What can we learn from in-app paradata on the active-
passive trade-off in smart surveys?
Anne Elevelt, Bella Struminskaya, Maaike Kompier, Daniëlle
Remmerswaal & Barry Schouten
UNECE 2023, June 12-14, 2023
Smart surveys?
Smart surveys have at least one of the following smart features:
1. Device intelligence: It can use the intelligence (computing,
storage) of the device
2. Internal sensors: It can employ the sensors available in the device;
3. External sensors: It can communicate with other sensor systems;
4. Public online data: It can extract publicly available online data;
5. Personal online data: It can go online and request access to
existing external personal data;
6. Linkage consent: It can ask consent to link external personal data
already in possession of the survey institute.
UNECE, June 13, 2023
Why smart surveys?
Survey themes that satisfy one or more of following:
1. Burden: The survey topic(s) are burdensome for a respondent (time or
cognitive effort);
2. Centrality: The survey topic(s) are non-central to respondents;
3. Non-survey type: The survey topic(s) do not lend themselves to a
Active data collection = Respondents are involved in interpretation of
the smart task, retrieving information through the smart task, judging
the smart data, and/or submitting the smart data.
BUT ARE RESPONDENTS MOTIVATED, ABLE AND COMPETENT?
UNECE, June 13, 2023
In-app logdata on navigation/clicking behaviour
UNECE, June 13, 2023
Example analysis – Household Budget Survey
RQ: How much time do respondents spend in-app?
UNECE, June 13, 2023
Example analysis – Household Budget Survey
RQ: Does allowing to edit scanned (e-)tickets help?
UNECE, June 13, 2023
Example analysis – Household Budget Survey
RQ: Do respondents look at tutorials?
UNECE, June 13, 2023
Example analysis – Mobility Survey
RQ: What edit actions on stops – tracks are done?
UNECE, June 13, 2023
One day sample First day of seven day sample
All actions Limited editing All editing Limited editing
Time in-app (seconds) 58 41 69 33
Nr of sessions 4.7 4.7 4.7 3.9
Nr of messages 62 44 73 36
% User-entered 6.2 NA 7.7 NA
Mean nr tracks 4 3.3 3.6 4.1
Mean nr stops 3.5 3.4 3.3 4.2
% labeled stops 81% 71% 84% 66%
% labeled tracks 76% 68% 82% 66%
Example analysis – Mobility Survey
RQ: How does battery management affect geotracking?
UNECE, June 13, 2023
Discussion
• In-app logdata can be very useful in smart (diary) surveys to
evaluate problematic (smart) tasks, BUT
o Data generally large in size and warrants hypotheses
o Only partially structured
o Hard to separate inability from lack of motivation
• Research on how to structure and detect ‘breaking points’ in
active-passive trade-offs
• Sample management system (log and timing of actions)
• GPS (Global Positioning System)
• Digital recordings
• Collection of various anthropometric data using digital devices
Focus on: Audit Trails (keystrokes, timings, functions, consistency checks, suspensions)
Using Audit Trail Data Examples
• Total survey time, question-by-question timing
• Mode switch, language switch
• Brower types/device types
• The last question answered
• Key questions’ values
• Consistency Checks (Hard/Soft)
• Questions answered/not-answered
• Online Help/Remarks
Consistency checks (Hard/Soft) demo
Online Help /Remarks demo
Example1: Consistency Checks
• Hard Checks – Show Messages; the inconsistency must be resolved to be
continuing for the interview
• Soft Checks – Show Messages; warning signal messages appear, but there
is a “suppress” choice to ignore the warning.
Counting the hard/soft check messages may indicate potential
questionnaire design issues, such as question sequencing/logical
flow; Question format and response options: Evaluate the
appropriateness of the question formats (e.g., multiple-choice,
open-ended) and the available response ranges.
Example 2: Online Help and Remarks
• Online Help is a building-in function that helps the respondents to
understand the questionnaire precisely.
• The remark function allows the interviewer to recode critical
information associated with the respondent’s answer.
We can evaluate the types of questions that prompt participants to
click on the online help option and analyze the specific areas or
question types where participants encounter difficulties or
confusion. The Remarks and the number of online help clicks would
help identify patterns or particular questions that need attention.
Short BlaiseTooLs Demo
Parsed Audit Trail data for a case
Consistency Checks counts
Online Help counts
Remarks
Conclusion
• Paradata is a powerful tool that can be used to improve questionnaire
design and quality control in the survey life cycle.
• We can use Paradata to ensure that the data collected is accurate and
valuable by monitoring response rates, tracking completion times,
identifying question skips, analyzing interviewer behavior, and testing
and iterating the questionnaire design.
• We can also use Paradata to improve the effectiveness of the
questionnaires and produce high-quality data that can be used to
inform decision-making and policy development.
Active data collection = Respondents are involved in interpretation of the smart task, retrieving information through the smart task, judging the smart data, and/or submitting the smart data.
BUT ARE RESPONDENTS MOTIVATED, ABLE AND COMPETENT?
UNECE, June 13, 2023
3
In-app logdata on navigation/clicking behaviour
UNECE, June 13, 2023
4
Example analysis – Household Budget Survey
RQ: How much time do respondents spend in-app?
UNECE, June 13, 2023
5
Example analysis – Household Budget Survey
RQ: Does allowing to edit scanned (e-)tickets help?
UNECE, June 13, 2023
6
Example analysis – Household Budget Survey
RQ: Do respondents look at tutorials?
UNECE, June 13, 2023
7
Example analysis – Mobility Survey
RQ: What edit actions on stops – tracks are done?
UNECE, June 13, 2023
One day sample
First day of seven day sample
All actions
Limited editing
All editing
Limited editing
Time in-app (seconds)
58
41
69
33
Nr of sessions
4.7
4.7
4.7
3.9
Nr of messages
62
44
73
36
% User-entered
6.2
NA
7.7
NA
Mean nr tracks
4
3.3
3.6
4.1
Mean nr stops
3.5
3.4
3.3
4.2
% labeled stops
81%
71%
84%
66%
% labeled tracks
76%
68%
82%
66%
8
Example analysis – Mobility Survey
RQ: How does battery management affect geotracking?
UNECE, June 13, 2023
9
Discussion
In-app logdata can be very useful in smart (diary) surveys to evaluate problematic (smart) tasks, BUT
Data generally large in size and warrants hypotheses
Only partially structured
Hard to separate inability from lack of motivation
Research on how to structure and detect ‘breaking points’ in active-passive trade-offs
Use of natural gas by industry
(contribution to growth, in percentage points)
Energy companies Manufacturing Households Other users
9
• CPI currently measures prices paid by new customers
of energy companies.
• Price-index of consumption in National Accounts has to
include fixed and variable contracts, i.e. contracts
where prices may change within the contract-period.
• Prices of type of contracts that are missing in CPI
increased much more slowly than prices paid by new
customers.
Implications for the deflator of household
consumption
10
• When energy prices started to strongly increase in
2021Q4 colleagues from NA and CPI made an estimate
of the price changes of all contracts using information
on the prices paid by new customers (= CPI) and the
share of each type of contract (variable, 1 and 3 year
fixed contracts).
An alternative estimation method for the
deflator of household consumption of
natural gas
11
An example
Consumer prices; price index 2015=100
Periods
2017 2018 2019 2020 2021 2022
045200 Gas 103,1 110,8 122,59 125,78 146,74 327,44
Source: CBS
Type of contract Share in total
number of
contracts (in %)
Price change
(%, y-o-y)
T-1 T
Variable 50 146,74 327,44 123,1
1 year fixed 15 125,78 146,74 16,7
3 year fixed 35 110,8 122,59 10,6
Total 100 67,8
Price index (2015=100)
12
• Recently, detailed customer data of utility companies were made
available to SN.
• These data include prices and number of consumer energy contracts
provided by the largest utility companies in the Netherlands.
• These transaction data:
• will be used to calculate a new CPI for natural gas and electricity
that take into account existing contracts. First publication in
June 2023.
• are already used in national accounts to calculate the deflator of
household consumption for energy products, replacing the
method described in previous sheet.
New data source for measuring the CPI of
natural gas and electricity
INVITATION to THE PEP PARTNERSHIP ON ACTIVE MOBILITY, THE NETHERLANDS, 23RD –25TH JANUARY 2023
Languages and translations
English
Dear Sir or Madam,
We are happy to invite you to the next meeting of THE PEP Partnership on Active Mobility taking place
on invitation of the Dutch Ministry of Infrastructure and Water Management the Dutch Ministry of
Economic Affairs and the City of Rotterdam, January 23rd – 25th, 2023.
Supported by the secretariats of the United Nations Economic Commission for Europe (UNECE)
Transport and Environment Divisions in Geneva and the World Health Organization Regional Office for
Europe (WHO/Europe) in Copenhagen, THE PEP is a unique tripartite policy platform that seeks to
encourage transport policymakers and urban planners to consider the health and environmental impacts
of transport and address them through shared policy approaches. THE PEP Partnerships form an
important pillar of THE PEP implementation mechanism providing platforms for pan-European
cooperation and the joint development of forward looking strategies, concrete projects and actions for
clean, safe, healthy and inclusive mobility and transport.
At the 5th High-level Ministerial Meeting on Transport Health Environment in Vienna May 2021 the
ministers responsible for transport, health and environment of the member states of the UNECE WHO-
Euro pan-European region adopted the Vienna Ministerial Declaration and with it the first pan-European
Master Plan for Cycling Promotion – a major milestone for the promotion of cycling on the pan-European
level. With this declaration the ministers are also calling for the development of a Pan-European Master
Plan for Active Mobility and have mandated THE PEP Partnership on Active Mobility with the task to
highlight and integrate walking. To this end a first ever pan-European Master Plan Walking will be
developed which will then together with the Pan-European Master Plan on Cycling Promotion provide the
requested strategic umbrella – the Pan European Master Plan on Active Mobility - for the promotion of
active mobility in the pan-European region.
Implementing the commitments of the Vienna Ministerial Declaration a new THEPEP strategy on
transport, health and environment will be developed including healthy and active mobility in particular to
support the implementation and further development of the pan-European Master Plan for Cycling
Promotion and the new pan-European Masterplan Walking together forming the new pan-European
Masterplan Active Mobility.
THE PEP Partnership Active Mobility and the Member States and other partners involved therein are
invited to discuss inputs and provide proposals for THE PEP strategy and the options for possible legal
instruments in a special THE PEP Session in our Partnership Meeting on January 24th. For this session
the equipment for a full online participation will be provided!
This is of course a great important opportunity for our Partnership Active Mobility that we should
definitely use.
INVITATION THE PEP PARTNERSHIP ON
ACTIVE MOBILITY
THE NETHERLANDS, 23RD –25TH JANUARY 2023
VENUES ROTTERDAM / THE HAGUE / UTRECHT
The forthcoming partnership meeting in the Netherlands will give participants the possibility to get
inspired by the great examples for the promotion of active travel in Dutch cities. The multiday workshop
allows participants to:
• Share and discuss questions and challenges they encounter in promotion and policy development for
walking and cycling
• Gather ideas based on the Netherlands experience on potential follow-ups for the recommendations
of the Pan-European Master Plan for Cycling Promotion
• Get inspiration for the further development of the Pan-European Master Plan for Walking
• Expand their network and connect with Netherlands experts and peers from research, government,
companies and NGOs
• Discuss inputs and provide proposals for THE PEP strategy on transport, health and environment
and the options for possible legal instruments
Inspiration: https://www.holland.com/global/tourism/travel-inspiration/cycling-lifestyle.htm
We therefore kindly invite the representatives of member states, intergovernmental organizations and
NGOs including relevant experts and stakeholders to join and participate in this important event and
bring in their perspectives and approaches. Please be aware that the first day of the meeting will have a
stronger focus on walking, while the second and third day will put priority on cycling issues.
Together with all members of THE PEP Partnership and their big experience, their inspiring contributions
and their joint efforts and support we will be able to provide a great first ever pan-European Master Plan
Walking that can be adopted by the ministers in the course of the 6th High-level pan-European
Ministerial Meeting on Transport Health Environment in 2025 while at the same time also support
countries in setting up their national walking strategies. We furthermore hope that this meeting inspires
as many countries as possible to implement the recommendations of the pan-European Master Plan for
Cycling Promotion including their own national cycling strategies.
Please be aware that this meeting of the partnership will be organized as a live meeting. In case you
can’t make it to the Netherlands there will be the possibility to follow some sessions via livestream with
limited possibilities for interaction (chat). Those sessions will be earmarked in the agenda.
We are looking forward to meeting you in the Netherlands and join our forces to promote active mobility
in Europe!
Robert Thaler Thierry Du Crest
Austrian Federal Ministry of Climate Action,
Environment, Energy, Mobility, Innovation and
Technology
Member of THE PEP Bureau
6) Active Mobility and public health – Joke Drijfhout / José Besselink
7) Accessible City – Willem Philipsen
8) 99 quick wins pedestrians – Vivian Ooms
9) National Platform for Walking and National City Deal – Martine de Vaan
15.00 Break
15.15
Peer to peer discussion
national and city relationship + political support +
evidence, action, impact etc
Robert Thaler (chair), all
participants
17.00 Surprise signature project
Walk on our route to the restaurant
tbc
18.00 Dinner offered by the city of Rotterdam
Individual trip to The Hague by train: 20 minutes
TUESDAY, JANUARY 24TH
– THE HAGUE
General information about The Hague: https://www.holland.com/global/tourism/destinations/the-hague.htm
10.30 Welcome
Arlette van Gilst, Ministry of Infrastructure and Water Management
Paulien Officier, Netherlands Enterprise Agency
Robert Thaler, Austrian Federal Ministry of Climate Action, Environment,
Energy, Mobility, Innovation and Technology & Member of THE PEP Bureau
Thierry Du Crest, French Ministry of Transport
Virginia Fuse, UN ECE / THE PEP Secretariat
11:00
Introduction to the meeting and
overview of recommendations from
Pan-European Master Plan Cycling
Promotion
Mirjam Borsboom & Anton
Wuis, Ministry of Infrastructure
and Water Management
Andreas Friedwagner,
Verracon/Austria
11:30 Walkshop (1/2 groups)
Focus on Dutch past, present and future
approaches to cycling. Including
multimodality, first- and last mile solutions
(incl. OV-fiets) and bicycle parking
Shelley Bontje, Dutch Cycling
Embassy and Rinse Gorter,
Rina Adriani en Lilian Oskamp,
Municipality of the Hague
11:30 Cycling tour (2 groups)
Focus on Dutch past, present and future
approaches to cycling. Including
multimodality, first- and last mile solutions
(incl. OV-fiets) and bicycle parking.
Possible route (link)
N.B. depends on cycling capabilities of
group / alternative: 1 group walking
Shelley Bontje, Dutch Cycling
Embassy and Rinse Gorter,
Rina Adriani en Lilian Oskamp,
Municipality of the Hague
13:30 Lunch offered by the Netherlands Ministry
of Infrastructure and Water Management
14:30 Expert presentations
• National government approach to
employers (werkgeversaanpak)
Ministry of Infrastructure and Water
Management and employer (e.g.
ASML, ANWB, national police)
• Safety and LEV admissibility Ministry of Infrastructure and Water
Management
• Discussion All participants
16:00 Break
16.30
ONLINE
THE PEP strategy and the options
for possible legal instruments
• Introduction Robert Thaler
• Discuss inputs and provide
proposals for THE PEP strategy
and the options for possible legal
instruments
All participants
18:30 End of meeting
19.00 Dinner in The Hague offered by the Netherlands Enterprise Agency
WEDNESDAY, JANUARY 25TH
– UTRECHT
General information about Utrecht: https://www.holland.com/global/tourism/destinations/utrecht.htm
Train at 7:55 hrs from The Hague central station
Arrival in Utrecht Centraal at 8:32 hrs
9.00
Welcome and THE PEP session (Location: Utrecht City hall, Stadhuisbrug
1, 3511 JK Utrecht)
Welcome by Heleen Zijlstra (Municipality Utrecht)
Tour de table on cycling policy/uptake in the
pan-European region:
Where is everyone now in implementing the
recommendations of the pan-European Master
Plan for Cycling Promotion?
Short statements of all
participants
Partner presentations on new initiatives/projects
• E-Bike and E-Cargo purchase subsidy
programmes in Hungary
Bálint Madarász-Losonczy
• Activities of the Serbian Ministry of
Environmental Protection: working in
partnership with Danube Competence Center
and other institutions in the preparation of the
National Strategy for Cycling
Biljana Filipovic
Please let us know whether you would like to
share a new initiative/development from your
country/your work with the other members of the
partnership. We will be happy to add it here!
All participants welcome
11:00
Competence centers: capacity-building for
active mobility
Dutch Cycling Embassy, Transport
Decarbonisation Alliance, UN Environment
Programme
Ministry of Infrastructure
and Water Management
Dutch Cycling Embassy
12:00
Welcome at location for lunch
Venue. Paushuize (Kromme Nieuwegracht 49, 3512 HE Utrecht) – Lunch
offered by Provincial Minister Arne Schaddelee of Province of Utrecht
12.20
Start lunch – Meet the members of THE PEP Partnership Active Mobility
Welcome by Arne Schaddelee, Utrecht bike story by Ronald Besemer and
Jelle Bakker (Bicycle Mayor of Utrecht)
• Focus on multimodality, first and last mile solutions together with
Herbert Tiemens (10 pax max.)
• City-region connections; sustainable mobility together with Jitte
Roosendaal (10 pax max.)
• Mobility management at destinations, integration biking and walking
(WALKING GROUP)
16:00 Tour around bike parking Utrecht Central Station
17:00 Closing the day (Location: Municipality of Utrecht)
Debriefing
Welcome speech by Susanne Schilderman (Municipality Utrecht)
Concluding words by Robert Thaler, Thierry du Crest and Anouk van Eekelen
Network drinks
18:30 Joint dinner – goodbye for members of THE PEP Partnership Active Mobility
Venue: Metro citykitchen (Utrecht) – costs to be covered by the participants!
Individual trip back to The Hague (approx.. 40mins)
Practical information
Registration
To register for the meeting please send an email to [email protected]
Accommodation
Hotel recommendations close to The Hague Central Station (most practical for this program):
• Eden Babylon Hotel The Hague Central Station (€ 165 per night incl breakfast, + 18,50 for 2nd
person if you book per email or phone with reference DBA-
• Paleishotel and Parkhotel (18 minutes walking, close to the Royal Noordeinde Palace)
And lots of other little boutique hotels, B&B’s look here for all options.
Clothing
In The Netherlands the weather in winter can be cold and rainy. Please be aware of part of the program
is outside. https://www.holland.com/global/tourism/information/weather/packing-a-suitcase-what-clothes-
should-you-bring.htm
Transport
While we recommend to stay in a hotel in The Hague, the venues of the meetings will vary throughout
the days. In order to not cause any delays in the schedule please make sure that you buy your train
tickets in advance! You can check https://www.ns.nl/en for more details.
Luggage
On the day of arrival and/or departure it is possible to store your luggage at railway stations. Here you
can read how it works: https://www.ns.nl/en/travel-information/luggage/luggage-at-the-station.html
Costs
All partners need to cover costs for travel expenses (including the trips from and to The Hague), daily
allowances and accommodation. The costs for coffee breaks, lunches and dinners – except the dinner
on Wednesday evening - are covered by the host.
Please be aware that this meeting of the partnership will be organized as a live meeting. In case you
can’t make it to the Netherlands there will be the possibility to follow some sessions via livestream with
limited possibilities for interaction (chat). The link to the livestream will be provided in due time.
For any other question concerning THE PEP Partnership, please contact:
INVITATION to THE PEP PARTNERSHIP ON ACTIVE MOBILITY, THE NETHERLANDS, 23RD –25TH JANUARY 2023
Languages and translations
English
Dear Sir or Madam,
We are happy to invite you to the next meeting of THE PEP Partnership on Active Mobility taking place
on invitation of the Dutch Ministry of Infrastructure and Water Management the Dutch Ministry of
Economic Affairs and the City of Rotterdam, January 23rd – 25th, 2023.
Supported by the secretariats of the United Nations Economic Commission for Europe (UNECE)
Transport and Environment Divisions in Geneva and the World Health Organization Regional Office for
Europe (WHO/Europe) in Copenhagen, THE PEP is a unique tripartite policy platform that seeks to
encourage transport policymakers and urban planners to consider the health and environmental impacts
of transport and address them through shared policy approaches. THE PEP Partnerships form an
important pillar of THE PEP implementation mechanism providing platforms for pan-European
cooperation and the joint development of forward looking strategies, concrete projects and actions for
clean, safe, healthy and inclusive mobility and transport.
At the 5th High-level Ministerial Meeting on Transport Health Environment in Vienna May 2021 the
ministers responsible for transport, health and environment of the member states of the UNECE WHO-
Euro pan-European region adopted the Vienna Ministerial Declaration and with it the first pan-European
Master Plan for Cycling Promotion – a major milestone for the promotion of cycling on the pan-European
level. With this declaration the ministers are also calling for the development of a Pan-European Master
Plan for Active Mobility and have mandated THE PEP Partnership on Active Mobility with the task to
highlight and integrate walking. To this end a first ever pan-European Master Plan Walking will be
developed which will then together with the Pan-European Master Plan on Cycling Promotion provide the
requested strategic umbrella – the Pan European Master Plan on Active Mobility - for the promotion of
active mobility in the pan-European region.
Implementing the commitments of the Vienna Ministerial Declaration a new THEPEP strategy on
transport, health and environment will be developed including healthy and active mobility in particular to
support the implementation and further development of the pan-European Master Plan for Cycling
Promotion and the new pan-European Masterplan Walking together forming the new pan-European
Masterplan Active Mobility.
THE PEP Partnership Active Mobility and the Member States and other partners involved therein are
invited to discuss inputs and provide proposals for THE PEP strategy and the options for possible legal
instruments in a special THE PEP Session in our Partnership Meeting on January 24th. For this session
the equipment for a full online participation will be provided!
This is of course a great important opportunity for our Partnership Active Mobility that we should
definitely use.
INVITATION THE PEP PARTNERSHIP ON
ACTIVE MOBILITY
THE NETHERLANDS, 23RD –25TH JANUARY 2023
VENUES ROTTERDAM / THE HAGUE / UTRECHT
The forthcoming partnership meeting in the Netherlands will give participants the possibility to get
inspired by the great examples for the promotion of active travel in Dutch cities. The multiday workshop
allows participants to:
• Share and discuss questions and challenges they encounter in promotion and policy development for
walking and cycling
• Gather ideas based on the Netherlands experience on potential follow-ups for the recommendations
of the Pan-European Master Plan for Cycling Promotion
• Get inspiration for the further development of the Pan-European Master Plan for Walking
• Expand their network and connect with Netherlands experts and peers from research, government,
companies and NGOs
• Discuss inputs and provide proposals for THE PEP strategy on transport, health and environment
and the options for possible legal instruments
Inspiration: https://www.holland.com/global/tourism/travel-inspiration/cycling-lifestyle.htm
We therefore kindly invite the representatives of member states, intergovernmental organizations and
NGOs including relevant experts and stakeholders to join and participate in this important event and
bring in their perspectives and approaches. Please be aware that the first day of the meeting will have a
stronger focus on walking, while the second and third day will put priority on cycling issues.
Together with all members of THE PEP Partnership and their big experience, their inspiring contributions
and their joint efforts and support we will be able to provide a great first ever pan-European Master Plan
Walking that can be adopted by the ministers in the course of the 6th High-level pan-European
Ministerial Meeting on Transport Health Environment in 2025 while at the same time also support
countries in setting up their national walking strategies. We furthermore hope that this meeting inspires
as many countries as possible to implement the recommendations of the pan-European Master Plan for
Cycling Promotion including their own national cycling strategies.
Please be aware that this meeting of the partnership will be organized as a live meeting. In case you
can’t make it to the Netherlands there will be the possibility to follow some sessions via livestream with
limited possibilities for interaction (chat). Those sessions will be earmarked in the agenda.
We are looking forward to meeting you in the Netherlands and join our forces to promote active mobility
in Europe!
Robert Thaler Thierry Du Crest
Austrian Federal Ministry of Climate Action,
Environment, Energy, Mobility, Innovation and
Technology
Member of THE PEP Bureau
6) Active Mobility and public health – Joke Drijfhout / José Besselink
7) Accessible City – Willem Philipsen
8) 99 quick wins pedestrians – Vivian Ooms
9) National Platform for Walking and National City Deal – Martine de Vaan
15.00 Break
15.15
Peer to peer discussion
national and city relationship + political support +
evidence, action, impact etc
Robert Thaler (chair), all
participants
17.00 Surprise signature project
Walk on our route to the restaurant
tbc
18.00 Dinner offered by the city of Rotterdam
Individual trip to The Hague by train: 20 minutes
TUESDAY, JANUARY 24TH
– THE HAGUE
General information about The Hague: https://www.holland.com/global/tourism/destinations/the-hague.htm
10.30 Welcome
Arlette van Gilst, Ministry of Infrastructure and Water Management
Paulien Officier, Netherlands Enterprise Agency
Robert Thaler, Austrian Federal Ministry of Climate Action, Environment,
Energy, Mobility, Innovation and Technology & Member of THE PEP Bureau
Thierry Du Crest, French Ministry of Transport
Virginia Fuse, UN ECE / THE PEP Secretariat
11:00
Introduction to the meeting and
overview of recommendations from
Pan-European Master Plan Cycling
Promotion
Mirjam Borsboom & Anton
Wuis, Ministry of Infrastructure
and Water Management
Andreas Friedwagner,
Verracon/Austria
11:30 Walkshop (1/2 groups)
Focus on Dutch past, present and future
approaches to cycling. Including
multimodality, first- and last mile solutions
(incl. OV-fiets) and bicycle parking
Shelley Bontje, Dutch Cycling
Embassy and Rinse Gorter,
Rina Adriani en Lilian Oskamp,
Municipality of the Hague
11:30 Cycling tour (2 groups)
Focus on Dutch past, present and future
approaches to cycling. Including
multimodality, first- and last mile solutions
(incl. OV-fiets) and bicycle parking.
Possible route (link)
N.B. depends on cycling capabilities of
group / alternative: 1 group walking
Shelley Bontje, Dutch Cycling
Embassy and Rinse Gorter,
Rina Adriani en Lilian Oskamp,
Municipality of the Hague
13:30 Lunch offered by the Netherlands Ministry
of Infrastructure and Water Management
14:30 Expert presentations
• National government approach to
employers (werkgeversaanpak)
Ministry of Infrastructure and Water
Management and employer (e.g.
ASML, ANWB, national police)
• Safety and LEV admissibility Ministry of Infrastructure and Water
Management
• Discussion All participants
16:00 Break
16.30
ONLINE
THE PEP strategy and the options
for possible legal instruments
• Introduction Robert Thaler
• Discuss inputs and provide
proposals for THE PEP strategy
and the options for possible legal
instruments
All participants
18:30 End of meeting
19.00 Dinner in The Hague offered by the Netherlands Enterprise Agency
WEDNESDAY, JANUARY 25TH
– UTRECHT
General information about Utrecht: https://www.holland.com/global/tourism/destinations/utrecht.htm
Train at 7:55 hrs from The Hague central station
Arrival in Utrecht Centraal at 8:32 hrs
9.00
Welcome and THE PEP session (Location: Utrecht City hall, Stadhuisbrug
1, 3511 JK Utrecht)
Welcome by Heleen Zijlstra (Municipality Utrecht)
Tour de table on cycling policy/uptake in the
pan-European region:
Where is everyone now in implementing the
recommendations of the pan-European Master
Plan for Cycling Promotion?
