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ABSTRACT - The European One-Stop-Shop for Artificial Intelligence and Machine Learning for Official Statistics (AIML4OS): WP8 Use Case focused on data editing. Steffen Moritz (Destatis)

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English

1

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

15 April 2024

The European One-Stop-Shop for Artificial Intelligence and Machine Learning for Official Statistics (AIML4OS): WP8 Use Case focused on data editing

Steffen Moritz, Florian Dumpert & Katja Bürk (Destatis, Germany) [email protected] Abstract The AIML4OS project, a strategic initiative within the European Statistical System (ESS), aims to advance AI/ML in the production of official statistics. This four-year project involves a consortium of 14 countries, including 13 Member States and Norway, to develop innovative solutions and use cases for AI/ML-based statistical production. This talk provides an overview of the structure and early work in Work Package 8 (WP8), which focuses on leveraging AI/ML to enhance automation, efficiency, and quality in data editing. The work package primarily focuses on the error detection (e.g., outlier detection) and error localization aspects of data editing. This complements WP9, which focuses on error correction through imputation. WP8 aims to explore practical examples and the impact of AI/ML on workloads in statistical offices. By developing and analyzing diverse approaches for different dataset types, WP8 seeks to create standardized procedures for specific scenarios. Currently, countries are in the early phase of the project, presenting their projects and ideas to each other, which provides very interesting insights. This talk will offer a brief overview of these developments.

  • The European One-Stop-Shop for Artificial Intelligence and Machine Learning for Official Statistics (AIML4OS): WP8 Use Case focused on data editing

ABSTRACT - Organisational Aspects of Implementing ML Based Data Editing in Statistical Production. Steffen Moritz (Destatis)

Languages and translations
English

1

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

15 April 2024

Organisational Aspects of Implementing ML Based Data Editing in Statistical Production

Steffen Moritz & Sirello, Olivier [email protected] (Destatis, Germany) [email protected] Abstract The Data Editing Task Team of the UNECE Applying Data Science and Modern Methods Group (ADSaMM) explored during 2023 organizational aspects of implementing machine learning (ML) based data editing in statistical production. Despite the potential identified in the 2019-2020 High-Level Group for the Modernisation of Official Statistics (HLG-MOS) project, the adoption of ML methods for editing and imputation by statistical agencies has remained limited. Therefore, the task team chose to focus on non- methodological barriers that might hinder ML adoption. Utilizing a structured approach, the task team, that involved multiple countries, developed and refined a template for collecting and analyzing use cases from various statistical agencies. This template included detailed descriptions of the methods, challenges and lessons learned of the projects. Overall, seven completed use case templated were supplied. The analysis revealed several critical themes: motivations for adopting ML solutions, challenges in obtaining labeled data, the need for effective collaboration between business, methodological, and IT teams, the importance of domain expertise, the complexity and opacity of ML models, and issues related to IT infrastructure. The final report of the task team offers practical guidelines and recommendations to address these barriers, supported by in-depth reflections and supplementary appendices. This talk gives a short overview of the findings of the task team. By providing these insights, we aim to promote the integration of ML methods in data editing processes, thereby improving the efficiency and quality of official statistical production.

mailto:[email protected]
  • Organisational Aspects of Implementing ML Based Data Editing in Statistical Production

MWW2024_S5_Germany_Quensel-von Kalben

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English

UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE

CONFERENCE OF EUROPEAN STATISTICIANS

ModernStats World Workshop

21-22 October 2024, Geneva

Tau-Argus: Lessons learned of sharing an IT-tool in Official Statistics

Speaker: Lucas Quensel-Von Kalben, Statistisches Bundesamt (Destatis)

Author(s): Lucas Quensel-von Kalben, Statistisches Bundesamt

Abstract

Tau-Argus is a tool for statistical disclosure control used by many statistical offices in Europe and beyond. It

has a history leading back to the 1990-ies and become open-source in 2014. Because of its widespread of use

and its long history it is a prominent example for sharing a tool in the statistical community. The presentation

aims to share some of the experiences made in the past and develop some practical guidance for CSPA and its

European equivalent of shared services.

(Germany) HGV Traffic data, based on Axle load evaluation 2017

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HGV Traffic data, based on Axle load evaluation 2017 – NW 57041

General data and traffic strengths

Cross-sectional information

Name: Straelen DTV*: 31.600 Car/24h Street: A40 Share of HGV*: 32,2 % Country: North Rhine-Westphalia

Directional information

Direction 1 Direction 2 Long-distance objective: Duisburg Venlo (NL) Number of Lanes: 2 2 Lanes with AL: 1 1

Number of vehicles 2.164.773 362.424 Number of HGV 759.575 100.507 plausible days: 148 28

Abbreviations

DTV: Average daily traffic HGV: Heavy transport (trucks with/without trailers > 3.5 t zGG, semi-trailers and buses) AL: Axle load detection

1 Source: https://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/Aktuell/zaehl_aktuell_node.html

Submitted by the expert from Germany Informal document GRVA-19-09 19th GRVA, 25 June 2024

(For review during the Troy meeting 20-24 May 2024) Provisional agenda item 8(c)

Highway A40: Connecting Dutch / German Border and German Industrial Area (“Ruhrgebiet”); Duisburg having the largest Inland harbor

(Germany) Proposal for amendments to ECE/TRANS/WP.29/GRVA/2024/7

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English

Submitted by the expert from Germany Informal document GRVA-19-08

19th GRVA, 25 June 2024 (For review during the Troy meeting 20-24 May 2024)

Provisional agenda item 8(c)

Based on ECE/TRANS/WP.29/GRVA/2024/7

Based on ECE/TRANS/WP.29/GRVA/2024/7

Proposal for amendments to ECE/TRANS/WP.29/GRVA/2024/7

Proposal for a supplement new series of amendments to the 13 series of amendments to UN Regulation No. 13 (Heavy Vehicle Braking)

I. Proposal

5.1.2.4. Endurance braking system

The endurance braking system shall make it possible to maintain a constant downhill speed over a long period of time without the use of the friction brakes.

The following requirements only apply to vehicles specified in Annex 4 paragraph 1.8.1. These requirements are deemed satisfied if the relevant test requirements specified in Annex 4 paragraph 1.8. are met.

5.1.2.4.1. As an equivalent of a long period of time, a time duration of at least 12 min is deemed to be adequate.

Amend 5.1.2.4.2, to read:

5.1.2.4.2. During the time duration specified in paragraph 5.1.2.4.1. the endurance braking system shall be able to maintain an average speed of 30 km/h on a seven per cent down-gradient, at the maximum mass of the vehicle or, in the case of a motor vehicle authorized to tow an O4 trailer, at the maximum mass of the vehicle combination, but not exceeding 44 tonnes.

However, for vehicles in which the energy is absorbed by the braking action of the engine alone, the tolerance on the average speed, as specified in Annex 4 paragraph 1.8.2.3., shall be applied.

5.1.2.4.3. Special requirements applicable endurance braking system incorporating electric regenerative braking systems

[…]

Insert new paragraphs 12.9., 12.9.1. to 12.9.7., to read:

“12.9. Transitional provisions applicable to the 14 series of amendments

12.9.1 As from the official date of entry into force of the 14 series of amendments, no Contracting Party applying this Regulation shall refuse to grant or refuse to accept type approvals under this Regulation as amended by the 14 series of amendments.

12.9.2. As from 1 September 2029, Contracting Parties applying this Regulation shall not be obliged to accept type approvals to the preceding series of amendments, first issued after 1 September 2029.

12.9.3. Until 1 September 2030, Contracting Parties applying this Regulation shall accept type approvals to the preceding series of amendments, first issued before 1 September 2029.

12.9.4. As from 1 September 2030, Contracting Parties applying this Regulation shall not be obliged to accept type approvals issued to the preceding series of amendments to this Regulation.

12.9.5. Notwithstanding paragraph 12.9.4., Contracting Parties applying this Regulation shall continue to accept type approvals issued according to the preceding series of amendments to this Regulation, for the vehicles which are not affected by the changes introduced by the 14 series of amendments.

12.9.6. Contracting Parties applying this Regulation may grant type approvals according to any preceding series of amendments to this Regulation.

12.9.7. Contracting Parties applying this Regulation shall continue to grant extensions of existing approvals to any preceding series of amendments to this Regulation.”

Annex 4, paragraph 1.8.1.2., amend to read:

“1.8. Type-IIA test (endurance braking performance)

1.8.1. Vehicles of the following categories shall be subject to the Type-IIA test:

1.8.1.1. Vehicles of category M3, belonging to Classes II, III or B as defined in the Consolidated Resolution on the Construction of Vehicles (R.E.3).

1.8.1.2. Vehicles of category N3 which are authorized to tow a trailer of category O4. If the maximum mass exceeds 26 tonnes, the test mass is limited to 26 tonnes or, in the case where the unladen mass exceeds 26 tonnes, this mass is to be taken into account by calculation.

1.8.1.3. Certain vehicles subject to ADR (see Annex 5).”

Annex 4, paragraph 1.8.2.1., amend to read:

“1.8.2.1. The performance of the endurance braking system shall be tested at the maximum mass of the vehicle or, in the case of a motor vehicle authorized to tow an O4 trailer, at the maximum mass of the vehicle combination but not exceeding 44 tonnes, as relevant to demonstrate the performance specified in paragraph 5.1.2.4. of this Regulation.

If the maximum mass of a motor vehicle of category N3 which is authorized to tow a trailer and which is not subject to ADR (see Annex 5) exceeds 26 tonnes, the test mass of this motor vehicle of category N3 shall be 26 tonnes, for practical reasons. In the case where the unladen mass of this motor vehicle of category N3 exceeds 26 tonnes, this mass is to be taken into account by calculation.

For vehicles specified in paragraph 1.8.1.2. of this Annex, if the maximum mass of the towing vehicle exceeds 26 tonnes, the test mass may be limited to 26 tonnes or, in the case where the unladen mass exceeds 26 tonnes, this mass may be taken into account by calculation.”

II. Justification / industry comments

1. Test provisions have been shifted from the scope, paragraph 1.8.1. and its subparagraphs, to the section describing the test conditions, paragraph 1.8.2. and its subparagraphs.

2. The original text of the regulation, with regard to the mass to be tested, could potentially be misinterpreted.

3. The endurance brake, braking only the towing vehicle, but not acting on the trailer, must withstand the mass of the full vehicle combination in order to ensure traffic safety. The test therefore needs to cover the mass of the combination, not just the mass of the towing vehicle.

4. To clarify that, the test mass of vehicles authorized to tow trailer(s) of Category O4 shall be tested with the mass of the whole combination.

The proposal from Germany is not only a clarification of the text, but an increase of the required performance, which justifies the need for a new series of amendment, with sufficient transitional provisions to adapt the production to the new requirements.

III. Justification of the proposed changes by industry / German comments

1. General comments

a. There indeed may be different interpretation when it comes to non-ADR N3 vehicle authorized to tow an O4 trailer. It may be understood that the required performance is limited to either 26t with the maximum mass of the towing vehicle, or 44t with the maximum mass of the combination.

b. The first interpretation above (performance limited to 26t with the maximum mass of the towing vehicle) is broadly accepted by the TAAs. OICA is actually not aware of any TAA not accepting this interpretation.

c. The Type-IIA requirements are in place in the regulation for more than 30 years in the Brake regulation, without changes. Industry is not aware of any safety issue in the field. The logic would be to keep the requirements as they are and improve the wording such that it reflects current interpretation.

d. However, industry can understand if there would be a strong will from GRVA to increase performance to the level of the more stringent interpretation of current text. Only for that purpose, industry prepared the proposal above, which aims at improving the wording of the proposal from Germany.

2. Detailed justifications of the proposed changes

a. Amendment to 5.1.2.4.2. in the body of the regulation: current proposal from Germany is specifying the performance requirements based on the test requirements, which may create similar confusion as today when it comes to whether the limitation of the test mass to 26 tonnes also limits the performance itself.

As an alternative, industry suggests to amend the paragraph 5.1.2.4. of the body of the regulation, which defines the performance requirements of the endurance braking system, without ambiguity on the fact that the required performance is not depending on the test mass specified in Annex 4, paragraph 1.8.2.1.

b. No change is needed to German proposal in 1.8.1.2. The deletion of references to the test in the “scope” section 1.8.1.2. is a good way to prevent future unclarities.

c. Paragraph 1.8.2.1. is modified in order to avoid duplicating other parts of the text (with a risk that a slightly different wording creates unclarities): the proposed modifications are now directly referencing the relevant paragraphs:

· paragraph 5.1.2.4. for the required performance,

· paragraph 1.8.1.2. for the scope.

3. Justification for a new series of amendment

a. Industry does have a need for a new series of amendment, given the increase of the performance requirement of the endurance braking system.

b. Proposed dates for the transitional provisions of this new series 14 are 2029 for New Type (NT) and 2030 for All types (AT).

c. These dates are consistent with the on-going series 12 (NT 2024, AT 2026) and 13 (NT 2026, AT 2028), which sets an intense pace for the product modifications of the braking system for heavy commercial vehicles.

d. The proposed dates are also consistent with the amount of work needed to adapt the production:

i. The performance requirement of the endurance braking system is a major technical parameter to dimension the complete power-train of the vehicle. An increase of the performance requirement may require a re-design of vehicle powertrains, cooling concepts and/or battery concepts (BEV) depending on the chosen technical solution which the current regulation allows.

ii. The design of drivelines, validations (in terms of retardation capacity, brio of the engine, fuel consumption etc.), calculation methods, product documentation, certification files, supply logistics, commercial offer and argumentation, after-market documentation are structured around the combination of those parameters, with thousands of possibilities.

iii. Any amendment to the type IIA requirements needs careful consideration. The proposed changes to the requirements will have heavy consequences on certifications and product definition.

4. Comments from Germany

i. Germany welcomes the modifications as proposed by OICA.

ii. The regulation shall reflect current and future real-world performance safety needs.

iii. Traffic data from Germany highways demonstrate that the majority of heavy duty vehicles are 2 axle towing vehicles, towing 2 or 3 axle trailers and having total combination weights in between 38 and 42 tonnes. The requested clarification / adaption with regard to the performance requirements is expected to be appropriate.

Important note

Industry is seeking for guidance from GRVA on how to coordinate this new series of amendment with the needed new series for Electrical Braking (e.g. EMB) (with its associated amendment to the CEL Annex). It should be avoided that the approval of a vehicle with electrical braking would automatically lead to a requirement to fulfil the new type-IIA requirements as specified above.

IV. Justification of the proposed changes to GRVA 18-46 by Germany

a. Amendment to 1.8.2.1.: This test specification is no longer in accordance with the general requirements, now given in 5.1.2.4. Paragraph 5.1.2.4.2 requests that combinations need to fulfil the TYPE IIA up to their maximum total weight, but not exceeding 44 tonnes. It is therefore proposed to delete the second paragraph of 1.8.2.1

4

3

Submitted by the expert from Germany Informal document GRVA-19-08 19th GRVA, 25 June 2024

(For review during the Troy meeting 20-24 May 2024)

Provisional agenda item 8(c)

Proposal for amendments to ECE/TRANS/WP.29/GRVA/2024/7

Proposal for a supplement new series of amendments to the 13 series of amendments to UN Regulation No. 13 (Heavy Vehicle Braking)

I. Proposal 5.1.2.4. Endurance braking system

The endurance braking system shall make it possible to maintain a constant downhill speed over a long period of time without the use of the friction brakes.

The following requirements only apply to vehicles specified in Annex 4 paragraph 1.8.1. These requirements are deemed satisfied if the relevant test requirements specified in Annex 4 paragraph 1.8. are met.

5.1.2.4.1. As an equivalent of a long period of time, a time duration of at least 12 min is deemed to be adequate.

Amend 5.1.2.4.2, to read:

5.1.2.4.2. During the time duration specified in paragraph 5.1.2.4.1. the endurance braking system shall be able to maintain an average speed of 30 km/h on a seven per cent down-gradient, at the maximum mass of the vehicle or, in the case of a motor vehicle authorized to tow an O4 trailer, at the maximum mass of the vehicle combination, but not exceeding 44 tonnes.

However, for vehicles in which the energy is absorbed by the braking action of the engine alone, the tolerance on the average speed, as specified in Annex 4 paragraph 1.8.2.3., shall be applied.

5.1.2.4.3. Special requirements applicable endurance braking system incorporating electric regenerative braking systems

[…]

Insert new paragraphs 12.9., 12.9.1. to 12.9.7., to read:

“12.9. Transitional provisions applicable to the 14 series of amendments

12.9.1 As from the official date of entry into force of the 14 series of amendments, no Contracting Party applying this Regulation shall refuse to grant or refuse to accept type approvals under this Regulation as amended by the 14 series of amendments.

12.9.2. As from 1 September 2029, Contracting Parties applying this Regulation shall not be obliged to accept type approvals to the preceding series of amendments, first issued after 1 September 2029.

12.9.3. Until 1 September 2030, Contracting Parties applying this Regulation shall accept type approvals to the preceding series of amendments, first issued before 1 September 2029.

12.9.4. As from 1 September 2030, Contracting Parties applying this Regulation shall not be obliged to accept type approvals issued to the preceding series of amendments to this Regulation.

12.9.5. Notwithstanding paragraph 12.9.4., Contracting Parties applying this Regulation shall continue to accept type approvals issued according to the

Based on ECE/TRANS/WP.29/GRVA/2024/7

2

preceding series of amendments to this Regulation, for the vehicles which are not affected by the changes introduced by the 14 series of amendments.

12.9.6. Contracting Parties applying this Regulation may grant type approvals according to any preceding series of amendments to this Regulation.

12.9.7. Contracting Parties applying this Regulation shall continue to grant extensions of existing approvals to any preceding series of amendments to this Regulation.”

Annex 4, paragraph 1.8.1.2., amend to read:

“1.8. Type-IIA test (endurance braking performance)

1.8.1. Vehicles of the following categories shall be subject to the Type-IIA test:

1.8.1.1. Vehicles of category M3, belonging to Classes II, III or B as defined in the Consolidated Resolution on the Construction of Vehicles (R.E.3).

1.8.1.2. Vehicles of category N3 which are authorized to tow a trailer of category O4. If the maximum mass exceeds 26 tonnes, the test mass is limited to 26 tonnes or, in the case where the unladen mass exceeds 26 tonnes, this mass is to be taken into account by calculation.

1.8.1.3. Certain vehicles subject to ADR (see Annex 5).”

Annex 4, paragraph 1.8.2.1., amend to read:

“1.8.2.1. The performance of the endurance braking system shall be tested at the maximum mass of the vehicle or, in the case of a motor vehicle authorized to tow an O4 trailer, at the maximum mass of the vehicle combination but not exceeding 44 tonnes, as relevant to demonstrate the performance specified in paragraph 5.1.2.4. of this Regulation.

If the maximum mass of a motor vehicle of category N3 which is authorized to tow a trailer and which is not subject to ADR (see Annex 5) exceeds 26 tonnes, the test mass of this motor vehicle of category N3 shall be 26 tonnes, for practical reasons. In the case where the unladen mass of this motor vehicle of category N3 exceeds 26 tonnes, this mass is to be taken into account by calculation.

II. Justification / industry comments 1. Test provisions have been shifted from the scope, paragraph 1.8.1. and its

subparagraphs, to the section describing the test conditions, paragraph 1.8.2. and its subparagraphs.

2. The original text of the regulation, with regard to the mass to be tested, could potentially be misinterpreted.

3. The endurance brake, braking only the towing vehicle, but not acting on the trailer, must withstand the mass of the full vehicle combination in order to ensure traffic safety. The test therefore needs to cover the mass of the combination, not just the mass of the towing vehicle.

4. To clarify that, the test mass of vehicles authorized to tow trailer(s) of Category O4 shall be tested with the mass of the whole combination.

The proposal from Germany is not only a clarification of the text, but an increase of the required performance, which justifies the need for a new series of amendment, with sufficient transitional provisions to adapt the production to the new requirements.

Based on ECE/TRANS/WP.29/GRVA/2024/7

3

III. Justification of the proposed changes by industry / German comments 1. General comments

a. There indeed may be different interpretation when it comes to non-ADR N3 vehicle authorized to tow an O4 trailer. It may be understood that the required performance is limited to either 26t with the maximum mass of the towing vehicle, or 44t with the maximum mass of the combination.

b. The first interpretation above (performance limited to 26t with the maximum mass of the towing vehicle) is broadly accepted by the TAAs. OICA is actually not aware of any TAA not accepting this interpretation.

c. The Type-IIA requirements are in place in the regulation for more than 30 years in the Brake regulation, without changes. Industry is not aware of any safety issue in the field. The logic would be to keep the requirements as they are and improve the wording such that it reflects current interpretation.

d. However, industry can understand if there would be a strong will from GRVA to increase performance to the level of the more stringent interpretation of current text. Only for that purpose, industry prepared the proposal above, which aims at improving the wording of the proposal from Germany.

2. Detailed justifications of the proposed changes

a. Amendment to 5.1.2.4.2. in the body of the regulation: current proposal from Germany is specifying the performance requirements based on the test requirements, which may create similar confusion as today when it comes to whether the limitation of the test mass to 26 tonnes also limits the performance itself.

As an alternative, industry suggests to amend the paragraph 5.1.2.4. of the body of the regulation, which defines the performance requirements of the endurance braking system, without ambiguity on the fact that the required performance is not depending on the test mass specified in Annex 4, paragraph 1.8.2.1.

b. No change is needed to German proposal in 1.8.1.2. The deletion of references to the test in the “scope” section 1.8.1.2. is a good way to prevent future unclarities.

c. Paragraph 1.8.2.1. is modified in order to avoid duplicating other parts of the text (with a risk that a slightly different wording creates unclarities): the proposed modifications are now directly referencing the relevant paragraphs:

• paragraph 5.1.2.4. for the required performance, • paragraph 1.8.1.2. for the scope.

3. Justification for a new series of amendment

a. Industry does have a need for a new series of amendment, given the increase of the performance requirement of the endurance braking system.

b. Proposed dates for the transitional provisions of this new series 14 are 2029 for New Type (NT) and 2030 for All types (AT).

c. These dates are consistent with the on-going series 12 (NT 2024, AT 2026) and 13 (NT 2026, AT 2028), which sets an intense pace for the product modifications of the braking system for heavy commercial vehicles.

d. The proposed dates are also consistent with the amount of work needed to adapt the production:

i. The performance requirement of the endurance braking system is a major technical parameter to dimension the complete power-train of the vehicle. An increase of the performance requirement may require a re-design of vehicle powertrains, cooling concepts and/or battery concepts (BEV)

Based on ECE/TRANS/WP.29/GRVA/2024/7

4

depending on the chosen technical solution which the current regulation allows.

ii. The design of drivelines, validations (in terms of retardation capacity, brio

of the engine, fuel consumption etc.), calculation methods, product documentation, certification files, supply logistics, commercial offer and argumentation, after-market documentation are structured around the combination of those parameters, with thousands of possibilities.

iii. Any amendment to the type IIA requirements needs careful consideration. The proposed changes to the requirements will have heavy consequences on certifications and product definition.

4. Comments from Germany

i. Germany welcomes the modifications as proposed by OICA. ii. The regulation shall reflect current and future real-world performance

safety needs. iii. Traffic data from Germany highways demonstrate that the majority of

heavy duty vehicles are 2 axle towing vehicles, towing 2 or 3 axle trailers and having total combination weights in between 38 and 42 tonnes. The requested clarification / adaption with regard to the performance requirements is expected to be appropriate.

Important note

Industry is seeking for guidance from GRVA on how to coordinate this new series of amendment with the needed new series for Electrical Braking (e.g. EMB) (with its associated amendment to the CEL Annex). It should be avoided that the approval of a vehicle with electrical braking would automatically lead to a requirement to fulfil the new type-IIA requirements as specified above.

IV. Justification of the proposed changes to GRVA 18-46 by Germany

a. Amendment to 1.8.2.1.: This test specification is no longer in accordance with the general requirements, now given in 5.1.2.4. Paragraph 5.1.2.4.2 requests that combinations need to fulfil the TYPE IIA up to their maximum total weight, but not exceeding 44 tonnes. It is therefore proposed to delete the second paragraph of 1.8.2.1

Presentation

Languages and translations
English

Estimating labour force participation of refugees by statistical matching of administrative and survey data

destatis.de

Administrative data on residence status

25.01.2021Federal Statistical Office (Destatis) 2

Why statistical matching?

0.0

1.0

2.0

3.0

4.0

5.0

6.0

0

500

1000

1500

2000

2500

3000

3500 x

10 00

People seeking protection by protection status

status denied

status recognized

status pending

% of population

Source: Central Register of Foreigners (CRF)

destatis.de

Survey data on employment rates of immigrants

25.01.2021Federal Statistical Office (Destatis) 3

Why statistical matching?

0

10

20

30

40

50

60

70

80

90

100

< 5 years 5 - 10 years 10 - 15 years 15 - 20 years

from middle east countries by duration of stay

female

male

0

10

20

30

40

50

60

70

80

90

100

< 5 years 5 - 10 years 10 - 15 years 15 - 20 years

from EU countries by duration of stay

female

male

Source: Microcensus (MC)

% employed % employed

duration of stayduration of stay

destatis.de

…

25.01.2021Federal Statistical Office (Destatis) 4

What is statistical matching?

Record Linkage

Statistical Matching

PIN probabilistic parametricnon- parametric

Tree-Based

Hot-Deck

…

ANN

SVM

destatis.de

…

25.01.2021Federal Statistical Office (Destatis) 5

What is statistical matching?

Record Linkage

Statistical Matching

PIN probabilistic parametricnon- parametric

Tree-Based

Hot-Deck

…

ANN

SVM

Machine Learning

destatis.de

25.01.2021Federal Statistical Office (Destatis) 6

What is statistical matching?

Donor Recipient Synthetic Dataset

SCRC SR

R: Refugee Status

R: Imputed Refugee Status

C: Common Variables

S: Socioeconomic Variables

destatis.de

25.01.2021Federal Statistical Office (Destatis) 7

Statistical matching process

Training

Validation

Model

Multiple Imputation

Rubin (1987) combining rules

Donor

Recipient

Synthetic Dataset

&#x1d443;&#x1d456; &#x1d445;&#x1d456; &#x1d436;&#x1d456;)

K-Fold Cross-Validation

R1C E

R2C E

…

TP

FP

FN

TN

1 0 1

0

destatis.de

25.01.2021Federal Statistical Office (Destatis) 8

• Assumption of conditional independence

P S, R C) = P S C) P R C)

Evaluating the estimation model

destatis.de

25.01.2021Federal Statistical Office (Destatis) 9

• Model: C5.0 boosted regression tree

• Explanatory power:

Evaluating the estimation model

Confusion Matrix True Status

refugee no refugee

Prediction refugee 141 000 43 000

no refugee 44 000 935 000

• Accuracy = 0.93 • Precision = 0.77 • Recall = 0.76

destatis.de

25.01.2021Federal Statistical Office (Destatis) 10

Evaluating the synthetic dataset

Male: Hellinger distance 0.035 and Kolmogorov-Smirnov [p-value] 0.322

Female: Hellinger distance 0.037 and Kolmogorov-Smirnov [p-value] 0.124

male female

percentage

ag e

Donor Synthetic Dataset

percentage

Hellinger distance 0.114 and Kolmogorov-Smirnov [p-value] 0.292

year of immigration

pe rc

en ta

ge

Donor Synthetic data set

Evaluating reproduction of key distributions

destatis.de

% employed

0

10

20

30

40

50

60

70

80

< 1 2 3 4 5 6 ≥ 7

Note: The graph depicts the predicted percentage of people seeking humanitarian protection between age 18 and 65 who are employed according to the ILO-concept of employment. Error bars indicate 95 % confidence intervals. The results of the refugee survey refer to Brücker et al. (2023) available online.

Note: The graph depicts the predicted percentage of people seeking humanitarian protection between age 18 and 65 who are employed according to the ILO-concept of employment. Error bars indicate 95 % confidence intervals. The results of the refugee survey refer to Brücker et al. (2023) available online.

% employed

0

10

20

30

40

50

60

70

80

< 1 2 3 4 5 6 ≥ 7

duration of stay - years

total

25.01.2021Federal Statistical Office (Destatis) 11

External Validation

male

female

duration of stay - years

Employment rates for refugees

https://doku.iab.de/kurzber/2023/kb2023-13.pdf
https://doku.iab.de/kurzber/2023/kb2023-13.pdf

destatis.de

25.01.2021Federal Statistical Office (Destatis) 12

External Validation

male

female

duration of stay - years

Note: The graph depicts the predicted percentage of people seeking humanitarian protection between age 18 and 65 who are employed according to the ILO-concept of employment. Error bars indicate 95 % confidence intervals. The results of the refugee survey refer to Brücker et al. (2023) available online.

% employed

0

10

20

30

40

50

60

70

80

< 1 2 3 4 5 6 ≥ 7

duration of stay - years

refugee survey

total

0

10

20

30

40

50

60

70

80

< 1 2 3 4 5 6 ≥ 7

% employed

Note: The graph depicts the predicted percentage of people seeking humanitarian protection between age 18 and 65 who are employed according to the ILO-concept of employment. Error bars indicate 95 % confidence intervals. The results of the refugee survey refer to Brücker et al. (2023) available online.

refugee survey

Employment rates for refugees

https://doku.iab.de/kurzber/2023/kb2023-13.pdf
https://doku.iab.de/kurzber/2023/kb2023-13.pdf

destatis.de

25.01.2021Federal Statistical Office (Destatis) 13

• Statistical matching produces results …

• quickly, at low costs and without response burden

• but with additional uncertainty

• Publication as experimental statistic

Conclusion

Contact Marieke Smilde-Becker [email protected]

Jan Eberle [email protected]

  • Slide 1: Estimating labour force participation of refugees
  • Slide 2: Why statistical matching?
  • Slide 3: Why statistical matching?
  • Slide 4: What is statistical matching?
  • Slide 5: What is statistical matching?
  • Slide 6: What is statistical matching?
  • Slide 7: Statistical matching process
  • Slide 8: Evaluating the estimation model
  • Slide 9: Evaluating the estimation model
  • Slide 10: Evaluating the synthetic dataset
  • Slide 11: External Validation
  • Slide 12: External Validation
  • Slide 13: Conclusion
  • Slide 14: Contact

Recording of Data in the German National Accounts

Recording of Data in the German National Accounts

Languages and translations
English

Recording of Data in the German National Accounts Meeting of the Group of Experts on National Accounts

23-25 April 2024

Benedikt Kuckelkorn

destatis.deRecording of Data in the German National Accounts

Source: The Economist

23.04.2024Federal Statistical Office (Destatis) 2

Introduction Rapidly expanding

volumes of data expenditures spent on recording data

→Need for NA to explicitly reflect investments in data → Recording data as an asset part of SNA 2025

revision. Recommendations by DITT in Guidance Note DZ.06

First feasibility study by Destatis 2023

Follow-up project currently ongoing

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 3

Data is “information content that is produced by accessing and observing phenomena; and recording, organizing and storing information elements from these phenomena in a digital format, which provide an economic benefit when used in productive activities.”

