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Driving forces of informal employment: An empirical study based on Polish enterprise data, Gdansk University of Technology

Languages and translations
English

Motivation and background Aim of this study Data Results Conclusions

Driving forces of informal employment: An empirical study based on Polish enterprise data

Dagmara Nikulin

Gdansk University of Technology Faculty of Management and Economics

Meeting of the Group of Experts on Quality of Employment Geneva, 14-16 May, 2024

The research has been conducted within the project financed by the National Science Centre, Poland (Narodowe Centrum Nauki – NCN) – decision number 2018/02/x/hs4/00441.

Motivation and background Aim of this study Data Results Conclusions

Motivation

the informal sector together with the broadly understood shadow economy is of interest to both the scientific community and government institutions

research areas related to the shadow economy are considered extremely important and require further exploration

a dichotomy between the formal and informal sectors, which contributes to the marginalization of hybrid phenomena occurring on the borderline of the informal zone

informal employment existing in registered enterprises

Motivation and background Aim of this study Data Results Conclusions

Driving forces of informal employment: literature review

severity of taxes: in countries with higher level of taxes the prevalence of shadow economy and informal employment should be larger. Empirical evidence inconclusive in this matter (Nur-Tegin, 2008; Joulfaian, 2009; Bernasconi, Corazzini and Seri, 2014)

social and moral determinants; non-economic social factors are becoming more and more relevant in explaining the inclination to be engaged in shadow economy (Pickhardt and Prinz, 2014); plenty of research investigates the relationship between tax morale and tendency to evade taxes (Alm, Martinez-Vazque & Torgler, 2006; Alm & Torgler, 2006; Torgler, 2005; Torgler Schneider, 2009)

institutional factors like the quality of institutions (Torgler & Schneider, 2007; Hanousek & Palda 2004, Barone & Mocetti, 2011)

Motivation and background Aim of this study Data Results Conclusions

Aim of this study

Our aim is to investigate the main drivers of informal employment in Poland.

Motivation and background Aim of this study Data Results Conclusions

Survey design

survey conducted among polish small and medium (SMEs) enterprises

representative sample of 952 Polish entrepreneurs

survey carried out between November and December 2018

CATI method (computer-assisted telephone interview)

respondents: owners or highest level managers of Polish private enterprises

quota sampling regarding the specific number of companies according to the size (less than 9 employees, 10-49, and 49-250 employees)

within each group stratified random sampling scheme with two stratas: NUTS 2 units and four main sectors (manufacturing, construction, retail and services)

tools for surveys on sensitive topics applied

Motivation and background Aim of this study Data Results Conclusions

Outcome variable

In particular, the question on the informal employment activities has been formulated as follows: “Due to high non-wage labour costs, some entrepreneurs use various mechanisms to minimize these burdens. Bearing in mind the companies operating in your industry, please asses what proportion of employees are employed informally?”

Our dependent variable is recoded into binary one, where 0 means that respondent indicates no extent of informal employees in firms in their industry and 1 if there is any extent of informal employees

Motivation and background Aim of this study Data Results Conclusions

Descriptive statistics (1)

Motivation and background Aim of this study Data Results Conclusions

Descriptive statistics (2)

Motivation and background Aim of this study Data Results Conclusions

Model

Motivation and background Aim of this study Data Results Conclusions

Results

Motivation and background Aim of this study Data Results Conclusions

Robustness check

Motivation and background Aim of this study Data Results Conclusions

Conclusions

the main aim of this paper is to find possible determinants of using informal workers

tax morality and obstacles related to setting up a business as significant factors influencing the probability of using informal workers

we do not find any clear relationship between the tax severity and the inclination to using informal workers among polish enterprises

Motivation and background Aim of this study Data Results Conclusions

Thank you for your attention.

Contact: [email protected]

  • Motivation and background
  • Aim of this study
  • Data
  • Results
  • Conclusions

ICE-CMM Poland - Report, by Mr. Piotr Kasza, ICE-CMM Poland

Languages and translations
English

Annual Activity Report

19th Session of the Group of Experts on Coal Mine Methane and Just Transition

Geneva, March 18-19, 2024

Piotr Kasza on behalf of ICE-CMM Poland

Agenda

✓ Activities and achievements of ICE CMM Poland in 2023

✓ Work plan for 2024

32nd School of Underground Mining Methane from coal mines in Poland - current state and consequences of introducing the proposed EU regulation in this regard

Krakow, Poland, April 28, 2023

• Session organized and sponsored by ICE-CMM Poland

• 16 presentations including 7 ICE-CMM members

• participation of numerous experts and representatives of NGOs

• Discussion panel on methane emissions from coal mines

The Center’s involvement in activities related to energy transformation

18th Session of the Group of Experts on CMM & JT Geneva, Switzerland, March 20-21, 2023

• Annual Activity Report on ICE-CMM Poland

• JSW and GIG’s report on the use of methane from coal mines in Poland

• Projects implemented by JSW SA in cooperation with ICE-CMM Poland members

The Center’s involvement in activities related to energy transformation

✓ World Mining Congress (WMC 2023), Brisbane, Autralia, June 26-29, 2023: presentation of the REM, MASTERMINE projects, presentation on simulation of air flow and methane emissions in goafs

✓ Krynica Forum 2023, September 13-15, 2023: debate on Polish roads towards climate neutrality

The Center’s involvement in activities related to energy transformation

✓ Distributed Energy Congress, Krakow, September 25-26, 2023: session prepared by ICE-CMM

• 6 papers presented.

The Center’s involvement in activities related to energy transformation

✓ Organization of the session as part of International Science and Technology Conference Natural Mining Hazards, Wisła, November 14-16, 2023

• Session organized and sponsored by ICE-CMM Poland

• 7 presentations and discussion

✓ Preparation and promotion of the Annual report on methane emissions and its use in the Polish hard coal mining industry for 2022 (published on the website: www.cmm-energy.eu )

✓ Meeting with members of the Hard Coal Section Agreement of Trade Unions KADRA, March 2023: presentation on methane emissions from Polish coal mines.

✓ Workshop "Mining in the 21st century and what else" in Ostrava, May 2023: paper on the EP "methane" regulation and its impact on mining in Poland.

✓ Participation of members of the ICE-CMM Presidium in meetings on the reduction of methane emissions at the European Parliament, the Ministry of State Assets, and the Chancellery of the President of the Republic of Poland

The Center’s involvement in activities related to energy transformation

✓ Translation and publication of the Polish version of the AMM best practice guidance

• report on necessary changes in the methodology for estimating methane resources in closed mines prepared by PGI-NRI

• results of this report as an appendix to the translation of the AMM Best Practice Guidance

The Center’s involvement in activities related to energy transformation - postponed task -

Work plan of ICE-CMM Poland for 2024

33rd School of Underground Mining Methane from hard coal mines in Poland - effective reduction of emissions as part of climate protection

Krakow, Poland, February26, 2024

19th Session of the Group of Experts on CMM & JT Geneva, Switzerland, March 18-19, 2024

• Annual Activity Report on ICE-CMM Poland

Organization and sponsorship of the session as part of 31st International Science and Technology Conference Natural Mining Hazards

Work plan of ICE-CMM Poland for 2024

An overview report on the evaluation of the resource potential and possibilities of extracting methane from coal beds in abandoned hard coal deposits in Poland

Participation in events promoting the reduction of methane emission

12th School of Mining Aerology Kocierz, Poland, 12-14 June, 2024

Scientific seminar in Vietnam Challenges and strategies for reducing methane emissions in coal mining. International experiences and perspectives for Vietnam

Thank you for your attention

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Building trust culture in the office – examples of ethics-driven proactive internal communication at Statistics Poland. Anna Borowska and Olga Świerkot-Strużewska (Statistics Poland)

Languages and translations
English

Building trust culture in the office – examples of ethics-driven proactive internal communication

at Statistics Poland

UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS

The Workshop on Ethics in Modern Statistical Organisations

Anna Borowska Olga Świerkot-Strużewska

26 - 28 March 2024, Geneva, Switzerland

Purpose of the presentation

• To apprehend ethics from the international angle, to embed it in the international statistical context

• To present fundamental rules and values for ethics, both in the layer of data ethics but also in the layer of culture organisation, especially in the area of internal communication

• To present examples of staff surveys in various areas, not from the point of view of their results but from the point of view their response rate, awarness and engagememt of our employees on their role in this process

Ethics. Contextualised. • Definitions

Source: Britannica

users

• Proliferating Data Ecosystems • Skyrocketing number of Actors • Insatiable demand for insight • New roles, new skills & competencies, resources

Times of redefinition – statistics in a changing environment

Growing importance of ethics in the international context

• Trust debate „Our value/worth conversation is more about 'why' do we do what we do. What does it add to our society? Whereas the trust conversation is about 'how' we do what we do” Giles Sullivan

• Value debate

• User-centric approach

Ethics – derivatives and dimensions

• „Data ethics - a key enabler of the social acceptability” • Social acceptability - a strategic communication topic • ESS Strategic Communication Expert Group

• „Social acceptability: roadmap for communicating the ethical approach taken to data collection, processing, storage, dissemination and retention”

•Why do we need to keep providing evidence of our trustworthiness?

Ethics underlying official statistics/ e.g. 1 New data sources

• FPOS and Big Data - Mapping the United Nations Fundamental Principles of Official Statistics against new and big data sources

• Europe’s Ethical Guidelines [7] related to the use of Big Data in European statistics.

• A reference point in considering the 6 challenges of an ethical use of new and big data sources

• The guidelines draw the attention of NSOs to possible issues of professional ethics that can appear with the use of big data in the production of official statistics and examine at three main stages of the statistical production process – acquisition, processing and dissemination – questions of an ethical nature concerning the cornerstone values of official statistics

"Data for statistical purposes may be drawn from all types of sources, be they statistical surveys or administrative records. Statistical agencies are to choose the source with regard to quality, timeliness, costs and the burden on respondents." • Social media data

• an area to explore for the official statistics. • In several countries research is conducted to use social media in order to measure

the level of well-being of societies • Social media are a vulnerable source of data when it comes to manipulation. While disseminating

statistics based on social media, it is important to accompany them with proper metadata and to describe them in an understandable way.

• EXAMPLE of juxtaposing official statistics to fake news • existence of fake accounts which manipulate the truth, so called “bots”. They may affect the factual

image, hindering the quality of social media data to be used for statistical purposes. • On this background, the ethical reference provided by the UNFPOS seems to be one of the most

effective remedies, as they oppose official statistics to raw social media data, thereby valuing more highly the production of reliable, comparable and high-quality data – those which meet international standards .

UN Principle 5 – through an ethical lens

Ethics underlying official statistics/ e.g. 2 Data stewardship

Data stewardship – from the UNECE TF Report „Data Stewardship and the Role of National Statistical Offices in the New Data Ecosystem” is ensuring the ethical and responsible creation, collection, management, use, and reuse of data. It is expressed through long- term, inter-generational curation of data assets so that they benefit the full community of data users and are used for public good.

• „An emerging definition of data stewardship outlines it as a collection of practices that ensure data and statistics from across national systems are accessible, useable, safe, and trusted. The priorities of a data steward are context-dependent and cannot be universally defined. However, data stewards are responsible for data across the value chain, from production, analysis, and use.

• These functions aim to: • increase collaboration and interoperability across national data systems; • promote data sharing and build trust; • build strong data management and capacity development; • safeguard data quality and inclusivity; • improve data privacy, security, and ownership”.

• Source: Fitting into the new data-driven reality: results from the global consultation on data stewardship and the role of National Statistical Offices

13.03.2024 11

Ethics underlying official statistics/ e.g. 2 Data stewardship/ global perspective

• “[…] The timelessness and relevance of the FPOS make them fit to the new data-driven reality. However, the proliferation of new data sources, new stakeholders and new concepts, such as data stewardship is a good opportunity to reinterpret the Principles, to set directions of their new possible explanations, which seem to be unavoidable in spite of their pertinence and universal character”

Back to the basics: The concept of data stewardship and its linkages with the Fundamental Principles of Official Statistics (FPOS), COL/PL

13.03.2024 12

Being internationally vocal about ethics

• Official Statistics as a cornerstone of democracy · Statistical data essential for:

· evidence-based decision-making, · political accountability

· Attributes of official statistics: · transparent, · scientifically robust and · politically independent

• UN Fundamental Principles of Official Statistics

• Robust legislation, common standards, international comparability

• Statistics  right to the truth.

Ethical

Ethics through internal lens Official statistics in numbers

5 309 employment in official

statistics as of 31.12.2023

737 employment in Statistics Poland as of

31.12.2023

4,12 % of disabled persons in Statistics Poland as

of 31.12.2023*

71 % of employed women in Statistics Poland

as of 31.12.2023

* according to the State Fund for Rehabilitation of Disabled People methodology

Our publications in 2023

291 publication titles

490 news releases

41 titles of

communications and announcements

135 357

376

831

1111 Female Male

No Yes

Higher Secondary

Gender

Membership in management staff

Education

Age Seniority

Under 26 years old

36-45 years old 26-35 years old Over 55 years old

46-55 years old Under a year

4-10 years 1-3 years Over 21 years

11-20 years

35 341

936

905

593

A survey among all Statistics Poland’s employees to determine: • organizational culture • work style of the employees • eagerness to change in behaviors • motivation • communication style. The survey collected 2 810 responses (~50% of all employees).

Staff survey conducted within Stat!Up project

Staff survey on hybrid work conducted by trade unions acting at Statistics Poland – central office

• The purpose of the survey was to check staff opinion about hybrid work

• The survey was conducted: 20th February -17th March 2023

• The survey collected 380 answers (~50% of all employees), including:

• 265 by electronic way • 115 by traditional way (paper).

• No statistical data about participants

Staff survey on social activity for the employees of Statistics Poland – central office

• The purpose of the survey was to gain staff opinions about social activities offered to them by Statistics Poland

• The survey was conducted: 19th October – 9th December 2022

• The survey collected 256 responses,

(32% of all employees), including:

- 206 responses by electronic way

- 50 responses by traditional way

4 6

2 2

22

26

6

51

33

27

10

1 2 1

5 5 6

1

31

4

8

3

0

10

20

30

40

50

60

below 25

25 – 35

35 – 50

50 – 60

below 25

25 – 35

35 – 50

50 – 60

Over 60

35 – 50

50 – 60

Over 60

below 1 year 1 – 5 5 – 15 Over 15

Female

Male

Staff survey on onboarding process at Statistics Poland – central office

The purpose of the survey was to monitor and evalute onboarding proces

The survey was sent to new employees and was conducted 3 months after their employment in our Office

The survey was sent to 50 persons and collected 25 responses (50% of all new employees)

2525

Participation in survey

answers lack of answers

14

11

Gender

femaile maile

Staff survey on exit interview at Statistics Poland – central office

• The purpose of the survey was to find out reasons of leaving our Office by employees

• The survey was focused on employees leaving us (due to different reasons)

• The survey was sent to 44 persons and collected 21 responses (48% of all new employees)

21 23

Participation in survey

answers lack of answers

13

8

Gender

femaile maile

The guidelines for compliance with the rules of the civil service and on the principles of the civil service code of ethics

Staff survey on “Diagnosis of the level of integrity culture in the civil service” as an example of fantastic failure within internal communication

• The purpose of the survey was to know the level of integrity culture in the civil service

• The survey was sent to all employees (674) and was conducted from 16th to 30th May 2023

• The survey collected only 61responses (9,6% of all employees)

44

17

Gender

femaile maile

61

613

Participation in survey

answers lack of answers

16

44

Level of position

managers employees

Staff survey on “Diagnosis of the level of integrity culture in the civil service” as an example of fantastic failure within internal communication

As a consequence of this fantastic failure, a letter was sent to managers and employees indicating that:

• only 61 persons, which means that only 9,6% of all employees from civil service corps took part in the survey;

• this result is unsatisfactory, having also in mind that the role of Statistics Poland is to conduct statistical surveys, thus our staff should be aware of the importance of response rates;

• we need deeper and deeper engagement of all staff in building our organisational culture, including also taking issues in our own hands to have influence on what is going on around us.

Summary and conclusions

• Ethics is a paramount concept, visible in many aspects of international statistical debate;

• Internally we do not have standardised policy of conducting staff surveys yet; • It is not easy to compare given examples and draw systemic conclusions but

to some extent it is possible; • It is clear that internal communication including part of getting staff opinions

is crucial and may bring benefits for all of us in:  building common trust, changing our organisational culture, knowing each other better, fitting better solutions in i.e. CSR, social activities, finding expectations of both sides: employees and employers

• Therefore: all the derivatives and examples of the practical handling of ethics are very much welcome to be adjusted/implemented at the internal level.

Thank You for listening! 

Anna Borowska Civil Service Director [email protected]

Olga Świerkot-Strużewska International Relations and Statistical Cooperation Director [email protected]

  • Building trust culture in the office – examples of ethics-driven proactive internal communication �at Statistics Poland
  • Purpose of the presentation
  • Ethics. Contextualised.
  • Is ethics a new concept of the international debate? Certainly not.
  • Times of redefinition – statistics in a changing environment
  • Growing importance of ethics in the international context
  • Ethics – derivatives and dimensions
  • Ethics underlying official statistics/ e.g. 1�New data sources
  • UN Principle 5 – through an ethical lens�
  • Ethics underlying official statistics/ e.g. 2�Data stewardship
  • Ethics underlying official statistics/ e.g. 2�Data stewardship/ global perspective
  • Slide Number 12
  • Being internationally vocal about ethics
  • Ethics through internal lens�Official statistics in numbers
  • Our publications in 2023
  • Slide Number 16
  • Staff survey on hybrid work conducted by trade unions acting at Statistics Poland – central office
  • Staff survey on social activity for the employees of Statistics Poland – central office
  • Staff survey on onboarding process �at Statistics Poland – central office
  • Staff survey on exit interview�at Statistics Poland – central office
  • The guidelines for compliance with the rules �of the civil service and on the principles �of the civil service code of ethics
  • Staff survey on “Diagnosis of the level of integrity culture in the civil service” as an example �of fantastic failure within internal communication
  • Staff survey on “Diagnosis of the level of integrity culture in the civil service” as an example of fantastic failure within internal communication
  • Summary and conclusions
  • Thank You for listening! 

Just Transition in Coal Regions of Poland, by Mr. Jan Bondaruk, Deputy Director for Environmental Engineering, Central Mining Institute in Poland - GIG

Languages and translations
English

1

JUST TRANSITION PROCESS IN POLAND – STATUS

AND FUTURE CHALLENGES

Jan Bondaruk

BASIC AREAS OF GIG ACTIVITY

OCCUPATIONAL SAFETY IN THE INDUSTRY

MATERIAL ENGINEERING

CERTIFICATION AND ATTESTATION

MINING AND GEOENGINEERING

ENVIRONMENTAL ENGINNERING

TRAINING AND EDUCATION

CLEAN COAL TECHNOLOGIES

Hard coal

Lignite

TRANSITION PATHWAYS

2000/2002

10% share of mining in GDP

2016

9,7% share of mining in GDP

2021 3,3% share of mining in GDP

2049?

Mines Restructuring Company: 8 non- perspective mines or parts of mines

2000 40 operating coal- mines in Silesia region Carbon neutral

economy in Europe in 2050

2021 20 operating coal- mines in Silesia region 2016

23 operating coal- mines in Silesia region

Transformation of the sector induced by economic factors

Transition of the economy carried out taking into account climate goals

Silesia region - heart of Polish hard coal

mine sector

~78 % of hard coal balance deposits occur in Upper Silesian Coal

Basin

NECP PL AND ENERGY POLICY OF POLAND UNTIL 2040 POLAND’S NATIONAL ENERGY AND CLIMATE PLAN FOR YEARS 2021-2030 (NECP PL) along with attachments has been developed in fulfilment of the obligation set out in Regulation (EU) 2018/1999 of the European Parliament and of the Council of 11 December 2018 on the Governance of the Energy Union and Climate Action.

Integrated approach to the implementation of the five dimensions.

The energy transition will be based on three pillars

ENERGY POLICY OF POLAND UNTIL 2040 (PEP2040) sets the framework for the energy transition in Poland. It contains strategic decision regarding the selection of technologies used to establish a low-emission energy system. PEP2040 contributes to the implementation of the Paris Agreement concluded in December 2015 at the 21st Conference of the Parties to the United Nations Framework Convention on Climate Change (COP21), taking into account the need to achieve the transition in a just and solidary manner.

TRANSITION SCHEDULE

https://energy.ec.europa.eu/topics/oil-gas-and-coal/eu-coal-regions/coal-regions- transition_en

2023 - the deepest hard coal mine operates at the level of 1290 m

1990 – 70 operating hard coal mines with the average depth = 510 m

More than 6 400 hectares of post-industrial and post-mining areas to

redevelopment in Silesia Region

€ 2.4 billion for Silesia and Western Małopolska

€ 415 million for Wielkopolska

€ 581.5 million for Lower Silesia

€ 369.5 million for Łódzkie

Territorial just transition plans (TJTPs)

JUST TRANSITION FUND IN POLAND

TERRITORIAL JUST TRANSITION PLAN OF THE SILESIAN VOIVODESHIP

Coal mining employment in 2022 in Silesia region (hard coal + cocking coal mines)

62 000 miners (76 000 in total Poland)

Reduction of employment

up to 2030 - 12 400 miners up to 2049 - 49 000 miners

Estimated decrease in the number of jobs in mining-related companies (value chain)

up to 2030 - 24 500 employees up to 2049 - 96 000 employees

The main objective of the TJTP is assumed to be: • Equitable and efficient transformation of mining

subregions towards a green, digital economy, ensuring a high quality of life for residents in a clean environment.

Operational objectives of 7 mining subregions embrace:

• Innovative and diversified economy

• Resource and energy efficient economy

• Strong entrepreneurship

• Balanced distribution of energy

• Repurpose of post-industrial areas for economic, environmental and social purposes

• Socially responsible transition management system

• Attractive and effective education

• Labour market support system and skills upgrading mechanism

• Comprehensive social support system to activate residents <25 000 hectares of post-industrial and post-

mining areas Identification of stakeholders and stronger partnerships

MINING WORKFORCES AND VALUE CHAIN

The socio-economic contribution of mining in terms of

employment can be measured on three levels:

• direct employment – the workforce employed by coal

enterprises themselves,

• indirect employment – those employed at companies

that produce goods or deliver services directly to coal

enterprises,

• induced employment – those employed to provide

goods and services to meet the consumption

demand of directly and indirectly employed workers

(Bacon and Kojima, 2011).

