 0 96 96 96 1 1 1 Suisse United Kingdom 773 758 758 598 598 598 365 350 350 190 190 190 Royaume-Uni Total Europe 5,268 5,060 5,092 4,894 4,888 5,023 3,200 2,956 2,938 2,826 2,784 2,868 Total Europe Uzbekistan 7 5 5 0 0 0 7 5 5 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A 0 Total EOCAC Canada 1,546 1,253 1,153 7,270 6,820 6,798 82 65 61 5,806 5,632 5,706 Canada United States 19,658 19,834 20,197 13,592 13,783 14,059 6,198 6,236 6,326 132 185 188 Etats-Unis Total North America 21,204 21,087 21,350 20,862 20,603 20,857 6,280 6,301 6,387 5,938 5,817 5,894 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 5a ORIENTED STRAND BOARD (OSB) PANNEAUX STRUCTURAUX ORIENTES (OSB)

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 421 386 386 470 395 395 331 308 308 381 316 316 Autriche Cyprus 20 15 16 0 0 0 20 15 16 0 0 0 Chypre Czech Republic 328 276 280 41 41 42 438 347 360 151 112 122 République tchèque Estonia 70 46 47 75 40 40 65 46 47 70 40 40 Estonie Finland 139 105 105 44 44 44 141 102 102 46 41 41 Finlande France 828 915 915 1,238 1,035 1,035 721 772 772 1,130 892 892 France Germany 3,791 3,437 3,325 5,194 4,900 4,800 1,590 1,543 1,470 2,993 3,006 2,945 Allemagne Hungary 9 -17 -13 21 0 0 204 235 244 215 253 258 Hongrie Italy 1,862 1,661 1,661 827 818 818 1,281 974 974 245 131 131 Italie Latvia 60 50 40 48 50 50 62 65 65 50 65 75 Lettonie Luxembourg 100 90 90 147 147 147 34 19 19 80 76 76 Luxembourg Malta 6 7 7 0 0 0 6 7 7 0 0 0 Malte Montenegro 32 32 33 0 0 0 32 32 33 0 0 0 Monténégro Netherlands 332 310 296 29 29 29 465 431 412 162 150 145 Pays-Bas Poland 3,808 3,765 4,020 4,960 4,920 5,080 590 585 630 1,743 1,740 1,690 Pologne Portugal 534 485 529 526 520 560 338 315 335 330 350 366 Portugal Serbia 74 74 88 19 20 22 71 73 88 16 19 22 Serbie Slovakia 210 218 223 0 0 0 248 256 262 39 38 39 Slovaquie Slovenia 24 15 15 132 120 125 28 25 30 136 130 140 Slovénie Spain 920 894 894 1,430 1,287 1,287 462 355 355 972 748 748 Espagne Sweden 301 260 260 0 0 0 425 360 360 124 100 100 Suède Switzerland 238 238 238 97 97 97 308 308 308 167 167 167 Suisse United Kingdom 1,692 1,630 1,630 856 850 850 895 840 840 60 60 60 Royaume-Uni Total Europe 15,799 14,892 15,085 16,153 15,313 15,421 8,755 8,013 8,037 9,110 8,434 8,373 Total Europe Uzbekistan 1,092 809 809 47 47 47 1,057 771 771 13 9 9 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 1,236 1,183 1,181 1,277 1,288 1,299 818 628 605 859 733 723 Canada United States 8,684 8,749 8,888 6,362 6,420 6,571 3,359 3,289 3,310 1,038 960 993 Etats-Unis Total North America 9,920 9,932 10,069 7,639 7,708 7,870 4,177 3,917 3,915 1,896 1,693 1,716 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 6 FIBREBOARD PANNEAUX DE FIBRES

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 29 28 28 54 43 43 18 16 16 43 32 32 Autriche Cyprus 2 1 2 0 0 0 2 1 2 0 0 0 Chypre Czech Republic 43 45 45 0 0 0 61 59 60 18 14 15 République tchèque Estonia 23 15 19 0 0 0 30 16 20 7 1 1 Estonie Finland 23 21 21 44 44 44 21 15 15 41 38 38 Finlande France 55 55 55 221 221 221 207 207 207 373 373 373 France Germany 176 183 165 0 0 0 200 203 180 23 20 15 Allemagne Hungary 27 41 45 2 0 0 65 81 85 40 40 40 Hongrie Italy 280 280 280 16 16 16 283 283 283 19 19 19 Italie Latvia 1 5 5 15 15 15 18 20 20 32 30 30 Lettonie Luxembourg -31 -12 -12 0 0 0 3 8 8 34 20 20 Luxembourg Montenegro 1 1 1 0 0 0 1 1 1 0 0 0 Monténégro Netherlands 44 41 39 0 0 0 63 58 56 19 17 17 Pays-Bas Poland -179 -120 -50 80 80 80 88 100 120 347 300 250 Pologne Portugal 50 30 39 0 0 0 61 40 50 11 10 11 Portugal Serbia 39 35 38 19 20 22 33 31 34 13 16 18 Serbie Slovakia 21 20 21 0 0 0 21 21 22 1 1 1 Slovaquie Slovenia -1 0 1 0 0 0 4 2 4 4 2 3 Slovénie Spain 17 15 15 32 29 29 46 46 46 61 60 60 Espagne Sweden 47 30 30 0 0 0 116 110 110 70 80 80 Suède Switzerland 19 19 19 0 0 0 24 24 24 5 5 5 Suisse United Kingdom 101 90 90 0 0 0 110 100 100 9 10 10 Royaume-Uni Total Europe 787 822 895 482 468 470 1,474 1,441 1,463 1,169 1,087 1,037 Total Europe Uzbekistan 89 50 50 0 0 0 90 50 50 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 33 47 42 90 90 90 52 27 28 109 70 76 Canada United States 481 509 514 437 504 509 259 255 258 215 250 253 Etats-Unis Total North America 514 556 556 527 594 599 311 282 286 324 320 329 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 6a HARDBOARD PANNEAUX DURS

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 260 230 230 416 351 351 177 160 160 333 281 281 Autriche Cyprus 16 12 12 0 0 0 16 12 12 0 0 0 Chypre Czech Republic 199 157 160 41 41 42 180 135 140 22 19 22 République tchèque Estonia 18 21 18 0 0 0 33 28 25 15 7 7 Estonie Finland 82 67 67 0 0 0 86 70 70 4 3 3 Finlande France 708 794 794 954 751 751 337 388 388 583 345 345 France Germany 1,870 1,728 1,720 3,792 3,700 3,650 424 395 370 2,345 2,367 2,300 Allemagne Hungary -39 -65 -62 0 0 0 136 148 156 175 213 218 Hongrie Italy 1,501 1,299 1,299 809 800 800 913 606 606 221 107 107 Italie Latvia 52 40 30 33 35 35 22 25 25 2 20 30 Lettonie Luxembourg 128 98 98 147 147 147 27 7 7 46 56 56 Luxembourg Malta 5 5 5 0 0 0 5 5 5 0 0 0 Malte Montenegro 31 31 32 0 0 0 31 31 32 0 0 0 Monténégro Netherlands 220 205 196 0 0 0 361 336 322 141 131 126 Pays-Bas Poland 3,066 3,020 3,130 3,052 3,030 3,100 470 450 470 456 460 440 Pologne Portugal 447 440 465 494 500 530 257 260 265 305 320 330 Portugal Serbia 31 35 46 0 0 0 34 38 50 3 3 4 Serbie Slovakia 135 135 135 0 0 0 170 170 170 35 35 35 Slovaquie Slovenia 24 15 14 132 120 125 24 23 26 131 128 137 Slovénie Spain 835 821 821 1,334 1,201 1,201 397 302 302 897 682 682 Espagne Sweden 254 225 225 0 0 0 284 230 230 30 5 5 Suède Switzerland 24 24 24 97 97 97 88 88 88 161 161 161 Suisse United Kingdom 1,553 1,510 1,510 856 850 850 739 700 700 42 40 40 Royaume-Uni Total Europe 11,419 10,847 10,969 12,157 11,623 11,679 5,210 4,606 4,618 5,948 5,382 5,328 Total Europe Uzbekistan 671 513 513 46 46 46 629 469 469 3 2 2 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 1,053 999 1,005 1,087 1,098 1,109 608 472 449 641 570 553 Canada United States 5,156 5,228 5,226 2,746 2,778 2,786 2,939 2,874 2,866 529 424 426 Etats-Unis Total North America 6,209 6,227 6,231 3,833 3,876 3,895 3,547 3,346 3,315 1,170 994 979 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 6b MDF/HDF

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 131 128 128 0 0 0 136 132 132 4 3 3 Autriche Cyprus 2 2 2 0 0 0 3 2 2 0 0 0 Chypre Czech Republic 86 74 75 0 0 0 197 154 160 111 80 85 République tchèque Estonia 29 10 10 75 40 40 3 2 2 49 32 32 Estonie Finland 33 17 17 0 0 0 34 17 17 0 0 0 Finlande France 65 66 66 63 63 63 177 177 177 174 174 174 France Germany 1,745 1,526 1,440 1,402 1,200 1,150 966 945 920 624 619 630 Allemagne Hungary 21 7 4 19 0 0 3 7 4 0 0 0 Hongrie Italy 82 82 82 3 3 3 85 85 85 6 6 6 Italie Latvia 7 5 5 0 0 0 23 20 20 16 15 15 Lettonie Luxembourg 4 4 4 0 0 0 4 4 4 0 0 0 Luxembourg Malta 1 2 2 0 0 0 1 2 2 0 0 0 Malte Netherlands 68 64 61 29 29 29 41 37 34 2 2 2 Pays-Bas Poland 920 865 940 1,828 1,810 1,900 33 35 40 940 980 1,000 Pologne Portugal 37 15 25 32 20 30 20 15 20 15 20 25 Portugal Serbia 4 4 4 0 0 0 4 4 4 0 0 0 Serbie Slovakia 54 63 67 0 0 0 57 65 70 3 2 3 Slovaquie Slovenia 0 0 0 0 0 0 0 0 0 0 0 0 Slovénie Spain 69 59 59 64 58 58 20 7 7 15 6 6 Espagne Sweden 0 5 5 0 0 0 25 20 20 24 15 15 Suède Switzerland 195 195 195 0 0 0 196 196 196 1 1 1 Suisse United Kingdom 38 30 30 0 0 0 47 40 40 9 10 10 Royaume-Uni Total Europe 3,592 3,223 3,221 3,514 3,222 3,272 2,071 1,965 1,956 1,993 1,965 2,007 Total Europe Uzbekistan 331 246 246 2 2 2 339 252 252 10 7 7 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 150 137 134 100 100 100 158 129 128 108 92 94 Canada United States 3,047 3,012 3,148 3,179 3,138 3,276 161 160 186 294 286 314 Etats-Unis Total North America 3,196 3,149 3,282 3,279 3,238 3,376 319 289 314 402 378 408 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 6c OTHER FIBREBOARD AUTRES PANNEAUX DE FIBRES

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 2,209 1,950 2,030 1,977 1,700 1,800 630 610 630 399 360 400 Autriche Czech Republic 847 688 700 640 525 540 324 259 260 117 96 100 République tchèque Estonia 70 75 80 227 180 180 42 50 50 199 155 150 Estonie Finland a 5,468 4,483 4,614 9,200 8,690 9,360 355 150 150 4,087 4,357 4,896 Finlande a

France 2,898 2,420 2,500 1,666 1,300 1,350 1,715 1,450 1,500 483 330 350 France Germany 5,092 4,600 5,000 2,172 1,850 2,000 4,173 3,900 4,200 1,253 1,150 1,200 Allemagne Hungary 205 206 214 66 77 87 141 133 131 3 3 4 Hongrie Italy 3,466 3,466 3,466 223 223 223 3,536 3,536 3,536 293 293 293 Italie Latvia 7 7 7 12 13 13 7 7 7 12 13 13 Lettonie Netherlands 443 442 442 37 37 37 1,717 1,717 1,717 1,312 1,312 1,312 Pays-Bas Poland 2,836 2,830 2,930 1,729 1,710 1,750 1,291 1,300 1,320 183 180 140 Pologne Portugal 1,757 1,735 1,760 2,869 2,870 2,870 140 145 150 1,252 1,280 1,260 Portugal Serbia 82 88 92 0 0 0 82 88 92 0 0 0 Serbie Slovakia 700 700 715 692 700 725 173 170 170 166 170 180 Slovaquie Slovenia 322 321 316 73 63 68 249 260 250 1 2 2 Slovénie Spain 1,520 1,328 1,328 1,120 1,120 1,120 1,176 976 976 775 768 768 Espagne Sweden 8,438 7,600 7,950 11,631 10,900 11,400 641 600 600 3,834 3,900 4,050 Suède Switzerland 188 188 188 87 87 87 101 101 101 0 0 0 Suisse United Kingdom 1,057 940 950 220 200 200 838 740 750 1 0 0 Royaume-Uni Total Europe 37,604 34,067 35,282 34,641 32,244 33,809 17,333 16,193 16,590 14,369 14,369 15,118 Total Europe Uzbekistan 38 28 28 1 1 1 37 28 28 0 0 0 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 6,007 5,851 5,616 14,200 13,102 12,638 472 582 640 8,665 7,833 7,662 Canada United States 39,787 42,269 42,815 40,822 41,230 41,478 6,948 7,643 8,254 7,983 6,603 6,917 Etats-Unis Total North America 45,794 48,121 48,431 55,022 54,332 54,116 7,420 8,224 8,894 16,648 14,436 14,579 Total Amérique du Nord

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

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 7 WOOD PULP PATE DE BOIS

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

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 2,133 1,750 2,050 4,633 3,500 4,000 1,231 1,050 1,150 3,730 2,800 3,100 Autriche Cyprus 56 48 48 0 0 0 56 48 48 0 0 0 Chypre Czech Republic 1,467 1,234 1,258 938 769 785 1,531 1,286 1,312 1,002 822 838 République tchèque Estonia 120 111 111 57 35 35 123 102 102 59 26 26 Estonie Finland 514 475 460 7,200 5,990 6,150 333 275 280 7,019 5,790 5,970 Finlande France 8,272 7,290 7,400 7,092 6,240 6,600 4,845 4,650 4,600 3,665 3,600 3,800 France Germany 17,836 14,600 17,000 21,612 17,500 21,000 9,302 8,000 9,500 13,078 10,900 13,500 Allemagne Hungary 1,213 1,167 1,212 1,057 1,003 1,034 877 892 898 720 727 721 Hongrie Italy 11,390 11,390 11,390 8,696 8,696 8,696 5,800 5,800 5,800 3,106 3,106 3,106 Italie Latvia 168 175 175 29 30 30 173 180 180 33 35 35 Lettonie Luxembourg 26 14 14 0 0 0 27 15 15 1 1 1 Luxembourg Malta 26 27 28 0 0 0 26 27 28 0 0 0 Malte Netherlands 2,814 2,760 2,760 2,884 2,827 2,827 2,180 2,096 2,096 2,250 2,163 2,163 Pays-Bas Poland 7,532 7,400 7,550 5,237 5,130 5,250 4,869 4,870 4,950 2,574 2,600 2,650 Pologne Portugal 1,090 1,200 1,240 2,123 2,200 2,240 948 940 945 1,981 1,940 1,945 Portugal Serbia 790 762 778 483 481 490 514 490 500 207 209 212 Serbie Slovakia 565 575 600 967 975 1,000 457 450 475 859 850 875 Slovaquie Slovenia 412 390 390 591 500 500 367 390 390 545 500 500 Slovénie Spain 7,060 6,778 6,778 6,355 6,355 6,355 2,997 2,577 2,577 2,291 2,154 2,154 Espagne Sweden 834 700 750 8,531 7,300 8,100 894 700 750 8,591 7,300 8,100 Suède Switzerland 1,020 1,015 1,010 1,160 1,155 1,150 640 635 630 780 775 770 Suisse United Kingdom 7,420 6,280 6,440 3,460 3,190 3,250 5,015 4,150 4,250 1,055 1,060 1,060 Royaume-Uni Total Europe 72,758 66,140 69,442 83,103 73,876 79,492 43,204 39,623 41,476 53,549 47,358 51,526 Total Europe Uzbekistan 335 297 297 142 142 142 214 171 171 21 17 17 Ouzbékistan Total EECCA #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A Total EOCAC Canada 5,505 6,069 6,231 9,094 9,124 9,155 2,516 2,242 2,235 6,105 5,298 5,159 Canada United States 64,243 62,896 63,029 65,959 64,476 64,476 8,202 8,180 8,159 9,917 9,761 9,606 Etats-Unis Total North America 69,748 68,964 69,260 75,053 73,600 73,631 10,718 10,423 10,395 16,023 15,059 14,765 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 8 PAPER AND PAPERBOARD PAPIERS ET CARTONS

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

Apparent Consumption

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 13,935 11,716 12,225 10,711 8,904 9,338 3,223 2,812 2,887 0 0 0 5,424 5,115 5,234 19,359 16,831 17,459 Autriche Cyprus 3 2 2 2 2 2 0 0 0 0 0 0 11 9 8 14 11 10 Chypre Czech Republic 20,708 15,535 14,897 14,635 10,617 10,106 5,965 4,804 4,675 108 113 115 4,405 3,965 3,900 25,113 19,499 18,797 République tchèque Estonia 6,474 6,401 6,401 4,276 4,200 4,200 2,148 2,150 2,150 51 51 51 4,066 3,800 3,800 10,541 10,201 10,201 Estonie Finland 56,246 53,397 55,435 25,699 22,749 23,412 30,547 30,648 32,023 0 0 0 9,340 9,340 9,340 65,586 62,737 64,775 Finlande France 25,648 25,270 25,070 17,198 17,200 17,300 7,891 7,500 7,200 559 570 570 24,173 24,500 25,600 49,821 49,770 50,670 France Germany 56,534 53,930 49,630 44,756 41,200 39,500 11,644 12,600 10,000 135 130 130 22,338 22,700 22,700 78,872 76,630 72,330 Allemagne Hungary 2,901 2,881 2,881 1,410 1,374 1,399 912 995 1,008 579 512 475 3,626 3,284 3,397 6,527 6,165 6,278 Hongrie Italy 2,838 3,540 3,540 1,890 1,890 1,890 316 1,018 1,018 632 632 632 10,839 10,839 10,839 13,677 14,379 14,379 Italie Latvia 12,491 12,150 12,350 7,603 7,250 7,450 3,868 3,800 3,800 1,020 1,100 1,100 2,936 3,000 3,000 15,427 15,150 15,350 Lettonie Luxembourg 231 197 193 147 144 133 56 38 38 27 15 22 40 45 43 271 242 235 Luxembourg Montenegro 751 697 678 515 492 487 201 198 186 35 7 5 194 193 190 945 890 868 Monténégro Netherlands 614 599 589 221 220 215 352 340 335 41 39 39 2,382 2,380 2,385 2,996 2,979 2,974 Pays-Bas Poland 38,735 39,880 40,850 18,533 18,800 19,150 19,350 20,100 20,550 852 980 1,150 6,958 7,420 7,750 45,693 47,300 48,600 Pologne Portugal 12,235 12,330 12,190 2,038 2,040 2,060 9,799 9,850 9,700 399 440 430 2,383 2,380 2,300 14,619 14,710 14,490 Portugal Serbia 1,478 1,520 1,561 1,077 1,104 1,130 265 275 283 136 141 148 6,574 6,646 6,760 8,052 8,166 8,321 Serbie Slovakia 6,827 6,820 6,880 4,130 4,080 4,100 2,672 2,710 2,750 25 30 30 609 610 650 7,435 7,430 7,530 Slovaquie Slovenia 2,928 3,752 3,482 2,184 2,780 2,600 698 920 830 45 52 52 1,149 1,290 1,270 4,076 5,042 4,752 Slovénie Spain 14,366 15,244 15,244 4,150 4,404 4,404 9,813 10,413 10,413 403 427 427 3,555 3,772 3,772 17,921 19,016 19,016 Espagne Sweden 71,165 69,076 69,310 38,280 37,480 37,080 32,585 31,296 31,930 300 300 300 6,000 6,016 6,016 77,165 75,092 75,326 Suède Switzerland 3,011 3,082 3,142 2,555 2,625 2,680 444 445 450 12 12 12 1,938 2,000 2,025 4,949 5,082 5,167 Suisse United Kingdom 7,604 7,193 7,193 5,509 5,236 5,236 1,646 1,529 1,529 448 428 428 2,184 2,184 2,184 9,788 9,377 9,377 Royaume-Uni Total Europe 357,723 345,212 343,742 207,519 194,791 193,872 144,397 144,441 143,754 5,807 5,980 6,116 121,124 121,488 123,163 478,847 466,699 466,905 Total Europe Canada 142,131 140,499 140,499 124,900 123,350 123,350 15,040 14,864 14,864 2,190 2,285 2,285 1,683 1,908 1,908 143,814 142,407 142,407 Canada United States 382,544 384,963 388,611 186,157 188,221 191,211 182,650 182,996 183,637 13,737 13,746 13,763 76,230 76,240 76,278 458,774 461,203 464,889 Etats-Unis Total North America 524,675 525,462 529,110 311,057 311,571 314,561 197,690 197,861 198,501 15,927 16,031 16,048 77,913 78,148 78,186 602,587 603,610 607,296 Total Amérique du Nord

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

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

used for energy purposes à des fins energétiques

Total Logs Pulpwood a Other b Total Grumes Bois de trituration a Autre bCountry

Industrial wood - Bois industriels

TABLE 9 REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT

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

Wood fuel c

Bois de chauffage c Pays

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 12,958 10,873 11,338 10,382 8,638 9,038 2,576 2,235 2,300 0 0 0 3,248 3,069 3,140 16,206 13,942 14,478 Autriche Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 10 8 7 12 10 9 Chypre Czech Republic 19,440 14,455 13,825 14,019 10,094 9,589 5,316 4,253 4,125 105 109 111 3,610 3,249 3,200 23,050 17,704 17,025 République tchèque Estonia 4,023 3,927 3,927 3,118 3,000 3,000 878 900 900 26 27 27 1,486 1,400 1,400 5,509 5,327 5,327 Estonie Finland 47,408 45,464 47,590 24,662 21,700 22,351 22,746 23,764 25,239 0 0 0 4,593 4,593 4,593 52,001 50,057 52,183 Finlande France 17,300 17,070 16,770 12,491 12,500 12,500 4,559 4,300 4,000 250 270 270 2,417 2,500 2,600 19,717 19,570 19,370 France Germany 52,425 50,120 46,120 41,761 38,500 37,000 10,541 11,500 9,000 123 120 120 8,834 9,200 9,200 61,259 59,320 55,320 Allemagne Hungary 688 759 743 175 201 208 411 488 481 102 70 53 383 294 333 1,071 1,053 1,076 Hongrie Italy 1,797 2,502 2,502 1,169 1,169 1,169 148 853 853 480 480 480 1,180 1,180 1,180 2,977 3,682 3,682 Italie Latvia 8,253 7,900 8,100 5,873 5,500 5,700 1,850 1,800 1,800 530 600 600 298 300 300 8,551 8,200 8,400 Lettonie Luxembourg 162 143 145 124 122 115 10 6 8 27 15 22 17 11 12 178 154 158 Luxembourg Montenegro 573 553 537 372 352 349 201 198 186 0 3 2 66 65 63 639 618 600 Monténégro Netherlands 449 440 430 173 170 165 244 240 235 32 30 30 457 450 450 906 890 880 Pays-Bas Poland 31,941 32,800 33,470 15,775 16,000 16,250 15,411 15,950 16,250 754 850 970 3,627 3,820 3,950 35,568 36,620 37,420 Pologne Portugal 3,045 3,210 3,150 1,682 1,710 1,700 1,213 1,350 1,300 150 150 150 996 990 980 4,041 4,200 4,130 Portugal Serbia 279 290 301 178 184 190 66 70 73 35 36 38 141 146 160 420 436 461 Serbie Slovakia 3,325 3,160 3,120 2,559 2,430 2,400 748 710 700 18 20 20 259 260 275 3,584 3,420 3,395 Slovaquie Slovenia 1,966 2,586 2,386 1,687 2,150 2,000 275 430 380 4 6 6 191 240 220 2,157 2,826 2,606 Slovénie Spain 7,435 7,889 7,889 3,420 3,629 3,629 3,754 3,984 3,984 261 277 277 2,243 2,380 2,380 9,678 10,269 10,269 Espagne Sweden 64,603 62,760 62,873 38,100 37,300 36,900 26,353 25,310 25,823 150 150 150 3,000 3,008 3,008 67,603 65,768 65,881 Suède Switzerland 2,578 2,639 2,689 2,290 2,350 2,400 279 280 280 9 9 9 769 770 775 3,347 3,409 3,464 Suisse United Kingdom 7,486 7,076 7,076 5,453 5,180 5,180 1,633 1,516 1,516 400 380 380 1,571 1,571 1,571 9,058 8,647 8,647 Royaume-Uni Total Europe 288,136 276,619 274,984 185,467 172,881 171,836 99,212 100,136 99,433 3,458 3,602 3,715 39,396 39,504 39,798 327,533 316,123 314,781 Total Europe Canada 114,659 112,907 112,907 110,046 108,424 108,424 4,229 4,021 4,021 384 462 462 806 946 946 115,465 113,853 113,853 Canada United States 306,119 309,360 313,639 152,799 154,479 156,695 141,226 142,779 144,827 12,094 12,102 12,117 37,619 37,609 37,606 343,738 346,969 351,245 Etats-Unis Total North America 420,778 422,267 426,546 262,845 262,903 265,119 145,455 146,800 148,848 12,478 12,564 12,579 38,425 38,555 38,552 459,203 460,822 465,098 Total Amérique du Nord

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

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

used for energy purposes à des fins energétiques

Total Logs Pulpwood a Other b Total Grumes Bois de trituration a Autre bCountry

Industrial wood - Bois industriels

TABLE 9a REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT

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

Wood fuel c

Bois de chauffage c Pays

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 977 843 887 329 266 300 647 577 587 0 0 0 2,176 2,046 2,094 3,153 2,889 2,981 Autriche Cyprus 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 Chypre Czech Republic 1,268 1,079 1,071 616 524 517 649 552 550 3 4 4 795 716 700 2,063 1,795 1,771 République tchèque Estonia 2,452 2,474 2,474 1,158 1,200 1,200 1,270 1,250 1,250 24 24 24 2,580 2,400 2,400 5,032 4,874 4,874 Estonie Finland 8,838 7,933 7,845 1,037 1,049 1,061 7,801 6,884 6,784 0 0 0 4,747 4,747 4,747 13,585 12,680 12,592 Finlande France 8,348 8,200 8,300 4,707 4,700 4,800 3,332 3,200 3,200 309 300 300 21,756 22,000 23,000 30,104 30,200 31,300 France Germany 4,110 3,810 3,510 2,995 2,700 2,500 1,103 1,100 1,000 12 10 10 13,504 13,500 13,500 17,613 17,310 17,010 Allemagne Hungary 2,213 2,122 2,138 1,234 1,173 1,191 502 507 526 477 442 421 3,244 2,990 3,064 5,456 5,112 5,202 Hongrie Italy 1,041 1,038 1,038 721 721 721 168 166 166 152 152 152 9,659 9,659 9,659 10,700 10,697 10,697 Italie Latvia 4,238 4,250 4,250 1,730 1,750 1,750 2,018 2,000 2,000 490 500 500 2,638 2,700 2,700 6,876 6,950 6,950 Lettonie Luxembourg 69 54 47 23 22 18 46 32 30 0 0 0 23 34 30 92 89 78 Luxembourg Montenegro 178 144 141 143 140 138 0 0 0 35 4 3 128 128 127 306 272 268 Monténégro Netherlands 165 159 159 48 50 50 108 100 100 9 9 9 1,925 1,930 1,935 2,090 2,089 2,094 Pays-Bas Poland 6,794 7,080 7,380 2,757 2,800 2,900 3,939 4,150 4,300 98 130 180 3,331 3,600 3,800 10,125 10,680 11,180 Pologne Portugal 9,190 9,120 9,040 356 330 360 8,586 8,500 8,400 249 290 280 1,387 1,390 1,320 10,578 10,510 10,360 Portugal Serbia 1,199 1,230 1,260 899 920 940 199 205 210 101 105 110 6,433 6,500 6,600 7,632 7,730 7,860 Serbie Slovakia 3,502 3,660 3,760 1,570 1,650 1,700 1,924 2,000 2,050 8 10 10 350 350 375 3,851 4,010 4,135 Slovaquie Slovenia 962 1,166 1,096 497 630 600 424 490 450 41 46 46 957 1,050 1,050 1,919 2,216 2,146 Slovénie Spain 6,931 7,354 7,354 730 775 775 6,059 6,429 6,429 142 151 151 1,312 1,392 1,392 8,243 8,746 8,746 Espagne Sweden 6,562 6,316 6,437 180 180 180 6,232 5,986 6,107 150 150 150 3,000 3,008 3,008 9,562 9,324 9,445 Suède Switzerland 433 443 453 265 275 280 165 165 170 3 3 3 1,169 1,230 1,250 1,602 1,673 1,703 Suisse United Kingdom 118 117 117 56 56 56 13 13 13 48 48 48 613 613 613 730 730 730 Royaume-Uni Total Europe 69,587 68,593 68,759 22,052 21,910 22,036 45,185 44,305 44,322 2,350 2,377 2,401 81,728 81,984 83,365 151,314 150,576 152,124 Total Europe Canada 27,472 27,592 27,592 14,854 14,926 14,926 10,812 10,843 10,843 1,806 1,823 1,823 877 961 961 28,349 28,554 28,554 Canada United States 76,425 75,603 74,972 33,358 33,742 34,516 41,424 40,217 38,810 1,643 1,644 1,646 38,611 38,631 38,672 115,036 114,234 113,644 Etats-Unis Total North America 103,897 103,196 102,564 48,212 48,668 49,442 52,236 51,060 49,653 3,449 3,467 3,469 39,488 39,592 39,633 143,385 142,788 142,197 Total Amérique du Nord

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

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

used for energy purposes à des fins energétiques

Total Logs Pulpwood a Other b Total Grumes Bois de trituration a Autre bCountry

Industrial wood - Bois industriels

TABLE 9b REMOVALS OF WOOD IN THE ROUGH QUANTITES ENLEVEES DE BOIS BRUT

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

Wood fuel c

Bois de chauffage c Pays

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 16,101 13,943 13,638 10,382 8,638 9,038 6,664 5,710 5,000 945 405 400 Autriche Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre Czech Republic 8,002 6,511 6,962 14,019 10,094 9,589 411 596 715 6,428 4,178 3,343 République tchèque Estonia 3,533 3,270 3,270 3,118 3,000 3,000 522 450 450 107 180 180 Estonie Finland 24,310 21,336 21,991 24,662 21,700 22,351 127 79 83 479 443 443 Finlande France 12,053 12,120 12,120 12,491 12,500 12,500 335 360 360 773 740 740 France Germany 39,391 35,800 34,900 41,761 38,500 37,000 3,300 3,000 3,100 5,670 5,700 5,200 Allemagne Hungary 175 201 208 175 201 208 0 0 0 0 0 0 Hongrie Italy 1,645 1,396 1,396 1,169 1,169 1,169 580 457 457 104 230 230 Italie Latvia 6,471 5,830 6,200 5,873 5,500 5,700 1,147 900 900 549 570 400 Lettonie Luxembourg 465 403 396 124 122 115 693 424 424 352 143 143 Luxembourg Montenegro 382 361 357 372 352 349 10 9 8 0 0 0 Monténégro Netherlands 133 145 145 173 170 165 77 80 80 117 105 100 Pays-Bas Poland 14,243 14,500 14,800 15,775 16,000 16,250 1,245 1,400 1,550 2,777 2,900 3,000 Pologne Portugal 1,880 1,905 1,900 1,682 1,710 1,700 241 230 240 43 35 40 Portugal Serbia 188 187 194 178 184 190 12 9 12 2 6 8 Serbie Slovakia 3,059 3,030 3,100 2,559 2,430 2,400 900 950 1,000 400 350 300 Slovaquie Slovenia 1,643 1,650 1,630 1,687 2,150 2,000 239 150 180 283 650 550 Slovénie Spain 3,223 3,307 3,307 3,420 3,629 3,629 240 185 185 437 507 507 Espagne Sweden 38,103 37,725 37,325 38,100 37,300 36,900 964 1,128 1,128 961 703 703 Suède Switzerland 2,035 2,100 2,155 2,290 2,350 2,400 55 60 65 310 310 310 Suisse United Kingdom 5,810 5,538 5,538 5,453 5,180 5,180 457 457 457 99 99 99 Royaume-Uni Total Europe 182,849 171,260 171,534 185,467 172,881 171,836 18,218 16,634 16,394 20,836 18,255 16,696 Total Europe Canada 105,870 103,492 103,916 110,046 108,424 108,424 1,346 1,402 1,309 5,522 6,333 5,816 Canada United States 148,043 150,509 153,391 152,799 154,479 156,695 586 570 555 5,342 4,540 3,859 Etats-Unis Total North America 253,913 254,001 257,307 262,845 262,903 265,119 1,931 1,972 1,864 10,863 10,873 9,675 Total Amérique du Nord

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

Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays

TABLE 10 SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES

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

Apparent Consumption a

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 406 311 300 329 266 300 134 90 50 57 45 50 Autriche Czech Republic 544 457 447 616 524 517 144 120 125 216 186 195 République tchèque Estonia 1,187 1,244 1,244 1,158 1,200 1,200 46 60 60 16 16 16 Estonie Finland 1,068 1,041 1,061 1,037 1,049 1,061 32 1 9 1 9 9 Finlande France 3,453 4,020 4,120 4,707 4,700 4,800 116 120 120 1,370 800 800 France Germany 2,532 2,290 2,130 2,995 2,700 2,500 111 110 110 574 520 480 Allemagne Hungary 1,234 1,173 1,191 1,234 1,173 1,191 0 0 0 0 0 0 Hongrie Italy 2,088 1,718 1,718 721 721 721 1,413 1,055 1,055 47 59 59 Italie Latvia 1,221 1,190 1,410 1,730 1,750 1,750 87 40 60 596 600 400 Lettonie Luxembourg 226 148 144 23 22 18 221 160 160 18 34 34 Luxembourg Montenegro 143 140 138 143 140 138 0 0 0 0 0 0 Monténégro Netherlands 54 60 60 48 50 50 54 60 60 48 50 50 Pays-Bas Poland 2,687 2,730 2,830 2,757 2,800 2,900 80 80 80 150 150 150 Pologne Portugal 997 885 925 356 330 360 663 580 590 22 25 25 Portugal Serbia 894 922 946 899 920 940 15 20 28 20 18 22 Serbie Slovakia 1,670 1,700 1,750 1,570 1,650 1,700 500 450 450 400 400 400 Slovaquie Slovenia 281 290 280 497 630 600 31 30 30 247 370 350 Slovénie Spain 833 854 854 730 775 775 164 174 174 61 94 94 Espagne Sweden 217 217 217 180 180 180 37 37 37 0 0 0 Suède Switzerland 145 155 160 265 275 280 35 40 40 155 160 160 Suisse United Kingdom 78 77 77 56 56 56 26 26 26 5 5 5 Royaume-Uni Total Europe 21,959 21,622 22,002 22,052 21,910 22,036 3,910 3,253 3,265 4,003 3,541 3,299 Total Europe Canada 15,890 15,923 15,895 14,854 14,926 14,926 1,106 1,060 1,027 70 64 59 Canada United States 31,550 32,311 33,431 33,358 33,742 34,516 221 156 156 2,028 1,587 1,241 Etats-Unis Total North America 47,441 48,234 49,326 48,212 48,668 49,442 1,327 1,216 1,183 2,098 1,650 1,300 Total Amérique du Nord