Short statements of all
participants
Partner presentations on new initiatives/projects
• E-Bike and E-Cargo purchase subsidy
programmes in Hungary
Bálint Madarász-Losonczy
• Activities of the Serbian Ministry of
Environmental Protection: working in
partnership with Danube Competence Center
and other institutions in the preparation of the
National Strategy for Cycling
Biljana Filipovic
Please let us know whether you would like to
share a new initiative/development from your
country/your work with the other members of the
partnership. We will be happy to add it here!
All participants welcome
11:00
Competence centers: capacity-building for
active mobility
Dutch Cycling Embassy, Transport
Decarbonisation Alliance, UN Environment
Programme
Ministry of Infrastructure
and Water Management
Dutch Cycling Embassy
12:00
Welcome at location for lunch
Venue. Paushuize (Kromme Nieuwegracht 49, 3512 HE Utrecht) – Lunch
offered by Provincial Minister Arne Schaddelee of Province of Utrecht
12.20
Start lunch – Meet the members of THE PEP Partnership Active Mobility
Welcome by Arne Schaddelee, Utrecht bike story by Ronald Besemer and
Jelle Bakker (Bicycle Mayor of Utrecht)
• Focus on multimodality, first and last mile solutions together with
Herbert Tiemens (10 pax max.)
• City-region connections; sustainable mobility together with Jitte
Roosendaal (10 pax max.)
• Mobility management at destinations, integration biking and walking
(WALKING GROUP)
16:00 Tour around bike parking Utrecht Central Station
17:00 Closing the day (Location: Municipality of Utrecht)
Debriefing
Welcome speech by Susanne Schilderman (Municipality Utrecht)
Concluding words by Robert Thaler, Thierry du Crest and Anouk van Eekelen
Network drinks
18:30 Joint dinner – goodbye for members of THE PEP Partnership Active Mobility
Venue: Metro citykitchen (Utrecht) – costs to be covered by the participants!
Individual trip back to The Hague (approx.. 40mins)
Practical information
Registration
To register for the meeting please send an email to [email protected]
Accommodation
Hotel recommendations close to The Hague Central Station (most practical for this program):
• Eden Babylon Hotel The Hague Central Station (€ 165 per night incl breakfast, + 18,50 for 2nd
person if you book per email or phone with reference DBA-
• Paleishotel and Parkhotel (18 minutes walking, close to the Royal Noordeinde Palace)
And lots of other little boutique hotels, B&B’s look here for all options.
Clothing
In The Netherlands the weather in winter can be cold and rainy. Please be aware of part of the program
is outside. https://www.holland.com/global/tourism/information/weather/packing-a-suitcase-what-clothes-
should-you-bring.htm
Transport
While we recommend to stay in a hotel in The Hague, the venues of the meetings will vary throughout
the days. In order to not cause any delays in the schedule please make sure that you buy your train
tickets in advance! You can check https://www.ns.nl/en for more details.
Luggage
On the day of arrival and/or departure it is possible to store your luggage at railway stations. Here you
can read how it works: https://www.ns.nl/en/travel-information/luggage/luggage-at-the-station.html
Costs
All partners need to cover costs for travel expenses (including the trips from and to The Hague), daily
allowances and accommodation. The costs for coffee breaks, lunches and dinners – except the dinner
on Wednesday evening - are covered by the host.
Please be aware that this meeting of the partnership will be organized as a live meeting. In case you
can’t make it to the Netherlands there will be the possibility to follow some sessions via livestream with
limited possibilities for interaction (chat). The link to the livestream will be provided in due time.
For any other question concerning THE PEP Partnership, please contact:
Invitation to THE PEP PARTNERSHIP on SUSTAINABLE TOURISM MOBILITY, 3RD PARTNERSHIP MEETING, 25TH/26TH JANUARY 2023, UTRECHT/THE HAGUE (NETHERLANDS
Languages and translations
English
Dear Madam or Sir,
Following up the adoption of the Vienna declaration in May 2021 by 41 countries of the pan-European
region, the Austrian Federal Ministry of Climate Action, Environment, Energy, Mobility, Innovation and
Technology and the Austrian Federal Ministry of Labour and Economy together with the Dutch hosts
would like to invite you to participate in the third meeting of THE PEP Partnership on Sustainable
Tourism Mobility, taking place January 25th/26th, in Utrecht and The Hague (Netherlands).
If you are also interested in the topics of walking and cycling, please be informed that THE PEP
Partnership Active Mobility will meet the days before - January 23rd and 24th. You are most welcome to
join the walking and cycling experts on these days and extend the Dutch experience to the city of
Rotterdam.
The forthcoming partnership meeting in the Netherlands will give participants the possibility to get
inspired by the great examples for the promotion of active travel in Dutch cities. The multiday workshop
allows participants to:
• Share and discuss questions and challenges in promotion and policy development for sustainable
mobility in tourism
• Excursions to and briefings on multimodal offers, first/last mile services and cycling infrastructure
as part of the Dutch tourism experience
• Discuss and exchange on the topic of mobility requirements: trends, behaviour, future mobility
• Get inspiration for the further development of THE PEP Toolbox Sustainable Tourism Mobility
• Expand their international network and connect in particular with Netherlands experts and peers
from research, government, companies and NGOs
Inspiration: https://www.holland.com/global/tourism/travel-inspiration/cycling-lifestyle.htm
You can find the agenda including organizational details at the end of this document.
We therefore kindly invite representatives of member states from ministries of climate action, transport
and tourism but also intergovernmental organizations, NGOs and other experts to join and participate in
this important event and bring in their perspectives and approaches in the development process. They
will also benefit from the experiences of the participating countries and institutions in supporting
sustainable mobility in tourism. This and all the following meetings will therefore offer a great opportunity
to exchange on current challenges and to jointly work on recommendations for strategies and actions
regarding the promotion of sustainable mobility in tourism throughout the whole pan-European region
and to get inspired by the examples of other countries facing similar challenges.
Please be aware that this meeting of the partnership will be organized as a live meeting. In case you
can’t make it to the Netherlands there will be the possibility to follow some sessions via livestream with
limited possibilities for interaction (chat). Those sessions will be earmarked in the agenda.
INVITATION THE PEP PARTNERSHIP
SUSTAINABLE TOURISM MOBILITY
3RD PARTNERSHIP MEETING, 25TH/26TH JANUARY 2023
UTRECHT/THE HAGUE (NETHERLANDS)
We are looking forward to meeting you in Utrecht and Den Hague and join our forces to promote
sustainable mobility in tourism in Europe!
Renske Klunder Robert Thaler Monika Klinger
Ministry of Economic Affairs
and Climate
Anouk van Eekelen
Netherlands Board of Tourism
and Conventions
Austrian Federal Ministry of
Climate Action, Environment,
Energy, Mobility, Innovation and
Technology & Member of THE
PEP Bureau
Austrian Federal Ministry of
Labour and Economy
ABOUT THE PEP PARTNERSHIP OF SUSTAINABLE TOURISM MOBILITY
Supported by the secretariats of the United Nations Economic Commission for Europe (UNECE)
Transport and Environment Divisions in Geneva and the World Health Organization Regional Office for
Europe (WHO/Europe) in Copenhagen, THE PEP is a unique policy platform that seeks to encourage
transport policymakers and urban planners to consider the health and environmental impacts of transport
and address them through shared policy approaches. By bringing together the ministries of transport,
health and environment, THE PEP acknowledges the importance of linking these different sectors.
At the 5th high-level meeting on Transport Health Environment in Vienna 2021 the ministers decided to
initiate a new THE PEP Partnership on Sustainable Tourism Mobility. It aims at bringing together
the relevant stakeholders responsible for mobility, climate action and tourism in a European
platform in order to further promote the sustainable tourism development of the pan-European region.
Compared to other international initiatives, the partnership focusses in particular on the question how
the national level can integrate the promotion of sustainable mobility in tourism in its strategies
and actions as well as improve cross-sectoral cooperation and by doing so support destinations
to promote and implement sustainable mobility in tourism.
Wednesday, January 25th - Utrecht
General information about Utrecht: https://www.holland.com/global/tourism/destinations/utrecht.htm
12:00
Welcome at location for lunch
Venue. Paushuize (Kromme Nieuwegracht 49, 3512 HE Utrecht) – Lunch
offered by Provincial Minister Arne Schaddelee of Province of Utrecht
12.20
Start lunch – Meet the members of THE PEP Partnership Active Mobility
Welcome by Arne Schaddelee, Utrecht bike story by Ronald Besemer and
Jelle Bakker (Bicycle Mayor of Utrecht)
14:00 Cycling OR walking tour (3 groups)
• Focus on multimodality, first and last mile solutions together with
Herbert Tiemens (10 pax max.)
• City-region connections; sustainable mobility together with Jitte
Roosendaal (10 pax max.)
• Mobility management at destinations, integration biking and walking
(WALKING GROUP)
16:00 Tour around bike parking Utrecht Central Station
17:00 Closing the day (Location: Municipality of Utrecht)
Debriefing
Welcome speech by Susanne Schilderman (Municipality Utrecht)
Concluding words by Robert Thaler, Thierry du Crest and Anouk van Eekelen
Networking drinks
18:30 Joint dinner – goodbye for members of THE PEP Partnership Active Mobility
Venue: Metro citykitchen (Utrecht) – costs to be covered by the participants!
Individual trip back to The Hague (approx.. 40mins)
AGENDA THE PEP PARTNERSHIP
SUSTAINABLE TOURISM MOBILITY
3RD PARTNERSHIP MEETING, 25TH/26TH JANUARY 2023
UTRECHT / THE HAGUE (NETHERLANDS)
General information about The Hague: https://www.holland.com/global/tourism/destinations/the-hague.htm
09.30
Welcome: Sustainable Tourism and Mobility in the Netherlands
Location: Ministry of Economic Affairs and Climate, The Hague,
Bezuidenhoutseweg 73
Renske Klunder (Dutch Ministry of Economic Affairs and Climate) & Anouk
van Eekelen (Netherlands Board of Tourism and Conventions)
Monika Klinger (Austrian Federal Ministry of Labour and Economy) & Robert
Thaler (Austrian Federal Ministry of Climate Action, Environment, Energy,
Mobility, Innovation and Technology & Member of THE PEP Bureau)
Virginia Fuse, UN ECE / THE PEP Secretariat
09.45 Expert presentations
The Netherlands policy development and
experiences to sustainable tourism and mobility:
• Perspective 2030: the national vision of the
Netherlands and destination management incl.
first/last mile services
• Roadmap: climate neutral 2030 in The
Netherlands an example of the Dutch “polder
culture”
Renske Klunder &
Anouk van Eekelen
Good practices to inspire us and learn from -
Examples from the (trans-)national level
• Simplon Alliance: Action plan for the Alps
2022 including Sustainable Mobility in Tourism
• Planning and decision support for sustainable
tourism mobility in Sweden: The Miranda tool
and the case of Kalmar
Tobias Heldt
Please let us know whether you would like to
share an example from your country/your work
with the other members of the partnership. We will
be happy to add it here!
THE PEP Toolbox Sustainable Tourism
Mobility – status and expected next steps
Andreas Friedwagner
12:30 Joint lunch
Mobility requirements of different user groups: trends, behaviour, future
mobility
13:30 Presentation of case studies / good practices
• The Travellers Perspective: Marketing &
communication - sustainable mobility for
destination the Netherlands
Anouk van Eekelen
• Pandemic travel behaviour of young travellers Ilil Beyer Bartana
• PaNaNet+ Participation of people with special
needs in ecotourism
Miklós Berencsi
Please let us know whether you would like to share an example from your
country/your work with the other members of the partnership. We will be
happy to add it here!
Tour de table: how is your institution/country
dealing with mobility requirements of different user
groups? Are there any current
challenges/initiatives?
All participants
15:00
How to cover the topic of mobility requirements in
the toolbox? Scope, possible recommendations
etc.
Interactive session
16:00 Conclusions and next steps Renske Klunder, Monika
Klinger, Robert Thaler
16:30 Field visit to the Royal Dutch Touring Club ANWB in The Hague
18:00/
18:30
Drinks & dinner in The Hague
Practical information
Registration
To register for the meeting please send an email to [email protected]
Accommodation
Hotel recommendations close to The Hague Central Station (most practical for this program):
• Eden Babylon Hotel The Hague Central Station (€ 165 per night incl breakfast, + 18,50 for 2nd
person if you book per email or phone with reference DBA-
Other options close to The Hague Central Station/ city centre:
• Moxy The Hague Wijnhaven 6 (5 minutes walking)
• Holiday inn Express, Lange Houtstraat 5 (parliament & city centre 10 minutes walking)
• Novotel The Hague, Hofweg 5-7 (10 minutes walking, parliament & city centre)
• Paleishotel and Parkhotel (18 minutes walking, close to the Royal Noordeinde Palace)
And lots of other little boutique hotels, B&B’s look here for all options.
Clothing
In The Netherlands the weather in winter can be cold and rainy. Please be aware of part of the program
is outside. https://www.holland.com/global/tourism/information/weather/packing-a-suitcase-what-clothes-
should-you-bring.htm
Transport
While we recommend to stay in a hotel in The Hague, the venues of the meetings will vary throughout
the days. In order to not cause any delays in the schedule please make sure that you buy your train
tickets in advance! You can check https://www.ns.nl/en for more details.
Luggage
On the day of arrival and/or departure it is possible to store your luggage at railway stations. Here you
can read how it works: https://www.ns.nl/en/travel-information/luggage/luggage-at-the-station.html
Costs
All partners need to cover costs for travel expenses (including the trips from and to The Hague), daily
allowances and accommodation. The costs for coffee breaks, lunches and dinners – except the dinner
Please be aware that this meeting of the partnership will be organized as a live meeting. In case you
can’t make it to the Netherlands there will be the possibility to follow some sessions via livestream with
limited possibilities for interaction (chat). The link to the livestream will be provided in due time.
For any other question concerning THE PEP Partnership, please contact:
Invitation to THE PEP PARTNERSHIP on SUSTAINABLE TOURISM MOBILITY, 3RD PARTNERSHIP MEETING, 25TH/26TH JANUARY 2023, UTRECHT/THE HAGUE (NETHERLANDS
Languages and translations
English
Dear Madam or Sir,
Following up the adoption of the Vienna declaration in May 2021 by 41 countries of the pan-European
region, the Austrian Federal Ministry of Climate Action, Environment, Energy, Mobility, Innovation and
Technology and the Austrian Federal Ministry of Labour and Economy together with the Dutch hosts
would like to invite you to participate in the third meeting of THE PEP Partnership on Sustainable
Tourism Mobility, taking place January 25th/26th, in Utrecht and The Hague (Netherlands).
If you are also interested in the topics of walking and cycling, please be informed that THE PEP
Partnership Active Mobility will meet the days before - January 23rd and 24th. You are most welcome to
join the walking and cycling experts on these days and extend the Dutch experience to the city of
Rotterdam.
The forthcoming partnership meeting in the Netherlands will give participants the possibility to get
inspired by the great examples for the promotion of active travel in Dutch cities. The multiday workshop
allows participants to:
• Share and discuss questions and challenges in promotion and policy development for sustainable
mobility in tourism
• Excursions to and briefings on multimodal offers, first/last mile services and cycling infrastructure
as part of the Dutch tourism experience
• Discuss and exchange on the topic of mobility requirements: trends, behaviour, future mobility
• Get inspiration for the further development of THE PEP Toolbox Sustainable Tourism Mobility
• Expand their international network and connect in particular with Netherlands experts and peers
from research, government, companies and NGOs
Inspiration: https://www.holland.com/global/tourism/travel-inspiration/cycling-lifestyle.htm
You can find the agenda including organizational details at the end of this document.
We therefore kindly invite representatives of member states from ministries of climate action, transport
and tourism but also intergovernmental organizations, NGOs and other experts to join and participate in
this important event and bring in their perspectives and approaches in the development process. They
will also benefit from the experiences of the participating countries and institutions in supporting
sustainable mobility in tourism. This and all the following meetings will therefore offer a great opportunity
to exchange on current challenges and to jointly work on recommendations for strategies and actions
regarding the promotion of sustainable mobility in tourism throughout the whole pan-European region
and to get inspired by the examples of other countries facing similar challenges.
Please be aware that this meeting of the partnership will be organized as a live meeting. In case you
can’t make it to the Netherlands there will be the possibility to follow some sessions via livestream with
limited possibilities for interaction (chat). Those sessions will be earmarked in the agenda.
INVITATION THE PEP PARTNERSHIP
SUSTAINABLE TOURISM MOBILITY
3RD PARTNERSHIP MEETING, 25TH/26TH JANUARY 2023
UTRECHT/THE HAGUE (NETHERLANDS)
We are looking forward to meeting you in Utrecht and Den Hague and join our forces to promote
sustainable mobility in tourism in Europe!
Renske Klunder Robert Thaler Monika Klinger
Ministry of Economic Affairs
and Climate
Anouk van Eekelen
Netherlands Board of Tourism
and Conventions
Austrian Federal Ministry of
Climate Action, Environment,
Energy, Mobility, Innovation and
Technology & Member of THE
PEP Bureau
Austrian Federal Ministry of
Labour and Economy
ABOUT THE PEP PARTNERSHIP OF SUSTAINABLE TOURISM MOBILITY
Supported by the secretariats of the United Nations Economic Commission for Europe (UNECE)
Transport and Environment Divisions in Geneva and the World Health Organization Regional Office for
Europe (WHO/Europe) in Copenhagen, THE PEP is a unique policy platform that seeks to encourage
transport policymakers and urban planners to consider the health and environmental impacts of transport
and address them through shared policy approaches. By bringing together the ministries of transport,
health and environment, THE PEP acknowledges the importance of linking these different sectors.
At the 5th high-level meeting on Transport Health Environment in Vienna 2021 the ministers decided to
initiate a new THE PEP Partnership on Sustainable Tourism Mobility. It aims at bringing together
the relevant stakeholders responsible for mobility, climate action and tourism in a European
platform in order to further promote the sustainable tourism development of the pan-European region.
Compared to other international initiatives, the partnership focusses in particular on the question how
the national level can integrate the promotion of sustainable mobility in tourism in its strategies
and actions as well as improve cross-sectoral cooperation and by doing so support destinations
to promote and implement sustainable mobility in tourism.
Wednesday, January 25th - Utrecht
General information about Utrecht: https://www.holland.com/global/tourism/destinations/utrecht.htm
12:00
Welcome at location for lunch
Venue. Paushuize (Kromme Nieuwegracht 49, 3512 HE Utrecht) – Lunch
offered by Provincial Minister Arne Schaddelee of Province of Utrecht
12.20
Start lunch – Meet the members of THE PEP Partnership Active Mobility
Welcome by Arne Schaddelee, Utrecht bike story by Ronald Besemer and
Jelle Bakker (Bicycle Mayor of Utrecht)
14:00 Cycling OR walking tour (3 groups)
• Focus on multimodality, first and last mile solutions together with
Herbert Tiemens (10 pax max.)
• City-region connections; sustainable mobility together with Jitte
Roosendaal (10 pax max.)
• Mobility management at destinations, integration biking and walking
(WALKING GROUP)
16:00 Tour around bike parking Utrecht Central Station
17:00 Closing the day (Location: Municipality of Utrecht)
Debriefing
Welcome speech by Susanne Schilderman (Municipality Utrecht)
Concluding words by Robert Thaler, Thierry du Crest and Anouk van Eekelen
Networking drinks
18:30 Joint dinner – goodbye for members of THE PEP Partnership Active Mobility
Venue: Metro citykitchen (Utrecht) – costs to be covered by the participants!
Individual trip back to The Hague (approx.. 40mins)
AGENDA THE PEP PARTNERSHIP
SUSTAINABLE TOURISM MOBILITY
3RD PARTNERSHIP MEETING, 25TH/26TH JANUARY 2023
UTRECHT / THE HAGUE (NETHERLANDS)
General information about The Hague: https://www.holland.com/global/tourism/destinations/the-hague.htm
09.30
Welcome: Sustainable Tourism and Mobility in the Netherlands
Location: Ministry of Economic Affairs and Climate, The Hague,
Bezuidenhoutseweg 73
Renske Klunder (Dutch Ministry of Economic Affairs and Climate) & Anouk
van Eekelen (Netherlands Board of Tourism and Conventions)
Monika Klinger (Austrian Federal Ministry of Labour and Economy) & Robert
Thaler (Austrian Federal Ministry of Climate Action, Environment, Energy,
Mobility, Innovation and Technology & Member of THE PEP Bureau)
Virginia Fuse, UN ECE / THE PEP Secretariat
09.45 Expert presentations
The Netherlands policy development and
experiences to sustainable tourism and mobility:
• Perspective 2030: the national vision of the
Netherlands and destination management incl.
first/last mile services
• Roadmap: climate neutral 2030 in The
Netherlands an example of the Dutch “polder
culture”
Renske Klunder &
Anouk van Eekelen
Good practices to inspire us and learn from -
Examples from the (trans-)national level
• Simplon Alliance: Action plan for the Alps
2022 including Sustainable Mobility in Tourism
• Planning and decision support for sustainable
tourism mobility in Sweden: The Miranda tool
and the case of Kalmar
Tobias Heldt
Please let us know whether you would like to
share an example from your country/your work
with the other members of the partnership. We will
be happy to add it here!
THE PEP Toolbox Sustainable Tourism
Mobility – status and expected next steps
Andreas Friedwagner
12:30 Joint lunch
Mobility requirements of different user groups: trends, behaviour, future
mobility
13:30 Presentation of case studies / good practices
• The Travellers Perspective: Marketing &
communication - sustainable mobility for
destination the Netherlands
Anouk van Eekelen
• Pandemic travel behaviour of young travellers Ilil Beyer Bartana
• PaNaNet+ Participation of people with special
needs in ecotourism
Miklós Berencsi
Please let us know whether you would like to share an example from your
country/your work with the other members of the partnership. We will be
happy to add it here!
Tour de table: how is your institution/country
dealing with mobility requirements of different user
groups? Are there any current
challenges/initiatives?
All participants
15:00
How to cover the topic of mobility requirements in
the toolbox? Scope, possible recommendations
etc.
Interactive session
16:00 Conclusions and next steps Renske Klunder, Monika
Klinger, Robert Thaler
16:30 Field visit to the Royal Dutch Touring Club ANWB in The Hague
18:00/
18:30
Drinks & dinner in The Hague
Practical information
Registration
To register for the meeting please send an email to [email protected]
Accommodation
Hotel recommendations close to The Hague Central Station (most practical for this program):
• Eden Babylon Hotel The Hague Central Station (€ 165 per night incl breakfast, + 18,50 for 2nd
person if you book per email or phone with reference DBA-
Other options close to The Hague Central Station/ city centre:
• Moxy The Hague Wijnhaven 6 (5 minutes walking)
• Holiday inn Express, Lange Houtstraat 5 (parliament & city centre 10 minutes walking)
• Novotel The Hague, Hofweg 5-7 (10 minutes walking, parliament & city centre)
• Paleishotel and Parkhotel (18 minutes walking, close to the Royal Noordeinde Palace)
And lots of other little boutique hotels, B&B’s look here for all options.
Clothing
In The Netherlands the weather in winter can be cold and rainy. Please be aware of part of the program
is outside. https://www.holland.com/global/tourism/information/weather/packing-a-suitcase-what-clothes-
should-you-bring.htm
Transport
While we recommend to stay in a hotel in The Hague, the venues of the meetings will vary throughout
the days. In order to not cause any delays in the schedule please make sure that you buy your train
tickets in advance! You can check https://www.ns.nl/en for more details.
Luggage
On the day of arrival and/or departure it is possible to store your luggage at railway stations. Here you
can read how it works: https://www.ns.nl/en/travel-information/luggage/luggage-at-the-station.html
Costs
All partners need to cover costs for travel expenses (including the trips from and to The Hague), daily
allowances and accommodation. The costs for coffee breaks, lunches and dinners – except the dinner
Please be aware that this meeting of the partnership will be organized as a live meeting. In case you
can’t make it to the Netherlands there will be the possibility to follow some sessions via livestream with
limited possibilities for interaction (chat). The link to the livestream will be provided in due time.
For any other question concerning THE PEP Partnership, please contact:
These tables show forest products production and trade forecasts for 2022 and 2023. These cover roundwood (logs, pulpwood and fuel wood), sawnwood (coniferous and non-coniferous), wood-based panels (plywood, particle board, OSB and fibreboard), pulp, paper and wood pellets. The forecast data are provided by national correspondents and approved at the meeting of the Committee on Forests and the Forest Industry.
Languages and translations
English
List of tables
List of Tables and Notes
Table 1 - Sawn Softwood
Table 2 - Sawn Hardwood (total)
Table 2a - Sawn Hardwood (temperate)
Table 2b - Sawn Hardwood (tropical)
Table 3 - Veneer Sheets
Table 4 - Plywood
Table 5 - Particle Board (excluding OSB)
Table 5a - Oriented Strand Board
Table 6 - Fibreboard
Table 6a - Hardboard
Table 6b - MDF/HDF
Table 6c - Other Fibreboard
Table 7 - Wood Pulp
Table 8 - Paper and Paperboard
Table 9 - Removals of wood in the rough
Table 9a - Removals of wood in the rough (softwood)
Table 9b - Removals of wood in the rough (hardwood)
Table 10 - Softwood sawlogs
Table 11 - Hardwood sawlogs
Table 11a - Hardwood logs (temperate)
Table 11b - Hardwood logs (tropical)
Table 12 - Pulpwood
Table 12a - Pulpwood (softwood)
Table 12b - Pulpwood (hardwood)
Table 12c - Wood Residues, Chips and Particles
Table 13 - Wood Pellets
Table 14 - Europe: Summary table of market forecasts for 2022 and 2023
Table 15 - North America: Summary table of market forecasts for 2022 and 2023
Source: UNECE Committee on Forests and the Forest Industry , November 2022, http://www.unece.org/forests/fpm/timbercommittee.html
Notes: Data in italics are estimated by the secretariat. EECCA is Eastern Europe, Caucasus and Central Asia.
Data for the two latest years are forecasts.
In contrast to previous years, data are shown only for countries providing forecasts. Sub-regional totals are only for reporting countries.
Data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subregion. No sub-regional forecast is provided for "Eastern Europe, Caucasus and Central Asia" due to lack of information provided by countries in this sub-region.
Germany – Pellets consumption is an estimated consumption as reported by Pellet Federation. There is a difference between reported consumption and apparent consumption of 242,000 metric tonnes and 214,000 metric tonnes, respectively. For 2022 and 2023, this difference is additionally stored at newly installed plants, i.e. sold but not yet consumed.
Slovenia trade figures are lower than actual as they do not include estimates for non-recorded trade with other EU countries.
Polish trade data exclude non-reporters (estimated at 1-3% of total). Residues exclude recovered wood. Polish sawnwood data exclude shop lumber. Wood pulp production is in metric tonnes, not air-dried, and excludes recovered fibre pulp. Wood pellets production data includes briquettes and non-wood based material.
United Kingdom production figures for OSB is secretariat estimate.
Softwood = coniferous, hardwood = non-coniferous
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and future year.
Countries with nil, missing or confidential data for all years on a table are not shown.
Table 1
5.C
TABLE 1
SAWN SOFTWOOD
SCIAGES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
6,547
6,469
6,400
10,582
10,370
10,300
1,911
2,045
2,000
5,947
5,947
5,900
Autriche
Bulgaria
Bulgaria
528
...
...
638
...
...
25
...
...
135
...
...
