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United Kingdom of Great Britain and Northern Ireland

UK Statistic Authority’s Centre for Applied Data Ethics (CADE) – the first three years. Nicola Shearman (Office of National Statistics, UK)

Languages and translations
English

1

UK Statistic Authority’s Centre for Applied Data Ethics (CADE) – the first three years Nicola Shearman (Office of National Statistics, UK) e-mail [email protected]

Abstract

This presentation aims to communicate the first three year’s work of the UK Statistic Authority’s Centre for Applied Data Ethics (CADE), present key ethical considerations to researchers working with population, administrative and other secondary data, and describe the innovative methods that have been used to review over 1000 pieces of research in those three years.

The CADE was established in February 2021 with the aim of enabling

researchers and statisticians, both within government and outside of it, to effectively address potential ethical issues in their use of data for the public good. To assist researchers in practically applying data stewardship principles to their research, an ethics self-assessment tool has been developed. The ethics self- assessment process aims to offer researchers an easy-to-use framework to review the ethics of their own projects throughout the research cycle, whilst promoting a culture of “ethics by design”.

In three years’ worth of use, the self-assessment tool has been widely

adopted across government, academia and the commercial and charities sectors. Analysis of the work that has been supported by this tool has revealed several topics where researchers could further develop their own research. Well designed and communicated research that demonstrates consideration of these factors enables quicker and safer access to data. In response to these findings, CADE have developed specific guidance pieces to assist the analytical community in considering these ethical concerns in their research design and communicating them effectively to ethics bodies and the wider public to ensure effective and consistent data stewardship practices.

mailto:[email protected]

2

This presentation will support delegates by going into detail in the defining and realising of public good in research, engaging public audiences with research, and considering (and demonstrating) the public view in research design. It will also aid delegates by providing them with a framework that they can use to demonstrate consideration of traditional ethical concerns and also ethical concerns in new, emerging and currently unknown fields..

Presentation, Nadir Zanini (Ofqual, United Kingdom)

Languages and translations
English

Monitoring attainment gaps for students with protected characteristics in England Nadir Zanini

Expert meeting on Statistics on Children Geneva, 4-6 March 2024

■ Background and motivation: □ Education in England and the pandemic □ Exams and teacher judgement

■ Monitoring attainment gaps: □ Common descriptive statistics □ Ofqual’s equalities analysis

■ Lessons learnt: □ Methodological advancements □ Substantive findings □ Areas for further development

Outline

2

■ Students in England: □ Take exams at 16 and 18 □ Choose a combination of General (GCSE/A level)

and Vocational/Technical qualifications

Background and motivation

3

■ In 2020, with the outbreak of Covid-19: □ Schools closed and exams cancelled □ Exams replaced by teacher judgement in 2020

and 2021

Attainment gaps

4

■ Teacher judgement: □ More vulnerable to bias than test-based assessment □ Potentially biased against specific groups of students

■ Fears that: □ Existing attainment gaps widened □ New inequalities created

■ Exams reintroduced in 2022, bust still concerns for the inequal impact of the pandemic on children

■ Existing descriptive statistics – grade distributions broken down by selected students’ characteristics

Monitoring attainment gaps

5

Multi- variate

analysis

Presen tation

Data

Broaden student’s information through linked administrative data:

• Protected characteristics • (Prior and concurrent) attainment • Socio-economic deprivation

Shift to a multi-variate approach: • Account for the interplay of

characteristics – interpret findings as ‘holding other factors fixed’

• Control for school-fixed effects

Presentation: • Focus on ‘notable

changes’ over-time • Interactive report

■ Ofqual’s approach – equalities analysis:

■ Relative differences between students with Special Education Needs and Disabilities (and those without) :

Lesson learnt n. 1a – Advantages of a multivariate approach

6

□ Results differ for multivariate analysis descriptive statistics

□ Interplay between students’ characteristic

□ Huge role played by prior attainment – best predictor

Raw differences – descriptive statistics

Modelled results – multivariate approach

■ Gender gap (boys vs girls) at A level (18-year-olds, academic path):

Lesson learnt n. 1b – Advantages of a multivariate approach

7

□ Results differ not only in terms of size, also in terms of sign/direction

□ Simple descriptive statistics can be misleading

Raw differences – descriptive statistics

Modelled results – multivariate approach

■ Gender gap (boys vs girls) at A level (18-year-olds, academic path): [as before, but focus on multivariate approach results]:

Lesson learnt n. 2 – Substantive results: teacher judgement

8

□ A clearly different pattern was highlighted when teacher judgement was used

□ Indication that teacher judgement may be biased

Pandemic years 2020 and 2021 – boys achieved lower grades with

teacher judgement

Pre and post pandemic – boys achieved higher

grades in exams

■ Attainment gaps may be due to pre-existing societal differences, so focus on changes over-time (as opposed to gaps at a given point in time)

■ Multi-step method to identify changes that are ‘worthy of note’: 1. Statistically significant 2. Larger than year-on-year fluctuations 3. Exceeding an effect size criterion

■ Advantages: □ Given the large sample size, we do not flag very small differences between

groups/years □ Only changes that are worthy of note as operationally relevant are flagged

Lesson learnt n. 3 – Presentation: ‘notable changes’ over time

9

■ The are many combinations of different students’ characteristics and different ways to look at the data – large number of graphs and charts

■ User engagement highlighted that it is helpful to be able to explore the results focussing on specific areas

■ Results published as an accessible interactive report – web dashboard:

Lesson learnt n. 4 – Interactive report and user engagement

10

https://analytics.ofqual.gov.uk/apps/AllQualifications/Equalities/

■ A linked administrative dataset was put together: □ Students’ attainment, prior and concurrent (Ofqual collects this data from Awarding

Organisations) □ Demographic and socio-economic background (National Pupil Database and the

Individualised Learner Record held by the UK Department for Education)

■ This data is potentially useful for investigating a range of policy-related questions by government analysts and academics: □ Can be further augmented, for example with information on university admissions □ GRADE (Grading and Admissions Data for England) is available to external

researchers for independent analysis and evaluation □ Safeguards were put in place to protect children’s data (ie 5 Safes Framework)

Lesson learnt n. 5 – Data to be used for further research

11

https://www.gov.uk/government/collections/grade-data-sharing-project

■ Limitations and further areas for development: □ Interpretation – The complexity of attainment gaps and how they have been estimated

may be difficult to communicate □ Data – There are still missing information and additional data that could be added in

■ We have learnt a lot: □ Putting together data from multiple administrative sources is an investment, but it has

good returns (especially if the data is then used also for other purposes) □ Presenting and interpreting the analysis in an engaging and accessible way helps

raising awareness and avoiding misuse of statistics □ Using a multi-variate approach allowed us to retrieve more robust evidence

■ Overall – we should encourage the use of more advanced methodology/innovation for statistical monitoring as a source of robust/impactful evidence to inform policies

Final remarks

12

To know more about Ofqual’s equalities analysis,

please visit:

https://analytics.ofqual.gov.uk/

Thank you!

13

https://analytics.ofqual.gov.uk/
  • Monitoring attainment gaps �for students with protected characteristics in England ��Nadir Zanini��Expert meeting on Statistics on Children�Geneva, 4-6 March 2024
  • Outline
  • Background and motivation
  • Attainment gaps
  • Monitoring attainment gaps
  • Lesson learnt n. 1a – Advantages of a multivariate approach
  • Lesson learnt n. 1b – Advantages of a multivariate approach
  • Lesson learnt n. 2 – Substantive results: teacher judgement
  • Lesson learnt n. 3 – Presentation: ‘notable changes’ over time
  • Lesson learnt n. 4 – Interactive report and user engagement
  • Lesson learnt n. 5 – Data to be used for further research
  • Final remarks
  • To know more about Ofqual’s equalities analysis, please visit: ���https://analytics.ofqual.gov.uk/���Thank you!

Presentation, Izzy Millward (Office for National Statistics, United Kingdom)

Languages and translations
English

Improving data on Violence Against Children in the UK

Izzy Millward Senior Researcher Office for National Statistics (ONS) [email protected]

Official Sensitive (if required)

2 Official Sensitive (if required)

Current data and gaps Indicators from the Crime Survey for England and Wales (CSEW):

Evidence gaps:

Prevalence and nature of (non-sexual) violence

against children (aged 10- 15) in the past year

Prevalence of lifetime childhood violence (sexual,

emotional, physical)

Current scale of sexual violence in the

UK

Experience of VAC in non-household

populations

Comparable measure of VAC for children under the age of 18

3 Official Sensitive (if required)

Improving measure of VAC in the UK

1. Transforming the children’s CSEW to push-to-web data collection

2. Feasibility study to determine whether a new national survey could provide an effective source of data on the current scale of child abuse

4 Official Sensitive (if required)

1. Push-to-web data collection for the Children’s CSEW

5 Official Sensitive (if required)

Measuring VAC through push-to-web data collection

Samling children from administrative

data sources

Separating data collection from adults

Developing an online self-complete questionnaire

Safeguarding children during

online data collection Creates opportunity for increasing the

achieved sample of children

Opportunity to expand survey to children aged 16 and 17

Opportunity to include children in

non-household populations

Auxiliary information used to oversample small populations

Survey responses lock down as survey

progresses

Targeted signposting to support service

Re-developed interviewer

administered questions for self-

completion

Cognitive testing with children

6 Official Sensitive (if required)

Next steps

• Evaluation of pilot – explore response rate and data quality to inform decision around future of push-to- web data collection for the children's CSEW

• Ongoing questionnaire development and cognitive testing with children and young people

7 Official Sensitive (if required)

2. Child abuse feasibility study

8 Official Sensitive (if required)

Child abuse feasibility study – survey design

Questionnaire 11-16 years school

16-25 years Online

• Community violence • Intimate partner violence • Physical, sexual and

emotional abuse • Witnessing domestic

abuse • Criminal exploitation • Risk & protective factors

• Phase 1 – qualitative research, stakeholder engagement and public consultation • Phase 2 – development of questionnaire, safeguarding approach and carrying out a pilot

• In classroom, self- completed on a tablet – security screens

• Year 7 & 8 - opt out permission

• Year 9 onwards – provide own consent

• Postal invitation letter • Untraceable link • Survey locks down as

questions answered • All participants

provide own consent

9 Official Sensitive (if required)

Developing a safeguarding approach • Mixed views on safeguarding approach and anonymity of survey • Agreed design: Survey will be anonymous

• Developed through consultation with experts, professionals, ethics boards, and focus groups and 1:1s with children and young people, both with and without known experience of childhood violence

No mandatory referrals

Safeguarding built in throughout the

survey

Children have autonomy over type of support received

10 [email protected]

Questions?

  • Improving data on Violence Against Children in the UK
  • Current data and gaps
  • Improving measure of VAC in the UK
  • 1. Push-to-web data collection for the Children’s CSEW
  • Measuring VAC through push-to-web data collection
  • Next steps
  • 2. Child abuse feasibility study
  • Child abuse feasibility study – survey design
  • Developing a safeguarding approach
  • Questions?

(UK) Virtual testing in UN R152

Languages and translations
English

Submitted by the expert from the United Kingdom of Great Britian and Northern Ireland.

Informal document GRVA-18-55 18th GRVA, 22-26 January 2024 Agenda item 7

Virtual testing in UN R 152

Introduction

The current GRVA-18 proposal for the use of Virtual Testing in R152 on AEBS does not appear to address all the necessary aspects associated with the specification, development, deployment and use of the simulation tools that constitutes a “Virtual Testing Capability”. GRVA’s VMAD Working Group has been developing a New Assessment Test Methodology (NATM) that includes a description of the requirements associated with a virtual testing capability when it is being used as part of an approval process. A summary of those requirements extracted from the work of the VMAD group is provided in this document.

The complete NATM framework has been developed in the context of an Automated driving System and is more complex than is required for the R152 however the set of requirements associated with the “credibility assessment” of the virtual testing capability are relevant.

It is also worth noting the generic approach to virtual testing contained in the EU Whole Vehicle Type Approval Regulation – 2018/858 and in particular the following diagram extracted ANNEX VIII Appendix 3.

This shows a clear two stage activity where the simulation toolchain and its components are first developed and assessed before being used. Appendix 1 of the same Annex also provides some “conditions” for the virtual testing method.

In general, it is impossible to formally prove the capability of modelling and simulation (M&S) tools, so an alternative is to adopt a structured approach that builds a body of evidence that creates the necessary level of confidence. This gives the manufacture reassurance and also allows a third party such as a Technical Service (TS) or Type Approval Authority (TAA) to decide whether the M&S tools are of sufficient maturity to be used for virtual testing.

The UNECE VMAD activity has provided that structure and developed clear guidelines on the requirements around the development and assessment of an M&S capability that is to be used for “virtual testing”. The approach is called a “Credibility Assessment Framework” (the figure below is from NATM Guidelines for Validating Automated Driving System (ADS) – WP.29/2022/58).

The credibility framework shown above covers the various aspects that the manufacturer must consider when producing a virtual testing capability. The manufacture should develop the processes and documentation that support this and then generate the compliance evidence. The evidence will consist of various documents that show that the processes have been followed and that the results including verification, validation and testing achieve the necessary criteria. This is a complex activity and the details will be agreed with the TS and TAA. The assessment will be an audit process conducted by the TS or TAA of all the information provided by the manufacturer.

The framework is a structured way to describe and report the M&S capability based on the manufacturer’s approach and meeting appropriate criteria. Adopting and following this framework generates confidence in the results because it shows that the manufacturer is following good practice. In other words, the credibility is established by evaluating the factors that are considered to be the main contributors to a successful M&S capability, including, M&S management, team's experience and expertise, description and analysis of the M&S components, data management, verification, validation and uncertainty characterization. Each of these factors contributes to the overall quality and if the assessor decides that the required level has been achieved then the M&S capability is considered credible and fit to use for virtual testing.

Summary of the NATM Credibility Framework Requirements

The following is a summary of the main requirements outlined in the NATM document WP.29-2022-58. It is worth noting that the complete description runs for several pages. The summary follows the outline proposed in the NATM document.

Note: It is possible / probable that some of the aspects may not be applicable to the specific application of AEBS but it is better to allow the manufacturer to claim and give the rationale for any “exemptions” or inapplicability as part of their information pack rather than simply to remove it from the requirement.

Models and Simulation Management

The M&S lifecycle should be monitored, managed and documented. Management activities should be established to support the M&S adopting a work product management approach including:

· M&S management process, including a description of modifications to the toolchain and its components, clear designation of the software, acceptance review processes, details of the lifecycle and lifetime support and description of management responsibilities and escalation processes;

· Release management, including version control of the toolchain and components used for any approval activities, validation strategy and acceptance criteria, data provenance and traceability, data quality checks covering completeness, accuracy, and consistency;

· Team's Experience and Expertise (E&E), including processes and evidence that the various teams developing, testing and validating and ultimately using the toolchain and its components have appropriate experience and training;

· Input Data Management, including traceability of the data used in developing the toolchain and its components and used in the validation activity, evidence that the data is fully representative of the intended scope and functionality of the application, evidence of data quality considerations when it is being used for model development and parameter estimation;

· Output Data Management, including records of the scenarios used and the outputs of the validation activity, output data traceability, approach and results from comparisons and correlations, consistency and sanity checks.

Description and analysis of the toolchain and components

The description and analysis should provide a description of the toolchain and its components, identify the applicable parameter space as well as the scope, limitations and the sources of uncertainty that can affect the results. This will include:

· General description, including a description of the complete toolchain and its components a clear description of the objectives and metrics;

· Assumptions, known limitations and uncertainty sources, including the rationale for the modelling assumptions and hence the limitations, the fidelity required for the toolchain and its components, the tolerance and criteria for the correlation of real and virtual results and information about the sources of uncertainty in the model;

· Scope, includes a clear description of the applicability of the toolchain and its components, the accuracy required to emulate the physical phenomena and the fidelity required to do so, the validation scenarios and the corresponding parameter description limitations, acceptance and testing requirements derived from ODD analysis;

· Criticality assessment, including the impact of the errors in the toolchain and its components on the safety of the system and any subsequent functional safety requirements.

Verification

Verification deals with the analysis of the correct implementation of the conceptual / mathematical models that create and build up the tools & toolchain. Verification contributes to the credibility by providing assurance that the toolchain and its components will exhibit realistic behaviour for all inputs including those that have not been explicitly assessed. There are several ways to perform verification including:

· Code Verification is concerned with activities that try to show that the numerical and logical implementation of the toolchain and its components is correct including, static/dynamic code verification, convergence analysis and comparison with exact solutions, a sufficiently exhaustive exploration of the input parameters domain to identify parameter combinations for which the M&S tools show unstable or unrealistic behaviour and sanity / consistency checking;

· Calculation verification deals with the estimation of numerical errors affecting the toolchain and components including, numerical error estimates (e.g. discretization error, rounding error, iterative procedures convergence) and analysis that the errors remain sufficiently bounded;

· Sensitivity analysis aims at quantifying how output values are affected by changes in input values and to identify the parameters having the greatest impact on the results. The analysis should include the identification of the most critical parameters influencing the results and a robust calibration procedure for those parameters.

Validation

Validation is the process of determining the degree to which the toolchain and its components are an accurate representation of the real world from the perspective of the intended use. The following should be part of the validation activity:

· Measures of Performance (metrics) are defined during the M&S analysis stage and include discrete value analysis, time evolution and analysis of state changes;

· Goodness of Fit measures are also used to compare the outputs of the toolchain and its components with physical tests The results are compared statistically to see if the measures have been achieved;

· Accuracy requirements are defined during the M&S analysis and should set the thresholds for the various comparisons. The validation results should show that these have been met.

· Validation methodology or strategy is the approach adopted by the manufacturer to show the toolchain and its components are fit for purpose. It includes the choice of scenarios to cover the maximum possible extent of the ODD and validation of subsystem and combinations of subsystems including environment, sensors, vehicle systems, user behaviour, etc.;

· Validation scope A toolchain consists of multiple tools, and each tool will use several models. The validation scope includes the appropriate assessment of the toolchain and its components;

· Internal validation of results should provide evidence of the validation activity and information related to the processes that were followed, physical tests that were performed and products that were used;

· Uncertainty characterisation is concerned with characterizing the expected variability of the virtual toolchain results. The analysis should characterise the uncertainty in the input data, in the model parameters and in the toolchain structure that is collected from the “Description and analysis of the toolchain and components” and the “Input Data Management”. The identified uncertainties should then be propagated through the toolchain and the overall uncertainty of the results quantified and appropriate safety margins established.

French Proposal

The current proposal (GRVA-18-23) does not cover all the requirements identified in the VMAD activity for the credibility framework that have been summarised from the NATM document in the section above. Also, some areas that have been covered have insufficient detail to allow a robust assessment by a Technical Service or Type Approval Authority. The document also does not follow the structure of the NATM document when discussing the various aspects that need to be addressed for the credibility framework.

The following identifies some of those areas that should be addressed in a revised proposal.

· Experience and Expertise (E&E) is touched upon briefly in section 1.1.3e on “Usability”. This makes no mention of the broader issues around E&E throughout the design, development etc. aspect of the M&S capability.

· Physical Testing appears only to be required for the final toolchain (Section 1.2). Physical Testing should be used and evidenced for all the components of the toolchain.

· There is some detail about the overall M&S Management process in section 1.5.7. but this is limited and does not provide a clear structure for the overall process of control and management responsibility.

· Sections 1.5.2 & 1.5.6. mention data input and data management but the NATM document has detailed sections covering both data input and output management.

· There are some references to validity domain in the document but no indication as to how this is derived, e.g., assumptions, limitations and tolerances.

· There is no mention of uncertainty in the document sources and characterisation.

· There is no mention of sensitivity analysis to quantify the effect of variations of input or model parameters.

· There is no mention of criticality assessment that might influence decisions about how stringent any assessment should be.

· There is no reference to a verification activity. Verification and validation are often combined, but it is a separate phase of the M&S development and assurance process and is not generally about comparison with physical tests.

· There is some mention of “accuracy” but limited description (see 1.4.3) or justification for the criteria that are needed for a successful validation, i.e. measures of performance and goodness of fit. These criteria are specific during the analysis of the M&S process to ensure that the final capability is fit for purpose.

· The current document recognises that there is an audit activity but does not provide clear requirements that can be audited. Many of the paragraphs appear to describe an activity and therefore only imply what the audit should assess.

· Section 1.2.1.1 discussed the number of physical tests and is agreement with the Technical Service or Type Approval Authority. This approach does not seem fully in line with the intention of the NATM. The testing that is used to prove the simulation capability should be part of the overall validation strategy. It should be proposed and justified by the manufacturer. As part of the audit this strategy will be reviewed, but it is unlikely that a set of tests can be uniquely identified it is likely to be iterative and based on the ongoing discussions.

Summary

The current proposal to incorporate virtual testing into R152 does not address all the above aspects of a credible virtual testing capability and does not provide sufficient detail for those that are mentioned. The process of specifying, developing, deploying and managing a virtual testing capability is complex and it is important that all the relevant aspects are addressed in any proposal to ensure that a proper and complete assessment is made during the approval process.

Submitted by the expert from the United Kingdom of Great Britian and Northern Ireland.

Informal document GRVA-18-55 18th GRVA, 22-26 January 2024

Agenda item 7

Virtual testing in UN R 152

Introduction The current GRVA-18 proposal for the use of Virtual Testing in R152 on AEBS does not appear to address all the necessary aspects associated with the specification, development, deployment and use of the simulation tools that constitutes a “Virtual Testing Capability”. GRVA’s VMAD Working Group has been developing a New Assessment Test Methodology (NATM) that includes a description of the requirements associated with a virtual testing capability when it is being used as part of an approval process. A summary of those requirements extracted from the work of the VMAD group is provided in this document. The complete NATM framework has been developed in the context of an Automated driving System and is more complex than is required for the R152 however the set of requirements associated with the “credibility assessment” of the virtual testing capability are relevant. It is also worth noting the generic approach to virtual testing contained in the EU Whole Vehicle Type Approval Regulation – 2018/858 and in particular the following diagram extracted ANNEX VIII Appendix 3.

This shows a clear two stage activity where the simulation toolchain and its components are first developed and assessed before being used. Appendix 1 of the same Annex also provides some “conditions” for the virtual testing method.

In general, it is impossible to formally prove the capability of modelling and simulation (M&S) tools, so an alternative is to adopt a structured approach that builds a body of evidence that creates the necessary level of confidence. This gives the manufacture reassurance and also allows a third party such as a Technical Service (TS) or Type Approval Authority (TAA) to decide whether the M&S tools are of sufficient maturity to be used for virtual testing. The UNECE VMAD activity has provided that structure and developed clear guidelines on the requirements around the development and assessment of an M&S capability that is to be used for “virtual testing”. The approach is called a “Credibility Assessment Framework” (the figure below is from NATM Guidelines for Validating Automated Driving System (ADS) – WP.29/2022/58).

The credibility framework shown above covers the various aspects that the manufacturer must consider when producing a virtual testing capability. The manufacture should develop the processes and documentation that support this and then generate the compliance evidence. The evidence will consist of various documents that show that the processes have been followed and that the results including verification, validation and testing achieve the necessary criteria. This is a complex activity and the details will be agreed with the TS and TAA. The assessment will be an audit process conducted by the TS or TAA of all the information provided by the manufacturer. The framework is a structured way to describe and report the M&S capability based on the manufacturer’s approach and meeting appropriate criteria. Adopting and following this framework generates confidence in the results because it shows that the manufacturer is following good practice. In other words, the credibility is established by evaluating the factors that are considered to be the main contributors to a successful M&S capability, including, M&S management, team's experience and expertise, description and analysis of the M&S components, data management, verification, validation and uncertainty characterization. Each of these factors contributes to the overall quality and if the assessor decides that the required level has been achieved then the M&S capability is considered credible and fit to use for virtual testing.

Summary of the NATM Credibility Framework Requirements The following is a summary of the main requirements outlined in the NATM document WP.29-2022- 58. It is worth noting that the complete description runs for several pages. The summary follows the outline proposed in the NATM document. Note: It is possible / probable that some of the aspects may not be applicable to the specific application of AEBS but it is better to allow the manufacturer to claim and give the rationale for any “exemptions” or inapplicability as part of their information pack rather than simply to remove it from the requirement. Models and Simulation Management The M&S lifecycle should be monitored, managed and documented. Management activities should be established to support the M&S adopting a work product management approach including:

• M&S management process, including a description of modifications to the toolchain and its components, clear designation of the software, acceptance review processes, details of the lifecycle and lifetime support and description of management responsibilities and escalation processes;

• Release management, including version control of the toolchain and components used for any approval activities, validation strategy and acceptance criteria, data provenance and traceability, data quality checks covering completeness, accuracy, and consistency;

• Team's Experience and Expertise (E&E), including processes and evidence that the various teams developing, testing and validating and ultimately using the toolchain and its components have appropriate experience and training;

• Input Data Management, including traceability of the data used in developing the toolchain and its components and used in the validation activity, evidence that the data is fully representative of the intended scope and functionality of the application, evidence of data quality considerations when it is being used for model development and parameter estimation;

• Output Data Management, including records of the scenarios used and the outputs of the validation activity, output data traceability, approach and results from comparisons and correlations, consistency and sanity checks.

Description and analysis of the toolchain and components The description and analysis should provide a description of the toolchain and its components, identify the applicable parameter space as well as the scope, limitations and the sources of uncertainty that can affect the results. This will include:

• General description, including a description of the complete toolchain and its components a clear description of the objectives and metrics;

• Assumptions, known limitations and uncertainty sources, including the rationale for the modelling assumptions and hence the limitations, the fidelity required for the toolchain and its components, the tolerance and criteria for the correlation of real and virtual results and information about the sources of uncertainty in the model;

• Scope, includes a clear description of the applicability of the toolchain and its components, the accuracy required to emulate the physical phenomena and the fidelity required to do so, the validation scenarios and the corresponding parameter description limitations, acceptance and testing requirements derived from ODD analysis;

• Criticality assessment, including the impact of the errors in the toolchain and its components on the safety of the system and any subsequent functional safety requirements.

Verification Verification deals with the analysis of the correct implementation of the conceptual / mathematical models that create and build up the tools & toolchain. Verification contributes to the credibility by providing assurance that the toolchain and its components will exhibit realistic behaviour for all inputs including those that have not been explicitly assessed. There are several ways to perform verification including:

• Code Verification is concerned with activities that try to show that the numerical and logical implementation of the toolchain and its components is correct including, static/dynamic code verification, convergence analysis and comparison with exact solutions, a sufficiently exhaustive exploration of the input parameters domain to identify parameter combinations for which the M&S tools show unstable or unrealistic behaviour and sanity / consistency checking;

• Calculation verification deals with the estimation of numerical errors affecting the toolchain and components including, numerical error estimates (e.g. discretization error, rounding error, iterative procedures convergence) and analysis that the errors remain sufficiently bounded;

• Sensitivity analysis aims at quantifying how output values are affected by changes in input values and to identify the parameters having the greatest impact on the results. The analysis should include the identification of the most critical parameters influencing the results and a robust calibration procedure for those parameters.