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

Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays

TABLE 11 HARDWOOD SAWLOGS (total) GRUMES DE SCIAGES DES NON-CONIFERES

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

Apparent Consumption a

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 406 311 300 329 266 300 134 90 50 57 45 50 Autriche Czech Republic 544 457 447 616 524 517 144 120 125 216 186 195 République tchèque Estonia 1,187 1,244 1,244 1,158 1,200 1,200 46 60 60 16 16 16 Estonie Finland 1,068 1,041 1,061 1,037 1,049 1,061 32 1 9 1 9 9 Finlande France 3,412 3,978 4,078 4,707 4,700 4,800 72 75 75 1,367 797 797 France Germany 2,527 2,285 2,125 2,995 2,700 2,500 101 100 100 569 515 475 Allemagne Hungary 1,234 1,173 1,191 1,234 1,173 1,191 0 0 0 0 0 0 Hongrie Italy 2,068 1,729 1,729 721 721 721 1,389 1,047 1,047 42 39 39 Italie Latvia 1,221 1,190 1,410 1,730 1,750 1,750 87 40 60 596 600 400 Lettonie Luxembourg 226 148 144 23 22 18 221 160 160 18 34 34 Luxembourg Montenegro 143 140 138 143 140 138 0 0 0 0 0 0 Monténégro Netherlands 46 55 55 48 50 50 42 50 50 44 45 45 Pays-Bas Poland 2,685 2,727 2,827 2,757 2,800 2,900 78 77 77 150 150 150 Pologne Portugal 981 870 912 356 330 360 642 560 571 17 20 19 Portugal Serbia 893 921 945 899 920 940 14 19 27 20 18 22 Serbie Slovakia 1,670 1,700 1,750 1,570 1,650 1,700 500 450 450 400 400 400 Slovaquie Slovenia 280 290 280 497 630 600 30 30 30 247 370 350 Slovénie Spain 827 847 847 730 775 775 158 167 167 61 94 94 Espagne Sweden 217 217 217 180 180 180 37 37 37 0 0 0 Suède Switzerland 145 155 160 265 275 280 35 40 40 155 160 160 Suisse United Kingdom 76 75 75 56 56 56 24 24 24 5 5 5 Royaume-Uni Total Europe 21,857 21,553 21,935 22,052 21,910 22,036 3,786 3,146 3,158 3,980 3,503 3,260 Total Europe Canada 15,890 15,923 15,895 14,854 14,926 14,926 1,106 1,060 1,027 70 64 59 Canada United States 31,549 32,308 33,429 33,358 33,742 34,516 219 152 154 2,027 1,586 1,240 Etats-Unis Total North America 47,440 48,231 49,324 48,212 48,668 49,442 1,325 1,212 1,181 2,097 1,649 1,299 Total Amérique du Nord

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

Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays

TABLE 11a HARDWOOD LOGS (temperate) GRUMES DE NON-CONIFERES (zone tempérée)

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

Apparent Consumption a

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 France -41 -42 -42 44 45 45 3 3 3 France Germany -5 -5 -5 10 10 10 5 5 5 Allemagne Italy -20 11 11 25 9 9 4 20 20 Italie Netherlands -8 -5 -5 12 10 10 4 5 5 Pays-Bas Poland -2 -3 -3 2 3 3 0 0 0 Pologne Portugal -16 -15 -13 21 20 19 5 5 6 Portugal Serbia -1 -1 -1 1 1 1 0 0 0 Serbie Slovenia -1 0 0 1 0 1 0 0 0 Slovénie Spain -6 -7 -7 6 7 7 0 0 0 Espagne United Kingdom -2 -2 -2 2 2 2 0 0 0 Royaume-Uni Total Europe -102 -69 -67 124 107 106 22 38 39 Total Europe United States -1 -3 -1 2 4 2 1 1 1 Etats-Unis Total North America -1 -3 -1 2 4 2 1 1 1 Total Amérique du Nord

Country Commerce Net Production Imports - Importations Exports - Exportations Pays

TABLE 11b HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)

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

Net Trade

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 13,844 12,627 12,592 11,047 9,212 9,287 3,676 4,070 4,020 879 655 715 Autriche Cyprus 8 9 10 7 8 9 1 1 1 0 0 0 Chypre Czech Republic 5,559 5,135 5,154 7,664 6,164 6,130 1,270 1,146 1,162 3,375 2,175 2,138 République tchèque Estonia 3,117 2,380 2,435 6,548 6,550 6,550 256 330 285 3,687 4,500 4,400 Estonie Finland 48,404 47,241 49,358 44,923 44,026 45,568 5,037 4,969 5,545 1,556 1,755 1,755 Finlande France 24,495 24,350 24,050 24,257 24,000 23,700 2,527 2,600 2,600 2,289 2,250 2,250 France Germany 26,555 26,580 23,090 27,936 27,100 23,500 4,474 3,870 3,770 5,855 4,390 4,180 Allemagne Hungary 2,122 2,017 2,065 2,049 1,984 2,023 112 73 82 39 39 39 Hongrie Italy 4,508 5,210 5,210 3,916 4,618 4,618 1,288 1,288 1,288 696 696 696 Italie Latvia 5,540 5,150 5,150 9,484 8,800 8,800 1,084 950 950 5,028 4,600 4,600 Lettonie Luxembourg 583 589 589 577 559 559 182 130 130 176 100 100 Luxembourg Malta 2 3 3 0 0 0 2 3 3 0 0 0 Malte Montenegro 245 241 227 245 241 227 0 0 0 0 0 0 Monténégro Netherlands 604 1,100 1,095 1,267 1,240 1,230 289 100 105 952 240 240 Pays-Bas Poland 35,250 36,265 37,135 33,531 34,600 35,450 3,652 3,660 3,710 1,933 1,995 2,025 Pologne Portugal 15,954 15,330 15,365 11,664 11,720 11,590 4,657 4,000 4,140 368 390 365 Portugal Serbia 981 1,007 1,045 967 1,000 1,033 15 8 13 1 1 1 Serbie Slovakia 3,634 3,650 3,760 3,821 3,860 3,950 1,023 1,030 1,050 1,210 1,240 1,240 Slovaquie Slovenia 926 770 790 2,058 2,280 2,230 625 490 530 1,757 2,000 1,970 Slovénie Spain 13,959 14,358 14,358 14,383 15,261 15,261 1,435 1,564 1,564 1,859 2,467 2,467 Espagne Sweden 55,632 54,193 54,727 50,015 48,196 48,730 7,036 7,750 7,750 1,419 1,753 1,753 Suède Switzerland 1,823 1,824 1,829 1,216 1,217 1,222 795 795 795 188 188 188 Suisse United Kingdom 4,590 4,471 4,471 4,293 4,175 4,175 406 405 405 109 109 109 Royaume-Uni Total Europe 268,336 264,500 264,508 261,870 256,811 255,841 39,843 39,232 39,898 33,377 31,543 31,231 Total Europe Canada 37,044 35,822 35,734 35,326 32,985 32,975 2,578 3,462 3,467 860 625 708 Canada United States 238,450 239,587 240,850 244,912 246,110 247,536 348 324 308 6,809 6,848 6,994 Etats-Unis Total North America 275,495 275,409 276,585 280,238 279,096 280,511 2,926 3,786 3,776 7,670 7,473 7,702 Total Amérique du Nord

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

Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays

TABLE 12 PULPWOOD (total) BOIS DE TRITURATION (total)

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

Apparent Consumption a

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 3,681 3,895 3,850 2,576 2,235 2,300 1,312 1,750 1,700 206 90 150 Autriche Czech Republic 3,927 3,744 3,675 5,316 4,253 4,125 811 811 830 2,200 1,320 1,280 République tchèque Estonia 476 245 245 878 900 900 56 45 45 458 700 700 Estonie Finland 22,913 24,189 25,835 22,746 23,764 25,239 1,163 1,410 1,581 996 985 985 Finlande France 4,689 4,400 4,100 4,559 4,300 4,000 608 550 550 478 450 450 France Germany 10,311 11,900 9,500 10,541 11,500 9,000 2,200 2,100 2,000 2,430 1,700 1,500 Allemagne Hungary 411 488 481 411 488 481 0 0 0 0 0 0 Hongrie Italy 148 853 853 148 853 853 0 0 0 0 0 0 Italie Latvia 1,775 1,700 1,700 1,850 1,800 1,800 374 400 400 449 500 500 Lettonie Luxembourg -16 -18 -16 10 6 8 9 3 3 35 27 27 Luxembourg Montenegro 201 198 186 201 198 186 0 0 0 0 0 0 Monténégro Netherlands 146 150 145 244 240 235 70 80 85 168 170 175 Pays-Bas Poland 15,378 15,900 16,300 15,411 15,950 16,250 1,428 1,500 1,650 1,462 1,550 1,600 Pologne Portugal 1,323 1,430 1,375 1,213 1,350 1,300 122 100 90 12 20 15 Portugal Serbia 66 70 74 66 70 73 0 0 1 0 0 0 Serbie Slovakia 598 600 610 748 710 700 600 630 650 750 740 740 Slovaquie Slovenia 264 200 220 275 430 380 268 170 200 278 400 360 Slovénie Spain 3,369 3,467 3,467 3,754 3,984 3,984 179 138 138 564 655 655 Espagne Sweden 28,513 27,431 27,944 26,353 25,310 25,823 3,114 3,269 3,269 954 1,148 1,148 Suède Switzerland 209 210 210 279 280 280 20 20 20 90 90 90 Suisse United Kingdom 1,894 1,776 1,776 1,633 1,516 1,516 291 291 291 31 31 31 Royaume-Uni Total Europe 100,275 102,827 102,530 99,212 100,136 99,433 12,625 13,267 13,503 11,562 10,576 10,406 Total Europe Canada 4,531 4,347 4,410 4,229 4,021 4,021 324 336 401 22 10 12 Canada United States 141,231 142,785 144,831 141,226 142,779 144,827 5 6 4 0 0 0 Etats-Unis Total North America 145,762 147,132 149,241 145,455 146,800 148,848 329 341 405 22 10 12 Total Amérique du Nord

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

Pays Apparent Consumption a

Country Consommation Apparente a Production Imports - Importations Exports - Exportations

TABLE 12a PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)

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

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 1,217 997 1,007 647 577 587 668 500 500 98 80 80 Autriche Czech Republic 450 380 384 649 552 550 3 2 2 202 174 168 République tchèque Estonia 363 200 250 1,270 1,250 1,250 154 250 200 1,060 1,300 1,200 Estonie Finland 8,997 7,940 8,052 7,801 6,884 6,784 1,550 1,633 1,845 354 577 577 Finlande France 2,386 2,250 2,250 3,332 3,200 3,200 43 50 50 989 1,000 1,000 France Germany 1,116 1,180 1,090 1,103 1,100 1,000 259 270 270 246 190 180 Allemagne Hungary 502 507 526 502 507 526 0 0 0 0 0 0 Hongrie Italy 168 166 166 168 166 166 0 0 0 0 0 0 Italie Latvia 172 200 200 2,018 2,000 2,000 244 100 100 2,090 1,900 1,900 Lettonie Luxembourg 77 71 69 46 32 30 36 48 48 5 9 9 Luxembourg Netherlands 62 50 55 108 100 100 21 20 20 67 70 65 Pays-Bas Poland 4,424 4,635 4,785 3,939 4,150 4,300 560 560 560 75 75 75 Pologne Portugal 10,495 10,300 10,260 8,586 8,500 8,400 2,100 2,000 2,050 191 200 190 Portugal Serbia 199 205 210 199 205 210 0 0 0 0 0 0 Serbie Slovakia 1,874 1,950 2,000 1,924 2,000 2,050 100 100 100 150 150 150 Slovaquie Slovenia 137 120 130 424 490 450 84 80 90 371 450 410 Slovénie Spain 5,422 5,288 5,288 6,059 6,429 6,429 269 291 291 906 1,432 1,432 Espagne Sweden 8,517 8,412 8,533 6,232 5,986 6,107 2,313 2,481 2,481 28 55 55 Suède Switzerland 128 128 133 165 165 170 3 3 3 40 40 40 Suisse United Kingdom 23 22 22 13 13 13 18 18 18 9 9 9 Royaume-Uni Total Europe 46,729 45,001 45,410 45,185 44,305 44,322 8,426 8,406 8,628 6,881 7,711 7,540 Total Europe Canada 10,554 10,654 10,644 10,812 10,843 10,843 38 36 30 296 225 228 Canada United States 41,407 40,200 38,795 41,424 40,217 38,810 58 32 18 75 50 33 Etats-Unis Total North America 51,961 50,854 49,439 52,236 51,060 49,653 96 68 48 371 275 261 Total Amérique du Nord

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

Pays Apparent Consumption a

Country Consommation Apparente a Production Imports - Importations Exports - Exportations

TABLE 12b PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)

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

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 8,945 7,735 7,735 7,824 6,400 6,400 1,696 1,820 1,820 575 485 485 Autriche Cyprus 8 9 10 7 8 9 1 1 1 0 0 0 Chypre Czech Republic 1,182 1,011 1,094 1,699 1,359 1,454 456 333 330 973 681 690 République tchèque Estonia 2,278 1,935 1,940 4,400 4,400 4,400 47 35 40 2,169 2,500 2,500 Estonie Finland 16,494 15,112 15,471 14,376 13,378 13,545 2,324 1,926 2,119 206 193 193 Finlande France 17,420 17,700 17,700 16,366 16,500 16,500 1,876 2,000 2,000 822 800 800 France Germany 15,128 13,500 12,500 16,292 14,500 13,500 2,015 1,500 1,500 3,179 2,500 2,500 Allemagne Hungary 1,209 1,022 1,057 1,137 989 1,015 112 73 82 39 39 39 Hongrie Italy 4,192 4,192 4,192 3,600 3,600 3,600 1,288 1,288 1,288 696 696 696 Italie Latvia 3,593 3,250 3,250 5,616 5,000 5,000 466 450 450 2,489 2,200 2,200 Lettonie Luxembourg 522 536 536 521 521 521 137 79 79 136 64 64 Luxembourg Malta 2 3 3 0 0 0 2 3 3 0 0 0 Malte Montenegro 44 43 41 44 43 41 0 0 0 0 0 0 Monténégro Netherlands 396 900 895 915 900 895 198 0 0 717 0 0 Pays-Bas Poland 15,448 15,730 16,050 14,181 14,500 14,900 1,664 1,600 1,500 396 370 350 Pologne Portugal 4,136 3,600 3,730 1,865 1,870 1,890 2,435 1,900 2,000 165 170 160 Portugal Serbia 716 732 761 702 725 750 15 8 12 1 1 1 Serbie Slovakia 1,162 1,100 1,150 1,149 1,150 1,200 323 300 300 310 350 350 Slovaquie Slovenia 525 450 440 1,360 1,360 1,400 273 240 240 1,107 1,150 1,200 Slovénie Spain 5,169 5,603 5,603 4,570 4,849 4,849 987 1,135 1,135 388 380 380 Espagne Sweden 18,602 18,350 18,250 17,430 16,900 16,800 1,609 2,000 2,000 437 550 550 Suède Switzerland 1,486 1,486 1,486 772 772 772 772 772 772 58 58 58 Suisse United Kingdom 2,673 2,673 2,673 2,646 2,646 2,646 96 96 96 69 69 69 Royaume-Uni Total Europe 121,332 116,673 116,568 117,472 112,370 112,087 18,793 17,559 17,767 14,933 13,256 13,285 Total Europe Canada 21,959 20,821 20,680 20,285 18,121 18,111 2,216 3,090 3,037 542 390 467 Canada United States 55,812 56,602 57,224 62,262 63,114 63,899 285 286 286 6,734 6,798 6,961 Etats-Unis Total North America 77,771 77,423 77,904 82,547 81,235 82,010 2,500 3,376 3,323 7,277 7,188 7,428 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 12c WOOD RESIDUES, CHIPS AND PARTICLES DECHETS DE BOIS, PLAQUETTES ET PARTICULES Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

1000 m3

Apparent Consumption

Imports Exports

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 Austria 1,290 1,497 1,450 1,691 1,938 2,050 344 309 300 745 750 900 Autriche Cyprus 8 5 5 0 0 0 8 5 5 0 0 0 Chypre Czech Republic 234 215 225 540 459 482 38 38 40 344 282 296 République tchèque Estonia 284 300 230 1,650 1,350 1,300 12 50 30 1,378 1,100 1,100 Estonie Finland 530 541 562 360 380 405 188 163 160 18 2 3 Finlande France 2,735 3,260 3,660 2,050 2,250 2,450 775 1,100 1,300 90 90 90 France Germany 3,328 3,540 3,720 3,569 3,700 3,900 443 480 420 684 640 600 Allemagne Hungary 63 44 50 62 43 49 11 13 12 11 12 12 Hongrie Italy 2,359 2,359 2,359 450 450 450 1,916 1,916 1,916 7 7 7 Italie Latvia 621 750 750 1,980 2,000 2,000 326 350 350 1,685 1,600 1,600 Lettonie Luxembourg 61 72 72 63 63 63 17 11 11 19 2 2 Luxembourg Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte Montenegro 18 25 26 83 84 84 0 0 0 65 59 58 Monténégro Netherlands 5,354 5,354 5,354 268 268 268 5,551 5,551 5,551 465 465 465 Pays-Bas Poland 842 920 1,100 1,152 1,200 1,350 366 370 380 677 650 630 Pologne Portugal 228 225 220 747 740 735 4 5 5 523 520 520 Portugal Serbia 478 460 485 418 450 480 83 70 80 23 60 75 Serbie Slovakia 22 175 175 390 450 450 47 75 75 415 350 350 Slovaquie Slovenia 125 155 150 164 175 180 126 120 130 165 140 160 Slovénie Spain 867 907 907 1,007 1,007 1,007 65 46 46 206 146 146 Espagne Sweden 1,776 1,800 1,850 1,809 1,750 1,800 199 210 210 232 160 160 Suède Switzerland 410 415 420 330 335 340 80 80 80 0 0 0 Suisse United Kingdom 7,819 7,830 7,830 327 330 330 7,516 7,520 7,520 23 20 20 Royaume-Uni Total Europe 29,451 30,850 31,601 19,110 19,422 20,173 18,114 18,482 18,621 7,774 7,055 7,194 Total Europe Canada 368 420 179 3,830 3,830 3,830 31 52 56 3,493 3,462 3,707 Canada United States 761 273 152 9,544 9,744 9,948 194 174 155 8,977 9,644 9,951 Etats-Unis Total North America 1,129 694 331 13,374 13,574 13,778 225 226 211 12,470 13,106 13,659 Total Amérique du Nord

Country Consommation Apparente Production Imports - Importations Exports - Exportations Pays

TABLE 13 WOOD PELLETS GRANULES DE BOIS

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

Apparent Consumption

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 actual actual actual actual réels réels réels réels

Sawn softwood 75.92 69.01 68.49 96.71 89.54 88.44 29.69 25.67 25.93 50.49 46.20 45.88 Sciages conifères

Softwood logs a 182.85 171.26 171.53 185.47 172.88 171.84 18.22 16.63 16.39 20.84 18.25 16.70 Grumes de conifères a

Sawn hardwood 7.02 6.65 6.70 6.93 6.45 6.61 4.18 3.86 3.81 4.09 3.66 3.72 Sciages non-conifères

– temperate zone b 6.45 6.14 6.18 6.87 6.40 6.55 3.28 3.07 3.02 3.70 3.33 3.39 – zone tempérée b

– tropical zone b 0.57 0.51 0.52 0.06 0.05 0.06 0.90 0.79 0.79 0.39 0.32 0.32 – zone tropicale b

Hardwood logs a 21.96 21.62 22.00 22.05 21.91 22.04 3.91 3.25 3.26 4.00 3.54 3.30 Grumes de non-conifères a

– temperate zone b 21.86 21.55 21.93 22.05 21.91 22.04 3.79 3.15 3.16 3.98 3.50 3.26 – zone tempérée b

– tropical zone b 0.10 0.07 0.07 0.12 0.11 0.11 0.02 0.04 0.04 – zone tropicale b

Veneer sheets 1.58 1.49 1.49 1.00 0.97 0.96 1.42 1.28 1.29 0.84 0.76 0.76 Feuilles de placage

Plywood 6.62 6.21 5.92 4.17 3.93 3.97 6.42 5.79 5.48 3.96 3.50 3.53 Contreplaqués

Particle board (excluding OSB) 28.12 26.41 26.52 28.01 26.71 26.91 10.02 9.58 9.55 9.92 9.88 9.94 Pann. de particules (sauf OSB)

OSB 5.27 5.06 5.09 4.89 4.89 5.02 3.20 2.96 2.94 2.83 2.78 2.87 OSB

Fibreboard 15.80 14.89 15.09 16.15 15.31 15.42 8.76 8.01 8.04 9.11 8.43 8.37 Panneaux de fibres

– Hardboard 0.79 0.82 0.90 0.48 0.47 0.47 1.47 1.44 1.46 1.17 1.09 1.04 – Durs

– MDF 11.42 10.85 10.97 12.16 11.62 11.68 5.21 4.61 4.62 5.95 5.38 5.33 – MDF

– Other board 3.59 3.22 3.22 3.51 3.22 3.27 2.07 1.97 1.96 1.99 1.96 2.01 – Autres panneaux Pulpwood a 268.34 264.50 264.51 261.87 256.81 255.84 39.84 39.23 39.90 33.38 31.54 31.23 Bois de trituration a

– Pulp logs 147.00 147.83 147.94 144.40 144.44 143.75 21.05 21.67 22.13 18.44 18.29 17.95 – Bois ronds de trituration

– softwood 100.28 102.83 102.53 99.21 100.14 99.43 12.63 13.27 13.50 11.56 10.58 10.41 – conifères

– hardwood 46.73 45.00 45.41 45.18 44.31 44.32 8.43 8.41 8.63 6.88 7.71 7.54 – non-conifères

– Residues, chips and particles 121.33 116.67 116.57 117.47 112.37 112.09 18.79 17.56 17.77 14.93 13.26 13.29 – Déchets, plaquettes et part. Wood pulp 37.60 34.07 35.28 34.64 32.24 33.81 17.33 16.19 16.59 14.37 14.37 15.12 Pâte de bois

Paper and paperboard 72.76 66.14 69.44 83.10 73.88 79.49 43.20 39.62 41.48 53.55 47.36 51.53 Papiers et cartons

Wood Pellets 29.45 30.85 31.60 19.11 19.42 20.17 18.11 18.48 18.62 7.77 7.05 7.19 Granulés de bois a Countries which did not provide trade data are included in consumption data a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce b Trade figures by zone do not equal the total as some countries cannot provide data for both zones b Les chiffres du commerce par zone ne correspondent pas aux totaux

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

TABLE 14

Europe: Summary table of market forecasts for 2023 and 2024

Europe: Tableau récapitulatif des prévisions du marché pour 2023 et 2024 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

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

Consommation Apparente Production Imports - Importations Exports - Exportations

forecasts forecasts forecasts forecasts prévisions prévisions prévisions prévisions

2022 2023 2024 2022 2023 2024 2022 2023 2024 2022 2023 2024 actual actual actual actual réels réels réels réels

Sawn softwood 91.63 89.85 90.39 100.44 97.41 95.73 27.09 26.48 27.10 35.90 34.04 32.43 Sciages conifères

Softwood logs 253.91 254.00 257.31 262.84 262.90 265.12 1.93 1.97 1.86 10.86 10.87 9.68 Grumes de conifères

Sawn hardwood 15.85 16.16 16.46 18.50 18.72 19.03 1.59 1.63 1.56 4.23 4.19 4.13 Sciages non-conifères

– temperate zone 15.57 15.89 16.19 18.50 18.72 19.03 1.29 1.33 1.26 4.21 4.16 4.10 – zone tempérée

– tropical zone 0.29 0.27 0.27 0.00 0.00 0.00 0.31 0.30 0.30 0.02 0.03 0.03 – zone tropicale

Hardwood logs 47.44 48.23 49.33 48.21 48.67 49.44 1.33 1.22 1.18 2.10 1.65 1.30 Grumes de non-conifères

– temperate zone 47.44 48.23 49.32 48.21 48.67 49.44 1.32 1.21 1.18 2.10 1.65 1.30 – zone tempérée

– tropical zone 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 – zone tropicale Veneer sheets 2.85 2.93 2.97 2.87 2.89 2.91 0.86 0.88 0.89 0.88 0.83 0.84 Feuilles de placage

Plywood 16.92 16.92 17.31 10.86 10.90 11.05 7.48 7.37 7.68 1.43 1.36 1.42 Contreplaqués

Particle board (excluding OSB) 6.66 7.45 7.46 6.11 6.58 6.55 1.75 1.97 1.98 1.19 1.10 1.07 Pann. de particules (sauf OSB)

OSB 21.20 21.09 21.35 20.86 20.60 20.86 6.28 6.30 6.39 5.94 5.82 5.89 OSB

Fibreboard 9.92 9.93 10.07 7.64 7.71 7.87 4.18 3.92 3.92 1.90 1.69 1.72 Panneaux de fibres

– Hardboard 0.51 0.56 0.56 0.53 0.59 0.60 0.31 0.28 0.29 0.32 0.32 0.33 – Durs

– MDF 6.21 6.23 6.23 3.83 3.88 3.89 3.55 3.35 3.32 1.17 0.99 0.98 – MDF

– Other board 3.20 3.15 3.28 3.28 3.24 3.38 0.32 0.29 0.31 0.40 0.38 0.41 – Autres panneaux Pulpwood 275.49 275.41 276.58 280.24 279.10 280.51 2.93 3.79 3.78 7.67 7.47 7.70 Bois de trituration

– Pulp logs 197.72 197.99 198.68 197.69 197.86 198.50 0.43 0.41 0.45 0.39 0.28 0.27 – Bois ronds de trituration

– softwood 145.76 147.13 149.24 145.45 146.80 148.85 0.33 0.34 0.41 0.02 0.01 0.01 – conifères

– hardwood 51.96 50.85 49.44 52.24 51.06 49.65 0.10 0.07 0.05 0.37 0.27 0.26 – non-conifères

– Residues, chips and particles 77.77 77.42 77.90 82.55 81.23 82.01 2.50 3.38 3.32 7.28 7.19 7.43 – Déchets, plaquettes et part. Wood pulp 45.79 48.12 48.43 55.02 54.33 54.12 7.42 8.22 8.89 16.65 14.44 14.58 Pâte de bois

Paper and paperboard 69.75 68.96 69.26 75.05 73.60 73.63 10.72 10.42 10.39 16.02 15.06 14.77 Papiers et cartons

Wood pellets 1.13 0.69 0.33 13.37 13.57 13.78 0.23 0.23 0.21 12.47 13.11 13.66 Granulés de bois

TABLE 15

North America: Summary table of market forecasts for 2023 and 2024

Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2023 et 2024 Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions

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

Consommation Apparente Production Imports - Importations Exports - Exportations

forecasts forecasts forecasts forecasts prévisions prévisions prévisions prévisions

  • List of tables
  • Table1
  • Table2
  • Table 2a
  • Table 2b
  • Table 3
  • Table 4
  • Table 5
  • Table 5a
  • Table 6
  • Table 6a
  • Table 6b
  • Table 6c
  • Table 7
  • Table 8
  • Table 9
  • Table 9a
  • Table 9b
  • Table 10
  • Table 11
  • Table 11a
  • Table 11b
  • Table12
  • Table 12a
  • Table 12b
  • Table 12c
  • Table 13
  • Table 14
  • Table 15

JQ2022CHE

JFSQ2022 Country Replies Switzerland

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 Switzerland
Contact organisation Contact organisation Federal statistical office of Switzerland, CH-2010 Neuchâtel
Contact name Contact name
Contact email address Contact email address
2 Changes to previous year
Necessity of update Are there any changes to the quality report of the last data collection? YES
If yes, please provide details below.
3 Statistical processing
Overview of the source data Please provide an overview of the sources used to produce JFSQ data. Federal Statistical Office FSO www.bfs.admin.ch, Federal Office for the Environment FOEN www.bafu.admin.ch
Do you use a dedicated survey (of the industry, of households, of forest owners, etc.)? YES
If yes, please provide details (e.g., who are the respondents, what is its frequency?). Survey of the Cantonal forest offices yearly, forestry and wood processing companies yearly
Do you use forestry statistics? YES
If yes, please provide details. Areas, Removals, Plantings, Accounting numbers, Employees, see homepage www.bfs.admin.ch
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? YES
If yes, please provide details. Annual surveys FOEN, Sawmill Production https://www.bfs.admin.ch/bfs/de/home/statistiken/land-forstwirtschaft/forstwirtschaft/holzverarbeitung.html
Do you use data collected by associations of industry? YES
If yes, please provide details. Annual surveys FOEN (only for paper production)
Do you collect data from direct contacts with manufacturing companies? YES
If yes, please provide details. FOEN: We do collect data from particleboard, paper, fibreboard, Plywood and paper production. https://spkf.ch/jahresbericht-2012/
Do you use estimates of roundwood use (in manufacturing)? YES
If yes, please provide details. Annual survey on Sawmill production
Do you use national trade data? YES
If yes, please provide details. FOEN: Customs data: https://www.gate.ezv.admin.ch/swissimpex/
Do you use felling reports? NO
If yes, please provide details.
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? NO
If yes, please provide details.
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. Four eyes principle, Checks previous deliveries
Do you compare JFSQ data with different data sources or do you perform other cross-checks? YES
If yes, please explain your approach. We do cross check with the official data published in each category
Do you have validation rules and other plausibility checks for the outputs of your JFSQ data compilation process? YES
If yes, please briefly describe them. Validation given by the questionnaire, we check last year values, and do check deviations and if data is complete
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. Our national and cantonal reports already cover the needs of the government and key audiences
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. We have organised a workshop for end 2023 between the different stakeholders.
Do you cross-check the JFSQ data with the results of European Forest Accounts? NO, but EFA performs a cross-check with JFSQ.
If yes, please indicate for which reporting items, and comments on the discrepancies observed, if any. It not, please explain. This issue is discussed with our colleagues responsible for EFA, the discrepancy is mainly due to the non-observed (non-observed economy NOE) wood harvest in the private forests. The National Accounts have to estimate NOE which is not measured by the yearly forestry wood harvest survey (FS, forestry statistics). Through cross-check between National Forest Inventory and FS, we have a rough idea of the amount of wood harvest for own consumption (fire wood) from small private forest owners.
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: CH
Reference year: 2022 Fill in the year
Name of person responsible for reply:
Official address (in full): Federal statistical office of Switzerland, CH-2010 Neuchâtel
Telephone:
Fax:
E-mail:

Removals over bark

Country: CH Date:
Name of Official responsible for reply: 0
Check Table
Official Address (in full):
Federal statistical office of Switzerland, CH-2010 Neuchâtel
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 5238.36 5428.6 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob OK OK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob 1980.23 2125.93 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob OK OK
1.1.C Coniferous 1000 m3ob 833.76 854.82 1.1.C Coniferous 1000 m3ob
1.1.NC Non-Coniferous 1000 m3ob 1146.47 1271.11 1.1.NC Non-Coniferous 1000 m3ob
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob 3258.13 3302.67 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.C Coniferous 1000 m3ob 2836.69 2837.01 1.2.C Coniferous 1000 m3ob OK OK
1.2.NC Non-Coniferous 1000 m3ob 421.44 465.66 1.2.NC Non-Coniferous 1000 m3ob OK OK
1.2.NC.T of which: Tropical 1000 m3ob 0 0 1.2.NC.T of which: Tropical 1000 m3ob OK OK
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob 2690.38 2805.17 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob OK OK
1.2.1.C Coniferous 1000 m3ob 2446.3 2518.6 1.2.1.C Coniferous 1000 m3ob
1.2.1.NC Non-Coniferous 1000 m3ob 244.08 286.57 1.2.1.NC Non-Coniferous 1000 m3ob
1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob 550.08 485.24 1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob OK OK
1.2.2.C Coniferous 1000 m3ob 375.95 309.56 1.2.2.C Coniferous 1000 m3ob
1.2.2.NC Non-Coniferous 1000 m3ob 174.13 175.68 1.2.2.NC Non-Coniferous 1000 m3ob
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob 17.67 12.26 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.3.C Coniferous 1000 m3ob 14.44 8.85 1.2.3.C Coniferous 1000 m3ob
1.2.3.NC Non-Coniferous 1000 m3ob 3.23 3.41 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 1.098 1.120
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) m3/m3 1.097 1.156
1.1.C Coniferous m3/m3 1.111 1.111
1.1.NC Non-Coniferous m3/m3 1.087 1.087
1.2 INDUSTRIAL ROUNDWOOD m3/m3 1.100 1.100
1.2.C Coniferous m3/m3 1.200 1.200
1.2.NC Non-Coniferous m3/m3 1.083 1.083
1.2.NC.T of which: Tropical m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1 SAWLOGS AND VENEER LOGS m3/m3 1.098 1.098
1.2.1.C Coniferous m3/m3 1.100 0.986
1.2.1.NC Non-Coniferous m3/m3 1.100 1.100
1.2.2 PULPWOOD, ROUND AND SPLIT m3/m3 1.200 1.200
1.2.2.C Coniferous m3/m3 1.111 1.111
1.2.2.NC Non-Coniferous m3/m3 1.100 1.100
1.2.3 OTHER INDUSTRIAL ROUNDWOOD m3/m3 1.200 1.200
1.2.3.C Coniferous m3/m3 1.112 1.112
1.2.3.NC Non-Coniferous m3/m3 1.100 1.100