Employment structure in mining-dependent companies by NACE sections and dependence on coal mining contracts

Source: Mapping the indirect employment of hard coal mining: a case study of Upper Silesia, Poland, IBS Working Paper 07/2022, November 2022

SOCIAL AGREEMENT OF 28 MAY 2021=> MINE CLOSURE SCHEDULE

=> mine closure schedule

GOVERNMENT - TRADE UNIONS - MINING MUNICIPALITIES -

MINING COMPANIES

OBJECTIVES OF SOCIAL AGREEMENT

mechanism for financing coal mining companies in the transition process

indexation of salaries

rules for the construction and implementation of clean coal

installations

guarantee of employment

social protection package for employees from liquidated coal mines

• covering extraordinary costs • subsidies for capacity reduction costs

• inclusion of the salary costs of the companies' employees with the indexation mechanism of average monthly salaries from the previous year

• support for investments using available resources • industrial-scale (TRL8/9) investments:

• coal gasification plant (GCC+CCS) • production of low-carbon fuel, • hydrogen generation, • CO2 storage in the rock mass.

• employee realocation mechanism -> mainly to other mines • trainings and courses within the sector

• mining leave • severance pay

Relocations to other mines up to 2030

2 500 miners

Retirement up to 2030

1 800 miners

11

MINING WORKFORCES AND VALUE CHAIN TRANSITION

SOCIAL AGREEMENT

Mining-dependent workplaces

Mining workforces

MINING REGIONS IN TRANSITION

JTF/TJTPs

Direct Support

(miners and coal mine operators)

Indirect new workplaces

Indirect suport

Development of technology

Direct JTF mechanism

Develompent of regional economy

 Vocational education in just transition proces

 Support for starting a business: outplacement projects

 Social inclusion - strengthening the just transition process

 Supporting SMEs for transformation  Use of degraded areas to develop

the regional economy through business investment

Public intervention-> EU public support

regulations

STRATEGIC CHALLENGES

12

Reindustrialisation and revitalisation

Cooperation between the administration - industry -

science

Finance and new business models

Innovation and integration of knowledge

"Black to Green" sustainable transformation of the Silesia region

ADVANTAGES OF THE POST-MINING ASSETS

New business models and

collaboration schemes

Scenarios of the redevelopment process

NEW VALUE CHAIN & SUCCESS STORIES

Culture Zone - new image and functions

Katowice Coal Mine (1823–1999) 120 000 000 tons of coal

Katowice Coal Mine brownfield – 2001 demolition works

Szombierki Coal Mine - Bytom

The Golf Club Armada

R&D PROJECTS – STATUS AND PERSPECTIVES

REGIONAL OBSERVATORY OF THE TRANSFORMATION PROCESS

The aim of the project was to collect and disseminate knowledge:

- on the socio-economic processes taking place in the region,

- effective transformation activities and tools,

- innovative technologies supporting the process of diversification towards a

green digital economy,

- promoting framework directions for professional reorientation in the areas

of regional smart specializations by initiating cooperation of local partners

from areas undergoing socio-economic transformation and R&D with

business entities.

The aim of the project was to provide insight into perceptions of various aspects of the transformation process.

ROPT supports the implementation of the objectives of the regional transformation plan and the regional development strategy in the social and

economic dimension

LEVERAGING THE COMPETITIVE ADVANTAGES OF END-OF-LIFE UNDERGROUND COAL MINES TO MAXIMISE THE CREATION OF GREEN AND QUALITY JOBS

GreenJOBS focuses on repurposing end-of-life underground coal mines by deploying emerging renewable energy and circular economy technologies to promote sustainable local economic growth and maximise the number of

green, quality jobs. 2 business plans (Virtual Power Plant

and a Green Hydrogen Plant).

The project consortium:  UNIVERSIDAD DE OVIEDO, Spain  GLOWNY INSTYTUT GORNICTWA, Poland  FUNDACION ASTURIANA DE LA ENERGIA, Spain  DMT-GESELLSCHAFT FUR LEHRE UND BILDUNG MBH, Germany  MAGELLAN & BARENTS SL, Spain  WEGLOKOKS KRAJ SPOLKA AKCYJNA, Poland,  HULLERAS DEL NORTE SA, Spain,  PREMOGOVNIK VELENJE, Slovenia.

PILOT ACTIONS

No. Action 1 Virtual power plant

2 Green hydrogen plant

3 Eco-industrial park

4 Cultural heritage and sports/recreations

areas using green energy

5 Floating PV panels at flooded open-pit

coal mine

6 Pumped hydroelectric storage (PHS) at

former open-pit coal mines

7 Fisheries in flooded open-pit coal mines

8 Combined-cycle gas turbine (CCGT) power

plant powered by natural gas

9 Mine gas utilization for gas-powered CHP

power units

10 Small modular reactors (SMRs)

11 Biofuels combustion energy plant

12 Molten salt plant

13 Agrophotovoltaics (APV) at former open-

pit coal mine areas

No. Mikro-action

1 Ancillary services provided by batteries

2 Recovery of resources from coal mining

waste heaps

3 Usage of methane from degasification units

on closed coal mines

4 Circular mining technologies for pumped

water material recovery.

5 Forest restoration at former open-pit coal

mines

6 Large scale IT infrastructure - power plant

7 Geothermal energy

8 Gravitricity

9 Dense fluids

10 Underground hydropumping

EXTENSION OF THE POST-MINING LAND MANAGEMENT SYSTEM IN THE SILESIAN VOIVODESHIP

Supportive tool for management of transition proces.

new public e-service

database of post- mining areas

tool for the valorisation of post-

mining areas

digital repository of documents including plans, maps, photographs of post-mining areas

Make it easier for investors to get information about post-mining areas and help them assess their economic

attractiveness.

https://www.youtube.com/watch?v=0AjJbo560JE

TRANSITION PROCESS IN POLAND

 Along with the phase-out plan, the expected outcome of the transition process is to ensure the security of the national energy system combined with climate neutrality goals

 Silesia region, due to concentration of different type of challenges is percieved as the reference laboratory and source of good practices of the just transition process in Europe

 Post-mining period creates new models of collaboration between industry, researchers and administration

 Reskilling mining workforce and employees of mining-dependent enterprises (value chain) is a key challenge for the well-embedded just transition

 Just transition process is implemented through an extensive support program that includes, among others:

 Regeneration, decontamination and restoration of post-mining assets

 Raising and changing the qualifications of employees and jobseekers

 Investment in SMEs, including start-ups, leading to economic diversification and economic restructuring

 Business creation through business incubators and consulting services

 Research and innovation activities and supporting the transfer of advanced technologies

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Jan BONDARUK Deputy Director for Environmental Engineering Central Mining Institute – National Research Institute Plac Gwarków 1 40-166 Katowice Poland t: +48 32 259 24 66 f: +48 32 259 21 54 m: +48 512 293 850 [email protected] www.gig.eu

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

Presentation, Anna Szukiełojć-Bieńkuńska (Poland)

Languages and translations
English

Group of Experts on Measuring Poverty and Inequality, UNECE, Geneva, 28-29 November 2022

Anna Bieńkuńska

Tomasz Piasecki

Comparison of determinants of subjective and objective poverty in Poland based on the results of the EU-SILC

2stat.gov.pl

1. Applied poverty measures 2. Distribution of poverty by selected characteristics

of households 3. Determinants of different kinds of poverty

(model based analysis) 4. Concluding remarks

Contents:

3stat.gov.pl

• subjective economic stress indicator (ECSTRESS) - indirect (proxy) subjective poverty measure

• at-risk-of-poverty-rate (ARPR) – objective relative measure of poverty based on income poverty threshold (60% of the national median equivalised disposable income after social transfers)

• severe material and social deprivation (SMSD) - objective absolute measure of non-monetary poverty (7 of 13 deprivation)

• severe material deprivation (SMD) - objective absolute measure of non-monetary poverty (4 of 9 deprivation)

Applied poverty measures

4stat.gov.pl

EU-SILC 2019 EU-SILC 2022

Households making ends meet with great difficulty

4.5 3.7

Households making ends meet with difficulty 11.2 11.7

Households making ends meet with some difficulty

34.7 39.8

Households making ends meet fairly easily 34.4 33.1

Households making ends meet easily 11.6 9.6

Households making ends meet very easily 3.6 2.0

ECSTRESS 15.7 15.4

Subjective assessments of ability ”to make ends meet” and subjective economic stress indicator (ECSTRESS), % of people

ECSTRESS - share of people living in households making ends meet with difficulty or great difficulty

5stat.gov.pl

13.0% 13.1%

7.1%

18.8%

37.8% 39.5%

6.6%

37.7%

10.7%

23.3%

42.3%

60.3%

1.9% 0.5% 0.4%

3.8%

9.6% 12.6%

0%

10%

20%

30%

40%

50%

60%

70%

Employees Farmers Self-employed Retirees Pensioners Living on unearned sources

Subjective economic stress indicator At-risk-of-poverty rate (ARPR) Severe material and social deprivation (SMSD)

Poverty indicators by socio-economic groups of households (main source of income), EU-SILC 2022

6stat.gov.pl

Poverty indicators by household type, EU-SILC 2022

20.5% 22.4% 22.5%

29.9%

12.9%

15.9% 15.6%

34.5%

10.5% 10.3%

17.1%

14.8% 16.4%

25.4%

20.4%

23.6%

35.6%

8.9% 10.5% 10.5%

22.2%

10.2% 11.8%

20.5%

12.9%

16.7%

8.1% 6.5% 6.3% 6.0%

3.1% 3.9% 2.3%

9.3%

1.9% 1.7% 2.5% 1.4%

7.1%

0%

5%

10%

15%

20%

25%

30%

35%

40%

Single male

(age<65)

Single female

(age<65)

Single male

(age 65+)

Single female

(age 65+)

2 adults, no child (age<65)

*

2 adults, no child

(age 65+) **

At least 3 adults, no child

1 adult, at least 1 child

2 adults, 1 child

2 adults, 2 children

2 adults, at least

3 children

At least 3 adults, at least 1 child

Other

Subjective economic stress indicator At-risk-of-poverty rate (ARPR) Severe material and social deprivation (SMSD)

* both persons aged less than 65 ** at least one person aged 65+

7stat.gov.pl

Poverty indicators by the type of locality, EU-SILC 2022

11.4%

13.7%

15.4%

18.8%

16.0%

5.9%

9.1% 10.2%

13.5%

19.2%

1.8%

3.4% 2.5%

3.8% 2.7%

0%

5%

10%

15%

20%

25%

500 thous. or more 100-500 thous. 20-100 thous. up to 20 thous. Rural areas

Subjective economic stress indicator At-risk-of-poverty rate (ARPR) Severe material and social deprivation (SMSD)

Urban areas by population

8stat.gov.pl

EU-SILC 2019 EU-SILC 2022

Subjective economic stress indicator (ECSTRESS) 15.7 15.4

At-risk-of-poverty-rate (ARPR) 15.4 13.7

Severe material and social deprivation (SMSD) 3.5 2.8

Severe material deprivation (SMD) 3.6 3.0

Comparison of poverty rates between EU-SILC 2019 and 2022

9stat.gov.pl

Comparison of poverty distribution by socio-economic groups of households between EU-SILC 2019 and 2022

12.7%

13.3%

7.9%

22.6%

44.1%

45.6%

13.0%

13.1%

7.1%

18.8%

37.8%

39.5%

0% 10% 20% 30% 40% 50%

Employees

Farmers

Self-employed

Retirees

Pensioners

Living on unearned

sources

2019 2022

7.7%

34.9%

16.5%

25.0%

50.3%

57.1%

6.6%

37.7%

10.7%

23.3%

42.3%

60.3%

0% 20% 40% 60%

2019 2022

2.5%

2.2%

1.4%

4.9%

17.4%

19.7%

2.2%

2.8%

0.8%

3.9%

10.8%

10.9%

0% 5% 10% 15% 20%

2019 2022

Subjective economic stress indicator Severe material deprivationARPR

10stat.gov.pl

Comparison of poverty distribution by household type between EU-SILC 2019 and 2022

Subjective economic stress indicator Severe material deprivationARPR

29.4%

25.6%

24.7%

34.4%

13.5%

16.7%

16.4%

35.0%

12.5%

9.8%

14.5%

13.2%

16.5%

20.5%

22.4%

22.5%

29.9%

12.9%

15.9%

15.6%

34.5%

10.5%

10.3%

17.1%

14.8%

16.4%

0% 10% 20% 30% 40%

Single male (age<65)

Single female (age<65)

Single male (age 65+)

Single female (age 65+)

2 adults, no child (age<65)

2 adults, no child (age 65+)

At least 3 adults, no child

1 adult, at least 1 child

2 adults, 1 child

2 adults, 2 children

2 adults, at least 3 children

At least 3 adults, at least 1 child

Other

2019 2022

35.9%

26.3%

26.7%

36.6%

13.4%

11.9%

11.4%

25.7%

10.8%

11.7%

13.8%

15.7%

20.0%

25.4%

20.4%

23.6%

35.6%

8.9%

10.5%

10.5%

22.2%

10.2%

11.8%

20.5%

12.9%

16.7%

0% 10% 20% 30% 40%

2019 2022

13.9%

8.1%

7.0%

7.8%

3.5%

3.9%

3.8%

9.7%

2.5%

1.4%

3.5%

2.3%

4.1%

8.1%

5.7%

5.8%

6.2%

3.7%

3.5%

3.1%

12.2%

1.7%

1.5%

1.6%

2.0%

4.3%

0% 5% 10% 15%

2019 2022

11stat.gov.pl

Comparison of poverty distribution by the type of locality between EU-SILC 2019 and 2022

Subjective economic stress indicator Severe material deprivationARPR

14.2%

16.7%

18.6%

18.1%

20.9%

11.4%

13.7%

15.4%

18.8%

16.0%

0% 5% 10% 15% 20% 25%

500 thous. or more

100-500 thous.

20-100 thous.

up to 20 thous.

Rural areas

2019 2022

11.3%

12.7%

14.3%

17.6%

26.4%

5.9%

9.1%

10.2%

13.5%

19.2%

0% 10% 20% 30%

2019 2022

3.7%

4.0%

4.5%

5.1%

5.4%

1.7%

3.1%

2.4%

4.4%

3.0%

0% 2% 4% 6%

2019 2022

Urban areas by population

12stat.gov.pl

• Logistic regression models • Households treated as statistical units (observations)

• Variables of interest: · subjective economic stress indicator (ECSTRESS, indirect subjective poverty measure) · at-risk-of-poverty-ratio (ARPR, relative income poverty objective measure) · severe material and social deprivation (SMSD, measure of needs deprivation,

objective absolute assessment of material situation)

• Explanatory variables (factors): · socio-economic group (main source of household income) · household type (household composition) · place of residence (type of locality, NUTS-2) · reference person (head of the household) characteristics (age, education level,

profession) · presence in the household of person with some individual socio-economic

characteristics: · unemployed person · person without independent (own) source of income (including children) · person with biological disability (taking into account the level of disability)

Determinants of different kinds of poverty Model based analysis

13stat.gov.pl

Logistic regression results (EU-SILC 2022) Aggregate influence of explanatory variables (factors)

Explanatory variable (factor) Degr. of

freedom

Variable of interest

(kind of poverty to be explained)

ECSTRESS ARPR SMSD

Wald stat. p-value Wald stat. p-value Wald stat. p-value

Socio-economic group 5 123.7 <0.001 878.1 <0.001 98.7 <0.001

Household type 9 466.9 <0.001 1167.8 <0.001 121.5 <0.001

Reference person characteristics:

age 5 17.5 0.004 130.8 <0.001 28.9 <0.001

education level 9 148.6 <0.001 123.9 <0.001 77.4 <0.001

profession 10 132.4 <0.001 411.1 <0.001 107.5 <0.001

Presence in the household of specific

person:

unemployed 1 151.9 <0.001 232.5 <0.001 137.2 <0.001

without independent source

of income 1 17.2 <0.001 405.1 <0.001 18.2 <0.001

with disability (not severe) 1 113.9 <0.001 0.7 0.408 72.8 <0.001

with severe disability 1 307.8 <0.001 4.5 0.034 151.9 <0.001

Characteristics of the residence place

type of locality 4 18.8 0.001 57.8 <0.001 5.6 0.235

NUTS-2 16 80.4 <0.001 52.1 <0.001 26.6 0.046

14stat.gov.pl

Regression – detailed effects/parameters (EU-SILC 2022) Socio-economic group (main income source)

Socio-economic group

Variable of interest

(kind of poverty to be explained)

ECSTRESS ARPR SMSD

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

Employees (ref.)

Farmers -0.06 0.720 1.30 <0.001 -0.25 0.542

Self-employed -0.81 <0.001 0.66 <0.001 -0.80 0.021

Retirees 0.15 0.031 1.75 <0.001 0.10 0.407

Pensioners 0.35 <0.001 2.21 <0.001 0.48 0.002

Living on unearned sources 0.83 <0.001 2.71 <0.001 1.24 <0.001

15stat.gov.pl

Regression – detailed effects/parameters (EU-SILC 2022) Household type

Household type (composition)

Variable of interest

(kind of poverty to be explained)

ECSTRESS ARPR SMSD

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

Single male (ref.)

Single female 0.31 <0.001 0.47 <0.001 -0.12 0.388

2 adults. no child -0.71 <0.001 -1.55 <0.001 -0.73 <0.001

At least 3 adults. no child -1.00 <0.001 -2.15 <0.001 -1.21 <0.001

1 adult. at least 1 child 0.17 0.270 -2.17 <0.001 -0.57 0.026

2 adults. 1 child -0.91 <0.001 -2.55 <0.001 -1.15 <0.001

2 adults. 2 children -1.08 <0.001 -2.48 <0.001 -1.60 <0.001

2 adults. at least 3 children -0.73 <0.001 -2.34 <0.001 -1.67 <0.001

At least 3 adults. at least 1 child -1.26 <0.001 -3.45 <0.001 -2.18 <0.001

Other -0.66 <0.001 -2.07 <0.001 -0.72 0.003

16stat.gov.pl

Regression – detailed effects/parameters (EU-SILC 2022) Reference person education level

Reference person

education level

Variable of interest

(kind of poverty to be explained)

ECSTRESS ARPR SMSD

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

At least primary (ref.)

Basic vocational -0.24 <0.001 -0.16 0.028 -0.39 <0.001

General secondary

(without matriculation) -0.43 0.001 -0.22 0.124 -0.79 0.001

General secondary

(with matriculation) -0.58 <0.001 -0.44 <0.001 -0.79 <0.001

Vocational secondary

(without matriculation) -0.43 <0.001 -0.34 0.002 -0.70 <0.001

Vocational secondary

(with matriculation) -0.65 <0.001 -0.54 <0.001 -0.78 <0.001

Post-secondary -0.46 <0.001 -0.54 <0.001 -1.02 <0.001

Tertiary (bachelor degree) -0.73 <0.001 -0.69 <0.001 -1.29 <0.001

Tertiary (master's degree or higher) -1.16 <0.001 -1.23 <0.001 -1.82 <0.001

17stat.gov.pl

Regression – detailed effects/parameters (EU-SILC 2022) Additional individual characteristics

Presence in the household

of a person with specific

individual characteristics:

Variable of interest

(kind of poverty to be explained)

ECSTRESS ARPR SMSD

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

Unemployed 0.96 <0.001 1.35 <0.001 1.37 <0.001

Without independent

income source 0.38 <0.001 2.15 <0.001 0.60 <0.001

With biological disability

(not severe)* 0.50 <0.001 0.04 0.408 0.77 <0.001

With severe biological

disability 1.02 <0.001 0.15 0.034 1.26 <0.001

* and there is no person with severe biological disability

18stat.gov.pl

Regression – detailed effects/parameters (EU-SILC 2022) Type of locality

Type of locality

(place of residence)

Variable of interest

(kind of poverty to be explained)

ECSTRESS ARPR SMSD

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

Parameter

estimate

Signif.

(p-value)

Urban area (by population):

500 thous. or more (ref.)

100-500 thous. 0.11 0.272 0.07 0.572 0.33 0.087

20-100 thous. 0.27 0.004 0.15 0.176 0.10 0.573

up to 20 thous. 0.32 0.001 0.33 0.005 0.30 0.109

Rural area 0.28 0.002 0.53 <0.001 0.20 0.255

19stat.gov.pl

Main determinants of the poverty (by kind)

Explanatory variable (factor)

Variable of interest

(kind of poverty to be explained)

ECSTRESS ARPR SMSD

Wald stat. p-value Wald stat. p-value Wald stat. p-value

Socio-economic group 123.7 <0.001 (2) 878.1 <0.001 98.7 <0.001

Household type (1) 466.9 <0.001 (1) 1167.8 <0.001 (3) 121.5 <0.001

HH head education level (4) 148.6 <0.001 123.9 <0.001 77.4 <0.001

HH head profession 132.4 <0.001 (3) 411.1 <0.001 (4) 107.5 <0.001

Presence of unemployed (3) 151.9 <0.001 232.5 <0.001 (2) 137.2 <0.001

Presence of person without

independent source of income 17.2 <0.001 (4) 405.1 <0.001 18.2 <0.001

Presence of person with severe

disability (2) 307.8 <0.001 4.5 0.034 (1) 151.9 <0.001

For each of 3 kinds of poverty, four determinants with the highest contribution to the explanation are marked blue (the 1st the is the darkest). All the marked effects are significant at the level 0.001. It occurs also in case of the effects on another kind of poverty (except of the effect of person with severe disability on ARPR, which is, however, significant at the level 0.05)

20stat.gov.pl

The factors (among those included in the models) with the highest contribution to the explanation of the particular kinds of poverty (measured by Wald statistics) are:

• For subjective economic stress indicator (ECSTRESS) : household type, presence of a person with severe disability, presence of an unemployed person and level of education of the head of household

• For the at-risk-of-poverty rate (ARPR): type of household, socio-economic group of the household, occupation of head of household, presence of a person with severe disability

• For severe material and social deprivation (SMSD): presence of a person with severe disability, presence of an unemployed person, household type, household head occupation

The sets of main determinants of the analysed kinds of poverty are similar but not the same; there are also differences in the order of main determinants (by their importance).

Household type (by composition) is the only factor which is among the four most important determinants of each kind of poverty; it is the main determinant of ECSTRESS and ARPR and the third in case of SMSD.