Validation Validation is the process of determining the degree to which the toolchain and its components are an accurate representation of the real world from the perspective of the intended use. The following should be part of the validation activity:

• Measures of Performance (metrics) are defined during the M&S analysis stage and include discrete value analysis, time evolution and analysis of state changes;

• Goodness of Fit measures are also used to compare the outputs of the toolchain and its components with physical tests The results are compared statistically to see if the measures have been achieved;

• Accuracy requirements are defined during the M&S analysis and should set the thresholds for the various comparisons. The validation results should show that these have been met.

• Validation methodology or strategy is the approach adopted by the manufacturer to show the toolchain and its components are fit for purpose. It includes the choice of scenarios to cover the maximum possible extent of the ODD and validation of subsystem and combinations of subsystems including environment, sensors, vehicle systems, user behaviour, etc.;

• Validation scope A toolchain consists of multiple tools, and each tool will use several models. The validation scope includes the appropriate assessment of the toolchain and its components;

• Internal validation of results should provide evidence of the validation activity and information related to the processes that were followed, physical tests that were performed and products that were used;

• Uncertainty characterisation is concerned with characterizing the expected variability of the virtual toolchain results. The analysis should characterise the uncertainty in the input data, in the model parameters and in the toolchain structure that is collected from the “Description and analysis of the toolchain and components” and the “Input Data Management”. The identified uncertainties should then be propagated through the toolchain and the overall uncertainty of the results quantified and appropriate safety margins established.

French Proposal The current proposal (GRVA-18-23) does not cover all the requirements identified in the VMAD activity for the credibility framework that have been summarised from the NATM document in the section above. Also, some areas that have been covered have insufficient detail to allow a robust assessment by a Technical Service or Type Approval Authority. The document also does not follow the structure of the NATM document when discussing the various aspects that need to be addressed for the credibility framework. The following identifies some of those areas that should be addressed in a revised proposal.

• Experience and Expertise (E&E) is touched upon briefly in section 1.1.3e on “Usability”. This makes no mention of the broader issues around E&E throughout the design, development etc. aspect of the M&S capability.

• Physical Testing appears only to be required for the final toolchain (Section 1.2). Physical Testing should be used and evidenced for all the components of the toolchain.

• There is some detail about the overall M&S Management process in section 1.5.7. but this is limited and does not provide a clear structure for the overall process of control and management responsibility.

• Sections 1.5.2 & 1.5.6. mention data input and data management but the NATM document has detailed sections covering both data input and output management.

• There are some references to validity domain in the document but no indication as to how this is derived, e.g., assumptions, limitations and tolerances.

• There is no mention of uncertainty in the document sources and characterisation. • There is no mention of sensitivity analysis to quantify the effect of variations of input or

model parameters. • There is no mention of criticality assessment that might influence decisions about how

stringent any assessment should be. • There is no reference to a verification activity. Verification and validation are often

combined, but it is a separate phase of the M&S development and assurance process and is not generally about comparison with physical tests.

• There is some mention of “accuracy” but limited description (see 1.4.3) or justification for the criteria that are needed for a successful validation, i.e. measures of performance and goodness of fit. These criteria are specific during the analysis of the M&S process to ensure that the final capability is fit for purpose.

• The current document recognises that there is an audit activity but does not provide clear requirements that can be audited. Many of the paragraphs appear to describe an activity and therefore only imply what the audit should assess.

• Section 1.2.1.1 discussed the number of physical tests and is agreement with the Technical Service or Type Approval Authority. This approach does not seem fully in line with the intention of the NATM. The testing that is used to prove the simulation capability should be part of the overall validation strategy. It should be proposed and justified by the manufacturer. As part of the audit this strategy will be reviewed, but it is unlikely that a set

of tests can be uniquely identified it is likely to be iterative and based on the ongoing discussions.

Summary The current proposal to incorporate virtual testing into R152 does not address all the above aspects of a credible virtual testing capability and does not provide sufficient detail for those that are mentioned. The process of specifying, developing, deploying and managing a virtual testing capability is complex and it is important that all the relevant aspects are addressed in any proposal to ensure that a proper and complete assessment is made during the approval process.

  • Virtual testing in UN R 152
  • Introduction
  • Summary of the NATM Credibility Framework Requirements
    • Models and Simulation Management
    • Description and analysis of the toolchain and components
    • Verification
    • Validation
  • French Proposal
  • Summary

(UK) UNECE scenario catalogue

Languages and translations
English

UNECE Scenario Catalogue

18th Session of GRVA

Submitted by the expert from the United Kingdom of Great Britain and Northern Ireland

Informal document GRVA-18-49

18th GRVA, 22-26 September 2024

Agenda item 4(g)

Is there a need for a UN scenario catalogue?

It is recognised that scenarios will play an essential part in the evaluation of the performance of an Automated Driving System (ADS).

There is already an expectation of a catalogue by VMAD.

There are many scenario databases in existence (or being developed) that are designed with particular intentions.

Should there be an independent one principally designed for authorities to support their approval and certification processes?

What benefits can a UN scenario catalogue bring?

Having an extensive collection of scenarios that is produced collaboratively would avoid the risk of ‘designing to the test’ and ensure coverage.

It gives authorities a ready-made resource of scenarios to consider and to utilise in the evaluation of an ADS (and potentially ADAS).

Authorities would have the capability to highlight specific scenarios to other authorities (e.g. scenarios that cover a particular country’s traffic rules).

New scenarios identified from in-service monitoring and reporting can be more easily shared.

Suggested way forward

UK proposes a workshop to agree next steps on how we would:

Examine the need and scope of a UNECE scenario catalogue

Establish the capabilities and requirements of any necessary catalogue

Investigate whether an existing scenario database could fulfil this purpose

Maintain, operate and utilise it with regards to WP.29 activities

UNECE Scenario Catalogue 18th Session of GRVA Submitted by the expert from the United Kingdom

of Great Britain and Northern Ireland

Informal document GRVA-18-49 18th GRVA, 22-26 September 2024 Agenda item 4(g)

Is there a need for a UN scenario catalogue? • It is recognised that scenarios will play an essential part in the evaluation of

the performance of an Automated Driving System (ADS). • There is already an expectation of a catalogue by VMAD. • There are many scenario databases in existence (or being developed) that

are designed with particular intentions.

• Should there be an independent one principally designed for authorities to support their approval and certification processes?

What benefits can a UN scenario catalogue bring? • Having an extensive collection of scenarios that is produced collaboratively

would avoid the risk of ‘designing to the test’ and ensure coverage. • It gives authorities a ready-made resource of scenarios to consider and to

utilise in the evaluation of an ADS (and potentially ADAS). • Authorities would have the capability to highlight specific scenarios to other

authorities (e.g. scenarios that cover a particular country’s traffic rules). • New scenarios identified from in-service monitoring and reporting can be

more easily shared.

Suggested way forward

UK proposes a workshop to agree next steps on how we would: • Examine the need and scope of a UNECE scenario catalogue • Establish the capabilities and requirements of any necessary catalogue • Investigate whether an existing scenario database could fulfil this purpose • Maintain, operate and utilise it with regards to WP.29 activities

  • UNECE Scenario Catalogue
  • Is there a need for a UN scenario catalogue?
  • What benefits can a UN scenario catalogue bring?
  • Suggested way forward

(UK) Proposal for amendments to the Consolidated Resolution R.E.3

Languages and translations
English

Submitted by the expert from the United Kingdom of Great Britian and Northern Ireland.

Informal document GRVA-18-27 18th GRVA, 22-26 January 2024 Provisional agenda item 5(a)

Proposal for amendments to Annex 7 of Consolidation Resolution of the Construction of Vehicles (R.E.3)

The text reproduced below is based on the document ECE/TRANS/WP.29/78/Rev.7. The modifications to that text are indicated in blue bold for new characters and blue strikethrough for deleted characters.

I. Proposal

Annex 7., amend to read:

"

Annex 7

Provisions on Software Identification Numbers

I1. Introduction

UN Regulation No. 156 [15…] on uniform provisions concerning the approval of vehicles with regards to software update and software updates management system is defining "RX Software Identification Number (RXSWIN)" that means a dedicated identifier, defined by the vehicle manufacturer, representing information about the type approval relevant software of the Electronic Control System contributing to the UN Regulation No. X type approval relevant characteristics of the vehicle.

In order to make use of RXSWIN, relevant UN Regulations can shall refer, by incorporation, to this annex to introduce relevant definitions and provisions. as follow:

II2. Definitions

For the purpose of this Consolidated Resolution and the UN Regulations referring to this annex:

2.1. "Rx [X] Software Identification Number (R[X]SWIN)" means a dedicated identifier, defined by the vehicle manufacturer, representing information about the type approval relevant software of the Electronic Control System contributing to the UN Regulation No. [X] type approval relevant characteristics of the vehicle. Where [X] is the number of the UN Regulation that is referring to the provisions of this Annex.

2.2. "Electronic Control System" means a combination of units, designed to co-operate in the production of the stated vehicle control function by electronic data processing. Such systems, often controlled by software, are built from discrete functional components such as sensors, electronic control units and actuators and connected by transmission links. They may include mechanical, electro-pneumatic or electro-hydraulic elements. "The System", referred to herein, is the one for which type approval is being sought.

2.3. "Software" means the part of an Electronic Control System that consists of digital data and instructions.

2.4. "Software Update Management System" means a systematic approach defining organizational processes and procedures to comply with the requirements for delivery of software updates.

III3. Requirements for software identification number

For the purpose of this Consolidated Resolution and the UN Regulations referring to this annex:

3.1. For the purpose of ensuring the software of the System can be identified, an RXSWIN may be implemented by the vehicle manufacturer.

3.2. If the manufacturer implements an RXSWIN, the following shall apply:

3.2.1. The vehicle manufacturer shall have a valid approval according to UN Regulation No. XXX [Software Update Process Regulation].

Note - as an alternative to the above paragraph:

3.1. The vehicle manufacturer shall have a Software Update Management System (SUMS) which, together with the vehicle type, shall comply with the technical requirements of the original series or later of UN Regulation No. 156.

3.1.1. For the purpose of ensuring that the software relevant to the system can be identified, an R[X]SWIN shall be used. The R[X]SWIN may be held on the vehicle or, if the R[X]SWIN is not held on the vehicle, the manufacturer shall declare the software version(s) of the vehicle or single ECUs with the connection to the relevant type approvals to the Approval Authority.

3.2.2. The vehicle manufacturer shall provide the following information to the Approval Authority in the communication form of this Regulation (the Regulation referring to this annex):

(a) The R[X]SWIN and, in the case where the R[X]SWIN is not held on the vehicle, the related software version(s);

(b) How to read the R[X]SWIN or software version(s) in the case where the R[X]SWIN is not held on the vehicle. ;

(c) Details on how to access the information from the auditable register for all software versions relevant to the R[X]SWIN.

3.2.3. The vehicle manufacturer may Approval Authority shall provide, in the communication form of the related UN Regulation that is referring to this Annex, a list of the relevant parameters that will allow the identification of those vehicles that can be updated with the software represented by the R[X]SWIN. The information provided shall be declared by the vehicle manufacturer and may not be verified by an Approval Authority.

3.2.4. The vehicle manufacturer may obtain a new vehicle approval for the purpose of differentiating software versions intended to be used on vehicles already registered in the market from the software versions that are used on new vehicles. This may cover the situations where type approval regulations are updated or hardware changes are made to vehicles in series production. In agreement with the testing agency duplication of tests shall be avoided where possible.

IV. Production definitely discontinued and RxSWIN

4.1. If the holder of the approval completely ceases to manufacture a type of vehicle approved in accordance with this Regulation (the related Regulation referring to this annex), he shall so inform the authority which granted the approval. Upon receiving the relevant communication that authority shall inform thereof the other Contracting Parties to the 1958 Agreement applying this Regulation (the related Regulation referring to this annex) by means of a communication form conforming to the model in Annex [Communication form] to this the related Regulation.

4.2. The production is not considered definitely discontinued if the vehicle manufacturer intends to obtain further approvals for software updates for vehicles already registered in the market.

V. Necessary insertion in the Communication Form relevant to RxSWIN

Note : The communication form of the related Regulation referring to this annex shall include the mention Production definitively discontinued for such a case and shall include additional information regarding RXSWIN as follow (and marked in bold):

4. Amendments to the relevant UN Regulations

Note: The following paragraphs shall be integrated into or amended in the related Regulation referring to this annex.

In the paragraph titled “Definitions” the following sub-paragraph is inserted to read:

“x.x. For the definitions with regard to Software Identification Number, refer to the Consolidated Resolution on the Construction of Vehicles (R.E.3), Annex 7, paragraph 2.”

In the paragraph titled "Requirements” the following sub-paragraph is inserted to read:

“x.x. With regard to Software Identification Numbers, the requirements of the Consolidated Resolution on the Construction of Vehicles (R.E.3), Annex 7., paragraph 3., shall apply.”

In the paragraph titled "Product definitely discontinued” the following sub-paragraph is inserted to read:

“x.x. The production is not considered definitely discontinued if the vehicle manufacturer intends to obtain further approvals for software updates for vehicles already registered in the market.”

The Annex titled “Communication” is amended to read:

“

Communication

…

Additional information regarding R[number of this Regulation]SWIN:

R[number of this Regulation]SWIN:

Is the R[number of this Regulation]SWIN held on the vehicle: Yes/No

Information on how to read the R[number of this Regulation]SWIN, or the relevant software version(s) in the case where the R[number of this Regulation]SWIN is not held on the vehicle:

Description on how to access the information from the auditable register of all software versions relevant to the R[number of this Regulation]SWIN:

If applicable, list the relevant parameters that will allow the identification of those vehicles that can be updated with the software represented by the R[number of this Regulation]SWIN under the item above:

"

Communication form

Communication

(Maximum format: A4 (210 x 297 mm))

( issued by : Name of administration: ...................................... ...................................... ...................................... )

( 1 )[footnoteRef:2] [2: Distinguishing number of the country which has granted/extended/refused/withdrawn approval (see approval provisions in the Regulation).]

Concerning:[footnoteRef:3] Approval granted [3: Strike out what does not apply.]

Approval extended

Approval withdrawn with effect from dd/mm/yyyy

Approval refused

Production definitively discontinued

of a vehicle type, pursuant to UN Regulation No. [this Regulation]

Approval No.:

Extension No.:

Reason for extension:

(…)

(…)

Additional information regarding RXSWIN:

Information on how to read the RXSWIN or software version(s) in case the RXSWIN is not held on the vehicle:

If applicable, list the relevant parameters that will allow the identification of those vehicles that can be updated with the software represented by the RXSWIN under the item above:

"

II. Justification

The reason to implement the reference to RE.7 into the system regulations is to allow for the relevant software(s) for that approval to be identified in service. Currently the use of RXSWIN is at the discretion of the manufacturer because R.156 does not mandate its use and since there are no requirements on the vehicle type in R.156 if an RXSWIN is not used there would be no means to identify the relevant software.

The current wording of RE.3 maintains that optionality which limits the capability of authorities to identify software should an RXSWIN not be used. This was a flaw that was identified in R.157 that originally used the text from RE.3 but was subsequently changed to require an RXSWIN. Changing the wording in RE.3 to require an RXSWIN does not mandate it in all circumstances, it would be only for those system regulations that refer to it. This is the activity that WP.29 has requested the GRs to undertake; to identify which UN Regulations are where there needs to be the capability to identify the relevant software(s). Manufacturers can currently use RXSWIN in an optional, harmonised way without reference to RE.3 as all the provisions relating to it are contained in R.156. Therefore, there is no benefit in update and referencing the text in RE.3 unless it is to mandate its use.

It should be noted that RXSWIN is simply a unique identifier and does not need to be in the format: R79A̱ḆC̱ḎE̱, as an example. Consequently, the software identification number of the ECU or component could be used as the RXSWIN. However, it is appreciated that it is not likely since system approvals will tend to use many ECUs and software. Nevertheless, this is dealt with through utilising the fact that the RXSWIN can be recorded off-board the vehicle. In this instance the unique identifier of the RXSWIN acts as a reference to all the relevant software version(s) on the vehicle but that the manufacturer has to provide in the auditable register the list of the software version(s) under that RXSWIN. If the manufacturer is employing a certifiable SUMS then this process should already be in place as they will need to be able to identify the software relevant to a particular approval on any vehicle approved to R.156.

This proposal here is utilising the amendments made in supplement 2 to UN Regulation No.157 where it was clarified that an RXSWIN should always be used. Amendments are also made to the communication file so that relevant information about the RXSWIN is clearly available.

2

2

3

Submitted by the expert from the United Kingdom of Great Britian and Northern Ireland.

Informal document GRVA-18-27 18th GRVA, 22-26 January 2024

Provisional agenda item 5(a)

1

Proposal for amendments to Annex 7 of Consolidation Resolution of the Construction of Vehicles (R.E.3)

The text reproduced below is based on the document ECE/TRANS/WP.29/78/Rev.7. The modifications to that text are indicated in blue bold for new characters and blue strikethrough for deleted characters.

I. Proposal

Annex 7., amend to read:

"

Annex 7

Provisions on Software Identification Numbers

I1. Introduction

UN Regulation No. 156 [15…] on uniform provisions concerning the approval of vehicles with regards to software update and software updates management system is defining "RX Software Identification Number (RXSWIN)" that means a dedicated identifier, defined by the vehicle manufacturer, representing information about the type approval relevant software of the Electronic Control System contributing to the UN Regulation No. X type approval relevant characteristics of the vehicle.

In order to make use of RXSWIN, relevant UN Regulations can shall refer, by incorporation, to this annex to introduce relevant definitions and provisions. as follow:

II2. Definitions

For the purpose of this Consolidated Resolution and the UN Regulations referring to this annex:

2.1. "Rx[X] Software Identification Number (R[X]SWIN)" means a dedicated identifier, defined by the vehicle manufacturer, representing information about the type approval relevant software of the Electronic Control System contributing to the UN Regulation No. [X] type approval relevant characteristics of the vehicle. Where [X] is the number of the UN Regulation that is referring to the provisions of this Annex.

2.2. "Electronic Control System" means a combination of units, designed to co- operate in the production of the stated vehicle control function by electronic

2

data processing. Such systems, often controlled by software, are built from discrete functional components such as sensors, electronic control units and actuators and connected by transmission links. They may include mechanical, electro-pneumatic or electro-hydraulic elements. "The System", referred to herein, is the one for which type approval is being sought.

2.3. "Software" means the part of an Electronic Control System that consists of digital data and instructions.

2.4. "Software Update Management System" means a systematic approach defining organizational processes and procedures to comply with the requirements for delivery of software updates.

III3. Requirements for software identification number

For the purpose of this Consolidated Resolution and the UN Regulations referring to this annex:

3.1. For the purpose of ensuring the software of the System can be identified, an RXSWIN may be implemented by the vehicle manufacturer.

3.2. If the manufacturer implements an RXSWIN, the following shall apply:

3.2.1. The vehicle manufacturer shall have a valid approval according to UN Regulation No. XXX [Software Update Process Regulation].

Note - as an alternative to the above paragraph:

3.1. The vehicle manufacturer shall have a Software Update Management System (SUMS) which, together with the vehicle type, shall comply with the technical requirements of the original series or later of UN Regulation No. 156.

3.1.1. For the purpose of ensuring that the software relevant to the system can be identified, an R[X]SWIN shall be used. The R[X]SWIN may be held on the vehicle or, if the R[X]SWIN is not held on the vehicle, the manufacturer shall declare the software version(s) of the vehicle or single ECUs with the connection to the relevant type approvals to the Approval Authority.

3.2.2. The vehicle manufacturer shall provide the following information to the Approval Authority in the communication form of this Regulation (the Regulation referring to this annex):

(a) The R[X]SWIN and, in the case where the R[X]SWIN is not held on the vehicle, the related software version(s);

(b) How to read the R[X]SWIN or software version(s) in the case where the R[X]SWIN is not held on the vehicle.;

(c) Details on how to access the information from the auditable register for all software versions relevant to the R[X]SWIN.

3.2.3. The vehicle manufacturer may Approval Authority shall provide, in the communication form of the related UN Regulation that is referring to this Annex, a list of the relevant parameters that will allow the identification of those vehicles that can be updated with the software represented by the

3

R[X]SWIN. The information provided shall be declared by the vehicle manufacturer and may not be verified by an Approval Authority.

3.2.4. The vehicle manufacturer may obtain a new vehicle approval for the purpose of differentiating software versions intended to be used on vehicles already registered in the market from the software versions that are used on new vehicles. This may cover the situations where type approval regulations are updated or hardware changes are made to vehicles in series production. In agreement with the testing agency duplication of tests shall be avoided where possible.

IV. Production definitely discontinued and RxSWIN

4.1. If the holder of the approval completely ceases to manufacture a type of vehicle approved in accordance with this Regulation (the related Regulation referring to this annex), he shall so inform the authority which granted the approval. Upon receiving the relevant communication that authority shall inform thereof the other Contracting Parties to the 1958 Agreement applying this Regulation (the related Regulation referring to this annex) by means of a communication form conforming to the model in Annex [Communication form] to this the related Regulation.

4.2. The production is not considered definitely discontinued if the vehicle manufacturer intends to obtain further approvals for software updates for vehicles already registered in the market.

V. Necessary insertion in the Communication Form relevant to RxSWIN

Note: The communication form of the related Regulation referring to this annex shall include the mention Production definitively discontinued for such a case and shall include additional information regarding RXSWIN as follow (and marked in bold):

4. Amendments to the relevant UN Regulations

Note: The following paragraphs shall be integrated into or amended in the related Regulation referring to this annex.

In the paragraph titled “Definitions” the following sub-paragraph is inserted to read:

“x.x. For the definitions with regard to Software Identification Number, refer to the Consolidated Resolution on the Construction of Vehicles (R.E.3), Annex 7, paragraph 2.”

In the paragraph titled "Requirements” the following sub-paragraph is inserted to read:

4

“x.x. With regard to Software Identification Numbers, the requirements of the Consolidated Resolution on the Construction of Vehicles (R.E.3), Annex 7., paragraph 3., shall apply.”

In the paragraph titled "Product definitely discontinued” the following sub-paragraph is inserted to read:

“x.x. The production is not considered definitely discontinued if the vehicle manufacturer intends to obtain further approvals for software updates for vehicles already registered in the market.”

The Annex titled “Communication” is amended to read:

“

Communication

…

Additional information regarding R[number of this Regulation]SWIN:

R[number of this Regulation]SWIN: ..................................................................................

Is the R[number of this Regulation]SWIN held on the vehicle: Yes/No

Information on how to read the R[number of this Regulation]SWIN, or the relevant software version(s) in the case where the R[number of this Regulation]SWIN is not held on the vehicle: ...............................................................................................................

Description on how to access the information from the auditable register of all software versions relevant to the R[number of this Regulation]SWIN: ..........................

If applicable, list the relevant parameters that will allow the identification of those vehicles that can be updated with the software represented by the R[number of this Regulation]SWIN under the item above: ...........................................................................

"

5

Communication form

Communication

(Maximum format: A4 (210 x 297 mm))

1

Concerning:2 Approval granted Approval extended Approval withdrawn with effect from dd/mm/yyyy Approval refused Production definitively discontinued

of a vehicle type, pursuant to UN Regulation No. [this Regulation]

Approval No.: ..........................................................................................................................

Extension No.: .........................................................................................................................

Reason for extension: ..............................................................................................................

(…)

(…)

Additional information regarding RXSWIN:

Information on how to read the RXSWIN or software version(s) in case the RXSWIN is not held on the vehicle: ................................................................................................................

If applicable, list the relevant parameters that will allow the identification of those vehicles that can be updated with the software represented by the RXSWIN under the item above: ..

"

1 Distinguishing number of the country which has granted/extended/refused/withdrawn approval (see approval provisions in the Regulation).

2 Strike out what does not apply.

issued by: Name of administration: ...................................... ...................................... ......................................

1

6

II. Justification

The reason to implement the reference to RE.7 into the system regulations is to allow for the relevant software(s) for that approval to be identified in service. Currently the use of RXSWIN is at the discretion of the manufacturer because R.156 does not mandate its use and since there are no requirements on the vehicle type in R.156 if an RXSWIN is not used there would be no means to identify the relevant software.

The current wording of RE.3 maintains that optionality which limits the capability of authorities to identify software should an RXSWIN not be used. This was a flaw that was identified in R.157 that originally used the text from RE.3 but was subsequently changed to require an RXSWIN. Changing the wording in RE.3 to require an RXSWIN does not mandate it in all circumstances, it would be only for those system regulations that refer to it. This is the activity that WP.29 has requested the GRs to undertake; to identify which UN Regulations are where there needs to be the capability to identify the relevant software(s). Manufacturers can currently use RXSWIN in an optional, harmonised way without reference to RE.3 as all the provisions relating to it are contained in R.156. Therefore, there is no benefit in update and referencing the text in RE.3 unless it is to mandate its use.

It should be noted that RXSWIN is simply a unique identifier and does not need to be in the format: R79A̱ḆC̱ḎE̱, as an example. Consequently, the software identification number of the ECU or component could be used as the RXSWIN. However, it is appreciated that it is not likely since system approvals will tend to use many ECUs and software. Nevertheless, this is dealt with through utilising the fact that the RXSWIN can be recorded off-board the vehicle. In this instance the unique identifier of the RXSWIN acts as a reference to all the relevant software version(s) on the vehicle but that the manufacturer has to provide in the auditable register the list of the software version(s) under that RXSWIN. If the manufacturer is employing a certifiable SUMS then this process should already be in place as they will need to be able to identify the software relevant to a particular approval on any vehicle approved to R.156.

This proposal here is utilising the amendments made in supplement 2 to UN Regulation No.157 where it was clarified that an RXSWIN should always be used. Amendments are also made to the communication file so that relevant information about the RXSWIN is clearly available.