- Separate asset category “Data and Databases”

- Only data that provides an economic benefit when used in the productive activities should be included

- Own account production

- is considered as capital formation

- Should be valued at sum of cost

Data as an asset in GN DZ.06

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 4

Estimation of GFCF in data

Number of employees Involvement

Rate

Gross earnings Mark-Up

Structure of Earnings survey

Microcensus

Classification of occupations

Data Output

Production on own-account

destatis.deRecording of Data in the German National Accounts

Purchased data

23.04.2024Federal Statistical Office (Destatis) 5

No data sources available

→Necessary assumption: data assets are purchased on exclusive agreements

→ Allows estimation of total data assets in the economy as:

Absent better information, exports and imports of IT services as approximation

Estimation of GFCF in data

Data Output Data ExportsData Imports Investment in

Data

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 6

Calculated using Perpetual Inventory Method

Requirement: Retirement and depreciation profiles and average service lives (ASL)

- Test of multiple specifications:

- Straight-line depreciation in combination with a bell-shaped retirement function

Density function of the gamma distribution

- Geometric depreciation method

- ASL of 2, 5, 10 years

Depreciation and Capital Stocks of Data Assets

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 7

Results

0

20

40

60

80

100

120

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

bn . €

GFCF in Data

GFCF in Data (high involvement) GFCF in Data (low involvement)

0

100

200

300

400

500

600

700

800

900

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

bn . €

GFCF with and without Data

GFCF without Data GFCF incl. Data (low involvement) GFCF incl. Data (high involvement)

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 8

Results

0

20

40

60

80

100

120

140

160

180

200

2011 2012 2013 2014 2015 2016 2017 2018

bn . €

Net Capital Stock, ASL = 5

Linear DDB DBR

0

10

20

30

40

50

60

70

80

2011 2012 2013 2014 2015 2016 2017 2018

bn . €

Consumption of Fixed Capital, ASL = 5

Linear DDB DBR

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 9

Results

-0,50%

-0,40%

-0,30%

-0,20%

-0,10%

0,00%

0,10%

0,20%

0,30%

0,40%

-8,00%

-6,00%

-4,00%

-2,00%

0,00%

2,00%

4,00%

6,00%

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

Impact of Data on GDP Growth

GDP Growth Rate (incl. Data) GDP Growth Rate Difference

0

500

1000

1500

2000

2500

3000

3500

4000

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

bn . €

Impact of Data on GDP in Current Prices

GDP (current prices) GDP incl. Data (current prices)

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 10

- Alternative estimation of involvement rates using ESCO skills-occupation matrix

- Identify relevant skills and competencies for data producing jobs

- Automatically assign involvement rate based on number of relevant skills and number of number of required skills

- Still work in progress

Way forward at Destatis

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 11

❖ Evaluation of possibilities to survey expenditures on data

❖ Further development of appropriate price indices

❖ How to record copies

❖ Treatment of data purchases in data-intensive industries

Way forward at Destatis

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 12

❖ Especially involvement rates drive magnitude of results without any statistical basis

❖ High degree of freedom and potentially high impact of recording data assets can damage international comparability of NA results

→Without harmonization efforts inclusion of data assets could hurt the role of GDP/GNI in policy discussion

❖ Concerns on validity of measurement method, economic importance of data inherently driven by advances in soft- and hardware. Measurement approach based on labour input seems counterintuitive.

Conclusion

destatis.deRecording of Data in the German National Accounts

23.04.2024Federal Statistical Office (Destatis) 13

❖ How can an estimation model based on labour input measure the dynamics of an asset mainly driven by automatisation?

❖ How to measure quarterly investment in data without distorting quarterly NA results?

❖ How can we correctly assign economic ownership of data assets in internationally active MNE groups?

❖ Are there alternatives to the sum of cost approach feasible for NA purposes?

Open Questions

Thank you for your attention!

Statistisches Bundesamt 65180 Wiesbaden Germany

Contact Person Benedikt Kuckelkorn [email protected] Phone +49 611 75-3852

www.destatis.de

www.destatis.de/kontakt

Just Transition in Coal Regions of Germany - case study of Lausatia, by Mr. Hans Rüdiger Lange, UNECE International Consultant

Languages and translations
English

Just Transition Case Study Lusatia Germany

1

Race of Speed Climate change vs Adaptation

Race of Speed Climate change vs Adaptation

The experience I want to share with you so that we can learn together ...

Lusatia Case

2015 2021

re gi

on al

w ea

lth

2038

Crisis-Response-Ecosystem-Adaptation-Curve (CREA)

Source: HR Lange

2

Intense conflicts between workers, the region and the central state as well as public opinion

3

Case Study Lusatia Phase I

2015 2021

re gi

on al

w ea

lth

2038

Crisis-Response-Ecosystem-Adaptation-Curve (CREA)

Source: HR Lange

Lusatia Case

Phase I: Regional entrepreneurial transformation process (RETP)

dialogue &

analysis

projects &

markets

innovation system

• Growth projects entrepreneurs, revenue- or employee growth in 5 years

• Workshops– focus on strategy, products and business models of firms

• Growth potentials – emerging as a combination of several projects

• Starting point and boundary conditions for structural change

• Studies, structured interviews with actors and stakeholders

• Cooperation with researchers, experts and other regions.

• Regional organization – a regional coordination and strategy for the region

• Initiatives to strengthen the innovation system – infrastructure, institutes, incubator etc.

• Capital for company projects, initiatives and Analyses

? X X

X 1 2 3 developsearchunderstand

Lusatia Case – Practice Mission (2016)

1. Develop a strategy for the region in order to address the challenge of transformation

2. Help the affected firms of the industrial cluster in their adaptation through strategy consulting and workshops

3. Identify and promote strategic projects for the region

Networking and cooperation

Source:HR Lange, M Tomenendal, adapted from Geels (2011) - Multi-Level Perspective on Socio-Economic Transformations

Increasing structuration of activities in local practices

Time

Socio-technical landscape (exogenous context)

Socio-technical regime (regional specialization)

Niche innovations

Small networks of actors support novelties on the basis of expectations and visions. Learning processes take place on multiple dimensions (co-construction). Efforts to link different elements in a seamless web.

External influences on niches (via expectations and networks)

Landscape developments put pressure on existing regime,

which opens up, creating windows of opportunity for novelties

Elements become aligned, and stabilise in a dominant design.

Internal momentum increases.

New configuration breaks through, taking advantage of ‘windows of opportunity’.

New Ecosystem influences landscape

Policy

Finance

Culture

Markets

Human Capital

Sup- ports

Markets, user preferences

Industry

Policy

Technology

Science

Culture

Strategy Development – Theory Matters Build Appropriate Theoretical Understanding

Buffalo, New York Dortmund, Deutschland

Malmö, Schweden

Oulu, Finnland Manchester, GB

Source: H.R. Lange, Brandenburgische Technische Universität (unpublished)

Strategy Development - in depth analysis International, Selected Case Studies

Strategy Development - in depth analysis Structural analysis of the target region Lusatia

Source: own research, Bundesministerium für Wirtschaft (RWI Study, 2017)

Patents / Mio. inhabitants

60

205 230

Research Spending % of GDP

0,5 1,04

2,01

0,34 0,86

1,32 R&D Personal / Total Employment

Lusatia Rheinland

Leipzig

Analysis of Competitiveness Innovation Indicators

Competing Mining

Regions

Direct and Indirect Employments in the Disrupted Sector (Lusatia 2013) Direct 7.430

Indirect 7.158

4.953

2.477

2.677

1.864

1.689 384

14.581

TechnologyBuilding Works

Services and Logistics

Mining Metal works

537 Power Plant

Total Other

Strategy Development - in depth analysis Detailed Capability Analysis

Source: H.R. Lange, Brandenburgische Technische Universität (unpublished)

Result: The Regional Entrepreneurial Transformation Process (RETP)

dialogue &

analysis

projects &

markets

innovation system

• Growth projects entrepreneurs, revenue- or employee growth in 5 years

• Workshops– focus on strategy, products and business models of firms

• Growth potentials – emerging as a combination of several projects

• Starting point and boundary conditions for structural change

• Studies, structured interviews with actors and stakeholders

• Cooperation with researchers, experts and other regions.

• Regional organization – a regional coordination and strategy for the region

• Initiatives to strengthen the innovation system – infrastructure, institutes, incubator etc.

• Capital for company projects, initiatives and Analyses

? X X

X 1 2 3 developsearchunderstand

H.R. Lange, M. Tomenendal (2017).

3

Case Study Lusatia Phase II

2015 2021

re gi

on al

w ea

lth

2038

Crisis-Response-Ecosystem-Adaptation-Curve (CREA)

Source: HR Lange

Lusatia Case

Regional entrepreneurial transformation process (RETP)

dialogue &

analysis

projects &

markets

innovation system

• Growth projects entrepreneurs, revenue- or employee growth in 5 years

• Workshops– focus on strategy, products and business models of firms

• Growth potentials – emerging as a combination of several projects

• Starting point and boundary conditions for structural change

• Studies, structured interviews with actors and stakeholders

• Cooperation with researchers, experts and other regions.

• Regional organization – a regional coordination and strategy for the region

• Initiatives to strengthen the innovation system – infrastructure, institutes, incubator etc.

• Capital for company projects, initiatives and Analyses

? X X

X 1 2 3 developsearchunderstand

LausitzLab

ESMT Training & Partners

• Kasachstan / GIZ / Czech / ESMT (!!)

Hackathons / Summer Academy

A new DNA of cooperation

Over 100 innovation projects from Bio-Food to Block-Chain-Energy-Contracts elaborated. Over 400 participants, over 100 firms have taken part in our workshops.

Regional Entrepreneurial Transformation Process (RETP)

5 strategical initiatives

Ø 100 initiated projects

29 + 12 structured interviews

6 potential growth markets

2016 2017

1 2 3 developsearchunderstand

2018

4

Case Study Lusatia Phase III

2015 2021

re gi

on al

w ea

lth

2038

Crisis-Response-Ecosystem-Adaptation-Curve (CREA)

Source: HR Lange

Lusatia Case

Regional entrepreneurial transformation process (RETP)

dialogue &

analysis

projects &

markets

innovation system

• Growth projects entrepreneurs, revenue- or employee growth in 5 years

• Workshops– focus on strategy, products and business models of firms

• Growth potentials – emerging as a combination of several projects

• Starting point and boundary conditions for structural change

• Studies, structured interviews with actors and stakeholders

• Cooperation with researchers, experts and other regions.

• Regional organization – a regional coordination and strategy for the region

• Initiatives to strengthen the innovation system – infrastructure, institutes, incubator etc.

• Capital for company projects, initiatives and Analyses

? X X

X 1 2 3 developsearchunderstand

State + Districts Brandenburg and Saxony Investing into the Innovation Ecosystem

• Government shut down decision of 2.7 GW (2015) • Change Management Support for regions (2017) • Kohlekommission Coal Exit 2038 (2019) • Speed Projects in every region (2020) • Kohleausstiegs- und Strukturstärkungsgesetz (2020) • Regional Development Agencies established (2020) • Regional Prioritization Process for Projects started (2021)

Investment and Transformation Activities on multiple levels: Firms, Municipalities, Regions, State & EU

Jänschwalde Mine + Power Plant (central) Waste Incineration Plant

Jänschwalde Mine + Power Plant (central) „Waste Incineration Plant“

Jänschwalde Mine + Power Plant (decentral) „From Maintenance to Production“

Boxberg Mine + Power Plant (decentral) Shift to new markets outside mining

Conveyor systems builder

Steam Turbine Production (decentral) „Product Development & Innovation Centre“

Faleminderit – Thank you!

Invitation to share experience & Invitation to learn together

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

JQ2022DEU

JFSQ2022 Country Replies Germany

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 Germany
Contact organisation Contact organisation Thünen Institute
Contact name Contact name
Contact email address Contact email address
2 Changes to previous year
Necessity of update Are there any changes to the quality report of the last data collection? NO
If yes, please provide details below.
3 Statistical processing
Overview of the source data Please provide an overview of the sources used to produce JFSQ data.
Do you use a dedicated survey (of the industry, of households, of forest owners, etc.)? Please select YES or NO
If yes, please provide details (e.g., who are the respondents, what is its frequency?).
Do you use forestry statistics? Please select YES or NO
If yes, please provide details.
Do you use national forest inventory? Please select YES or NO
If yes, please provide details.
Do you use national PRODCOM data compiled according to the CPA classification? Please select YES or NO
If yes, please provide details (which products, units, etc.).
Do you use any other national production statistics? Please select YES or NO
If yes, please provide details.
Do you use data collected by associations of industry? Please select YES or NO
If yes, please provide details.
Do you collect data from direct contacts with manufacturing companies? Please select YES or NO
If yes, please provide details.
Do you use estimates of roundwood use (in manufacturing)? Please select YES or NO
If yes, please provide details.
Do you use national trade data? Please select YES or NO
If yes, please provide details.
Do you use felling reports? Please select YES or NO
If yes, please provide details.
Do you use forestry companies' accounting network? Please select YES or NO
If yes, please provide details.
Do you use administrative data (e.g. tax records, business registers)? Please select YES or NO
If yes, please provide details.
Do you use data from national accounts? Please select YES or NO
If yes, please provide details (e.g. for which data, from which account tables?).
Do you use SBS (Structural business statistics)? Please select YES or NO
If yes, please provide details (e.g. for which data?).
Do you use other environmental accounts? Please select YES or NO
If yes, please provide details.
Do you use other statistics (e.g. agriculture statistics)? Please select YES or NO
If yes, please specify them.
Do you use any other sources? Please select YES or NO
If yes, please specify them.
Methodological issues Are there any pending classification or measurement issues? Please select YES or NO
If yes, please specify them.
Data validation Do you check the quality of the data collected to compile JFSQ? Please select YES or NO
If yes, please explain the quality assurance procedure.
Do you compare JFSQ data with different data sources or do you perform other cross-checks? Please select YES or NO
If yes, please explain your approach.
Do you have validation rules and other plausibility checks for the outputs of your JFSQ data compilation process? Please select YES or NO
If yes, please briefly describe them.
4 Relevance
User needs Please provide references to the relevance of JFSQ at national level e.g. main users, national indicator sets, quantitative policy targets etc.
5 Coherence and comparability
Coherence - cross domain Do you compare the JFSQ results with business, energy and agricultural and foreign trade statistics? Please select YES or NO
It not, please explain.
Do you cross-check the JFSQ data with the results of European Forest Accounts? Please select YES or NO
If yes, please indicate for which reporting items, and comments on the discrepancies observed, if any. It not, please explain.
Coherence - internal Are there any other consistency issues related to your JFSQ data? Please select YES or 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)? Please select YES or 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? Please select YES or NO
If yes, please provide URLs.
Documentation on methodology Did you prepare a description of your national JFSQ methodology or metadata? Please select YES or NO
If yes, please provide URLs.
Quality documentation Do you have national quality documentation? Please select YES or 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: DE
Reference year: 2022 Fill in the year
Name of person responsible for reply:
Official address (in full): Thünen Institute, Leuschnerstr. 91, 21031 Hamburg
Telephone:
Fax:
E-mail:

Removals over bark

Country: DE Date:
Name of Official responsible for reply: 0
Check Table
Official Address (in full):
Thünen Institute, Leuschnerstr. 91, 21031 Hamburg
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 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob OK OK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob OK OK
1.1.C Coniferous 1000 m3ob 1.1.C Coniferous 1000 m3ob
1.1.NC Non-Coniferous 1000 m3ob 1.1.NC Non-Coniferous 1000 m3ob
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.C Coniferous 1000 m3ob 1.2.C Coniferous 1000 m3ob OK OK
1.2.NC Non-Coniferous 1000 m3ob 1.2.NC Non-Coniferous 1000 m3ob OK OK
1.2.NC.T of which: Tropical 1000 m3ob 1.2.NC.T of which: Tropical 1000 m3ob OK OK
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob OK OK
1.2.1.C Coniferous 1000 m3ob 1.2.1.C Coniferous 1000 m3ob
1.2.1.NC Non-Coniferous 1000 m3ob 1.2.1.NC Non-Coniferous 1000 m3ob
1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob 1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob OK OK
1.2.2.C Coniferous 1000 m3ob 1.2.2.C Coniferous 1000 m3ob
1.2.2.NC Non-Coniferous 1000 m3ob 1.2.2.NC Non-Coniferous 1000 m3ob
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.3.C Coniferous 1000 m3ob 1.2.3.C Coniferous 1000 m3ob
1.2.3.NC Non-Coniferous 1000 m3ob 1.2.3.NC Non-Coniferous 1000 m3ob
To fill: 17 17
Product Product Unit 2021 2022
Code CF CF
OVERBARK/UNDERBARK CONVERSION FACTORS
1 ROUNDWOOD (WOOD IN THE ROUGH) m3/m3 0.000 0.000
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) m3/m3 0.000 0.000
1.1.C Coniferous m3/m3 0.000 0.000
1.1.NC Non-Coniferous m3/m3 0.000 0.000
1.2 INDUSTRIAL ROUNDWOOD m3/m3 1.100 1.100
1.2.C Coniferous m3/m3 1.200 1.200
1.2.NC Non-Coniferous m3/m3 0.000 0.000
1.2.NC.T of which: Tropical m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1 SAWLOGS AND VENEER LOGS m3/m3 0.000 0.000
1.2.1.C Coniferous m3/m3 0.000 0.000
1.2.1.NC Non-Coniferous m3/m3 1.100 1.100
1.2.2 PULPWOOD, ROUND AND SPLIT m3/m3 1.200 1.200
1.2.2.C Coniferous m3/m3 0.000 0.000
1.2.2.NC Non-Coniferous m3/m3 1.100 1.100
1.2.3 OTHER INDUSTRIAL ROUNDWOOD m3/m3 1.200 1.200
1.2.3.C Coniferous m3/m3 0.000 0.000
1.2.3.NC Non-Coniferous m3/m3 1.100 1.100