All explanatory factors included in the model have significant effects (at the level 0.05 at least) with except for evidently weaker relationships in case of the effect of disability on ARPR (only severe disability is significant) and the effect of residence place on SMSD (type of locality turned out to be insignificant – what means that the other factors fully explain the differences observed in the distribution)

Concluding remarks – main determinants of particular kinds of poverty

stat.gov.pl

Anna Bieńkuńska

[email protected]

Tomasz Piasecki

[email protected]

Thank you for your attention

  • Slide 1: Comparison of determinants of subjective and objective poverty in Poland based on the results of the EU-SILC
  • Slide 2: Contents:
  • Slide 3: Applied poverty measures
  • Slide 4: Subjective assessments of ability ”to make ends meet” and subjective economic stress indicator (ECSTRESS), % of people ECSTRESS - share of people living in households making ends meet with difficulty or great difficulty
  • Slide 5: Poverty indicators by socio-economic groups of households (main source of income), EU-SILC 2022
  • Slide 6: Poverty indicators by household type, EU-SILC 2022
  • Slide 7: Poverty indicators by the type of locality, EU-SILC 2022
  • Slide 8: Comparison of poverty rates between EU-SILC 2019 and 2022
  • Slide 9: Comparison of poverty distribution by socio-economic groups of households between EU-SILC 2019 and 2022
  • Slide 10: Comparison of poverty distribution by household type between EU-SILC 2019 and 2022
  • Slide 11: Comparison of poverty distribution by the type of locality between EU-SILC 2019 and 2022
  • Slide 12: Determinants of different kinds of poverty Model based analysis
  • Slide 13: Logistic regression results (EU-SILC 2022) Aggregate influence of explanatory variables (factors)
  • Slide 14: Regression – detailed effects/parameters (EU-SILC 2022) Socio-economic group (main income source)
  • Slide 15: Regression – detailed effects/parameters (EU-SILC 2022) Household type
  • Slide 16: Regression – detailed effects/parameters (EU-SILC 2022) Reference person education level
  • Slide 17: Regression – detailed effects/parameters (EU-SILC 2022) Additional individual characteristics
  • Slide 18: Regression – detailed effects/parameters (EU-SILC 2022) Type of locality
  • Slide 19: Main determinants of the poverty (by kind)
  • Slide 20: Concluding remarks – main determinants of particular kinds of poverty
  • Slide 21: Thank you for your attention
Russian

Группа экспертов по измерению бедности и неравенства, ЕЭК ООН, Женева, 28-29 ноября 2022 г.

Анна Бенькуньска

Томаш Пясецки

Сравнение детерминант субъективной и объективной бедности в Польше на основе результатов исследования EU-SILC

2stat.gov.pl

1. Прикладные показатели бедности 2. Распределение бедности по отдельным характеристикам домохозяйств 3. Детерминанты различных видов бедности (анализ на основе моделей) 4. Заключительные замечания

Содержание:

3stat.gov.pl

• индикатор субъективного экономического стресса (ECSTRESS) - косвенный (прокси) субъективный показатель бедности

• уровень риска бедности (ARPR) - объективный относительный показатель бедности, основанный на пороге бедности по доходу (60% национального медианного эквивалентного располагаемого дохода после социальных выплат)

• тяжелая материальная и социальная депривация (СМСР) - объективный абсолютный показатель немонетарной бедности (7 из 13 деприваций)

• тяжелая материальная депривация (ТМД) - объективный абсолютный показатель немонетарной бедности (4 из 9 деприваций)

Прикладные показатели бедности

4stat.gov.pl

EU-SILC 2019 EU-SILC 2022

Домохозяйства, сводящие концы с концами с большим трудом

4.5 3.7

Домохозяйства, с трудом сводящие концы с концами

11.2 11.7

Домохозяйства, с некоторым трудом сводящие концы с концами

34.7 39.8

Домохозяйства, сравнительно легко сводящие концы с концами

34.4 33.1

Домохозяйствам легко сводящие концы с концами

11.6 9.6

Домохозяйства, легко сводящие концы с концами

3.6 2.0

ECSTRESS 15.7 15.4

Субъективные оценки способности «сводить концы с концами» и индикатор субъективного экономического стресса (ECSTRESS), % чел

ЭКСТРЕСС - доля людей, живущих в домохозяйствах, сводящих концы с концами с трудом или большими трудностями

5stat.gov.pl

13.0% 13.1%

7.1%

18.8%

37.8% 39.5%

6.6%

37.7%

10.7%

23.3%

42.3%

60.3%

1.9% 0.5% 0.4%

3.8%

9.6% 12.6%

0%

10%

20%

30%

40%

50%

60%

70%

Employees Farmers Self-employed Retirees Pensioners Living on unearned sources

Subjective economic stress indicator At-risk-of-poverty rate (ARPR) Severe material and social deprivation (SMSD)

Показатели бедности по социально-экономическим группам домохозяйств (основной источник дохода), EU- SILC 2022

6stat.gov.pl

Показатели бедности по типам домохозяйств, EU-SILC 2022

20.5% 22.4% 22.5%

29.9%

12.9%

15.9% 15.6%

34.5%

10.5% 10.3%

17.1%

14.8% 16.4%

25.4%

20.4%

23.6%

35.6%

8.9% 10.5% 10.5%

22.2%

10.2% 11.8%

20.5%

12.9%

16.7%

8.1% 6.5% 6.3% 6.0%

3.1% 3.9% 2.3%

9.3%

1.9% 1.7% 2.5% 1.4%

7.1%

0%

5%

10%

15%

20%

25%

30%

35%

40%

Single male

(age<65)

Single female

(age<65)

Single male

(age 65+)

Single female

(age 65+)

2 adults, no child (age<65)

*

2 adults, no child

(age 65+) **

At least 3 adults, no child

1 adult, at least 1 child

2 adults, 1 child

2 adults, 2 children

2 adults, at least

3 children

At least 3 adults, at least 1 child

Other

Subjective economic stress indicator At-risk-of-poverty rate (ARPR) Severe material and social deprivation (SMSD)

* оба человека в возрасте до 65 лет ** как минимум один человек в возрасте 65+

7stat.gov.pl

Показатели бедности по типу населенного пункта, EU-SILC 2022

11.4%

13.7%

15.4%

18.8%

16.0%

5.9%

9.1% 10.2%

13.5%

19.2%

1.8%

3.4% 2.5%

3.8% 2.7%

0%

5%

10%

15%

20%

25%

500 thous. or more 100-500 thous. 20-100 thous. up to 20 thous. Rural areas

Subjective economic stress indicator At-risk-of-poverty rate (ARPR) Severe material and social deprivation (SMSD)

Городские районы по численности населения

8stat.gov.pl

EU-SILC 2019 EU-SILC 2022

Индикатор субъективного экономического стресса (ECSTRESS) 15.7 15.4

Уровень риска бедности (ARPR) 15.4 13.7

Тяжелые материальные и социальные лишения (SMSD) 3.5 2.8

Тяжелые материальные лишения (SMD) 3.6 3.0

Сравнение уровня бедности между EU-SILC 2019 и 2022 гг.

9stat.gov.pl

Сравнение распределения бедности по социально- экономическим группам домохозяйств между EU-SILC 2019 и 2022 гг.

12.7%

13.3%

7.9%

22.6%

44.1%

45.6%

13.0%

13.1%

7.1%

18.8%

37.8%

39.5%

0% 10% 20% 30% 40% 50%

Employees

Farmers

Self-employed

Retirees

Pensioners

Living on unearned

sources

2019 2022

7.7%

34.9%

16.5%

25.0%

50.3%

57.1%

6.6%

37.7%

10.7%

23.3%

42.3%

60.3%

0% 20% 40% 60%

2019 2022

2.5%

2.2%

1.4%

4.9%

17.4%

19.7%

2.2%

2.8%

0.8%

3.9%

10.8%

10.9%

0% 5% 10% 15% 20%

2019 2022

Субъективный индикатор экономического стресса Тяжелые материальные лишенияARPR

10stat.gov.pl

Сравнение распределения бедности по типам домохозяйств между ЕС-СИЛК в 2019 и 2022 годах

Субъективный индикатор экономического стресса Тяжелые материальные лишенияARPR

29.4%

25.6%

24.7%

34.4%

13.5%

16.7%

16.4%

35.0%

12.5%

9.8%

14.5%

13.2%

16.5%

20.5%

22.4%

22.5%

29.9%

12.9%

15.9%

15.6%

34.5%

10.5%

10.3%

17.1%

14.8%

16.4%

0% 10% 20% 30% 40%

Single male (age<65)

Single female (age<65)

Single male (age 65+)

Single female (age 65+)

2 adults, no child (age<65)

2 adults, no child (age 65+)

At least 3 adults, no child

1 adult, at least 1 child

2 adults, 1 child

2 adults, 2 children

2 adults, at least 3 children

At least 3 adults, at least 1 child

Other

2019 2022

35.9%

26.3%

26.7%

36.6%

13.4%

11.9%

11.4%

25.7%

10.8%

11.7%

13.8%

15.7%

20.0%

25.4%

20.4%

23.6%

35.6%

8.9%

10.5%

10.5%

22.2%

10.2%

11.8%

20.5%

12.9%

16.7%

0% 10% 20% 30% 40%

2019 2022

13.9%

8.1%

7.0%

7.8%

3.5%

3.9%

3.8%

9.7%

2.5%

1.4%

3.5%

2.3%

4.1%

8.1%

5.7%

5.8%

6.2%

3.7%

3.5%

3.1%

12.2%

1.7%

1.5%

1.6%

2.0%

4.3%

0% 5% 10% 15%

2019 2022

11stat.gov.pl

Сравнение распределения бедности по типам населенных пунктов между ЕС-СИЛК 2019 и 2022 гг.

Субъективный индикатор экономического стресса Тяжелые материальные лишенияARPR

14.2%

16.7%

18.6%

18.1%

20.9%

11.4%

13.7%

15.4%

18.8%

16.0%

0% 5% 10% 15% 20% 25%

500 thous. or more

100-500 thous.

20-100 thous.

up to 20 thous.

Rural areas

2019 2022

11.3%

12.7%

14.3%

17.6%

26.4%

5.9%

9.1%

10.2%

13.5%

19.2%

0% 10% 20% 30%

2019 2022

3.7%

4.0%

4.5%

5.1%

5.4%

1.7%

3.1%

2.4%

4.4%

3.0%

0% 2% 4% 6%

2019 2022

Urban areas by population

12stat.gov.pl

• Модели логистической регрессии • Домохозяйства, рассматриваемые как статистические единицы (наблюдения)

• Переменные, представляющие интерес : · показатель субъективного экономического стресса (ECSTRESS, косвенная

субъективная мера бедности) · коэффициент риска бедности (ARPR, объективная мера бедности по

относительному доходу) · тяжелые материальные и социальные лишения (SMSD, мера лишения

потребностей, объективная абсолютная оценка материального положения)

• Объясняющие переменные (факторы): · социально-экономическая группа (основной источник дохода домохозяйства) · тип домохозяйства (состав домохозяйства) · место жительства (тип населенного пункта, NUTS-2) · характеристики референта (главы домохозяйства) (возраст, уровень

образования, профессия) · наличие в домохозяйстве человека с определенными индивидуальными

социально-экономическими характеристиками : · безработный · лицо, не имеющее независимого (собственного) источника дохода (включая детей) · человек с биологической инвалидностью (с учетом уровня инвалидности)

Детерминанты различных видов бедности Анализ на основе моделей

13stat.gov.pl

Результаты логистической регрессии (EU-SILC 2022) Совокупное влияние объясняющих переменных (факторов)

Объясняющая переменная

(фактор)

Степень

свободы

Переменная интереса

(вид бедности, который необходимо объяснить)

ECSTRESS ARPR SMSD

Wald stat. p-value Wald stat. p-value Wald stat. p-value

Социоэкономическая группа 5 123.7 <0.001 878.1 <0.001 98.7 <0.001

Тип домохозяйства 9 466.9 <0.001 1167.8 <0.001 121.5 <0.001

Характеристики референтного лица:

возраст 5 17.5 0.004 130.8 <0.001 28.9 <0.001

уровень образования 9 148.6 <0.001 123.9 <0.001 77.4 <0.001

профессия 10 132.4 <0.001 411.1 <0.001 107.5 <0.001

Присутствие в семье конкретного

человека:

безработный 1 151.9 <0.001 232.5 <0.001 137.2 <0.001

без независимого

источника дохода 1 17.2 <0.001 405.1 <0.001 18.2 <0.001

с инвалидностью (не

тяжелой) 1 113.9 <0.001 0.7 0.408 72.8 <0.001

с тяжелой формой

инвалидности 1 307.8 <0.001 4.5 0.034 151.9 <0.001

Характеристика места проживания

тип населенного пункта 4 18.8 0.001 57.8 <0.001 5.6 0.235

NUTS-2 16 80.4 <0.001 52.1 <0.001 26.6 0.046

14stat.gov.pl

Регрессия - подробные эффекты/параметры (EU-SILC 2022) Социоэкономическая группа (основной источник дохода)

Социоэкономическая

группа

Переменная интереса

(вид бедности, который необходимо объяснить)

ECSTRESS ARPR SMSD

Оценка

параметра

Значимость

(p-value)

Оценка

параметра

Значимость

(p-value)

Оценка

параметра

Значимост

ь (p-value)

Сотрудники (реф.)

Фермеры -0.06 0.720 1.30 <0.001 -0.25 0.542

Самозанятые -0.81 <0.001 0.66 <0.001 -0.80 0.021

Отставники 0.15 0.031 1.75 <0.001 0.10 0.407

Пенсионеры 0.35 <0.001 2.21 <0.001 0.48 0.002

Жизнь на нетрудовые

доходы 0.83 <0.001 2.71 <0.001 1.24 <0.001

15stat.gov.pl

Регрессия - подробные эффекты/параметры (EU-SILC 2022) Тип домохозяйства

Тип домохозяйства (состав)

Переменная интереса

(вид бедности, который необходимо объяснить)

ECSTRESS ARPR SMSD

Оценка

параметра

Значимость

(p-value)

Оценка

параметра

Значимост

ь (p-value)

Оценка

параметра

Значимост

ь (p-value)

Одинокий мужчина (ссылка)

Одинокая женщина 0.31 <0.001 0.47 <0.001 -0.12 0.388

2 взрослых без детей -0.71 <0.001 -1.55 <0.001 -0.73 <0.001

Не менее 3 взрослых без детей -1.00 <0.001 -2.15 <0.001 -1.21 <0.001

1 взрослый, минимум 1 ребенок 0.17 0.270 -2.17 <0.001 -0.57 0.026

2 взрослых, 1 ребёнок -0.91 <0.001 -2.55 <0.001 -1.15 <0.001

2 взрослых, 2 детей -1.08 <0.001 -2.48 <0.001 -1.60 <0.001

2 взрослых, минимум 3 ребенка -0.73 <0.001 -2.34 <0.001 -1.67 <0.001

Не менее 3 взрослых, минимум

1 ребенок -1.26 <0.001 -3.45 <0.001 -2.18 <0.001

Прочее -0.66 <0.001 -2.07 <0.001 -0.72 0.003

16stat.gov.pl

Регрессия - подробные эффекты/параметры (EU-SILC 2022) Уровень образования референта

Уровень образования

референта

Переменная интереса

(вид бедности, который необходимо объяснить)

ECSTRESS ARPR SMSD

Оценка

параметра

Значимость

(p-value)

Оценка

параметра

Значимость

(p-value)

Оценка

параметра

Значимо

сть (p-

value)

По меньшей мере, начальное

(ссылка)

Базовое профессиональное -0.24 <0.001 -0.16 0.028 -0.39 <0.001

Общее среднее образование (без

аттестата зрелости) -0.43 0.001 -0.22 0.124 -0.79 0.001

Общее среднее (с аттестатом

зрелости) -0.58 <0.001 -0.44 <0.001 -0.79 <0.001

Среднее профессиональное

образование (без аттестата

зрелости)

-0.43 <0.001 -0.34 0.002 -0.70 <0.001

Среднее специальное образование

(с получением аттестата

зрелости)

-0.65 <0.001 -0.54 <0.001 -0.78 <0.001

Высшее образование -0.46 <0.001 -0.54 <0.001 -1.02 <0.001

Высшее образование (бакалавриат) -0.73 <0.001 -0.69 <0.001 -1.29 <0.001

Высшее образование (степень

магистра или выше) -1.16 <0.001 -1.23 <0.001 -1.82 <0.001

17stat.gov.pl

Регрессия - подробные эффекты/параметры (EU-SILC 2022) Дополнительные индивидуальные характеристики

Наличие в домохозяйстве

человека с

определенными

индивидуальными

характеристиками:

Переменная интереса

(вид бедности, который необходимо объяснить)

ECSTRESS ARPR SMSD

Оценка

параметра

Значимость

(p-value)

Оценка

параметра

Значимость

(p-value)

Оценка

параметра

Значимос

ть (p-

value)

Безработные 0.96 <0.001 1.35 <0.001 1.37 <0.001

Без независимого

источника дохода 0.38 <0.001 2.15 <0.001 0.60 <0.001

С биологической

инвалидностью (не

тяжелой)*

0.50 <0.001 0.04 0.408 0.77 <0.001

С тяжелой биологической

инвалидностью 1.02 <0.001 0.15 0.034 1.26 <0.001

* и нет человека с тяжелой биологической инвалидностью

18stat.gov.pl

Регрессия - подробные эффекты/параметры(EU-SILC 2022) Тип населенного пункта

Тип населенного пункта

(место жительства)

Переменная интереса

(вид бедности, который необходимо объяснить)

ECSTRESS ARPR SMSD

Оценка

параметра

Значимост

ь (p-value)

Оценка

параметра

Значимос

ть (p-

value)

Оценка

параметра

Значимос

ть (p-

value)

Городская зона (по

численности населения):

500 тыс. и более (реф.)

100-500 тыс. 0.11 0.272 0.07 0.572 0.33 0.087

20-100 тыс. 0.27 0.004 0.15 0.176 0.10 0.573

up to 20 тыс. 0.32 0.001 0.33 0.005 0.30 0.109

Сельская зона 0.28 0.002 0.53 <0.001 0.20 0.255

19stat.gov.pl

Основные факторы, определяющие бедность (по видам)

Объяснительная переменная

(фактор)

Переменная интереса

(вид бедности, который необходимо объяснить)

ECSTRESS ARPR SMSD

Оценка

параметра

Значимость

(p-value)

Оценка

параметра

Значимость

(p-value)

Оценка

параметра

Значимос

ть (p-

value)

Социоэкономическая группа 123.7 <0.001 (2) 878.1 <0.001 98.7 <0.001

Тип домохозяйства (1) 466.9 <0.001 (1) 1167.8 <0.001 (3) 121.5 <0.001

Уровень образования главы

домохозяйства (4) 148.6 <0.001 123.9 <0.001 77.4 <0.001

Профессия главы

домохозяйства 132.4 <0.001 (3) 411.1 <0.001 (4) 107.5 <0.001

Наличие безработных (3) 151.9 <0.001 232.5 <0.001 (2) 137.2 <0.001

Наличие лица без

независимого источника

дохода 17.2 <0.001 (4) 405.1 <0.001 18.2 <0.001

Наличие лица с тяжелой

инвалидностью (2) 307.8 <0.001 4.5 0.034 (1) 151.9 <0.001

Для каждого из трех видов бедности четыре детерминанты с наибольшим вкладом в объяснение отмечены синим цветом (первая - самая темная). Все отмеченные эффекты значимы на уровне 0,001. Это происходит и в случае эффектов на другой вид бедности (за исключением эффекта человека с тяжелой инвалидностью на ARPR, который, однако, значим на уровне 0,05)

20stat.gov.pl

Факторы (из числа включенных в модели) с наибольшим вкладом в объяснение конкретных видов бедности (по статистике Вальда) следующие : • Для субъективного показателя экономического стресса (ECSTRESS): тип домохозяйства,

наличие человека с тяжелой инвалидностью, наличие безработного и уровень образования главы домохозяйств

• Для коэффициента риска бедности (ARPR): тип домохозяйства, социально-экономическая группа домохозяйства, профессия главы домохозяйства, наличие человека с тяжелой инвалидностью

• Для тяжелых материальных и социальных лишений (ТМСЛ): наличие людей с тяжелой инвалидностью, наличие безработных, тип домохозяйства, род занятий главы домохозяйства

Наборы основных детерминант анализируемых видов бедности схожи, но не одинаковы; существуют также различия в порядке расположения основных детерминант (по их значимости).

Тип домохозяйства (по составу) - единственный фактор, который входит в четверку наиболее важных детерминант каждого вида бедности; он является основным детерминантом для ECSTRESS и ARPR и третьим в случае SMSD.

Все объясняющие факторы, включенные в модель, имеют значимые эффекты (на уровне не ниже 0,05), за исключением явно слабых связей в случае влияния инвалидности на ARPR (значима только тяжелая инвалидность) и влияния места проживания на SMSD (тип населенного пункта оказался незначимым - что означает, что остальные факторы полностью объясняют различия, наблюдаемые в распределении)

Заключительные замечания - основные детерминанты отдельных видов бедности

stat.gov.pl

Anna Bieńkuńska

[email protected]

Tomasz Piasecki

[email protected]

Благодарим за внимание

  • Slide 1: Сравнение детерминант субъективной и объективной бедности в Польше на основе результатов исследования EU-SILC
  • Slide 2: Содержание:
  • Slide 3: Прикладные показатели бедности
  • Slide 4: Субъективные оценки способности «сводить концы с концами» и индикатор субъективного экономического стресса (ECSTRESS), % чел ЭКСТРЕСС - доля людей, живущих в домохозяйствах, сводящих концы с концами с трудом или большими трудностями
  • Slide 5: Показатели бедности по социально-экономическим группам домохозяйств (основной источник дохода), EU-SILC 2022
  • Slide 6: Показатели бедности по типам домохозяйств, EU-SILC 2022
  • Slide 7: Показатели бедности по типу населенного пункта, EU-SILC 2022
  • Slide 8: Сравнение уровня бедности между EU-SILC 2019 и 2022 гг.
  • Slide 9: Сравнение распределения бедности по социально-экономическим группам домохозяйств между EU-SILC 2019 и 2022 гг.
  • Slide 10: Сравнение распределения бедности по типам домохозяйств между ЕС-СИЛК в 2019 и 2022 годах
  • Slide 11: Сравнение распределения бедности по типам населенных пунктов между ЕС-СИЛК 2019 и 2022 гг.
  • Slide 12: Детерминанты различных видов бедности Анализ на основе моделей
  • Slide 13: Результаты логистической регрессии (EU-SILC 2022) Совокупное влияние объясняющих переменных (факторов)
  • Slide 14: Регрессия - подробные эффекты/параметры (EU-SILC 2022) Социоэкономическая группа (основной источник дохода)
  • Slide 15: Регрессия - подробные эффекты/параметры (EU-SILC 2022) Тип домохозяйства
  • Slide 16: Регрессия - подробные эффекты/параметры (EU-SILC 2022) Уровень образования референта
  • Slide 17: Регрессия - подробные эффекты/параметры (EU-SILC 2022) Дополнительные индивидуальные характеристики
  • Slide 18: Регрессия - подробные эффекты/параметры(EU-SILC 2022) Тип населенного пункта
  • Slide 19: Основные факторы, определяющие бедность (по видам)
  • Slide 20: Заключительные замечания - основные детерминанты отдельных видов бедности
  • Slide 21: Благодарим за внимание

Comparison of determinants of subjective and objective poverty in Poland (based on the results of the EU-SILC survey), Anna Szukiełojć-Bieńkuńska (Poland)

EU-SILC, the European survey on income and living conditions of the population, is a basic source of information on poverty that is harmonized at European Union level. The presentation will demonstrate the results of an analysis based on this survey that compares the determinants of subjective and objective poverty in Poland. In the EU-SILC, there are no questions that directly measure subjective poverty (the share of the population that considers itself poor).