JQ1 Production

Country: CH Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ1 Federal statistical office of Switzerland, CH-2010 Neuchâtel
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 2,576 2,623 2% 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 0 0 missing data Solid wood equivalent
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 4769.55 4845.05 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK Solid Wood Demand agglomerate production 324 324 0% 2.4
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 1805.13 1838.75 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK Error Sawnwood production 1,248 1,248 0% 1
1.1.C Coniferous 1000 m3ub 750.38 769.33 1.1.C Coniferous 1000 m3ub veneer production 0 0 2% 1
1.1.NC Non-Coniferous 1000 m3ub 1054.75 1169.42 1.1.NC Non-Coniferous 1000 m3ub plywood production 7 7 0% 1
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 2964.42 3006.3 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK particle board production (incl OSB) missing data missing data missing data 1.58
1.2.C Coniferous 1000 m3ub 2575.25 2576.2 1.2.C Coniferous 1000 m3ub OK Error fibreboard production missing data missing data missing data 1.8
1.2.NC Non-Coniferous 1000 m3ub 389.17 430.1 1.2.NC Non-Coniferous 1000 m3ub OK OK mechanical/semi-chemical pulp production 94 87 -8% 2.5
1.2.NC.T of which: Tropical 1000 m3ub 0 0 1.2.NC.T of which: Tropical 1000 m3ub OK OK chemical pulp production 0 0 missing data 4.9
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 2449.91 2554.98 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub OK ERROR:#REF! dissolving pulp production 0 0 missing data 5.7
1.2.1.C Coniferous 1000 m3ub 2223.91 2289.64 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 226 265.34 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 498.55 440.22 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 338.35 278.6 1.2.2.C Coniferous 1000 m3ub Positive number means more roundwood available than demanded
1.2.2.NC Non-Coniferous 1000 m3ub 160.2 161.62 1.2.2.NC Non-Coniferous 1000 m3ub
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 15.96 11.1 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK
1.2.3.C Coniferous 1000 m3ub 12.99 7.96 1.2.3.C Coniferous 1000 m3ub % of particle board that is from recovered wood 35%
1.2.3.NC Non-Coniferous 1000 m3ub 2.97 3.14 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 0.124 0.124 5 2 WOOD CHARCOAL 1000 t
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 772.043 772.043 5 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 772.04296 772.04296 5 Estimated Estimated 3.1 WOOD CHIPS AND PARTICLES 1000 m3
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 0.000 0 5 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3
3.2.1 of which: Sawdust 1000 m3 data not available data not available 3.2.1 of which: Sawdust 1000 m3 OK OK
4 RECOVERED POST-CONSUMER WOOD 1000 t 625.8 625.8 5 4 RECOVERED POST-CONSUMER WOOD 1000 t
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 324 324 5 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK
5.1 WOOD PELLETS 1000 t 324 324 5 5.1 WOOD PELLETS 1000 t
5.2 OTHER AGGLOMERATES 1000 t 0 0 5 5.2 OTHER AGGLOMERATES 1000 t
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 1248.288 1248.288 5 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK
6.C Coniferous 1000 m3 1195.911 1195.911 5 6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3 52.377 52.377 5 6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3 3 3 5 national est 6.NC.T of which: Tropical 1000 m3 OK OK
7 VENEER SHEETS 1000 m3 0.362 0.371 7 VENEER SHEETS 1000 m3 OK OK
7.C Coniferous 1000 m3 0 0.07 7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3 0.362 0.301 7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3 0 0 5 It is estimated to be approximatively 0. 7.NC.T of which: Tropical 1000 m3 OK OK
8 WOOD-BASED PANELS 1000 m3 645.326 571.119 8 WOOD-BASED PANELS 1000 m3 OK OK
8.1 PLYWOOD 1000 m3 6.972 7.004 8.1 PLYWOOD 1000 m3 OK OK
8.1.C Coniferous 1000 m3 0.363 0.378 8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3 6.609 6.626 8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3 0 0 5 It is estimated to be approximatively 0/national est 8.1.NC.T of which: Tropical 1000 m3 OK OK
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 data not available data not available 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 OK OK
8.1.1.C Coniferous 1000 m3 data not available data not available 8.1.1.C Coniferous 1000 m3
8.1.1.NC Non-Coniferous 1000 m3 data not available data not available 8.1.1.NC Non-Coniferous 1000 m3
8.1.1.NC.T of which: Tropical 1000 m3 data not available data not available 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 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 0 5 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK
8.3 FIBREBOARD 1000 m3 8.3 FIBREBOARD 1000 m3 OK OK
8.3.1 HARDBOARD 1000 m3 0 0 5 8.3.1 HARDBOARD 1000 m3
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3
8.3.3 OTHER FIBREBOARD 1000 m3 0 0 5 8.3.3 OTHER FIBREBOARD 1000 m3
9 WOOD PULP 1000 t 93.933 86.677 9 WOOD PULP 1000 t OK OK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 93.933 86.677 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t
9.2 CHEMICAL WOOD PULP 1000 t 0 0 5 9.2 CHEMICAL WOOD PULP 1000 t OK OK
9.2.1 SULPHATE PULP 1000 t 0 0 5 9.2.1 SULPHATE PULP 1000 t
9.2.1.1 of which: BLEACHED 1000 t 0 0 5 9.2.1.1 of which: BLEACHED 1000 t OK OK
9.2.2 SULPHITE PULP 1000 t 0 0 5 9.2.2 SULPHITE PULP 1000 t
9.3 DISSOLVING GRADES 1000 t 0 0 5 9.3 DISSOLVING GRADES 1000 t
10 OTHER PULP 1000 t 709.511 709.511 5 10 OTHER PULP 1000 t OK OK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 0 0 5 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t
10.2 RECOVERED FIBRE PULP 1000 t 709.511 709.511 5 10.2 RECOVERED FIBRE PULP 1000 t
11 RECOVERED PAPER 1000 t 1175.57 1175.57 5 11 RECOVERED PAPER 1000 t
12 PAPER AND PAPERBOARD 1000 t no more data available no more data available 12 PAPER AND PAPERBOARD 1000 t OK OK
12.1 GRAPHIC PAPERS 1000 t no more data available no more data available 12.1 GRAPHIC PAPERS 1000 t OK OK
12.1.1 NEWSPRINT 1000 t no more data available no more data available 12.1.1 NEWSPRINT 1000 t
12.1.2 UNCOATED MECHANICAL 1000 t no more data available no more data available 12.1.2 UNCOATED MECHANICAL 1000 t
12.1.3 UNCOATED WOODFREE 1000 t no more data available no more data available 12.1.3 UNCOATED WOODFREE 1000 t
12.1.4 COATED PAPERS 1000 t no more data available no more data available 12.1.4 COATED PAPERS 1000 t
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t no more data available no more data available 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t
12.3 PACKAGING MATERIALS 1000 t no more data available no more data available 12.3 PACKAGING MATERIALS 1000 t OK OK
12.3.1 CASE MATERIALS 1000 t no more data available no more data available 12.3.1 CASE MATERIALS 1000 t
12.3.2 CARTONBOARD 1000 t no more data available no more data available 12.3.2 CARTONBOARD 1000 t
12.3.3 WRAPPING PAPERS 1000 t no more data available no more data available 12.3.3 WRAPPING PAPERS 1000 t
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t no more data available no more data available 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t no more data available no more data available 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 data not available data not available 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 OK OK
15.1 GLULAM 1000 m3 data not available data not available 15.1 GLULAM 1000 m3
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 data not available data not available 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3
16 I BEAMS (I-JOISTS)1 1000 t data not available data not available 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: 25 25
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: CH 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): Federal statistical office of Switzerland, CH-2010 Neuchâtel 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: CH 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 96.919 15900 96.919 15900 459.65 44800 459.65 44800 5 5 5 5 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 4,407 4,482 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 164 164 97 97 ACCEPT ACCEPT 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 16.533 3800 16.533 3800 6.608 300 6.608 300 5 5 5 5 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 1,815 1,849 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 230 230 45 45 ACCEPT ACCEPT 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3
1.1.C Coniferous 1000 m3ub 4.071 900 4.071 900 1.87812 100 1.87812 100 5 5 5 5 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub 753 772 1.1.C Coniferous NAC/m3 221 221 53 53 ACCEPT ACCEPT 1.1.C Coniferous NAC/m3
1.1.NC Non-Coniferous 1000 m3ub 12.462 2900 12.462 2900 4.72971 200 4.72971 200 5 5 5 5 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub 1,062 1,177 1.1.NC Non-Coniferous NAC/m3 233 233 42 42 ACCEPT ACCEPT 1.1.NC Non-Coniferous NAC/m3
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 80.385 12100 80.385 12100 453.042 44500 453.042 44500 5 5 5 5 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 2,592 2,634 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 151 151 98 98 ACCEPT ACCEPT 1.2 INDUSTRIAL ROUNDWOOD NAC/m3
1.2.C Coniferous 1000 m3ub 61.73 8900 61.73 8900 379.88085 37200 379.88085 37200 5 5 5 5 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 2,257 2,258 1.2.C Coniferous NAC/m3 144 144 98 98 ACCEPT ACCEPT 1.2.C Coniferous NAC/m3
1.2.NC Non-Coniferous 1000 m3ub 18.655 3200 18.655 3200 73.16103 7300 73.16103 7300 5 5 5 5 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 335 376 1.2.NC Non-Coniferous NAC/m3 172 172 100 100 ACCEPT ACCEPT 1.2.NC Non-Coniferous NAC/mt
1.2.NC.T of which: Tropical1 1000 m3ub 0.09 100 0.09 100 0.2085 10 0.2085 10 5 5 5 5 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 1111 1111 48 48 ACCEPT ACCEPT 1.2.NC.T of which: Tropical 1000 m3
2 WOOD CHARCOAL 1000 t 12.724 10700 12.724 10700 0.045 100.000 0.045 100.000 5 5 5 5 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL 1000 t 13 13 2 WOOD CHARCOAL NAC / t 841 841 2222 2222 ACCEPT ACCEPT 2 WOOD CHARCOAL 1000 m3
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 772.107 30973.444 772.107 30973.444 83.804 1885.057 83.804 1885.057 5 5 5 5 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 1,460 1,460 3 WOOD CHIPS, PARTICLES AND RESIDUES NAC/m3 40 40 22 22 ACCEPT ACCEPT 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 540.122 12200 540.122 12200 34.77375 400 34.77375 400 5 5 5 5 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3 1,277 1,277 3.1 WOOD CHIPS AND PARTICLES NAC/m3 23 23 12 12 ACCEPT ACCEPT 3.1 WOOD CHIPS AND PARTICLES 1000 mt
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 231.985 18773.444 231.985 18773.444 49.03 1485.057 49.03 1485.057 5 5 5 5 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 183 183 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) NAC/m3 81 81 30 30 ACCEPT ACCEPT 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt
3.2.1 of which: Sawdust 1000 m3 no data available no data available no data available no data available no data available no data available no data available no data available 3.2.1 of which: Sawdust 1000 m3 OK OK OK OK Error Error OK OK 3.2.1 of which: Sawdust 1000 m3 -268 0 3.2.1 of which: Sawdust NAC/m3 REPORT REPORT 9 REPORT CHECK CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 t 2.423 259.796 2.423 259.796 267.741 2320.877 267.741 2320.877 5 5 5 5 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD 1000 t ERROR:#REF! 360 4 RECOVERED POST-CONSUMER WOOD NAC / t 107 107 REPORT 9 ACCEPT CHECK 4 RECOVERED POST-CONSUMER WOOD 1000 mt CHECK
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 83.268 18756.681 83.268 18756.681 1.323 276.165 1.323 276.165 5 5 5 5 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 406 406 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC / t 225 225 209 209 ACCEPT ACCEPT 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3
5.1 WOOD PELLETS 1000 t 79.441 17521.344 79.441 17521.344 0.033 12.666 0.033 12.666 5 5 5 5 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS 1000 t 403 403 5.1 WOOD PELLETS NAC / t 221 221 384 384 ACCEPT ACCEPT 5.1 WOOD PELLETS NAC/m3
5.2 OTHER AGGLOMERATES 1000 t 3.827 1235.337 3.827 1235.337 1.29 263.499 1.29 263.499 5 5 5 5 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES 1000 t 3 3 5.2 OTHER AGGLOMERATES NAC / t 323 323 204 204 ACCEPT ACCEPT 5.2 OTHER AGGLOMERATES NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 349.515 219700 349.515 219700 238.419 65500 238.419 65500 5 5 5 5 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK OK OK Error OK Error OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 1,359 1,359 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 629 629 275 275 ACCEPT ACCEPT 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3
6.C Coniferous 1000 m3 299.93856 153200 299.93856 153200 214.63872 57700 214.63872 57700 5 5 5 5 6.C Coniferous 1000 m3 6.C Coniferous 1000 m3 1,281 1,281 6.C Coniferous NAC/m3 511 511 269 269 ACCEPT ACCEPT 6.C Coniferous NAC/m3
6.NC Non-Coniferous 1000 m3 49.576 66500 49.576 66500 23.78075 7800 23.78075 7800 5 5 5 5 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3 78 78 6.NC Non-Coniferous NAC/m3 1341 1341 328 328 ACCEPT ACCEPT 6.NC Non-Coniferous NAC/m3
6.NC.T of which: Tropical1 1000 m3 5.796 9000 5.796 9000 0.012 100 0.012 100 5 5 5 5 6.NC.T of which: Tropical1 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical1 1000 m3 9 9 6.NC.T of which: Tropical NAC/m3 1553 1553 8333 8333 ACCEPT ACCEPT 6.NC.T of which: Tropical NAC/m3
7 VENEER SHEETS 1000 m3 4.339 20000 4.339 20000 1.011 4400 1.011 4400 5 5 5 5 7 VENEER SHEETS 1000 m3 OK OK OK OK Error OK Error OK 7 VENEER SHEETS 1000 m3 4 4 7 VENEER SHEETS NAC/m3 4609 4609 4352 4352 ACCEPT ACCEPT 7 VENEER SHEETS NAC/m3
7.C Coniferous 1000 m3 0.91663 3000 0.91663 3000 0.27313 1400 0.27313 1400 5 5 5 5 7.C Coniferous 1000 m3 7.C Coniferous 1000 m3 1 1 7.C Coniferous NAC/m3 3273 3273 5126 5126 ACCEPT ACCEPT 7.C Coniferous NAC/m3
7.NC Non-Coniferous 1000 m3 3.42199 17000 3.42199 17000 0.73788 3000 0.73788 3000 5 5 5 5 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3 3 3 7.NC Non-Coniferous NAC/m3 4968 4968 4066 4066 ACCEPT ACCEPT 7.NC Non-Coniferous NAC/m3
7.NC.T of which: Tropical 1000 m3 0.11869 800 0.11869 800 0.00286 0 0.00286 0 5 5 5 5 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 0 0 7.NC.T of which: Tropical NAC/m3 6740 6740 ZERO V ZERO V ACCEPT CHECK 7.NC.T of which: Tropical NAC/m3 CHECK CHECK
8 WOOD-BASED PANELS 1000 m3 747.652 497100 747.652 497100 452.852 251700 452.852 251700 5 5 5 5 8 WOOD-BASED PANELS 1000 m3 Error OK Error OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 940 866 8 WOOD-BASED PANELS NAC/m3 665 665 556 556 ACCEPT ACCEPT 8 WOOD-BASED PANELS NAC/m3
8.1 PLYWOOD 1000 m3 202.706 248200 202.706 248200 4.344 6900 4.344 6900 5 5 5 5 8.1 PLYWOOD 1000 m3 OK OK OK OK Error OK Error OK 8.1 PLYWOOD 1000 m3 205 205 8.1 PLYWOOD NAC/m3 1224 1224 1588 1588 ACCEPT ACCEPT 8.1 PLYWOOD NAC/m3
8.1.C Coniferous 1000 m3 171.55446 208000 171.55446 208000 1.16116 3700 1.16116 3700 5 5 5 5 8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3 171 171 8.1.C Coniferous NAC/m3 1212 1212 3186 3186 ACCEPT ACCEPT 8.1.C Coniferous NAC/m3
8.1.NC Non-Coniferous 1000 m3 31.15112 40200 31.15112 40200 3.18318 3200 3.18318 3200 5 5 5 5 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3 35 35 8.1.NC Non-Coniferous NAC/m3 1290 1290 1005 1005 ACCEPT ACCEPT 8.1.NC Non-Coniferous NAC/m3
8.1.NC.T of which: Tropical 1000 m3 2.5795 4800 2.5795 4800 0.00616 0 0.00616 0 5 5 5 5 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 3 8.1.NC.T of which: Tropical NAC/m3 1861 1861 ZERO V ZERO V ACCEPT CHECK 8.1.NC.T of which: Tropical NAC/m3 CHECK CHECK
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 no data available no data avaible no data available no data available no data available no data available no data available no data available 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 0 8.1.1 of which: Laminated Veneer Lumber (LVL) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
8.1.1.C Coniferous 1000 m3 no data available no data available no data available no data available no data available no data available no data available no data available 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous 1000 m3 0 0 8.1.1.C Coniferous NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
8.1.1.NC Non-Coniferous 1000 m3 no data available no data available no data available no data available no data available no data available no data available no data available 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 REPORT REPORT REPORT CHECK CHECK
8.1.1.NC.T of which: Tropical 1000 m3 no data available no data available no data available no data available no data available no data available no data available no data available 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 REPORT REPORT REPORT CHECK CHECK
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 237.063 123500 237.063 123500 281.25944 90400 281.25944 90400 5 5 5 5 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 -44 -44 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 521 521 321 321 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 95.908 47700 95.908 47700 0.99946 700 0.99946 700 5 5 5 5 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 95 95 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 497 497 700 700 ACCEPT ACCEPT 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3
8.3 FIBREBOARD 1000 m3 307.884 125400 307.884 125400 167.248 154400 167.248 154400 5 5 5 5 8.3 FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 141 141 8.3 FIBREBOARD NAC/m3 407 407 923 923 ACCEPT ACCEPT 8.3 FIBREBOARD NAC/m3
8.3.1 HARDBOARD 1000 m3 23.6859 21900 23.6859 21900 5.4516 7800 5.4516 7800 5 5 5 5 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3 18 18 8.3.1 HARDBOARD NAC/m3 925 925 1431 1431 ACCEPT ACCEPT 8.3.1 HARDBOARD NAC/mt
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 88.43375 65700 88.43375 65700 161.19625 146300 161.19625 146300 5 5 5 5 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 -73 -73 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/m3 743 743 908 908 ACCEPT ACCEPT 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt
8.3.3 OTHER FIBREBOARD 1000 m3 195.764 37800 195.764 37800 0.6 300 0.6 300 5 5 5 5 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3 195 195 8.3.3 OTHER FIBREBOARD NAC/m3 193 193 500 500 ACCEPT ACCEPT 8.3.3 OTHER FIBREBOARD NAC/mt
9 WOOD PULP 1000 t 100.972 70400 100.972 70400 0.22 500 0.22 500 5 5 5 5 9 WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 t 195 187 9 WOOD PULP NAC/t 697 697 2273 2273 ACCEPT ACCEPT 9 WOOD PULP NAC/mt
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 3.35 1300 3.35 1300 0.007 0 0.007 0 5 5 5 5 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 97 90 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/t 388 388 ZERO V ZERO V ACCEPT CHECK 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt CHECK CHECK
9.2 CHEMICAL WOOD PULP 1000 t 97.152 68400 97.152 68400 0.085 300 0.085 300 5 5 5 5 9.2 CHEMICAL WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 t 97 97 9.2 CHEMICAL WOOD PULP NAC/t 704 704 3529 3529 ACCEPT ACCEPT 9.2 CHEMICAL WOOD PULP NAC/mt
9.2.1 SULPHATE PULP 1000 t 96.712 67500 96.712 67500 0.047 100 0.047 100 5 5 5 5 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP 1000 t 97 97 9.2.1 SULPHATE PULP NAC/t 698 698 2128 2128 ACCEPT ACCEPT 9.2.1 SULPHATE PULP NAC/mt
9.2.1.1 of which: BLEACHED 1000 t 72.975 50800 72.975 50800 0.041 100 0.041 100 5 5 5 5 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 73 73 9.2.1.1 of which: BLEACHED NAC/t 696 696 2439 2439 ACCEPT ACCEPT 9.2.1.1 of which: BLEACHED NAC/mt
9.2.2 SULPHITE PULP 1000 t 0.44 900 0.44 900 0.038 200 0.038 200 5 5 5 5 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP 1000 t 0 0 9.2.2 SULPHITE PULP NAC/t 2045 2045 5263 5263 ACCEPT ACCEPT 9.2.2 SULPHITE PULP NAC/mt
9.3 DISSOLVING GRADES 1000 t 0.47 700 0.47 700 0.128 200 0.128 200 5 5 5 5 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES 1000 t 0 0 9.3 DISSOLVING GRADES NAC/t 1489 1489 1563 1563 ACCEPT ACCEPT 9.3 DISSOLVING GRADES NAC/mt
10 OTHER PULP 1000 t 9.847 10100 9.847 10100 110.243 5200 110.243 5200 5 5 5 5 10 OTHER PULP 1000 t OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 t 609 609 10 OTHER PULP NAC/t 1026 1026 47 47 ACCEPT ACCEPT 10 OTHER PULP NAC/mt
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 3.897 6500 3.897 6500 2.121 1100 2.121 1100 5 5 5 5 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 2 2 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/t 1668 1668 519 519 ACCEPT ACCEPT 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt
10.2 RECOVERED FIBRE PULP 1000 t 5.95 3600 5.95 3600 108.122 4100 108.122 4100 5 5 5 5 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP 1000 t 607 607 10.2 RECOVERED FIBRE PULP NAC/t 605 605 38 38 ACCEPT ACCEPT 10.2 RECOVERED FIBRE PULP NAC/mt
11 RECOVERED PAPER 1000 t 224.809 46200 224.809 46200 463.112 87400 463.112 87400 5 5 5 5 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER 1000 t 937 937 11 RECOVERED PAPER NAC/t 206 206 189 189 ACCEPT ACCEPT 11 RECOVERED PAPER NAC/mt
12 PAPER AND PAPERBOARD 1000 t 643.7 681100 643.7 681100 785.718 630200 785.718 630200 5 5 5 5 12 PAPER AND PAPERBOARD 1000 t ERROR:#REF! ERROR:#REF! OK OK ERROR:#REF! ERROR:#REF! OK OK 12 PAPER AND PAPERBOARD 1000 t -142 -142 12 PAPER AND PAPERBOARD NAC/t 1058 1058 802 802 ACCEPT ACCEPT 12 PAPER AND PAPERBOARD NAC/mt
12.1 GRAPHIC PAPERS 1000 t 352.48 345500 352.48 345500 417.07 264200 417.07 264200 5 5 5 5 12.1 GRAPHIC PAPERS 1000 t OK OK OK OK OK Error OK OK 12.1 GRAPHIC PAPERS 1000 t 92 -65 12.1 GRAPHIC PAPERS NAC/t 980 980 467 633 ACCEPT ACCEPT 12.1 GRAPHIC PAPERS NAC/mt
12.1.1 NEWSPRINT 1000 t 65.393 28900 65.393 28900 260.282 121600 260.282 121600 5 5 5 5 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT 1000 t 9 -195 12.1.1 NEWSPRINT NAC/t 848 442 1942 467 ACCEPT CHECK 12.1.1 NEWSPRINT NAC/mt
12.1.2 UNCOATED MECHANICAL 1000 t 8.723 7400 8.723 7400 0.206 400 0.206 400 5 5 5 5 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL 1000 t 169 9 12.1.2 UNCOATED MECHANICAL NAC/t 1173 848 6778 1942 ACCEPT CHECK 12.1.2 UNCOATED MECHANICAL NAC/mt
12.1.3 UNCOATED WOODFREE 1000 t 174.121 204300 174.121 204300 5.562 37700 5.562 37700 5 5 5 5 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE 1000 t -47 169 12.1.3 UNCOATED WOODFREE NAC/t 1006 1173 692 6778 ACCEPT CHECK 12.1.3 UNCOATED WOODFREE NAC/mt
12.1.4 COATED PAPERS 1000 t 104.243 104900 104.243 104900 151.02 104500 151.02 104500 5 5 5 5 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS 1000 t -14 -47 12.1.4 COATED PAPERS NAC/t 2043 1006 1256 692 CHECK ACCEPT 12.1.4 COATED PAPERS NAC/mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 6.166 12600 6.166 12600 19.738 24800 19.738 24800 5 5 5 5 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t ERROR:#REF! -14 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/t REPORT 2043 REPORT 1256 CHECK CHECK 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt CHECK CHECK
12.3 PACKAGING MATERIALS 1000 t 280.011 295300 280.011 295300 335.373 319600 335.373 319600 5 5 5 5 12.3 PACKAGING MATERIALS 1000 t OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 t -55 -55 12.3 PACKAGING MATERIALS NAC/t 1055 1055 953 953 ACCEPT ACCEPT 12.3 PACKAGING MATERIALS NAC/mt
12.3.1 CASE MATERIALS 1000 t 165.692 107600 165.692 107600 316.886 170000 316.886 170000 5 5 5 5 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS 1000 t -151 -151 12.3.1 CASE MATERIALS NAC/t 649 649 536 536 ACCEPT ACCEPT 12.3.1 CASE MATERIALS NAC/mt
12.3.2 CARTONBOARD 1000 t 64.247 105300 64.247 105300 12.702 72600 12.702 72600 5 5 5 5 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD 1000 t 52 52 12.3.2 CARTONBOARD NAC/t 1639 1639 5716 5716 ACCEPT ACCEPT 12.3.2 CARTONBOARD NAC/mt
12.3.3 WRAPPING PAPERS 1000 t 30.4149171805 66200 30.4149171805 66200 5.3219911227 75500 5.3219911227 75500 5 5 5 5 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS 1000 t 25 25 12.3.3 WRAPPING PAPERS NAC/t 2177 2177 14186 14186 ACCEPT ACCEPT 12.3.3 WRAPPING PAPERS NAC/mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 19.657 16200 19.657 16200 0.463 1500 0.463 1500 5 5 5 5 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 19 19 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/t 824 824 3240 3240 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 5.043 27700 5.043 27700 13.537 21600 13.537 21600 5 5 5 5 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 -8 -8 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/t 5493 5493 1596 1596 ACCEPT ACCEPT 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 no data available no data available no data available no data available no data available no data available no data available no data available 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 0 0 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
15.1 GLULAM 1000 m3 no data available no data available no data available no data available no data available no data available no data available no data available 15.1 GLULAM 1000 m3 15.1 GLULAM 1000 m3 0 0 15.1 GLULAM NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 no data available no data available no data available no data available no data available no data available no data available no data available 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0 0 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
16 I BEAMS (I-JOISTS)2 1000 t no data available no data available no data available no data available no data available no data available no data available no data available 16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 1000 t 0 0 16 I BEAMS (I-JOISTS)1 NAC/t REPORT REPORT REPORT REPORT 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: 9 9 9 9 9 9 9 9
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: CH Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ3 Federal statistical office of Switzerland, CH-2010 Neuchâtel
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 3435890.000 3395970.000 525580.000 393508.000 13 SECONDARY WOOD PRODUCTS OK OK OK OK
13.1 FURTHER PROCESSED SAWNWOOD 157596 157515 2140 1955 13.1 FURTHER PROCESSED SAWNWOOD OK OK OK OK
13.1.C Coniferous 73777 62363 1226 846 13.1.C Coniferous
13.1.NC Non-coniferous 83819 95152 914 1109 13.1.NC Non-coniferous
13.1.NC.T of which: Tropical 79408 91027 821 1053 13.1.NC.T of which: Tropical OK OK OK OK
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 138698 159166 27895 32796 13.2 WOODEN WRAPPING AND PACKAGING MATERIAL
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 89932 110869 36430 35844 13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1 560127 682981 98413 68078 13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1
13.5 WOODEN FURNITURE 2244451 2029191 321724 200895 13.5 WOODEN FURNITURE
13.6 PREFABRICATED BUILDINGS OF WOOD 86613 91962 21947 33877 13.6 PREFABRICATED BUILDINGS OF WOOD
13.7 OTHER MANUFACTURED WOOD PRODUCTS 158473 164286 17031 20063 13.7 OTHER MANUFACTURED WOOD PRODUCTS
14 SECONDARY PAPER PRODUCTS 1421848.000 1629054.000 342677.000 357850.000 14 SECONDARY PAPER PRODUCTS OK OK OK OK
14.1 COMPOSITE PAPER AND PAPERBOARD 6819 7731 27406 27640 14.1 COMPOSITE PAPER AND PAPERBOARD
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 107187 121149 32755 40325 14.2 SPECIAL COATED PAPER AND PULP PRODUCTS
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 243146 316454 47856 35737 14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4 PACKAGING CARTONS, BOXES ETC. 743592 817760 169190 177249 14.4 PACKAGING CARTONS, BOXES ETC.
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 321104 365960 65470 76899 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 65914 71433 8120 8697 14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 16146 20366 1917 2436 14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 3461 3314 490 635 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: CH Date:
Name of Official responsible for reply: 0
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade Official Address (in full): Check Table
Federal statistical office of Switzerland, CH-2010 Neuchâtel 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 OK OK OK OK OK OK OK OK 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK PRODUCTION I M P O R T E X P O R T
4403.21/22 of which: Pine (Pinus spp.) 1000 m3ub OK OK OK OK OK OK OK OK 4403.21/22 of which: Pine (Pinus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK Product Classification Classification Unit of 2021 2022 2021 2022 2021 2022
4403 21 10 sawlogs and veneer logs 1000 m3ub 4403 21 10 sawlogs and veneer logs NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 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 4403 21 90 4403 22 00 pulpwood and other industrial roundwood NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 1 4401.11/12 44.03 Roundwood production 1000 m3 JQ1 4,770 4,845
4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3ub OK OK OK OK OK OK OK OK 4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK EU2 4769.55 4945.06
4403 23 10 sawlogs and veneer logs 1000 m3ub 4403 23 10 sawlogs and veneer logs NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 0 -100
4403 23 90 4403 24 00 pulpwood and other industrial roundwood 1000 m3ub 4403 23 90 4403 24 00 pulpwood and other industrial roundwood NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood (wood in the rough), Coniferous 1000 m3 JQ2 62 8,900 62 8,900 380 37,200 380 37,200
1.2.NC 4403.12/41/42/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous 1000 m3ub 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 REPORT REPORT REPORT REPORT CHECK CHECK ECE/EU 0 0 0 0 0 0 0 0
ex4403.12 4403.91 of which: Oak (Quercus spp.) 1000 m3ub ex4403.12 4403.91 of which: Oak (Quercus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 62 8,900 62 8,900 380 37,200 380 37,200
ex4403.12 4403.93/94 of which: Beech (Fagus spp.) 1000 m3ub ex4403.12 4403.93/94 of which: Beech (Fagus spp.) NAC/m3 REPORT REPORT REPORT REPORT 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 19 3,200 19 3,200 73 7,300 73 7,300
ex4403.12 4403.95/96 of which: Birch (Betula spp.) 1000 m3ub OK OK OK OK OK OK OK OK ex4403.12 4403.95/96 of which: Birch (Betula spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK ECE/EU 0 0 0 0 0 0 0 0
4403 95 10 sawlogs and veneer logs 1000 m3ub 4403 95 10 sawlogs and veneer logs NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 19 3,200 19 3,200 73 7,300 73 7,300
ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood 1000 m3ub ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous 1000 m3 JQ2 300 153,200 300 153,200 215 57,700 215 57,700
ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) 1000 m3ub ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK ECE/EU 0 0 0 0 0 0 0 0
ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) 1000 m3ub ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 300 153,200 300 153,200 215 57,700 215 57,700
6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous 1000 m3 OK OK OK OK OK OK OK OK 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 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 50 66,500 50 66,500 24 7,800 24 7,800
4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) 1000 m3 4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK ECE/EU 0 0 0 0 0 0 0 0
4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3 4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 50 66,500 50 66,500 24 7,800 24 7,800
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 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 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.91 of which: Oak (Quercus spp.) 1000 m3 ex4406.12/92 4407.91 of which: Oak (Quercus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.92 of which: Beech (Fagus spp.) 1000 m3 ex4406.12/92 4407.92 of which: Beech (Fagus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.93 of which: Maple (Acer spp.) 1000 m3 ex4406.12/92 4407.93 of which: Maple (Acer spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) 1000 m3 ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) 1000 m3 ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.96 of which: Birch (Betula spp.) 1000 m3 ex4406.12/92 4407.96 of which: Birch (Betula spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) 1000 m3 ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
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: 26 26 26 26 26 26 26 26
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: CH 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): Federal statistical office of Switzerland, CH-2010 Neuchâtel 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 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 REPORT REPORT REPORT REPORT CHECK CHECK
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 OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
1.1.C Coniferous 1000 m3ub OK OK OK OK OK OK OK OK 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
1.1.NC Non-Coniferous 1000 m3ub OK OK OK OK OK OK OK OK 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 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 REPORT REPORT REPORT REPORT CHECK CHECK
1.2.C Coniferous 1000 m3ub OK OK OK OK OK OK OK OK 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
1.2.NC Non-Coniferous 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
1.2.NC.T of which: Tropical 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
2 WOOD CHARCOAL 1000 t OK OK OK OK OK OK OK OK 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 OK OK OK OK OK OK OK OK 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
3.2.1 of which: Sawdust 1000 m3 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 REPORT REPORT REPORT CHECK CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 t OK OK OK OK ERROR:#REF! ERROR:#REF! OK OK 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 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 REPORT REPORT REPORT REPORT CHECK CHECK
5.1 WOOD PELLETS 1000 t OK OK OK OK OK OK OK OK 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
5.2 OTHER AGGLOMERATES 1000 t OK OK OK OK OK OK OK OK 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
6.C Coniferous 1000 m3 OK OK OK OK OK OK OK OK 6.C Coniferous 1000 m3 6.C Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
6.NC Non-Coniferous 1000 m3 OK OK OK OK OK OK OK OK 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
6.NC.T of which: Tropical 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
7 VENEER SHEETS 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
7.C Coniferous 1000 m3 OK OK OK OK OK OK OK OK 7.C Coniferous 1000 m3 7.C Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
7.NC Non-Coniferous 1000 m3 OK OK OK OK OK OK OK OK 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
7.NC.T of which: Tropical 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
8 WOOD-BASED PANELS 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
8.1 PLYWOOD 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
8.1.C Coniferous 1000 m3 OK OK OK OK OK OK OK OK 8.1.C Coniferous 1000 m3 8.1.C Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
8.1.NC Non-Coniferous 1000 m3 OK OK OK OK OK OK OK OK 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
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 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
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 OK OK OK OK OK OK OK OK 8.1.1 of which: Laminated Veneer Lumber (LVL) NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
8.1.1.C Coniferous 1000 m3 OK OK OK OK OK OK OK OK 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
8.1.1.NC Non-Coniferous 1000 m3 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 REPORT REPORT REPORT CHECK CHECK
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 OK OK OK OK OK OK OK OK 8.1.1.NC.T of which: Tropical NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
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) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
8.3 FIBREBOARD 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
8.3.1 HARDBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 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 REPORT REPORT REPORT REPORT CHECK CHECK
8.3.3 OTHER FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
9 WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9 WOOD PULP NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 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 REPORT REPORT REPORT REPORT CHECK CHECK
9.2 CHEMICAL WOOD PULP 1000 t 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 REPORT REPORT REPORT REPORT CHECK CHECK
9.2.1 SULPHATE PULP 1000 t OK OK OK OK OK OK OK OK 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
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 OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
9.2.2 SULPHITE PULP 1000 t OK OK OK OK OK OK OK OK 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
9.3 DISSOLVING GRADES 1000 t OK OK OK OK OK OK OK OK 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
10 OTHER PULP 1000 t 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 REPORT REPORT REPORT REPORT CHECK CHECK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 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 REPORT REPORT REPORT REPORT CHECK CHECK
10.2 RECOVERED FIBRE PULP 1000 t OK OK OK OK OK OK OK OK 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
11 RECOVERED PAPER 1000 t OK OK OK OK OK OK OK OK 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12 PAPER AND PAPERBOARD 1000 t OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 t OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.1 GRAPHIC PAPERS 1000 t OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 t OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.1.1 NEWSPRINT 1000 t OK OK OK OK OK OK OK OK 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.1.2 UNCOATED MECHANICAL 1000 t OK OK OK OK OK OK OK OK 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.1.3 UNCOATED WOODFREE 1000 t OK OK OK OK OK OK OK OK 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.1.4 COATED PAPERS 1000 t OK OK OK OK OK OK OK OK 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t ERROR:#REF! ERROR:#REF! OK OK ERROR:#REF! ERROR:#REF! OK OK 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.3 PACKAGING MATERIALS 1000 t 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 REPORT REPORT REPORT REPORT CHECK CHECK
12.3.1 CASE MATERIALS 1000 t OK OK OK OK OK OK OK OK 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.3.2 CARTONBOARD 1000 t OK OK OK OK OK OK OK OK 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.3.3 WRAPPING PAPERS 1000 t OK OK OK OK OK OK OK OK 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS NAC/ t REPORT REPORT REPORT REPORT CHECK CHECK
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 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 REPORT REPORT REPORT REPORT CHECK CHECK
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 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 REPORT REPORT REPORT REPORT CHECK CHECK
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 OK OK OK OK OK OK OK OK 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
15.1 GLULAM 1000 m3 OK OK OK OK OK OK OK OK 15.1 GLULAM 1000 m3 15.1 GLULAM NAC/ m3 REPORT REPORT REPORT REPORT CHECK CHECK
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 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 REPORT REPORT REPORT CHECK CHECK
16 I BEAMS (I-JOISTS)1 1000 t 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 REPORT REPORT REPORT CHECK CHECK
To fill: 68 68 68 68 68 68 68 68