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

JQ2022GBR

JFSQ Country Replies United Kingdom

Languages and translations
English

Cover

Joint Forest Sector Questionnaire
2022
DATA INPUT FILE
Correspondent country: UK
Reference year: 2022 Fill in the year
Name of person responsible for reply:
Official address (in full): Northern Research Station, Roslin, Midlothian, EH25 9SY
Telephone:
Fax:
E-mail:

Manual

The UNECE manual for the JFSQ for 2022 data is available on the UNECE website:
https://unece.org/forestry-timber/documents/2023/04/informal-documents/jfsq-2022-data-manual
The definitions for the JFSQ for 2022 data are available on the UNECE website:
https://unece.org/forestry-timber/documents/2023/04/informal-documents/jfsq-2022-data-definitions
https://unece.org/forestry-timber/documents/2023/04/informal-documents/jfsq-2022-data-definitions https://unece.org/forestry-timber/documents/2023/04/informal-documents/jfsq-2022-data-manual

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

JQ1 Production

Country: United Kingdom Date: 23-04-11
Name of Official responsible for reply:
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ1 Northern Research Station
Roslin, Midlothian, EH25 9SY Industrial Roundwood Balance
PRIMARY PRODUCTS Telephone: This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! Discrepancies
Removals and Production E-mail: test for good numbers, missing number, bad number, negative number
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
McCusker 14/6/07: McCusker 14/6/07: minus 1.2.3 (other ind. RW) production		 8,723 7,807 -11% 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 missing data missing data missing data Solid wood equivalent
1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 10899.28 9787.66 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 0 0 Solid Wood Demand agglomerate production 304 327 7% 2.4
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 2183.70 2183.70 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 0 0 Sawnwood production 3,611 3,145 -13% 1
1.1.C Coniferous 1000 m3ub 1571.20 1571.20 1.1.C Coniferous 1000 m3ub veneer production 0 0 missing data 1
1.1.NC Non-Coniferous 1000 m3ub 612.50 612.50 1.1.NC Non-Coniferous 1000 m3ub plywood production 0 0 missing data 1
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 8715.58 7603.96 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0 particle board production (incl OSB) 2,688 2,610 -3% 1.58
1.2.C Coniferous 1000 m3ub 8607.81 7486.34 1.2.C Coniferous 1000 m3ub 0 0 fibreboard production 798 856 7% 1.8
1.2.NC Non-Coniferous 1000 m3ub 107.77 117.62 1.2.NC Non-Coniferous 1000 m3ub 0 0 mechanical/semi-chemical pulp production missing data missing data missing data 2.5
1.2.NC.T of which: Tropical 1000 m3ub 0.00 0.00 1.2.NC.T of which: Tropical 1000 m3ub chemical pulp production 0 0 missing data 4.9
1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 6354.27 5509.03 1.2.1 SAWLOGS AND VENEER LOGS 1000 m3ub 0 0 dissolving pulp production 0 0 missing data 5.7
1.2.1.C Coniferous 1000 m3ub 6297.78 5452.60 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 56.49 56.43 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 1898.39 1646.45 1.2.2 PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD) 1000 m3ub 0 0 gap (demand/availability) missing data missing data Negative number means not enough roundwood available
1.2.2.C Coniferous 1000 m3ub 1895.24 1633.39 1.2.2.C Coniferous 1000 m3ub Positive number means more roundwood available than demanded
1.2.2.NC Non-Coniferous 1000 m3ub 3.15 13.06 1.2.2.NC Non-Coniferous 1000 m3ub
1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 462.91 448.48 1.2.3 OTHER INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0
1.2.3.C Coniferous 1000 m3ub 414.78 400.36 1.2.3.C Coniferous 1000 m3ub % of particle board that is from recovered wood 35%
1.2.3.NC Non-Coniferous 1000 m3ub 48.13 48.13 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 5.00 5.00 2 WOOD CHARCOAL 1000 t
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 3121.78 2646.24 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 0 0
3.1 WOOD CHIPS AND PARTICLES 1000 m3 2341.33 1984.68 3.1 WOOD CHIPS AND PARTICLES 1000 m3
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 780.44 661.56 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
4 RECOVERED POST-CONSUMER WOOD 1000 t 4500.00 4500.00 4 RECOVERED POST-CONSUMER WOOD 1000 t
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 304.41 326.56 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 0 0
5.1 WOOD PELLETS 1000 t 304.41 326.56 5.1 WOOD PELLETS 1000 t
5.2 OTHER AGGLOMERATES 1000 t 0.00 0.00 5.2 OTHER AGGLOMERATES 1000 t
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 3610.84 3144.97 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 0 0
6.C Coniferous 1000 m3 3573.54 3108.36 6.C Coniferous 1000 m3
6.NC Non-Coniferous 1000 m3 37.30 36.60 6.NC Non-Coniferous 1000 m3
6.NC.T of which: Tropical 1000 m3 0.00 0.00 6.NC.T of which: Tropical 1000 m3
7 VENEER SHEETS 1000 m3 0.00 0.00 7 VENEER SHEETS 1000 m3 0 0
7.C Coniferous 1000 m3 0.00 0.00 7.C Coniferous 1000 m3
7.NC Non-Coniferous 1000 m3 0.00 0.00 7.NC Non-Coniferous 1000 m3
7.NC.T of which: Tropical 1000 m3 0.00 0.00 7.NC.T of which: Tropical 1000 m3
8 WOOD-BASED PANELS 1000 m3 3486.00 3466.00 8 WOOD-BASED PANELS 1000 m3 0 0
8.1 PLYWOOD 1000 m3 0.00 0.00 8.1 PLYWOOD 1000 m3 0 0
8.1.C Coniferous 1000 m3 0.00 0.00 8.1.C Coniferous 1000 m3
8.1.NC Non-Coniferous 1000 m3 0.00 0.00 8.1.NC Non-Coniferous 1000 m3
8.1.NC.T of which: Tropical 1000 m3 0.00 0.00 8.1.NC.T of which: Tropical 1000 m3
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0.00 0.00 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 0 0
8.1.1.C Coniferous 1000 m3 0.00 0.00 8.1.1.C Coniferous 1000 m3
8.1.1.NC Non-Coniferous 1000 m3 0.00 0.00 8.1.1.NC Non-Coniferous 1000 m3
8.1.1.NC.T of which: Tropical 1000 m3 0.00 0.00 8.1.1.NC.T of which: Tropical 1000 m3
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 2688.00 2610.00 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
8.3 FIBREBOARD 1000 m3 798.00 856.00 8.3 FIBREBOARD 1000 m3 0 0
8.3.1 HARDBOARD 1000 m3 0.00 0.00 8.3.1 HARDBOARD 1000 m3
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 798.00 856.00 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3
8.3.3 OTHER FIBREBOARD 1000 m3 0.00 0.00 8.3.3 OTHER FIBREBOARD 1000 m3
9 WOOD PULP 1000 t +++ +++ 9 WOOD PULP 1000 t ERROR:#VALUE! ERROR:#VALUE!
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 0.00 0.00 9.2 CHEMICAL WOOD PULP 1000 t 0 0
9.2.1 SULPHATE PULP 1000 t 0.00 0.00 9.2.1 SULPHATE PULP 1000 t
9.2.1.1 of which: BLEACHED 1000 t 0.00 0.00 9.2.1.1 of which: BLEACHED 1000 t
9.2.2 SULPHITE PULP 1000 t 0.00 0.00 9.2.2 SULPHITE PULP 1000 t
9.3 DISSOLVING GRADES 1000 t 0.00 0.00 9.3 DISSOLVING GRADES 1000 t
10 OTHER PULP 1000 t 2544.00 2398.00 10 OTHER PULP 1000 t 0 0
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 7.00 7.00 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t
10.2 RECOVERED FIBRE PULP 1000 t 2537.00 2391.00 10.2 RECOVERED FIBRE PULP 1000 t
11 RECOVERED PAPER 1000 t 7103.00 6689.00 11 RECOVERED PAPER 1000 t
12 PAPER AND PAPERBOARD 1000 t 3642.00 3462.00 12 PAPER AND PAPERBOARD 1000 t ERROR:#VALUE! ERROR:#VALUE!
12.1 GRAPHIC PAPERS 1000 t +++ +++ 12.1 GRAPHIC PAPERS 1000 t ERROR:#VALUE! ERROR:#VALUE!
12.1.1 NEWSPRINT 1000 t +++ +++ 12.1.1 NEWSPRINT 1000 t
12.1.2 UNCOATED MECHANICAL 1000 t +++ +++ 12.1.2 UNCOATED MECHANICAL 1000 t
12.1.3 UNCOATED WOODFREE 1000 t +++ +++ 12.1.3 UNCOATED WOODFREE 1000 t
12.1.4 COATED PAPERS 1000 t +++ +++ 12.1.4 COATED PAPERS 1000 t
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 690.00 737.00 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t
12.3 PACKAGING MATERIALS 1000 t 1898.00 1842.00 12.3 PACKAGING MATERIALS 1000 t ERROR:#VALUE! ERROR:#VALUE!
12.3.1 CASE MATERIALS 1000 t +++ +++ 12.3.1 CASE MATERIALS 1000 t
12.3.2 CARTONBOARD 1000 t +++ +++ 12.3.2 CARTONBOARD 1000 t
12.3.3 WRAPPING PAPERS 1000 t +++ +++ 12.3.3 WRAPPING PAPERS 1000 t
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t +++ +++ 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t
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
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 ERROR:#VALUE! ERROR:#VALUE!
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
m3ub = cubic metres solid volume underbark (i.e. excluding bark) Please complete each cell if possible with
m3 = cubic metres solid volume data (numerical value)
t = metric tonnes or "…" for not available
or "0" for zero data
https://www.fao.org/3/cb8216en/cb8216en.pdf

JQ2 Trade

61 62 61 62 91 92 91 92
FOREST SECTOR QUESTIONNAIRE JQ2 Country: United Kingdom Date: 23-04-11
Name of Official responsible for reply: INTRA-EU The difference might be caused by Intra-EU trade
PRIMARY PRODUCTS Official Address (in full): Northern Research Station, Roslin, Midlothian, EH25 9SY This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data! CHECK
Trade Telephone: Fax: This table highlights discrepancies between items and sub-items. Please verify your data if there's an error! ZERO CHECK 2 - if no value in Zero Check 1
E-mail: Country: United Kingdom verifies whether the JQ2 figures refers only to intra-EU trade
Specify Currency and Unit of Value (e.g.:1000 USD): £1000 (Sterling) Flag Flag Flag Flag Flag Flag Flag Flag Note Note Note Note Note Note Note Note Trade Discrepancies
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
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
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 763.75826087 110223.334 1071.5853240333 186143.834 184.65937334 32511.186 156.3207330333 30403.594 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 0 0 0 0 0 0 0 0 1 ROUNDWOOD (WOOD IN THE ROUGH) 1000 m3ub 11,478 10,703 1 ROUNDWOOD (WOOD IN THE ROUGH) NAC/m3
1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 124.38222403 22483.489 278.4085903448 83936.762 15.42902039 2686.436 14.5094868966 2686.655 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 0 0 0 0 0 0 0 0 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) 1000 m3ub 2,293 2,448 1.1 WOOD FUEL (INCLUDING WOOD FOR CHARCOAL) NAC/m3
1.1.C Coniferous 1000 m3ub 81.62164153 14590.429 46.969782069 13168.559 15.15982039 2488.283 4.9691765517 1451.233 1.1.C Coniferous 1000 m3ub 1.1.C Coniferous 1000 m3ub 1,638 1,613 1.1.C Coniferous NAC/m3
1.1.NC Non-Coniferous 1000 m3ub 42.7605825 7893.06 231.4388082759 70768.203 0.2692 198.153 9.5403103448 1235.422 1.1.NC Non-Coniferous 1000 m3ub 1.1.NC Non-Coniferous 1000 m3ub 655 834 1.1.NC Non-Coniferous NAC/m3
1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 639.37603684 87739.845 793.1767336885 102207.072 169.23035295 29824.75 141.8112461368 27716.939 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 0 0 0 0 0 0 0 0 1.2 INDUSTRIAL ROUNDWOOD 1000 m3ub 9,186 8,255 1.2 INDUSTRIAL ROUNDWOOD NAC/m3
1.2.C Coniferous 1000 m3ub 572.00720434 75842.406 748.31799328 93407.33 164.8320192 27700.437 129.72767956 25939.548 1.2.C Coniferous 1000 m3ub 1.2.C Coniferous 1000 m3ub 9,015 8,105 1.2.C Coniferous NAC/m3
1.2.NC Non-Coniferous 1000 m3ub 67.3688325 11897.439 44.8587404085 8799.742 4.39833375 2124.313 12.0835665768 1777.391 1.2.NC Non-Coniferous 1000 m3ub 1.2.NC Non-Coniferous 1000 m3ub 171 150 1.2.NC Non-Coniferous NAC/mt
1.2.NC.T of which: Tropical1 1000 m3ub 1.29608125 482.973 2.26178375 1067.226 0.03245875 49.591 3.13384625 495.361 1.2.NC.T of which: Tropical1 1000 m3ub 1.2.NC.T of which: Tropical1 1000 m3ub 1 -1 1.2.NC.T of which: Tropical 1000 m3
2 WOOD CHARCOAL 1000 t 95.50561 46436.414 86.91064 52236.943 3.119786 2185.829 2.298526 1873.717 2 WOOD CHARCOAL 1000 t 2 WOOD CHARCOAL 1000 t 97 90 2 WOOD CHARCOAL 1000 m3
3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 119.35124188 2583.716 95.82361824 11665.465 77.13640416 7724.14 69.3125736239 10770.898 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 0 0 0 0 0 0 0 0 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3 3,164 2,673 3 WOOD CHIPS, PARTICLES AND RESIDUES 1000 m3
3.1 WOOD CHIPS AND PARTICLES 1000 m3 117.63380548 2234.873 59.75939116 3452.924 75.51996 7425.635 61.1832 9743.63 3.1 WOOD CHIPS AND PARTICLES 1000 m3 3.1 WOOD CHIPS AND PARTICLES 1000 m3 2,383 1,983 3.1 WOOD CHIPS AND PARTICLES 1000 mt
3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 1.7174364 348.843 36.06422708 8212.541 1.61644416 298.505 8.1293736239 1027.268 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 m3 781 689 3.2 WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES) 1000 mt
3.2.1 of which: Sawdust 1000 m3 +++ +++ 6.71977424 1449.422 +++ +++ 6.25198176 824.745 3.2.1 of which: Sawdust 1000 m3 3.2.1 of which: Sawdust 1000 m3 ERROR:#VALUE! ERROR:#VALUE!
4 RECOVERED POST-CONSUMER WOOD 1000 t 97.5270716 6961.972 18.72793628 4091.568 5.00619768 198.909 18.78293012 202.523 4 RECOVERED POST-CONSUMER WOOD 1000 t 4 RECOVERED POST-CONSUMER WOOD 1000 t 4,593 4,500 4 RECOVERED POST-CONSUMER WOOD 1000 mt
5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 9160.535258 1301181.25 7585.407576 1351594.008 12.789769 2057.037 43.618492 13276.55 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 0 0 0 0 0 0 0 0 5 WOOD PELLETS AND OTHER AGGLOMERATES 1000 t 9,452 7,868 5 WOOD PELLETS AND OTHER AGGLOMERATES NAC/m3
5.1 WOOD PELLETS 1000 t 9128.015405 1294586.758 7515.693959 1322763.932 1.627909 420.361 22.816327 12008.768 5.1 WOOD PELLETS 1000 t 5.1 WOOD PELLETS 1000 t 9,431 7,819 5.1 WOOD PELLETS NAC/m3
5.2 OTHER AGGLOMERATES 1000 t 32.519853 6594.492 69.713617 28830.076 11.16186 1636.676 20.802165 1267.782 5.2 OTHER AGGLOMERATES 1000 t 5.2 OTHER AGGLOMERATES 1000 t 21 49 5.2 OTHER AGGLOMERATES NAC/m3
6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 8158.9758895 2668424.36 6506.3613032381 2345565.27057 276.57659198 96144.765 181.5429147177 84523.828 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 0 0 0 0 0 0 0 0 6 SAWNWOOD (INCLUDING SLEEPERS) 1000 m3 11,493 9,470 6 SAWNWOOD (INCLUDING SLEEPERS) NAC/m3
6.C Coniferous 1000 m3 7623.372691 2384009.739 5719.4541802782 1902542.56557 237.3755191 75196.213 164.987493448 61825.424 6.C Coniferous 1000 m3 6.C Coniferous 1000 m3 10,960 8,663 6.C Coniferous NAC/m3
6.NC Non-Coniferous 1000 m3 535.6031985 284414.621 786.9071229599 443022.705 39.20107288 20948.552 16.5554212697 22698.404 6.NC Non-Coniferous 1000 m3 6.NC Non-Coniferous 1000 m3 534 807 6.NC Non-Coniferous NAC/m3
6.NC.T of which: Tropical1 1000 m3 79.30549418 60195.744 93.70630841 88757.177 3.153793651 3381.486 2.7554738406 2916.32 6.NC.T of which: Tropical1 1000 m3 6.NC.T of which: Tropical1 1000 m3 76 91 6.NC.T of which: Tropical NAC/m3
7 VENEER SHEETS 1000 m3 14.205500085 12186.934 6.6362273936 33672.093 0.378327532 3329.648 0.6651 5003.892 7 VENEER SHEETS 1000 m3 0 0 0 0 0 0 0 0 7 VENEER SHEETS 1000 m3 14 6 7 VENEER SHEETS NAC/m3
7.C Coniferous 1000 m3 4.534032 1398.573 0.5009175532 2015.438 0.047902 744.259 0.2393 740.101 7.C Coniferous 1000 m3 7.C Coniferous 1000 m3 4 0 7.C Coniferous NAC/m3
7.NC Non-Coniferous 1000 m3 9.671468085 10788.361 6.1353098404 31656.655 0.330425532 2585.389 0.4258 4263.791 7.NC Non-Coniferous 1000 m3 7.NC Non-Coniferous 1000 m3 9 6 7.NC Non-Coniferous NAC/m3
7.NC.T of which: Tropical 1000 m3 0.333484043 763.519 0.50946581 2523.851 0.035555851 305.041 0.01362984 96.919 7.NC.T of which: Tropical 1000 m3 7.NC.T of which: Tropical 1000 m3 0 0 7.NC.T of which: Tropical NAC/m3
8 WOOD-BASED PANELS 1000 m3 3780.29090716 1301096.2991 3228.8308338938 1515323.39936107 321.036110253 154232.106 369.9936792488 166447.987192461 8 WOOD-BASED PANELS 1000 m3 0 0 0 0 0 0 0 0 8 WOOD-BASED PANELS 1000 m3 6,945 6,325 8 WOOD-BASED PANELS NAC/m3
8.1 PLYWOOD 1000 m3 1540.9895219 585552.318 1319.9539358769 669257.357 54.55172436 37301.91 65.6011743156 39599.617 8.1 PLYWOOD 1000 m3 0 0 0 0 0 0 0 0 8.1 PLYWOOD 1000 m3 1,486 1,254 8.1 PLYWOOD NAC/m3
8.1.C Coniferous 1000 m3 456.7605499 146394.446 349.7803664745 143894.339 9.843804 4808.05 10.6509989899 5470.452 8.1.C Coniferous 1000 m3 8.1.C Coniferous 1000 m3 447 339 8.1.C Coniferous NAC/m3
8.1.NC Non-Coniferous 1000 m3 1084.228972 439157.872 970.1735694024 525363.018 44.70792036 32493.86 54.9501753258 34129.165 8.1.NC Non-Coniferous 1000 m3 8.1.NC Non-Coniferous 1000 m3 1,040 915 8.1.NC Non-Coniferous NAC/m3
8.1.NC.T of which: Tropical 1000 m3 223.0408005 109393.468 167.2355109968 117044.005 31.27745 17703.559 36.68536318 24042.35 8.1.NC.T of which: Tropical 1000 m3 8.1.NC.T of which: Tropical 1000 m3 192 131 8.1.NC.T of which: Tropical NAC/m3
8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 +++ +++ 54.532 33241.3312 +++ +++ 0.5258894444 794.01 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 ERROR:#VALUE! ERROR:#VALUE! 0 0 ERROR:#VALUE! ERROR:#VALUE! 0 0 8.1.1 of which: Laminated Veneer Lumber (LVL) 1000 m3 ERROR:#VALUE! 54
8.1.1.C Coniferous 1000 m3 +++ +++ 49.718 32317.8842 +++ +++ 0.0229445752 30.984 8.1.1.C Coniferous 1000 m3 8.1.1.C Coniferous 1000 m3 ERROR:#VALUE! 50
8.1.1.NC Non-Coniferous 1000 m3 +++ +++ 4.814 923.447 +++ +++ 0.5029448692 763.026 8.1.1.NC Non-Coniferous 1000 m3 8.1.1.NC Non-Coniferous 1000 m3 ERROR:#VALUE! 4
8.1.1.NC.T of which: Tropical 1000 m3 +++ +++ 0.837 503.742 +++ +++ 0.4564948692 726.43 8.1.1.NC.T of which: Tropical 1000 m3 8.1.1.NC.T of which: Tropical 1000 m3 ERROR:#VALUE! 0
8.2 PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD 1000 m3 1158.999377 302691.6431 1013.5404428176 345057.187361066 194.9852788 83106.714 244.6268437996 87381.4501924607 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 3,652 3,379 8.2 PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD NAC/m3
8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 460.824008 121054.3991 365.4082229152 117376.516361066 132.9797109 58690.203 189.6719542152 61620.0651924607 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 8.2.1 of which: ORIENTED STRAND BOARD (OSB) 1000 m3 ERROR:#VALUE! ERROR:#VALUE! 8.2.1 of which: ORIENTED STRANDBOARD (OSB) NAC/m3
8.3 FIBREBOARD 1000 m3 1080.30200826 412852.338 895.3364551994 501008.855 71.499107093 33823.482 59.7656611337 39466.92 8.3 FIBREBOARD 1000 m3 0 0 0 0 0 0 0 0 8.3 FIBREBOARD 1000 m3 1,807 1,692 8.3 FIBREBOARD NAC/m3
8.3.1 HARDBOARD 1000 m3 111.1596702 66686.982 109.7815340426 91953.474 10.51749149 5299.072 8.6520319149 6548.612 8.3.1 HARDBOARD 1000 m3 8.3.1 HARDBOARD 1000 m3 101 101 8.3.1 HARDBOARD NAC/mt
8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 878.3691365 321010.992 738.9639442818 393218.186 54.41145654 22979.432 42.0405589063 24171.061 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) 1000 m3 1,622 1,553 8.3.2 MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF) NAC/mt
8.3.3 OTHER FIBREBOARD 1000 m3 90.77320156 25154.364 46.590976875 15837.195 6.570159063 5544.978 9.0730703125 8747.247 8.3.3 OTHER FIBREBOARD 1000 m3 8.3.3 OTHER FIBREBOARD 1000 m3 84 38 8.3.3 OTHER FIBREBOARD NAC/mt
9 WOOD PULP 1000 t 754.08485313 345532.107 838.384293 537160.548 2.303856 1243.531 1.463933 899.914 9 WOOD PULP 1000 t 0 0 0 0 0 0 0 0 9 WOOD PULP 1000 t ERROR:#VALUE! ERROR:#VALUE! 9 WOOD PULP NAC/mt
9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 17 6877.616 17 8464.42 0.171 255.35 0.410593 136.033 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP 1000 t ERROR:#VALUE! ERROR:#VALUE! 9.1 MECHANICAL AND SEMI-CHEMICAL WOOD PULP NAC/mt
9.2 CHEMICAL WOOD PULP 1000 t 686 303923.333 774 488480.629 2.132 975.4 1.031022 731.434 9.2 CHEMICAL WOOD PULP 1000 t 0 0 9 7,064 0 0 0 0 9.2 CHEMICAL WOOD PULP 1000 t 684 773 9.2 CHEMICAL WOOD PULP NAC/mt
9.2.1 SULPHATE PULP 1000 t 683 300739.103 772 484660.239 2.121 932.043 1 667.484 9.2.1 SULPHATE PULP 1000 t 9.2.1 SULPHATE PULP 1000 t 681 762 9.2.1 SULPHATE PULP NAC/mt
9.2.1.1 of which: BLEACHED 1000 t 673.4675567247 296541.77 762.580405 477596.532 2.108212 930.621 1 667.484 9.2.1.1 of which: BLEACHED 1000 t 9.2.1.1 of which: BLEACHED 1000 t 671 ERROR:#REF! 9.2.1.1 of which: BLEACHED NAC/mt
9.2.2 SULPHITE PULP 1000 t 3 3184.23 2 3820.39 0.011 43.357 0.031022 63.95 9.2.2 SULPHITE PULP 1000 t 9.2.2 SULPHITE PULP 1000 t 3 2 9.2.2 SULPHITE PULP NAC/mt
9.3 DISSOLVING GRADES 1000 t 51.08485313 34731.158 47.384293 40215.499 0.000856 12.781 0.022318 32.447 9.3 DISSOLVING GRADES 1000 t 9.3 DISSOLVING GRADES 1000 t 51 47 9.3 DISSOLVING GRADES NAC/mt
10 OTHER PULP 1000 t 23.991613 50866.098 20.418218 58526.151 2.852871 2058.711 5.187455 2778.061 10 OTHER PULP 1000 t 0 0 0 0 0 0 0 0 10 OTHER PULP 1000 t 2,565 2,413 10 OTHER PULP NAC/mt
10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 15.290399 45558.685 15.310149 54289.597 0.334595 960.083 0.430984 1301.866 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 10.1 PULP FROM FIBRES OTHER THAN WOOD 1000 t 22 22 10.1 PULP FROM FIBRES OTHER THAN WOOD NAC/mt
10.2 RECOVERED FIBRE PULP 1000 t 8.701214 5307.413 5.108069 4236.554 2.518276 1098.628 4.756471 1476.195 10.2 RECOVERED FIBRE PULP 1000 t 10.2 RECOVERED FIBRE PULP 1000 t 2,543 2,391 10.2 RECOVERED FIBRE PULP NAC/mt
11 RECOVERED PAPER 1000 t 130 26338.382 168 39095.628 4298.624 731138.719 4082 748883.486 11 RECOVERED PAPER 1000 t 11 RECOVERED PAPER 1000 t 2,934 2,775 11 RECOVERED PAPER NAC/mt
12 PAPER AND PAPERBOARD 1000 t 4206 2665677.044 5015 4573783.666 1047.785224 939585.866 1055 1170902.718 12 PAPER AND PAPERBOARD 1000 t 0 0 0 0 0 0 0 0 12 PAPER AND PAPERBOARD 1000 t 6,800 7,422 12 PAPER AND PAPERBOARD NAC/mt
12.1 GRAPHIC PAPERS 1000 t 1744 1014693.363 2028 1843716.542 450.36358 394287.459 404 495975.536 12.1 GRAPHIC PAPERS 1000 t 0 0 0 0 0 0 0 0 12.1 GRAPHIC PAPERS 1000 t ERROR:#VALUE! ERROR:#VALUE! 12.1 GRAPHIC PAPERS NAC/mt
12.1.1 NEWSPRINT 1000 t 285 107278.179 382 231966.651 304.965143 121290.122 269 197005.666 12.1.1 NEWSPRINT 1000 t 12.1.1 NEWSPRINT 1000 t ERROR:#VALUE! ERROR:#VALUE! 12.1.1 NEWSPRINT NAC/mt
12.1.2 UNCOATED MECHANICAL 1000 t 182 92761.558 238 162153.772 8.900628 43686.061 10 53339.757 12.1.2 UNCOATED MECHANICAL 1000 t 12.1.2 UNCOATED MECHANICAL 1000 t ERROR:#VALUE! ERROR:#VALUE! 12.1.2 UNCOATED MECHANICAL NAC/mt
12.1.3 UNCOATED WOODFREE 1000 t 561 375178.5 693 738311.445 58.497809 170509.138 45 164446.109 12.1.3 UNCOATED WOODFREE 1000 t 12.1.3 UNCOATED WOODFREE 1000 t ERROR:#VALUE! ERROR:#VALUE! 12.1.3 UNCOATED WOODFREE NAC/mt
12.1.4 COATED PAPERS 1000 t 716 439475.126 715 711284.674 78 58802.138 80 81184.004 12.1.4 COATED PAPERS 1000 t 12.1.4 COATED PAPERS 1000 t ERROR:#VALUE! ERROR:#VALUE! 12.1.4 COATED PAPERS NAC/mt
12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 486 301824.715 543 516003.106 101 39091.723 115 51587.397 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 12.2 HOUSEHOLD AND SANITARY PAPERS 1000 t 1,075 1,165 12.2 HOUSEHOLD AND SANITARY PAPERS NAC/mt
12.3 PACKAGING MATERIALS 1000 t 1929 1302922.243 2388 2145389.725 456.421644 416805.178 498 533157.906 12.3 PACKAGING MATERIALS 1000 t 0 0 0 0 0 0 0 0 12.3 PACKAGING MATERIALS 1000 t 3,371 3,732 12.3 PACKAGING MATERIALS NAC/mt
12.3.1 CASE MATERIALS 1000 t 1047 536743.39 1241 842213.296 129.16777 64991.451 180 112464.498 12.3.1 CASE MATERIALS 1000 t 12.3.1 CASE MATERIALS 1000 t ERROR:#VALUE! ERROR:#VALUE! 12.3.1 CASE MATERIALS NAC/mt
12.3.2 CARTONBOARD 1000 t 599 532805.619 752 880655.333 233.674724 214204.191 231 247999.036 12.3.2 CARTONBOARD 1000 t 12.3.2 CARTONBOARD 1000 t ERROR:#VALUE! ERROR:#VALUE! 12.3.2 CARTONBOARD NAC/mt
12.3.3 WRAPPING PAPERS 1000 t 154 187056.966 225 356256.247 46.706652 115341.41 47 146582.062 12.3.3 WRAPPING PAPERS 1000 t 12.3.3 WRAPPING PAPERS 1000 t ERROR:#VALUE! ERROR:#VALUE! 12.3.3 WRAPPING PAPERS NAC/mt
12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 129 46316.268 170 66264.849 46.872498 22268.126 40 26112.31 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING 1000 t ERROR:#VALUE! ERROR:#VALUE! 12.3.4 OTHER PAPERS MAINLY FOR PACKAGING NAC/mt
12.4 OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED) 1000 t 47 46236.723 56 68674.293 40 89401.506 38 90181.879 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 ERROR:#VALUE! ERROR:#VALUE! 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 +++ +++ 35 57,867 +++ +++ 3 4,198 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 ERROR:#VALUE! ERROR:#VALUE! 0 0 ERROR:#VALUE! ERROR:#VALUE! 0 0 15 GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1 1000 m3 ERROR:#VALUE! ERROR:#VALUE!
15.1 GLULAM 1000 m3 +++ +++ 19 34,287 +++ +++ 3 4,115 15.1 GLULAM 1000 m3 15.1 GLULAM 1000 m3 ERROR:#VALUE! ERROR:#VALUE!
15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 +++ +++ 15 23,580 +++ +++ 0 83 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 15.2 CROSS-LAMINATED TIMBER (CLT or X-LAM) 1000 m3 ERROR:#VALUE! ERROR:#VALUE!
16 I BEAMS (I-JOISTS)2 1000 t +++ +++ 31.199634 33030.883 +++ +++ 0.764114 1281.181 16 I BEAMS (I-JOISTS)1 1000 t 16 I BEAMS (I-JOISTS)1 1000 t ERROR:#VALUE! ERROR:#VALUE!
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
m3 = cubic metres solid volume Please complete each cell if possible with
m3ub = cubic metres solid volume underbark (i.e. excluding bark) data (numerical value)
t = metric tonnes or "…" for not available
or "0" for zero data
https://www.fao.org/3/cb8216en/cb8216en.pdf