Languages and translations
English

United Nations Economic Commission for Europe

Palais des Nations, 1211 Geneva 10, Switzerland

Telephone: +41 (0)22 917 1234 (Palais des Nations)

UNITED NATIONS

ECONOMIC COMMISSION FOR EUROPE

CONFERENCE OF EUROPEAN STATISTICIANS

Group of Experts on Measuring Poverty and Inequality

28-29 November 2023

Workshop on Harmonization of Poverty Statistics to

Measure SDG 1 and 10

27 November 2023

Title of contribution Comparison of determinants of subjective and objective poverty in Poland

based on the results of the EU-SILC

Author Name(s) Anna Bienkunska, Tomasz Piasecki

Presenter Name Anna BIenkunska

Presenter Organization Statistics Poland

Topic Subjective poverty

Summary:

EU-SILC, the European survey on income and living conditions of the population, is a basic source of

information on poverty that is harmonized at European Union level. The presentation will demonstrate

the results of an analysis based on this survey that compares the determinants of subjective and

objective poverty in Poland. In the EU-SILC, there are no questions that directly measure subjective

poverty (the share of the population that considers itself poor). Instead, the variables included in this

survey provide an opportunity to use indirect (proxy) methods to measure subjective poverty. On the

basis of a question on the assessment of the ability to make ends meet (variable HS 120), an indicator

of subjective economic stress was calculated, which is treated as an indirect measure of subjective

poverty. In the case of so-called objective indicators, the analysis includes two indicators - „at-risk-of-

poverty rate” (ARPR) and the 'severe material and social deprivation rate' (SMSD). Logistic regression

models were used to analyze the impact of potential factors on the occurrence of various forms of

poverty. EU-SILC 2022 (latest available data) and EU-SILC 2019 (the period before COVID-19) were

used in the poverty determinant analysis. The repeated measurement (and analysis) referring to two

time points can, to some extent, assess the stability of poverty risk factors.

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

☒ Presentation

☐ Paper (to be submitted by 20 October)

SDC in statistical education - the Polish experience, Statistics Poland

statistical disclosure control, privacy protection methods, raise public awareness, specialized training workshops, preparatory training for new employees of statistical offices, course on data confidentiality protection methods

Languages and translations
English

1

FUNITED NATIONS ECONOMIC COMMISSION FOR EUROPE

CONFERENCE OF EUROPEAN STATISTICIANS

Expert Meeting on Statistical Data Confidentiality

26-28 September 2023, Wiesbaden

SDC in statistical education - the Polish experience

Tomasz Klimanek1,2, Tomasz Józefowski1,2, Andrzej Młodak1,3 1Statistical Office in Poznań, Poland, 2Poznań University of Economics and Business, Poznań, Poland, 3Calisia University – Kalisz, Poland

Abstract

In addition to the development of the principles and tools of statistical disclosure control, it is also important to raise public awareness of why and how these methods are applied. In particular, the public should be educated about the use of SDC to protect privacy on the one hand and to maximize the amount of publicly available information, on the other. Educational efforts in this regard should obviously start with the NSI staff responsible for efficient data protection, and then this knowledge should be disseminated among data users and taught to people who handle statistics and data managers in various institutions and economic entities. In the paper we present some activities in this area that have been undertaken in Poland recently. They include specialized training workshops for members of the team responsible for SDC methods, including current and future experts in this field at Statistics Poland as well as SDC topics covered in the preparatory training for new employees of statistical offices in Poland. We also offer a brief overview of a monograph on SDC methods, which is about to be published by Poznań University of Economics and Business (PUEB), which is addressed to all those interested in ways of handling sensitive data or applying for access to microdata or tabular data from various sources. We will also present the syllabus of a new course entitled “Data confidentiality protection methods”, which is going to be launched at PUEB. Other educational initiatives, such as a tutorial on data protection for students writing their diploma theses are mentioned.

Key words: statistical disclosure control, statistical education, training, preparatory training

1. Introduction

The growing demand for detailed statistical information in recent years has led to the intensive development of statistical disclosure control (SDC) methods, processes, and tools. The main purpose of SDC is to ensure safe and efficient dissemination of data collected by official statistics. It is therefore necessary to prepare employees of national statistical institutes to efficiently implement SDC processes. NSI staff should have a broad knowledge of various SDC methods and tools, be able to apply them in specific situations and obtain sufficiently safe and useful data to be released. In particular, they should have the ability to choose appropriate SDC methods to handle data from a given survey taking into account its methodology and current (and sometimes even expected future) users’ needs.

Also newly employed staff could benefit from SDC training. In Poland – as in many other countries – new employees are obliged to participate in a special training, which is usually the first stage of their professional career in public administration and civil service. We believe this training should cover problems connected with statistical confidentiality and SDC, even if only to a limited extent.

Official statistics are not the only data source that can be used for scientific or analytical purposes. There are many data custodians (both public, such as central government agencies and units of local government, and private, e.g. various economic entities), which collect data they need to perform their activities and tasks. For instance, data from public opinion polls or market research concerning preferences of customers (e.g. audience size of different TV stations or the structure of purchases based on data from cash registers) are very valuable for social studies and are of interest to scientists and analysts. This means that the knowledge of efficient ways of protecting the privacy of their stakeholders or customers is also important for them. In addition, the protection of

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data privacy is regulated by various laws, which also require commonly available guidelines. To exemplify how such guidelines could look like, we present a Polish handbook written by current or former NSI employees, which we believe could provide useful knowledge about SDC to various data holders planning to release their data to external users.

The last but not least important group of persons who should be aware of the benefits, drawbacks and expected effects of SDC methods are end users of statistical data. Many of them are students preparing their diploma theses (mainly BSc., MSc or PhD), scientists conducting their research or various business analysts (e.g. in the field of market research). When users are familiar with the principles regulating access to data, general types of SDC methods (e.g. confidentiality rules) and the impact of SDC on data quality, they can then correctly assess the real value of resulting data analyses. Of course, it is difficult to reach all potential recipients with the right message, but by providing relevant information to students one can hope that in time this knowledge will reach all interested parties. Moreover, students often conduct their own polls or targeted surveys and should know how to properly protect sensitive information they collect. This is why we also present a proposal of a course syllabus called “Methods of protecting data privacy” addressed to students of economic studies who cover quantitative methods at the Poznań University of Economics and Business in Poznań, Poland.

The paper is organized as follows. In Section we present the aims and scope of trainings for experts, which cover the main principles of statistical disclosure control and the main stages of the SDC process. Section 3 describes how basic aspects of SDC are presented during the initial training of new NSI employees. Section 4 deals with selected problems and examples of SD education for a wide range of potential users. Section 5 provides the most important conclusions od suggestions for the future.

2. Training of experts

SDC education should obviously start with the NSI staff responsible for efficient data protection. The goal is to provide the staff with a broad knowledge of SDC and how these methods apply to survey methodology in order to maximally protect the privacy of respondents while simultaneously ensuring the maximum utility of data for end users. Basic knowledge about SDC should also be disseminated among data users and taught to people who handle statistics, e.g. data managers in various institutions and economic entities.

The way the SDC process is organised varies across countries. In Poland, there is a dedicated team responsible for SDC methods, which prepares the principles and guidelines for how to conduct the SDC process in various surveys. Moreover, units responsible for particular surveys should have their own methodologists that are responsible for SDC. To ensure that all NSI units in Poland have the required knowledge of SDC, a series of trainings have been conducted. They mainly took place in 2019 and were divided into basic and advanced courses. The basic training covered the following topics:

 general concepts and their definitions: o types of data disclosure o types of users from the point of view of SDC

 regulations and principles used in the international practice of SDC: o regulations in Poland, the European Union and other countries around the world o codes of good practices

 basic types of disclosed information – tabular data and microdata: o types of disclosed information o types of microdata from the point of view of SDC

 disclosure risk and information loss: o disclosure scenarios o individual, global and hierarchical risk o measurement of risk o information loss due to the application of SDC o ways of measuring information loss o the trade-off between minimizing disclosure risk and minimizing information loss

 main methods of protecting sensitive information in frequency and magnitude tables: o frequency tables:

 non-perturbative methods  perturbative methods

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o magnitude tables:  non-perturbative methods  perturbative methods

 SDC methods and techniques for microdata: o anonymization as a preliminary stage of protecting sensitive data o non-perturbative methods:

 subsampling  recoding  local data suppression

o perturbative methods:  noise addition  microaggregation  data or range swapping  rounding  secondary subsampling  PRAM

 software used for protecting statistical confidentiality: o τ–Argus o μ–Argus o tools of the R environment

 problems connected with the preparation of microdata for external users (public use files) – e.g. data from the LFS or EU-SILC:

o principles of data disclosure to specific users and their rights and obligations o organization and safety of microdata disclosure

 stationary access (in research data centres)  remote access  control of microdata use.

The advanced training included specific methodological and technical problems of SDC and relevant practical exercises, i.e.:

 application of dedicated R packages – e.g. sdcTable and sdcMicro,  methods of generating synthetic microdata and new algorithms for protecting statistical

confidentiality, e.g. the cell-key method,  problems connected with the preparation of microdata for external users (PUFs), e.g. from the LFS

or the EU-SILC,  methods of protecting statistical confidentiality of census data.

The third training was addressed to members of the general expert team. The topics covered were similar to those in the first two trainings, but they were presented in a more condensed manner. In a questionnaire after completing the training the participants said they were planning to use the presented methods and tools in their daily work. When asked to identify the main problems related to SDC, the mentioned things like the need for more training in the use of R, the lack of competent staff and the lack of experience in the use of SDC.

In the following years (among other things because of the COVID-19 pandemic) SDC training was offered in the form of direct individual consultations or on-line sessions, which also proved to be effective. Currently, the Team for Methods of Statistical Disclosure Control is preparing special guidelines for NSI employees (Statistics Poland (2023)) to support the implementation of the SDC process.

3. SDC issues for new employees of official statistics

The development of competent NSI staff involves equipping new employees with the knowledge and skills they need to perform tasks in the course of civil service. Preparatory service training for people employed in public administration includes learning about basic mechanisms and rules that govern specific public agencies. In the case of NSI employees preparatory service training consists of two parts: obligatory and optional. The obligatory part is divided into basic and extended. The basic part is in fact common for all government institutions and concerns the general functioning of the public administration sector. The extended part covers specific aspects of

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official statistics (the legal basis, organization of official statistics, organization of statistical surveys, IT, safety of information, crisis management, international cooperation, publication policy, etc.).

Since 2021, the methodological aspects of SDC have been covered as part of topic 3 (principles of organising statistical surveys): Confidentiality and utility of output data in official statistics1. The study materials succinctly describe various aspects of data protection and SDC. Given the scope of the preparatory service training SDC issues had to be limited to the most important ones and included:

 the legal basis of statistical confidentiality  anonymisation and pseudonymisation  aims and basic concepts of SDC  disclosure, disclosure risk and information loss  user as an analyst and user as an intruder  the SDC process, its components and stages  SDC for microdata  SDC for tabular data  SDC for statistical outputs.

The materials do not include any mathematical and formal descriptions and do not cover specific details of different SDC tools. The effectiveness of the training is evaluated by means of a quiz at the end of this section to check if the knowledge has been properly acquired. Long-term effects of this training can be only be assessed after a few years at the earliest.

4. Education of potential data users and other stakeholders

As stated at the beginning, tom make sure that SDC methods and tools are well understood and used effectively, the knowledge about SDC needs to be broadly popularised not only among the NSI staff but also among various data holders responsible for the protection of data confidentiality and among end users interested in conducting analyses based on statistical data. The knowledge of SDC is also essential for people who collect any kind of sensitive data as part of their own research.

In an effort to make such knowledge easily accessible, a group of NSI employees from the Statistical Office in Poznań have prepared a handbook entitled Confidentiality vs. utility of statistical information. Dilemmas of statistical disclosure control (Młodak et al., 2023). The monograph is an attempt to provide a comprehensive description of all aspects of SDC, including the goal and definition of statistical disclosure control, its formal and legal principles, particularly current regulations and international recommendations regarding data confidentiality, types of released data (including metadata, i.e., information about definitions of concepts that characterise units, reference periods of data collection and units for which data are collected, measurement methods, possible exceptions to rules of determining variables or missing data, explanations of known causes of deviations or gaps; paradata, i.e., information about the process by which the data were collected, which can be used to explain interpretations of the resulting characteristics of survey units as well as data not included in the survey itself but automatically collected during survey administration, such as the number of times a given respondent has visited the webpage with the survey form, the number of data changes made, the time taken to complete the form, etc. as well as other data). The disclosure process, types of data users from the perspective of SDC, typologies of statistical outputs with respect to the protection of sensitive information and the trade-off between disclosure risk and data utility are explained. One section of the monograph contains an overview of the most important SDC solutions and regulations implemented in different European countries and another one provides a description of the main kinds of microdata and the role of metadata and paradata in the SDC process.

In particular, the monograph describes SDC methods for microdata, tabular data and output checking, presenting characteristics of each type of data, their sources and fundamental principles of their protection, mathematical methods and IT tools used for this purpose as well as organisational and technological aspects of releasing statistical data, which are associated with the risk of unit re-identification or disclosure of sensitive information. In addition, it also describes measures of protecting confidentiality which can be applied to outputs of statistical analyses, such as descriptive statistics, estimates of econometric models or charts. The authors have attempted to present the complexity of SDC and various rules for estimating re-identification risk. A

1 The topic “safety of information” concerns only the legal basis of personal data protection and the system of safety management, which is not directly related to the methodology of SDC.

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comprehensive assessment of the effects of applying SDC should include an estimate of disclosure risk and the expected information loss due to the suppression or perturbation of sensitive information.

The main purpose of SDC is to achieve an optimal trade-off between these two minimisation goals. Therefore, the authors of the monograph pay a lot of attention to the problems of measuring disclosure risk and information loss. Taking into account various disclosure scenarios, two main types of disclosure risk are discussed:

 internal risk – when a unit can potentially be re-identified only on the basis of data made available to the user;

 external risk – when the user has access to other sources of data, which can be linked with the released dataset; this risk is much harder to measure because there is usually little or no information about other data sources available to the user, except for what can be inferred from the user’s place of employment (e.g., if the user works at a labour office, they are likely to have access to the register of unemployed people, which can be linked with microdata from the LFS survey).

The monograph provides numerous examples showing how to construct such measures and how to interpret them; the examples demonstrate the usefulness of various measures for different use cases of released data, including measures of estimation precision.

Nowadays, data collection, processing and analysis cannot be performed without the help of appropriate IT tools. This is also true in the case of statistical disclosure control. Although the development of this branch of statistics is only now starting to accelerate, a number of useful programming tools have already been created to facilitate the SDC process involving digital sets of numerical or symbolic data. The monograph presents an overview of the most commonly used IT tools for SDC. The section starts with the presentation of two, probably most well-known, open source programmes: &#x1d70f;–Argus and &#x1d707;–Argus. Both were developed by Statistics Netherlands (Centraal Bureau voor de Statistiek) in the course of a few European projects. They are Java-based programmes, available with and without a bundled JRE7 distribution. Other SDC tools have been implemented in the R software and include a number of dedicated packages, such as sdcTable, sdcMicro, recordSwapping, cellKey, etc. The section ends with a brief description of possibilities offered by other SDC tools.

The protection of data confidentiality is also associated with organisational problems related to releasing official statistics and the need to check them to prevent a disclosure of sensitive information. The monograph presents arguments in favour of releasing statistical outputs, including appropriately prepared unit-level data for scientific research purposes (Scientific Use Files), different ways in which access to such files can be granted as well as specific requirements associated with such forms of release. These include formal requirements that persons or institutions applying for access to microdata must satisfy, as well as requirements regarding the level of protection that the data administrator (typically a NSI, but this can be any data holder) should guarantee in order to prevent unauthorised persons from gaining access to sensitive information.

The publication of the monograph was co-financed from the state budget under the “Excellent Science” programme of the Polish Minister of Education and Science and will be available both in electronic and printed form.

As already noted, statistical data are necessary to obtain reliable and valuable analytical outputs. It is worth noting that many students, when writing their theses (BSc., MSc., PhD) or other studies not only rely on available data from various sources but conduct their own polls, experiments or other surveys. Data collected in this polls may also contain sensitive information, which should be properly protected. Graduates can be also use data provided by official statistics or other custodians as part of their work. It is therefore important they should be aware of SDC rules, methods and tools and their impact on the final output.

It is with students’ needs in this respect that Poznań University of Economics and Business (PUEB) has included a special course about statistical disclosure control in the curriculum. Its aims are to familiarise students with key issues and concepts connected with the protection of data confidentiality, to present methods and techniques that help to maintain confidentiality of released data and to teach them how to use dedicated software when working with sensitive information.

After completing this course student should know the aims, principles and basic concepts of SDC, the main stages of the SDC process, specific SDC methods and techniques and should understand the trade-off between minimization of disclosure risk and information loss due to the application of SDC tools. They should also be able to identify potential threats relating to data confidentiality and choose optimal SDC methods and tools in specific situations.

The detailed syllabus of the course includes the following topics:

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 protection of data confidentiality – aims and basic principles  definition of basic concepts  typology of output data  legal solutions and formal or ethical principles used in international practice regarding the protection

of data confidentiality  measurement and assessment of the risk of disclosure of confidential information depending on the

type of output data  non-perturbative and perturbative methods and techniques in SDC  information loss and its measurement  an overview of selected software used in the SDC process.

This lecture/course is conducted by experts in the field. The group of students expected to participate in the course and the number of lecturers may expand in the future.

It is also important that diploma thesis supervisors should pay special attention to the quality of data obtained by students and how it is affected by SDC and should instil in them the need to always protect sensitive information included in the collected data.

5. Concluding remarks

One of key tasks of modern statistics is to educate as many people as about the aims, rules and methods of SDC. A variety of measures are necessary to fulfil this task on the part of those who are involved in preparing and disseminating statistical data and those who use them. Initiatives and ideas presented in this article have already been implemented and can potentially reach many people, especially of these measures are further developed.

However, the proposed solutions do not exhaust the range of possibilities in this respect. One can think of other ways promoting SDC among various data holders, such as handbooks and guidelines disseminated among employees, organising internal trainings and lectures, providing assistance or consultations, if necessary. Currently, activities in this regard (apart from the SDC User Group within the Centre of Excellence) are still far from sufficient. It is therefore necessary to consider how to organise such cooperation and ensure it can be sustainable in terms of specialised staff involved and financing. Of course, particular organisations operate in different circumstances. While detailed regulations and mechanisms concerning data privacy depend on the sector and type of organisation, there are some common realities, principles and solutions which can be beneficial to all of them.

It is obvious that SDC topics in statistical education should be presented to university students, especially those whose fields of study depend on the collection and use of statistical data. However, pupils in secondary schools also learn fundamentals of statistics and conduct simple data analyses. It therefore reasonable that they, too, should become familiar with the most essential aspects of SDC. One way in which this can be achieved is by organising competitions, such as the European Statistics Competition or national competitions in statistics held in various countries (e.g. the annual Statistical Olympiad held in Poland since 2016). It would be good if such competitions included questions or subjects related to data protection and SDC.

6. References

Młodak, A., Pietrzak, M., Klimanek, T., Józefowski, T. & Lańduch, P. (2023), Confidentiality vs. utility of statistical information. Dilemmas of statistical disclosure control, Poznań University of Economics and Business Press, Poznań, Poland (in Polish).

Statistics Poland (2023), Guide for official statistics service units on the control of statistical data disclosure control, Collective study of the Team for Methods of Statistical Disclosure Control, Warsaw (under preparation).

SDC in statistical education – the Polish experience Tomasz Klimanek Tomasz Józefowski Andrzej Młodak

Statistical Office in Poznań, Poland

Poznań, September 2023

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Introduction The growing demand for detailed statistical data requires the use and promotion of Statistical Disclosure Control (SDC). The staff of national statistical institutes (NSI) should have a broad knowledge of various SDC methods and tools, be able to apply them to obtain sufficiently safe and useful data to be released. Newly employed NSI staff could benefit from SDC training, which should include an overview of basis SDC problems. The knowledge of efficient ways of protecting the privacy of data stake- holders or customers is also important for many data custodians, who collect data to perform their activities and tasks. Users of statistical data (students preparing e.g. diploma theses, scien- tists, analysts, etc.) should also be aware of the benefits, drawbacks and expected effects of SDC methods. We will present various ways of disseminating knowledge about data privacy protection and SDC among these target groups that have alre- ady been applied or that will be introduced in the near future in Poland.

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Outline of the presentation

1 Training of experts

2 SDC issues for new employees of official statistics

3 Education of potential data users and other stakeholders

4 Concluding remarks

5 References

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Training of experts Basic assumptions

SDC education should start with NSI staff responsible for efficient data protection. The goal is to provide them with a broad knowledge of SDC and how these methods can be applied to survey data in order to maxi- mally protect the privacy of respondents while simultaneously ensuring the maximum utility of data for end users. Basic knowledge of SDC should also be disseminated among data users and taught to people who handle statistics, e.g. data managers in va- rious institutions and economic entities. In Poland, there is a dedicated team responsible for SDCmethods, which prepares the principles and guidelines on how to conduct the SDC pro- cess in various surveys. Moreover, units responsible for particular su- rveys should have their own methodologists responsible for SDC. To ensure that all NSI units in Poland have the required knowledge of SDC, a series of trainings have been conducted. They mainly took place in 2019 and were divided into basic and advanced courses.

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Training of experts Basic training for NSI staff

General concepts and definitions Regulations and principles used in the international practice of SDC Basic types of disclosed information – tabular data and microdata Disclosure risk and information loss (disclosure scenarios; individual, global and hierarchical risk; measurement of risk; information loss due to the application of SDC; ways ofmeasuring information loss; the trade- off betweenminimizing disclosure risk andminimizing information loss) Mainmethods of protecting sensitive information in frequency andma- gnitude tables (non-perturbative and perturbative) SDC methods and techniques for microdata (non-perturbative and per- turbative) Software used for protecting statistical confidentiality (τ-Argus,µ-Argus, R tools, etc.) Problems connectedwith the preparation ofmicrodata for external users (public use files) – e.g. data from the LFS or EU-SILC.