Bulgarie
Cyprus
Cyprus
32
33
32
2
1
1
31
32
31
0
0
0
Chypre
Czech Republic
Czech Republic
3,250
3,249
3,272
5,015
5,144
5,279
526
555
560
2,291
2,450
2,567
République tchèque
Estonia
Estonia
2,296
1,910
1,910
1,600
1,600
1,600
1,699
1,360
1,360
1,003
1,050
1,050
Estonie
Finland
Finland
3,731
3,650
3,570
11,900
11,750
12,200
547
350
70
8,716
8,450
8,700
Finlande
Germany
Germany
20,104
19,800
19,500
25,313
25,300
25,000
5,700
5,000
4,500
10,909
10,500
10,000
Allemagne
Latvia
Latvia
1,968
1,500
1,300
3,641
3,500
3,300
1,463
900
700
3,136
2,900
2,700
Lettonie
Luxembourg
Luxembourg
56
43
43
39
39
39
28
5
5
12
1
1
Luxembourg
Malta
Malta
7
8
9
0
0
0
7
8
9
0
0
0
Malte
Netherlands
Netherlands
3,036
2,905
2,850
110
100
100
3,408
3,276
3,226
481
470
475
Pays-Bas
Poland
Poland
4,857
4,750
4,900
4,583
4,500
4,650
1,239
1,250
1,300
965
1,000
1,050
Pologne
Portugal
Portugal
632
730
665
817
850
840
121
130
125
306
250
300
Portugal
Serbia
Serbia
379
400
422
99
110
120
295
300
310
15
10
8
Serbie
Slovakia
Slovakia
563
650
675
1,302
1,300
1,325
324
350
350
1,063
1,000
1,000
Slovaquie
Slovenia
Slovenia
627
600
550
904
1,000
970
563
500
500
840
900
920
Slovénie
Sweden
Sweden
6,954
6,450
5,300
19,000
18,500
17,500
514
450
300
12,560
12,500
12,500
Suède
Switzerland
Switzerland
1,245
1,275
1,315
1,150
1,180
1,220
280
275
270
185
180
175
Suisse
UK
United Kingdom
10,960
8,920
9,410
3,574
3,010
3,400
7,623
6,150
6,250
237
240
240
Royaume-Uni
Total Europe
67,771
63,342
62,124
90,268
88,255
87,844
26,303
22,936
21,866
48,800
47,848
47,586
Total Europe
Canada
Canada a
19,841
18,893
24,156
55,842
52,183
50,290
1,030
752
745
37,031
34,041
26,878
Canada a
United States
United States a
88,263
88,484
89,272
63,417
64,178
64,820
26,931
26,270
26,533
2,085
1,963
2,081
Etats-Unis a
Total North America
108,104
107,378
113,428
119,259
116,361
115,109
27,961
27,021
27,277
39,116
36,005
28,959
Total Amérique du Nord
a converted from nominal to actual size using factor of 0.72
a convertis du dimension nominale au véritable avec une facteur du 0.72
Table 2
5.NC
TABLE 2
SAWN HARDWOOD (total)
SCIAGES NON-CONIFERES (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
186
215
220
182
178
170
177
210
220
173
173
170
Autriche
Bulgaria
Bulgaria
71
...
...
79
...
...
22
...
...
30
...
...
Bulgarie
Cyprus
Cyprus
6
7
6
0
0
0
6
7
6
0
0
0
Chypre
Czech Republic
Czech Republic
416
427
430
145
147
151
338
340
344
67
60
65
République tchèque
Estonia
Estonia
230
150
150
150
100
100
177
140
140
97
90
90
Estonie
Finland
Finland
64
55
55
54
50
50
30
25
25
20
20
20
Finlande
Germany
Germany
786
760
700
1,061
1,060
1,000
459
400
400
735
700
700
Allemagne
Latvia
Latvia
234
160
150
797
850
750
75
60
50
638
750
650
Lettonie
Luxembourg
Luxembourg
38
51
51
39
39
39
18
12
12
19
0
0
Luxembourg
Malta
Malta
7
7
8
0
0
0
7
7
8
0
0
0
Malte
Netherlands
Netherlands
309
301
283
38
40
40
343
331
308
72
70
65
Pays-Bas
Poland
Poland
512
500
540
486
460
510
312
350
380
286
310
350
Pologne
Portugal
Portugal
224
220
225
148
160
150
106
90
100
31
30
25
Portugal
Serbia
Serbia
185
197
200
353
382
390
103
95
100
271
280
290
Serbie
Slovakia
Slovakia
225
325
350
350
375
400
52
100
100
177
150
150
Slovaquie
Slovenia
Slovenia
121
55
80
140
125
130
99
100
100
118
170
150
Slovénie
Sweden
Sweden
111
110
110
100
100
100
50
45
45
39
35
35
Suède
Switzerland
Switzerland
80
85
90
55
60
65
40
40
40
15
15
15
Suisse
UK
United Kingdom
534
540
540
37
40
40
536
540
540
39
40
40
Royaume-Uni
Total Europe
4,338
4,166
4,188
4,215
4,166
4,085
2,950
2,892
2,918
2,826
2,893
2,815
Total Europe
Canada
Canada
1,208
1,229
1,116
880
813
714
798
894
779
470
478
377
Canada
United States
United States
14,348
15,065
14,707
17,326
17,607
17,467
717
1,040
878
3,695
3,581
3,638
Etats-Unis
Total North America
15,556
16,295
15,823
18,206
18,420
18,181
1,514
1,934
1,658
4,165
4,059
4,015
Total Amérique du Nord
Table 2a
TABLE 2a
SAWN HARDWOOD (temperate)
SCIAGES NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
182
211
216
182
178
170
172
205
215
172
172
169
Autriche
Bulgaria
Bulgaria
70
...
...
79
...
...
21
...
...
30
...
...
Bulgarie
Cyprus
Cyprus
4
3
2
0
0
0
4
3
2
0
0
0
Chypre
Czech Republic
Czech Republic
409
421
424
145
147
151
329
331
335
65
57
62
République tchèque
Estonia
Estonia
227
149
149
150
100
100
172
136
136
94
87
87
Estonie
Finland
Finland
63
54
54
54
50
50
25
20
20
16
16
16
Finlande
Germany
Germany
747
718
658
1,059
1,058
998
385
325
325
698
665
665
Allemagne
Luxembourg
Luxembourg
27
49
49
39
39
39
6
10
10
19
0
0
Luxembourg
Malta
Malta
6
6
7
0
0
0
6
6
7
0
0
0
Malte
Netherlands
Netherlands
166
160
142
31
32
32
184
177
154
49
49
45
Pays-Bas
Poland
Poland
498
485
524
486
459
509
295
333
362
283
307
347
Pologne
Portugal
Portugal
222
190
197
136
150
137
74
50
70
-12
10
10
Portugal
Serbia
Serbia
184
196
199
352
381
389
103
95
100
271
280
290
Serbie
Slovenia
Slovenia
119
52
77
140
125
130
96
97
97
118
170
150
Slovénie
Sweden
Sweden
111
109
109
100
100
100
49
44
44
37
35
35
Suède
Switzerland
Switzerland
71
76
81
52
57
62
34
34
34
15
15
15
Suisse
UK
United Kingdom
458
460
460
37
40
40
456
460
460
36
40
40
Royaume-Uni
Total Europe
3,563
3,340
3,349
3,042
2,917
2,908
2,411
2,326
2,372
1,890
1,903
1,931
Total Europe
Canada
Canada
1,202
1,214
1,107
880
813
714
781
865
753
459
464
360
Canada
United States
United States
14,162
14,835
14,498
17,326
17,607
17,467
491
773
632
3,656
3,545
3,600
Etats-Unis
Total North America
15,364
16,049
15,605
18,206
18,420
18,181
1,272
1,638
1,385
4,115
4,009
3,960
Total Amérique du Nord
Table 2b
5.NC.T
TABLE 2b
SAWN HARDWOOD (tropical)
SCIAGES NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
4
4
4
0
0
0
5
5
5
1
1
1
Autriche
Bulgaria
Bulgaria
1
...
...
0
...
...
1
...
...
0
...
...
Bulgarie
Cyprus
Cyprus
2
4
4
0
0
0
2
4
4
0
0
0
Chypre
Czech Republic
Czech Republic
7
6
6
0
0
0
9
9
9
2
3
3
République tchèque
Estonia
Estonia
3
1
1
0
0
0
5
4
4
2
3
3
Estonie
Finland
Finland
1
1
1
0
0
0
5
5
5
4
4
4
Finlande
Germany
Germany
39
42
42
2
2
2
74
75
75
37
35
35
Allemagne
Luxembourg
Luxembourg
12
2
2
0
0
0
12
2
2
0
0
0
Luxembourg
Malta
Malta
1
1
1
0
0
0
1
1
1
0
0
0
Malte
Netherlands
Netherlands
143
141
141
8
8
8
159
154
153
23
21
20
Pays-Bas
Poland
Poland
14
15
16
0
1
1
17
17
18
3
3
3
Pologne
Portugal
Portugal
2
30
28
12
10
13
32
40
30
43
20
15
Portugal
Serbia
Serbia
1
1
1
1
1
1
0
0
0
0
0
0
Serbie
Slovenia
Slovenia
2
3
3
0
0
0
3
3
3
0
0
0
Slovénie
Sweden
Sweden
-0
1
1
0
0
0
1
1
1
1
0
0
Suède
Switzerland
Switzerland
9
9
9
3
3
3
6
6
6
0
0
0
Suisse
UK
United Kingdom
76
80
80
0
0
0
79
80
80
3
0
0
Royaume-Uni
Total Europe
316
341
339
26
25
28
412
406
396
122
90
84
Total Europe
Canada
Canada
6
16
9
0
0
0
16
29
26
11
14
17
Canada
United States
United States
186
230
208
0
0
0
226
267
246
39
36
38
Etats-Unis
Total North America
192
246
217
0
0
0
242
296
273
50
50
55
Total Amérique du Nord
Table 3
6.1x
TABLE 3
VENEER SHEETS
FEUILLES DE PLACAGE
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
59
56
56
8
7
7
70
65
65
18
16
16
Autriche
Bulgaria
Bulgaria
31
...
...
18
...
...
24
...
...
10
...
...
Bulgarie
Cyprus
Cyprus
1
1
1
0
0
0
1
1
1
0
0
0
Chypre
Czech Republic
Czech Republic
11
20
21
30
32
33
41
50
54
60
62
66
République tchèque
Estonia
Estonia
103
140
140
110
140
140
85
86
90
92
86
90
Estonie
Finland
Finland
8
8
7
170
184
178
9
9
9
171
185
180
Finlande
Germany
Germany
167
165
160
116
115
110
111
110
110
59
60
60
Allemagne
Latvia
Latvia
155
85
55
42
45
45
154
110
50
41
70
40
Lettonie
Luxembourg
Luxembourg
1
0
0
0
0
0
1
0
0
0
0
0
Luxembourg
Malta
Malta
1
1
2
0
0
0
1
1
2
0
0
0
Malte
Netherlands
Netherlands
34
34
34
0
0
0
41
41
41
7
7
7
Pays-Bas
Poland
Poland
146
145
150
46
42
44
121
125
130
21
22
24
Pologne
Portugal
Portugal
-71
12
3
21
22
23
37
30
30
130
40
50
Portugal
Serbia
Serbia
19
18
23
27
22
25
13
14
15
21
18
17
Serbie
Slovakia
Slovakia
16
25
25
29
30
30
21
20
20
34
25
25
Slovaquie
Slovenia
Slovenia
8
4
5
23
24
21
14
14
14
29
34
30
Slovénie
Sweden
Sweden
30
25
20
60
55
50
17
20
15
47
50
45
Suède
Switzerland
Switzerland
3
3
3
0
0
0
4
4
4
1
1
1
Suisse
UK
United Kingdom
14
10
10
0
0
0
14
10
10
0
0
0
Royaume-Uni
Total Europe
737
752
715
700
718
706
779
710
660
742
676
651
Total Europe
Canada
Canada
144
181
173
581
565
565
183
222
230
620
607
622
Canada
United States
United States
2,675
2,784
2,730
2,284
2,284
2,284
671
759
715
281
258
269
Etats-Unis
Total North America
2,819
2,965
2,903
2,866
2,849
2,849
854
981
945
901
865
891
Total Amérique du Nord
Note: Definition of veneers now includes all production (including converted directly to plywood). However most replies here continue to exclude the part going to plywood.
La définition des placages comprend maintenant toute la production (y compris la conversion directe en contreplaqué).
Cependant, la plupart des réponses continuent d'exclure la partie destinée au contreplaqué.
Table 4
6.2x
TABLE 4
PLYWOOD
CONTREPLAQUES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
94
85
80
184
180
170
267
205
200
357
300
290
Autriche
Bulgaria
Bulgaria
65
...
...
37
...
...
66
...
...
38
...
...
Bulgarie
Cyprus
Cyprus
13
15
14
0
0
0
13
15
14
0
0
0
Chypre
Czech Republic
Czech Republic
201
199
201
260
262
263
186
188
187
245
251
249
République tchèque
Estonia
Estonia
102
100
100
190
180
180
118
110
110
206
190
190
Estonie
Finland
Finland
296
280
285
1,130
1,120
1,120
121
110
100
955
950
935
Finlande
Germany
Germany
1,185
1,170
1,170
103
100
100
1,464
1,450
1,450
382
380
380
Allemagne
Latvia
Latvia
68
30
30
310
300
250
98
60
30
340
330
250
Lettonie
Luxembourg
Luxembourg
11
2
2
0
0
0
12
2
2
1
0
0
Luxembourg
Malta
Malta
10
11
11
0
0
0
10
11
11
0
0
0
Malte
Netherlands
Netherlands
600
580
565
0
0
0
695
670
650
95
90
85
Pays-Bas
Poland
Poland
773
770
790
543
540
550
604
620
650
374
390
410
Pologne
Portugal
Portugal
215
215
200
126
110
100
116
130
120
27
25
20
Portugal
Serbia
Serbia
41
43
48
15
14
17
30
32
34
4
3
3
Serbie
Slovakia
Slovakia
232
320
345
307
375
400
65
70
70
140
125
125
Slovaquie
Slovenia
Slovenia
79
66
68
102
96
98
57
50
50
80
80
80
Slovénie
Sweden
Sweden
260
245
245
101
90
90
206
200
200
47
45
45
Suède
Switzerland
Switzerland
209
214
220
7
7
8
205
210
215
3
3
3
Suisse
UK
United Kingdom
1,486
1,490
1,490
0
0
0
1,541
1,540
1,540
55
50
50
Royaume-Uni
Total Europe
5,940
5,835
5,864
3,415
3,374
3,346
5,874
5,673
5,633
3,349
3,212
3,115
Total Europe
Canada
Canada
2,485
2,288
2,490
1,698
1,644
1,639
1,421
1,144
1,406
634
500
555
Canada
United States
United States
17,031
17,295
17,163
9,705
9,895
9,800
8,086
8,163
8,124
759
762
761
Etats-Unis
Total North America
19,516
19,583
19,653
11,403
11,539
11,439
9,507
9,306
9,530
1,393
1,263
1,316
Total Amérique du Nord
Table 5
6.3xPB
TABLE 5
PARTICLE BOARD (excluding OSB)
PANNEAUX DE PARTICULES (ne comprennent pas l'OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
868
776
766
2,550
2,350
2,300
361
370
360
2,043
1,944
1,894
Autriche
Bulgaria
Bulgaria
487
...
...
773
...
...
118
...
...
403
...
...
Bulgarie
Cyprus
Cyprus
47
42
41
0
0
0
47
42
41
0
0
0
Chypre
Czech Republic
Czech Republic
739
688
671
965
945
930
578
598
577
804
855
836
République tchèque
Estonia
Estonia
182
155
155
210
130
130
76
85
85
103
60
60
Estonie
Finland
Finland
107
119
119
54
50
50
83
93
93
30
24
24
Finlande
Germany
Germany
6,015
5,970
5,870
6,036
6,020
5,920
2,142
2,100
2,050
2,162
2,150
2,100
Allemagne
Latvia
Latvia
139
120
180
350
300
300
53
70
80
264
250
200
Lettonie
Luxembourg
Luxembourg
15
3
3
0
0
0
16
4
4
2
1
1
Luxembourg
Malta
Malta
10
10
11
0
0
0
10
10
11
0
0
0
Malte
Netherlands
Netherlands
446
430
430
0
0
0
520
500
500
74
70
70
Pays-Bas
Poland
Poland
7,601
7,700
7,740
6,333
6,370
6,370
2,093
2,150
2,220
824
820
850
Pologne
Portugal
Portugal
451
527
427
743
730
720
313
295
304
605
498
597
Portugal
Serbia
Serbia
420
417
422
272
230
235
208
235
240
60
48
53
Serbie
Slovakia
Slovakia
182
220
215
608
625
625
143
140
135
568
545
545
Slovaquie
Slovenia
Slovenia
155
155
147
0
0
0
162
163
154
6
8
7
Slovénie
Sweden
Sweden
971
985
975
561
550
550
506
520
510
97
85
85
Suède
Switzerland
Switzerland
280
300
320
380
390
400
125
130
135
225
220
215
Suisse
UK
United Kingdom
2,664
2,242
2,242
2,090
1,722
1,722
638
600
600
65
80
80
Royaume-Uni
Total Europe
21,780
20,859
20,734
21,926
20,412
20,252
8,189
8,105
8,099
8,336
7,658
7,617
Total Europe
Canada
Canada
1,487
1,594
1,591
1,647
1,724
1,686
593
594
586
754
724
681
Canada
United States
United States
5,111
7,189
5,725
4,136
4,220
3,874
1,462
3,144
2,159
488
175
309
Etats-Unis
Total North America
6,597
8,783
7,316
5,783
5,944
5,560
2,056
3,738
2,745
1,241
899
989
Total Amérique du Nord
Data are calculated by subtracting OSB from the particleboard/OSB total - les données sont calculées en soustrayant les OSB du total des panneaux de particules et OSB.
Table 5a
6.3.1
TABLE 5a
ORIENTED STRAND BOARD (OSB)
PANNEAUX STRUCTURAUX ORIENTES (OSB)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
186
224
214
0
0
0
192
230
220
6
6
6
Autriche
Bulgaria
Bulgaria
175
...
...
252
...
...
8
...
...
85
...
...
Bulgarie
Cyprus
Cyprus
15
18
17
0
0
0
15
18
17
0
0
0
Chypre
Czech Republic
Czech Republic
355
360
366
745
770
795
127
132
135
517
542
564
République tchèque
Estonia
Estonia
44
45
45
0
0
0
44
45
45
1
0
0
Estonie
Finland
Finland
47
47
47
0
0
0
47
47
47
0
0
0
Finlande
Germany
Germany
1,473
1,480
1,480
1,282
1,280
1,280
746
750
750
555
550
550
Allemagne
Latvia
Latvia
211
160
100
700
600
600
73
60
50
562
500
550
Lettonie
Luxembourg
Luxembourg
117
265
265
338
338
338
7
1
1
229
74
74
Luxembourg
Netherlands
Netherlands
192
185
185
0
0
0
208
200
200
16
15
15
Pays-Bas
Poland
Poland
802
800
860
827
830
880
316
350
380
341
380
400
Pologne
Portugal
Portugal
31
33
33
0
0
0
34
35
36
3
2
3
Portugal
Serbia
Serbia
44
53
58
0
0
0
46
55
60
2
2
2
Serbie
Slovakia
Slovakia
91
90
95
0
0
0
94
95
100
3
5
5
Slovaquie
Slovenia
Slovenia
33
35
34
0
0
0
36
37
36
2
2
2
Slovénie
Sweden
Sweden
116
95
95
0
0
0
121
100
100
5
5
5
Suède
Switzerland
Switzerland
90
90
90
0
0
0
90
90
90
0
0
0
Suisse
UK
United Kingdom
925
868
868
598
598
598
461
440
440
133
170
170
Royaume-Uni
Total Europe
4,948
4,848
4,852
4,741
4,416
4,491
2,665
2,685
2,707
2,459
2,253
2,346
Total Europe
Canada
Canada
1,618
1,589
1,570
7,240
7,581
7,646
124
72
72
5,746
6,064
6,147
Canada
United States
United States
19,804
20,091
20,381
13,839
14,040
14,243
6,147
6,236
6,326
182
185
188
Etats-Unis
Total North America
21,422
21,680
21,951
21,079
21,621
21,889
6,271
6,308
6,398
5,928
6,249
6,335
Total Amérique du Nord
Table 6
TABLE 6
FIBREBOARD
PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
504
469
445
690
570
545
370
340
330
556
441
430
Autriche
Bulgaria
Bulgaria
106
...
...
75
...
...
118
...
...
87
...
...
Bulgarie
Cyprus
Cyprus
15
16
15
0
0
0
15
16
15
0
0
0
Chypre
Czech Republic
Czech Republic
462
470
481
45
46
47
574
590
609
157
166
175
République tchèque
Estonia
Estonia
74
68
68
80
70
70
77
69
69
83
71
71
Estonie
Finland
Finland
162
165
165
46
46
46
164
161
161
48
41
41
Finlande
Germany
Germany
4,401
4,425
4,335
6,105
6,100
6,000
1,944
1,940
1,865
3,648
3,615
3,530
Allemagne
Latvia
Latvia
19
11
6
37
35
20
69
57
47
87
81
61
Lettonie
Luxembourg
Luxembourg
13
128
128
147
147
147
19
5
5
153
24
24
Luxembourg
Malta
Malta
...
...
...
...
...
...
...
...
...
...
...
...
Malte
Netherlands
Netherlands
454
436
436
29
29
29
572
550
550
147
143
143
Pays-Bas
Poland
Poland
4,398
4,650
4,770
5,750
5,850
6,050
912
970
990
2,264
2,170
2,270
Pologne
Portugal
Portugal
488
510
500
555
550
540
336
335
340
404
375
380
Portugal
Serbia
Serbia
123
151
163
21
18
20
143
168
181
41
35
38
Serbie
Slovakia
Slovakia
248
239
239
0
0
0
275
265
265
27
26
26
Slovaquie
Slovenia
Slovenia
26
30
30
136
135
135
57
55
55
167
160
160
Slovénie
Sweden
Sweden
308
317
293
0
0
0
391
395
365
84
78
72
Suède
Switzerland
Switzerland
292
302
312
205
210
215
266
266
266
179
174
169
Suisse
UK
United Kingdom
1,807
1,780
1,710
798
900
850
1,080
950
930
72
70
70
Royaume-Uni
Total Europe
13,901
14,168
14,097
14,719
14,706
14,714
7,385
7,132
7,043
8,203
7,670
7,660
Total Europe
Canada
Canada
1,492
1,348
1,355
1,349
1,395
1,395
1,009
889
885
866
936
924
Canada
United States
United States
9,727
10,134
9,985
7,560
7,691
7,663
3,008
3,190
3,123
841
747
801
Etats-Unis
Total North America
11,219
11,482
11,340
8,909
9,086
9,058
4,017
4,079
4,007
1,707
1,683
1,725
Total Amérique du Nord
Table 6a
6.4.1
TABLE 6a
HARDBOARD
PANNEAUX DURS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
32
36
34
75
48
45
17
20
19
60
32
30
Autriche
Bulgaria
Bulgaria
45
...
...
51
...
...
40
...
...
46
...
...
Bulgarie
Cyprus
Cyprus
1
1
1
0
0
0
1
1
1
0
0
0
Chypre
Czech Republic
Czech Republic
146
146
147
0
0
0
167
168
170
21
22
23
République tchèque
Estonia
Estonia
27
24
24
0
0
0
34
30
30
7
6
6
Estonie
Finland
Finland
26
30
30
46
46
46
21
20
20
41
36
36
Finlande
Germany
Germany
213
210
210
0
0
0
242
240
240
29
30
30
Allemagne
Latvia
Latvia
11
10
5
0
0
0
23
20
15
12
10
10
Lettonie
Luxembourg
Luxembourg
-71
-9
-9
0
0
0
2
1
1
73
10
10
Luxembourg
Netherlands
Netherlands
44
35
35
0
0
0
66
55
55
22
20
20
Pays-Bas
Poland
Poland
-212
10
10
76
100
100
139
180
180
427
270
270
Pologne
Portugal
Portugal
44
20
30
12
0
0
42
30
40
10
10
10
Portugal
Serbia
Serbia
33
38
41
21
18
20
31
35
37
19
15
16
Serbie
Slovakia
Slovakia
17
20
20
0
0
0
22
25
25
5
5
5
Slovaquie
Slovenia
Slovenia
1
0
0
0
0
0
8
6
6
7
6
6
Slovénie
Sweden
Sweden
75
87
78
0
0
0
88
100
90
14
13
12
Suède
Switzerland
Switzerland
13
13
13
0
0
0
21
21
21
8
8
8
Suisse
UK
United Kingdom
101
100
100
0
0
0
111
110
110
11
10
10
Royaume-Uni
Total Europe
544
771
769
281
212
211
1,075
1,062
1,060
812
503
502
Total Europe
Canada
Canada
46
42
36
90
90
90
68
60
66
112
108
120
Canada
United States
United States
503
509
514
499
504
509
252
255
258
248
250
253
Etats-Unis
Total North America
549
551
550
589
594
599
320
315
324
360
358
373
Total Amérique du Nord
Table 6b
6.4.2
TABLE 6b
MDF/HDF
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
316
283
265
615
522
500
192
166
161
491
405
396
Autriche
Bulgaria
Bulgaria
58
...
...
24
...
...
75
...
...
41
...
...
Bulgarie
Cyprus
Cyprus
13
13
12
0
0
0
13
13
12
0
0
0
Chypre
Czech Republic
Czech Republic
248
249
251
45
46
47
243
250
258
40
47
54
République tchèque
Estonia
Estonia
21
20
20
0
0
0
38
35
35
17
15
15
Estonie
Finland
Finland
117
116
116
0
0
0
124
121
121
7
5
5
Finlande
Germany
Germany
2,385
2,425
2,400
4,693
4,700
4,650
625
625
600
2,932
2,900
2,850
Allemagne
Latvia
Latvia
1
0
0
37
35
20
28
25
20
64
60
40
Lettonie
Luxembourg
Luxembourg
80
136
136
147
147
147
13
3
3
80
14
14
Luxembourg
Malta
Malta
5
5
5
0
0
0
5
5
5
0
0
0
Malte
Netherlands
Netherlands
291
285
285
0
0
0
408
400
400
117
115
115
Pays-Bas
Poland
Poland
3,533
3,560
3,630
3,542
3,600
3,700
743
760
780
752
800
850
Pologne
Portugal
Portugal
456
485
465
535
550
540
280
285
280
359
350
355
Portugal
Serbia
Serbia
88
110
118
0
0
0
110
130
140
22
20
22
Serbie
Slovakia
Slovakia
162
150
150
0
0
0
183
170
170
22
20
20
Slovaquie
Slovenia
Slovenia
20
29
29
136
135
135
39
43
43
155
149
149
Slovénie
Sweden
Sweden
213
210
200
0
0
0
272
265
250
59
55
50
Suède
Switzerland
Switzerland
105
110
115
205
210
215
70
65
60
170
165
160
Suisse
UK
United Kingdom
1,622
1,600
1,530
798
900
850
878
750
730
54
50
50
Royaume-Uni
Total Europe
9,734
9,786
9,727
10,776
10,845
10,804
4,341
4,111
4,068
5,383
5,170
5,145
Total Europe
Canada
Canada
1,301
1,135
1,153
1,159
1,205
1,205
780
648
639
637
718
691
Canada
United States
United States
6,012
6,042
6,073
3,882
3,901
3,921
2,552
2,565
2,578
422
424
426
Etats-Unis
Total North America
7,313
7,177
7,226
5,041
5,106
5,126
3,332
3,213
3,217
1,059
1,142
1,117
Total Amérique du Nord
Table 6c
6.4.3
TABLE 6c
OTHER FIBREBOARD
AUTRES PANNEAUX DE FIBRES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
157
150
146
0
0
0
162
154
150
5
4
4
Autriche
Bulgaria
Bulgaria
3
...
...
0
...
...
3
...
...
0
...
...