JQ3 Secondary PP Trade

62 91 91
Country: United Kingdom Date:
Name of Official responsible for reply:
Daniel Braby
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ3 Northern Research Station
Roslin, Midlothian, EH25 9SY
SECONDARY PROCESSED PRODUCTS Telephone/Fax:
Trade E-mail:
This table highlights discrepancies between items and sub-items. Please verify your data if there's an error!
Specify Currency and Unit of Value (e.g.:1000 US $): £1000 (Sterling) Discrepancies
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 13 SECONDARY WOOD PRODUCTS
13.1 FURTHER PROCESSED SAWNWOOD 144751.256 215688.661 29698.154 28575.493 13.1 FURTHER PROCESSED SAWNWOOD 0 0 0 0
13.1.C Coniferous 50799.148 81938.395 20725.529 17690 13.1.C Coniferous
13.1.NC Non-coniferous 93952.108 133750.266 8972.625 10885.493 13.1.NC Non-coniferous
13.1.NC.T of which: Tropical 9242.094 14858.404 965.187 1481.261 13.1.NC.T of which: Tropical
13.2 WOODEN WRAPPING AND PACKAGING MATERIAL 177996.105 281072.145 150347.702 189266.068 13.2 WOODEN WRAPPING AND PACKAGING MATERIAL
13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE 175370.518 190076.229 24111.817 25588.372 13.3 WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1 812048.086 996889.721 77112.638 64768.436 13.4 BUILDER’S JOINERY AND CARPENTRY OF WOOD1
13.5 WOODEN FURNITURE 3728284.887 4696632.967 404648.392 542795.159 13.5 WOODEN FURNITURE
13.6 PREFABRICATED BUILDINGS OF WOOD 60833.12 137827.652 19445.675 30175.53 13.6 PREFABRICATED BUILDINGS OF WOOD
13.7 OTHER MANUFACTURED WOOD PRODUCTS 318949.26 322858.672 42164.102 35441.804 13.7 OTHER MANUFACTURED WOOD PRODUCTS
14 SECONDARY PAPER PRODUCTS 14 SECONDARY PAPER PRODUCTS
14.1 COMPOSITE PAPER AND PAPERBOARD 36193.583 68048.718 8920.389 11363.743 14.1 COMPOSITE PAPER AND PAPERBOARD
14.2 SPECIAL COATED PAPER AND PULP PRODUCTS 308206.929 468288.961 191915.985 260495.95 14.2 SPECIAL COATED PAPER AND PULP PRODUCTS
14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE 43548.869 401288.245 12430.071 229294.81 14.3 HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4 PACKAGING CARTONS, BOXES ETC. 756134.492 1126355.57 342301.253 407831.611 14.4 PACKAGING CARTONS, BOXES ETC.
14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 667084.588 927706.359 439363.702 485729.139 14.5 OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE 599413.845 819612.783 338180.867 363911.367
14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE 21154.668 16772.07 2846.385 5390.368 14.5.1 of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP 28975.286 65368.879 19152.014 18681.35 14.5.2 of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3 of which: FILTER PAPER AND PAPERBOARD, READY FOR USE 17540.789 25952.627 79184.436 97746.054 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.
Please complete each cell with
data (numerical value)
or "…" for not available
or "0" for zero data

ECE-EU Species

Country: United Kingdom Date: 4/23/11
Name of Official responsible for reply: DISCREPANCIES
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade Official Address (in full): Northern Research Station, Checks
Roslin, Midlothian, EH25 9SY - Checks that values reported on JQ2 match values reported on this sheet
Trade in Roundwood and Sawnwood by species Telephone: Fax: - Checks that subitems are < or = to aggregate
E-mail:
Specify Currency and Unit of Value (e.g.:1000 national currency): £1000 (Sterling)
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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 Classification Classification Unit of 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 2021 2022 0 0 0 0
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
1.2.C 4403.11/21/22/23/24/25/26 Industrial Roundwood, Coniferous 1000 m3ub 572.00720434 75842.406 748.31799328 93407.33 164.8320192 27700.437 129.72767956 25939.548 OK JQ2 Discrepancy OK OK OK OK OK OK
4403.21/22 of which: Pine (Pinus spp.) 1000 m3ub 30.70472834 8738.64 32.56864897 8383.569 4.7813120704 1290.82 6.2471413212 1634.196 OK OK OK OK OK OK OK OK
4403 21 10 sawlogs and veneer logs 1000 m3ub 0.01440725 43.092 0.1097811 125.056 0.0000241076 0.894 0.0145226067 13.113
4403 21 90 4403 22 00 pulpwood and other industrial roundwood 1000 m3ub 30.69032109 8695.548 32.45886787 8258.513 4.7812879628 1289.926 6.2326187145 1621.083
4403.23/24 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3ub 463.16982569 53606.797 528.07094483 25171.173 152.711236235 20817.695 123.4805382388 19430.3 OK OK OK OK OK OK OK OK
4403 23 10 sawlogs and veneer logs 1000 m3ub 359.4465303 19305.717 456.74293093 21344.957 142.26178506 20383.207 114.5097166061 18145.449
4403 23 90 4403 24 00 pulpwood and other industrial roundwood 1000 m3ub 103.72329539 34301.08 71.3280139 3826.216 10.449451175 434.488 8.9708216327 1284.851
1.2.NC 4403.12/41/42/49/91/93/94 4403.95/96/97/98/99 Industrial Roundwood, Non-Coniferous 1000 m3ub 67.3688325 11897.439 44.8587404085 8799.742 4.39833375 2124.313 12.0835665768 1777.391 OK OK OK OK OK OK OK OK
ex4403.12 4403.91 of which: Oak (Quercus spp.) 1000 m3ub 4.6542225 1951.079 19.525 5276.623 0.02474875 87.548 0.037 78.763
ex4403.12 4403.93/94 of which: Beech (Fagus spp.) 1000 m3ub 0 0 0.415 99.675 1.4741975 537.219 0 1.04
ex4403.12 4403.95/96 of which: Birch (Betula spp.) 1000 m3ub 45.85974875 3300.19 15.976 874.038 0.00489375 10.54 3.246 123.145 OK OK OK OK OK OK OK OK
4403 95 10 sawlogs and veneer logs 1000 m3ub 0 0 0 0 0 0 0 0
ex4403 12 00 4403 95 90 4403 96 00 pulpwood and other industrial roundwood 1000 m3ub 45.85974875 3300.19 15.976 874.038 0.00489375 10.54 3.246 123.145
ex4403.12 4403.97 of which: Poplar/Aspen (Populus spp.) 1000 m3ub 0.30759625 49.93 0.016 8.297 0 0 0 0
ex4403.12 4403.98 of which: Eucalyptus (Eucalyptus spp.) 1000 m3ub 0.30948 39.399 0.14 168.376 0 0 0 1.914
6.C 4406.11/91 4407.11/12/13/14/19 Sawnwood, Coniferous 1000 m3 7623.372691 2384009.739 5719.4541802782 1902542.56557 237.3755191 75196.213 164.987493448 61825.424 OK OK OK OK OK OK OK OK
4407.11 ex4407.13 ex4406.11/91 of which: Pine (Pinus spp.) 1000 m3 2416.307056 744346.336 1470.557 515269.41 63.91547843 21945.047 17.6232708159 14131.0315041103
4407.12 ex4407.13/14 ex4406.11/91 of which: Fir/Spruce (Abies spp., Picea spp.) 1000 m3 4221.945 1322089.356 3469.732 1246638.95 170.8961289 51577.024 147.3642226321 47694.3924958897
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 535.6031985 284414.621 786.9071229599 443022.705 39.20107288 20948.552 16.5554212697 22698.404 OK OK OK OK OK OK OK OK
ex4406.12/92 4407.91 of which: Oak (Quercus spp.) 1000 m3 162.3259986 148483.306 203.95 194185.092 3.694046667 3630.562 2.644 3662.044
ex4406.12/92 4407.92 of which: Beech (Fagus spp.) 1000 m3 20.57198098 8326.959 22.264 13526.993 0.100833333 100.53 0.632 467.151
ex4406.12/92 4407.93 of which: Maple (Acer spp.) 1000 m3 4.701429198 4625.098 4.434 5416.624 0.173335385 148.872 0.178 204.757
ex4406.12/92 4407.94 of which: Cherry (Prunus spp.) 1000 m3 0.832685249 709.455 0.454 530.95 0.020685 16.683 0.008 11.309
ex4406.12/92 4407.95 of which: Ash (Fraxinus spp.) 1000 m3 11.67797902 8515.245 15.566 12502.824 1.425970149 1055.17 0.625 541.14
ex4406.12/92 4407.96 of which: Birch (Betula spp.) 1000 m3 32.72466098 9756.686 42.819 19460.783 0.002198507 2.659 0.008 23.068
ex4406.12/92 4407.97 of which: Poplar/Aspen (Populus spp.) 1000 m3 27.54462397 14893.397 20.576 15960.775 1.639631111 1163.953 0.665 694.843
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
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

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 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P.OB 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! 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 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
ERROR:#REF! P 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 5 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 5_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 5_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! 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 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF!
Q ERROR:#REF! M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! M 1000 NAC 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! M 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! X 1000 m3 1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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TS-JQ3

% Min: 80% Max: 120% Notes
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% Min: 80% Max: 120% Notes
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Q ERROR:#REF! EX_X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 7_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 8 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 8_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 8_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 9 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_X 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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€ ERROR:#REF! EX_X 1000 NAC 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_X 1000 mt 10_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_M 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_M 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! EX_X 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
€ ERROR:#REF! EX_M 1000 NAC 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
UV ERROR:#REF! EX_M 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
Q ERROR:#REF! EX_X 1000 mt 10_4 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
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UV ERROR:#REF! 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
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ERROR:#REF! P 1000 m3 EU2_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_1 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_1_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_1_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_2 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_2_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_2_NC ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_3 ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! P 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! ERROR:#REF! !! !! !! !! !! !!
ERROR:#REF! 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.