JQ1 Production

Country: DE Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ1 Thünen Institute, Leuschnerstr. 91, 21031 Hamburg
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 53,530 -507,305 -1048% 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 2113 1934 -8% Solid wood equivalent
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 82,178.018 78,871.947 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK Solid Wood Demand agglomerate production 4,333 4,015 -7% 2.4
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 22,799.330 22,337.621 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK Sawnwood production 26,438 25,342 -4% 1
1.1.C Coniferous 1000 m3ub 9,095.635 8,833.851 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.1.C Coniferous 1000 m3ub veneer production 116 110 -5% 1
1.1.NC Non-Coniferous 1000 m3ub 13,703.695 13,503.770 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.1.NC Non-Coniferous 1000 m3ub plywood production 103 85 -18% 1
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 59,378.688 56,534.326 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK particle board production (incl OSB) 7,318 6,690 -9% 1.58
1.2.C Coniferous 1000 m3ub 55,494.760 52,424.742 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.C Coniferous 1000 m3ub OK OK fibreboard production 6,105 5,194 -15% 1.8
1.2.NC Non-Coniferous 1000 m3ub 3,883.928 4,109.584 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.NC Non-Coniferous 1000 m3ub OK OK mechanical/semi-chemical pulp production 756 667 -12% 2.5
1.2.NC.T of which: Tropical 1000 m3ub 0.000 0.000 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.NC.T of which: Tropical 1000 m3ub OK OK chemical pulp production 1,571 1,505 -4% 4.9
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 47,427.825 44,755.719 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub OK OK dissolving pulp production 0 0 missing data 5.7
1.2.1.C Coniferous 1000 m3ub 44,666.194 41,760.742 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.1.C Coniferous 1000 m3ub Availability Solid Wood Demand 69,197 64,133 -7%
1.2.1.NC Non-Coniferous 1000 m3ub 2,761.631 2,994.976 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.1.NC Non-Coniferous 1000 m3ub Difference (roundwood-demand) -14,358 -561,895 3814% positive = surplus
1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub 11,789.987 11,644.100 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub OK OK gap (demand/availability) -29% 113% Negative number means not enough roundwood available
1.2.2.C Coniferous 1000 m3ub 10,675.334 10,541.107 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.2.C Coniferous 1000 m3ub Positive number means more roundwood available than demanded
1.2.2.NC Non-Coniferous 1000 m3ub 1,114.653 1,102.993 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.2.NC Non-Coniferous 1000 m3ub
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 160.876 134.507 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK
1.2.3.C Coniferous 1000 m3ub 153.232 122.893 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.3.C Coniferous 1000 m3ub % of particle board that is from recovered wood 35%
1.2.3.NC Non-Coniferous 1000 m3ub 7.644 11.614 9 9 Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. Official data are underestimating domestic removals. For this national estimate we use an calculation approach based on the amount of used roundwood. 1.2.3.NC Non-Coniferous 1000 m3ub share of agglomerates produced from industrial roundwood residues 100%
PRODUCTION PRODUCTION usable industrial roundwood - amount of roundwood that is used, remainder leaves industry 98.5%
2 WOOD CHARCOAL 1000 t 30.000 30.000 9 9 2 WOOD CHARCOAL 1000 t
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 16703.191 16292.084 9 9 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 11805.134 11315.436 9 9 3.1 WOOD CHIPS AND PARTICLES 1000 m3
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 4898.058 4976.648 9 9 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3
3.2.1 of which: Sawdust 1000 m3 3.2.1 of which: Sawdust 1000 m3 OK OK
4 RECOVERED POST-CONSUMER WOOD 1000 t 8035.000 8035.000 9 9 4 RECOVERED POST-CONSUMER WOOD 1000 t
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 4333.229 4015.060 9 9 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK
5.1 WOOD PELLETS 1000 t 3353.000 3569.000 9 9 5.1 WOOD PELLETS 1000 t
5.2 OTHER AGGLOMERATES 1000 t 980.229 446.060 5.2 OTHER AGGLOMERATES 1000 t
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 26438.296 25341.588 9 9 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK
6.C Coniferous 1000 m3 25335.412 24314.052 9 9 6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3 1102.884 1027.536 9 9 6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3 2.029 3.577 9 9 6.NC.T of which: Tropical 1000 m3 OK OK
7 VENEER SHEETS 1000 m3 115.937 110.049 9 9 7 VENEER SHEETS 1000 m3 OK OK
7.C Coniferous 1000 m3 13.544 14.415 9 9 7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3 102.393 95.634 9 9 7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3 1.788 3.153 9 9 7.NC.T of which: Tropical 1000 m3 OK OK
8 WOOD-BASED PANELS 1000 m3 13525.395 11968.002 9 9 8 WOOD-BASED PANELS 1000 m3 OK OK
8.1 PLYWOOD 1000 m3 103.012 84.600 9 9 8.1 PLYWOOD 1000 m3 OK OK
8.1.C Coniferous 1000 m3 44.100 27.809 9 9 8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3 58.912 56.791 5 5 8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3 0.170 0.140 9 9 8.1.NC.T of which: Tropical 1000 m3 OK OK
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 OK OK
8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous 1000 m3
8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous 1000 m3
8.1.1.NC.T of which: Tropical 1000 m3 8.1.1.NC.T of which: Tropical 1000 m3 OK OK
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 7317.814 6689.886 9 9 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 1281.538 1163.557 9 9 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK
8.3 FIBREBOARD 1000 m3 6104.569 5193.516 9 9 8.3 FIBREBOARD 1000 m3 OK OK
8.3.1 HARDBOARD 1000 m3 0.000 0.000 9 9 8.3.1 HARDBOARD 1000 m3
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 4692.624 3791.548 9 9 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3
8.3.3 OTHER FIBREBOARD 1000 m3 1411.945 1401.968 9 9 8.3.3 OTHER FIBREBOARD 1000 m3
9 WOOD PULP 1000 t 2327.399 2171.994 9 9 9 WOOD PULP 1000 t OK OK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 755.958 666.676 9 9 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t
9.2 CHEMICAL WOOD PULP 1000 t 1571.441 1505.318 9 9 9.2 CHEMICAL WOOD PULP 1000 t OK OK
9.2.1 SULPHATE PULP 1000 t 1065.213 1017.864 9 9 9.2.1 SULPHATE PULP 1000 t
9.2.1.1 of which: BLEACHED 1000 t 1065.213 1017.864 9 9 9.2.1.1 of which: BLEACHED 1000 t OK OK
9.2.2 SULPHITE PULP 1000 t 506.228 487.454 9 9 9.2.2 SULPHITE PULP 1000 t
9.3 DISSOLVING GRADES 1000 t 0.000 0.000 9 9 9.3 DISSOLVING GRADES 1000 t
10 OTHER PULP 1000 t 15352.477 14280.498 9 9 10 OTHER PULP 1000 t OK OK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 56.477 42.498 9 9 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t
10.2 RECOVERED FIBRE PULP 1000 t 15296.000 14238.000 9 9 10.2 RECOVERED FIBRE PULP 1000 t
11 RECOVERED PAPER 1000 t 14487.498 13187.683 9 9 11 RECOVERED PAPER 1000 t
12 PAPER AND PAPERBOARD 1000 t 23127.532 21611.516 9 9 12 PAPER AND PAPERBOARD 1000 t OK OK
12.1 GRAPHIC PAPERS 1000 t 6822.530 6194.000 9 9 12.1 GRAPHIC PAPERS 1000 t OK OK
12.1.1 NEWSPRINT 1000 t 1052.197 938.978 9 9 12.1.1 NEWSPRINT 1000 t
12.1.2 UNCOATED MECHANICAL 1000 t 1808.782 1680.538 9 9 12.1.2 UNCOATED MECHANICAL 1000 t
12.1.3 UNCOATED WOODFREE 1000 t 1447.551 1327.085 9 9 12.1.3 UNCOATED WOODFREE 1000 t
12.1.4 COATED PAPERS 1000 t 2514.000 2247.399 9 9 12.1.4 COATED PAPERS 1000 t
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 1479.322 1465.565 9 9 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t
12.3 PACKAGING MATERIALS 1000 t 13343.425 12535.866 9 9 12.3 PACKAGING MATERIALS 1000 t OK OK
12.3.1 CASE MATERIALS 1000 t 9978.423 9515.774 9 9 12.3.1 CASE MATERIALS 1000 t
12.3.2 CARTONBOARD 1000 t 1830.530 1545.427 9 9 12.3.2 CARTONBOARD 1000 t
12.3.3 WRAPPING PAPERS 1000 t 494.551 469.451 9 9 12.3.3 WRAPPING PAPERS 1000 t
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 1039.921 1005.214 9 9 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 1481.785 1416.085 9 9 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 2335.000 2112.000 9 9 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 OK OK
15.1 GLULAM 1000 m3 1289.000 1166.000 9 9 15.1 GLULAM 1000 m3
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 1046.000 946.000 9 9 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3
16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 1000 t
1 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included here
To fill: 6 6
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: DE Date: 0 both VALUE and quantity reported ZERO
Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported INTRA-EU The difference might be caused by Intra-EU trade
PRIMARY PRODUCTS Official Address (in full): Thünen Institute, Leuschnerstr. 91, 21031 Hamburg 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: DE 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 6,535.5 472,933.0 5,860.2 604,100.0 12,157.7 1,013,808.0 10,096.0 1,061,988.0 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK Error OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 76,556 74,636 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 72 103 83 105 ACCEPT ACCEPT 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 270.4 34,851.0 283.9 61,242.0 204.5 12,021.0 246.8 19,346.0 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 22,865 22,375 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 129 216 59 78 ACCEPT ACCEPT 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3
1.1.C Coniferous 1000 m3ub 94.2 10,711.0 72.9 13,630.0 122.2 6,602.0 180.4 13,480.0 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub 9,068 8,726 1.1.C Coniferous NAC/m3 114 187 54 75 ACCEPT ACCEPT 1.1.C Coniferous NAC/m3
1.1.NC Non-Coniferous 1000 m3ub 176.2 24,140.0 211.1 47,612.0 82.3 5,419.0 66.4 5,866.0 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub 13,798 13,648 1.1.NC Non-Coniferous NAC/m3 137 226 66 88 ACCEPT ACCEPT 1.1.NC Non-Coniferous NAC/m3
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 6,265.2 438,082.0 5,576.3 542,858.0 11,953.2 1,001,787.0 9,849.3 1,042,642.0 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 53,691 52,261 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 70 97 84 106 ACCEPT ACCEPT 1.2 INDUSTRIAL ROUNDWOOD NAC/m3
1.2.C Coniferous 1000 m3ub 5,875.8 387,080.0 5,188.2 470,624.0 10,927.4 873,711.0 8,978.2 911,744.0 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 50,443 48,635 1.2.C Coniferous NAC/m3 66 91 80 102 ACCEPT ACCEPT 1.2.C Coniferous NAC/m3
1.2.NC Non-Coniferous 1000 m3ub 389.4 51,002.0 388.1 72,234.0 1,025.8 128,076.0 871.0 130,898.0 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 3,248 3,627 1.2.NC Non-Coniferous NAC/m3 131 186 125 150 ACCEPT ACCEPT 1.2.NC Non-Coniferous NAC/mt
1.2.NC.T of which: Tropical1 1000 m3ub 11.6 6,185.0 15.8 9,447.0 5.0 2,848.0 4.3 2,504.0 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 7 11 1.2.NC.T of which: Tropical NAC/m3 533 598 570 577 ACCEPT ACCEPT 1.2.NC.T of which: Tropical 1000 m3
2 WOOD CHARCOAL 1000 t 147.6 82,055.0 133.6 87,395.0 30.0 30,385.0 29.7 29,497.0 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL 1000 t 148 134 2 WOOD CHARCOAL NAC / t 556 654 1014 995 ACCEPT ACCEPT 2 WOOD CHARCOAL 1000 m3
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 1,108.5 38,208.0 2,698.0 128,166.0 2,550.6 125,163.0 3,570.6 236,929.0 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 15,261 15,420 3 WOOD CHIPS, PARTICLES AND RESIDUES NAC/m3 34 48 49 66 ACCEPT ACCEPT 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 393.1 18,090.0 639.2 34,068.0 1,616.9 78,007.0 2,102.7 123,271.0 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3 10,581 9,852 3.1 WOOD CHIPS AND PARTICLES NAC/m3 46 53 48 59 ACCEPT ACCEPT 3.1 WOOD CHIPS AND PARTICLES 1000 mt
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 715.3 20,118.0 1,148.2 55,994.0 933.7 47,156.0 945.7 79,785.3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 4,680 5,179 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) NAC/m3 28 49 51 84 ACCEPT ACCEPT 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt
3.2.1 of which: Sawdust 1000 m3 693.0 36,942.0 684.6 62,849.0 3.2.1 of which: Sawdust 1000 m3 OK OK OK OK OK OK OK OK 3.2.1 of which: Sawdust 1000 m3 0 8 3.2.1 of which: Sawdust NAC/m3 REPORT 53 REPORT 92 CHECK CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 t 935.5 43,453.0 569.1 38,104.0 684.3 45,844.0 326.3 33,872.7 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD 1000 t 8,286 8,278 4 RECOVERED POST-CONSUMER WOOD NAC / t 46 67 67 104 ACCEPT ACCEPT 4 RECOVERED POST-CONSUMER WOOD 1000 mt
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 761.7 112,165.0 813.7 213,052.0 915.1 168,097.0 882.4 278,546.0 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK Error OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 4,180 3,946 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC / t 147 262 184 316 ACCEPT ACCEPT 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3
5.1 WOOD PELLETS 1000 t 403.6 65,599.0 477.2 128,199.0 817.3 149,091.0 683.4 244,945.0 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS 1000 t 2,939 3,363 5.1 WOOD PELLETS NAC / t 163 269 182 358 ACCEPT ACCEPT 5.1 WOOD PELLETS NAC/m3
5.2 OTHER AGGLOMERATES 1000 t 358.1 46,566.0 336.4 84,853.0 97.8 19,006.0 198.9 33,601.0 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES 1000 t 1,241 584 5.2 OTHER AGGLOMERATES NAC / t 130 252 194 169 ACCEPT ACCEPT 5.2 OTHER AGGLOMERATES NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 5,819.3 1,939,756.0 4,182.7 1,598,111.0 11,333.8 3,712,759.0 11,502.5 3,984,881.0 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 20,924 18,022 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 333 382 328 346 ACCEPT ACCEPT 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3
6.C Coniferous 1000 m3 5,317.3 1,646,970.0 3,762.6 1,277,924.0 10,552.1 3,277,684.0 10,781.4 3,526,187.0 6.C Coniferous 1000 m3 6.C Coniferous 1000 m3 20,101 17,295 6.C Coniferous NAC/m3 310 340 311 327 ACCEPT ACCEPT 6.C Coniferous NAC/m3
6.NC Non-Coniferous 1000 m3 502.0 292,786.0 420.1 320,187.0 781.7 435,075.0 721.1 458,694.0 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3 823 727 6.NC Non-Coniferous NAC/m3 583 762 557 636 ACCEPT ACCEPT 6.NC Non-Coniferous NAC/m3
6.NC.T of which: Tropical1 1000 m3 74.7 63,910.0 79.5 67,741.0 37.6 55,775.0 50.3 42,635.0 6.NC.T of which: Tropical1 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical1 1000 m3 39 33 6.NC.T of which: Tropical NAC/m3 855 852 1483 847 ACCEPT ACCEPT 6.NC.T of which: Tropical NAC/m3
7 VENEER SHEETS 1000 m3 113.9 172,647.0 98.8 206,531.0 62.0 151,921.0 51.9 155,726.0 7 VENEER SHEETS 1000 m3 OK OK Error OK OK OK OK OK 7 VENEER SHEETS 1000 m3 168 157 7 VENEER SHEETS NAC/m3 1515 2091 2449 3001 ACCEPT ACCEPT 7 VENEER SHEETS NAC/m3
7.C Coniferous 1000 m3 27.4 20,761.0 20.2 20,131.0 0.6 2,799.0 0.9 3,690.0 7.C Coniferous 1000 m3 7.C Coniferous 1000 m3 40 34 7.C Coniferous NAC/m3 759 998 4634 4306 ACCEPT ACCEPT 7.C Coniferous NAC/m3
7.NC Non-Coniferous 1000 m3 86.6 151,886.0 78.6 186,400.0 61.4 149,122.0 51.0 152,036.0 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3 128 123 7.NC Non-Coniferous NAC/m3 1755 2372 2427 2979 ACCEPT ACCEPT 7.NC Non-Coniferous NAC/m3
7.NC.T of which: Tropical 1000 m3 9.7 11,872.0 8.3 11,631.0 2.2 10,388.0 2.1 9,772.0 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 9 9 7.NC.T of which: Tropical NAC/m3 1227 1410 4803 4658 ACCEPT ACCEPT 7.NC.T of which: Tropical NAC/m3
8 WOOD-BASED PANELS 1000 m3 6,467.4 2,420,877.0 5,557.8 2,661,839.0 6,786.4 2,968,511.0 5,772.9 3,100,216.0 8 WOOD-BASED PANELS 1000 m3 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 13,206 11,753 8 WOOD-BASED PANELS NAC/m3 374 479 437 537 ACCEPT ACCEPT 8 WOOD-BASED PANELS NAC/m3
8.1 PLYWOOD 1000 m3 1,482.9 942,995.0 1,318.7 1,096,848.0 387.9 326,202.0 330.1 344,032.0 8.1 PLYWOOD 1000 m3 OK OK OK OK OK OK Error OK 8.1 PLYWOOD 1000 m3 1,198 1,073 8.1 PLYWOOD NAC/m3 636 832 841 1042 ACCEPT ACCEPT 8.1 PLYWOOD NAC/m3
8.1.C Coniferous 1000 m3 540.6 290,796.0 495.4 304,255.0 168.3 114,471.5 153.2 125,214.0 8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3 416 370 8.1.C Coniferous NAC/m3 538 614 680 817 ACCEPT ACCEPT 8.1.C Coniferous NAC/m3
8.1.NC Non-Coniferous 1000 m3 942.3 652,199.0 823.3 792,593.0 219.6 211,730.5 176.9 218,818.0 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3 782 703 8.1.NC Non-Coniferous NAC/m3 692 963 964 1237 ACCEPT ACCEPT 8.1.NC Non-Coniferous NAC/m3
8.1.NC.T of which: Tropical 1000 m3 134.1 103,857.0 156.0 154,982.0 38.3 46,070.0 59.7 77,017.0 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 96 96 8.1.NC.T of which: Tropical NAC/m3 774 993 1204 1289 ACCEPT ACCEPT 8.1.NC.T of which: Tropical NAC/m3
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 39.4 34,670.0 44.2 47,780.0 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 OK OK OK OK OK OK OK OK 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0 -5 8.1.1 of which: Laminated Veneer Lumber (LVL) NAC/m3 REPORT 879 REPORT 1081 CHECK CHECK
8.1.1.C Coniferous 1000 m3 14.9 10,917.0 37.0 39,742.0 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous 1000 m3 0 -22 8.1.1.C Coniferous NAC/m3 REPORT 731 REPORT 1075 CHECK CHECK
8.1.1.NC Non-Coniferous 1000 m3 24.5 23,753.0 7.2 8,038.0 8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous 1000 m3 0 17 8.1.1.NC Non-Coniferous NAC/m3 REPORT 969 REPORT 1110 CHECK CHECK
8.1.1.NC.T of which: Tropical 1000 m3 13.7 12,534.0 0.6 773.0 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 13 8.1.1.NC.T of which: Tropical NAC/m3 REPORT 916 REPORT 1214 CHECK CHECK
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 2,958.7 910,456.0 2,649.2 990,789.0 2,744.8 783,764.0 2,450.2 878,679.0 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 7,532 6,889 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 308 374 286 359 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 758.6 287,924.0 679.0 264,062.0 554.9 196,022.0 526.2 205,773.0 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 1,485 1,316 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 380 389 353 391 ACCEPT ACCEPT 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3
8.3 FIBREBOARD 1000 m3 2,025.7 567,426.0 1,589.9 574,202.0 3,653.7 1,858,545.0 2,992.5 1,877,505.0 8.3 FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 4,477 3,791 8.3 FIBREBOARD NAC/m3 280 361 509 627 ACCEPT ACCEPT 8.3 FIBREBOARD NAC/m3
8.3.1 HARDBOARD 1000 m3 249.3 102,503.0 199.6 122,521.0 30.5 21,089.0 23.5 20,948.3 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3 219 176 8.3.1 HARDBOARD NAC/m3 411 614 692 892 ACCEPT ACCEPT 8.3.1 HARDBOARD NAC/mt
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 653.6 326,419.0 424.2 300,959.0 2,936.1 1,772,071.0 2,345.5 1,784,724.7 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 2,410 1,870 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/m3 499 710 604 761 ACCEPT ACCEPT 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt
8.3.3 OTHER FIBREBOARD 1000 m3 1,122.8 138,504.0 966.1 150,722.0 687.2 65,385.0 623.6 71,832.0 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3 1,848 1,745 8.3.3 OTHER FIBREBOARD NAC/m3 123 156 95 115 ACCEPT ACCEPT 8.3.3 OTHER FIBREBOARD NAC/mt
9 WOOD PULP 1000 t 4,534.0 2,690,191.0 4,173.0 3,311,965.6 1,177.0 757,124.0 1,253.0 1,047,942.2 9 WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 t 5,684 5,092 9 WOOD PULP NAC/t 593 794 643 836 ACCEPT ACCEPT 9 WOOD PULP NAC/mt
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 155.0 89,579.0 221.0 168,137.6 97.0 46,724.0 139.0 99,223.2 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 814 749 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/t 578 761 482 714 ACCEPT ACCEPT 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt
9.2 CHEMICAL WOOD PULP 1000 t 3,968.0 2,259,470.0 3,551.0 2,763,368.0 1,070.0 700,916.0 1,092.0 922,551.0 9.2 CHEMICAL WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 t 4,469 3,964 9.2 CHEMICAL WOOD PULP NAC/t 569 778 655 845 ACCEPT ACCEPT 9.2 CHEMICAL WOOD PULP NAC/mt
9.2.1 SULPHATE PULP 1000 t 3,897.0 2,182,569.0 3,484.0 2,676,476.0 959.0 575,034.0 987.0 778,688.0 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP 1000 t 4,003 3,515 9.2.1 SULPHATE PULP NAC/t 560 768 600 789 ACCEPT ACCEPT 9.2.1 SULPHATE PULP NAC/mt
9.2.1.1 of which: BLEACHED 1000 t 3,774.0 2,115,094.0 1,102.0 906,587.0 948.0 567,595.0 977.0 770,202.0 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 3,891 1,143 9.2.1.1 of which: BLEACHED NAC/t 560 823 599 788 ACCEPT ACCEPT 9.2.1.1 of which: BLEACHED NAC/mt
9.2.2 SULPHITE PULP 1000 t 71.0 76,901.0 67.0 86,892.0 111.0 125,882.0 105.0 143,863.0 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP 1000 t 466 449 9.2.2 SULPHITE PULP NAC/t 1083 1297 1134 1370 ACCEPT ACCEPT 9.2.2 SULPHITE PULP NAC/mt
9.3 DISSOLVING GRADES 1000 t 411.0 341,142.0 401.0 380,460.0 10.0 9,484.0 22.0 26,168.0 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES 1000 t 401 379 9.3 DISSOLVING GRADES NAC/t 830 949 948 1189 ACCEPT ACCEPT 9.3 DISSOLVING GRADES NAC/mt
10 OTHER PULP 1000 t 144.0 41,001.0 143.0 63,772.0 126.0 67,000.0 85.0 58,740.0 10 OTHER PULP 1000 t OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 t 15,370 14,338 10 OTHER PULP NAC/t 285 446 532 691 ACCEPT ACCEPT 10 OTHER PULP NAC/mt
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 15.0 20,522.0 19.0 37,763.0 5.0 7,178.0 4.0 8,012.0 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 66 57 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/t 1368 1988 1436 2003 ACCEPT ACCEPT 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt
10.2 RECOVERED FIBRE PULP 1000 t 129.0 20,479.0 124.0 26,009.0 121.0 59,822.0 81.0 50,728.0 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP 1000 t 15,304 14,281 10.2 RECOVERED FIBRE PULP NAC/t 159 210 494 626 ACCEPT ACCEPT 10.2 RECOVERED FIBRE PULP NAC/mt
11 RECOVERED PAPER 1000 t 5,639.0 1,045,180.0 5,462.0 1,235,544.0 1,829.0 306,254.0 1,612.0 325,414.2 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER 1000 t 18,297 17,038 11 RECOVERED PAPER NAC/t 185 226 167 202 ACCEPT ACCEPT 11 RECOVERED PAPER NAC/mt
12 PAPER AND PAPERBOARD 1000 t 10,114.5 7,559,121.2 9,302.0 9,860,429.1 14,166.0 11,358,944.8 13,078.0 14,518,949.1 12 PAPER AND PAPERBOARD 1000 t OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 t 19,076 17,836 12 PAPER AND PAPERBOARD NAC/t 747 1060 802 1110 ACCEPT ACCEPT 12 PAPER AND PAPERBOARD NAC/mt
12.1 GRAPHIC PAPERS 1000 t 4,052.8 2,696,754.0 3,585.0 3,817,186.1 5,007.1 3,740,936.0 4,466.8 5,206,671.8 12.1 GRAPHIC PAPERS 1000 t OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 t 5,868 5,312 12.1 GRAPHIC PAPERS NAC/t 665 1065 747 1166 ACCEPT ACCEPT 12.1 GRAPHIC PAPERS NAC/mt
12.1.1 NEWSPRINT 1000 t 602.3 259,492.0 609.4 490,055.5 523.8 219,742.0 525.0 433,172.7 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT 1000 t 1,131 1,023 12.1.1 NEWSPRINT NAC/t 431 804 420 825 ACCEPT ACCEPT 12.1.1 NEWSPRINT NAC/mt
12.1.2 UNCOATED MECHANICAL 1000 t 441.7 283,840.0 423.2 387,227.8 816.9 401,590.0 763.4 656,298.2 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL 1000 t 1,434 1,340 12.1.2 UNCOATED MECHANICAL NAC/t 643 915 492 860 ACCEPT ACCEPT 12.1.2 UNCOATED MECHANICAL NAC/mt
12.1.3 UNCOATED WOODFREE 1000 t 1,114.5 914,800.0 1,055.3 1,284,915.0 899.2 987,776.0 831.6 1,288,419.0 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE 1000 t 1,663 1,551 12.1.3 UNCOATED WOODFREE NAC/t 821 1218 1099 1549 ACCEPT ACCEPT 12.1.3 UNCOATED WOODFREE NAC/mt
12.1.4 COATED PAPERS 1000 t 1,894.3 1,238,622.0 1,497.2 1,654,987.8 2,767.2 2,131,828.0 2,346.7 2,828,781.8 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS 1000 t 1,641 1,398 12.1.4 COATED PAPERS NAC/t 654 1105 770 1205 ACCEPT ACCEPT 12.1.4 COATED PAPERS NAC/mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 156.0 229,085.2 200.0 401,692.6 147.0 266,992.8 106.0 257,863.8 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 1,488 1,560 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/t 1468 2008 1816 2433 ACCEPT ACCEPT 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt
12.3 PACKAGING MATERIALS 1000 t 5,711.6 4,128,534.0 5,346.0 5,119,976.1 8,679.2 6,490,616.0 8,189.0 8,080,788.2 12.3 PACKAGING MATERIALS 1000 t OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 t 10,376 9,693 12.3 PACKAGING MATERIALS NAC/t 723 958 748 987 ACCEPT ACCEPT 12.3 PACKAGING MATERIALS NAC/mt
12.3.1 CASE MATERIALS 1000 t 2,956.2 1,404,557.0 2,618.6 1,743,655.5 5,057.9 2,527,252.0 4,770.2 3,212,675.6 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS 1000 t 7,877 7,364 12.3.1 CASE MATERIALS NAC/t 475 666 500 673 ACCEPT ACCEPT 12.3.1 CASE MATERIALS NAC/mt
12.3.2 CARTONBOARD 1000 t 1,409.9 1,463,445.0 1,458.6 1,733,506.2 2,260.9 2,560,279.0 2,039.8 3,036,746.3 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD 1000 t 980 964 12.3.2 CARTONBOARD NAC/t 1038 1188 1132 1489 ACCEPT ACCEPT 12.3.2 CARTONBOARD NAC/mt
12.3.3 WRAPPING PAPERS 1000 t 1,045.6 989,508.0 1,020.4 1,330,790.0 1,040.8 1,128,331.0 1,097.7 1,489,013.4 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS 1000 t 499 392 12.3.3 WRAPPING PAPERS NAC/t 946 1304 1084 1357 ACCEPT ACCEPT 12.3.3 WRAPPING PAPERS NAC/mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 299.9 271,024.0 248.3 312,024.3 319.6 274,754.0 281.4 342,352.9 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 1,020 972 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/t 904 1256 860 1217 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 194.2 504,748.0 171.0 521,574.3 332.7 860,400.0 316.2 973,625.3 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 1,343 1,271 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/t 2599 3050 2586 3079 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 384 264,416 492 350,350 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 2,335 2,004 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 NAC/m3 REPORT 688 REPORT 711 CHECK CHECK
15.1 GLULAM 1000 m3 313 217,920 438 305,849 15.1 GLULAM 1000 m3 15.1 GLULAM 1000 m3 1,289 1,041 15.1 GLULAM NAC/m3 REPORT 697 REPORT 698 CHECK CHECK
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 72 46,496 54 44,501 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 1,046 963 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) NAC/m3 REPORT 648 REPORT 817 CHECK CHECK
16 I BEAMS (I-JOISTS)2 1000 t 5.5 7,221.0 0.5 589.0 16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 1000 t 0 5 16 I BEAMS (I-JOISTS)1 NAC/t REPORT 1311 REPORT 1197 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 0 0 9 9 0 0
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: DE Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ3 Thünen Institute, Leuschnerstr. 91, 21031 Hamburg
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 10,753,037.0 11,295,654.0 8,630,216.0 9,079,231.0 13 SECONDARY WOOD PRODUCTS OK OK OK OK
13.1 FURTHER PROCESSED SAWNWOOD 387,107.0 356,791.0 292,299.0 277,284.0 13.1 FURTHER PROCESSED SAWNWOOD OK OK OK OK
13.1.C Coniferous 259,680.0 233,788.0 238,954.0 225,743.0 13.1.C Coniferous
13.1.NC Non-coniferous 127,427.0 123,003.0 53,345.0 51,541.0 13.1.NC Non-coniferous
13.1.NC.T of which: Tropical 62,911.0 57,216.0 7,426.0 9,378.0 13.1.NC.T of which: Tropical OK OK OK OK
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 843,657.0 1,067,780.0 442,323.0 588,306.0 13.2 WOODEN WRAPPING AND PACKAGING MATERIAL
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 363,938.0 413,181.0 166,870.0 176,570.0 13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1 1,381,341.0 1,260,753.0 1,449,530.0 1,220,187.0 13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1
13.5 WOODEN FURNITURE 6,436,567.0 6,748,736.0 5,591,032.0 6,089,953.0 13.5 WOODEN FURNITURE
13.6 PREFABRICATED BUILDINGS OF WOOD 311,088.0 310,401.0 95,051.0 96,214.0 13.6 PREFABRICATED BUILDINGS OF WOOD
13.7 OTHER MANUFACTURED WOOD PRODUCTS 1,029,339.0 1,138,012.0 593,111.0 630,717.0 13.7 OTHER MANUFACTURED WOOD PRODUCTS
14 SECONDARY PAPER PRODUCTS 4,198,897.0 5,211,668.0 7,971,213.0 9,428,423.0 14 SECONDARY PAPER PRODUCTS OK OK OK OK
14.1 COMPOSITE PAPER AND PAPERBOARD 49,169.0 59,557.0 95,507.0 137,521.0 14.1 COMPOSITE PAPER AND PAPERBOARD
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 619,904.0 710,133.0 1,692,316.0 1,991,107.0 14.2 SPECIAL COATED PAPER AND PULP PRODUCTS
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 730,604.0 1,057,745.0 1,112,912.0 1,532,677.0 14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4 PACKAGING CARTONS, BOXES ETC. 1,566,725.0 1,894,075.0 3,223,608.0 3,698,286.0 14.4 PACKAGING CARTONS, BOXES ETC.
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 1,232,495.0 1,490,158.0 1,846,870.0 2,068,832.0 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 19,830.0 28,120.0 66,687.0 92,715.0 14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 129,048.0 140,460.0 87,833.0 98,731.0 14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 48,913.0 63,918.0 199,012.0 217,039.0 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: DE Date:
Name of Official responsible for reply: 0
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade Official Address (in full): Check Table
Thünen Institute, Leuschnerstr. 91, 21031 Hamburg 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 5,875.8 387,080.0 5,188.2 470,624.0 10,927.4 873,711.0 8,978.2 911,744.0 OK OK OK OK OK OK OK OK 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous NAC/m3 66 91 80 102 ACCEPT ACCEPT PRODUCTION I M P O R T E X P O R T
4403.21/22 of which: Pine (Pinus spp.) 1000 m3ub 1,460.8 59,448.0 1,338.9 90,098.0 559.5 33,345.0 883.2 82,901.0 OK OK OK OK OK OK OK OK 4403.21/22 of which: Pine (Pinus spp.) NAC/m3 41 67 60 94 ACCEPT ACCEPT Product Classification Classification Unit of 2021 2022 2021 2022 2021 2022
4403 21 10 sawlogs and veneer logs 1000 m3ub 341.9 26,592.0 373.2 33,528.0 245.9 18,336.0 612.2 61,225.0 4403 21 10 sawlogs and veneer logs NAC/m3 78 90 75 100 ACCEPT ACCEPT Code HS2022 CN2022 Product Quantity Quantity Quantity Quantity Value Quantity Value Quantity Value Quantity Value
4403 21 90 4403 22 00 pulpwood and other industrial roundwood 1000 m3ub 1,118.9 32,856.0 965.8 56,570.0 313.5 15,009.0 271.0 21,676.0 4403 21 90 4403 22 00 pulpwood and other industrial roundwood NAC/m3 29 59 48 80 ACCEPT ACCEPT 1 4401.11/12 44.03 Roundwood production 1000 m3 JQ1 82,178 78,872
4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3ub 3,881.7 290,097.0 3,469.4 348,772.0 9,387.7 776,111.0 7,490.8 778,798.0 OK OK OK OK OK OK OK OK 4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 75 101 83 104 ACCEPT ACCEPT EU2 0 0
4403 23 10 sawlogs and veneer logs 1000 m3ub 2,708.2 229,991.0 2,278.2 255,258.0 7,807.4 692,724.0 5,561.3 627,640.0 4403 23 10 sawlogs and veneer logs NAC/m3 85 112 89 113 ACCEPT ACCEPT dif 82,178 78,872
4403 23 90 4403 24 00 pulpwood and other industrial roundwood 1000 m3ub 1,173.5 60,106.0 1,191.2 93,514.0 1,580.3 83,387.0 1,929.6 151,158.0 4403 23 90 4403 24 00 pulpwood and other industrial roundwood NAC/m3 51 79 53 78 ACCEPT ACCEPT 1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood (wood in the rough), Coniferous 1000 m3 JQ2 5,876 387,080 5,188 470,624 10,927 873,711 8,978 911,744
1.2.NC 4403.12/41/42/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous 1000 m3ub 389.4 51,002.0 388.1 72,234.0 1,025.8 128,076.0 871.0 130,898.0 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 131 186 125 150 ACCEPT ACCEPT ECE/EU 5,876 387,080 5,188 470,624 10,927 873,711 8,978 911,744
ex4403.12 4403.91 of which: Oak (Quercus spp.) 1000 m3ub 23.8 8,476.0 25.1 13,631.0 158.0 32,576.0 124.2 32,801.0 ex4403.12 4403.91 of which: Oak (Quercus spp.) NAC/m3 356 543 206 264 ACCEPT ACCEPT dif 0 0 0 0 0 0 0 0
ex4403.12 4403.93/94 of which: Beech (Fagus spp.) 1000 m3ub 85.5 5,340.0 104.6 7,977.0 604.3 62,141.0 537.7 63,932.0 ex4403.12 4403.93/94 of which: Beech (Fagus spp.) NAC/m3 62 76 103 119 ACCEPT ACCEPT 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 389 51,002 388 72,234 1,026 128,076 871 130,898
ex4403.12 4403.95/96 of which: Birch (Betula spp.) 1000 m3ub 27.6 2,702.0 54.0 4,884.0 9.7 649.0 25.2 3,477.0 OK OK OK OK OK OK OK OK ex4403.12 4403.95/96 of which: Birch (Betula spp.) NAC/m3 98 90 67 138 ACCEPT CHECK ECE/EU 389 51,002 388 72,234 1,026 128,076 871 130,898
4403 95 10 sawlogs and veneer logs 1000 m3ub 0.5 460.0 2.3 450.0 1.8 131.0 1.4 116.0 4403 95 10 sawlogs and veneer logs NAC/m3 853 192 73 85 CHECK ACCEPT dif 0 0 0 0 0 0 0 0
ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood 1000 m3ub 27.0 2,242.0 51.7 4,434.0 7.9 518.0 23.8 3,361.0 ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood NAC/m3 83 86 66 141 ACCEPT CHECK 6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous 1000 m3 JQ2 5,317 1,646,970 3,763 1,277,924 10,552 3,277,684 10,781 3,526,187
ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) 1000 m3ub 14.8 557.0 5.0 281.0 9.9 601.0 17.0 1,373.0 ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 38 56 61 81 ACCEPT ACCEPT ECE/EU 5,317 1,646,970 3,763 1,277,924 10,552 3,277,684 10,781 3,526,187
ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) 1000 m3ub 0.1 139.0 11.5 551.0 0.0 1.0 0.1 13.0 ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) NAC/m3 939 48 1000 117 CHECK CHECK dif 0 0 0 0 0 0 0 0
6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous 1000 m3 5,317.3 1,646,970.0 3,762.6 1,277,924.0 10,552.1 3,277,684.0 10,781.4 3,526,187.0 OK OK OK OK OK OK OK OK 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous NAC/m3 310 340 311 327 ACCEPT ACCEPT 6.NC 4406.12/92 4407.21/22/23/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 JQ2 502 292,786 420 320,187 782 435,075 721 458,694
4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) 1000 m3 786.0 224,985.0 502.5 172,856.0 1,392.5 448,426.0 1,568.3 537,740.0 4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) NAC/m3 286 344 322 343 ACCEPT ACCEPT ECE/EU 502 292,786 420 320,187 782 435,075 721 458,694
4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3 3,822.8 1,153,620.0 2,688.8 838,287.0 8,108.4 2,597,398.0 8,387.2 2,747,987.0 4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 302 312 320 328 ACCEPT ACCEPT dif 0 0 0 0 -0 0 0 0
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 502.0 292,786.0 420.1 320,187.0 781.7 435,075.0 721.1 458,694.0 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 583 762 557 636 ACCEPT ACCEPT
ex4406.12/92 4407.91 of which: Oak (Quercus spp.) 1000 m3 124.7 108,638.0 114.3 130,193.0 143.6 109,803.0 137.1 113,960.0 ex4406.12/92 4407.91 of which: Oak (Quercus spp.) NAC/m3 871 1139 764 831 ACCEPT ACCEPT
ex4406.12/92 4407.92 of which: Beech (Fagus spp.) 1000 m3 20.9 10,449.0 16.8 9,630.0 527.4 223,879.0 458.6 246,980.0 ex4406.12/92 4407.92 of which: Beech (Fagus spp.) NAC/m3 501 572 425 539 ACCEPT ACCEPT
ex4406.12/92 4407.93 of which: Maple (Acer spp.) 1000 m3 3.8 3,614.0 3.3 4,724.0 3.5 3,222.0 3.5 3,937.0 ex4406.12/92 4407.93 of which: Maple (Acer spp.) NAC/m3 958 1443 930 1131 ACCEPT ACCEPT
ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) 1000 m3 2.1 1,744.0 1.2 1,284.0 0.7 741.0 0.6 689.0 ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) NAC/m3 848 1040 1005 1222 ACCEPT ACCEPT
ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) 1000 m3 13.4 7,478.0 13.1 7,904.0 20.6 8,446.0 26.7 12,339.0 ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) NAC/m3 557 601 409 463 ACCEPT ACCEPT
ex4406.12/92 4407.96 of which: Birch (Betula spp.) 1000 m3 32.8 7,884.0 12.0 3,520.0 5.4 1,487.0 3.4 1,131.0 ex4406.12/92 4407.96 of which: Birch (Betula spp.) NAC/m3 241 292 278 338 ACCEPT ACCEPT
ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) 1000 m3 39.4 9,117.0 15.2 4,510.0 3.7 1,183.0 3.1 1,536.0 ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 231 296 321 492 ACCEPT ACCEPT
Light blue cells are requested only for EU members using the Combined Nomenclature to fill in - other countries are welcome to do so if their trade classification nomenclature permits
Please note that information on tropical species trade is requested in questionnaire ITTO2 for ITTO member countries
"ex" codes indicate that only part of that trade classication code is used To fill: 0 0 0 0 0 0 0 0
m3ub = cubic metres underbark (i.e. excluding bark)
Please complete each cell if possible with
data (numerical value)
or " " for not available
or "0" for zero data