Bulgarie
Cyprus
Cyprus
1
2
2
0
0
0
1
2
2
0
0
0
Chypre
Czech Republic
Czech Republic
68
75
83
0
0
0
164
172
181
96
97
98
République tchèque
Estonia
Estonia
26
24
24
80
70
70
5
4
4
59
50
50
Estonie
Finland
Finland
19
19
19
0
0
0
20
20
20
0
0
0
Finlande
Germany
Germany
1,803
1,790
1,725
1,412
1,400
1,350
1,078
1,075
1,025
686
685
650
Allemagne
Latvia
Latvia
7
1
1
0
0
0
18
12
12
11
11
11
Lettonie
Luxembourg
Luxembourg
4
1
1
0
0
0
4
1
1
0
0
0
Luxembourg
Malta
Malta
1
1
2
0
0
0
1
1
2
0
0
0
Malte
Netherlands
Netherlands
119
116
116
29
29
29
98
95
95
8
8
8
Pays-Bas
Poland
Poland
1,077
1,080
1,130
2,132
2,150
2,250
30
30
30
1,085
1,100
1,150
Pologne
Portugal
Portugal
-12
5
5
8
0
0
15
20
20
35
15
15
Portugal
Serbia
Serbia
2
3
4
0
0
0
2
3
4
0
0
0
Serbie
Slovakia
Slovakia
70
69
69
0
0
0
70
70
70
0
1
1
Slovaquie
Slovenia
Slovenia
5
1
1
0
0
0
10
6
6
5
5
5
Slovénie
Sweden
Sweden
20
20
15
0
0
0
31
30
25
11
10
10
Suède
Switzerland
Switzerland
174
179
184
0
0
0
175
180
185
1
1
1
Suisse
UK
United Kingdom
84
80
80
0
0
0
91
90
90
7
10
10
Royaume-Uni
Total Europe
3,628
3,616
3,607
3,661
3,649
3,699
1,976
1,965
1,922
2,009
1,997
2,013
Total Europe
Canada
Canada
144
171
166
100
100
100
162
181
180
117
110
114
Canada
United States
United States
3,212
3,583
3,398
3,179
3,286
3,233
204
370
287
171
73
122
Etats-Unis
Total North America
3,357
3,754
3,564
3,279
3,386
3,333
366
551
467
288
183
236
Total Amérique du Nord
Table 7
7.x
TABLE 7
WOOD PULP
PATE DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
2,261
2,229
2,235
2,004
1,970
1,980
578
577
577
321
318
322
Autriche
Bulgaria
Bulgaria
125
...
...
210
...
...
7
...
...
92
...
...
Bulgarie
Czech Republic
Czech Republic
803
806
806
614
640
660
310
300
289
121
134
143
République tchèque
Estonia
Estonia
84
140
140
260
200
200
49
50
50
225
110
110
Estonie
Finland
Finland a
6,625
5,760
6,280
10,950
9,360
10,520
150
220
220
4,475
3,820
4,460
Finlande a
Germany
Germany
5,622
5,685
5,715
2,327
2,390
2,420
4,451
4,400
4,400
1,156
1,105
1,105
Allemagne
Latvia
Latvia
2
6
2
14
10
10
2
2
2
14
6
10
Lettonie
Netherlands
Netherlands
929
987
987
37
37
37
2,167
2,150
2,150
1,274
1,200
1,200
Pays-Bas
Poland
Poland
2,767
2,750
2,790
1,749
1,720
1,750
1,194
1,220
1,250
177
190
210
Pologne
Portugal
Portugal
1,660
1,640
1,645
2,809
2,750
2,800
141
140
145
1,290
1,250
1,300
Portugal
Serbia
Serbia
75
76
79
0
0
0
76
77
80
1
1
1
Serbie
Slovakia
Slovakia
680
685
695
769
775
800
160
160
170
248
250
275
Slovaquie
Slovenia
Slovenia
331
309
309
86
82
82
250
230
230
5
3
3
Slovénie
Sweden
Sweden
8,146
8,250
8,400
11,701
11,950
12,150
602
600
600
4,157
4,300
4,350
Suède
Switzerland
Switzerland
160
160
160
70
70
70
90
90
90
0
0
0
Suisse
UK
United Kingdom
984
990
...
220
220
...
766
780
790
2
10
10
Royaume-Uni
Total Europe
31,255
30,473
30,243
33,820
32,174
33,479
10,993
10,996
11,043
13,558
12,697
13,499
Total Europe
Canada
Canada
7,265
6,097
6,156
14,886
13,861
13,468
1,095
950
1,185
8,717
8,714
8,497
Canada
United States
United States
48,100
48,274
48,187
49,685
49,859
49,772
6,036
6,036
6,036
7,621
7,621
7,621
Etats-Unis
Total North America
55,365
54,372
54,344
64,571
63,720
63,240
7,131
6,986
7,221
16,337
16,335
16,118
Total Amérique du Nord
a imports exclude dissolving pulp
a les importations excluent pâte à dissoudre
Table 8
10.x
TABLE 8
PAPER AND PAPERBOARD
PAPIERS ET CARTONS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
2,334
2,340
2,315
5,065
5,100
5,080
1,296
1,310
1,300
4,028
4,070
4,065
Autriche
Bulgaria
Bulgaria
573
...
...
394
...
...
358
...
...
180
...
...
Bulgarie
Cyprus
Cyprus
44
48
46
0
0
0
44
48
46
0
0
0
Chypre
Czech Republic
Czech Republic
1,618
1,602
1,604
901
906
909
1,623
1,604
1,600
906
908
905
République tchèque
Estonia
Estonia
126
150
150
70
90
90
138
130
130
83
70
70
Estonie
Finland
Finland
636
590
620
8,660
7,450
8,150
361
350
350
8,385
7,210
7,880
Finlande
Germany
Germany
18,980
18,500
18,400
23,123
22,800
22,700
10,009
9,800
9,800
14,152
14,100
14,100
Allemagne
Latvia
Latvia
174
182
182
28
30
30
186
200
200
40
48
48
Lettonie
Luxembourg
Luxembourg
31
8
8
0
0
0
38
8
8
7
0
0
Luxembourg
Malta
Malta
26
27
27
0
0
0
26
27
27
0
0
0
Malte
Netherlands
Netherlands
2,869
2,890
2,890
2,942
2,950
2,950
2,268
2,260
2,260
2,341
2,320
2,320
Pays-Bas
Poland
Poland
8,002
8,100
8,150
5,324
5,450
5,550
5,233
5,300
5,400
2,556
2,650
2,800
Pologne
Portugal
Portugal
1,245
1,250
1,290
2,247
2,200
2,240
928
850
900
1,931
1,800
1,850
Portugal
Serbia
Serbia
760
780
785
535
520
525
462
470
480
237
210
220
Serbie
Slovakia
Slovakia
554
600
600
1,019
975
1,000
474
450
475
939
825
875
Slovaquie
Slovenia
Slovenia
491
435
440
635
605
590
435
420
420
579
590
570
Slovénie
Sweden
Sweden
704
950
950
8,924
8,700
8,850
897
750
750
9,117
8,500
8,650
Suède
Switzerland
Switzerland
1,050
1,055
1,060
1,170
1,175
1,180
610
600
590
730
720
710
Suisse
UK
United Kingdom
7,482
7,430
7,450
3,640
3,530
3,650
4,589
4,660
4,550
747
760
750
Royaume-Uni
Total Europe
47,697
46,937
46,967
64,677
62,481
63,494
29,977
29,237
29,286
46,957
44,781
45,813
Total Europe
Canada
Canada
4,940
4,796
4,930
8,787
8,436
8,436
2,424
2,567
2,538
6,272
6,207
6,045
Canada
United States
United States
65,622
68,268
66,945
67,476
70,196
68,836
8,223
8,555
8,389
10,077
10,483
10,280
Etats-Unis
Total North America
70,561
73,064
71,874
76,263
78,632
77,272
10,647
11,122
10,927
16,348
16,690
16,325
Total Amérique du Nord
Table 9
TABLE 9
REMOVALS OF WOOD IN THE ROUGH
QUANTITES ENLEVEES DE BOIS BRUT
TOTAL
TOTAL
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country
Industrial wood - Bois industriels
Wood fuel c
Bois de chauffage c
Pays
Total
Logs
Pulpwood a
Other b
Total
Grumes
Bois de trituration a
Autre b
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
13,521
13,873
13,650
10,420
10,607
10,300
3,101
3,266
3,350
0
0
0
4,900
5,263
5,400
18,420
19,136
19,050
Autriche
Bulgaria
Bulgaria
3,172
...
...
1,524
...
...
1,606
...
...
42
...
...
2,357
...
...
5,529
...
...
Bulgarie
Cyprus
Cyprus
...
...
...
...
...
...
...
...
...
0
0
0
7
7
8
...
...
...
Chypre
Czech Republic
Czech Republic
25,146
21,122
20,576
17,739
15,858
14,572
7,294
5,149
5,887
113
115
117
5,110
4,933
4,536
30,256
26,055
25,112
République tchèque
Estonia
Estonia
6,520
6,317
6,317
4,145
4,060
4,060
2,323
2,200
2,200
52
57
57
4,148
4,100
4,100
10,667
10,417
10,417
Estonie
Finland
Finland
58,036
55,847
58,540
26,292
24,618
24,713
31,744
31,229
33,827
0
0
0
8,868
8,868
8,868
66,904
64,715
67,408
Finlande
Germany
Germany
59,187
57,179
54,270
47,403
44,256
42,085
11,624
12,765
12,027
161
158
158
23,224
23,900
24,100
82,411
81,079
78,370
Allemagne
Latvia
Latvia
13,003
12,650
12,550
7,827
7,400
7,300
3,986
4,100
4,100
1,190
1,150
1,150
2,940
3,150
3,200
15,943
15,800
15,750
Lettonie
Luxembourg
Luxembourg
217
332
197
39
86
144
84
160
38
94
86
15
46
73
45
262
405
242
Luxembourg
Netherlands
Netherlands
648
653
653
210
214
214
394
395
395
43
44
44
2,362
2,350
2,350
3,010
3,003
3,003
Pays-Bas
Poland
Poland
38,587
40,300
41,530
18,508
19,300
19,950
19,471
20,410
21,000
608
590
580
4,519
4,450
4,350
43,106
44,750
45,880
Pologne
Portugal
Portugal
12,136
12,240
12,155
2,147
2,190
2,220
9,659
9,700
9,600
331
350
335
1,762
1,830
1,780
13,899
14,070
13,935
Portugal
Serbia
Serbia
1,646
1,586
1,630
1,176
1,166
1,185
307
280
295
163
140
150
6,251
6,950
7,010
7,897
8,536
8,640
Serbie
Slovakia
Slovakia
7,170
7,475
7,590
4,243
4,335
4,400
2,893
3,100
3,150
34
40
40
495
550
610
7,665
8,025
8,200
Slovaquie
Slovenia
Slovenia
2,673
3,078
2,995
1,977
2,210
2,130
648
825
825
48
43
40
1,043
1,200
1,260
3,716
4,278
4,255
Slovénie
Sweden
Sweden
71,400
71,400
70,400
39,300
37,800
36,000
31,800
33,300
34,100
300
300
300
5,400
5,400
5,400
76,800
76,800
75,800
Suède
Switzerland
Switzerland
3,003
3,088
3,163
2,450
2,550
2,610
550
535
550
3
3
3
1,980
2,030
2,100
4,983
5,118
5,263
Suisse
UK
United Kingdom
8,716
7,660
8,410
6,354
5,360
6,060
1,898
1,900
1,900
463
400
450
2,184
2,180
2,180
10,899
9,840
10,590
Royaume-Uni
Total Europe
324,781
314,800
314,626
191,753
182,010
177,943
129,382
129,314
133,244
3,646
3,476
3,439
77,596
77,234
77,297
402,369
392,027
391,915
Total Europe
Canada
Canada
138,131
135,303
135,303
120,741
117,995
117,995
15,239
15,040
15,040
2,152
2,268
2,268
1,472
1,567
1,567
139,603
136,869
136,869
Canada
United States
United States
382,956
386,045
384,500
183,473
184,966
184,219
185,734
187,318
186,526
13,749
13,762
13,755
71,111
71,127
71,119
454,066
457,172
455,619
Etats-Unis
Total North America
521,087
521,348
519,803
304,213
302,961
302,214
200,973
202,358
201,566
15,901
16,030
16,023
72,582
72,693
72,685
593,669
594,041
592,488
Total Amérique du Nord
a
Pulpwood, round and split, as well as chips and particles produced directly
a
Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood
directement à partir des rondins et quartiers et utilisées comme bois de trituration
b
Pitprops, poles, piling, posts etc.
b
Bois de mine, poteaux, pilotis, piquets etc.
c
Including chips and particles produced from wood in the rough and
c
Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes
à des fins energétiques
Table 9a
1.2.3.C
TABLE 9a
REMOVALS OF WOOD IN THE ROUGH
QUANTITES ENLEVEES DE BOIS BRUT
SOFTWOOD
CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country
Industrial wood - Bois industriels
Wood fuel c
Bois de chauffage c
Pays
Total
Logs
Pulpwood a
Other b
Total
Grumes
Bois de trituration a
Autre b
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
12,671
12,947
12,700
10,139
10,315
10,000
2,531
2,632
2,700
0
0
0
2,993
3,158
3,200
15,663
16,105
15,900
Autriche
Bulgaria
Bulgaria
2,228
...
...
1,178
...
...
1,019
...
...
31
...
...
608
...
...
2,836
...
...
Bulgarie
Cyprus
Cyprus
...
...
...
2
2
2
...
...
...
0
0
0
6
6
7
...
...
...
Chypre
Czech Republic
Czech Republic
24,251
20,470
19,943
17,301
15,480
14,210
6,841
4,880
5,621
109
110
112
4,463
4,365
3,965
28,714
24,835
23,908
République tchèque
Estonia
Estonia
4,447
4,330
4,330
3,268
3,200
3,200
1,152
1,100
1,100
27
30
30
1,431
1,400
1,400
5,878
5,730
5,730
Estonie
Finland
Finland
48,840
46,602
48,616
25,247
23,457
23,590
23,593
23,145
25,026
0
0
0
4,279
4,279
4,279
53,119
50,881
52,895
Finlande
Germany
Germany
55,270
53,354
50,415
44,611
41,447
39,283
10,505
11,757
10,982
153
150
150
9,265
9,600
9,800
64,534
62,954
60,215
Allemagne
Latvia
Latvia
8,661
8,350
8,250
5,975
5,600
5,500
2,036
2,100
2,100
650
650
650
315
350
400
8,976
8,700
8,650
Lettonie
Luxembourg
Luxembourg
156
169
143
27
51
122
35
32
6
94
86
15
24
30
11
180
199
154
Luxembourg
Netherlands
Netherlands
452
449
449
154
154
154
263
260
260
35
35
35
451
450
450
903
899
899
Pays-Bas
Poland
Poland
31,131
32,500
33,350
15,698
16,370
16,900
14,861
15,570
15,900
572
560
550
2,189
2,150
2,100
33,320
34,650
35,450
Pologne
Portugal
Portugal
3,352
3,440
3,455
1,851
1,900
1,970
1,370
1,400
1,350
131
140
135
445
480
450
3,797
3,920
3,905
Portugal
Serbia
Serbia
319
315
335
202
210
220
76
70
75
41
35
40
129
150
160
448
465
495
Serbie
Slovakia
Slovakia
3,678
3,815
3,830
2,724
2,735
2,750
928
1,050
1,050
26
30
30
223
250
285
3,901
4,065
4,115
Slovaquie
Slovenia
Slovenia
1,790
1,978
1,888
1,510
1,680
1,600
262
285
275
18
13
13
106
150
160
1,896
2,128
2,048
Slovénie
Sweden
Sweden
64,850
64,650
63,450
39,100
37,600
35,800
25,600
26,900
27,500
150
150
150
2,700
2,700
2,700
67,550
67,350
66,150
Suède
Switzerland
Switzerland
2,602
2,652
2,712
2,224
2,300
2,350
376
350
360
2
2
2
834
880
900
3,436
3,532
3,612
Suisse
UK
United Kingdom
8,608
7,550
8,300
6,298
5,300
6,000
1,895
1,900
1,900
415
350
400
1,571
1,570
1,570
10,179
9,120
9,870
Royaume-Uni
Total Europe
273,305
263,571
262,166
177,509
167,801
163,651
93,345
93,431
96,205
2,454
2,341
2,312
32,032
31,968
31,837
305,330
295,533
293,995
Total Europe
Canada
Canada
113,236
110,975
110,975
108,690
106,633
106,633
4,232
3,975
3,975
314
367
367
659
724
724
113,895
111,700
111,700
Canada
United States
United States
306,264
307,884
307,074
150,702
151,554
151,128
143,462
144,219
143,840
12,100
12,111
12,106
33,760
33,770
33,765
340,023
341,654
340,839
Etats-Unis
Total North America
419,499
418,859
418,049
259,392
258,187
257,761
147,694
148,194
147,816
12,414
12,478
12,472
34,419
34,495
34,489
453,918
453,354
452,538
Total Amérique du Nord
a
Pulpwood, round and split, as well as chips and particles produced directly
a
Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood
directement à partir des rondins et quartiers et utilisées comme bois de trituration
b
Pitprops, poles, piling, posts etc.
b
Bois de mine, poteaux, pilotis, piquets etc.
c
Including chips and particles produced from wood in the rough and
c
Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes
à des fins energétiques
Table 9b
1.2.3.NC
TABLE 9b
REMOVALS OF WOOD IN THE ROUGH
QUANTITES ENLEVEES DE BOIS BRUT
HARDWOOD
NON-CONIFERES
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Country
Industrial wood - Bois industriels
Wood fuel c
Bois de chauffage c
Pays
Total
Logs
Pulpwood a
Other b
Total
Grumes
Bois de trituration a
Autre b
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
850
926
950
280
292
300
570
634
650
0
0
0
1,907
2,105
2,200
2,757
3,031
3,150
Autriche
Bulgaria
Bulgaria
944
...
...
346
...
...
587
...
...
11
...
...
1,749
...
...
2,693
...
...
Bulgarie
Cyprus
Cyprus
...
...
...
...
...
...
...
...
...
0
0
0
1
1
1
...
...
...
Chypre
Czech Republic
Czech Republic
895
652
633
438
378
362
453
269
266
4
5
5
647
568
571
1,542
1,220
1,204
République tchèque
Estonia
Estonia
2,073
1,987
1,987
877
860
860
1,171
1,100
1,100
25
27
27
2,717
2,700
2,700
4,789
4,687
4,687
Estonie
Finland
Finland
9,196
9,245
9,924
1,045
1,161
1,123
8,151
8,084
8,801
0
0
0
4,589
4,589
4,589
13,785
13,834
14,513
Finlande
Germany
Germany
3,918
3,824
3,855
2,792
2,809
2,802
1,119
1,008
1,045
8
8
8
13,959
14,300
14,300
17,877
18,124
18,155
Allemagne
Latvia
Latvia
4,342
4,300
4,300
1,852
1,800
1,800
1,950
2,000
2,000
540
500
500
2,625
2,800
2,800
6,967
7,100
7,100
Lettonie
Luxembourg
Luxembourg
61
163
54
12
35
22
49
128
32
0
0
0
22
43
34
83
206
89
Luxembourg
Netherlands
Netherlands
196
204
204
57
60
60
131
135
135
9
9
9
1,912
1,900
1,900
2,108
2,104
2,104
Pays-Bas
Poland
Poland
7,456
7,800
8,180
2,810
2,930
3,050
4,610
4,840
5,100
36
30
30
2,330
2,300
2,250
9,787
10,100
10,430
Pologne
Portugal
Portugal
8,784
8,800
8,700
296
290
250
8,289
8,300
8,250
200
210
200
1,318
1,350
1,330
10,102
10,150
10,030
Portugal
Serbia
Serbia
1,327
1,271
1,295
974
956
965
231
210
220
122
105
110
6,122
6,800
6,850
7,449
8,071
8,145
Serbie
Slovakia
Slovakia
3,492
3,660
3,760
1,519
1,600
1,650
1,965
2,050
2,100
8
10
10
272
300
325
3,764
3,960
4,085
Slovaquie
Slovenia
Slovenia
883
1,100
1,107
467
530
530
386
540
550
30
30
27
937
1,050
1,100
1,820
2,150
2,207
Slovénie
Sweden
Sweden
6,550
6,750
6,950
200
200
200
6,200
6,400
6,600
150
150
150
2,700
2,700
2,700
9,250
9,450
9,650
Suède
Switzerland
Switzerland
401
436
451
226
250
260
174
185
190
1
1
1
1,146
1,150
1,200
1,547
1,586
1,651
Suisse
UK
United Kingdom
108
110
110
56
60
60
3
0
0
48
50
50
613
610
610
720
720
720
Royaume-Uni
Total Europe
51,476
51,228
52,460
14,247
14,211
14,294
36,038
35,883
37,039
1,191
1,135
1,127
45,564
45,266
45,460
97,039
96,493
97,919
Total Europe
Canada
Canada
24,896
24,328
24,328
12,051
11,361
11,361
11,007
11,065
11,065
1,838
1,901
1,901
812
842
842
25,708
25,170
25,170
Canada
United States
United States
76,692
78,161
77,427
32,771
33,412
33,091
42,272
43,099
42,685
1,649
1,651
1,650
37,351
37,356
37,354
114,043
115,517
114,780
Etats-Unis
Total North America
101,588
102,489
101,754
44,822
44,773
44,453
53,279
54,164
53,750
3,487
3,552
3,551
38,163
38,199
38,196
139,751
140,687
139,950
Total Amérique du Nord
a
Pulpwood, round and split, as well as chips and particles produced directly
a
Bois de trituration, rondins et quartiers, ainse que plaquettes et particules fabriquées
therefrom and used as pulpwood
directement à partir des rondins et quartiers et utilisées comme bois de trituration
b
Pitprops, poles, piling, posts etc.
b
Bois de mine, poteaux, pilotis, piquets etc.
c
Including chips and particles produced from wood in the rough and
c
Y compris plaquettes et particules fabriquées à partir du bois brut et utilisées
used for energy purposes
à des fins energétiques
Table 10
1.2.1.C
TABLE 10
SOFTWOOD SAWLOGS
GRUMES DE SCIAGES DES CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Imports
Exports
Country
Consommation Apparente a
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
17,589
16,095
16,500
10,139
10,315
10,000
8,044
6,660
7,000
594
880
500
Autriche
Bulgaria
Bulgaria
1,173
...
...
1,178
...
...
0
...
...
5
...
...
Bulgarie
Cyprus
Cyprus
2
2
2
2
2
2
0
0
0
0
0
0
Chypre
Czech Republic
Czech Republic
8,801
8,617
7,916
17,301
15,480
14,210
750
663
660
9,250
7,526
6,954
République tchèque
Estonia
Estonia
3,640
3,730
3,730
3,268
3,200
3,200
455
600
600
83
70
70
Estonie
Finland
Finland
25,080
23,224
23,365
25,247
23,457
23,590
165
78
86
332
311
311
Finlande
Germany
Germany
39,795
39,077
38,613
44,611
41,447
39,283
3,190
3,300
3,600
8,006
5,670
4,270
Allemagne
Latvia
Latvia
6,786
6,350
6,100
5,975
5,600
5,500
1,088
1,100
900
277
350
300
Lettonie
Luxembourg
Luxembourg
393
90
161
27
51
122
609
164
164
243
125
125
Luxembourg
Netherlands
Netherlands
176
169
169
154
154
154
87
80
80
65
65
65
Pays-Bas
Poland
Poland
14,868
15,470
16,000
15,698
16,370
16,900
1,090
1,150
1,200
1,920
2,050
2,100
Pologne
Portugal
Portugal
1,971
1,990
2,075
1,851
1,900
1,970
150
130
140
30
40
35
Portugal
Serbia
Serbia
226
220
233
202
210
220
28
12
15
4
2
2
Serbie
Slovakia
Slovakia
3,057
3,235
3,250
2,724
2,735
2,750
1,049
900
900
716
400
400
Slovaquie
Slovenia
Slovenia
1,511
1,740
1,620
1,510
1,680
1,600
287
320
300
286
260
280
Slovénie
Sweden
Sweden
39,240
37,680
35,880
39,100
37,600
35,800
880
1,010
1,010
740
930
930
Suède
Switzerland
Switzerland
1,935
2,045
2,105
2,224
2,300
2,350
52
55
55
341
310
300
Suisse
UK
United Kingdom
6,515
5,510
6,200
6,298
5,300
6,000
359
360
360
142
150
160
Royaume-Uni
Total Europe
172,758
165,244
163,919
177,509
167,801
163,651
18,283
16,582
17,070
23,033
19,139
16,802
Total Europe
Canada
Canada
104,025
102,730
102,894
108,690
106,633
106,633
2,221
1,489
1,245
6,887
5,392
4,984
Canada
United States
United States
142,644
143,443
143,043
150,702
151,554
151,128
278
280
279
8,336
8,391
8,364
Etats-Unis
Total North America
246,668
246,173
245,937
259,392
258,187
257,761
2,500
1,769
1,524
15,223
13,784
13,348
Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data
a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
Table 11
1.2.1.NC
TABLE 11
HARDWOOD SAWLOGS (total)
GRUMES DE SCIAGES DES NON-CONIFERES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Imports
Exports
Country
Consommation Apparente a
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Country
Consumption
Production
Imports
Exports
Country
Austria
Austria
398
362
370
280
292
300
162
140
120
45
70
50
Autriche
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Bulgaria
Bulgaria
346
...
...
346
...
...
0
...
...
0
...
...
Bulgarie
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Czech Republic
Czech Republic
305
239
218
438
378
362
132
135
138
265
274
282
République tchèque
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Estonia
Estonia
901
885
885
877
860
860
48
45
45
23
20
20
Estonie
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Finland
Finland
1,218
1,193
1,123
1,045
1,161
1,123
173
32
0
0
0
0
Finlande
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Germany
Germany
2,174
2,346
2,348
2,792
2,809
2,802
110
111
120
727
574
574
Allemagne
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Latvia
Latvia
1,570
1,470
1,520
1,852
1,800
1,800
27
60
50
309
390
330
Lettonie
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Luxembourg
Luxembourg
199
139
126
12
35
22
209
111
111
22
7
7
Luxembourg
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Netherlands
Netherlands
62
70
70
57
60
60
65
70
70
59
60
60
Pays-Bas
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Poland
Poland
2,740
2,860
3,050
2,810
2,930
3,050
80
80
...
150
150
...
Pologne
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Portugal
Portugal
406
380
350
296
290
250
140
120
130
30
30
30
Portugal
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Serbia
Serbia
954
951
955
974
956
965
30
15
20
50
20
30
Serbie
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Slovakia
Slovakia
1,658
1,700
1,750
1,519
1,600
1,650
562
500
500
423
400
400
Slovaquie
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Slovenia
Slovenia
263
242
260
467
530
530
43
42
40
248
330
310
Slovénie
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Sweden
Sweden
226
226
226
200
200
200
26
26
26
0
0
0
Suède
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Switzerland
Switzerland
104
130
150
226
250
260
27
35
40
149
155
150
Suisse
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
UK
United Kingdom
67
80
80
56
60
60
15
20
20
4
0
0
Royaume-Uni
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Total Europe
13,592
13,273
13,481
14,247
14,211
14,294
1,849
1,542
1,430
2,504
2,480
2,243
Total Europe
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Canada
Canada
13,122
12,288
12,248
12,051
11,361
11,361
1,145
1,018
969
75
92
83
Canada
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
United States
United States
30,814
31,416
31,115
32,771
33,412
33,091
151
154
153
2,109
2,150
2,129
Etats-Unis
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
Total North America
43,935
43,704
43,363
44,822
44,773
44,453
1,297
1,173
1,122
2,183
2,241
2,212
Total Amérique du Nord
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
ERROR:#REF!
a Countries which did not provide trade data are included in consumption data
a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
Table 11a
TABLE 11a
HARDWOOD LOGS (temperate)
GRUMES DE NON-CONIFERES (zone tempérée)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Imports
Exports
Country
Consommation Apparente a
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
280
292
300
280
292
300
...