SentData

Country Flow Year Unit Product Conc Data value
ERROR:#REF! P 2021 1000 m3 1 ERROR:#REF! 10899.2780907871 JQ1
ERROR:#REF! P 2021 1000 m3 1_C ERROR:#REF! 2183.7
ERROR:#REF! P 2021 1000 m3 1_NC ERROR:#REF! 1571.2
ERROR:#REF! P 2021 1000 m3 1_1 ERROR:#REF! 612.5
ERROR:#REF! P 2021 1000 m3 1_1_C ERROR:#REF! 8715.5780907872
ERROR:#REF! P 2021 1000 m3 1_1_NC ERROR:#REF! 8607.8082503998
ERROR:#REF! P 2021 1000 m3 1_2 ERROR:#REF! 107.7698403873
ERROR:#REF! P 2021 1000 m3 1_2_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 1_2_NC ERROR:#REF! 6354.2744783305
ERROR:#REF! P 2021 1000 m3 1_2_1 ERROR:#REF! 6297.7804111566
ERROR:#REF! P 2021 1000 m3 1_2_1_C ERROR:#REF! 56.4940671739
ERROR:#REF! P 2021 1000 m3 1_2_1_NC ERROR:#REF! 1898.3940792134
ERROR:#REF! P 2021 1000 m3 1_2_2 ERROR:#REF! 1895.243306
ERROR:#REF! P 2021 1000 m3 1_2_2_C ERROR:#REF! 3.1507732134
ERROR:#REF! P 2021 1000 m3 1_2_2_NC ERROR:#REF! 462.9095332432
ERROR:#REF! P 2021 1000 m3 1_2_3 ERROR:#REF! 414.7845332432
ERROR:#REF! P 2021 1000 m3 1_2_3_C ERROR:#REF! 48.125
ERROR:#REF! P 2021 1000 m3 1_2_3_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 2 ERROR:#REF! 3121.7780570476
ERROR:#REF! P 2021 1000 m3 3 ERROR:#REF! 2341.3335427857
ERROR:#REF! P 2021 1000 m3 3_1 ERROR:#REF! 780.4445142619
ERROR:#REF! P 2021 1000 m3 3_2 ERROR:#REF! 4500
ERROR:#REF! P 2021 1000 mt 4 ERROR:#REF! 304.41140491
ERROR:#REF! P 2021 1000 mt 4_1 ERROR:#REF! 304.41140491
ERROR:#REF! P 2021 1000 mt 4_2 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 5 ERROR:#REF! 3610.836966144
ERROR:#REF! P 2021 1000 m3 5_C ERROR:#REF! 3573.5390557
ERROR:#REF! P 2021 1000 m3 5_NC ERROR:#REF! 37.297910444
ERROR:#REF! P 2021 1000 m3 5_NC_T ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_1_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_1_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_1_NC_T ERROR:#REF! 3486
ERROR:#REF! P 2021 1000 m3 6_2 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_2_C ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_2_NC ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_2_NC_T ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_3 ERROR:#REF! 2688
ERROR:#REF! P 2021 1000 m3 6_3_1 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 m3 6_4 ERROR:#REF! 798
ERROR:#REF! P 2021 1000 m3 6_4_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 m3 6_4_2 ERROR:#REF! 798
ERROR:#REF! P 2021 1000 m3 6_4_3 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 7 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 7_1 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 7_2 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 7_3 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 7_3_1 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 7_3_2 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 7_3_3 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 7_3_4 ERROR:#REF! 2544
ERROR:#REF! P 2021 1000 mt 7_4 ERROR:#REF! 7
ERROR:#REF! P 2021 1000 mt 8 ERROR:#REF! 2537
ERROR:#REF! P 2021 1000 mt 8_1 ERROR:#REF! 7103
ERROR:#REF! P 2021 1000 mt 8_2 ERROR:#REF! 3642
ERROR:#REF! P 2021 1000 mt 9 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10_1 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10_1_1 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10_1_2 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10_1_3 ERROR:#REF! 690
ERROR:#REF! P 2021 1000 mt 10_1_4 ERROR:#REF! 1898
ERROR:#REF! P 2021 1000 mt 10_2 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10_3 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10_3_1 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10_3_2 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10_3_3 ERROR:#REF! +++
ERROR:#REF! P 2021 1000 mt 10_3_4 ERROR:#REF! 0
ERROR:#REF! P 2021 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P 2022 1000 m3 1 ERROR:#REF! 9787.6603370088
ERROR:#REF! P 2022 1000 m3 1_C ERROR:#REF! 2183.7
ERROR:#REF! P 2022 1000 m3 1_NC ERROR:#REF! 1571.2
ERROR:#REF! P 2022 1000 m3 1_1 ERROR:#REF! 612.5
ERROR:#REF! P 2022 1000 m3 1_1_C ERROR:#REF! 7603.9603370088
ERROR:#REF! P 2022 1000 m3 1_1_NC ERROR:#REF! 7486.3405955948
ERROR:#REF! P 2022 1000 m3 1_2 ERROR:#REF! 117.619741414
ERROR:#REF! P 2022 1000 m3 1_2_C ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 1_2_NC ERROR:#REF! 5509.0272413044
ERROR:#REF! P 2022 1000 m3 1_2_1 ERROR:#REF! 5452.5955857654
ERROR:#REF! P 2022 1000 m3 1_2_1_C ERROR:#REF! 56.431655539
ERROR:#REF! P 2022 1000 m3 1_2_1_NC ERROR:#REF! 1646.450180235
ERROR:#REF! P 2022 1000 m3 1_2_2 ERROR:#REF! 1633.38709436
ERROR:#REF! P 2022 1000 m3 1_2_2_C ERROR:#REF! 13.063085875
ERROR:#REF! P 2022 1000 m3 1_2_2_NC ERROR:#REF! 448.4829154694
ERROR:#REF! P 2022 1000 m3 1_2_3 ERROR:#REF! 400.3579154694
ERROR:#REF! P 2022 1000 m3 1_2_3_C ERROR:#REF! 48.125
ERROR:#REF! P 2022 1000 m3 1_2_3_NC ERROR:#REF! 0
ERROR:#REF! P 2022 1000 mt 2 ERROR:#REF! 2646.2432838809
ERROR:#REF! P 2022 1000 m3 3 ERROR:#REF! 1984.6824629106
ERROR:#REF! P 2022 1000 m3 3_1 ERROR:#REF! 661.5608209702
ERROR:#REF! P 2022 1000 m3 3_2 ERROR:#REF! 4500
ERROR:#REF! P 2022 1000 mt 4 ERROR:#REF! 326.55859162
ERROR:#REF! P 2022 1000 mt 4_1 ERROR:#REF! 326.55859162
ERROR:#REF! P 2022 1000 mt 4_2 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 5 ERROR:#REF! 3144.968192007
ERROR:#REF! P 2022 1000 m3 5_C ERROR:#REF! 3108.3637351
ERROR:#REF! P 2022 1000 m3 5_NC ERROR:#REF! 36.604456907
ERROR:#REF! P 2022 1000 m3 5_NC_T ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6_1 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6_1_C ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6_1_NC ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6_1_NC_T ERROR:#REF! 3466
ERROR:#REF! P 2022 1000 m3 6_2 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6_2_C ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6_2_NC ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6_2_NC_T ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6_3 ERROR:#REF! 2610
ERROR:#REF! P 2022 1000 m3 6_3_1 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 m3 6_4 ERROR:#REF! 856
ERROR:#REF! P 2022 1000 m3 6_4_1 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 m3 6_4_2 ERROR:#REF! 856
ERROR:#REF! P 2022 1000 m3 6_4_3 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 mt 7 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 7_1 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 7_2 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 mt 7_3 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 mt 7_3_1 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 mt 7_3_2 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 mt 7_3_3 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 mt 7_3_4 ERROR:#REF! 2398
ERROR:#REF! P 2022 1000 mt 7_4 ERROR:#REF! 7
ERROR:#REF! P 2022 1000 mt 8 ERROR:#REF! 2391
ERROR:#REF! P 2022 1000 mt 8_1 ERROR:#REF! 6689
ERROR:#REF! P 2022 1000 mt 8_2 ERROR:#REF! 3462
ERROR:#REF! P 2022 1000 mt 9 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10_1 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10_1_1 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10_1_2 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10_1_3 ERROR:#REF! 737
ERROR:#REF! P 2022 1000 mt 10_1_4 ERROR:#REF! 1842
ERROR:#REF! P 2022 1000 mt 10_2 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10_3 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10_3_1 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10_3_2 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10_3_3 ERROR:#REF! +++
ERROR:#REF! P 2022 1000 mt 10_3_4 ERROR:#REF! 0
ERROR:#REF! P 2022 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 1 ERROR:#REF! 763.75826087 JQ2
ERROR:#REF! M 2021 1000 m3 1_1 ERROR:#REF! 124.38222403
ERROR:#REF! M 2021 1000 m3 1_2 ERROR:#REF! 81.62164153
ERROR:#REF! M 2021 1000 m3 1_2_C ERROR:#REF! 42.7605825
ERROR:#REF! M 2021 1000 m3 1_2_NC ERROR:#REF! 639.37603684
ERROR:#REF! M 2021 1000 m3 1_2_NC_T ERROR:#REF! 572.00720434
ERROR:#REF! M 2021 1000 mt 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 3 ERROR:#REF! 1.29608125
ERROR:#REF! M 2021 1000 m3 3_1 ERROR:#REF! 95.50561
ERROR:#REF! M 2021 1000 m3 3_2 ERROR:#REF! 119.35124188
ERROR:#REF! M 2021 1000 mt 4 ERROR:#REF! 117.63380548
ERROR:#REF! M 2021 1000 mt 4_1 ERROR:#REF! 1.7174364
ERROR:#REF! M 2021 1000 mt 4_2 ERROR:#REF! 97.5270716
ERROR:#REF! M 2021 1000 m3 5 ERROR:#REF! 9160.535258
ERROR:#REF! M 2021 1000 m3 5_C ERROR:#REF! 9128.015405
ERROR:#REF! M 2021 1000 m3 5_NC ERROR:#REF! 32.519853
ERROR:#REF! M 2021 1000 m3 5_NC_T ERROR:#REF! 8158.9758895
ERROR:#REF! M 2021 1000 m3 6 ERROR:#REF! 7623.372691
ERROR:#REF! M 2021 1000 m3 6_1 ERROR:#REF! 535.6031985
ERROR:#REF! M 2021 1000 m3 6_1_C ERROR:#REF! 79.30549418
ERROR:#REF! M 2021 1000 m3 6_1_NC ERROR:#REF! 14.205500085
ERROR:#REF! M 2021 1000 m3 6_1_NC_T ERROR:#REF! 4.534032
ERROR:#REF! M 2021 1000 m3 6_2 ERROR:#REF! 9.671468085
ERROR:#REF! M 2021 1000 m3 6_2_C ERROR:#REF! 0.333484043
ERROR:#REF! M 2021 1000 m3 6_2_NC ERROR:#REF! 3780.29090716
ERROR:#REF! M 2021 1000 m3 6_2_NC_T ERROR:#REF! 1540.9895219
ERROR:#REF! M 2021 1000 m3 6_3 ERROR:#REF! 456.7605499
ERROR:#REF! M 2021 1000 m3 6_3_1 ERROR:#REF! 1084.228972
ERROR:#REF! M 2021 1000 m3 6_4 ERROR:#REF! 223.0408005
ERROR:#REF! M 2021 1000 m3 6_4_1 ERROR:#REF! 1158.999377
ERROR:#REF! M 2021 1000 m3 6_4_2 ERROR:#REF! 460.824008
ERROR:#REF! M 2021 1000 m3 6_4_3 ERROR:#REF! 1080.30200826
ERROR:#REF! M 2021 1000 mt 7 ERROR:#REF! 111.1596702
ERROR:#REF! M 2021 1000 mt 7_1 ERROR:#REF! 878.3691365
ERROR:#REF! M 2021 1000 mt 7_2 ERROR:#REF! 90.77320156
ERROR:#REF! M 2021 1000 mt 7_3 ERROR:#REF! 754.08485313
ERROR:#REF! M 2021 1000 mt 7_3_1 ERROR:#REF! 17
ERROR:#REF! M 2021 1000 mt 7_3_2 ERROR:#REF! 686
ERROR:#REF! M 2021 1000 mt 7_3_3 ERROR:#REF! 683
ERROR:#REF! M 2021 1000 mt 7_3_4 ERROR:#REF! 673.4675567247
ERROR:#REF! M 2021 1000 mt 7_4 ERROR:#REF! 3
ERROR:#REF! M 2021 1000 mt 8 ERROR:#REF! 51.08485313
ERROR:#REF! M 2021 1000 mt 8_1 ERROR:#REF! 23.991613
ERROR:#REF! M 2021 1000 mt 8_2 ERROR:#REF! 15.290399
ERROR:#REF! M 2021 1000 mt 9 ERROR:#REF! 8.701214
ERROR:#REF! M 2021 1000 mt 10 ERROR:#REF! 130
ERROR:#REF! M 2021 1000 mt 10_1 ERROR:#REF! 4206
ERROR:#REF! M 2021 1000 mt 10_1_1 ERROR:#REF! 1744
ERROR:#REF! M 2021 1000 mt 10_1_2 ERROR:#REF! 285
ERROR:#REF! M 2021 1000 mt 10_1_3 ERROR:#REF! 182
ERROR:#REF! M 2021 1000 mt 10_1_4 ERROR:#REF! 561
ERROR:#REF! M 2021 1000 mt 10_2 ERROR:#REF! 716
ERROR:#REF! M 2021 1000 mt 10_3 ERROR:#REF! 486
ERROR:#REF! M 2021 1000 mt 10_3_1 ERROR:#REF! 1929
ERROR:#REF! M 2021 1000 mt 10_3_2 ERROR:#REF! 1047
ERROR:#REF! M 2021 1000 mt 10_3_3 ERROR:#REF! 599
ERROR:#REF! M 2021 1000 mt 10_3_4 ERROR:#REF! 154
ERROR:#REF! M 2021 1000 mt 10_4 ERROR:#REF! 129
ERROR:#REF! M 2021 1000 NAC 1 ERROR:#REF! 110223.334
ERROR:#REF! M 2021 1000 NAC 1_1 ERROR:#REF! 22483.489
ERROR:#REF! M 2021 1000 NAC 1_2 ERROR:#REF! 14590.429
ERROR:#REF! M 2021 1000 NAC 1_2_C ERROR:#REF! 7893.06
ERROR:#REF! M 2021 1000 NAC 1_2_NC ERROR:#REF! 87739.845
ERROR:#REF! M 2021 1000 NAC 1_2_NC_T ERROR:#REF! 67.3688325
ERROR:#REF! M 2021 1000 NAC 2 ERROR:#REF! 11897.439
ERROR:#REF! M 2021 1000 NAC 3 ERROR:#REF! 482.973
ERROR:#REF! M 2021 1000 NAC 3_1 ERROR:#REF! 46436.414
ERROR:#REF! M 2021 1000 NAC 3_2 ERROR:#REF! 2583.716
ERROR:#REF! M 2021 1000 NAC 4 ERROR:#REF! 2234.873
ERROR:#REF! M 2021 1000 NAC 4_1 ERROR:#REF! 348.843
ERROR:#REF! M 2021 1000 NAC 4_2 ERROR:#REF! 6961.972
ERROR:#REF! M 2021 1000 NAC 5 ERROR:#REF! 1301181.25
ERROR:#REF! M 2021 1000 NAC 5_C ERROR:#REF! 1294586.758
ERROR:#REF! M 2021 1000 NAC 5_NC ERROR:#REF! 6594.492
ERROR:#REF! M 2021 1000 NAC 5_NC_T ERROR:#REF! 2668424.36
ERROR:#REF! M 2021 1000 NAC 6 ERROR:#REF! 2384009.739
ERROR:#REF! M 2021 1000 NAC 6_1 ERROR:#REF! 284414.621
ERROR:#REF! M 2021 1000 NAC 6_1_C ERROR:#REF! 60195.744
ERROR:#REF! M 2021 1000 NAC 6_1_NC ERROR:#REF! 12186.934
ERROR:#REF! M 2021 1000 NAC 6_1_NC_T ERROR:#REF! 1398.573
ERROR:#REF! M 2021 1000 NAC 6_2 ERROR:#REF! 10788.361
ERROR:#REF! M 2021 1000 NAC 6_2_C ERROR:#REF! 763.519
ERROR:#REF! M 2021 1000 NAC 6_2_NC ERROR:#REF! 1301096.2991
ERROR:#REF! M 2021 1000 NAC 6_2_NC_T ERROR:#REF! 585552.318
ERROR:#REF! M 2021 1000 NAC 6_3 ERROR:#REF! 146394.446
ERROR:#REF! M 2021 1000 NAC 6_3_1 ERROR:#REF! 439157.872
ERROR:#REF! M 2021 1000 NAC 6_4 ERROR:#REF! 109393.468
ERROR:#REF! M 2021 1000 NAC 6_4_1 ERROR:#REF! 302691.6431
ERROR:#REF! M 2021 1000 NAC 6_4_2 ERROR:#REF! 121054.3991
ERROR:#REF! M 2021 1000 NAC 6_4_3 ERROR:#REF! 412852.338
ERROR:#REF! M 2021 1000 NAC 7 ERROR:#REF! 66686.982
ERROR:#REF! M 2021 1000 NAC 7_1 ERROR:#REF! 321010.992
ERROR:#REF! M 2021 1000 NAC 7_2 ERROR:#REF! 25154.364
ERROR:#REF! M 2021 1000 NAC 7_3 ERROR:#REF! 345532.107
ERROR:#REF! M 2021 1000 NAC 7_3_1 ERROR:#REF! 6877.616
ERROR:#REF! M 2021 1000 NAC 7_3_2 ERROR:#REF! 303923.333
ERROR:#REF! M 2021 1000 NAC 7_3_3 ERROR:#REF! 300739.103
ERROR:#REF! M 2021 1000 NAC 7_3_4 ERROR:#REF! 296541.77
ERROR:#REF! M 2021 1000 NAC 7_4 ERROR:#REF! 3184.23
ERROR:#REF! M 2021 1000 NAC 8 ERROR:#REF! 34731.158
ERROR:#REF! M 2021 1000 NAC 8_1 ERROR:#REF! 50866.098
ERROR:#REF! M 2021 1000 NAC 8_2 ERROR:#REF! 45558.685
ERROR:#REF! M 2021 1000 NAC 9 ERROR:#REF! 5307.413
ERROR:#REF! M 2021 1000 NAC 10 ERROR:#REF! 26338.382
ERROR:#REF! M 2021 1000 NAC 10_1 ERROR:#REF! 2665677.044
ERROR:#REF! M 2021 1000 NAC 10_1_1 ERROR:#REF! 1014693.363
ERROR:#REF! M 2021 1000 NAC 10_1_2 ERROR:#REF! 107278.179
ERROR:#REF! M 2021 1000 NAC 10_1_3 ERROR:#REF! 92761.558
ERROR:#REF! M 2021 1000 NAC 10_1_4 ERROR:#REF! 375178.5
ERROR:#REF! M 2021 1000 NAC 10_2 ERROR:#REF! 439475.126
ERROR:#REF! M 2021 1000 NAC 10_3 ERROR:#REF! 301824.715
ERROR:#REF! M 2021 1000 NAC 10_3_1 ERROR:#REF! 1302922.243
ERROR:#REF! M 2021 1000 NAC 10_3_2 ERROR:#REF! 536743.39
ERROR:#REF! M 2021 1000 NAC 10_3_3 ERROR:#REF! 532805.619
ERROR:#REF! M 2021 1000 NAC 10_3_4 ERROR:#REF! 187056.966
ERROR:#REF! M 2021 1000 NAC 10_4 ERROR:#REF! 46316.268
ERROR:#REF! M 2022 1000 m3 1 ERROR:#REF! 1071.5853240333
ERROR:#REF! M 2022 1000 m3 1_1 ERROR:#REF! 278.4085903448
ERROR:#REF! M 2022 1000 m3 1_2 ERROR:#REF! 46.969782069
ERROR:#REF! M 2022 1000 m3 1_2_C ERROR:#REF! 231.4388082759
ERROR:#REF! M 2022 1000 m3 1_2_NC ERROR:#REF! 793.1767336885
ERROR:#REF! M 2022 1000 m3 1_2_NC_T ERROR:#REF! 748.31799328
ERROR:#REF! M 2022 1000 mt 2 ERROR:#REF! 44.8587404085
ERROR:#REF! M 2022 1000 m3 3 ERROR:#REF! 2.26178375
ERROR:#REF! M 2022 1000 m3 3_1 ERROR:#REF! 86.91064
ERROR:#REF! M 2022 1000 m3 3_2 ERROR:#REF! 95.82361824
ERROR:#REF! M 2022 1000 mt 4 ERROR:#REF! 59.75939116
ERROR:#REF! M 2022 1000 mt 4_1 ERROR:#REF! 36.06422708
ERROR:#REF! M 2022 1000 mt 4_2 ERROR:#REF! 18.72793628
ERROR:#REF! M 2022 1000 m3 5 ERROR:#REF! 7585.407576
ERROR:#REF! M 2022 1000 m3 5_C ERROR:#REF! 7515.693959
ERROR:#REF! M 2022 1000 m3 5_NC ERROR:#REF! 69.713617
ERROR:#REF! M 2022 1000 m3 5_NC_T ERROR:#REF! 6506.3613032381
ERROR:#REF! M 2022 1000 m3 6 ERROR:#REF! 5719.4541802782
ERROR:#REF! M 2022 1000 m3 6_1 ERROR:#REF! 786.9071229599
ERROR:#REF! M 2022 1000 m3 6_1_C ERROR:#REF! 93.70630841
ERROR:#REF! M 2022 1000 m3 6_1_NC ERROR:#REF! 6.6362273936
ERROR:#REF! M 2022 1000 m3 6_1_NC_T ERROR:#REF! 0.5009175532
ERROR:#REF! M 2022 1000 m3 6_2 ERROR:#REF! 6.1353098404
ERROR:#REF! M 2022 1000 m3 6_2_C ERROR:#REF! 0.50946581
ERROR:#REF! M 2022 1000 m3 6_2_NC ERROR:#REF! 3228.8308338938
ERROR:#REF! M 2022 1000 m3 6_2_NC_T ERROR:#REF! 1319.9539358769
ERROR:#REF! M 2022 1000 m3 6_3 ERROR:#REF! 349.7803664745
ERROR:#REF! M 2022 1000 m3 6_3_1 ERROR:#REF! 970.1735694024
ERROR:#REF! M 2022 1000 m3 6_4 ERROR:#REF! 167.2355109968
ERROR:#REF! M 2022 1000 m3 6_4_1 ERROR:#REF! 1013.5404428176
ERROR:#REF! M 2022 1000 m3 6_4_2 ERROR:#REF! 365.4082229152
ERROR:#REF! M 2022 1000 m3 6_4_3 ERROR:#REF! 895.3364551994
ERROR:#REF! M 2022 1000 mt 7 ERROR:#REF! 109.7815340426
ERROR:#REF! M 2022 1000 mt 7_1 ERROR:#REF! 738.9639442818
ERROR:#REF! M 2022 1000 mt 7_2 ERROR:#REF! 46.590976875
ERROR:#REF! M 2022 1000 mt 7_3 ERROR:#REF! 838.384293
ERROR:#REF! M 2022 1000 mt 7_3_1 ERROR:#REF! 17
ERROR:#REF! M 2022 1000 mt 7_3_2 ERROR:#REF! 774
ERROR:#REF! M 2022 1000 mt 7_3_3 ERROR:#REF! 762.580405
ERROR:#REF! M 2022 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 mt 7_4 ERROR:#REF! 2
ERROR:#REF! M 2022 1000 mt 8 ERROR:#REF! 47.384293
ERROR:#REF! M 2022 1000 mt 8_1 ERROR:#REF! 20.418218
ERROR:#REF! M 2022 1000 mt 8_2 ERROR:#REF! 15.310149
ERROR:#REF! M 2022 1000 mt 9 ERROR:#REF! 5.108069
ERROR:#REF! M 2022 1000 mt 10 ERROR:#REF! 168
ERROR:#REF! M 2022 1000 mt 10_1 ERROR:#REF! 5015
ERROR:#REF! M 2022 1000 mt 10_1_1 ERROR:#REF! 2028
ERROR:#REF! M 2022 1000 mt 10_1_2 ERROR:#REF! 382
ERROR:#REF! M 2022 1000 mt 10_1_3 ERROR:#REF! 238
ERROR:#REF! M 2022 1000 mt 10_1_4 ERROR:#REF! 693
ERROR:#REF! M 2022 1000 mt 10_2 ERROR:#REF! 715
ERROR:#REF! M 2022 1000 mt 10_3 ERROR:#REF! 543
ERROR:#REF! M 2022 1000 mt 10_3_1 ERROR:#REF! 2388
ERROR:#REF! M 2022 1000 mt 10_3_2 ERROR:#REF! 1241
ERROR:#REF! M 2022 1000 mt 10_3_3 ERROR:#REF! 752
ERROR:#REF! M 2022 1000 mt 10_3_4 ERROR:#REF! 225
ERROR:#REF! M 2022 1000 mt 10_4 ERROR:#REF! 170
ERROR:#REF! M 2022 1000 NAC 1 ERROR:#REF! 186143.834
ERROR:#REF! M 2022 1000 NAC 1_1 ERROR:#REF! 83936.762
ERROR:#REF! M 2022 1000 NAC 1_2 ERROR:#REF! 13168.559
ERROR:#REF! M 2022 1000 NAC 1_2_C ERROR:#REF! 70768.203
ERROR:#REF! M 2022 1000 NAC 1_2_NC ERROR:#REF! 102207.072
ERROR:#REF! M 2022 1000 NAC 1_2_NC_T ERROR:#REF! 93407.33
ERROR:#REF! M 2022 1000 NAC 2 ERROR:#REF! 8799.742
ERROR:#REF! M 2022 1000 NAC 3 ERROR:#REF! 1067.226
ERROR:#REF! M 2022 1000 NAC 3_1 ERROR:#REF! 52236.943
ERROR:#REF! M 2022 1000 NAC 3_2 ERROR:#REF! 11665.465
ERROR:#REF! M 2022 1000 NAC 4 ERROR:#REF! 3452.924
ERROR:#REF! M 2022 1000 NAC 4_1 ERROR:#REF! 8212.541
ERROR:#REF! M 2022 1000 NAC 4_2 ERROR:#REF! 4091.568
ERROR:#REF! M 2022 1000 NAC 5 ERROR:#REF! 1351594.008
ERROR:#REF! M 2022 1000 NAC 5_C ERROR:#REF! 1322763.932
ERROR:#REF! M 2022 1000 NAC 5_NC ERROR:#REF! 28830.076
ERROR:#REF! M 2022 1000 NAC 5_NC_T ERROR:#REF! 2345565.27057
ERROR:#REF! M 2022 1000 NAC 6 ERROR:#REF! 1902542.56557
ERROR:#REF! M 2022 1000 NAC 6_1 ERROR:#REF! 443022.705
ERROR:#REF! M 2022 1000 NAC 6_1_C ERROR:#REF! 88757.177
ERROR:#REF! M 2022 1000 NAC 6_1_NC ERROR:#REF! 33672.093
ERROR:#REF! M 2022 1000 NAC 6_1_NC_T ERROR:#REF! 2015.438
ERROR:#REF! M 2022 1000 NAC 6_2 ERROR:#REF! 31656.655
ERROR:#REF! M 2022 1000 NAC 6_2_C ERROR:#REF! 2523.851
ERROR:#REF! M 2022 1000 NAC 6_2_NC ERROR:#REF! 1515323.39936107
ERROR:#REF! M 2022 1000 NAC 6_2_NC_T ERROR:#REF! 669257.357
ERROR:#REF! M 2022 1000 NAC 6_3 ERROR:#REF! 143894.339
ERROR:#REF! M 2022 1000 NAC 6_3_1 ERROR:#REF! 525363.018
ERROR:#REF! M 2022 1000 NAC 6_4 ERROR:#REF! 117044.005
ERROR:#REF! M 2022 1000 NAC 6_4_1 ERROR:#REF! 345057.187361066
ERROR:#REF! M 2022 1000 NAC 6_4_2 ERROR:#REF! 117376.516361066
ERROR:#REF! M 2022 1000 NAC 6_4_3 ERROR:#REF! 501008.855
ERROR:#REF! M 2022 1000 NAC 7 ERROR:#REF! 91953.474
ERROR:#REF! M 2022 1000 NAC 7_1 ERROR:#REF! 393218.186
ERROR:#REF! M 2022 1000 NAC 7_2 ERROR:#REF! 15837.195
ERROR:#REF! M 2022 1000 NAC 7_3 ERROR:#REF! 537160.548
ERROR:#REF! M 2022 1000 NAC 7_3_1 ERROR:#REF! 8464.42
ERROR:#REF! M 2022 1000 NAC 7_3_2 ERROR:#REF! 488480.629
ERROR:#REF! M 2022 1000 NAC 7_3_3 ERROR:#REF! 477596.532
ERROR:#REF! M 2022 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 NAC 7_4 ERROR:#REF! 3820.39
ERROR:#REF! M 2022 1000 NAC 8 ERROR:#REF! 40215.499
ERROR:#REF! M 2022 1000 NAC 8_1 ERROR:#REF! 58526.151
ERROR:#REF! M 2022 1000 NAC 8_2 ERROR:#REF! 54289.597
ERROR:#REF! M 2022 1000 NAC 9 ERROR:#REF! 4236.554
ERROR:#REF! M 2022 1000 NAC 10 ERROR:#REF! 39095.628
ERROR:#REF! M 2022 1000 NAC 10_1 ERROR:#REF! 4573783.666
ERROR:#REF! M 2022 1000 NAC 10_1_1 ERROR:#REF! 1843716.542
ERROR:#REF! M 2022 1000 NAC 10_1_2 ERROR:#REF! 231966.651
ERROR:#REF! M 2022 1000 NAC 10_1_3 ERROR:#REF! 162153.772
ERROR:#REF! M 2022 1000 NAC 10_1_4 ERROR:#REF! 738311.445
ERROR:#REF! M 2022 1000 NAC 10_2 ERROR:#REF! 711284.674
ERROR:#REF! M 2022 1000 NAC 10_3 ERROR:#REF! 516003.106
ERROR:#REF! M 2022 1000 NAC 10_3_1 ERROR:#REF! 2145389.725
ERROR:#REF! M 2022 1000 NAC 10_3_2 ERROR:#REF! 842213.296
ERROR:#REF! M 2022 1000 NAC 10_3_3 ERROR:#REF! 880655.333
ERROR:#REF! M 2022 1000 NAC 10_3_4 ERROR:#REF! 356256.247
ERROR:#REF! M 2022 1000 NAC 10_4 ERROR:#REF! 66264.849
ERROR:#REF! X 2021 1000 m3 1 ERROR:#REF! 184.65937334
ERROR:#REF! X 2021 1000 m3 1_1 ERROR:#REF! 15.42902039
ERROR:#REF! X 2021 1000 m3 1_2 ERROR:#REF! 15.15982039
ERROR:#REF! X 2021 1000 m3 1_2_C ERROR:#REF! 0.2692
ERROR:#REF! X 2021 1000 m3 1_2_NC ERROR:#REF! 169.23035295
ERROR:#REF! X 2021 1000 m3 1_2_NC_T ERROR:#REF! 164.8320192
ERROR:#REF! X 2021 1000 mt 2 ERROR:#REF! 4.39833375
ERROR:#REF! X 2021 1000 m3 3 ERROR:#REF! 0.03245875
ERROR:#REF! X 2021 1000 m3 3_1 ERROR:#REF! 3.119786
ERROR:#REF! X 2021 1000 m3 3_2 ERROR:#REF! 77.13640416
ERROR:#REF! X 2021 1000 mt 4 ERROR:#REF! 75.51996
ERROR:#REF! X 2021 1000 mt 4_1 ERROR:#REF! 1.61644416
ERROR:#REF! X 2021 1000 mt 4_2 ERROR:#REF! 5.00619768
ERROR:#REF! X 2021 1000 m3 5 ERROR:#REF! 12.789769
ERROR:#REF! X 2021 1000 m3 5_C ERROR:#REF! 1.627909
ERROR:#REF! X 2021 1000 m3 5_NC ERROR:#REF! 11.16186
ERROR:#REF! X 2021 1000 m3 5_NC_T ERROR:#REF! 276.57659198
ERROR:#REF! X 2021 1000 m3 6 ERROR:#REF! 237.3755191
ERROR:#REF! X 2021 1000 m3 6_1 ERROR:#REF! 39.20107288
ERROR:#REF! X 2021 1000 m3 6_1_C ERROR:#REF! 3.153793651
ERROR:#REF! X 2021 1000 m3 6_1_NC ERROR:#REF! 0.378327532
ERROR:#REF! X 2021 1000 m3 6_1_NC_T ERROR:#REF! 0.047902
ERROR:#REF! X 2021 1000 m3 6_2 ERROR:#REF! 0.330425532
ERROR:#REF! X 2021 1000 m3 6_2_C ERROR:#REF! 0.035555851
ERROR:#REF! X 2021 1000 m3 6_2_NC ERROR:#REF! 321.036110253
ERROR:#REF! X 2021 1000 m3 6_2_NC_T ERROR:#REF! 54.55172436
ERROR:#REF! X 2021 1000 m3 6_3 ERROR:#REF! 9.843804
ERROR:#REF! X 2021 1000 m3 6_3_1 ERROR:#REF! 44.70792036
ERROR:#REF! X 2021 1000 m3 6_4 ERROR:#REF! 31.27745
ERROR:#REF! X 2021 1000 m3 6_4_1 ERROR:#REF! 194.9852788
ERROR:#REF! X 2021 1000 m3 6_4_2 ERROR:#REF! 132.9797109
ERROR:#REF! X 2021 1000 m3 6_4_3 ERROR:#REF! 71.499107093
ERROR:#REF! X 2021 1000 mt 7 ERROR:#REF! 10.51749149
ERROR:#REF! X 2021 1000 mt 7_1 ERROR:#REF! 54.41145654
ERROR:#REF! X 2021 1000 mt 7_2 ERROR:#REF! 6.570159063
ERROR:#REF! X 2021 1000 mt 7_3 ERROR:#REF! 2.303856
ERROR:#REF! X 2021 1000 mt 7_3_1 ERROR:#REF! 0.171
ERROR:#REF! X 2021 1000 mt 7_3_2 ERROR:#REF! 2.132
ERROR:#REF! X 2021 1000 mt 7_3_3 ERROR:#REF! 2.121
ERROR:#REF! X 2021 1000 mt 7_3_4 ERROR:#REF! 2.108212
ERROR:#REF! X 2021 1000 mt 7_4 ERROR:#REF! 0.011
ERROR:#REF! X 2021 1000 mt 8 ERROR:#REF! 0.000856
ERROR:#REF! X 2021 1000 mt 8_1 ERROR:#REF! 2.852871
ERROR:#REF! X 2021 1000 mt 8_2 ERROR:#REF! 0.334595
ERROR:#REF! X 2021 1000 mt 9 ERROR:#REF! 2.518276
ERROR:#REF! X 2021 1000 mt 10 ERROR:#REF! 4298.624
ERROR:#REF! X 2021 1000 mt 10_1 ERROR:#REF! 1047.785224
ERROR:#REF! X 2021 1000 mt 10_1_1 ERROR:#REF! 450.36358
ERROR:#REF! X 2021 1000 mt 10_1_2 ERROR:#REF! 304.965143
ERROR:#REF! X 2021 1000 mt 10_1_3 ERROR:#REF! 8.900628
ERROR:#REF! X 2021 1000 mt 10_1_4 ERROR:#REF! 58.497809
ERROR:#REF! X 2021 1000 mt 10_2 ERROR:#REF! 78
ERROR:#REF! X 2021 1000 mt 10_3 ERROR:#REF! 101
ERROR:#REF! X 2021 1000 mt 10_3_1 ERROR:#REF! 456.421644
ERROR:#REF! X 2021 1000 mt 10_3_2 ERROR:#REF! 129.16777
ERROR:#REF! X 2021 1000 mt 10_3_3 ERROR:#REF! 233.674724
ERROR:#REF! X 2021 1000 mt 10_3_4 ERROR:#REF! 46.706652
ERROR:#REF! X 2021 1000 mt 10_4 ERROR:#REF! 46.872498
ERROR:#REF! X 2021 1000 NAC 1 ERROR:#REF! 32511.186
ERROR:#REF! X 2021 1000 NAC 1_1 ERROR:#REF! 2686.436
ERROR:#REF! X 2021 1000 NAC 1_2 ERROR:#REF! 2488.283
ERROR:#REF! X 2021 1000 NAC 1_2_C ERROR:#REF! 198.153
ERROR:#REF! X 2021 1000 NAC 1_2_NC ERROR:#REF! 29824.75
ERROR:#REF! X 2021 1000 NAC 1_2_NC_T ERROR:#REF! 27700.437
ERROR:#REF! X 2021 1000 NAC 2 ERROR:#REF! 2124.313
ERROR:#REF! X 2021 1000 NAC 3 ERROR:#REF! 49.591
ERROR:#REF! X 2021 1000 NAC 3_1 ERROR:#REF! 2185.829
ERROR:#REF! X 2021 1000 NAC 3_2 ERROR:#REF! 7724.14
ERROR:#REF! X 2021 1000 NAC 4 ERROR:#REF! 7425.635
ERROR:#REF! X 2021 1000 NAC 4_1 ERROR:#REF! 298.505
ERROR:#REF! X 2021 1000 NAC 4_2 ERROR:#REF! 198.909
ERROR:#REF! X 2021 1000 NAC 5 ERROR:#REF! 2057.037
ERROR:#REF! X 2021 1000 NAC 5_C ERROR:#REF! 420.361
ERROR:#REF! X 2021 1000 NAC 5_NC ERROR:#REF! 1636.676
ERROR:#REF! X 2021 1000 NAC 5_NC_T ERROR:#REF! 96144.765
ERROR:#REF! X 2021 1000 NAC 6 ERROR:#REF! 75196.213
ERROR:#REF! X 2021 1000 NAC 6_1 ERROR:#REF! 20948.552
ERROR:#REF! X 2021 1000 NAC 6_1_C ERROR:#REF! 3381.486
ERROR:#REF! X 2021 1000 NAC 6_1_NC ERROR:#REF! 3329.648
ERROR:#REF! X 2021 1000 NAC 6_1_NC_T ERROR:#REF! 744.259
ERROR:#REF! X 2021 1000 NAC 6_2 ERROR:#REF! 2585.389
ERROR:#REF! X 2021 1000 NAC 6_2_C ERROR:#REF! 305.041
ERROR:#REF! X 2021 1000 NAC 6_2_NC ERROR:#REF! 154232.106
ERROR:#REF! X 2021 1000 NAC 6_2_NC_T ERROR:#REF! 37301.91
ERROR:#REF! X 2021 1000 NAC 6_3 ERROR:#REF! 4808.05
ERROR:#REF! X 2021 1000 NAC 6_3_1 ERROR:#REF! 32493.86
ERROR:#REF! X 2021 1000 NAC 6_4 ERROR:#REF! 17703.559
ERROR:#REF! X 2021 1000 NAC 6_4_1 ERROR:#REF! 83106.714
ERROR:#REF! X 2021 1000 NAC 6_4_2 ERROR:#REF! 58690.203
ERROR:#REF! X 2021 1000 NAC 6_4_3 ERROR:#REF! 33823.482
ERROR:#REF! X 2021 1000 NAC 7 ERROR:#REF! 5299.072
ERROR:#REF! X 2021 1000 NAC 7_1 ERROR:#REF! 22979.432
ERROR:#REF! X 2021 1000 NAC 7_2 ERROR:#REF! 5544.978
ERROR:#REF! X 2021 1000 NAC 7_3 ERROR:#REF! 1243.531
ERROR:#REF! X 2021 1000 NAC 7_3_1 ERROR:#REF! 255.35
ERROR:#REF! X 2021 1000 NAC 7_3_2 ERROR:#REF! 975.4
ERROR:#REF! X 2021 1000 NAC 7_3_3 ERROR:#REF! 932.043
ERROR:#REF! X 2021 1000 NAC 7_3_4 ERROR:#REF! 930.621
ERROR:#REF! X 2021 1000 NAC 7_4 ERROR:#REF! 43.357
ERROR:#REF! X 2021 1000 NAC 8 ERROR:#REF! 12.781
ERROR:#REF! X 2021 1000 NAC 8_1 ERROR:#REF! 2058.711
ERROR:#REF! X 2021 1000 NAC 8_2 ERROR:#REF! 960.083
ERROR:#REF! X 2021 1000 NAC 9 ERROR:#REF! 1098.628
ERROR:#REF! X 2021 1000 NAC 10 ERROR:#REF! 731138.719
ERROR:#REF! X 2021 1000 NAC 10_1 ERROR:#REF! 939585.866
ERROR:#REF! X 2021 1000 NAC 10_1_1 ERROR:#REF! 394287.459
ERROR:#REF! X 2021 1000 NAC 10_1_2 ERROR:#REF! 121290.122
ERROR:#REF! X 2021 1000 NAC 10_1_3 ERROR:#REF! 43686.061
ERROR:#REF! X 2021 1000 NAC 10_1_4 ERROR:#REF! 170509.138
ERROR:#REF! X 2021 1000 NAC 10_2 ERROR:#REF! 58802.138
ERROR:#REF! X 2021 1000 NAC 10_3 ERROR:#REF! 39091.723
ERROR:#REF! X 2021 1000 NAC 10_3_1 ERROR:#REF! 416805.178
ERROR:#REF! X 2021 1000 NAC 10_3_2 ERROR:#REF! 64991.451
ERROR:#REF! X 2021 1000 NAC 10_3_3 ERROR:#REF! 214204.191
ERROR:#REF! X 2021 1000 NAC 10_3_4 ERROR:#REF! 115341.41
ERROR:#REF! X 2021 1000 NAC 10_4 ERROR:#REF! 22268.126
ERROR:#REF! X 2022 1000 m3 1 ERROR:#REF! 156.3207330333
ERROR:#REF! X 2022 1000 m3 1_1 ERROR:#REF! 14.5094868966
ERROR:#REF! X 2022 1000 m3 1_2 ERROR:#REF! 4.9691765517
ERROR:#REF! X 2022 1000 m3 1_2_C ERROR:#REF! 9.5403103448
ERROR:#REF! X 2022 1000 m3 1_2_NC ERROR:#REF! 141.8112461368
ERROR:#REF! X 2022 1000 m3 1_2_NC_T ERROR:#REF! 129.72767956
ERROR:#REF! X 2022 1000 mt 2 ERROR:#REF! 12.0835665768
ERROR:#REF! X 2022 1000 m3 3 ERROR:#REF! 3.13384625
ERROR:#REF! X 2022 1000 m3 3_1 ERROR:#REF! 2.298526
ERROR:#REF! X 2022 1000 m3 3_2 ERROR:#REF! 69.3125736239
ERROR:#REF! X 2022 1000 mt 4 ERROR:#REF! 61.1832
ERROR:#REF! X 2022 1000 mt 4_1 ERROR:#REF! 8.1293736239
ERROR:#REF! X 2022 1000 mt 4_2 ERROR:#REF! 18.78293012
ERROR:#REF! X 2022 1000 m3 5 ERROR:#REF! 43.618492
ERROR:#REF! X 2022 1000 m3 5_C ERROR:#REF! 22.816327
ERROR:#REF! X 2022 1000 m3 5_NC ERROR:#REF! 20.802165