EU2 Removals

Country: CH Date:
Name of Official responsible for reply: 0
Official Address (in full):
Federal statistical office of Switzerland, CH-2010 Neuchâtel
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 4769.55 4945.06 1 ROUNDWOOD 1000 m3 OK OK
1.C Coniferous 1000 m3 3325.63 3345.54 1.C Coniferous 1000 m3 OK OK
1.NC Non-coniferous 1000 m3 1443.92 1599.52 1.NC Non-coniferous 1000 m3 OK OK
State forests 1000 m3 300.79 304.57 State forests 1000 m3 OK OK
Coniferous 1000 m3 194.09 183.45 Coniferous 1000 m3
Non-coniferous 1000 m3 106.7 121.12 Non-coniferous 1000 m3
Other publicly owned forests 1000 m3 2773.38 2741.19 Other publicly owned forests 1000 m3 OK OK
Coniferous 1000 m3 1899.52 1816.93 Coniferous 1000 m3
Non-coniferous 1000 m3 873.86 924.26 Non-coniferous 1000 m3
Private forest 1000 m3 1695.38 1899.3 Private forest 1000 m3 OK OK
Coniferous 1000 m3 1232.02 1345.16 Coniferous 1000 m3
Non-coniferous 1000 m3 463.36 554.14 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: CH Date:
Name of Official responsible for reply: 0
Official Address (in full): Federal statistical office of Switzerland, CH-2010 Neuchâtel
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: CH Date:
ITTO2 Name of Official responsible for reply: 0
Official Address (in full): Federal statistical office of Switzerland, CH-2010 Neuchâtel
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
CH P.OB 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P.OB 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH 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
CH P 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH 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 CH M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