...
...
...
...
...
Autriche
Bulgaria
Bulgaria
346
...
...
346
...
...
...
...
...
...
...
...
Bulgarie
Czech Republic
Czech Republic
303
237
216
438
378
362
130
133
136
265
274
282
République tchèque
Estonia
Estonia
877
860
860
877
860
860
...
...
...
...
...
...
Estonie
Finland
Finland
1,045
1,161
1,123
1,045
1,161
1,123
...
...
...
...
...
...
Finlande
Germany
Germany
2,168
2,341
2,343
2,792
2,809
2,802
98
101
110
722
569
569
Allemagne
Latvia
Latvia
1,852
1,800
1,800
1,852
1,800
1,800
...
...
...
...
...
...
Lettonie
Luxembourg
Luxembourg
191
139
22
12
35
22
201
111
...
22
7
...
Luxembourg
Netherlands
Netherlands
53
62
62
57
60
60
50
55
55
53
53
53
Pays-Bas
Poland
Poland
2,739
2,858
3,050
2,810
2,930
3,050
78
78
...
150
150
...
Pologne
Portugal
Portugal
382
355
325
296
290
250
110
90
100
24
25
25
Portugal
Serbia
Serbia
953
950
954
974
956
965
29
14
19
50
20
30
Serbie
Slovakia
Slovakia
1,519
1,600
1,650
1,519
1,600
1,650
...
...
...
...
...
...
Slovaquie
Slovenia
Slovenia
262
241
259
467
530
530
42
41
39
248
330
310
Slovénie
Sweden
Sweden
200
200
200
200
200
200
...
...
...
...
...
...
Suède
Switzerland
Switzerland
226
250
260
226
250
260
...
...
...
...
...
...
Suisse
UK
United Kingdom
66
80
80
56
60
60
14
20
20
4
0
0
Royaume-Uni
Total Europe
13,462
13,426
13,504
14,247
14,211
14,294
753
643
479
1,538
1,428
1,269
Total Europe
Canada
Canada
12,051
11,361
11,361
12,051
11,361
11,361
...
...
...
...
...
...
Canada
United States
United States
30,813
31,415
31,114
32,771
33,412
33,091
150
152
151
2,108
2,149
2,128
Etats-Unis
Total North America
42,864
42,777
42,475
44,822
44,773
44,453
150
152
151
2,108
2,149
2,128
Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data
a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
Table 11b
1.2.1.NC.T
TABLE 11b
HARDWOOD LOGS (tropical)
GRUMES DE NON-CONIFERES (tropicale)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Net Trade
Imports
Exports
Country
Commerce Net
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Czech Republic
Czech Republic
-2
-2
-2
2
2
2
0
0
0
République tchèque
Germany
Germany
-7
-5
-5
11
10
10
5
5
5
Allemagne
Luxembourg
Luxembourg
-8
0
...
8
0
...
0
0
...
Luxembourg
Netherlands
Netherlands
-9
-8
-8
15
15
15
6
7
7
Pays-Bas
Poland
Poland
-1
-2
-2
2
2
2
0
0
0
Pologne
Portugal
Portugal
-24
-25
-25
30
30
30
6
5
5
Portugal
Serbia
Serbia
-1
-1
-1
1
1
1
0
0
0
Serbie
Slovenia
Slovenia
-1
-1
-1
1
1
1
0
0
0
Slovénie
UK
United Kingdom
-1
0
0
1
0
0
0
0
0
Royaume-Uni
Total Europe
-54
-44
-44
71
61
61
17
17
17
Total Europe
United States
United States
-1
-1
-1
2
2
2
1
1
1
Etats-Unis
Total North America
-1
-1
-1
2
2
2
1
1
1
Total Amérique du Nord
Table 12
TABLE 12
PULPWOOD (total)
BOIS DE TRITURATION (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption a
Imports
Exports
Country
Consommation Apparente a
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
14,154
13,876
13,900
10,568
10,416
10,450
4,953
4,650
4,500
1,367
1,190
1,050
Autriche
Bulgaria
Bulgaria
1,639
...
...
1,699
...
...
27
...
...
87
...
...
Bulgarie
Cyprus
Cyprus
...
...
...
...
...
...
...
...
...
...
...
...
Chypre
Czech Republic
Czech Republic
6,155
4,306
4,709
9,027
6,877
7,621
475
469
475
3,347
3,040
3,387
République tchèque
Estonia
Estonia
3,575
3,600
3,600
6,323
6,100
6,100
268
240
240
3,015
2,740
2,740
Estonie
Finland
Finland
57,262
49,139
51,233
47,052
46,586
49,737
11,200
3,364
2,307
990
811
811
Finlande
Germany
Germany
27,289
28,098
28,031
28,327
29,465
28,527
3,819
3,509
3,680
4,858
4,876
4,176
Allemagne
Latvia
Latvia
4,879
5,025
5,180
8,296
8,600
8,800
1,417
875
780
4,834
4,450
4,400
Lettonie
Luxembourg
Luxembourg
605
681
559
605
681
559
...
...
...
...
...
...
Luxembourg
Malta
Malta
…
…
…
…
…
…
...
...
...
...
...
...
Malte
Netherlands
Netherlands
1,566
1,565
1,565
1,365
1,365
1,365
644
680
680
443
480
480
Pays-Bas
Poland
Poland
31,755
32,925
31,800
29,682
30,910
31,800
3,947
3,810
...
1,874
1,795
...
Pologne
Portugal
Portugal
13,642
12,870
12,780
11,483
11,620
11,500
2,833
1,815
1,850
674
565
570
Portugal
Serbia
Serbia
812
840
890
800
830
875
15
12
17
3
2
2
Serbie
Slovakia
Slovakia
3,849
4,000
4,100
4,043
4,250
4,350
1,043
1,000
1,000
1,237
1,250
1,250
Slovaquie
Slovenia
Slovenia
1,129
1,019
1,345
2,008
2,275
2,325
653
674
680
1,532
1,930
1,660
Slovénie
Sweden
Sweden
61,355
61,618
61,918
55,300
55,800
56,100
6,858
6,774
6,774
803
956
956
Suède
Switzerland
Switzerland
1,773
1,773
1,793
1,340
1,345
1,370
623
613
613
190
185
190
Suisse
UK
United Kingdom
5,304
5,040
5,280
5,020
4,770
5,010
384
380
380
101
110
110
Royaume-Uni
Total Europe
236,743
226,375
228,683
222,939
221,890
226,489
39,158
28,865
23,976
25,354
24,380
21,782
Total Europe
Canada
Canada
40,927
37,948
37,855
38,095
36,525
36,525
3,722
2,250
2,204
890
827
873
Canada
United States
United States
240,634
243,316
241,975
246,219
249,015
247,617
264
268
266
5,849
5,966
5,908
Etats-Unis
Total North America
281,560
281,264
279,830
284,314
285,540
284,142
3,986
2,517
2,469
6,740
6,794
6,781
Total Amérique du Nord
Includes wood residues, chips and particles for all purposes
Comprend les dechets de bois, plaquettes et particules pour toute utilisation
a Countries which did not provide trade data are included in consumption data
a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
Table 12a
1.2.2.C
TABLE 12a
PULPWOOD LOGS (ROUND AND SPLIT)
BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Softwood
Conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a
Imports
Exports
Country
Consommation Apparente a
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
4,145
4,212
4,300
2,531
2,632
2,700
1,973
1,850
1,800
360
270
200
Autriche
Bulgaria
Bulgaria
1,000
...
...
1,019
...
...
15
...
...
34
...
...
Bulgarie
Czech Republic
Czech Republic
4,111
2,444
2,838
6,841
4,880
5,621
270
263
265
3,000
2,699
3,048
République tchèque
Estonia
Estonia
533
560
560
1,152
1,100
1,100
32
40
40
650
580
580
Estonie
Finland
Finland
24,151
23,246
25,181
23,593
23,145
25,026
1,294
754
808
736
653
653
Finlande
Germany
Germany
10,697
11,527
11,552
10,505
11,757
10,982
2,523
2,200
2,400
2,331
2,430
1,830
Allemagne
Latvia
Latvia
1,714
1,850
1,750
2,036
2,100
2,100
473
400
350
795
650
700
Lettonie
Luxembourg
Luxembourg
35
32
6
35
32
6
...
...
...
...
...
...
Luxembourg
Netherlands
Netherlands
195
180
180
263
260
260
113
110
110
182
190
190
Pays-Bas
Poland
Poland
14,706
15,470
15,900
14,861
15,570
15,900
1,174
1,200
1,250
1,329
1,300
1,250
Pologne
Portugal
Portugal
1,402
1,420
1,380
1,370
1,400
1,350
75
65
70
43
45
40
Portugal
Serbia
Serbia
76
70
75
76
70
75
0
0
0
0
0
0
Serbie
Slovakia
Slovakia
843
900
900
928
1,050
1,050
645
600
600
730
750
750
Slovaquie
Slovenia
Slovenia
288
325
315
262
285
275
264
270
270
239
230
230
Slovénie
Sweden
Sweden
28,302
29,632
30,232
25,600
26,900
27,500
3,110
3,255
3,255
408
523
523
Suède
Switzerland
Switzerland
306
280
290
376
350
360
20
20
20
90
90
90
Suisse
UK
United Kingdom
2,085
2,080
2,080
1,895
1,900
1,900
213
210
210
23
30
30
Royaume-Uni
Total Europe
94,588
94,228
97,539
93,345
93,431
96,205
12,194
11,237
11,448
10,950
10,440
10,114
Total Europe
Canada
Canada
5,139
4,236
4,204
4,232
3,975
3,975
961
297
273
54
36
45
Canada
United States
United States
143,467
144,224
143,845
143,462
144,219
143,840
5
5
5
0
0
0
Etats-Unis
Total North America
148,606
148,460
148,049
147,694
148,194
147,816
966
302
278
54
36
45
Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data
a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
Table 12b
1.2.2.NC
TABLE 12b
PULPWOOD LOGS (ROUND AND SPLIT)
BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Hardwood
Non-conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Apparent Consumption a
Imports
Exports
Country
Consommation Apparente a
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
1,182
1,214
1,200
570
634
650
688
700
650
75
120
100
Autriche
Bulgaria
Bulgaria
583
...
...
587
...
...
5
...
...
9
...
...
Bulgarie
Czech Republic
Czech Republic
365
187
190
453
269
266
2
9
8
90
91
84
République tchèque
Estonia
Estonia
336
370
370
1,171
1,100
1,100
139
130
130
974
860
860
Estonie
Finland
Finland
12,721
9,117
9,428
8,151
8,084
8,801
4,661
1,085
679
91
52
52
Finlande
Germany
Germany
1,111
1,021
1,079
1,119
1,008
1,045
261
259
280
269
246
246
Allemagne
Latvia
Latvia
432
375
480
1,950
2,000
2,000
166
175
180
1,684
1,800
1,700
Lettonie
Luxembourg
Luxembourg
49
128
32
49
128
32
...
...
...
...
...
...
Luxembourg
Netherlands
Netherlands
62
65
65
131
135
135
19
20
20
89
90
90
Pays-Bas
Poland
Poland
5,095
5,325
5,100
4,610
4,840
5,100
560
560
...
75
75
...
Pologne
Portugal
Portugal
8,939
8,930
8,890
8,289
8,300
8,250
1,000
950
970
350
320
330
Portugal
Serbia
Serbia
230
210
220
231
210
220
0
0
0
1
0
0
Serbie
Slovakia
Slovakia
1,909
2,000
2,050
1,965
2,050
2,100
91
100
100
147
150
150
Slovaquie
Slovenia
Slovenia
131
154
160
386
540
550
117
114
110
372
500
500
Slovénie
Sweden
Sweden
8,485
8,486
8,686
6,200
6,400
6,600
2,313
2,119
2,119
28
33
33
Suède
Switzerland
Switzerland
137
148
153
174
185
190
3
3
3
40
40
40
Suisse
UK
United Kingdom
54
50
50
3
0
0
52
50
50
1
0
0
Royaume-Uni
Total Europe
41,820
37,780
38,153
36,038
35,883
37,039
10,077
6,274
5,299
4,294
4,377
4,185
Total Europe
Canada
Canada
10,804
10,827
10,819
11,007
11,065
11,065
46
47
39
249
284
285
Canada
United States
United States
42,259
43,085
42,672
42,272
43,099
42,685
42
42
42
55
56
56
Etats-Unis
Total North America
53,063
53,912
53,491
53,279
54,164
53,750
88
89
81
304
340
340
Total Amérique du Nord
a Countries which did not provide trade data are included in consumption data
a La consommation comprend les pays qui n'ont pas fournies des données sur la commerce
Table 12c
3
TABLE 12c
WOOD RESIDUES, CHIPS AND PARTICLES
DECHETS DE BOIS, PLAQUETTES ET PARTICULES
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
8,827
8,450
8,400
7,467
7,150
7,100
2,292
2,100
2,050
931
800
750
Autriche
Bulgaria
Bulgaria
56
...
...
93
...
...
7
...
...
44
...
...
Bulgarie
Cyprus
Cyprus
8
10
10
8
9
9
1
1
1
0
0
0
Chypre
Czech Republic
Czech Republic
1,679
1,675
1,681
1,733
1,728
1,734
203
197
202
257
250
255
République tchèque
Estonia
Estonia
2,706
2,670
2,670
4,000
3,900
3,900
96
70
70
1,390
1,300
1,300
Estonie
Finland
Finland
20,390
16,776
16,624
15,308
15,357
15,910
5,245
1,525
820
163
106
106
Finlande
Germany
Germany
15,481
15,550
15,400
16,703
16,700
16,500
1,036
1,050
1,000
2,258
2,200
2,100
Allemagne
Latvia
Latvia
2,733
2,800
2,950
4,310
4,500
4,700
778
300
250
2,355
2,000
2,000
Lettonie
Luxembourg
Luxembourg
680
517
517
521
521
521
283
17
17
124
21
21
Luxembourg
Malta
Malta
2
2
3
0
0
0
2
2
3
0
0
0
Malte
Netherlands
Netherlands
1,310
1,320
1,320
971
970
970
512
550
550
173
200
200
Pays-Bas
Poland
Poland
11,954
12,130
12,400
10,211
10,500
10,800
2,213
2,050
2,000
469
420
400
Pologne
Portugal
Portugal
3,301
2,520
2,510
1,824
1,920
1,900
1,758
800
810
281
200
200
Portugal
Serbia
Serbia
506
560
595
493
550
580
15
12
17
2
2
2
Serbie
Slovakia
Slovakia
1,097
1,100
1,150
1,150
1,150
1,200
307
300
300
360
350
350
Slovaquie
Slovenia
Slovenia
710
540
870
1,360
1,450
1,500
272
290
300
922
1,200
930
Slovénie
Sweden
Sweden
24,568
23,500
23,000
23,500
22,500
22,000
1,435
1,400
1,400
367
400
400
Suède
Switzerland
Switzerland
1,330
1,345
1,350
790
810
820
600
590
590
60
55
60
Suisse
UK
United Kingdom
3,164
2,910
3,150
3,122
2,870
3,110
119
120
120
77
80
80
Royaume-Uni
Total Europe
100,505
94,375
94,600
93,564
92,585
93,254
17,174
11,374
10,500
10,234
9,584
9,154
Total Europe
Canada
Canada
24,984
22,884
22,832
22,856
21,485
21,485
2,716
1,906
1,891
587
507
544
Canada
United States
United States
54,907
56,007
55,457
60,485
61,697
61,091
216
221
219
5,794
5,910
5,852
Etats-Unis
Total North America
79,892
78,891
78,290
83,341
83,182
82,576
2,932
2,127
2,110
6,382
6,417
6,396
Total Amérique du Nord
Table 13
4.1x
TABLE 13
WOOD PELLETS
GRANULES DE BOIS
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 mt
Apparent Consumption
Imports
Exports
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
Austria
Austria
1,144
1,270
1,410
1,607
1,720
2,060
413
328
400
875
778
1,050
Autriche
Bulgaria
Bulgaria
202
...
...
216
...
...
132
...
...
146
...
...
Bulgarie
Cyprus
Cyprus
4
3
3
0
0
0
4
3
3
0
0
0
Chypre
Czech Republic
Czech Republic
126
199
201
490
503
517
39
35
37
403
339
353
République tchèque
Estonia
Estonia
67
70
70
1,600
1,550
1,550
26
20
20
1,559
1,500
1,500
Estonie
Finland
Finland
552
479
456
365
375
380
196
110
80
9
6
4
Finlande
Germany
Germany
2,932
3,200
3,400
3,353
3,600
3,800
392
450
500
813
850
900
Allemagne
Latvia
Latvia
221
280
100
2,138
2,200
2,000
592
380
400
2,509
2,300
2,300
Lettonie
Luxembourg
Luxembourg
49
63
63
63
63
63
13
4
4
28
4
4
Luxembourg
Malta
Malta
1
1
1
0
0
0
1
1
1
0
0
0
Malte
Netherlands
Netherlands
2,449
2,457
2,457
307
315
315
2,297
2,297
2,297
155
155
155
Pays-Bas
Poland
Poland
1,169
1,220
1,330
1,594
1,620
1,680
269
280
300
694
680
650
Pologne
Portugal
Portugal
224
270
265
731
860
800
3
10
15
510
600
550
Portugal
Serbia
Serbia
497
430
485
468
420
460
84
60
80
55
50
55
Serbie
Slovakia
Slovakia
19
145
195
310
325
350
46
45
45
337
225
200
Slovaquie
Slovenia
Slovenia
111
112
150
149
162
170
166
120
150
204
170
170
Slovénie
Sweden
Sweden
1,771
1,985
1,985
1,900
2,100
2,100
154
235
235
282
350
350
Suède
Switzerland
Switzerland
350
355
360
275
285
295
75
70
65
0
0
0
Suisse
UK
United Kingdom
9,430
9,450
9,450
304
320
320
9,128
9,130
9,130
2
0
0
Royaume-Uni
Total Europe
21,318
21,989
22,381
15,870
16,418
16,860
14,030
13,578
13,762
8,582
8,007
8,241
Total Europe
Canada
Canada
706
761
548
3,830
4,131
4,131
29
33
35
3,153
3,402
3,618
Canada
United States
United States
1,122
1,136
1,129
8,449
8,557
8,503
196
198
197
7,523
7,619
7,571
Etats-Unis
Total North America
1,828
1,898
1,677
12,279
12,688
12,634
225
231
232
10,676
11,021
11,189
Total Amérique du Nord
Table 14
3+4
TABLE 14
Europe: Summary table of market forecasts for 2022 and 2023
Europe: Tableau récapitulatif des prévisions du marché pour 2022 et 2023
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Apparent Consumption
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
2021
2022
2023
2021
2022
2023
2021
2022
2023
2021
2022
2023
actual
forecasts
actual
forecasts
actual
forecasts
actual
forecasts
réels
prévisions
réels
prévisions
réels
prévisions
réels
prévisions
Sawn softwood
67.77
63.34
62.12
90.27
88.25
87.84
26.30
22.94
21.87
48.80
47.85
47.59
Sciages conifères
Softwood logs a
172.76
165.24
163.92
177.51
167.80
163.65
18.28
16.58
17.07
23.03
19.14
16.80
Grumes de conifères a
Sawn hardwood
4.34
4.17
4.19
4.22
4.17
4.09
2.95
2.89
2.92
2.83
2.89
2.82
Sciages non-conifères
– temperate zone b
3.56
3.34
3.35
3.04
2.92
2.91
2.41
2.33
2.37
1.89
1.90
1.93
– zone tempérée b
– tropical zone b
0.32
0.34
0.34
0.03
0.02
0.03
0.41
0.41
0.40
0.12
0.09
0.08
– zone tropicale b
Hardwood logs a
13.59
13.27
13.48
14.25
14.21
14.29
1.85
1.54
1.43
2.50
2.48
2.24
Grumes de non-conifères a
– temperate zone b
13.46
13.43
13.50
14.25
14.21
14.29
0.75
0.64
0.48
1.54
1.43
1.27
– zone tempérée b
– tropical zone b
0.05
0.04
0.04
0.07
0.06
0.06
0.02
0.02
0.02
– zone tropicale b
Veneer sheets
0.74
0.75
0.72
0.70
0.72
0.71
0.78
0.71
0.66
0.74
0.68
0.65
Feuilles de placage
Plywood
5.94
5.84
5.86
3.41
3.37
3.35
5.87
5.67
5.63
3.35
3.21
3.12
Contreplaqués
Particle board (excluding OSB)
21.78
20.86
20.73
21.93
20.41
20.25
8.19
8.10
8.10
8.34
7.66
7.62
Pann. de particules (sauf OSB)
OSB
4.95
4.85
4.85
4.74
4.42
4.49
2.67
2.69
2.71
2.46
2.25
2.35
OSB
Fibreboard
13.90
14.17
14.10
14.72
14.71
14.71
7.39
7.13
7.04
8.20
7.67
7.66
Panneaux de fibres
– Hardboard
0.54
0.77
0.77
0.28
0.21
0.21
1.07
1.06
1.06
0.81
0.50
0.50
– Durs
– MDF
9.73
9.79
9.73
10.78
10.85
10.80
4.34
4.11
4.07
5.38
5.17
5.15
– MDF
– Other board
3.63
3.62
3.61
3.66
3.65
3.70
1.98
1.96
1.92
2.01
2.00
2.01
– Autres panneaux
Pulpwood a
236.74
226.37
228.68
222.94
221.89
226.49
39.16
28.87
23.98
25.35
24.38
21.78
Bois de trituration a
– Pulp logs
136.41
132.01
135.69
129.38
129.31
133.24
22.27
17.51
16.75
15.24
14.82
14.30
– Bois ronds de trituration
– softwood
94.59
94.23
97.54
93.34
93.43
96.20
12.19
11.24
11.45
10.95
10.44
10.11
– conifères
– hardwood
41.82
37.78
38.15
36.04
35.88
37.04
10.08
6.27
5.30
4.29
4.38
4.19
– non-conifères
– Residues, chips and particles
100.50
94.37
94.60
93.56
92.59
93.25
17.17
11.37
10.50
10.23
9.58
9.15
– Déchets, plaquettes et part.
Wood pulp
31.26
30.47
31.02
33.82
32.17
33.48
10.99
11.00
11.04
13.56
12.70
13.50
Pâte de bois
Paper and paperboard
47.70
46.94
46.97
64.68
62.48
63.49
29.98
29.24
29.29
46.96
44.78
45.81
Papiers et cartons
Wood Pellets
21.32
21.99
22.38
15.87
16.42
16.86
14.03
13.58
13.76
8.58
8.01
8.24
Granulés de bois
a Countries which did not provide trade data are included in consumption data
a La consommation comprend les pays qui n'ont pas fourni des données sur le commerce
b Trade figures by zone do not equal the total as some countries cannot provide data for both zones
b Les chiffres du commerce par zone ne correspondent pas aux totaux
en raison du fait que certains pays ne peuvent les différencier.
Table 15
3+4
TABLE 15
North America: Summary table of market forecasts for 2022 and 2023
Amérique du Nord: Tableau récapitulatif des prévisions du marché pour 2022 et 2023
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Dear Correspondent,
Thank you for contributing to the Joint Forest Sector Questionnaire (JFSQ). Before filling in the worksheets, please read these guidelines.
Please use only this questionnaire to report your data. The 2020 JFSQ contains no pre-filling.
Use this questionnaire also to revise any historical data - fill in the correct year and your name on the cover page.
The worksheet 'LAM & CHIPS' covers data on Glulam and X-lam. This sheet has a yellow drop-down cell where you can choose your unit of measurement.
The total number of sheets to be filled in is eight core sheets (green tabs - to be validated by Eurostat) plus three for ITTO (brown tabs - not validated by Eurostat). Four sheets containing cross-references are included at the end. The flat file is for Eurostat for validation purposes, please do not change any cells here.
Put all your data into one Excel file. If you send some data in later, give your file a new version number and date (see A.1. below) and notify us of the changes with respect to the previous version. Only send us completely filled-in sheets, highlighting the changes in yellow. Do not delete worksheets.
Each sheet has a working area for your input. Most sheets have checking cells and tables.
Each working area has white cells and shaded cells. Eurostat has highlighted the variables it considers most important for its publications - please fill those in as a priority.
When you submit a revision, please highlight changes in yellow and explain them in the appropriate 'Note' column.
Please use flags and notes (see A.6 below). This information is important for Eurostat.
A. General recommendations
A.1 Please use eDAMIS to send your questionnaire to Eurostat. Choose the correct domain ("FOREST_A_A") and the correct reference year (for this data collection: 2020).
A.2 Fill in the JFSQ quality report if you haven't done so yet. If you already sent the quality report to Eurostat before, please fill it in only if major changes had happened to its content.
A.3 The cover page is for your contact details, which are automatically copied to the other worksheets
• Check your country code
• If necessary change the reference year [red cell] as appropriate - the previous year will appear automatically
If you distribute worksheets to various experts, they can each put their contact details into the sheets. It will then be your job to put all the information together again and to verify the checking tables, since some of them will not work as designed in isolation.
A.4 Look at the unit of measurement to be used for each item and report in this unit if possible, using the conversion factors on the last page of the JFSQ definitions. Please report the monetary values in the same unit for both reporting years.
Only report data or modify cells in the working areas. Please do not delete checking areas or checking sheets.
• Look at the checking areas and make the necessary corrections to your data to remove all warnings (see the specific recommendations) before sending in your data.
Fill in real zeroes '0' in the worksheets if there is no production or trade. Empty cells will be interpreted as 'Data not available'.
• There are counters at the bottom of the tables to indicate the number of cells left to be filled in and the number of cells filled with text.
Report all data with at least three decimals. Do not use a separator for thousands; for the decimal point, please use the one set up by default.
A.5 Report numbers only. If data are confidential, please provide them if possible, appropriately flagged (see A.6).
• Eurostat has a right to all confidential data necessary for its work. It has an obligation to use such data only in aggregates and to respect all the legal obligations.
• If you cannot provide confidential data, a good option is to send in your own estimate flagged as a national estimate '9'.
• As a last resort, leave the cell empty, flag it and write a note indicating data sources and links.
Checking tables contain formulae to sum up the totals for sub-items.
A.6 Flag cells and write notes as appropriate. Flags should be entered in the 'Flag' columns and notes in the 'Note' columns for the appropriate year and item. The flags to use are:
• 5 for repeating the data of a previous year
• 6 for confidential data
• 7 for provisional data
• 9 for national estimate
B Specific recommendations
B.1 Sheet 'Removals over bark' is for volumes of wood products measured over bark. General over bark/under bark conversion factors are calculated automatically.
• Should you use different conversion factor(s) please delete the ones provided and insert your own
• If you only have under bark data, please leave this worksheet empty, but revise the table with the conversion factors.
• Unchanged conversion factors will be considered revised
A checking table verifies that sums of sub-items agree with the totals
B.2 Checking tables on worksheets improve data quality, verifying that:
• The sum of the sub-items equals the total
• The sum of 'of which' items is not larger than the total
All cells in a checking table should be zero or empty. If this is not the case, please check your numbers for the sub-items and totals. The checking table indicates the difference, so if you see a negative value, you will have to decide which number should be increased by that amount. The only exception is when no data are entered due to confidentiality.
B.3 Worksheets 'JQ2' and 'EU1' contain a checking table for apparent consumption and for unit values.