EU1 ExtraEU Trade

FOREST SECTOR QUESTIONNAIRE Country: DE 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): Thünen Institute, Leuschnerstr. 91, 21031 Hamburg 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 848.6 91,796.0 936.9 124,971.0 4,831.6 542,552.0 3,773.9 509,854.0 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 108 133 112 135 ACCEPT CHECK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 130.0 17,829.0 101.7 22,327.0 4.1 1,215.0 14.8 2,094.0 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 137 219 297 141 ACCEPT CHECK
1.1.C Coniferous 1000 m3ub 13.9 2,132.0 7.2 1,593.0 0.5 129.0 6.6 1,029.0 OK OK OK OK OK OK OK OK 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous NAC/ m3 154 222 261 156 ACCEPT CHECK
1.1.NC Non-Coniferous 1000 m3ub 116.2 15,697.0 94.6 20,734.0 3.6 1,086.0 8.2 1,065.0 OK OK OK OK OK OK OK OK 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous NAC/ m3 135 219 302 130 ACCEPT CHECK
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 718.6 73,967.0 835.2 102,644.0 4,827.5 541,337.0 3,759.1 507,760.0 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 103 123 112 135 ACCEPT CHECK
1.2.C Coniferous 1000 m3ub 664.7 54,799.0 750.9 72,810.0 4,365.6 464,336.0 3,296.7 420,997.0 OK OK OK OK OK OK OK OK 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous NAC/ m3 82 97 106 128 ACCEPT CHECK
1.2.NC Non-Coniferous 1000 m3ub 53.9 19,168.0 84.3 29,834.0 462.0 77,001.0 462.4 86,763.0 OK OK OK OK OK OK OK OK 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous NAC/ m3 356 354 167 188 CHECK CHECK
1.2.NC.T of which: Tropical 1000 m3ub 11.6 6,185.0 15.8 9,447.0 0.1 253.0 1.2 543.0 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 533 598 4148 461 CHECK CHECK
2 WOOD CHARCOAL 1000 t 80.4 42,847.0 75.5 49,495.0 5.5 4,969.0 4.8 4,843.0 OK OK OK OK OK OK OK OK 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL NAC/ t 533 655 904 1004 ACCEPT CHECK
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 42.0 1,422.0 206.6 6,867.0 268.5 19,637.0 406.7 40,449.0 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 34 33 73 99 CHECK CHECK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.9 478.0 35.4 2,940.0 125.2 9,913.0 214.5 18,123.0 OK OK OK OK OK OK OK OK 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES NAC/ m3 121 83 79 84 ACCEPT CHECK
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 38.1 944.0 80.3 2,105.7 143.3 9,724.0 161.6 18,293.3 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 25 26 68 113 CHECK CHECK
3.2.1 of which: Sawdust 1000 m3 34.8 1,195.0 146.3 16,277.0 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 34 REPORT 111 CHECK CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 t 104.3 3,914.0 56.8 1,821.3 35.1 6,631.0 19.2 4,032.7 OK OK OK OK OK OK OK OK 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD NAC/ t 38 32 189 211 CHECK CHECK
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 231.6 30,262.0 201.5 53,411.0 70.5 17,673.0 68.7 25,935.0 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 131 265 251 378 ACCEPT CHECK
5.1 WOOD PELLETS 1000 t 92.4 13,362.0 93.0 24,461.0 40.6 9,756.0 42.4 15,872.0 OK OK OK OK OK OK OK OK 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS NAC/ t 145 263 240 375 ACCEPT CHECK
5.2 OTHER AGGLOMERATES 1000 t 139.2 16,900.0 108.5 28,950.0 29.9 7,917.0 26.3 10,063.0 OK OK OK OK OK OK OK OK 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES NAC/ t 121 267 265 382 ACCEPT CHECK
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 1,793.9 601,398.0 947.5 447,746.0 4,874.5 1,737,382.0 5,950.8 2,120,945.0 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 335 473 356 356 ACCEPT CHECK
6.C Coniferous 1000 m3 1,545.2 466,691.0 771.3 300,749.0 4,430.4 1,522,492.0 5,542.6 1,878,863.0 OK OK OK OK OK OK OK OK 6.C Coniferous 1000 m3 6.C Coniferous NAC/ m3 302 390 344 339 ACCEPT CHECK
6.NC Non-Coniferous 1000 m3 248.7 134,707.0 176.2 146,997.0 444.2 214,890.0 408.2 242,082.0 OK OK OK OK OK OK OK OK 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous NAC/ m3 542 834 484 593 ACCEPT CHECK
6.NC.T of which: Tropical 1000 m3 61.3 44,329.0 69.8 59,089.0 7.7 11,854.0 7.3 11,510.0 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 723 846 1538 1586 ACCEPT CHECK
7 VENEER SHEETS 1000 m3 37.8 54,257.0 30.5 72,325.0 13.1 52,297.0 14.4 62,872.0 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 1437 2371 3985 4372 ACCEPT CHECK
7.C Coniferous 1000 m3 4.1 6,146.0 3.3 7,928.0 0.3 1,012.0 0.5 1,550.0 OK OK OK OK OK OK OK OK 7.C Coniferous 1000 m3 7.C Coniferous NAC/ m3 1499 2416 3478 3027 ACCEPT CHECK
7.NC Non-Coniferous 1000 m3 33.7 48,111.0 27.2 64,397.0 12.8 51,285.0 13.9 61,322.0 OK OK OK OK OK OK OK OK 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous NAC/ m3 1430 2366 3996 4422 ACCEPT CHECK
7.NC.T of which: Tropical 1000 m3 7.3 5,810.0 6.6 7,006.0 1.1 3,162.0 1.0 3,456.0 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 797 1056 2846 3336 CHECK CHECK
8 WOOD-BASED PANELS 1000 m3 1,017.4 460,845.0 885.0 520,849.0 1,744.2 882,390.0 1,430.4 860,763.0 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 OK OK Error OK OK OK OK OK 8 WOOD-BASED PANELS NAC/ m3 453 589 506 602 ACCEPT CHECK
8.1 PLYWOOD 1000 m3 626.5 306,588.0 560.1 356,197.0 105.0 99,822.0 103.2 111,368.0 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 489 636 950 1079 ACCEPT CHECK
8.1.C Coniferous 1000 m3 224.8 82,057.0 240.0 108,982.0 74.3 62,349.0 77.0 75,438.0 OK OK OK OK OK OK OK OK 8.1.C Coniferous 1000 m3 8.1.C Coniferous NAC/ m3 365 454 839 980 ACCEPT CHECK
8.1.NC Non-Coniferous 1000 m3 401.7 224,531.0 320.1 247,215.0 30.7 37,473.0 26.2 35,930.0 OK OK OK OK OK OK OK OK 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous NAC/ m3 559 772 1221 1370 ACCEPT CHECK
8.1.NC.T of which: Tropical 1000 m3 38.3 26,909.0 37.4 40,371.0 4.3 4,281.0 5.1 6,365.0 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 703 1078 1004 1242 ACCEPT CHECK
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 7.3 6,302.0 24.2 29,192.0 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 868 REPORT 1207 CHECK CHECK
8.1.1.C Coniferous 1000 m3 0.3 143.0 21.4 25,634.0 OK OK OK OK OK OK OK OK 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous NAC/ m3 REPORT 447 REPORT 1195 CHECK CHECK
8.1.1.NC Non-Coniferous 1000 m3 6.9 6,159.0 2.7 3,558.0 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 887 REPORT 1299 CHECK CHECK
8.1.1.NC.T of which: Tropical 1000 m3 1.8 1,881.0 0.1 151.0 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 1040 REPORT 1678 CHECK CHECK
8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 227.5 66,575.0 226.6 81,770.0 506.5 161,960.0 483.8 180,724.0 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 293 361 320 374 ACCEPT CHECK
8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 14.5 5,615.0 5.1 1,584.0 195.4 70,788.0 204.6 86,135.0 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 388 308 362 421 ACCEPT CHECK
8.3 FIBREBOARD 1000 m3 163.4 87,682.0 98.2 82,882.0 880.1 471,133.8 625.2 389,225.4 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 536 844 535 623 ACCEPT CHECK
8.3.1 HARDBOARD 1000 m3 26.4 12,596.0 28.0 26,510.0 13.6 9,454.9 10.5 9,513.5 OK OK OK OK OK OK OK OK 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD NAC/ m3 477 948 693 910 ACCEPT CHECK
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 125.2 72,451.0 62.5 54,069.0 621.3 436,406.9 387.4 349,783.9 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 579 865 702 903 ACCEPT CHECK
8.3.3 OTHER FIBREBOARD 1000 m3 11.8 2,635.0 7.8 2,303.0 245.2 25,272.0 227.3 29,928.0 OK OK OK OK OK OK OK OK 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD NAC/ m3 223 297 103 132 CHECK CHECK
9 WOOD PULP 1000 t 1,882.4 1,141,247.1 1,835.0 1,544,183.9 307.2 210,463.0 255.3 222,874.5 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 606 842 685 873 ACCEPT CHECK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 26.5 13,578.1 54.1 42,708.1 26.2 12,917.0 24.1 15,521.9 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 513 790 493 643 ACCEPT CHECK
9.2 CHEMICAL WOOD PULP 1000 t 1,740.9 1,014,842.0 1,672.3 1,366,823.6 280.0 197,033.0 226.6 203,158.0 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 583 817 704 896 ACCEPT CHECK
9.2.1 SULPHATE PULP 1000 t 1,711.5 984,093.0 1,649.4 1,336,205.0 245.7 143,401.0 196.9 148,563.1 OK OK OK OK OK OK OK OK 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP NAC/ t 575 810 584 754 ACCEPT CHECK
9.2.1.1 of which: BLEACHED 1000 t 1,678.4 962,622.0 538.5 463,253.1 239.6 139,340.0 194.3 146,533.0 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 574 860 582 754 ACCEPT CHECK
9.2.2 SULPHITE PULP 1000 t 29.4 30,749.0 22.9 30,618.7 34.3 53,632.0 29.7 54,594.9 OK OK OK OK OK OK OK OK 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP NAC/ t 1044 1338 1563 1837 ACCEPT CHECK
9.3 DISSOLVING GRADES 1000 t 115.1 112,827.0 108.6 134,652.2 1.1 513.0 4.5 4,194.6 OK OK OK OK OK OK OK OK 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES NAC/ t 980 1240 479 924 CHECK CHECK
10 OTHER PULP 1000 t 105.8 16,331.7 105.8 31,212.3 49.0 27,995.2 33.5 23,486.3 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 154 295 571 701 ACCEPT CHECK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 8.0 13,310.7 9.4 27,007.1 2.4 3,290.2 1.5 2,820.7 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 1657 2867 1387 1874 CHECK CHECK
10.2 RECOVERED FIBRE PULP 1000 t 97.8 3,021.0 96.4 4,205.2 46.7 24,705.0 32.0 20,665.6 OK OK OK OK OK OK OK OK 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP NAC/ t 31 44 529 646 CHECK CHECK
11 RECOVERED PAPER 1000 t 427.9 81,418.0 376.1 94,875.6 147.7 25,086.0 186.0 37,625.9 OK OK OK OK OK OK OK OK 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER NAC/ t 190 252 170 202 ACCEPT CHECK
12 PAPER AND PAPERBOARD 1000 t 1,201.8 898,191.3 1,243.2 1,317,815.3 3,750.9 3,007,726.4 3,591.9 3,987,610.8 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 747 1060 802 1110 ACCEPT CHECK
12.1 GRAPHIC PAPERS 1000 t 490.2 339,614.1 489.5 537,053.2 1,335.7 1,043,697.8 1,230.7 1,480,536.0 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 693 1097 781 1203 ACCEPT CHECK
12.1.1 NEWSPRINT 1000 t 76.0 32,519.6 82.7 68,218.9 138.6 59,787.8 138.0 117,818.0 OK OK OK OK OK OK OK OK 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT NAC/ t 428 825 431 854 ACCEPT CHECK
12.1.2 UNCOATED MECHANICAL 1000 t 55.7 35,570.9 56.8 53,394.2 216.2 109,265.4 200.3 178,345.4 OK OK OK OK OK OK OK OK 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL NAC/ t 639 940 505 890 ACCEPT CHECK
12.1.3 UNCOATED WOODFREE 1000 t 140.6 114,643.0 149.1 185,633.2 237.9 268,755.9 222.3 353,822.7 OK OK OK OK OK OK OK OK 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE NAC/ t 816 1245 1130 1591 ACCEPT CHECK
12.1.4 COATED PAPERS 1000 t 218.0 156,880.6 201.0 229,806.9 743.0 605,888.7 670.1 830,549.9 OK OK OK OK OK OK OK OK 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS NAC/ t 720 1144 815 1240 ACCEPT CHECK
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 18.8 25,342.5 27.8 51,846.9 38.7 62,013.4 29.0 72,078.4 OK OK OK OK OK OK OK OK 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/ t 1348 1866 1604 2486 ACCEPT CHECK
12.3 PACKAGING MATERIALS 1000 t 684.2 505,985.4 715.9 695,927.0 2,353.1 1,815,901.0 2,308.2 2,334,478.0 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 740 972 772 1011 ACCEPT CHECK
12.3.1 CASE MATERIALS 1000 t 355.0 187,623.8 359.0 251,528.8 1,392.4 744,457.3 1,398.9 1,000,535.0 OK OK OK OK OK OK OK OK 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS NAC/ t 528 701 535 715 ACCEPT CHECK
12.3.2 CARTONBOARD 1000 t 176.6 182,345.2 196.2 241,997.8 566.1 673,769.6 538.0 823,778.0 OK OK OK OK OK OK OK OK 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD NAC/ t 1032 1234 1190 1531 ACCEPT CHECK
12.3.3 WRAPPING PAPERS 1000 t 127.9 123,331.7 135.0 182,068.6 317.5 349,966.1 304.2 447,198.8 OK OK OK OK OK OK OK OK 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS NAC/ t 965 1349 1102 1470 ACCEPT CHECK
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 24.7 12,684.8 25.8 20,331.8 77.2 47,707.9 67.0 62,966.2 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 514 787 618 939 ACCEPT CHECK
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 8.6 27,249.3 10.0 32,988.2 23.5 86,114.2 23.9 100,518.4 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 3184 3309 3671 4197 ACCEPT CHECK
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 6.5 6,715.0 210.2 143,752.0 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 1039 REPORT 684 CHECK CHECK
15.1 GLULAM 1000 m3 6.3 6,518.0 204.5 137,870.0 OK OK OK OK OK OK OK OK 15.1 GLULAM 1000 m3 15.1 GLULAM NAC/ m3 REPORT 1034 REPORT 674 CHECK CHECK
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0.2 197.0 5.7 5,882.0 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 1247 REPORT 1025 CHECK CHECK
16 I BEAMS (I-JOISTS)1 1000 t 0.0 4.0 0.0 5.0 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 2000 REPORT 556 CHECK CHECK
To fill: 9 9 0 0 9 9 0 0

EU2 Removals

Country: DE Date:
Name of Official responsible for reply: 0
Official Address (in full):
Thünen Institute, Leuschnerstr. 91, 21031 Hamburg
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 1 ROUNDWOOD 1000 m3 OK OK
1.C Coniferous 1000 m3 1.C Coniferous 1000 m3 OK OK
1.NC Non-coniferous 1000 m3 1.NC Non-coniferous 1000 m3 OK OK
State forests 1000 m3 State forests 1000 m3 OK OK
Coniferous 1000 m3 Coniferous 1000 m3
Non-coniferous 1000 m3 Non-coniferous 1000 m3
Other publicly owned forests 1000 m3 Other publicly owned forests 1000 m3 OK OK
Coniferous 1000 m3 Coniferous 1000 m3
Non-coniferous 1000 m3 Non-coniferous 1000 m3
Private forest 1000 m3 Private forest 1000 m3 OK OK
Coniferous 1000 m3 Coniferous 1000 m3
Non-coniferous 1000 m3 Non-coniferous 1000 m3
To fill: 12 12
Note:
– Ownership categories correspond to those of the TBFRA.
State forests: Forests owned by national, state and regional governments, or government-owned corporations; Crown forests.
Other publicly owned forests: Forests belonging to cities, municipalities, villages and communes.
Private forests: Forests owned by individuals, co-operatives, enterprises and industries and other private institutions.
– The unit should be solid cubic metres, under bark.

ITTO1-Estimates

Country: DE Date:
Name of Official responsible for reply: 0
Official Address (in full): Thünen Institute, Leuschnerstr. 91, 21031 Hamburg
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 56,534 5,576 542,858 9,849 1,042,642
1.2.C Coniferous 1000 m3ub 52,425 5,188 470,624 8,978 911,744
1.2.NC Non-Coniferous 1000 m3ub 4,110 388 72,234 871 130,898
1.2.NC.T of which: Tropical1 1000 m3ub 0 16 9,447 4 2,504
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 446 4,183 1,598,111 11,502 3,984,881
6.C Coniferous 1000 m3 25,342 3,763 1,277,924 10,781 3,526,187
6.NC Non-Coniferous 1000 m3 24,314 420 320,187 721 458,694
6.NC.T of which: Tropical1 1000 m3 1,028 79 67,741 50 42,635
7 VENEER SHEETS 1000 m3 4 99 206,531 52 155,726
7.C Coniferous 1000 m3 110 20 20,131 1 3,690
7.NC Non-Coniferous 1000 m3 14 79 186,400 51 152,036
7.NC.T of which: Tropical 1000 m3 96 8 11,631 2 9,772
8.1 PLYWOOD 1000 m3 11,968 1,319 1,096,848 330 344,032
8.1.C Coniferous 1000 m3 85 495 304,255 153 125,214
8.1.NC Non-Coniferous 1000 m3 28 823 792,593 177 218,818
8.1.NC.T of which: Tropical 1000 m3 57 156 154,982 60 77,017
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: DE Date:
ITTO2 Name of Official responsible for reply: 0
Official Address (in full): Thünen Institute, Leuschnerstr. 91, 21031 Hamburg
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 44034100 0.0 2.0 0.9 40
44034200 1.0 1,154.0 0.2 83
HS2017: 44034910 5.2 2,700.0 5.1 2,811.0 0.2 189.0 0.2 197
ex4403.12 4403.41/49 44034935 1.5 796.0 3.1 1,676.0 0.1 58.0 0.1 131
HS2012/2007: 44034985 4.9 2,689.0 6.6 3,804.0 4.7 2,599.0 2.9 2,053
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 44072110 0.0 50.0 0.0 59.0 0.0 52.0 0.0 58.0
44072191 0.1 6.0 0.1 1.0
HS2017: 44072199 0.7 56.0 1.4 113.0 0.1 77.0 0.1 191.0
ex4406.12/92 4407.21/22/25/26/27/28/29 44072210 0.8 877.0 1.0 1,110.0 0.9 842.0 0.9 971.0
44072291 0.2 162.0 0.3 300.0 0.0 6.0 0.0 7.0
HS2012/2007: 44072299 0.5 456.0 0.5 498.0 0.1 92.0
ex4406.10/90 4407.21/22/25/26/27/28/30 44072310 0.0 97.0 0.0 1.0
44072320 0.0 15.0 0.0 2.0
44072390 0.4 1,724.0 0.1 750.0
44072510 0.1 115.0 0.3 281.0 0.1 95.0
44072530 0.3 457.0 0.3 535.0 0.1 154.0 0.2 241.0
44072590 12.0 10,271.0 12.3 14,330.0 2.6 2,379.0 2.8 3,170.0
44072690 0.2 179.0 0.0 38.0 0.2 153.0 0.0 38.0
44072710 0.0 36.0 0.1 60.0
44072791 0.3 877.0
44072799 9.2 6,858.0 12.0 9,950.0 7.2 6,803.0 6.6 6,959.0
44072810 0.1 49.0
44072891 0.0 2.0
44072899 2.3 1,804.0 4.1 3,571.0 3.1 3,293.0 3.0 3,621.0
44072915 2.5 1,472.0 1.6 1,179.0 0.1 206.0 0.1 189.0
44072983 3.0 3,273.0 2.6 2,852.0 2.4 4,772.0 17.7 3,407.0
44072985 0.0 3.0 0.1 0.0
44072995 37.0 31,482.0 36.2 23,105.0 18.1 30,209.0 15.7 15,627.0
44072996 0.6 572.0 1.8 1,778.0 0.0 102.0 0.4 354.0
44072997 0.4 544.0 0.0 3.0 0.0 11.0
44072998 5.1 5,881.0 4.0 5,791.0 2.2 5,474.0 2.2 5,583.0
7.NC.T HS2022:
Veneer Sheets, Tropical 4408.31/39 44083121 0.0 15.0
HS2017: 44083130 0.0 18.0 0.0 71.0 0.0 39.0
4408.31/39 44083915 0.0 115.0 0.0 109.0 0.0 399.0 0.1 461.0
HS2012/2007: 44083921 0.1 252.0
4408.31/39 ex4408.90 44083930 0.7 2,871.0 0.9 2,759.0 0.7 1,853.0 0.7 2,102.0
44083955 0.0 2.0 0.1 109.0 0.0 155.0 0.2 298.0
44083970 1.5 2,004.0 1.2 1,915.0
44083985 1.1 3,711.0 0.8 3,774.0 1.0 5,680.0 1.0 5,767.0
44083995 6.3 3,169.0 5.2 2,932.0 0.3 1,978.0 0.1 1,105.0
8.1.NC.T HS2022:
Plywood, Tropical 4412.31/41/51/91 44123110 21 22,220 19 26,437 1 2,217 0.8 1,764.0
HS2017: 44123190 94 66,279 90 87,192 33 39,316 28.7 43,161.0
4412.31 ex4412.94/99 44124191 3 3,030 0.6 717.0
HS2012/2007: 44124199 11 9,504 0.1 56.0
4412.31 ex4412.32/94/99 44125110 11 9,336 24.8 26,333.0
44125190 17 15,117 3.4 3,649.0
44129110 3 2,414 0.5 20.0
44129191 1 858 0.4 737.0
44129199 1 1,094 0.5 580.0
44129410 6 3,733 0 3
44129930 0 0 0 0
44129950 13 11,625 4 4,534
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
DE P.OB 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P.OB 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE 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
DE P 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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DE P 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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DE P 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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DE P 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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DE 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
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TS-JQ3

% Min: 80% Max: 120% Notes
JQ3 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
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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
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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
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Q DE EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q DE EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q DE EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q DE EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q DE EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q DE EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q DE EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q DE EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV DE EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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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
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DE P 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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DE P 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
DE P 1000 m3 EU2_1_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

Annex1 | JQ1-Corres.

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

Annex2 | JQ2-Corres.

FOREST SECTOR QUESTIONNAIRE JQ2 (Supp. 1)
PRIMARY PRODUCTS
Trade
CORRESPONDENCES to HS2022, HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2022 HS2017 HS2012 SITC Rev.4
1 ROUNDWOOD (WOOD IN THE ROUGH) 4401.11/12 44.03 4401.11/12 44.03 4401.10 44.03 245.01 247
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 4401.11/12 4401.11/12 4401.10 245.01
1.1.C Coniferous 4401.11 4401.11 ex4401.10 ex245.01
1.1.NC Non-Coniferous 4401.12 4401.12 ex4401.10 ex245.01
1.2 INDUSTRIAL ROUNDWOOD 44.03 44.03 44.03 247
1.2.C Coniferous 4403.11/21/22/23/24/25/26 4403.11/21/22/23/24/25/26 ex4403.10 4403.20 ex247.3 247.4
1.2.NC Non-Coniferous 4403.12/41/42/49/91/93/94/95/96/97/98/99 4403.12/41/49/91/93/94/95/96/97/98/99 ex4403.10 4403.41/49/91/92/99 ex247.3 247.5 247.9
1.2.NC.T of which: Tropical1 ex4403.12 4403.41/42/49 4403.41/49 ex4403.10 4403.41/49 ex4403.99 ex247.3 247.5 ex247.9
2 WOOD CHARCOAL 4402.90 4402.90 4402.90 ex245.02
3 WOOD CHIPS, PARTICLES AND RESIDUES 4401.21/22 4401.41 ex4401.49 4401.21/22 ex4401.40 4401.21/22 ex4401.39 246.1 ex246.2
3.1 WOOD CHIPS AND PARTICLES 4401.21/22 4401.21/22 4401.21/22 246.1
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 4401.41 ex4401.49++ ex4401.40++ ex4401.39 ex246.2
3.2.1 of which: Sawdust 4401.41 ex4401.40++ ex4401.39 ex246.2
4 RECOVERED POST-CONSUMER WOOD ex4401.49++ ex4401.40++ ex4401.39 ex246.2
5 WOOD PELLETS AND OTHER AGGLOMERATES 4401.31/32/39 4401.31/39 4401.31 ex4401.39 ex246.2
5.1 WOOD PELLETS 4401.31 4401.31 4401.31 ex246.2
5.2 OTHER AGGLOMERATES 4401.32/39 4401.39 ex4401.39 ex246.2
6 SAWNWOOD (INCLUDING SLEEPERS) 44.06 44.07 44.06 44.07 44.06 44.07 248.1 248.2 248.4
6.C Coniferous 4406.11/91 4407.11/12/13/14/19 4406.11/91 4407.11/12/19 ex4406.10/90 4407.10 ex248.11 ex248.19 248.2
6.NC Non-Coniferous 4406.12/92 4407.21/22/23/25/26/27/28/29/91/92/93/94/95/96/97/99 4406.12/92 4407.21/22/25/26/27/28/29/91/92/93/94/95/96/97/99 ex4406.10/90 4407.21/22/25/26/27/28/29/91/92/93/94/95/99 ex248.11 ex248.19 248.4
6.NC.T of which: Tropical1 ex4406.12/92 4407.21/22/23/25/26/27/28/29 4407.21/22/25/26/27/28/29 ex4406.10/90 4407.21/22/25/26/27/28/29 ex4407.99 ex248.11 ex248.19 ex248.4
7 VENEER SHEETS 44.08 44.08 44.08 634.1
7.C Coniferous 4408.10 4408.10 4408.10 634.11
7.NC Non-Coniferous 4408.31/39/90 4408.31/39/90 4408.31/39/90 634.12
7.NC.T of which: Tropical 4408.31/39 4408.31/39 4408.31/39 ex4408.90 ex634.12
8 WOOD-BASED PANELS 44.10 44.11 4412.31/33/34/39/41/42/49/51/52/59/91/92/99 44.10 44.11 4412.31/33/34/39/94/99 44.10 44.11 4412.31/32/39/94/99 634.22/23/31/33/39 634.5
8.1 PLYWOOD 4412.31/33/34/39/41/42/49/51/52/59/91/92/99 4412.31/33/34/39/94/99 4412.31/32/39/94/99 634.31/33/39
8.1.C Coniferous 4412.39/49/59/99 4412.39 ex4412.94 ex4412.99 4412.39 ex4412.94 ex.4412.99 ex634.31 ex634.33 ex634.39
8.1.NC Non-Coniferous 4412.33/34/42/52/92 4412.31/33/34 ex4412.94 ex4412.99 4412.31/32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.1.NC.T of which: Tropical 4412.31/41/51/91 4412.31 ex4412.94 ex4412.99 4412.31 ex4412.32 ex4412.94 ex4412.99 ex634.31 ex634.33 ex634.39
8.1.1 of which: Laminated Veneer Lumber (LVL) 4412.41/42/49 ex4412.99 ex4412.99 ex634.39
8.1.1.C Coniferous 4412.49 ex4412.99 ex4412.99 ex634.39
8.1.1.NC Non-Coniferous 4412.41/42 ex4412.99 ex4412.99 ex634.39
8.1.1.NC.T of which: Tropical 4412.41 ex4412.99 ex4412.99 ex634.39
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) and SIMILAR BOARD 44.10 44.10 44.10 634.22/23
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 4410.12 4410.12 4410.12 ex634.22
8.3 FIBREBOARD 44.11 44.11 44.11 634.5
8.3.1 HARDBOARD 4411.92 4411.92 4411.92 ex634.54 ex634.55
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 4411.12/13 ex4411.14* 4411.12/13 ex4411.14* 4411.12/13 ex4411.14* ex634.54 ex634.55
8.3.3 OTHER FIBREBOARD ex4411.14* 4411.93/94 ex4411.14* 4411.93/94 ex4411.14 4411.93/94 ex634.54 ex634.55
9 WOOD PULP 47.01/02/03/04/05 47.01/02/03/04/05 47.01/02/03/04/05 251.2 251.3 251.4 251.5 251.6 251.91
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 47.01 47.05 47.01 47.05 47.01 47.05 251.2 251.91
9.2 CHEMICAL WOOD PULP 47.03 47.04 47.03 47.04 47.03 47.04 251.4 251.5 251.6
9.2.1 SULPHATE PULP 47.03 47.03 47.03 251.4 251.5
9.2.1.1 of which: BLEACHED 4703.21/29 4703.21/29 4703.21/29 251.5
9.2.2 SULPHITE PULP 47.04 47.04 47.04 251.6
9.3 DISSOLVING GRADES 47.02 47.02 47.02 251.3
10 OTHER PULP 47.06 47.06 47.06 251.92
10.1 PULP FROM FIBRES OTHER THAN WOOD 4706.10/30/91/92/93 4706.10/30/91/92/93 4706.10/30/91/92/93 ex251.92
10.2 RECOVERED FIBRE PULP 4706.20 4706.20 4706.20 ex251.92
11 RECOVERED PAPER 47.07 47.07 47.07 251.1
12 PAPER AND PAPERBOARD 48.01 48.02 48.03 48.04 48.05 48.06 48.08 48.09 48.10 4811.51/59 48.12 48.13 48.01 48.02 48.03 48.04 48.05 48.06 48.08 48.09 48.10 4811.51/59 48.12 48.13 48.01 48.02 48.03 48.04 48.05 48.06 48.08 48.09 48.10 4811.51/59 48.12 48.13 641.1 641.2 641.3 641.4 641.5 641.62/63/64/69/71/72/74/75/76/77/93 642.41
12.1 GRAPHIC PAPERS 48.01 4802.10/20/54/55/56/57/58/61/62/69 48.09 4810.13/14/19/22/29 48.01 4802.10/20/54/55/56/57/58/61/62/69 48.09 4810.13/14/19/22/29 48.01 4802.10/20/54/55/56/57/58/61/62/69 48.09 4810.13/14/19/22/29 641.1 641.21/22/26/29 641.3
12.1.1 NEWSPRINT 48.01 48.01 48.01 641.1
12.1.2 UNCOATED MECHANICAL 4802.61/62/69 4802.61/62/69 4802.61/62/69 641.29
12.1.3 UNCOATED WOODFREE 4802.10/20/54/55/56/57/58 4802.10/20/54/55/56/57/58 4802.10/20/54/55/56/57/58 641.21/22/26
12.1.4 COATED PAPERS 48.09 4810.13/14/19/22/29 48.09 4810.13/14/19/22/29 48.09 4810.13/14/19/22/29 641.3
12.2 HOUSEHOLD AND SANITARY PAPERS 48.03 48.03 48.03 641.63
12.3 PACKAGING MATERIALS 4804.11/19/21/29/31/39/42/49/51/52/59 4805.11/12/19/24/25/30/91/92/93 4806.10/20/40 48.08 4810.31/32/39/92/99 4811.51/59 4804.11/19/21/29/31/39/42/49/51/52/59 4805.11/12/19/24/25/30/91/92/93 4806.10/20/40 48.08 4810.31/32/39/92/99 4811.51/59 4804.11/19/21/29/31/39/42/49/51/52/59 4805.11/12/19/24/25/30/91/92/93 4806.10/20/40 48.08 4810.31/32/39/92/99 4811.51/59 641.41/42/46 ex641.47 641.48/51/52 ex641.53 641.54/59/62/64/69/71/72/74/75/76/77
12.3.1 CASE MATERIALS 4804.11/19 4805.11/12/19/24/25/91 4804.11/19 4805.11/12/19/24/25/91 4804.11/19 4805.11/12/19/24/25/91 641.41/51/54 ex641.59
12.3.2 CARTONBOARD 4804.42/49/51/52/59 4805.92 4810.32/39/92 4811.51/59 4804.42/49/51/52/59 4805.92 4810.32/39/92 4811.51/59 4804.42/49/51/52/59 4805.92 4810.32/39/92 4811.51/59 ex641.47 641.48 ex641.59 641.75/76 ex641.77 641.71/72
12.3.3 WRAPPING PAPERS 4804.21/29/31/39 4805.30 4806.10/20/40 48.08 4810.31/99 4804.21/29/31/39 4805.30 4806.10/20/40 48.08 4810.31/99 4804.21/29/31/39 4805.30 4806.10/20/40 48.08 4810.31/99 641.42/46/52 ex641.53 641.62/64/69/74 ex641.77
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 4805.93 4805.93 4805.93 ex641.59
12.4 OTHER PAPER AND PAPERBOARD N.E.S. 4802.40 4804.41 4805.40/50 4806.30 48.12 48.13 4802.40 4804.41 4805.40/50 4806.30 48.12 48.13 4802.40 4804.41 4805.40/50 4806.30 48.12 48.13 641.24 ex641.47 641.56 ex641.53 641.55/93 642.41
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)2 4418.81/82 ex4418.60 ex4418.60 ex635.39
15.1 GLULAM 4418.81 ex4418.60 ex4418.60 ex635.39
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 4418.82 ex4418.60 ex4418.60 ex635.39
16 I BEAMS (I-JOISTS)2 4418.83 ex4418.60 ex4418.60 ex635.39
1Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
2 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included in JQ1 and JQ2
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017/HS2022 or SITC Rev.4 code is applicable.
For instance "ex4401.49" under product 3.2 means that only a part of HS2022 code 4401.49 refers to wood residues coming from wood processing (the other part coded under 4401.49 is recovered post-consumer wood).
++ Please use your judgement or, as a default, assign half of 4401.49 to item 3.2 and half to item 4 (note different quantity units)
In SITC Rev.4, if only 4 digits are shown, then all sub-headings at lower degrees of aggregation are included (for example, 634.1 includes 634.11 and 634.12).
* Please assign the trade data for HS code 4411.14 to product 8.3.2 (MDF/HDF) and 8.3.3 (other fibreboard) if it is possible to do this in national statistics. If not, please assign all the trade data to item 8.3.2 as in most cases MDF/HDF will represent the large majority of trade.

Annex3 | JQ3-Corres.

