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Italy

Presentation, Claudia Villante (Istat, Italy)

Languages and translations
English

UNECE/UNICEF Expert Meeting on Statistics on Children

Geneva, Switzerland, 4–6 March 2024

Collecting and integrating data on violence against Children. The

Italian case between the national and international level.

Paper prepared by

Sara Corradini, Francesco Gosetti, Maria Giuseppina Muratore, Claudia Villante

Index

1. The state of the art and scoping of «DORA» project

2. Methodological issues: mixed methods and multisource

approach

3. Preliminary results: defining domains and indicators

4. The way forward

2

1. The state of the art and scoping od «DORA» project

DEFINITION OF VAC

still a difficult issue

DATA LACK under

reporting availability

and comparability

DATA HETEROGE

NEITY different

nature and data

producers 3

Data integratiOn for acknowledging Risks And protecting

children from violence (DORA) within the priority 4 of CERV-

2022-DAPHNE "Supporting and improving national data

collection on Violence Against Children (VAC)”

Identifying the existing informative gaps on VAC

and elaborating statistical solutions able to

combine, integrate, and thus produce refined and

of high quality data

The project is in co-partnership with the University of

Bologna, Brescia, Milano Bicocca, Napoli Federico II and

Ares 2.0

MEASURING VAC:

a large data-ecosystem

OFFICIAL STATISTICS – CITIZEN GENERATED

DATA

Admin

data

Survey Registers

base data

NGOs

Istitutions

Stakeholders

Key Actors

DATA

INTEGRATION

DEFINING VAC:

the role of the of experts, stakeholders, data-producers

2. Methodological issues: mixed methods and multisource approach

4

Qualitative research Multisources approach

I C V A C

The added value of mixed methodology

5

The strength of this approach relies on

the direct and participatory involvement

of key actors and reaching a good

representation of the VAC, as well as of

its preventive and protective indicators

Role of both children

and their families in

the production of

data collection

Identifying alternative sources of

data different from those coming

from the official statistics and

discuss their possible integration

within a broader multi-source

data system on VAC

Detecting new

forms of violence,

or how well-

known ones are

changing

Reconstruction of direct and indirect statistical sources containing information on VAC, highlighting strong and weak points of the current situation in Italy

Recognition of data collection and dissemination on VAC in the EU NSO

Increasing understanding of existing data and analysis on VAC

Identification of current gaps in order to highlight the next steps towards improving current statistical data

and indicators on VAC

2. Methodological issues: mixed methods and multisource approach

6

Setting the VAC

domains of analysis

Measuring the

domains

Development of a

strategy to approach

each domain

1

2

3

3. Preliminary results: defining domains

7

➢Homicide of a child

➢Physical violence against a child (including chemical abuse, shaken

baby syndrome, dual harm, isolating a child, female genital

mutilation);

➢Psychological violence against a child (including witnessing

violence, bullying and cyberbullying, Stalking and cyber stalking);

➢Sexual violence against a child (including Cyber violence, child

prostitution, child pornography and sexual grooming);

➢Neglect of a child and pathologies of the care child (including

Munchausen syndrome by proxy);

➢Child trafficking and child labour exploitation (including

abduction of a child, sale of a child);

➢Other forms of violence: forced marriage (and early marriage)

3. Preliminary results: defining domains and indicators

8

a)Definitions from the literature

b)Developing of a new shared definition (also taking

into account the qualitative phase);

c)Defining the core/additional indicators

(metadata);

d)Selecting the Italian data sources, also focus on the

regularity of data availability to measure

indicators;

e)Providing the convergence/divergence between

sources-definition, looking at ICVAC and other

countries main experiences

3. Preliminary results: defining indicators

9

Indicator Forms of

violence

Core

variables

Disaggregation variables

Proportion

of children

0-17 who

experienced

[type of

violence] in

the last 12

month/ 5

years/ life

course

Specific

form of

violence

included

• Cyber-

related

(Y/N/NA

• Setting

• Type of

perpetretor Repetitiveness

Victims Age

Sex

Citizenship

Migration status of foreign

children

Disability status

Perpetrators Age

Sex

Citizenship

Urbanity residence

3. Preliminary results: defining domains and indicators

10

Indicator Forms of

violence

Core

variables

Disaggregation

variables

Proportion of

children 0-17 who

experienced [type

of violence] in the

last 12 month/ 5

years/ life course,

whose violence

has been

disclosed

Specific

form of

violence

included

• Cyber-

related

(Y/N/NA)

Setting

• Type of

perpetretor

• Type of

agency

• Formal/

Informal

Victims Age

Sex

Citizenship

Migration status of

foreign children

Disability status

Perpetrators Age

Sex

Citizenship

Urbanity residence

4. The way forward

11

a) Comparable data collected

b) Systematically organised/disseminated

c) Relevance and/or methodological soundness.

d) New data (e.g. cyber-violence)

EVIDENCES

There are still significant data gaps that must be addressed and that still present a critical barrier to preventing and ending violence against children

NEEDS

Observing VAC in its recent forms and interpreting collected and comparable data with greater depth and meaningfulness.

Huge coordination with other institutions that do not have a statistical sensibility and culture

DEVELOPMENT OF A DYNAMIC PROPOSAL

Presentation, Sara Corradini (Istat, Italy)

Languages and translations
English

Expert meeting on statistics on children

Geneva, Switzerland, 4–6 March 2024

On the road to inclusion: a survey on schools and

students with disabilities in Italy

Paper prepared by Sara Corradini, Lucia Martinez – Italian National Institute of Statistics - Istat

Index

- Survey “School inclusion of students with disabilities”

- Methodology

- Dimensions of inclusion

- Indicators and main findings of the survey

- Conclusion

2

In order to ensure better monitoring of the UNCRPD, the Italian National

Institute of Statistics has implemented a Survey: “School inclusion of

students with disabilities”

The Survey (started in 2008) is carried out, annually, in cooperation with the

Italian Ministry of Education

It allows monitoring various aspects of the inclusion of students with

disabilities, also observing its evolution over time

Initially, focused only on primary schools, it now involved all levels and

grades of schooling, from kindergarten to upper secondary school, including

both public and private schools 3

The Survey “School inclusion of students with disabilities”

4

Methodology

CENSUS

Italian school of the all level

to Assess the objective

aspects of inclusion

56.000 Schools

SAMPLE

Sample of students with

disabilities

Detect aspects of inclusion such

as participation, relationships and

satisfaction

27.000 Students

SAMPLING DESIGN

2 STAGE with stratification of the first stage units

First stage units: schools stratified by geography

/type of school

The second stage units are students with disabilities –

no control sample

QUESTIONNAIRES

Electronic Questionnaires

CAWI

Closed-ended questions

Filters guiding the response pathway

Dimensions of inclusion

5

ACCESSIBLE ENVIRONMENT

• The school environment is a factor of inclusion based on level of accessibility

• So it’s essential to remove architectural barriers

ROLE OF THE LEARNING SUPPORT TEACHER

• Differentiatiat ion of teaching methods

• Italy: Lack of well-trained teachers

STUDENTS’ LEARNING AND SOCIAL PARTICIPATION

• Relationships with peers in and out of school is a resource for inclusive teaching

TECHNOLOGY AND LEARNING TOOLS/LEARNIN G MATERIALS

• Technology plays an important "facilitator" role, supporting the students in their learning pathway/pro cess

NETWORK: COLLABORATIO N AMONG SCHOOL, FAMILIES AND TERRITORIES

• The Inclusion Working Group and the Operational Inclusion Working Group have a strategic role in fostering greater school and territorial synergies

Physical barriers:

40% of schools is accessible for pupils with physical disabilities

50% of schools do not have an elevator or do not have one suitable for transporting people with disabilities

Sensory barriers:

17% of schools have visual signs for students with deafness or hearing impairment.

1.2% of schools have relief maps and tactile pathways for students with blindness or visual impairment

Indicators and main findings of the survey (S.Y. 22/23)

ACCESSIBLE ENVIRONMENT

6

7

ROLE OF THE LEARNING SUPPORT TEACHER

228 thousand learning support teachers

338 thousand students with disabilities

(1.6 students-theachers ratio)

Continuity of the teacher-pupil relationship:

60% of pupils changed support teachers from previous year

Learning support teachers with training in inclusive education:

8% of schools have no teachers with training

24% of schools have all teachers with at least one course

12%

of learning support teacher appointed during the school year

8

TECHNOLOGY AND LEARNING TOOLS/LEARNING MATERIALS

Aids to facilitate the learning process: 41% of students use IT and devices for personalising teaching

31% of students use educational software for learning

Unfulfilled needs: 7% of students do not have aids, although they would need them

15% of students do not have computer systems for studying and

software that supports skills development

Satisfaction about the aids: 92% of students are satisfied with teaching aids

9

STUDENTS LEARNING AND SOCIAL PARTICIPATION

Time in the classroom with the peers: Students spend 28 hours/week in classroom and carry out teaching

activities outside 3 hours/week.

Students with severe limitations spend 7 hours/week outside the

classroom

Learning tools outside the classroom: 52% of schools have computer workstations in specific support

classrooms/laboratories separating students in need of such devices

from the class group

10

(2) STUDENTS LEARNING AND SOCIAL PARTICIPATION

Participation in physical education (PE): 92% of students participate in PE activities.

52% of students do not participate in extra-curricular activities

Participation in educational trips: 87% of students participate to short educational trips (no overnight stay)

68% participate to trips that include overnight stays.

Non-participation in either type of trip is mainly linked to

to disability (19% and 31% respectively)

11

NETWORK: COLLABORATION AMONG SCHOOL, FAMILIES AND TERRITORY

Number and frequency of meetings between families and teachers:

55% of the families have less than one meeting per month with

curricular teachers outside the Working Group for Inclusion (GLI)

21% of families do not have any meetings

17% of families have more than one meeting per month with learning

support teachers

12

(2)NETWORK: COLLABORATION AMONG SCHOOL, FAMILIES AND TERRITORY

Participation of families and specialists in the drafting of

Individualised Educational Plans (IEP):

For 90% of pupils, families are involved in drafting the IEP

In 61% of cases, the ASL specialists also take part

In 39% of cases, territorial specialists (such as communication

assistants or psycho-pedagogists) are also involved

Research on the conditions facilitating the school inclusion emphasises the

importance of investigating not only the characteristics of students with difficulties, but

also the attitudes and skills of the teachers

It is essential to focus on the social and environmental conditions, technologies and

human relations on which depends the level of school accessibility and inclusiveness

For these reasons, Istat survey analyses various aspects of inclusion over time. For

example, during the Covid-19 pandemic the survey was adapted to include questions

detecting aspects of inclusion in a new context such as remote learning

Finally, the survey results show that we are making significant progress in

understanding all aspects of school inclusion, even though the road to full inclusion of

children with disabilities is still a long one

Conclusions

13

Presentation, Alessandra Battisti (Istat, Italy)

Languages and translations
English

Expert meeting on statistics on children

Geneva, Switzerland, 4–6 March 2024

SOCIAL INCLUSION: A NEW SURVEY ON CHILDREN WITH DISABILITIES AND THEIR FAMILIES

Paper prepared by Alessandra Battisti, Elena De Palma, Claudia Di Priamo – Italian National Institute of Statistics - Istat

Starting point …

oNSOs are required to fulfil the information needs of policymakers by

measuring the level of social inclusion of children with disabilities.

o In Italy the available data does not provide an exhaustive picture of

children’s social inclusion.

oAssociations of people with disabilities are also calling for a broader

representation of the living conditions, needs and barriers that prevent

children with disabilities from exercising their rights on an equal basis

with other children.

oFamilies stressed the need to capture the difficulties they faced and

the complexity and burden of caring for children with disabilities. 2

Aims of presentation

3

Share the main features of the survey

Questionnaire collect information on social inclusion of children with

disabilities and on any difficulties their families may encounter.

Use of a new disability register to build a sample based on the

demographic structure of the population with disabilities.

Integration between administrative information (disability

certification) and international disability measurement tools.

The questionnaire (1)

4

For each student: information on the level of school and social inclusion,

difficulties in the diagnostic paths to obtain a final diagnosis, type of

social and health services provided to families and any access

difficulties.

Regarding families: socio-demographic and economic information in

order to describe the family context and the workload of caring for a

child with disabilities.

: Health - Diagnostic path - Use of services -Work

flexibility and childcare burden – School inclusion - Social participation -

Socio-demographic information on each family member

The questionnaire (2)

Administered by:

CAWI and CATI

5

Information on:

Children with disabilities

Children without disabilities

Different pathways are provided within the

seven thematic areas and filters lead to the

relevant questions and appropriate answer

categories for the two samples.

Sample size: 40.000 students

20.000 with disabilities

20.000 without disabilities

The primary caregiver of the child (with or without

disabilities) is the survey respondent.

The survey is

planned for April

2024

First time that a sample on disability is designed starting from a

list of persons with disabilities.

The Sample

6

The list was obtained by combining two administrative data sources of

the National Institute for Social Security:

1)Disability Certification Register

2)Disability Pension Beneficiaries Register

Merging this two data sources made it possible to retrieve people

certified before 2010 who were recipients of disability pensions.

The list is based on a medical approach to disability.

The inclusion of the international measures has two

objectives:

• To analyse the functioning of the population with a

standardized scale of measurement.

• To compare data based on perceived and self-

reported survey measures with the results of the

medical approach.

International measures (1)

7

Three different international survey tools are used in the

questionnaire:

GALI

CFM

International measures (2)

8

Index for inclusion:

developing learning

and participation in

schools. (T. Booth,

M. Ainscow)

The items from “Index for inclusion”

measure the level of inclusion in

school using the parent's subjective

point of view on specific aspects,

such as the relationship with

teachers, curricular and learning

support, and peers relations.

UNCRPD, literature, international survey tools as well as the

collaboration with national disability associations were crucial in

identifying the main areas, and within them the specific aspects to be

investigated.

Conclusions (1)

9

The new sample design will make it possible to obtain more accurate

estimates and to evaluate the presence of any distortions in the

assessments coming from other population surveys.

Conclusions (2)

10

The use of GALI and CFM, ICF biopsychosocial approach, makes it

possible to compare the two sub-populations detected by these different

measures with those having a disability certificate, identified by the

medical approach.

Survey data will be disaggregated: - by status of disability

- by type of functioning limitations.

The control sample of students without disabilities is meant to highlight

persistent disparities and specific difficulties of children with disabilities

and their families, without taking into account disservices that affect all

families in equal measure.

Thank you for attention

Alessandra Battisti | [email protected]

Presentation, Cinzia Conti (Istat, Italy)

Languages and translations
English

GIVING CHILDREN AND YOUNG PEOPLE A VOICE The experience of the sample survey on children and young people in Italy

Geneva, 4 March 2024

Istat

CINZIA CONTI, LUCIANO FANFONI, GABRIELLA FAZZI

UNECE/UNICEF Expert Meeting

on Statistics on Children

1. Statistics on children: following the guidelines

“Countries should include children in regular

data collection, including child focused

surveys, to ensure that the main national

statistical reports highlight the situation and

needs of child and youth in all relevant

policy areas”

2

Statistics on children. Spotlight on children exposed to

violence, in alternative care, and with disabilities

UNECE, 2022, p.19

Field period: from 2 October to 20 December 2023

Target: a statistically representative sample of residents aged between

11 and 19 years (Italian and foreign citizens)

Method: online questionnaire planned to minimize the statistical burden for young respondents and designed to be comfortably filled out even on a smartphone.

Response: approximately 40 thousand residents directly interviewed

Large sample: information about the 5 most numerous citizenships

Dissagregation by sex, age, migration status, educational level,

geographic location, etc.

The survey on Behaviours, attitudes and future plans of children and young people

3

The voice of children

4

“Article 12 of the United Nations Convention on the

Rights of the Child states that children have the right

to express views freely in all matters affecting them

and that the views of the child must be given due

weight in accordance with their age and maturity.

Efforts should therefore be made to include children

in data collection activities and to ensure that their

voices are reflected in statistics” (Unece, 2021, p.81)

The voice of children

5

o Information about different dimensions of young people’s

everyday life: school life, social relationships, use of social

networks, leisure time, sport, future projects, etc…

o Vulnerabilities such as bullying, cyberbullying and educational

poverty.

o Efforts to use a simply and clear language

Innovations

6

For the first time, a QR code for direct and personalized access

to the questionnaire was experimented

Two access modes:

A. Using the link https://survey.istat.it/ragazzi,

and entering the access code

B. Scanning the QR code, without the need to

enter the code access

Ethical issues

7

o Questionnaire - completion

time: 23 minutes

o Longer for respondents that

used a PC

o Informed consent of the

parents

o Special attention to layout and

readability of informative

letters

Ethical issues

8

o Proxy respondents not

allowed (only in cases of

disabilities).

o Privacy and confidentiality:

high protection

o Long process with the Italian

Data Protection Authority

2. Statistics on children: following the guidelines

“Specialized methods may be required to

target and include the most vulnerable

groups of children including very young

children. In general, data should capture the

children most at risk of social exclusion….”

9

Statistics on children. Spotlight on children exposed to

violence, in alternative care, and with disabilities

UNECE, 2022, p.19

Innovations: the target of foreigners

10

o Informative letter available

in 11 languages: Albanian,

Arabic, Chinese, French,

English, Italian, Romanian,

Russian, Slovenian, Spanish

and German

o Questionnaire translated into

9 other languages.

Innovations: the target of foreigners

11

Questionnaires filled out by foreigners in languages other than Italian (absolute numbers)

12

Access by PC or smartphone/tablet (percentages)

13

3. Statistics on children: following the guidelines

“Increase and promote the visibility of data on

children and youth through: (….) The development

of user-friendly approaches to disseminating data on

and to children and youth, including the use of

interactive platforms, infographics, videos, and

social media. Children and youth should be

consulted on the design of dissemination products

aimed at them”

14

Statistics on children

Spotlight on children exposed to violence, in alternative

care, and with disabilities,

UNECE, 2022, p.19

Innovations: a special communication campaign

15

✓ Using social networks to raise awareness and encourage

participation in the survey

✓ Stressing out the importance of hearing their voice!

4. Statistics on children: following the guidelines

“Further work in required to promote a structured

collaboration between international organizations

producing statistics on children and youth to

harmonize methods, increase efficiencies, identify

data gaps to be addressed at national and

international levels, and recognize collaborative

opportunities.”

16

Statistics on children

Spotlight on children exposed to violence, in

alternative care, and with disabilities,

UNECE, 2022, p.19

oThe survey has been supported by other institutions: Ministry of

Labour and Social Policy and the Department for youth policy (on

their websites and using their mailing lists)

oThe same strategies for data dissemination

Cooperation

17

Thank you!

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, Valeria de Martino (Italy)

Languages and translations
English

NEW ESTIMATION METHODOLOGY OF ABSOLUTE POVERTY IN ITALY: A GOOD EXAMPLE OF INTEGRATED USE OF DIFFERENT DATA SOURCES

2023, 28-29 November

UNECE Expert Group meeting on Measuring Poverty and Inequality

Valeria de Martino, Istat (Italy)

Ilaria Arigoni, Istat (Italy)

Alessandro Brunetti, Istat (Italy)

Andrea Cutillo, Istat (Italy)

Federico Di Leo, Istat (Italy)

Cristina Freguja, Istat (Italy)

Federico Polidoro, World Bank (Italy)

o Absolute poverty: definition, data sources, theoretical assumptions

o The methodological revision in 2022

o The absolute poverty basket and its components

o Annual revaluation and revalorization of absolute poverty thresholds

o Official poverty estimates: 2005 and 2022 methodology

o Conclusions

Index

2 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Absolute poverty is the economic condition of inability to purchase a given set of goods and services.

Since 2005, Istat calculates different absolute poverty thresholds defined, in general, as the monetary

value, at current prices, of a fixed basket of goods and services considered essential for each household

(according to the number and age of its members, geographical area of residence and municipality

demographic size) to attain the minimum acceptable standard of living to avoid serious forms of social

exclusion.

Absolute poverty is defined regardless of the average living standard of the reference population.

Households with a monthly consumption expenditure equal to or less than the value of their absolute

poverty threshold are classified as absolutely poor.

The official estimate of absolute poverty in Italy

3 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

The italian Household Budget Survey is the informative base for the official poverty estimates in

Italy (both relative and absolute).

Both relative and absolute poverty are defined at the household level under the implicit hypothesis

that resources are equally distributed among household members.

Individuals living in poor households are poor, under the hypothesis that all household members

have the same chance of accessing household economic resources.

Official poverty estimates: data sources and theoretical assumptions

4 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Main absolute poverty basket components

5

Food

component

Housing component

(rent, electricity, heating ad

durable goods)

Residual component

Basket components

(as defined in 2005 and

confirmed in 2022)

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

In 2005, Istat main work was oriented to:

o identify individual and household essential requirements in terms of goods and services to be included

into the absolute poverty basket and sources for evaluating their costs;

o define the minimum value of economic resources necessary to purchase the absolute poverty basket;

o define the annual revaluation of the threshold over time

Basic needs are considered homogeneous across the country.

Costs to meet basic needs may differ in different geographical areas of the country, since they reflect

variability of prices of goods and services in the basket.

Individual needs have been defined at household level; they have been aggregated according to

demographic characteristics of individuals (age) and taking into account both potential economies of scale and

saving forms when purchasing that can be realized in different household typologies.

Essential requirements: theoretical assumptions

6

o adequate nutrition

o availability of a dwelling of adequate size according to household size and equipped with heating and

main services, durable goods and accessories

o minimum necessary to furnish and maintain housing, dress, communicate, inform oneself, move about

the area, educate oneself and maintain good health

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Essential requirements refer to the idea of acceptable minimum standard of living, defined as:

7

In 2021 a national inter-Institutional study Committee, chaired by the President of Istat and with the

participation of representatives of the Academia, Bank of Italy and experts from various government bodies,

was built up to revise and update the methodology for estimating absolute poverty, taking into account

innovations introduced in the IT-HBS in 2022 (that is, the most recent version of COICOP Classification

(COICOP 2018)) and the new populations released on the basis of the results of the Istat Permanent

Population Census.

The Committee validated the overall methodological framework (in terms of: main theoretical assumptions

and basket components) but introduced:

o some methodological changes in the estimation of the three sub-components of the reference basket

(i.e., food, housing, residual) and in the annual revaluation of the basket;

o the use of new available data sources in the estimating methodology.

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

According to the new estimation methodology, the absolute poverty thresholds vary by size (number)

and composition (age group) of the household (as in the past), region of residence (by geographical areas, in

2005 methodology) and demographic size of the municipality of residence (as in the past).

The methodological revision 2022

Needs

It is an additive component, based on the nutritional needs of the individual, identified as those officially

synthesized in Recommended Nutrient Intake Levels (RNIL); these requirements vary by age group.

Based on the food consumption of resident households (source: Council for Agricultural Research and

Economics), 96 products were identified as the types of food needed to build the appropriate food diets

according to the new RNIL (34 in 2005 methodology).

The quantities in grams of each product was reshaped following the new nutritional principles, resulting in a

balance of nutrients.

A matrix was defined in which the average grams of daily needs were reported for each food and for each age

group, up to the calculation of a standard diet in grams, following the dictates of the new guidelines. This

operation allowed the new nutritional requirements to be met.

The age groups considered in the calculation of the appropriate food diets were 7 (6 in 2005 methodology).

Comparisons of the average grams by food groups in 2005 and 2022, together with the comparison of

portions, needs and energy intake, recommended to limit the portions of meat, cereals, fruits, potatoes and

vegetables, in favour of dairy products, legumes, eggs.

These differences are remarkable for younger (minor) and older age groups (65+).

Food component

8 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Monetary evaluation

33 foods were priced using the traditional source of the Survey on consumer prices, that is traditional price

collection.

These include: fresh products such as fruits, vegetables, meat and foods usually sold in packages of variable

weight, such as dairy products.

63 foods were priced using the new source of the Survey on consumer prices, that is scanner data.

These include mostly packaged products.

Scanner data is a wide source with greater coverage of the stores (both from the point of view of channels and

the number of outlets (about 4.000)) and offers granular information about the products actually sold.

The minimum price obtained for each food is at regional level.

Food component/2

9 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

In order to take into account household composition, the final value

of the household food component is obtained by applying to the

value of the additive food component some multiplicative

coefficients that synthesize the effect of the forms of savings/not

savings when purchase.

In 2022 the general system followed for the calculation of savings is

similar to that adopted for the previous version, but the phenomenon

has been studied more in depth.

The coefficients have been reformulated through the processing of

survey data, taking advantage of the availability of a wider database.

Variables have been used to exclude households that would have

made the analysis less accurate (for examples, households receiving

important help from relatives or friends).

Saving scales (Food component)

10 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Household

components Coefficient

2022

1 1.504

2 1.162

3 1.000

4 0.899

5 0.827

6 0.773

7 0.730

11

The rent component

Needs for rent component (no changes in 2022)

Adequate size of the dwelling according to the household size, as defined by the Ministry of Health Decree of

July 5, 1975 as a parameter for housing concessions (i.e. for household of 1 person 32.5 sqm, until

household of 4 people). Additional 10 squared meters for each additional member.

Monetary evaluation

In 2005, the monetary value of the rent component was obtained through a nonlinear regression model

estimated on HBS data.

In 2022, the monetary value of the rent component is estimated exogenously through an external census

database (the Real Estate Lease Database - the database of rental contracts provided by the Italian

Tax Office). The rent is calculated as the median value of the cells obtained through stratification given by

region, type of municipality and size class of the dwelling.

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Needs for electrical energy component

In 2005, methodological choices were based on a study concerning the requirements regulation prepared in

1993 by the Electricity and Gas Authority; that study was not replicated again.

In 2022, the electrical energy component includes expenditures on hot water production and cooking gas

(considered with heating in 2005); it has been estimated through a model on HBS data. The model is calculated

excluding households with high electrical energy expenditure identified by the possession of energy-intensive

household appliances.

Monetary evaluation

In 2005, the value of the electrical energy component was obtained using national electricity tariffs.

In 2022, the value of the electrical energy component is estimated through a model for the base year 2019. The

model relates household expenditure on electrical energy to household characteristics: number of members for

each age group, geographical area of residence, municipality demographic size and dwelling size.

The electrical energy component

12 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Needs

In 2005, needs were not defined.

In 2022, we refer to European standard UNI-EN 15251, that states the temperature threshold for minimum

acceptable comfort (following WHO guidelines). The unit heating demand in terms of physical energy is

expressed as Kwh per square meter for 140 types of buildings.

Monetary evaluation

In 2005, the value of the heating component was obtained through a linear regression model estimated on

household expenditure on all heating fuels for households living in a dwelling with a self-contained heating

system.

In 2022, starting from the needs, the value of the heating component is obtained applying unit prices from the

integrated database Istat-Regulatory Authority for Energy, Networks and Environment.

The heating component

13 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Needs

They include washing machine, fridge, television and built-in oven (in 2005, non electrical stoves).

Monetary evaluation

The value of the durable goods component is obtained as the sum of the “depreciated values” of each good

considered: the depreciation rate is calculated as the ratio between the minimum price of the good and its

duration (10 years for television and fridge, 15 years for the other goods).

The prices considered are the minimum prices applied in 2022 in four geographical areas: North-West, North-

East, Centre, Southern regions (in 2005, 3: North, Centre, Southern regions).

The durable goods component

14 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

15

The residual component of the absolute poverty basket aims to estimate the minimum necessary «to furnish

and maintain housing, dress, communicate, inform oneself, move about the area, educate oneself and

maintain good health».

Needs

The goods and services to be included in the residual component take into account the needs and behaviors

of households without defining specific quantities. The major changes included in 2022 are:

o introduction of expenditures on fees, tuition and textbooks for public secondary school and expenditures

on textbooks for middle school;

o exclusion of specific expenditures such as lotto and other games with cash winnings and exclusion of

expenditures that are now outdated.

Monetary evaluation

The value of the residual component is obtained as a function of the monetary value of the food basket to

which multiplicative coefficients are applied (these are estimated on the basis of the observed association

between residual expenditure and food expenditure in the HBS also taking into account household structure).

The residual component

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

16

In the process of methodological revision started in 2022, the linear regression model for estimating

coefficients was updated, with particular reference to:

o the basket of goods and services that make up residual expenditure;

o the number of age groups considered, that increased from 6 to 7, in analogy with the food component.

Moreover, the revised linear regression model now provides the estimate of the intercept.

To properly consider the different characteristics of residual goods, the food basket used to estimate the

monetary value of the residual component was "adjusted", that is obtained as the sum of:

o monetary value of the "scaled-up" food basket weighted by the weight of nondurable goods on residual

expenditure (18.6%), all included in grocery, and that is the set of non-food goods sold at the large-scale

retail trade;

o monetary value of the additive food basket weighted by the weight of all other goods and services on the

residual expenditure (81.4%).

As for the food component, the value of the residual component is estimated is at the regional level (in

2005, by geographical area).

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

The residual component/2

Annual revaluation and revalorization of absolute poverty thresholds

17 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Since 2022, all the basket components of the absolute poverty basket are annually revaluated

using specific consumer price indices calculated mainly at regional level.

The annual revaluation of food component is carried out with regional consumer price

indices calculated by homogeneous food groups: this enables to take into account in detail the

consumer prices trend.

The revalorization of all the basket components will be carried out every 5 years.

Official poverty estimates: 2005 and 2022 methodology

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-2918

Indicator

Geographical area Italy

North Centre Southern regions

2021 2005

meth.

2021 2022

meth.

2022 2021 2005

meth.

2021 2022

meth.

2022 2021 2005

meth.

2021 2022

meth.

2022 2021 2005

meth.

2021 2022

meth.

2022

Poor households (abs. v.) 835 861 939 299 318 342 826 843 906 1,960 2,022 2,187

Poor individuals (abs. v.) 2,255 2,107 2,298 861 857 874 2,455 2,353 2,502 5,571 5,317 5,674

Poor household incidence (%) 6.7 6.9 7.5 5.6 6 6.4 10 10.1 10.7 7.5 7.7 8.3

Poor individuals incidence (%) 8.2 7.7 8.5 7.3 7.3 7.5 12.1 11.8 12.7 9.4 9.1 9.7

Absolute poverty intensity (%) 18.1 17.3 17.6 17.3 18.2 17.1 19.9 20.7 19.3 18.7 18.9 18.2

ABSOLUTE POVERTY: KEY FIGURES

Year 2021 - 2005 methodology and years 2021&2022 – 2022 methodology (absolute values in thousands of

units and percentage values)

For further details: https://www.istat.it/it/archivio/289724

Conclusions

19 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

The integrated use of different data sources allowed the new methodology to benefit from two

major improvements in the estimation of absolute poverty thresholds:

o more exogenous thresholds

in the 2005 methodology, 61.1% of the "average" threshold was obtained from endogenous

sources and 38.9% from exogenous sources; under the 2022 methodology, 26.9% is

endogenous and 73.1% exogenous;

o thresholds with a finer territorial breakdown

in the 2005 methodology, the prevailing territorial reference was the 3 geographical areas

(North, Centre, Southern regions) (65,5%); under the 2022 methodology, it is the region

(88,9%).

According to the new estimation methodology, the absolute poverty thresholds vary by

(number) and composition (age group) of the household, region of residence and demographic size

of the municipality of residence.