Apparent consumption = Production + Imports – Exports. It should be positive or nil. If this is not the case, the cell will change colour and indicate the difference.
• Please correct the data in the sheets until checking results are positive or nil. One solution is to increase production
• If the data are correct but apparent consumption is still negative, please explain why in the 'Note' column provided in the apparent consumption checking table.
B.4 Sheets 'JQ2', 'ECE-EU Species' and 'EU1' on trade have checking tables to verify data consistency. Both quantity and value must be present.
When something is missing, messages or coloured cells appear in the checking tables. Please correct your data until all warnings disappear.
The meaning of the messages is:
• 0: both value and quantity are zero – all is well, there is no trade
• ZERO Q: value is reported, quantity is zero - please correct
• ZERO V: quantity is reported, value is zero - please correct
• REPORT: both quantity and value are blank - please fill in
• NO Q: blank cell for quantity – please fill in
• NO V: blank cell for value – please fill in
Please enter even very small numbers to resolve problems, using as many decimal places as necessary.
If there is no way to correct the problem, please write an explanation in the 'Note' column.
If there is no trade for a product, please enter 0 for both quantity and value.
Thank you for collecting data for the JFSQ.
Eurostat's Forestry Team
JFSQ quality report
Joint Forest Sector Questionnaire
Quality Report
Quality information
Country reply
1
Contact
Country name
Country name
Contact organisation
Contact organisation
Contact name
Contact name
Contact email address
Contact email address
2
Changes to previous year
Necessity of update
Are there any changes to the quality report of the last data collection?
Please select YES or NO
If yes, please provide details below.
3
Statistical processing
Overview of the source data
Please provide an overview of the sources used to produce JFSQ data.
Do you use a dedicated survey (of the industry, of households, of forest owners, etc.)?
Please select YES or NO
If yes, please provide details (e.g., who are the respondents, what is its frequency?).
Do you use forestry statistics?
Please select YES or NO
If yes, please provide details.
Do you use national forest inventory?
Please select YES or NO
If yes, please provide details.
Do you use national PRODCOM data compiled according to the CPA classification?
Please select YES or NO
If yes, please provide details (which products, units, etc.).
Do you use any other national production statistics?
Please select YES or NO
If yes, please provide details.
Do you use data collected by associations of industry?
Please select YES or NO
If yes, please provide details.
Do you collect data from direct contacts with manufacturing companies?
Please select YES or NO
If yes, please provide details.
Do you use estimates of roundwood use (in manufacturing)?
Please select YES or NO
If yes, please provide details.
Do you use national trade data?
Please select YES or NO
If yes, please provide details.
Do you use felling reports?
Please select YES or NO
If yes, please provide details.
Do you use forestry companies' accounting network?
Please select YES or NO
If yes, please provide details.
Do you use administrative data (e.g. tax records, business registers)?
Please select YES or NO
If yes, please provide details.
Do you use data from national accounts?
Please select YES or NO
If yes, please provide details (e.g. for which data, from which account tables?).
Do you use SBS (Structural business statistics)?
Please select YES or NO
If yes, please provide details (e.g. for which data?).
Do you use other environmental accounts?
Please select YES or NO
If yes, please provide details.
Do you use other statistics (e.g. agriculture statistics)?
Please select YES or NO
If yes, please specify them.
Do you use any other sources?
Please select YES or NO
If yes, please specify them.
Methodological issues
Are there any pending classification or measurement issues?
Please select YES or NO
If yes, please specify them.
Data validation
Do you check the quality of the data collected to compile JFSQ?
Please select YES or NO
If yes, please explain the quality assurance procedure.
Do you compare JFSQ data with different data sources or do you perform other cross-checks?
Please select YES or NO
If yes, please explain your approach.
Do you have validation rules and other plausibility checks for the outputs of your JFSQ data compilation process?
Please select YES or NO
If yes, please briefly describe them.
4
Relevance
User needs
Please provide references to the relevance of JFSQ at national level e.g. main users, national indicator sets, quantitative policy targets etc.
5
Coherence and comparability
Coherence - cross domain
Do you compare the JFSQ results with business, energy and agricultural and foreign trade statistics?
Please select YES or NO
It not, please explain.
Do you compare the JFSQ results with business, energy and agricultural and foreign trade statistics?
Please select YES or NO
It not, please explain.
Do you cross-check the JFSQ data with the results of European Forest Accounts?
Please select YES or NO
If yes, please indicate for which reporting items, and comments on the discrepancies observed, if any. It not, please explain.
Coherence - internal
Are there any other consistency issues related to your JFSQ data?
Please select YES or NO
If yes, please explain them.
6
Accessibility and clarity
Publications
Do you disseminate JFSQ data nationally (e.g. in news releases or other documents)?
Please select YES or NO
If yes, please provide URLs and/or the reference to the relevant publications.
Online database
Do you publish your JFSQ accounts in an online data base?
Please select YES or NO
If yes, please provide URLs.
Documentation on methodology
Did you prepare a description of your national JFSQ methodology or metadata?
Please select YES or NO
If yes, please provide URLs.
Quality documentation
Do you have national quality documentation?
Please select YES or NO
If yes, please provide URLs.
7
Other comments
Other comments
Please provide any further feedback you might have on the quality of the reported data, sources and methods used and/or Eurostat's validation and quality report templates.
Cover
Joint Forest Sector Questionnaire
2020
DATA INPUT FILE
Correspondent country:
NL
Reference year:
2020
Fill in the year
Name of person responsible for reply:
Official address (in full):
P.O. Box 253, 6700 AG Wageningen
Telephone:
Fax:
E-mail:
Removals over bark
Country:
NL
Date: 12-11-2021
Name of Official responsible for reply:
0
Check Table
Official Address (in full):
EU JQ1 OB
P.O. Box 253, 6700 AG Wageningen
FOREST SECTOR QUESTIONNAIRE
Telephone:
0
0
Discrepancies
Removals
E-mail:
0
Please verify, if there's an error!
Year 1
Year 2
Flag
Flag
Note
Note
Product
Product
Unit
2019
2020
2019
2020
2019
2020
Product
Product
Unit
2019
2020
Code
Quantity
Quantity
Code
Quantity
Quantity
ROUNDWOOD REMOVALS OVERBARK
ROUNDWOOD REMOVALS OVERBARK
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ob
3538.636
3418.034
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ob
OK
OK
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ob
2642.9
2617.6
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ob
OK
OK
1.1.C
Coniferous
1000 m3ob
481.1
473.9
1.1.C
Coniferous
1000 m3ob
1.1.NC
Non-Coniferous
1000 m3ob
2161.8
2143.7
1.1.NC
Non-Coniferous
1000 m3ob
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ob
895.736
800.434
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ob
OK
OK
1.2.C
Coniferous
1000 m3ob
592.622
547.639
1.2.C
Coniferous
1000 m3ob
OK
OK
1.2.NC
Non-Coniferous
1000 m3ob
303.114
252.795
1.2.NC
Non-Coniferous
1000 m3ob
OK
OK
1.2.NC.T
of which: Tropical
1000 m3ob
0
0
1.2.NC.T
of which: Tropical
1000 m3ob
OK
OK
1.2.1
SAWLOGS AND VENEER LOGS
1000 m3ob
298.614
261.62
1.2.1
SAWLOGS AND VENEER LOGS
1000 m3ob
OK
OK
1.2.1.C
Coniferous
1000 m3ob
214.925
191.416
1.2.1.C
Coniferous
1000 m3ob
1.2.1.NC
Non-Coniferous
1000 m3ob
83.689
70.204
1.2.1.NC
Non-Coniferous
1000 m3ob
1.2.2
PULPWOOD, ROUND AND SPLIT
1000 m3ob
537.37
484.649
1.2.2
PULPWOOD, ROUND AND SPLIT
1000 m3ob
OK
OK
1.2.2.C
Coniferous
1000 m3ob
329.782
313.182
1.2.2.C
Coniferous
1000 m3ob
1.2.2.NC
Non-Coniferous
1000 m3ob
205.883
171.467
1.2.2.NC
Non-Coniferous
1000 m3ob
1.2.3
OTHER INDUSTRIAL ROUNDWOOD
1000 m3ob
61.457
54.165
1.2.3
OTHER INDUSTRIAL ROUNDWOOD
1000 m3ob
OK
OK
1.2.3.C
Coniferous
1000 m3ob
47.915
43.041
1.2.3.C
Coniferous
1000 m3ob
1.2.3.NC
Non-Coniferous
1000 m3ob
13.542
11.124
1.2.3.NC
Non-Coniferous
1000 m3ob
To fill:
0
0
Text:
0
0
Product
Product
Unit
2019
2020
Code
CF
CF
OVERBARK/UNDERBARK CONVERSION FACTORS
1
ROUNDWOOD (WOOD IN THE ROUGH)
m3/m3
1.154
1.152
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
m3/m3
1.136
1.136
1.1.C
Coniferous
m3/m3
1.137
1.136
1.1.NC
Non-Coniferous
m3/m3
1.136
1.136
1.2
INDUSTRIAL ROUNDWOOD
m3/m3
1.100
1.100
1.2.C
Coniferous
m3/m3
1.200
1.200
1.2.NC
Non-Coniferous
m3/m3
1.166
1.170
1.2.NC.T
of which: Tropical
m3/m3
ERROR:#DIV/0!
ERROR:#DIV/0!
1.2.1
SAWLOGS AND VENEER LOGS
m3/m3
1.214
1.220
1.2.1.C
Coniferous
m3/m3
1.235
1.240
1.2.1.NC
Non-Coniferous
m3/m3
1.100
1.100
1.2.2
PULPWOOD, ROUND AND SPLIT
m3/m3
1.200
1.200
1.2.2.C
Coniferous
m3/m3
1.235
1.226
1.2.2.NC
Non-Coniferous
m3/m3
1.100
1.100
1.2.3
OTHER INDUSTRIAL ROUNDWOOD
m3/m3
1.200
1.200
1.2.3.C
Coniferous
m3/m3
1.169
1.176
1.2.3.NC
Non-Coniferous
m3/m3
1.100
1.100
JQ1 Production
Country:
NL
Date: 12-11-2021
Name of Official responsible for reply:
0
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ1
P.O. Box 253, 6700 AG Wageningen
Industrial Roundwood Balance
PRIMARY PRODUCTS
Telephone:
0
0
changed from version 1
This table highlights discrepancies between items and sub-items. Please verify your data if there's an error!
Discrepancies
Removals and Production
E-mail:
0
test for good numbers, missing number, bad number, negative number
Year -1
Year
Flag
Flag
Note
Note
Product
Product
Unit
2019
2020
2019
2020
2019
2020
Product
Product
Unit
2019
2020
2019
2020
% 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
475
480
1%
m3 of wood in m3 or t of product
REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH)
REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH)
Recovered wood used in particle board
0
0
missing data
Solid wood equivalent
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
3067.7
2965.92
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
OK
OK
Solid Wood Demand
agglomerate production
325
328
1%
2.4
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
2325.7
2303.52
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
OK
OK
Sawnwood production
141
143
1%
1
1.1.C
Coniferous
1000 m3ub
423.3
417.02
9
Survey is still running
1.1.C
Coniferous
1000 m3ub
veneer production
0
0
missing data
1
1.1.NC
Non-Coniferous
1000 m3ub
1902.4
1886.5
9
Survey is still running
1.1.NC
Non-Coniferous
1000 m3ub
plywood production
0
0
missing data
1
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
742
662.4
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
OK
OK
particle board production (incl OSB)
0
0
missing data
1.58
1.2.C
Coniferous
1000 m3ub
482
446.4
1.2.C
Coniferous
1000 m3ub
OK
OK
fibreboard production
29
29
1%
1.8
1.2.NC
Non-Coniferous
1000 m3ub
260
216
1.2.NC
Non-Coniferous
1000 m3ub
OK
OK
mechanical/semi-chemical pulp production
34
37
9%
2.5
1.2.NC.T
of which: Tropical
1000 m3ub
0
0
1.2.NC.T
of which: Tropical
1000 m3ub
OK
OK
chemical pulp production
0
0
missing data
4.9
1.2.1
SAWLOGS AND VENEER LOGS
1000 m3ub
246
214.5
1.2.1
SAWLOGS AND VENEER LOGS
1000 m3ub
OK
OK
dissolving pulp production
0
0
missing data
5.7
1.2.1.C
Coniferous
1000 m3ub
174
154.4
9
Survey is still running
1.2.1.C
Coniferous
1000 m3ub
Availability
Solid Wood Demand
1,057
1,075
2%
1.2.1.NC
Non-Coniferous
1000 m3ub
72
60.1
9
Survey is still running
1.2.1.NC
Non-Coniferous
1000 m3ub
Difference (roundwood-demand)
-1,057
-1,075
2%
positive = surplus
1.2.2
PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD)
1000 m3ub
444
402
1.2.2
PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD)
1000 m3ub
OK
OK
gap (demand/availability)
-123%
-124%
Negative number means not enough roundwood available
1.2.2.C
Coniferous
1000 m3ub
267
255.4
9
Survey is still running
1.2.2.C
Coniferous
1000 m3ub
Positive number means more roundwood available than demanded
1.2.2.NC
Non-Coniferous
1000 m3ub
177
146.6
9
Survey is still running
1.2.2.NC
Non-Coniferous
1000 m3ub
1.2.3
OTHER INDUSTRIAL ROUNDWOOD
1000 m3ub
52
45.9
1.2.3
OTHER INDUSTRIAL ROUNDWOOD
1000 m3ub
OK
OK
1.2.3.C
Coniferous
1000 m3ub
41
36.6
9
Survey is still running
1.2.3.C
Coniferous
1000 m3ub
% of particle board that is from recovered wood
35%
1.2.3.NC
Non-Coniferous
1000 m3ub
11
9.3
9
Survey is still running
1.2.3.NC
Non-Coniferous
1000 m3ub
share of agglomerates produced from industrial roundwood residues
100%
PRODUCTION
PRODUCTION
usable industrial roundwood - amount of roundwood that is used, remainder leaves industry
98.5%
2
WOOD CHARCOAL
1000 t
0
0
2
WOOD CHARCOAL
1000 t
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
939
972
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
OK
OK
3.1
WOOD CHIPS AND PARTICLES
1000 m3
82
83
7
3.1
WOOD CHIPS AND PARTICLES
1000 m3
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
857
889
7
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
4
RECOVERED POST-CONSUMER WOOD
1000 t
1560
1560
4
RECOVERED POST-CONSUMER WOOD
1000 t
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
325
328.2
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
OK
OK
5.1
WOOD PELLETS
1000 t
303
306.7
9
Survey is still running
5.1
WOOD PELLETS
1000 t
5.2
OTHER AGGLOMERATES
1000 t
22
21.5
9
Survey is still running
5.2
OTHER AGGLOMERATES
1000 t
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
141
143
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
OK
OK
6.C
Coniferous
1000 m3
90
94.9
9
Survey is still running
6.C
Coniferous
1000 m3
6.NC
Non-Coniferous
1000 m3
51
48.1
9
Survey is still running
6.NC
Non-Coniferous
1000 m3
6.NC.T
of which: Tropical
1000 m3
6
6.2
9
Survey is still running
6.NC.T
of which: Tropical
1000 m3
OK
OK
7
VENEER SHEETS
1000 m3
0
0
7
VENEER SHEETS
1000 m3
OK
OK
7.C
Coniferous
1000 m3
0
0
7.C
Coniferous
1000 m3
7.NC
Non-Coniferous
1000 m3
0
0
7.NC
Non-Coniferous
1000 m3
7.NC.T
of which: Tropical
1000 m3
0
0
7.NC.T
of which: Tropical
1000 m3
OK
OK
8
WOOD-BASED PANELS
1000 m3
29
29
8
WOOD-BASED PANELS
1000 m3
OK
OK
8.1
PLYWOOD
1000 m3
0
0
8.1
PLYWOOD
1000 m3
OK
OK
8.1.C
Coniferous
1000 m3
0
0
8.1.C
Coniferous
1000 m3
8.1.NC
Non-Coniferous
1000 m3
0
0
8.1.NC
Non-Coniferous
1000 m3
8.1.NC.T
of which: Tropical
1000 m3
0
0
8.1.NC.T
of which: Tropical
1000 m3
OK
OK
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
0
0
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
0
0
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
OK
OK
8.3
FIBREBOARD
1000 m3
29
29
8.3
FIBREBOARD
1000 m3
OK
OK
8.3.1
HARDBOARD
1000 m3
0
0
8.3.1
HARDBOARD
1000 m3
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
0
0
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
8.3.3
OTHER FIBREBOARD
1000 m3
28.751
29
9
Survey is still running
8.3.3
OTHER FIBREBOARD
1000 m3
9
WOOD PULP
1000 t
33.821
37
9
WOOD PULP
1000 t
OK
OK
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
33.821
37
9
Survey is still running
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
9.2
CHEMICAL WOOD PULP
1000 t
0
0
9.2
CHEMICAL WOOD PULP
1000 t
OK
OK
9.2.1
SULPHATE PULP
1000 t
0
0
9.2.1
SULPHATE PULP
1000 t
9.2.1.1
of which: BLEACHED
1000 t
0
0
9.2.1.1
of which: BLEACHED
1000 t
OK
OK
9.2.2
SULPHITE PULP
1000 t
0
0
9.2.2
SULPHITE PULP
1000 t
9.3
DISSOLVING GRADES
1000 t
0
0
9.3
DISSOLVING GRADES
1000 t
10
OTHER PULP
1000 t
1901
1918
9
10
OTHER PULP
1000 t
OK
OK
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
0
0
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
10.2
RECOVERED FIBRE PULP
1000 t
1901
1918
5
10.2
RECOVERED FIBRE PULP
1000 t
11
RECOVERED PAPER
1000 t
2578
2601
5
Annual report not yet available
11
RECOVERED PAPER
1000 t
12
PAPER AND PAPERBOARD
1000 t
2895
2869
9
Annual report not yet available
12
PAPER AND PAPERBOARD
1000 t
OK
OK
12.1
GRAPHIC PAPERS
1000 t
606
526
9
Annual report not yet available
12.1
GRAPHIC PAPERS
1000 t
OK
OK
12.1.1
NEWSPRINT
1000 t
0
0
12.1.1
NEWSPRINT
1000 t
12.1.2
UNCOATED MECHANICAL
1000 t
0
0
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
94
94
9
Annual report not yet available
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
12.3
PACKAGING MATERIALS
1000 t
2195
2249
9
Annual report not yet available
12.3
PACKAGING MATERIALS
1000 t
OK
OK
12.3.1
CASE MATERIALS
1000 t
1316
1316
9
Annual report not yet available
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
0
0
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1
1000 t
33.821
37.000
To fill:
5
5
Text:
0
0
m3 = cubic metres solid volume
t = metric tonnes
JQ2 Trade
61
62
61
62
91
92
91
92
FOREST SECTOR QUESTIONNAIRE JQ2
Country:
NL
Date: 12-11-2021
0
both VALUE and quantity reported ZERO
Name of Official responsible for reply:
0
ZERO Q
quantity ZERO when VALUE is reported
INTRA-EU
The difference might be caused by Intra-EU trade
PRIMARY PRODUCTS
Official Address (in full):
P.O. Box 253, 6700 AG Wageningen
This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data!
ZERO V
Value ZERO when quantity is reported
CHECK
Trade
Telephone:
0
Fax:
0
This table highlights discrepancies between items and sub-items. Please verify your data if there's an error!
ZERO CHECK 1 - if no value please CHECK
NO Q
no quantity reported
ZERO CHECK 2 - if no value in Zero Check 1
Value must always be in 1000 NAC (national currency)
E-mail:
0
Flag
Flag
Flag
Flag
Flag
Flag
Flag
Flag
Note
Note
Note
Note
Note
Note
Note
Note
Country:
NL
NO V
no value reported
Treshold:
2
verifies whether the JQ2 figures refers only to intra-EU trade
Specify Currency and Unit of Value (e.g.:1000 US $):
1000 NAC
Trade
Discrepancies
REPORT
no figures reported
Product
Unit of
I M P O R T
E X P O R T
Import
Export
Import
Export
Product
I M P O R T
E X P O R T
Product
Apparent Consumption
Related Notes
Product
Value per
I M P O R T
E X P O R T
Column1
Column2
Product
Value per
I M P O R T
E X P O R T
code
Product
quantity
2019
2020
2019
2020
2019
2020
2019
2020
2019
2020
2019
2020
code
2019
2020
2019
2020
code
2019
2020
2019
2020
code
Product
unit
2019
2020
2019
2020
IMPORT
EXPORT
code
Product
unit
2019
2020
2019
2020
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
340.82
49286
371.938
51803
838.563
35204
789.294
31751
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
OK
OK
OK
OK
OK
OK
OK
OK
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
2,570
17,048
1
ROUNDWOOD (WOOD IN THE ROUGH)
NAC/m3
145
139
42
40
ACCEPT
ACCEPT
1
ROUNDWOOD (WOOD IN THE ROUGH)
NAC/m3
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
57.768
3622
60.668
4117
340.263
5676
341.063
5683
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
OK
OK
OK
OK
OK
OK
OK
OK
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
2,043
249
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
NAC/m3
63
68
17
17
ACCEPT
ACCEPT
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
NAC/m3
1.1.C
Coniferous
1000 m3ub
32.568
958
28.868
849
102.389
3012
102.289
3009
1.1.C
Coniferous
1000 m3ub
1.1.C
Coniferous
1000 m3ub
353
-1,637
1.1.C
Coniferous
NAC/m3
29
29
29
29
ACCEPT
ACCEPT
1.1.C
Coniferous
NAC/m3
1.1.NC
Non-Coniferous
1000 m3ub
25.2
2664
31.8
3268
237.874
2664
238.774
2674
1.1.NC
Non-Coniferous
1000 m3ub
1.1.NC
Non-Coniferous
1000 m3ub
1,690
1,887
1.1.NC
Non-Coniferous
NAC/m3
106
103
11
11
ACCEPT
ACCEPT
1.1.NC
Non-Coniferous
NAC/m3
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
283.052
45664
311.27
47686
498.3
29528
448.231
26067
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
OK
OK
OK
OK
OK
OK
OK
OK
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
527
16,798
1.2
INDUSTRIAL ROUNDWOOD
NAC/m3
161
153
59
58
ACCEPT
ACCEPT
1.2
INDUSTRIAL ROUNDWOOD
NAC/m3
1.2.C
Coniferous
1000 m3ub
162.577
12790
191.814
15090
295
13444
280.073
12764
1.2.C
Coniferous
1000 m3ub
1.2.C
Coniferous
1000 m3ub
350
-208
1.2.C
Coniferous
NAC/m3
79
79
46
46
ACCEPT
ACCEPT
1.2.C
Coniferous
NAC/m3
1.2.NC
Non-Coniferous
1000 m3ub
120.475
32874
119.456
32596
203.3
16084
168.158
13304
1.2.NC
Non-Coniferous
1000 m3ub
1.2.NC
Non-Coniferous
1000 m3ub
177
17,006
1.2.NC
Non-Coniferous
NAC/mt
273
273
79
79
ACCEPT
ACCEPT
1.2.NC
Non-Coniferous
NAC/mt
1.2.NC.T
of which: Tropical
1000 m3ub
19.5
13452
13.6
10381
6.2
4580
10.2
6834
1.2.NC.T
of which: Tropical
1000 m3ub
OK
OK
OK
OK
OK
OK
OK
OK
1.2.NC.T
of which: Tropical
1000 m3ub
13
8,872
1.2.NC.T
of which: Tropical
1000 m3
690
763
739
670
ACCEPT
ACCEPT
1.2.NC.T
of which: Tropical
1000 m3
2
WOOD CHARCOAL
1000 t
46
27448
47.04
25549
8.2
23024
2.0
3354.0
2
WOOD CHARCOAL
1000 t
2
WOOD CHARCOAL
1000 t
38
4,424
2
WOOD CHARCOAL
1000 m3
597
543
2808
1700
ACCEPT
ACCEPT
2
WOOD CHARCOAL
1000 m3
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
626.2
24804
630.6
60506
712.7
35993
646
33862
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
853
-10,217
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
40
96
51
52
CHECK
ACCEPT
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
331.9
13847
190.9
48096
522
9669
458
8477
3.1
WOOD CHIPS AND PARTICLES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
-108
4,261
3.1
WOOD CHIPS AND PARTICLES
1000 mt
42
252
19
19
CHECK
ACCEPT
3.1
WOOD CHIPS AND PARTICLES
1000 mt
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
294.3
10957
439.7
12410
190.7
26324
187.9
25385
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
961
-14,478
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 mt
37
28
138
135
ACCEPT
ACCEPT
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 mt
4
RECOVERED POST-CONSUMER WOOD
1000 t
517
517
225
225
4
RECOVERED POST-CONSUMER WOOD
1000 t
4
RECOVERED POST-CONSUMER WOOD
1000 t
1,852
1,560
4
RECOVERED POST-CONSUMER WOOD
1000 mt
NO V
NO V
NO V
NO V
CHECK
CHECK
4
RECOVERED POST-CONSUMER WOOD
1000 mt
CHECK
CHECK
CHECK
CHECK
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
1068.5
163805
2313.1
365260
226.1
64227
241.8
60856
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
OK
OK
OK
OK
OK
OK
OK
OK
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
1,167
99,906
5
WOOD PELLETS AND OTHER AGGLOMERATES
NAC/m3
153
158