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Training of experts Advanced and other trainings within NSI

The advanced training included specific methodological and technical problems of SDC and practical exercises, i.e.:

application of dedicated R packages – e.g. sdcTable and sdcMicro, methods of generating synthetic microdata and new algorithms for protecting statistical confidentiality, e.g. the cell-key method, problems connected with the preparation of microdata for external users (PUFs), e.g. from the LFS or the EU-SILC, methods of protecting statistical confidentiality of census data.

The third training featuring similar issues but in amore condensed form was addressed to members of the expert team, who were planning to use the presented methods and tools in their daily work but faced pro- blems such as insufficient experience in the use of R, the lack of com- petent and experienced staff in the use of SDC. Recently SDC training has been offered in the form of direct individual consultations or on-line sessions. The Team for Methods of Statistical Disclosure Control is preparing special guidelines on SDC for NSI em- ployees (Statistics Poland (2023)).

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SDC issues for new employees of official statistics SDC in preparatory service

Preparatory service training for people employed in public administra- tion includes learning about basic mechanisms and rules that govern specific public agencies and consists of two parts: obligatory (divided into basic and extended) and optional Since 2021, the methodological aspects of SDC have been covered as part of topic 3 (principles of organising statistical surveys). The section Confidentiality and utility of output data in official statistics includes:

the legal basis of statistical confidentiality anonymisation and pseudonymisation aims and basic concepts of SDC disclosure, disclosure risk and information loss user as an analyst and user as an intruder the SDC process, its components and stages SDC for microdata, tabular data and statistical outputs.

The effectiveness of the training is evaluated by means of a quiz to check if the knowledge has been properly acquired.

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Education of potential data users and other stakeholders A monograph aimed at popularizing SDC

The knowledge of SDC needs to be broadly disseminated not only among NSI staff but also among various data holders responsible for the pro- tection of data confidentiality, users conducting analyses based on sta- tistical data as well as people who collect any kind of sensitive data as part of their own research. In an effort to make such knowledge easily accessible, a group of NSI employees from the Statistical Office in Poznań have prepared a hand- book (Młodak et al., 2023). The monograph is an attempt to provide a comprehensive description of all aspects of SDC, including the goal and definition of statistical disclosure control, its formal and legal principles and types of released data (including metadata, paradata and other data). The disclosure process, types of data users, typologies of statistical outputs with respect to the protection of sensitive information and the trade-off between disclosure risk and data utility are explained.

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Education of potential data users and other stakeholders A monograph aimed at popularizing SDC

Themonograph describes SDCmethods formicrodata, tabular data and output checking, presenting characteristics of each type of data, their sources and fundamental principles of their protection, mathematical methods and IT tools used for this purpose as well as organisational and technological aspects of releasing statistical data, which are asso- ciated with the risk of unit re-identification or disclosure of attribute. The main purpose of SDC is to achieve an optimal trade-off between minimisation of disclosure risk and information loss. Therefore, the au- thors of the monograph pay a lot of attention to the problems of me- asuring these quantities (in the case of disclosure risk – in the context of internal and external risk) Themonograph provides numerous examples showing how to construct such measures and how to interpret them; the examples demonstrate the usefulness of various measures for different use cases of released data, including measures of estimation precision.

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Education of potential data users and other stakeholders A monograph aimed at popularizing SDC

Fig. 1: The monograph’s cover page (in Polish) & the first page of the summary (in English)

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Education of potential data users and other stakeholders Support for students

It is worth noting that many students, when writing their theses (BSc., MSc., PhD) or other studies not only rely on available data from various sources but conduct their own polls, experiments or other surveys. Data collected in these polls may also contain sensitive information, which should be properly protected. Graduates can also use data provided by official statistics or other cu- stodians as part of their work. Poznań University of Economics and Business (PUEB) has included a special course about statistical disclosure control in the curriculum (to start in 2024/2025). Its aims are:

to familiarise students with key issues and concepts connected with the protection of data confidentiality to present methods and techniques that help to maintain confidentiality of released data to teach them how to use dedicated software when working with sensitive information.

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Education of potential data users and other stakeholders Support for students

The detailed syllabus of the course includes the following topics: protection of data confidentiality – aims and basic principles definition of basic concepts typology of output data legal solutions and formal or ethical principles used in international practice regarding the protection of data confidentiality measurement and assessment of the risk of disclosure of confidential information depending on the type of output data non-perturbative and perturbative methods and techniques in SDC information loss and its measurement an overview of selected software used in the SDC process.

This lecture/course is conducted by experts in the field. The training coverage may expand in the future. Diploma thesis supervisors should pay special attention to the quality of data obtained by students and how it is affected by SDC and instil in them the need to protect sensitive information included in the data.

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Concluding remarks Concluding remarks

One of key tasks of modern statistics is to educate as many people as possible about the aims, rules and variety of SDC methods. Initiatives and ideas presented so far have already been implemented and can potentially reach many people. One can also think of other ways of promoting SDC among various data holders, such as handbooks and guidelines disseminated among em- ployees, organising internal trainings and lectures, providing assistance or consultations, if necessary. Currently, activities in this regard (apart from the SDC User Group within the Centre of Excellence) are still far from sufficient. Students’ education in SDC is very important. However, pupils in secon- dary schools also learn fundamentals of statistics and conduct simple data analyses and hence they should also become basically familiar with it. One way in which this can be achieved is by organising compe- titions, such as the European Statistics Competition or national compe- titions in statistics held in various countries (e.g. the annual Statistical Olympiad held in Poland since 2016). It would be good if such compe- titions included problems related to data protection and SDC.

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References References

Młodak, A., Pietrzak, M., Klimanek, T., Józefowski, T. & Lańduch, P. (2023), Confi- dentiality vs. utility of statistical information. Dilemmas of statistical disclosure control, Poznań University of Economics and Business Press, Poznań, Poland (in Polish). Statistics Poland (2023), Guide for official statistics service units on the control of statistical data disclosure control, Collective study of the Team for Methods of Statistical Disclosure Control, Warsaw (under preparation).

Thank you very much for your attention!

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  • Training of experts
  • SDC issues for new employees of official statistics
  • Education of potential data users and other stakeholders
  • Concluding remarks
  • References

Market Forecast Tables 2022

These tables show forest products production and trade forecasts for 2022 and 2023. 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 2022 and 2023
Table 15 - North America: Summary table of market forecasts for 2022 and 2023
Source: UNECE Committee on Forests and the Forest Industry , November 2022, 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.
Data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subregion. No sub-regional forecast is provided for "Eastern Europe, Caucasus and Central Asia" due to lack of information provided by countries in this sub-region.
Germany – Pellets consumption is an estimated consumption as reported by Pellet Federation. There is a difference between reported consumption and apparent consumption of 242,000 metric tonnes and 214,000 metric tonnes, respectively. For 2022 and 2023, this difference is additionally stored at newly installed plants, i.e. sold but not yet consumed.
Slovenia trade figures are lower than actual as they do not include estimates for non-recorded trade with other EU countries.
Polish trade data exclude non-reporters (estimated at 1-3% of total). Residues exclude recovered wood. Polish sawnwood data exclude shop lumber. Wood pulp production is in metric tonnes, not air-dried, and excludes recovered fibre pulp. Wood pellets production data includes briquettes and non-wood based material.
United Kingdom production figures for OSB is secretariat estimate.
Softwood = coniferous, hardwood = non-coniferous
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.
Countries with nil, missing or confidential data for all years on a table are not shown.

Table 1

5.C
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 6,547 6,469 6,400 10,582 10,370 10,300 1,911 2,045 2,000 5,947 5,947 5,900 Autriche
Bulgaria Bulgaria 528 ... ... 638 ... ... 25 ... ... 135 ... ... Bulgarie
Cyprus Cyprus 32 33 32 2 1 1 31 32 31 0 0 0 Chypre
Czech Republic Czech Republic 3,250 3,249 3,272 5,015 5,144 5,279 526 555 560 2,291 2,450 2,567 République tchèque
Estonia Estonia 2,296 1,910 1,910 1,600 1,600 1,600 1,699 1,360 1,360 1,003 1,050 1,050 Estonie
Finland Finland 3,731 3,650 3,570 11,900 11,750 12,200 547 350 70 8,716 8,450 8,700 Finlande
Germany Germany 20,104 19,800 19,500 25,313 25,300 25,000 5,700 5,000 4,500 10,909 10,500 10,000 Allemagne
Latvia Latvia 1,968 1,500 1,300 3,641 3,500 3,300 1,463 900 700 3,136 2,900 2,700 Lettonie
Luxembourg Luxembourg 56 43 43 39 39 39 28 5 5 12 1 1 Luxembourg
Malta Malta 7 8 9 0 0 0 7 8 9 0 0 0 Malte
Netherlands Netherlands 3,036 2,905 2,850 110 100 100 3,408 3,276 3,226 481 470 475 Pays-Bas
Poland Poland 4,857 4,750 4,900 4,583 4,500 4,650 1,239 1,250 1,300 965 1,000 1,050 Pologne
Portugal Portugal 632 730 665 817 850 840 121 130 125 306 250 300 Portugal
Serbia Serbia 379 400 422 99 110 120 295 300 310 15 10 8 Serbie
Slovakia Slovakia 563 650 675 1,302 1,300 1,325 324 350 350 1,063 1,000 1,000 Slovaquie
Slovenia Slovenia 627 600 550 904 1,000 970 563 500 500 840 900 920 Slovénie
Sweden Sweden 6,954 6,450 5,300 19,000 18,500 17,500 514 450 300 12,560 12,500 12,500 Suède
Switzerland Switzerland 1,245 1,275 1,315 1,150 1,180 1,220 280 275 270 185 180 175 Suisse
UK United Kingdom 10,960 8,920 9,410 3,574 3,010 3,400 7,623 6,150 6,250 237 240 240 Royaume-Uni
Total Europe 67,771 63,342 62,124 90,268 88,255 87,844 26,303 22,936 21,866 48,800 47,848 47,586 Total Europe
Canada Canada a 19,841 18,893 24,156 55,842 52,183 50,290 1,030 752 745 37,031 34,041 26,878 Canada a
United States United States a 88,263 88,484 89,272 63,417 64,178 64,820 26,931 26,270 26,533 2,085 1,963 2,081 Etats-Unis a
Total North America 108,104 107,378 113,428 119,259 116,361 115,109 27,961 27,021 27,277 39,116 36,005 28,959 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

Table 2

5.NC
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 186 215 220 182 178 170 177 210 220 173 173 170 Autriche
Bulgaria Bulgaria 71 ... ... 79 ... ... 22 ... ... 30 ... ... Bulgarie
Cyprus Cyprus 6 7 6 0 0 0 6 7 6 0 0 0 Chypre
Czech Republic Czech Republic 416 427 430 145 147 151 338 340 344 67 60 65 République tchèque
Estonia Estonia 230 150 150 150 100 100 177 140 140 97 90 90 Estonie
Finland Finland 64 55 55 54 50 50 30 25 25 20 20 20 Finlande
Germany Germany 786 760 700 1,061 1,060 1,000 459 400 400 735 700 700 Allemagne
Latvia Latvia 234 160 150 797 850 750 75 60 50 638 750 650 Lettonie
Luxembourg Luxembourg 38 51 51 39 39 39 18 12 12 19 0 0 Luxembourg
Malta Malta 7 7 8 0 0 0 7 7 8 0 0 0 Malte
Netherlands Netherlands 309 301 283 38 40 40 343 331 308 72 70 65 Pays-Bas
Poland Poland 512 500 540 486 460 510 312 350 380 286 310 350 Pologne
Portugal Portugal 224 220 225 148 160 150 106 90 100 31 30 25 Portugal
Serbia Serbia 185 197 200 353 382 390 103 95 100 271 280 290 Serbie
Slovakia Slovakia 225 325 350 350 375 400 52 100 100 177 150 150 Slovaquie
Slovenia Slovenia 121 55 80 140 125 130 99 100 100 118 170 150 Slovénie
Sweden Sweden 111 110 110 100 100 100 50 45 45 39 35 35 Suède
Switzerland Switzerland 80 85 90 55 60 65 40 40 40 15 15 15 Suisse
UK United Kingdom 534 540 540 37 40 40 536 540 540 39 40 40 Royaume-Uni
Total Europe 4,338 4,166 4,188 4,215 4,166 4,085 2,950 2,892 2,918 2,826 2,893 2,815 Total Europe
Canada Canada 1,208 1,229 1,116 880 813 714 798 894 779 470 478 377 Canada
United States United States 14,348 15,065 14,707 17,326 17,607 17,467 717 1,040 878 3,695 3,581 3,638 Etats-Unis
Total North America 15,556 16,295 15,823 18,206 18,420 18,181 1,514 1,934 1,658 4,165 4,059 4,015 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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 182 211 216 182 178 170 172 205 215 172 172 169 Autriche
Bulgaria Bulgaria 70 ... ... 79 ... ... 21 ... ... 30 ... ... Bulgarie
Cyprus Cyprus 4 3 2 0 0 0 4 3 2 0 0 0 Chypre
Czech Republic Czech Republic 409 421 424 145 147 151 329 331 335 65 57 62 République tchèque
Estonia Estonia 227 149 149 150 100 100 172 136 136 94 87 87 Estonie
Finland Finland 63 54 54 54 50 50 25 20 20 16 16 16 Finlande
Germany Germany 747 718 658 1,059 1,058 998 385 325 325 698 665 665 Allemagne
Luxembourg Luxembourg 27 49 49 39 39 39 6 10 10 19 0 0 Luxembourg
Malta Malta 6 6 7 0 0 0 6 6 7 0 0 0 Malte
Netherlands Netherlands 166 160 142 31 32 32 184 177 154 49 49 45 Pays-Bas
Poland Poland 498 485 524 486 459 509 295 333 362 283 307 347 Pologne
Portugal Portugal 222 190 197 136 150 137 74 50 70 -12 10 10 Portugal
Serbia Serbia 184 196 199 352 381 389 103 95 100 271 280 290 Serbie
Slovenia Slovenia 119 52 77 140 125 130 96 97 97 118 170 150 Slovénie
Sweden Sweden 111 109 109 100 100 100 49 44 44 37 35 35 Suède
Switzerland Switzerland 71 76 81 52 57 62 34 34 34 15 15 15 Suisse
UK United Kingdom 458 460 460 37 40 40 456 460 460 36 40 40 Royaume-Uni
Total Europe 3,563 3,340 3,349 3,042 2,917 2,908 2,411 2,326 2,372 1,890 1,903 1,931 Total Europe
Canada Canada 1,202 1,214 1,107 880 813 714 781 865 753 459 464 360 Canada
United States United States 14,162 14,835 14,498 17,326 17,607 17,467 491 773 632 3,656 3,545 3,600 Etats-Unis
Total North America 15,364 16,049 15,605 18,206 18,420 18,181 1,272 1,638 1,385 4,115 4,009 3,960 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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 4 4 4 0 0 0 5 5 5 1 1 1 Autriche
Bulgaria Bulgaria 1 ... ... 0 ... ... 1 ... ... 0 ... ... Bulgarie
Cyprus Cyprus 2 4 4 0 0 0 2 4 4 0 0 0 Chypre
Czech Republic Czech Republic 7 6 6 0 0 0 9 9 9 2 3 3 République tchèque
Estonia Estonia 3 1 1 0 0 0 5 4 4 2 3 3 Estonie
Finland Finland 1 1 1 0 0 0 5 5 5 4 4 4 Finlande
Germany Germany 39 42 42 2 2 2 74 75 75 37 35 35 Allemagne
Luxembourg Luxembourg 12 2 2 0 0 0 12 2 2 0 0 0 Luxembourg
Malta Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte
Netherlands Netherlands 143 141 141 8 8 8 159 154 153 23 21 20 Pays-Bas
Poland Poland 14 15 16 0 1 1 17 17 18 3 3 3 Pologne
Portugal Portugal 2 30 28 12 10 13 32 40 30 43 20 15 Portugal
Serbia Serbia 1 1 1 1 1 1 0 0 0 0 0 0 Serbie
Slovenia Slovenia 2 3 3 0 0 0 3 3 3 0 0 0 Slovénie
Sweden Sweden -0 1 1 0 0 0 1 1 1 1 0 0 Suède
Switzerland Switzerland 9 9 9 3 3 3 6 6 6 0 0 0 Suisse
UK United Kingdom 76 80 80 0 0 0 79 80 80 3 0 0 Royaume-Uni
Total Europe 316 341 339 26 25 28 412 406 396 122 90 84 Total Europe
Canada Canada 6 16 9 0 0 0 16 29 26 11 14 17 Canada
United States United States 186 230 208 0 0 0 226 267 246 39 36 38 Etats-Unis
Total North America 192 246 217 0 0 0 242 296 273 50 50 55 Total Amérique du Nord

Table 3

6.1x
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 59 56 56 8 7 7 70 65 65 18 16 16 Autriche
Bulgaria Bulgaria 31 ... ... 18 ... ... 24 ... ... 10 ... ... Bulgarie
Cyprus Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre
Czech Republic Czech Republic 11 20 21 30 32 33 41 50 54 60 62 66 République tchèque
Estonia Estonia 103 140 140 110 140 140 85 86 90 92 86 90 Estonie
Finland Finland 8 8 7 170 184 178 9 9 9 171 185 180 Finlande
Germany Germany 167 165 160 116 115 110 111 110 110 59 60 60 Allemagne
Latvia Latvia 155 85 55 42 45 45 154 110 50 41 70 40 Lettonie
Luxembourg Luxembourg 1 0 0 0 0 0 1 0 0 0 0 0 Luxembourg
Malta Malta 1 1 2 0 0 0 1 1 2 0 0 0 Malte
Netherlands Netherlands 34 34 34 0 0 0 41 41 41 7 7 7 Pays-Bas
Poland Poland 146 145 150 46 42 44 121 125 130 21 22 24 Pologne
Portugal Portugal -71 12 3 21 22 23 37 30 30 130 40 50 Portugal
Serbia Serbia 19 18 23 27 22 25 13 14 15 21 18 17 Serbie
Slovakia Slovakia 16 25 25 29 30 30 21 20 20 34 25 25 Slovaquie
Slovenia Slovenia 8 4 5 23 24 21 14 14 14 29 34 30 Slovénie
Sweden Sweden 30 25 20 60 55 50 17 20 15 47 50 45 Suède
Switzerland Switzerland 3 3 3 0 0 0 4 4 4 1 1 1 Suisse
UK United Kingdom 14 10 10 0 0 0 14 10 10 0 0 0 Royaume-Uni
Total Europe 737 752 715 700 718 706 779 710 660 742 676 651 Total Europe
Canada Canada 144 181 173 581 565 565 183 222 230 620 607 622 Canada
United States United States 2,675 2,784 2,730 2,284 2,284 2,284 671 759 715 281 258 269 Etats-Unis
Total North America 2,819 2,965 2,903 2,866 2,849 2,849 854 981 945 901 865 891 Total Amérique du Nord
Note: Definition of veneers now includes all production (including converted directly to plywood). However most replies here continue to exclude the part going to plywood.
La définition des placages comprend maintenant toute la production (y compris la conversion directe en contreplaqué).
Cependant, la plupart des réponses continuent d'exclure la partie destinée au contreplaqué.

Table 4

6.2x
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 94 85 80 184 180 170 267 205 200 357 300 290 Autriche
Bulgaria Bulgaria 65 ... ... 37 ... ... 66 ... ... 38 ... ... Bulgarie
Cyprus Cyprus 13 15 14 0 0 0 13 15 14 0 0 0 Chypre
Czech Republic Czech Republic 201 199 201 260 262 263 186 188 187 245 251 249 République tchèque
Estonia Estonia 102 100 100 190 180 180 118 110 110 206 190 190 Estonie
Finland Finland 296 280 285 1,130 1,120 1,120 121 110 100 955 950 935 Finlande
Germany Germany 1,185 1,170 1,170 103 100 100 1,464 1,450 1,450 382 380 380 Allemagne
Latvia Latvia 68 30 30 310 300 250 98 60 30 340 330 250 Lettonie
Luxembourg Luxembourg 11 2 2 0 0 0 12 2 2 1 0 0 Luxembourg
Malta Malta 10 11 11 0 0 0 10 11 11 0 0 0 Malte
Netherlands Netherlands 600 580 565 0 0 0 695 670 650 95 90 85 Pays-Bas
Poland Poland 773 770 790 543 540 550 604 620 650 374 390 410 Pologne
Portugal Portugal 215 215 200 126 110 100 116 130 120 27 25 20 Portugal
Serbia Serbia 41 43 48 15 14 17 30 32 34 4 3 3 Serbie
Slovakia Slovakia 232 320 345 307 375 400 65 70 70 140 125 125 Slovaquie
Slovenia Slovenia 79 66 68 102 96 98 57 50 50 80 80 80 Slovénie
Sweden Sweden 260 245 245 101 90 90 206 200 200 47 45 45 Suède
Switzerland Switzerland 209 214 220 7 7 8 205 210 215 3 3 3 Suisse
UK United Kingdom 1,486 1,490 1,490 0 0 0 1,541 1,540 1,540 55 50 50 Royaume-Uni
Total Europe 5,940 5,835 5,864 3,415 3,374 3,346 5,874 5,673 5,633 3,349 3,212 3,115 Total Europe
Canada Canada 2,485 2,288 2,490 1,698 1,644 1,639 1,421 1,144 1,406 634 500 555 Canada
United States United States 17,031 17,295 17,163 9,705 9,895 9,800 8,086 8,163 8,124 759 762 761 Etats-Unis
Total North America 19,516 19,583 19,653 11,403 11,539 11,439 9,507 9,306 9,530 1,393 1,263 1,316 Total Amérique du Nord