  • Slide 1: New estimation methodology of absolute poverty in Italy: a good example of integrated use of different data sources
  • Slide 2: Index
  • Slide 3: The official estimate of absolute poverty in Italy
  • Slide 4: Official poverty estimates: data sources and theoretical assumptions
  • Slide 5: Main absolute poverty basket components
  • Slide 6: Essential requirements: theoretical assumptions
  • Slide 7: The methodological revision 2022
  • Slide 8: Food component
  • Slide 9: Food component/2
  • Slide 10: Saving scales (Food component)
  • Slide 11: The rent component
  • Slide 12: The electrical energy component
  • Slide 13: The heating component
  • Slide 14: The durable goods component
  • Slide 15: The residual component
  • Slide 16: The residual component/2
  • Slide 17: Annual revaluation and revalorization of absolute poverty thresholds
  • Slide 18: Official poverty estimates: 2005 and 2022 methodology
  • Slide 19: Conclusions
  • Slide 20: Thank you
Russian

НОВАЯ МЕТОДОЛОГИЯ ОЦЕНКИ АБСОЛЮТНОЙ БЕДНОСТИ В ИТАЛИИ: ХОРОШИЙ ПРИМЕР ИНТЕГРИРОВАННОГО ИСПОЛЬЗОВАНИЯ РАЗНЫХ ИСТОЧНИКОВ ДАННЫХ

2023, 28-29 ноября

Совещание группы экспертов ЕЭК ООН по измерению бедности и неравенства

Valeria de Martino, Istat (Italy)

Ilaria Arigoni, Istat (Italy)

Alessandro Brunetti, Istat (Italy)

Andrea Cutillo, Istat (Italy)

Federico Di Leo, Istat (Italy)

Cristina Freguja, Istat (Italy)

Federico Polidoro, World Bank (Italy)

o Абсолютная бедность: определение, источники данных, теоретические предположения

o Пересмотр методологии в 2022г

o Корзина абсолютной бедности и ее компоненты

o Ежегодная переоценка порогов абсолютной бедности

o Официальная оценка бедности: методологии 2005г и 2022г

o Заключение

Содержание

2 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Абсолютная бедность это экономическое состояние неспособности приобрести заданый набор

товаров и услуг.

С 2005г, ИСТАТ расчитал разные пороги абсолютной бедности, определенные в целом как денежное

значение согласно текущим ценам фиксированной корзины товаров и услуг, считаемых

необходимыми для каждого домохозяйства (согласно количеству и возрасту его членов,

географической области проживания и демографическим размерам муниципалитета) для

достижения минимально приемлемого качества жизни в целях избежания серьезных форм

социальной изоляции.

Абсолютная бедность определяется в независимости от среднего уровня качества жизни

референтного населения.

Домохозяйство, чьи ежемесячные потребительские расходы равны или ниже значения порога

абсолютной бедности, классифицируется как абсолютно бедное.

Официальная оценка абсолютной бедности в Италии

3 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Итальянское Обследование бюджета домохозяйств это информативная база

официальных оценок бедности в Италии (относительной и абсолютной).

Как относительная так и абсолютная бедность определяются на уровне домашнего хозяйства

в рамках подразумеваемой гипетезы, что ресурсы равномерно распределяются среди

всех членов домохозяйства.

Физлица проживающие в бедных домохозяйствах являются бедными, в рамках гипотезы, что

все члены домохозяйства имеют равные шансы доступа к экономическим ресурсам

домохозяйства.

Официальная оценка бедности: источники данных и теоретические предположения

4 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Основные компоненты корзины абсолютной бедности

5

Продовольс-

твенный

компонент

Компонент жилья

(аренда, электричесто,

отопление, товары

длительного пользования)

Остаточный компонент

Компоненты корзины

(как определено в 2005г

и подтверждено в 2022г)

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

В 2005г основная работа ИСТАТ была ориентирована на:

o Определение незаменимых потребностей индивидуальных и домохозяйства, относящихся к

товарам и услугам, которые должны быть включены в корзину абсолютной бедности, и источников

для оценки их стоимости;

o Определение минимального значения экономических ресурсов, необходимых для приобретения

корзины абсолютной бедности;

o Определить ежегодный пересмотр порога

Базовые потребоности считаются однообразными по всей стране.

Стоимость базовых потребностей может отличаться в разных географических областях страны,

поскольку они отражают разнообразные цены на товары и услуги в корзине.

Индивидуальные потребности определены на уровне домохозяйства; они агрегированы в

соответствии с демографическими характеристиками физлиц (возраст) и учитывают потенциальную

экономию от масштаба и формы экономии при приобретении того, что может быть реализовано в других

типологиях домохозяйств.

Незаменимые потребности: теоретические предположения

6

o Полноценное питание

o Наличие жилья подходящего размера, оборудованного отоплением и базовыми услугами,

товарами длительного пользования и приборами

o Минимально необходимое для обстановки дома, одежды, коммуникации, информирования,

передвижения по району, образования и поддержания крепкого здоровья

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Незаменимые потребности имеют отношение к идее приемлемого минимального качества жизни,

определенного как:

7

В 2021г была создана Национальный межинституциональный исследовательский комитет, под

председательством президанта ИСТАТ и при участии представителей научных кругов, Банка Италии и

экспертов из разных государственных учереждений, в целях пересмотра и обновления методологии

оценки абсолютной бедности, учитывая инновации представленные на IT-HBS в 2022г (новейшая

версия КИПЦ (COICOP 2018)) и новые группы населения, установленные на основании результатов

постоянной переписи населения ИСТАТ.

Комитет утвердил общие методологические рамки (в отношении: главных теоретических

предположений и компонентов корзины) а также представил:

o Некоторые методологические изменения в оценке трех суб-компонентов референтной корзины

(т.е. Продовольствие, жилье, остаточный компонент) а также в годовом пересмотре корзины;

o Использование новых источников данных в оценочной методологии.

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

В соответствии с новой оценочной методологией, пороги абсолютной бедности варьируются по

размеру (количество) и составу (возрастная группа) домохозяйства (как и раньше), региону

проживания (по географическим районам, в методологии 2005г) и демографическому размеру

муниципалитета проживания (как и раньше).

Пересмотр методологии в 2022г

Потребности

Это компонент добавочного питания, основанный на потребностях людей в питательных веществах,

которые определены как официально включенные в Рекомендации по потреблению питательных

веществ (RNIL); эти требования варьируются в зависимости от возрастной группы.

На основании потребления пищи членами домохозяйства (источник: Совет по сельскохозяйственным

исследованиям и экономике), были определены 96 продуктов питания как необходимые для

формирования подходящей диеты в соответствии с новыми RNIL (34 в методологии 2005г).

Было пересмотрено и количество каждого продукта в граммах, следуя рекомендациям для создания

сбалансированного питания.

Определена матрица, где по каждому продукту и каждой возрастной группе указано ежедневное

среднее количество грамм для расчета стандартной диеты в граммах. Это позволило соответствовать

новым требованиям к питанию.

Для расчета соответствующей диеты рассматривались 7 возрастных групп (6 в методлогии 2005г).

В результате сравнения среднего количества грамм по группам продуктов в 2005г и 2022г, а также

сравнение порций, потребностей и потребляемых каллорий, было рекомендовано ограничить порции

мяса, круп, фруктов, картофеля и овощей в пользу молочных продуктов, бобовых и яиц.

Эти различия хорошо отражаются на молодых и пожилых возрастных группах (65+).

Компонент продовольствия

8

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Денежная оценка

33 продуктам питания была присвоена цена, используя традиционный источник – Обследование

потребительских цен, традиционный сбор информации о ценах.

Сюда вошли: свежие продукты, такие как фрукты, овощи, мясо и продукты, которые обычно продаются в

упаковке различного веса, например молочные продукты.

63 продуктам питания была присвоена цена, используя новый источник – Обследование

потребительских цен, данные сканирования.

Сюда вошли в основном запакованные продукты.

Данные сканирования это обширный источник с большим охватом магазинов (с точки зрения и каналов

и количества филиалов (около 4000)), который предлагает подробную информацию о продаваемых

продуктах.

Данные о минимальных ценах по каждому продукту питания собираются на региональном уровне.

Компонент продовольствия /2

9 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Чтобы учесть состав домохозяйства, финальная стоимость

продовольственного компонента домохозяйства получается

путем умножения стоимости дополнительных продуктов на

коэффициенты, которые дают эффект от форм экономии/не

экономии при покупке.

В 2022г были применены расчеты экономии похожие на те,

которые применялись в предыдущей версии, но этот феномен

был более глубоко изучен.

Коэффициенты были снова сформулированы в процессе

обработки данных обследования с учетом более обширной базы

данных.

Использовались переменные, чтобы исключить домохозяйства,

где этот анализ невозможно было провести точно (например,

домохозяйства получающие значительную помощь от друзей или

родственников).

Шкала экономии (Продовольственный компонент)

10 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Компоненты

домохозяйства

коэффици

ент

2022

1 1.504

2 1.162

3 1.000

4 0.899

5 0.827

6 0.773

7 0.730

11

Компонент аренды

Необходимость в компоненте аренды (в 2022г нет изменений)

Жилье подходящих размеров для домохозяйства, как это определено распоряжением Министерства

здравоохранения от 5 июля 1975 года, должно соответствовать параметрам совместного проживания

(например, на каждого члена домохозяйства, состоящего от одного до четырех человек, полагается по

32,5 кв.м.). На каждого дополнительного члена домохозяйства полагается еще по 10 кв.м.

Денежная оценка

В 2005г, денежная оценка компонента аренды была получена с помощью нелинейной регрессии,

расчитанной по данным ОБД.

В 2022г, денежное значение компонента аренды было оценено по данным извне, а конкретно из Базы

данных аренды недвижимости – база данных договоров об аренде, предоставленных

Итальянской налоговой службой. Аренда расчитывается как медианное значение единиц,

полученное путем стратификации по регионам, видам муниципалитета и размерам жилья.

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Необходимость в компоненте электроэнергии

В 2005г выбор методологии основывался на изучении регуляторных требований, подготовленных в 1993

году Учереждением по электричеству и газу.

В 2022г компонент электроэнергии включает расходы на горячее водоснабжение и газ для

приготовления пищи (рассматривался для отопления в 2005г) и был определен по данным ОБД. В

оценку не вошли домохозяйства с высоким потребление электроэнергии ввиду наличия энергоемкой

бытовой техники.

Денежная оценка

В 2005г значение компонента электроэнергии было получено по данным национальных тарифов на

электроэнергию.

В 2022г значение компонента электроэнергии было расчитано по модели, где за базовый был принят

2019г. Данная модель учитывает расходы домохозяйства на электроэнергию в соответствии с

количеством членов в каждой возрастной группе, географическим районом проживания,

демографичеким размером муниципалитета и размером жилья.

Компонент электроэнергии

12 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Потребности

В 2005г потребности еще не были определены.

В 2022г мы обратились к Европейскому стандарту UNI-EN 15251, который устанавливает

температурный порог для минимально приемлемого комфортного проживания (в соответствии с

руководствами ВОЗ). Потребности единицы жилья выражены в Квч/кв.м. для 140 типов зданий.

Денежная оценка

В 2005г значение компонента отопления было получено с помощью линейной регрессии, расчитанной

на основании данных о расходах домохозяйства на топливо для отопления для домохозяйств,

проживающих в жилье с собственной системой отопления.

В 2022г значение компонента отопления получалось на основании цен из интегрированной базы данных

ИСТАТ Регулятора энергии, сетей и окружающей среды.

Компонент отопления

13 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Потребности

Сюда входят стиральная машина, холодильник, телевизор и встроенная плита (в 2005г не электроплита)

Денежная оценка

Значение товаров длительного пользования получено из суммы аммортизированной стоимости каждого

рассматриваемого товара: уровень аммортизации расчитывается как соотношение минимальной

стоимости товара и его срока длительности (10 лет для телевизора и холодильника, 15 лет – для

остальных товаров).

Рассматривались минимальные цены в 2022г в четырех географических областях: Северо-запад,

Северо-восток, Центр и Южные регионы (в 2005г в трех: Север, Центр и Южные регионы)

Компонент товаров длительного пользования

14 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

15

Остаточный компонент корзины абсолютной бедности оценивает минимум, необходимый для

«обстановки и обслуживания жилья, одежды, коммуникации, информирования, передвижения по

району, образования и поддержания крепкого здоровья».

Потребности

Товары и услуги включенные в остаточный компонент учитывают поведенческие потребости

домохозяйства, не определяя конкретные количества. Основные изменения 2022 года:

o Включение в список оплаты за обучение, стоимости учебников в государственных начальных

школах, расходов на учебники в средних школах;

o Исключение некоторых расходов, как например на лотто и другие азартные игры, а также других

устаревших расходов.

Денежная оценка

Значение остаточного компонента получено как функция денежного значения продуктовой корзины с

применением к ней коэффициентов множения (они расчитаны на основании выявленной связи между

остаточными расхода и расходами на продукты питания в рамках ОБД с учетом структуры

домохозяйства).

Остаточный компонент

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

16

В процессе пересмотра методологии, начатого в 2022г, модель линейной регрессии для расчета

коэффициентов была обновлена, конкретно в отношении:

o Корзины товаров и услуг, которые входят в остаточные расходы;

o Количества возрастных групп, которое возросло с 6 до 7, по аналогии с компонентом

продовольствия.

Более того, пересмотренная модель линейной регрессии теперь предоставляет расчет свободного

коэффициента.

Для правильного рассмотрения разных характеристик остаточных товаров, продуктовая корзина,

используемая для подсчета денежных значений остаточного компонента была

«скорректирована», что получается как производное от:

o Денежное значение «увеличенной» продуктовой корзины, взвешенное согласно весу товаров

длительного значения в остаточных расходах (18.6%), что включено в продукты питания, и таким

образом получаем набор непродуктовых товаров, продаваемых в крупных розничных магазинах;

o Денежное значение дополнительной продуктовой корзины, взвешенное согласно весу всех

остальных товаров и услуг и остаточных расходах (81.4%).

Что касается продовольственного компонента, значение остаточного компонента расчитывается на

региональном уровне (в 2005г по географическим районам). UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Остаточный компонент /2

Ежегодная переоценка порогов абсолютной бедности

17 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

С 2022г все компоненты корзины абсолютной бедности ежегодно переоценивается с

использованием специальных индексов потребительских цен, расчитываемых в

основном на региональном уровне.

Ежегодная переоценка продуктового компонента проводится с помощью региональных

индексов потребительских цен, расчитанных по однородным продуктовым группам:

это позволяет учитывать тенденции в потребительских ценах.

Присвоение новых цен всем компонентам корзины происходит раз в 5 лет.

Официальная оценка бедности: по методологии 2005 и 2022 гг

UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-2918

Показатель

Географический регион Италия

Север Центр Южные регионы

2021 2005

meth.

2021 2022

meth.

2022 2021 2005

meth.

2021 2022

meth.

2022 2021 2005

meth.

2021 2022

meth.

2022 2021 2005

meth.

2021 2022

meth.

2022

Бедное домохозяйство (abs.

v.) 835 861 939 299 318 342 826 843 906 1,960 2,022 2,187

Бедные люди (abs. v.) 2,255 2,107 2,298 861 857 874 2,455 2,353 2,502 5,571 5,317 5,674

Распространенность бедных

домохозяйств (%) 6.7 6.9 7.5 5.6 6 6.4 10 10.1 10.7 7.5 7.7 8.3

Распространенность бедных

людей (%) 8.2 7.7 8.5 7.3 7.3 7.5 12.1 11.8 12.7 9.4 9.1 9.7

Интенсивность абсолютной

бедности (%) 18.1 17.3 17.6 17.3 18.2 17.1 19.9 20.7 19.3 18.7 18.9 18.2

АБСОЛЮТНАЯ БЕДНОСТЬ: КЛЮЧЕВЫЕ ПОКАЗАТЕЛИ

2021г - 2005 методология и 2021&2022гг – 2022 методология (абсолютные значения в тысячах едениц и

процентах)

За более подробной информацией обратитесь на https://www.istat.it/it/archivio/289724

Заключение

19 UNECE EXPERT GROUP MEETING ON MEASURING POVERTY AND INEQUALITY – 2023, NOVEMBER 28-29

Интегрированное использование разных источников данных позволило новой

методологии воспользоваться преимуществом двух крупных изменений в расчете порогов

абсолютной бедности:

o Пороги на основании внешних данных

В методологии 2005г 61.1% «среднего» порога получалось из внутренних источников, а

38.9% - из внешних; по методологии 2022г 26.9% получается из внутренних, а 73.1% - из

внешних;

o Пороги с более мелкой территориальной разбивкой

В методологии 2005г референтными территориями были три географических региона

(Север, Центр и Южные регионы) (65,5%); по методологии 2022г - 88,9%.

Согласно новой оценочной методологии, пороги абсолютной бедности варьируются по

количеству и составу возрастных групп домохозяйства, региона проживания и

демографическому размеру муниципалитета проживания.

  • Slide 1: НОВАЯ МЕТОДОЛОГИЯ ОЦЕНКИ АБСОЛЮТНОЙ БЕДНОСТИ В ИТАЛИИ: ХОРОШИЙ ПРИМЕР ИНТЕГРИРОВАННОГО ИСПОЛЬЗОВАНИЯ РАЗНЫХ ИСТОЧНИКОВ ДАННЫХ
  • Slide 2: Содержание
  • Slide 3: Официальная оценка абсолютной бедности в Италии
  • Slide 4: Официальная оценка бедности: источники данных и теоретические предположения
  • Slide 5: Основные компоненты корзины абсолютной бедности
  • Slide 6: Незаменимые потребности: теоретические предположения
  • Slide 7: Пересмотр методологии в 2022г
  • Slide 8: Компонент продовольствия
  • Slide 9: Компонент продовольствия /2
  • Slide 10: Шкала экономии (Продовольственный компонент)
  • Slide 11: Компонент аренды
  • Slide 12: Компонент электроэнергии
  • Slide 13: Компонент отопления
  • Slide 14: Компонент товаров длительного пользования
  • Slide 15: Остаточный компонент
  • Slide 16: Остаточный компонент /2
  • Slide 17: Ежегодная переоценка порогов абсолютной бедности
  • Slide 18: Официальная оценка бедности: по методологии 2005 и 2022 гг
  • Slide 19: Заключение
  • Slide 20: Спасибо!

JQ2022ITA

JFSQ2022 Country Replies Italy

Languages and translations
English

Guidelines

Dear Correspondent, Thank you for contributing to the Joint Forest Sector Questionnaire (JFSQ). Before filling in the worksheets, please read these guidelines. Please use only this questionnaire to report your data. Use this questionnaire also to revise any historical data - fill in the correct year and your name on the cover page. The total number of sheets to be filled in is seven core sheets (green tabs - to be validated by Eurostat) plus three for ITTO (brown tabs - not validated by Eurostat). Four sheets containing cross-references are included at the end. The flat file is for Eurostat for validation purposes, please do not change any cells here. Also, please do not add / delete rows in any of the sheets, because this will affect the functioning of the flatfile. Put all your data into one Excel file. If you send some data in later, give your file a new version number and date (see A.1. below) and notify us of the changes with respect to the previous version. Only send us completely filled-in sheets, highlighting the changes in yellow. Do not delete worksheets. Each sheet has a working area for your input. Most sheets have checking cells and tables. Each working area has white cells and shaded green cells. Eurostat has highlighted the variables it considers most important for its publications - please fill those in as a priority. When you submit a revision, please highlight changes in yellow and explain them in the appropriate 'Note' column, but please fill in all the cells that were filled in previously. Please use flags and notes (see A.6 below). This information is important for Eurostat. A. General recommendations A.1 Please use eDAMIS to send your questionnaire to Eurostat. Choose the correct domain ("FOREST_A_A") and the correct reference year (for this data collection: 2022). A.2 Fill in the JFSQ quality report each year. A.3 The cover page is for your contact details, which are automatically copied to the other worksheets • Check your country code • If necessary change the reference year as appropriate - the previous year will appear automatically If you distribute worksheets to various experts, they can each put their contact details into the sheets. It will then be your job to put all the information together again and to verify the checking tables, since some of them will not work as designed in isolation. A.4 Look at the unit of measurement to be used for each item and report in this unit if possible, using the conversion factors on the last page of the JFSQ definitions. Please report the monetary values in the same unit for both reporting years. Only report data or modify cells in the working areas. Please do not delete checking areas or checking sheets. • Look at the checking areas and make the necessary corrections to your data to remove all warnings (see the specific recommendations) before sending in your data. Fill in real zeros '0' in the worksheets if there is no production or trade. Empty cells will be interpreted as 'Data not available'. • There are counters at the bottom of the tables to indicate the number of cells left to be filled in. Report all data with at least three decimals. Do not use a separator for thousands; for the decimal point, please use the one set up by default. A.5 Report numbers only. If data are confidential, please provide them if possible, appropriately flagged (see A.6). • Eurostat has a right to all confidential data necessary for its work. It has an obligation to use such data only in aggregates and to respect all the legal obligations. • If you cannot provide confidential data, a good option is to send in your own estimate flagged as a national estimate '9'. • As a last resort, leave the cell empty, flag it and write a note indicating data sources and links. Checking tables contain formulae to sum up the totals for sub-items. A.6 Flag cells and write notes as appropriate. Flags should be entered in the 'Flag' columns and notes in the 'Note' columns for the appropriate year and item. The flags to use are: • 3 for break in time series, see metadata (please explain in the notes and in the quality report the reasons) • 4 for definition differs, see metadata (please explain in the notes and in the quality report the reasons) • 5 for repeating the data of a previous year • 6 for confidential data • 7 for provisional data • 9 for national estimate B Specific recommendations B.1 Sheet 'Removals over bark' is for volumes of wood products measured over bark. General over bark/under bark conversion factors are calculated automatically. • Should you use different conversion factor(s) please delete the ones provided and insert your own • If you only have under bark data, please leave this worksheet empty, but revise the table with the conversion factors. • Unchanged conversion factors will be considered revised. A checking table verifies that sums of sub-items agree with the totals. B.2 Checking tables on worksheets improve data quality, verifying that: • The sum of the sub-items equals the total. • The sum of 'of which' items is not larger than the total. All cells in a checking table should be zero or empty. If this is not the case, please check your numbers for the sub-items and totals. The checking table indicates the difference, so if you see a negative value, you will have to decide which number should be increased by that amount. The only exception is when no data are entered due to confidentiality. B.3 Worksheets 'JQ2' contains a checking table for apparent consumption. Apparent consumption = Production + Imports – Exports. It should be positive or nil. If this is not the case, the cell will change colour and indicate the difference. • Please correct the data in the sheets until checking results are positive or nil. One solution is to increase production. • If the data are correct but apparent consumption is still negative, please explain why in the 'Note' column provided in the apparent consumption checking table. B.4 Sheets 'JQ2', 'ECE-EU Species' and 'EU1' on trade have checking tables to verify data consistency. Both quantity and value must be present. When something is missing, messages or coloured cells appear in the checking tables. Please correct your data until all warnings disappear. The meaning of the messages is: • 0: both value and quantity are zero – all is well, there is no trade • ZERO Q: value is reported, quantity is zero - please correct • ZERO V: quantity is reported, value is zero - please correct • REPORT: both quantity and value are blank - please fill in • NO Q: blank cell for quantity – please fill in • NO V: blank cell for value – please fill in Please enter even very small numbers to resolve problems, using as many decimal places as necessary. If there is no way to correct the problem, please write an explanation in the 'Note' column. If there is no trade for a product, please enter 0 for both quantity and value. Thank you for collecting data for the JFSQ, Eurostat's Forestry Team

JFSQ quality report

Joint Forest Sector Questionnaire Quality Report
Quality information Country reply
1 Contact
Country name Country name Italy
Contact organisation Contact organisation Istat and Ministry of Agricolture
Contact name Contact name
Contact email address Contact email address
2 Changes to previous year
Necessity of update Are there any changes to the quality report of the last data collection? NO
If yes, please provide details below.
3 Statistical processing
Overview of the source data Please provide an overview of the sources used to produce JFSQ data.
Do you use a dedicated survey (of the industry, of households, of forest owners, etc.)? Please select YES or NO
If yes, please provide details (e.g., who are the respondents, what is its frequency?).
Do you use forestry statistics? Please select YES or NO
If yes, please provide details.
Do you use national forest inventory? Please select YES or NO
If yes, please provide details.
Do you use national PRODCOM data compiled according to the CPA classification? Please select YES or NO
If yes, please provide details (which products, units, etc.).
Do you use any other national production statistics? Please select YES or NO
If yes, please provide details.
Do you use data collected by associations of industry? Please select YES or NO
If yes, please provide details.
Do you collect data from direct contacts with manufacturing companies? Please select YES or NO
If yes, please provide details.
Do you use estimates of roundwood use (in manufacturing)? Please select YES or NO
If yes, please provide details.
Do you use national trade data? Please select YES or NO
If yes, please provide details.
Do you use felling reports? Please select YES or NO
If yes, please provide details.
Do you use forestry companies' accounting network? Please select YES or NO
If yes, please provide details.
Do you use administrative data (e.g. tax records, business registers)? Please select YES or NO
If yes, please provide details.
Do you use data from national accounts? Please select YES or NO
If yes, please provide details (e.g. for which data, from which account tables?).
Do you use SBS (Structural business statistics)? Please select YES or NO
If yes, please provide details (e.g. for which data?).
Do you use other environmental accounts? Please select YES or NO
If yes, please provide details.
Do you use other statistics (e.g. agriculture statistics)? Please select YES or NO
If yes, please specify them.
Do you use any other sources? Please select YES or NO
If yes, please specify them.
Methodological issues Are there any pending classification or measurement issues? Please select YES or NO
If yes, please specify them.
Data validation Do you check the quality of the data collected to compile JFSQ? Please select YES or NO
If yes, please explain the quality assurance procedure.
Do you compare JFSQ data with different data sources or do you perform other cross-checks? Please select YES or NO
If yes, please explain your approach.
Do you have validation rules and other plausibility checks for the outputs of your JFSQ data compilation process? Please select YES or NO
If yes, please briefly describe them.
4 Relevance
User needs Please provide references to the relevance of JFSQ at national level e.g. main users, national indicator sets, quantitative policy targets etc.
5 Coherence and comparability
Coherence - cross domain Do you compare the JFSQ results with business, energy and agricultural and foreign trade statistics? Please select YES or NO
It not, please explain.
Do you cross-check the JFSQ data with the results of European Forest Accounts? Please select YES or NO
If yes, please indicate for which reporting items, and comments on the discrepancies observed, if any. It not, please explain.
Coherence - internal Are there any other consistency issues related to your JFSQ data? Please select YES or NO
If yes, please explain them.
6 Accessibility and clarity
Publications Do you disseminate JFSQ data nationally (e.g. in news releases or other documents)? Please select YES or NO
If yes, please provide URLs and/or the reference to the relevant publications.
Online database Do you publish your JFSQ accounts in an online data base? Please select YES or NO
If yes, please provide URLs.
Documentation on methodology Did you prepare a description of your national JFSQ methodology or metadata? Please select YES or NO
If yes, please provide URLs.
Quality documentation Do you have national quality documentation? Please select YES or NO
If yes, please provide URLs.
7 Other comments
Other comments Please provide any further feedback you might have on the quality of the reported data, sources and methods used and/or Eurostat's validation and quality report templates.

Cover

Joint Forest Sector Questionnaire
2022
DATA INPUT FILE
Correspondent country:
Reference year: 2022 Fill in the year
Name of person responsible for reply:
Official address (in full):
Telephone:
Fax:
E-mail:

Removals over bark

Country: 0 Date:
Name of Official responsible for reply: 0
Check Table
Official Address (in full):
0
FOREST SECTOR QUESTIONNAIRE
EU JQ1 OB Telephone: 0 0 Discrepancies
Removals E-mail: 0 Please verify, if there's an error!
Year 1 Year 2 Flag Flag Note Note
Product Product Unit 2021 2022 2021 2022 2021 2022 Product Product Unit 2021 2022
Code Quantity Quantity Code Quantity Quantity
ROUNDWOOD REMOVALS OVERBARK ROUNDWOOD REMOVALS OVERBARK
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ob OK OK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ob OK OK
1.1.C Coniferous 1000 m3ob 1.1.C Coniferous 1000 m3ob
1.1.NC Non-Coniferous 1000 m3ob 1.1.NC Non-Coniferous 1000 m3ob
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.C Coniferous 1000 m3ob 1.2.C Coniferous 1000 m3ob OK OK
1.2.NC Non-Coniferous 1000 m3ob 1.2.NC Non-Coniferous 1000 m3ob OK OK
1.2.NC.T of which: Tropical 1000 m3ob 1.2.NC.T of which: Tropical 1000 m3ob OK OK
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ob OK OK
1.2.1.C Coniferous 1000 m3ob 1.2.1.C Coniferous 1000 m3ob
1.2.1.NC Non-Coniferous 1000 m3ob 1.2.1.NC Non-Coniferous 1000 m3ob
1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob 1.2.2 PULPWOOD, ROUND AND SPLIT 1000 m3ob OK OK
1.2.2.C Coniferous 1000 m3ob 1.2.2.C Coniferous 1000 m3ob
1.2.2.NC Non-Coniferous 1000 m3ob 1.2.2.NC Non-Coniferous 1000 m3ob
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ob OK OK
1.2.3.C Coniferous 1000 m3ob 1.2.3.C Coniferous 1000 m3ob
1.2.3.NC Non-Coniferous 1000 m3ob 1.2.3.NC Non-Coniferous 1000 m3ob
To fill: 17 17
Product Product Unit 2021 2022
Code CF CF
OVERBARK/UNDERBARK CONVERSION FACTORS
1 ROUNDWOOD (WOOD IN THE ROUGH) m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.1.C Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.1.NC Non-Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2 INDUSTRIAL ROUNDWOOD m3/m3 1.100 1.100
1.2.C Coniferous m3/m3 1.200 1.200
1.2.NC Non-Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.NC.T of which: Tropical m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1 SAWLOGS AND VENEER LOGS m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1.C Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.1.NC Non-Coniferous m3/m3 1.100 1.100
1.2.2 PULPWOOD, ROUND AND SPLIT m3/m3 1.200 1.200
1.2.2.C Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.2.NC Non-Coniferous m3/m3 1.100 1.100
1.2.3 OTHER INDUSTRIAL ROUNDWOOD m3/m3 1.200 1.200
1.2.3.C Coniferous m3/m3 ERROR:#DIV/0! ERROR:#DIV/0!
1.2.3.NC Non-Coniferous m3/m3 1.100 1.100