ERROR:#REF! X 2022 1000 m3 5_NC_T ERROR:#REF! 181.5429147177
ERROR:#REF! X 2022 1000 m3 6 ERROR:#REF! 164.987493448
ERROR:#REF! X 2022 1000 m3 6_1 ERROR:#REF! 16.5554212697
ERROR:#REF! X 2022 1000 m3 6_1_C ERROR:#REF! 2.7554738406
ERROR:#REF! X 2022 1000 m3 6_1_NC ERROR:#REF! 0.6651
ERROR:#REF! X 2022 1000 m3 6_1_NC_T ERROR:#REF! 0.2393
ERROR:#REF! X 2022 1000 m3 6_2 ERROR:#REF! 0.4258
ERROR:#REF! X 2022 1000 m3 6_2_C ERROR:#REF! 0.01362984
ERROR:#REF! X 2022 1000 m3 6_2_NC ERROR:#REF! 369.9936792488
ERROR:#REF! X 2022 1000 m3 6_2_NC_T ERROR:#REF! 65.6011743156
ERROR:#REF! X 2022 1000 m3 6_3 ERROR:#REF! 10.6509989899
ERROR:#REF! X 2022 1000 m3 6_3_1 ERROR:#REF! 54.9501753258
ERROR:#REF! X 2022 1000 m3 6_4 ERROR:#REF! 36.68536318
ERROR:#REF! X 2022 1000 m3 6_4_1 ERROR:#REF! 244.6268437996
ERROR:#REF! X 2022 1000 m3 6_4_2 ERROR:#REF! 189.6719542152
ERROR:#REF! X 2022 1000 m3 6_4_3 ERROR:#REF! 59.7656611337
ERROR:#REF! X 2022 1000 mt 7 ERROR:#REF! 8.6520319149
ERROR:#REF! X 2022 1000 mt 7_1 ERROR:#REF! 42.0405589063
ERROR:#REF! X 2022 1000 mt 7_2 ERROR:#REF! 9.0730703125
ERROR:#REF! X 2022 1000 mt 7_3 ERROR:#REF! 1.463933
ERROR:#REF! X 2022 1000 mt 7_3_1 ERROR:#REF! 0.410593
ERROR:#REF! X 2022 1000 mt 7_3_2 ERROR:#REF! 1.031022
ERROR:#REF! X 2022 1000 mt 7_3_3 ERROR:#REF! 1
ERROR:#REF! X 2022 1000 mt 7_3_4 ERROR:#REF! 1
ERROR:#REF! X 2022 1000 mt 7_4 ERROR:#REF! 0.031022
ERROR:#REF! X 2022 1000 mt 8 ERROR:#REF! 0.022318
ERROR:#REF! X 2022 1000 mt 8_1 ERROR:#REF! 5.187455
ERROR:#REF! X 2022 1000 mt 8_2 ERROR:#REF! 0.430984
ERROR:#REF! X 2022 1000 mt 9 ERROR:#REF! 4.756471
ERROR:#REF! X 2022 1000 mt 10 ERROR:#REF! 4082
ERROR:#REF! X 2022 1000 mt 10_1 ERROR:#REF! 1055
ERROR:#REF! X 2022 1000 mt 10_1_1 ERROR:#REF! 404
ERROR:#REF! X 2022 1000 mt 10_1_2 ERROR:#REF! 269
ERROR:#REF! X 2022 1000 mt 10_1_3 ERROR:#REF! 10
ERROR:#REF! X 2022 1000 mt 10_1_4 ERROR:#REF! 45
ERROR:#REF! X 2022 1000 mt 10_2 ERROR:#REF! 80
ERROR:#REF! X 2022 1000 mt 10_3 ERROR:#REF! 115
ERROR:#REF! X 2022 1000 mt 10_3_1 ERROR:#REF! 498
ERROR:#REF! X 2022 1000 mt 10_3_2 ERROR:#REF! 180
ERROR:#REF! X 2022 1000 mt 10_3_3 ERROR:#REF! 231
ERROR:#REF! X 2022 1000 mt 10_3_4 ERROR:#REF! 47
ERROR:#REF! X 2022 1000 mt 10_4 ERROR:#REF! 40
ERROR:#REF! X 2022 1000 NAC 1 ERROR:#REF! 30403.594
ERROR:#REF! X 2022 1000 NAC 1_1 ERROR:#REF! 2686.655
ERROR:#REF! X 2022 1000 NAC 1_2 ERROR:#REF! 1451.233
ERROR:#REF! X 2022 1000 NAC 1_2_C ERROR:#REF! 1235.422
ERROR:#REF! X 2022 1000 NAC 1_2_NC ERROR:#REF! 27716.939
ERROR:#REF! X 2022 1000 NAC 1_2_NC_T ERROR:#REF! 25939.548
ERROR:#REF! X 2022 1000 NAC 2 ERROR:#REF! 1777.391
ERROR:#REF! X 2022 1000 NAC 3 ERROR:#REF! 495.361
ERROR:#REF! X 2022 1000 NAC 3_1 ERROR:#REF! 1873.717
ERROR:#REF! X 2022 1000 NAC 3_2 ERROR:#REF! 10770.898
ERROR:#REF! X 2022 1000 NAC 4 ERROR:#REF! 9743.63
ERROR:#REF! X 2022 1000 NAC 4_1 ERROR:#REF! 1027.268
ERROR:#REF! X 2022 1000 NAC 4_2 ERROR:#REF! 202.523
ERROR:#REF! X 2022 1000 NAC 5 ERROR:#REF! 13276.55
ERROR:#REF! X 2022 1000 NAC 5_C ERROR:#REF! 12008.768
ERROR:#REF! X 2022 1000 NAC 5_NC ERROR:#REF! 1267.782
ERROR:#REF! X 2022 1000 NAC 5_NC_T ERROR:#REF! 84523.828
ERROR:#REF! X 2022 1000 NAC 6 ERROR:#REF! 61825.424
ERROR:#REF! X 2022 1000 NAC 6_1 ERROR:#REF! 22698.404
ERROR:#REF! X 2022 1000 NAC 6_1_C ERROR:#REF! 2916.32
ERROR:#REF! X 2022 1000 NAC 6_1_NC ERROR:#REF! 5003.892
ERROR:#REF! X 2022 1000 NAC 6_1_NC_T ERROR:#REF! 740.101
ERROR:#REF! X 2022 1000 NAC 6_2 ERROR:#REF! 4263.791
ERROR:#REF! X 2022 1000 NAC 6_2_C ERROR:#REF! 96.919
ERROR:#REF! X 2022 1000 NAC 6_2_NC ERROR:#REF! 166447.987192461
ERROR:#REF! X 2022 1000 NAC 6_2_NC_T ERROR:#REF! 39599.617
ERROR:#REF! X 2022 1000 NAC 6_3 ERROR:#REF! 5470.452
ERROR:#REF! X 2022 1000 NAC 6_3_1 ERROR:#REF! 34129.165
ERROR:#REF! X 2022 1000 NAC 6_4 ERROR:#REF! 24042.35
ERROR:#REF! X 2022 1000 NAC 6_4_1 ERROR:#REF! 87381.4501924607
ERROR:#REF! X 2022 1000 NAC 6_4_2 ERROR:#REF! 61620.0651924607
ERROR:#REF! X 2022 1000 NAC 6_4_3 ERROR:#REF! 39466.92
ERROR:#REF! X 2022 1000 NAC 7 ERROR:#REF! 6548.612
ERROR:#REF! X 2022 1000 NAC 7_1 ERROR:#REF! 24171.061
ERROR:#REF! X 2022 1000 NAC 7_2 ERROR:#REF! 8747.247
ERROR:#REF! X 2022 1000 NAC 7_3 ERROR:#REF! 899.914
ERROR:#REF! X 2022 1000 NAC 7_3_1 ERROR:#REF! 136.033
ERROR:#REF! X 2022 1000 NAC 7_3_2 ERROR:#REF! 731.434
ERROR:#REF! X 2022 1000 NAC 7_3_3 ERROR:#REF! 667.484
ERROR:#REF! X 2022 1000 NAC 7_3_4 ERROR:#REF! 667.484
ERROR:#REF! X 2022 1000 NAC 7_4 ERROR:#REF! 63.95
ERROR:#REF! X 2022 1000 NAC 8 ERROR:#REF! 32.447
ERROR:#REF! X 2022 1000 NAC 8_1 ERROR:#REF! 2778.061
ERROR:#REF! X 2022 1000 NAC 8_2 ERROR:#REF! 1301.866
ERROR:#REF! X 2022 1000 NAC 9 ERROR:#REF! 1476.195
ERROR:#REF! X 2022 1000 NAC 10 ERROR:#REF! 748883.486
ERROR:#REF! X 2022 1000 NAC 10_1 ERROR:#REF! 1170902.718
ERROR:#REF! X 2022 1000 NAC 10_1_1 ERROR:#REF! 495975.536
ERROR:#REF! X 2022 1000 NAC 10_1_2 ERROR:#REF! 197005.666
ERROR:#REF! X 2022 1000 NAC 10_1_3 ERROR:#REF! 53339.757
ERROR:#REF! X 2022 1000 NAC 10_1_4 ERROR:#REF! 164446.109
ERROR:#REF! X 2022 1000 NAC 10_2 ERROR:#REF! 81184.004
ERROR:#REF! X 2022 1000 NAC 10_3 ERROR:#REF! 51587.397
ERROR:#REF! X 2022 1000 NAC 10_3_1 ERROR:#REF! 533157.906
ERROR:#REF! X 2022 1000 NAC 10_3_2 ERROR:#REF! 112464.498
ERROR:#REF! X 2022 1000 NAC 10_3_3 ERROR:#REF! 247999.036
ERROR:#REF! X 2022 1000 NAC 10_3_4 ERROR:#REF! 146582.062
ERROR:#REF! X 2022 1000 NAC 10_4 ERROR:#REF! 26112.31
ERROR:#REF! M 0 1000 NAC 11_1 ERROR:#REF! 50799.148 JQ3
ERROR:#REF! M 0 1000 NAC 11_1_C ERROR:#REF! 93952.108
ERROR:#REF! M 0 1000 NAC 11_1_NC ERROR:#REF! 9242.094
ERROR:#REF! M 0 1000 NAC 11_1_NC_T ERROR:#REF! 177996.105
ERROR:#REF! M 0 1000 NAC 11_2 ERROR:#REF! 175370.518
ERROR:#REF! M 0 1000 NAC 11_3 ERROR:#REF! 812048.086
ERROR:#REF! M 0 1000 NAC 11_4 ERROR:#REF! 3728284.887
ERROR:#REF! M 0 1000 NAC 11_5 ERROR:#REF! 60833.12
ERROR:#REF! M 0 1000 NAC 11_6 ERROR:#REF! 318949.26
ERROR:#REF! M 0 1000 NAC 11_7 ERROR:#REF! 0
ERROR:#REF! M 0 1000 NAC 11_7_1 ERROR:#REF! 36193.583
ERROR:#REF! M 0 1000 NAC 12_1 ERROR:#REF! 43548.869
ERROR:#REF! M 0 1000 NAC 12_2 ERROR:#REF! 756134.492
ERROR:#REF! M 0 1000 NAC 12_3 ERROR:#REF! 667084.588
ERROR:#REF! M 0 1000 NAC 12_4 ERROR:#REF! 21154.668
ERROR:#REF! M 0 1000 NAC 12_5 ERROR:#REF! 28975.286
ERROR:#REF! M 0 1000 NAC 12_6 ERROR:#REF! 17540.789
ERROR:#REF! M 0 1000 NAC 12_6_1 ERROR:#REF! 0
ERROR:#REF! M 0 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 0 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 0 1000 NAC 11_1 ERROR:#REF! 81938.395
ERROR:#REF! M 0 1000 NAC 11_1_C ERROR:#REF! 133750.266
ERROR:#REF! M 0 1000 NAC 11_1_NC ERROR:#REF! 14858.404
ERROR:#REF! M 0 1000 NAC 11_1_NC_T ERROR:#REF! 281072.145
ERROR:#REF! M 0 1000 NAC 11_2 ERROR:#REF! 190076.229
ERROR:#REF! M 0 1000 NAC 11_3 ERROR:#REF! 996889.721
ERROR:#REF! M 0 1000 NAC 11_4 ERROR:#REF! 4696632.967
ERROR:#REF! M 0 1000 NAC 11_5 ERROR:#REF! 322858.672
ERROR:#REF! M 0 1000 NAC 11_6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 0 1000 NAC 11_7 ERROR:#REF! 0
ERROR:#REF! M 0 1000 NAC 11_7_1 ERROR:#REF! 68048.718
ERROR:#REF! M 0 1000 NAC 12_1 ERROR:#REF! 401288.245
ERROR:#REF! M 0 1000 NAC 12_2 ERROR:#REF! 1126355.57
ERROR:#REF! M 0 1000 NAC 12_3 ERROR:#REF! 927706.359
ERROR:#REF! M 0 1000 NAC 12_4 ERROR:#REF! 16772.07
ERROR:#REF! M 0 1000 NAC 12_5 ERROR:#REF! 65368.879
ERROR:#REF! M 0 1000 NAC 12_6 ERROR:#REF! 25952.627
ERROR:#REF! M 0 1000 NAC 12_6_1 ERROR:#REF! 0
ERROR:#REF! M 0 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 0 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 0 1000 NAC 11_1 ERROR:#REF! 20725.529
ERROR:#REF! X 0 1000 NAC 11_1_C ERROR:#REF! 8972.625
ERROR:#REF! X 0 1000 NAC 11_1_NC ERROR:#REF! 965.187
ERROR:#REF! X 0 1000 NAC 11_1_NC_T ERROR:#REF! 150347.702
ERROR:#REF! X 0 1000 NAC 11_2 ERROR:#REF! 24111.817
ERROR:#REF! X 0 1000 NAC 11_3 ERROR:#REF! 77112.638
ERROR:#REF! X 0 1000 NAC 11_4 ERROR:#REF! 404648.392
ERROR:#REF! X 0 1000 NAC 11_5 ERROR:#REF! 19445.675
ERROR:#REF! X 0 1000 NAC 11_6 ERROR:#REF! 42164.102
ERROR:#REF! X 0 1000 NAC 11_7 ERROR:#REF! 0
ERROR:#REF! X 0 1000 NAC 11_7_1 ERROR:#REF! 8920.389
ERROR:#REF! X 0 1000 NAC 12_1 ERROR:#REF! 12430.071
ERROR:#REF! X 0 1000 NAC 12_2 ERROR:#REF! 342301.253
ERROR:#REF! X 0 1000 NAC 12_3 ERROR:#REF! 439363.702
ERROR:#REF! X 0 1000 NAC 12_4 ERROR:#REF! 2846.385
ERROR:#REF! X 0 1000 NAC 12_5 ERROR:#REF! 19152.014
ERROR:#REF! X 0 1000 NAC 12_6 ERROR:#REF! 79184.436
ERROR:#REF! X 0 1000 NAC 12_6_1 ERROR:#REF! 0
ERROR:#REF! X 0 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 0 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 0 1000 NAC 11_1 ERROR:#REF! 17690
ERROR:#REF! X 0 1000 NAC 11_1_C ERROR:#REF! 10885.493
ERROR:#REF! X 0 1000 NAC 11_1_NC ERROR:#REF! 1481.261
ERROR:#REF! X 0 1000 NAC 11_1_NC_T ERROR:#REF! 189266.068
ERROR:#REF! X 0 1000 NAC 11_2 ERROR:#REF! 25588.372
ERROR:#REF! X 0 1000 NAC 11_3 ERROR:#REF! 64768.436
ERROR:#REF! X 0 1000 NAC 11_4 ERROR:#REF! 542795.159
ERROR:#REF! X 0 1000 NAC 11_5 ERROR:#REF! 30175.53
ERROR:#REF! X 0 1000 NAC 11_6 ERROR:#REF! 35441.804
ERROR:#REF! X 0 1000 NAC 11_7 ERROR:#REF! 0
ERROR:#REF! X 0 1000 NAC 11_7_1 ERROR:#REF! 11363.743
ERROR:#REF! X 0 1000 NAC 12_1 ERROR:#REF! 229294.81
ERROR:#REF! X 0 1000 NAC 12_2 ERROR:#REF! 407831.611
ERROR:#REF! X 0 1000 NAC 12_3 ERROR:#REF! 485729.139
ERROR:#REF! X 0 1000 NAC 12_4 ERROR:#REF! 5390.368
ERROR:#REF! X 0 1000 NAC 12_5 ERROR:#REF! 18681.35
ERROR:#REF! X 0 1000 NAC 12_6 ERROR:#REF! 97746.054
ERROR:#REF! X 0 1000 NAC 12_6_1 ERROR:#REF! 0
ERROR:#REF! X 0 1000 NAC 12_6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 0 1000 NAC 12_6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 ST_1_2_C ERROR:#REF! 572.00720434 ECEEU
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_1 ERROR:#REF! 30.70472834
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_1_1 ERROR:#REF! 0.01440725
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_2_1 ERROR:#REF! 30.69032109
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_2 ERROR:#REF! 463.16982569
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_1_2 ERROR:#REF! 359.4465303
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_2_2 ERROR:#REF! 103.72329539
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC ERROR:#REF! 67.3688325
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_1 ERROR:#REF! 4.6542225
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! 45.85974875
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! 45.85974875
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! 0.30759625
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_3 ERROR:#REF! 0.30948
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! 7623.372691
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! 2416.307056
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_4 ERROR:#REF! 4221.945
ERROR:#REF! M 2021 1000 m3 ST_1_2_NC_5 ERROR:#REF! 535.6031985
ERROR:#REF! M 2021 1000 m3 ST_5_C ERROR:#REF! 162.3259986
ERROR:#REF! M 2021 1000 m3 ST_5_C_1 ERROR:#REF! 20.57198098
ERROR:#REF! M 2021 1000 m3 ST_5_C_2 ERROR:#REF! 4.701429198
ERROR:#REF! M 2021 1000 m3 ST_5_NC ERROR:#REF! 0.832685249
ERROR:#REF! M 2021 1000 m3 ST_5_NC_1 ERROR:#REF! 11.67797902
ERROR:#REF! M 2021 1000 m3 ST_5_NC_2 ERROR:#REF! 32.72466098
ERROR:#REF! M 2021 1000 m3 ST_5_NC_3 ERROR:#REF! 27.54462397
ERROR:#REF! M 2021 1000 m3 ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 NAC ST_1_2_C ERROR:#REF! 75842.406
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_1 ERROR:#REF! 8738.64
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_1_1 ERROR:#REF! 43.092
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_2_1 ERROR:#REF! 8695.548
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_2 ERROR:#REF! 53606.797
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_1_2 ERROR:#REF! 19305.717
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_2_2 ERROR:#REF! 34301.08
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC ERROR:#REF! 11897.439
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_1 ERROR:#REF! 1951.079
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! 3300.19
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! 3300.19
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! 49.93
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_3 ERROR:#REF! 39.399
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! 2384009.739
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! 744346.336
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_4 ERROR:#REF! 1322089.356
ERROR:#REF! M 2021 1000 NAC ST_1_2_NC_5 ERROR:#REF! 284414.621
ERROR:#REF! M 2021 1000 NAC ST_5_C ERROR:#REF! 148483.306
ERROR:#REF! M 2021 1000 NAC ST_5_C_1 ERROR:#REF! 8326.959
ERROR:#REF! M 2021 1000 NAC ST_5_C_2 ERROR:#REF! 4625.098
ERROR:#REF! M 2021 1000 NAC ST_5_NC ERROR:#REF! 709.455
ERROR:#REF! M 2021 1000 NAC ST_5_NC_1 ERROR:#REF! 8515.245
ERROR:#REF! M 2021 1000 NAC ST_5_NC_2 ERROR:#REF! 9756.686
ERROR:#REF! M 2021 1000 NAC ST_5_NC_3 ERROR:#REF! 14893.397
ERROR:#REF! M 2021 1000 NAC ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! M 2021 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 m3 ST_1_2_C ERROR:#REF! 748.31799328
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_1 ERROR:#REF! 32.56864897
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_1_1 ERROR:#REF! 0.1097811
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_2_1 ERROR:#REF! 32.45886787
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_2 ERROR:#REF! 528.07094483
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_1_2 ERROR:#REF! 456.74293093
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_2_2 ERROR:#REF! 71.3280139
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC ERROR:#REF! 44.8587404085
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_1 ERROR:#REF! 19.525
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! 0.415
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! 15.976
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! 15.976
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! 0.016
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_3 ERROR:#REF! 0.14
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! 5719.4541802782
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! 1470.557
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_4 ERROR:#REF! 3469.732
ERROR:#REF! M 2022 1000 m3 ST_1_2_NC_5 ERROR:#REF! 786.9071229599
ERROR:#REF! M 2022 1000 m3 ST_5_C ERROR:#REF! 203.95
ERROR:#REF! M 2022 1000 m3 ST_5_C_1 ERROR:#REF! 22.264
ERROR:#REF! M 2022 1000 m3 ST_5_C_2 ERROR:#REF! 4.434
ERROR:#REF! M 2022 1000 m3 ST_5_NC ERROR:#REF! 0.454
ERROR:#REF! M 2022 1000 m3 ST_5_NC_1 ERROR:#REF! 15.566
ERROR:#REF! M 2022 1000 m3 ST_5_NC_2 ERROR:#REF! 42.819
ERROR:#REF! M 2022 1000 m3 ST_5_NC_3 ERROR:#REF! 20.576
ERROR:#REF! M 2022 1000 m3 ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 NAC ST_1_2_C ERROR:#REF! 93407.33
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_1 ERROR:#REF! 8383.569
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_1_1 ERROR:#REF! 125.056
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_2_1 ERROR:#REF! 8258.513
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_2 ERROR:#REF! 25171.173
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_1_2 ERROR:#REF! 21344.957
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_2_2 ERROR:#REF! 3826.216
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC ERROR:#REF! 8799.742
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_1 ERROR:#REF! 5276.623
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! 99.675
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! 874.038
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! 874.038
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! 8.297
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_3 ERROR:#REF! 168.376
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! 1902542.56557
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! 515269.41
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_4 ERROR:#REF! 1246638.95
ERROR:#REF! M 2022 1000 NAC ST_1_2_NC_5 ERROR:#REF! 443022.705
ERROR:#REF! M 2022 1000 NAC ST_5_C ERROR:#REF! 194185.092
ERROR:#REF! M 2022 1000 NAC ST_5_C_1 ERROR:#REF! 13526.993
ERROR:#REF! M 2022 1000 NAC ST_5_C_2 ERROR:#REF! 5416.624
ERROR:#REF! M 2022 1000 NAC ST_5_NC ERROR:#REF! 530.95
ERROR:#REF! M 2022 1000 NAC ST_5_NC_1 ERROR:#REF! 12502.824
ERROR:#REF! M 2022 1000 NAC ST_5_NC_2 ERROR:#REF! 19460.783
ERROR:#REF! M 2022 1000 NAC ST_5_NC_3 ERROR:#REF! 15960.775
ERROR:#REF! M 2022 1000 NAC ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! M 2022 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 m3 ST_1_2_C ERROR:#REF! 164.8320192
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_1 ERROR:#REF! 4.7813120704
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_1_1 ERROR:#REF! 0.0000241076
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_2_1 ERROR:#REF! 4.7812879628
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_2 ERROR:#REF! 152.711236235
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_1_2 ERROR:#REF! 142.26178506
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_2_2 ERROR:#REF! 10.449451175
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 m3 ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC ERROR:#REF! 4.39833375
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_1 ERROR:#REF! 0.02474875
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! 1.4741975
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! 0.00489375
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! 0.00489375
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! 237.3755191
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! 63.91547843
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_4 ERROR:#REF! 170.8961289
ERROR:#REF! X 2021 1000 m3 ST_1_2_NC_5 ERROR:#REF! 39.20107288
ERROR:#REF! X 2021 1000 m3 ST_5_C ERROR:#REF! 3.694046667
ERROR:#REF! X 2021 1000 m3 ST_5_C_1 ERROR:#REF! 0.100833333
ERROR:#REF! X 2021 1000 m3 ST_5_C_2 ERROR:#REF! 0.173335385
ERROR:#REF! X 2021 1000 m3 ST_5_NC ERROR:#REF! 0.020685
ERROR:#REF! X 2021 1000 m3 ST_5_NC_1 ERROR:#REF! 1.425970149
ERROR:#REF! X 2021 1000 m3 ST_5_NC_2 ERROR:#REF! 0.002198507
ERROR:#REF! X 2021 1000 m3 ST_5_NC_3 ERROR:#REF! 1.639631111
ERROR:#REF! X 2021 1000 m3 ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 m3 ST_5_NC_6 ERROR:#REF! 0
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ERROR:#REF! X 2021 1000 NAC ST_1_2_C ERROR:#REF! 27700.437
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_1 ERROR:#REF! 1290.82
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_1_1 ERROR:#REF! 0.894
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_2_1 ERROR:#REF! 1289.926
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_2 ERROR:#REF! 20817.695
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_1_2 ERROR:#REF! 20383.207
ERROR:#REF! X 2021 1000 NAC ST_1_2_C_2_2 ERROR:#REF! 434.488
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ERROR:#REF! X 2021 1000 NAC ST_1_2_NC ERROR:#REF! 2124.313
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_1 ERROR:#REF! 87.548
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! 537.219
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! 10.54
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! 10.54
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! 75196.213
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! 21945.047
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_4 ERROR:#REF! 51577.024
ERROR:#REF! X 2021 1000 NAC ST_1_2_NC_5 ERROR:#REF! 20948.552
ERROR:#REF! X 2021 1000 NAC ST_5_C ERROR:#REF! 3630.562
ERROR:#REF! X 2021 1000 NAC ST_5_C_1 ERROR:#REF! 100.53
ERROR:#REF! X 2021 1000 NAC ST_5_C_2 ERROR:#REF! 148.872
ERROR:#REF! X 2021 1000 NAC ST_5_NC ERROR:#REF! 16.683
ERROR:#REF! X 2021 1000 NAC ST_5_NC_1 ERROR:#REF! 1055.17
ERROR:#REF! X 2021 1000 NAC ST_5_NC_2 ERROR:#REF! 2.659
ERROR:#REF! X 2021 1000 NAC ST_5_NC_3 ERROR:#REF! 1163.953
ERROR:#REF! X 2021 1000 NAC ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! X 2021 1000 NAC ST_5_NC_6 ERROR:#REF! 0
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ERROR:#REF! X 2022 1000 m3 ST_1_2_C ERROR:#REF! 129.72767956
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_1 ERROR:#REF! 6.2471413212
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_1_1 ERROR:#REF! 0.0145226067
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_2_1 ERROR:#REF! 6.2326187145
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_2 ERROR:#REF! 123.4805382388
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_1_2 ERROR:#REF! 114.5097166061
ERROR:#REF! X 2022 1000 m3 ST_1_2_C_2_2 ERROR:#REF! 8.9708216327
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ERROR:#REF! X 2022 1000 m3 ST_1_2_NC ERROR:#REF! 12.0835665768
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_1 ERROR:#REF! 0.037
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_1_1 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_2_1 ERROR:#REF! 3.246
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_1_2 ERROR:#REF! 3.246
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_2_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_3 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_1_3 ERROR:#REF! 164.987493448
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_2_3 ERROR:#REF! 17.6232708159
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_4 ERROR:#REF! 147.3642226321
ERROR:#REF! X 2022 1000 m3 ST_1_2_NC_5 ERROR:#REF! 16.5554212697
ERROR:#REF! X 2022 1000 m3 ST_5_C ERROR:#REF! 2.644
ERROR:#REF! X 2022 1000 m3 ST_5_C_1 ERROR:#REF! 0.632
ERROR:#REF! X 2022 1000 m3 ST_5_C_2 ERROR:#REF! 0.178
ERROR:#REF! X 2022 1000 m3 ST_5_NC ERROR:#REF! 0.008
ERROR:#REF! X 2022 1000 m3 ST_5_NC_1 ERROR:#REF! 0.625
ERROR:#REF! X 2022 1000 m3 ST_5_NC_2 ERROR:#REF! 0.008
ERROR:#REF! X 2022 1000 m3 ST_5_NC_3 ERROR:#REF! 0.665
ERROR:#REF! X 2022 1000 m3 ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 m3 ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 NAC ST_1_2_C ERROR:#REF! 25939.548
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_1 ERROR:#REF! 1634.196
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_1_1 ERROR:#REF! 13.113
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_2_1 ERROR:#REF! 1621.083
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_2 ERROR:#REF! 19430.3
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_1_2 ERROR:#REF! 18145.449
ERROR:#REF! X 2022 1000 NAC ST_1_2_C_2_2 ERROR:#REF! 1284.851
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ERROR:#REF! X 2022 1000 NAC ST_1_2_C_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC ERROR:#REF! 1777.391
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_1 ERROR:#REF! 78.763
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_1_1 ERROR:#REF! 1.04
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_2_1 ERROR:#REF! 123.145
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_1_2 ERROR:#REF! 123.145
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_2_2 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_3 ERROR:#REF! 1.914
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_1_3 ERROR:#REF! 61825.424
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_2_3 ERROR:#REF! 14131.0315041103
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_4 ERROR:#REF! 47694.3924958897
ERROR:#REF! X 2022 1000 NAC ST_1_2_NC_5 ERROR:#REF! 22698.404
ERROR:#REF! X 2022 1000 NAC ST_5_C ERROR:#REF! 3662.044
ERROR:#REF! X 2022 1000 NAC ST_5_C_1 ERROR:#REF! 467.151
ERROR:#REF! X 2022 1000 NAC ST_5_C_2 ERROR:#REF! 204.757
ERROR:#REF! X 2022 1000 NAC ST_5_NC ERROR:#REF! 11.309
ERROR:#REF! X 2022 1000 NAC ST_5_NC_1 ERROR:#REF! 541.14
ERROR:#REF! X 2022 1000 NAC ST_5_NC_2 ERROR:#REF! 23.068
ERROR:#REF! X 2022 1000 NAC ST_5_NC_3 ERROR:#REF! 694.843
ERROR:#REF! X 2022 1000 NAC ST_5_NC_4 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_NC_5 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_NC_6 ERROR:#REF! 0
ERROR:#REF! X 2022 1000 NAC ST_5_NC_7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 m3 1 ERROR:#REF! ERROR:#REF! EU1
ERROR:#REF! EX_M 2021 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2021 1000 NAC 5 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2021 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2021 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2021 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2021 1000 NAC 7 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2021 1000 NAC 7_3 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2021 1000 NAC 9 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2021 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2021 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2021 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2022 1000 m3 1 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2022 1000 mt 2 ERROR:#REF! ERROR:#REF!
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ERROR:#REF! EX_M 2022 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_M 2022 1000 NAC 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2021 1000 NAC 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 m3 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 mt 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 1_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 5 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 5_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 5_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 5_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_1_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_2_NC_T ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_4_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_4_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 6_4_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 7 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 7_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 7_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 7_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 7_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 7_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 7_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 7_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 7_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 8 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 8_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 8_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 9 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_1_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_3_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_3_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_3_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_3_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! EX_X 2022 1000 NAC 10_4 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1 ERROR:#REF! ERROR:#REF! EU2
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P ERROR:#REF! 1000 m3 EU2_1_3_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1 ERROR:#REF! ERROR:#REF! OB
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_1_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_2_NC ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3 ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3_C ERROR:#REF! ERROR:#REF!
ERROR:#REF! P.OB ERROR:#REF! 1000 m3 1_2_3_NC ERROR:#REF! ERROR:#REF!