Table 5

6.3xPB
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 868 776 766 2,550 2,350 2,300 361 370 360 2,043 1,944 1,894 Autriche
Bulgaria Bulgaria 487 ... ... 773 ... ... 118 ... ... 403 ... ... Bulgarie
Cyprus Cyprus 47 42 41 0 0 0 47 42 41 0 0 0 Chypre
Czech Republic Czech Republic 739 688 671 965 945 930 578 598 577 804 855 836 République tchèque
Estonia Estonia 182 155 155 210 130 130 76 85 85 103 60 60 Estonie
Finland Finland 107 119 119 54 50 50 83 93 93 30 24 24 Finlande
Germany Germany 6,015 5,970 5,870 6,036 6,020 5,920 2,142 2,100 2,050 2,162 2,150 2,100 Allemagne
Latvia Latvia 139 120 180 350 300 300 53 70 80 264 250 200 Lettonie
Luxembourg Luxembourg 15 3 3 0 0 0 16 4 4 2 1 1 Luxembourg
Malta Malta 10 10 11 0 0 0 10 10 11 0 0 0 Malte
Netherlands Netherlands 446 430 430 0 0 0 520 500 500 74 70 70 Pays-Bas
Poland Poland 7,601 7,700 7,740 6,333 6,370 6,370 2,093 2,150 2,220 824 820 850 Pologne
Portugal Portugal 451 527 427 743 730 720 313 295 304 605 498 597 Portugal
Serbia Serbia 420 417 422 272 230 235 208 235 240 60 48 53 Serbie
Slovakia Slovakia 182 220 215 608 625 625 143 140 135 568 545 545 Slovaquie
Slovenia Slovenia 155 155 147 0 0 0 162 163 154 6 8 7 Slovénie
Sweden Sweden 971 985 975 561 550 550 506 520 510 97 85 85 Suède
Switzerland Switzerland 280 300 320 380 390 400 125 130 135 225 220 215 Suisse
UK United Kingdom 2,664 2,242 2,242 2,090 1,722 1,722 638 600 600 65 80 80 Royaume-Uni
Total Europe 21,780 20,859 20,734 21,926 20,412 20,252 8,189 8,105 8,099 8,336 7,658 7,617 Total Europe
Canada Canada 1,487 1,594 1,591 1,647 1,724 1,686 593 594 586 754 724 681 Canada
United States United States 5,111 7,189 5,725 4,136 4,220 3,874 1,462 3,144 2,159 488 175 309 Etats-Unis
Total North America 6,597 8,783 7,316 5,783 5,944 5,560 2,056 3,738 2,745 1,241 899 989 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

6.3.1
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 186 224 214 0 0 0 192 230 220 6 6 6 Autriche
Bulgaria Bulgaria 175 ... ... 252 ... ... 8 ... ... 85 ... ... Bulgarie
Cyprus Cyprus 15 18 17 0 0 0 15 18 17 0 0 0 Chypre
Czech Republic Czech Republic 355 360 366 745 770 795 127 132 135 517 542 564 République tchèque
Estonia Estonia 44 45 45 0 0 0 44 45 45 1 0 0 Estonie
Finland Finland 47 47 47 0 0 0 47 47 47 0 0 0 Finlande
Germany Germany 1,473 1,480 1,480 1,282 1,280 1,280 746 750 750 555 550 550 Allemagne
Latvia Latvia 211 160 100 700 600 600 73 60 50 562 500 550 Lettonie
Luxembourg Luxembourg 117 265 265 338 338 338 7 1 1 229 74 74 Luxembourg
Netherlands Netherlands 192 185 185 0 0 0 208 200 200 16 15 15 Pays-Bas
Poland Poland 802 800 860 827 830 880 316 350 380 341 380 400 Pologne
Portugal Portugal 31 33 33 0 0 0 34 35 36 3 2 3 Portugal
Serbia Serbia 44 53 58 0 0 0 46 55 60 2 2 2 Serbie
Slovakia Slovakia 91 90 95 0 0 0 94 95 100 3 5 5 Slovaquie
Slovenia Slovenia 33 35 34 0 0 0 36 37 36 2 2 2 Slovénie
Sweden Sweden 116 95 95 0 0 0 121 100 100 5 5 5 Suède
Switzerland Switzerland 90 90 90 0 0 0 90 90 90 0 0 0 Suisse
UK United Kingdom 925 868 868 598 598 598 461 440 440 133 170 170 Royaume-Uni
Total Europe 4,948 4,848 4,852 4,741 4,416 4,491 2,665 2,685 2,707 2,459 2,253 2,346 Total Europe
Canada Canada 1,618 1,589 1,570 7,240 7,581 7,646 124 72 72 5,746 6,064 6,147 Canada
United States United States 19,804 20,091 20,381 13,839 14,040 14,243 6,147 6,236 6,326 182 185 188 Etats-Unis
Total North America 21,422 21,680 21,951 21,079 21,621 21,889 6,271 6,308 6,398 5,928 6,249 6,335 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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 504 469 445 690 570 545 370 340 330 556 441 430 Autriche
Bulgaria Bulgaria 106 ... ... 75 ... ... 118 ... ... 87 ... ... Bulgarie
Cyprus Cyprus 15 16 15 0 0 0 15 16 15 0 0 0 Chypre
Czech Republic Czech Republic 462 470 481 45 46 47 574 590 609 157 166 175 République tchèque
Estonia Estonia 74 68 68 80 70 70 77 69 69 83 71 71 Estonie
Finland Finland 162 165 165 46 46 46 164 161 161 48 41 41 Finlande
Germany Germany 4,401 4,425 4,335 6,105 6,100 6,000 1,944 1,940 1,865 3,648 3,615 3,530 Allemagne
Latvia Latvia 19 11 6 37 35 20 69 57 47 87 81 61 Lettonie
Luxembourg Luxembourg 13 128 128 147 147 147 19 5 5 153 24 24 Luxembourg
Malta Malta ... ... ... ... ... ... ... ... ... ... ... ... Malte
Netherlands Netherlands 454 436 436 29 29 29 572 550 550 147 143 143 Pays-Bas
Poland Poland 4,398 4,650 4,770 5,750 5,850 6,050 912 970 990 2,264 2,170 2,270 Pologne
Portugal Portugal 488 510 500 555 550 540 336 335 340 404 375 380 Portugal
Serbia Serbia 123 151 163 21 18 20 143 168 181 41 35 38 Serbie
Slovakia Slovakia 248 239 239 0 0 0 275 265 265 27 26 26 Slovaquie
Slovenia Slovenia 26 30 30 136 135 135 57 55 55 167 160 160 Slovénie
Sweden Sweden 308 317 293 0 0 0 391 395 365 84 78 72 Suède
Switzerland Switzerland 292 302 312 205 210 215 266 266 266 179 174 169 Suisse
UK United Kingdom 1,807 1,780 1,710 798 900 850 1,080 950 930 72 70 70 Royaume-Uni
Total Europe 13,901 14,168 14,097 14,719 14,706 14,714 7,385 7,132 7,043 8,203 7,670 7,660 Total Europe
Canada Canada 1,492 1,348 1,355 1,349 1,395 1,395 1,009 889 885 866 936 924 Canada
United States United States 9,727 10,134 9,985 7,560 7,691 7,663 3,008 3,190 3,123 841 747 801 Etats-Unis
Total North America 11,219 11,482 11,340 8,909 9,086 9,058 4,017 4,079 4,007 1,707 1,683 1,725 Total Amérique du Nord

Table 6a

6.4.1
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 32 36 34 75 48 45 17 20 19 60 32 30 Autriche
Bulgaria Bulgaria 45 ... ... 51 ... ... 40 ... ... 46 ... ... Bulgarie
Cyprus Cyprus 1 1 1 0 0 0 1 1 1 0 0 0 Chypre
Czech Republic Czech Republic 146 146 147 0 0 0 167 168 170 21 22 23 République tchèque
Estonia Estonia 27 24 24 0 0 0 34 30 30 7 6 6 Estonie
Finland Finland 26 30 30 46 46 46 21 20 20 41 36 36 Finlande
Germany Germany 213 210 210 0 0 0 242 240 240 29 30 30 Allemagne
Latvia Latvia 11 10 5 0 0 0 23 20 15 12 10 10 Lettonie
Luxembourg Luxembourg -71 -9 -9 0 0 0 2 1 1 73 10 10 Luxembourg
Netherlands Netherlands 44 35 35 0 0 0 66 55 55 22 20 20 Pays-Bas
Poland Poland -212 10 10 76 100 100 139 180 180 427 270 270 Pologne
Portugal Portugal 44 20 30 12 0 0 42 30 40 10 10 10 Portugal
Serbia Serbia 33 38 41 21 18 20 31 35 37 19 15 16 Serbie
Slovakia Slovakia 17 20 20 0 0 0 22 25 25 5 5 5 Slovaquie
Slovenia Slovenia 1 0 0 0 0 0 8 6 6 7 6 6 Slovénie
Sweden Sweden 75 87 78 0 0 0 88 100 90 14 13 12 Suède
Switzerland Switzerland 13 13 13 0 0 0 21 21 21 8 8 8 Suisse
UK United Kingdom 101 100 100 0 0 0 111 110 110 11 10 10 Royaume-Uni
Total Europe 544 771 769 281 212 211 1,075 1,062 1,060 812 503 502 Total Europe
Canada Canada 46 42 36 90 90 90 68 60 66 112 108 120 Canada
United States United States 503 509 514 499 504 509 252 255 258 248 250 253 Etats-Unis
Total North America 549 551 550 589 594 599 320 315 324 360 358 373 Total Amérique du Nord

Table 6b

6.4.2
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 316 283 265 615 522 500 192 166 161 491 405 396 Autriche
Bulgaria Bulgaria 58 ... ... 24 ... ... 75 ... ... 41 ... ... Bulgarie
Cyprus Cyprus 13 13 12 0 0 0 13 13 12 0 0 0 Chypre
Czech Republic Czech Republic 248 249 251 45 46 47 243 250 258 40 47 54 République tchèque
Estonia Estonia 21 20 20 0 0 0 38 35 35 17 15 15 Estonie
Finland Finland 117 116 116 0 0 0 124 121 121 7 5 5 Finlande
Germany Germany 2,385 2,425 2,400 4,693 4,700 4,650 625 625 600 2,932 2,900 2,850 Allemagne
Latvia Latvia 1 0 0 37 35 20 28 25 20 64 60 40 Lettonie
Luxembourg Luxembourg 80 136 136 147 147 147 13 3 3 80 14 14 Luxembourg
Malta Malta 5 5 5 0 0 0 5 5 5 0 0 0 Malte
Netherlands Netherlands 291 285 285 0 0 0 408 400 400 117 115 115 Pays-Bas
Poland Poland 3,533 3,560 3,630 3,542 3,600 3,700 743 760 780 752 800 850 Pologne
Portugal Portugal 456 485 465 535 550 540 280 285 280 359 350 355 Portugal
Serbia Serbia 88 110 118 0 0 0 110 130 140 22 20 22 Serbie
Slovakia Slovakia 162 150 150 0 0 0 183 170 170 22 20 20 Slovaquie
Slovenia Slovenia 20 29 29 136 135 135 39 43 43 155 149 149 Slovénie
Sweden Sweden 213 210 200 0 0 0 272 265 250 59 55 50 Suède
Switzerland Switzerland 105 110 115 205 210 215 70 65 60 170 165 160 Suisse
UK United Kingdom 1,622 1,600 1,530 798 900 850 878 750 730 54 50 50 Royaume-Uni
Total Europe 9,734 9,786 9,727 10,776 10,845 10,804 4,341 4,111 4,068 5,383 5,170 5,145 Total Europe
Canada Canada 1,301 1,135 1,153 1,159 1,205 1,205 780 648 639 637 718 691 Canada
United States United States 6,012 6,042 6,073 3,882 3,901 3,921 2,552 2,565 2,578 422 424 426 Etats-Unis
Total North America 7,313 7,177 7,226 5,041 5,106 5,126 3,332 3,213 3,217 1,059 1,142 1,117 Total Amérique du Nord

Table 6c

6.4.3
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 157 150 146 0 0 0 162 154 150 5 4 4 Autriche
Bulgaria Bulgaria 3 ... ... 0 ... ... 3 ... ... 0 ... ... Bulgarie
Cyprus Cyprus 1 2 2 0 0 0 1 2 2 0 0 0 Chypre
Czech Republic Czech Republic 68 75 83 0 0 0 164 172 181 96 97 98 République tchèque
Estonia Estonia 26 24 24 80 70 70 5 4 4 59 50 50 Estonie
Finland Finland 19 19 19 0 0 0 20 20 20 0 0 0 Finlande
Germany Germany 1,803 1,790 1,725 1,412 1,400 1,350 1,078 1,075 1,025 686 685 650 Allemagne
Latvia Latvia 7 1 1 0 0 0 18 12 12 11 11 11 Lettonie
Luxembourg Luxembourg 4 1 1 0 0 0 4 1 1 0 0 0 Luxembourg
Malta Malta 1 1 2 0 0 0 1 1 2 0 0 0 Malte
Netherlands Netherlands 119 116 116 29 29 29 98 95 95 8 8 8 Pays-Bas
Poland Poland 1,077 1,080 1,130 2,132 2,150 2,250 30 30 30 1,085 1,100 1,150 Pologne
Portugal Portugal -12 5 5 8 0 0 15 20 20 35 15 15 Portugal
Serbia Serbia 2 3 4 0 0 0 2 3 4 0 0 0 Serbie
Slovakia Slovakia 70 69 69 0 0 0 70 70 70 0 1 1 Slovaquie
Slovenia Slovenia 5 1 1 0 0 0 10 6 6 5 5 5 Slovénie
Sweden Sweden 20 20 15 0 0 0 31 30 25 11 10 10 Suède
Switzerland Switzerland 174 179 184 0 0 0 175 180 185 1 1 1 Suisse
UK United Kingdom 84 80 80 0 0 0 91 90 90 7 10 10 Royaume-Uni
Total Europe 3,628 3,616 3,607 3,661 3,649 3,699 1,976 1,965 1,922 2,009 1,997 2,013 Total Europe
Canada Canada 144 171 166 100 100 100 162 181 180 117 110 114 Canada
United States United States 3,212 3,583 3,398 3,179 3,286 3,233 204 370 287 171 73 122 Etats-Unis
Total North America 3,357 3,754 3,564 3,279 3,386 3,333 366 551 467 288 183 236 Total Amérique du Nord

Table 7

7.x
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 2,261 2,229 2,235 2,004 1,970 1,980 578 577 577 321 318 322 Autriche
Bulgaria Bulgaria 125 ... ... 210 ... ... 7 ... ... 92 ... ... Bulgarie
Czech Republic Czech Republic 803 806 806 614 640 660 310 300 289 121 134 143 République tchèque
Estonia Estonia 84 140 140 260 200 200 49 50 50 225 110 110 Estonie
Finland Finland a 6,625 5,760 6,280 10,950 9,360 10,520 150 220 220 4,475 3,820 4,460 Finlande a
Germany Germany 5,622 5,685 5,715 2,327 2,390 2,420 4,451 4,400 4,400 1,156 1,105 1,105 Allemagne
Latvia Latvia 2 6 2 14 10 10 2 2 2 14 6 10 Lettonie
Netherlands Netherlands 929 987 987 37 37 37 2,167 2,150 2,150 1,274 1,200 1,200 Pays-Bas
Poland Poland 2,767 2,750 2,790 1,749 1,720 1,750 1,194 1,220 1,250 177 190 210 Pologne
Portugal Portugal 1,660 1,640 1,645 2,809 2,750 2,800 141 140 145 1,290 1,250 1,300 Portugal
Serbia Serbia 75 76 79 0 0 0 76 77 80 1 1 1 Serbie
Slovakia Slovakia 680 685 695 769 775 800 160 160 170 248 250 275 Slovaquie
Slovenia Slovenia 331 309 309 86 82 82 250 230 230 5 3 3 Slovénie
Sweden Sweden 8,146 8,250 8,400 11,701 11,950 12,150 602 600 600 4,157 4,300 4,350 Suède
Switzerland Switzerland 160 160 160 70 70 70 90 90 90 0 0 0 Suisse
UK United Kingdom 984 990 ... 220 220 ... 766 780 790 2 10 10 Royaume-Uni
Total Europe 31,255 30,473 30,243 33,820 32,174 33,479 10,993 10,996 11,043 13,558 12,697 13,499 Total Europe
Canada Canada 7,265 6,097 6,156 14,886 13,861 13,468 1,095 950 1,185 8,717 8,714 8,497 Canada
United States United States 48,100 48,274 48,187 49,685 49,859 49,772 6,036 6,036 6,036 7,621 7,621 7,621 Etats-Unis
Total North America 55,365 54,372 54,344 64,571 63,720 63,240 7,131 6,986 7,221 16,337 16,335 16,118 Total Amérique du Nord
a imports exclude dissolving pulp a les importations excluent pâte à dissoudre

Table 8

10.x
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 2,334 2,340 2,315 5,065 5,100 5,080 1,296 1,310 1,300 4,028 4,070 4,065 Autriche
Bulgaria Bulgaria 573 ... ... 394 ... ... 358 ... ... 180 ... ... Bulgarie
Cyprus Cyprus 44 48 46 0 0 0 44 48 46 0 0 0 Chypre
Czech Republic Czech Republic 1,618 1,602 1,604 901 906 909 1,623 1,604 1,600 906 908 905 République tchèque
Estonia Estonia 126 150 150 70 90 90 138 130 130 83 70 70 Estonie
Finland Finland 636 590 620 8,660 7,450 8,150 361 350 350 8,385 7,210 7,880 Finlande
Germany Germany 18,980 18,500 18,400 23,123 22,800 22,700 10,009 9,800 9,800 14,152 14,100 14,100 Allemagne
Latvia Latvia 174 182 182 28 30 30 186 200 200 40 48 48 Lettonie
Luxembourg Luxembourg 31 8 8 0 0 0 38 8 8 7 0 0 Luxembourg
Malta Malta 26 27 27 0 0 0 26 27 27 0 0 0 Malte
Netherlands Netherlands 2,869 2,890 2,890 2,942 2,950 2,950 2,268 2,260 2,260 2,341 2,320 2,320 Pays-Bas
Poland Poland 8,002 8,100 8,150 5,324 5,450 5,550 5,233 5,300 5,400 2,556 2,650 2,800 Pologne
Portugal Portugal 1,245 1,250 1,290 2,247 2,200 2,240 928 850 900 1,931 1,800 1,850 Portugal
Serbia Serbia 760 780 785 535 520 525 462 470 480 237 210 220 Serbie
Slovakia Slovakia 554 600 600 1,019 975 1,000 474 450 475 939 825 875 Slovaquie
Slovenia Slovenia 491 435 440 635 605 590 435 420 420 579 590 570 Slovénie
Sweden Sweden 704 950 950 8,924 8,700 8,850 897 750 750 9,117 8,500 8,650 Suède
Switzerland Switzerland 1,050 1,055 1,060 1,170 1,175 1,180 610 600 590 730 720 710 Suisse
UK United Kingdom 7,482 7,430 7,450 3,640 3,530 3,650 4,589 4,660 4,550 747 760 750 Royaume-Uni
Total Europe 47,697 46,937 46,967 64,677 62,481 63,494 29,977 29,237 29,286 46,957 44,781 45,813 Total Europe
Canada Canada 4,940 4,796 4,930 8,787 8,436 8,436 2,424 2,567 2,538 6,272 6,207 6,045 Canada
United States United States 65,622 68,268 66,945 67,476 70,196 68,836 8,223 8,555 8,389 10,077 10,483 10,280 Etats-Unis
Total North America 70,561 73,064 71,874 76,263 78,632 77,272 10,647 11,122 10,927 16,348 16,690 16,325 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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 13,521 13,873 13,650 10,420 10,607 10,300 3,101 3,266 3,350 0 0 0 4,900 5,263 5,400 18,420 19,136 19,050 Autriche
Bulgaria Bulgaria 3,172 ... ... 1,524 ... ... 1,606 ... ... 42 ... ... 2,357 ... ... 5,529 ... ... Bulgarie
Cyprus Cyprus ... ... ... ... ... ... ... ... ... 0 0 0 7 7 8 ... ... ... Chypre
Czech Republic Czech Republic 25,146 21,122 20,576 17,739 15,858 14,572 7,294 5,149 5,887 113 115 117 5,110 4,933 4,536 30,256 26,055 25,112 République tchèque
Estonia Estonia 6,520 6,317 6,317 4,145 4,060 4,060 2,323 2,200 2,200 52 57 57 4,148 4,100 4,100 10,667 10,417 10,417 Estonie
Finland Finland 58,036 55,847 58,540 26,292 24,618 24,713 31,744 31,229 33,827 0 0 0 8,868 8,868 8,868 66,904 64,715 67,408 Finlande
Germany Germany 59,187 57,179 54,270 47,403 44,256 42,085 11,624 12,765 12,027 161 158 158 23,224 23,900 24,100 82,411 81,079 78,370 Allemagne
Latvia Latvia 13,003 12,650 12,550 7,827 7,400 7,300 3,986 4,100 4,100 1,190 1,150 1,150 2,940 3,150 3,200 15,943 15,800 15,750 Lettonie
Luxembourg Luxembourg 217 332 197 39 86 144 84 160 38 94 86 15 46 73 45 262 405 242 Luxembourg
Netherlands Netherlands 648 653 653 210 214 214 394 395 395 43 44 44 2,362 2,350 2,350 3,010 3,003 3,003 Pays-Bas
Poland Poland 38,587 40,300 41,530 18,508 19,300 19,950 19,471 20,410 21,000 608 590 580 4,519 4,450 4,350 43,106 44,750 45,880 Pologne
Portugal Portugal 12,136 12,240 12,155 2,147 2,190 2,220 9,659 9,700 9,600 331 350 335 1,762 1,830 1,780 13,899 14,070 13,935 Portugal
Serbia Serbia 1,646 1,586 1,630 1,176 1,166 1,185 307 280 295 163 140 150 6,251 6,950 7,010 7,897 8,536 8,640 Serbie
Slovakia Slovakia 7,170 7,475 7,590 4,243 4,335 4,400 2,893 3,100 3,150 34 40 40 495 550 610 7,665 8,025 8,200 Slovaquie
Slovenia Slovenia 2,673 3,078 2,995 1,977 2,210 2,130 648 825 825 48 43 40 1,043 1,200 1,260 3,716 4,278 4,255 Slovénie
Sweden Sweden 71,400 71,400 70,400 39,300 37,800 36,000 31,800 33,300 34,100 300 300 300 5,400 5,400 5,400 76,800 76,800 75,800 Suède
Switzerland Switzerland 3,003 3,088 3,163 2,450 2,550 2,610 550 535 550 3 3 3 1,980 2,030 2,100 4,983 5,118 5,263 Suisse
UK United Kingdom 8,716 7,660 8,410 6,354 5,360 6,060 1,898 1,900 1,900 463 400 450 2,184 2,180 2,180 10,899 9,840 10,590 Royaume-Uni
Total Europe 324,781 314,800 314,626 191,753 182,010 177,943 129,382 129,314 133,244 3,646 3,476 3,439 77,596 77,234 77,297 402,369 392,027 391,915 Total Europe
Canada Canada 138,131 135,303 135,303 120,741 117,995 117,995 15,239 15,040 15,040 2,152 2,268 2,268 1,472 1,567 1,567 139,603 136,869 136,869 Canada
United States United States 382,956 386,045 384,500 183,473 184,966 184,219 185,734 187,318 186,526 13,749 13,762 13,755 71,111 71,127 71,119 454,066 457,172 455,619 Etats-Unis
Total North America 521,087 521,348 519,803 304,213 302,961 302,214 200,973 202,358 201,566 15,901 16,030 16,023 72,582 72,693 72,685 593,669 594,041 592,488 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