JQ1 Production

Country: 0 Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ1 0
Industrial Roundwood Balance
PRIMARY PRODUCTS Telephone: 0 0 This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! Discrepancies
Removals and Production E-mail: 0 test for good numbers, missing number, bad number, negative number
Year 1 Year 2 Flag Flag Note Note
Product Product Unit 2021 2022 2021 2022 2021 2022 Product Product Unit 2021 2022 2021 2022 % change Conversion factors
Code Quantity Quantity Code Quantity Quantity Roundwood Industrial roundwood availability 3,031 199,147 6470% m3 of wood in m3 or t of product
ALL REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) ALL REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH) Recovered wood used in particle board 0 0 missing data Solid wood equivalent
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK Solid Wood Demand agglomerate production 425 470 11% 2.4
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK Sawnwood production Missing data Missing data missing data 1
1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub veneer production Missing data Missing data missing data 1
1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub plywood production Missing data Missing data missing data 1
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK particle board production (incl OSB) missing data missing data missing data 1.58
1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub OK OK fibreboard production missing data missing data missing data 1.8
1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub OK OK mechanical/semi-chemical pulp production missing data missing data missing data 2.5
1.2.NC.T of which: Tropical 1000 m3ub 1.2.NC.T of which: Tropical 1000 m3ub OK OK chemical pulp production missing data missing data missing data 4.9
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub OK OK dissolving pulp production missing data missing data missing data 5.7
1.2.1.C Coniferous 1000 m3ub 1.2.1.C Coniferous 1000 m3ub Availability Solid Wood Demand missing data missing data missing data
1.2.1.NC Non-Coniferous 1000 m3ub 1.2.1.NC Non-Coniferous 1000 m3ub Difference (roundwood-demand) missing data missing data missing data positive = surplus
1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub 1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub OK OK gap (demand/availability) missing data missing data Negative number means not enough roundwood available
1.2.2.C Coniferous 1000 m3ub 1.2.2.C Coniferous 1000 m3ub Positive number means more roundwood available than demanded
1.2.2.NC Non-Coniferous 1000 m3ub 1.2.2.NC Non-Coniferous 1000 m3ub
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK
1.2.3.C Coniferous 1000 m3ub 1.2.3.C Coniferous 1000 m3ub % of particle board that is from recovered wood 35%
1.2.3.NC Non-Coniferous 1000 m3ub 1.2.3.NC Non-Coniferous 1000 m3ub share of agglomerates produced from industrial roundwood residues 100%
PRODUCTION PRODUCTION usable industrial roundwood - amount of roundwood that is used, remainder leaves industry 98.5%
2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL 1000 t
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 3600 3600 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 3600 3600 3.1 WOOD CHIPS AND PARTICLES 1000 m3
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3
3.2.1 of which: Sawdust 1000 m3 3.2.1 of which: Sawdust 1000 m3 OK OK
4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD 1000 t
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 425 470 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK
5.1 WOOD PELLETS 1000 t 405 450 5.1 WOOD PELLETS 1000 t
5.2 OTHER AGGLOMERATES 1000 t 20 20 5.2 OTHER AGGLOMERATES 1000 t
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK
6.C Coniferous 1000 m3 6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3 6.NC.T of which: Tropical 1000 m3 OK OK
7 VENEER SHEETS 1000 m3 7 VENEER SHEETS 1000 m3 OK OK
7.C Coniferous 1000 m3 7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3 7.NC.T of which: Tropical 1000 m3 OK OK
8 WOOD-BASED PANELS 1000 m3 8 WOOD-BASED PANELS 1000 m3 OK OK
8.1 PLYWOOD 1000 m3 8.1 PLYWOOD 1000 m3 OK OK
8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3 8.1.NC.T of which: Tropical 1000 m3 OK OK
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 OK OK
8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous 1000 m3
8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous 1000 m3
8.1.1.NC.T of which: Tropical 1000 m3 8.1.1.NC.T of which: Tropical 1000 m3 OK OK
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK
8.3 FIBREBOARD 1000 m3 8.3 FIBREBOARD 1000 m3 OK OK
8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3
8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3
9 WOOD PULP 1000 t 243 201 6.9 6.9 9 WOOD PULP 1000 t OK OK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t
9.2 CHEMICAL WOOD PULP 1000 t 9.2 CHEMICAL WOOD PULP 1000 t OK OK
9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP 1000 t
9.2.1.1 of which: BLEACHED 1000 t 9.2.1.1 of which: BLEACHED 1000 t OK OK
9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP 1000 t
9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES 1000 t
10 OTHER PULP 1000 t 10 OTHER PULP 1000 t OK OK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t
10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP 1000 t
11 RECOVERED PAPER 1000 t 6060 5394 9 9 11 RECOVERED PAPER 1000 t
12 PAPER AND PAPERBOARD 1000 t 9489 8696 9 9 12 PAPER AND PAPERBOARD 1000 t OK OK
12.1 GRAPHIC PAPERS 1000 t 1884 1701 9 9 12.1 GRAPHIC PAPERS 1000 t OK OK
12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT 1000 t
12.1.2 UNCOATED MECHANICAL 1000 t 35 19 9 9 12.1.2 UNCOATED MECHANICAL 1000 t
12.1.3 UNCOATED WOODFREE 1000 t 586 580 9 9 12.1.3 UNCOATED WOODFREE 1000 t
12.1.4 COATED PAPERS 1000 t 1263 1102 9 9 12.1.4 COATED PAPERS 1000 t
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 1588 1592 9 9 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t
12.3 PACKAGING MATERIALS 1000 t 5529 4977 9 9 12.3 PACKAGING MATERIALS 1000 t OK OK
12.3.1 CASE MATERIALS 1000 t 3206 2848 9 9 12.3.1 CASE MATERIALS 1000 t
12.3.2 CARTONBOARD 1000 t NA (included in Other P. mainly for Pack)) NA (included in Other P. mainly for Pack)) 12.3.2 CARTONBOARD 1000 t
12.3.3 WRAPPING PAPERS 1000 t 596 554 9 9 12.3.3 WRAPPING PAPERS 1000 t
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 1727 1574 9 9 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 488 426 9 9 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 OK OK
15.1 GLULAM 1000 m3 15.1 GLULAM 1000 m3
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3
16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 1000 t
1 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included here
To fill: 59 59
m3ub = cubic metres solid volume underbark (i.e. excluding bark)
m3 = cubic metres solid volume
t = metric tonnes
https://www.fao.org/3/cb8216en/cb8216en.pdf

JQ2 Trade

61 62 61 62 91 92 91 92
FOREST SECTOR QUESTIONNAIRE JQ2 Country: 0 Date: 0 both VALUE and quantity reported ZERO
Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported INTRA-EU The difference might be caused by Intra-EU trade
PRIMARY PRODUCTS Official Address (in full): 0 This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data! ZERO V Value ZERO when quantity is reported CHECK
Trade Telephone: 0 Fax: 0 This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! ZERO CHECK 1 - if no value please CHECK NO Q no quantity reported ZERO CHECK 2 - if no value in Zero Check 1
E-mail: 0 Country: 0 NO V no value reported Treshold: 2 verifies whether the JQ2 figures refers only to intra-EU trade
Value must always be in 1000 NAC (national currency) Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note Trade Discrepancies REPORT no figures reported
Product Unit of I M P O R T E X P O R T Import Export Import Export Product I M P O R T E X P O R T Product Apparent Consumption Related Notes Product Value per I M P O R T E X P O R T Column1 Column2 Product Value per I M P O R T E X P O R T
code Product quantity 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 code 2021 2022 2021 2022 code 2021 2022 2021 2022 code Product unit 2021 2022 2021 2022 IMPORT EXPORT code Product unit 2021 2022 2021 2022
Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 4070 291078 3610 330456 269 42699 270 54077 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 3,801 3,340 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3 72 92 159 200 ACCEPT ACCEPT 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 780 50200 541 50009 11 969 33 4047 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 770 508 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3 64 92 89 123 ACCEPT ACCEPT 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3
1.1.C Coniferous 1000 m3ub 70 6246 82 8808 4 334 24 2126 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub 66 58 1.1.C Coniferous NAC/m3 90 107 82 87 ACCEPT ACCEPT 1.1.C Coniferous NAC/m3
1.1.NC Non-Coniferous 1000 m3ub 711 43955 459 41202 7 635 9 1921 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub 704 451 1.1.NC Non-Coniferous NAC/m3 62 90 94 224 ACCEPT CHECK 1.1.NC Non-Coniferous NAC/m3
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 3289 240877 3069 280447 258 41730 237 50030 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 3,031 2,832 1.2 INDUSTRIAL ROUNDWOOD NAC/m3 73 91 161 211 ACCEPT ACCEPT 1.2 INDUSTRIAL ROUNDWOOD NAC/m3
1.2.C Coniferous 1000 m3ub 919 72068 841 81425 215 26369 153 33843 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 703 688 1.2.C Coniferous NAC/m3 78 97 123 221 ACCEPT ACCEPT 1.2.C Coniferous NAC/m3
1.2.NC Non-Coniferous 1000 m3ub 2371 168809 2228 199022 43 15362 84 16187 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 2,328 2,144 1.2.NC Non-Coniferous NAC/m3 71 89 356 193 ACCEPT ACCEPT 1.2.NC Non-Coniferous NAC/mt
1.2.NC.T of which: Tropical1 1000 m3ub 29 6092 39 13829 12 2789 6 2731 1.2.NC.T of which: Tropical1 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical1 1000 m3ub 17 32 1.2.NC.T of which: Tropical NAC/m3 211 355 237 423 ACCEPT ACCEPT 1.2.NC.T of which: Tropical 1000 m3
2 WOOD CHARCOAL 1000 t 68 27836 57 31913 5 960 1 912 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL 1000 t 63 55 2 WOOD CHARCOAL NAC / t 408 563 190 685 ACCEPT CHECK 2 WOOD CHARCOAL 1000 m3
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 1252 43843 1288 51893 92 15089 127 27531 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 4,760 4,761 3 WOOD CHIPS, PARTICLES AND RESIDUES NAC/m3 35 40 164 217 ACCEPT ACCEPT 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 727 22084 559 29194 68 13979 117 26558 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3 4,259 4,041 3.1 WOOD CHIPS AND PARTICLES NAC/m3 30 52 205 227 ACCEPT ACCEPT 3.1 WOOD CHIPS AND PARTICLES 1000 mt
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 525 21760 729 22700 24 1110 9 972 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 502 720 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) NAC/m3 41 31 47 104 ACCEPT CHECK 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt
3.2.1 of which: Sawdust 1000 m3 263 10880 209 11353 12 555 5 586 3.2.1 of which: Sawdust 1000 m3 OK OK OK OK OK OK OK OK 3.2.1 of which: Sawdust 1000 m3 251 204 3.2.1 of which: Sawdust NAC/m3 41 54 47 117 ACCEPT CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 t 0 0 0 0 0 0 0 0 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD 1000 t 0 0 4 RECOVERED POST-CONSUMER WOOD NAC / t 0 0 0 0 ACCEPT ACCEPT 4 RECOVERED POST-CONSUMER WOOD 1000 mt
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 2217 409973 2067 694782 16 7875 16 8771 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 2,626 2,521 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC / t 185 336 506 546 ACCEPT ACCEPT 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3
5.1 WOOD PELLETS 1000 t 2124 399592 1916 679446 9 3817 7 4166 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS 1000 t 2,520 2,359 5.1 WOOD PELLETS NAC / t 188 355 432 596 ACCEPT ACCEPT 5.1 WOOD PELLETS NAC/m3
5.2 OTHER AGGLOMERATES 1000 t 93 10381 151 15336 7 4058 9 4605 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES 1000 t 106 162 5.2 OTHER AGGLOMERATES NAC / t 112 101 602 509 ACCEPT ACCEPT 5.2 OTHER AGGLOMERATES NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 5079 1536392 6062 2209526 601 299472 550 314685 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 4,478 5,511 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3 302 365 498 572 ACCEPT ACCEPT 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3
6.C Coniferous 1000 m3 4304 1238358 5243 1782961 349 111755 193 102170 6.C Coniferous 1000 m3 6.C Coniferous 1000 m3 3,955 5,050 6.C Coniferous NAC/m3 288 340 320 530 ACCEPT ACCEPT 6.C Coniferous NAC/m3
6.NC Non-Coniferous 1000 m3 775 298034 818 426566 252 187717 357 212515 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3 523 461 6.NC Non-Coniferous NAC/m3 385 521 744 595 ACCEPT ACCEPT 6.NC Non-Coniferous NAC/m3
6.NC.T of which: Tropical1 1000 m3 104 63689 154 111282 13 12873 160 22326 6.NC.T of which: Tropical1 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical1 1000 m3 91 -6 6.NC.T of which: Tropical NAC/m3 610 723 988 139 ACCEPT CHECK 6.NC.T of which: Tropical NAC/m3
7 VENEER SHEETS 1000 m3 241 222107 256 236013 39 138139 32 176968 7 VENEER SHEETS 1000 m3 OK OK OK OK OK OK OK OK 7 VENEER SHEETS 1000 m3 201 223 7 VENEER SHEETS NAC/m3 923 923 3502 5475 ACCEPT ACCEPT 7 VENEER SHEETS NAC/m3
7.C Coniferous 1000 m3 6 5001 5 4404 1 2087 1 3213 7.C Coniferous 1000 m3 7.C Coniferous 1000 m3 5 4 7.C Coniferous NAC/m3 879 969 2476 3594 ACCEPT ACCEPT 7.C Coniferous NAC/m3
7.NC Non-Coniferous 1000 m3 235 217106 251 231609 39 136052 31 173755 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3 196 220 7.NC Non-Coniferous NAC/m3 924 922 3524 5528 ACCEPT ACCEPT 7.NC Non-Coniferous NAC/m3
7.NC.T of which: Tropical 1000 m3 103 73852 92 71942 9 53439 9 62506 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 94 83 7.NC.T of which: Tropical NAC/m3 714 780 5690 7128 ACCEPT ACCEPT 7.NC.T of which: Tropical NAC/m3
8 WOOD-BASED PANELS 1000 m3 2789 882831 3542 1449941 1304 753967 1240 962131 8 WOOD-BASED PANELS 1000 m3 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 1,486 2,303 8 WOOD-BASED PANELS NAC/m3 317 409 578 776 ACCEPT ACCEPT 8 WOOD-BASED PANELS NAC/m3
8.1 PLYWOOD 1000 m3 539 302900 582 438537 230 261688 288 386598 8.1 PLYWOOD 1000 m3 OK OK OK OK OK OK OK OK 8.1 PLYWOOD 1000 m3 309 295 8.1 PLYWOOD NAC/m3 562 753 1136 1344 ACCEPT ACCEPT 8.1 PLYWOOD NAC/m3
8.1.C Coniferous 1000 m3 249 123097 288 192012 49 56203 117 127774 8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3 200 170 8.1.C Coniferous NAC/m3 494 667 1148 1088 ACCEPT ACCEPT 8.1.C Coniferous NAC/m3
8.1.NC Non-Coniferous 1000 m3 290 179803 294 246525 181 205486 170 258823 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3 109 124 8.1.NC Non-Coniferous NAC/m3 619 838 1132 1521 ACCEPT ACCEPT 8.1.NC Non-Coniferous NAC/m3
8.1.NC.T of which: Tropical 1000 m3 65 52449 77 78612 57 71451 39 69097 8.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical 1000 m3 8 38 8.1.NC.T of which: Tropical NAC/m3 805 1019 1248 1752 ACCEPT ACCEPT 8.1.NC.T of which: Tropical NAC/m3
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 9 6498 2 1033 16 18856 0 518 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 OK OK OK OK OK OK OK OK 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 -7 1 8.1.1 of which: Laminated Veneer Lumber (LVL) NAC/m3 759 660 1203 1146 ACCEPT ACCEPT
8.1.1.C Coniferous 1000 m3 4 3249 1 651 8 9428 0 242 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous 1000 m3 -4 1 8.1.1.C Coniferous NAC/m3 759 926 1203 2055 ACCEPT ACCEPT
8.1.1.NC Non-Coniferous 1000 m3 4 3249 1 381 8 9428 0 277 8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous 1000 m3 -4 1 8.1.1.NC Non-Coniferous NAC/m3 759 443 1203 827 ACCEPT ACCEPT
8.1.1.NC.T of which: Tropical 1000 m3 2 1625 1 233 4 4714 0 200 8.1.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.1.NC.T of which: Tropical 1000 m3 -2 0 8.1.1.NC.T of which: Tropical NAC/m3 759 364 1203 666 CHECK ACCEPT
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 1356 311155 1527 468130 697 335713 658 404575 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 659 869 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3 230 307 482 614 ACCEPT ACCEPT 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 188 62714 295 101859 41 20483 43 21778 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 147 252 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3 334 345 499 510 ACCEPT ACCEPT 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3
8.3 FIBREBOARD 1000 m3 894 268777 1433 543275 376 156566 294 170958 8.3 FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 518 1,139 8.3 FIBREBOARD NAC/m3 301 379 416 582 ACCEPT ACCEPT 8.3 FIBREBOARD NAC/m3
8.3.1 HARDBOARD 1000 m3 121 47359 283 79435 15 13939 19 18317 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3 106 264 8.3.1 HARDBOARD NAC/m3 390 281 924 974 ACCEPT ACCEPT 8.3.1 HARDBOARD NAC/mt
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 699 198349 1065 423949 357 137987 269 141655 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 343 796 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/m3 284 398 387 526 ACCEPT ACCEPT 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt
8.3.3 OTHER FIBREBOARD 1000 m3 73 23069 85 39890 4 4640 6 10985 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3 69 79 8.3.3 OTHER FIBREBOARD NAC/m3 315 469 1084 1981 ACCEPT ACCEPT 8.3.3 OTHER FIBREBOARD NAC/mt
9 WOOD PULP 1000 t 3316 1856836 3536 2675172 119 80045 293 243744 9 WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 t 3,441 3,444 9 WOOD PULP NAC/t 560 756 674 832 ACCEPT ACCEPT 9 WOOD PULP NAC/mt
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 160 67500 182 101178 16 6823 15 9610 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 144 167 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/t 423 554 433 633 ACCEPT ACCEPT 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt
9.2 CHEMICAL WOOD PULP 1000 t 3156 1788400 3352 2571576 103 73126 278 233987 9.2 CHEMICAL WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 t 3,053 3,074 9.2 CHEMICAL WOOD PULP NAC/t 567 767 710 843 ACCEPT ACCEPT 9.2 CHEMICAL WOOD PULP NAC/mt
9.2.1 SULPHATE PULP 1000 t 3130 1769049 3320 2538990 103 71311 277 232694 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP 1000 t 3,027 3,042 9.2.1 SULPHATE PULP NAC/t 565 765 695 839 ACCEPT ACCEPT 9.2.1 SULPHATE PULP NAC/mt
9.2.1.1 of which: BLEACHED 1000 t 3110 1759362 3297 2525597 102 70991 277 231867 9.2.1.1 of which: BLEACHED 1000 t OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 t 3,008 3,020 9.2.1.1 of which: BLEACHED NAC/t 566 766 695 838 ACCEPT ACCEPT 9.2.1.1 of which: BLEACHED NAC/mt
9.2.2 SULPHITE PULP 1000 t 26 19351 32 32586 0 1815 0 1294 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP 1000 t 25 32 9.2.2 SULPHITE PULP NAC/t 749 1019 4235 7276 ACCEPT ACCEPT 9.2.2 SULPHITE PULP NAC/mt
9.3 DISSOLVING GRADES 1000 t 1 937 2 2419 0 96 0 147 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES 1000 t 1 2 9.3 DISSOLVING GRADES NAC/t 824 1139 3767 1281 ACCEPT CHECK 9.3 DISSOLVING GRADES NAC/mt
10 OTHER PULP 1000 t 39 34245 29 34600 3 2352 2 1946 10 OTHER PULP 1000 t OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 t 36 27 10 OTHER PULP NAC/t 888 1187 882 1073 ACCEPT ACCEPT 10 OTHER PULP NAC/mt
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 20 22602 10 17606 1 1399 1 1288 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 19 9 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/t 1148 1776 1559 1596 ACCEPT ACCEPT 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt
10.2 RECOVERED FIBRE PULP 1000 t 19 11643 19 16995 2 953 1 658 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP 1000 t 17 18 10.2 RECOVERED FIBRE PULP NAC/t 616 884 538 654 ACCEPT ACCEPT 10.2 RECOVERED FIBRE PULP NAC/mt
11 RECOVERED PAPER 1000 t 366 94079 296 101069 1349 272076 1481 283567 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER 1000 t 5,077 4,209 11 RECOVERED PAPER NAC/t 257 342 202 191 ACCEPT ACCEPT 11 RECOVERED PAPER NAC/mt
12 PAPER AND PAPERBOARD 1000 t 4800 3568843 5549 5582916 3614 3215851 3106 4171286 12 PAPER AND PAPERBOARD 1000 t OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 t 10,675 11,139 12 PAPER AND PAPERBOARD NAC/t 744 1006 890 1343 ACCEPT ACCEPT 12 PAPER AND PAPERBOARD NAC/mt
12.1 GRAPHIC PAPERS 1000 t 1547 1047254 1651 1688187 1304 1207876 1193 1695761 12.1 GRAPHIC PAPERS 1000 t OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 t 2,126 2,159 12.1 GRAPHIC PAPERS NAC/t 677 1022 926 1421 ACCEPT ACCEPT 12.1 GRAPHIC PAPERS NAC/mt
12.1.1 NEWSPRINT 1000 t 355 156682 390 320156 3 2638 3 3215 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT 1000 t 352 388 12.1.1 NEWSPRINT NAC/t 442 821 883 1285 ACCEPT ACCEPT 12.1.1 NEWSPRINT NAC/mt
12.1.2 UNCOATED MECHANICAL 1000 t 235 135195 279 250331 21 32625 22 39829 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL 1000 t 249 276 12.1.2 UNCOATED MECHANICAL NAC/t 576 898 1560 1835 ACCEPT ACCEPT 12.1.2 UNCOATED MECHANICAL NAC/mt
12.1.3 UNCOATED WOODFREE 1000 t 501 410981 466 567369 247 314556 306 458066 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE 1000 t 840 739 12.1.3 UNCOATED WOODFREE NAC/t 821 1218 1273 1496 ACCEPT ACCEPT 12.1.3 UNCOATED WOODFREE NAC/mt
12.1.4 COATED PAPERS 1000 t 456 344396 517 550331 1033 858056 863 1194652 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS 1000 t 686 756 12.1.4 COATED PAPERS NAC/t 755 1065 831 1385 ACCEPT ACCEPT 12.1.4 COATED PAPERS NAC/mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 19 39358 25 67606 392 407809 361 572476 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 1,216 1,256 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/t 2055 2695 1042 1585 ACCEPT ACCEPT 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt
12.3 PACKAGING MATERIALS 1000 t 3179 2393419 3808 3717626 1911 1569406 1541 1865967 12.3 PACKAGING MATERIALS 1000 t OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 t 6,798 7,244 12.3 PACKAGING MATERIALS NAC/t 753 976 821 1211 ACCEPT ACCEPT 12.3 PACKAGING MATERIALS NAC/mt
12.3.1 CASE MATERIALS 1000 t 1873 1052686 2292 1746384 580 349832 409 348509 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS 1000 t 4,499 4,731 12.3.1 CASE MATERIALS NAC/t 562 762 603 852 ACCEPT ACCEPT 12.3.1 CASE MATERIALS NAC/mt
12.3.2 CARTONBOARD 1000 t 762 803773 911 1171633 542 600867 436 696259 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD 1000 t 220 475 12.3.2 CARTONBOARD NAC/t 1055 1286 1109 1598 ACCEPT ACCEPT 12.3.2 CARTONBOARD NAC/mt
12.3.3 WRAPPING PAPERS 1000 t 530 524247 575 769294 345 407474 314 539702 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS 1000 t 781 814 12.3.3 WRAPPING PAPERS NAC/t 989 1339 1180 1718 ACCEPT ACCEPT 12.3.3 WRAPPING PAPERS NAC/mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 15 12713 31 30316 444 211233 382 281497 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 1,298 1,223 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/t 865 978 476 737 ACCEPT ACCEPT 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 55 88811 65 109496 8 30760 11 37081 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 535 480 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/t 1620 1686 4059 3502 ACCEPT ACCEPT 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/mt
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)2 1000 m3 0 0 431 351650 0 0 12 18930 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 OK OK OK OK OK OK OK OK 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 0 419 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 NAC/m3 0 816 0 1616 CHECK CHECK
15.1 GLULAM 1000 m3 0 0 402 324799 0 0 10 16532 15.1 GLULAM 1000 m3 15.1 GLULAM 1000 m3 0 392 15.1 GLULAM NAC/m3 0 809 0 1688 CHECK CHECK
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0 0 29 26851 0 0 2 2398 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0 27 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) NAC/m3 0 920 0 1249 CHECK CHECK
16 I BEAMS (I-JOISTS)2 1000 t 0 0 0 32 0 0 0 243 16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 1000 t 0 -0 16 I BEAMS (I-JOISTS)1 NAC/t 0 1296 0 700 CHECK CHECK
1 Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
2 Glulam. CLT and I Beams are classified as secondary wood products but for ease of reporting are included here
To fill: 0 0 0 0 0 0 0 0
m3 = cubic metres solid volume
m3ub = cubic metres solid volume underbark (i.e. excluding bark)
t = metric tonnes
https://www.fao.org/3/cb8216en/cb8216en.pdf

JQ3 Secondary PP Trade

62 91 91
Country: 0 Date:
Name of Official responsible for reply: 0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ3 0
SECONDARY PROCESSED PRODUCTS Telephone/Fax: 0 0
Trade E-mail: 0
This table highlights discrepancies between items and sub-items. Please verify your data if there's an error!
Value must always be in 1000 NAC (national currency) Discrepancies
Eurozone countries may use the old national currency, but only in both years Flag Flag Flag Flag Note Note Note Note
Product Product I M P O R T V A L U E E X P O R T V A L U E Import Export Import Export Product Product I M P O R T V A L U E E X P O R T V A L U E
code 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 Code 2021 2022 2021 2022
13 SECONDARY WOOD PRODUCTS 2664590 2884688 7757866 8702212 13 SECONDARY WOOD PRODUCTS OK OK OK OK
13.1 FURTHER PROCESSED SAWNWOOD 78919 106768 166738 193846 13.1 FURTHER PROCESSED SAWNWOOD OK OK OK OK
13.1.C Coniferous 30340 39154 48354 56952 13.1.C Coniferous
13.1.NC Non-coniferous 48578 67614 118384 136894 13.1.NC Non-coniferous
13.1.NC.T of which: Tropical 6110 12363 1350 2795 13.1.NC.T of which: Tropical OK OK OK OK
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 341677 450374 153670 225552 13.2 WOODEN WRAPPING AND PACKAGING MATERIAL
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 78115 101985 91397 92862 13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1 665821 507797 405814 389654 13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1
13.5 WOODEN FURNITURE 1201569 1311455 6753877 7611872 13.5 WOODEN FURNITURE
13.6 PREFABRICATED BUILDINGS OF WOOD 43561 77576 20029 19915 13.6 PREFABRICATED BUILDINGS OF WOOD
13.7 OTHER MANUFACTURED WOOD PRODUCTS 254927 328734 166342 168510 13.7 OTHER MANUFACTURED WOOD PRODUCTS
14 SECONDARY PAPER PRODUCTS 1684469 2228835 3878685 4994086 14 SECONDARY PAPER PRODUCTS OK OK OK OK
14.1 COMPOSITE PAPER AND PAPERBOARD 26446 32341 36438 50374 14.1 COMPOSITE PAPER AND PAPERBOARD
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 497018 633992 566976 683253 14.2 SPECIAL COATED PAPER AND PULP PRODUCTS
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 123281 154924 770247 1164053 14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4 PACKAGING CARTONS, BOXES ETC. 488352 681987 1332511 1709364 14.4 PACKAGING CARTONS, BOXES ETC.
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 443356 573895 960449 1144021 14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE OK OK OK OK
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE 2962 4432 4703 5779 14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 47947 72250 9946 12941 14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 21050 24048 143326 157848 14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
1 In February 2023 this definition was updated to exclude Glulam. Cross-Laminated Timber and I-Beams which are now distinct items in the JFSQ (15.1. 15.2 and 16). This change was made to reflect the update of HS2022.
To fill: 0 0 0 0

ECE-EU Species

Country: 0 Date:
Name of Official responsible for reply: 0
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade Official Address (in full): Check Table
0 0 both VALUE and quantity reported ZERO
Trade in Roundwood and Sawnwood by species Telephone: 0 Fax: 0 DISCREPANCIES ZERO Q quantity ZERO when VALUE is reported
E-mail: 0 ZERO V Value ZERO when quantity is reported
Checks whether the sum of subitems is bigger than the total Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC ( national currency) NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000NAC Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note REPORT no figures reported
I M P O R T E X P O R T Import Export Import Export I M P O R T E X P O R T Value per I M P O R T E X P O R T Unit price check
Product Classification Classification Unit of 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 Classification Classification unit 2021 2022 2021 2022 IMPORT EXPORT
Code HS2022 CN2022 Product Quantity Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value HS2022 CN2022 Product
1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous 1000 m3ub OK OK OK OK OK OK OK OK 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK PRODUCTION I M P O R T E X P O R T
4403.21/22 of which: Pine (Pinus spp.) 1000 m3ub OK OK OK OK OK OK OK OK 4403.21/22 of which: Pine (Pinus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK Product Classification Classification Unit of 2021 2022 2021 2022 2021 2022
4403 21 10 sawlogs and veneer logs 1000 m3ub 4403 21 10 sawlogs and veneer logs NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK Code HS2022 CN2022 Product Quantity Quantity Quantity Quantity Value Quantity Value Quantity Value Quantity Value
4403 21 90 4403 22 00 pulpwood and other industrial roundwood 1000 m3ub 4403 21 90 4403 22 00 pulpwood and other industrial roundwood NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 1 4401.11/12 44.03 Roundwood production 1000 m3 JQ1 0 0
4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3ub OK OK OK OK OK OK OK OK 4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK EU2 0 0
4403 23 10 sawlogs and veneer logs 1000 m3ub 4403 23 10 sawlogs and veneer logs NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 0 0
4403 23 90 4403 24 00 pulpwood and other industrial roundwood 1000 m3ub 4403 23 90 4403 24 00 pulpwood and other industrial roundwood NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood (wood in the rough), Coniferous 1000 m3 JQ2 919 72,068 841 81,425 215 26,369 153 33,843
1.2.NC 4403.12/41/42/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous 1000 m3ub OK OK OK OK OK OK OK OK 4403.12/41/42/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK ECE/EU 0 0 0 0 0 0 0 0
ex4403.12 4403.91 of which: Oak (Quercus spp.) 1000 m3ub ex4403.12 4403.91 of which: Oak (Quercus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 919 72,068 841 81,425 215 26,369 153 33,843
ex4403.12 4403.93/94 of which: Beech (Fagus spp.) 1000 m3ub ex4403.12 4403.93/94 of which: Beech (Fagus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 1.2.NC 4403.12/41/42/49/91/93/94/95/96/97/98/99 Industrial Roundwood (wood in the rough), Non-Coniferous 1000 m3 JQ2 2,371 168,809 2,228 199,022 43 15,362 84 16,187
ex4403.12 4403.95/96 of which: Birch (Betula spp.) 1000 m3ub OK OK OK OK OK OK OK OK ex4403.12 4403.95/96 of which: Birch (Betula spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK ECE/EU 0 0 0 0 0 0 0 0
4403 95 10 sawlogs and veneer logs 1000 m3ub 4403 95 10 sawlogs and veneer logs NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 2,371 168,809 2,228 199,022 43 15,362 84 16,187
ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood 1000 m3ub ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous 1000 m3 JQ2 4,304 1,238,358 5,243 1,782,961 349 111,755 193 102,170
ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) 1000 m3ub ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK ECE/EU 0 0 0 0 0 0 0 0
ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) 1000 m3ub ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 4,304 1,238,358 5,243 1,782,961 349 111,755 193 102,170
6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous 1000 m3 OK OK OK OK OK OK OK OK 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK 6.NC 4406.12/92 4407.21/22/23/25/26/27/28/29/91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 JQ2 775 298,034 818 426,566 252 187,717 357 212,515
4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) 1000 m3 4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK ECE/EU 0 0 0 0 0 0 0 0
4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3 4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK dif 775 298,034 818 426,566 252 187,717 357 212,515
6.NC 4406.12/92 4407.21/22/23/25/26/27/28/29/ 91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous 1000 m3 OK OK OK OK OK OK OK OK 4406.12/92 4407.21/22/23/25/26/27/28/29/ 91/92/93/94/95/96/97/99 Sawnwood, Non-coniferous NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.91 of which: Oak (Quercus spp.) 1000 m3 ex4406.12/92 4407.91 of which: Oak (Quercus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.92 of which: Beech (Fagus spp.) 1000 m3 ex4406.12/92 4407.92 of which: Beech (Fagus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.93 of which: Maple (Acer spp.) 1000 m3 ex4406.12/92 4407.93 of which: Maple (Acer spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) 1000 m3 ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) 1000 m3 ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.96 of which: Birch (Betula spp.) 1000 m3 ex4406.12/92 4407.96 of which: Birch (Betula spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) 1000 m3 ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) NAC/m3 REPORT REPORT REPORT REPORT CHECK CHECK
Light blue cells are requested only for EU members using the Combined Nomenclature to fill in - other countries are welcome to do so if their trade classification nomenclature permits
Please note that information on tropical species trade is requested in questionnaire ITTO2 for ITTO member countries
"ex" codes indicate that only part of that trade classication code is used To fill: 26 26 26 26 26 26 26 26
m3ub = cubic metres underbark (i.e. excluding bark)
Please complete each cell if possible with
data (numerical value)
or " " for not available
or "0" for zero data