284
252
ACCEPT
ACCEPT
5
WOOD PELLETS AND OTHER AGGLOMERATES
NAC/m3
5.1
WOOD PELLETS
1000 t
1050.1
158615
2296.7
361574
199.1
51323
155.2
42014
5.1
WOOD PELLETS
1000 t
5.1
WOOD PELLETS
1000 t
1,154
107,599
5.1
WOOD PELLETS
NAC/m3
151
157
258
271
ACCEPT
ACCEPT
5.1
WOOD PELLETS
NAC/m3
5.2
OTHER AGGLOMERATES
1000 t
18.4
5190
16.4
3686
27
12904
86.6
18842
5.2
OTHER AGGLOMERATES
1000 t
5.2
OTHER AGGLOMERATES
1000 t
13
-7,693
5.2
OTHER AGGLOMERATES
NAC/m3
282
225
478
218
ACCEPT
CHECK
5.2
OTHER AGGLOMERATES
NAC/m3
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
3355
848449
3480.7
852563
767.4
208414
679.7
213529
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
2,729
640,178
6
SAWNWOOD (INCLUDING SLEEPERS)
NAC/m3
253
245
272
314
ACCEPT
ACCEPT
6
SAWNWOOD (INCLUDING SLEEPERS)
NAC/m3
6.C
Coniferous
1000 m3
2988.9
622140
3132
638707
690.8
141812
596.4
143320
6.C
Coniferous
1000 m3
6.C
Coniferous
1000 m3
2,388
480,423
6.C
Coniferous
NAC/m3
208
204
205
240
ACCEPT
ACCEPT
6.C
Coniferous
NAC/m3
6.NC
Non-Coniferous
1000 m3
366.1
226309
348.7
213856
76.6
66602
83.3
70209
6.NC
Non-Coniferous
1000 m3
6.NC
Non-Coniferous
1000 m3
341
159,755
6.NC
Non-Coniferous
NAC/m3
618
613
869
843
ACCEPT
ACCEPT
6.NC
Non-Coniferous
NAC/m3
6.NC.T
of which: Tropical
1000 m3
180.9
148366
164.2
131846
29
29914
29
30346
6.NC.T
of which: Tropical
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
6.NC.T
of which: Tropical
1000 m3
158
118,458
6.NC.T
of which: Tropical
NAC/m3
820
803
1032
1046
ACCEPT
ACCEPT
6.NC.T
of which: Tropical
NAC/m3
7
VENEER SHEETS
1000 m3
34.3
27256
29.8
35479
11.7
10249
12.3
6642
7
VENEER SHEETS
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
7
VENEER SHEETS
1000 m3
23
17,007
7
VENEER SHEETS
NAC/m3
795
1191
876
540
ACCEPT
ACCEPT
7
VENEER SHEETS
NAC/m3
7.C
Coniferous
1000 m3
17.6
6299
9.7
7809
0.5
416
0.9
621
7.C
Coniferous
1000 m3
7.C
Coniferous
1000 m3
17
5,883
7.C
Coniferous
NAC/m3
358
805
832
690
CHECK
ACCEPT
7.C
Coniferous
NAC/m3
7.NC
Non-Coniferous
1000 m3
16.7
20957
20.1
27670
11.2
9833
11.4
6021
7.NC
Non-Coniferous
1000 m3
7.NC
Non-Coniferous
1000 m3
6
11,124
7.NC
Non-Coniferous
NAC/m3
1255
1377
878
528
ACCEPT
ACCEPT
7.NC
Non-Coniferous
NAC/m3
7.NC.T
of which: Tropical
1000 m3
6
4145
13.2
8204
0.2
197
0.2
682
7.NC.T
of which: Tropical
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
7.NC.T
of which: Tropical
1000 m3
6
3,948
7.NC.T
of which: Tropical
NAC/m3
691
622
985
3410
ACCEPT
CHECK
7.NC.T
of which: Tropical
NAC/m3
8
WOOD-BASED PANELS
1000 m3
1757
697020
1801.9
690797
356.9
166987
279.8
149479
8
WOOD-BASED PANELS
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
8
WOOD-BASED PANELS
1000 m3
1,429
530,062
8
WOOD-BASED PANELS
NAC/m3
397
383
468
534
ACCEPT
ACCEPT
8
WOOD-BASED PANELS
NAC/m3
8.1
PLYWOOD
1000 m3
604.7
312437
634.5
319434
83.8
64910
89
65613
8.1
PLYWOOD
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
8.1
PLYWOOD
1000 m3
521
247,527
8.1
PLYWOOD
NAC/m3
517
503
775
737
ACCEPT
ACCEPT
8.1
PLYWOOD
NAC/m3
8.1.C
Coniferous
1000 m3
298.3
113296
303
114234
14.1
8515
17.8
10124
8.1.C
Coniferous
1000 m3
8.1.C
Coniferous
1000 m3
284
104,781
8.1.C
Coniferous
NAC/m3
380
377
604
569
ACCEPT
ACCEPT
8.1.C
Coniferous
NAC/m3
8.1.NC
Non-Coniferous
1000 m3
306.4
199141
331.5
205200
69.7
56395
71.2
55489
8.1.NC
Non-Coniferous
1000 m3
8.1.NC
Non-Coniferous
1000 m3
237
142,746
8.1.NC
Non-Coniferous
NAC/m3
650
619
809
779
ACCEPT
ACCEPT
8.1.NC
Non-Coniferous
NAC/m3
8.1.NC.T
of which: Tropical
1000 m3
95.9
79878
108.9
86061
36.2
30314
39.5
30254
8.1.NC.T
of which: Tropical
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
8.1.NC.T
of which: Tropical
1000 m3
60
49,564
8.1.NC.T
of which: Tropical
NAC/m3
833
790
837
766
ACCEPT
ACCEPT
8.1.NC.T
of which: Tropical
NAC/m3
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
603.2
158794
627.2
151419
113.7
29630
84.6
24804
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
490
129,164
8.2
PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD
NAC/m3
263
241
261
293
ACCEPT
ACCEPT
8.2
PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD
NAC/m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
143.6
33744
171
35682
11.8
3143
3.5
931
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
132
30,601
8.2.1
of which: ORIENTED STRANDBOARD (OSB)
NAC/m3
235
209
266
266
ACCEPT
ACCEPT
8.2.1
of which: ORIENTED STRANDBOARD (OSB)
NAC/m3
8.3
FIBREBOARD
1000 m3
549.1
225789
540.2
219944
159.4
72447
106.2
59062
8.3
FIBREBOARD
1000 m3
OK
OK
OK
OK
OK
OK
OK
OK
8.3
FIBREBOARD
1000 m3
418
153,371
8.3
FIBREBOARD
NAC/m3
411
407
454
556
ACCEPT
ACCEPT
8.3
FIBREBOARD
NAC/m3
8.3.1
HARDBOARD
1000 m3
64.5
42411
63.7
38769
10.3
11649
20.6
11803
8.3.1
HARDBOARD
1000 m3
8.3.1
HARDBOARD
1000 m3
54
30,762
8.3.1
HARDBOARD
NAC/mt
658
609
1131
573
ACCEPT
ACCEPT
8.3.1
HARDBOARD
NAC/mt
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
412.4
164800
398.5
160799
142.9
56951
80.7
43173
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
270
107,849
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
NAC/mt
400
404
399
535
ACCEPT
ACCEPT
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
NAC/mt
8.3.3
OTHER FIBREBOARD
1000 m3
72.2
18578
78
20376
6.2
3847
4.9
4086
8.3.3
OTHER FIBREBOARD
1000 m3
8.3.3
OTHER FIBREBOARD
1000 m3
95
14,760
8.3.3
OTHER FIBREBOARD
NAC/mt
257
261
620
834
ACCEPT
ACCEPT
8.3.3
OTHER FIBREBOARD
NAC/mt
9
WOOD PULP
1000 t
1486.25
863611
1804.771
802858
803.7
456266
682.161
350772
9
WOOD PULP
1000 t
OK
OK
OK
OK
OK
OK
OK
OK
9
WOOD PULP
1000 t
716
407,382
9
WOOD PULP
NAC/mt
581
445
568
514
ACCEPT
ACCEPT
9
WOOD PULP
NAC/mt
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
177.4
79792
202.8
76844
77.7
38294
4.1
1741
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
134
41,535
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
NAC/mt
450
379
493
425
ACCEPT
ACCEPT
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
NAC/mt
9.2
CHEMICAL WOOD PULP
1000 t
1288.9
759341
1579.1
697406
725.7
417794
677.7
348760
9.2
CHEMICAL WOOD PULP
1000 t
OK
OK
OK
OK
OK
OK
OK
OK
9.2
CHEMICAL WOOD PULP
1000 t
563
341,547
9.2
CHEMICAL WOOD PULP
NAC/mt
589
442
576
515
ACCEPT
ACCEPT
9.2
CHEMICAL WOOD PULP
NAC/mt
9.2.1
SULPHATE PULP
1000 t
1286.5
755373
1572.4
689035
725.2
416821
675.3
344734
9.2.1
SULPHATE PULP
1000 t
9.2.1
SULPHATE PULP
1000 t
561
338,552
9.2.1
SULPHATE PULP
NAC/mt
587
438
575
510
ACCEPT
ACCEPT
9.2.1
SULPHATE PULP
NAC/mt
9.2.1.1
of which: BLEACHED
1000 t
1285.2
754470
1571.3
688358
725.1
416768
674.8
344494
9.2.1.1
of which: BLEACHED
1000 t
OK
OK
OK
OK
OK
OK
OK
OK
9.2.1.1
of which: BLEACHED
1000 t
560
337,702
9.2.1.1
of which: BLEACHED
NAC/mt
587
438
575
511
ACCEPT
ACCEPT
9.2.1.1
of which: BLEACHED
NAC/mt
9.2.2
SULPHITE PULP
1000 t
2.4
3968
6.7
8371
0.5
973
2.4
4026
9.2.2
SULPHITE PULP
1000 t
9.2.2
SULPHITE PULP
1000 t
2
2,995
9.2.2
SULPHITE PULP
NAC/mt
1653
1249
1946
1678
ACCEPT
ACCEPT
9.2.2
SULPHITE PULP
NAC/mt
9.3
DISSOLVING GRADES
1000 t
19.95
24478
22.871
28608
0.3
178
0.361
271
9.3
DISSOLVING GRADES
1000 t
9.3
DISSOLVING GRADES
1000 t
20
24,300
9.3
DISSOLVING GRADES
NAC/mt
1227
1251
593
751
ACCEPT
ACCEPT
9.3
DISSOLVING GRADES
NAC/mt
10
OTHER PULP
1000 t
29.6
60740
29.9
59957
5
8966
20.5
31221
10
OTHER PULP
1000 t
OK
OK
OK
OK
OK
OK
OK
OK
10
OTHER PULP
1000 t
1,926
53,692
10
OTHER PULP
NAC/mt
2052
2005
1793
1523
ACCEPT
ACCEPT
10
OTHER PULP
NAC/mt
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
25.1
58589
25.3
57784
4.2
8491
14.7
29720
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
21
50,098
10.1
PULP FROM FIBRES OTHER THAN WOOD
NAC/mt
2334
2284
2022
2022
ACCEPT
ACCEPT
10.1
PULP FROM FIBRES OTHER THAN WOOD
NAC/mt
10.2
RECOVERED FIBRE PULP
1000 t
4.5
2151
4.6
2173
0.8
475
5.8
1501
10.2
RECOVERED FIBRE PULP
1000 t
10.2
RECOVERED FIBRE PULP
1000 t
1,905
3,594
10.2
RECOVERED FIBRE PULP
NAC/mt
478
472
594
259
ACCEPT
CHECK
10.2
RECOVERED FIBRE PULP
NAC/mt
11
RECOVERED PAPER
1000 t
1676
197677
2304
202546
2367.7
319840
2240
278564
11
RECOVERED PAPER
1000 t
11
RECOVERED PAPER
1000 t
1,886
-119,562
11
RECOVERED PAPER
NAC/mt
118
88
135
124
ACCEPT
ACCEPT
11
RECOVERED PAPER
NAC/mt
12
PAPER AND PAPERBOARD
1000 t
2331.5
1846319
2278.3
1719077
2555.6
1960702
2538.7
1831473
12
PAPER AND PAPERBOARD
1000 t
OK
OK
OK
OK
OK
OK
OK
OK
12
PAPER AND PAPERBOARD
1000 t
2,671
-111,514
12
PAPER AND PAPERBOARD
NAC/mt
792
755
767
721
ACCEPT
ACCEPT
12
PAPER AND PAPERBOARD
NAC/mt
12.1
GRAPHIC PAPERS
1000 t
708.1
597187
682.6
547541
854.5
717715
772.7
649428
12.1
GRAPHIC PAPERS
1000 t
OK
OK
OK
OK
OK
OK
OK
OK
12.1
GRAPHIC PAPERS
1000 t
460
-120,002
12.1
GRAPHIC PAPERS
NAC/mt
843
802
840
840
ACCEPT
ACCEPT
12.1
GRAPHIC PAPERS
NAC/mt
12.1.1
NEWSPRINT
1000 t
270.5
134552
228.8
94993
24.6
11830
20.7
8668
12.1.1
NEWSPRINT
1000 t
12.1.1
NEWSPRINT
1000 t
246
122,722
12.1.1
NEWSPRINT
NAC/mt
497
415
481
419
ACCEPT
ACCEPT
12.1.1
NEWSPRINT
NAC/mt
12.1.2
UNCOATED MECHANICAL
1000 t
35.1
30333
32.6
25464
228.7
119240
180.8
82479
12.1.2
UNCOATED MECHANICAL
1000 t
12.1.2
UNCOATED MECHANICAL
1000 t
-194
-88,907
12.1.2
UNCOATED MECHANICAL
NAC/mt
864
781
521
456
ACCEPT
ACCEPT
12.1.2
UNCOATED MECHANICAL
NAC/mt
12.1.3
UNCOATED WOODFREE
1000 t
215.8
230008
205.6
214213
234.8
217891
240.9
242989
12.1.3
UNCOATED WOODFREE
1000 t
12.1.3
UNCOATED WOODFREE
1000 t
-19
12,117
12.1.3
UNCOATED WOODFREE
NAC/mt
1066
1042
928
1009
ACCEPT
ACCEPT
12.1.3
UNCOATED WOODFREE
NAC/mt
12.1.4
COATED PAPERS
1000 t
186.7
202294
215.6
212871
366.4
368754
330.3
315292
12.1.4
COATED PAPERS
1000 t
12.1.4
COATED PAPERS
1000 t
-180
-166,460
12.1.4
COATED PAPERS
NAC/mt
1084
987
1006
955
ACCEPT
ACCEPT
12.1.4
COATED PAPERS
NAC/mt
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
48
70185
34.1
48333
14.8
30792
18.4
34559
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
127
39,487
12.2
HOUSEHOLD AND SANITARY PAPERS
NAC/mt
1462
1417
2081
1878
ACCEPT
ACCEPT
12.2
HOUSEHOLD AND SANITARY PAPERS
NAC/mt
12.3
PACKAGING MATERIALS
1000 t
1560.7
1089345
1533.4
1025771
1682.6
1119291
1740.7
1057292
12.3
PACKAGING MATERIALS
1000 t
OK
OK
OK
OK
OK
OK
OK
OK
12.3
PACKAGING MATERIALS
1000 t
2,073
-27,697
12.3
PACKAGING MATERIALS
NAC/mt
698
669
665
607
ACCEPT
ACCEPT
12.3
PACKAGING MATERIALS
NAC/mt
12.3.1
CASE MATERIALS
1000 t
787.6
380543
806.6
355618
1242.6
523567
1267.9
464527
12.3.1
CASE MATERIALS
1000 t
12.3.1
CASE MATERIALS
1000 t
861
-141,708
12.3.1
CASE MATERIALS
NAC/mt
483
441
421
366
ACCEPT
ACCEPT
12.3.1
CASE MATERIALS
NAC/mt
12.3.2
CARTONBOARD
1000 t
412.6
392878
393.4
386977
292.7
414347
289.4
385966
12.3.2
CARTONBOARD
1000 t
12.3.2
CARTONBOARD
1000 t
120
-21,469
12.3.2
CARTONBOARD
NAC/mt
952
984
1416
1334
ACCEPT
ACCEPT
12.3.2
CARTONBOARD
NAC/mt
12.3.3
WRAPPING PAPERS
1000 t
236.6
230374
215.6
196459
118.7
168707
129.8
179337
12.3.3
WRAPPING PAPERS
1000 t
12.3.3
WRAPPING PAPERS
1000 t
118
61,667
12.3.3
WRAPPING PAPERS
NAC/mt
974
911
1421
1382
ACCEPT
ACCEPT
12.3.3
WRAPPING PAPERS
NAC/mt
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
123.9
85550
117.8
86717
28.6
12670
53.6
27462
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
95
72,880
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
NAC/mt
690
736
443
512
ACCEPT
ACCEPT
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
NAC/mt
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 t
14.7
89602
28.2
97432
3.7
92904
6.9
90194
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
11
-3,302
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
NAC/mt
6095
3455
25109
13072
ACCEPT
ACCEPT
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
Mechanical wood pulp, semi-chemical wood pulp and pulp from fibres other than wood 9.1+10.1
1000 t
202.500
138381.000
228.100
134628.000
81.900
46785.000
18.800
31461.000
To fill:
0
1
0
1
0
1
0
1
Text:
0
0
0
0
0
0
0
0
JQ3 Secondary PP Trade
62
91
91
Country:
NL
Date: 12-11-2021
Name of Official responsible for reply:
0
Specify Currency and Unit of Value (e.g.:1000 US $):
_____________________
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ3
P.O. Box 253, 6700 AG Wageningen
SECONDARY PROCESSED PRODUCTS
Telephone/Fax:
0
0
Trade
E-mail:
0
This table highlights discrepancies between items and sub-items. Please verify your data if there's an error!
Value must always be in 1000 NAC (national currency)
Flag
Flag
Flag
Flag
Note
Note
Note
Note
Discrepancies
Eurozone countries may use the old national currency, but only in both years
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
2019
2020
2019
2020
2019
2020
2019
2020
2019
2020
2019
2020
Code
2019
2020
2019
2020
13
SECONDARY WOOD PRODUCTS
2456644
2502786
1335975
1475094
13
SECONDARY WOOD PRODUCTS
OK
OK
OK
OK
13.1
FURTHER PROCESSED SAWNWOOD
82754
87547
34876
32490
13.1
FURTHER PROCESSED SAWNWOOD
OK
OK
OK
OK
13.1.C
Coniferous
14624
14764
2190
4422
13.1.C
Coniferous
13.1.NC
Non-coniferous
68130
72783
32686
28068
13.1.NC
Non-coniferous
13.1.NC.T
of which: Tropical
51784
54128
4751
7290
13.1.NC.T
of which: Tropical
OK
OK
OK
OK
13.2
WOODEN WRAPPING AND PACKAGING MATERIAL
146827
125633
144201
149416
13.2
WOODEN WRAPPING AND PACKAGING MATERIAL
13.3
WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
122992
119191
84447
96302
13.3
WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4
BUILDER’S JOINERY AND CARPENTRY OF WOOD
330182
334777
156818
140081
13.4
BUILDER’S JOINERY AND CARPENTRY OF WOOD
13.5
WOODEN FURNITURE
1554805
1588480
732326
835715
13.5
WOODEN FURNITURE
13.6
PREFABRICATED BUILDINGS OF WOOD
48712
54889
32742
59579
13.6
PREFABRICATED BUILDINGS OF WOOD
13.7
OTHER MANUFACTURED WOOD PRODUCTS
170372
192269
150565
161511
13.7
OTHER MANUFACTURED WOOD PRODUCTS
14
SECONDARY PAPER PRODUCTS
2047955
1939781
2426412
2360674
14
SECONDARY PAPER PRODUCTS
OK
OK
OK
OK
14.1
COMPOSITE PAPER AND PAPERBOARD
8841
11636
305084
268079
14.1
COMPOSITE PAPER AND PAPERBOARD
14.2
SPECIAL COATED PAPER AND PULP PRODUCTS
186230
175635
118909
146504
14.2
SPECIAL COATED PAPER AND PULP PRODUCTS
14.3
HOUSEHOLD AND SANITARY PAPER, READY FOR USE
332020
335055
256204
317152
14.3
HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4
PACKAGING CARTONS, BOXES ETC.
933522
887255
1128164
1070393
14.4
PACKAGING CARTONS, BOXES ETC.
14.5
OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE
587342
530200
618051
558546
14.5
OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE
OK
OK
OK
OK
14.5.1
of which: PRINTING AND WRITING PAPER, READY FOR USE
48954
35323
35113
36724
14.5.1
of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2
of which: ARTICLES, MOULDED OR PRESSED FROM PULP
20397
21211
37842
40332
14.5.2
of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3
of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
18004
13080
28492
29651
14.5.3
of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
To fill:
0
0
0
0
Text:
0
0
0
0
LAM & CHIPS
Unit of quantity:
Please select
Year
Product
Flow
Year
App. Cons.
Unit price
Production
Total Export
Total Import
Extra-EU Export
Extra-EU Import
TOT EXP
TOT IMP
X-EU EXP
X-EU IMP
Please select
Please select
1000 NAC
Please select
1000 NAC
Please select
1000 NAC
Please select
1000 NAC
Please select
2019
Glulam
2019
0
ERROR:#DIV/0!
ERROR:#DIV/0!
ERROR:#DIV/0!
ERROR:#DIV/0!
2020
2020
0
ERROR:#DIV/0!
ERROR:#DIV/0!
ERROR:#DIV/0!
ERROR:#DIV/0!
2019
X-lam
2019
0
ERROR:#DIV/0!
ERROR:#DIV/0!
ERROR:#DIV/0!
ERROR:#DIV/0!
2020
2020
0
ERROR:#DIV/0!
ERROR:#DIV/0!
ERROR:#DIV/0!
ERROR:#DIV/0!
Definitions:
Glulam: Builders' carpentry also includes glue-laminated timber (glulam), which is a structural timber product obtained by gluing together a number of wood laminations having their grain essentially parallel. Laminations of curved members are arranged so that the plane of each lamination is at 90 degrees to the plane of the applied load; thus, laminations of a straight gluman beam are laid flat. [from HS 4418, Builders' joinery and carpentry of wood, including cellular wood panels, assembled flooring panels, shingles and shakes]
X-lam: Panels consisting of laths of roughly sawn wood, assembled with glue in order to facilitate transport or later working. [from HS4421, Other articles of wood]
ECE-EU Species
Country:
NL
Date: 12-11-2021
Name of Official responsible for reply:
0
DISCREPANCIES
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade
Official Address (in full):
Checks
Check Table
P.O. Box 253, 6700 AG Wageningen
0
both VALUE and quantity reported ZERO
Trade in Roundwood and Sawnwood by species
Telephone:
0
Fax:
0
- checks whether the sum of subitems is bigger than the total
ZERO Q
quantity ZERO when VALUE is reported
E-mail:
0
ZERO V
Value ZERO when quantity is reported
Zero check - if no value please CHECK
NO Q
no quantity reported
Value must always be in 1000 NAC ( national currency)
Flag
Flag
Flag
Flag
Flag
Flag
Flag
Flag
Note
Note
Note
Note
Note
Note
Note
Note
NO V
no value reported
Treshold:
2
Eurozone countries may use the old national currency, but only in both years
1000NAC
REPORT
no figures reported
I M P O R T
E X P O R T
Import
Export
Import
Export
I M P O R T
E X P O R T
Value per
I M P O R T
E X P O R T
Unit price check
Product
Classification
Classification
Unit of
2019
2020
2019
2020
2019
2020
2019
2020
2019
2020
2019
2020
2019
2020
2019
2020
Classification
Classification
unit
2019
2020
2019
2020
IMPORT
EXPORT
Code
HS2017
CN2017
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
HS2007
CN2007
Product
1.2.C
4403.11/21/22/23/24/25/26
Industrial Roundwood, Coniferous
1000 m3ub
163
12790
192
15090
295
13444
280
12764
OK
OK
OK
OK
OK
OK
OK
OK
4403.11/21/22/23/24/25/26
0
NAC/m3
79
79
46
46
ACCEPT
ACCEPT
PRODUCTION
I M P O R T
E X P O R T
4403.23/24
Fir/Spruce (Abies spp., Picea spp.)
1000 m3ub
86
6491
117
8864
68
2395
103
3617
OK
OK
OK
ERROR
OK
OK
OK
OK
4403.23/24
Fir/Spruce (Abies spp., Picea spp.)
NAC/m3
76
76
35
35
ACCEPT
ACCEPT
Product
Classification
Classification
Unit of
2019
2020
2019
2020
2019
2020
4403 23 10
sawlogs and veneer logs
1000 m3ub
55
5771
77
8086
35
1441
43
1761
4403 23 10
sawlogs and veneer logs (Abies alba, Picea abies)
NAC/m3
105
105
41
41
ACCEPT
ACCEPT
Code
HS2007
CN2007
Product
Quantity
Quantity
Quantity
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
4403 23 90
4403 24 00
pulpwood and other industrial roundwood
1000 m3ub
31
720
40
938
33
953
60
1733
4403 23 90
4403 24 00
pulpwood and other industrial roundwood (Abies alba, Picea abies)
NAC/m3
23
23
29
29
ACCEPT
ACCEPT
1
4401.11/12 44.03
Roundwood production
1000 m3
JQ1
3,068
2,966
4403.21/22
Pine (Pinus spp.)
1000 m3ub
59
3227
49
2704
100
4940
65
3226
OK
OK
OK
ERROR
OK
OK
OK
ERROR
4403.21/22
Pine (Pinus spp.)
NAC/m3
55
55
49
49
ACCEPT
ACCEPT
EU2
1283.66
1203.85
4403 21 10
sawlogs and veneer logs
1000 m3ub
23
2154
23
2192
16
1562
13
1269
4403 21 10
sawlogs and veneer logs (Pinus sylvestris)
NAC/m3
94
94
96
96
ACCEPT
ACCEPT
dif
1,784
1,762
4403 21 90
4403 22 00
pulpwood and other industrial roundwood
1000 m3ub
36
1073
26
776
84
3378
52
2101
4403 21 90
4403 22 00
pulpwood and other industrial roundwood (Pinus sylvestris)
NAC/m3
30
30
40
40
ACCEPT
ACCEPT
1.2.C
4403.11/21/22/23/24/25/26
Industrial Roundwood (wood in the rough), Coniferous
1000 m3
JQ2
163
12,790
192
15,090
295
13,444
280
12,764
ECE/EU
163
12,790
192
15,090
295
13,444
280
12,764
Please note the deleted rows, do not use this area.
dif
0
0
0
0
0
0
0
-0
1.2.NC
4403.12/41/49/91/93/94/95/96/97/98/99
Industrial Roundwood (wood in the rough), Non-Coniferous
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
Value must always be in 1000 NAC (national currency)
1000 NAC
I M P O R T
E X P O R T
Product
Classifications
2019
2020
2019
2020
HS2007/HS2002/HS96
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
HS2017:
Industrial Roundwood, Tropical
ex4403.12 4403.41/49
HS2012/2007:
ex4403.10 4403.41/49 ex4403.99
6.NC.T
HS2017:
Sawnwood, Tropical
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
HS2017:
Veneer Sheets, Tropical
4408.31/39
HS2012/2007:
4408.31/39 ex4408.90
8.1.NC.T
HS2017:
Plywood, Tropical
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
2015
2016
2017
2018
2019
2019
2020
15/16
16/17
17/18
18/19
19/19
19/20
2015
2016
2017
2018
NL
P.OB
1000 m3
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3538.636
3418.034
!!
!!
!!
!!
!!
96.59%
NL
P.OB
1000 m3
1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2642.900
2617.600
!!
!!
!!
!!
!!
99.04%
NL
P.OB
1000 m3
1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
481.100
473.900
!!
!!
!!
!!
!!
98.50%
NL
P.OB
1000 m3
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2161.800
2143.700
!!
!!
!!
!!
!!
99.16%
NL
P.OB
1000 m3
1_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
895.736
800.434
!!
!!
!!
!!
!!
89.36%
NL
P.OB
1000 m3
1_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
592.622
547.639
!!
!!
!!
!!
!!
92.41%
NL
P.OB
1000 m3
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
303.114
252.795
!!
!!
!!
!!
!!
83.40%
NL
P.OB
1000 m3
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P.OB
1000 m3
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
298.614
261.620
!!
!!
!!
!!
!!
87.61%
NL
P.OB
1000 m3
1_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
214.925
191.416
!!
!!
!!
!!
!!
89.06%
NL
P.OB
1000 m3
1_2_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
83.689
70.204
!!
!!
!!
!!
!!
83.89%
NL
P.OB
1000 m3
1_2_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
537.370
484.649
!!
!!
!!
!!
!!
90.19%
NL
P.OB
1000 m3
1_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
329.782
313.182
!!
!!
!!
!!
!!
94.97%
NL
P.OB
1000 m3
1_2_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
205.883
171.467
!!
!!
!!
!!
!!
83.28%
NL
P.OB
1000 m3
1_2_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
61.457
54.165
!!
!!
!!
!!
!!
88.13%
NL
P.OB
1000 m3
1_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
47.915
43.041
!!
!!
!!
!!
!!
89.83%
NL
P.OB
1000 m3
1_2_3_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
13.542
11.124
!!
!!
!!
!!
!!
82.14%
NL
P.OB
1000 m3
1_2_3_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#REF!
ERROR:#REF!
!!
!!
!!
!!
!!
!!
TS-JQ1
%
Min:
80%
Max:
120%
Notes
JQ1
Country
Flow
Unit
Product
2015
2016
2017
2018
2019
2019
2020
15/16
16/17
17/18
18/19
19/19
19/20
2015
2016
2017
2018
NL
P
1000 m3
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3067.700
2965.920
!!
!!
!!
!!
!!
96.68%
NL
P
1000 m3
1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2325.700
2303.520
!!
!!
!!
!!
!!
99.05%
NL
P
1000 m3
1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
423.300
417.020
!!
!!
!!
!!
!!
98.52%
NL
P
1000 m3
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1902.400
1886.500
!!
!!
!!
!!
!!