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% 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
CH M 1000 NAC 11_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 11_7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC 12_7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 11_7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 12_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 12_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 12_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 12_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 12_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 12_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 12_6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH 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 CH M 1000 m3 ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH M 1000 m3 ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH M 1000 m3 ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH M 1000 m3 ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH M 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH M 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH X 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH M 1000 m3 ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH X 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH M 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH M 1000 m3 ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH X 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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CH M 1000 NAC ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q CH X 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH X 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH M 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH M 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH M 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH X 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH X 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH 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 CH EX_M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_M 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q CH EX_X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH EX_X 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV CH 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
CH P 1000 m3 EU2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH P 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
CH 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 4412.31/33/34/41/42/51/52/91/92 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
CH PRD 2021 RW_OB TOTAL THS_M3 5238.36
CH PRD 2021 RW_FW_OB TOTAL THS_M3 1980.23
CH PRD 2021 RW_FW_OB CONIF THS_M3 833.76
CH PRD 2021 RW_FW_OB NCONIF THS_M3 1146.47
CH PRD 2021 RW_IN_OB TOTAL THS_M3 3258.13
CH PRD 2021 RW_IN_OB CONIF THS_M3 2836.69
CH PRD 2021 RW_IN_OB NCONIF THS_M3 421.44
CH PRD 2021 RW_IN_OB NC_TRO THS_M3 0
CH PRD 2021 RW_IN_LG_OB TOTAL THS_M3 2690.38
CH PRD 2021 RW_IN_LG_OB CONIF THS_M3 2446.3
CH PRD 2021 RW_IN_LG_OB NCONIF THS_M3 244.08
CH PRD 2021 RW_IN_PW_OB TOTAL THS_M3 550.08
CH PRD 2021 RW_IN_PW_OB CONIF THS_M3 375.95
CH PRD 2021 RW_IN_PW_OB NCONIF THS_M3 174.13
CH PRD 2021 RW_IN_O_OB TOTAL THS_M3 17.67
CH PRD 2021 RW_IN_O_OB CONIF THS_M3 14.44
CH PRD 2021 RW_IN_O_OB NCONIF THS_M3 3.23
CH PRD 2022 RW_OB TOTAL THS_M3 5428.6
CH PRD 2022 RW_FW_OB TOTAL THS_M3 2125.93
CH PRD 2022 RW_FW_OB CONIF THS_M3 854.82
CH PRD 2022 RW_FW_OB NCONIF THS_M3 1271.11
CH PRD 2022 RW_IN_OB TOTAL THS_M3 3302.67
CH PRD 2022 RW_IN_OB CONIF THS_M3 2837.01
CH PRD 2022 RW_IN_OB NCONIF THS_M3 465.66
CH PRD 2022 RW_IN_OB NC_TRO THS_M3 0
CH PRD 2022 RW_IN_LG_OB TOTAL THS_M3 2805.17
CH PRD 2022 RW_IN_LG_OB CONIF THS_M3 2518.6
CH PRD 2022 RW_IN_LG_OB NCONIF THS_M3 286.57
CH PRD 2022 RW_IN_PW_OB TOTAL THS_M3 485.24
CH PRD 2022 RW_IN_PW_OB CONIF THS_M3 309.56
CH PRD 2022 RW_IN_PW_OB NCONIF THS_M3 175.68
CH PRD 2022 RW_IN_O_OB TOTAL THS_M3 12.26
CH PRD 2022 RW_IN_O_OB CONIF THS_M3 8.85
CH PRD 2022 RW_IN_O_OB NCONIF THS_M3 3.41
CH PRD 2021 RW TOTAL THS_M3 4769.55
CH PRD 2021 RW_FW TOTAL THS_M3 1805.13
CH PRD 2021 RW_FW CONIF THS_M3 750.38
CH PRD 2021 RW_FW NCONIF THS_M3 1054.75
CH PRD 2021 RW_IN TOTAL THS_M3 2964.42
CH PRD 2021 RW_IN CONIF THS_M3 2575.25
CH PRD 2021 RW_IN NCONIF THS_M3 389.17
CH PRD 2021 RW_IN NC_TRO THS_M3 0
CH PRD 2021 RW_IN_LG TOTAL THS_M3 2449.91
CH PRD 2021 RW_IN_LG CONIF THS_M3 2223.91
CH PRD 2021 RW_IN_LG NCONIF THS_M3 226
CH PRD 2021 RW_IN_PW TOTAL THS_M3 498.55
CH PRD 2021 RW_IN_PW CONIF THS_M3 338.35
CH PRD 2021 RW_IN_PW NCONIF THS_M3 160.2
CH PRD 2021 RW_IN_O TOTAL THS_M3 15.96
CH PRD 2021 RW_IN_O CONIF THS_M3 12.99
CH PRD 2021 RW_IN_O NCONIF THS_M3 2.97
CH PRD 2021 CHA TOTAL THS_T 0.124
CH PRD 2021 CHP_RES TOTAL THS_M3 772.043
CH PRD 2021 CHP TOTAL THS_M3 772.04296
CH PRD 2021 RES TOTAL THS_M3 0
CH PRD 2021 RES_SWD TOTAL THS_M3
CH PRD 2021 RCW TOTAL THS_T 625.8
CH PRD 2021 PEL_AGG TOTAL THS_T 324
CH PRD 2021 PEL TOTAL THS_T 324
CH PRD 2021 AGG TOTAL THS_T 0
CH PRD 2021 SN TOTAL THS_M3 1248.288
CH PRD 2021 SN CONIF THS_M3 1195.911
CH PRD 2021 SN NCONIF THS_M3 52.377
CH PRD 2021 SN NC_TRO THS_M3 3
CH PRD 2021 PN_VN TOTAL THS_M3 0.362
CH PRD 2021 PN_VN CONIF THS_M3 0
CH PRD 2021 PN_VN NCONIF THS_M3 0.362
CH PRD 2021 PN_VN NC_TRO THS_M3 0
CH PRD 2021 PN TOTAL THS_M3 645.326
CH PRD 2021 PN_PY TOTAL THS_M3 6.972
CH PRD 2021 PN_PY CONIF THS_M3 0.363
CH PRD 2021 PN_PY NCONIF THS_M3 6.609
CH PRD 2021 PN_PY NC_TRO THS_M3 0
CH PRD 2021 PN_PY_LVL TOTAL THS_M3
CH PRD 2021 PN_PY_LVL CONIF THS_M3
CH PRD 2021 PN_PY_LVL NCONIF THS_M3
CH PRD 2021 PN_PY_LVL NC_TRO THS_M3
CH PRD 2021 PN_PB TOTAL THS_M3
CH PRD 2021 PN_PB_OSB TOTAL THS_M3 0
CH PRD 2021 PN_FB TOTAL THS_M3
CH PRD 2021 PN_FB_HB TOTAL THS_M3 0
CH PRD 2021 PN_FB_MDF TOTAL THS_M3
CH PRD 2021 PN_FB_O TOTAL THS_M3 0
CH PRD 2021 PL TOTAL THS_T 93.933
CH PRD 2021 PL_MC_SCH TOTAL THS_T 93.933
CH PRD 2021 PL_CH TOTAL THS_T 0
CH PRD 2021 PL_CH_SA TOTAL THS_T 0
CH PRD 2021 PL_CH_SAB TOTAL THS_T 0
CH PRD 2021 PL_CH_SI TOTAL THS_T 0
CH PRD 2021 PL_DS TOTAL THS_T 0
CH PRD 2021 PLO TOTAL THS_T 709.511
CH PRD 2021 PLO_NW TOTAL THS_T 0
CH PRD 2021 PLO_RC TOTAL THS_T 709.511
CH PRD 2021 RCP TOTAL THS_T 1175.57
CH PRD 2021 PP TOTAL THS_T
CH PRD 2021 PP_GR TOTAL THS_T
CH PRD 2021 PP_GR_NP TOTAL THS_T
CH PRD 2021 PP_GR_MC TOTAL THS_T
CH PRD 2021 PP_GR_NW TOTAL THS_T
CH PRD 2021 PP_GR_CO TOTAL THS_T
CH PRD 2021 PP_HS TOTAL THS_T
CH PRD 2021 PP_PK TOTAL THS_T
CH PRD 2021 PP_PK_CS TOTAL THS_T
CH PRD 2021 PP_PK_CB TOTAL THS_T
CH PRD 2021 PP_PK_WR TOTAL THS_T
CH PRD 2021 PP_PK_O TOTAL THS_T
CH PRD 2021 PP_O TOTAL THS_T
CH PRD 2021 GLT_CLT TOTAL THS_M3
CH PRD 2021 GLT TOTAL THS_M3
CH PRD 2021 CLT TOTAL THS_M3
CH PRD 2021 I_BEAMS TOTAL THS_T
CH PRD 2022 RW TOTAL THS_M3 4845.05
CH PRD 2022 RW_FW TOTAL THS_M3 1838.75
CH PRD 2022 RW_FW CONIF THS_M3 769.33
CH PRD 2022 RW_FW NCONIF THS_M3 1169.42
CH PRD 2022 RW_IN TOTAL THS_M3 3006.3
CH PRD 2022 RW_IN CONIF THS_M3 2576.2
CH PRD 2022 RW_IN NCONIF THS_M3 430.1
CH PRD 2022 RW_IN NC_TRO THS_M3 0
CH PRD 2022 RW_IN_LG TOTAL THS_M3
CH PRD 2022 RW_IN_LG CONIF THS_M3 2554.98
CH PRD 2022 RW_IN_LG NCONIF THS_M3 265.34
CH PRD 2022 RW_IN_PW TOTAL THS_M3 440.22
CH PRD 2022 RW_IN_PW CONIF THS_M3 278.6
CH PRD 2022 RW_IN_PW NCONIF THS_M3 161.62
CH PRD 2022 RW_IN_O TOTAL THS_M3 11.1
CH PRD 2022 RW_IN_O CONIF THS_M3 7.96
CH PRD 2022 RW_IN_O NCONIF THS_M3 3.14
CH PRD 2022 CHA TOTAL THS_T 0.124 5
CH PRD 2022 CHP_RES TOTAL THS_M3 772.043 5
CH PRD 2022 CHP TOTAL THS_M3 772.04296 5
CH PRD 2022 RES TOTAL THS_M3 0 5
CH PRD 2022 RES_SWD TOTAL THS_M3
CH PRD 2022 RCW TOTAL THS_T 625.8 5
CH PRD 2022 PEL_AGG TOTAL THS_T 324 5
CH PRD 2022 PEL TOTAL THS_T 324 5
CH PRD 2022 AGG TOTAL THS_T 0 5
CH PRD 2022 SN TOTAL THS_M3 1248.288 5
CH PRD 2022 SN CONIF THS_M3 1195.911 5
CH PRD 2022 SN NCONIF THS_M3 52.377 5
CH PRD 2022 SN NC_TRO THS_M3 3 5
CH PRD 2022 PN_VN TOTAL THS_M3 0.371
CH PRD 2022 PN_VN CONIF THS_M3 0.07
CH PRD 2022 PN_VN NCONIF THS_M3 0.301
CH PRD 2022 PN_VN NC_TRO THS_M3 0 5
CH PRD 2022 PN TOTAL THS_M3 571.119
CH PRD 2022 PN_PY TOTAL THS_M3 7.004
CH PRD 2022 PN_PY CONIF THS_M3 0.378
CH PRD 2022 PN_PY NCONIF THS_M3 6.626
CH PRD 2022 PN_PY NC_TRO THS_M3 0 5
CH PRD 2022 PN_PY_LVL TOTAL THS_M3
CH PRD 2022 PN_PY_LVL CONIF THS_M3
CH PRD 2022 PN_PY_LVL NCONIF THS_M3
CH PRD 2022 PN_PY_LVL NC_TRO THS_M3
CH PRD 2022 PN_PB TOTAL THS_M3
CH PRD 2022 PN_PB_OSB TOTAL THS_M3 0 5
CH PRD 2022 PN_FB TOTAL THS_M3
CH PRD 2022 PN_FB_HB TOTAL THS_M3 0 5
CH PRD 2022 PN_FB_MDF TOTAL THS_M3
CH PRD 2022 PN_FB_O TOTAL THS_M3 0 5
CH PRD 2022 PL TOTAL THS_T 86.677
CH PRD 2022 PL_MC_SCH TOTAL THS_T 86.677
CH PRD 2022 PL_CH TOTAL THS_T 0 5
CH PRD 2022 PL_CH_SA TOTAL THS_T 0 5
CH PRD 2022 PL_CH_SAB TOTAL THS_T 0 5
CH PRD 2022 PL_CH_SI TOTAL THS_T 0 5
CH PRD 2022 PL_DS TOTAL THS_T 0 5
CH PRD 2022 PLO TOTAL THS_T 709.511 5
CH PRD 2022 PLO_NW TOTAL THS_T 0 5
CH PRD 2022 PLO_RC TOTAL THS_T 709.511 5
CH PRD 2022 RCP TOTAL THS_T 1175.57 5
CH PRD 2022 PP TOTAL THS_T
CH PRD 2022 PP_GR TOTAL THS_T
CH PRD 2022 PP_GR_NP TOTAL THS_T
CH PRD 2022 PP_GR_MC TOTAL THS_T
CH PRD 2022 PP_GR_NW TOTAL THS_T
CH PRD 2022 PP_GR_CO TOTAL THS_T
CH PRD 2022 PP_HS TOTAL THS_T
CH PRD 2022 PP_PK TOTAL THS_T
CH PRD 2022 PP_PK_CS TOTAL THS_T
CH PRD 2022 PP_PK_CB TOTAL THS_T
CH PRD 2022 PP_PK_WR TOTAL THS_T
CH PRD 2022 PP_PK_O TOTAL THS_T
CH PRD 2022 PP_O TOTAL THS_T
CH PRD 2022 GLT_CLT TOTAL THS_M3
CH PRD 2022 GLT TOTAL THS_M3
CH PRD 2022 CLT TOTAL THS_M3
CH PRD 2022 I_BEAMS TOTAL THS_T
CH IMP 2021 RW TOTAL THS_M3 96.919
CH IMP 2021 RW_FW TOTAL THS_M3 16.533
CH IMP 2021 RW_FW CONIF THS_M3 4.071
CH IMP 2021 RW_FW NCONIF THS_M3 12.462
CH IMP 2021 RW_IN TOTAL THS_M3 80.385
CH IMP 2021 RW_IN CONIF THS_M3 61.73
CH IMP 2021 RW_IN NCONIF THS_M3 18.655
CH IMP 2021 RW_IN NC_TRO THS_M3 0.09
CH IMP 2021 CHA TOTAL THS_T 12.724
CH IMP 2021 CHP_RES TOTAL THS_M3 772.107
CH IMP 2021 CHP TOTAL THS_M3 540.122
CH IMP 2021 RES TOTAL THS_M3 231.985
CH IMP 2021 RES_SWD TOTAL THS_M3
CH IMP 2021 RCW TOTAL THS_T 2.423
CH IMP 2021 PEL_AGG TOTAL THS_T 83.268
CH IMP 2021 PEL TOTAL THS_T 79.441
CH IMP 2021 AGG TOTAL THS_T 3.827
CH IMP 2021 SN TOTAL THS_M3 349.515
CH IMP 2021 SN CONIF THS_M3 299.93856
CH IMP 2021 SN NCONIF THS_M3 49.576
CH IMP 2021 SN NC_TRO THS_M3 5.796
CH IMP 2021 PN_VN TOTAL THS_M3 4.339
CH IMP 2021 PN_VN CONIF THS_M3 0.91663
CH IMP 2021 PN_VN NCONIF THS_M3 3.42199
CH IMP 2021 PN_VN NC_TRO THS_M3 0.11869
CH IMP 2021 PN TOTAL THS_M3 747.652
CH IMP 2021 PN_PY TOTAL THS_M3 202.706
CH IMP 2021 PN_PY CONIF THS_M3 171.55446
CH IMP 2021 PN_PY NCONIF THS_M3 31.15112
CH IMP 2021 PN_PY NC_TRO THS_M3 2.5795
CH IMP 2021 PN_PY_LVL TOTAL THS_M3
CH IMP 2021 PN_PY_LVL CONIF THS_M3
CH IMP 2021 PN_PY_LVL NCONIF THS_M3
CH IMP 2021 PN_PY_LVL NC_TRO THS_M3
CH IMP 2021 PN_PB TOTAL THS_M3 237.063
CH IMP 2021 PN_PB_OSB TOTAL THS_M3 95.908
CH IMP 2021 PN_FB TOTAL THS_M3 307.884
CH IMP 2021 PN_FB_HB TOTAL THS_M3 23.6859
CH IMP 2021 PN_FB_MDF TOTAL THS_M3 88.43375
CH IMP 2021 PN_FB_O TOTAL THS_M3 195.764
CH IMP 2021 PL TOTAL THS_T 100.972
CH IMP 2021 PL_MC_SCH TOTAL THS_T 3.35
CH IMP 2021 PL_CH TOTAL THS_T 97.152
CH IMP 2021 PL_CH_SA TOTAL THS_T 96.712
CH IMP 2021 PL_CH_SAB TOTAL THS_T 72.975
CH IMP 2021 PL_CH_SI TOTAL THS_T 0.44
CH IMP 2021 PL_DS TOTAL THS_T 0.47
CH IMP 2021 PLO TOTAL THS_T 9.847
CH IMP 2021 PLO_NW TOTAL THS_T 3.897
CH IMP 2021 PLO_RC TOTAL THS_T 5.95
CH IMP 2021 RCP TOTAL THS_T 224.809
CH IMP 2021 PP TOTAL THS_T 643.7
CH IMP 2021 PP_GR TOTAL THS_T 352.48
CH IMP 2021 PP_GR_NP TOTAL THS_T 8.723
CH IMP 2021 PP_GR_MC TOTAL THS_T 174.121
CH IMP 2021 PP_GR_NW TOTAL THS_T 104.243
CH IMP 2021 PP_GR_CO TOTAL THS_T 6.166
CH IMP 2021 PP_HS TOTAL THS_T
CH IMP 2021 PP_PK TOTAL THS_T 280.011
CH IMP 2021 PP_PK_CS TOTAL THS_T 165.692
CH IMP 2021 PP_PK_CB TOTAL THS_T 64.247
CH IMP 2021 PP_PK_WR TOTAL THS_T 30.4149171805
CH IMP 2021 PP_PK_O TOTAL THS_T 19.657
CH IMP 2021 PP_O TOTAL THS_T 5.043
CH IMP 2021 GLT_CLT TOTAL THS_M3
CH IMP 2021 GLT TOTAL THS_M3
CH IMP 2021 CLT TOTAL THS_M3
CH IMP 2021 I_BEAMS TOTAL THS_T
CH IMP 2021 RW TOTAL THS_NAC 15900
CH IMP 2021 RW_FW TOTAL THS_NAC 3800
CH IMP 2021 RW_FW CONIF THS_NAC 900
CH IMP 2021 RW_FW NCONIF THS_NAC 2900
CH IMP 2021 RW_IN TOTAL THS_NAC 12100
CH IMP 2021 RW_IN CONIF THS_NAC 8900
CH IMP 2021 RW_IN NCONIF THS_NAC 3200
CH IMP 2021 RW_IN NC_TRO THS_NAC 100
CH IMP 2021 CHA TOTAL THS_NAC 10700
CH IMP 2021 CHP_RES TOTAL THS_NAC 30973.444
CH IMP 2021 CHP TOTAL THS_NAC 12200
CH IMP 2021 RES TOTAL THS_NAC 18773.444
CH IMP 2021 RES_SWD TOTAL THS_NAC
CH IMP 2021 RCW TOTAL THS_NAC 259.796
CH IMP 2021 PEL_AGG TOTAL THS_NAC 18756.681
CH IMP 2021 PEL TOTAL THS_NAC 17521.344
CH IMP 2021 AGG TOTAL THS_NAC 1235.337
CH IMP 2021 SN TOTAL THS_NAC 219700
CH IMP 2021 SN CONIF THS_NAC 153200
CH IMP 2021 SN NCONIF THS_NAC 66500
CH IMP 2021 SN NC_TRO THS_NAC 9000
CH IMP 2021 PN_VN TOTAL THS_NAC 20000
CH IMP 2021 PN_VN CONIF THS_NAC 3000
CH IMP 2021 PN_VN NCONIF THS_NAC 17000
CH IMP 2021 PN_VN NC_TRO THS_NAC 800
CH IMP 2021 PN TOTAL THS_NAC 497100
CH IMP 2021 PN_PY TOTAL THS_NAC 248200
CH IMP 2021 PN_PY CONIF THS_NAC 208000
CH IMP 2021 PN_PY NCONIF THS_NAC 40200
CH IMP 2021 PN_PY NC_TRO THS_NAC 4800
CH IMP 2021 PN_PY_LVL TOTAL THS_NAC
CH IMP 2021 PN_PY_LVL CONIF THS_NAC
CH IMP 2021 PN_PY_LVL NCONIF THS_NAC
CH IMP 2021 PN_PY_LVL NC_TRO THS_NAC
CH IMP 2021 PN_PB TOTAL THS_NAC 123500
CH IMP 2021 PN_PB_OSB TOTAL THS_NAC 47700
CH IMP 2021 PN_FB TOTAL THS_NAC 125400
CH IMP 2021 PN_FB_HB TOTAL THS_NAC 21900
CH IMP 2021 PN_FB_MDF TOTAL THS_NAC 65700
CH IMP 2021 PN_FB_O TOTAL THS_NAC 37800
CH IMP 2021 PL TOTAL THS_NAC 70400
CH IMP 2021 PL_MC_SCH TOTAL THS_NAC 1300
CH IMP 2021 PL_CH TOTAL THS_NAC 68400
CH IMP 2021 PL_CH_SA TOTAL THS_NAC 67500
CH IMP 2021 PL_CH_SAB TOTAL THS_NAC 50800
CH IMP 2021 PL_CH_SI TOTAL THS_NAC 900
CH IMP 2021 PL_DS TOTAL THS_NAC 700
CH IMP 2021 PLO TOTAL THS_NAC 10100
CH IMP 2021 PLO_NW TOTAL THS_NAC 6500
CH IMP 2021 PLO_RC TOTAL THS_NAC 3600
CH IMP 2021 RCP TOTAL THS_NAC 46200
CH IMP 2021 PP TOTAL THS_NAC 681100
CH IMP 2021 PP_GR TOTAL THS_NAC 345500
CH IMP 2021 PP_GR_NP TOTAL THS_NAC 7400
CH IMP 2021 PP_GR_MC TOTAL THS_NAC 204300
CH IMP 2021 PP_GR_NW TOTAL THS_NAC 104900
CH IMP 2021 PP_GR_CO TOTAL THS_NAC 12600
CH IMP 2021 PP_HS TOTAL THS_NAC
CH IMP 2021 PP_PK TOTAL THS_NAC 295300
CH IMP 2021 PP_PK_CS TOTAL THS_NAC 107600
CH IMP 2021 PP_PK_CB TOTAL THS_NAC 105300
CH IMP 2021 PP_PK_WR TOTAL THS_NAC 66200
CH IMP 2021 PP_PK_O TOTAL THS_NAC 16200
CH IMP 2021 PP_O TOTAL THS_NAC 27700
CH IMP 2021 GLT_CLT TOTAL THS_NAC
CH IMP 2021 GLT TOTAL THS_NAC
CH IMP 2021 CLT TOTAL THS_NAC
CH IMP 2021 I_BEAMS TOTAL THS_NAC
CH IMP 2022 RW TOTAL THS_M3 96.919 5
CH IMP 2022 RW_FW TOTAL THS_M3 16.533 5
CH IMP 2022 RW_FW CONIF THS_M3 4.071 5
CH IMP 2022 RW_FW NCONIF THS_M3 12.462 5
CH IMP 2022 RW_IN TOTAL THS_M3 80.385 5
CH IMP 2022 RW_IN CONIF THS_M3 61.73 5
CH IMP 2022 RW_IN NCONIF THS_M3 18.655 5
CH IMP 2022 RW_IN NC_TRO THS_M3 0.09 5
CH IMP 2022 CHA TOTAL THS_T 12.724 5
CH IMP 2022 CHP_RES TOTAL THS_M3 772.107 5
CH IMP 2022 CHP TOTAL THS_M3 540.122 5
CH IMP 2022 RES TOTAL THS_M3 231.985 5
CH IMP 2022 RES_SWD TOTAL THS_M3
CH IMP 2022 RCW TOTAL THS_T 2.423 5
CH IMP 2022 PEL_AGG TOTAL THS_T 83.268 5
CH IMP 2022 PEL TOTAL THS_T 79.441 5
CH IMP 2022 AGG TOTAL THS_T 3.827 5
CH IMP 2022 SN TOTAL THS_M3 349.515 5
CH IMP 2022 SN CONIF THS_M3 299.93856 5
CH IMP 2022 SN NCONIF THS_M3 49.576 5
CH IMP 2022 SN NC_TRO THS_M3 5.796 5
CH IMP 2022 PN_VN TOTAL THS_M3 4.339 5
CH IMP 2022 PN_VN CONIF THS_M3 0.91663 5
CH IMP 2022 PN_VN NCONIF THS_M3 3.42199 5
CH IMP 2022 PN_VN NC_TRO THS_M3 0.11869 5
CH IMP 2022 PN TOTAL THS_M3 747.652 5
CH IMP 2022 PN_PY TOTAL THS_M3 202.706 5
CH IMP 2022 PN_PY CONIF THS_M3 171.55446 5
CH IMP 2022 PN_PY NCONIF THS_M3 31.15112 5
CH IMP 2022 PN_PY NC_TRO THS_M3 2.5795 5
CH IMP 2022 PN_PY_LVL TOTAL THS_M3
CH IMP 2022 PN_PY_LVL CONIF THS_M3
CH IMP 2022 PN_PY_LVL NCONIF THS_M3
CH IMP 2022 PN_PY_LVL NC_TRO THS_M3
CH IMP 2022 PN_PB TOTAL THS_M3 237.063 5
CH IMP 2022 PN_PB_OSB TOTAL THS_M3 95.908 5
CH IMP 2022 PN_FB TOTAL THS_M3 307.884 5
CH IMP 2022 PN_FB_HB TOTAL THS_M3 23.6859 5
CH IMP 2022 PN_FB_MDF TOTAL THS_M3 88.43375 5
CH IMP 2022 PN_FB_O TOTAL THS_M3 195.764 5
CH IMP 2022 PL TOTAL THS_T 100.972 5
CH IMP 2022 PL_MC_SCH TOTAL THS_T 3.35 5
CH IMP 2022 PL_CH TOTAL THS_T 97.152 5
CH IMP 2022 PL_CH_SA TOTAL THS_T 96.712 5
CH IMP 2022 PL_CH_SAB TOTAL THS_T 72.975 5
CH IMP 2022 PL_CH_SI TOTAL THS_T 0.44 5
CH IMP 2022 PL_DS TOTAL THS_T 0.47 5
CH IMP 2022 PLO TOTAL THS_T 9.847 5
CH IMP 2022 PLO_NW TOTAL THS_T 3.897 5
CH IMP 2022 PLO_RC TOTAL THS_T 5.95 5
CH IMP 2022 RCP TOTAL THS_T 224.809 5
CH IMP 2022 PP TOTAL THS_T 643.7 5
CH IMP 2022 PP_GR TOTAL THS_T 352.48 5
CH IMP 2022 PP_GR_NP TOTAL THS_T 65.393 5
CH IMP 2022 PP_GR_MC TOTAL THS_T 8.723 5
CH IMP 2022 PP_GR_NW TOTAL THS_T 174.121 5
CH IMP 2022 PP_GR_CO TOTAL THS_T 104.243 5
CH IMP 2022 PP_HS TOTAL THS_T 6.166 5
CH IMP 2022 PP_PK TOTAL THS_T 280.011 5
CH IMP 2022 PP_PK_CS TOTAL THS_T 165.692 5
CH IMP 2022 PP_PK_CB TOTAL THS_T 64.247 5
CH IMP 2022 PP_PK_WR TOTAL THS_T 30.4149171805 5
CH IMP 2022 PP_PK_O TOTAL THS_T 19.657 5
CH IMP 2022 PP_O TOTAL THS_T 5.043 5
CH IMP 2022 GLT_CLT TOTAL THS_M3
CH IMP 2022 GLT TOTAL THS_M3
CH IMP 2022 CLT TOTAL THS_M3
CH IMP 2022 I_BEAMS TOTAL THS_T
CH IMP 2022 RW TOTAL THS_NAC 15900 5
CH IMP 2022 RW_FW TOTAL THS_NAC 3800 5
CH IMP 2022 RW_FW CONIF THS_NAC 900 5
CH IMP 2022 RW_FW NCONIF THS_NAC 2900 5
CH IMP 2022 RW_IN TOTAL THS_NAC 12100 5
CH IMP 2022 RW_IN CONIF THS_NAC 8900 5
CH IMP 2022 RW_IN NCONIF THS_NAC 3200 5
CH IMP 2022 RW_IN NC_TRO THS_NAC 100 5
CH IMP 2022 CHA TOTAL THS_NAC 10700 5
CH IMP 2022 CHP_RES TOTAL THS_NAC 30973.444 5
CH IMP 2022 CHP TOTAL THS_NAC 12200 5
CH IMP 2022 RES TOTAL THS_NAC 18773.444 5
CH IMP 2022 RES_SWD TOTAL THS_NAC
CH IMP 2022 RCW TOTAL THS_NAC 259.796 5
CH IMP 2022 PEL_AGG TOTAL THS_NAC 18756.681 5
CH IMP 2022 PEL TOTAL THS_NAC 17521.344 5
CH IMP 2022 AGG TOTAL THS_NAC 1235.337 5
CH IMP 2022 SN TOTAL THS_NAC 219700 5
CH IMP 2022 SN CONIF THS_NAC 153200 5
CH IMP 2022 SN NCONIF THS_NAC 66500 5
CH IMP 2022 SN NC_TRO THS_NAC 9000 5
CH IMP 2022 PN_VN TOTAL THS_NAC 20000 5
CH IMP 2022 PN_VN CONIF THS_NAC 3000 5
CH IMP 2022 PN_VN NCONIF THS_NAC 17000 5
CH IMP 2022 PN_VN NC_TRO THS_NAC 800 5
CH IMP 2022 PN TOTAL THS_NAC 497100 5
CH IMP 2022 PN_PY TOTAL THS_NAC 248200 5
CH IMP 2022 PN_PY CONIF THS_NAC 208000 5
CH IMP 2022 PN_PY NCONIF THS_NAC 40200 5
CH IMP 2022 PN_PY NC_TRO THS_NAC 4800 5
CH IMP 2022 PN_PY_LVL TOTAL THS_NAC
CH IMP 2022 PN_PY_LVL CONIF THS_NAC
CH IMP 2022 PN_PY_LVL NCONIF THS_NAC
CH IMP 2022 PN_PY_LVL NC_TRO THS_NAC
CH IMP 2022 PN_PB TOTAL THS_NAC 123500 5
CH IMP 2022 PN_PB_OSB TOTAL THS_NAC 47700 5
CH IMP 2022 PN_FB TOTAL THS_NAC 125400 5
CH IMP 2022 PN_FB_HB TOTAL THS_NAC 21900 5
CH IMP 2022 PN_FB_MDF TOTAL THS_NAC 65700 5
CH IMP 2022 PN_FB_O TOTAL THS_NAC 37800 5
CH IMP 2022 PL TOTAL THS_NAC 70400 5
CH IMP 2022 PL_MC_SCH TOTAL THS_NAC 1300 5
CH IMP 2022 PL_CH TOTAL THS_NAC 68400 5
CH IMP 2022 PL_CH_SA TOTAL THS_NAC 67500 5
CH IMP 2022 PL_CH_SAB TOTAL THS_NAC 50800 5
CH IMP 2022 PL_CH_SI TOTAL THS_NAC 900 5
CH IMP 2022 PL_DS TOTAL THS_NAC 700 5
CH IMP 2022 PLO TOTAL THS_NAC 10100 5
CH IMP 2022 PLO_NW TOTAL THS_NAC 6500 5
CH IMP 2022 PLO_RC TOTAL THS_NAC 3600 5
CH IMP 2022 RCP TOTAL THS_NAC 46200 5
CH IMP 2022 PP TOTAL THS_NAC 681100 5
CH IMP 2022 PP_GR TOTAL THS_NAC 345500 5
CH IMP 2022 PP_GR_NP TOTAL THS_NAC 28900 5
CH IMP 2022 PP_GR_MC TOTAL THS_NAC 7400 5
CH IMP 2022 PP_GR_NW TOTAL THS_NAC 204300 5
CH IMP 2022 PP_GR_CO TOTAL THS_NAC 104900 5
CH IMP 2022 PP_HS TOTAL THS_NAC 12600 5
CH IMP 2022 PP_PK TOTAL THS_NAC 295300 5
CH IMP 2022 PP_PK_CS TOTAL THS_NAC 107600 5
CH IMP 2022 PP_PK_CB TOTAL THS_NAC 105300 5
CH IMP 2022 PP_PK_WR TOTAL THS_NAC 66200 5
CH IMP 2022 PP_PK_O TOTAL THS_NAC 16200 5
CH IMP 2022 PP_O TOTAL THS_NAC 27700 5
CH IMP 2022 GLT_CLT TOTAL THS_NAC
CH IMP 2022 GLT TOTAL THS_NAC
CH IMP 2022 CLT TOTAL THS_NAC
CH IMP 2022 I_BEAMS TOTAL THS_NAC
CH EXP 2021 RW TOTAL THS_M3 459.65
CH EXP 2021 RW_FW TOTAL THS_M3 6.608
CH EXP 2021 RW_FW CONIF THS_M3 1.87812
CH EXP 2021 RW_FW NCONIF THS_M3 4.72971
CH EXP 2021 RW_IN TOTAL THS_M3 453.042
CH EXP 2021 RW_IN CONIF THS_M3 379.88085
CH EXP 2021 RW_IN NCONIF THS_M3 73.16103
CH EXP 2021 RW_IN NC_TRO THS_M3 0.2085
CH EXP 2021 CHA TOTAL THS_T 0.045
CH EXP 2021 CHP_RES TOTAL THS_M3 83.804
CH EXP 2021 CHP TOTAL THS_M3 34.77375
CH EXP 2021 RES TOTAL THS_M3 49.03
CH EXP 2021 RES_SWD TOTAL THS_M3 267.741
CH EXP 2021 RCW TOTAL THS_T
CH EXP 2021 PEL_AGG TOTAL THS_T 1.323
CH EXP 2021 PEL TOTAL THS_T 0.033
CH EXP 2021 AGG TOTAL THS_T 1.29
CH EXP 2021 SN TOTAL THS_M3 238.419
CH EXP 2021 SN CONIF THS_M3 214.63872
CH EXP 2021 SN NCONIF THS_M3 23.78075
CH EXP 2021 SN NC_TRO THS_M3 0.012
CH EXP 2021 PN_VN TOTAL THS_M3 1.011
CH EXP 2021 PN_VN CONIF THS_M3 0.27313
CH EXP 2021 PN_VN NCONIF THS_M3 0.73788
CH EXP 2021 PN_VN NC_TRO THS_M3 0.00286
CH EXP 2021 PN TOTAL THS_M3 452.852
CH EXP 2021 PN_PY TOTAL THS_M3 4.344
CH EXP 2021 PN_PY CONIF THS_M3 1.16116
CH EXP 2021 PN_PY NCONIF THS_M3 3.18318
CH EXP 2021 PN_PY NC_TRO THS_M3 0.00616
CH EXP 2021 PN_PY_LVL TOTAL THS_M3
CH EXP 2021 PN_PY_LVL CONIF THS_M3
CH EXP 2021 PN_PY_LVL NCONIF THS_M3
CH EXP 2021 PN_PY_LVL NC_TRO THS_M3
CH EXP 2021 PN_PB TOTAL THS_M3 281.25944
CH EXP 2021 PN_PB_OSB TOTAL THS_M3 0.99946
CH EXP 2021 PN_FB TOTAL THS_M3 167.248
CH EXP 2021 PN_FB_HB TOTAL THS_M3 5.4516
CH EXP 2021 PN_FB_MDF TOTAL THS_M3 161.19625
CH EXP 2021 PN_FB_O TOTAL THS_M3 0.6
CH EXP 2021 PL TOTAL THS_T 0.22
CH EXP 2021 PL_MC_SCH TOTAL THS_T 0.007
CH EXP 2021 PL_CH TOTAL THS_T 0.085
CH EXP 2021 PL_CH_SA TOTAL THS_T 0.047
CH EXP 2021 PL_CH_SAB TOTAL THS_T 0.041
CH EXP 2021 PL_CH_SI TOTAL THS_T 0.038
CH EXP 2021 PL_DS TOTAL THS_T 0.128
CH EXP 2021 PLO TOTAL THS_T 110.243
CH EXP 2021 PLO_NW TOTAL THS_T 2.121
CH EXP 2021 PLO_RC TOTAL THS_T 108.122
CH EXP 2021 RCP TOTAL THS_T 463.112
CH EXP 2021 PP TOTAL THS_T 785.718
CH EXP 2021 PP_GR TOTAL THS_T 260.282
CH EXP 2021 PP_GR_NP TOTAL THS_T 0.206
CH EXP 2021 PP_GR_MC TOTAL THS_T 5.562
CH EXP 2021 PP_GR_NW TOTAL THS_T 151.02
CH EXP 2021 PP_GR_CO TOTAL THS_T 19.738
CH EXP 2021 PP_HS TOTAL THS_T
CH EXP 2021 PP_PK TOTAL THS_T 335.373
CH EXP 2021 PP_PK_CS TOTAL THS_T 316.886
CH EXP 2021 PP_PK_CB TOTAL THS_T 12.702
CH EXP 2021 PP_PK_WR TOTAL THS_T 5.3219911227
CH EXP 2021 PP_PK_O TOTAL THS_T 0.463
CH EXP 2021 PP_O TOTAL THS_T 13.537
CH EXP 2021 GLT_CLT TOTAL THS_M3
CH EXP 2021 GLT TOTAL THS_M3
CH EXP 2021 CLT TOTAL THS_M3
CH EXP 2021 I_BEAMS TOTAL THS_T
CH EXP 2021 RW TOTAL THS_NAC 44800
CH EXP 2021 RW_FW TOTAL THS_NAC 300
CH EXP 2021 RW_FW CONIF THS_NAC 100
CH EXP 2021 RW_FW NCONIF THS_NAC 200
CH EXP 2021 RW_IN TOTAL THS_NAC 44500
CH EXP 2021 RW_IN CONIF THS_NAC 37200
CH EXP 2021 RW_IN NCONIF THS_NAC 7300
CH EXP 2021 RW_IN NC_TRO THS_NAC 10
CH EXP 2021 CHA TOTAL THS_NAC 100
CH EXP 2021 CHP_RES TOTAL THS_NAC 1885.057
CH EXP 2021 CHP TOTAL THS_NAC 400
CH EXP 2021 RES TOTAL THS_NAC 1485.057
CH EXP 2021 RES_SWD TOTAL THS_NAC 2320.877
CH EXP 2021 RCW TOTAL THS_NAC
CH EXP 2021 PEL_AGG TOTAL THS_NAC 276.165
CH EXP 2021 PEL TOTAL THS_NAC 12.666
CH EXP 2021 AGG TOTAL THS_NAC 263.499
CH EXP 2021 SN TOTAL THS_NAC 65500
CH EXP 2021 SN CONIF THS_NAC 57700
CH EXP 2021 SN NCONIF THS_NAC 7800
CH EXP 2021 SN NC_TRO THS_NAC 100
CH EXP 2021 PN_VN TOTAL THS_NAC 4400
CH EXP 2021 PN_VN CONIF THS_NAC 1400
CH EXP 2021 PN_VN NCONIF THS_NAC 3000
CH EXP 2021 PN_VN NC_TRO THS_NAC 0
CH EXP 2021 PN TOTAL THS_NAC 251700
CH EXP 2021 PN_PY TOTAL THS_NAC 6900
CH EXP 2021 PN_PY CONIF THS_NAC 3700
CH EXP 2021 PN_PY NCONIF THS_NAC 3200
CH EXP 2021 PN_PY NC_TRO THS_NAC 0
CH EXP 2021 PN_PY_LVL TOTAL THS_NAC
CH EXP 2021 PN_PY_LVL CONIF THS_NAC
CH EXP 2021 PN_PY_LVL NCONIF THS_NAC
CH EXP 2021 PN_PY_LVL NC_TRO THS_NAC
CH EXP 2021 PN_PB TOTAL THS_NAC 90400
CH EXP 2021 PN_PB_OSB TOTAL THS_NAC 700
CH EXP 2021 PN_FB TOTAL THS_NAC 154400
CH EXP 2021 PN_FB_HB TOTAL THS_NAC 7800
CH EXP 2021 PN_FB_MDF TOTAL THS_NAC 146300
CH EXP 2021 PN_FB_O TOTAL THS_NAC 300
CH EXP 2021 PL TOTAL THS_NAC 500
CH EXP 2021 PL_MC_SCH TOTAL THS_NAC 0
CH EXP 2021 PL_CH TOTAL THS_NAC 300
CH EXP 2021 PL_CH_SA TOTAL THS_NAC 100
CH EXP 2021 PL_CH_SAB TOTAL THS_NAC 100
CH EXP 2021 PL_CH_SI TOTAL THS_NAC 200
CH EXP 2021 PL_DS TOTAL THS_NAC 200
CH EXP 2021 PLO TOTAL THS_NAC 5200
CH EXP 2021 PLO_NW TOTAL THS_NAC 1100
CH EXP 2021 PLO_RC TOTAL THS_NAC 4100
CH EXP 2021 RCP TOTAL THS_NAC 87400
CH EXP 2021 PP TOTAL THS_NAC 630200
CH EXP 2021 PP_GR TOTAL THS_NAC 121600
CH EXP 2021 PP_GR_NP TOTAL THS_NAC 400
CH EXP 2021 PP_GR_MC TOTAL THS_NAC 37700
CH EXP 2021 PP_GR_NW TOTAL THS_NAC 104500
CH EXP 2021 PP_GR_CO TOTAL THS_NAC 24800
CH EXP 2021 PP_HS TOTAL THS_NAC
CH EXP 2021 PP_PK TOTAL THS_NAC 319600
CH EXP 2021 PP_PK_CS TOTAL THS_NAC 170000
CH EXP 2021 PP_PK_CB TOTAL THS_NAC 72600
CH EXP 2021 PP_PK_WR TOTAL THS_NAC 75500
CH EXP 2021 PP_PK_O TOTAL THS_NAC 1500
CH EXP 2021 PP_O TOTAL THS_NAC 21600
CH EXP 2021 GLT_CLT TOTAL THS_NAC
CH EXP 2021 GLT TOTAL THS_NAC
CH EXP 2021 CLT TOTAL THS_NAC
CH EXP 2021 I_BEAMS TOTAL THS_NAC
CH EXP 2022 RW TOTAL THS_M3 459.65 5
CH EXP 2022 RW_FW TOTAL THS_M3 6.608 5
CH EXP 2022 RW_FW CONIF THS_M3 1.87812 5
CH EXP 2022 RW_FW NCONIF THS_M3 4.72971 5
CH EXP 2022 RW_IN TOTAL THS_M3 453.042 5
CH EXP 2022 RW_IN CONIF THS_M3 379.88085 5
CH EXP 2022 RW_IN NCONIF THS_M3 73.16103 5
CH EXP 2022 RW_IN NC_TRO THS_M3 0.2085 5
CH EXP 2022 CHA TOTAL THS_T 0.045 5
CH EXP 2022 CHP_RES TOTAL THS_M3 83.804 5
CH EXP 2022 CHP TOTAL THS_M3 34.77375 5
CH EXP 2022 RES TOTAL THS_M3 49.03 5
CH EXP 2022 RES_SWD TOTAL THS_M3
CH EXP 2022 RCW TOTAL THS_T 267.741 5
CH EXP 2022 PEL_AGG TOTAL THS_T 1.323 5
CH EXP 2022 PEL TOTAL THS_T 0.033 5
CH EXP 2022 AGG TOTAL THS_T 1.29 5
CH EXP 2022 SN TOTAL THS_M3 238.419 5
CH EXP 2022 SN CONIF THS_M3 214.63872 5
CH EXP 2022 SN NCONIF THS_M3 23.78075 5
CH EXP 2022 SN NC_TRO THS_M3 0.012 5
CH EXP 2022 PN_VN TOTAL THS_M3 1.011 5
CH EXP 2022 PN_VN CONIF THS_M3 0.27313 5
CH EXP 2022 PN_VN NCONIF THS_M3 0.73788 5
CH EXP 2022 PN_VN NC_TRO THS_M3 0.00286 5
CH EXP 2022 PN TOTAL THS_M3 452.852 5
CH EXP 2022 PN_PY TOTAL THS_M3 4.344 5
CH EXP 2022 PN_PY CONIF THS_M3 1.16116 5
CH EXP 2022 PN_PY NCONIF THS_M3 3.18318 5
CH EXP 2022 PN_PY NC_TRO THS_M3 0.00616 5
CH EXP 2022 PN_PY_LVL TOTAL THS_M3
CH EXP 2022 PN_PY_LVL CONIF THS_M3
CH EXP 2022 PN_PY_LVL NCONIF THS_M3
CH EXP 2022 PN_PY_LVL NC_TRO THS_M3
CH EXP 2022 PN_PB TOTAL THS_M3 281.25944 5
CH EXP 2022 PN_PB_OSB TOTAL THS_M3 0.99946 5
CH EXP 2022 PN_FB TOTAL THS_M3 167.248 5
CH EXP 2022 PN_FB_HB TOTAL THS_M3 5.4516 5
CH EXP 2022 PN_FB_MDF TOTAL THS_M3 161.19625 5
CH EXP 2022 PN_FB_O TOTAL THS_M3 0.6 5
CH EXP 2022 PL TOTAL THS_T 0.22 5
CH EXP 2022 PL_MC_SCH TOTAL THS_T 0.007 5
CH EXP 2022 PL_CH TOTAL THS_T 0.085 5
CH EXP 2022 PL_CH_SA TOTAL THS_T 0.047 5
CH EXP 2022 PL_CH_SAB TOTAL THS_T 0.041 5
CH EXP 2022 PL_CH_SI TOTAL THS_T 0.038 5
CH EXP 2022 PL_DS TOTAL THS_T 0.128 5
CH EXP 2022 PLO TOTAL THS_T 110.243 5
CH EXP 2022 PLO_NW TOTAL THS_T 2.121 5
CH EXP 2022 PLO_RC TOTAL THS_T 108.122 5
CH EXP 2022 RCP TOTAL THS_T 463.112 5
CH EXP 2022 PP TOTAL THS_T 785.718 5
CH EXP 2022 PP_GR TOTAL THS_T 417.07 5
CH EXP 2022 PP_GR_NP TOTAL THS_T 260.282 5
CH EXP 2022 PP_GR_MC TOTAL THS_T 0.206 5
CH EXP 2022 PP_GR_NW TOTAL THS_T 5.562 5
CH EXP 2022 PP_GR_CO TOTAL THS_T 151.02 5
CH EXP 2022 PP_HS TOTAL THS_T 19.738 5
CH EXP 2022 PP_PK TOTAL THS_T 335.373 5
CH EXP 2022 PP_PK_CS TOTAL THS_T 316.886 5
CH EXP 2022 PP_PK_CB TOTAL THS_T 12.702 5
CH EXP 2022 PP_PK_WR TOTAL THS_T 5.3219911227 5
CH EXP 2022 PP_PK_O TOTAL THS_T 0.463 5
CH EXP 2022 PP_O TOTAL THS_T 13.537 5
CH EXP 2022 GLT_CLT TOTAL THS_M3
CH EXP 2022 GLT TOTAL THS_M3
CH EXP 2022 CLT TOTAL THS_M3
CH EXP 2022 I_BEAMS TOTAL THS_T
CH EXP 2022 RW TOTAL THS_NAC 44800 5
CH EXP 2022 RW_FW TOTAL THS_NAC 300 5
CH EXP 2022 RW_FW CONIF THS_NAC 100 5
CH EXP 2022 RW_FW NCONIF THS_NAC 200 5
CH EXP 2022 RW_IN TOTAL THS_NAC 44500 5
CH EXP 2022 RW_IN CONIF THS_NAC 37200 5
CH EXP 2022 RW_IN NCONIF THS_NAC 7300 5
CH EXP 2022 RW_IN NC_TRO THS_NAC 10 5
CH EXP 2022 CHA TOTAL THS_NAC 100 5
CH EXP 2022 CHP_RES TOTAL THS_NAC 1885.057 5
CH EXP 2022 CHP TOTAL THS_NAC 400 5
CH EXP 2022 RES TOTAL THS_NAC 1485.057 5
CH EXP 2022 RES_SWD TOTAL THS_NAC
CH EXP 2022 RCW TOTAL THS_NAC 2320.877 5
CH EXP 2022 PEL_AGG TOTAL THS_NAC 276.165 5
CH EXP 2022 PEL TOTAL THS_NAC 12.666 5
CH EXP 2022 AGG TOTAL THS_NAC 263.499 5
CH EXP 2022 SN TOTAL THS_NAC 65500 5
CH EXP 2022 SN CONIF THS_NAC 57700 5
CH EXP 2022 SN NCONIF THS_NAC 7800 5
CH EXP 2022 SN NC_TRO THS_NAC 100 5
CH EXP 2022 PN_VN TOTAL THS_NAC 4400 5
CH EXP 2022 PN_VN CONIF THS_NAC 1400 5
CH EXP 2022 PN_VN NCONIF THS_NAC 3000 5
CH EXP 2022 PN_VN NC_TRO THS_NAC 0 5
CH EXP 2022 PN TOTAL THS_NAC 251700 5
CH EXP 2022 PN_PY TOTAL THS_NAC 6900 5
CH EXP 2022 PN_PY CONIF THS_NAC 3700 5
CH EXP 2022 PN_PY NCONIF THS_NAC 3200 5
CH EXP 2022 PN_PY NC_TRO THS_NAC 0 5
CH EXP 2022 PN_PY_LVL TOTAL THS_NAC
CH EXP 2022 PN_PY_LVL CONIF THS_NAC
CH EXP 2022 PN_PY_LVL NCONIF THS_NAC
CH EXP 2022 PN_PY_LVL NC_TRO THS_NAC
CH EXP 2022 PN_PB TOTAL THS_NAC 90400 5
CH EXP 2022 PN_PB_OSB TOTAL THS_NAC 700 5
CH EXP 2022 PN_FB TOTAL THS_NAC 154400 5
CH EXP 2022 PN_FB_HB TOTAL THS_NAC 7800 5
CH EXP 2022 PN_FB_MDF TOTAL THS_NAC 146300 5
CH EXP 2022 PN_FB_O TOTAL THS_NAC 300 5
CH EXP 2022 PL TOTAL THS_NAC 500 5
CH EXP 2022 PL_MC_SCH TOTAL THS_NAC 0 5
CH EXP 2022 PL_CH TOTAL THS_NAC 300 5
CH EXP 2022 PL_CH_SA TOTAL THS_NAC 100 5
CH EXP 2022 PL_CH_SAB TOTAL THS_NAC 100 5
CH EXP 2022 PL_CH_SI TOTAL THS_NAC 200 5
CH EXP 2022 PL_DS TOTAL THS_NAC 200 5
CH EXP 2022 PLO TOTAL THS_NAC 5200 5
CH EXP 2022 PLO_NW TOTAL THS_NAC 1100 5
CH EXP 2022 PLO_RC TOTAL THS_NAC 4100 5
CH EXP 2022 RCP TOTAL THS_NAC 87400 5
CH EXP 2022 PP TOTAL THS_NAC 630200 5
CH EXP 2022 PP_GR TOTAL THS_NAC 264200 5
CH EXP 2022 PP_GR_NP TOTAL THS_NAC 121600 5
CH EXP 2022 PP_GR_MC TOTAL THS_NAC 400 5
CH EXP 2022 PP_GR_NW TOTAL THS_NAC 37700 5
CH EXP 2022 PP_GR_CO TOTAL THS_NAC 104500 5
CH EXP 2022 PP_HS TOTAL THS_NAC 24800 5
CH EXP 2022 PP_PK TOTAL THS_NAC 319600 5
CH EXP 2022 PP_PK_CS TOTAL THS_NAC 170000 5
CH EXP 2022 PP_PK_CB TOTAL THS_NAC 72600 5
CH EXP 2022 PP_PK_WR TOTAL THS_NAC 75500 5
CH EXP 2022 PP_PK_O TOTAL THS_NAC 1500 5
CH EXP 2022 PP_O TOTAL THS_NAC 21600 5
CH EXP 2022 GLT_CLT TOTAL THS_NAC
CH EXP 2022 GLT TOTAL THS_NAC