FOREST SECTOR QUESTIONNAIRE JQ3 (Supp. 1)
SECONDARY PROCESSED PRODUCTS
Trade
CORRESPONDENCES to HS 2022, HS2017, HS2012 and SITC Rev.4
C l a s s i f i c a t i o n s
Product Product
Code HS2022 HS2017 HS2012 SITC Rev.4
13 SECONDARY WOOD PRODUCTS
13.1 FURTHER PROCESSED SAWNWOOD 4409.10/22/29 4409.10/22/29 4409.10/29 248.3 248.5
13.1.C Coniferous 4409.10 4409.10 4409.10 248.3
13.1.NC Non-coniferous 4409.22/29 4409.22/29 4409.29 248.5
13.1.NC.T of which: Tropical 4409.22 4409.22 ex4409.29 ex248.5
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 44.15/16 44.15/16 44.15/16 635.1 635.2
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 44.14 4419.20 4419.90 44.20 44.14 4419.90 44.20 44.14 ex4419.00 44.20 635.41 ex635.42 635.49
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1 4418.11/19/21/29/30/40/50/74/75/79/89/92/99 4418.10/20/40/50/60/74/75/79/99 4418.10/20/40/50/60 ex4418.71 ex4418.72 ex4418.79 ex4418.90 635.31/32/33 ex635.34 ex635.39
13.5 WOODEN FURNITURE 9401.31/41 9401.61/69/91 9403.30/40/50/60/91 9401.61/69 ex9401.90 9403.30/40/50/60 ex9403.90 9401.61/69 ex9401.90 9403.30/40/50/60 ex9403.90 821.16 ex821.19 821.51/53/55/59 ex821.8
13.6 PREFABRICATED BUILDINGS OF WOOD 9406.10 9406.10 ex94.06 ex811.0
13.7 OTHER MANUFACTURED WOOD PRODUCTS 44.04/05/13/17 4421.10/20/99 44.04/05/13/17 4421.10/99 44.04/05/13/17 4421.10 ex4421.90 634.21/91/93 635.91 ex635.99
14 SECONDARY PAPER PRODUCTS
14.1 COMPOSITE PAPER AND PAPERBOARD 48.07 48.07 48.07 641.92
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 4811.10/41/49/60/90 4811.10/41/49/60/90 4811.10/41/49/60/90 641.73/78/79
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 48.18 48.18 48.18 642.43/94
14.4 PACKAGING CARTONS, BOXES ETC. 48.19 48.19 48.19 642.1
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 48.14/16/17/20/21/22/23 48.14/16/17/20/21/22/23 48.14/16/17/20/21/22/23 641.94 642.2 642.3 642.42/45/91/93/99 892.81
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE ex4823.90 ex4823.90 ex4823.90 ex642.99
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 4823.70 4823.70 4823.70 ex642.99
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 4823.20 4823.20 4823.20 642.45
1 In February 2023 this definition was updated to exclude Glulam, Cross-Laminated Timber and I-Beams which are now distinct items in the JFSQ (15.1, 15.2 and 16).
This change was made to reflect the update of HS2022.
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017/2022 or SITC Rev.4 code is applicable.
For instance "ex811.00" under "Prefabricated buildings of wood" means that only a part of SITC code 811.00 refers to buildings prefabricated from wood, as that code does not distinguish between the materials buildings were prefabricated from.
In SITC Rev.4, if only 4 digits are shown, then all subheadings at lower degrees of aggregation are included (for example, 892.2 includes 892.21 and 892.29).

Annex4 |JQ2-JQ3-Corres.