EU1 ExtraEU Trade

FOREST SECTOR QUESTIONNAIRE Country: 0 Date: 0 both VALUE and quantity reported ZERO
EU1 Name of Official responsible for reply: 0 ZERO Q quantity ZERO when VALUE is reported
Official Address (in full): 0 ZERO V Value ZERO when quantity is reported
Trade with countries outside EU Telephone: 0 Fax: 0 JQ2/EU1 comparison Zero check - if no value please CHECK NO Q no quantity reported
Value must always be in 1000 NAC (national currency) E-mail: 0 JQ2>=EU1 NO V no value reported Treshold: 2
Eurozone countries may use the old national currency, but only in both years 1000 NAC Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note Trade Discrepancies REPORT no figures reported
Product Unit of I M P O R T E X P O R T Import Export Import Export I M P O R T E X P O R T Product I M P O R T E X P O R T Product Value per I M P O R T E X P O R T Column1 Column2
code Product quantity 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 code 2021 2022 2021 2022 code Product unit 2021 2022 2021 2022 IMPORT EXPORT
Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 944 79916 904 116357 17 8302 21 4939 OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub OK OK OK OK OK OK OK OK 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/ m3 85 129 476 241 CHECK CHECK
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 480 30806 301 27658 1 304 2 686 OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub OK OK OK OK OK OK OK OK 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/ m3 64 92 262 314 CHECK CHECK
1.1.C Coniferous 1000 m3ub 14 1431 13 1577 0 85 0 81 OK OK OK OK OK OK OK OK 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous NAC/ m3 100 119 246 185 CHECK CHECK
1.1.NC Non-Coniferous 1000 m3ub 466 29375 288 26082 1 219 2 604 OK OK OK OK OK OK OK OK 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous NAC/ m3 63 91 268 347 CHECK CHECK
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 464 49110 603 88699 16 7999 18 4253 OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub OK OK OK OK OK OK OK OK 1.2 INDUSTRIAL ROUNDWOOD NAC/ m3 106 147 491 232 CHECK CHECK
1.2.C Coniferous 1000 m3ub 298 19570 262 21681 2 245 5 880 OK OK OK OK OK OK OK OK 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous NAC/ m3 66 83 128 185 ACCEPT CHECK
1.2.NC Non-Coniferous 1000 m3ub 166 29540 341 67017 14 7753 14 3373 OK OK OK OK OK OK OK OK 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous NAC/ m3 178 197 540 249 CHECK CHECK
1.2.NC.T of which: Tropical 1000 m3ub 10 2659 17 6376 0 117 0 56 OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical 1000 m3ub OK OK OK OK OK OK OK OK 1.2.NC.T of which: Tropical NAC/ m3 273 369 562 425 ACCEPT CHECK
2 WOOD CHARCOAL 1000 t 52 18527 41 21415 0 187 0 201 OK OK OK OK OK OK OK OK 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL NAC/ t 358 527 582 957 ACCEPT CHECK
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 73 1596 67 2375 1 726 1 1054 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 OK OK OK OK OK OK OK OK 3 WOOD CHIPS, PARTICLES AND RESIDUES NAC/ m3 22 35 1402 920 CHECK CHECK
3.1 WOOD CHIPS AND PARTICLES 1000 m3 1 941 1 1334 0 665 1 877 OK OK OK OK OK OK OK OK 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES NAC/ m3 1367 914 1866 1175 CHECK CHECK
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 72 655 66 1041 0 61 0 177 OK OK OK OK OK OK OK OK 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) NAC/ m3 9 16 379 442 CHECK CHECK
3.2.1 of which: Sawdust 1000 m3 36 327 0 48 0 31 0 73 OK OK OK OK OK OK OK OK 3.2.1 of which: Sawdust 1000 m3 OK OK OK OK OK OK OK OK 3.2.1 of which: Sawdust NAC/ m3 9 127 379 988 CHECK CHECK
4 RECOVERED POST-CONSUMER WOOD 1000 t 0 0 0 0 0 0 0 0 OK OK OK OK OK OK OK OK 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD NAC/ t 0 0 0 0 ACCEPT ACCEPT
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 384 62804 402 127850 3 3023 4 2980 OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t OK OK OK OK OK OK OK OK 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/ t 163 318 986 761 CHECK CHECK
5.1 WOOD PELLETS 1000 t 373 61190 396 126430 1 849 1 1179 OK OK OK OK OK OK OK OK 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS NAC/ t 164 319 759 816 CHECK CHECK
5.2 OTHER AGGLOMERATES 1000 t 12 1615 6 1420 2 2174 2 1800 OK OK OK OK OK OK OK OK 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES NAC/ t 139 240 1117 729 CHECK CHECK
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 710 267612 639 322885 257 113578 201 105856 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 OK OK OK OK OK OK OK OK 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/ m3 377 505 441 526 ACCEPT CHECK
6.C Coniferous 1000 m3 453 136342 330 120697 161 65131 119 52704 OK OK OK OK OK OK OK OK 6.C Coniferous 1000 m3 6.C Coniferous NAC/ m3 301 365 405 442 ACCEPT CHECK
6.NC Non-Coniferous 1000 m3 257 131270 308 202187 97 48447 82 53151 OK OK OK OK OK OK OK OK 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous NAC/ m3 510 655 501 646 ACCEPT CHECK
6.NC.T of which: Tropical 1000 m3 92 59169 139 104297 4 3783 7 5998 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 6.NC.T of which: Tropical NAC/ m3 641 748 942 877 ACCEPT CHECK
7 VENEER SHEETS 1000 m3 92 82022 93 112174 12 61686 13 82087 OK OK OK OK OK OK OK OK 7 VENEER SHEETS 1000 m3 OK OK OK OK OK OK OK OK 7 VENEER SHEETS NAC/ m3 888 1207 5239 6486 CHECK CHECK
7.C Coniferous 1000 m3 4 1792 3 2303 0 813 1 1816 OK OK OK OK OK OK OK OK 7.C Coniferous 1000 m3 7.C Coniferous NAC/ m3 457 665 4466 3534 CHECK CHECK
7.NC Non-Coniferous 1000 m3 88 80230 89 109870 12 60873 12 80271 OK OK OK OK OK OK OK OK 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous NAC/ m3 907 1229 5252 6611 CHECK CHECK
7.NC.T of which: Tropical 1000 m3 55 43945 62 54380 5 28842 5 36412 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 7.NC.T of which: Tropical NAC/ m3 796 876 6235 7820 CHECK CHECK
8 WOOD-BASED PANELS 1000 m3 466 191668 459 251581 477 124008 380 130462 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS 1000 m3 OK OK OK OK OK OK OK OK 8 WOOD-BASED PANELS NAC/ m3 411 548 260 343 CHECK CHECK
8.1 PLYWOOD 1000 m3 327 155507 300 195953 42 37709 36 49361 OK OK OK OK OK OK OK OK 8.1 PLYWOOD 1000 m3 OK OK OK OK OK OK OK OK 8.1 PLYWOOD NAC/ m3 476 654 899 1371 ACCEPT CHECK
8.1.C Coniferous 1000 m3 177 73752 180 97290 14 12255 13 19105 OK OK OK OK OK OK OK OK 8.1.C Coniferous 1000 m3 8.1.C Coniferous NAC/ m3 417 540 845 1432 ACCEPT CHECK
8.1.NC Non-Coniferous 1000 m3 150 81755 119 98663 27 25454 23 30256 OK OK OK OK OK OK OK OK 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous NAC/ m3 546 826 928 1335 ACCEPT CHECK
8.1.NC.T of which: Tropical 1000 m3 30 24358 51 50835 9 7903 3 4432 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.NC.T of which: Tropical NAC/ m3 807 1006 920 1633 ACCEPT CHECK
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0 168 0 239 3 4449 0 351 OK OK OK OK OK OK OK OK 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 OK OK OK OK OK OK OK OK 8.1.1 of which: Laminated Veneer Lumber (LVL) NAC/ m3 542 802 1491 2313 ACCEPT CHECK
8.1.1.C Coniferous 1000 m3 0 84 0 216 1 2224 0 221 OK OK OK OK OK OK OK OK 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous NAC/ m3 542 851 1491 2150 ACCEPT CHECK
8.1.1.NC Non-Coniferous 1000 m3 0 84 0 23 1 2224 0 130 OK OK OK OK OK OK OK OK 8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous NAC/ m3 542 521 1491 2655 CHECK CHECK
8.1.1.NC.T of which: Tropical 1000 m3 0 42 0 23 1 1112 0 52 OK OK OK OK OK OK OK OK 8.1.1.NC.T of which: Tropical 1000 m3 OK OK OK OK OK OK OK OK 8.1.1.NC.T of which: Tropical NAC/ m3 542 521 1491 3787 CHECK CHECK
8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 108 24066 83 24066 287 24066 271 24066 OK OK OK OK OK OK OK OK 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD 1000 m3 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/ m3 223 291 84 89 CHECK CHECK
8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 5 2116 9 4005 7 4066 10 6002 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRANDBOARD (OSB) 1000 m3 OK OK OK OK OK OK OK OK 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/ m3 438 447 547 598 ACCEPT CHECK
8.3 FIBREBOARD 1000 m3 32 12094 77 31562 148 62232 73 57035 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD 1000 m3 OK OK OK OK OK OK OK OK 8.3 FIBREBOARD NAC/ m3 381 411 420 781 ACCEPT CHECK
8.3.1 HARDBOARD 1000 m3 12 4012 16 7131 9 9458 9 10996 OK OK OK OK OK OK OK OK 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD NAC/ m3 348 452 1006 1220 CHECK CHECK
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8 4188 34 13909 78 30082 37 25278 OK OK OK OK OK OK OK OK 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/ m3 517 410 387 691 ACCEPT CHECK
8.3.3 OTHER FIBREBOARD 1000 m3 12 3894 27 10521 61 22692 27 20761 OK OK OK OK WRONG WRONG WRONG WRONG 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD NAC/ m3 322 389 372 757 ACCEPT CHECK
9 WOOD PULP 1000 t 2068 1169460 2108 1667100 14 9169 15 14500 OK OK OK OK OK OK OK OK 9 WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9 WOOD PULP NAC/ t 566 791 644 988 ACCEPT CHECK
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 16 7425 18 12533 10 3912 8 4779 OK OK OK OK OK OK OK OK 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/ t 475 690 379 636 ACCEPT CHECK
9.2 CHEMICAL WOOD PULP 1000 t 2052 1161704 2088 1653033 4 5245 7 9721 OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP 1000 t OK OK OK OK OK OK OK OK 9.2 CHEMICAL WOOD PULP NAC/ t 566 792 1338 1359 ACCEPT CHECK
9.2.1 SULPHATE PULP 1000 t 2051 1159365 2088 1650094 4 4951 7 9564 OK OK OK OK OK OK OK OK 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP NAC/ t 565 790 1285 1348 ACCEPT CHECK
9.2.1.1 of which: BLEACHED 1000 t 2048 1157411 2085 1648073 4 4833 7 9298 OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED 1000 t OK OK OK OK OK OK OK OK 9.2.1.1 of which: BLEACHED NAC/ t 565 790 1294 1347 ACCEPT CHECK
9.2.2 SULPHITE PULP 1000 t 0 2339 0 2939 0 295 0 158 OK OK OK OK OK OK OK OK 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP NAC/ t 8568 10395 4378 2784 CHECK CHECK
9.3 DISSOLVING GRADES 1000 t 1 331 1 1534 0 12 0 0 OK OK OK OK OK OK OK OK 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES NAC/ t 473 1026 1681 0 ACCEPT ACCEPT
10 OTHER PULP 1000 t 7 6082 8 10133 2 1735 1 1431 OK OK OK OK OK OK OK OK 10 OTHER PULP 1000 t OK OK OK OK OK OK OK OK 10 OTHER PULP NAC/ t 815 1292 745 1047 ACCEPT CHECK
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 2 2416 2 4816 1 1195 1 1073 OK OK OK OK OK OK OK OK 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/ t 1507 2148 1499 1414 ACCEPT CHECK
10.2 RECOVERED FIBRE PULP 1000 t 6 3666 6 5317 2 540 1 357 OK OK OK OK OK OK OK OK 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP NAC/ t 626 949 353 589 CHECK CHECK
11 RECOVERED PAPER 1000 t 161 46434 125 44796 793 168485 987 171203 OK OK OK OK OK OK OK OK 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER NAC/ t 288 359 212 173 ACCEPT CHECK
12 PAPER AND PAPERBOARD 1000 t 689 500161 839 842621 1346 1178560 995 1417315 OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD 1000 t OK OK OK OK OK OK OK OK 12 PAPER AND PAPERBOARD NAC/ t 725 1004 876 1424 ACCEPT CHECK
12.1 GRAPHIC PAPERS 1000 t 178 111259 227 224742 551 511551 470 733033 OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS 1000 t OK OK OK OK OK OK OK OK 12.1 GRAPHIC PAPERS NAC/ t 623 990 928 1560 ACCEPT CHECK
12.1.1 NEWSPRINT 1000 t 72 31478 79 64610 1 893 0 1182 OK OK OK OK OK OK OK OK 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT NAC/ t 438 817 853 3120 ACCEPT CHECK
12.1.2 UNCOATED MECHANICAL 1000 t 3 3716 9 11940 8 12517 7 15400 OK OK OK OK OK OK OK OK 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL NAC/ t 1191 1375 1622 2114 ACCEPT CHECK
12.1.3 UNCOATED WOODFREE 1000 t 57 42276 90 99508 103 136010 110 193335 OK OK OK OK OK OK OK OK 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE NAC/ t 744 1103 1318 1758 ACCEPT CHECK
12.1.4 COATED PAPERS 1000 t 47 33789 49 48684 439 362131 352 523116 OK OK OK OK OK OK OK OK 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS NAC/ t 725 993 824 1485 ACCEPT CHECK
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 2 3231 4 8037 68 84933 29 50769 OK OK OK OK OK OK OK OK 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/ t 1989 1971 1256 1773 ACCEPT CHECK
12.3 PACKAGING MATERIALS 1000 t 489 369536 582 583790 722 568570 489 615836 OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS 1000 t OK OK OK OK OK OK OK OK 12.3 PACKAGING MATERIALS NAC/ t 756 1003 788 1259 ACCEPT CHECK
12.3.1 CASE MATERIALS 1000 t 301 176743 362 284919 251 141225 131 107212 OK OK OK OK OK OK OK OK 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS NAC/ t 588 787 563 817 ACCEPT CHECK
12.3.2 CARTONBOARD 1000 t 71 91946 106 155255 236 246592 178 288642 OK OK OK OK OK OK OK OK 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD NAC/ t 1301 1464 1043 1624 ACCEPT CHECK
12.3.3 WRAPPING PAPERS 1000 t 116 99803 113 142740 72 96784 65 123784 OK OK OK OK OK OK OK OK 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS NAC/ t 864 1265 1342 1913 ACCEPT CHECK
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 2 1044 1 877 163 83969 115 96198 OK OK OK OK OK OK OK OK 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/ t 650 745 517 834 ACCEPT CHECK
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 21 16136 26 26052 5 13507 7 17677 OK OK OK OK OK OK OK OK 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) NAC/ t 775 998 2753 2385 CHECK CHECK
15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 0 0 9 7732 0 0 1 2055 OK OK OK OK OK OK OK OK 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 OK OK OK OK OK OK OK OK 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 NAC/ m3 0 825 0 1653 CHECK CHECK
15.1 GLULAM 1000 m3 0 0 9 7248 0 0 1 1116 OK OK OK OK OK OK OK OK 15.1 GLULAM 1000 m3 15.1 GLULAM NAC/ m3 0 845 0 1760 CHECK CHECK
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 0 0 1 484 0 0 1 940 OK OK OK OK OK OK OK OK 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) NAC/ m3 0 612 0 1541 CHECK CHECK
16 I BEAMS (I-JOISTS)1 1000 t 0 0 0 0 0 0 0 167 OK OK OK OK OK OK OK OK 16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 NAC/ t 0 0 0 536 ACCEPT CHECK
To fill: 0 0 0 0 0 0 0 0

EU2 Removals

Country: 0 Date:
Name of Official responsible for reply: 0
Official Address (in full):
0
Phone/Fax: 0 0
E-mail: 0
FOREST SECTOR QUESTIONNAIRE EU2
Removals by type of ownership
Discrepancies
Product code Ownership Flag Flag Note Note Product code Ownership
Unit 2021 2022 2021 2022 2021 2022 Unit 2021 2022
Quantity Quantity Quantity Quantity
ROUNDWOOD REMOVALS (under bark) ROUNDWOOD REMOVALS
1 ROUNDWOOD 1000 m3 1 ROUNDWOOD 1000 m3 OK OK
1.C Coniferous 1000 m3 1.C Coniferous 1000 m3 OK OK
1.NC Non-coniferous 1000 m3 1.NC Non-coniferous 1000 m3 OK OK
State forests 1000 m3 State forests 1000 m3 OK OK
Coniferous 1000 m3 Coniferous 1000 m3
Non-coniferous 1000 m3 Non-coniferous 1000 m3
Other publicly owned forests 1000 m3 Other publicly owned forests 1000 m3 OK OK
Coniferous 1000 m3 Coniferous 1000 m3
Non-coniferous 1000 m3 Non-coniferous 1000 m3
Private forest 1000 m3 Private forest 1000 m3 OK OK
Coniferous 1000 m3 Coniferous 1000 m3
Non-coniferous 1000 m3 Non-coniferous 1000 m3
To fill: 12 12
Note:
Ownership categories correspond to those of the TBFRA.
State forests: Forests owned by national, state and regional governments, or government-owned corporations; Crown forests.
Other publicly owned forests: Forests belonging to cities, municipalities, villages and communes.
Private forests: Forests owned by individuals, co-operatives, enterprises and industries and other private institutions.
The unit should be solid cubic metres, under bark.

ITTO1-Estimates

Country: 0 Date:
Name of Official responsible for reply: 0
Official Address (in full): 0
ITTO1
Telephone: 0 Fax: 0
FOREST SECTOR QUESTIONNAIRE E-mail: 0
Production and Trade Estimates for 2023
Specify Currency and Unit of Value (e.g.:1000 US $): __________
Product Unit of Production Imports Exports
Code Product quantity Quantity Quantity Value Quantity Value
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub
1.2.C Coniferous 1000 m3ub
1.2.NC Non-Coniferous 1000 m3ub
1.2.NC.T of which: Tropical1 1000 m3ub
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3
6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical1 1000 m3
7 VENEER SHEETS 1000 m3
7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3
8.1 PLYWOOD 1000 m3
8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3
1 Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
m3 = cubic metres solid volume
m3ub = cubic metres solid volume underbark (i.e. excluding bark)

ITTO2-Species

Country: 0 Date:
ITTO2 Name of Official responsible for reply: 0
Official Address (in full): 0
FOREST SECTOR QUESTIONNAIRE
Trade in Tropical Species Telephone: 0 Fax: 0
E-mail: 0
Specify Currency and Unit of Value (e.g.:1000 US $): ____________
I M P O R T E X P O R T
Product Classifications 2021 2022 2021 2022
HS2022/HS2017/HS2012/HS2007 Scientific Name Local/Trade Name Quantity Value Quantity Value Quantity Value Quantity Value
(1000 m3) (1000 m3) (1000 m3) (1000 m3)
1.2.NC.T HS2022:
Industrial Roundwood, Tropical ex4403.12 4403.41/42/49
HS2017:
ex4403.12 4403.41/49
HS2012/2007:
ex4403.10 4403.41/49 ex4403.99
6.NC.T HS2022:
Sawnwood, Tropical ex4406.12/92 4407.21/22/23/25/26/27/28/29
HS2017:
ex4406.12/92 4407.21/22/25/26/27/28/29
HS2012/2007:
ex4406.10/90 4407.21/22/25/26/27/28/30
7.NC.T HS2022:
Veneer Sheets, Tropical 4408.31/39
HS2017:
4408.31/39
HS2012/2007:
4408.31/39 ex4408.90
8.1.NC.T HS2022:
Plywood, Tropical 4412.31/41/51/91
HS2017:
4412.31 ex4412.94/99
HS2012/2007:
4412.31 ex4412.32/94/99
Note: List the major species traded in each category. Use additional sheet if more species are to be explicitly reported. For tropical plywood, identify by face veneer if composed of more than one species.

ITTO3-Miscellaneous

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

TS-OB

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
0 P.OB 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P.OB 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ1

% Min: 80% Max: 120% Notes
JQ1 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
0 P 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ2

% Min: 80% Max: 120% Notes
JQ2 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
Q 0 M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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0 X 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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0 X 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-JQ3

% Min: 80% Max: 120% Notes
JQ3 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
0 M 1000 NAC 11_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 11_7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC 12_7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 11_7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 12_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 12_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 12_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 12_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 12_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 12_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 12_6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-ECEEU

% Min: 80% Max: 120% Notes
ECEEU Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
Q 0 M 1000 m3 ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_1_2_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_C_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_C_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 M 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 M 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 M 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 X 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 X 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 X 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-EU1

% Min: 80% Max: 120% Notes
EU1 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
Q 0 EX_M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_X 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_X 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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0 EX_X 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_X 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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0 EX_M 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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0 EX_X 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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0 EX_M 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_X 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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0 EX_M 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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0 EX_X 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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Q 0 EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_M 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q 0 EX_X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 EX_X 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV 0 EX_X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

TS-EU2

% Min: 80% Max: 120% Notes
EU2 Country Flow Unit Product 2017 2018 2019 2020 2021 2021 2022 17/18 18/19 19/20 20/21 21/21 21/22 2017 2018 2019 2020
0 P 1000 m3 EU2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
0 P 1000 m3 EU2_1_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!

Annex1 | JQ1-Corres.

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

Annex2 | JQ2-Corres.

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

Annex3 | JQ3-Corres.

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

Annex4 |JQ2-JQ3-Corres.