CH EXP 2022 CLT TOTAL THS_NAC
CH EXP 2022 I_BEAMS TOTAL THS_NAC
CH IMP_XEU 2021 RW TOTAL THS_M3
CH IMP_XEU 2021 RW_FW TOTAL THS_M3
CH IMP_XEU 2021 RW_FW CONIF THS_M3
CH IMP_XEU 2021 RW_FW NCONIF THS_M3
CH IMP_XEU 2021 RW_IN TOTAL THS_M3
CH IMP_XEU 2021 RW_IN CONIF THS_M3
CH IMP_XEU 2021 RW_IN NCONIF THS_M3
CH IMP_XEU 2021 RW_IN NC_TRO THS_M3
CH IMP_XEU 2021 CHA TOTAL THS_T
CH IMP_XEU 2021 CHP_RES TOTAL THS_M3
CH IMP_XEU 2021 CHP TOTAL THS_M3
CH IMP_XEU 2021 RES TOTAL THS_M3
CH IMP_XEU 2021 RES_SWD TOTAL THS_M3
CH IMP_XEU 2021 RCW TOTAL THS_T
CH IMP_XEU 2021 PEL_AGG TOTAL THS_T
CH IMP_XEU 2021 PEL TOTAL THS_T
CH IMP_XEU 2021 AGG TOTAL THS_T
CH IMP_XEU 2021 SN TOTAL THS_M3
CH IMP_XEU 2021 SN CONIF THS_M3
CH IMP_XEU 2021 SN NCONIF THS_M3
CH IMP_XEU 2021 SN NC_TRO THS_M3
CH IMP_XEU 2021 PN_VN TOTAL THS_M3
CH IMP_XEU 2021 PN_VN CONIF THS_M3
CH IMP_XEU 2021 PN_VN NCONIF THS_M3
CH IMP_XEU 2021 PN_VN NC_TRO THS_M3
CH IMP_XEU 2021 PN TOTAL THS_M3
CH IMP_XEU 2021 PN_PY TOTAL THS_M3
CH IMP_XEU 2021 PN_PY CONIF THS_M3
CH IMP_XEU 2021 PN_PY NCONIF THS_M3
CH IMP_XEU 2021 PN_PY NC_TRO THS_M3
CH IMP_XEU 2021 PN_PY_LVL TOTAL THS_M3
CH IMP_XEU 2021 PN_PY_LVL CONIF THS_M3
CH IMP_XEU 2021 PN_PY_LVL NCONIF THS_M3
CH IMP_XEU 2021 PN_PY_LVL NC_TRO THS_M3
CH IMP_XEU 2021 PN_PB TOTAL THS_M3
CH IMP_XEU 2021 PN_PB_OSB TOTAL THS_M3
CH IMP_XEU 2021 PN_FB TOTAL THS_M3
CH IMP_XEU 2021 PN_FB_HB TOTAL THS_M3
CH IMP_XEU 2021 PN_FB_MDF TOTAL THS_M3
CH IMP_XEU 2021 PN_FB_O TOTAL THS_M3
CH IMP_XEU 2021 PL TOTAL THS_T
CH IMP_XEU 2021 PL_MC_SCH TOTAL THS_T
CH IMP_XEU 2021 PL_CH TOTAL THS_T
CH IMP_XEU 2021 PL_CH_SA TOTAL THS_T
CH IMP_XEU 2021 PL_CH_SAB TOTAL THS_T
CH IMP_XEU 2021 PL_CH_SI TOTAL THS_T
CH IMP_XEU 2021 PL_DS TOTAL THS_T
CH IMP_XEU 2021 PLO TOTAL THS_T
CH IMP_XEU 2021 PLO_NW TOTAL THS_T
CH IMP_XEU 2021 PLO_RC TOTAL THS_T
CH IMP_XEU 2021 RCP TOTAL THS_T
CH IMP_XEU 2021 PP TOTAL THS_T
CH IMP_XEU 2021 PP_GR TOTAL THS_T
CH IMP_XEU 2021 PP_GR_NP TOTAL THS_T
CH IMP_XEU 2021 PP_GR_MC TOTAL THS_T
CH IMP_XEU 2021 PP_GR_NW TOTAL THS_T
CH IMP_XEU 2021 PP_GR_CO TOTAL THS_T
CH IMP_XEU 2021 PP_HS TOTAL THS_T
CH IMP_XEU 2021 PP_PK TOTAL THS_T
CH IMP_XEU 2021 PP_PK_CS TOTAL THS_T
CH IMP_XEU 2021 PP_PK_CB TOTAL THS_T
CH IMP_XEU 2021 PP_PK_WR TOTAL THS_T
CH IMP_XEU 2021 PP_PK_O TOTAL THS_T
CH IMP_XEU 2021 PP_O TOTAL THS_T
CH IMP_XEU 2021 GLT_CLT TOTAL THS_M3
CH IMP_XEU 2021 GLT TOTAL THS_M3
CH IMP_XEU 2021 CLT TOTAL THS_M3
CH IMP_XEU 2021 I_BEAMS TOTAL THS_T
CH IMP_XEU 2021 RW TOTAL THS_NAC
CH IMP_XEU 2021 RW_FW TOTAL THS_NAC
CH IMP_XEU 2021 RW_FW CONIF THS_NAC
CH IMP_XEU 2021 RW_FW NCONIF THS_NAC
CH IMP_XEU 2021 RW_IN TOTAL THS_NAC
CH IMP_XEU 2021 RW_IN CONIF THS_NAC
CH IMP_XEU 2021 RW_IN NCONIF THS_NAC
CH IMP_XEU 2021 RW_IN NC_TRO THS_NAC
CH IMP_XEU 2021 CHA TOTAL THS_NAC
CH IMP_XEU 2021 CHP_RES TOTAL THS_NAC
CH IMP_XEU 2021 CHP TOTAL THS_NAC
CH IMP_XEU 2021 RES TOTAL THS_NAC
CH IMP_XEU 2021 RES_SWD TOTAL THS_NAC
CH IMP_XEU 2021 RCW TOTAL THS_NAC
CH IMP_XEU 2021 PEL_AGG TOTAL THS_NAC
CH IMP_XEU 2021 PEL TOTAL THS_NAC
CH IMP_XEU 2021 AGG TOTAL THS_NAC
CH IMP_XEU 2021 SN TOTAL THS_NAC
CH IMP_XEU 2021 SN CONIF THS_NAC
CH IMP_XEU 2021 SN NCONIF THS_NAC
CH IMP_XEU 2021 SN NC_TRO THS_NAC
CH IMP_XEU 2021 PN_VN TOTAL THS_NAC
CH IMP_XEU 2021 PN_VN CONIF THS_NAC
CH IMP_XEU 2021 PN_VN NCONIF THS_NAC
CH IMP_XEU 2021 PN_VN NC_TRO THS_NAC
CH IMP_XEU 2021 PN TOTAL THS_NAC
CH IMP_XEU 2021 PN_PY TOTAL THS_NAC
CH IMP_XEU 2021 PN_PY CONIF THS_NAC
CH IMP_XEU 2021 PN_PY NCONIF THS_NAC
CH IMP_XEU 2021 PN_PY NC_TRO THS_NAC
CH IMP_XEU 2021 PN_PY_LVL TOTAL THS_NAC
CH IMP_XEU 2021 PN_PY_LVL CONIF THS_NAC
CH IMP_XEU 2021 PN_PY_LVL NCONIF THS_NAC
CH IMP_XEU 2021 PN_PY_LVL NC_TRO THS_NAC
CH IMP_XEU 2021 PN_PB TOTAL THS_NAC
CH IMP_XEU 2021 PN_PB_OSB TOTAL THS_NAC
CH IMP_XEU 2021 PN_FB TOTAL THS_NAC
CH IMP_XEU 2021 PN_FB_HB TOTAL THS_NAC
CH IMP_XEU 2021 PN_FB_MDF TOTAL THS_NAC
CH IMP_XEU 2021 PN_FB_O TOTAL THS_NAC
CH IMP_XEU 2021 PL TOTAL THS_NAC
CH IMP_XEU 2021 PL_MC_SCH TOTAL THS_NAC
CH IMP_XEU 2021 PL_CH TOTAL THS_NAC
CH IMP_XEU 2021 PL_CH_SA TOTAL THS_NAC
CH IMP_XEU 2021 PL_CH_SAB TOTAL THS_NAC
CH IMP_XEU 2021 PL_CH_SI TOTAL THS_NAC
CH IMP_XEU 2021 PL_DS TOTAL THS_NAC
CH IMP_XEU 2021 PLO TOTAL THS_NAC
CH IMP_XEU 2021 PLO_NW TOTAL THS_NAC
CH IMP_XEU 2021 PLO_RC TOTAL THS_NAC
CH IMP_XEU 2021 RCP TOTAL THS_NAC
CH IMP_XEU 2021 PP TOTAL THS_NAC
CH IMP_XEU 2021 PP_GR TOTAL THS_NAC
CH IMP_XEU 2021 PP_GR_NP TOTAL THS_NAC
CH IMP_XEU 2021 PP_GR_MC TOTAL THS_NAC
CH IMP_XEU 2021 PP_GR_NW TOTAL THS_NAC
CH IMP_XEU 2021 PP_GR_CO TOTAL THS_NAC
CH IMP_XEU 2021 PP_HS TOTAL THS_NAC
CH IMP_XEU 2021 PP_PK TOTAL THS_NAC
CH IMP_XEU 2021 PP_PK_CS TOTAL THS_NAC
CH IMP_XEU 2021 PP_PK_CB TOTAL THS_NAC
CH IMP_XEU 2021 PP_PK_WR TOTAL THS_NAC
CH IMP_XEU 2021 PP_PK_O TOTAL THS_NAC
CH IMP_XEU 2021 PP_O TOTAL THS_NAC
CH IMP_XEU 2021 GLT_CLT TOTAL THS_NAC
CH IMP_XEU 2021 GLT TOTAL THS_NAC
CH IMP_XEU 2021 CLT TOTAL THS_NAC
CH IMP_XEU 2021 I_BEAMS TOTAL THS_NAC
CH IMP_XEU 2022 RW TOTAL THS_M3
CH IMP_XEU 2022 RW_FW TOTAL THS_M3
CH IMP_XEU 2022 RW_FW CONIF THS_M3
CH IMP_XEU 2022 RW_FW NCONIF THS_M3
CH IMP_XEU 2022 RW_IN TOTAL THS_M3
CH IMP_XEU 2022 RW_IN CONIF THS_M3
CH IMP_XEU 2022 RW_IN NCONIF THS_M3
CH IMP_XEU 2022 RW_IN NC_TRO THS_M3
CH IMP_XEU 2022 CHA TOTAL THS_T
CH IMP_XEU 2022 CHP_RES TOTAL THS_M3
CH IMP_XEU 2022 CHP TOTAL THS_M3
CH IMP_XEU 2022 RES TOTAL THS_M3
CH IMP_XEU 2022 RES_SWD TOTAL THS_M3
CH IMP_XEU 2022 RCW TOTAL THS_T
CH IMP_XEU 2022 PEL_AGG TOTAL THS_T
CH IMP_XEU 2022 PEL TOTAL THS_T
CH IMP_XEU 2022 AGG TOTAL THS_T
CH IMP_XEU 2022 SN TOTAL THS_M3
CH IMP_XEU 2022 SN CONIF THS_M3
CH IMP_XEU 2022 SN NCONIF THS_M3
CH IMP_XEU 2022 SN NC_TRO THS_M3
CH IMP_XEU 2022 PN_VN TOTAL THS_M3
CH IMP_XEU 2022 PN_VN CONIF THS_M3
CH IMP_XEU 2022 PN_VN NCONIF THS_M3
CH IMP_XEU 2022 PN_VN NC_TRO THS_M3
CH IMP_XEU 2022 PN TOTAL THS_M3
CH IMP_XEU 2022 PN_PY TOTAL THS_M3
CH IMP_XEU 2022 PN_PY CONIF THS_M3
CH IMP_XEU 2022 PN_PY NCONIF THS_M3
CH IMP_XEU 2022 PN_PY NC_TRO THS_M3
CH IMP_XEU 2022 PN_PY_LVL TOTAL THS_M3
CH IMP_XEU 2022 PN_PY_LVL CONIF THS_M3
CH IMP_XEU 2022 PN_PY_LVL NCONIF THS_M3
CH IMP_XEU 2022 PN_PY_LVL NC_TRO THS_M3
CH IMP_XEU 2022 PN_PB TOTAL THS_M3
CH IMP_XEU 2022 PN_PB_OSB TOTAL THS_M3
CH IMP_XEU 2022 PN_FB TOTAL THS_M3
CH IMP_XEU 2022 PN_FB_HB TOTAL THS_M3
CH IMP_XEU 2022 PN_FB_MDF TOTAL THS_M3
CH IMP_XEU 2022 PN_FB_O TOTAL THS_M3
CH IMP_XEU 2022 PL TOTAL THS_T
CH IMP_XEU 2022 PL_MC_SCH TOTAL THS_T
CH IMP_XEU 2022 PL_CH TOTAL THS_T
CH IMP_XEU 2022 PL_CH_SA TOTAL THS_T
CH IMP_XEU 2022 PL_CH_SAB TOTAL THS_T
CH IMP_XEU 2022 PL_CH_SI TOTAL THS_T
CH IMP_XEU 2022 PL_DS TOTAL THS_T
CH IMP_XEU 2022 PLO TOTAL THS_T
CH IMP_XEU 2022 PLO_NW TOTAL THS_T
CH IMP_XEU 2022 PLO_RC TOTAL THS_T
CH IMP_XEU 2022 RCP TOTAL THS_T
CH IMP_XEU 2022 PP TOTAL THS_T
CH IMP_XEU 2022 PP_GR TOTAL THS_T
CH IMP_XEU 2022 PP_GR_NP TOTAL THS_T
CH IMP_XEU 2022 PP_GR_MC TOTAL THS_T
CH IMP_XEU 2022 PP_GR_NW TOTAL THS_T
CH IMP_XEU 2022 PP_GR_CO TOTAL THS_T
CH IMP_XEU 2022 PP_HS TOTAL THS_T
CH IMP_XEU 2022 PP_PK TOTAL THS_T
CH IMP_XEU 2022 PP_PK_CS TOTAL THS_T
CH IMP_XEU 2022 PP_PK_CB TOTAL THS_T
CH IMP_XEU 2022 PP_PK_WR TOTAL THS_T
CH IMP_XEU 2022 PP_PK_O TOTAL THS_T
CH IMP_XEU 2022 PP_O TOTAL THS_T
CH IMP_XEU 2022 GLT_CLT TOTAL THS_M3
CH IMP_XEU 2022 GLT TOTAL THS_M3
CH IMP_XEU 2022 CLT TOTAL THS_M3
CH IMP_XEU 2022 I_BEAMS TOTAL THS_T
CH IMP_XEU 2022 RW TOTAL THS_NAC
CH IMP_XEU 2022 RW_FW TOTAL THS_NAC
CH IMP_XEU 2022 RW_FW CONIF THS_NAC
CH IMP_XEU 2022 RW_FW NCONIF THS_NAC
CH IMP_XEU 2022 RW_IN TOTAL THS_NAC
CH IMP_XEU 2022 RW_IN CONIF THS_NAC
CH IMP_XEU 2022 RW_IN NCONIF THS_NAC
CH IMP_XEU 2022 RW_IN NC_TRO THS_NAC
CH IMP_XEU 2022 CHA TOTAL THS_NAC
CH IMP_XEU 2022 CHP_RES TOTAL THS_NAC
CH IMP_XEU 2022 CHP TOTAL THS_NAC
CH IMP_XEU 2022 RES TOTAL THS_NAC
CH IMP_XEU 2022 RES_SWD TOTAL THS_NAC
CH IMP_XEU 2022 RCW TOTAL THS_NAC
CH IMP_XEU 2022 PEL_AGG TOTAL THS_NAC
CH IMP_XEU 2022 PEL TOTAL THS_NAC
CH IMP_XEU 2022 AGG TOTAL THS_NAC
CH IMP_XEU 2022 SN TOTAL THS_NAC
CH IMP_XEU 2022 SN CONIF THS_NAC
CH IMP_XEU 2022 SN NCONIF THS_NAC
CH IMP_XEU 2022 SN NC_TRO THS_NAC
CH IMP_XEU 2022 PN_VN TOTAL THS_NAC
CH IMP_XEU 2022 PN_VN CONIF THS_NAC
CH IMP_XEU 2022 PN_VN NCONIF THS_NAC
CH IMP_XEU 2022 PN_VN NC_TRO THS_NAC
CH IMP_XEU 2022 PN TOTAL THS_NAC
CH IMP_XEU 2022 PN_PY TOTAL THS_NAC
CH IMP_XEU 2022 PN_PY CONIF THS_NAC
CH IMP_XEU 2022 PN_PY NCONIF THS_NAC
CH IMP_XEU 2022 PN_PY NC_TRO THS_NAC
CH IMP_XEU 2022 PN_PY_LVL TOTAL THS_NAC
CH IMP_XEU 2022 PN_PY_LVL CONIF THS_NAC
CH IMP_XEU 2022 PN_PY_LVL NCONIF THS_NAC
CH IMP_XEU 2022 PN_PY_LVL NC_TRO THS_NAC
CH IMP_XEU 2022 PN_PB TOTAL THS_NAC
CH IMP_XEU 2022 PN_PB_OSB TOTAL THS_NAC
CH IMP_XEU 2022 PN_FB TOTAL THS_NAC
CH IMP_XEU 2022 PN_FB_HB TOTAL THS_NAC
CH IMP_XEU 2022 PN_FB_MDF TOTAL THS_NAC
CH IMP_XEU 2022 PN_FB_O TOTAL THS_NAC
CH IMP_XEU 2022 PL TOTAL THS_NAC
CH IMP_XEU 2022 PL_MC_SCH TOTAL THS_NAC
CH IMP_XEU 2022 PL_CH TOTAL THS_NAC
CH IMP_XEU 2022 PL_CH_SA TOTAL THS_NAC
CH IMP_XEU 2022 PL_CH_SAB TOTAL THS_NAC
CH IMP_XEU 2022 PL_CH_SI TOTAL THS_NAC
CH IMP_XEU 2022 PL_DS TOTAL THS_NAC
CH IMP_XEU 2022 PLO TOTAL THS_NAC
CH IMP_XEU 2022 PLO_NW TOTAL THS_NAC
CH IMP_XEU 2022 PLO_RC TOTAL THS_NAC
CH IMP_XEU 2022 RCP TOTAL THS_NAC
CH IMP_XEU 2022 PP TOTAL THS_NAC
CH IMP_XEU 2022 PP_GR TOTAL THS_NAC
CH IMP_XEU 2022 PP_GR_NP TOTAL THS_NAC
CH IMP_XEU 2022 PP_GR_MC TOTAL THS_NAC
CH IMP_XEU 2022 PP_GR_NW TOTAL THS_NAC
CH IMP_XEU 2022 PP_GR_CO TOTAL THS_NAC
CH IMP_XEU 2022 PP_HS TOTAL THS_NAC
CH IMP_XEU 2022 PP_PK TOTAL THS_NAC
CH IMP_XEU 2022 PP_PK_CS TOTAL THS_NAC
CH IMP_XEU 2022 PP_PK_CB TOTAL THS_NAC
CH IMP_XEU 2022 PP_PK_WR TOTAL THS_NAC
CH IMP_XEU 2022 PP_PK_O TOTAL THS_NAC
CH IMP_XEU 2022 PP_O TOTAL THS_NAC
CH IMP_XEU 2022 GLT_CLT TOTAL THS_NAC
CH IMP_XEU 2022 GLT TOTAL THS_NAC
CH IMP_XEU 2022 CLT TOTAL THS_NAC
CH IMP_XEU 2022 I_BEAMS TOTAL THS_NAC
CH EXP_XEU 2021 RW TOTAL THS_M3
CH EXP_XEU 2021 RW_FW TOTAL THS_M3
CH EXP_XEU 2021 RW_FW CONIF THS_M3
CH EXP_XEU 2021 RW_FW NCONIF THS_M3
CH EXP_XEU 2021 RW_IN TOTAL THS_M3
CH EXP_XEU 2021 RW_IN CONIF THS_M3
CH EXP_XEU 2021 RW_IN NCONIF THS_M3
CH EXP_XEU 2021 RW_IN NC_TRO THS_M3
CH EXP_XEU 2021 CHA TOTAL THS_T
CH EXP_XEU 2021 CHP_RES TOTAL THS_M3
CH EXP_XEU 2021 CHP TOTAL THS_M3
CH EXP_XEU 2021 RES TOTAL THS_M3
CH EXP_XEU 2021 RES_SWD TOTAL THS_M3
CH EXP_XEU 2021 RCW TOTAL THS_T
CH EXP_XEU 2021 PEL_AGG TOTAL THS_T
CH EXP_XEU 2021 PEL TOTAL THS_T
CH EXP_XEU 2021 AGG TOTAL THS_T
CH EXP_XEU 2021 SN TOTAL THS_M3
CH EXP_XEU 2021 SN CONIF THS_M3
CH EXP_XEU 2021 SN NCONIF THS_M3
CH EXP_XEU 2021 SN NC_TRO THS_M3
CH EXP_XEU 2021 PN_VN TOTAL THS_M3
CH EXP_XEU 2021 PN_VN CONIF THS_M3
CH EXP_XEU 2021 PN_VN NCONIF THS_M3
CH EXP_XEU 2021 PN_VN NC_TRO THS_M3
CH EXP_XEU 2021 PN TOTAL THS_M3
CH EXP_XEU 2021 PN_PY TOTAL THS_M3
CH EXP_XEU 2021 PN_PY CONIF THS_M3
CH EXP_XEU 2021 PN_PY NCONIF THS_M3
CH EXP_XEU 2021 PN_PY NC_TRO THS_M3
CH EXP_XEU 2021 PN_PY_LVL TOTAL THS_M3
CH EXP_XEU 2021 PN_PY_LVL CONIF THS_M3
CH EXP_XEU 2021 PN_PY_LVL NCONIF THS_M3
CH EXP_XEU 2021 PN_PY_LVL NC_TRO THS_M3
CH EXP_XEU 2021 PN_PB TOTAL THS_M3
CH EXP_XEU 2021 PN_PB_OSB TOTAL THS_M3
CH EXP_XEU 2021 PN_FB TOTAL THS_M3
CH EXP_XEU 2021 PN_FB_HB TOTAL THS_M3
CH EXP_XEU 2021 PN_FB_MDF TOTAL THS_M3
CH EXP_XEU 2021 PN_FB_O TOTAL THS_M3
CH EXP_XEU 2021 PL TOTAL THS_T
CH EXP_XEU 2021 PL_MC_SCH TOTAL THS_T
CH EXP_XEU 2021 PL_CH TOTAL THS_T
CH EXP_XEU 2021 PL_CH_SA TOTAL THS_T
CH EXP_XEU 2021 PL_CH_SAB TOTAL THS_T
CH EXP_XEU 2021 PL_CH_SI TOTAL THS_T
CH EXP_XEU 2021 PL_DS TOTAL THS_T
CH EXP_XEU 2021 PLO TOTAL THS_T
CH EXP_XEU 2021 PLO_NW TOTAL THS_T
CH EXP_XEU 2021 PLO_RC TOTAL THS_T
CH EXP_XEU 2021 RCP TOTAL THS_T
CH EXP_XEU 2021 PP TOTAL THS_T
CH EXP_XEU 2021 PP_GR TOTAL THS_T
CH EXP_XEU 2021 PP_GR_NP TOTAL THS_T
CH EXP_XEU 2021 PP_GR_MC TOTAL THS_T
CH EXP_XEU 2021 PP_GR_NW TOTAL THS_T
CH EXP_XEU 2021 PP_GR_CO TOTAL THS_T
CH EXP_XEU 2021 PP_HS TOTAL THS_T
CH EXP_XEU 2021 PP_PK TOTAL THS_T
CH EXP_XEU 2021 PP_PK_CS TOTAL THS_T
CH EXP_XEU 2021 PP_PK_CB TOTAL THS_T
CH EXP_XEU 2021 PP_PK_WR TOTAL THS_T
CH EXP_XEU 2021 PP_PK_O TOTAL THS_T
CH EXP_XEU 2021 PP_O TOTAL THS_T
CH EXP_XEU 2021 GLT_CLT TOTAL THS_M3
CH EXP_XEU 2021 GLT TOTAL THS_M3
CH EXP_XEU 2021 CLT TOTAL THS_M3
CH EXP_XEU 2021 I_BEAMS TOTAL THS_T
CH EXP_XEU 2021 RW TOTAL THS_NAC
CH EXP_XEU 2021 RW_FW TOTAL THS_NAC
CH EXP_XEU 2021 RW_FW CONIF THS_NAC
CH EXP_XEU 2021 RW_FW NCONIF THS_NAC
CH EXP_XEU 2021 RW_IN TOTAL THS_NAC
CH EXP_XEU 2021 RW_IN CONIF THS_NAC
CH EXP_XEU 2021 RW_IN NCONIF THS_NAC
CH EXP_XEU 2021 RW_IN NC_TRO THS_NAC
CH EXP_XEU 2021 CHA TOTAL THS_NAC
CH EXP_XEU 2021 CHP_RES TOTAL THS_NAC
CH EXP_XEU 2021 CHP TOTAL THS_NAC
CH EXP_XEU 2021 RES TOTAL THS_NAC
CH EXP_XEU 2021 RES_SWD TOTAL THS_NAC
CH EXP_XEU 2021 RCW TOTAL THS_NAC
CH EXP_XEU 2021 PEL_AGG TOTAL THS_NAC
CH EXP_XEU 2021 PEL TOTAL THS_NAC
CH EXP_XEU 2021 AGG TOTAL THS_NAC
CH EXP_XEU 2021 SN TOTAL THS_NAC
CH EXP_XEU 2021 SN CONIF THS_NAC
CH EXP_XEU 2021 SN NCONIF THS_NAC
CH EXP_XEU 2021 SN NC_TRO THS_NAC
CH EXP_XEU 2021 PN_VN TOTAL THS_NAC
CH EXP_XEU 2021 PN_VN CONIF THS_NAC
CH EXP_XEU 2021 PN_VN NCONIF THS_NAC
CH EXP_XEU 2021 PN_VN NC_TRO THS_NAC
CH EXP_XEU 2021 PN TOTAL THS_NAC
CH EXP_XEU 2021 PN_PY TOTAL THS_NAC
CH EXP_XEU 2021 PN_PY CONIF THS_NAC
CH EXP_XEU 2021 PN_PY NCONIF THS_NAC
CH EXP_XEU 2021 PN_PY NC_TRO THS_NAC
CH EXP_XEU 2021 PN_PY_LVL TOTAL THS_NAC
CH EXP_XEU 2021 PN_PY_LVL CONIF THS_NAC
CH EXP_XEU 2021 PN_PY_LVL NCONIF THS_NAC
CH EXP_XEU 2021 PN_PY_LVL NC_TRO THS_NAC
CH EXP_XEU 2021 PN_PB TOTAL THS_NAC
CH EXP_XEU 2021 PN_PB_OSB TOTAL THS_NAC
CH EXP_XEU 2021 PN_FB TOTAL THS_NAC
CH EXP_XEU 2021 PN_FB_HB TOTAL THS_NAC
CH EXP_XEU 2021 PN_FB_MDF TOTAL THS_NAC
CH EXP_XEU 2021 PN_FB_O TOTAL THS_NAC
CH EXP_XEU 2021 PL TOTAL THS_NAC
CH EXP_XEU 2021 PL_MC_SCH TOTAL THS_NAC
CH EXP_XEU 2021 PL_CH TOTAL THS_NAC
CH EXP_XEU 2021 PL_CH_SA TOTAL THS_NAC
CH EXP_XEU 2021 PL_CH_SAB TOTAL THS_NAC
CH EXP_XEU 2021 PL_CH_SI TOTAL THS_NAC
CH EXP_XEU 2021 PL_DS TOTAL THS_NAC
CH EXP_XEU 2021 PLO TOTAL THS_NAC
CH EXP_XEU 2021 PLO_NW TOTAL THS_NAC
CH EXP_XEU 2021 PLO_RC TOTAL THS_NAC
CH EXP_XEU 2021 RCP TOTAL THS_NAC
CH EXP_XEU 2021 PP TOTAL THS_NAC
CH EXP_XEU 2021 PP_GR TOTAL THS_NAC
CH EXP_XEU 2021 PP_GR_NP TOTAL THS_NAC
CH EXP_XEU 2021 PP_GR_MC TOTAL THS_NAC
CH EXP_XEU 2021 PP_GR_NW TOTAL THS_NAC
CH EXP_XEU 2021 PP_GR_CO TOTAL THS_NAC
CH EXP_XEU 2021 PP_HS TOTAL THS_NAC
CH EXP_XEU 2021 PP_PK TOTAL THS_NAC
CH EXP_XEU 2021 PP_PK_CS TOTAL THS_NAC
CH EXP_XEU 2021 PP_PK_CB TOTAL THS_NAC
CH EXP_XEU 2021 PP_PK_WR TOTAL THS_NAC
CH EXP_XEU 2021 PP_PK_O TOTAL THS_NAC
CH EXP_XEU 2021 PP_O TOTAL THS_NAC
CH EXP_XEU 2021 GLT_CLT TOTAL THS_NAC
CH EXP_XEU 2021 GLT TOTAL THS_NAC
CH EXP_XEU 2021 CLT TOTAL THS_NAC
CH EXP_XEU 2021 I_BEAMS TOTAL THS_NAC
CH EXP_XEU 2022 RW TOTAL THS_M3
CH EXP_XEU 2022 RW_FW TOTAL THS_M3
CH EXP_XEU 2022 RW_FW CONIF THS_M3
CH EXP_XEU 2022 RW_FW NCONIF THS_M3
CH EXP_XEU 2022 RW_IN TOTAL THS_M3
CH EXP_XEU 2022 RW_IN CONIF THS_M3
CH EXP_XEU 2022 RW_IN NCONIF THS_M3
CH EXP_XEU 2022 RW_IN NC_TRO THS_M3
CH EXP_XEU 2022 CHA TOTAL THS_T
CH EXP_XEU 2022 CHP_RES TOTAL THS_M3
CH EXP_XEU 2022 CHP TOTAL THS_M3
CH EXP_XEU 2022 RES TOTAL THS_M3
CH EXP_XEU 2022 RES_SWD TOTAL THS_M3
CH EXP_XEU 2022 RCW TOTAL THS_T
CH EXP_XEU 2022 PEL_AGG TOTAL THS_T
CH EXP_XEU 2022 PEL TOTAL THS_T
CH EXP_XEU 2022 AGG TOTAL THS_T
CH EXP_XEU 2022 SN TOTAL THS_M3
CH EXP_XEU 2022 SN CONIF THS_M3
CH EXP_XEU 2022 SN NCONIF THS_M3
CH EXP_XEU 2022 SN NC_TRO THS_M3
CH EXP_XEU 2022 PN_VN TOTAL THS_M3
CH EXP_XEU 2022 PN_VN CONIF THS_M3
CH EXP_XEU 2022 PN_VN NCONIF THS_M3
CH EXP_XEU 2022 PN_VN NC_TRO THS_M3
CH EXP_XEU 2022 PN TOTAL THS_M3
CH EXP_XEU 2022 PN_PY TOTAL THS_M3
CH EXP_XEU 2022 PN_PY CONIF THS_M3
CH EXP_XEU 2022 PN_PY NCONIF THS_M3
CH EXP_XEU 2022 PN_PY NC_TRO THS_M3
CH EXP_XEU 2022 PN_PY_LVL TOTAL THS_M3
CH EXP_XEU 2022 PN_PY_LVL CONIF THS_M3
CH EXP_XEU 2022 PN_PY_LVL NCONIF THS_M3
CH EXP_XEU 2022 PN_PY_LVL NC_TRO THS_M3
CH EXP_XEU 2022 PN_PB TOTAL THS_M3
CH EXP_XEU 2022 PN_PB_OSB TOTAL THS_M3
CH EXP_XEU 2022 PN_FB TOTAL THS_M3
CH EXP_XEU 2022 PN_FB_HB TOTAL THS_M3
CH EXP_XEU 2022 PN_FB_MDF TOTAL THS_M3
CH EXP_XEU 2022 PN_FB_O TOTAL THS_M3
CH EXP_XEU 2022 PL TOTAL THS_T
CH EXP_XEU 2022 PL_MC_SCH TOTAL THS_T
CH EXP_XEU 2022 PL_CH TOTAL THS_T
CH EXP_XEU 2022 PL_CH_SA TOTAL THS_T
CH EXP_XEU 2022 PL_CH_SAB TOTAL THS_T
CH EXP_XEU 2022 PL_CH_SI TOTAL THS_T
CH EXP_XEU 2022 PL_DS TOTAL THS_T
CH EXP_XEU 2022 PLO TOTAL THS_T
CH EXP_XEU 2022 PLO_NW TOTAL THS_T
CH EXP_XEU 2022 PLO_RC TOTAL THS_T
CH EXP_XEU 2022 RCP TOTAL THS_T
CH EXP_XEU 2022 PP TOTAL THS_T
CH EXP_XEU 2022 PP_GR TOTAL THS_T
CH EXP_XEU 2022 PP_GR_NP TOTAL THS_T
CH EXP_XEU 2022 PP_GR_MC TOTAL THS_T
CH EXP_XEU 2022 PP_GR_NW TOTAL THS_T
CH EXP_XEU 2022 PP_GR_CO TOTAL THS_T
CH EXP_XEU 2022 PP_HS TOTAL THS_T
CH EXP_XEU 2022 PP_PK TOTAL THS_T
CH EXP_XEU 2022 PP_PK_CS TOTAL THS_T
CH EXP_XEU 2022 PP_PK_CB TOTAL THS_T
CH EXP_XEU 2022 PP_PK_WR TOTAL THS_T
CH EXP_XEU 2022 PP_PK_O TOTAL THS_T
CH EXP_XEU 2022 PP_O TOTAL THS_T
CH EXP_XEU 2022 GLT_CLT TOTAL THS_M3
CH EXP_XEU 2022 GLT TOTAL THS_M3
CH EXP_XEU 2022 CLT TOTAL THS_M3
CH EXP_XEU 2022 I_BEAMS TOTAL THS_T
CH EXP_XEU 2022 RW TOTAL THS_NAC
CH EXP_XEU 2022 RW_FW TOTAL THS_NAC
CH EXP_XEU 2022 RW_FW CONIF THS_NAC
CH EXP_XEU 2022 RW_FW NCONIF THS_NAC
CH EXP_XEU 2022 RW_IN TOTAL THS_NAC
CH EXP_XEU 2022 RW_IN CONIF THS_NAC
CH EXP_XEU 2022 RW_IN NCONIF THS_NAC
CH EXP_XEU 2022 RW_IN NC_TRO THS_NAC
CH EXP_XEU 2022 CHA TOTAL THS_NAC
CH EXP_XEU 2022 CHP_RES TOTAL THS_NAC
CH EXP_XEU 2022 CHP TOTAL THS_NAC
CH EXP_XEU 2022 RES TOTAL THS_NAC
CH EXP_XEU 2022 RES_SWD TOTAL THS_NAC
CH EXP_XEU 2022 RCW TOTAL THS_NAC
CH EXP_XEU 2022 PEL_AGG TOTAL THS_NAC
CH EXP_XEU 2022 PEL TOTAL THS_NAC
CH EXP_XEU 2022 AGG TOTAL THS_NAC
CH EXP_XEU 2022 SN TOTAL THS_NAC
CH EXP_XEU 2022 SN CONIF THS_NAC
CH EXP_XEU 2022 SN NCONIF THS_NAC
CH EXP_XEU 2022 SN NC_TRO THS_NAC
CH EXP_XEU 2022 PN_VN TOTAL THS_NAC
CH EXP_XEU 2022 PN_VN CONIF THS_NAC
CH EXP_XEU 2022 PN_VN NCONIF THS_NAC
CH EXP_XEU 2022 PN_VN NC_TRO THS_NAC
CH EXP_XEU 2022 PN TOTAL THS_NAC
CH EXP_XEU 2022 PN_PY TOTAL THS_NAC
CH EXP_XEU 2022 PN_PY CONIF THS_NAC
CH EXP_XEU 2022 PN_PY NCONIF THS_NAC
CH EXP_XEU 2022 PN_PY NC_TRO THS_NAC
CH EXP_XEU 2022 PN_PY_LVL TOTAL THS_NAC
CH EXP_XEU 2022 PN_PY_LVL CONIF THS_NAC
CH EXP_XEU 2022 PN_PY_LVL NCONIF THS_NAC
CH EXP_XEU 2022 PN_PY_LVL NC_TRO THS_NAC
CH EXP_XEU 2022 PN_PB TOTAL THS_NAC
CH EXP_XEU 2022 PN_PB_OSB TOTAL THS_NAC
CH EXP_XEU 2022 PN_FB TOTAL THS_NAC
CH EXP_XEU 2022 PN_FB_HB TOTAL THS_NAC
CH EXP_XEU 2022 PN_FB_MDF TOTAL THS_NAC
CH EXP_XEU 2022 PN_FB_O TOTAL THS_NAC
CH EXP_XEU 2022 PL TOTAL THS_NAC
CH EXP_XEU 2022 PL_MC_SCH TOTAL THS_NAC
CH EXP_XEU 2022 PL_CH TOTAL THS_NAC
CH EXP_XEU 2022 PL_CH_SA TOTAL THS_NAC
CH EXP_XEU 2022 PL_CH_SAB TOTAL THS_NAC
CH EXP_XEU 2022 PL_CH_SI TOTAL THS_NAC
CH EXP_XEU 2022 PL_DS TOTAL THS_NAC
CH EXP_XEU 2022 PLO TOTAL THS_NAC
CH EXP_XEU 2022 PLO_NW TOTAL THS_NAC
CH EXP_XEU 2022 PLO_RC TOTAL THS_NAC
CH EXP_XEU 2022 RCP TOTAL THS_NAC
CH EXP_XEU 2022 PP TOTAL THS_NAC
CH EXP_XEU 2022 PP_GR TOTAL THS_NAC
CH EXP_XEU 2022 PP_GR_NP TOTAL THS_NAC
CH EXP_XEU 2022 PP_GR_MC TOTAL THS_NAC
CH EXP_XEU 2022 PP_GR_NW TOTAL THS_NAC
CH EXP_XEU 2022 PP_GR_CO TOTAL THS_NAC
CH EXP_XEU 2022 PP_HS TOTAL THS_NAC
CH EXP_XEU 2022 PP_PK TOTAL THS_NAC
CH EXP_XEU 2022 PP_PK_CS TOTAL THS_NAC
CH EXP_XEU 2022 PP_PK_CB TOTAL THS_NAC
CH EXP_XEU 2022 PP_PK_WR TOTAL THS_NAC
CH EXP_XEU 2022 PP_PK_O TOTAL THS_NAC
CH EXP_XEU 2022 PP_O TOTAL THS_NAC
CH EXP_XEU 2022 GLT_CLT TOTAL THS_NAC
CH EXP_XEU 2022 GLT TOTAL THS_NAC
CH EXP_XEU 2022 CLT TOTAL THS_NAC
CH EXP_XEU 2022 I_BEAMS TOTAL THS_NAC
CH IMP 2021 SW TOTAL THS_NAC 3435890
CH IMP 2021 SW_SN TOTAL THS_NAC 157596
CH IMP 2021 SW_SN CONIF THS_NAC 73777
CH IMP 2021 SW_SN NCONIF THS_NAC 83819
CH IMP 2021 SW_SN NC_TRO THS_NAC 79408
CH IMP 2021 SW_WR TOTAL THS_NAC 138698
CH IMP 2021 SW_DM TOTAL THS_NAC 89932
CH IMP 2021 SW_JN TOTAL THS_NAC 560127
CH IMP 2021 SW_FU TOTAL THS_NAC 2244451
CH IMP 2021 SW_BL_W TOTAL THS_NAC 86613
CH IMP 2021 SW_O TOTAL THS_NAC 158473
CH IMP 2021 SP TOTAL THS_NAC 1421848
CH IMP 2021 SP_CM TOTAL THS_NAC 6819
CH IMP 2021 SP_SCO TOTAL THS_NAC 107187
CH IMP 2021 SP_HS TOTAL THS_NAC 243146
CH IMP 2021 SP_PK TOTAL THS_NAC 743592
CH IMP 2021 SP_O TOTAL THS_NAC 321104
CH IMP 2021 SP_O_PR TOTAL THS_NAC 65914
CH IMP 2021 SP_O_AR TOTAL THS_NAC 16146
CH IMP 2021 SP_O_FL TOTAL THS_NAC 3461
CH IMP 2022 SW TOTAL THS_NAC 3395970
CH IMP 2022 SW_SN TOTAL THS_NAC 157515
CH IMP 2022 SW_SN CONIF THS_NAC 62363
CH IMP 2022 SW_SN NCONIF THS_NAC 95152
CH IMP 2022 SW_SN NC_TRO THS_NAC 91027
CH IMP 2022 SW_WR TOTAL THS_NAC 159166
CH IMP 2022 SW_DM TOTAL THS_NAC 110869
CH IMP 2022 SW_JN TOTAL THS_NAC 682981
CH IMP 2022 SW_FU TOTAL THS_NAC 2029191
CH IMP 2022 SW_BL_W TOTAL THS_NAC 91962
CH IMP 2022 SW_O TOTAL THS_NAC 164286
CH IMP 2022 SP TOTAL THS_NAC 1629054
CH IMP 2022 SP_CM TOTAL THS_NAC 7731
CH IMP 2022 SP_SCO TOTAL THS_NAC 121149
CH IMP 2022 SP_HS TOTAL THS_NAC 316454
CH IMP 2022 SP_PK TOTAL THS_NAC 817760
CH IMP 2022 SP_O TOTAL THS_NAC 365960
CH IMP 2022 SP_O_PR TOTAL THS_NAC 71433
CH IMP 2022 SP_O_AR TOTAL THS_NAC 20366
CH IMP 2022 SP_O_FL TOTAL THS_NAC 3314
CH EXP 2021 SW TOTAL THS_NAC 525580
CH EXP 2021 SW_SN TOTAL THS_NAC 2140
CH EXP 2021 SW_SN CONIF THS_NAC 1226
CH EXP 2021 SW_SN NCONIF THS_NAC 914
CH EXP 2021 SW_SN NC_TRO THS_NAC 821
CH EXP 2021 SW_WR TOTAL THS_NAC 27895
CH EXP 2021 SW_DM TOTAL THS_NAC 36430
CH EXP 2021 SW_JN TOTAL THS_NAC 98413
CH EXP 2021 SW_FU TOTAL THS_NAC 321724
CH EXP 2021 SW_BL_W TOTAL THS_NAC 21947
CH EXP 2021 SW_O TOTAL THS_NAC 17031
CH EXP 2021 SP TOTAL THS_NAC 342677
CH EXP 2021 SP_CM TOTAL THS_NAC 27406
CH EXP 2021 SP_SCO TOTAL THS_NAC 32755
CH EXP 2021 SP_HS TOTAL THS_NAC 47856
CH EXP 2021 SP_PK TOTAL THS_NAC 169190
CH EXP 2021 SP_O TOTAL THS_NAC 65470
CH EXP 2021 SP_O_PR TOTAL THS_NAC 8120
CH EXP 2021 SP_O_AR TOTAL THS_NAC 1917
CH EXP 2021 SP_O_FL TOTAL THS_NAC 490
CH EXP 2022 SW TOTAL THS_NAC 393508
CH EXP 2022 SW_SN TOTAL THS_NAC 1955
CH EXP 2022 SW_SN CONIF THS_NAC 846
CH EXP 2022 SW_SN NCONIF THS_NAC 1109
CH EXP 2022 SW_SN NC_TRO THS_NAC 1053
CH EXP 2022 SW_WR TOTAL THS_NAC 32796
CH EXP 2022 SW_DM TOTAL THS_NAC 35844
CH EXP 2022 SW_JN TOTAL THS_NAC 68078
CH EXP 2022 SW_FU TOTAL THS_NAC 200895
CH EXP 2022 SW_BL_W TOTAL THS_NAC 33877
CH EXP 2022 SW_O TOTAL THS_NAC 20063
CH EXP 2022 SP TOTAL THS_NAC 357850
CH EXP 2022 SP_CM TOTAL THS_NAC 27640
CH EXP 2022 SP_SCO TOTAL THS_NAC 40325
CH EXP 2022 SP_HS TOTAL THS_NAC 35737
CH EXP 2022 SP_PK TOTAL THS_NAC 177249
CH EXP 2022 SP_O TOTAL THS_NAC 76899
CH EXP 2022 SP_O_PR TOTAL THS_NAC 8697
CH EXP 2022 SP_O_AR TOTAL THS_NAC 2436
CH EXP 2022 SP_O_FL TOTAL THS_NAC 635
CH IMP 2021 ST_1_2 CONIF THS_M3
CH IMP 2021 ST_1_2 C_PIN THS_M3
CH IMP 2021 ST_1_2_1 C_PIN THS_M3
CH IMP 2021 ST_1_2_2 C_PIN THS_M3
CH IMP 2021 ST_1_2 C_FIR THS_M3
CH IMP 2021 ST_1_2_1 C_FIR THS_M3
CH IMP 2021 ST_1_2_2 C_FIR THS_M3
CH IMP 2021 ST_1_2 NCONIF THS_M3
CH IMP 2021 ST_1_2 NC_OAK THS_M3
CH IMP 2021 ST_1_2 NC_BEE THS_M3
CH IMP 2021 ST_1_2 NC_BIR THS_M3
CH IMP 2021 ST_1_2_1 NC_BIR THS_M3
CH IMP 2021 ST_1_2_2 NC_BIR THS_M3
CH IMP 2021 ST_1_2 NC_POP THS_M3
CH IMP 2021 ST_1_2 NC_EUC THS_M3
CH IMP 2021 ST_6 CONIF THS_M3
CH IMP 2021 ST_6 C_PIN THS_M3
CH IMP 2021 ST_6 C_FIR THS_M3
CH IMP 2021 ST_6 NCONIF THS_M3
CH IMP 2021 ST_6 NC_OAK THS_M3
CH IMP 2021 ST_6 NC_BEE THS_M3
CH IMP 2021 ST_6 NC_MAP THS_M3
CH IMP 2021 ST_6 NC_CHE THS_M3
CH IMP 2021 ST_6 NC_ASH THS_M3
CH IMP 2021 ST_6 NC_BIR THS_M3
CH IMP 2021 ST_6 NC_POP THS_M3
CH IMP 2021 ST_1_2 CONIF THS_NAC
CH IMP 2021 ST_1_2 C_PIN THS_NAC
CH IMP 2021 ST_1_2_1 C_PIN THS_NAC
CH IMP 2021 ST_1_2_2 C_PIN THS_NAC
CH IMP 2021 ST_1_2 C_FIR THS_NAC
CH IMP 2021 ST_1_2_1 C_FIR THS_NAC
CH IMP 2021 ST_1_2_2 C_FIR THS_NAC
CH IMP 2021 ST_1_2 NCONIF THS_NAC
CH IMP 2021 ST_1_2 NC_OAK THS_NAC
CH IMP 2021 ST_1_2 NC_BEE THS_NAC
CH IMP 2021 ST_1_2 NC_BIR THS_NAC
CH IMP 2021 ST_1_2_1 NC_BIR THS_NAC
CH IMP 2021 ST_1_2_2 NC_BIR THS_NAC
CH IMP 2021 ST_1_2 NC_POP THS_NAC
CH IMP 2021 ST_1_2 NC_EUC THS_NAC
CH IMP 2021 ST_6 CONIF THS_NAC
CH IMP 2021 ST_6 C_PIN THS_NAC
CH IMP 2021 ST_6 C_FIR THS_NAC
CH IMP 2021 ST_6 NCONIF THS_NAC
CH IMP 2021 ST_6 NC_OAK THS_NAC
CH IMP 2021 ST_6 NC_BEE THS_NAC
CH IMP 2021 ST_6 NC_MAP THS_NAC
CH IMP 2021 ST_6 NC_CHE THS_NAC
CH IMP 2021 ST_6 NC_ASH THS_NAC
CH IMP 2021 ST_6 NC_BIR THS_NAC
CH IMP 2021 ST_6 NC_POP THS_NAC
CH IMP 2022 ST_1_2 CONIF THS_M3
CH IMP 2022 ST_1_2 C_PIN THS_M3
CH IMP 2022 ST_1_2_1 C_PIN THS_M3
CH IMP 2022 ST_1_2_2 C_PIN THS_M3
CH IMP 2022 ST_1_2 C_FIR THS_M3
CH IMP 2022 ST_1_2_1 C_FIR THS_M3
CH IMP 2022 ST_1_2_2 C_FIR THS_M3
CH IMP 2022 ST_1_2 NCONIF THS_M3
CH IMP 2022 ST_1_2 NC_OAK THS_M3
CH IMP 2022 ST_1_2 NC_BEE THS_M3
CH IMP 2022 ST_1_2 NC_BIR THS_M3
CH IMP 2022 ST_1_2_1 NC_BIR THS_M3
CH IMP 2022 ST_1_2_2 NC_BIR THS_M3
CH IMP 2022 ST_1_2 NC_POP THS_M3
CH IMP 2022 ST_1_2 NC_EUC THS_M3
CH IMP 2022 ST_6 CONIF THS_M3
CH IMP 2022 ST_6 C_PIN THS_M3
CH IMP 2022 ST_6 C_FIR THS_M3
CH IMP 2022 ST_6 NCONIF THS_M3
CH IMP 2022 ST_6 NC_OAK THS_M3
CH IMP 2022 ST_6 NC_BEE THS_M3
CH IMP 2022 ST_6 NC_MAP THS_M3
CH IMP 2022 ST_6 NC_CHE THS_M3
CH IMP 2022 ST_6 NC_ASH THS_M3
CH IMP 2022 ST_6 NC_BIR THS_M3
CH IMP 2022 ST_6 NC_POP THS_M3
CH IMP 2022 ST_1_2 CONIF THS_NAC
CH IMP 2022 ST_1_2 C_PIN THS_NAC
CH IMP 2022 ST_1_2_1 C_PIN THS_NAC
CH IMP 2022 ST_1_2_2 C_PIN THS_NAC
CH IMP 2022 ST_1_2 C_FIR THS_NAC
CH IMP 2022 ST_1_2_1 C_FIR THS_NAC
CH IMP 2022 ST_1_2_2 C_FIR THS_NAC
CH IMP 2022 ST_1_2 NCONIF THS_NAC
CH IMP 2022 ST_1_2 NC_OAK THS_NAC
CH IMP 2022 ST_1_2 NC_BEE THS_NAC
CH IMP 2022 ST_1_2 NC_BIR THS_NAC
CH IMP 2022 ST_1_2_1 NC_BIR THS_NAC
CH IMP 2022 ST_1_2_2 NC_BIR THS_NAC
CH IMP 2022 ST_1_2 NC_POP THS_NAC
CH IMP 2022 ST_1_2 NC_EUC THS_NAC
CH IMP 2022 ST_6 CONIF THS_NAC
CH IMP 2022 ST_6 C_PIN THS_NAC
CH IMP 2022 ST_6 C_FIR THS_NAC
CH IMP 2022 ST_6 NCONIF THS_NAC
CH IMP 2022 ST_6 NC_OAK THS_NAC
CH IMP 2022 ST_6 NC_BEE THS_NAC
CH IMP 2022 ST_6 NC_MAP THS_NAC
CH IMP 2022 ST_6 NC_CHE THS_NAC
CH IMP 2022 ST_6 NC_ASH THS_NAC
CH IMP 2022 ST_6 NC_BIR THS_NAC
CH IMP 2022 ST_6 NC_POP THS_NAC
CH EXP 2021 ST_1_2 CONIF THS_M3
CH EXP 2021 ST_1_2 C_PIN THS_M3
CH EXP 2021 ST_1_2_1 C_PIN THS_M3
CH EXP 2021 ST_1_2_2 C_PIN THS_M3
CH EXP 2021 ST_1_2 C_FIR THS_M3
CH EXP 2021 ST_1_2_1 C_FIR THS_M3
CH EXP 2021 ST_1_2_2 C_FIR THS_M3
CH EXP 2021 ST_1_2 NCONIF THS_M3
CH EXP 2021 ST_1_2 NC_OAK THS_M3
CH EXP 2021 ST_1_2 NC_BEE THS_M3
CH EXP 2021 ST_1_2 NC_BIR THS_M3
CH EXP 2021 ST_1_2_1 NC_BIR THS_M3
CH EXP 2021 ST_1_2_2 NC_BIR THS_M3
CH EXP 2021 ST_1_2 NC_POP THS_M3
CH EXP 2021 ST_1_2 NC_EUC THS_M3
CH EXP 2021 ST_6 CONIF THS_M3
CH EXP 2021 ST_6 C_PIN THS_M3
CH EXP 2021 ST_6 C_FIR THS_M3
CH EXP 2021 ST_6 NCONIF THS_M3
CH EXP 2021 ST_6 NC_OAK THS_M3
CH EXP 2021 ST_6 NC_BEE THS_M3
CH EXP 2021 ST_6 NC_MAP THS_M3
CH EXP 2021 ST_6 NC_CHE THS_M3
CH EXP 2021 ST_6 NC_ASH THS_M3
CH EXP 2021 ST_6 NC_BIR THS_M3
CH EXP 2021 ST_6 NC_POP THS_M3
CH EXP 2021 ST_1_2 CONIF THS_NAC
CH EXP 2021 ST_1_2 C_PIN THS_NAC
CH EXP 2021 ST_1_2_1 C_PIN THS_NAC
CH EXP 2021 ST_1_2_2 C_PIN THS_NAC
CH EXP 2021 ST_1_2 C_FIR THS_NAC
CH EXP 2021 ST_1_2_1 C_FIR THS_NAC
CH EXP 2021 ST_1_2_2 C_FIR THS_NAC
CH EXP 2021 ST_1_2 NCONIF THS_NAC
CH EXP 2021 ST_1_2 NC_OAK THS_NAC
CH EXP 2021 ST_1_2 NC_BEE THS_NAC
CH EXP 2021 ST_1_2 NC_BIR THS_NAC
CH EXP 2021 ST_1_2_1 NC_BIR THS_NAC
CH EXP 2021 ST_1_2_2 NC_BIR THS_NAC
CH EXP 2021 ST_1_2 NC_POP THS_NAC
CH EXP 2021 ST_1_2 NC_EUC THS_NAC
CH EXP 2021 ST_6 CONIF THS_NAC
CH EXP 2021 ST_6 C_PIN THS_NAC
CH EXP 2021 ST_6 C_FIR THS_NAC
CH EXP 2021 ST_6 NCONIF THS_NAC
CH EXP 2021 ST_6 NC_OAK THS_NAC
CH EXP 2021 ST_6 NC_BEE THS_NAC
CH EXP 2021 ST_6 NC_MAP THS_NAC
CH EXP 2021 ST_6 NC_CHE THS_NAC
CH EXP 2021 ST_6 NC_ASH THS_NAC
CH EXP 2021 ST_6 NC_BIR THS_NAC
CH EXP 2021 ST_6 NC_POP THS_NAC
CH EXP 2022 ST_1_2 CONIF THS_M3
CH EXP 2022 ST_1_2 C_PIN THS_M3
CH EXP 2022 ST_1_2_1 C_PIN THS_M3
CH EXP 2022 ST_1_2_2 C_PIN THS_M3
CH EXP 2022 ST_1_2 C_FIR THS_M3
CH EXP 2022 ST_1_2_1 C_FIR THS_M3
CH EXP 2022 ST_1_2_2 C_FIR THS_M3
CH EXP 2022 ST_1_2 NCONIF THS_M3
CH EXP 2022 ST_1_2 NC_OAK THS_M3
CH EXP 2022 ST_1_2 NC_BEE THS_M3
CH EXP 2022 ST_1_2 NC_BIR THS_M3
CH EXP 2022 ST_1_2_1 NC_BIR THS_M3
CH EXP 2022 ST_1_2_2 NC_BIR THS_M3
CH EXP 2022 ST_1_2 NC_POP THS_M3
CH EXP 2022 ST_1_2 NC_EUC THS_M3
CH EXP 2022 ST_6 CONIF THS_M3
CH EXP 2022 ST_6 C_PIN THS_M3
CH EXP 2022 ST_6 C_FIR THS_M3
CH EXP 2022 ST_6 NCONIF THS_M3
CH EXP 2022 ST_6 NC_OAK THS_M3
CH EXP 2022 ST_6 NC_BEE THS_M3
CH EXP 2022 ST_6 NC_MAP THS_M3
CH EXP 2022 ST_6 NC_CHE THS_M3
CH EXP 2022 ST_6 NC_ASH THS_M3
CH EXP 2022 ST_6 NC_BIR THS_M3
CH EXP 2022 ST_6 NC_POP THS_M3
CH EXP 2022 ST_1_2 CONIF THS_NAC
CH EXP 2022 ST_1_2 C_PIN THS_NAC
CH EXP 2022 ST_1_2_1 C_PIN THS_NAC
CH EXP 2022 ST_1_2_2 C_PIN THS_NAC
CH EXP 2022 ST_1_2 C_FIR THS_NAC
CH EXP 2022 ST_1_2_1 C_FIR THS_NAC
CH EXP 2022 ST_1_2_2 C_FIR THS_NAC
CH EXP 2022 ST_1_2 NCONIF THS_NAC
CH EXP 2022 ST_1_2 NC_OAK THS_NAC
CH EXP 2022 ST_1_2 NC_BEE THS_NAC
CH EXP 2022 ST_1_2 NC_BIR THS_NAC
CH EXP 2022 ST_1_2_1 NC_BIR THS_NAC
CH EXP 2022 ST_1_2_2 NC_BIR THS_NAC
CH EXP 2022 ST_1_2 NC_POP THS_NAC
CH EXP 2022 ST_1_2 NC_EUC THS_NAC
CH EXP 2022 ST_6 CONIF THS_NAC
CH EXP 2022 ST_6 C_PIN THS_NAC
CH EXP 2022 ST_6 C_FIR THS_NAC
CH EXP 2022 ST_6 NCONIF THS_NAC
CH EXP 2022 ST_6 NC_OAK THS_NAC
CH EXP 2022 ST_6 NC_BEE THS_NAC
CH EXP 2022 ST_6 NC_MAP THS_NAC
CH EXP 2022 ST_6 NC_CHE THS_NAC
CH EXP 2022 ST_6 NC_ASH THS_NAC
CH EXP 2022 ST_6 NC_BIR THS_NAC
CH EXP 2022 ST_6 NC_POP THS_NAC
CH PRD 2021 EU2_1 TOTAL THS_M3 4769.55
CH PRD 2021 EU2_1 CONIF THS_M3 3325.63
CH PRD 2021 EU2_1 NCONIF THS_M3 1443.92
CH PRD 2021 EU2_1_1 TOTAL THS_M3 300.79
CH PRD 2021 EU2_1_1 CONIF THS_M3 194.09
CH PRD 2021 EU2_1_1 NCONIF THS_M3 106.7
CH PRD 2021 EU2_1_2 TOTAL THS_M3 2773.38
CH PRD 2021 EU2_1_2 CONIF THS_M3 1899.52
CH PRD 2021 EU2_1_2 NCONIF THS_M3 873.86
CH PRD 2021 EU2_1_3 TOTAL THS_M3 1695.38
CH PRD 2021 EU2_1_3 CONIF THS_M3 1232.02
CH PRD 2021 EU2_1_3 NCONIF THS_M3 463.36
CH PRD 2022 EU2_1 TOTAL THS_M3 4945.06
CH PRD 2022 EU2_1 CONIF THS_M3 3345.54
CH PRD 2022 EU2_1 NCONIF THS_M3 1599.52
CH PRD 2022 EU2_1_1 TOTAL THS_M3 304.57
CH PRD 2022 EU2_1_1 CONIF THS_M3 183.45
CH PRD 2022 EU2_1_1 NCONIF THS_M3 121.12
CH PRD 2022 EU2_1_2 TOTAL THS_M3 2741.19
CH PRD 2022 EU2_1_2 CONIF THS_M3 1816.93
CH PRD 2022 EU2_1_2 NCONIF THS_M3 924.26
CH PRD 2022 EU2_1_3 TOTAL THS_M3 1899.3
CH PRD 2022 EU2_1_3 CONIF THS_M3 1345.16
CH PRD 2022 EU2_1_3 NCONIF THS_M3 554.14