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

Conversion factors

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

Flatfile

geo stk_flow time prod_wd treespec unit obs_value obs_flag
DE PRD 2021 RW_OB TOTAL THS_M3
DE PRD 2021 RW_FW_OB TOTAL THS_M3
DE PRD 2021 RW_FW_OB CONIF THS_M3
DE PRD 2021 RW_FW_OB NCONIF THS_M3
DE PRD 2021 RW_IN_OB TOTAL THS_M3
DE PRD 2021 RW_IN_OB CONIF THS_M3
DE PRD 2021 RW_IN_OB NCONIF THS_M3
DE PRD 2021 RW_IN_OB NC_TRO THS_M3
DE PRD 2021 RW_IN_LG_OB TOTAL THS_M3
DE PRD 2021 RW_IN_LG_OB CONIF THS_M3
DE PRD 2021 RW_IN_LG_OB NCONIF THS_M3
DE PRD 2021 RW_IN_PW_OB TOTAL THS_M3
DE PRD 2021 RW_IN_PW_OB CONIF THS_M3
DE PRD 2021 RW_IN_PW_OB NCONIF THS_M3
DE PRD 2021 RW_IN_O_OB TOTAL THS_M3
DE PRD 2021 RW_IN_O_OB CONIF THS_M3
DE PRD 2021 RW_IN_O_OB NCONIF THS_M3
DE PRD 2022 RW_OB TOTAL THS_M3
DE PRD 2022 RW_FW_OB TOTAL THS_M3
DE PRD 2022 RW_FW_OB CONIF THS_M3
DE PRD 2022 RW_FW_OB NCONIF THS_M3
DE PRD 2022 RW_IN_OB TOTAL THS_M3
DE PRD 2022 RW_IN_OB CONIF THS_M3
DE PRD 2022 RW_IN_OB NCONIF THS_M3
DE PRD 2022 RW_IN_OB NC_TRO THS_M3
DE PRD 2022 RW_IN_LG_OB TOTAL THS_M3
DE PRD 2022 RW_IN_LG_OB CONIF THS_M3
DE PRD 2022 RW_IN_LG_OB NCONIF THS_M3
DE PRD 2022 RW_IN_PW_OB TOTAL THS_M3
DE PRD 2022 RW_IN_PW_OB CONIF THS_M3
DE PRD 2022 RW_IN_PW_OB NCONIF THS_M3
DE PRD 2022 RW_IN_O_OB TOTAL THS_M3
DE PRD 2022 RW_IN_O_OB CONIF THS_M3
DE PRD 2022 RW_IN_O_OB NCONIF THS_M3
DE PRD 2021 RW TOTAL THS_M3 82178.0183607038 9
DE PRD 2021 RW_FW TOTAL THS_M3 22799.3303073151 9
DE PRD 2021 RW_FW CONIF THS_M3 9095.6350489807 9
DE PRD 2021 RW_FW NCONIF THS_M3 13703.6952583344 9
DE PRD 2021 RW_IN TOTAL THS_M3 59378.6880533887 9
DE PRD 2021 RW_IN CONIF THS_M3 55494.7603266046 9
DE PRD 2021 RW_IN NCONIF THS_M3 3883.9277267841 9
DE PRD 2021 RW_IN NC_TRO THS_M3 0 9
DE PRD 2021 RW_IN_LG TOTAL THS_M3 47427.8250198875 9
DE PRD 2021 RW_IN_LG CONIF THS_M3 44666.1941260633 9
DE PRD 2021 RW_IN_LG NCONIF THS_M3 2761.6308938242 9
DE PRD 2021 RW_IN_PW TOTAL THS_M3 11789.9870335012 9
DE PRD 2021 RW_IN_PW CONIF THS_M3 10675.3341203132 9
DE PRD 2021 RW_IN_PW NCONIF THS_M3 1114.652913188 9
DE PRD 2021 RW_IN_O TOTAL THS_M3 160.876 9
DE PRD 2021 RW_IN_O CONIF THS_M3 153.2320802281 9
DE PRD 2021 RW_IN_O NCONIF THS_M3 7.6439197719 9
DE PRD 2021 CHA TOTAL THS_T 30 9
DE PRD 2021 CHP_RES TOTAL THS_M3 16703.191440378 9
DE PRD 2021 CHP TOTAL THS_M3 11805.133840378 9
DE PRD 2021 RES TOTAL THS_M3 4898.0576 9
DE PRD 2021 RES_SWD TOTAL THS_M3
DE PRD 2021 RCW TOTAL THS_T 8035 9
DE PRD 2021 PEL_AGG TOTAL THS_T 4333.229 9
DE PRD 2021 PEL TOTAL THS_T 3353 9
DE PRD 2021 AGG TOTAL THS_T 980.229
DE PRD 2021 SN TOTAL THS_M3 26438.2958 9
DE PRD 2021 SN CONIF THS_M3 25335.4118 9
DE PRD 2021 SN NCONIF THS_M3 1102.884 9
DE PRD 2021 SN NC_TRO THS_M3 2.028624 9
DE PRD 2021 PN_VN TOTAL THS_M3 115.937 9
DE PRD 2021 PN_VN CONIF THS_M3 13.5440883182 9
DE PRD 2021 PN_VN NCONIF THS_M3 102.3929116818 9
DE PRD 2021 PN_VN NC_TRO THS_M3 1.78805 9
DE PRD 2021 PN TOTAL THS_M3 13525.394565203 9
DE PRD 2021 PN_PY TOTAL THS_M3 103.0116521595 9
DE PRD 2021 PN_PY CONIF THS_M3 44.0996521595 9
DE PRD 2021 PN_PY NCONIF THS_M3 58.912 5
DE PRD 2021 PN_PY NC_TRO THS_M3 0.1702642678 9
DE PRD 2021 PN_PY_LVL TOTAL THS_M3
DE PRD 2021 PN_PY_LVL CONIF THS_M3
DE PRD 2021 PN_PY_LVL NCONIF THS_M3
DE PRD 2021 PN_PY_LVL NC_TRO THS_M3
DE PRD 2021 PN_PB TOTAL THS_M3 7317.814 9
DE PRD 2021 PN_PB_OSB TOTAL THS_M3 1281.538 9
DE PRD 2021 PN_FB TOTAL THS_M3 6104.5689130435 9
DE PRD 2021 PN_FB_HB TOTAL THS_M3 0 9
DE PRD 2021 PN_FB_MDF TOTAL THS_M3 4692.623786961 9
DE PRD 2021 PN_FB_O TOTAL THS_M3 1411.9451260825 9
DE PRD 2021 PL TOTAL THS_T 2327.399 9
DE PRD 2021 PL_MC_SCH TOTAL THS_T 755.958 9
DE PRD 2021 PL_CH TOTAL THS_T 1571.441 9
DE PRD 2021 PL_CH_SA TOTAL THS_T 1065.213 9
DE PRD 2021 PL_CH_SAB TOTAL THS_T 1065.213 9
DE PRD 2021 PL_CH_SI TOTAL THS_T 506.228 9
DE PRD 2021 PL_DS TOTAL THS_T 0 9
DE PRD 2021 PLO TOTAL THS_T 15352.477 9
DE PRD 2021 PLO_NW TOTAL THS_T 56.477 9
DE PRD 2021 PLO_RC TOTAL THS_T 15296 9
DE PRD 2021 RCP TOTAL THS_T 14487.498 9
DE PRD 2021 PP TOTAL THS_T 23127.532 9
DE PRD 2021 PP_GR TOTAL THS_T 6822.53 9
DE PRD 2021 PP_GR_NP TOTAL THS_T 1052.197 9
DE PRD 2021 PP_GR_MC TOTAL THS_T 1808.782 9
DE PRD 2021 PP_GR_NW TOTAL THS_T 1447.551 9
DE PRD 2021 PP_GR_CO TOTAL THS_T 2514 9
DE PRD 2021 PP_HS TOTAL THS_T 1479.322 9
DE PRD 2021 PP_PK TOTAL THS_T 13343.425 9
DE PRD 2021 PP_PK_CS TOTAL THS_T 9978.423 9
DE PRD 2021 PP_PK_CB TOTAL THS_T 1830.53 9
DE PRD 2021 PP_PK_WR TOTAL THS_T 494.551 9
DE PRD 2021 PP_PK_O TOTAL THS_T 1039.921 9
DE PRD 2021 PP_O TOTAL THS_T 1481.785 9
DE PRD 2021 GLT_CLT TOTAL THS_M3 2335 9
DE PRD 2021 GLT TOTAL THS_M3 1289 9
DE PRD 2021 CLT TOTAL THS_M3 1046 9
DE PRD 2021 I_BEAMS TOTAL THS_T
DE PRD 2022 RW TOTAL THS_M3 78871.9473433676
DE PRD 2022 RW_FW TOTAL THS_M3 22337.6213683933
DE PRD 2022 RW_FW CONIF THS_M3 8833.8514800557 9
DE PRD 2022 RW_FW NCONIF THS_M3 13503.7698883376 ERROR:#REF!
DE PRD 2022 RW_IN TOTAL THS_M3 56534.3259749743 9
DE PRD 2022 RW_IN CONIF THS_M3 52424.7423181195 9
DE PRD 2022 RW_IN NCONIF THS_M3 4109.5836568548 9
DE PRD 2022 RW_IN NC_TRO THS_M3 0 9
DE PRD 2022 RW_IN_LG TOTAL THS_M3 44755.7185127789 9
DE PRD 2022 RW_IN_LG CONIF THS_M3 41760.7421681041 9
DE PRD 2022 RW_IN_LG NCONIF THS_M3 2994.9763446747 9
DE PRD 2022 RW_IN_PW TOTAL THS_M3 11644.1004621954 9
DE PRD 2022 RW_IN_PW CONIF THS_M3 10541.1073553038 9
DE PRD 2022 RW_IN_PW NCONIF THS_M3 1102.9931068916 9
DE PRD 2022 RW_IN_O TOTAL THS_M3 134.507 9
DE PRD 2022 RW_IN_O CONIF THS_M3 122.8927947115 9
DE PRD 2022 RW_IN_O NCONIF THS_M3 11.6142052885 9
DE PRD 2022 CHA TOTAL THS_T 30 9
DE PRD 2022 CHP_RES TOTAL THS_M3 16292.0836835167 9
DE PRD 2022 CHP TOTAL THS_M3 11315.4356835167 9
DE PRD 2022 RES TOTAL THS_M3 4976.648 9
DE PRD 2022 RES_SWD TOTAL THS_M3
DE PRD 2022 RCW TOTAL THS_T 8035 9
DE PRD 2022 PEL_AGG TOTAL THS_T 4015.06 9
DE PRD 2022 PEL TOTAL THS_T 3569 9
DE PRD 2022 AGG TOTAL THS_T 446.06
DE PRD 2022 SN TOTAL THS_M3 25341.5878 9
DE PRD 2022 SN CONIF THS_M3 24314.0518 9
DE PRD 2022 SN NCONIF THS_M3 1027.536 9
DE PRD 2022 SN NC_TRO THS_M3 3.577392 9
DE PRD 2022 PN_VN TOTAL THS_M3 110.049 9
DE PRD 2022 PN_VN CONIF THS_M3 14.4151806192 9
DE PRD 2022 PN_VN NCONIF THS_M3 95.6338193808 9
DE PRD 2022 PN_VN NC_TRO THS_M3 3.15315 9
DE PRD 2022 PN TOTAL THS_M3 11968.0024347826 9
DE PRD 2022 PN_PY TOTAL THS_M3 84.6 9
DE PRD 2022 PN_PY CONIF THS_M3 27.809 9
DE PRD 2022 PN_PY NCONIF THS_M3 56.791 5
DE PRD 2022 PN_PY NC_TRO THS_M3 0.1398323079 9
DE PRD 2022 PN_PY_LVL TOTAL THS_M3
DE PRD 2022 PN_PY_LVL CONIF THS_M3
DE PRD 2022 PN_PY_LVL NCONIF THS_M3
DE PRD 2022 PN_PY_LVL NC_TRO THS_M3
DE PRD 2022 PN_PB TOTAL THS_M3 6689.886 9
DE PRD 2022 PN_PB_OSB TOTAL THS_M3 1163.557 9
DE PRD 2022 PN_FB TOTAL THS_M3 5193.5164347826 9
DE PRD 2022 PN_FB_HB TOTAL THS_M3 0 9
DE PRD 2022 PN_FB_MDF TOTAL THS_M3 3791.5481787667 9
DE PRD 2022 PN_FB_O TOTAL THS_M3 1401.9682560159 9
DE PRD 2022 PL TOTAL THS_T 2171.994 9
DE PRD 2022 PL_MC_SCH TOTAL THS_T 666.676 9
DE PRD 2022 PL_CH TOTAL THS_T 1505.318 9
DE PRD 2022 PL_CH_SA TOTAL THS_T 1017.864 9
DE PRD 2022 PL_CH_SAB TOTAL THS_T 1017.864 9
DE PRD 2022 PL_CH_SI TOTAL THS_T 487.454 9
DE PRD 2022 PL_DS TOTAL THS_T 0 9
DE PRD 2022 PLO TOTAL THS_T 14280.498 9
DE PRD 2022 PLO_NW TOTAL THS_T 42.498 9
DE PRD 2022 PLO_RC TOTAL THS_T 14238 9
DE PRD 2022 RCP TOTAL THS_T 13187.683 9
DE PRD 2022 PP TOTAL THS_T 21611.516 9
DE PRD 2022 PP_GR TOTAL THS_T 6194 9
DE PRD 2022 PP_GR_NP TOTAL THS_T 938.9775146281 9
DE PRD 2022 PP_GR_MC TOTAL THS_T 1680.5382461748 9
DE PRD 2022 PP_GR_NW TOTAL THS_T 1327.0850048636 9
DE PRD 2022 PP_GR_CO TOTAL THS_T 2247.3992343335 9
DE PRD 2022 PP_HS TOTAL THS_T 1465.565 9
DE PRD 2022 PP_PK TOTAL THS_T 12535.866 9
DE PRD 2022 PP_PK_CS TOTAL THS_T 9515.774 9
DE PRD 2022 PP_PK_CB TOTAL THS_T 1545.427 9
DE PRD 2022 PP_PK_WR TOTAL THS_T 469.451 9
DE PRD 2022 PP_PK_O TOTAL THS_T 1005.214 9
DE PRD 2022 PP_O TOTAL THS_T 1416.085 9
DE PRD 2022 GLT_CLT TOTAL THS_M3 2112 9
DE PRD 2022 GLT TOTAL THS_M3 1166 9
DE PRD 2022 CLT TOTAL THS_M3 946 9
DE PRD 2022 I_BEAMS TOTAL THS_T
DE IMP 2021 RW TOTAL THS_M3 6535.529
DE IMP 2021 RW_FW TOTAL THS_M3 270.36
DE IMP 2021 RW_FW CONIF THS_M3 94.203
DE IMP 2021 RW_FW NCONIF THS_M3 176.157
DE IMP 2021 RW_IN TOTAL THS_M3 6265.169
DE IMP 2021 RW_IN CONIF THS_M3 5875.775
DE IMP 2021 RW_IN NCONIF THS_M3 389.394
DE IMP 2021 RW_IN NC_TRO THS_M3 11.603
DE IMP 2021 CHA TOTAL THS_T 147.625
DE IMP 2021 CHP_RES TOTAL THS_M3 1108.451
DE IMP 2021 CHP TOTAL THS_M3 393.139
DE IMP 2021 RES TOTAL THS_M3 715.312
DE IMP 2021 RES_SWD TOTAL THS_M3
DE IMP 2021 RCW TOTAL THS_T 935.471
DE IMP 2021 PEL_AGG TOTAL THS_T 761.709
DE IMP 2021 PEL TOTAL THS_T 403.576
DE IMP 2021 AGG TOTAL THS_T 358.133
DE IMP 2021 SN TOTAL THS_M3 5819.319
DE IMP 2021 SN CONIF THS_M3 5317.309
DE IMP 2021 SN NCONIF THS_M3 502.01
DE IMP 2021 SN NC_TRO THS_M3 74.727
DE IMP 2021 PN_VN TOTAL THS_M3 113.923
DE IMP 2021 PN_VN CONIF THS_M3 27.366
DE IMP 2021 PN_VN NCONIF THS_M3 86.557
DE IMP 2021 PN_VN NC_TRO THS_M3 9.676
DE IMP 2021 PN TOTAL THS_M3 6467.367
DE IMP 2021 PN_PY TOTAL THS_M3 1482.895
DE IMP 2021 PN_PY CONIF THS_M3 540.55
DE IMP 2021 PN_PY NCONIF THS_M3 942.345
DE IMP 2021 PN_PY NC_TRO THS_M3 134.101
DE IMP 2021 PN_PY_LVL TOTAL THS_M3
DE IMP 2021 PN_PY_LVL CONIF THS_M3
DE IMP 2021 PN_PY_LVL NCONIF THS_M3
DE IMP 2021 PN_PY_LVL NC_TRO THS_M3
DE IMP 2021 PN_PB TOTAL THS_M3 2958.745
DE IMP 2021 PN_PB_OSB TOTAL THS_M3 758.636
DE IMP 2021 PN_FB TOTAL THS_M3 2025.727
DE IMP 2021 PN_FB_HB TOTAL THS_M3 249.303
DE IMP 2021 PN_FB_MDF TOTAL THS_M3 653.581
DE IMP 2021 PN_FB_O TOTAL THS_M3 1122.843
DE IMP 2021 PL TOTAL THS_T 4534
DE IMP 2021 PL_MC_SCH TOTAL THS_T 155
DE IMP 2021 PL_CH TOTAL THS_T 3968
DE IMP 2021 PL_CH_SA TOTAL THS_T 3897
DE IMP 2021 PL_CH_SAB TOTAL THS_T 3774
DE IMP 2021 PL_CH_SI TOTAL THS_T 71
DE IMP 2021 PL_DS TOTAL THS_T 411
DE IMP 2021 PLO TOTAL THS_T 144
DE IMP 2021 PLO_NW TOTAL THS_T 15
DE IMP 2021 PLO_RC TOTAL THS_T 129
DE IMP 2021 RCP TOTAL THS_T 5639
DE IMP 2021 PP TOTAL THS_T 10114.5456
DE IMP 2021 PP_GR TOTAL THS_T 4052.769
DE IMP 2021 PP_GR_NP TOTAL THS_T 602.255
DE IMP 2021 PP_GR_MC TOTAL THS_T 441.672
DE IMP 2021 PP_GR_NW TOTAL THS_T 1114.5216
DE IMP 2021 PP_GR_CO TOTAL THS_T 1894.3204
DE IMP 2021 PP_HS TOTAL THS_T 156
DE IMP 2021 PP_PK TOTAL THS_T 5711.5758
DE IMP 2021 PP_PK_CS TOTAL THS_T 2956.1588
DE IMP 2021 PP_PK_CB TOTAL THS_T 1409.9316
DE IMP 2021 PP_PK_WR TOTAL THS_T 1045.5548
DE IMP 2021 PP_PK_O TOTAL THS_T 299.9306
DE IMP 2021 PP_O TOTAL THS_T 194.2008
DE IMP 2021 GLT_CLT TOTAL THS_M3
DE IMP 2021 GLT TOTAL THS_M3
DE IMP 2021 CLT TOTAL THS_M3
DE IMP 2021 I_BEAMS TOTAL THS_T
DE IMP 2021 RW TOTAL THS_NAC 472933
DE IMP 2021 RW_FW TOTAL THS_NAC 34851
DE IMP 2021 RW_FW CONIF THS_NAC 10711
DE IMP 2021 RW_FW NCONIF THS_NAC 24140
DE IMP 2021 RW_IN TOTAL THS_NAC 438082
DE IMP 2021 RW_IN CONIF THS_NAC 387080
DE IMP 2021 RW_IN NCONIF THS_NAC 51002
DE IMP 2021 RW_IN NC_TRO THS_NAC 6185
DE IMP 2021 CHA TOTAL THS_NAC 82055
DE IMP 2021 CHP_RES TOTAL THS_NAC 38208
DE IMP 2021 CHP TOTAL THS_NAC 18090
DE IMP 2021 RES TOTAL THS_NAC 20118
DE IMP 2021 RES_SWD TOTAL THS_NAC
DE IMP 2021 RCW TOTAL THS_NAC 43453
DE IMP 2021 PEL_AGG TOTAL THS_NAC 112165
DE IMP 2021 PEL TOTAL THS_NAC 65599
DE IMP 2021 AGG TOTAL THS_NAC 46566
DE IMP 2021 SN TOTAL THS_NAC 1939756
DE IMP 2021 SN CONIF THS_NAC 1646970
DE IMP 2021 SN NCONIF THS_NAC 292786
DE IMP 2021 SN NC_TRO THS_NAC 63910
DE IMP 2021 PN_VN TOTAL THS_NAC 172647
DE IMP 2021 PN_VN CONIF THS_NAC 20761
DE IMP 2021 PN_VN NCONIF THS_NAC 151886
DE IMP 2021 PN_VN NC_TRO THS_NAC 11872
DE IMP 2021 PN TOTAL THS_NAC 2420877
DE IMP 2021 PN_PY TOTAL THS_NAC 942995
DE IMP 2021 PN_PY CONIF THS_NAC 290796
DE IMP 2021 PN_PY NCONIF THS_NAC 652199
DE IMP 2021 PN_PY NC_TRO THS_NAC 103857
DE IMP 2021 PN_PY_LVL TOTAL THS_NAC
DE IMP 2021 PN_PY_LVL CONIF THS_NAC
DE IMP 2021 PN_PY_LVL NCONIF THS_NAC
DE IMP 2021 PN_PY_LVL NC_TRO THS_NAC
DE IMP 2021 PN_PB TOTAL THS_NAC 910456
DE IMP 2021 PN_PB_OSB TOTAL THS_NAC 287924
DE IMP 2021 PN_FB TOTAL THS_NAC 567426
DE IMP 2021 PN_FB_HB TOTAL THS_NAC 102503
DE IMP 2021 PN_FB_MDF TOTAL THS_NAC 326419
DE IMP 2021 PN_FB_O TOTAL THS_NAC 138504
DE IMP 2021 PL TOTAL THS_NAC 2690191
DE IMP 2021 PL_MC_SCH TOTAL THS_NAC 89579
DE IMP 2021 PL_CH TOTAL THS_NAC 2259470
DE IMP 2021 PL_CH_SA TOTAL THS_NAC 2182569
DE IMP 2021 PL_CH_SAB TOTAL THS_NAC 2115094
DE IMP 2021 PL_CH_SI TOTAL THS_NAC 76901
DE IMP 2021 PL_DS TOTAL THS_NAC 341142
DE IMP 2021 PLO TOTAL THS_NAC 41001
DE IMP 2021 PLO_NW TOTAL THS_NAC 20522
DE IMP 2021 PLO_RC TOTAL THS_NAC 20479
DE IMP 2021 RCP TOTAL THS_NAC 1045180
DE IMP 2021 PP TOTAL THS_NAC 7559121.20770379
DE IMP 2021 PP_GR TOTAL THS_NAC 2696754
DE IMP 2021 PP_GR_NP TOTAL THS_NAC 259492
DE IMP 2021 PP_GR_MC TOTAL THS_NAC 283840
DE IMP 2021 PP_GR_NW TOTAL THS_NAC 914800
DE IMP 2021 PP_GR_CO TOTAL THS_NAC 1238622
DE IMP 2021 PP_HS TOTAL THS_NAC 229085.20770379
DE IMP 2021 PP_PK TOTAL THS_NAC 4128534
DE IMP 2021 PP_PK_CS TOTAL THS_NAC 1404557
DE IMP 2021 PP_PK_CB TOTAL THS_NAC 1463445
DE IMP 2021 PP_PK_WR TOTAL THS_NAC 989508
DE IMP 2021 PP_PK_O TOTAL THS_NAC 271024
DE IMP 2021 PP_O TOTAL THS_NAC 504748
DE IMP 2021 GLT_CLT TOTAL THS_NAC
DE IMP 2021 GLT TOTAL THS_NAC
DE IMP 2021 CLT TOTAL THS_NAC
DE IMP 2021 I_BEAMS TOTAL THS_NAC
DE IMP 2022 RW TOTAL THS_M3 5860.231
DE IMP 2022 RW_FW TOTAL THS_M3 283.935
DE IMP 2022 RW_FW CONIF THS_M3 72.879
DE IMP 2022 RW_FW NCONIF THS_M3 211.056
DE IMP 2022 RW_IN TOTAL THS_M3 5576.296
DE IMP 2022 RW_IN CONIF THS_M3 5188.185
DE IMP 2022 RW_IN NCONIF THS_M3 388.111
DE IMP 2022 RW_IN NC_TRO THS_M3 15.807
DE IMP 2022 CHA TOTAL THS_T 133.617
DE IMP 2022 CHP_RES TOTAL THS_M3 2697.993
DE IMP 2022 CHP TOTAL THS_M3 639.237
DE IMP 2022 RES TOTAL THS_M3 1148.2440920962
DE IMP 2022 RES_SWD TOTAL THS_M3 692.987
DE IMP 2022 RCW TOTAL THS_T 569.0703270105
DE IMP 2022 PEL_AGG TOTAL THS_T 813.664
DE IMP 2022 PEL TOTAL THS_T 477.216
DE IMP 2022 AGG TOTAL THS_T 336.448
DE IMP 2022 SN TOTAL THS_M3 4182.693
DE IMP 2022 SN CONIF THS_M3 3762.574
DE IMP 2022 SN NCONIF THS_M3 420.119
DE IMP 2022 SN NC_TRO THS_M3 79.464
DE IMP 2022 PN_VN TOTAL THS_M3 98.768
DE IMP 2022 PN_VN CONIF THS_M3 20.168
DE IMP 2022 PN_VN NCONIF THS_M3 78.6
DE IMP 2022 PN_VN NC_TRO THS_M3 8.251
DE IMP 2022 PN TOTAL THS_M3 5557.796
DE IMP 2022 PN_PY TOTAL THS_M3 1318.706
DE IMP 2022 PN_PY CONIF THS_M3 495.374
DE IMP 2022 PN_PY NCONIF THS_M3 823.332
DE IMP 2022 PN_PY NC_TRO THS_M3 156.009
DE IMP 2022 PN_PY_LVL TOTAL THS_M3 39.438
DE IMP 2022 PN_PY_LVL CONIF THS_M3 14.935
DE IMP 2022 PN_PY_LVL NCONIF THS_M3 24.503
DE IMP 2022 PN_PY_LVL NC_TRO THS_M3 13.677
DE IMP 2022 PN_PB TOTAL THS_M3 2649.168
DE IMP 2022 PN_PB_OSB TOTAL THS_M3 679
DE IMP 2022 PN_FB TOTAL THS_M3 1589.922
DE IMP 2022 PN_FB_HB TOTAL THS_M3 199.623
DE IMP 2022 PN_FB_MDF TOTAL THS_M3 424.18
DE IMP 2022 PN_FB_O TOTAL THS_M3 966.119
DE IMP 2022 PL TOTAL THS_T 4173
DE IMP 2022 PL_MC_SCH TOTAL THS_T 221
DE IMP 2022 PL_CH TOTAL THS_T 3551
DE IMP 2022 PL_CH_SA TOTAL THS_T 3484
DE IMP 2022 PL_CH_SAB TOTAL THS_T 1102
DE IMP 2022 PL_CH_SI TOTAL THS_T 67
DE IMP 2022 PL_DS TOTAL THS_T 401
DE IMP 2022 PLO TOTAL THS_T 143
DE IMP 2022 PLO_NW TOTAL THS_T 19
DE IMP 2022 PLO_RC TOTAL THS_T 124
DE IMP 2022 RCP TOTAL THS_T 5462
DE IMP 2022 PP TOTAL THS_T 9302.0003
DE IMP 2022 PP_GR TOTAL THS_T 3585
DE IMP 2022 PP_GR_NP TOTAL THS_T 609.4009361047
DE IMP 2022 PP_GR_MC TOTAL THS_T 423.1855219339
DE IMP 2022 PP_GR_NW TOTAL THS_T 1055.2532367415
DE IMP 2022 PP_GR_CO TOTAL THS_T 1497.16030522
DE IMP 2022 PP_HS TOTAL THS_T 200
DE IMP 2022 PP_PK TOTAL THS_T 5346
DE IMP 2022 PP_PK_CS TOTAL THS_T 2618.5652710113
DE IMP 2022 PP_PK_CB TOTAL THS_T 1458.638765648
DE IMP 2022 PP_PK_WR TOTAL THS_T 1020.4460460514
DE IMP 2022 PP_PK_O TOTAL THS_T 248.3499172893
DE IMP 2022 PP_O TOTAL THS_T 171.0003
DE IMP 2022 GLT_CLT TOTAL THS_M3 384.275
DE IMP 2022 GLT TOTAL THS_M3 312.556
DE IMP 2022 CLT TOTAL THS_M3 71.719
DE IMP 2022 I_BEAMS TOTAL THS_T 5.507
DE IMP 2022 RW TOTAL THS_NAC 604100
DE IMP 2022 RW_FW TOTAL THS_NAC 61242
DE IMP 2022 RW_FW CONIF THS_NAC 13630
DE IMP 2022 RW_FW NCONIF THS_NAC 47612
DE IMP 2022 RW_IN TOTAL THS_NAC 542858
DE IMP 2022 RW_IN CONIF THS_NAC 470624
DE IMP 2022 RW_IN NCONIF THS_NAC 72234
DE IMP 2022 RW_IN NC_TRO THS_NAC 9447
DE IMP 2022 CHA TOTAL THS_NAC 87395
DE IMP 2022 CHP_RES TOTAL THS_NAC 128166
DE IMP 2022 CHP TOTAL THS_NAC 34068
DE IMP 2022 RES TOTAL THS_NAC 55994
DE IMP 2022 RES_SWD TOTAL THS_NAC 36942
DE IMP 2022 RCW TOTAL THS_NAC 38104
DE IMP 2022 PEL_AGG TOTAL THS_NAC 213052
DE IMP 2022 PEL TOTAL THS_NAC 128199
DE IMP 2022 AGG TOTAL THS_NAC 84853
DE IMP 2022 SN TOTAL THS_NAC 1598111
DE IMP 2022 SN CONIF THS_NAC 1277924
DE IMP 2022 SN NCONIF THS_NAC 320187
DE IMP 2022 SN NC_TRO THS_NAC 67741
DE IMP 2022 PN_VN TOTAL THS_NAC 206531
DE IMP 2022 PN_VN CONIF THS_NAC 20131
DE IMP 2022 PN_VN NCONIF THS_NAC 186400
DE IMP 2022 PN_VN NC_TRO THS_NAC 11631
DE IMP 2022 PN TOTAL THS_NAC 2661839
DE IMP 2022 PN_PY TOTAL THS_NAC 1096848
DE IMP 2022 PN_PY CONIF THS_NAC 304255
DE IMP 2022 PN_PY NCONIF THS_NAC 792593
DE IMP 2022 PN_PY NC_TRO THS_NAC 154982
DE IMP 2022 PN_PY_LVL TOTAL THS_NAC 34670
DE IMP 2022 PN_PY_LVL CONIF THS_NAC 10917
DE IMP 2022 PN_PY_LVL NCONIF THS_NAC 23753
DE IMP 2022 PN_PY_LVL NC_TRO THS_NAC 12534
DE IMP 2022 PN_PB TOTAL THS_NAC 990789
DE IMP 2022 PN_PB_OSB TOTAL THS_NAC 264062
DE IMP 2022 PN_FB TOTAL THS_NAC 574202
DE IMP 2022 PN_FB_HB TOTAL THS_NAC 122521
DE IMP 2022 PN_FB_MDF TOTAL THS_NAC 300959
DE IMP 2022 PN_FB_O TOTAL THS_NAC 150722
DE IMP 2022 PL TOTAL THS_NAC 3311965.58409509
DE IMP 2022 PL_MC_SCH TOTAL THS_NAC 168137.584095093
DE IMP 2022 PL_CH TOTAL THS_NAC 2763368
DE IMP 2022 PL_CH_SA TOTAL THS_NAC 2676476
DE IMP 2022 PL_CH_SAB TOTAL THS_NAC 906587
DE IMP 2022 PL_CH_SI TOTAL THS_NAC 86892
DE IMP 2022 PL_DS TOTAL THS_NAC 380460
DE IMP 2022 PLO TOTAL THS_NAC 63772
DE IMP 2022 PLO_NW TOTAL THS_NAC 37763
DE IMP 2022 PLO_RC TOTAL THS_NAC 26009
DE IMP 2022 RCP TOTAL THS_NAC 1235544.01257609
DE IMP 2022 PP TOTAL THS_NAC 9860429.08485834
DE IMP 2022 PP_GR TOTAL THS_NAC 3817186.12686602
DE IMP 2022 PP_GR_NP TOTAL THS_NAC 490055.542015218
DE IMP 2022 PP_GR_MC TOTAL THS_NAC 387227.759170923
DE IMP 2022 PP_GR_NW TOTAL THS_NAC 1284914.99140338
DE IMP 2022 PP_GR_CO TOTAL THS_NAC 1654987.8342765
DE IMP 2022 PP_HS TOTAL THS_NAC 401692.569499558
DE IMP 2022 PP_PK TOTAL THS_NAC 5119976.05030058
DE IMP 2022 PP_PK_CS TOTAL THS_NAC 1743655.54349096
DE IMP 2022 PP_PK_CB TOTAL THS_NAC 1733506.18993731
DE IMP 2022 PP_PK_WR TOTAL THS_NAC 1330789.98586266
DE IMP 2022 PP_PK_O TOTAL THS_NAC 312024.331009649
DE IMP 2022 PP_O TOTAL THS_NAC 521574.338192179
DE IMP 2022 GLT_CLT TOTAL THS_NAC 264416
DE IMP 2022 GLT TOTAL THS_NAC 217920
DE IMP 2022 CLT TOTAL THS_NAC 46496
DE IMP 2022 I_BEAMS TOTAL THS_NAC 7221
DE EXP 2021 RW TOTAL THS_M3 12157.684
DE EXP 2021 RW_FW TOTAL THS_M3 204.486
DE EXP 2021 RW_FW CONIF THS_M3 122.212
DE EXP 2021 RW_FW NCONIF THS_M3 82.274
DE EXP 2021 RW_IN TOTAL THS_M3 11953.198
DE EXP 2021 RW_IN CONIF THS_M3 10927.383
DE EXP 2021 RW_IN NCONIF THS_M3 1025.815
DE EXP 2021 RW_IN NC_TRO THS_M3 4.999
DE EXP 2021 CHA TOTAL THS_T 29.97
DE EXP 2021 CHP_RES TOTAL THS_M3 2550.63
DE EXP 2021 CHP TOTAL THS_M3 1616.939
DE EXP 2021 RES TOTAL THS_M3 933.691
DE EXP 2021 RES_SWD TOTAL THS_M3
DE EXP 2021 RCW TOTAL THS_T 684.257
DE EXP 2021 PEL_AGG TOTAL THS_T 915.091
DE EXP 2021 PEL TOTAL THS_T 817.257
DE EXP 2021 AGG TOTAL THS_T 97.834
DE EXP 2021 SN TOTAL THS_M3 11333.809
DE EXP 2021 SN CONIF THS_M3 10552.063
DE EXP 2021 SN NCONIF THS_M3 781.746
DE EXP 2021 SN NC_TRO THS_M3 37.601
DE EXP 2021 PN_VN TOTAL THS_M3 62.036
DE EXP 2021 PN_VN CONIF THS_M3 0.604
DE EXP 2021 PN_VN NCONIF THS_M3 61.432
DE EXP 2021 PN_VN NC_TRO THS_M3 2.163
DE EXP 2021 PN TOTAL THS_M3 6786.394
DE EXP 2021 PN_PY TOTAL THS_M3 387.868
DE EXP 2021 PN_PY CONIF THS_M3 168.271
DE EXP 2021 PN_PY NCONIF THS_M3 219.597
DE EXP 2021 PN_PY NC_TRO THS_M3 38.255
DE EXP 2021 PN_PY_LVL TOTAL THS_M3
DE EXP 2021 PN_PY_LVL CONIF THS_M3
DE EXP 2021 PN_PY_LVL NCONIF THS_M3
DE EXP 2021 PN_PY_LVL NC_TRO THS_M3
DE EXP 2021 PN_PB TOTAL THS_M3 2744.779
DE EXP 2021 PN_PB_OSB TOTAL THS_M3 554.892
DE EXP 2021 PN_FB TOTAL THS_M3 3653.747
DE EXP 2021 PN_FB_HB TOTAL THS_M3 30.486238226
DE EXP 2021 PN_FB_MDF TOTAL THS_M3 2936.088761774
DE EXP 2021 PN_FB_O TOTAL THS_M3 687.172
DE EXP 2021 PL TOTAL THS_T 1177
DE EXP 2021 PL_MC_SCH TOTAL THS_T 97
DE EXP 2021 PL_CH TOTAL THS_T 1070
DE EXP 2021 PL_CH_SA TOTAL THS_T 959
DE EXP 2021 PL_CH_SAB TOTAL THS_T 948
DE EXP 2021 PL_CH_SI TOTAL THS_T 111
DE EXP 2021 PL_DS TOTAL THS_T 10
DE EXP 2021 PLO TOTAL THS_T 126
DE EXP 2021 PLO_NW TOTAL THS_T 5
DE EXP 2021 PLO_RC TOTAL THS_T 121
DE EXP 2021 RCP TOTAL THS_T 1829
DE EXP 2021 PP TOTAL THS_T 14165.9832
DE EXP 2021 PP_GR TOTAL THS_T 5007.0716
DE EXP 2021 PP_GR_NP TOTAL THS_T 523.79
DE EXP 2021 PP_GR_MC TOTAL THS_T 816.9402
DE EXP 2021 PP_GR_NW TOTAL THS_T 899.1536
DE EXP 2021 PP_GR_CO TOTAL THS_T 2767.1878
DE EXP 2021 PP_HS TOTAL THS_T 147
DE EXP 2021 PP_PK TOTAL THS_T 8679.2344
DE EXP 2021 PP_PK_CS TOTAL THS_T 5057.9108
DE EXP 2021 PP_PK_CB TOTAL THS_T 2260.8974
DE EXP 2021 PP_PK_WR TOTAL THS_T 1040.8295
DE EXP 2021 PP_PK_O TOTAL THS_T 319.5967
DE EXP 2021 PP_O TOTAL THS_T 332.6772
DE EXP 2021 GLT_CLT TOTAL THS_M3
DE EXP 2021 GLT TOTAL THS_M3
DE EXP 2021 CLT TOTAL THS_M3
DE EXP 2021 I_BEAMS TOTAL THS_T
DE EXP 2021 RW TOTAL THS_NAC 1013808
DE EXP 2021 RW_FW TOTAL THS_NAC 12021
DE EXP 2021 RW_FW CONIF THS_NAC 6602
DE EXP 2021 RW_FW NCONIF THS_NAC 5419
DE EXP 2021 RW_IN TOTAL THS_NAC 1001787
DE EXP 2021 RW_IN CONIF THS_NAC 873711
DE EXP 2021 RW_IN NCONIF THS_NAC 128076
DE EXP 2021 RW_IN NC_TRO THS_NAC 2848
DE EXP 2021 CHA TOTAL THS_NAC 30385
DE EXP 2021 CHP_RES TOTAL THS_NAC 125163
DE EXP 2021 CHP TOTAL THS_NAC 78007
DE EXP 2021 RES TOTAL THS_NAC 47156
DE EXP 2021 RES_SWD TOTAL THS_NAC
DE EXP 2021 RCW TOTAL THS_NAC 45844
DE EXP 2021 PEL_AGG TOTAL THS_NAC 168097
DE EXP 2021 PEL TOTAL THS_NAC 149091
DE EXP 2021 AGG TOTAL THS_NAC 19006
DE EXP 2021 SN TOTAL THS_NAC 3712759
DE EXP 2021 SN CONIF THS_NAC 3277684
DE EXP 2021 SN NCONIF THS_NAC 435075