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

Conversion factors

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

Flatfile

geo stk_flow time prod_wd treespec unit obs_value obs_flag
0 PRD 2021 RW_OB TOTAL THS_M3
0 PRD 2021 RW_FW_OB TOTAL THS_M3
0 PRD 2021 RW_FW_OB CONIF THS_M3
0 PRD 2021 RW_FW_OB NCONIF THS_M3
0 PRD 2021 RW_IN_OB TOTAL THS_M3
0 PRD 2021 RW_IN_OB CONIF THS_M3
0 PRD 2021 RW_IN_OB NCONIF THS_M3
0 PRD 2021 RW_IN_OB NC_TRO THS_M3
0 PRD 2021 RW_IN_LG_OB TOTAL THS_M3
0 PRD 2021 RW_IN_LG_OB CONIF THS_M3
0 PRD 2021 RW_IN_LG_OB NCONIF THS_M3
0 PRD 2021 RW_IN_PW_OB TOTAL THS_M3
0 PRD 2021 RW_IN_PW_OB CONIF THS_M3
0 PRD 2021 RW_IN_PW_OB NCONIF THS_M3
0 PRD 2021 RW_IN_O_OB TOTAL THS_M3
0 PRD 2021 RW_IN_O_OB CONIF THS_M3
0 PRD 2021 RW_IN_O_OB NCONIF THS_M3
0 PRD 2022 RW_OB TOTAL THS_M3
0 PRD 2022 RW_FW_OB TOTAL THS_M3
0 PRD 2022 RW_FW_OB CONIF THS_M3
0 PRD 2022 RW_FW_OB NCONIF THS_M3
0 PRD 2022 RW_IN_OB TOTAL THS_M3
0 PRD 2022 RW_IN_OB CONIF THS_M3
0 PRD 2022 RW_IN_OB NCONIF THS_M3
0 PRD 2022 RW_IN_OB NC_TRO THS_M3
0 PRD 2022 RW_IN_LG_OB TOTAL THS_M3
0 PRD 2022 RW_IN_LG_OB CONIF THS_M3
0 PRD 2022 RW_IN_LG_OB NCONIF THS_M3
0 PRD 2022 RW_IN_PW_OB TOTAL THS_M3
0 PRD 2022 RW_IN_PW_OB CONIF THS_M3
0 PRD 2022 RW_IN_PW_OB NCONIF THS_M3
0 PRD 2022 RW_IN_O_OB TOTAL THS_M3
0 PRD 2022 RW_IN_O_OB CONIF THS_M3
0 PRD 2022 RW_IN_O_OB NCONIF THS_M3
0 PRD 2021 RW TOTAL THS_M3
0 PRD 2021 RW_FW TOTAL THS_M3
0 PRD 2021 RW_FW CONIF THS_M3
0 PRD 2021 RW_FW NCONIF THS_M3
0 PRD 2021 RW_IN TOTAL THS_M3
0 PRD 2021 RW_IN CONIF THS_M3
0 PRD 2021 RW_IN NCONIF THS_M3
0 PRD 2021 RW_IN NC_TRO THS_M3
0 PRD 2021 RW_IN_LG TOTAL THS_M3
0 PRD 2021 RW_IN_LG CONIF THS_M3
0 PRD 2021 RW_IN_LG NCONIF THS_M3
0 PRD 2021 RW_IN_PW TOTAL THS_M3
0 PRD 2021 RW_IN_PW CONIF THS_M3
0 PRD 2021 RW_IN_PW NCONIF THS_M3
0 PRD 2021 RW_IN_O TOTAL THS_M3
0 PRD 2021 RW_IN_O CONIF THS_M3
0 PRD 2021 RW_IN_O NCONIF THS_M3
0 PRD 2021 CHA TOTAL THS_T
0 PRD 2021 CHP_RES TOTAL THS_M3 3600
0 PRD 2021 CHP TOTAL THS_M3 3600
0 PRD 2021 RES TOTAL THS_M3
0 PRD 2021 RES_SWD TOTAL THS_M3
0 PRD 2021 RCW TOTAL THS_T
0 PRD 2021 PEL_AGG TOTAL THS_T 425
0 PRD 2021 PEL TOTAL THS_T 405
0 PRD 2021 AGG TOTAL THS_T 20
0 PRD 2021 SN TOTAL THS_M3
0 PRD 2021 SN CONIF THS_M3
0 PRD 2021 SN NCONIF THS_M3
0 PRD 2021 SN NC_TRO THS_M3
0 PRD 2021 PN_VN TOTAL THS_M3
0 PRD 2021 PN_VN CONIF THS_M3
0 PRD 2021 PN_VN NCONIF THS_M3
0 PRD 2021 PN_VN NC_TRO THS_M3
0 PRD 2021 PN TOTAL THS_M3
0 PRD 2021 PN_PY TOTAL THS_M3
0 PRD 2021 PN_PY CONIF THS_M3
0 PRD 2021 PN_PY NCONIF THS_M3
0 PRD 2021 PN_PY NC_TRO THS_M3
0 PRD 2021 PN_PY_LVL TOTAL THS_M3
0 PRD 2021 PN_PY_LVL CONIF THS_M3
0 PRD 2021 PN_PY_LVL NCONIF THS_M3
0 PRD 2021 PN_PY_LVL NC_TRO THS_M3
0 PRD 2021 PN_PB TOTAL THS_M3
0 PRD 2021 PN_PB_OSB TOTAL THS_M3
0 PRD 2021 PN_FB TOTAL THS_M3
0 PRD 2021 PN_FB_HB TOTAL THS_M3
0 PRD 2021 PN_FB_MDF TOTAL THS_M3
0 PRD 2021 PN_FB_O TOTAL THS_M3
0 PRD 2021 PL TOTAL THS_T 243 7
0 PRD 2021 PL_MC_SCH TOTAL THS_T
0 PRD 2021 PL_CH TOTAL THS_T
0 PRD 2021 PL_CH_SA TOTAL THS_T
0 PRD 2021 PL_CH_SAB TOTAL THS_T
0 PRD 2021 PL_CH_SI TOTAL THS_T
0 PRD 2021 PL_DS TOTAL THS_T
0 PRD 2021 PLO TOTAL THS_T
0 PRD 2021 PLO_NW TOTAL THS_T
0 PRD 2021 PLO_RC TOTAL THS_T
0 PRD 2021 RCP TOTAL THS_T 6060 9
0 PRD 2021 PP TOTAL THS_T 9489 9
0 PRD 2021 PP_GR TOTAL THS_T 1884 9
0 PRD 2021 PP_GR_NP TOTAL THS_T
0 PRD 2021 PP_GR_MC TOTAL THS_T 35 9
0 PRD 2021 PP_GR_NW TOTAL THS_T 586 9
0 PRD 2021 PP_GR_CO TOTAL THS_T 1263 9
0 PRD 2021 PP_HS TOTAL THS_T 1588 9
0 PRD 2021 PP_PK TOTAL THS_T 5529 9
0 PRD 2021 PP_PK_CS TOTAL THS_T 3206 9
0 PRD 2021 PP_PK_CB TOTAL THS_T
0 PRD 2021 PP_PK_WR TOTAL THS_T 596 9
0 PRD 2021 PP_PK_O TOTAL THS_T 1727 9
0 PRD 2021 PP_O TOTAL THS_T 488 9
0 PRD 2021 GLT_CLT TOTAL THS_M3
0 PRD 2021 GLT TOTAL THS_M3
0 PRD 2021 CLT TOTAL THS_M3
0 PRD 2021 I_BEAMS TOTAL THS_T
0 PRD 2022 RW TOTAL THS_M3
0 PRD 2022 RW_FW TOTAL THS_M3
0 PRD 2022 RW_FW CONIF THS_M3
0 PRD 2022 RW_FW NCONIF THS_M3
0 PRD 2022 RW_IN TOTAL THS_M3
0 PRD 2022 RW_IN CONIF THS_M3
0 PRD 2022 RW_IN NCONIF THS_M3
0 PRD 2022 RW_IN NC_TRO THS_M3
0 PRD 2022 RW_IN_LG TOTAL THS_M3
0 PRD 2022 RW_IN_LG CONIF THS_M3
0 PRD 2022 RW_IN_LG NCONIF THS_M3
0 PRD 2022 RW_IN_PW TOTAL THS_M3
0 PRD 2022 RW_IN_PW CONIF THS_M3
0 PRD 2022 RW_IN_PW NCONIF THS_M3
0 PRD 2022 RW_IN_O TOTAL THS_M3
0 PRD 2022 RW_IN_O CONIF THS_M3
0 PRD 2022 RW_IN_O NCONIF THS_M3
0 PRD 2022 CHA TOTAL THS_T
0 PRD 2022 CHP_RES TOTAL THS_M3 3600
0 PRD 2022 CHP TOTAL THS_M3 3600
0 PRD 2022 RES TOTAL THS_M3
0 PRD 2022 RES_SWD TOTAL THS_M3
0 PRD 2022 RCW TOTAL THS_T
0 PRD 2022 PEL_AGG TOTAL THS_T 470
0 PRD 2022 PEL TOTAL THS_T 450
0 PRD 2022 AGG TOTAL THS_T 20
0 PRD 2022 SN TOTAL THS_M3
0 PRD 2022 SN CONIF THS_M3
0 PRD 2022 SN NCONIF THS_M3
0 PRD 2022 SN NC_TRO THS_M3
0 PRD 2022 PN_VN TOTAL THS_M3
0 PRD 2022 PN_VN CONIF THS_M3
0 PRD 2022 PN_VN NCONIF THS_M3
0 PRD 2022 PN_VN NC_TRO THS_M3
0 PRD 2022 PN TOTAL THS_M3
0 PRD 2022 PN_PY TOTAL THS_M3
0 PRD 2022 PN_PY CONIF THS_M3
0 PRD 2022 PN_PY NCONIF THS_M3
0 PRD 2022 PN_PY NC_TRO THS_M3
0 PRD 2022 PN_PY_LVL TOTAL THS_M3
0 PRD 2022 PN_PY_LVL CONIF THS_M3
0 PRD 2022 PN_PY_LVL NCONIF THS_M3
0 PRD 2022 PN_PY_LVL NC_TRO THS_M3
0 PRD 2022 PN_PB TOTAL THS_M3
0 PRD 2022 PN_PB_OSB TOTAL THS_M3
0 PRD 2022 PN_FB TOTAL THS_M3
0 PRD 2022 PN_FB_HB TOTAL THS_M3
0 PRD 2022 PN_FB_MDF TOTAL THS_M3
0 PRD 2022 PN_FB_O TOTAL THS_M3
0 PRD 2022 PL TOTAL THS_T 201 7
0 PRD 2022 PL_MC_SCH TOTAL THS_T
0 PRD 2022 PL_CH TOTAL THS_T
0 PRD 2022 PL_CH_SA TOTAL THS_T
0 PRD 2022 PL_CH_SAB TOTAL THS_T
0 PRD 2022 PL_CH_SI TOTAL THS_T
0 PRD 2022 PL_DS TOTAL THS_T
0 PRD 2022 PLO TOTAL THS_T
0 PRD 2022 PLO_NW TOTAL THS_T
0 PRD 2022 PLO_RC TOTAL THS_T
0 PRD 2022 RCP TOTAL THS_T 5394 9
0 PRD 2022 PP TOTAL THS_T 8696 9
0 PRD 2022 PP_GR TOTAL THS_T 1701 9
0 PRD 2022 PP_GR_NP TOTAL THS_T
0 PRD 2022 PP_GR_MC TOTAL THS_T 19 9
0 PRD 2022 PP_GR_NW TOTAL THS_T 580 9
0 PRD 2022 PP_GR_CO TOTAL THS_T 1102 9
0 PRD 2022 PP_HS TOTAL THS_T 1592 9
0 PRD 2022 PP_PK TOTAL THS_T 4977 9
0 PRD 2022 PP_PK_CS TOTAL THS_T 2848 9
0 PRD 2022 PP_PK_CB TOTAL THS_T NA (included in Other P. mainly for Pack))
0 PRD 2022 PP_PK_WR TOTAL THS_T 554 9
0 PRD 2022 PP_PK_O TOTAL THS_T 1574 9
0 PRD 2022 PP_O TOTAL THS_T 426 9
0 PRD 2022 GLT_CLT TOTAL THS_M3
0 PRD 2022 GLT TOTAL THS_M3
0 PRD 2022 CLT TOTAL THS_M3
0 PRD 2022 I_BEAMS TOTAL THS_T
0 IMP 2021 RW TOTAL THS_M3 4069.8587243697
0 IMP 2021 RW_FW TOTAL THS_M3 780.4106487395
0 IMP 2021 RW_FW CONIF THS_M3 69.5869445378
0 IMP 2021 RW_FW NCONIF THS_M3 710.8237042017
0 IMP 2021 RW_IN TOTAL THS_M3 3289.4480756303
0 IMP 2021 RW_IN CONIF THS_M3 918.6647529412
0 IMP 2021 RW_IN NCONIF THS_M3 2370.7833226891
0 IMP 2021 RW_IN NC_TRO THS_M3 28.9237563025
0 IMP 2021 CHA TOTAL THS_T 68.270256
0 IMP 2021 CHP_RES TOTAL THS_M3 1252.3865277311
0 IMP 2021 CHP TOTAL THS_M3 727.0106991597
0 IMP 2021 RES TOTAL THS_M3 525.3758285714
0 IMP 2021 RES_SWD TOTAL THS_M3 262.6879142857
0 IMP 2021 RCW TOTAL THS_T 0
0 IMP 2021 PEL_AGG TOTAL THS_T 2216.629445
0 IMP 2021 PEL TOTAL THS_T 2124.088703
0 IMP 2021 AGG TOTAL THS_T 92.540742
0 IMP 2021 SN TOTAL THS_M3 5079.0662588235
0 IMP 2021 SN CONIF THS_M3 4303.9627411765
0 IMP 2021 SN NCONIF THS_M3 775.1035176471
0 IMP 2021 SN NC_TRO THS_M3 104.3995714286
0 IMP 2021 PN_VN TOTAL THS_M3 240.6503294118
0 IMP 2021 PN_VN CONIF THS_M3 5.6910638655
0 IMP 2021 PN_VN NCONIF THS_M3 234.9592655462
0 IMP 2021 PN_VN NC_TRO THS_M3 103.4166890756
0 IMP 2021 PN TOTAL THS_M3 2789.3254907563
0 IMP 2021 PN_PY TOTAL THS_M3 539.3728655462
0 IMP 2021 PN_PY CONIF THS_M3 248.9345714286
0 IMP 2021 PN_PY NCONIF THS_M3 290.4382941176
0 IMP 2021 PN_PY NC_TRO THS_M3 65.1645680672
0 IMP 2021 PN_PY_LVL TOTAL THS_M3 8.5666134454
0 IMP 2021 PN_PY_LVL CONIF THS_M3 4.2833067227
0 IMP 2021 PN_PY_LVL NCONIF THS_M3 4.2833067227
0 IMP 2021 PN_PY_LVL NC_TRO THS_M3 2.1416533613
0 IMP 2021 PN_PB TOTAL THS_M3 1355.7373714286
0 IMP 2021 PN_PB_OSB TOTAL THS_M3 187.6267714286
0 IMP 2021 PN_FB TOTAL THS_M3 894.2152537815
0 IMP 2021 PN_FB_HB TOTAL THS_M3 121.4076588235
0 IMP 2021 PN_FB_MDF TOTAL THS_M3 699.4783378151
0 IMP 2021 PN_FB_O TOTAL THS_M3 73.3292571429
0 IMP 2021 PL TOTAL THS_T 3316.478156
0 IMP 2021 PL_MC_SCH TOTAL THS_T 159.567254
0 IMP 2021 PL_CH TOTAL THS_T 3155.774649
0 IMP 2021 PL_CH_SA TOTAL THS_T 3129.938755
0 IMP 2021 PL_CH_SAB TOTAL THS_T 3109.989233
0 IMP 2021 PL_CH_SI TOTAL THS_T 25.835894
0 IMP 2021 PL_DS TOTAL THS_T 1.136253
0 IMP 2021 PLO TOTAL THS_T 38.578341
0 IMP 2021 PLO_NW TOTAL THS_T 19.682127
0 IMP 2021 PLO_RC TOTAL THS_T 18.896214
0 IMP 2021 RCP TOTAL THS_T 366.480424
0 IMP 2021 PP TOTAL THS_T 4799.881753
0 IMP 2021 PP_GR TOTAL THS_T 1546.520596
0 IMP 2021 PP_GR_NP TOTAL THS_T 354.82724
0 IMP 2021 PP_GR_MC TOTAL THS_T 234.834583
0 IMP 2021 PP_GR_NW TOTAL THS_T 500.775789
0 IMP 2021 PP_GR_CO TOTAL THS_T 456.082984
0 IMP 2021 PP_HS TOTAL THS_T 19.150298
0 IMP 2021 PP_PK TOTAL THS_T 3179.384598
0 IMP 2021 PP_PK_CS TOTAL THS_T 1873.061556
0 IMP 2021 PP_PK_CB TOTAL THS_T 761.808277
0 IMP 2021 PP_PK_WR TOTAL THS_T 529.825661
0 IMP 2021 PP_PK_O TOTAL THS_T 14.689104
0 IMP 2021 PP_O TOTAL THS_T 54.826261
0 IMP 2021 GLT_CLT TOTAL THS_M3 0
0 IMP 2021 GLT TOTAL THS_M3 0
0 IMP 2021 CLT TOTAL THS_M3 0
0 IMP 2021 I_BEAMS TOTAL THS_T 0
0 IMP 2021 RW TOTAL THS_NAC 291077.623
0 IMP 2021 RW_FW TOTAL THS_NAC 50200.434
0 IMP 2021 RW_FW CONIF THS_NAC 6245.888
0 IMP 2021 RW_FW NCONIF THS_NAC 43954.546
0 IMP 2021 RW_IN TOTAL THS_NAC 240877.189
0 IMP 2021 RW_IN CONIF THS_NAC 72067.859
0 IMP 2021 RW_IN NCONIF THS_NAC 168809.33
0 IMP 2021 RW_IN NC_TRO THS_NAC 6092.353
0 IMP 2021 CHA TOTAL THS_NAC 27835.996
0 IMP 2021 CHP_RES TOTAL THS_NAC 43843.294
0 IMP 2021 CHP TOTAL THS_NAC 22083.594
0 IMP 2021 RES TOTAL THS_NAC 21759.7
0 IMP 2021 RES_SWD TOTAL THS_NAC 10879.85
0 IMP 2021 RCW TOTAL THS_NAC 0
0 IMP 2021 PEL_AGG TOTAL THS_NAC 409973.064
0 IMP 2021 PEL TOTAL THS_NAC 399591.791
0 IMP 2021 AGG TOTAL THS_NAC 10381.273
0 IMP 2021 SN TOTAL THS_NAC 1536392.447
0 IMP 2021 SN CONIF THS_NAC 1238358.08
0 IMP 2021 SN NCONIF THS_NAC 298034.367
0 IMP 2021 SN NC_TRO THS_NAC 63688.755
0 IMP 2021 PN_VN TOTAL THS_NAC 222106.533
0 IMP 2021 PN_VN CONIF THS_NAC 5000.522
0 IMP 2021 PN_VN NCONIF THS_NAC 217106.011
0 IMP 2021 PN_VN NC_TRO THS_NAC 73852.118
0 IMP 2021 PN TOTAL THS_NAC 882830.822
0 IMP 2021 PN_PY TOTAL THS_NAC 302899.541
0 IMP 2021 PN_PY CONIF THS_NAC 123096.7215
0 IMP 2021 PN_PY NCONIF THS_NAC 179802.8195
0 IMP 2021 PN_PY NC_TRO THS_NAC 52449.09875
0 IMP 2021 PN_PY_LVL TOTAL THS_NAC 6498.3085
0 IMP 2021 PN_PY_LVL CONIF THS_NAC 3249.15425
0 IMP 2021 PN_PY_LVL NCONIF THS_NAC 3249.15425
0 IMP 2021 PN_PY_LVL NC_TRO THS_NAC 1624.577125
0 IMP 2021 PN_PB TOTAL THS_NAC 311154.59
0 IMP 2021 PN_PB_OSB TOTAL THS_NAC 62713.906
0 IMP 2021 PN_FB TOTAL THS_NAC 268776.691
0 IMP 2021 PN_FB_HB TOTAL THS_NAC 47358.739
0 IMP 2021 PN_FB_MDF TOTAL THS_NAC 198348.674
0 IMP 2021 PN_FB_O TOTAL THS_NAC 23069.278
0 IMP 2021 PL TOTAL THS_NAC 1856836.431
0 IMP 2021 PL_MC_SCH TOTAL THS_NAC 67499.846
0 IMP 2021 PL_CH TOTAL THS_NAC 1788399.96
0 IMP 2021 PL_CH_SA TOTAL THS_NAC 1769049.322
0 IMP 2021 PL_CH_SAB TOTAL THS_NAC 1759361.75
0 IMP 2021 PL_CH_SI TOTAL THS_NAC 19350.638
0 IMP 2021 PL_DS TOTAL THS_NAC 936.625
0 IMP 2021 PLO TOTAL THS_NAC 34245.481
0 IMP 2021 PLO_NW TOTAL THS_NAC 22602.454
0 IMP 2021 PLO_RC TOTAL THS_NAC 11643.027
0 IMP 2021 RCP TOTAL THS_NAC 94079.332
0 IMP 2021 PP TOTAL THS_NAC 3568842.549
0 IMP 2021 PP_GR TOTAL THS_NAC 1047254.173
0 IMP 2021 PP_GR_NP TOTAL THS_NAC 156682.232
0 IMP 2021 PP_GR_MC TOTAL THS_NAC 135195.321
0 IMP 2021 PP_GR_NW TOTAL THS_NAC 410981.014
0 IMP 2021 PP_GR_CO TOTAL THS_NAC 344395.606
0 IMP 2021 PP_HS TOTAL THS_NAC 39357.883
0 IMP 2021 PP_PK TOTAL THS_NAC 2393419.212
0 IMP 2021 PP_PK_CS TOTAL THS_NAC 1052685.816
0 IMP 2021 PP_PK_CB TOTAL THS_NAC 803773.482
0 IMP 2021 PP_PK_WR TOTAL THS_NAC 524246.643
0 IMP 2021 PP_PK_O TOTAL THS_NAC 12713.271
0 IMP 2021 PP_O TOTAL THS_NAC 88811.281
0 IMP 2021 GLT_CLT TOTAL THS_NAC 0
0 IMP 2021 GLT TOTAL THS_NAC 0
0 IMP 2021 CLT TOTAL THS_NAC 0
0 IMP 2021 I_BEAMS TOTAL THS_NAC 0
0 IMP 2022 RW TOTAL THS_M3 3609.9089831933
0 IMP 2022 RW_FW TOTAL THS_M3 541.0994168067
0 IMP 2022 RW_FW CONIF THS_M3 81.9524605042
0 IMP 2022 RW_FW NCONIF THS_M3 459.1469563025
0 IMP 2022 RW_IN TOTAL THS_M3 3068.8095663866
0 IMP 2022 RW_IN CONIF THS_M3 841.2377915966
0 IMP 2022 RW_IN NCONIF THS_M3 2227.5717747899
0 IMP 2022 RW_IN NC_TRO THS_M3 38.9016403361
0 IMP 2022 CHA TOTAL THS_T 56.660973
0 IMP 2022 CHP_RES TOTAL THS_M3 1287.5963983193
0 IMP 2022 CHP TOTAL THS_M3 558.699389916
0 IMP 2022 RES TOTAL THS_M3 728.8970084034
0 IMP 2022 RES_SWD TOTAL THS_M3 208.9434218487
0 IMP 2022 RCW TOTAL THS_T 0
0 IMP 2022 PEL_AGG TOTAL THS_T 2066.979252
0 IMP 2022 PEL TOTAL THS_T 1915.516003
0 IMP 2022 AGG TOTAL THS_T 151.463249
0 IMP 2022 SN TOTAL THS_M3 6061.6336487395
0 IMP 2022 SN CONIF THS_M3 5243.3065546219
0 IMP 2022 SN NCONIF THS_M3 818.3270941176
0 IMP 2022 SN NC_TRO THS_M3 153.9783319328
0 IMP 2022 PN_VN TOTAL THS_M3 255.6539176471
0 IMP 2022 PN_VN CONIF THS_M3 4.5426420168
0 IMP 2022 PN_VN NCONIF THS_M3 251.1112756303
0 IMP 2022 PN_VN NC_TRO THS_M3 92.2509714286
0 IMP 2022 PN TOTAL THS_M3 3542.2813478992
0 IMP 2022 PN_PY TOTAL THS_M3 582.2026655462
0 IMP 2022 PN_PY CONIF THS_M3 287.8909092437
0 IMP 2022 PN_PY NCONIF THS_M3 294.3117563025
0 IMP 2022 PN_PY NC_TRO THS_M3 77.1244285714
0 IMP 2022 PN_PY_LVL TOTAL THS_M3 1.5654403361
0 IMP 2022 PN_PY_LVL CONIF THS_M3 0.7037344538
0 IMP 2022 PN_PY_LVL NCONIF THS_M3 0.8617058824
0 IMP 2022 PN_PY_LVL NC_TRO THS_M3 0.6417815126
0 IMP 2022 PN_PB TOTAL THS_M3 1527.1322336134
0 IMP 2022 PN_PB_OSB TOTAL THS_M3 295.129102521
0 IMP 2022 PN_FB TOTAL THS_M3 1432.9464487395
0 IMP 2022 PN_FB_HB TOTAL THS_M3 282.8210840336
0 IMP 2022 PN_FB_MDF TOTAL THS_M3 1065.1449210084
0 IMP 2022 PN_FB_O TOTAL THS_M3 84.9804436975
0 IMP 2022 PL TOTAL THS_T 3536.35509
0 IMP 2022 PL_MC_SCH TOTAL THS_T 182.499357
0 IMP 2022 PL_CH TOTAL THS_T 3351.731292
0 IMP 2022 PL_CH_SA TOTAL THS_T 3319.738508
0 IMP 2022 PL_CH_SAB TOTAL THS_T 3297.190254
0 IMP 2022 PL_CH_SI TOTAL THS_T 31.992784
0 IMP 2022 PL_DS TOTAL THS_T 2.124441
0 IMP 2022 PLO TOTAL THS_T 29.144311
0 IMP 2022 PLO_NW TOTAL THS_T 9.913811
0 IMP 2022 PLO_RC TOTAL THS_T 19.2305
0 IMP 2022 RCP TOTAL THS_T 295.553253
0 IMP 2022 PP TOTAL THS_T 5549.471269
0 IMP 2022 PP_GR TOTAL THS_T 1651.336206
0 IMP 2022 PP_GR_NP TOTAL THS_T 390.013592
0 IMP 2022 PP_GR_MC TOTAL THS_T 278.707103
0 IMP 2022 PP_GR_NW TOTAL THS_T 465.637186
0 IMP 2022 PP_GR_CO TOTAL THS_T 516.978325
0 IMP 2022 PP_HS TOTAL THS_T 25.087907
0 IMP 2022 PP_PK TOTAL THS_T 3808.10893
0 IMP 2022 PP_PK_CS TOTAL THS_T 2291.728208
0 IMP 2022 PP_PK_CB TOTAL THS_T 910.848847
0 IMP 2022 PP_PK_WR TOTAL THS_T 574.544607
0 IMP 2022 PP_PK_O TOTAL THS_T 30.987268
0 IMP 2022 PP_O TOTAL THS_T 64.938226
0 IMP 2022 GLT_CLT TOTAL THS_M3 430.7259613445
0 IMP 2022 GLT TOTAL THS_M3 401.5456352941
0 IMP 2022 CLT TOTAL THS_M3 29.1803260504
0 IMP 2022 I_BEAMS TOTAL THS_T 0.024979
0 IMP 2022 RW TOTAL THS_NAC 330456.356
0 IMP 2022 RW_FW TOTAL THS_NAC 50009.426
0 IMP 2022 RW_FW CONIF THS_NAC 8807.528
0 IMP 2022 RW_FW NCONIF THS_NAC 41201.898
0 IMP 2022 RW_IN TOTAL THS_NAC 280446.93
0 IMP 2022 RW_IN CONIF THS_NAC 81425.023
0 IMP 2022 RW_IN NCONIF THS_NAC 199021.907
0 IMP 2022 RW_IN NC_TRO THS_NAC 13828.9985
0 IMP 2022 CHA TOTAL THS_NAC 31912.562
0 IMP 2022 CHP_RES TOTAL THS_NAC 51893.263
0 IMP 2022 CHP TOTAL THS_NAC 29193.642
0 IMP 2022 RES TOTAL THS_NAC 22699.621
0 IMP 2022 RES_SWD TOTAL THS_NAC 11353.446
0 IMP 2022 RCW TOTAL THS_NAC 0
0 IMP 2022 PEL_AGG TOTAL THS_NAC 694781.956
0 IMP 2022 PEL TOTAL THS_NAC 679446.192
0 IMP 2022 AGG TOTAL THS_NAC 15335.764
0 IMP 2022 SN TOTAL THS_NAC 2209526.168
0 IMP 2022 SN CONIF THS_NAC 1782960.607
0 IMP 2022 SN NCONIF THS_NAC 426565.561
0 IMP 2022 SN NC_TRO THS_NAC 111281.762
0 IMP 2022 PN_VN TOTAL THS_NAC 236012.852
0 IMP 2022 PN_VN CONIF THS_NAC 4403.945
0 IMP 2022 PN_VN NCONIF THS_NAC 231608.907
0 IMP 2022 PN_VN NC_TRO THS_NAC 71942.164
0 IMP 2022 PN TOTAL THS_NAC 1449941.486
0 IMP 2022 PN_PY TOTAL THS_NAC 438537.344
0 IMP 2022 PN_PY CONIF THS_NAC 192012.497
0 IMP 2022 PN_PY NCONIF THS_NAC 246524.847
0 IMP 2022 PN_PY NC_TRO THS_NAC 78612.271
0 IMP 2022 PN_PY_LVL TOTAL THS_NAC 1032.778
0 IMP 2022 PN_PY_LVL CONIF THS_NAC 651.378
0 IMP 2022 PN_PY_LVL NCONIF THS_NAC 381.4
0 IMP 2022 PN_PY_LVL NC_TRO THS_NAC 233.439
0 IMP 2022 PN_PB TOTAL THS_NAC 468129.591
0 IMP 2022 PN_PB_OSB TOTAL THS_NAC 101859.082
0 IMP 2022 PN_FB TOTAL THS_NAC 543274.551
0 IMP 2022 PN_FB_HB TOTAL THS_NAC 79434.906
0 IMP 2022 PN_FB_MDF TOTAL THS_NAC 423949.187
0 IMP 2022 PN_FB_O TOTAL THS_NAC 39890.458
0 IMP 2022 PL TOTAL THS_NAC 2675172.447
0 IMP 2022 PL_MC_SCH TOTAL THS_NAC 101177.616
0 IMP 2022 PL_CH TOTAL THS_NAC 2571576.147
0 IMP 2022 PL_CH_SA TOTAL THS_NAC 2538989.761
0 IMP 2022 PL_CH_SAB TOTAL THS_NAC 2525597.047
0 IMP 2022 PL_CH_SI TOTAL THS_NAC 32586.386
0 IMP 2022 PL_DS TOTAL THS_NAC 2418.684
0 IMP 2022 PLO TOTAL THS_NAC 34600.264
0 IMP 2022 PLO_NW TOTAL THS_NAC 17605.668
0 IMP 2022 PLO_RC TOTAL THS_NAC 16994.596
0 IMP 2022 RCP TOTAL THS_NAC 101068.934
0 IMP 2022 PP TOTAL THS_NAC 5582915.712
0 IMP 2022 PP_GR TOTAL THS_NAC 1688187.297
0 IMP 2022 PP_GR_NP TOTAL THS_NAC 320156.231
0 IMP 2022 PP_GR_MC TOTAL THS_NAC 250331.259
0 IMP 2022 PP_GR_NW TOTAL THS_NAC 567368.708
0 IMP 2022 PP_GR_CO TOTAL THS_NAC 550331.099
0 IMP 2022 PP_HS TOTAL THS_NAC 67606.044
0 IMP 2022 PP_PK TOTAL THS_NAC 3717625.917
0 IMP 2022 PP_PK_CS TOTAL THS_NAC 1746383.501
0 IMP 2022 PP_PK_CB TOTAL THS_NAC 1171632.761
0 IMP 2022 PP_PK_WR TOTAL THS_NAC 769293.597
0 IMP 2022 PP_PK_O TOTAL THS_NAC 30316.058
0 IMP 2022 PP_O TOTAL THS_NAC 109496.454
0 IMP 2022 GLT_CLT TOTAL THS_NAC 351649.728
0 IMP 2022 GLT TOTAL THS_NAC 324798.732
0 IMP 2022 CLT TOTAL THS_NAC 26850.996
0 IMP 2022 I_BEAMS TOTAL THS_NAC 32.372
0 EXP 2021 RW TOTAL THS_M3 269.2934840336
0 EXP 2021 RW_FW TOTAL THS_M3 10.859789916
0 EXP 2021 RW_FW CONIF THS_M3 4.0696571429
0 EXP 2021 RW_FW NCONIF THS_M3 6.7901327731
0 EXP 2021 RW_IN TOTAL THS_M3 258.4336941176
0 EXP 2021 RW_IN CONIF THS_M3 215.235810084
0 EXP 2021 RW_IN NCONIF THS_M3 43.1978840336
0 EXP 2021 RW_IN NC_TRO THS_M3 11.7814823529
0 EXP 2021 CHA TOTAL THS_T 5.063458
0 EXP 2021 CHP_RES TOTAL THS_M3 92.0030890756
0 EXP 2021 CHP TOTAL THS_M3 68.2862941176
0 EXP 2021 RES TOTAL THS_M3 23.716794958
0 EXP 2021 RES_SWD TOTAL THS_M3 11.858397479
0 EXP 2021 RCW TOTAL THS_T 0
0 EXP 2021 PEL_AGG TOTAL THS_T 15.561608
0 EXP 2021 PEL TOTAL THS_T 8.824976
0 EXP 2021 AGG TOTAL THS_T 6.736632
0 EXP 2021 SN TOTAL THS_M3 600.9460621849
0 EXP 2021 SN CONIF THS_M3 348.7868840336
0 EXP 2021 SN NCONIF THS_M3 252.1591781513
0 EXP 2021 SN NC_TRO THS_M3 13.0324789916
0 EXP 2021 PN_VN TOTAL THS_M3 39.4509428571
0 EXP 2021 PN_VN CONIF THS_M3 0.8429092437
0 EXP 2021 PN_VN NCONIF THS_M3 38.6080336134
0 EXP 2021 PN_VN NC_TRO THS_M3 9.3921529412
0 EXP 2021 PN TOTAL THS_M3 1303.5635310924
0 EXP 2021 PN_PY TOTAL THS_M3 230.4154016807
0 EXP 2021 PN_PY CONIF THS_M3 48.9444579832
0 EXP 2021 PN_PY NCONIF THS_M3 181.4709436975
0 EXP 2021 PN_PY NC_TRO THS_M3 57.2510214286
0 EXP 2021 PN_PY_LVL TOTAL THS_M3 15.6770310924
0 EXP 2021 PN_PY_LVL CONIF THS_M3 7.8385155462
0 EXP 2021 PN_PY_LVL NCONIF THS_M3 7.8385155462
0 EXP 2021 PN_PY_LVL NC_TRO THS_M3 3.9192577731
0 EXP 2021 PN_PB TOTAL THS_M3 697.0051966387
0 EXP 2021 PN_PB_OSB TOTAL THS_M3 41.027497479
0 EXP 2021 PN_FB TOTAL THS_M3 376.1429327731
0 EXP 2021 PN_FB_HB TOTAL THS_M3 15.0847361345
0 EXP 2021 PN_FB_MDF TOTAL THS_M3 356.777994958
0 EXP 2021 PN_FB_O TOTAL THS_M3 4.2802016807
0 EXP 2021 PL TOTAL THS_T 118.798096
0 EXP 2021 PL_MC_SCH TOTAL THS_T 15.744716
0 EXP 2021 PL_CH TOTAL THS_T 103.027879
0 EXP 2021 PL_CH_SA TOTAL THS_T 102.599325
0 EXP 2021 PL_CH_SAB TOTAL THS_T 102.154001
0 EXP 2021 PL_CH_SI TOTAL THS_T 0.428554
0 EXP 2021 PL_DS TOTAL THS_T 0.025501
0 EXP 2021 PLO TOTAL THS_T 2.666405
0 EXP 2021 PLO_NW TOTAL THS_T 0.897099
0 EXP 2021 PLO_RC TOTAL THS_T 1.769306
0 EXP 2021 RCP TOTAL THS_T 1349.399536
0 EXP 2021 PP TOTAL THS_T 3613.805391
0 EXP 2021 PP_GR TOTAL THS_T 1304.076457
0 EXP 2021 PP_GR_NP TOTAL THS_T 2.988901
0 EXP 2021 PP_GR_MC TOTAL THS_T 20.916432
0 EXP 2021 PP_GR_NW TOTAL THS_T 247.127695
0 EXP 2021 PP_GR_CO TOTAL THS_T 1033.043429
0 EXP 2021 PP_HS TOTAL THS_T 391.514303
0 EXP 2021 PP_PK TOTAL THS_T 1910.636254
0 EXP 2021 PP_PK_CS TOTAL THS_T 579.841144
0 EXP 2021 PP_PK_CB TOTAL THS_T 541.865371
0 EXP 2021 PP_PK_WR TOTAL THS_T 345.323016
0 EXP 2021 PP_PK_O TOTAL THS_T 443.606723
0 EXP 2021 PP_O TOTAL THS_T 7.578377
0 EXP 2021 GLT_CLT TOTAL THS_M3 0
0 EXP 2021 GLT TOTAL THS_M3 0
0 EXP 2021 CLT TOTAL THS_M3 0
0 EXP 2021 I_BEAMS TOTAL THS_T 0
0 EXP 2021 RW TOTAL THS_NAC 42698.984
0 EXP 2021 RW_FW TOTAL THS_NAC 968.636
0 EXP 2021 RW_FW CONIF THS_NAC 333.554
0 EXP 2021 RW_FW NCONIF THS_NAC 635.082
0 EXP 2021 RW_IN TOTAL THS_NAC 41730.348
0 EXP 2021 RW_IN CONIF THS_NAC 26368.732
0 EXP 2021 RW_IN NCONIF THS_NAC 15361.616
0 EXP 2021 RW_IN NC_TRO THS_NAC 2788.745
0 EXP 2021 CHA TOTAL THS_NAC 960.135
0 EXP 2021 CHP_RES TOTAL THS_NAC 15088.762
0 EXP 2021 CHP TOTAL THS_NAC 13978.646
0 EXP 2021 RES TOTAL THS_NAC 1110.116
0 EXP 2021 RES_SWD TOTAL THS_NAC 555.058
0 EXP 2021 RCW TOTAL THS_NAC 0
0 EXP 2021 PEL_AGG TOTAL THS_NAC 7874.962
0 EXP 2021 PEL TOTAL THS_NAC 3816.508
0 EXP 2021 AGG TOTAL THS_NAC 4058.454
0 EXP 2021 SN TOTAL THS_NAC 299471.935
0 EXP 2021 SN CONIF THS_NAC 111754.9
0 EXP 2021 SN NCONIF THS_NAC 187717.035
0 EXP 2021 SN NC_TRO THS_NAC 12872.917
0 EXP 2021 PN_VN TOTAL THS_NAC 138139.07
0 EXP 2021 PN_VN CONIF THS_NAC 2086.896
0 EXP 2021 PN_VN NCONIF THS_NAC 136052.174
0 EXP 2021 PN_VN NC_TRO THS_NAC 53438.878
0 EXP 2021 PN TOTAL THS_NAC 753966.8
0 EXP 2021 PN_PY TOTAL THS_NAC 261688.424
0 EXP 2021 PN_PY CONIF THS_NAC 56202.9075
0 EXP 2021 PN_PY NCONIF THS_NAC 205485.5165
0 EXP 2021 PN_PY NC_TRO THS_NAC 71450.96075
0 EXP 2021 PN_PY_LVL TOTAL THS_NAC 18856.346
0 EXP 2021 PN_PY_LVL CONIF THS_NAC 9428.173
0 EXP 2021 PN_PY_LVL NCONIF THS_NAC 9428.173
0 EXP 2021 PN_PY_LVL NC_TRO THS_NAC 4714.0865
0 EXP 2021 PN_PB TOTAL THS_NAC 335712.848
0 EXP 2021 PN_PB_OSB TOTAL THS_NAC 20483.477
0 EXP 2021 PN_FB TOTAL THS_NAC 156565.528
0 EXP 2021 PN_FB_HB TOTAL THS_NAC 13938.731
0 EXP 2021 PN_FB_MDF TOTAL THS_NAC 137987.008
0 EXP 2021 PN_FB_O TOTAL THS_NAC 4639.789
0 EXP 2021 PL TOTAL THS_NAC 80045.295
0 EXP 2021 PL_MC_SCH TOTAL THS_NAC 6823.422
0 EXP 2021 PL_CH TOTAL THS_NAC 73125.821
0 EXP 2021 PL_CH_SA TOTAL THS_NAC 71310.681
0 EXP 2021 PL_CH_SAB TOTAL THS_NAC 70991.174
0 EXP 2021 PL_CH_SI TOTAL THS_NAC 1815.14
0 EXP 2021 PL_DS TOTAL THS_NAC 96.052
0 EXP 2021 PLO TOTAL THS_NAC 2351.537
0 EXP 2021 PLO_NW TOTAL THS_NAC 1398.798
0 EXP 2021 PLO_RC TOTAL THS_NAC 952.739
0 EXP 2021 RCP TOTAL THS_NAC 272076.092
0 EXP 2021 PP TOTAL THS_NAC 3215850.775
0 EXP 2021 PP_GR TOTAL THS_NAC 1207876.016
0 EXP 2021 PP_GR_NP TOTAL THS_NAC 2638.326
0 EXP 2021 PP_GR_MC TOTAL THS_NAC 32625.43
0 EXP 2021 PP_GR_NW TOTAL THS_NAC 314556.342
0 EXP 2021 PP_GR_CO TOTAL THS_NAC 858055.918
0 EXP 2021 PP_HS TOTAL THS_NAC 407809.312
0 EXP 2021 PP_PK TOTAL THS_NAC 1569405.57
0 EXP 2021 PP_PK_CS TOTAL THS_NAC 349831.904
0 EXP 2021 PP_PK_CB TOTAL THS_NAC 600866.718
0 EXP 2021 PP_PK_WR TOTAL THS_NAC 407474.184
0 EXP 2021 PP_PK_O TOTAL THS_NAC 211232.764
0 EXP 2021 PP_O TOTAL THS_NAC 30759.877
0 EXP 2021 GLT_CLT TOTAL THS_NAC 0
0 EXP 2021 GLT TOTAL THS_NAC 0
0 EXP 2021 CLT TOTAL THS_NAC 0
0 EXP 2021 I_BEAMS TOTAL THS_NAC 0
0 EXP 2022 RW TOTAL THS_M3 270.1132134454
0 EXP 2022 RW_FW TOTAL THS_M3 32.9486789916
0 EXP 2022 RW_FW CONIF THS_M3 24.3541294118
0 EXP 2022 RW_FW NCONIF THS_M3 8.5945495798
0 EXP 2022 RW_IN TOTAL THS_M3 237.1645344538
0 EXP 2022 RW_IN CONIF THS_M3 153.4769630252
0 EXP 2022 RW_IN NCONIF THS_M3 83.6875714286
0 EXP 2022 RW_IN NC_TRO THS_M3 6.4611882353
0 EXP 2022 CHA TOTAL THS_T 1.331025
0 EXP 2022 CHP_RES TOTAL THS_M3 126.5877747899
0 EXP 2022 CHP TOTAL THS_M3 117.2309596639
0 EXP 2022 RES TOTAL THS_M3 9.3568151261
0 EXP 2022 RES_SWD TOTAL THS_M3 5.0254268908
0 EXP 2022 RCW TOTAL THS_T 0
0 EXP 2022 PEL_AGG TOTAL THS_T 16.049879
0 EXP 2022 PEL TOTAL THS_T 6.993776
0 EXP 2022 AGG TOTAL THS_T 9.056103
0 EXP 2022 SN TOTAL THS_M3 550.1540756303
0 EXP 2022 SN CONIF THS_M3 192.8854
0 EXP 2022 SN NCONIF THS_M3 357.2686756303
0 EXP 2022 SN NC_TRO THS_M3 160.2300529412
0 EXP 2022 PN_VN TOTAL THS_M3 32.3231327731
0 EXP 2022 PN_VN CONIF THS_M3 0.8939260504
0 EXP 2022 PN_VN NCONIF THS_M3 31.4292067227
0 EXP 2022 PN_VN NC_TRO THS_M3 8.7696638655
0 EXP 2022 PN TOTAL THS_M3 1239.745292437
0 EXP 2022 PN_PY TOTAL THS_M3 287.5933647059
0 EXP 2022 PN_PY CONIF THS_M3 117.4043378151
0 EXP 2022 PN_PY NCONIF THS_M3 170.1890268908
0 EXP 2022 PN_PY NC_TRO THS_M3 39.4338773109
0 EXP 2022 PN_PY_LVL TOTAL THS_M3 0.4523142857
0 EXP 2022 PN_PY_LVL CONIF THS_M3 0.1175966387
0 EXP 2022 PN_PY_LVL NCONIF THS_M3 0.3347176471
0 EXP 2022 PN_PY_LVL NC_TRO THS_M3 0.2997142857
0 EXP 2022 PN_PB TOTAL THS_M3 658.4456201681
0 EXP 2022 PN_PB_OSB TOTAL THS_M3 42.6994386555
0 EXP 2022 PN_FB TOTAL THS_M3 293.706307563
0 EXP 2022 PN_FB_HB TOTAL THS_M3 18.796810084
0 EXP 2022 PN_FB_MDF TOTAL THS_M3 269.3648420168
0 EXP 2022 PN_FB_O TOTAL THS_M3 5.5446554622
0 EXP 2022 PL TOTAL THS_T 292.958491
0 EXP 2022 PL_MC_SCH TOTAL THS_T 15.182247
0 EXP 2022 PL_CH TOTAL THS_T 277.661507
0 EXP 2022 PL_CH_SA TOTAL THS_T 277.483723
0 EXP 2022 PL_CH_SAB TOTAL THS_T 276.715222
0 EXP 2022 PL_CH_SI TOTAL THS_T 0.177784
0 EXP 2022 PL_DS TOTAL THS_T 0.114737
0 EXP 2022 PLO TOTAL THS_T 1.81419
0 EXP 2022 PLO_NW TOTAL THS_T 0.807254
0 EXP 2022 PLO_RC TOTAL THS_T 1.006936
0 EXP 2022 RCP TOTAL THS_T 1480.771192
0 EXP 2022 PP TOTAL THS_T 3106.239043