Data availability on SDG poverty indicators in Eastern Europe, Caucasus and Central Asia, Patrick Hernusi and Jonathan Gessendorfer (UNECE)

Review on SDG data availability on poverty indicators

• 12 countries of Eastern Europe, Caucasus and Central Asia: Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Republic of Moldova, Russian Federation,Tajikistan, Turkmenistan, Ukraine, Uzbekistan
• SDG Indicators: 1.1.1, 1.2.1, 1.2.2, 1.3.1, 1.4.1, 10.1.1, 10.2.1
• Availability by various disaggregation
• Data coverage and latest available period
• Review based on data reported to Global SDG Database (as of 15 November 2023)

Languages and translations
English

S TAT I S T I C S

Data availability on SDG Poverty

indicators in Eastern

Europe, Caucasus and Central Asia

Patrick Hernusi

UNECE Statistical Division

Workshop on Harmonization of Poverty Statistics to Measure SDG 1 and

10

Geneva, 27 November 2023

STATISTICS

The review

2

• 12 countries of Eastern Europe, Caucasus and Central Asia

• Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan,

Kyrgyzstan, Republic of Moldova, Russian Federation,

Tajikistan, Turkmenistan, Ukraine, Uzbekistan

• SDG Indicators: 1.1.1, 1.2.1, 1.2.2, 1.3.1, 1.4.1, 10.1.1, 10.2.1

• Availability by various disaggregation

• Data coverage and latest available period

• Review based on data reported to Global SDG Database (as of

15 November 2023)

STATISTICS

1.1.1 – Proportion of population below international poverty line

4

• Data coverage (Y2009-Y2021) and latest available year

Latest Year

Y2021

Y2021

Y2020

Y2020

Y2021

Y2020

Y2020

Y2018

Y2015

Y2005

Y1998

Y2003

Custodian: WB

0

0

0

2

10

12

12

12

12

12

13

13

Uzbekistan

Turkmenistan

Azerbaijan

Tajikistan

Kazakhstan

Ukraine

Russian Federation

Republic of Moldova

Kyrgyzstan

Belarus

Georgia

Armenia

Number of reference period(s) covered from Y2009-Y2021

STATISTICS

1.1.1 - Employed population below international poverty line

5

• Employed population below international poverty line, both sexes, age 25+ (%)

Latest Year

Y2019

Y2019

Y2019

Y2019

Y2019

Y2019

Y2019

Y2019

Y2019

Y2019

Y2019

Custodian: ILO

11

11

11

11

11

11

11

11

11

11

11

11

Armenia

Azerbaijan

Belarus

Georgia

Kazakhstan

Kyrgyzstan

Republic of Moldova

Russian Federation

Tajikistan

Turkmenistan

Ukraine

Uzbekistan

Number of reference period(s) covered from Y2009-Y2021

STATISTICS

1.2.1 – Population living below national poverty line

7

• Proportion of population living below the national poverty line, all areas (%)

Latest Year

Y2020

Y2020

Y2020

Y2020

Y2019

Y2012

Y2021

Y2013

Y2021

Y2021

Y2020

Custodian: WB

1

3

3

4

4

4

8

12

12

12

12

Ukraine

Republic of Moldova

Armenia

Uzbekistan

Kazakhstan

Azerbaijan

Tajikistan

Russian Federation

Kyrgyzstan

Georgia

Belarus

Number of reference period(s) covered from Y2009-Y2021

STATISTICS

1.2.2 – population living in multidimensional poverty

8

• Remains only one country with data reported

• Data availability for Armenia:

• Latest data: Y2020, earliest period: Y2010

• Sex-disaggregated from Y2018

• Rural and urban data disaggregation available

• Age disaggregation: <18 years old

Custodians: WB, UNICEF, UNDP

STATISTICS

1.3.1 – Population covered by social

protection floors/systems

9

Indicators concerning cash benefits recipients

Data available

including by sex Data not availableData available

but not by sex Data available

Sex disaggregation

not applicable

SDG Indicators ARM AZE BLR GEO KAZ KGZ MDA RUS TJK TKM UKR UZB

Proportion of children/households

receiving child/family cash benefit,

by sex (%) + + NA + + + NA + + +

Proportion of poor population

receiving social assistance cash

benefit, by sex (%) + + NA + + + NA + + NA + +

Proportion of population with severe

disabilities receiving disability cash

benefit, by sex (%) + + +

Proportion of unemployed persons

receiving unemployment cash

benefit, by sex (%) Available Available Available + + Available Available + Available +

Proportion of vulnerable population

receiving social assistance cash

benefit, by sex (%) + + NA + + + NA + + + +

Proportion of mothers with newborns

receiving maternity cash benefit (%) . . . . . . . . .

Custodian: ILO

STATISTICS

1.3.1 – Population covered by

social protection floors/systems

10

Indicators concerning other social benefits/social protection coverage

Data available

including by sex Data not availableData available

but not by sex

SDG Indicators ARM AZE BLR GEO KAZ KGZ MDA RUS TJK TKM UKR UZB

Proportion of population covered by

at least one social protection

benefit, by sex (%) + + + + + + + + +

Proportion of employed population

covered in the event of work injury,

by sex (%) + + + + + + + NA + NA +

Proportion of population above

statutory pensionable age receiving

a pension, by sex (%) Available Available Available + Available + +

Custodian: ILO

STATISTICS

1.3.1 – Population covered by

social protection floors/systems

11

World Bank indicators on social and labour market programs

Data available Data not available

SDG Indicators ARM AZE BLR GEO KAZ KGZ MDA RUS TJK TKM UKR UZB

Poorest quintile covered by labour

market programs (%) Available Available Available Available Available Available Available Available NA NA Available NA

Poorest quintile covered by social

assistance programs (%) Available Available Available Available Available Available Available Available Available NA Available NA

Poorest quintile covered by social

insurance programs (%) Available Available Available NA Available Available Available Available Available NA Available NA

Proportion of population covered by

labour market programs (%) Available Available Available Available Available Available Available Available NA NA Available NA

Proportion of population covered by

social assistance programs (%) Available Available Available Available Available Available Available Available Available NA Available NA

Proportion of population covered by

social insurance programs (%)

Available Available Available NA Available Available Available Available Available NA Available NA

STATISTICS

1.4.1 - Population using basic drinking water & sanitation services

12

Data available

including

urban/rural

Data not available

Indicators related to water and sanitation services

SDG Indicators ARM AZE BLR GEO KAZ KGZ MDA RUS TJK TKM UKR UZB

Proportion of population using

basic drinking water services,

by location (%) Available Available Available Available Available Available Available Available Available Available Available Available

Proportion of population using

basic sanitation services, by

location (%) Available Available Available Available Available Available Available Available Available Available Available Available

Custodian: UN-HABITAT Data Source: WHO/UNICEF Joint Monitoring Programme

STATISTICS

10.1.1 - Growth rates of household expenditure or income per capita

13

Data available Data not available

By 2030, progressively achieve and sustain income growth of the bottom

40 per cent of the population at a rate higher than the national average

SDG Indicators ARM AZE BLR GEO KAZ KGZ MDA RUS TJK TKM UKR UZB

Growth rates of household

expenditure or income per capita

among the bottom 40 per cent of the

population Available

Not

Available Available Available Available Available Available Available

Not

Available

Not

Available Available

Custodian: WB

STATISTICS

10.2.1 - Proportion of people living below

50 per cent of median income

15

• Data coverage (Y2009-Y2021) and latest available year

Latest Year

Y2021

Y2021

Y2020

Y2020

Y2021

Y2020

Y2020

Y2018

Y2015

Y2005

Y1998

Y2003

Custodian: WB

0

0

0

2

10

12

12

12

12

12

13

13

Uzbekistan

Turkmenistan

Azerbaijan

Tajikistan

Kazakhstan

Ukraine

Russian Federation

Republic of Moldova

Kyrgyzstan

Belarus

Georgia

Armenia

Number of reference period(s) covered from Y2009-Y2021

STATISTICS

Conclusion

16

• 1.1.1 - International poverty line

• Good coverage with more recent data from Y2020-Y2021

• 1.2.2 - Multidimensional poverty

• Remains only one country with data for indicator

• Improved data availability for 1.3.1 indicators on social

benefits/social protection coverage

• More countries with recent data from Y2020-Y2021 for indicator 10.2.1

• Major update to the global database expected towards end of

December 2023

S TAT I S T I C S

UNECE Statistical Division

Thank you for your attention!

unece.org/data

[email protected]

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Presentation, Asset poverty project in Switzerland, Martina Guggisberg and Stephan Häni (Swiss Federal Statistical Office)

Languages and translations
English

Poverty measurement integrating wealth

Stephan Häni, Martina Guggisberg, Swiss Federal Statistical Office (FSO)

UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

How to define poverty?

• Statistical reality: poverty = income poverty → only income from assets is considered, but not assets themselves

• Poverty rate (especially of the elderly) is overestimated

• Objective: integrate wealth into poverty measurement

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«People are considered to be poor if they do not have the financial means to buy goods and services that are necessary for a socially integrated life.» (FSO 2018)

S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Two basic concepts

Two-dimensional approach:

Wealth = income substitute

→ Are individuals able to cover their basic needs with assets for a certain time in case of a sudden loss of income?

One-dimensional approach:

Wealth = income complement

→ Are individuals able to cover their basic needs when a percentage of assets is added to household income (continuous asset depletion)

3S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

What we have done so far

• CH-SILC: module collecting monetary value of assets & debts

• Experimental analysis based on the two-dimensional approach: Poverty measurement integrating wealth | FSO - Experimental statistics

• Broad consultation and discussion with external partners

• New demands due to National Monitoring on Poverty

• New efforts to make national tax data accessible for statistical purposes

4S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Main demands and challenges

• Poverty rates for pensioners must take wealth into account

• Two-dimensional approach seems fitting for working age population, but for pensioners, one-dimensional approach seems more appropriate

• One-dimensional approach is further investigated by an external research institute commissioned by the Federal Social Insurance Office (FSIO)

• Challenge: communicate and integrate the two concepts for the whole population

5S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

One-dimensional approach: options

General idea: Wealth is continously depleted over a long period of time

• Calculation of a depletion rate → single rate or according to life expectancy

• Definition of wealth components → with or without main residence

• Estimation of future development of wealth → single interest rate or different rates depending on asset type

6S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

One-dimensional approach: models

• Model 1: Net wealth excluding main residence, depletion rate varies according to life expectancy, one interest rate for all asset types

• Model 2: Net wealth excluding main residence, depletion rate varies according to life expectancy, interest rate varies depending on asset types

• Model 3: Net wealth including main residence, depletion rate varies according to life expectancy, one interest rate for all asset types

• Model 4: Net wealth excluding main residence, single depletion rate for all ages at 5%, one interest rate for all asset types

7S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

One-dimensional approach: first insights

• Models are quite robust because depletion rate is rather low over all

• Specific interest rate by asset type has almost no impact

• Main residence has a large impact

• Life expectancy should be taken into account

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Model 1: baseline

Model 2: asset-specific interest rates

Model 3: including main residence

Model 4: constant depletion rate at 5%

Poverty rates including wealth

Source: SILC 2020, experimental data on wealth, chart adapted from Demografik

S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Thank you for your attention!

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Contact information:

• Federal Statistical Office [email protected], [email protected]

• National Monitoring on Poverty [email protected]

S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

  • Slide 1: Poverty measurement integrating wealth
  • Slide 2: How to define poverty?
  • Slide 3: Two basic concepts
  • Slide 4: What we have done so far
  • Slide 5: Main demands and challenges
  • Slide 6: One-dimensional approach: options
  • Slide 7: One-dimensional approach: models
  • Slide 8: One-dimensional approach: first insights
  • Slide 9: Thank you for your attention!
Russian

Измерение бедности с учетом богатства

Stephan Häni, Martina Guggisberg, Федеральное Статистическое Управление Швейцарии (ФСУ)

Экспертная группа ЕЭК ООН по измерению бедности и неравенства, 27/28.11.2023

Как определяется бедность?

• Статистическая реальность: Бедность = бедность обусловленная

доходами

→ рассматривается только доход от активов, а не сами активы

• Уровень бедности (особенно пожилых людей) преувеличен

• Цель: интегрировать богатство в измерение бедности

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«Люди считаются бедными, если не имеют финансовых средств для покупки товаров и услуг, необходимых для социально интегрированной жизни.» (ФСУ 2018)

S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Две основные концепции

Двухмерный подход:

Богатство = аналог дохода

→ В состоянии ли физлица на некоторое время покрывать свои основные потребности с помощью активов в случае внезапной потери дохода?

Одномерный подход:

Богатство = дополнение к доходу

→ В состоянии ли физлица покрывать свои основные потребности, добавляя часть активов к доходу домохозяйства? (постоянное истощение активов)

3S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Что мы сделали на сегодняшний день • CH-SILC: в рамках модуля собираются данные по монетарной

стоимости активов и долгов

• Экспериментальный анализ на основании двухмерного подхода: Измерение бедности с учетом богатства ФСУ – Экспериментальная статистика

• Обширные консультации и обсуждения с внешними партнерами

• Новый спрос ввиду Национального мониторинга бедности

• Новые усилия, чтобы добиться доступа к национальным данным по налогам для использования их в статистических целях

4S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Новый спрос и трудности

• Уровень бедности пенсионеров должен учитывать богатство

• Двухмерный подход больше подходит для населения в трудоспособном возрасте, но для пенсионеров лучше подходит одномерный подход.

• Одномерный подход все еще исследуется внешним исследовательским институтом, привлеченным Федеральным управлением социального страхования (FSIO)

• Трудности: сообщить и интегрировать эти две концепции для всего населения

5S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Одномерный подход: варианты

Общая идея: Богатство постоянно истощается в течение длительного времени

• Расчет уровня истощения → единый уровень или в зависимости от вероятной продолжительности жизни

• Определение компонентов богатства → с учетом или без учета основного места проживания

• Расчет уровня богатства в будущем → единая процентная ставка или разные ставки в зависимости от типа актива

6S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Одномерный подход: модели

• Модель 1: Нетто богатство, исключая основное место проживания, уровень истощения варьируется в зависимости от вероятной продолжительности жизни, единая процентная ставка для всех видов активов

• Модель 2: Нетто богатство, исключая основное место проживания, уровень истощения варьируется в зависимости от вероятной продолжительности жизни, процентная ставка варьируется в зависимости от вида актива

• Модель 3: Нетто богатство, включая основное место проживания, уровень истощения варьируется в зависимости от вероятной продолжительности жизни, единая процентная ставка для всех видов активов

• Модель 4: Нетто богатство, исключая основное место проживания, единая процентная ставка для всех возрастов в размере 5%, единая процентная ставка для всех видов активов

7S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Одномерный подход: первые результаты

• Модели вполне функциональные посколько уровень истощения весьма низок во всех них

• Введение отдельной процентной ставки по видам активов практически не влияет на результат

• Основное жилье оказывает значительное влияние

• Нужно учитывать вероятную продолжительность жизни

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Модель 1: базовая черта

Модель 2: процентная ставка зависит от активов

Модель 3: включая основное место проживания

Модель 4: Постоянный уровень истощения 5%

Уровни бедности включая богатство

Source: SILC 2020, experimental data on wealth, chart adapted from Demografik

S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

Благодарим всех за внимание!

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Контактная информация:

• Федеральное Статистическое Управление [email protected], [email protected]

• Национальный мониторинг бедности [email protected]

S. Häni, M. Guggisberg, Swiss FSO | Poverty measurement integrating wealth | UNECE Expert Group on Measuring Poverty and Inequality, 27/28.11.2023

  • Slide 1: Измерение бедности с учетом богатства
  • Slide 2: Как определяется бедность?
  • Slide 3: Две основные концепции
  • Slide 4: Что мы сделали на сегодняшний день
  • Slide 5: Новый спрос и трудности
  • Slide 6: Одномерный подход: варианты
  • Slide 7: Одномерный подход: модели
  • Slide 8: Одномерный подход: первые результаты
  • Slide 9: Благодарим всех за внимание!

The impact of the Global Food, Energy and Financing Crisis on vulnerable groups of Kyrgyzstan in 2022, Rafkat Hasanov (UNECE consultant)

Languages and translations
English

United Nations Economic Commission for Europe

Palais des Nations, 1211 Geneva 10, Switzerland

UNITED NATIONS

ECONOMIC COMMISSION FOR EUROPE

CONFERENCE OF EUROPEAN STATISTICIANS

Group of Experts on Measuring Poverty and Inequality

28-29 November 2023

Workshop on Harmonization of Poverty Statistics to

Measure SDG 1 and 10

27 November 2023

Title of contribution The impact of the Global Food, Energy and Financing Crisis on vulnerable

groups of Kyrgyzstan in 2022

Author Name(s) Rafkat Hasanov

Presenter Name Rafkat Hasanov

Presenter Organization UNDP Kyrgyzstan

Presenter’s email [email protected]

Topic Disaggregation for 2030 Agenda for Sustainable Development: Going

beyond averages

Summary:

A series of surveys taken at the national level and selected vulnerable groups demonstrated a mismatch

between positive macroeconomic trends and household well-being in Kyrgyzstan. The global food crisis

and subsequent high inflation, declining remittances, and rising poverty levels continue to undermine the

resilience of households as they resort to food and asset coping strategies. Despite the positive economic

growth, the challenges faced by vulnerable populations in the wake of the impact of the COVID-19

pandemic and the global food crisis remain invisible.

The mentioned negative effects are more pronounced in certain vulnerable groups. A large percentage of

families with 4 or more children mentioned an increase in household spending on food and non-food

items. The same is true for persons with disabilities and pensioners. The proportion of these families that

have resorted to an emergency coping strategy is well above the national survey average. But the most

affected by the crisis were families with several pensioners and people with disabilities living in them. A

large percentage of rejection of social support application from government agencies among the

analyzed groups is mentioned, but more importantly, a significant proportion of respondents do not know

the reason for the rejection.

Please select your preferred contribution (you may select both options):

☒ Presentation

☐ Paper (to be submitted by 20 October)

Protecting High-Resolution Poverty Statistics against Disclosure using Differential Privacy, Swiss Federal Statistical Office

geo-referenced data, differential privacy,  regionalized statistics, poverty statistics, OpenDP Library, 

Languages and translations
English

UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE

CONFERENCE OF EUROPEAN STATISTICIANS

Expert Meeting on Statistical Data Confidentiality

26-28 September 2023, Wiesbaden

Protecting High-Resolution Poverty Statistics against Disclosure using

Differential Privacy

Raphaël de Fondeville (Federal Statistical Office, Switzerland), Michael Shoemate (Harvard University,

USA), Wanrong Zhang (Harvard University, USA), Salil Vadhan (Harvard University, USA)

Abstract

The past few years have seen an explosion of the volume of geo-referenced data, a trend that can be observed in the world of official statistics: large scale imputation, generalizing survey results to the whole population, is made more and more common thanks to the efficiency and the flexibility of new machine learning algorithms. Official agencies are now capable of providing realistic estimates of population characteristics at lower than ever aggregation levels, but communicating survey results at always finer geographical scales strongly increases privacy risks. Thus, in order to maintain trust between populations and their administrations, official statistical offices must ensure highest levels of confidentiality. In this context, Differential Privacy (DP) has been successfully applied to protect individual's privacy by addition of properly scaled random noise. We first discuss the specificities of DP applied to regionalized statistics and present a baseline framework minimizing the amount of noise necessary to successfully control disclosure risk when releasing spatial aggregates. The technical readiness of the framework is illustrated through a synthetic case study based on Swiss poverty statistics using the OpenDP Library. Finally, we discuss some limitations of the DP framework when controlling disclosure risk of geo-referenced data and present some ongoing themes of research.

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1 Context: The SILC Survey and Poverty Indices

The SILC (Statistics on Income and Living Conditions) survey is a recurring annual survey conducted across more than 30 European countries [1]. Its implementation in Switzerland was initiated in 2007 [2]. The sampling methodology employed in this survey follows a proportional, stratified design, carefully organized into seven major geographical regions and currently reliant on the population register. A sample size of approximately 8,500 households, encompassing approximately 18,000 individuals, is typically included in the survey through a 4-year rotating panel design. Data collection is primarily conducted via telephone, although as of 2023, respondents have been provided with the alternative option of completing individual questionnaires online. To address issues related to non-response and loss to follow-up, as well as to ensure that the sample is appropriately calibrated to the reference population, weights are meticulously estimated and subsequently applied.

In conjunction with linked register and income data, the survey responses obtained from the SILC survey are employed to estimate multiple poverty indices, including Absolute Poverty, Relative Poverty, and Material and Social Deprivation. Further information pertaining to these indices can be found in the official report titled "Poverty Measurement in Switzerland" [3]. However, the primary focus of this work is exclusively directed towards the "Absolute Poverty Rate," which embodies a needs-based definition delineating a minimum subsistence level essential for ensuring both physical survival and a basic level of social participation. Individuals are deemed impoverished if they lack the financial means to procure goods and services necessary for a socially integrated life. The comparison between disposable household income and the costs associated with fundamental needs, such as food, clothing, personal care, transportation, entertainment, education, as well as housing and other indispensable expenditures like liability insurance, serves as the criterion for determining the Absolute Poverty Rate. This rate is estimated at the individual level, based on the poverty status of the household. Henceforth, in the subsequent sections of this paper, the terms poverty, poor, and poverty rate specifically pertain to this variable of absolute poverty.

Although the sample size of the SILC survey permits estimations at the level of grand regions (Nomenclature of territorial units for statistics 2), it is deemed insufficient for generating robust estimates at the cantonal level. Notably, Switzerland encompasses 26 cantons, exhibiting substantial disparities in terms of population size. However, the augmentation of the sample size to facilitate cantonal evaluations would entail considerable financial resources that are deemed impractical.

Building upon the pioneering work conducted by Statistics Austria, the Swiss Federal Statistical Office initiated an ambitious innovation project aimed at estimating poverty levels at fine-grained geographical units and furnishing reliable information across various regional levels, encompassing grids, census districts, municipalities, districts, and Nomenclature of territorial Units for Statistics (NUTS) levels. To realize this objective, a selection of supervised machine learning algorithms, namely Random Forest, Boosting, Support Vector Machines, and Neural Networks, were meticulously trained. These algorithms were employed to predict relative poverty levels by leveraging the SILC survey responses, which were appropriately linked with administrative and geographic data, while concurrently quantifying the associated uncertainty in a rigorous and systematic manner. Consequently, through the adoption of this approach, the process of imputation through algorithmic modeling was rendered feasible at the population level, thus enabling the provision of poverty statistics with robust uncertainty estimates at an unprecedented level of spatial resolution. However, it is crucial to acknowledge that such a commendable achievement inevitably amplifies the risk of potential disclosure, necessitating the comprehensive quantification and rigorous implementation of control measures to mitigate such risks effectively.

2 Disclosure Control using Differential Privacy

Differential privacy represents a concept of utmost significance within the realm of privacy preservation, offering a well-defined and mathematically rigorous framework for quantifying and constraining the extent of privacy loss. Primarily developed in the context of statistical disclosure control, differential privacy endeavors

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to furnish accurate statistical information pertaining to a group of respondents while simultaneously safeguarding the privacy of each individual within the group. Informally, it tackles the inherent paradox of acquiring valuable insights into the characteristics of a population without disclosing any specific details about an individual.