DE EXP 2021 SN NC_TRO THS_NAC 55775
DE EXP 2021 PN_VN TOTAL THS_NAC 151921
DE EXP 2021 PN_VN CONIF THS_NAC 2799
DE EXP 2021 PN_VN NCONIF THS_NAC 149122
DE EXP 2021 PN_VN NC_TRO THS_NAC 10388
DE EXP 2021 PN TOTAL THS_NAC 2968511
DE EXP 2021 PN_PY TOTAL THS_NAC 326202
DE EXP 2021 PN_PY CONIF THS_NAC 114471.5
DE EXP 2021 PN_PY NCONIF THS_NAC 211730.5
DE EXP 2021 PN_PY NC_TRO THS_NAC 46070
DE EXP 2021 PN_PY_LVL TOTAL THS_NAC
DE EXP 2021 PN_PY_LVL CONIF THS_NAC
DE EXP 2021 PN_PY_LVL NCONIF THS_NAC
DE EXP 2021 PN_PY_LVL NC_TRO THS_NAC
DE EXP 2021 PN_PB TOTAL THS_NAC 783764
DE EXP 2021 PN_PB_OSB TOTAL THS_NAC 196022
DE EXP 2021 PN_FB TOTAL THS_NAC 1858545
DE EXP 2021 PN_FB_HB TOTAL THS_NAC 21088.9850168194
DE EXP 2021 PN_FB_MDF TOTAL THS_NAC 1772071.01498318
DE EXP 2021 PN_FB_O TOTAL THS_NAC 65385
DE EXP 2021 PL TOTAL THS_NAC 757124
DE EXP 2021 PL_MC_SCH TOTAL THS_NAC 46724
DE EXP 2021 PL_CH TOTAL THS_NAC 700916
DE EXP 2021 PL_CH_SA TOTAL THS_NAC 575034
DE EXP 2021 PL_CH_SAB TOTAL THS_NAC 567595
DE EXP 2021 PL_CH_SI TOTAL THS_NAC 125882
DE EXP 2021 PL_DS TOTAL THS_NAC 9484
DE EXP 2021 PLO TOTAL THS_NAC 67000
DE EXP 2021 PLO_NW TOTAL THS_NAC 7178
DE EXP 2021 PLO_RC TOTAL THS_NAC 59822
DE EXP 2021 RCP TOTAL THS_NAC 306254
DE EXP 2021 PP TOTAL THS_NAC 11358944.7739666
DE EXP 2021 PP_GR TOTAL THS_NAC 3740936
DE EXP 2021 PP_GR_NP TOTAL THS_NAC 219742
DE EXP 2021 PP_GR_MC TOTAL THS_NAC 401590
DE EXP 2021 PP_GR_NW TOTAL THS_NAC 987776
DE EXP 2021 PP_GR_CO TOTAL THS_NAC 2131828
DE EXP 2021 PP_HS TOTAL THS_NAC 266992.773966585
DE EXP 2021 PP_PK TOTAL THS_NAC 6490616
DE EXP 2021 PP_PK_CS TOTAL THS_NAC 2527252
DE EXP 2021 PP_PK_CB TOTAL THS_NAC 2560279
DE EXP 2021 PP_PK_WR TOTAL THS_NAC 1128331
DE EXP 2021 PP_PK_O TOTAL THS_NAC 274754
DE EXP 2021 PP_O TOTAL THS_NAC 860400
DE EXP 2021 GLT_CLT TOTAL THS_NAC
DE EXP 2021 GLT TOTAL THS_NAC
DE EXP 2021 CLT TOTAL THS_NAC
DE EXP 2021 I_BEAMS TOTAL THS_NAC
DE EXP 2022 RW TOTAL THS_M3 10096.015
DE EXP 2022 RW_FW TOTAL THS_M3 246.758
DE EXP 2022 RW_FW CONIF THS_M3 180.404
DE EXP 2022 RW_FW NCONIF THS_M3 66.354
DE EXP 2022 RW_IN TOTAL THS_M3 9849.257
DE EXP 2022 RW_IN CONIF THS_M3 8978.226
DE EXP 2022 RW_IN NCONIF THS_M3 871.031
DE EXP 2022 RW_IN NC_TRO THS_M3 4.341
DE EXP 2022 CHA TOTAL THS_T 29.66
DE EXP 2022 CHP_RES TOTAL THS_M3 3570.563
DE EXP 2022 CHP TOTAL THS_M3 2102.693
DE EXP 2022 RES TOTAL THS_M3 945.7166801816
DE EXP 2022 RES_SWD TOTAL THS_M3 684.637
DE EXP 2022 RCW TOTAL THS_T 326.3464707857
DE EXP 2022 PEL_AGG TOTAL THS_T 882.391
DE EXP 2022 PEL TOTAL THS_T 683.443
DE EXP 2022 AGG TOTAL THS_T 198.948
DE EXP 2022 SN TOTAL THS_M3 11502.466
DE EXP 2022 SN CONIF THS_M3 10781.401
DE EXP 2022 SN NCONIF THS_M3 721.065
DE EXP 2022 SN NC_TRO THS_M3 50.317
DE EXP 2022 PN_VN TOTAL THS_M3 51.889
DE EXP 2022 PN_VN CONIF THS_M3 0.857
DE EXP 2022 PN_VN NCONIF THS_M3 51.032
DE EXP 2022 PN_VN NC_TRO THS_M3 2.098
DE EXP 2022 PN TOTAL THS_M3 5772.913
DE EXP 2022 PN_PY TOTAL THS_M3 330.131
DE EXP 2022 PN_PY CONIF THS_M3 153.231
DE EXP 2022 PN_PY NCONIF THS_M3 176.9
DE EXP 2022 PN_PY NC_TRO THS_M3 59.74
DE EXP 2022 PN_PY_LVL TOTAL THS_M3 44.193
DE EXP 2022 PN_PY_LVL CONIF THS_M3 36.953
DE EXP 2022 PN_PY_LVL NCONIF THS_M3 7.24
DE EXP 2022 PN_PY_LVL NC_TRO THS_M3 0.637
DE EXP 2022 PN_PB TOTAL THS_M3 2450.242
DE EXP 2022 PN_PB_OSB TOTAL THS_M3 526.214
DE EXP 2022 PN_FB TOTAL THS_M3 2992.54
DE EXP 2022 PN_FB_HB TOTAL THS_M3 23.4808874946
DE EXP 2022 PN_FB_MDF TOTAL THS_M3 2345.4891125054
DE EXP 2022 PN_FB_O TOTAL THS_M3 623.57
DE EXP 2022 PL TOTAL THS_T 1253
DE EXP 2022 PL_MC_SCH TOTAL THS_T 139
DE EXP 2022 PL_CH TOTAL THS_T 1092
DE EXP 2022 PL_CH_SA TOTAL THS_T 987
DE EXP 2022 PL_CH_SAB TOTAL THS_T 977
DE EXP 2022 PL_CH_SI TOTAL THS_T 105
DE EXP 2022 PL_DS TOTAL THS_T 22
DE EXP 2022 PLO TOTAL THS_T 85
DE EXP 2022 PLO_NW TOTAL THS_T 4
DE EXP 2022 PLO_RC TOTAL THS_T 81
DE EXP 2022 RCP TOTAL THS_T 1612
DE EXP 2022 PP TOTAL THS_T 13078.00046986
DE EXP 2022 PP_GR TOTAL THS_T 4466.77642476
DE EXP 2022 PP_GR_NP TOTAL THS_T 525.01902804
DE EXP 2022 PP_GR_MC TOTAL THS_T 763.44257028
DE EXP 2022 PP_GR_NW TOTAL THS_T 831.56699808
DE EXP 2022 PP_GR_CO TOTAL THS_T 2346.74782836
DE EXP 2022 PP_HS TOTAL THS_T 106
DE EXP 2022 PP_PK TOTAL THS_T 8189.0494929
DE EXP 2022 PP_PK_CS TOTAL THS_T 4770.1823598
DE EXP 2022 PP_PK_CB TOTAL THS_T 2039.83895856
DE EXP 2022 PP_PK_WR TOTAL THS_T 1097.65628622
DE EXP 2022 PP_PK_O TOTAL THS_T 281.37188832
DE EXP 2022 PP_O TOTAL THS_T 316.1745522
DE EXP 2022 GLT_CLT TOTAL THS_M3 492.412
DE EXP 2022 GLT TOTAL THS_M3 437.924
DE EXP 2022 CLT TOTAL THS_M3 54.488
DE EXP 2022 I_BEAMS TOTAL THS_T 0.492
DE EXP 2022 RW TOTAL THS_NAC 1061988
DE EXP 2022 RW_FW TOTAL THS_NAC 19346
DE EXP 2022 RW_FW CONIF THS_NAC 13480
DE EXP 2022 RW_FW NCONIF THS_NAC 5866
DE EXP 2022 RW_IN TOTAL THS_NAC 1042642
DE EXP 2022 RW_IN CONIF THS_NAC 911744
DE EXP 2022 RW_IN NCONIF THS_NAC 130898
DE EXP 2022 RW_IN NC_TRO THS_NAC 2504
DE EXP 2022 CHA TOTAL THS_NAC 29497
DE EXP 2022 CHP_RES TOTAL THS_NAC 236929
DE EXP 2022 CHP TOTAL THS_NAC 123271
DE EXP 2022 RES TOTAL THS_NAC 79785.3333333333
DE EXP 2022 RES_SWD TOTAL THS_NAC 62849
DE EXP 2022 RCW TOTAL THS_NAC 33872.6666666667
DE EXP 2022 PEL_AGG TOTAL THS_NAC 278546
DE EXP 2022 PEL TOTAL THS_NAC 244945
DE EXP 2022 AGG TOTAL THS_NAC 33601
DE EXP 2022 SN TOTAL THS_NAC 3984881
DE EXP 2022 SN CONIF THS_NAC 3526187
DE EXP 2022 SN NCONIF THS_NAC 458694
DE EXP 2022 SN NC_TRO THS_NAC 42635
DE EXP 2022 PN_VN TOTAL THS_NAC 155726
DE EXP 2022 PN_VN CONIF THS_NAC 3690
DE EXP 2022 PN_VN NCONIF THS_NAC 152036
DE EXP 2022 PN_VN NC_TRO THS_NAC 9772
DE EXP 2022 PN TOTAL THS_NAC 3100216
DE EXP 2022 PN_PY TOTAL THS_NAC 344032
DE EXP 2022 PN_PY CONIF THS_NAC 125214
DE EXP 2022 PN_PY NCONIF THS_NAC 218818
DE EXP 2022 PN_PY NC_TRO THS_NAC 77017
DE EXP 2022 PN_PY_LVL TOTAL THS_NAC 47780
DE EXP 2022 PN_PY_LVL CONIF THS_NAC 39742
DE EXP 2022 PN_PY_LVL NCONIF THS_NAC 8038
DE EXP 2022 PN_PY_LVL NC_TRO THS_NAC 773
DE EXP 2022 PN_PB TOTAL THS_NAC 878679
DE EXP 2022 PN_PB_OSB TOTAL THS_NAC 205773
DE EXP 2022 PN_FB TOTAL THS_NAC 1877505
DE EXP 2022 PN_FB_HB TOTAL THS_NAC 20948.3076667116
DE EXP 2022 PN_FB_MDF TOTAL THS_NAC 1784724.69233329
DE EXP 2022 PN_FB_O TOTAL THS_NAC 71832
DE EXP 2022 PL TOTAL THS_NAC 1047942.22456672
DE EXP 2022 PL_MC_SCH TOTAL THS_NAC 99223.2245667196
DE EXP 2022 PL_CH TOTAL THS_NAC 922551
DE EXP 2022 PL_CH_SA TOTAL THS_NAC 778688
DE EXP 2022 PL_CH_SAB TOTAL THS_NAC 770202
DE EXP 2022 PL_CH_SI TOTAL THS_NAC 143863
DE EXP 2022 PL_DS TOTAL THS_NAC 26168
DE EXP 2022 PLO TOTAL THS_NAC 58740
DE EXP 2022 PLO_NW TOTAL THS_NAC 8012
DE EXP 2022 PLO_RC TOTAL THS_NAC 50728
DE EXP 2022 RCP TOTAL THS_NAC 325414.212934182
DE EXP 2022 PP TOTAL THS_NAC 14518949.073494
DE EXP 2022 PP_GR TOTAL THS_NAC 5206671.7660141
DE EXP 2022 PP_GR_NP TOTAL THS_NAC 433172.695540005
DE EXP 2022 PP_GR_MC TOTAL THS_NAC 656298.206249189
DE EXP 2022 PP_GR_NW TOTAL THS_NAC 1288419.03278504
DE EXP 2022 PP_GR_CO TOTAL THS_NAC 2828781.83143987
DE EXP 2022 PP_HS TOTAL THS_NAC 257863.790165322
DE EXP 2022 PP_PK TOTAL THS_NAC 8080788.18591075
DE EXP 2022 PP_PK_CS TOTAL THS_NAC 3212675.64707739
DE EXP 2022 PP_PK_CB TOTAL THS_NAC 3036746.3066195
DE EXP 2022 PP_PK_WR TOTAL THS_NAC 1489013.38067095
DE EXP 2022 PP_PK_O TOTAL THS_NAC 342352.851542911
DE EXP 2022 PP_O TOTAL THS_NAC 973625.331403847
DE EXP 2022 GLT_CLT TOTAL THS_NAC 350350
DE EXP 2022 GLT TOTAL THS_NAC 305849
DE EXP 2022 CLT TOTAL THS_NAC 44501
DE EXP 2022 I_BEAMS TOTAL THS_NAC 589
DE IMP_XEU 2021 RW TOTAL THS_M3 848.623
DE IMP_XEU 2021 RW_FW TOTAL THS_M3 130.017
DE IMP_XEU 2021 RW_FW CONIF THS_M3 13.866
DE IMP_XEU 2021 RW_FW NCONIF THS_M3 116.151
DE IMP_XEU 2021 RW_IN TOTAL THS_M3 718.606
DE IMP_XEU 2021 RW_IN CONIF THS_M3 664.741
DE IMP_XEU 2021 RW_IN NCONIF THS_M3 53.865
DE IMP_XEU 2021 RW_IN NC_TRO THS_M3 11.603
DE IMP_XEU 2021 CHA TOTAL THS_T 80.39
DE IMP_XEU 2021 CHP_RES TOTAL THS_M3 42.005
DE IMP_XEU 2021 CHP TOTAL THS_M3 3.949
DE IMP_XEU 2021 RES TOTAL THS_M3 38.056
DE IMP_XEU 2021 RES_SWD TOTAL THS_M3
DE IMP_XEU 2021 RCW TOTAL THS_T 104.289
DE IMP_XEU 2021 PEL_AGG TOTAL THS_T 231.56
DE IMP_XEU 2021 PEL TOTAL THS_T 92.351
DE IMP_XEU 2021 AGG TOTAL THS_T 139.209
DE IMP_XEU 2021 SN TOTAL THS_M3 1793.875
DE IMP_XEU 2021 SN CONIF THS_M3 1545.157
DE IMP_XEU 2021 SN NCONIF THS_M3 248.718
DE IMP_XEU 2021 SN NC_TRO THS_M3 61.316
DE IMP_XEU 2021 PN_VN TOTAL THS_M3 37.752
DE IMP_XEU 2021 PN_VN CONIF THS_M3 4.099
DE IMP_XEU 2021 PN_VN NCONIF THS_M3 33.653
DE IMP_XEU 2021 PN_VN NC_TRO THS_M3 7.287
DE IMP_XEU 2021 PN TOTAL THS_M3 1017.425
DE IMP_XEU 2021 PN_PY TOTAL THS_M3 626.524
DE IMP_XEU 2021 PN_PY CONIF THS_M3 224.841
DE IMP_XEU 2021 PN_PY NCONIF THS_M3 401.683
DE IMP_XEU 2021 PN_PY NC_TRO THS_M3 38.301
DE IMP_XEU 2021 PN_PY_LVL TOTAL THS_M3
DE IMP_XEU 2021 PN_PY_LVL CONIF THS_M3
DE IMP_XEU 2021 PN_PY_LVL NCONIF THS_M3
DE IMP_XEU 2021 PN_PY_LVL NC_TRO THS_M3
DE IMP_XEU 2021 PN_PB TOTAL THS_M3 227.456
DE IMP_XEU 2021 PN_PB_OSB TOTAL THS_M3 14.471
DE IMP_XEU 2021 PN_FB TOTAL THS_M3 163.445
DE IMP_XEU 2021 PN_FB_HB TOTAL THS_M3 26.407
DE IMP_XEU 2021 PN_FB_MDF TOTAL THS_M3 125.204
DE IMP_XEU 2021 PN_FB_O TOTAL THS_M3 11.834
DE IMP_XEU 2021 PL TOTAL THS_T 1882.4499392847
DE IMP_XEU 2021 PL_MC_SCH TOTAL THS_T 26.4653146457
DE IMP_XEU 2021 PL_CH TOTAL THS_T 1740.9015023295
DE IMP_XEU 2021 PL_CH_SA TOTAL THS_T 1711.4532882688
DE IMP_XEU 2021 PL_CH_SAB TOTAL THS_T 1678.3972419737
DE IMP_XEU 2021 PL_CH_SI TOTAL THS_T 29.4482140607
DE IMP_XEU 2021 PL_DS TOTAL THS_T 115.0831223094
DE IMP_XEU 2021 PLO TOTAL THS_T 105.8402127723
DE IMP_XEU 2021 PLO_NW TOTAL THS_T 8.0353773965
DE IMP_XEU 2021 PLO_RC TOTAL THS_T 97.8048353758
DE IMP_XEU 2021 RCP TOTAL THS_T 427.8960019829
DE IMP_XEU 2021 PP TOTAL THS_T 1201.793
DE IMP_XEU 2021 PP_GR TOTAL THS_T 490.2496145377
DE IMP_XEU 2021 PP_GR_NP TOTAL THS_T 75.9566791476
DE IMP_XEU 2021 PP_GR_MC TOTAL THS_T 55.7034733217
DE IMP_XEU 2021 PP_GR_NW TOTAL THS_T 140.5635821696
DE IMP_XEU 2021 PP_GR_CO TOTAL THS_T 218.0258798988
DE IMP_XEU 2021 PP_HS TOTAL THS_T 18.7985396574
DE IMP_XEU 2021 PP_PK TOTAL THS_T 684.1871105703
DE IMP_XEU 2021 PP_PK_CS TOTAL THS_T 355.0174961222
DE IMP_XEU 2021 PP_PK_CB TOTAL THS_T 176.6454577955
DE IMP_XEU 2021 PP_PK_WR TOTAL THS_T 127.8533513918
DE IMP_XEU 2021 PP_PK_O TOTAL THS_T 24.6708052608
DE IMP_XEU 2021 PP_O TOTAL THS_T 8.5577352345
DE IMP_XEU 2021 GLT_CLT TOTAL THS_M3
DE IMP_XEU 2021 GLT TOTAL THS_M3
DE IMP_XEU 2021 CLT TOTAL THS_M3
DE IMP_XEU 2021 I_BEAMS TOTAL THS_T
DE IMP_XEU 2021 RW TOTAL THS_NAC 91796
DE IMP_XEU 2021 RW_FW TOTAL THS_NAC 17829
DE IMP_XEU 2021 RW_FW CONIF THS_NAC 2132
DE IMP_XEU 2021 RW_FW NCONIF THS_NAC 15697
DE IMP_XEU 2021 RW_IN TOTAL THS_NAC 73967
DE IMP_XEU 2021 RW_IN CONIF THS_NAC 54799
DE IMP_XEU 2021 RW_IN NCONIF THS_NAC 19168
DE IMP_XEU 2021 RW_IN NC_TRO THS_NAC 6185
DE IMP_XEU 2021 CHA TOTAL THS_NAC 42847
DE IMP_XEU 2021 CHP_RES TOTAL THS_NAC 1422
DE IMP_XEU 2021 CHP TOTAL THS_NAC 478
DE IMP_XEU 2021 RES TOTAL THS_NAC 944
DE IMP_XEU 2021 RES_SWD TOTAL THS_NAC
DE IMP_XEU 2021 RCW TOTAL THS_NAC 3914
DE IMP_XEU 2021 PEL_AGG TOTAL THS_NAC 30262
DE IMP_XEU 2021 PEL TOTAL THS_NAC 13362
DE IMP_XEU 2021 AGG TOTAL THS_NAC 16900
DE IMP_XEU 2021 SN TOTAL THS_NAC 601398
DE IMP_XEU 2021 SN CONIF THS_NAC 466691
DE IMP_XEU 2021 SN NCONIF THS_NAC 134707
DE IMP_XEU 2021 SN NC_TRO THS_NAC 44329
DE IMP_XEU 2021 PN_VN TOTAL THS_NAC 54257
DE IMP_XEU 2021 PN_VN CONIF THS_NAC 6146
DE IMP_XEU 2021 PN_VN NCONIF THS_NAC 48111
DE IMP_XEU 2021 PN_VN NC_TRO THS_NAC 5810
DE IMP_XEU 2021 PN TOTAL THS_NAC 460845
DE IMP_XEU 2021 PN_PY TOTAL THS_NAC 306588
DE IMP_XEU 2021 PN_PY CONIF THS_NAC 82057
DE IMP_XEU 2021 PN_PY NCONIF THS_NAC 224531
DE IMP_XEU 2021 PN_PY NC_TRO THS_NAC 26909
DE IMP_XEU 2021 PN_PY_LVL TOTAL THS_NAC
DE IMP_XEU 2021 PN_PY_LVL CONIF THS_NAC
DE IMP_XEU 2021 PN_PY_LVL NCONIF THS_NAC
DE IMP_XEU 2021 PN_PY_LVL NC_TRO THS_NAC
DE IMP_XEU 2021 PN_PB TOTAL THS_NAC 66575
DE IMP_XEU 2021 PN_PB_OSB TOTAL THS_NAC 5615
DE IMP_XEU 2021 PN_FB TOTAL THS_NAC 87682
DE IMP_XEU 2021 PN_FB_HB TOTAL THS_NAC 12596
DE IMP_XEU 2021 PN_FB_MDF TOTAL THS_NAC 72451
DE IMP_XEU 2021 PN_FB_O TOTAL THS_NAC 2635
DE IMP_XEU 2021 PL TOTAL THS_NAC 1141247.10622474
DE IMP_XEU 2021 PL_MC_SCH TOTAL THS_NAC 13578.1062247399
DE IMP_XEU 2021 PL_CH TOTAL THS_NAC 1014842
DE IMP_XEU 2021 PL_CH_SA TOTAL THS_NAC 984093
DE IMP_XEU 2021 PL_CH_SAB TOTAL THS_NAC 962622
DE IMP_XEU 2021 PL_CH_SI TOTAL THS_NAC 30749
DE IMP_XEU 2021 PL_DS TOTAL THS_NAC 112827
DE IMP_XEU 2021 PLO TOTAL THS_NAC 16331.7326988492
DE IMP_XEU 2021 PLO_NW TOTAL THS_NAC 13310.7326988492
DE IMP_XEU 2021 PLO_RC TOTAL THS_NAC 3021
DE IMP_XEU 2021 RCP TOTAL THS_NAC 81418
DE IMP_XEU 2021 PP TOTAL THS_NAC 898191.293319477
DE IMP_XEU 2021 PP_GR TOTAL THS_NAC 339614.090278597
DE IMP_XEU 2021 PP_GR_NP TOTAL THS_NAC 32519.6116688322
DE IMP_XEU 2021 PP_GR_MC TOTAL THS_NAC 35570.9099936851
DE IMP_XEU 2021 PP_GR_NW TOTAL THS_NAC 114642.997682579
DE IMP_XEU 2021 PP_GR_CO TOTAL THS_NAC 156880.570933501
DE IMP_XEU 2021 PP_HS TOTAL THS_NAC 25342.5188864959
DE IMP_XEU 2021 PP_PK TOTAL THS_NAC 505985.41711557
DE IMP_XEU 2021 PP_PK_CS TOTAL THS_NAC 187623.767547512
DE IMP_XEU 2021 PP_PK_CB TOTAL THS_NAC 182345.151778614
DE IMP_XEU 2021 PP_PK_WR TOTAL THS_NAC 123331.703755303
DE IMP_XEU 2021 PP_PK_O TOTAL THS_NAC 12684.7940341418
DE IMP_XEU 2021 PP_O TOTAL THS_NAC 27249.2670388138
DE IMP_XEU 2021 GLT_CLT TOTAL THS_NAC
DE IMP_XEU 2021 GLT TOTAL THS_NAC
DE IMP_XEU 2021 CLT TOTAL THS_NAC
DE IMP_XEU 2021 I_BEAMS TOTAL THS_NAC
DE IMP_XEU 2022 RW TOTAL THS_M3 936.898
DE IMP_XEU 2022 RW_FW TOTAL THS_M3 101.726
DE IMP_XEU 2022 RW_FW CONIF THS_M3 7.166
DE IMP_XEU 2022 RW_FW NCONIF THS_M3 94.56
DE IMP_XEU 2022 RW_IN TOTAL THS_M3 835.172
DE IMP_XEU 2022 RW_IN CONIF THS_M3 750.881
DE IMP_XEU 2022 RW_IN NCONIF THS_M3 84.291
DE IMP_XEU 2022 RW_IN NC_TRO THS_M3 15.807
DE IMP_XEU 2022 CHA TOTAL THS_T 75.514
DE IMP_XEU 2022 CHP_RES TOTAL THS_M3 206.63
DE IMP_XEU 2022 CHP TOTAL THS_M3 35.412
DE IMP_XEU 2022 RES TOTAL THS_M3 80.2602661845
DE IMP_XEU 2022 RES_SWD TOTAL THS_M3 34.78
DE IMP_XEU 2022 RCW TOTAL THS_T 56.8495313638
DE IMP_XEU 2022 PEL_AGG TOTAL THS_T 201.485
DE IMP_XEU 2022 PEL TOTAL THS_T 93.026
DE IMP_XEU 2022 AGG TOTAL THS_T 108.459
DE IMP_XEU 2022 SN TOTAL THS_M3 947.501
DE IMP_XEU 2022 SN CONIF THS_M3 771.31
DE IMP_XEU 2022 SN NCONIF THS_M3 176.191
DE IMP_XEU 2022 SN NC_TRO THS_M3 69.82
DE IMP_XEU 2022 PN_VN TOTAL THS_M3 30.505
DE IMP_XEU 2022 PN_VN CONIF THS_M3 3.282
DE IMP_XEU 2022 PN_VN NCONIF THS_M3 27.223
DE IMP_XEU 2022 PN_VN NC_TRO THS_M3 6.637
DE IMP_XEU 2022 PN TOTAL THS_M3 884.968
DE IMP_XEU 2022 PN_PY TOTAL THS_M3 560.131
DE IMP_XEU 2022 PN_PY CONIF THS_M3 239.987
DE IMP_XEU 2022 PN_PY NCONIF THS_M3 320.144
DE IMP_XEU 2022 PN_PY NC_TRO THS_M3 37.434
DE IMP_XEU 2022 PN_PY_LVL TOTAL THS_M3 7.264
DE IMP_XEU 2022 PN_PY_LVL CONIF THS_M3 0.32
DE IMP_XEU 2022 PN_PY_LVL NCONIF THS_M3 6.944
DE IMP_XEU 2022 PN_PY_LVL NC_TRO THS_M3 1.809
DE IMP_XEU 2022 PN_PB TOTAL THS_M3 226.617
DE IMP_XEU 2022 PN_PB_OSB TOTAL THS_M3 5.137
DE IMP_XEU 2022 PN_FB TOTAL THS_M3 98.22
DE IMP_XEU 2022 PN_FB_HB TOTAL THS_M3 27.955
DE IMP_XEU 2022 PN_FB_MDF TOTAL THS_M3 62.5
DE IMP_XEU 2022 PN_FB_O TOTAL THS_M3 7.765
DE IMP_XEU 2022 PL TOTAL THS_T 1834.9677485729
DE IMP_XEU 2022 PL_MC_SCH TOTAL THS_T 54.0948516499
DE IMP_XEU 2022 PL_CH TOTAL THS_T 1672.2842305509
DE IMP_XEU 2022 PL_CH_SA TOTAL THS_T 1649.4045621272
DE IMP_XEU 2022 PL_CH_SAB TOTAL THS_T 538.4835946236
DE IMP_XEU 2022 PL_CH_SI TOTAL THS_T 22.8796684237
DE IMP_XEU 2022 PL_DS TOTAL THS_T 108.5886663722
DE IMP_XEU 2022 PLO TOTAL THS_T 105.8083998759
DE IMP_XEU 2022 PLO_NW TOTAL THS_T 9.4194834979
DE IMP_XEU 2022 PLO_RC TOTAL THS_T 96.388916378
DE IMP_XEU 2022 RCP TOTAL THS_T 376.1254937336
DE IMP_XEU 2022 PP TOTAL THS_T 1243.183
DE IMP_XEU 2022 PP_GR TOTAL THS_T 489.5162866918
DE IMP_XEU 2022 PP_GR_NP TOTAL THS_T 82.6636404562
DE IMP_XEU 2022 PP_GR_MC TOTAL THS_T 56.8138636363
DE IMP_XEU 2022 PP_GR_NW TOTAL THS_T 149.0790882083
DE IMP_XEU 2022 PP_GR_CO TOTAL THS_T 200.959694391
DE IMP_XEU 2022 PP_HS TOTAL THS_T 27.7922725796
DE IMP_XEU 2022 PP_PK TOTAL THS_T 715.9058008715
DE IMP_XEU 2022 PP_PK_CS TOTAL THS_T 358.9533571829
DE IMP_XEU 2022 PP_PK_CB TOTAL THS_T 196.1541638487
DE IMP_XEU 2022 PP_PK_WR TOTAL THS_T 134.9743878758
DE IMP_XEU 2022 PP_PK_O TOTAL THS_T 25.8238919642
DE IMP_XEU 2022 PP_O TOTAL THS_T 9.9686398571
DE IMP_XEU 2022 GLT_CLT TOTAL THS_M3 6.463
DE IMP_XEU 2022 GLT TOTAL THS_M3 6.305
DE IMP_XEU 2022 CLT TOTAL THS_M3 0.158
DE IMP_XEU 2022 I_BEAMS TOTAL THS_T 0.002
DE IMP_XEU 2022 RW TOTAL THS_NAC 124971
DE IMP_XEU 2022 RW_FW TOTAL THS_NAC 22327
DE IMP_XEU 2022 RW_FW CONIF THS_NAC 1593
DE IMP_XEU 2022 RW_FW NCONIF THS_NAC 20734
DE IMP_XEU 2022 RW_IN TOTAL THS_NAC 102644
DE IMP_XEU 2022 RW_IN CONIF THS_NAC 72810
DE IMP_XEU 2022 RW_IN NCONIF THS_NAC 29834
DE IMP_XEU 2022 RW_IN NC_TRO THS_NAC 9447
DE IMP_XEU 2022 CHA TOTAL THS_NAC 49495
DE IMP_XEU 2022 CHP_RES TOTAL THS_NAC 6867
DE IMP_XEU 2022 CHP TOTAL THS_NAC 2940
DE IMP_XEU 2022 RES TOTAL THS_NAC 2105.6666666667
DE IMP_XEU 2022 RES_SWD TOTAL THS_NAC 1195
DE IMP_XEU 2022 RCW TOTAL THS_NAC 1821.3333333333
DE IMP_XEU 2022 PEL_AGG TOTAL THS_NAC 53411
DE IMP_XEU 2022 PEL TOTAL THS_NAC 24461
DE IMP_XEU 2022 AGG TOTAL THS_NAC 28950
DE IMP_XEU 2022 SN TOTAL THS_NAC 447746
DE IMP_XEU 2022 SN CONIF THS_NAC 300749
DE IMP_XEU 2022 SN NCONIF THS_NAC 146997
DE IMP_XEU 2022 SN NC_TRO THS_NAC 59089
DE IMP_XEU 2022 PN_VN TOTAL THS_NAC 72325
DE IMP_XEU 2022 PN_VN CONIF THS_NAC 7928
DE IMP_XEU 2022 PN_VN NCONIF THS_NAC 64397
DE IMP_XEU 2022 PN_VN NC_TRO THS_NAC 7006
DE IMP_XEU 2022 PN TOTAL THS_NAC 520849
DE IMP_XEU 2022 PN_PY TOTAL THS_NAC 356197
DE IMP_XEU 2022 PN_PY CONIF THS_NAC 108982
DE IMP_XEU 2022 PN_PY NCONIF THS_NAC 247215
DE IMP_XEU 2022 PN_PY NC_TRO THS_NAC 40371
DE IMP_XEU 2022 PN_PY_LVL TOTAL THS_NAC 6302
DE IMP_XEU 2022 PN_PY_LVL CONIF THS_NAC 143
DE IMP_XEU 2022 PN_PY_LVL NCONIF THS_NAC 6159
DE IMP_XEU 2022 PN_PY_LVL NC_TRO THS_NAC 1881
DE IMP_XEU 2022 PN_PB TOTAL THS_NAC 81770
DE IMP_XEU 2022 PN_PB_OSB TOTAL THS_NAC 1584
DE IMP_XEU 2022 PN_FB TOTAL THS_NAC 82882
DE IMP_XEU 2022 PN_FB_HB TOTAL THS_NAC 26510
DE IMP_XEU 2022 PN_FB_MDF TOTAL THS_NAC 54069
DE IMP_XEU 2022 PN_FB_O TOTAL THS_NAC 2303
DE IMP_XEU 2022 PL TOTAL THS_NAC 1544183.94824269
DE IMP_XEU 2022 PL_MC_SCH TOTAL THS_NAC 42708.093018499
DE IMP_XEU 2022 PL_CH TOTAL THS_NAC 1366823.63598897
DE IMP_XEU 2022 PL_CH_SA TOTAL THS_NAC 1336204.95287398
DE IMP_XEU 2022 PL_CH_SAB TOTAL THS_NAC 463253.075310552
DE IMP_XEU 2022 PL_CH_SI TOTAL THS_NAC 30618.6831149877
DE IMP_XEU 2022 PL_DS TOTAL THS_NAC 134652.219235218
DE IMP_XEU 2022 PLO TOTAL THS_NAC 31212.3305446465
DE IMP_XEU 2022 PLO_NW TOTAL THS_NAC 27007.1198454268
DE IMP_XEU 2022 PLO_RC TOTAL THS_NAC 4205.2106992198
DE IMP_XEU 2022 RCP TOTAL THS_NAC 94875.6145192071
DE IMP_XEU 2022 PP TOTAL THS_NAC 1317815.28821774
DE IMP_XEU 2022 PP_GR TOTAL THS_NAC 537053.181528004
DE IMP_XEU 2022 PP_GR_NP TOTAL THS_NAC 68218.852572598
DE IMP_XEU 2022 PP_GR_MC TOTAL THS_NAC 53394.2345005275
DE IMP_XEU 2022 PP_GR_NW TOTAL THS_NAC 185633.20942574
DE IMP_XEU 2022 PP_GR_CO TOTAL THS_NAC 229806.885029139
DE IMP_XEU 2022 PP_HS TOTAL THS_NAC 51846.9370132294
DE IMP_XEU 2022 PP_PK TOTAL THS_NAC 695926.990266667
DE IMP_XEU 2022 PP_PK_CS TOTAL THS_NAC 251528.795546229
DE IMP_XEU 2022 PP_PK_CB TOTAL THS_NAC 241997.762054883
DE IMP_XEU 2022 PP_PK_WR TOTAL THS_NAC 182068.62465205
DE IMP_XEU 2022 PP_PK_O TOTAL THS_NAC 20331.8080135061
DE IMP_XEU 2022 PP_O TOTAL THS_NAC 32988.1794098427
DE IMP_XEU 2022 GLT_CLT TOTAL THS_NAC 6715
DE IMP_XEU 2022 GLT TOTAL THS_NAC 6518
DE IMP_XEU 2022 CLT TOTAL THS_NAC 197
DE IMP_XEU 2022 I_BEAMS TOTAL THS_NAC 4
DE EXP_XEU 2021 RW TOTAL THS_M3 4831.626
DE EXP_XEU 2021 RW_FW TOTAL THS_M3 4.085
DE EXP_XEU 2021 RW_FW CONIF THS_M3 0.494
DE EXP_XEU 2021 RW_FW NCONIF THS_M3 3.591
DE EXP_XEU 2021 RW_IN TOTAL THS_M3 4827.541
DE EXP_XEU 2021 RW_IN CONIF THS_M3 4365.589
DE EXP_XEU 2021 RW_IN NCONIF THS_M3 461.952
DE EXP_XEU 2021 RW_IN NC_TRO THS_M3 0.061
DE EXP_XEU 2021 CHA TOTAL THS_T 5.495
DE EXP_XEU 2021 CHP_RES TOTAL THS_M3 268.496
DE EXP_XEU 2021 CHP TOTAL THS_M3 125.239
DE EXP_XEU 2021 RES TOTAL THS_M3 143.257
DE EXP_XEU 2021 RES_SWD TOTAL THS_M3
DE EXP_XEU 2021 RCW TOTAL THS_T 35.105
DE EXP_XEU 2021 PEL_AGG TOTAL THS_T 70.511
DE EXP_XEU 2021 PEL TOTAL THS_T 40.595
DE EXP_XEU 2021 AGG TOTAL THS_T 29.916
DE EXP_XEU 2021 SN TOTAL THS_M3 4874.529
DE EXP_XEU 2021 SN CONIF THS_M3 4430.369
DE EXP_XEU 2021 SN NCONIF THS_M3 444.16
DE EXP_XEU 2021 SN NC_TRO THS_M3 7.705
DE EXP_XEU 2021 PN_VN TOTAL THS_M3 13.125
DE EXP_XEU 2021 PN_VN CONIF THS_M3 0.291
DE EXP_XEU 2021 PN_VN NCONIF THS_M3 12.834
DE EXP_XEU 2021 PN_VN NC_TRO THS_M3 1.111
DE EXP_XEU 2021 PN TOTAL THS_M3 1744.166
DE EXP_XEU 2021 PN_PY TOTAL THS_M3 105.04
DE EXP_XEU 2021 PN_PY CONIF THS_M3 74.347
DE EXP_XEU 2021 PN_PY NCONIF THS_M3 30.693
DE EXP_XEU 2021 PN_PY NC_TRO THS_M3 4.264
DE EXP_XEU 2021 PN_PY_LVL TOTAL THS_M3
DE EXP_XEU 2021 PN_PY_LVL CONIF THS_M3
DE EXP_XEU 2021 PN_PY_LVL NCONIF THS_M3
DE EXP_XEU 2021 PN_PY_LVL NC_TRO THS_M3
DE EXP_XEU 2021 PN_PB TOTAL THS_M3 506.522
DE EXP_XEU 2021 PN_PB_OSB TOTAL THS_M3 195.369
DE EXP_XEU 2021 PN_FB TOTAL THS_M3 880.1243911936
DE EXP_XEU 2021 PN_FB_HB TOTAL THS_M3 13.6491775916
DE EXP_XEU 2021 PN_FB_MDF TOTAL THS_M3 621.3092136021
DE EXP_XEU 2021 PN_FB_O TOTAL THS_M3 245.166
DE EXP_XEU 2021 PL TOTAL THS_T 307.2314583924
DE EXP_XEU 2021 PL_MC_SCH TOTAL THS_T 26.1816903209
DE EXP_XEU 2021 PL_CH TOTAL THS_T 279.9779020037
DE EXP_XEU 2021 PL_CH_SA TOTAL THS_T 245.6578069901
DE EXP_XEU 2021 PL_CH_SAB TOTAL THS_T 239.5599167667
DE EXP_XEU 2021 PL_CH_SI TOTAL THS_T 34.3200950136
DE EXP_XEU 2021 PL_DS TOTAL THS_T 1.0718660678
DE EXP_XEU 2021 PLO TOTAL THS_T 49.0468203942
DE EXP_XEU 2021 PLO_NW TOTAL THS_T 2.3726064538
DE EXP_XEU 2021 PLO_RC TOTAL THS_T 46.6742139404
DE EXP_XEU 2021 RCP TOTAL THS_T 147.7323451298
DE EXP_XEU 2021 PP TOTAL THS_T 3750.938
DE EXP_XEU 2021 PP_GR TOTAL THS_T 1335.7067011297
DE EXP_XEU 2021 PP_GR_NP TOTAL THS_T 138.594330597
DE EXP_XEU 2021 PP_GR_MC TOTAL THS_T 216.1643329411