0 EXP 2022 PP_GR TOTAL THS_T 1193.320645
0 EXP 2022 PP_GR_NP TOTAL THS_T 2.501351
0 EXP 2022 PP_GR_MC TOTAL THS_T 21.705411
0 EXP 2022 PP_GR_NW TOTAL THS_T 306.259027
0 EXP 2022 PP_GR_CO TOTAL THS_T 862.854856
0 EXP 2022 PP_HS TOTAL THS_T 361.286947
0 EXP 2022 PP_PK TOTAL THS_T 1541.041463
0 EXP 2022 PP_PK_CS TOTAL THS_T 409.08124
0 EXP 2022 PP_PK_CB TOTAL THS_T 435.807449
0 EXP 2022 PP_PK_WR TOTAL THS_T 314.168045
0 EXP 2022 PP_PK_O TOTAL THS_T 381.984729
0 EXP 2022 PP_O TOTAL THS_T 10.589988
0 EXP 2022 GLT_CLT TOTAL THS_M3 11.7139092437
0 EXP 2022 GLT TOTAL THS_M3 9.7935882353
0 EXP 2022 CLT TOTAL THS_M3 1.9203210084
0 EXP 2022 I_BEAMS TOTAL THS_T 0.346653
0 EXP 2022 RW TOTAL THS_NAC 54076.531
0 EXP 2022 RW_FW TOTAL THS_NAC 4046.559
0 EXP 2022 RW_FW CONIF THS_NAC 2125.518
0 EXP 2022 RW_FW NCONIF THS_NAC 1921.041
0 EXP 2022 RW_IN TOTAL THS_NAC 50029.972
0 EXP 2022 RW_IN CONIF THS_NAC 33842.546
0 EXP 2022 RW_IN NCONIF THS_NAC 16187.426
0 EXP 2022 RW_IN NC_TRO THS_NAC 2731.458
0 EXP 2022 CHA TOTAL THS_NAC 912.203
0 EXP 2022 CHP_RES TOTAL THS_NAC 27530.796
0 EXP 2022 CHP TOTAL THS_NAC 26558.366
0 EXP 2022 RES TOTAL THS_NAC 972.43
0 EXP 2022 RES_SWD TOTAL THS_NAC 585.93
0 EXP 2022 RCW TOTAL THS_NAC 0
0 EXP 2022 PEL_AGG TOTAL THS_NAC 8771.007
0 EXP 2022 PEL TOTAL THS_NAC 4165.892
0 EXP 2022 AGG TOTAL THS_NAC 4605.115
0 EXP 2022 SN TOTAL THS_NAC 314684.853
0 EXP 2022 SN CONIF THS_NAC 102169.904
0 EXP 2022 SN NCONIF THS_NAC 212514.949
0 EXP 2022 SN NC_TRO THS_NAC 22325.921
0 EXP 2022 PN_VN TOTAL THS_NAC 176967.892
0 EXP 2022 PN_VN CONIF THS_NAC 3212.884
0 EXP 2022 PN_VN NCONIF THS_NAC 173755.008
0 EXP 2022 PN_VN NC_TRO THS_NAC 62505.961
0 EXP 2022 PN TOTAL THS_NAC 962131.294
0 EXP 2022 PN_PY TOTAL THS_NAC 386597.803
0 EXP 2022 PN_PY CONIF THS_NAC 127774.382
0 EXP 2022 PN_PY NCONIF THS_NAC 258823.421
0 EXP 2022 PN_PY NC_TRO THS_NAC 69096.627
0 EXP 2022 PN_PY_LVL TOTAL THS_NAC 518.498
0 EXP 2022 PN_PY_LVL CONIF THS_NAC 241.612
0 EXP 2022 PN_PY_LVL NCONIF THS_NAC 276.886
0 EXP 2022 PN_PY_LVL NC_TRO THS_NAC 199.616
0 EXP 2022 PN_PB TOTAL THS_NAC 404575.434
0 EXP 2022 PN_PB_OSB TOTAL THS_NAC 21777.589
0 EXP 2022 PN_FB TOTAL THS_NAC 170958.057
0 EXP 2022 PN_FB_HB TOTAL THS_NAC 18317.488
0 EXP 2022 PN_FB_MDF TOTAL THS_NAC 141655.469
0 EXP 2022 PN_FB_O TOTAL THS_NAC 10985.1
0 EXP 2022 PL TOTAL THS_NAC 243744.419
0 EXP 2022 PL_MC_SCH TOTAL THS_NAC 9610.092
0 EXP 2022 PL_CH TOTAL THS_NAC 233987.378
0 EXP 2022 PL_CH_SA TOTAL THS_NAC 232693.797
0 EXP 2022 PL_CH_SAB TOTAL THS_NAC 231866.843
0 EXP 2022 PL_CH_SI TOTAL THS_NAC 1293.581
0 EXP 2022 PL_DS TOTAL THS_NAC 146.949
0 EXP 2022 PLO TOTAL THS_NAC 1946.425
0 EXP 2022 PLO_NW TOTAL THS_NAC 1288.13
0 EXP 2022 PLO_RC TOTAL THS_NAC 658.295
0 EXP 2022 RCP TOTAL THS_NAC 283567.346
0 EXP 2022 PP TOTAL THS_NAC 4171286.366
0 EXP 2022 PP_GR TOTAL THS_NAC 1695761.486
0 EXP 2022 PP_GR_NP TOTAL THS_NAC 3215.158
0 EXP 2022 PP_GR_MC TOTAL THS_NAC 39828.551
0 EXP 2022 PP_GR_NW TOTAL THS_NAC 458066.198
0 EXP 2022 PP_GR_CO TOTAL THS_NAC 1194651.579
0 EXP 2022 PP_HS TOTAL THS_NAC 572476.475
0 EXP 2022 PP_PK TOTAL THS_NAC 1865967.174
0 EXP 2022 PP_PK_CS TOTAL THS_NAC 348509.336
0 EXP 2022 PP_PK_CB TOTAL THS_NAC 696258.512
0 EXP 2022 PP_PK_WR TOTAL THS_NAC 539702.202
0 EXP 2022 PP_PK_O TOTAL THS_NAC 281497.124
0 EXP 2022 PP_O TOTAL THS_NAC 37081.231
0 EXP 2022 GLT_CLT TOTAL THS_NAC 18929.941
0 EXP 2022 GLT TOTAL THS_NAC 16532.022
0 EXP 2022 CLT TOTAL THS_NAC 2397.919
0 EXP 2022 I_BEAMS TOTAL THS_NAC 242.584
0 IMP_XEU 2021 RW TOTAL THS_M3 944.2330235294
0 IMP_XEU 2021 RW_FW TOTAL THS_M3 479.8273798319
0 IMP_XEU 2021 RW_FW CONIF THS_M3 14.2794268908
0 IMP_XEU 2021 RW_FW NCONIF THS_M3 465.5479529412
0 IMP_XEU 2021 RW_IN TOTAL THS_M3 464.4056436975
0 IMP_XEU 2021 RW_IN CONIF THS_M3 298.4264235294
0 IMP_XEU 2021 RW_IN NCONIF THS_M3 165.9792201681
0 IMP_XEU 2021 RW_IN NC_TRO THS_M3 9.7449781513
0 IMP_XEU 2021 CHA TOTAL THS_T 51.784366
0 IMP_XEU 2021 CHP_RES TOTAL THS_M3 72.989394958
0 IMP_XEU 2021 CHP TOTAL THS_M3 0.6888184874
0 IMP_XEU 2021 RES TOTAL THS_M3 72.3005764706
0 IMP_XEU 2021 RES_SWD TOTAL THS_M3 36.1502882353
0 IMP_XEU 2021 RCW TOTAL THS_T 0
0 IMP_XEU 2021 PEL_AGG TOTAL THS_T 384.157829
0 IMP_XEU 2021 PEL TOTAL THS_T 372.504161
0 IMP_XEU 2021 AGG TOTAL THS_T 11.653668
0 IMP_XEU 2021 SN TOTAL THS_M3 710.2447327731
0 IMP_XEU 2021 SN CONIF THS_M3 452.9060235294
0 IMP_XEU 2021 SN NCONIF THS_M3 257.3387092437
0 IMP_XEU 2021 SN NC_TRO THS_M3 92.3386840336
0 IMP_XEU 2021 PN_VN TOTAL THS_M3 92.3691697479
0 IMP_XEU 2021 PN_VN CONIF THS_M3 3.9224252101
0 IMP_XEU 2021 PN_VN NCONIF THS_M3 88.4467445378
0 IMP_XEU 2021 PN_VN NC_TRO THS_M3 55.1977294118
0 IMP_XEU 2021 PN TOTAL THS_M3 466.1145596639
0 IMP_XEU 2021 PN_PY TOTAL THS_M3 326.5978436975
0 IMP_XEU 2021 PN_PY CONIF THS_M3 176.7342411765
0 IMP_XEU 2021 PN_PY NCONIF THS_M3 149.863602521
0 IMP_XEU 2021 PN_PY NC_TRO THS_M3 30.1812239496
0 IMP_XEU 2021 PN_PY_LVL TOTAL THS_M3 0.3096941176
0 IMP_XEU 2021 PN_PY_LVL CONIF THS_M3 0.1548470588
0 IMP_XEU 2021 PN_PY_LVL NCONIF THS_M3 0.1548470588
0 IMP_XEU 2021 PN_PY_LVL NC_TRO THS_M3 0.0774235294
0 IMP_XEU 2021 PN_PB TOTAL THS_M3 107.7873159664
0 IMP_XEU 2021 PN_PB_OSB TOTAL THS_M3 4.8348218487
0 IMP_XEU 2021 PN_FB TOTAL THS_M3 31.7294
0 IMP_XEU 2021 PN_FB_HB TOTAL THS_M3 11.5325579832
0 IMP_XEU 2021 PN_FB_MDF TOTAL THS_M3 8.1082521008
0 IMP_XEU 2021 PN_FB_O TOTAL THS_M3 12.088589916
0 IMP_XEU 2021 PL TOTAL THS_T 2067.973286
0 IMP_XEU 2021 PL_MC_SCH TOTAL THS_T 15.640099
0 IMP_XEU 2021 PL_CH TOTAL THS_T 2051.632164
0 IMP_XEU 2021 PL_CH_SA TOTAL THS_T 2051.359217
0 IMP_XEU 2021 PL_CH_SAB TOTAL THS_T 2047.739086
0 IMP_XEU 2021 PL_CH_SI TOTAL THS_T 0.272947
0 IMP_XEU 2021 PL_DS TOTAL THS_T 0.701023
0 IMP_XEU 2021 PLO TOTAL THS_T 7.461853
0 IMP_XEU 2021 PLO_NW TOTAL THS_T 1.603054
0 IMP_XEU 2021 PLO_RC TOTAL THS_T 5.858799
0 IMP_XEU 2021 RCP TOTAL THS_T 161.496011
0 IMP_XEU 2021 PP TOTAL THS_T 689.474163
0 IMP_XEU 2021 PP_GR TOTAL THS_T 178.467717
0 IMP_XEU 2021 PP_GR_NP TOTAL THS_T 71.903846
0 IMP_XEU 2021 PP_GR_MC TOTAL THS_T 3.119527
0 IMP_XEU 2021 PP_GR_NW TOTAL THS_T 56.822285
0 IMP_XEU 2021 PP_GR_CO TOTAL THS_T 46.622059
0 IMP_XEU 2021 PP_HS TOTAL THS_T 1.624156
0 IMP_XEU 2021 PP_PK TOTAL THS_T 488.570171
0 IMP_XEU 2021 PP_PK_CS TOTAL THS_T 300.726509
0 IMP_XEU 2021 PP_PK_CB TOTAL THS_T 70.659881
0 IMP_XEU 2021 PP_PK_WR TOTAL THS_T 115.577347
0 IMP_XEU 2021 PP_PK_O TOTAL THS_T 1.606434
0 IMP_XEU 2021 PP_O TOTAL THS_T 20.812119
0 IMP_XEU 2021 GLT_CLT TOTAL THS_M3 0
0 IMP_XEU 2021 GLT TOTAL THS_M3 0
0 IMP_XEU 2021 CLT TOTAL THS_M3 0
0 IMP_XEU 2021 I_BEAMS TOTAL THS_T 0
0 IMP_XEU 2021 RW TOTAL THS_NAC 79916.368
0 IMP_XEU 2021 RW_FW TOTAL THS_NAC 30806.062
0 IMP_XEU 2021 RW_FW CONIF THS_NAC 1431.189
0 IMP_XEU 2021 RW_FW NCONIF THS_NAC 29374.873
0 IMP_XEU 2021 RW_IN TOTAL THS_NAC 49110.306
0 IMP_XEU 2021 RW_IN CONIF THS_NAC 19570.466
0 IMP_XEU 2021 RW_IN NCONIF THS_NAC 29539.84
0 IMP_XEU 2021 RW_IN NC_TRO THS_NAC 2659.071
0 IMP_XEU 2021 CHA TOTAL THS_NAC 18527.084
0 IMP_XEU 2021 CHP_RES TOTAL THS_NAC 1596.239
0 IMP_XEU 2021 CHP TOTAL THS_NAC 941.401
0 IMP_XEU 2021 RES TOTAL THS_NAC 654.838
0 IMP_XEU 2021 RES_SWD TOTAL THS_NAC 327.419
0 IMP_XEU 2021 RCW TOTAL THS_NAC 0
0 IMP_XEU 2021 PEL_AGG TOTAL THS_NAC 62804.297
0 IMP_XEU 2021 PEL TOTAL THS_NAC 61189.54
0 IMP_XEU 2021 AGG TOTAL THS_NAC 1614.757
0 IMP_XEU 2021 SN TOTAL THS_NAC 267612.325
0 IMP_XEU 2021 SN CONIF THS_NAC 136342.366
0 IMP_XEU 2021 SN NCONIF THS_NAC 131269.959
0 IMP_XEU 2021 SN NC_TRO THS_NAC 59169.129
0 IMP_XEU 2021 PN_VN TOTAL THS_NAC 82022.057
0 IMP_XEU 2021 PN_VN CONIF THS_NAC 1792.35
0 IMP_XEU 2021 PN_VN NCONIF THS_NAC 80229.707
0 IMP_XEU 2021 PN_VN NC_TRO THS_NAC 43944.961
0 IMP_XEU 2021 PN TOTAL THS_NAC 191667.951
0 IMP_XEU 2021 PN_PY TOTAL THS_NAC 155507.229
0 IMP_XEU 2021 PN_PY CONIF THS_NAC 73752.078
0 IMP_XEU 2021 PN_PY NCONIF THS_NAC 81755.151
0 IMP_XEU 2021 PN_PY NC_TRO THS_NAC 24358.284
0 IMP_XEU 2021 PN_PY_LVL TOTAL THS_NAC 167.947
0 IMP_XEU 2021 PN_PY_LVL CONIF THS_NAC 83.9735
0 IMP_XEU 2021 PN_PY_LVL NCONIF THS_NAC 83.9735
0 IMP_XEU 2021 PN_PY_LVL NC_TRO THS_NAC 41.98675
0 IMP_XEU 2021 PN_PB TOTAL THS_NAC 24066.499
0 IMP_XEU 2021 PN_PB_OSB TOTAL THS_NAC 2115.853
0 IMP_XEU 2021 PN_FB TOTAL THS_NAC 12094.223
0 IMP_XEU 2021 PN_FB_HB TOTAL THS_NAC 4011.774
0 IMP_XEU 2021 PN_FB_MDF TOTAL THS_NAC 4187.967
0 IMP_XEU 2021 PN_FB_O TOTAL THS_NAC 3894.482
0 IMP_XEU 2021 PL TOTAL THS_NAC 1169460.208
0 IMP_XEU 2021 PL_MC_SCH TOTAL THS_NAC 7425.233
0 IMP_XEU 2021 PL_CH TOTAL THS_NAC 1161703.55
0 IMP_XEU 2021 PL_CH_SA TOTAL THS_NAC 1159364.898
0 IMP_XEU 2021 PL_CH_SAB TOTAL THS_NAC 1157410.631
0 IMP_XEU 2021 PL_CH_SI TOTAL THS_NAC 2338.652
0 IMP_XEU 2021 PL_DS TOTAL THS_NAC 331.425
0 IMP_XEU 2021 PLO TOTAL THS_NAC 6082.2
0 IMP_XEU 2021 PLO_NW TOTAL THS_NAC 2416.314
0 IMP_XEU 2021 PLO_RC TOTAL THS_NAC 3665.886
0 IMP_XEU 2021 RCP TOTAL THS_NAC 46433.672
0 IMP_XEU 2021 PP TOTAL THS_NAC 500161.421
0 IMP_XEU 2021 PP_GR TOTAL THS_NAC 111258.759
0 IMP_XEU 2021 PP_GR_NP TOTAL THS_NAC 31478.049
0 IMP_XEU 2021 PP_GR_MC TOTAL THS_NAC 3715.774
0 IMP_XEU 2021 PP_GR_NW TOTAL THS_NAC 42275.988
0 IMP_XEU 2021 PP_GR_CO TOTAL THS_NAC 33788.948
0 IMP_XEU 2021 PP_HS TOTAL THS_NAC 3231.171
0 IMP_XEU 2021 PP_PK TOTAL THS_NAC 369535.589
0 IMP_XEU 2021 PP_PK_CS TOTAL THS_NAC 176742.93
0 IMP_XEU 2021 PP_PK_CB TOTAL THS_NAC 91946.324
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0 IMP_XEU 2021 PP_PK_O TOTAL THS_NAC 1043.601
0 IMP_XEU 2021 PP_O TOTAL THS_NAC 16135.902
0 IMP_XEU 2021 GLT_CLT TOTAL THS_NAC 0
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0 IMP_XEU 2021 CLT TOTAL THS_NAC 0
0 IMP_XEU 2021 I_BEAMS TOTAL THS_NAC 0
0 IMP_XEU 2022 RW TOTAL THS_M3 904.2741781513
0 IMP_XEU 2022 RW_FW TOTAL THS_M3 301.3415865546
0 IMP_XEU 2022 RW_FW CONIF THS_M3 13.3047294118
0 IMP_XEU 2022 RW_FW NCONIF THS_M3 288.0368571429
0 IMP_XEU 2022 RW_IN TOTAL THS_M3 602.9325915966
0 IMP_XEU 2022 RW_IN CONIF THS_M3 261.9440235294
0 IMP_XEU 2022 RW_IN NCONIF THS_M3 340.9885680672
0 IMP_XEU 2022 RW_IN NC_TRO THS_M3 17.2977008403
0 IMP_XEU 2022 CHA TOTAL THS_T 40.597951
0 IMP_XEU 2022 CHP_RES TOTAL THS_M3 67.0857512605
0 IMP_XEU 2022 CHP TOTAL THS_M3 1.4601361345
0 IMP_XEU 2022 RES TOTAL THS_M3 65.6256151261
0 IMP_XEU 2022 RES_SWD TOTAL THS_M3 0.374789916
0 IMP_XEU 2022 RCW TOTAL THS_T 0
0 IMP_XEU 2022 PEL_AGG TOTAL THS_T 401.676633
0 IMP_XEU 2022 PEL TOTAL THS_T 395.746467
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0 IMP_XEU 2022 SN TOTAL THS_M3 638.7487176471
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0 IMP_XEU 2022 CLT TOTAL THS_NAC 484.406
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0 EXP_XEU 2021 RW TOTAL THS_M3 17.4339344538
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0 EXP_XEU 2021 PN_PB TOTAL THS_M3 286.5165294118
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0 EXP_XEU 2022 PL_CH_SA TOTAL THS_T 7.094157
0 EXP_XEU 2022 PL_CH_SAB TOTAL THS_T 6.904531
0 EXP_XEU 2022 PL_CH_SI TOTAL THS_T 0.056658
0 EXP_XEU 2022 PL_DS TOTAL THS_T 0
0 EXP_XEU 2022 PLO TOTAL THS_T 1.366009
0 EXP_XEU 2022 PLO_NW TOTAL THS_T 0.759234
0 EXP_XEU 2022 PLO_RC TOTAL THS_T 0.606775
0 EXP_XEU 2022 RCP TOTAL THS_T 986.773318
0 EXP_XEU 2022 PP TOTAL THS_T 994.988432
0 EXP_XEU 2022 PP_GR TOTAL THS_T 469.940628
0 EXP_XEU 2022 PP_GR_NP TOTAL THS_T 0.378832
0 EXP_XEU 2022 PP_GR_MC TOTAL THS_T 7.28653
0 EXP_XEU 2022 PP_GR_NW TOTAL THS_T 110.003799
0 EXP_XEU 2022 PP_GR_CO TOTAL THS_T 352.271467
0 EXP_XEU 2022 PP_HS TOTAL THS_T 28.628246
0 EXP_XEU 2022 PP_PK TOTAL THS_T 489.009062
0 EXP_XEU 2022 PP_PK_CS TOTAL THS_T 131.165137
0 EXP_XEU 2022 PP_PK_CB TOTAL THS_T 177.743171
0 EXP_XEU 2022 PP_PK_WR TOTAL THS_T 64.712058
0 EXP_XEU 2022 PP_PK_O TOTAL THS_T 115.388696
0 EXP_XEU 2022 PP_O TOTAL THS_T 7.410496
0 EXP_XEU 2022 GLT_CLT TOTAL THS_M3 1.2434436975
0 EXP_XEU 2022 GLT TOTAL THS_M3 0.6336773109
0 EXP_XEU 2022 CLT TOTAL THS_M3 0.6097663866
0 EXP_XEU 2022 I_BEAMS TOTAL THS_T 0.311943
0 EXP_XEU 2022 RW TOTAL THS_NAC 4939.41
0 EXP_XEU 2022 RW_FW TOTAL THS_NAC 685.942
0 EXP_XEU 2022 RW_FW CONIF THS_NAC 81.444
0 EXP_XEU 2022 RW_FW NCONIF THS_NAC 604.498
0 EXP_XEU 2022 RW_IN TOTAL THS_NAC 4253.468
0 EXP_XEU 2022 RW_IN CONIF THS_NAC 880.079
0 EXP_XEU 2022 RW_IN NCONIF THS_NAC 3373.389
0 EXP_XEU 2022 RW_IN NC_TRO THS_NAC 55.9735
0 EXP_XEU 2022 CHA TOTAL THS_NAC 201.053
0 EXP_XEU 2022 CHP_RES TOTAL THS_NAC 1053.896
0 EXP_XEU 2022 CHP TOTAL THS_NAC 877.344
0 EXP_XEU 2022 RES TOTAL THS_NAC 176.552
0 EXP_XEU 2022 RES_SWD TOTAL THS_NAC 73.088
0 EXP_XEU 2022 RCW TOTAL THS_NAC 0
0 EXP_XEU 2022 PEL_AGG TOTAL THS_NAC 2979.646
0 EXP_XEU 2022 PEL TOTAL THS_NAC 1179.203
0 EXP_XEU 2022 AGG TOTAL THS_NAC 1800.443
0 EXP_XEU 2022 SN TOTAL THS_NAC 105855.739
0 EXP_XEU 2022 SN CONIF THS_NAC 52704.341
0 EXP_XEU 2022 SN NCONIF THS_NAC 53151.398
0 EXP_XEU 2022 SN NC_TRO THS_NAC 5997.633
0 EXP_XEU 2022 PN_VN TOTAL THS_NAC 82087.405
0 EXP_XEU 2022 PN_VN CONIF THS_NAC 1816.406
0 EXP_XEU 2022 PN_VN NCONIF THS_NAC 80270.999
0 EXP_XEU 2022 PN_VN NC_TRO THS_NAC 36412.058
0 EXP_XEU 2022 PN TOTAL THS_NAC 130462.088
0 EXP_XEU 2022 PN_PY TOTAL THS_NAC 49360.842
0 EXP_XEU 2022 PN_PY CONIF THS_NAC 19105.195
0 EXP_XEU 2022 PN_PY NCONIF THS_NAC 30255.647
0 EXP_XEU 2022 PN_PY NC_TRO THS_NAC 4431.884
0 EXP_XEU 2022 PN_PY_LVL TOTAL THS_NAC 350.732
0 EXP_XEU 2022 PN_PY_LVL CONIF THS_NAC 221.079
0 EXP_XEU 2022 PN_PY_LVL NCONIF THS_NAC 129.653
0 EXP_XEU 2022 PN_PY_LVL NC_TRO THS_NAC 52.383
0 EXP_XEU 2022 PN_PB TOTAL THS_NAC 24066.499
0 EXP_XEU 2022 PN_PB_OSB TOTAL THS_NAC 6002.316
0 EXP_XEU 2022 PN_FB TOTAL THS_NAC 57034.747
0 EXP_XEU 2022 PN_FB_HB TOTAL THS_NAC 10995.688
0 EXP_XEU 2022 PN_FB_MDF TOTAL THS_NAC 25277.651
0 EXP_XEU 2022 PN_FB_O TOTAL THS_NAC 20761.408
0 EXP_XEU 2022 PL TOTAL THS_NAC 14500.219
0 EXP_XEU 2022 PL_MC_SCH TOTAL THS_NAC 4778.758
0 EXP_XEU 2022 PL_CH TOTAL THS_NAC 9721.461
0 EXP_XEU 2022 PL_CH_SA TOTAL THS_NAC 9563.725
0 EXP_XEU 2022 PL_CH_SAB TOTAL THS_NAC 9297.853
0 EXP_XEU 2022 PL_CH_SI TOTAL THS_NAC 157.736
0 EXP_XEU 2022 PL_DS TOTAL THS_NAC 0
0 EXP_XEU 2022 PLO TOTAL THS_NAC 1430.829
0 EXP_XEU 2022 PLO_NW TOTAL THS_NAC 1073.4
0 EXP_XEU 2022 PLO_RC TOTAL THS_NAC 357.429
0 EXP_XEU 2022 RCP TOTAL THS_NAC 171203.055
0 EXP_XEU 2022 PP TOTAL THS_NAC 1417315.015
0 EXP_XEU 2022 PP_GR TOTAL THS_NAC 733032.685
0 EXP_XEU 2022 PP_GR_NP TOTAL THS_NAC 1181.898
0 EXP_XEU 2022 PP_GR_MC TOTAL THS_NAC 15400.238
0 EXP_XEU 2022 PP_GR_NW TOTAL THS_NAC 193334.581
0 EXP_XEU 2022 PP_GR_CO TOTAL THS_NAC 523115.968
0 EXP_XEU 2022 PP_HS TOTAL THS_NAC 50768.714
0 EXP_XEU 2022 PP_PK TOTAL THS_NAC 615836.459
0 EXP_XEU 2022 PP_PK_CS TOTAL THS_NAC 107212.127
0 EXP_XEU 2022 PP_PK_CB TOTAL THS_NAC 288641.791
0 EXP_XEU 2022 PP_PK_WR TOTAL THS_NAC 123784.447
0 EXP_XEU 2022 PP_PK_O TOTAL THS_NAC 96198.094
0 EXP_XEU 2022 PP_O TOTAL THS_NAC 17677.157
0 EXP_XEU 2022 GLT_CLT TOTAL THS_NAC 2055.308
0 EXP_XEU 2022 GLT TOTAL THS_NAC 1115.512
0 EXP_XEU 2022 CLT TOTAL THS_NAC 939.796
0 EXP_XEU 2022 I_BEAMS TOTAL THS_NAC 167.141
0 IMP 2021 SW TOTAL THS_NAC 2664589.606
0 IMP 2021 SW_SN TOTAL THS_NAC 78918.783
0 IMP 2021 SW_SN CONIF THS_NAC 30340.453
0 IMP 2021 SW_SN NCONIF THS_NAC 48578.33
0 IMP 2021 SW_SN NC_TRO THS_NAC 6110.49
0 IMP 2021 SW_WR TOTAL THS_NAC 341677.232
0 IMP 2021 SW_DM TOTAL THS_NAC 78115.29
0 IMP 2021 SW_JN TOTAL THS_NAC 665821.404
0 IMP 2021 SW_FU TOTAL THS_NAC 1201568.685
0 IMP 2021 SW_BL_W TOTAL THS_NAC 43560.974
0 IMP 2021 SW_O TOTAL THS_NAC 254927.238
0 IMP 2021 SP TOTAL THS_NAC 1684468.945
0 IMP 2021 SP_CM TOTAL THS_NAC 26445.918
0 IMP 2021 SP_SCO TOTAL THS_NAC 497018.017
0 IMP 2021 SP_HS TOTAL THS_NAC 123280.883
0 IMP 2021 SP_PK TOTAL THS_NAC 488352.447
0 IMP 2021 SP_O TOTAL THS_NAC 443355.911
0 IMP 2021 SP_O_PR TOTAL THS_NAC 2961.54688
0 IMP 2021 SP_O_AR TOTAL THS_NAC 47946.541
0 IMP 2021 SP_O_FL TOTAL THS_NAC 21049.892
0 IMP 2022 SW TOTAL THS_NAC 2884687.85
0 IMP 2022 SW_SN TOTAL THS_NAC 106767.902
0 IMP 2022 SW_SN CONIF THS_NAC 39154.375
0 IMP 2022 SW_SN NCONIF THS_NAC 67613.527
0 IMP 2022 SW_SN NC_TRO THS_NAC 12363.12
0 IMP 2022 SW_WR TOTAL THS_NAC 450373.761
0 IMP 2022 SW_DM TOTAL THS_NAC 101984.594
0 IMP 2022 SW_JN TOTAL THS_NAC 507796.748
0 IMP 2022 SW_FU TOTAL THS_NAC 1311454.796
0 IMP 2022 SW_BL_W TOTAL THS_NAC 77576.435
0 IMP 2022 SW_O TOTAL THS_NAC 328733.614
0 IMP 2022 SP TOTAL THS_NAC 2228835.0525
0 IMP 2022 SP_CM TOTAL THS_NAC 32340.549
0 IMP 2022 SP_SCO TOTAL THS_NAC 633992.035
0 IMP 2022 SP_HS TOTAL THS_NAC 154923.654
0 IMP 2022 SP_PK TOTAL THS_NAC 681987.296
0 IMP 2022 SP_O TOTAL THS_NAC 573894.53
0 IMP 2022 SP_O_PR TOTAL THS_NAC 4431.9302
0 IMP 2022 SP_O_AR TOTAL THS_NAC 72249.6
0 IMP 2022 SP_O_FL TOTAL THS_NAC 24048.261
0 EXP 2021 SW TOTAL THS_NAC 7757865.7095
0 EXP 2021 SW_SN TOTAL THS_NAC 166737.843
0 EXP 2021 SW_SN CONIF THS_NAC 48353.735
0 EXP 2021 SW_SN NCONIF THS_NAC 118384.108
0 EXP 2021 SW_SN NC_TRO THS_NAC 1349.977
0 EXP 2021 SW_WR TOTAL THS_NAC 153669.505
0 EXP 2021 SW_DM TOTAL THS_NAC 91396.53
0 EXP 2021 SW_JN TOTAL THS_NAC 405814.265
0 EXP 2021 SW_FU TOTAL THS_NAC 6753876.7495
0 EXP 2021 SW_BL_W TOTAL THS_NAC 20028.834
0 EXP 2021 SW_O TOTAL THS_NAC 166341.983
0 EXP 2021 SP TOTAL THS_NAC 3878685.471
0 EXP 2021 SP_CM TOTAL THS_NAC 36437.887
0 EXP 2021 SP_SCO TOTAL THS_NAC 566975.982
0 EXP 2021 SP_HS TOTAL THS_NAC 770247.262
0 EXP 2021 SP_PK TOTAL THS_NAC 1332511.44
0 EXP 2021 SP_O TOTAL THS_NAC 960449.21
0 EXP 2021 SP_O_PR TOTAL THS_NAC 4703.35488
0 EXP 2021 SP_O_AR TOTAL THS_NAC 9945.508
0 EXP 2021 SP_O_FL TOTAL THS_NAC 143326.246
0 EXP 2022 SW TOTAL THS_NAC 8702211.672
0 EXP 2022 SW_SN TOTAL THS_NAC 193846.375
0 EXP 2022 SW_SN CONIF THS_NAC 56952.07
0 EXP 2022 SW_SN NCONIF THS_NAC 136894.305
0 EXP 2022 SW_SN NC_TRO THS_NAC 2795.108
0 EXP 2022 SW_WR TOTAL THS_NAC 225551.978
0 EXP 2022 SW_DM TOTAL THS_NAC 92861.553
0 EXP 2022 SW_JN TOTAL THS_NAC 389654.091
0 EXP 2022 SW_FU TOTAL THS_NAC 7611871.988
0 EXP 2022 SW_BL_W TOTAL THS_NAC 19915.356
0 EXP 2022 SW_O TOTAL THS_NAC 168510.331
0 EXP 2022 SP TOTAL THS_NAC 4994086.131
0 EXP 2022 SP_CM TOTAL THS_NAC 50373.51
0 EXP 2022 SP_SCO TOTAL THS_NAC 683253.328
0 EXP 2022 SP_HS TOTAL THS_NAC 1164052.898
0 EXP 2022 SP_PK TOTAL THS_NAC 1709364.49
0 EXP 2022 SP_O TOTAL THS_NAC 1144021.225
0 EXP 2022 SP_O_PR TOTAL THS_NAC 5778.53056
0 EXP 2022 SP_O_AR TOTAL THS_NAC 12941.036
0 EXP 2022 SP_O_FL TOTAL THS_NAC 157848.012
0 IMP 2021 ST_1_2 CONIF THS_M3
0 IMP 2021 ST_1_2 C_PIN THS_M3
0 IMP 2021 ST_1_2_1 C_PIN THS_M3
0 IMP 2021 ST_1_2_2 C_PIN THS_M3
0 IMP 2021 ST_1_2 C_FIR THS_M3
0 IMP 2021 ST_1_2_1 C_FIR THS_M3
0 IMP 2021 ST_1_2_2 C_FIR THS_M3
0 IMP 2021 ST_1_2 NCONIF THS_M3
0 IMP 2021 ST_1_2 NC_OAK THS_M3
0 IMP 2021 ST_1_2 NC_BEE THS_M3
0 IMP 2021 ST_1_2 NC_BIR THS_M3
0 IMP 2021 ST_1_2_1 NC_BIR THS_M3
0 IMP 2021 ST_1_2_2 NC_BIR THS_M3
0 IMP 2021 ST_1_2 NC_POP THS_M3
0 IMP 2021 ST_1_2 NC_EUC THS_M3
0 IMP 2021 ST_6 CONIF THS_M3
0 IMP 2021 ST_6 C_PIN THS_M3
0 IMP 2021 ST_6 C_FIR THS_M3
0 IMP 2021 ST_6 NCONIF THS_M3
0 IMP 2021 ST_6 NC_OAK THS_M3
0 IMP 2021 ST_6 NC_BEE THS_M3
0 IMP 2021 ST_6 NC_MAP THS_M3
0 IMP 2021 ST_6 NC_CHE THS_M3
0 IMP 2021 ST_6 NC_ASH THS_M3
0 IMP 2021 ST_6 NC_BIR THS_M3
0 IMP 2021 ST_6 NC_POP THS_M3
0 IMP 2021 ST_1_2 CONIF THS_NAC
0 IMP 2021 ST_1_2 C_PIN THS_NAC
0 IMP 2021 ST_1_2_1 C_PIN THS_NAC
0 IMP 2021 ST_1_2_2 C_PIN THS_NAC
0 IMP 2021 ST_1_2 C_FIR THS_NAC
0 IMP 2021 ST_1_2_1 C_FIR THS_NAC
0 IMP 2021 ST_1_2_2 C_FIR THS_NAC
0 IMP 2021 ST_1_2 NCONIF THS_NAC
0 IMP 2021 ST_1_2 NC_OAK THS_NAC
0 IMP 2021 ST_1_2 NC_BEE THS_NAC
0 IMP 2021 ST_1_2 NC_BIR THS_NAC
0 IMP 2021 ST_1_2_1 NC_BIR THS_NAC
0 IMP 2021 ST_1_2_2 NC_BIR THS_NAC
0 IMP 2021 ST_1_2 NC_POP THS_NAC
0 IMP 2021 ST_1_2 NC_EUC THS_NAC
0 IMP 2021 ST_6 CONIF THS_NAC
0 IMP 2021 ST_6 C_PIN THS_NAC
0 IMP 2021 ST_6 C_FIR THS_NAC
0 IMP 2021 ST_6 NCONIF THS_NAC
0 IMP 2021 ST_6 NC_OAK THS_NAC
0 IMP 2021 ST_6 NC_BEE THS_NAC
0 IMP 2021 ST_6 NC_MAP THS_NAC
0 IMP 2021 ST_6 NC_CHE THS_NAC
0 IMP 2021 ST_6 NC_ASH THS_NAC
0 IMP 2021 ST_6 NC_BIR THS_NAC
0 IMP 2021 ST_6 NC_POP THS_NAC
0 IMP 2022 ST_1_2 CONIF THS_M3
0 IMP 2022 ST_1_2 C_PIN THS_M3
0 IMP 2022 ST_1_2_1 C_PIN THS_M3
0 IMP 2022 ST_1_2_2 C_PIN THS_M3
0 IMP 2022 ST_1_2 C_FIR THS_M3
0 IMP 2022 ST_1_2_1 C_FIR THS_M3
0 IMP 2022 ST_1_2_2 C_FIR THS_M3
0 IMP 2022 ST_1_2 NCONIF THS_M3
0 IMP 2022 ST_1_2 NC_OAK THS_M3
0 IMP 2022 ST_1_2 NC_BEE THS_M3
0 IMP 2022 ST_1_2 NC_BIR THS_M3
0 IMP 2022 ST_1_2_1 NC_BIR THS_M3
0 IMP 2022 ST_1_2_2 NC_BIR THS_M3
0 IMP 2022 ST_1_2 NC_POP THS_M3
0 IMP 2022 ST_1_2 NC_EUC THS_M3
0 IMP 2022 ST_6 CONIF THS_M3
0 IMP 2022 ST_6 C_PIN THS_M3
0 IMP 2022 ST_6 C_FIR THS_M3
0 IMP 2022 ST_6 NCONIF THS_M3
0 IMP 2022 ST_6 NC_OAK THS_M3
0 IMP 2022 ST_6 NC_BEE THS_M3
0 IMP 2022 ST_6 NC_MAP THS_M3
0 IMP 2022 ST_6 NC_CHE THS_M3
0 IMP 2022 ST_6 NC_ASH THS_M3
0 IMP 2022 ST_6 NC_BIR THS_M3
0 IMP 2022 ST_6 NC_POP THS_M3
0 IMP 2022 ST_1_2 CONIF THS_NAC
0 IMP 2022 ST_1_2 C_PIN THS_NAC
0 IMP 2022 ST_1_2_1 C_PIN THS_NAC
0 IMP 2022 ST_1_2_2 C_PIN THS_NAC
0 IMP 2022 ST_1_2 C_FIR THS_NAC
0 IMP 2022 ST_1_2_1 C_FIR THS_NAC
0 IMP 2022 ST_1_2_2 C_FIR THS_NAC
0 IMP 2022 ST_1_2 NCONIF THS_NAC
0 IMP 2022 ST_1_2 NC_OAK THS_NAC
0 IMP 2022 ST_1_2 NC_BEE THS_NAC
0 IMP 2022 ST_1_2 NC_BIR THS_NAC
0 IMP 2022 ST_1_2_1 NC_BIR THS_NAC
0 IMP 2022 ST_1_2_2 NC_BIR THS_NAC
0 IMP 2022 ST_1_2 NC_POP THS_NAC
0 IMP 2022 ST_1_2 NC_EUC THS_NAC
0 IMP 2022 ST_6 CONIF THS_NAC
0 IMP 2022 ST_6 C_PIN THS_NAC
0 IMP 2022 ST_6 C_FIR THS_NAC
0 IMP 2022 ST_6 NCONIF THS_NAC
0 IMP 2022 ST_6 NC_OAK THS_NAC
0 IMP 2022 ST_6 NC_BEE THS_NAC
0 IMP 2022 ST_6 NC_MAP THS_NAC
0 IMP 2022 ST_6 NC_CHE THS_NAC
0 IMP 2022 ST_6 NC_ASH THS_NAC
0 IMP 2022 ST_6 NC_BIR THS_NAC
0 IMP 2022 ST_6 NC_POP THS_NAC
0 EXP 2021 ST_1_2 CONIF THS_M3
0 EXP 2021 ST_1_2 C_PIN THS_M3
0 EXP 2021 ST_1_2_1 C_PIN THS_M3
0 EXP 2021 ST_1_2_2 C_PIN THS_M3
0 EXP 2021 ST_1_2 C_FIR THS_M3
0 EXP 2021 ST_1_2_1 C_FIR THS_M3
0 EXP 2021 ST_1_2_2 C_FIR THS_M3
0 EXP 2021 ST_1_2 NCONIF THS_M3
0 EXP 2021 ST_1_2 NC_OAK THS_M3
0 EXP 2021 ST_1_2 NC_BEE THS_M3
0 EXP 2021 ST_1_2 NC_BIR THS_M3
0 EXP 2021 ST_1_2_1 NC_BIR THS_M3
0 EXP 2021 ST_1_2_2 NC_BIR THS_M3
0 EXP 2021 ST_1_2 NC_POP THS_M3
0 EXP 2021 ST_1_2 NC_EUC THS_M3
0 EXP 2021 ST_6 CONIF THS_M3
0 EXP 2021 ST_6 C_PIN THS_M3
0 EXP 2021 ST_6 C_FIR THS_M3
0 EXP 2021 ST_6 NCONIF THS_M3
0 EXP 2021 ST_6 NC_OAK THS_M3
0 EXP 2021 ST_6 NC_BEE THS_M3
0 EXP 2021 ST_6 NC_MAP THS_M3
0 EXP 2021 ST_6 NC_CHE THS_M3
0 EXP 2021 ST_6 NC_ASH THS_M3
0 EXP 2021 ST_6 NC_BIR THS_M3
0 EXP 2021 ST_6 NC_POP THS_M3
0 EXP 2021 ST_1_2 CONIF THS_NAC
0 EXP 2021 ST_1_2 C_PIN THS_NAC
0 EXP 2021 ST_1_2_1 C_PIN THS_NAC
0 EXP 2021 ST_1_2_2 C_PIN THS_NAC
0 EXP 2021 ST_1_2 C_FIR THS_NAC
0 EXP 2021 ST_1_2_1 C_FIR THS_NAC
0 EXP 2021 ST_1_2_2 C_FIR THS_NAC
0 EXP 2021 ST_1_2 NCONIF THS_NAC
0 EXP 2021 ST_1_2 NC_OAK THS_NAC
0 EXP 2021 ST_1_2 NC_BEE THS_NAC
0 EXP 2021 ST_1_2 NC_BIR THS_NAC
0 EXP 2021 ST_1_2_1 NC_BIR THS_NAC
0 EXP 2021 ST_1_2_2 NC_BIR THS_NAC
0 EXP 2021 ST_1_2 NC_POP THS_NAC
0 EXP 2021 ST_1_2 NC_EUC THS_NAC
0 EXP 2021 ST_6 CONIF THS_NAC
0 EXP 2021 ST_6 C_PIN THS_NAC
0 EXP 2021 ST_6 C_FIR THS_NAC
0 EXP 2021 ST_6 NCONIF THS_NAC
0 EXP 2021 ST_6 NC_OAK THS_NAC
0 EXP 2021 ST_6 NC_BEE THS_NAC
0 EXP 2021 ST_6 NC_MAP THS_NAC
0 EXP 2021 ST_6 NC_CHE THS_NAC
0 EXP 2021 ST_6 NC_ASH THS_NAC
0 EXP 2021 ST_6 NC_BIR THS_NAC
0 EXP 2021 ST_6 NC_POP THS_NAC
0 EXP 2022 ST_1_2 CONIF THS_M3
0 EXP 2022 ST_1_2 C_PIN THS_M3
0 EXP 2022 ST_1_2_1 C_PIN THS_M3
0 EXP 2022 ST_1_2_2 C_PIN THS_M3
0 EXP 2022 ST_1_2 C_FIR THS_M3
0 EXP 2022 ST_1_2_1 C_FIR THS_M3
0 EXP 2022 ST_1_2_2 C_FIR THS_M3
0 EXP 2022 ST_1_2 NCONIF THS_M3
0 EXP 2022 ST_1_2 NC_OAK THS_M3
0 EXP 2022 ST_1_2 NC_BEE THS_M3
0 EXP 2022 ST_1_2 NC_BIR THS_M3
0 EXP 2022 ST_1_2_1 NC_BIR THS_M3
0 EXP 2022 ST_1_2_2 NC_BIR THS_M3
0 EXP 2022 ST_1_2 NC_POP THS_M3
0 EXP 2022 ST_1_2 NC_EUC THS_M3
0 EXP 2022 ST_6 CONIF THS_M3
0 EXP 2022 ST_6 C_PIN THS_M3
0 EXP 2022 ST_6 C_FIR THS_M3
0 EXP 2022 ST_6 NCONIF THS_M3
0 EXP 2022 ST_6 NC_OAK THS_M3
0 EXP 2022 ST_6 NC_BEE THS_M3
0 EXP 2022 ST_6 NC_MAP THS_M3
0 EXP 2022 ST_6 NC_CHE THS_M3
0 EXP 2022 ST_6 NC_ASH THS_M3
0 EXP 2022 ST_6 NC_BIR THS_M3
0 EXP 2022 ST_6 NC_POP THS_M3
0 EXP 2022 ST_1_2 CONIF THS_NAC
0 EXP 2022 ST_1_2 C_PIN THS_NAC
0 EXP 2022 ST_1_2_1 C_PIN THS_NAC
0 EXP 2022 ST_1_2_2 C_PIN THS_NAC
0 EXP 2022 ST_1_2 C_FIR THS_NAC
0 EXP 2022 ST_1_2_1 C_FIR THS_NAC
0 EXP 2022 ST_1_2_2 C_FIR THS_NAC
0 EXP 2022 ST_1_2 NCONIF THS_NAC
0 EXP 2022 ST_1_2 NC_OAK THS_NAC
0 EXP 2022 ST_1_2 NC_BEE THS_NAC
0 EXP 2022 ST_1_2 NC_BIR THS_NAC
0 EXP 2022 ST_1_2_1 NC_BIR THS_NAC
0 EXP 2022 ST_1_2_2 NC_BIR THS_NAC
0 EXP 2022 ST_1_2 NC_POP THS_NAC
0 EXP 2022 ST_1_2 NC_EUC THS_NAC
0 EXP 2022 ST_6 CONIF THS_NAC
0 EXP 2022 ST_6 C_PIN THS_NAC
0 EXP 2022 ST_6 C_FIR THS_NAC
0 EXP 2022 ST_6 NCONIF THS_NAC
0 EXP 2022 ST_6 NC_OAK THS_NAC
0 EXP 2022 ST_6 NC_BEE THS_NAC
0 EXP 2022 ST_6 NC_MAP THS_NAC
0 EXP 2022 ST_6 NC_CHE THS_NAC
0 EXP 2022 ST_6 NC_ASH THS_NAC
0 EXP 2022 ST_6 NC_BIR THS_NAC
0 EXP 2022 ST_6 NC_POP THS_NAC
0 PRD 2021 EU2_1 TOTAL THS_M3
0 PRD 2021 EU2_1 CONIF THS_M3
0 PRD 2021 EU2_1 NCONIF THS_M3
0 PRD 2021 EU2_1_1 TOTAL THS_M3
0 PRD 2021 EU2_1_1 CONIF THS_M3
0 PRD 2021 EU2_1_1 NCONIF THS_M3
0 PRD 2021 EU2_1_2 TOTAL THS_M3
0 PRD 2021 EU2_1_2 CONIF THS_M3
0 PRD 2021 EU2_1_2 NCONIF THS_M3
0 PRD 2021 EU2_1_3 TOTAL THS_M3
0 PRD 2021 EU2_1_3 CONIF THS_M3
0 PRD 2021 EU2_1_3 NCONIF THS_M3
0 PRD 2022 EU2_1 TOTAL THS_M3
0 PRD 2022 EU2_1 CONIF THS_M3
0 PRD 2022 EU2_1 NCONIF THS_M3
0 PRD 2022 EU2_1_1 TOTAL THS_M3
0 PRD 2022 EU2_1_1 CONIF THS_M3
0 PRD 2022 EU2_1_1 NCONIF THS_M3
0 PRD 2022 EU2_1_2 TOTAL THS_M3
0 PRD 2022 EU2_1_2 CONIF THS_M3
0 PRD 2022 EU2_1_2 NCONIF THS_M3
0 PRD 2022 EU2_1_3 TOTAL THS_M3
0 PRD 2022 EU2_1_3 CONIF THS_M3
0 PRD 2022 EU2_1_3 NCONIF THS_M3