Database

Country Flow Year Unit Product conc
ERROR:#REF! P 2015 1000 m3 1 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 1_1 ERROR:#REF!
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ERROR:#REF! X 2015 1000 NAC 11_1 ERROR:#REF!
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ERROR:#REF! X 2015 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC 11_7 ERROR:#REF!
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ERROR:#REF! X 2015 1000 NAC 12_1 ERROR:#REF!
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ERROR:#REF! X 2015 1000 NAC 12_4 ERROR:#REF!
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ERROR:#REF! X 2015 1000 NAC 12_6 ERROR:#REF!
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ERROR:#REF! X 2015 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_C ERROR:#REF!
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ERROR:#REF! M 2015 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC ERROR:#REF!
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ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_5_C ERROR:#REF!
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ERROR:#REF! M 2015 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_5_NC_4 ERROR:#REF!
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ERROR:#REF! M 2015 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2015 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2015 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2015 1000 m3 ST_1_2_NC_2 ERROR:#REF!
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ERROR:#REF! X 2015 1000 NAC ST_1_2_C ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 1 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 1_2_C ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 5 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 5_NC_T ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 7_3_1 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 8 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 9 ERROR:#REF!
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ERROR:#REF! EX_M 2015 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2015 1000 NAC 10_1_2 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 1 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 3 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 4 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 5 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6_1_NC_T ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 6_2_C ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 6_2_NC_T ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 mt 7 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 mt 7_3 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 9 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 10_1 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 10_1_2 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 3 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 4 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 7 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 7_3 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 8 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_1_2 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 10_2 ERROR:#REF!
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ERROR:#REF! EX_X 2015 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2015 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_C ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_NC ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_1 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_1_C ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_1_NC ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_2 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_2_C ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_2_NC ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_3 ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_3_C ERROR:#REF!
ERROR:#REF! P 2015 1000 m3 EU2_1_3_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P.OB 2015 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 3 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 5 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 5_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 8 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 9 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_2 ERROR:#REF!
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ERROR:#REF! P 2014 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 4 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 5 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 5_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 6_2 ERROR:#REF!
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ERROR:#REF! M 2014 1000 NAC 1 ERROR:#REF!
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ERROR:#REF! M 2014 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 1_2_NC_T ERROR:#REF!
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ERROR:#REF! M 2014 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_2 ERROR:#REF!
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ERROR:#REF! M 2014 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_3 ERROR:#REF!
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ERROR:#REF! M 2014 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 6_4_2 ERROR:#REF!
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ERROR:#REF! M 2014 1000 NAC 7 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 7_3_4 ERROR:#REF!
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ERROR:#REF! M 2014 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 9 ERROR:#REF!
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ERROR:#REF! M 2014 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_1_4 ERROR:#REF!
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ERROR:#REF! M 2014 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 10_3_3 ERROR:#REF!
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ERROR:#REF! X 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 2 ERROR:#REF!
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ERROR:#REF! X 2014 1000 mt 4 ERROR:#REF!
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ERROR:#REF! X 2014 1000 m3 5_NC ERROR:#REF!
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ERROR:#REF! X 2014 1000 m3 6 ERROR:#REF!
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ERROR:#REF! X 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_2_NC_T ERROR:#REF!
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ERROR:#REF! X 2014 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 6_4_2 ERROR:#REF!
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ERROR:#REF! X 2014 1000 mt 7 ERROR:#REF!
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ERROR:#REF! X 2014 1000 mt 7_2 ERROR:#REF!
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ERROR:#REF! X 2014 1000 mt 7_3_1 ERROR:#REF!
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ERROR:#REF! X 2014 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 8 ERROR:#REF!
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ERROR:#REF! X 2014 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 9 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 8 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 9 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2014 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2014 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2014 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2014 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 7 ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 mt 8 ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 mt 9 ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 mt 10_1 ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_2 ERROR:#REF!
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ERROR:#REF! EX_M 2014 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2014 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2014 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_1 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_1_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_1_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_2 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_2_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_2_NC ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_3 ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_3_C ERROR:#REF!
ERROR:#REF! P 2014 1000 m3 EU2_1_3_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P.OB 2014 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 8 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 9 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 8 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 9 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2013 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2013 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2013 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2013 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2013 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2013 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_1 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_1_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_1_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_2 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_2_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_2_NC ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_3 ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_3_C ERROR:#REF!
ERROR:#REF! P 2013 1000 m3 EU2_1_3_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P.OB 2013 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 8 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 9 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 8 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 9 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_1_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_1_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_1_NC_T ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_6 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_7 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 11_7_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_6 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_6_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_6_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_6_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_7 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_7_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_7_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC 12_7_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2012 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! M 2012 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_C ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2012 1000 m3 ST_5_NC_7 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_2_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_2_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_C_2_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_1_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_2_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_1_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_2_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_1_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_2_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_1_2_NC_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_C ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_C_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_C_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_1 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_2 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_3 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_4 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_5 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_6 ERROR:#REF!
ERROR:#REF! X 2012 1000 NAC ST_5_NC_7 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_M 2012 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 5 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 5_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 8 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 9 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 5 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 8 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 9 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! EX_X 2012 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_1 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_1_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_1_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_2 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_2_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_2_NC ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_3 ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_3_C ERROR:#REF!
ERROR:#REF! P 2012 1000 m3 EU2_1_3_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P.OB 2012 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_1_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_1_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_1_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_1_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_2_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_2_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_3_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 1_2_3_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 3 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 5 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 5_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 8 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 9 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! P 2011 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 5 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 5_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 8 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 9 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 4_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 5 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 5_C ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 5_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 5_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_1_C ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_1_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_1_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_2_C ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_2_NC ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_2_NC_T ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_4_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_4_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 6_4_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_3_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 7_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 8 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 8_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 8_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 9 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_1_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3_1 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3_2 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3_3 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_3_4 ERROR:#REF!
ERROR:#REF! M 2011 1000 NAC 10_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_2_C ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_2_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 3 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 4_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 4_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 5 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 5_C ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 5_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 5_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_1_C ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_1_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_1_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_2_C ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_2_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_2_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_4_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_4_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 m3 6_4_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_3_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 7_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 8 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 8_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 8_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 9 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_1_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3_3 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_3_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 mt 10_4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_2_C ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_2_NC ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 1_2_NC_T ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 3 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 3_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 3_2 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 4 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 4_1 ERROR:#REF!
ERROR:#REF! X 2011 1000 NAC 4_2 ERROR:#REF!

Submitted by the experts from France and the United Kingdom of Great Britain and Northern Ireland

Informal document GRVA-17-13 17th GRVA, 25-29 September 2023 Provisional agenda item 5(a)

ECE/TRANS/WP.29/1129

Proposal for a new supplement to UN Regulation No. 155

The text below was prepared by the experts from France and the United Kingdom of Great Britain and Northern Ireland. The modifications to the existing text of the Regulation are marked in bold for new or strikethrough for deleted characters.

I. Proposal

Paragraph 1.1., amend to read:

“1.1. This Regulation applies to vehicles, with regard to cyber security, of the Categories L, M and , N, O, R, S and T, if fitted with at least one electronic control unit.

This Regulation also applies to vehicles of Category O if fitted with at least one electronic control unit.”

Paragraph 1.2., shall be deleted:

“1.2. This Regulation also applies to vehicles of the Categories L6 and L7 if equipped with automated driving functionalities from level 3 onwards, as defined in the reference document with definitions of Automated Driving under WP.29 and the General Principles for developing a UN Regulation on automated vehicles (ECE/TRANS/WP.29/1140).”

Paragraphs 1.3. (former) and 1.4., renumber as paragraphs 1.2. and 1.3.

Paragraph 7.3.1., amend to read:

“7.3.1. The manufacturer shall have a valid Certificate of Compliance for the Cyber

Security Management System relevant to the vehicle type being approved. However, for type approvals of vehicles of Categories M, N and O first issued before 1 July 2024, and for type approvals of vehicles of Categories L, R, S and T first issued before 1 July 2027, and for each extension thereof, if the vehicle manufacturer can demonstrate that the vehicle type could not be developed in compliance with the CSMS, then the vehicle manufacturer shall demonstrate that cyber security was adequately considered during the development phase of the vehicle type concerned.”

Paragraph 7.3.4., amend to read:

“7.3.4. The vehicle manufacturer shall protect the vehicle type against risks identified in the vehicle manufacturer’s risk assessment. Proportionate mitigations shall be implemented to protect the vehicle type. The mitigations implemented shall include all mitigations referred to in Annex 5, Part B and C which are relevant for the risks identified. However, if a mitigation referred to in Annex 5, Part B or C, is not relevant or not sufficient for the risk identified, the vehicle manufacturer shall ensure that another appropriate mitigation is implemented. In particular, for type approvals of vehicles of Categories M, N and O first issued before 1 July 2024, and for type approvals of vehicles of Categories L, R, S and T first issued before 1 July 2027, and for each extension thereof, the vehicle manufacturer shall ensure that another appropriate mitigation is implemented if a mitigation measure referred to in Annex 5, Part B or C is technically not feasible. The respective assessment of the technical feasibility shall be provided by the manufacturer to the approval authority.”

II. Justification

1. At the 16th session of GRVA in May 2023, the subsidiary Working Party accepted the Chair’s proposal to finalise the discussion of the inclusion of all categories of vehicles in UN Regulation No. 155 at its 17th session in September.

2. The purpose of UN Regulation No. 155 is to offer an international framework for the homologation of road vehicles with regard to cyber security. Therefore, GRVA should strive to offer the broadest scope possible to its Contracting Parties, and to allow manufacturers of vehicles of any relevant category to apply for a type approval.

3. During the previous sessions of GRVA and of its informal working group on cyber security and software updates, no technical argument was put forward to justify the exclusion of vehicles of Categories L, R, S and T from the scope of the Regulation. Not including these categories thus forces Contracting Parties and regional organisations to use national or regional laws on cyber security for these categories of vehicles. This could lead to unique requirements and a level of divergence that could be onerous on the industry.

4. The scope of UN Regulation No. 156 already includes all categories of vehicles: this current discrepancy between the two Regulations is an implicit statement that some vehicles, while able to receive over-the-air software updates, should not be type approved with regard to cyber security. Aligning the scope of UN Regulation No. 155 with that of UN Regulation No. 156 is a logical step towards a comprehensive regulatory environment for connected vehicles.

5. Similarly to what was granted to Categories M and N in the original version of the Regulation (paragraphs 7.3.1. and 7.3.4.), an adequate lead time is necessary for manufacturers of vehicles of the categories introduced in this proposal to demonstrate adequate cybersecurity measures for the approval of vehicle types whose development phase started prior to the implementation of the manufacturer’s Cyber Security Management System. Category L vehicles that were already in scope of the Regulation have been included in this lead time to simplify the drafting and remove reference to SAE levels of automation. As the provisions still require demonstration that cyber security was adequately addressed and any alternative mitigations are appropriate, there should be no issues in allowing additional time in this case.

1

56

2

Submitted by the experts from France and the United Kingdom of Great Britain and Northern Ireland

Informal document GRVA-17-13 17th GRVA, 25-29 September 2023 Provisional agenda item 5(a)

1

Proposal for a new supplement to UN Regulation No. 155

The text below was prepared by the experts from France and the United Kingdom of Great Britain and Northern Ireland. The modifications to the existing text of the Regulation are marked in bold for new or strikethrough for deleted characters.

I. Proposal

Paragraph 1.1., amend to read:

“1.1. This Regulation applies to vehicles, with regard to cyber security, of the Categories L, M and, N, O, R, S and T, if fitted with at least one electronic control unit.

This Regulation also applies to vehicles of Category O if fitted with at least one electronic control unit.”

Paragraph 1.2., shall be deleted:

“1.2. This Regulation also applies to vehicles of the Categories L6 and L7 if equipped with automated driving functionalities from level 3 onwards, as defined in the reference document with definitions of Automated Driving under WP.29 and the General Principles for developing a UN Regulation on automated vehicles (ECE/TRANS/WP.29/1140).”

Paragraphs 1.3. (former) and 1.4., renumber as paragraphs 1.2. and 1.3.

Paragraph 7.3.1., amend to read:

“7.3.1. The manufacturer shall have a valid Certificate of Compliance for the Cyber

Security Management System relevant to the vehicle type being approved. However, for type approvals of vehicles of Categories M, N and O first issued before 1 July 2024, and for type approvals of vehicles of Categories L, R, S and T first issued before 1 July 2027, and for each extension thereof, if the vehicle manufacturer can demonstrate that the vehicle type could not be developed in compliance with the CSMS, then the vehicle manufacturer shall demonstrate that cyber security was adequately considered during the development phase of the vehicle type concerned.”

Paragraph 7.3.4., amend to read:

“7.3.4. The vehicle manufacturer shall protect the vehicle type against risks identified in the vehicle manufacturer’s risk assessment. Proportionate mitigations shall be implemented to protect the vehicle type. The mitigations implemented shall include all mitigations referred to in Annex 5, Part B and C which are relevant for the risks identified. However, if a mitigation referred to in Annex 5, Part B or C, is not relevant or not sufficient for the risk identified, the vehicle manufacturer shall ensure that another appropriate mitigation is implemented. In particular, for type approvals of vehicles of Categories M, N and O first issued before 1 July 2024, and for type approvals of vehicles of Categories L, R, S and T first issued before 1 July 2027, and for each extension thereof, the vehicle manufacturer shall ensure that another appropriate mitigation is implemented if a mitigation measure referred to in Annex 5, Part B or C is technically not feasible. The respective assessment of the technical feasibility shall be provided by the manufacturer to the approval authority.”

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II. Justification

1. At the 16th session of GRVA in May 2023, the subsidiary Working Party accepted the Chair’s proposal to finalise the discussion of the inclusion of all categories of vehicles in UN Regulation No. 155 at its 17th session in September.

2. The purpose of UN Regulation No. 155 is to offer an international framework for the homologation of road vehicles with regard to cyber security. Therefore, GRVA should strive to offer the broadest scope possible to its Contracting Parties, and to allow manufacturers of vehicles of any relevant category to apply for a type approval.

3. During the previous sessions of GRVA and of its informal working group on cyber security and software updates, no technical argument was put forward to justify the exclusion of vehicles of Categories L, R, S and T from the scope of the Regulation. Not including these categories thus forces Contracting Parties and regional organisations to use national or regional laws on cyber security for these categories of vehicles. This could lead to unique requirements and a level of divergence that could be onerous on the industry.

4. The scope of UN Regulation No. 156 already includes all categories of vehicles: this current discrepancy between the two Regulations is an implicit statement that some vehicles, while able to receive over-the-air software updates, should not be type approved with regard to cyber security. Aligning the scope of UN Regulation No. 155 with that of UN Regulation No. 156 is a logical step towards a comprehensive regulatory environment for connected vehicles.

5. Similarly to what was granted to Categories M and N in the original version of the Regulation (paragraphs 7.3.1. and 7.3.4.), an adequate lead time is necessary for manufacturers of vehicles of the categories introduced in this proposal to demonstrate adequate cybersecurity measures for the approval of vehicle types whose development phase started prior to the implementation of the manufacturer’s Cyber Security Management System. Category L vehicles that were already in scope of the Regulation have been included in this lead time to simplify the drafting and remove reference to SAE levels of automation. As the provisions still require demonstration that cyber security was adequately addressed and any alternative mitigations are appropriate, there should be no issues in allowing additional time in this case.

ACCC/C/2022/194_United Kingdom

Languages and translations
English

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B E F O R E: THE AARHUS CONVENTION COMPLIANCE COMMITTEE

UNITED NATIONS, ECONOMIC COMMISSION FOR EUROPE RE: COMMUNICATION ACCC/C/2022/194 (THE FREE TRADE AGREEMENTS CASE)

COMMUNICANTS’ REPLY TO THE OBSERVATIONS OF

THE GOVERNMENT OF THE UNITED KINGDOM

1. The Communicants make the following observations in reply to those presented by the UK Government in its Response attached to a letter to the Secretariat dated 12 May and received on 15 May. The Communicants address the following issues:

a. The significant environmental effect of FTAs (paras 16-19 of the UK Response)

b. The feasibility of meeting the Requirements of Article 8 of the Convention in the context of FTA negotiations; (paras 9, 47 and 50 of the UK Response)

c. The incompatibility of the current arrangements with the requirements of Article 8 of the Convention

d. The Relevance to the Complaint of Article 3(7) of the Convention (para 8 of the UK Response)

e. Interpretation of Article 8 of the Convention in the light of the Vienna Convention on the Law of Treaties (paras 5-15 of the UK Response)

f. Breach of Article 3(1) of the Convention distinct from breach of Article 8 (para 51 of the UK Response);

2. The purpose of submitting this Reply is (1) to seek to narrow the issues which fall for determination by the Committee before the hearing; and (2) to correct factual inaccuracies. The Communicants maintain all the submissions presented in the Communication and will address the Committee further on the legal interpretation of the Convention, in particular as to the interpretation and application of Articles 8 and 3(1) of the Convention, at the hearing. The Communicants reserve the right to make further written submissions on these issues if the Committee should decide not to hold a hearing.