1.2.3.C
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 12,671 12,947 12,700 10,139 10,315 10,000 2,531 2,632 2,700 0 0 0 2,993 3,158 3,200 15,663 16,105 15,900 Autriche
Bulgaria Bulgaria 2,228 ... ... 1,178 ... ... 1,019 ... ... 31 ... ... 608 ... ... 2,836 ... ... Bulgarie
Cyprus Cyprus ... ... ... 2 2 2 ... ... ... 0 0 0 6 6 7 ... ... ... Chypre
Czech Republic Czech Republic 24,251 20,470 19,943 17,301 15,480 14,210 6,841 4,880 5,621 109 110 112 4,463 4,365 3,965 28,714 24,835 23,908 République tchèque
Estonia Estonia 4,447 4,330 4,330 3,268 3,200 3,200 1,152 1,100 1,100 27 30 30 1,431 1,400 1,400 5,878 5,730 5,730 Estonie
Finland Finland 48,840 46,602 48,616 25,247 23,457 23,590 23,593 23,145 25,026 0 0 0 4,279 4,279 4,279 53,119 50,881 52,895 Finlande
Germany Germany 55,270 53,354 50,415 44,611 41,447 39,283 10,505 11,757 10,982 153 150 150 9,265 9,600 9,800 64,534 62,954 60,215 Allemagne
Latvia Latvia 8,661 8,350 8,250 5,975 5,600 5,500 2,036 2,100 2,100 650 650 650 315 350 400 8,976 8,700 8,650 Lettonie
Luxembourg Luxembourg 156 169 143 27 51 122 35 32 6 94 86 15 24 30 11 180 199 154 Luxembourg
Netherlands Netherlands 452 449 449 154 154 154 263 260 260 35 35 35 451 450 450 903 899 899 Pays-Bas
Poland Poland 31,131 32,500 33,350 15,698 16,370 16,900 14,861 15,570 15,900 572 560 550 2,189 2,150 2,100 33,320 34,650 35,450 Pologne
Portugal Portugal 3,352 3,440 3,455 1,851 1,900 1,970 1,370 1,400 1,350 131 140 135 445 480 450 3,797 3,920 3,905 Portugal
Serbia Serbia 319 315 335 202 210 220 76 70 75 41 35 40 129 150 160 448 465 495 Serbie
Slovakia Slovakia 3,678 3,815 3,830 2,724 2,735 2,750 928 1,050 1,050 26 30 30 223 250 285 3,901 4,065 4,115 Slovaquie
Slovenia Slovenia 1,790 1,978 1,888 1,510 1,680 1,600 262 285 275 18 13 13 106 150 160 1,896 2,128 2,048 Slovénie
Sweden Sweden 64,850 64,650 63,450 39,100 37,600 35,800 25,600 26,900 27,500 150 150 150 2,700 2,700 2,700 67,550 67,350 66,150 Suède
Switzerland Switzerland 2,602 2,652 2,712 2,224 2,300 2,350 376 350 360 2 2 2 834 880 900 3,436 3,532 3,612 Suisse
UK United Kingdom 8,608 7,550 8,300 6,298 5,300 6,000 1,895 1,900 1,900 415 350 400 1,571 1,570 1,570 10,179 9,120 9,870 Royaume-Uni
Total Europe 273,305 263,571 262,166 177,509 167,801 163,651 93,345 93,431 96,205 2,454 2,341 2,312 32,032 31,968 31,837 305,330 295,533 293,995 Total Europe
Canada Canada 113,236 110,975 110,975 108,690 106,633 106,633 4,232 3,975 3,975 314 367 367 659 724 724 113,895 111,700 111,700 Canada
United States United States 306,264 307,884 307,074 150,702 151,554 151,128 143,462 144,219 143,840 12,100 12,111 12,106 33,760 33,770 33,765 340,023 341,654 340,839 Etats-Unis
Total North America 419,499 418,859 418,049 259,392 258,187 257,761 147,694 148,194 147,816 12,414 12,478 12,472 34,419 34,495 34,489 453,918 453,354 452,538 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

1.2.3.NC
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 850 926 950 280 292 300 570 634 650 0 0 0 1,907 2,105 2,200 2,757 3,031 3,150 Autriche
Bulgaria Bulgaria 944 ... ... 346 ... ... 587 ... ... 11 ... ... 1,749 ... ... 2,693 ... ... Bulgarie
Cyprus Cyprus ... ... ... ... ... ... ... ... ... 0 0 0 1 1 1 ... ... ... Chypre
Czech Republic Czech Republic 895 652 633 438 378 362 453 269 266 4 5 5 647 568 571 1,542 1,220 1,204 République tchèque
Estonia Estonia 2,073 1,987 1,987 877 860 860 1,171 1,100 1,100 25 27 27 2,717 2,700 2,700 4,789 4,687 4,687 Estonie
Finland Finland 9,196 9,245 9,924 1,045 1,161 1,123 8,151 8,084 8,801 0 0 0 4,589 4,589 4,589 13,785 13,834 14,513 Finlande
Germany Germany 3,918 3,824 3,855 2,792 2,809 2,802 1,119 1,008 1,045 8 8 8 13,959 14,300 14,300 17,877 18,124 18,155 Allemagne
Latvia Latvia 4,342 4,300 4,300 1,852 1,800 1,800 1,950 2,000 2,000 540 500 500 2,625 2,800 2,800 6,967 7,100 7,100 Lettonie
Luxembourg Luxembourg 61 163 54 12 35 22 49 128 32 0 0 0 22 43 34 83 206 89 Luxembourg
Netherlands Netherlands 196 204 204 57 60 60 131 135 135 9 9 9 1,912 1,900 1,900 2,108 2,104 2,104 Pays-Bas
Poland Poland 7,456 7,800 8,180 2,810 2,930 3,050 4,610 4,840 5,100 36 30 30 2,330 2,300 2,250 9,787 10,100 10,430 Pologne
Portugal Portugal 8,784 8,800 8,700 296 290 250 8,289 8,300 8,250 200 210 200 1,318 1,350 1,330 10,102 10,150 10,030 Portugal
Serbia Serbia 1,327 1,271 1,295 974 956 965 231 210 220 122 105 110 6,122 6,800 6,850 7,449 8,071 8,145 Serbie
Slovakia Slovakia 3,492 3,660 3,760 1,519 1,600 1,650 1,965 2,050 2,100 8 10 10 272 300 325 3,764 3,960 4,085 Slovaquie
Slovenia Slovenia 883 1,100 1,107 467 530 530 386 540 550 30 30 27 937 1,050 1,100 1,820 2,150 2,207 Slovénie
Sweden Sweden 6,550 6,750 6,950 200 200 200 6,200 6,400 6,600 150 150 150 2,700 2,700 2,700 9,250 9,450 9,650 Suède
Switzerland Switzerland 401 436 451 226 250 260 174 185 190 1 1 1 1,146 1,150 1,200 1,547 1,586 1,651 Suisse
UK United Kingdom 108 110 110 56 60 60 3 0 0 48 50 50 613 610 610 720 720 720 Royaume-Uni
Total Europe 51,476 51,228 52,460 14,247 14,211 14,294 36,038 35,883 37,039 1,191 1,135 1,127 45,564 45,266 45,460 97,039 96,493 97,919 Total Europe
Canada Canada 24,896 24,328 24,328 12,051 11,361 11,361 11,007 11,065 11,065 1,838 1,901 1,901 812 842 842 25,708 25,170 25,170 Canada
United States United States 76,692 78,161 77,427 32,771 33,412 33,091 42,272 43,099 42,685 1,649 1,651 1,650 37,351 37,356 37,354 114,043 115,517 114,780 Etats-Unis
Total North America 101,588 102,489 101,754 44,822 44,773 44,453 53,279 54,164 53,750 3,487 3,552 3,551 38,163 38,199 38,196 139,751 140,687 139,950 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

1.2.1.C
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 17,589 16,095 16,500 10,139 10,315 10,000 8,044 6,660 7,000 594 880 500 Autriche
Bulgaria Bulgaria 1,173 ... ... 1,178 ... ... 0 ... ... 5 ... ... Bulgarie
Cyprus Cyprus 2 2 2 2 2 2 0 0 0 0 0 0 Chypre
Czech Republic Czech Republic 8,801 8,617 7,916 17,301 15,480 14,210 750 663 660 9,250 7,526 6,954 République tchèque
Estonia Estonia 3,640 3,730 3,730 3,268 3,200 3,200 455 600 600 83 70 70 Estonie
Finland Finland 25,080 23,224 23,365 25,247 23,457 23,590 165 78 86 332 311 311 Finlande
Germany Germany 39,795 39,077 38,613 44,611 41,447 39,283 3,190 3,300 3,600 8,006 5,670 4,270 Allemagne
Latvia Latvia 6,786 6,350 6,100 5,975 5,600 5,500 1,088 1,100 900 277 350 300 Lettonie
Luxembourg Luxembourg 393 90 161 27 51 122 609 164 164 243 125 125 Luxembourg
Netherlands Netherlands 176 169 169 154 154 154 87 80 80 65 65 65 Pays-Bas
Poland Poland 14,868 15,470 16,000 15,698 16,370 16,900 1,090 1,150 1,200 1,920 2,050 2,100 Pologne
Portugal Portugal 1,971 1,990 2,075 1,851 1,900 1,970 150 130 140 30 40 35 Portugal
Serbia Serbia 226 220 233 202 210 220 28 12 15 4 2 2 Serbie
Slovakia Slovakia 3,057 3,235 3,250 2,724 2,735 2,750 1,049 900 900 716 400 400 Slovaquie
Slovenia Slovenia 1,511 1,740 1,620 1,510 1,680 1,600 287 320 300 286 260 280 Slovénie
Sweden Sweden 39,240 37,680 35,880 39,100 37,600 35,800 880 1,010 1,010 740 930 930 Suède
Switzerland Switzerland 1,935 2,045 2,105 2,224 2,300 2,350 52 55 55 341 310 300 Suisse
UK United Kingdom 6,515 5,510 6,200 6,298 5,300 6,000 359 360 360 142 150 160 Royaume-Uni
Total Europe 172,758 165,244 163,919 177,509 167,801 163,651 18,283 16,582 17,070 23,033 19,139 16,802 Total Europe
Canada Canada 104,025 102,730 102,894 108,690 106,633 106,633 2,221 1,489 1,245 6,887 5,392 4,984 Canada
United States United States 142,644 143,443 143,043 150,702 151,554 151,128 278 280 279 8,336 8,391 8,364 Etats-Unis
Total North America 246,668 246,173 245,937 259,392 258,187 257,761 2,500 1,769 1,524 15,223 13,784 13,348 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

1.2.1.NC
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023 Country Consumption Production Imports Exports Country
Austria Austria 398 362 370 280 292 300 162 140 120 45 70 50 Autriche ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Bulgaria Bulgaria 346 ... ... 346 ... ... 0 ... ... 0 ... ... Bulgarie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Czech Republic Czech Republic 305 239 218 438 378 362 132 135 138 265 274 282 République tchèque ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Estonia Estonia 901 885 885 877 860 860 48 45 45 23 20 20 Estonie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Finland Finland 1,218 1,193 1,123 1,045 1,161 1,123 173 32 0 0 0 0 Finlande ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Germany Germany 2,174 2,346 2,348 2,792 2,809 2,802 110 111 120 727 574 574 Allemagne ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Latvia Latvia 1,570 1,470 1,520 1,852 1,800 1,800 27 60 50 309 390 330 Lettonie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Luxembourg Luxembourg 199 139 126 12 35 22 209 111 111 22 7 7 Luxembourg ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Netherlands Netherlands 62 70 70 57 60 60 65 70 70 59 60 60 Pays-Bas ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Poland Poland 2,740 2,860 3,050 2,810 2,930 3,050 80 80 ... 150 150 ... Pologne ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Portugal Portugal 406 380 350 296 290 250 140 120 130 30 30 30 Portugal ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Serbia Serbia 954 951 955 974 956 965 30 15 20 50 20 30 Serbie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Slovakia Slovakia 1,658 1,700 1,750 1,519 1,600 1,650 562 500 500 423 400 400 Slovaquie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Slovenia Slovenia 263 242 260 467 530 530 43 42 40 248 330 310 Slovénie ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Sweden Sweden 226 226 226 200 200 200 26 26 26 0 0 0 Suède ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Switzerland Switzerland 104 130 150 226 250 260 27 35 40 149 155 150 Suisse ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
UK United Kingdom 67 80 80 56 60 60 15 20 20 4 0 0 Royaume-Uni ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Total Europe 13,592 13,273 13,481 14,247 14,211 14,294 1,849 1,542 1,430 2,504 2,480 2,243 Total Europe ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Canada Canada 13,122 12,288 12,248 12,051 11,361 11,361 1,145 1,018 969 75 92 83 Canada ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
United States United States 30,814 31,416 31,115 32,771 33,412 33,091 151 154 153 2,109 2,150 2,129 Etats-Unis ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Total North America 43,935 43,704 43,363 44,822 44,773 44,453 1,297 1,173 1,122 2,183 2,241 2,212 Total Amérique du Nord ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 280 292 300 280 292 300 ... ... ... ... ... ... Autriche
Bulgaria Bulgaria 346 ... ... 346 ... ... ... ... ... ... ... ... Bulgarie
Czech Republic Czech Republic 303 237 216 438 378 362 130 133 136 265 274 282 République tchèque
Estonia Estonia 877 860 860 877 860 860 ... ... ... ... ... ... Estonie
Finland Finland 1,045 1,161 1,123 1,045 1,161 1,123 ... ... ... ... ... ... Finlande
Germany Germany 2,168 2,341 2,343 2,792 2,809 2,802 98 101 110 722 569 569 Allemagne
Latvia Latvia 1,852 1,800 1,800 1,852 1,800 1,800 ... ... ... ... ... ... Lettonie
Luxembourg Luxembourg 191 139 22 12 35 22 201 111 ... 22 7 ... Luxembourg
Netherlands Netherlands 53 62 62 57 60 60 50 55 55 53 53 53 Pays-Bas
Poland Poland 2,739 2,858 3,050 2,810 2,930 3,050 78 78 ... 150 150 ... Pologne
Portugal Portugal 382 355 325 296 290 250 110 90 100 24 25 25 Portugal
Serbia Serbia 953 950 954 974 956 965 29 14 19 50 20 30 Serbie
Slovakia Slovakia 1,519 1,600 1,650 1,519 1,600 1,650 ... ... ... ... ... ... Slovaquie
Slovenia Slovenia 262 241 259 467 530 530 42 41 39 248 330 310 Slovénie
Sweden Sweden 200 200 200 200 200 200 ... ... ... ... ... ... Suède
Switzerland Switzerland 226 250 260 226 250 260 ... ... ... ... ... ... Suisse
UK United Kingdom 66 80 80 56 60 60 14 20 20 4 0 0 Royaume-Uni
Total Europe 13,462 13,426 13,504 14,247 14,211 14,294 753 643 479 1,538 1,428 1,269 Total Europe
Canada Canada 12,051 11,361 11,361 12,051 11,361 11,361 ... ... ... ... ... ... Canada
United States United States 30,813 31,415 31,114 32,771 33,412 33,091 150 152 151 2,108 2,149 2,128 Etats-Unis
Total North America 42,864 42,777 42,475 44,822 44,773 44,453 150 152 151 2,108 2,149 2,128 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

1.2.1.NC.T
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Czech Republic Czech Republic -2 -2 -2 2 2 2 0 0 0 République tchèque
Germany Germany -7 -5 -5 11 10 10 5 5 5 Allemagne
Luxembourg Luxembourg -8 0 ... 8 0 ... 0 0 ... Luxembourg
Netherlands Netherlands -9 -8 -8 15 15 15 6 7 7 Pays-Bas
Poland Poland -1 -2 -2 2 2 2 0 0 0 Pologne
Portugal Portugal -24 -25 -25 30 30 30 6 5 5 Portugal
Serbia Serbia -1 -1 -1 1 1 1 0 0 0 Serbie
Slovenia Slovenia -1 -1 -1 1 1 1 0 0 0 Slovénie
UK United Kingdom -1 0 0 1 0 0 0 0 0 Royaume-Uni
Total Europe -54 -44 -44 71 61 61 17 17 17 Total Europe
United States United States -1 -1 -1 2 2 2 1 1 1 Etats-Unis
Total North America -1 -1 -1 2 2 2 1 1 1 Total Amérique du Nord

Table 12

TABLE 12
PULPWOOD (total) BOIS DE TRITURATION (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a Imports Exports
Country Consommation Apparente a Production Imports - Importations Exports - Exportations Pays
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 14,154 13,876 13,900 10,568 10,416 10,450 4,953 4,650 4,500 1,367 1,190 1,050 Autriche
Bulgaria Bulgaria 1,639 ... ... 1,699 ... ... 27 ... ... 87 ... ... Bulgarie
Cyprus Cyprus ... ... ... ... ... ... ... ... ... ... ... ... Chypre
Czech Republic Czech Republic 6,155 4,306 4,709 9,027 6,877 7,621 475 469 475 3,347 3,040 3,387 République tchèque
Estonia Estonia 3,575 3,600 3,600 6,323 6,100 6,100 268 240 240 3,015 2,740 2,740 Estonie
Finland Finland 57,262 49,139 51,233 47,052 46,586 49,737 11,200 3,364 2,307 990 811 811 Finlande
Germany Germany 27,289 28,098 28,031 28,327 29,465 28,527 3,819 3,509 3,680 4,858 4,876 4,176 Allemagne
Latvia Latvia 4,879 5,025 5,180 8,296 8,600 8,800 1,417 875 780 4,834 4,450 4,400 Lettonie
Luxembourg Luxembourg 605 681 559 605 681 559 ... ... ... ... ... ... Luxembourg
Malta Malta ... ... ... ... ... ... Malte
Netherlands Netherlands 1,566 1,565 1,565 1,365 1,365 1,365 644 680 680 443 480 480 Pays-Bas
Poland Poland 31,755 32,925 31,800 29,682 30,910 31,800 3,947 3,810 ... 1,874 1,795 ... Pologne
Portugal Portugal 13,642 12,870 12,780 11,483 11,620 11,500 2,833 1,815 1,850 674 565 570 Portugal
Serbia Serbia 812 840 890 800 830 875 15 12 17 3 2 2 Serbie
Slovakia Slovakia 3,849 4,000 4,100 4,043 4,250 4,350 1,043 1,000 1,000 1,237 1,250 1,250 Slovaquie
Slovenia Slovenia 1,129 1,019 1,345 2,008 2,275 2,325 653 674 680 1,532 1,930 1,660 Slovénie
Sweden Sweden 61,355 61,618 61,918 55,300 55,800 56,100 6,858 6,774 6,774 803 956 956 Suède
Switzerland Switzerland 1,773 1,773 1,793 1,340 1,345 1,370 623 613 613 190 185 190 Suisse
UK United Kingdom 5,304 5,040 5,280 5,020 4,770 5,010 384 380 380 101 110 110 Royaume-Uni
Total Europe 236,743 226,375 228,683 222,939 221,890 226,489 39,158 28,865 23,976 25,354 24,380 21,782 Total Europe
Canada Canada 40,927 37,948 37,855 38,095 36,525 36,525 3,722 2,250 2,204 890 827 873 Canada
United States United States 240,634 243,316 241,975 246,219 249,015 247,617 264 268 266 5,849 5,966 5,908 Etats-Unis
Total North America 281,560 281,264 279,830 284,314 285,540 284,142 3,986 2,517 2,469 6,740 6,794 6,781 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

1.2.2.C
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 4,145 4,212 4,300 2,531 2,632 2,700 1,973 1,850 1,800 360 270 200 Autriche
Bulgaria Bulgaria 1,000 ... ... 1,019 ... ... 15 ... ... 34 ... ... Bulgarie
Czech Republic Czech Republic 4,111 2,444 2,838 6,841 4,880 5,621 270 263 265 3,000 2,699 3,048 République tchèque
Estonia Estonia 533 560 560 1,152 1,100 1,100 32 40 40 650 580 580 Estonie
Finland Finland 24,151 23,246 25,181 23,593 23,145 25,026 1,294 754 808 736 653 653 Finlande
Germany Germany 10,697 11,527 11,552 10,505 11,757 10,982 2,523 2,200 2,400 2,331 2,430 1,830 Allemagne
Latvia Latvia 1,714 1,850 1,750 2,036 2,100 2,100 473 400 350 795 650 700 Lettonie
Luxembourg Luxembourg 35 32 6 35 32 6 ... ... ... ... ... ... Luxembourg
Netherlands Netherlands 195 180 180 263 260 260 113 110 110 182 190 190 Pays-Bas
Poland Poland 14,706 15,470 15,900 14,861 15,570 15,900 1,174 1,200 1,250 1,329 1,300 1,250 Pologne
Portugal Portugal 1,402 1,420 1,380 1,370 1,400 1,350 75 65 70 43 45 40 Portugal
Serbia Serbia 76 70 75 76 70 75 0 0 0 0 0 0 Serbie
Slovakia Slovakia 843 900 900 928 1,050 1,050 645 600 600 730 750 750 Slovaquie
Slovenia Slovenia 288 325 315 262 285 275 264 270 270 239 230 230 Slovénie
Sweden Sweden 28,302 29,632 30,232 25,600 26,900 27,500 3,110 3,255 3,255 408 523 523 Suède
Switzerland Switzerland 306 280 290 376 350 360 20 20 20 90 90 90 Suisse
UK United Kingdom 2,085 2,080 2,080 1,895 1,900 1,900 213 210 210 23 30 30 Royaume-Uni
Total Europe 94,588 94,228 97,539 93,345 93,431 96,205 12,194 11,237 11,448 10,950 10,440 10,114 Total Europe
Canada Canada 5,139 4,236 4,204 4,232 3,975 3,975 961 297 273 54 36 45 Canada
United States United States 143,467 144,224 143,845 143,462 144,219 143,840 5 5 5 0 0 0 Etats-Unis
Total North America 148,606 148,460 148,049 147,694 148,194 147,816 966 302 278 54 36 45 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