New estimation methodology of absolute poverty in Italy: an example of integrated use of different data sources, Valeria de Martino (Italy)

In the paper presented in the meeting of the UNECE Group of Experts on Measuring Poverty and Inequality held in December 2022, the authors discussed the potential of two innovative data sources and some preliminary results obtained within the project of the Italian National Statistical Institute (Istat) on revising and updating the Italian estimation methodology of absolute poverty.

Languages and translations
English

United Nations Economic Commission for Europe

Palais des Nations, 1211 Geneva 10, Switzerland

UNITED NATIONS

ECONOMIC COMMISSION FOR EUROPE

CONFERENCE OF EUROPEAN STATISTICIANS

Group of Experts on Measuring Poverty and Inequality

28-29 November 2023

Workshop on Harmonization of Poverty Statistics to

Measure SDG 1 and 10

27 November 2023

Title of contribution New estimation methodology of absolute poverty in Italy: an example of

integrated use of different data sources

Author Name(s) Ilaria Arigoni, Alessandro Brunetti, Andrea Cutillo, Valeria de Martino,

Federico Di Leo, Cristina Freguja , Federico Polidoro

Presenter Name Valeria DE MARTINO

Presenter Organization National Institute of Statistics - Istat

Topic Data sources to complement surveys

In the paper presented in the meeting of the UNECE Group of Experts on Measuring Poverty and Inequality

held in December 2022, the authors discussed the potential of two innovative data sources and some

preliminary results obtained within the project of the Italian National Statistical Institute (Istat) on revising

and updating the Italian estimation methodology of absolute poverty.

Recently Istat has completed the above-mentioned project and, indeed, estimated the thresholds using two

new available data sources (currently used to estimate CPIs): the scanner data for food components (largely

used in prices data collection in addition to traditional methods) and, the database of rental contracts

provided by the Italian Tax Office (a typical administrative data source).

The estimation of the different sub- thresholds to the three sub-components of the reference basket (i.e.,

food, housing, residual), is then illustrated, showing the main changes compared to the past, the impact of

the use of new data sources and how they have allowed to obtain more detailed estimates of poverty

thresholds and incidence as well. According to the new estimation methodology, in fact, the thresholds vary

by size and composition of the family (as in the past), by size of the municipality of residence (as in the

past), also vary by region of residence (past they varied by geographical areas

Results obtained are presented here, showing the differences with the basket and methodology previously

used; furthermore, some issues concerning the research work on the measure of absolute poverty in Italy

are discussed.

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

☒ Presentation

☐ Paper (to be submitted by 20 October)

Preliminary determination of admissibility of communication to the Aarhus Convention Compliance Committee-Italy

Languages and translations
English

1

Preliminary determination of admissibility of communication to the Aarhus Convention Compliance Committee concerning compliance

by Italy in connection with access to justice for unregistered environmental associations and orders for costs (ACCC/C/2023/200)

16 June 2023

I. Background to the determination 1. Before considering the substantive merits of any communication, the Committee needs to decide

whether to accept the communication, taking into account the admissibility criteria set out in paragraph

20 of the annex to decision I/7. According to paragraph 20, the Committee must take into account whether

the communication is:

(a) Anonymous;

(b) An abuse of the right to make such a communication;

(c) Manifestly unreasonable;

(d) Incompatible with the provisions of decision I/7 or with the Convention.

2. A further possible criterion is the lack of relevance to the subject matter of the Convention.

3. In addition, the Committee has identified two further criteria for deeming a communication

inadmissible:

(a) When the communication is made with respect to a State which is not a Party to the

Convention, or where the significant events with which the communication is concerned occurred before

the Convention had entered into force for the Party;

(b) When the communication is made with respect to a Party which has opted out of having

communications from the public concerning its compliance considered by the Committee.

4. Should the Committee find that a communication falls under one of the above criteria, it may

find it inadmissible.

5. Furthermore, in accordance with paragraph 21 of the annex to decision I/7, the Committee

“should at all relevant stages take into account any available domestic remedy unless the application of

the remedy is unreasonably prolonged or obviously does not provide an effective and sufficient means

of redress”. The Committee’s view is that this provision does not imply any strict requirement that all

domestic remedies must be exhausted, i.e., the Committee would not be precluded from considering a

case even where the application of the remedy was not unreasonably prolonged. On the other hand, the

failure by a communicant to make use of available domestic remedies might be grounds for the

Committee to determine that the matter should be pursued at the level of domestic procedures rather than

(for the time being) through the compliance mechanism.

II. Preliminary determination of admissibility 6. Having considered the information received, the preliminary view of the Committee is that it

does not fall under any of the four criteria listed in paragraph 20 of the annex to decision I/7. With regard

to the first criterion, the communication is not anonymous and the contact information for the

communicant is provided. The Committee does not find that the communication represents an abuse of

the right to make communications, or that it is manifestly unreasonable. Nor does the content of the

2

communication, or the process through which it has been submitted, appear to be incompatible with the

provisions of decision I/7 or with the Convention.

7. While the Committee at this stage finds it premature to comment on the actual substance of the

communication, it does relate to the procedures and obligations regulated by the provisions of the Aarhus

Convention, and therefore the content of the communication could not be considered to be irrelevant.

8. Italy deposited its instrument of ratification of the Convention on 13 June 2001, meaning that

the Convention entered into force for Italy on 30 October 2001, the general date of the Convention’s entry

into force. Furthermore, Italy has not opted out of the aspects of the compliance mechanism relating to

communications from the public.

9. Accordingly, the preliminary determination of the Committee, subject to review following any

comments received from the Party concerned, is that the communication is admissible.

___________________________

PRE/ACCC/C/2023/202 Italy

Languages and translations
English

To the Secretary of the Supervisory Body

of the Aarhus Convention

[email protected]

Sant'Angelo in Vado 03/07/2023

Subject: participation in the JUWI DEVELOPMENT 04 municipality of

Sant'Angelo in Vado by the Territorial Planning Service of the Province of

Pesaro Urbino

I'm Dini Giuseppe, I live in via

, my IT address is

I am writing on behalf of the self-managed committee that was involved in

the construction of a 6.1 Mw photovoltaic system involving approximately 76,755

square meters of surface area where it would like to build, 52 m from the town

of Sant'Angelo in Vado. I am delegated to represent this stakeholder committee.

My mobile e-mail

The manager of the Province of Pesaro Urbino dott. Maurizio Bartoli of the

Territorial Planning Service of the Province of Pesaro Urbino, is the official

who carries out these procedures.

The Territorial Planning Service of the Province of Pesaro Urbino

independently publishes the various projects which are asked for the

Environmental Impact Assessment (EIA) or requests for subjection to the EIA. The

site is as follows: https://www.provincia.pu.it/funzioni/pianificazione-territoriale/via-e-

valutazione-dincidenza/elaborati-allegati-alle-pubblicazioni-di-via The company JUWI DEVELOPMENT 04 srl, via Sommacampagna, 59/D 37137 VERONA

(VR) requests the Territorial Planning Service, the verification of Eligibility

for the EIA for an agrivoltaic plant (photovoltaic for agricultural purposes)

with a declared power of 6.1 Mw on an effective area of 63,500 square meters.

The project area available to the proposer is located in the municipal area

of Sant'Angelo in Vado, Province of Pesaro Urbino and is identified in the

N.C.T. as indicated below: sheet no. 41, maps 8-9-13-17-26-108-505-665, for a

cadastral area of approx. 76.755, with WGS84 coordinates: 43°40'10.9'' N -

12°25'34.1'' E .

Among the documents, the table relating to the public directly concerned as

they border the plant is missing, as they were not contacted by the Territorial

Planning Service, as required by the Aarhus Convention itself art. 6 co. 2 and

art. 7 of Law 241/1990.

Among other things, the publication of the files takes place in an

encrypted way via the digital signature, which, however, can also be inserted in

a format that is still visible and not used. In this way, access is not

"facilitated" even though the administration has made the Dike decryptor program

available. This behavior does not comply with the provisions of articles 3 and

68 of Legislative Decree 82/2005 known as the Digital Administration Code and

art. 7 Legislative Decree 33/2013 on transparency.

We proceeded to send our observations (1) attaching 55 different signatures

of the interested public, reporting the articles 6 and 8 of the Aarhus

Convention and asking for the correct application. We have also highlighted how

the Legislative Decree 387/2003 on renewable energy plants, art. 12 co. 4

mentions "...carried out in compliance with the principles of simplification and

with the methods established by law no. 241 of 7 August 1990.

The answer received from Dr. Maurizio Bartoli (3) following our further

reminder (2), indicates:

“The proceeding in question was carried out in the manner indicated by

Article 4 of the Regional Law n.11/2019 and by the art. 19 Legislative Decree

no. 152/06 and concluded with Executive Decision no. 1474 of 27/12/2022 with

outcome: "excluded from EIA with environmental conditions";

with the initiation of the procedure (our prot. 25777 of 07/19/2022) and

with the publication of the documents on the website of this institution, in

compliance with the provisions of paragraph 3 of the aforementioned article 19,

they were fully guaranteed forms of participation and publication;

no observations and/or written briefs were submitted during the publication

period.

We also inform you that the observations formulated in the note dated

05/02/2023 cannot be taken into consideration as they relate to a closed

proceeding and received after the deadline for publication."

With the assignment of the exclusion regime from the V.I.A. by the

Territorial Planning Service, the system becomes executable, so that not having

contacted the neighbors becomes for them an omission from the procedure.

Of the Aarhus Convention I consider not applied:

article 6 par. 2, in the part concerning the information to the public in

an adequate, timely and effective manner through public announcements and

individually (in particular);

par. 6

par. 7

par. 8

article 8

Art.6 paragraph 2 Failure to request the table concerning the cadastral

data of neighboring citizens prevented the Territorial Planning Service from

directly contacting these stakeholders

Article 6 paragraph 6 The public finds itself having to consult the various

web spaces of the various administrations involved, making it even difficult to

find projects of local interest. The Territorial Planning Service should have

promptly notified the local municipal authority of the start of the procedure in

its territory, delegating it to public information, which did not happen.

Article 6 paragraph 7 No provision has been made to allow for public

participation.

Article 6 paragraph 8 No consideration was given to the public's comments,

so much so that in order to get answers, a further reminder had to be written.

Article 8 The Territorial Planning Service of the Province of Pesaro Urbino

could have sent the communication of the project to the territorially competent

Municipality and delegated the local administration to public participation

before the end of the procedure.

I believe that the communication concerns the right of public participation

of the citizens of the Sant'Angelo in Vado area. I believe that the Spatial

Planning Service does not consider the Aarhus convention very much, see also the

answer it gave (3).

We wrote (1) (2) twice to get a simple answer; no internal remedies are

envisaged other than recourse to administrative justice which is rather onerous

for the ordinary citizen. In this case, the Municipality of Sant'Angelo in Vado

appealed to the Regional Administrative Court on the incompleteness of the data

and on the administrative discrepancies of the project.

Internal appeals are difficult to apply for the ordinary citizen, they

don't always give results, especially appeals to managers who need to be warned

to get answers. Administrative justice remains very burdensome for the

individual citizen. The various provincial, regional and state bodies should be

obliged to communicate the authorization procedures to the municipalities in

order to delegate them to citizens' rights: access, information, observations.

No international procedures have been invoked. The AgID agency for digital

Italy has been informed, in relation to recalling its supervisory power

regarding the publication of files in non-open format and the lack of

facilitated access to the documentation pursuant to Legislative Decree

82/2005 and Legislative Decree Legislative Decree 33/2013.

I have no privacy issues.

I enclose:

observations made (1)

prompt reply (2)

response from dr. Maurice Bartoli (3)

National legislation

art. 12 Legislative Decree 387/2003 renewable energies

art. 7 L. 241/1990 administrative procedures access

documents articles 3 and 68 of Legislative Decree 82/2005

art. 7 d. Legislative Decree

33/2013 Best regards

Giuseppe Dini

Al Segretario dell’Organismo di vigilanza

della Convenzione di Aarhus

[email protected]

Sant’Angelo in Vado 03/07/2023

Oggetto : partecipazione procedimento JUWI DEVELOPMENT 04 comune di Sant’Angelo

in Vado da parte del Servizio Pianificazione Territoriale Provincia di Pesaro Urbino

Sono Dini Giuseppe abito in via

, il mio indirizzo informatico è

Scrivo a nome del comitato autogestito che si è occupato della realizzazione di un impianto

fotovoltaico di 6,1 Mw che interessa circa 76755 metri quadri di superficie dove si vorrebbe

costruire, a 52 m dal centro abitato di Sant’Angelo in Vado. Sono delegato a rappresentare questo

comitato portatore di interesse diffusi. Mio cellulare e-mail

Il dirigente della Provincia di Pesaro Urbino dott. Maurizio Bartoli del Servizio Pianificazione

Territoriale della Provincia di Pesaro Urbino, è il funzionario che provvede a realizzare questi

procedimenti.