The fundamental principle underlying differential privacy is predicated upon the notion that if the influence of a singular substitution within the database remains sufficiently negligible, then the publicly released statistic cannot be exploited to glean substantial information about any individual within the dataset, thus ensuring privacy. Achieving control over the impact of an individual's contribution is accomplished through the introduction of noise during the release of computed statistics. The magnitude of the injected noise directly influences the resulting statistics: a larger amount of noise affords stronger guarantees of privacy at the expense of reduced reliability in the statistics obtained. This intricate interplay between privacy and utility is commonly referred to as the privacy-utility trade-off.

Within the framework of differential privacy, the magnitude of the noise applied is denoted by the budget parameter ε. A higher budget corresponds to more precise and accurate statistical outcomes, albeit at the expense of weaker privacy guarantees. Therefore, it is of utmost importance, particularly for national statistical offices, to optimize the utilization of the budget and provide the strongest privacy guarantees while maintaining the desired level of utility.

The application of differential privacy to geo-referenced data has witnessed significant advancements, with the United States Census Bureau emerging as a trailblazer in this domain. Notably, the "OnTheMap" initiative aimed to disseminate commuting patterns of the U.S. population while preserving the privacy of sensitive data [4]. Subsequently, during the 2020 Census, the Census Bureau leveraged the inherent data structure offered by geo-referenced data to optimize the allocation of the differential privacy budget [5]. In our current project, we endeavor to replicate a comparable strategy to disclose the Swiss poverty statistics at an unprecedented level of geographical resolution: Drawing inspiration from the approach utilized in [6] for the disclosure of a synthetic dataset pertaining to U.S. broadband coverage, we put forth a novel strategy aimed at optimizing budget allocation. This strategy entails dividing the national territory into progressively smaller and mutually exclusive regions, thereby affording a natural means of partitioning the dataset. As a result of this partitioning, the budget is judiciously allocated among these distinct regions, as opposed to assigning it to each individual statistic separately. However, as highlighted by [7], the practical implementation of differential privacy poses considerable challenges, necessitating the use of mature, robust, and secure software solutions.

3 Implementation Challenges

OpenDP [8] is an ongoing collaborative initiative hosted at Harvard University, which aims to develop a reliable suite of open-source tools for facilitating privacy-preserving analysis of sensitive personal data. The primary focus lies in the creation of a comprehensive library of algorithms designed to generate differentially private statistical releases. The intended applications of OpenDP encompass governmental, industrial, and academic sectors, wherein secure and confident sharing of sensitive data is paramount to support scientifically oriented research and exploration in the public interest.

The OpenDP project offers an open-source library featuring efficient implementations of differential privacy algorithms utilizing the Rust programming language. Contributions to the library undergo rigorous scrutiny and undergo an extensive vetting process to ensure their correctness and reliability. Currently, the library provides ready-to-use mechanisms for injecting noise, with bindings available in Python and partially in R. However, when dealing with geo-referenced data, complex manipulation and partitioning of datasets are necessary to optimize the utilization of the differential privacy budget. Regrettably, such operations could not yet be performed within the confines of the OpenDP framework.

To address this limitation, we integrated the capabilities of the Polars library [9] into the OpenDP framework. Developed in Rust, Polars offers exceptional speed and efficiency for data-frame representation and

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manipulation, and it is increasingly regarded as the successor to Pandas, a widely used library among data scientists analyzing data with Python. This integration enables end-to-end data pipelines within the OpenDP framework, encompassing crucial tasks such as partitioning, thereby facilitating secure and private data release while maximizing the utility of the differential privacy budget. In the near future, thanks to Polars integration, it will be feasible to conduct all necessary data manipulation and transformation directly within OpenDP, starting from the processing of raw data and culminating in the generation of differentially private releases of computed statistics. This contribution represents a significant stride towards the realization of fully secure and production-ready data analysis pipelines, offering a solution to some of the challenges outlined in [7].

4 Limitations of DP for geo-referenced Data

Differential privacy, as a privacy-enhancing concept, offers the assurance that an attacker's ability to identify individual contributions is inherently limited, regardless of the information at their disposal. However, when dealing with geo-referenced data, it is not uncommon to encounter potentially sizable groups that share the same geographical location and possess identical sensitive attributes. For instance, within tall buildings, numerous individuals may fall below the poverty line, causing the observed poverty rate at that specific location to deviate significantly from the national estimate and approach a value close to 1. Likewise, in the context of mobility data derived from live mobile phone networks, the identification of regions or buildings with an unusually low number of active users, juxtaposed with the presence of multiple households indicating primary residency, can divulge the absence of residents.

In both examples, the privacy risk is directly linked to the geographical localization or absence thereof, of a group of individuals, whose size cannot be predetermined. Traditional differential privacy mechanisms could offer some level of disclosure control by increasing the magnitude of noise proportionally to the maximum group size that needs protection. However, this solution remains partial in its effectiveness and incurs a notable loss in usability.

To preclude any potential discrimination or harm stemming from geographical information, it is imperative to implement confidentiality protection measures that not only curtail the identification of individual contributions but also impede an attacker from pinpointing the exact geographical coordinates associated with potentially sensitive attributes. Currently, our research endeavors revolve around the development of such mechanisms, with the overarching goal of generating accurate and finely detailed maps of geo- referenced data. These maps will serve as invaluable resources for meticulous policy piloting, while upholding stringent confidentiality safeguards.

Acknowledgement

Michael Shoemate, Wanrgon Zhang and Salil Vadhan were supported in part by Cooperative Agreement CB20ADR0160001 with the U.S. Census Bureau and a grant from the Sloan Foundation. Salil Vadhan was also supported in part by a Simons Investigator Award. The views expressed in this paper are those of the authors and not those of the U.S. Census Bureau, the Swiss Federal Statistical Office or any other sponsor.

[1] EU statistics on income and living conditions - Microdata - Eurostat (europa.eu)

[2] Swiss Federal Statistical Office - Poverty and deprivation

[3] Poverty Measurement in Switzerland

[4] Machanavajjhala, A., Kifer, D., Abowd, J., Gehrke, J., & Vilhuber, L. (2008). Privacy: Theory meets Practice on the Map. 2008 IEEE 24th International Conference on Data Engineering, Cancun, Mexico, 277–286. https://doi.org/10.1109/ICDE.2008.4497436

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[5] Haney, S., Sexton, W., Machanavajjhala, A., Hay, M., & Miklau, G. (2021). Differentially Private Algorithms for 2020 Census Detailed DHC Race & Ethnicity. ArXiv:2107.10659, 1–18. http://arxiv.org/abs/2107.10659

[6] Pereira, M., Kim, A., Allen, J., White, K., Ferres, J. L., & Dodhia, R. (2021). U.S. Broadband Coverage Data Set: A Differentially Private Data Release. ArXiv:2103.14035v2, 1–7. http://arxiv.org/abs/2103.14035

[7] Garfinkel, S. L., Abowd, J. M., & Powazek, S. (2018). Issues encountered deploying differential privacy. Proceedings of the ACM Conference on Computer and Communications Security, 133–137. https://doi.org/10.1145/3267323.3268949

[8] The OpenDP team. (2020). The OpenDP White Paper. https://projects.iq.harvard.edu/files/opendp/files/opendp_white_paper_11may2020.pdf

[9] Polars: Lightning-fast DataFrame library for Rust and Python

126-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Protecting High-Resolution Poverty Statistics against Disclosure using Differential Privacy

Dr. Raphaël de Fondeville

Senior Data Scientist – Group Lead

Federal Statistical Office - Switzerland

Rule of Law & Public Trust

Data Science Competence Center’s

Code of Conduct

Data Science under the Rule of Law

226-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Privacy Transparency Ethics

• Data Governance

• Data Confidentiality

• Data Security

• Non-discrimination

• Objectivity

• Representativeness

• Explainability

• Open source

• Reproducibility

Poverty Index Estimation

Goal: Estimating a poverty indicator in Switzerland.

Current practice: Phone questionnaire with “only”

17’000 people.

• Yearly survey.

• Representative of the Swiss population.

• Robust for “large regions” only.

• Quite expensive.

326-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Source: FSO

Poverty Index Estimation

Goal: Estimating a poverty indicator in Switzerland.

Current practice: Phone questionnaire with “only”

17’000 people.

• Yearly survey.

• Representative of the Swiss population.

• Robust for “large regions” only.

• Quite expensive.

Federal Council requests cantonal level.

426-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Source: FSO

526-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Data Imputation

• Auxiliary source of data &#x1d44d;&#x1d456; is available at population level: register data

such as location of residence, familly status, …

• Data Imputation: The poverty status of each individual is predicted from

auxiliary data.

• ෠&#x1d44b;&#x1d456; = &#x1d44b;_&#x1d456;, if individual &#x1d456; participated to the survey.

• ෠&#x1d44b;&#x1d456; = &#x1d487;(&#x1d44d;&#x1d456;), if individual &#x1d456; did not

participated to the survey.

&#x1d443; = 1

&#x1d441; ෍

&#x1d456;=1

&#x1d441;

෠&#x1d44b;&#x1d456;

626-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Data Imputation using Machine Learning

BUT it can be learned from the data using Machine Learning (ML).

We explored multiple algorithms and quantifies their uncertainty:

• Logistic regression,

• Random forest,

• Gradient boosting,

• Neural networks.

The function &#x1d487; linking Z to X is unknown!

726-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Privacy Challenge: Disclosure Control

Major privacy risk to disclose fine resolution data …

Source: OFS

826-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Introduction to Differential Privacy

National Statistical Office

(Input and Compute Party)

Differential Privacy

Sex Zip Poverty Status

M 1005 Y

F 2012 N

F 8038 N

M 1503 N

F 1220 Y

M 3807 Y

Population Statistical

Analysis

S o

u rc

e D

a ta

R e

s u

lt s

P a

rt ie

s

(A d

v e

rs a

ri e

s )

926-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Introduction to Differential Privacy

National Statistical Office

(Input and Compute Party)

Sex Zip Poverty Status

M 1005 Y

F 2012 N

F 8038 N

M 1503 N

F 1220 Y

M 3807 Y

Population Statistical

Analysis

S o

u rc

e D

a ta

R e

s u

lt s

P a

rt ie

s

(A d

v e

rs a

ri e

s )

D if

fe re

n ti

a l P

ri v a

c y

M e c h

a n

is m

New components were

implemented in OpenDP to

leverage the data structure.

1026-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Disclosure Control for Poverty Statistics

Applying DP in production is challenging [1] and requests secure and robust

end-to-end data pipelines.

[1] Garfinkel, S., Abowd, J., and Powazeck, S. (2018). Issues Encountered Deploying Differential Privacy. WPES’18: Proceedings of the 2018 Workshop on Privacy in Electronic Society, 133–137.

Source: OFS

1126-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Data Pipelines in OpenDP

End-to-end secure and efficient pipelines for data ingestion, representation

and manipulation with the OpenDP library.

Michael Shoemate Pauline Maury-Laribière Anna Banaszak

1226-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

Disclosure Control for Poverty Statistics

Source: OFS

Differential Privacy does not preclude any potential discrimination or harm

stemming from geographical information.

Ongoing new methodological

developments.

1326-09-2023 | UNECE Expert Meeting on Statistical Data Confidentiality | Swiss Federal Statistical Office / DSCC

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Gender workshop report

Languages and translations
English

GE.

United Nations Economic Commission for Europe

Conference of European Statisticians

Workshop on Gender Statistics Geneva, 9 May 2023

Report

Note by the Secretariat

I. Attendance

1. The capacity development workshop on gender statistics was organized by the United Nations Economic Commission for Europe (UNECE), in cooperation with the United Nations Conference on Trade and Development (UNCTAD) and the United Nations Entity for Gender Equality and the Empowerment of Women (UN Women). Financial support for the workshop was provided by the partners and through the United Nations Development Account (12th tranche) project “Statistics for gender-responsive trade policies”.

2. The workshop was attended by participants from Armenia, Azerbaijan, Belarus, Georgia, Finland, Hungary, Ireland, Italy, Kazakhstan, Kyrgyzstan, North Macedonia, Norway, Portugal, Republic of Moldova, Switzerland, Tajikistan, Ukraine, Unites States, Uzbekistan, European Institute for Gender Equality, Interstate Statistical Committee of the Commonwealth of Independent States, International Labour Organization, Food and Agriculture Organization of the United Nations, United Nations Economic Commission for Latin America and the Caribbean, UNCTAD, United Nations Population Fund, UN Women, World Bank, World Health Organization (WHO) and Gothenburg University.

II. Organization

3. The workshop was designed principally to benefit experts dealing with gender statistics in national statistical offices (NSOs).

4. The following topics were discussed at the workshop:

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(a) gender and trade

(b) measuring violence against women

5. The workshop took place immediately before the UNECE Work Session on Gender Statistics (10–12 May 2023).

6. The workshop programme and contributions are available on the at the UNECE website.

III. Summary of proceedings

A. Gender and trade

7. This session focused on data needs and tools for measuring gender-in- trade. The Buenos Aires Declaration on Trade and Women's Economic Empowerment most recently expressed the policy need and international agreement in that direction and called for the sharing of gender focused statistics related to trade. In 2019, three transformative free trade agreements (FTAs) were created, all of which included an individual and separate chapter exclusively dedicated to gender. Since then, the number of FTAs with a chapter on gender has been growing and reaching around 20 such agreements at the moment.

8. Gender-in-trade statistics is a new area, and first efforts are being made to be mainstreamed into the regular statistical production. It was noted that raising awareness and highlighting indicators produced by data integration can help achieve gender goals and inform policy on the gender implications of trade.

9. As a first step and preferred method in producing gender-in-trade data, the statistical experts noted the use of already available administrative data and data linking. The benefits of analysing microdata are evident. They provide flexibility of deriving gender-in-trade indicators, at different level of disaggregation and with high precision. Despite that microdata linking is the most accurate method, linking at the aggregate, macro level also provides useful indications. This approach aims to minimise the need for new surveys and instead have the experts perform a thorough analysis of already existing statistics and built capabilities. Dedicated surveys (in most cases also already existing) could further fill the gaps.

10. With support from UNECE, a survey of national statistical offices (NSOs) on gender-in-trade was conducted before the workshop. Responses were received from nine countries (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Republic of Moldova, Tajikistan, Ukraine, and Uzbekistan). In most countries, the exports and imports data were recorded by the customs agencies however data exchange between NSOs and the data owners was not always assured. All countries reported using the same identifiers across different government agencies. All but one surveyed country indicated enterprise-level data availability on trade of goods. The majority of the surveyed countries had data on enterprise ownership and enterprise

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management. However, differentiation by sex was available only in 3 countries for enterprise ownership and in 5 countries for enterprise management.

11. Pilot studies from Georgia (2021), Kazakhstan (2022) as well as the ongoing studies in four African countries revealed the great potential of existing data and enabled sharing of good practices in different data environments. The speakers focused on merging trade data with enterprise- level data from business statistics surveys. They outlined the important gender dimensions of trade, including employment, earnings, well-being and ownership. In both Georgia and Kazakhstan, the NSOs used large trade data sets provided by the customs authorities, involving 120,000 trade enterprises in Kazakhstan and 60,000 in Georgia. In Georgia, the non-trade data came from business registers, enterprise surveys, structure of earnings survey and in Kazakhstan from labour statistics. This allowed to produce several gender disaggregated data, such as for example gender pay gap or shares of women and men by level and type of occupation in trade, In Georgia, in addition, the microlinking was done by selected export sectors.

12. The UNECE pilots and the concise survey show that the production of many basic and disaggregated indicators is feasible for the countries without significant preparatory activities. Both Georgia and Kazakhstan expressed support in going into the direction of gender in trade statistics becoming a part of the regular statistical production. Further information on the methodology used in the two countries can be found in the reports of the pilot studies available on the workshop meeting page.

13. Market survey on the state and prospects of economic activities of enterprises in the Republic of Moldova helped to reveal the gender characteristics of the enterprises involved in trade (enterprises from industry, construction and wholesale and retail trade). The findings allowed to see the expectations of trade revenue and volume as well as on the risk factors to the economic activity, all by gender characteristics of the enterprises.

14. Survey studies have been developed in Tajikistan with support from the World Bank. Two questionnaires were filled by trade firms and customs brokers. The questions focused on areas related to the Trade Facilitation Agreements under the World Trade Organization. Data was collected on trade volumes by women and men, access to trade financing, memberships in industry/trade associations, as well as by marriage status. The results show that the representation of men in trade firms is stronger.

15. The experience by Finland, a country with advanced use of registered data and data linking, showed that while the trade data are available challenges remain. For example, different data sources are constructed for different reasons and methodology is not yet complete (how to account for employee working in multiple enterprises or for a partially employed person). Although the issues mentioned and are not gender-specific, they affect linking and potentially distorts gender-specific indicators alongside other employee characteristics.

16. All speakers stressed the fact that an effective communication and engagement from all parties involved is needed, with external partners such

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as the customs authorities but also within the statistical office between gender and economic statistics and international relations departments.

17. At international level, as next steps, UNCTAD outlined the development of a tentative conceptual framework for measuring gender and trade, reflecting the policy data needs. UNCTAD also informed that upcoming recommendations considering gender aspects and a core set of business indicators in the United Nations trade statistics manuals are being currently developed. UN Women noted that the attention to digital trade is growing and in some countries the analysis on gender equality already covers areas like e-commerce.

B. Measuring violence against women

18. This session considered recent experiences on designing and implementing a national prevalence survey on violence against women (VAW). The need for reliable VAW data continues to be strong. Severe violence is more likely to be reported, and therefore, found in administrative data. Surveys, in addition, allow to capture more of the non-severe cases. Studies however show that the actual prevalence remains above these levels and often many aspects, such as non-physical violence are omitted from statistics.

19. More concretely, the participants noted as deficiency for example if violence is measured by looking only at the current or most recent partner. Other survey limitations included lack of data on violence against older women, VAW with disabilities, and other marginalized groups. Surveys often miss listing of the types of the intimate partner’s acts of violence, in some cases there is no information on the perpetrator of violence.

20. The discussion focused on the ways to extend the measurement scope and capture trends. Usually, the definition of prevalence shows the number of women who have experienced abuse in a certain period of time. A common practice in the European Union, for example, is to look at VAW in the last 5 years. Furthermore, using a more detailed instrument that asks about occurrence and frequency of acts is likely to raise the percentage of people who reply positively.

21. Selection and training of interviewers, as well as guiding the data collection in the field is crucial for improvement of survey taking. They should also involve consideration to ethical and safety standards. The participants indicated that more clarity is needed about methods used in the survey like weighting, data gaps and operational definitions.

22. The session further discussed the lessons learned from various context on implementing a survey on VAW. The mentioned data sources include the legal system, medical establishments, crises centres and court system. For example, a medico-demographic survey was conducted in Tajikistan in 2018. The same survey will be done also this year and will cover 35 indicators, including VAW indicators. Kyrgyzstan showed combined data from statistical sources (crisis centres, shelters, aksakals' courts, centres providing

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social assistance to the population) and administrative sources (the Prosecutor General's Office, the Supreme Court, the Ministry of Internal Affairs, the Ministry of Healthcare, and the Ministry of Justice). The experts agreed that coordination of the data between the different sources is a challenge (e.g., same person can be reported by several systems).

23. As reiterated by Armenia, pilot surveys have an important role and help to avoid mistakes during the full-scale survey. In Georgia thanks to the pilot survey several updates were made to finalize questionnaires, brochures were distributed to respondents and protocols were prepared, for example for interviewing children under 18. The pilot survey in Kazakhstan facilitated the organization and use of tablets. In Portugal, the pilot survey, which showed difficulties with interviewing elderly, helped them to define the upper age limit at 75.

24. A key point discussed when undertaking surveys with the various time intervals (7 years in Kazakhstan, 2 and 11 years in Armenia) were how to preserve comparability while adding new questions. In this context, a UNECE initiative on developing conceptual frameworks and a common understanding of how to measure VAW, especially with regard to new forms of violence was welcome.

25. Improvement of methodologies to further address intersections with respect to sampling plans, disaggregation, or denominations are much needed. In some cases, the introduction of specialized modules, e.g. special module on women aged 50 and older can facilitate data collection on intersections. While higher income countries report on violence against older women, lower income countries often omit it from their statistics. Kazakhstan highlighted again the importance of interviewers, especially in the context of interviewing older women. WHO said data is also missing on the type of the violence act and the perpetrator.

26. Special attention was paid at technology-facilitated violence against women, an emerging trend reinforced during the Covid pandemic when more people switched to the online space.

IV. Conclusions

27. The workshop concluded with thanks to international partners for their active involvement in supporting the countries. Countries expressed commitment for following up on the gender-in-trade pilot studies and with conducting surveys on violence against women.

28. Participants considered the workshop to be a valuable opportunity for sharing of knowledge and experience. The combination of presentations from invited experts, sharing of national experiences in participants’ countries, and guidance from international partners was greatly valued.

  • Report
  • I. Attendance
  • II. Organization
  • III. Summary of proceedings
  • IV. Conclusions
Russian

GE.

Европейская экономическая комиссия

Конференция европейских статистиков

Рабочее совещание по гендерной статистике

Женева, 9 мая 2023 года

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I. Участники

1. Рабочее совещание по развитию потенциала в области гендерной

статистики было организовано Европейской экономической комиссией

Организации Объединенных Наций (ЕЭК ООН) в сотрудничестве с

Конференцией Организации Объединенных Наций по торговле и

развитию (ЮНКТАД) и Структурой Организации Объединенных Наций

по вопросам гендерного равенства и расширения прав и возможностей

женщин («ООН-женщины»). Финансовая поддержка в проведении

рабочего совещания была предоставлена партнерами, а также по линии

проекта Счета развития Организации Объединенных Наций (12-й

транш) «Статистика для гендерно-ориентированной торговой

политики».

2. В рабочем совещании приняли участие представители Армении,

Азербайджана, Беларуси, Грузии, Финляндии, Венгрии, Ирландии,

Италии, Казахстана, Кыргызстана, Северной Македонии, Норвегии,

Португалии, Республики Молдова, Швейцарии, Таджикистана,

Украины, США, Узбекистана, Европейского института гендерного

равенства, Межгосударственного статистического комитета

Содружества Независимых Государств, Международной организации

труда, Продовольственной и сельскохозяйственной организации

Объединенных Наций, Экономической комиссии Организации

Объединенных Наций для Латинской Америки и Карибского бассейна,

ЮНКТАД, Фонда Организации Объединенных Наций в области

народонаселения, Структуры «ООН-женщины», Всемирного банка,

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Всемирной организации здравоохранения (ВОЗ) и Гетеборгского

университета.

II. Организация

3. Рабочее совещание было предназначено главным образом для

экспертов, работающих с гендерной статистикой в национальных

статистических управлениях (НСУ).

4. На рабочем совещании обсуждались следующие темы:

(a) гендер и торговля

(b) измерение показателей насилия в отношении женщин

5. Рабочее совещание состоялось непосредственно перед рабочей

сессией ЕЭК ООН по гендерной статистике (10–12 мая 2023 года).

6. Программа и материалы рабочего совещания размещены на

веб-сайте ЕЭК ООН.

III. Протокол рабочего совещания

A. Гендер и торговля

7. На этой сессии основное внимание было уделено потребностям в

данных и инструментам для измерения гендерных аспектов торговли. В

Буэнос-Айресской декларации о торговле и расширении экономических

прав и возможностей женщин совсем недавно было заявлено о

политической необходимости и международном согласии в этом

направлении и содержался призыв к обмену гендерной статистикой,

связанной с торговлей. В 2019 году было заключено три

трансформативных соглашения о свободной торговле (ССТ), каждое из

которых включало отдельную главу, посвященную исключительно

гендерным аспектам. С того времени количество соглашений о

свободной торговле, содержащих главу, касающуюся гендерных

вопросов, увеличивалось, и на данный момент их насчитывается около

20.

8. Статистика по гендерным аспектам торговли является новой

областью, и в настоящее время предпринимаются первые усилия по

включению ее в регулярный процесс производства статистических

данных. Было отмечено, что повышение осведомленности и выявление

показателей, получаемых в результате интеграции данных, могут

способствовать достижению гендерных целей и служить источником

информации для целей разработки политики с учетом потенциальных

гендерных последствий торговли.

9. В качестве первого шага и предпочтительного метода получения

данных о гендерных аспектах торговли эксперты в области статистики

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отметили использование уже имеющихся административных данных и

связывание данных. Преимущества анализа микроданных очевидны.

Они обеспечивают гибкость при расчете гендерных показателей в

области торговли на различных уровнях дезагрегирования и с высокой

точностью. Несмотря на то, что связывание микроданных является

наиболее точным методом, связывание данных на агрегированном

(макро-) уровне также позволяет получить полезные сведения. Этот

подход имеет своей целью свести к минимуму потребность в новых

обследованиях и обеспечить, чтобы эксперты вместо этого проводили

глубокий анализ существующих статистических данных с

использованием уже имеющихся возможностей. Специализированные

обследования (по которым, в большинстве случаев, также уже имеются

результаты) могли бы восполнить пробелы.

10. Перед рабочим совещанием при поддержке ЕЭК ООН был

проведен опрос национальных статистических управлений (НСУ) по

гендерным аспектам торговли. Ответы были получены из девяти стран

(Армения, Азербайджан, Беларусь, Грузия, Казахстан, Республика

Молдова, Таджикистан, Украина и Узбекистан). В большинстве стран

регистрация данных об экспорте и импорте осуществлялась

таможенными органами, однако обмен данными между НСУ и

владельцами данных обеспечивался не всегда. Все страны сообщили об

использовании одних и тех же идентификаторов в разных

государственных учреждениях. Все опрошенные страны, за

исключением одной, указали на наличие данных о торговле товарами

на уровне предприятий. Большинство опрошенных стран располагали

данными о владельцах и руководителях предприятий. Однако

дифференциация по признаку пола была доступна только в 3 странах

для владельцев предприятий и в 5 странах для руководителей

предприятий.

11. Пилотные исследования, проведенные в Грузии (2021 год) и

Казахстане (2022 год), а также проводимые в настоящее время

исследования в четырех странах Африки выявили огромный потенциал

существующих данных и способствовали обмену передовым опытом в

различных средах данных. Особое внимание выступавшие уделили

объединению торговых данных с данными на уровне компаний,

полученными в ходе обследований в области бизнес-статистики. Они

осветили важные гендерные аспекты торговли, включая занятость,

доходы, благосостояние и право собственности. Как в Грузии, так и в

Казахстане НСУ использовали большие наборы торговых данных,

предоставленные таможенными органами, охватывающие 120 000

торговых предприятий в Казахстане и 60 000 в Грузии. В Грузии

неторговые данные были получены из коммерческих реестров,

обследований предприятий, обследования структуры доходов, а в

Казахстане – из статистики труда. Это позволило получить ряд данных,

дезагрегированных по гендерному признаку, таких как, например, о

гендерном разрыве в оплате труда или соотношении женщин и мужчин

в сфере торговле в разбивке по уровню и типу занятости. В Грузии, в

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дополнение к этому, было выполнено микросвязывание по отдельным

экспортным секторам.

12. Пилотные проекты ЕЭК ООН и краткий опрос показывают, что

подготовка многих базовых и дезагрегированных показателей без

проведения значительных подготовительных мероприятий является

реалистичной задачей для стран. Грузия и Казахстан заявили о своей

поддержке усилий, направленных на то, чтобы гендерная статистика в

области торговли стала частью регулярного процесса производства

статистических данных. С дополнительной информацией о

методологии, использованной в двух странах, можно ознакомиться в

докладах о пилотных исследованиях, доступных на странице,

посвященной рабочему совещанию.

13. Конъюнктурное обследование о состоянии и перспективах

экономической деятельности предприятий в Республике Молдова

позволило определить гендерные характеристики предприятий,

занимающихся торговлей (в секторах промышленности, строительства

и оптово-розничной торговли). Полученные данные позволили понять

ожидания в отношении доходов от торговли и объема торговли, а также

в отношении факторов риска для экономической деятельности в

разбивке по гендерным характеристикам предприятий.

14. Обзорные исследования были разработаны в Таджикистане при

поддержке Всемирного банка. Торговыми фирмами и таможенными

брокерами были заполнены две опросные анкеты. Вопросы касались

областей, связанных с соглашениями Всемирной торговой организации

об упрощении процедур торговли. Были собраны данные о торговом

обороте женщин и мужчин, доступе к торговому финансированию,

членстве в отраслевых/торговых ассоциациях, а также о семейном

положении. Результаты указывают на большую представленность

мужчин в торговых фирмах.

15. Опыт Финляндии, где широко используются зарегистрированные

данные и применяется увязка данных, показал, что, несмотря на наличие

торговых данных, проблемы по-прежнему существуют. Например,

различные источники данных создаются по разным причинам, а

методология еще не окончательно доработана (как учитывать

работника, работающего на нескольких предприятиях, или сотрудника,

работающего на условиях неполной занятости). Несмотря на то, что

упомянутые проблемы не носят гендерного характера, они влияют на

увязку данных и потенциально искажают гендерные показатели наряду

с другими характеристиками работников.

16. Все выступавшие подчеркнули тот факт, что необходима

эффективная коммуникация и взаимодействие всех заинтересованных

сторон как с внешними партнерами, такими как таможенные органы, так

и внутри статистического управления между управлениями гендерной

и экономической статистики и управлениями международных

отношений.

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17. На международном уровне в качестве следующих шагов

ЮНКТАД представила информацию о разработке проекта

концептуальной основы для оценки гендерных аспектов торговли с

учетом потребностей в данных для формирования политики. ЮНКТАД

также сообщила, что в настоящее время разрабатываются будущие

рекомендации в отношении учета гендерных аспектов и основного

набора бизнес-показателей в Руководствах по торговой статистике

ООН. Структура «ООН-женщины» отметила, что внимание к цифровой

торговле растет, и в некоторых странах анализ гендерного равенства

уже охватывает такие области, как электронная торговля.

B. Измерение показателей насилия в отношении женщин

18. На этой сессии был рассмотрен недавний опыт в области

разработки и проведения национального обследования

распространенности насилия в отношении женщин (НОЖ).

Потребность в достоверных данных о НОЖ по-прежнему велика.

Случаи жестокого насилия чаще регистрируются и, следовательно,

находят отражение в административных данных. Обследования, в

дополнение к этому, позволяют охватить большее число случаев, не

связанных с жестоким насилием. Вместе с тем исследования

показывают, что фактическая распространенность по-прежнему

превышает эти уровни и зачастую многие аспекты, в частности,

нефизическое насилие, не учитываются в статистике.

19. Более конкретно, участники отметили в качестве недостатка, к

примеру, практику измерения показателей насилия, обращая внимание

только на текущего или последнего партнера. Другие ограничения

обследования включали отсутствие данных о насилии в отношении

женщин пожилого возраста, женщин с инвалидностью и других

маргинализированных групп. В обследованиях часто отсутствует

перечень видов актов насилия со стороны интимного партнера, а в

некоторых случаях отсутствует информация об агрессоре.

20. В ходе дискуссии основное внимание было сосредоточено на

способах расширения диапазона измерений и выявления тенденций. Как

правило, определение распространенности отражает количество

женщин, подвергшихся жестокому обращению за определенный период

времени. Обычной практикой в Европейском союзе, например, является

анализ НОЖ за последние пять лет. Кроме того, использование более

детализированного инструмента, который включает вопросы о случаях

насилия и их частоте, по всей вероятности, приведет к увеличению

процентной доли людей, давших положительный ответ.

21. Отбор и обучение интервьюеров, а также руководство сбором

данных на местах имеют решающее значение для улучшения

проведения обследований. При этом также необходимо учитывать

этические нормы и требования безопасности. Участники указали, что

необходимо больше ясности в отношении методов, используемых в

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6

ходе обследования, таких как взвешивание, пробелы в данных и рабочие

определения.

22. На сессии также обсуждались уроки, вынесенные в различных

контекстах проведения обследования по проблеме насилия в отношении

женщин. К указанным источникам данных относятся правовая система,

медицинские учреждения, кризисные центры и судебная система.

Например, в 2018 году в Таджикистане было проведено медико-

демографическое исследование. Аналогичное исследование

планируется провести и в этом году по 35 показателям, включая

показатели НОЖ. Кыргызстан представил сводные данные из

статистических источников (кризисные центры, приюты, суды

аксакалов, центры социальной помощи населению) и

административных источников (Генеральная прокуратура, Верховный

суд, Министерство внутренних дел, Министерство здравоохранения,

Министерство юстиции). Эксперты согласились с тем, что координация

данных между различными источниками является сложной задачей

(например, один и тот же человек может быть зарегистрирован в

нескольких системах).

23. Как подтвердили представители Армении, пилотные

обследования играют важную роль и помогают избежать ошибок при

проведении полномасштабных обследований. В Грузии благодаря

пилотному обследованию в процессе доработки опросных анкет в них

было внесено несколько корректировок, среди респондентов были

распространены брошюры, а также подготовлены протоколы, например

для опроса детей в возрасте до 18 лет. Пилотное обследование в

Казахстане способствовало упрощению организации процесса и

использованию планшетов. В Португалии благодаря пилотному

обследованию, в ходе которого отмечались трудности с опросом

пожилых людей, верхний возрастной предел был установлен на уровне

75 лет.

24. При обсуждении проведения обследований с различными

временными интервалами (7 лет в Казахстане, 2 года и 11 лет в

Армении) ключевой аспект заключался в том, как обеспечить

сопоставимость при добавлении новых вопросов. В этом контексте

приветствуется инициатива ЕЭК ООН по разработке концептуальных

основ и достижению общего понимания того, каким образом следует

измерять показатели НОЖ, особенно в отношении новых форм насилия.

25. Существует острая необходимость в совершенствовании

методологий для дальнейшего рассмотрения взаимопересечений в

отношении планов выборки, дезагрегирования или обозначений. В

некоторых случаях включение специализированных модулей, например

специального модуля для женщин в возрасте 50 лет и старше, может

упростить сбор данных о взаимопересечениях. В то время как страны с

более высоким уровнем доходов предоставляют сведения о насилии в

отношении пожилых женщин, страны с более низким доходом зачастую

не включают его в свою статистику. Казахстан вновь подчеркнул

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важность интервьюеров, особенно в контексте опроса пожилых

женщин. ВОЗ сообщила об отсутствии данных о типе актов насилия и

агрессоре.

26. Особое внимание было уделено насилию в отношении женщин,

совершаемому с использованием современных технологий, — новой

тенденции, которая усилилась во время пандемии COVID, когда

большее число людей перешло в онлайн-пространство.

IV. Заключение

27. Рабочее совещание завершилось выражением признательности

международным партнерам за их активное участие в поддержке стран.

Страны выразили готовность продолжать работу по итогам пилотных

исследований в области гендерных аспектов торговли и проводить

обследования по проблеме насилия в отношении женщин.

28. По мнению участников, рабочее совещание предоставило ценную

возможность для обмена знаниями и знаниями и опытом. Сочетание

презентаций приглашенных экспертов, обмена национальным опытом

стран, представляемых участниками рабочего совещания, и

рекомендаций международных партнеров получило высокую оценку.

  • Доклад
  • I. Участники
  • II. Организация
  • III. Протокол рабочего совещания
  • IV. Заключение