3. Documents referred to in this Reply are either contained in the original bundle of documents provided to the Compliance Committee with the Communication dated 10 August 2022 (hereafter referred to as “CB/Annex [X]/p [X]”) or they are contained in the bundle of documents provided with this Reply (hereafter referred to as “RB/Annex [X]/p [X]”).

4. In summary, the Communicants make the following observations in Reply: a. The evidence as to the significant environmental effect of FTAs is

overwhelming, both as regards those negotiated, or to be negotiated, by the

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UK as well as those negotiated by the European Union and other states. It is not plausible for the UK to suggest that the FTAs referenced in the Communication do not have any significant environmental impact. The Communicants therefore invite the UK to accept that FTAs ‘may have a significant effect on the environment’ within the meaning of Article 8 of the Convention (without prejudice to their case that Article 8 does not apply to FTAs for other reasons). See further below (para’s 4-23);

b. The evidence as to the feasibility of meeting Article 8 requirements in the context of FTA negotiations is also compelling, having regard to the established practice of other states and the European Union. Again, the Communicants invite the UK to confirm that it accepts that it would be feasible to meet the full requirements of Article 8 in practice. See further paras 25-28 below;

c. The current arrangements set in place by the UK do not meet the requirements of Article 8 for the reasons set out in the Communication. The Communicants note, in particular, that the UK does not claim that the current arrangements allow for effective public participation ‘while options remain open’ or that the views of the public are sought or taken into account at any stage after the negotiating objectives have been published. Furthermore, there are a number of factual inaccuracies in the Response which relate to the current arrangements for consultation and which are addressed in this Reply;

d. The Communicants have not alleged a breach of Article 3(7) for the purposes of this Communication, but they do rely on Article 3(7) as relevant to the interpretation of Article 8. The Committee may wish to draw its own conclusions as to the UK’s compliance with Article 3(7) in this context, bearing in mind that the UK does not accept that Article 3(7) applies to FTA negotiations in any event (para 32 below);

e. The Parties agree that the Convention falls to be interpreted in line with the rules and principles laid down in the Vienna Convention on the Law of Treaties (VCLT). In this regard, the Communicants note that the primary general rule of interpretation is that laid down in Article 31 of the VCLT which requires that a treaty be interpreted ‘in good faith in accordance with the ordinary meaning to be given to the terms of the treaty in their context and in the light of its object and purpose.’ This taken with the broad scope of the wording of Article 8 as reaffirmed by the Implementation Guide, indicate that the Article is apt to cover FTAs. In relation to Article 18 VCLT, that provision obliges states to refrain from acts which would frustrate the object and purpose of a treaty when it has signed the treaty (until it makes clear its intention not to become a party). This is relevant to FTAs and their implications for domestic regulation and policies (paras 33-46 below);

f. The Communication refers to Article 3(1) as well as Article 8 on the basis that, even were the Committee to find that the UK’s current practice complies with Article 8, there would still be a breach of the Convention since Article 3(1) requires that the UK take the necessary legislative, regulatory and other measures, to establish and maintain a clear, transparent and consistent framework to implement Article 8 of the

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Convention. Accordingly, the reference to a breach of Article 3(1) is not ‘parasitic’ or manifestly unreasonable as claimed by the UK (para 45 below).

5. (a) The significant environmental effect of FTAs (paras 16-19 of the UK Response: Article 8 of the Convention refers to other generally applicable legally binding rules ‘that may have a significant effect on the environment’. In its response, the UK states that the Committee cannot assume that FTAs have, or may have, a significant effect on the environment and that the environmental effect of each FTA has to be assessed individually. The UK then seeks to downplay, or even dismiss, the scale of the environmental effect of various individual FTAs.

6. Evidence of Significant Environmental Effect of FTAs: The UK does not specifically address most of the evidence referred to in the Communication as to the significant environmental effect of FTAs (Communication, paras 9- 17)The UK relies in the main on certain findings of the TAC Report on the Australia FTA and a general rebuttal as to the significant environment effect of FTAs (see Response, paras 16-19).

7. The Communicants submit that the evidence as to the environmental impact and implications of FTAs in general, as well as in the specific cases to which they have referred, is clear and on that basis the Communicants invite the UK to accept before the hearing that FTAs have, or may have, a significant effect on the environment. As set out in the Communication, the scope of existing FTAs, the recognised (including by the TAC) impacts of trade liberalisation in certain sectors and the practices associated with their negotiations (even in the UK), all confirm that FTAs in general have an environmental impact. The Communicants make a number of further submissions on this issue below.

8. The fact that FTAs generally have environmental impacts is evidenced by the UK’s own practice of commissioning a report into environmental impact (see Response, para 34) , as well as an initial scoping impact assessment which deals with environmental issues. If FTAs did not generally have significant environmental impacts, there would be no point in requiring an impact assessment into the environmental impacts of every agreement, which is what the UK Government has committed to doing (see CB/Annex 3/p 6).). The UK is of course not alone in acknowledging the environmental impacts of FTAs. The EU also recognises that FTAs have environmental impacts: it commits to publishing a Sustainability Impact Assessment for every trade negotiation (for example, see RB/Annex 7/p 19).

9. As recognised in the CPTPP’s initial impact assessment: “FTAs can impact the environment by changing patterns or techniques of production, the types of goods and services that are traded and the commitments made by countries in respect of environmental policies and outcomes” (see RB/Annex 5/p 12). Further, in practice, the decision of the UK to agree to lower tariff measures on Malaysian palm oil to 0% is a concrete example of environmental impacts

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arising from FTAs, given widespread evidence of unsustainable palm oil production there which may be imported into the UK going forward without tariff (see further para 26 below).

10. Furthermore, the UK’s final Impact Assessment into the Australia FTA states that:

The economic improvements and increased trade arising from FTAs can also entail consequences for the environment. Other things equal, increased economic activity is typically associated with environmental implications for greenhouse gas emissions and other environmental outcomes such as air pollution, water quality and biodiversity. (see RB/Annex 6/p 14)

11. This is a comment from the UK Department for Trade on FTAs in general. The

Impact Assessment then includes a specific chapter on environmental impacts (Chapter 6) which states that: ‘The agreement could impact on the environment through a variety of channels’ (RB/Annex 6/p 15). Chapter 6 then addresses potential impacts on greenhouse gas emissions and climate change, trade- related transport emissions, carbon leakage, impacts on natural capital and nature loss, air and water quality, forests and the marine environment, as well as biodiversity and ecosystems and waste management. The Impact Assessment also points out that the FTA has a dedicated chapter on the environment.

12. The environmental and climate impact of trade and trade agreements is also evident from the 2022 Progress Report of the UK Climate Change Committee which considered the impact of trade in general as well as the three new FTAs in this regard (see RB/Annex 8). The Committee referred to the adoption of the three FTAs with Australia, New Zealand and Singapore and stated:

The most notable climate action within these trade agreements has been for the partners to reaffirm their commitment to all the aims of the Paris Agreement, although it is not clear whether these clauses will have any substantial effect on climate change action. A greater impact of the trade agreements may be the impact on trade flows and subsequently UK production and consumption emissions. (RB/Annex 8/p 29,, emphasis added)

13. The TAC Report: The UK claims that the TAC Report on the Australia FTA

supports its contention that the Australia FTA has no significant environmental impact in so far as it finds no “offshoring of environmental harm”, “race to the bottom” and “erosion of environmental regulations” (Response, para 18(ii)). However the TAC is not required to address these issues. The remit of the TAC’s Report is laid down in section 42 of the UK Agriculture Act which provides that the report:

…must explain whether, or to what extent, the measures referred to in subsection (1) are consistent with the maintenance of UK levels of statutory protection in relation to: (a)human, animal or plant life or health, (b)animal welfare, and (c) the environment. (see RB/Annex 1/p 1)

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14. While a section 42 TAC Report can analyse if the FTA is consistent with existing

UK legislation on the environment, it cannot take into account the long-term effect on regulation of the competitive pressure that can result from the FTA. Further, the TAC does not have any remit under section 42 to analyse whether the FTA offshores environmental impacts, as confirmed in the UK government publication on the report (RB/Annex 9/p 31).1 A further limitation in the UK approach of relying on the TAC is that current regulations may not regulate all environmental impacts arising from an FTA such as land use change.

15. Nonetheless, the Communicants note that the TAC Report acknowledges its own limited remit and points towards environmental impacts of trade which are due to competitive pressure, rather than regulatory changes directly resulting from the trade agreement. For example, the TAC Report finds that the FTA has no effect on the UK’s existing WTO rights to regulate the import of products produced using pesticides that are harmful to UK animals, plants, or the environment, but also states that the FTA is likely to lead to increased imports of products that have been produced at lower cost by using pesticides in Australia that would not be permitted in the UK’ (RB/Annex 9/p 32) .

16. ISDS: One important feature of many FTAs which has clear and well documented environmental impacts relates to the inclusion of Investor State Dispute Settlement (ISDS) mechanisms (see Communication para 17). The UK government's position is that they will consider ISDS in FTAs on a case-by-case basis, and it has been included in the CPTPP trade agreement, for example. This reaffirms the need for considering the environmental impacts of ISDS and the need to consult on its inclusion in trade agreements, though the Communicants recognise ISDS does not form part of the Australia FTA which is the focus of the Communication.

17. The UK in its Response states that there has never been a successful ISDS claim against the UK, and denies that the threat of potential claims affected the Government’s legislative programme (Response, para 18(iii)). However, the independent evidence as to the significant impact that ISDS can have on environmental law and policy is clear as outlined below.

18. In September 2022, UNCTAD issued a report stating that: The risk of investor–State dispute settlement (ISDS) being used to challenge climate policies is a major concern. (RB/Annex 11/ p 38)

19. The UNCTAD report cites many examples of cases directly impacting states’ ability to combat climate change (see the 175 environment related cases listed

1 Report pursuant to Sec on 42 of the Agriculture Act 2020 S.42 Report criteria which refers to ‘the maintenance of UK levels of statutory protec ons’

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in Annex 1 to the Report and the 192 fossil fuels cases listed in Annex 2 – RB/Annex 11/p 40-51). The Report states:

While not all claims brought by investors under IIAs are successful, ISDS is costly. In general, the disputing parties – including the respondent States – incur significant costs for the arbitrators’ work, the administration of proceedings and legal representation, all of which usually amount to several million dollars or more. In addition, claimants and respondent States face several years of uncertainty while ISDS proceedings concerning the challenged measures are ongoing. The amounts at stake in ISDS proceedings can be hundreds of millions and even billions of dollars. Moreover, ISDS proceedings may have reputational costs for the respondent States. (RB/Annex 11/p 39)

20. A recent example of the impact that ISDS (can have on environmental policy is Rockhopper v Italy (RB/Annex 4, p 9). In that case, the claimant companies sought arbitration of their claims for compensation arising from Italy's alleged violations of the ECT in respect of their investments in the putative Ombrina Mare oil and gas field located off the Italian coast in the Adriatic Sea. As the Arbitration Tribunal noted in the award:

…this came about because Italy decided to pass a law in late 2015 which banned offshore production within a certain distance of Italian shores. That was a sovereign decision made by Italy and the Tribunal indicates at the very outset that it should not be taken in any way to either criticize or deprecate that decision from either a political or environmental standpoint. Italy's sovereign choice to proscribe such offshore production, based on its own inherent authority and dignity, was its to make. However, that sovereign choice or act or decision (the label is not important) of Italy may carry with it a concomitant consequence to pay certain compensation pursuant to internationally-binding promises it made to foreign investors arising from its being a party to the ECT at the material time (emphasis added) (para 6)

21. The ICSID Tribunal held that there had been an unlawful expropriation and

awarded Rockhopper 184 million euros in damages, 6.7 million euro in decommissioning costs, plus interest. Rockhopper had applied for a production concession from the Italian Government prior to the introduction of the ban, and was claiming for both the funds spent and for anticipated profits (RB/Annex 4/p10.

22. In August 2022, in light of the concerns as to the adverse impact of ISDS

mechanisms, the Special Rapporteur on Human rights and the Environment recommended that states:

(j) Negotiate the removal of investor-State dispute settlement mechanisms from international trade and investment agreements or terminate the agreements (because such mechanisms constrain States from taking immediate and effective action to address the climate crisis, biodiversity loss and pollution)… (RB/Annex 13/p 62)

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23. The Special Rapporteur had outlined the concern with ISDS, including in the context of climate change:

The fossil fuel industry is especially litigious, having brought to international arbitration tribunals more than 230 cases in which they have asserted that government actions have decreased the value of their investments. Fossil fuel corporations have been successful in nearly 75 per cent of cases, forcing Governments to pay billions of dollars in compensation… The average amount awarded in fossil fuel cases – over $600 million – is almost five times the amount awarded in non-fossil fuel cases. Governments acting to fulfil their commitments under the Paris Agreement may be liable for hundreds of billions of dollars in future investor-State dispute settlement cases, which discourages climate action…There is a deeply disturbing contradiction between human rights obligations (and the Sustainable Development Goals) and investment agreements that require Governments to compensate foreign corporations for stopping activities that exacerbate the climate crisis and result in human rights abuses. (RB/Annex 13/p 61))

24. Some states have acknowledged publicly that the possibility of being sued by investors under ISDS stopped them from implementing more ambitious environmental policies, for example as regards the phasing out of fossil fuels to meet climate change goals. By way of example, Denmark has set a 2050 deadline for ceasing exploration projects for fossil fuels, which is expected to affect only one fossil fuel licensing agreement. The Danish climate minister is reported to have acknowledged that an earlier target would have resulted in the Danish government needing to provide significant and costly compensation to investors under ISDS. New Zealand is reported to have been impacted by concern that it would face action from investors: it reportedly did not join the Beyond Oil and Gas Alliance which required that members should, at a minimum, be “implementing the guidance of the International Energy Agency to cease development of new oil and gas fields”, because it was concerned that this would lead to it cases brought by investors (see RB/Annex 12/p 54).

25. (b) The feasibility of meeting the Requirements of Article 8 of the Convention in the context of FTA negotiations (paras 9, 47 and 50 of the UK Observations) The UK Government has pointed to the complexity of negotiations as a basis for arguing that ‘public comment’ cannot be continually sought and taken into account at every stage. (Response paras 9, 47).

26. The Communicants recognise that there are complexities and sensitivities in conducting international negotiations, including for FTAs. However there is ample evidence of existing systems and practice in the negotiation of FTAs by states and the EU which provide for public consultation throughout the process, including at an early stage while options are still open. The Communication refers to a number of examples (see CB/Annex 25/p 108-110), including that of the EU, which consults the public on an impact assessment

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conducted prior to starting negotiations, and again later during major negotiations as part of the Sustainability Impact Assessment. In the US, the Trade Promotion Authority requires the Government to engage in public consultation, and provide detailed information and regular consultation events during the negotiations, while publishing a series of impact assessments including on the environment (RB/Annex 15/p 65-68). US negotiators are also well known to invoke the need to gain domestic approval of trade deals as a leverage point in negotiations, which shows that the requirement to consult domestically can in fact be a useful tool in negotiations, rather than undercutting them as the UK asserts the Response.

27. In its Response, the UK states that a comparison between the UK’s approach to public participation in FTA negotiations and that of other countries is not ‘legitimate’ and not an issue for the Committee (Response, para 50). This is clearly not correct if the UK’s position is based on an argument that public participation required under Article 8 is not feasible. The argument as to what Article 8 requires is a matter of interpretation of the Convention but it is entirely legitimate to refer to broader international practice, particularly of other parties to the Convention, to counter an argument that public participation is simply not feasible. It would be helpful to clarify whether the UK maintains that public participation in the form which the Communicants submit is required under Article 8 is not feasible in the light of the international practice to which the Communicants have referred.

28. The UK currently limits public consultation to the period before the publication of the negotiating objectives, and there is no public consultation later in the negotiation process. In any event the broad phrasing of the negotiating objectives renders it difficult to know the extent to which consultation has influenced their framing or the conduct of negotiations (CB/Annex 15/p 69). In marked contrast to the EU, there is no public consultation on the initial scoping assessment (published alongside negotiating objectives) (see RB/Annex 5/p 12 and CB/Annex 25), nor on the full impact assessment published alongside the completed deal2. The importance of conducting public consultation beyond the stage of setting negotiating objectives is confirmed by the fact that circumstances can change significantly after this stage. Key issues can arise during the negotiation of the FTA and circumstances can change significantly which underlines the importance of public consultation during the different stages of the negotiation in order for it to be effective and meaningful. For example, when the UK was consulting on the CPTPP FTA, Malaysia had still not ratified the agreement, but it did ratify the CPTPP during the process of negotiations with the UK (on the 30.09.2022). In the final agreement, the UK agreed to lower tariff measures on Malaysian palm oil to 0%, which was a contentious environmental issue and underlines the environmental impacts

2 The absence of public consulta on on the ini al scoping assessment for the UK-Australia FTA is evidenced at CB/Annex 17 and CB/Annex 3, whilst the EU's prac ce on public par cipa on is set out in CB/Annex 25

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which FTAs have (RB/Annex 10). With trade negotiations lasting several years, conducting public consultations only at the start of the process does not provide effective public consultation, contrary to the requirements of Article 8.

29. (c) The incompatibility of the current arrangements with the requirements of Article 8 of the Convention- The Response makes a number of assertions which are factually inaccurate or incomplete and these are addressed here.

30. The UK Response is factually inaccurate in two respects. First, some of the Thematic Working Groups referred to at paragraph 32(i) of the Response have been “under review” since September 2022. The Thematic Working Group concerned with sustainability has not met since October last year and the development group, of which one of the Communicants (Trade Justice Movement) is a member has not met since June last year (see RB/Annex 14/p 63). The Communicants are therefore not aware of the Sustainability TWG being "relaunched", as the Response claims (para 32(ii)). Government’s arguments around the willingness, or otherwise of groups or individuals to sign up to non-disclosure agreements (which they were required to sign by government order to join the meetings) are beside the point therefore, since these groups have not met for approximately a year.

31. Second, the contention in paragraph 38 of the Response, that it will accommodate a request for a Parliamentary debate in relation to a free trade deal overlooks the reality as to how this process played out in practice in relation to the Australia FTA. The debate took place after the formal process of Parliamentary scrutiny (under the Constitutional Reform and Governance Act 2010) had come to an end meaning that Parliament could not resolve against the trade deal under the CRAG rules (because no resolution or vote was permitted). Whilst government asserts (in paragraph 48 of the Response) that the House of Commons may resolve against a treaty under CRAG 2010, preventing the Executive from ratifying it, in reality, no such resolution was possible in the case of the Australia FTA, because the debate took place outside the CRAG process. The Communicants contend that this omission fundamentally impairs the effectiveness of the Parliamentary scrutiny in the case of the Australia deal.

32. (d) Relevance to the Communication of Article 3(7) of the Convention: The Presence of Article 3(7) in the Convention underscores the application of the Convention to international environmental fora (Communication, paras 4, 23, 30). The Communicants submit that the presence of Article 3(7) in the Convention forms part of the context for interpreting the distinct provisions of Article 8 which applies to other legally binding rules that may have a significant effect on the environment. The UK appears to suggest in its Response that Article 3(7) of the Convention, rather than Article 8, applies to the negotiation of FTAs but then immediately states that it does not apply. If the reason for that

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position as to Article 3(7) is that FTAs have no significant environmental impact, this is strongly refuted (see above), and if it is because FTAs may be bilateral this is also refuted. The Aarhus Convention Implementation Guide states in relation to Article 3(7) that: ‘The definition of international forums implicitly includes both multilateral and bilateral decision-making processes’.3

33. (3) Interpretation of Article 8 under the principles laid down in the Vienna Convention on the Law of Treaties: The Communicants rely on the rules of interpretation as laid down under the VCLT (Communication, para 25) including that Article 8 should be interpreted in good faith in accordance with the ordinary meaning to be given to the terms of the Convention in their context and in the light of its object and purpose. The UK makes only cursory reference to the object and purpose of the Convention (Response, para 15) and does not examine its specific implications for the interpretation of Article 8. The object and purpose of the Convention is stated in Article 1 as being: to contribute to the protection of the right of every person of present and future generations to live in an environment adequate to his or her health and well-being. In the light of the significant effects on the environment that FTAs may have (see above) it is important to have regard to this objective together with the terms of Article 8, as the starting point in considering the interpretation of Article 8. The UK contests the effects of FTAs on the environment and thereby appears to sidestep considering Article 8 in the context of the object and purpose of the Convention. This is not an acceptable approach to the interpretation of the scope of Article 8.

34. By contrast the UK starts its analysis of Article 8 by reference to the principle of ejusdem generis, a subsidiary rule which is not relevant in this case (see further below).

35. In relation to the ordinary meaning of the terms of Article 8 in its context (Article 31(1) VCLT), the Communicants note the broad terms of Article 8 in relation to ‘other generally applicable legally binding rules that may have a significant effect on the environment.’ This phrase should be seen in the context of the Convention as a whole, and in particular the provisions for public participation and the way in which these provisions contribute to the objective of the Convention as set out in Article 1.

36. The considerations set out in the preamble confirm the direct relationship between the provisions on public participation, including those set out in Article 8, and securing the object and purpose of the Convention, particularly in a context where the public has clear concerns as is the case with the negotiation of FTAs.

3 The Aarhus Conven on: An Implementa on Guide 2014 at page 69.

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37. The UK refers to the Implementation Guide and seeks to argue that this in some way narrows the scope of Article 8. In the first place that is not the purpose or effect of the Implementation Guide and second, the references made by the UK (in particular at para 6(ii) of the Response) do not indicate a narrowing of the scope of Article 8, quite the contrary. The reference to ‘preparation by public authorities’ is clearly broad enough to encompass the negotiation of FTAs, having regard to the generality of the phrase ‘other legally binding rules which may have a significant effect on the environment’ and the object and purpose of the Convention. The breadth of the language referred to in the Implementation Guide which includes ‘norms and rules’, rather emphasises the breadth of the scope of Article 8 than otherwise (Response, para 6(ii)).

38. The obligation is framed as one of ‘striving’ which reflects the breadth of the scope of Article 8 and the different types of measures it encompasses.

39. The ejusdem generis rule cannot override the primary rule laid down in Article 31 or the supplementary rules laid down in Article 32. In discussing the application of this rule, the UK again disregards the object and purpose of the Convention. This is fatal to its argument since unless the application of the rule is integrated with a consideration of the object and purpose of the Convention it does not elucidate the meaning of Article 8. In any event the intended breadth of the language is confirmed by the Implementation Guide.

40. A requirement that any measure covered by Article 8 must derive from a ‘unilateral’ act would open a major lacuna in the Convention since states could thereby avoid public participation in the development of norms derived from those processes, as the UK seeks to do here. In any event the decision to agree an FTA that it has negotiated is that of the UK and is in that sense ‘unilateral’.

41. The Communicants have addressed the implications of the UK’s dualist system in the Communication (paras 27 and 31) and would only add at this stage that the UK does not deny that an FTA has legal effects within the domestic legal system, simply describing these as ‘limited’ (Response, para 7(2)(e)). The extent of those implications, in line with established caselaw, is clearly fact specific and given the potential scope and environmental effect of FTAs is potentially significant, even within the limits of the Rayner exceptions.

42. The Communicants do not understand the point being made as to the specific rather than general nature of the rules laid down by FTAs (Response, para 7(iii)). As stated in the Communication the rules are clearly of general application (para 31).

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43. In relation to the ‘sense check’ (Response, para 9), that concerns the issue of feasibility addressed above and, again, the UK avoids addressing the object and purpose of the Convention and the implications of this for the interpretation of Article 8.

44. Article 18 VCLT: The Communicants note that the effect of Article 18 VCLT has been considered by the EU Courts. In the case of T-115/94 Opel Austria GmbH v Council of the European Union, the Applicants had argued that:

Article 18 of the First Vienna Convention and Article 18 of the Second Vienna Convention constitute an expression of the general principle of protection of legitimate expectations in public international law, according to which a subject of international law may, under certain conditions, be bound by the expectations created by its acts in other subjects of international law. (see RB/Annex 3/p 6)

In finding for the Applicants, the CFI referred to Article 18 VCLT and then held:

In a situation where the Communities have deposited their instruments of approval of an international agreement and the date of entry into force of that agreement is known, traders may rely on the principle of protection of legitimate expectations in order to challenge the adoption by the institutions, during the period preceding the entry into force of that agreement, of any measure contrary to the provisions of that agreement which will have direct effect on them after it has entered into force. (see RB/Annex 3/p 7))

45. This reference to Article 18 VCLT was noted by Advocate General Francis

Jacobs in Case C-129/96 Inter-Environment Wallonie, Opinion 24 April 1997 (RB/Annex 2/p 4) in considering the legal effect of an EU directive which had been adopted but for which the deadline for transposition had not yet passed.

46. FTAs have a potentially far-reaching impact on UK law and policy and as indicated above they have clear and recognised environmental impacts. In that context the duty under Article 18 VCLT is also potentially far-reaching in terms of obligations placed on the UK.

47. Breach of Article 3(1) of the Convention distinct from breach of Article 8: If, contrary to the view taken by the Communicants, the Committee were to find that current UK practice meets the substantive requirements of Article 8 of the Convention, the Communicants maintain that there would still be a breach of Article 3(1) of the Convention on the basis that the UK has not provided a clear legal framework for its implementation of Article 8 in this context as required by Article 3 .

3 August 2023

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Signatories

Toni Pearce, Interim Director of Advocacy, WWF-UK

Rebecca Newsom, Head of Politics, Greenpeace-UK

Sarah Williams, Head of Unit, Green Alliance

Kath Dalmeny, Chief Executive, Sustain

George Dunn, CEO, Tenant Farmers Association

Ruth Bergan, Director, Trade Justice Movement

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Rob Percival, Head of Food Policy, Soil Association

Dr Nick Palmer, Head of Compassion in World Farming UK

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