Il Servizio Pianificazione Territoriale della Provincia di Pesaro Urbino, pubblica in maniera

autonoma i vari progetti a cui viene chiesta la Valutazione di Impatto Ambientale (V.I.A.) o le

richieste di assoggettabilità alla VIA . Il sito è questo indicato:

https://www.provincia.pu.it/funzioni/pianificazione-territoriale/via-e-valutazione-dincidenza/

elaborati-allegati-alle-pubblicazioni-di-via

La ditta JUWI DEVELOPMENT 04 srl, via Sommacampagna, 59/D 37137 VERONA (VR)

richiede al Servizio Pianificazione Territoriale, la verifica di Assogettabilità alla V.I.A. per un

impianto agrivoltaico (fotovoltaico a scopo agricolo) con potenza dichiarata di 6,1 Mw su un’area

effettiva di 63500 metri quadri.

L‟area di progetto a disposizione del proponente, è localizzata nel territorio comunale di

Sant‟Angelo in Vado, Provincia di Pesaro Urbino e risulta individuata al N.C.T. come di seguito

indicato: foglio n.41, mapp.li 8-9-13-17-26-108-505-665, per una superficie catastale di mq. 76.755,

con coordinate WGS84: 43°40‟10.9‟‟ N -12°25‟34.1‟‟ E .

Tra i documenti risulta mancante la tavola relativa al pubblico direttamente interessato in

quanto confinante con l’impianto, i quali non sono stati contattati dal Servizio Pianificazione

Territoriale, così come prevede la stessa Convenzione di Aarhus art. 6 co. 2 e l’art. 7 della L.

241/1990.

Fra l’altro la pubblicazione dei files avviene in maniera criptografata per via della firma

digitale, la quale però, può essere inserita anche in un formato comunque visibile e non utilizzato.

In questa maniera l’accesso non è “facilitato” pur avendo l’amministrazione messo a disposizione il

programma decifratore Dike. Tale comportamento risulta difforme a quanto previsto dagli articoli 3

e 68, D. Lgs 82/2005 detto Codice dell’Amministrazione Digitale e art. 7 D.Lgs 33/2013 sulla

trasparenza.

Abbiamo provveduto ad inviare nostre osservazioni (1) allegando 55 firme diverse del

pubblico interessato, riportandovi gli artt. 6 e 8 della Convenzione di Aarhus e chiedendo la giusta

applicazione. Inoltre abbiamo evidenziato come il D. Lgs 387/2003 sugli impianti di Energia

rinnovabile l’art. 12 co. 4 cita "...svolto nel rispetto dei principi di semplificazione e con le

modalita' stabilite dalla legge 7 agosto 1990, n. 241.

La risposta avuta dal dott. Maurizio Bartoli (3) a seguito di un nostro ulteriore sollecito (2) ,

indica:

“il procedimento in oggetto si è svolto nelle modalità indicate dall’art.4 L.R. n.11/2019 e

dall’art. 19 D.Lgs. n.152/06 e si è concluso con Determinazione Dirigenziale n. 1474 del 27/12/2022

con esito: “escluso da VIA con condizioni ambientali”;

con l’avvio del procedimento (ns. prot. 25777 del 19/07/2022) e con la pubblicazione degli

elaborati nel sito web di questo Ente, in ottemperanza al dettato di cui al comma 3 del succitato

art.19, sono state pienamente garantite le forme partecipative e di pubblicazione;

durante il periodo di pubblicazione non sono state presentate osservazioni e/o memorie scritte.

Si comunica inoltre che le osservazioni formulate nella nota del 05/02/2023 non possono

essere prese in considerazione in quanto afferenti un procedimento concluso e pervenute fuori dai

termini di pubblicazione.”

Con l’assegnazione del regime di esclusione dalla V.I.A. da parte del Servizio Pianificazione

Territoriale, l’impianto diventa eseguibile, per cui non aver contattato i confinanti diventa per loro,

una omissione dal procedimento.

Della Convenzione di Aarhus ritengo non applicati:

l’articolo 6

co. 2 , nella parte che riguarda l’informazione al pubblico in maniera adeguata, tempestiva ed

efficace mediante avvisi pubblici e individualmente (in particolare);

co. 6

co. 7

co. 8

articolo 8

Art.6 co 2 La mancata richiesta della tavola inerente i dati catastali dei cittadini confinanti ha

impedito al Servizio Pianificazione Territoriale di contattare direttamente questi portatori di

interesse diretto

Art. 6 co. 6 Il pubblico si trova a dover consultare i diversi spazi Web delle diverse

amministrazioni interessate, diventando difficile anche trovare i progetti che interessano localmente.

Il Servizio Pianificazione Territoriale sarebbe dovuto comunicare tempestivamente all’autorità

Comunale locale l’avvio del procedimento nel suo territorio, delegandola all’informazione del

pubblico, cosa non avvenuta.

Art. 6 co. 7 Nessuna disposizione è stata data per consentire la partecipazione del pubblico.

Art. 6 co. 8 Nessuna considerazione è stata data alle osservazioni del pubblico, tanto che per

avere delle risposte si è dovuto scrivere un ulteriore sollecito.

Articolo 8 Il Servizio Pianificazione Territoriale della Provincia di Pesaro Urbino avrebbe

potuto inviare la comunicazione del progetto al Comune territorialmente competente e delegare

l’amministrazione locale alla partecipazione del pubblico prima della fine del procedimento.

Ritengo che la comunicazione riguardi il diritto di partecipazione pubblica dei cittadini del

territorio di Sant’Angelo in Vado. Ritengo che il Servizio Pianificazione Territoriale non consideri

molto la convenzione di Aarhus , si veda anche la risposta che ha dato (3).

Abbiamo scritto due volte (1) (2) per avere una semplice risposta; non sono previsti rimedi

interni se non il ricorso alla giustizia amministrativa che per il cittadino comune risulta piuttosto

onerosa. In questo caso il Comune di Sant’Angelo in Vado ha fatto ricorso al Tribunale

Amministrativo Regionale sulla incompletezza dei dati e sulle difformità amministrative del

progetto.

Ricorsi interni sono difficili da applicare per il cittadino comune, non danno sempre risultati

in particolare i ricorsi ai dirigenti che per avere risposte devono essere diffidati. La giustizia

amministrativa rimane davvero onerosa per il singolo cittadino.

Si dovrebbe obbligare i vari enti Provincia, Regione, Stato a comunicare i procedimenti

autorizzativi ai Comuni per delegare loro ai diritti dei cittadini: accesso, informazione, osservazioni.

Non sono state invocate procedure internazionali. E’ stata informata l’AGID agenzia per

l’Italia digitale, relativamente richiamando il suo potere di vigilanza in merito alla pubblicazione di

files in formato non aperto ed al mancato accesso facilitato alla documentazione ai sensi del D. Lgs

82/2005 e D. Lgs 33/2013.

Non ho problemi di riservatezza.

Allego:

osservazioni effettuate (1)

sollecito risposta (2)

risposta del dott. Maurizio Bartoli (3)

Legislazione Nazionale

art. 12 D. Lgs 387/2003 energie rinnovabili

art. 7 L. 241/1990 procedimenti amministrativi accesso atti

articoli 3 e 68 D. Lgs 82/2005

art. 7 d. lgs 33/2013

Distinti saluti

Giuseppe Dini

English

Annex1_ENG.pdf

To the manager of the VIA Service, Dr. Maurice Bartoli to the director of legal affairs Dr. Andrea Pacchiarotti Province of Pesaro Urbino

Sant'Angelo in Vado 28.01.2023

Subject: Sant'Angelo in Vado agri-voltaic plant Jwvi Development 04 s.r.l. environmental information pursuant to Legislative Decree 195/2005 and comments on the project.

The undersigned citizens with regard to the agrivoltaic plant in question express a request for information pursuant to Legislative Decree 195/2005, regarding compliance with their participation and involvement, as requested by Law 108/2001 which transposes the Aarhus Convention.

In fact, the regulations that regulate the agri-voltaic sector tend to exclude any intervention that would hinder the construction of these systems, which unfortunately can also be achieved with a negative opinion on the landscape of the superintendency.

We wonder if with your verification of non-subjectibility to the EIA for this plant, which although it affects 7 hectares with a total power of 6.1 Mw, how can the following statements, provided for by the Aarhus convention, dedicated to participation be respected:

art. 6 2. The public concerned shall be informed at an early stage of the environmental decision- making process in an appropriate, timely and effective manner, either through public notices or individually. The information concerns in particular:

a) the proposed activity and the request on which a decision will be taken; b) the nature of any decisions or the draft decision; c) the public authority responsible for taking the decision; d) the procedure envisaged, including (to the extent such information can be provided):

i) the starting date of the procedure; ii) the opportunities for participation offered to the public; iii) the date and place of any public hearings envisaged; iv) an indication of the public authority to which it is possible to contact to obtain the relevant

information and with which such information has been deposited for examination by the public; v) indication of the public authority or any other official body to which observations and

questions may be addressed, as well as the deadlines for their presentation; vi) an indication of the environmental information available on the proposed activity;

e) subjecting the activity in question to an environmental impact assessment procedure at national or transboundary level.

3. Reasonable deadlines shall be set for the various stages of the public participation procedure, so as to allow sufficient time to inform the public pursuant to paragraph 2 and to allow them to prepare for and effectively participate in the environmental decision-making process.

art. 8 a) set sufficient deadlines to allow effective participation; b) publish legislative proposals or otherwise make them publicly available; c) allow the public to comment directly or through representative advisory bodies. The results of public participation are taken into account to the greatest extent possible.

You will agree with us that except in the publication of the data, all other aspects are neglected also becoming at risk the possible submission of observations since your opinion derives from a presentation of "not subject to V.I.A.".

We therefore ask for answers in this regard.

However, we take the liberty of sending our observations on the location of the plant.

1. failure to apply Legislative Decree 387/2003 art. 12 co. 4 "...carried out in compliance with the principles of simplification and with the methods established by the law of 7 August 1990, n. 241,", of which art.7, involvement of the subjects to whom a prejudice could derive.

2. distance from the inhabited center of just over 50 m. There does not appear to be any reference to this aspect

3. distance from the road s.s 73 bis referred to in Presidential Decree 495/1992 for type B roads expected to be 40 m

4. risks of glare from reflection on the panels both for the s.s.73 bis and for the houses and inhabited areas arranged around the system, especially in the summer period.

5. In a large part of the area concerned, Monte Nerone is clearly visible and, although not indicated in the regulatory provisions, the constraint of the same should be considered.

6. The innumerable poles driven into the ground risk connecting the external runoff and consequent leaching with the water table which is subject to constraints.

We therefore ask for answers in this regard within the timescales and methods set forth in the aforementioned standards.

Best regards Send response to first signer.

Giuseppe Dini (digitally signed)

Annex1_ITA.pdf

Al dirigente del Servizio VIA dott. Maurizio Bartoli al dirigente degli affari legali dott. Andrea Pacchiarotti

Provincia di Pesaro Urbino

Sant’Angelo in Vado 28.01.2023

Oggetto: Impianto agrivoltaico Sant’Angelo in Vado Jwvi Development 04 s.r.l. informazioni ambientali ai sensi del D. L.vo 195/2005 e osservazioni al progetto.

I sottoscritti cittadini in merito all’impianto agrivoltaico in oggetto esprimono richiesta di informazioni ai sensi del D. L.vo 195/2005, circa il rispetto della partecipazione e coinvolgimento degli stessi, così come richiesta dalla L.108/2001 che recepisce la convenzione di Aarhus.

In effetti le normative che regolano il settore agrivoltaico, tendono ad escludere qualsiasi intervento di ostacolo alla realizzazione di tali impianti, realizzabili purtroppo anche col parere negativo, sul paesaggistico della soprintendenza.

Ci chiediamo se con la vostra verifica di non assogettibilità alla VIA per questo impianto, che seppure interessa 7 ettari con una potenza complessiva di 6, 1 Mw, come possano essere rispettate le seguenti affermazioni, previste dalla convenzione di Aarhus, dedicate alla partecipazione:

art. 6

2. Il pubblico interessato è informato nella fase iniziale del processo decisionale in materia ambientale in modo adeguato, tempestivo ed efficace, mediante pubblici avvisi o individualmente. Le informazioni riguardano in particolare:

a) l'attività proposta e la richiesta su cui sarà presa una decisione; b) la natura delle eventuali decisioni o il progetto di decisione; c) l'autorità pubblica responsabile dell'adozione della decisione; d) la procedura prevista, ivi compresi (nella misura in cui tali informazioni possano essere fornite):

i) la data di inizio della procedura;

ii) le possibilità di partecipazione offerte al pubblico;

iii) la data e il luogo delle audizioni pubbliche eventualmente previste;

iv) l'indicazione dell'autorità pubblica cui è possibile rivolgersi per ottenere le pertinenti informazioni e presso la quale tali informazioni sono state depositate per consentirne l'esame da parte del pubblico;

v) l'indicazione dell'autorità pubblica o di qualsiasi altro organo ufficiale cui possono essere rivolti osservazioni e quesiti nonché i termini per la loro presentazione;

vi) l'indicazione delle informazioni ambientali disponibili sull'attività proposta; e) l'assoggettamento dell'attività in questione ad un procedura di valutazione dell'impatto ambientale a livello

nazionale o transfrontaliero. 3. Per le varie fasi della procedura di partecipazione del pubblico sono fissati termini ragionevoli, in modo da

prevedere un margine di tempo sufficiente per informare il pubblico ai sensi del paragrafo 2 e consentirgli di prepararsi e di partecipare effettivamente al processo decisionale in materia ambientale.

art. 8 a) fissare termini sufficienti per consentire l'effettiva partecipazione; b) pubblicare le proposte legislative o renderle accessibili al pubblico in altro modo; c) consentire al pubblico di formulare osservazioni direttamente o per il tramite di organi consultivi

rappresentativi. I risultati della partecipazione del pubblico sono presi in considerazione nella misura più ampia possibile.

Converrete con noi che eccetto nella pubblicazione dei dati, tutti gli altri aspetti vengono trascurati diventando anche a rischio la possibile presentazione di osservazioni essendo il vostro parere derivante da una presentazione di “non assoggettabilità a VIA”.

Chiediamo perciò risposte in merito.

Ci permettiamo comunque di inviare nostre osservazioni sulla localizzazione dell’impianto.

1. mancata applicazione del D.L.vo 387/2003 art. 12 co. 4 "...svolto nel rispetto dei principi di semplificazione e con le modalita' stabilite dalla legge 7 agosto 1990, n. 241,", di cui art.7 , coinvolgimento dei soggetti ai quali possa derivare un pregiudizio.

2. distanza dal centro abitato di poco superiore ai 50 m. Non paiono esserci riferimenti a questo aspetto

3. distanza dalla strada s.s 73 bis cui DPR 495/1992 per le strade di tipo B previsto di 40 m 4. rischi di abbagliamento per riflessione sui pannelli sia per la s.s.73 bis che per le case e

abitati disposti intorno all’impianto, in particolare nel periodo estivo. 5. In una buona parte dell’area interessata è ben visibile il monte Nerone e seppure non

indicato nei dispositivi di regolamentazione, il vincolo dello stesso dovrebbe essere considerato.

6. Gli innumerevoli pali infilati sul terreno rischiano di mettere in connessione il dilavamento esterno e conseguenti lisciviazioni, con la falda freatica di cui è presente il vincolo.

Chiediamo perciò risposte in merito nei tempi e modalità previste dalle norme citate. Distinti saluti

Inviare risposta al primo firmatario.

Giuseppe Dini

(firmato digitalmente)

Annex2_ENG.pdf

To the manager of the VIA Service, Dr. Maurice Bartoli To the Director of Legal Affairs Dr. Andrea Pacchiarotti

Province of Pesaro Urbino

Sant'Angelo in Vado 01.04.2023

Subject: Sant'Angelo in Vado agri-voltaic plant Jwvi Development 04 s.r.l. environmental information pursuant to Legislative Decree 195/2005.

We have forwarded our request pursuant to Law 108/2001 and Legislative Decree 195/2005 on 02.02.2023.

To date we have not yet received any response regarding our request for environmental information relating to the application of the rules that refer to the participation of citizens in environmental proceedings.

In particular, with regard to the installation of the agri-voltaic system in the municipality of Sant'Angelo in Vado, albeit in relation to the request for non-subjectibility to the Environmental Impact Assessment, we have found the failure to comply with the above standards and therefore the lack of public involvement before the end of the proceeding and the non-involvement of the neighboring direct interested parties.

We also understand the non-publication of all the required documents.

We look forward to your response in this regard.

In the event that your silence persists within and no later than 15 days, we will contact another authority.

Best regards

The signatories

Giuseppe Dini first signatory (digitally signed)

and the following

Annex2_ITA_Redacted.pdf

Al dirigente del Servizio VIA dott. Maurizio Bartoli Al dirigente degli affari legali dott. Andrea Pacchiarotti

Provincia di Pesaro Urbino

Sant’Angelo in Vado 01.04.2023

Oggetto: Impianto agrivoltaico Sant’Angelo in Vado Jwvi Development 04 s.r.l. informazioni ambientali ai sensi del D. L.vo 195/2005.

Abbiamo inoltrato una nostra richiesta ai sensi della L. 108/2001 e del D.Lgs 195/2005 il 02.02.2023.

A tutt'oggi non abbiamo ancora ricevuto alcuna risposta in merito alla nostra richiesta di informazione ambientale relativa all'applicazione delle norme che si riferiscono alla partecipazione dei cittadini nei procedimenti a carattere ambientale.

In particolare in merito alla installazione dell'impianto agrivoltaico nel comune di Sant'Angelo in Vado, seppure relativamente alla richiesta di non assoggettabilità alla Valutazione di Impatto Ambientale, abbiamo rilevato il mancato rispetto alle norme sopra riportate e quindi il mancato coinvolgimento del pubblico prima della fine del procedimento e del mancato coinvolgimento dei diretti interessati confinanti.

Ci risulta anche la non pubblicazione di tutti i documenti previsti.

Confidiamo in una vostra risposta in merito.

Nel caso che perduri il vostro silenzio entro e non oltre 15 gg, ci rivolgeremo ad altra autorità.

Distinti saluti I firmatari

Giuseppe Dini primo firmatario (firmato digitalmente)

e seguenti

Annex3_ENG_redacted_.pdf

Annex3_ITA_redacted.pdf

English

Annex4_ITA_ENG.pdf

D.Lgs. 7-3-2005 n. 82

Art. 3. Diritto all'uso delle tecnologie 1. Chiunque ha il diritto di usare, in modo accessibile ed efficace, le soluzioni e gli strumenti di cui al presente Codice nei rapporti con i soggetti di cui all'articolo 2, comma 2, anche ai fini dell’esercizio dei diritti di accesso e della partecipazione al procedimento amministrativo, fermi restando i diritti delle minoranze linguistiche riconosciute.

Art. 3. Right to use technologies 1. Everyone has the right to use the solutions and tools in an accessible and effective way tools referred to in this Code in relations with the subjects referred to in article 2, paragraph 2, also for the purpose of exercising the rights of access and participation in the procedure administrative, without prejudice to the rights of recognized linguistic minorities.

Art. 68. Analisi comparativa delle soluzioni (625)

1. Le pubbliche amministrazioni acquisiscono programmi informatici o parti di essi nel rispetto dei princìpi di economicità e di efficienza, tutela degli investimenti, riuso e neutralità tecnologica, a seguito di una valutazione comparativa di tipo tecnico ed economico tra le seguenti soluzioni disponibili sul mercato: a) software sviluppato per conto della pubblica amministrazione; b) riutilizzo di software o parti di esso sviluppati per conto della pubblica amministrazione; c) software libero o a codice sorgente aperto; d) software fruibile in modalità cloud computing; e) software di tipo proprietario mediante ricorso a licenza d'uso; f) software combinazione delle precedenti soluzioni.

Art. 68. Comparative analysis of solutions (625) 1. Public administrations acquire computer programs or parts of them in the compliance with the principles of economy and efficiency, protection of investments, reuse e technological neutrality, following a comparative technical evaluation ed economical among the following solutions available on the market: a) software developed on behalf of the public administration; b) reuse of software or parts of it developed on behalf of the public administration; c) free or open source software; d) software usable in cloud computing mode; e) proprietary software through the use of a user licence; f) software combination of the previous solutions.

Annex5_ITA_ENG.pdf

D. Lgs 33/2013

Art. 7 - Dati aperti e riutilizzo 1. I documenti, le informazioni e i dati oggetto di pubblicazione obbligatoria ai sensi della normativa vigente, resi disponibili anche a seguito dell'accesso civico di cui all'articolo 5, sono pubblicati in formato di tipo aperto ai sensi dell'articolo 68 del Codice dell'amministrazione digitale, di cui al decreto legislativo 7 marzo 2005, n. 82, e sono riutilizzabili ai sensi del decreto legislativo 24 gennaio 2006, n. 36, del decreto legislativo 7 marzo 2005, n. 82, e del decreto legislativo 30 giugno 2003, n. 196, senza ulteriori restrizioni diverse dall'obbligo di citare la fonte e di rispettarne l'integrità.

Art. 7 - Open data and reuse 1. The documents, information and data subject to mandatory publication pursuant to the law in force, also made available following the civic access referred to in article 5, are published in the format open-type pursuant to article 68 of the Digital Administration Code, pursuant to the legislative decree 7 March 2005, no. 82, and are reusable in accordance with legislative decree 24 January 2006, n. 36, of the decree legislative March 7, 2005, n. 82, and of the legislative decree 30 June 2003, n. 196, without further restrictions other than the obligation to cite the source and to respect its integrity.

Annex6_ITA_ENG.pdf

Decreto Legislativo 29 dicembre 2003, n. 387 Attuazione della direttiva 2001/77/CE relativa alla promozione dell'energia elettrica prodotta da fonti energetiche rinnovabili nel mercato interno dell'elettricità.

Art. 12. Razionalizzazione e semplificazione delle procedure autorizzative

1. Le opere per la realizzazione degli impianti alimentati da fonti rinnovabili, nonché le opere connesse e le infrastrutture indispensabili alla costruzione e all'esercizio degli stessi impianti, autorizzate ai sensi del comma 3, sono di pubblica utilità ed indifferibili ed urgenti.

2. Restano ferme le procedure di competenza del Mistero dell'interno vigenti per le attività soggette ai controlli di prevenzione incendi.

3. La costruzione e l'esercizio degli impianti di produzione di energia elettrica alimentati da fonti rinnovabili, gli interventi di modifica, potenziamento, rifacimento totale o parziale e riattivazione, come definiti dalla normativa vigente, nonché le opere connesse e le infrastrutture indispensabili alla costruzione e all'esercizio degli impianti stessi, ivi inclusi gli interventi, anche consistenti in demolizione di manufatti o in interventi di ripristino ambientale, occorrenti per la riqualificazione delle aree di insediamento degli impianti, sono soggetti ad una autorizzazione unica, rilasciata dalla regione o dalle province delegate dalla regione, ovvero, per impianti con potenza termica installata pari o superiore ai 300 MW, dal Ministero dello sviluppo economico, nel rispetto delle normative vigenti in materia di tutela dell'ambiente, di tutela del paesaggio e del patrimonio storico-artistico, che costituisce, ove occorra, variante allo strumento urbanistico. A tal fine la Conferenza dei servizi è convocata dalla regione o dal Ministero dello sviluppo economico entro trenta giorni dal ricevimento della domanda di autorizzazione. Resta fermo il pagamento del diritto annuale di cui all'articolo 63, commi 3 e 4, del testo unico delle disposizioni legislative concernenti le imposte sulla produzione e sui consumi e relative sanzioni penali e amministrative, di cui al decreto legislativo 26 ottobre 1995, n. 504, e successive modificazioni. Per gli impianti offshore, incluse le opere per la connessione alla rete,l'autorizzazione è rilasciata dal Ministero dei trasporti, sentiti il Ministero dello sviluppo economico e il Ministero dell'ambiente e della tutela del territorio e del mare, con le modalità di cui al comma 4 e previa concessione d'uso del demanio marittimo da parte della competente autorità marittima. Per gli impianti di accumulo idroelettrico attraverso pompaggio puro l’autorizzazione è rilasciata dal Ministero della transizione ecologica, sentito il Ministero delle infrastrutture e della mobilità sostenibili e d’intesa con la regione interessata, con le modalità di cui al comma 4. (comma modificato dall'art. 31 del d.lgs. n. 46 del 2014, poi dall'art. 56, comma 2, legge n. 120 del 2020, poi dall'art. 31-quater, comma 1, lettera b), della legge n. 108 del 2021, poi dall'art. 13, comma 1, legge n. 34 del 2022)

3-bis. Il Ministero della cultura partecipa al procedimento unico ai sensi del presente articolo in relazione ai progetti aventi ad oggetto impianti alimentati da fonti rinnovabili, comprese le opere connesse e le infrastrutture indispensabili alla costruzione e all’esercizio degli stessi impianti, localizzati in aree sottoposte a tutela, anche in itinere, ai sensi del decreto legislativo 22 gennaio 2004, n. 42, nonché nelle aree contermini ai beni sottoposti a tutela ai sensi del medesimo decreto legislativo. (comma introdotto dall'art. 30, comma 1, della legge n. 108 del 2021,

4. L'autorizzazione di cui al comma 3 è rilasciata a seguito di un procedimento unico, al quale partecipano tutte le Amministrazioni interessate, svolto nel rispetto dei principi di semplificazione e con le modalità stabilite dalla legge 7 agosto 1990, n. 241, e successive modificazioni e integrazioni. Il rilascio dell'autorizzazione costituisce titolo a costruire ed esercire l'impianto in conformità al progetto approvato e deve contenere l'obbligo alla rimessa in pristino dello stato dei luoghi a carico del soggetto esercente a seguito della dismissione dell'impianto o, per gli impianti idroelettrici, l'obbligo alla esecuzione di misure di reinserimento e recupero ambientale. Fatto salvo il previo espletamento, qualora prevista, della verifica di assoggettabilità sul progetto preliminare, di cui all'articolo 20 del decreto legislativo 3 aprile 2006, n. 152, e successive modificazioni, il termine massimo per la conclusione del procedimento unico non può essere superiore a novanta giorni, al netto dei tempi previsti dall'articolo 26 del decreto legislativo 3 aprile 2006, n. 152, e successive modificazioni, per il provvedimento di valutazione di impatto ambientale.

Legislative Decree 29 December 2003, n. 387 Implementation of Directive 2001/77/EC on the promotion of electricity produced from renewable energy sources in the internal electricity market.

Art. 12. Rationalization and simplification of authorization procedures 1. The works for the construction of plants powered by renewable sources, as well as the connected works and infrastructures essential for the construction and operation of the same plants, authorized pursuant to paragraph 3, are of public utility and cannot be deferred and urgent. 2. The procedures pertaining to the Mystery of the Interior in force for activities subject to fire prevention controls remain unchanged. 3. The construction and operation of electricity production plants powered by renewable sources, the modification, upgrading, total or partial refurbishment and reactivation, as defined by current legislation, as well as the connected works and the infrastructures essential for the construction and the operation of the plants themselves, including the interventions, also consisting in the demolition of buildings or in environmental restoration interventions, necessary for the redevelopment of the settlement areas of the plants, are subject to a single authorization, issued by the region or by the provinces delegated by the region, or, for plants with installed thermal power equal to or greater than 300 MW, by the Ministry of Economic Development, in compliance with current regulations on environmental protection, landscape protection and historical-artistic heritage, which it constitutes, where necessary, a variant of the urban planning instrument. To this end, the Services Conference is convened by the Region or by the Ministry of Economic Development within thirty days of receipt of the application for authorisation. The payment of the annual fee referred to in article 63, paragraphs 3 and 4, of the consolidated text of legislative provisions concerning taxes on production and consumption and related penal and administrative sanctions, referred to in legislative decree 26 October 1995, n. . 504, and subsequent amendments. For offshore plants, including grid connection works, the authorization is issued by the Ministry of Transport, after consultation with the Ministry of Economic Development and the Ministry of the Environment and the Protection of the Land and Sea, in the manner in paragraph 4 and subject to the concession of use of the maritime state property by the competent maritime authority. For hydroelectric storage plants through pure pumping, the authorization is issued by the Ministry of Ecological Transition, after consultation with the Ministry of Infrastructure and Sustainable Mobility and in agreement with the region concerned, in the manner referred to in paragraph 4. (paragraph amended by Article 31 of Legislative Decree No. 46 of 2014, then by Article 56, paragraph 2, Law No. 120 of 2020, then by Article 31-quater, paragraph 1, letter b ), of the law n. 108 of 2021, then by art. 13, paragraph 1, law n. 34 of 2022) 3-bis. The Ministry of Culture participates in the single procedure pursuant to this article in relation to projects involving plants powered by renewable sources, including related works and infrastructures essential for the construction and operation of the same plants, located in areas subject to protection , also in progress, pursuant to legislative decree 22 January 2004, n. 42, as well as in the areas adjacent to the properties subject to protection pursuant to the same legislative decree. (paragraph introduced by article 30, paragraph 1, of law no. 108 of 2021, 4. The authorization referred to in paragraph 3 is issued following a single procedure, in which all the Administrations concerned participate, carried out in compliance with the principles of simplification and with the methods established by the law of 7 August 1990, n. 241, and subsequent modifications and additions. The release of the authorization constitutes the right to build and operate the plant in compliance with the approved project and must contain the obligation to restore the state of the places to pristine condition at the expense of the operator following the decommissioning of the plant or, for plants hydroelectric plants, the obligation to carry out reintegration and environmental recovery measures. Without prejudice to the prior completion, if foreseen, of the verification of subjectability on the preliminary project, pursuant to article 20 of the legislative decree of 3 April 2006, n. 152, and subsequent amendments, the maximum term for the conclusion of the single procedure cannot be more than ninety days, net of the times established by article 26 of the legislative decree 3 April 2006, n. 152, and subsequent amendments, for the provision of environmental impact assessment.

Annex7_ITA_ENG.pdf

LEGGE 7 agosto 1990, n. 241

Nuove norme in materia di procedimento amministrativo e di diritto di accesso ai documenti amministrativi.

Art. 7. (( (Comunicazione di avvio del procedimento) )) 1. Ove non sussistano ragioni di impedimento derivanti da particolari esigenze di celerita' del procedimento, l'avvio del procedimento stesso e' comunicato, con le modalita' previste dall'articolo 8, ai soggetti nei confronti dei quali il provvedimento finale e' destinato a produrre effetti diretti ed a quelli che per legge debbono intervenirvi. Ove parimenti non sussistano le ragioni di impedimento predette, qualora da un provvedimento possa derivare un pregiudizio a soggetti individuati o facilmente individuabili, diversi dai suoi diretti destinatari, l'amministrazione e' tenuta a fornire loro, con le stesse modalita', notizia dell'inizio del procedimento. 2. Nelle ipotesi di cui al comma 1 resta salva la facolta' dell'amministrazione di adottare, anche prima della effettuazione delle comunicazioni di cui al medesimo comma 1, provvedimenti cautelari.

LAW 7 August 1990, n. 241 New rules on administrative procedure and right of access to administrative documents. Article 7. (( (Communication of initiation of the procedure) )) 1. Where there are no reasons for impediment deriving from particular needs of speed of the procedure, the start of the procedure itself is communicated, in the manner envisaged by article 8, to the subjects against whom the provision final and 'intended to produce direct effects and to those who for law must intervene. Where equally the reasons do not exist of impediment mentioned above, if it may derive from a measure prejudice to individuals identified or easily identifiable, other than its direct recipients, the administration is required to provide them, in the same manner, with news of the start of the method. 2. In the hypotheses referred to in paragraph 1, the right remains of the administration to adopt, even before the execution of the communications referred to in the same paragraph 1, provisions precautionary.

  • LEGGE 7 agosto 1990, n. 241
    • Nuove norme in materia di procedimento amministrativo e di diritto di accesso ai documenti amministrativi.