DE EXP_XEU 2021 PP_GR_NW TOTAL THS_T 237.9249994467
DE EXP_XEU 2021 PP_GR_CO TOTAL THS_T 743.0230381448
DE EXP_XEU 2021 PP_HS TOTAL THS_T 38.661433185
DE EXP_XEU 2021 PP_PK TOTAL THS_T 2353.1125869031
DE EXP_XEU 2021 PP_PK_CS TOTAL THS_T 1392.40297464
DE EXP_XEU 2021 PP_PK_CB TOTAL THS_T 566.0527772709
DE EXP_XEU 2021 PP_PK_WR TOTAL THS_T 317.4956389437
DE EXP_XEU 2021 PP_PK_O TOTAL THS_T 77.1611960485
DE EXP_XEU 2021 PP_O TOTAL THS_T 23.4572787823
DE EXP_XEU 2021 GLT_CLT TOTAL THS_M3
DE EXP_XEU 2021 GLT TOTAL THS_M3
DE EXP_XEU 2021 CLT TOTAL THS_M3
DE EXP_XEU 2021 I_BEAMS TOTAL THS_T
DE EXP_XEU 2021 RW TOTAL THS_NAC 542552
DE EXP_XEU 2021 RW_FW TOTAL THS_NAC 1215
DE EXP_XEU 2021 RW_FW CONIF THS_NAC 129
DE EXP_XEU 2021 RW_FW NCONIF THS_NAC 1086
DE EXP_XEU 2021 RW_IN TOTAL THS_NAC 541337
DE EXP_XEU 2021 RW_IN CONIF THS_NAC 464336
DE EXP_XEU 2021 RW_IN NCONIF THS_NAC 77001
DE EXP_XEU 2021 RW_IN NC_TRO THS_NAC 253
DE EXP_XEU 2021 CHA TOTAL THS_NAC 4969
DE EXP_XEU 2021 CHP_RES TOTAL THS_NAC 19637
DE EXP_XEU 2021 CHP TOTAL THS_NAC 9913
DE EXP_XEU 2021 RES TOTAL THS_NAC 9724
DE EXP_XEU 2021 RES_SWD TOTAL THS_NAC
DE EXP_XEU 2021 RCW TOTAL THS_NAC 6631
DE EXP_XEU 2021 PEL_AGG TOTAL THS_NAC 17673
DE EXP_XEU 2021 PEL TOTAL THS_NAC 9756
DE EXP_XEU 2021 AGG TOTAL THS_NAC 7917
DE EXP_XEU 2021 SN TOTAL THS_NAC 1737382
DE EXP_XEU 2021 SN CONIF THS_NAC 1522492
DE EXP_XEU 2021 SN NCONIF THS_NAC 214890
DE EXP_XEU 2021 SN NC_TRO THS_NAC 11854
DE EXP_XEU 2021 PN_VN TOTAL THS_NAC 52297
DE EXP_XEU 2021 PN_VN CONIF THS_NAC 1012
DE EXP_XEU 2021 PN_VN NCONIF THS_NAC 51285
DE EXP_XEU 2021 PN_VN NC_TRO THS_NAC 3162
DE EXP_XEU 2021 PN TOTAL THS_NAC 882390
DE EXP_XEU 2021 PN_PY TOTAL THS_NAC 99822
DE EXP_XEU 2021 PN_PY CONIF THS_NAC 62349
DE EXP_XEU 2021 PN_PY NCONIF THS_NAC 37473
DE EXP_XEU 2021 PN_PY NC_TRO THS_NAC 4281
DE EXP_XEU 2021 PN_PY_LVL TOTAL THS_NAC
DE EXP_XEU 2021 PN_PY_LVL CONIF THS_NAC
DE EXP_XEU 2021 PN_PY_LVL NCONIF THS_NAC
DE EXP_XEU 2021 PN_PY_LVL NC_TRO THS_NAC
DE EXP_XEU 2021 PN_PB TOTAL THS_NAC 161960
DE EXP_XEU 2021 PN_PB_OSB TOTAL THS_NAC 70788
DE EXP_XEU 2021 PN_FB TOTAL THS_NAC 471133.803927435
DE EXP_XEU 2021 PN_FB_HB TOTAL THS_NAC 9454.9360192202
DE EXP_XEU 2021 PN_FB_MDF TOTAL THS_NAC 436406.867908214
DE EXP_XEU 2021 PN_FB_O TOTAL THS_NAC 25272
DE EXP_XEU 2021 PL TOTAL THS_NAC 210463.029893205
DE EXP_XEU 2021 PL_MC_SCH TOTAL THS_NAC 12917.0298932052
DE EXP_XEU 2021 PL_CH TOTAL THS_NAC 197033
DE EXP_XEU 2021 PL_CH_SA TOTAL THS_NAC 143401
DE EXP_XEU 2021 PL_CH_SAB TOTAL THS_NAC 139340
DE EXP_XEU 2021 PL_CH_SI TOTAL THS_NAC 53632
DE EXP_XEU 2021 PL_DS TOTAL THS_NAC 513
DE EXP_XEU 2021 PLO TOTAL THS_NAC 27995.1623388597
DE EXP_XEU 2021 PLO_NW TOTAL THS_NAC 3290.1623388597
DE EXP_XEU 2021 PLO_RC TOTAL THS_NAC 24705
DE EXP_XEU 2021 RCP TOTAL THS_NAC 25086
DE EXP_XEU 2021 PP TOTAL THS_NAC 3007726.42467212
DE EXP_XEU 2021 PP_GR TOTAL THS_NAC 1043697.83586142
DE EXP_XEU 2021 PP_GR_NP TOTAL THS_NAC 59787.8111267449
DE EXP_XEU 2021 PP_GR_MC TOTAL THS_NAC 109265.352415057
DE EXP_XEU 2021 PP_GR_NW TOTAL THS_NAC 268755.927057784
DE EXP_XEU 2021 PP_GR_CO TOTAL THS_NAC 605888.745261832
DE EXP_XEU 2021 PP_HS TOTAL THS_NAC 62013.440706055
DE EXP_XEU 2021 PP_PK TOTAL THS_NAC 1815900.96870596
DE EXP_XEU 2021 PP_PK_CS TOTAL THS_NAC 744457.31353162
DE EXP_XEU 2021 PP_PK_CB TOTAL THS_NAC 673769.631185224
DE EXP_XEU 2021 PP_PK_WR TOTAL THS_NAC 349966.103090028
DE EXP_XEU 2021 PP_PK_O TOTAL THS_NAC 47707.9208990906
DE EXP_XEU 2021 PP_O TOTAL THS_NAC 86114.1793986852
DE EXP_XEU 2021 GLT_CLT TOTAL THS_NAC
DE EXP_XEU 2021 GLT TOTAL THS_NAC
DE EXP_XEU 2021 CLT TOTAL THS_NAC
DE EXP_XEU 2021 I_BEAMS TOTAL THS_NAC
DE EXP_XEU 2022 RW TOTAL THS_M3 3773.949
DE EXP_XEU 2022 RW_FW TOTAL THS_M3 14.83
DE EXP_XEU 2022 RW_FW CONIF THS_M3 6.613
DE EXP_XEU 2022 RW_FW NCONIF THS_M3 8.217
DE EXP_XEU 2022 RW_IN TOTAL THS_M3 3759.119
DE EXP_XEU 2022 RW_IN CONIF THS_M3 3296.674
DE EXP_XEU 2022 RW_IN NCONIF THS_M3 462.445
DE EXP_XEU 2022 RW_IN NC_TRO THS_M3 1.178
DE EXP_XEU 2022 CHA TOTAL THS_T 4.822
DE EXP_XEU 2022 CHP_RES TOTAL THS_M3 406.728
DE EXP_XEU 2022 CHP TOTAL THS_M3 214.484
DE EXP_XEU 2022 RES TOTAL THS_M3 161.5916770784
DE EXP_XEU 2022 RES_SWD TOTAL THS_M3 146.264
DE EXP_XEU 2022 RCW TOTAL THS_T 19.1573997657
DE EXP_XEU 2022 PEL_AGG TOTAL THS_T 68.691
DE EXP_XEU 2022 PEL TOTAL THS_T 42.375
DE EXP_XEU 2022 AGG TOTAL THS_T 26.316
DE EXP_XEU 2022 SN TOTAL THS_M3 5950.768
DE EXP_XEU 2022 SN CONIF THS_M3 5542.616
DE EXP_XEU 2022 SN NCONIF THS_M3 408.152
DE EXP_XEU 2022 SN NC_TRO THS_M3 7.258
DE EXP_XEU 2022 PN_VN TOTAL THS_M3 14.38
DE EXP_XEU 2022 PN_VN CONIF THS_M3 0.512
DE EXP_XEU 2022 PN_VN NCONIF THS_M3 13.868
DE EXP_XEU 2022 PN_VN NC_TRO THS_M3 1.036
DE EXP_XEU 2022 PN TOTAL THS_M3 1430.417
DE EXP_XEU 2022 PN_PY TOTAL THS_M3 103.197
DE EXP_XEU 2022 PN_PY CONIF THS_M3 76.968
DE EXP_XEU 2022 PN_PY NCONIF THS_M3 26.229
DE EXP_XEU 2022 PN_PY NC_TRO THS_M3 5.125
DE EXP_XEU 2022 PN_PY_LVL TOTAL THS_M3 24.182
DE EXP_XEU 2022 PN_PY_LVL CONIF THS_M3 21.443
DE EXP_XEU 2022 PN_PY_LVL NCONIF THS_M3 2.739
DE EXP_XEU 2022 PN_PY_LVL NC_TRO THS_M3 0.09
DE EXP_XEU 2022 PN_PB TOTAL THS_M3 483.826
DE EXP_XEU 2022 PN_PB_OSB TOTAL THS_M3 204.61
DE EXP_XEU 2022 PN_FB TOTAL THS_M3 625.215420717
DE EXP_XEU 2022 PN_FB_HB TOTAL THS_M3 10.4538508334
DE EXP_XEU 2022 PN_FB_MDF TOTAL THS_M3 387.4375698835
DE EXP_XEU 2022 PN_FB_O TOTAL THS_M3 227.324
DE EXP_XEU 2022 PL TOTAL THS_T 255.3102679737
DE EXP_XEU 2022 PL_MC_SCH TOTAL THS_T 24.1351011409
DE EXP_XEU 2022 PL_CH TOTAL THS_T 226.6332801052
DE EXP_XEU 2022 PL_CH_SA TOTAL THS_T 196.9138152429
DE EXP_XEU 2022 PL_CH_SAB TOTAL THS_T 194.3275033985
DE EXP_XEU 2022 PL_CH_SI TOTAL THS_T 29.7194648623
DE EXP_XEU 2022 PL_DS TOTAL THS_T 4.5418867276
DE EXP_XEU 2022 PLO TOTAL THS_T 33.4864306259
DE EXP_XEU 2022 PLO_NW TOTAL THS_T 1.5053440646
DE EXP_XEU 2022 PLO_RC TOTAL THS_T 31.9810865613
DE EXP_XEU 2022 RCP TOTAL THS_T 186.0225861189
DE EXP_XEU 2022 PP TOTAL THS_T 3591.856
DE EXP_XEU 2022 PP_GR TOTAL THS_T 1230.6852269016
DE EXP_XEU 2022 PP_GR_NP TOTAL THS_T 137.9815770861
DE EXP_XEU 2022 PP_GR_MC TOTAL THS_T 200.3148022331
DE EXP_XEU 2022 PP_GR_NW TOTAL THS_T 222.3274825558
DE EXP_XEU 2022 PP_GR_CO TOTAL THS_T 670.0613650265
DE EXP_XEU 2022 PP_HS TOTAL THS_T 28.9976429356
DE EXP_XEU 2022 PP_PK TOTAL THS_T 2308.2244193262
DE EXP_XEU 2022 PP_PK_CS TOTAL THS_T 1398.9408623416
DE EXP_XEU 2022 PP_PK_CB TOTAL THS_T 538.0476321036
DE EXP_XEU 2022 PP_PK_WR TOTAL THS_T 304.2002997035
DE EXP_XEU 2022 PP_PK_O TOTAL THS_T 67.0356251775
DE EXP_XEU 2022 PP_O TOTAL THS_T 23.9487108366
DE EXP_XEU 2022 GLT_CLT TOTAL THS_M3 210.203
DE EXP_XEU 2022 GLT TOTAL THS_M3 204.465
DE EXP_XEU 2022 CLT TOTAL THS_M3 5.738
DE EXP_XEU 2022 I_BEAMS TOTAL THS_T 0.009
DE EXP_XEU 2022 RW TOTAL THS_NAC 509854
DE EXP_XEU 2022 RW_FW TOTAL THS_NAC 2094
DE EXP_XEU 2022 RW_FW CONIF THS_NAC 1029
DE EXP_XEU 2022 RW_FW NCONIF THS_NAC 1065
DE EXP_XEU 2022 RW_IN TOTAL THS_NAC 507760
DE EXP_XEU 2022 RW_IN CONIF THS_NAC 420997
DE EXP_XEU 2022 RW_IN NCONIF THS_NAC 86763
DE EXP_XEU 2022 RW_IN NC_TRO THS_NAC 543
DE EXP_XEU 2022 CHA TOTAL THS_NAC 4843
DE EXP_XEU 2022 CHP_RES TOTAL THS_NAC 40449
DE EXP_XEU 2022 CHP TOTAL THS_NAC 18123
DE EXP_XEU 2022 RES TOTAL THS_NAC 18293.3333333333
DE EXP_XEU 2022 RES_SWD TOTAL THS_NAC 16277
DE EXP_XEU 2022 RCW TOTAL THS_NAC 4032.6666666667
DE EXP_XEU 2022 PEL_AGG TOTAL THS_NAC 25935
DE EXP_XEU 2022 PEL TOTAL THS_NAC 15872
DE EXP_XEU 2022 AGG TOTAL THS_NAC 10063
DE EXP_XEU 2022 SN TOTAL THS_NAC 2120945
DE EXP_XEU 2022 SN CONIF THS_NAC 1878863
DE EXP_XEU 2022 SN NCONIF THS_NAC 242082
DE EXP_XEU 2022 SN NC_TRO THS_NAC 11510
DE EXP_XEU 2022 PN_VN TOTAL THS_NAC 62872
DE EXP_XEU 2022 PN_VN CONIF THS_NAC 1550
DE EXP_XEU 2022 PN_VN NCONIF THS_NAC 61322
DE EXP_XEU 2022 PN_VN NC_TRO THS_NAC 3456
DE EXP_XEU 2022 PN TOTAL THS_NAC 860763
DE EXP_XEU 2022 PN_PY TOTAL THS_NAC 111368
DE EXP_XEU 2022 PN_PY CONIF THS_NAC 75438
DE EXP_XEU 2022 PN_PY NCONIF THS_NAC 35930
DE EXP_XEU 2022 PN_PY NC_TRO THS_NAC 6365
DE EXP_XEU 2022 PN_PY_LVL TOTAL THS_NAC 29192
DE EXP_XEU 2022 PN_PY_LVL CONIF THS_NAC 25634
DE EXP_XEU 2022 PN_PY_LVL NCONIF THS_NAC 3558
DE EXP_XEU 2022 PN_PY_LVL NC_TRO THS_NAC 151
DE EXP_XEU 2022 PN_PB TOTAL THS_NAC 180724
DE EXP_XEU 2022 PN_PB_OSB TOTAL THS_NAC 86135
DE EXP_XEU 2022 PN_FB TOTAL THS_NAC 389225.367963447
DE EXP_XEU 2022 PN_FB_HB TOTAL THS_NAC 9513.505982411
DE EXP_XEU 2022 PN_FB_MDF TOTAL THS_NAC 349783.861981036
DE EXP_XEU 2022 PN_FB_O TOTAL THS_NAC 29928
DE EXP_XEU 2022 PL TOTAL THS_NAC 222874.514708239
DE EXP_XEU 2022 PL_MC_SCH TOTAL THS_NAC 15521.8613934525
DE EXP_XEU 2022 PL_CH TOTAL THS_NAC 203158.016436752
DE EXP_XEU 2022 PL_CH_SA TOTAL THS_NAC 148563.134882814
DE EXP_XEU 2022 PL_CH_SAB TOTAL THS_NAC 146533.019852942
DE EXP_XEU 2022 PL_CH_SI TOTAL THS_NAC 54594.8815539376
DE EXP_XEU 2022 PL_DS TOTAL THS_NAC 4194.6368780345
DE EXP_XEU 2022 PLO TOTAL THS_NAC 23486.2794376042
DE EXP_XEU 2022 PLO_NW TOTAL THS_NAC 2820.7058222821
DE EXP_XEU 2022 PLO_RC TOTAL THS_NAC 20665.573615322
DE EXP_XEU 2022 RCP TOTAL THS_NAC 37625.9060125966
DE EXP_XEU 2022 PP TOTAL THS_NAC 3987610.82300993
DE EXP_XEU 2022 PP_GR TOTAL THS_NAC 1480536.03965429
DE EXP_XEU 2022 PP_GR_NP TOTAL THS_NAC 117817.998670969
DE EXP_XEU 2022 PP_GR_MC TOTAL THS_NAC 178345.420427473
DE EXP_XEU 2022 PP_GR_NW TOTAL THS_NAC 353822.743485296
DE EXP_XEU 2022 PP_GR_CO TOTAL THS_NAC 830549.877070548
DE EXP_XEU 2022 PP_HS TOTAL THS_NAC 72078.3740874347
DE EXP_XEU 2022 PP_PK TOTAL THS_NAC 2334478.00600675
DE EXP_XEU 2022 PP_PK_CS TOTAL THS_NAC 1000534.99283892
DE EXP_XEU 2022 PP_PK_CB TOTAL THS_NAC 823777.98050332
DE EXP_XEU 2022 PP_PK_WR TOTAL THS_NAC 447198.842928568
DE EXP_XEU 2022 PP_PK_O TOTAL THS_NAC 62966.1897359439
DE EXP_XEU 2022 PP_O TOTAL THS_NAC 100518.403261461
DE EXP_XEU 2022 GLT_CLT TOTAL THS_NAC 143752
DE EXP_XEU 2022 GLT TOTAL THS_NAC 137870
DE EXP_XEU 2022 CLT TOTAL THS_NAC 5882
DE EXP_XEU 2022 I_BEAMS TOTAL THS_NAC 5
DE IMP 2021 SW TOTAL THS_NAC 10753037
DE IMP 2021 SW_SN TOTAL THS_NAC 387107
DE IMP 2021 SW_SN CONIF THS_NAC 259680
DE IMP 2021 SW_SN NCONIF THS_NAC 127427
DE IMP 2021 SW_SN NC_TRO THS_NAC 62911
DE IMP 2021 SW_WR TOTAL THS_NAC 843657
DE IMP 2021 SW_DM TOTAL THS_NAC 363938
DE IMP 2021 SW_JN TOTAL THS_NAC 1381341
DE IMP 2021 SW_FU TOTAL THS_NAC 6436567
DE IMP 2021 SW_BL_W TOTAL THS_NAC 311088
DE IMP 2021 SW_O TOTAL THS_NAC 1029339
DE IMP 2021 SP TOTAL THS_NAC 4198897
DE IMP 2021 SP_CM TOTAL THS_NAC 49169
DE IMP 2021 SP_SCO TOTAL THS_NAC 619904
DE IMP 2021 SP_HS TOTAL THS_NAC 730604
DE IMP 2021 SP_PK TOTAL THS_NAC 1566725
DE IMP 2021 SP_O TOTAL THS_NAC 1232495
DE IMP 2021 SP_O_PR TOTAL THS_NAC 19830
DE IMP 2021 SP_O_AR TOTAL THS_NAC 129048
DE IMP 2021 SP_O_FL TOTAL THS_NAC 48913
DE IMP 2022 SW TOTAL THS_NAC 11295654
DE IMP 2022 SW_SN TOTAL THS_NAC 356791
DE IMP 2022 SW_SN CONIF THS_NAC 233788
DE IMP 2022 SW_SN NCONIF THS_NAC 123003
DE IMP 2022 SW_SN NC_TRO THS_NAC 57216
DE IMP 2022 SW_WR TOTAL THS_NAC 1067780
DE IMP 2022 SW_DM TOTAL THS_NAC 413181
DE IMP 2022 SW_JN TOTAL THS_NAC 1260753
DE IMP 2022 SW_FU TOTAL THS_NAC 6748736
DE IMP 2022 SW_BL_W TOTAL THS_NAC 310401
DE IMP 2022 SW_O TOTAL THS_NAC 1138012
DE IMP 2022 SP TOTAL THS_NAC 5211668
DE IMP 2022 SP_CM TOTAL THS_NAC 59557
DE IMP 2022 SP_SCO TOTAL THS_NAC 710133
DE IMP 2022 SP_HS TOTAL THS_NAC 1057745
DE IMP 2022 SP_PK TOTAL THS_NAC 1894075
DE IMP 2022 SP_O TOTAL THS_NAC 1490158
DE IMP 2022 SP_O_PR TOTAL THS_NAC 28120
DE IMP 2022 SP_O_AR TOTAL THS_NAC 140460
DE IMP 2022 SP_O_FL TOTAL THS_NAC 63918
DE EXP 2021 SW TOTAL THS_NAC 8630216
DE EXP 2021 SW_SN TOTAL THS_NAC 292299
DE EXP 2021 SW_SN CONIF THS_NAC 238954
DE EXP 2021 SW_SN NCONIF THS_NAC 53345
DE EXP 2021 SW_SN NC_TRO THS_NAC 7426
DE EXP 2021 SW_WR TOTAL THS_NAC 442323
DE EXP 2021 SW_DM TOTAL THS_NAC 166870
DE EXP 2021 SW_JN TOTAL THS_NAC 1449530
DE EXP 2021 SW_FU TOTAL THS_NAC 5591032
DE EXP 2021 SW_BL_W TOTAL THS_NAC 95051
DE EXP 2021 SW_O TOTAL THS_NAC 593111
DE EXP 2021 SP TOTAL THS_NAC 7971213
DE EXP 2021 SP_CM TOTAL THS_NAC 95507
DE EXP 2021 SP_SCO TOTAL THS_NAC 1692316
DE EXP 2021 SP_HS TOTAL THS_NAC 1112912
DE EXP 2021 SP_PK TOTAL THS_NAC 3223608
DE EXP 2021 SP_O TOTAL THS_NAC 1846870
DE EXP 2021 SP_O_PR TOTAL THS_NAC 66687
DE EXP 2021 SP_O_AR TOTAL THS_NAC 87833
DE EXP 2021 SP_O_FL TOTAL THS_NAC 199012
DE EXP 2022 SW TOTAL THS_NAC 9079231
DE EXP 2022 SW_SN TOTAL THS_NAC 277284
DE EXP 2022 SW_SN CONIF THS_NAC 225743
DE EXP 2022 SW_SN NCONIF THS_NAC 51541
DE EXP 2022 SW_SN NC_TRO THS_NAC 9378
DE EXP 2022 SW_WR TOTAL THS_NAC 588306
DE EXP 2022 SW_DM TOTAL THS_NAC 176570
DE EXP 2022 SW_JN TOTAL THS_NAC 1220187
DE EXP 2022 SW_FU TOTAL THS_NAC 6089953
DE EXP 2022 SW_BL_W TOTAL THS_NAC 96214
DE EXP 2022 SW_O TOTAL THS_NAC 630717
DE EXP 2022 SP TOTAL THS_NAC 9428423
DE EXP 2022 SP_CM TOTAL THS_NAC 137521
DE EXP 2022 SP_SCO TOTAL THS_NAC 1991107
DE EXP 2022 SP_HS TOTAL THS_NAC 1532677
DE EXP 2022 SP_PK TOTAL THS_NAC 3698286
DE EXP 2022 SP_O TOTAL THS_NAC 2068832
DE EXP 2022 SP_O_PR TOTAL THS_NAC 92715
DE EXP 2022 SP_O_AR TOTAL THS_NAC 98731
DE EXP 2022 SP_O_FL TOTAL THS_NAC 217039
DE IMP 2021 ST_1_2 CONIF THS_M3 5875.775
DE IMP 2021 ST_1_2 C_PIN THS_M3 1460.809
DE IMP 2021 ST_1_2_1 C_PIN THS_M3 341.944
DE IMP 2021 ST_1_2_2 C_PIN THS_M3 1118.865
DE IMP 2021 ST_1_2 C_FIR THS_M3 3881.691
DE IMP 2021 ST_1_2_1 C_FIR THS_M3 2708.234
DE IMP 2021 ST_1_2_2 C_FIR THS_M3 1173.457
DE IMP 2021 ST_1_2 NCONIF THS_M3 389.394
DE IMP 2021 ST_1_2 NC_OAK THS_M3 23.817
DE IMP 2021 ST_1_2 NC_BEE THS_M3 85.513
DE IMP 2021 ST_1_2 NC_BIR THS_M3 27.565
DE IMP 2021 ST_1_2_1 NC_BIR THS_M3 0.539
DE IMP 2021 ST_1_2_2 NC_BIR THS_M3 27.026
DE IMP 2021 ST_1_2 NC_POP THS_M3 14.768
DE IMP 2021 ST_1_2 NC_EUC THS_M3 0.148
DE IMP 2021 ST_6 CONIF THS_M3 5317.309
DE IMP 2021 ST_6 C_PIN THS_M3 786.023
DE IMP 2021 ST_6 C_FIR THS_M3 3822.767
DE IMP 2021 ST_6 NCONIF THS_M3 502.01
DE IMP 2021 ST_6 NC_OAK THS_M3 124.736
DE IMP 2021 ST_6 NC_BEE THS_M3 20.863
DE IMP 2021 ST_6 NC_MAP THS_M3 3.774
DE IMP 2021 ST_6 NC_CHE THS_M3 2.057
DE IMP 2021 ST_6 NC_ASH THS_M3 13.417
DE IMP 2021 ST_6 NC_BIR THS_M3 32.767
DE IMP 2021 ST_6 NC_POP THS_M3 39.386
DE IMP 2021 ST_1_2 CONIF THS_NAC 387080
DE IMP 2021 ST_1_2 C_PIN THS_NAC 59448
DE IMP 2021 ST_1_2_1 C_PIN THS_NAC 26592
DE IMP 2021 ST_1_2_2 C_PIN THS_NAC 32856
DE IMP 2021 ST_1_2 C_FIR THS_NAC 290097
DE IMP 2021 ST_1_2_1 C_FIR THS_NAC 229991
DE IMP 2021 ST_1_2_2 C_FIR THS_NAC 60106
DE IMP 2021 ST_1_2 NCONIF THS_NAC 51002
DE IMP 2021 ST_1_2 NC_OAK THS_NAC 8476
DE IMP 2021 ST_1_2 NC_BEE THS_NAC 5340
DE IMP 2021 ST_1_2 NC_BIR THS_NAC 2702
DE IMP 2021 ST_1_2_1 NC_BIR THS_NAC 460
DE IMP 2021 ST_1_2_2 NC_BIR THS_NAC 2242
DE IMP 2021 ST_1_2 NC_POP THS_NAC 557
DE IMP 2021 ST_1_2 NC_EUC THS_NAC 139
DE IMP 2021 ST_6 CONIF THS_NAC 1646970
DE IMP 2021 ST_6 C_PIN THS_NAC 224985
DE IMP 2021 ST_6 C_FIR THS_NAC 1153620
DE IMP 2021 ST_6 NCONIF THS_NAC 292786
DE IMP 2021 ST_6 NC_OAK THS_NAC 108638
DE IMP 2021 ST_6 NC_BEE THS_NAC 10449
DE IMP 2021 ST_6 NC_MAP THS_NAC 3614
DE IMP 2021 ST_6 NC_CHE THS_NAC 1744
DE IMP 2021 ST_6 NC_ASH THS_NAC 7478
DE IMP 2021 ST_6 NC_BIR THS_NAC 7884
DE IMP 2021 ST_6 NC_POP THS_NAC 9117
DE IMP 2022 ST_1_2 CONIF THS_M3 5188.185
DE IMP 2022 ST_1_2 C_PIN THS_M3 1338.914
DE IMP 2022 ST_1_2_1 C_PIN THS_M3 373.154
DE IMP 2022 ST_1_2_2 C_PIN THS_M3 965.76
DE IMP 2022 ST_1_2 C_FIR THS_M3 3469.395
DE IMP 2022 ST_1_2_1 C_FIR THS_M3 2278.193
DE IMP 2022 ST_1_2_2 C_FIR THS_M3 1191.202
DE IMP 2022 ST_1_2 NCONIF THS_M3 388.111
DE IMP 2022 ST_1_2 NC_OAK THS_M3 25.102
DE IMP 2022 ST_1_2 NC_BEE THS_M3 104.563
DE IMP 2022 ST_1_2 NC_BIR THS_M3 54.015
DE IMP 2022 ST_1_2_1 NC_BIR THS_M3 2.345
DE IMP 2022 ST_1_2_2 NC_BIR THS_M3 51.67
DE IMP 2022 ST_1_2 NC_POP THS_M3 4.981
DE IMP 2022 ST_1_2 NC_EUC THS_M3 11.492
DE IMP 2022 ST_6 CONIF THS_M3 3762.574
DE IMP 2022 ST_6 C_PIN THS_M3 502.463
DE IMP 2022 ST_6 C_FIR THS_M3 2688.827
DE IMP 2022 ST_6 NCONIF THS_M3 420.119
DE IMP 2022 ST_6 NC_OAK THS_M3 114.339
DE IMP 2022 ST_6 NC_BEE THS_M3 16.825
DE IMP 2022 ST_6 NC_MAP THS_M3 3.274
DE IMP 2022 ST_6 NC_CHE THS_M3 1.235
DE IMP 2022 ST_6 NC_ASH THS_M3 13.143
DE IMP 2022 ST_6 NC_BIR THS_M3 12.046
DE IMP 2022 ST_6 NC_POP THS_M3 15.217
DE IMP 2022 ST_1_2 CONIF THS_NAC 470624
DE IMP 2022 ST_1_2 C_PIN THS_NAC 90098
DE IMP 2022 ST_1_2_1 C_PIN THS_NAC 33528
DE IMP 2022 ST_1_2_2 C_PIN THS_NAC 56570
DE IMP 2022 ST_1_2 C_FIR THS_NAC 348772
DE IMP 2022 ST_1_2_1 C_FIR THS_NAC 255258
DE IMP 2022 ST_1_2_2 C_FIR THS_NAC 93514
DE IMP 2022 ST_1_2 NCONIF THS_NAC 72234
DE IMP 2022 ST_1_2 NC_OAK THS_NAC 13631
DE IMP 2022 ST_1_2 NC_BEE THS_NAC 7977
DE IMP 2022 ST_1_2 NC_BIR THS_NAC 4884
DE IMP 2022 ST_1_2_1 NC_BIR THS_NAC 450
DE IMP 2022 ST_1_2_2 NC_BIR THS_NAC 4434
DE IMP 2022 ST_1_2 NC_POP THS_NAC 281
DE IMP 2022 ST_1_2 NC_EUC THS_NAC 551
DE IMP 2022 ST_6 CONIF THS_NAC 1277924
DE IMP 2022 ST_6 C_PIN THS_NAC 172856
DE IMP 2022 ST_6 C_FIR THS_NAC 838287
DE IMP 2022 ST_6 NCONIF THS_NAC 320187
DE IMP 2022 ST_6 NC_OAK THS_NAC 130193
DE IMP 2022 ST_6 NC_BEE THS_NAC 9630
DE IMP 2022 ST_6 NC_MAP THS_NAC 4724
DE IMP 2022 ST_6 NC_CHE THS_NAC 1284
DE IMP 2022 ST_6 NC_ASH THS_NAC 7904
DE IMP 2022 ST_6 NC_BIR THS_NAC 3520
DE IMP 2022 ST_6 NC_POP THS_NAC 4510
DE EXP 2021 ST_1_2 CONIF THS_M3 10927.383
DE EXP 2021 ST_1_2 C_PIN THS_M3 559.472
DE EXP 2021 ST_1_2_1 C_PIN THS_M3 245.941
DE EXP 2021 ST_1_2_2 C_PIN THS_M3 313.531
DE EXP 2021 ST_1_2 C_FIR THS_M3 9387.732
DE EXP 2021 ST_1_2_1 C_FIR THS_M3 7807.436
DE EXP 2021 ST_1_2_2 C_FIR THS_M3 1580.296
DE EXP 2021 ST_1_2 NCONIF THS_M3 1025.815
DE EXP 2021 ST_1_2 NC_OAK THS_M3 157.998
DE EXP 2021 ST_1_2 NC_BEE THS_M3 604.25
DE EXP 2021 ST_1_2 NC_BIR THS_M3 9.7
DE EXP 2021 ST_1_2_1 NC_BIR THS_M3 1.795
DE EXP 2021 ST_1_2_2 NC_BIR THS_M3 7.905
DE EXP 2021 ST_1_2 NC_POP THS_M3 9.911
DE EXP 2021 ST_1_2 NC_EUC THS_M3 0.001
DE EXP 2021 ST_6 CONIF THS_M3 10552.063
DE EXP 2021 ST_6 C_PIN THS_M3 1392.48
DE EXP 2021 ST_6 C_FIR THS_M3 8108.447
DE EXP 2021 ST_6 NCONIF THS_M3 781.746
DE EXP 2021 ST_6 NC_OAK THS_M3 143.636
DE EXP 2021 ST_6 NC_BEE THS_M3 527.37
DE EXP 2021 ST_6 NC_MAP THS_M3 3.464
DE EXP 2021 ST_6 NC_CHE THS_M3 0.737
DE EXP 2021 ST_6 NC_ASH THS_M3 20.638
DE EXP 2021 ST_6 NC_BIR THS_M3 5.358
DE EXP 2021 ST_6 NC_POP THS_M3 3.686
DE EXP 2021 ST_1_2 CONIF THS_NAC 873711
DE EXP 2021 ST_1_2 C_PIN THS_NAC 33345
DE EXP 2021 ST_1_2_1 C_PIN THS_NAC 18336
DE EXP 2021 ST_1_2_2 C_PIN THS_NAC 15009
DE EXP 2021 ST_1_2 C_FIR THS_NAC 776111
DE EXP 2021 ST_1_2_1 C_FIR THS_NAC 692724
DE EXP 2021 ST_1_2_2 C_FIR THS_NAC 83387
DE EXP 2021 ST_1_2 NCONIF THS_NAC 128076
DE EXP 2021 ST_1_2 NC_OAK THS_NAC 32576
DE EXP 2021 ST_1_2 NC_BEE THS_NAC 62141
DE EXP 2021 ST_1_2 NC_BIR THS_NAC 649
DE EXP 2021 ST_1_2_1 NC_BIR THS_NAC 131
DE EXP 2021 ST_1_2_2 NC_BIR THS_NAC 518
DE EXP 2021 ST_1_2 NC_POP THS_NAC 601
DE EXP 2021 ST_1_2 NC_EUC THS_NAC 1
DE EXP 2021 ST_6 CONIF THS_NAC 3277684
DE EXP 2021 ST_6 C_PIN THS_NAC 448426
DE EXP 2021 ST_6 C_FIR THS_NAC 2597398
DE EXP 2021 ST_6 NCONIF THS_NAC 435075
DE EXP 2021 ST_6 NC_OAK THS_NAC 109803
DE EXP 2021 ST_6 NC_BEE THS_NAC 223879
DE EXP 2021 ST_6 NC_MAP THS_NAC 3222
DE EXP 2021 ST_6 NC_CHE THS_NAC 741
DE EXP 2021 ST_6 NC_ASH THS_NAC 8446
DE EXP 2021 ST_6 NC_BIR THS_NAC 1487
DE EXP 2021 ST_6 NC_POP THS_NAC 1183
DE EXP 2022 ST_1_2 CONIF THS_M3 8978.226
DE EXP 2022 ST_1_2 C_PIN THS_M3 883.236
DE EXP 2022 ST_1_2_1 C_PIN THS_M3 612.231
DE EXP 2022 ST_1_2_2 C_PIN THS_M3 271.005
DE EXP 2022 ST_1_2 C_FIR THS_M3 7490.847
DE EXP 2022 ST_1_2_1 C_FIR THS_M3 5561.251
DE EXP 2022 ST_1_2_2 C_FIR THS_M3 1929.596
DE EXP 2022 ST_1_2 NCONIF THS_M3 871.031
DE EXP 2022 ST_1_2 NC_OAK THS_M3 124.205
DE EXP 2022 ST_1_2 NC_BEE THS_M3 537.7
DE EXP 2022 ST_1_2 NC_BIR THS_M3 25.157
DE EXP 2022 ST_1_2_1 NC_BIR THS_M3 1.372
DE EXP 2022 ST_1_2_2 NC_BIR THS_M3 23.785
DE EXP 2022 ST_1_2 NC_POP THS_M3 16.992
DE EXP 2022 ST_1_2 NC_EUC THS_M3 0.111
DE EXP 2022 ST_6 CONIF THS_M3 10781.401
DE EXP 2022 ST_6 C_PIN THS_M3 1568.324
DE EXP 2022 ST_6 C_FIR THS_M3 8387.165
DE EXP 2022 ST_6 NCONIF THS_M3 721.065
DE EXP 2022 ST_6 NC_OAK THS_M3 137.128
DE EXP 2022 ST_6 NC_BEE THS_M3 458.579
DE EXP 2022 ST_6 NC_MAP THS_M3 3.48
DE EXP 2022 ST_6 NC_CHE THS_M3 0.564
DE EXP 2022 ST_6 NC_ASH THS_M3 26.661
DE EXP 2022 ST_6 NC_BIR THS_M3 3.351
DE EXP 2022 ST_6 NC_POP THS_M3 3.119
DE EXP 2022 ST_1_2 CONIF THS_NAC 911744
DE EXP 2022 ST_1_2 C_PIN THS_NAC 82901
DE EXP 2022 ST_1_2_1 C_PIN THS_NAC 61225
DE EXP 2022 ST_1_2_2 C_PIN THS_NAC 21676
DE EXP 2022 ST_1_2 C_FIR THS_NAC 778798
DE EXP 2022 ST_1_2_1 C_FIR THS_NAC 627640
DE EXP 2022 ST_1_2_2 C_FIR THS_NAC 151158
DE EXP 2022 ST_1_2 NCONIF THS_NAC 130898
DE EXP 2022 ST_1_2 NC_OAK THS_NAC 32801
DE EXP 2022 ST_1_2 NC_BEE THS_NAC 63932
DE EXP 2022 ST_1_2 NC_BIR THS_NAC 3477
DE EXP 2022 ST_1_2_1 NC_BIR THS_NAC 116
DE EXP 2022 ST_1_2_2 NC_BIR THS_NAC 3361
DE EXP 2022 ST_1_2 NC_POP THS_NAC 1373
DE EXP 2022 ST_1_2 NC_EUC THS_NAC 13
DE EXP 2022 ST_6 CONIF THS_NAC 3526187
DE EXP 2022 ST_6 C_PIN THS_NAC 537740
DE EXP 2022 ST_6 C_FIR THS_NAC 2747987
DE EXP 2022 ST_6 NCONIF THS_NAC 458694
DE EXP 2022 ST_6 NC_OAK THS_NAC 113960
DE EXP 2022 ST_6 NC_BEE THS_NAC 246980
DE EXP 2022 ST_6 NC_MAP THS_NAC 3937
DE EXP 2022 ST_6 NC_CHE THS_NAC 689
DE EXP 2022 ST_6 NC_ASH THS_NAC 12339
DE EXP 2022 ST_6 NC_BIR THS_NAC 1131
DE EXP 2022 ST_6 NC_POP THS_NAC 1536
DE PRD 2021 EU2_1 TOTAL THS_M3
DE PRD 2021 EU2_1 CONIF THS_M3
DE PRD 2021 EU2_1 NCONIF THS_M3
DE PRD 2021 EU2_1_1 TOTAL THS_M3
DE PRD 2021 EU2_1_1 CONIF THS_M3
DE PRD 2021 EU2_1_1 NCONIF THS_M3
DE PRD 2021 EU2_1_2 TOTAL THS_M3
DE PRD 2021 EU2_1_2 CONIF THS_M3
DE PRD 2021 EU2_1_2 NCONIF THS_M3
DE PRD 2021 EU2_1_3 TOTAL THS_M3
DE PRD 2021 EU2_1_3 CONIF THS_M3
DE PRD 2021 EU2_1_3 NCONIF THS_M3
DE PRD 2022 EU2_1 TOTAL THS_M3
DE PRD 2022 EU2_1 CONIF THS_M3
DE PRD 2022 EU2_1 NCONIF THS_M3
DE PRD 2022 EU2_1_1 TOTAL THS_M3
DE PRD 2022 EU2_1_1 CONIF THS_M3
DE PRD 2022 EU2_1_1 NCONIF THS_M3
DE PRD 2022 EU2_1_2 TOTAL THS_M3
DE PRD 2022 EU2_1_2 CONIF THS_M3
DE PRD 2022 EU2_1_2 NCONIF THS_M3
DE PRD 2022 EU2_1_3 TOTAL THS_M3
DE PRD 2022 EU2_1_3 CONIF THS_M3
DE PRD 2022 EU2_1_3 NCONIF THS_M3
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