1.2.2.NC
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 1,182 1,214 1,200 570 634 650 688 700 650 75 120 100 Autriche
Bulgaria Bulgaria 583 ... ... 587 ... ... 5 ... ... 9 ... ... Bulgarie
Czech Republic Czech Republic 365 187 190 453 269 266 2 9 8 90 91 84 République tchèque
Estonia Estonia 336 370 370 1,171 1,100 1,100 139 130 130 974 860 860 Estonie
Finland Finland 12,721 9,117 9,428 8,151 8,084 8,801 4,661 1,085 679 91 52 52 Finlande
Germany Germany 1,111 1,021 1,079 1,119 1,008 1,045 261 259 280 269 246 246 Allemagne
Latvia Latvia 432 375 480 1,950 2,000 2,000 166 175 180 1,684 1,800 1,700 Lettonie
Luxembourg Luxembourg 49 128 32 49 128 32 ... ... ... ... ... ... Luxembourg
Netherlands Netherlands 62 65 65 131 135 135 19 20 20 89 90 90 Pays-Bas
Poland Poland 5,095 5,325 5,100 4,610 4,840 5,100 560 560 ... 75 75 ... Pologne
Portugal Portugal 8,939 8,930 8,890 8,289 8,300 8,250 1,000 950 970 350 320 330 Portugal
Serbia Serbia 230 210 220 231 210 220 0 0 0 1 0 0 Serbie
Slovakia Slovakia 1,909 2,000 2,050 1,965 2,050 2,100 91 100 100 147 150 150 Slovaquie
Slovenia Slovenia 131 154 160 386 540 550 117 114 110 372 500 500 Slovénie
Sweden Sweden 8,485 8,486 8,686 6,200 6,400 6,600 2,313 2,119 2,119 28 33 33 Suède
Switzerland Switzerland 137 148 153 174 185 190 3 3 3 40 40 40 Suisse
UK United Kingdom 54 50 50 3 0 0 52 50 50 1 0 0 Royaume-Uni
Total Europe 41,820 37,780 38,153 36,038 35,883 37,039 10,077 6,274 5,299 4,294 4,377 4,185 Total Europe
Canada Canada 10,804 10,827 10,819 11,007 11,065 11,065 46 47 39 249 284 285 Canada
United States United States 42,259 43,085 42,672 42,272 43,099 42,685 42 42 42 55 56 56 Etats-Unis
Total North America 53,063 53,912 53,491 53,279 54,164 53,750 88 89 81 304 340 340 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

3
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 8,827 8,450 8,400 7,467 7,150 7,100 2,292 2,100 2,050 931 800 750 Autriche
Bulgaria Bulgaria 56 ... ... 93 ... ... 7 ... ... 44 ... ... Bulgarie
Cyprus Cyprus 8 10 10 8 9 9 1 1 1 0 0 0 Chypre
Czech Republic Czech Republic 1,679 1,675 1,681 1,733 1,728 1,734 203 197 202 257 250 255 République tchèque
Estonia Estonia 2,706 2,670 2,670 4,000 3,900 3,900 96 70 70 1,390 1,300 1,300 Estonie
Finland Finland 20,390 16,776 16,624 15,308 15,357 15,910 5,245 1,525 820 163 106 106 Finlande
Germany Germany 15,481 15,550 15,400 16,703 16,700 16,500 1,036 1,050 1,000 2,258 2,200 2,100 Allemagne
Latvia Latvia 2,733 2,800 2,950 4,310 4,500 4,700 778 300 250 2,355 2,000 2,000 Lettonie
Luxembourg Luxembourg 680 517 517 521 521 521 283 17 17 124 21 21 Luxembourg
Malta Malta 2 2 3 0 0 0 2 2 3 0 0 0 Malte
Netherlands Netherlands 1,310 1,320 1,320 971 970 970 512 550 550 173 200 200 Pays-Bas
Poland Poland 11,954 12,130 12,400 10,211 10,500 10,800 2,213 2,050 2,000 469 420 400 Pologne
Portugal Portugal 3,301 2,520 2,510 1,824 1,920 1,900 1,758 800 810 281 200 200 Portugal
Serbia Serbia 506 560 595 493 550 580 15 12 17 2 2 2 Serbie
Slovakia Slovakia 1,097 1,100 1,150 1,150 1,150 1,200 307 300 300 360 350 350 Slovaquie
Slovenia Slovenia 710 540 870 1,360 1,450 1,500 272 290 300 922 1,200 930 Slovénie
Sweden Sweden 24,568 23,500 23,000 23,500 22,500 22,000 1,435 1,400 1,400 367 400 400 Suède
Switzerland Switzerland 1,330 1,345 1,350 790 810 820 600 590 590 60 55 60 Suisse
UK United Kingdom 3,164 2,910 3,150 3,122 2,870 3,110 119 120 120 77 80 80 Royaume-Uni
Total Europe 100,505 94,375 94,600 93,564 92,585 93,254 17,174 11,374 10,500 10,234 9,584 9,154 Total Europe
Canada Canada 24,984 22,884 22,832 22,856 21,485 21,485 2,716 1,906 1,891 587 507 544 Canada
United States United States 54,907 56,007 55,457 60,485 61,697 61,091 216 221 219 5,794 5,910 5,852 Etats-Unis
Total North America 79,892 78,891 78,290 83,341 83,182 82,576 2,932 2,127 2,110 6,382 6,417 6,396 Total Amérique du Nord

Table 13

4.1x
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
Austria Austria 1,144 1,270 1,410 1,607 1,720 2,060 413 328 400 875 778 1,050 Autriche
Bulgaria Bulgaria 202 ... ... 216 ... ... 132 ... ... 146 ... ... Bulgarie
Cyprus Cyprus 4 3 3 0 0 0 4 3 3 0 0 0 Chypre
Czech Republic Czech Republic 126 199 201 490 503 517 39 35 37 403 339 353 République tchèque
Estonia Estonia 67 70 70 1,600 1,550 1,550 26 20 20 1,559 1,500 1,500 Estonie
Finland Finland 552 479 456 365 375 380 196 110 80 9 6 4 Finlande
Germany Germany 2,932 3,200 3,400 3,353 3,600 3,800 392 450 500 813 850 900 Allemagne
Latvia Latvia 221 280 100 2,138 2,200 2,000 592 380 400 2,509 2,300 2,300 Lettonie
Luxembourg Luxembourg 49 63 63 63 63 63 13 4 4 28 4 4 Luxembourg
Malta Malta 1 1 1 0 0 0 1 1 1 0 0 0 Malte
Netherlands Netherlands 2,449 2,457 2,457 307 315 315 2,297 2,297 2,297 155 155 155 Pays-Bas
Poland Poland 1,169 1,220 1,330 1,594 1,620 1,680 269 280 300 694 680 650 Pologne
Portugal Portugal 224 270 265 731 860 800 3 10 15 510 600 550 Portugal
Serbia Serbia 497 430 485 468 420 460 84 60 80 55 50 55 Serbie
Slovakia Slovakia 19 145 195 310 325 350 46 45 45 337 225 200 Slovaquie
Slovenia Slovenia 111 112 150 149 162 170 166 120 150 204 170 170 Slovénie
Sweden Sweden 1,771 1,985 1,985 1,900 2,100 2,100 154 235 235 282 350 350 Suède
Switzerland Switzerland 350 355 360 275 285 295 75 70 65 0 0 0 Suisse
UK United Kingdom 9,430 9,450 9,450 304 320 320 9,128 9,130 9,130 2 0 0 Royaume-Uni
Total Europe 21,318 21,989 22,381 15,870 16,418 16,860 14,030 13,578 13,762 8,582 8,007 8,241 Total Europe
Canada Canada 706 761 548 3,830 4,131 4,131 29 33 35 3,153 3,402 3,618 Canada
United States United States 1,122 1,136 1,129 8,449 8,557 8,503 196 198 197 7,523 7,619 7,571 Etats-Unis
Total North America 1,828 1,898 1,677 12,279 12,688 12,634 225 231 232 10,676 11,021 11,189 Total Amérique du Nord

Table 14

3+4
TABLE 14
Europe: Summary table of market forecasts for 2022 and 2023
Europe: Tableau récapitulatif des prévisions du marché pour 2022 et 2023
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 67.77 63.34 62.12 90.27 88.25 87.84 26.30 22.94 21.87 48.80 47.85 47.59 Sciages conifères
Softwood logs a 172.76 165.24 163.92 177.51 167.80 163.65 18.28 16.58 17.07 23.03 19.14 16.80 Grumes de conifères a
Sawn hardwood 4.34 4.17 4.19 4.22 4.17 4.09 2.95 2.89 2.92 2.83 2.89 2.82 Sciages non-conifères
– temperate zone b 3.56 3.34 3.35 3.04 2.92 2.91 2.41 2.33 2.37 1.89 1.90 1.93 – zone tempérée b
– tropical zone b 0.32 0.34 0.34 0.03 0.02 0.03 0.41 0.41 0.40 0.12 0.09 0.08 – zone tropicale b
Hardwood logs a 13.59 13.27 13.48 14.25 14.21 14.29 1.85 1.54 1.43 2.50 2.48 2.24 Grumes de non-conifères a
– temperate zone b 13.46 13.43 13.50 14.25 14.21 14.29 0.75 0.64 0.48 1.54 1.43 1.27 – zone tempérée b
– tropical zone b 0.05 0.04 0.04 0.07 0.06 0.06 0.02 0.02 0.02 – zone tropicale b
Veneer sheets 0.74 0.75 0.72 0.70 0.72 0.71 0.78 0.71 0.66 0.74 0.68 0.65 Feuilles de placage
Plywood 5.94 5.84 5.86 3.41 3.37 3.35 5.87 5.67 5.63 3.35 3.21 3.12 Contreplaqués
Particle board (excluding OSB) 21.78 20.86 20.73 21.93 20.41 20.25 8.19 8.10 8.10 8.34 7.66 7.62 Pann. de particules (sauf OSB)
OSB 4.95 4.85 4.85 4.74 4.42 4.49 2.67 2.69 2.71 2.46 2.25 2.35 OSB
Fibreboard 13.90 14.17 14.10 14.72 14.71 14.71 7.39 7.13 7.04 8.20 7.67 7.66 Panneaux de fibres
– Hardboard 0.54 0.77 0.77 0.28 0.21 0.21 1.07 1.06 1.06 0.81 0.50 0.50 – Durs
– MDF 9.73 9.79 9.73 10.78 10.85 10.80 4.34 4.11 4.07 5.38 5.17 5.15 – MDF
– Other board 3.63 3.62 3.61 3.66 3.65 3.70 1.98 1.96 1.92 2.01 2.00 2.01 – Autres panneaux
Pulpwood a 236.74 226.37 228.68 222.94 221.89 226.49 39.16 28.87 23.98 25.35 24.38 21.78 Bois de trituration a
– Pulp logs 136.41 132.01 135.69 129.38 129.31 133.24 22.27 17.51 16.75 15.24 14.82 14.30 – Bois ronds de trituration
– softwood 94.59 94.23 97.54 93.34 93.43 96.20 12.19 11.24 11.45 10.95 10.44 10.11 – conifères
– hardwood 41.82 37.78 38.15 36.04 35.88 37.04 10.08 6.27 5.30 4.29 4.38 4.19 – non-conifères
– Residues, chips and particles 100.50 94.37 94.60 93.56 92.59 93.25 17.17 11.37 10.50 10.23 9.58 9.15 – Déchets, plaquettes et part.
Wood pulp 31.26 30.47 31.02 33.82 32.17 33.48 10.99 11.00 11.04 13.56 12.70 13.50 Pâte de bois
Paper and paperboard 47.70 46.94 46.97 64.68 62.48 63.49 29.98 29.24 29.29 46.96 44.78 45.81 Papiers et cartons
Wood Pellets 21.32 21.99 22.38 15.87 16.42 16.86 14.03 13.58 13.76 8.58 8.01 8.24 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

3+4
TABLE 15
North America: Summary table of market forecasts for 2022 and 2023
Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2022 et 2023
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
2021 2022 2023 2021 2022 2023 2021 2022 2023 2021 2022 2023
actual forecasts actual forecasts actual forecasts actual forecasts
réels prévisions réels prévisions réels prévisions réels prévisions
Sawn softwood 108.10 107.38 113.43 119.26 116.36 115.11 27.96 27.02 27.28 39.12 36.00 28.96 Sciages conifères
Softwood logs 246.67 246.17 245.94 259.39 258.19 257.76 2.50 1.77 1.52 15.22 13.78 13.35 Grumes de conifères
Sawn hardwood 15.56 16.29 15.82 18.21 18.42 18.18 1.51 1.93 1.66 4.17 4.06 4.02 Sciages non-conifères
– temperate zone 15.36 16.05 15.61 18.21 18.42 18.18 1.27 1.64 1.38 4.11 4.01 3.96 – zone tempérée
– tropical zone 0.19 0.25 0.22 0.00 0.00 0.00 0.24 0.30 0.27 0.05 0.05 0.06 – zone tropicale
Hardwood logs 43.94 43.70 43.36 44.82 44.77 44.45 1.30 1.17 1.12 2.18 2.24 2.21 Grumes de non-conifères
– temperate zone 42.86 42.78 42.48 44.82 44.77 44.45 0.15 0.15 0.15 2.11 2.15 2.13 – 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 2.82 2.97 2.90 2.87 2.85 2.85 0.85 0.98 0.95 0.90 0.86 0.89 Feuilles de placage
Plywood 19.52 19.58 19.65 11.40 11.54 11.44 9.51 9.31 9.53 1.39 1.26 1.32 Contreplaqués
Particle board (excluding OSB) 6.60 8.78 7.32 5.78 5.94 5.56 2.06 3.74 2.74 1.24 0.90 0.99 Pann. de particules (sauf OSB)
OSB 21.42 21.68 21.95 21.08 21.62 21.89 6.27 6.31 6.40 5.93 6.25 6.34 OSB
Fibreboard 11.22 11.48 11.34 8.91 9.09 9.06 4.02 4.08 4.01 1.71 1.68 1.73 Panneaux de fibres
– Hardboard 0.55 0.55 0.55 0.59 0.59 0.60 0.32 0.32 0.32 0.36 0.36 0.37 – Durs
– MDF 7.31 7.18 7.23 5.04 5.11 5.13 3.33 3.21 3.22 1.06 1.14 1.12 – MDF
– Other board 3.36 3.75 3.56 3.28 3.39 3.33 0.37 0.55 0.47 0.29 0.18 0.24 – Autres panneaux
Pulpwood 281.56 281.26 279.83 284.31 285.54 284.14 3.99 2.52 2.47 6.74 6.79 6.78 Bois de trituration
– Pulp logs 201.67 202.37 201.54 200.97 202.36 201.57 1.05 0.39 0.36 0.36 0.38 0.39 – Bois ronds de trituration
– softwood 148.61 148.46 148.05 147.69 148.19 147.82 0.97 0.30 0.28 0.05 0.04 0.04 – conifères
– hardwood 53.06 53.91 53.49 53.28 54.16 53.75 0.09 0.09 0.08 0.30 0.34 0.34 – non-conifères
– Residues, chips and particles 79.89 78.89 78.29 83.34 83.18 82.58 2.93 2.13 2.11 6.38 6.42 6.40 – Déchets, plaquettes et part.
Wood pulp 55.37 54.37 54.34 64.57 63.72 63.24 7.13 6.99 7.22 16.34 16.33 16.12 Pâte de bois
Paper and paperboard 70.56 73.06 71.87 76.26 78.63 77.27 10.65 11.12 10.93 16.35 16.69 16.32 Papiers et cartons
Wood pellets 1.83 1.90 1.68 12.28 12.69 12.63 0.23 0.23 0.23 10.68 11.02 11.19 Granulés de bois
printed on 16/12

StatUp – How to improve organisation

iii. Training and Skills
Dominica Nowak (Statistics Poland)

Languages and translations
English

1

Stat!UP

How to improve organization

Dominika Nowak Head of Unit, Experimental Research

Brussels October, 12, 2022 Workshop on HRMT

2

Stat!UP Modernization of national data infrastructure

stat.gov.pl

3stat.gov.pl

4

How it all started

stat.gov.pl

5

How it all started – everything is changing

stat.gov.pl

New data sources

Big data Data scienceFaster

New domains

Cross-cutting topics

Growing needs of data users

Higher granularity

Infrastructure

Processing power

New work arrangements

Architecture

COVID

RUSSIAN INVASION OF UKRAINE

6

How it all started – what data users want

stat.gov.pl

How can we get your data faster?

Can we get more statistics than the ones

in your database?

Why does it take so long to get your

response?

Why do we get inconsistent data?

Who should we contact?

Could we carry out joint projects?

We urgently need the data related to the Covid pandemic!

We urgently need the data on the immigration!

We want access to the microdata!

Why does it take so long to sign an

agreement with you?

Why can’t we find the info we need on

your website?

7

How it all started – how are we suppossed to respond to it?

stat.gov.pl

No easy internal access to data for new

research

Flawed processes or lack of such

Poor internal & external

communication Huge administrative

burden

No time

Questionable legal support

Insufficient competencies

Weak culture of horizontal cooperation

Rigid administrative procedures Not enough people

No agility

8

Embracing the challenge

stat.gov.pl

Embracing the challenge

9

Getting ready for existing and future challenges

stat.gov.pl

92

85 85 84 84

82

80 79

78 78

1. S

in ga

po re

2. P

ol an

d

3. F

in la

nd

4. D

en m

ar k

5. S

w ed

en

6. N

et he

rla nd

s

7. S

lo ve

ni a

8. N

or w

ay

9. M

on go

lia

10 . S

lo va

ki a

Open Data Inventory 2020 ranking by Open Data Watch Enhance data-driven policy making in Poland

Respond to ever-changing data users needs and simplify access to data published on the website and databases

Adopt data-steward role, evolved from data-provider

Activate and complement the resources of Statistics Poland for efficient, technology-enabled delivery of high- quality tailor-made statistical and analytical outputs, in a timely manner, in response to specific needs of external data users

10

Our journey

stat.gov.pl

Inception report Report on AS-IS situation and Business Requirements description

Business case report

Report on the definition of the TO BE situation and Recommenda- tions

Report on roadmap and implementation plan

Report on training programme

Final Report, Project Presentation and Factsheet

November 2020 May 2022

1 2 3 4 5 6 7

11

We started with AS-IS analysis

stat.gov.pl

• Workshops with external stakeholders allowed for identification of four thematic areas – site navigation, data sharing, promotion of GUS resources and communication with GUS

• Internal requirements were identified within the areas of: data integration, data release, communication

Business Requirements Description

K ey

ta ke

aw ay

s

• Critical tools and methods used should be standardised

• Access to data through API should be increased

• Access to metadata should be increased

• The needs of external stakeholders and website traffic analyses should be carried out

Statistical production process analysis

• Synergy with other infrastructural projects in the organization should be ensured

• Synergies among IT tools at Statistics Poland’s disposal should be increased

Technology analysis

Six areas conditioning successful transformation of the institution were studied (organisational culture, administrative effectiveness, human capital excellence, financial resources, readiness for Agile and Lean principles)

Organisational analysis with human capital review

12

Employee’s perspective of Statistics Poland

stat.gov.pl

135 357

376

831

1111 Female Male

No Yes

Higher Secondary

Gender

Membership in management staff

Education

Age Senority

Under 26 years old

36-45 years old 26-35 years old Over 55 years old

46-55 years old Under a year

4-10 years 1-3 years Over 21 years

11-20 years

35 341

936

905

593

A survey among employees to determine: • organizational culture • work style of the employees • eagerness to change in behaviors • motivation • communication style. The survey collected 2 810 responses (~50% of all employees).

13

Employee’s perspective of Statistics Poland

stat.gov.pl

2050

1133

754

667

493

406

317

198

Stability and security of employment

Vacancy

Job profile appropriate to my education

The proximity to the place of residence

Opportunity for professional development

Work recommendation from a friend

Prestige of the organization

Appropriate organizational culture

I decided to work in the organization due to:

14

Embracing the challenge

stat.gov.pl

Getting things done

15

Five areas for improvement

stat.gov.pl

Communication Model of cooperation with external stakeholders (clients) of GUS: organisation of data requests handling procedure in the light of communication with the client, assessment of clients satisfaction, as well as monitoring of their needs.

Coordination and Management Internal organisation of data requests handling, as well as cooperation among production units responsible for preparing datasets and reports. Development of target operating model of non-standard production processes.

Methodology Organisation of data sharing processes within public administration, facilitating the process of microdata sharing. Supervision of new dimensions of data development.

Technology Provision of technological resources and tools allowing the implementation of changes proposed in different areas. Development of technological standards for technical staff.

Administrative and formal procedures Development of statistical production support system. Simplification and unification of procedures in the area of processing of contracts, agreements and data requests in legal aspects.

16

Workshops with data users & study visit at CBS

stat.gov.pl

Two-day online visit at CBS was dedicated to two main areas

Data & Non-Standard Questions How Statistics Netherlands is dealing with data collection? How data collected is further processed (pseudonimisation, harmonising the data etc.)? What are the main ways and systems for data sharing? How are Policy Related statistics („non-standard questions”) organised?

Microdata Services Who and under what assumptions can be granted access to microdata (authorisation of organisations)? What is the authorisation procedure? What is the IT Security framework? How the results are published?

Workshop aimed at exploring stakeholders’ needs related to non-standard statistical outputs and ad-hoc data analyses

Two workshops with GUS data users were organized in order to get familiar with their needs. Among the participants of workshops were representatives of analytical centers, international and national public institutions, a journalist, a scientist and a student, who have various motivations to use GUS’ data. During the interviews, key points of discussions included main kinds of data they search, strengths of current interactions with Statistics Poland and problems coming across in this process.

17

Five prioty activities

stat.gov.pl

1) Establish a team of „knowledge brokers” (including appointment of NPS (non- standard statistical production) coordinators in each production and „supporting” unit)

2) Training for management and employees in agile management methods

3) Review of the administrative procedures along the principles of Lean Management

4) Design of a new enquiry form 5) Development of a platform for enquiries monitoring and communication with external stakeholders

18

Stat!UP in numbers

stat.gov.pl

19

Mission completed (?)

stat.gov.pl

20

What’s next?

stat.gov.pl

2) Complex review of the administrative procedures along the principles of Lean Management and elimination of process inefficiencies

4) Continuous upskilling of all Statistics Poland specialists in the communication area – training or sharing and cascading knowledge

1) Implementation and further modernization process by adoption of agile management methods

3) Pilot implementation of the „knowledge brokers” unit

21

Dominika Nowak [email protected]

*The presentation uses some of PwC materials from the Stat!UP project closing event

Thank you.

stat.gov.pl

  • Stat!UP�How to improve organization
  • Stat!UP Modernization of national data infrastructure
  • Slide Number 3
  • How it all started
  • How it all started – everything is changing
  • How it all started – what data users want
  • How it all started – how are we suppossed to respond to it?
  • Embracing the challenge
  • Getting ready for existing and future challenges
  • Our journey
  • We started with AS-IS analysis
  • Employee’s perspective of Statistics Poland
  • Employee’s perspective of Statistics Poland
  • Embracing the challenge
  • Five areas for improvement
  • Workshops with data users & study visit at CBS
  • Five prioty activities
  • Stat!UP in numbers
  • Mission completed (?)
  • What’s next?
  • Slide Number 21