99.16%
NL
P
1000 m3
1_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
742.000
662.400
!!
!!
!!
!!
!!
89.27%
NL
P
1000 m3
1_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
482.000
446.400
!!
!!
!!
!!
!!
92.61%
NL
P
1000 m3
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
260.000
216.000
!!
!!
!!
!!
!!
83.08%
NL
P
1000 m3
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
246.000
214.500
!!
!!
!!
!!
!!
87.20%
NL
P
1000 m3
1_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
174.000
154.400
!!
!!
!!
!!
!!
88.74%
NL
P
1000 m3
1_2_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
72.000
60.100
!!
!!
!!
!!
!!
83.47%
NL
P
1000 m3
1_2_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
444.000
402.000
!!
!!
!!
!!
!!
90.54%
NL
P
1000 m3
1_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
267.000
255.400
!!
!!
!!
!!
!!
95.66%
NL
P
1000 m3
1_2_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
177.000
146.600
!!
!!
!!
!!
!!
82.82%
NL
P
1000 m3
1_2_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
52.000
45.900
!!
!!
!!
!!
!!
88.27%
NL
P
1000 m3
1_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
41.000
36.600
!!
!!
!!
!!
!!
89.27%
NL
P
1000 m3
1_2_3_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
11.000
9.300
!!
!!
!!
!!
!!
84.55%
NL
P
1000 m3
1_2_3_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
939.000
972.000
!!
!!
!!
!!
!!
103.51%
NL
P
1000 m3
3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
82.000
83.000
!!
!!
!!
!!
!!
101.22%
NL
P
1000 m3
3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
857.000
889.000
!!
!!
!!
!!
!!
103.73%
NL
P
1000 m3
3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1560.000
1560.000
!!
!!
!!
!!
!!
100.00%
NL
P
1000 mt
4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
325.000
328.200
!!
!!
!!
!!
!!
100.98%
NL
P
1000 mt
4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
303.000
306.700
!!
!!
!!
!!
!!
101.22%
NL
P
1000 mt
4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
22.000
21.500
!!
!!
!!
!!
!!
97.73%
NL
P
1000 m3
5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
141.000
143.000
!!
!!
!!
!!
!!
101.42%
NL
P
1000 m3
5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
90.000
94.900
!!
!!
!!
!!
!!
105.44%
NL
P
1000 m3
5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
51.000
48.100
!!
!!
!!
!!
!!
94.31%
NL
P
1000 m3
5_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
5.877
6.200
!!
!!
!!
!!
!!
105.50%
NL
P
1000 m3
6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
28.751
29.000
!!
!!
!!
!!
!!
100.87%
NL
P
1000 m3
6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
28.751
29.000
!!
!!
!!
!!
!!
100.87%
NL
P
1000 m3
6_4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 m3
6_4_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
28.751
29.000
!!
!!
!!
!!
!!
100.87%
NL
P
1000 mt
7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
33.821
37.000
!!
!!
!!
!!
!!
109.40%
NL
P
1000 mt
7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
33.821
37.000
!!
!!
!!
!!
!!
109.40%
NL
P
1000 mt
7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
7_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
7_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
7_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
7_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1901.000
1918.000
!!
!!
!!
!!
!!
100.89%
NL
P
1000 mt
7_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
8
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1901.000
1918.000
!!
!!
!!
!!
!!
100.89%
NL
P
1000 mt
8_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2578.000
2601.000
!!
!!
!!
!!
!!
100.89%
NL
P
1000 mt
8_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2895.000
2869.000
!!
!!
!!
!!
!!
99.10%
NL
P
1000 mt
9
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
606.000
526.000
!!
!!
!!
!!
!!
86.80%
NL
P
1000 mt
10
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
10_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
10_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
10_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
10_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
94.000
94.000
!!
!!
!!
!!
!!
100.00%
NL
P
1000 mt
10_1_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2195.000
2249.000
!!
!!
!!
!!
!!
102.46%
NL
P
1000 mt
10_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1316.000
1316.000
!!
!!
!!
!!
!!
100.00%
NL
P
1000 mt
10_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
10_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
10_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
10_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
10_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
NL
P
1000 mt
10_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
TS-JQ2
%
Min:
80%
Max:
120%
Notes
JQ2
Country
Flow
Unit
Product
2015
2016
2017
2018
2019
2019
2020
15/16
16/17
17/18
18/19
19/19
19/20
2015
2016
2017
2018
Q
NL
M
1000 m3
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
340.820
371.938
!!
!!
!!
!!
!!
109.13%
€
NL
M
1000 NAC
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
49286.171
51803.347
!!
!!
!!
!!
!!
105.11%
UV
NL
M
1000 m3
1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
144.611
139.280
!!
!!
!!
!!
!!
96.31%
Q
NL
X
1000 m3
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
838.563
789.294
!!
!!
!!
!!
!!
94.12%
€
NL
X
1000 NAC
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
35204.349
31750.975
!!
!!
!!
!!
!!
90.19%
UV
NL
X
1000 m3
1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
41.982
40.227
!!
!!
!!
!!
!!
95.82%
Q
NL
M
1000 m3
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
57.768
60.668
!!
!!
!!
!!
!!
105.02%
€
NL
M
1000 NAC
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3622.171
4117.315
!!
!!
!!
!!
!!
113.67%
UV
NL
M
1000 m3
1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
62.702
67.866
!!
!!
!!
!!
!!
108.24%
Q
NL
X
1000 m3
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
340.263
341.063
!!
!!
!!
!!
!!
100.24%
€
NL
X
1000 NAC
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
5676.349
5683.487
!!
!!
!!
!!
!!
100.13%
UV
NL
X
1000 m3
1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
16.682
16.664
!!
!!
!!
!!
!!
99.89%
Q
NL
M
1000 m3
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
32.568
28.868
!!
!!
!!
!!
!!
88.64%
€
NL
M
1000 NAC
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
958.171
849.315
!!
!!
!!
!!
!!
88.64%
UV
NL
M
1000 m3
1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
29.421
29.421
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
102.389
102.289
!!
!!
!!
!!
!!
99.90%
€
NL
X
1000 NAC
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3012.349
3009.407
!!
!!
!!
!!
!!
99.90%
UV
NL
X
1000 m3
1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
29.421
29.421
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
25.200
31.800
!!
!!
!!
!!
!!
126.19%
€
NL
M
1000 NAC
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2664.000
3268.000
!!
!!
!!
!!
!!
122.67%
UV
NL
M
1000 m3
1_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
105.714
102.767
!!
!!
!!
!!
!!
97.21%
Q
NL
X
1000 m3
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
237.874
238.774
!!
!!
!!
!!
!!
100.38%
€
NL
X
1000 NAC
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2664.000
2674.079
!!
!!
!!
!!
!!
100.38%
UV
NL
X
1000 m3
1_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
11.199
11.199
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
283.052
311.270
!!
!!
!!
!!
!!
109.97%
€
NL
M
1000 NAC
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
45664.000
47686.032
!!
!!
!!
!!
!!
104.43%
UV
NL
M
1000 m3
1_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
161.327
153.198
!!
!!
!!
!!
!!
94.96%
Q
NL
X
1000 m3
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
498.300
448.231
!!
!!
!!
!!
!!
89.95%
€
NL
X
1000 NAC
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
29528.000
26067.488
!!
!!
!!
!!
!!
88.28%
UV
NL
X
1000 m3
1_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
59.257
58.156
!!
!!
!!
!!
!!
98.14%
Q
NL
M
1000 m3
1_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
162.577
191.814
!!
!!
!!
!!
!!
117.98%
€
NL
M
1000 NAC
1_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
12790.000
15090.087
!!
!!
!!
!!
!!
117.98%
UV
NL
M
1000 m3
1_2_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
78.670
78.670
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
1_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
295.000
280.073
!!
!!
!!
!!
!!
94.94%
€
NL
X
1000 NAC
1_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
13444.000
12763.734
!!
!!
!!
!!
!!
94.94%
UV
NL
X
1000 m3
1_2_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
45.573
45.573
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 mt
2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
120.475
119.456
!!
!!
!!
!!
!!
99.15%
€
NL
M
1000 NAC
2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
32874.000
32595.946
!!
!!
!!
!!
!!
99.15%
UV
NL
M
1000 mt
2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
272.870
272.870
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 mt
2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
203.300
168.158
!!
!!
!!
!!
!!
82.71%
€
NL
X
1000 NAC
2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
16084.000
13303.754
!!
!!
!!
!!
!!
82.71%
UV
NL
X
1000 mt
2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
79.115
79.115
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
19.500
13.600
!!
!!
!!
!!
!!
69.74%
€
NL
M
1000 NAC
3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
13452.000
10381.000
!!
!!
!!
!!
!!
77.17%
UV
NL
M
1000 m3
3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
689.846
763.309
!!
!!
!!
!!
!!
110.65%
Q
NL
X
1000 m3
3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6.200
10.200
!!
!!
!!
!!
!!
164.52%
€
NL
X
1000 NAC
3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4580.000
6834.000
!!
!!
!!
!!
!!
149.21%
UV
NL
X
1000 m3
3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
738.710
670.000
!!
!!
!!
!!
!!
90.70%
Q
NL
M
1000 m3
3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
46.000
47.040
!!
!!
!!
!!
!!
102.26%
€
NL
M
1000 NAC
3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
27448.000
25549.000
!!
!!
!!
!!
!!
93.08%
UV
NL
M
1000 m3
3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
596.696
543.134
!!
!!
!!
!!
!!
91.02%
Q
NL
X
1000 m3
3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
8.200
1.973
!!
!!
!!
!!
!!
24.06%
€
NL
X
1000 NAC
3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
23024.000
3354.000
!!
!!
!!
!!
!!
14.57%
UV
NL
X
1000 m3
3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2807.805
1699.949
!!
!!
!!
!!
!!
60.54%
Q
NL
M
1000 m3
3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
626.200
630.600
!!
!!
!!
!!
!!
100.70%
€
NL
M
1000 NAC
3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
24804.000
60506.000
!!
!!
!!
!!
!!
243.94%
UV
NL
M
1000 m3
3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
39.610
95.950
!!
!!
!!
!!
!!
242.23%
Q
NL
X
1000 m3
3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
712.700
645.548
!!
!!
!!
!!
!!
90.58%
€
NL
X
1000 NAC
3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
35993.000
33862.000
!!
!!
!!
!!
!!
94.08%
UV
NL
X
1000 m3
3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
50.502
52.455
!!
!!
!!
!!
!!
103.87%
Q
NL
M
1000 mt
4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
331.900
190.900
!!
!!
!!
!!
!!
57.52%
€
NL
M
1000 NAC
4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
13847.000
48096.000
!!
!!
!!
!!
!!
347.34%
UV
NL
M
1000 mt
4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
41.720
251.943
!!
!!
!!
!!
!!
603.89%
Q
NL
X
1000 mt
4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
522.000
457.648
!!
!!
!!
!!
!!
87.67%
€
NL
X
1000 NAC
4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
9669.000
8477.000
!!
!!
!!
!!
!!
87.67%
UV
NL
X
1000 mt
4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
18.523
18.523
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 mt
4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
294.300
439.700
!!
!!
!!
!!
!!
149.41%
€
NL
M
1000 NAC
4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
10957.000
12410.000
!!
!!
!!
!!
!!
113.26%
UV
NL
M
1000 mt
4_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
37.231
28.224
!!
!!
!!
!!
!!
75.81%
Q
NL
X
1000 mt
4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
190.700
187.900
!!
!!
!!
!!
!!
98.53%
€
NL
X
1000 NAC
4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
26324.000
25385.000
!!
!!
!!
!!
!!
96.43%
UV
NL
X
1000 mt
4_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
138.039
135.098
!!
!!
!!
!!
!!
97.87%
Q
NL
M
1000 mt
4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
517.000
517.000
!!
!!
!!
!!
!!
100.00%
€
NL
M
1000 NAC
4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 mt
4_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 mt
4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
225.000
225.000
!!
!!
!!
!!
!!
100.00%
€
NL
X
1000 NAC
4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 mt
4_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1068.500
2313.100
!!
!!
!!
!!
!!
216.48%
€
NL
M
1000 NAC
5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
163805.000
365260.000
!!
!!
!!
!!
!!
222.98%
UV
NL
M
1000 m3
5
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
153.304
157.909
!!
!!
!!
!!
!!
103.00%
Q
NL
X
1000 m3
5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
226.100
241.800
!!
!!
!!
!!
!!
106.94%
€
NL
X
1000 NAC
5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
64227.000
60856.000
!!
!!
!!
!!
!!
94.75%
UV
NL
X
1000 m3
5
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
284.065
251.679
!!
!!
!!
!!
!!
88.60%
Q
NL
M
1000 m3
5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1050.100
2296.700
!!
!!
!!
!!
!!
218.71%
€
NL
M
1000 NAC
5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
158615.000
361574.000
!!
!!
!!
!!
!!
227.96%
UV
NL
M
1000 m3
5_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
151.048
157.432
!!
!!
!!
!!
!!
104.23%
Q
NL
X
1000 m3
5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
199.100
155.200
!!
!!
!!
!!
!!
77.95%
€
NL
X
1000 NAC
5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
51323.000
42014.000
!!
!!
!!
!!
!!
81.86%
UV
NL
X
1000 m3
5_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
257.775
270.709
!!
!!
!!
!!
!!
105.02%
Q
NL
M
1000 m3
5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
18.400
16.400
!!
!!
!!
!!
!!
89.13%
€
NL
M
1000 NAC
5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
5190.000
3686.000
!!
!!
!!
!!
!!
71.02%
UV
NL
M
1000 m3
5_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
282.065
224.756
!!
!!
!!
!!
!!
79.68%
Q
NL
X
1000 m3
5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
27.000
86.600
!!
!!
!!
!!
!!
320.74%
€
NL
X
1000 NAC
5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
12904.000
18842.000
!!
!!
!!
!!
!!
146.02%
UV
NL
X
1000 m3
5_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
477.926
217.575
!!
!!
!!
!!
!!
45.52%
Q
NL
M
1000 m3
5_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3355.000
3480.700
!!
!!
!!
!!
!!
103.75%
€
NL
M
1000 NAC
5_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
848449.000
852563.000
!!
!!
!!
!!
!!
100.48%
UV
NL
M
1000 m3
5_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
252.891
244.940
!!
!!
!!
!!
!!
96.86%
Q
NL
X
1000 m3
5_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
767.400
679.700
!!
!!
!!
!!
!!
88.57%
€
NL
X
1000 NAC
5_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
208414.000
213529.000
!!
!!
!!
!!
!!
102.45%
UV
NL
X
1000 m3
5_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
271.585
314.152
!!
!!
!!
!!
!!
115.67%
Q
NL
M
1000 m3
6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2988.900
3132.000
!!
!!
!!
!!
!!
104.79%
€
NL
M
1000 NAC
6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
622140.000
638707.000
!!
!!
!!
!!
!!
102.66%
UV
NL
M
1000 m3
6
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
208.150
203.929
!!
!!
!!
!!
!!
97.97%
Q
NL
X
1000 m3
6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
690.800
596.400
!!
!!
!!
!!
!!
86.33%
€
NL
X
1000 NAC
6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
141812.000
143320.000
!!
!!
!!
!!
!!
101.06%
UV
NL
X
1000 m3
6
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
205.287
240.309
!!
!!
!!
!!
!!
117.06%
Q
NL
M
1000 m3
6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
366.100
348.700
!!
!!
!!
!!
!!
95.25%
€
NL
M
1000 NAC
6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
226309.000
213856.000
!!
!!
!!
!!
!!
94.50%
UV
NL
M
1000 m3
6_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
618.162
613.295
!!
!!
!!
!!
!!
99.21%
Q
NL
X
1000 m3
6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
76.600
83.300
!!
!!
!!
!!
!!
108.75%
€
NL
X
1000 NAC
6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
66602.000
70209.000
!!
!!
!!
!!
!!
105.42%
UV
NL
X
1000 m3
6_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
869.478
842.845
!!
!!
!!
!!
!!
96.94%
Q
NL
M
1000 m3
6_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
180.900
164.200
!!
!!
!!
!!
!!
90.77%
€
NL
M
1000 NAC
6_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
148366.000
131846.000
!!
!!
!!
!!
!!
88.87%
UV
NL
M
1000 m3
6_1_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
820.155
802.960
!!
!!
!!
!!
!!
97.90%
Q
NL
X
1000 m3
6_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
29.000
29.000
!!
!!
!!
!!
!!
100.00%
€
NL
X
1000 NAC
6_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
29914.000
30346.000
!!
!!
!!
!!
!!
101.44%
UV
NL
X
1000 m3
6_1_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1031.517
1046.414
!!
!!
!!
!!
!!
101.44%
Q
NL
M
1000 m3
6_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
34.300
29.800
!!
!!
!!
!!
!!
86.88%
€
NL
M
1000 NAC
6_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
27256.000
35479.000
!!
!!
!!
!!
!!
130.17%
UV
NL
M
1000 m3
6_1_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
794.636
1190.570
!!
!!
!!
!!
!!
149.83%
Q
NL
X
1000 m3
6_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
11.700
12.300
!!
!!
!!
!!
!!
105.13%
€
NL
X
1000 NAC
6_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
10249.000
6642.000
!!
!!
!!
!!
!!
64.81%
UV
NL
X
1000 m3
6_1_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
875.983
540.000
!!
!!
!!
!!
!!
61.65%
Q
NL
M
1000 m3
6_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
17.600
9.700
!!
!!
!!
!!
!!
55.11%
€
NL
M
1000 NAC
6_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6299.000
7809.000
!!
!!
!!
!!
!!
123.97%
UV
NL
M
1000 m3
6_1_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
357.898
805.052
!!
!!
!!
!!
!!
224.94%
Q
NL
X
1000 m3
6_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.500
0.900
!!
!!
!!
!!
!!
180.00%
€
NL
X
1000 NAC
6_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
416.000
621.000
!!
!!
!!
!!
!!
149.28%
UV
NL
X
1000 m3
6_1_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
832.000
690.000
!!
!!
!!
!!
!!
82.93%
Q
NL
M
1000 m3
6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
16.700
20.100
!!
!!
!!
!!
!!
120.36%
€
NL
M
1000 NAC
6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
20957.000
27670.000
!!
!!
!!
!!
!!
132.03%
UV
NL
M
1000 m3
6_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1254.910
1376.617
!!
!!
!!
!!
!!
109.70%
Q
NL
X
1000 m3
6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
11.200
11.400
!!
!!
!!
!!
!!
101.79%
€
NL
X
1000 NAC
6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
9833.000
6021.000
!!
!!
!!
!!
!!
61.23%
UV
NL
X
1000 m3
6_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
877.946
528.158
!!
!!
!!
!!
!!
60.16%
Q
NL
M
1000 m3
6_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6.000
13.200
!!
!!
!!
!!
!!
220.00%
€
NL
M
1000 NAC
6_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4145.000
8204.000
!!
!!
!!
!!
!!
197.93%
UV
NL
M
1000 m3
6_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
690.833
621.515
!!
!!
!!
!!
!!
89.97%
Q
NL
X
1000 m3
6_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.200
0.200
!!
!!
!!
!!
!!
100.00%
€
NL
X
1000 NAC
6_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
197.000
682.000
!!
!!
!!
!!
!!
346.19%
UV
NL
X
1000 m3
6_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
985.000
3410.000
!!
!!
!!
!!
!!
346.19%
Q
NL
M
1000 m3
6_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1757.000
1801.900
!!
!!
!!
!!
!!
102.56%
€
NL
M
1000 NAC
6_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
697020.000
690797.000
!!
!!
!!
!!
!!
99.11%
UV
NL
M
1000 m3
6_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
396.710
383.371
!!
!!
!!
!!
!!
96.64%
Q
NL
X
1000 m3
6_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
356.900
279.800
!!
!!
!!
!!
!!
78.40%
€
NL
X
1000 NAC
6_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
166987.000
149479.000
!!
!!
!!
!!
!!
89.52%
UV
NL
X
1000 m3
6_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
467.882
534.235
!!
!!
!!
!!
!!
114.18%
Q
NL
M
1000 m3
6_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
604.700
634.500
!!
!!
!!
!!
!!
104.93%
€
NL
M
1000 NAC
6_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
312437.000
319434.000
!!
!!
!!
!!
!!
102.24%
UV
NL
M
1000 m3
6_2_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
516.681
503.442
!!
!!
!!
!!
!!
97.44%
Q
NL
X
1000 m3
6_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
83.800
89.000
!!
!!
!!
!!
!!
106.21%
€
NL
X
1000 NAC
6_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
64910.000
65613.000
!!
!!
!!
!!
!!
101.08%
UV
NL
X
1000 m3
6_2_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
774.582
737.225
!!
!!
!!
!!
!!
95.18%
Q
NL
M
1000 m3
6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
298.300
303.000
!!
!!
!!
!!
!!
101.58%
€
NL
M
1000 NAC
6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
113296.000
114234.000
!!
!!
!!
!!
!!
100.83%
UV
NL
M
1000 m3
6_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
379.806
377.010
!!
!!
!!
!!
!!
99.26%
Q
NL
X
1000 m3
6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
14.100
17.800
!!
!!
!!
!!
!!
126.24%
€
NL
X
1000 NAC
6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
8515.000
10124.000
!!
!!
!!
!!
!!
118.90%
UV
NL
X
1000 m3
6_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
603.901
568.764
!!
!!
!!
!!
!!
94.18%
Q
NL
M
1000 m3
6_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
306.400
331.500
!!
!!
!!
!!
!!
108.19%
€
NL
M
1000 NAC
6_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
199141.000
205200.000
!!
!!
!!
!!
!!
103.04%
UV
NL
M
1000 m3
6_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
649.938
619.005
!!
!!
!!
!!
!!
95.24%
Q
NL
X
1000 m3
6_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
69.700
71.200
!!
!!
!!
!!
!!
102.15%
€
NL
X
1000 NAC
6_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
56395.000
55489.000
!!
!!
!!
!!
!!
98.39%
UV
NL
X
1000 m3
6_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
809.110
779.340
!!
!!
!!
!!
!!
96.32%
Q
NL
M
1000 m3
6_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
95.900
108.900
!!
!!
!!
!!
!!
113.56%
€
NL
M
1000 NAC
6_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
79878.000
86061.000
!!
!!
!!
!!
!!
107.74%
UV
NL
M
1000 m3
6_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
832.930
790.275
!!
!!
!!
!!
!!
94.88%
Q
NL
X
1000 m3
6_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
36.200
39.500
!!
!!
!!
!!
!!
109.12%
€
NL
X
1000 NAC
6_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
30314.000
30254.000
!!
!!
!!
!!
!!
99.80%
UV
NL
X
1000 m3
6_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
837.403
765.924
!!
!!
!!
!!
!!
91.46%
Q
NL
M
1000 m3
6_4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
603.200
627.200
!!
!!
!!
!!
!!
103.98%
€
NL
M
1000 NAC
6_4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
158794.000
151419.000
!!
!!
!!
!!
!!
95.36%
UV
NL
M
1000 m3
6_4_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
263.253
241.421
!!
!!
!!
!!
!!
91.71%
Q
NL
X
1000 m3
6_4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
113.700
84.600
!!
!!
!!
!!
!!
74.41%
€
NL
X
1000 NAC
6_4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
29630.000
24804.000
!!
!!
!!
!!
!!
83.71%
UV
NL
X
1000 m3
6_4_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
260.598
293.191
!!
!!
!!
!!
!!
112.51%
Q
NL
M
1000 m3
6_4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
143.600
171.000
!!
!!
!!
!!
!!
119.08%
€
NL
M
1000 NAC
6_4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
33744.000
35682.000
!!
!!
!!
!!
!!
105.74%
UV
NL
M
1000 m3
6_4_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
234.986
208.667
!!
!!
!!
!!
!!
88.80%
Q
NL
X
1000 m3
6_4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
11.800
3.500
!!
!!
!!
!!
!!
29.66%
€
NL
X
1000 NAC
6_4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3143.000
931.000
!!
!!
!!
!!
!!
29.62%
UV
NL
X
1000 m3
6_4_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
266.356
266.000
!!
!!
!!
!!
!!
99.87%
Q
NL
M
1000 m3
6_4_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
549.100
540.200
!!
!!
!!
!!
!!
98.38%
€
NL
M
1000 NAC
6_4_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
225789.000
219944.000
!!
!!
!!
!!
!!
97.41%
UV
NL
M
1000 m3
6_4_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
411.198
407.153
!!
!!
!!
!!
!!
99.02%
Q
NL
X
1000 m3
6_4_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
159.400
106.200
!!
!!
!!
!!
!!
66.62%
€
NL
X
1000 NAC
6_4_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
72447.000
59062.000
!!
!!
!!
!!
!!
81.52%
UV
NL
X
1000 m3
6_4_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
454.498
556.139
!!
!!
!!
!!
!!
122.36%
Q
NL
M
1000 mt
7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
64.500
63.700
!!
!!
!!
!!
!!
98.76%
€
NL
M
1000 NAC
7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
42411.000
38769.000
!!
!!
!!
!!
!!
91.41%
UV
NL
M
1000 mt
7
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
657.535
608.619
!!
!!
!!
!!
!!
92.56%
Q
NL
X
1000 mt
7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
10.300
20.600
!!
!!
!!
!!
!!
200.00%
€
NL
X
1000 NAC
7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
11649.000
11803.000
!!
!!
!!
!!
!!
101.32%
UV
NL
X
1000 mt
7
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1130.971
572.961
!!
!!
!!
!!
!!
50.66%
Q
NL
M
1000 mt
7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
412.400
398.500
!!
!!
!!
!!
!!
96.63%
€
NL
M
1000 NAC
7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
164800.000
160799.000
!!
!!
!!
!!
!!
97.57%
UV
NL
M
1000 mt
7_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
399.612
403.511
!!
!!
!!
!!
!!
100.98%
Q
NL
X
1000 mt
7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
142.900
80.700
!!
!!
!!
!!
!!
56.47%
€
NL
X
1000 NAC
7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
56951.000
43173.000
!!
!!
!!
!!
!!
75.81%
UV
NL
X
1000 mt
7_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
398.537
534.981
!!
!!
!!
!!
!!
134.24%
Q
NL
M
1000 mt
7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
72.200
78.000
!!
!!
!!
!!
!!
108.03%
€
NL
M
1000 NAC
7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
18578.000
20376.000
!!
!!
!!
!!
!!
109.68%
UV
NL
M
1000 mt
7_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
257.313
261.231
!!
!!
!!
!!
!!
101.52%
Q
NL
X
1000 mt
7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6.200
4.900
!!
!!
!!
!!
!!
79.03%
€
NL
X
1000 NAC
7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3847.000
4086.000
!!
!!
!!
!!
!!
106.21%
UV
NL
X
1000 mt
7_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
620.484
833.878
!!
!!
!!
!!
!!
134.39%
Q
NL
M
1000 mt
7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1486.250
1804.771
!!
!!
!!
!!
!!
121.43%
€
NL
M
1000 NAC
7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
863611.000
802858.000
!!
!!
!!
!!
!!
92.97%
UV
NL
M
1000 mt
7_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
581.067
444.853
!!
!!
!!
!!
!!
76.56%
Q
NL
X
1000 mt
7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
803.700
682.161
!!
!!
!!
!!
!!
84.88%
€
NL
X
1000 NAC
7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
456266.000
350772.000
!!
!!
!!
!!
!!
76.88%
UV
NL
X
1000 mt
7_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
567.707
514.207
!!
!!
!!
!!
!!
90.58%
Q
NL
M
1000 mt
7_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
177.400
202.800
!!
!!
!!
!!
!!
114.32%
€
NL
M
1000 NAC
7_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
79792.000
76844.000
!!
!!
!!
!!
!!
96.31%
UV
NL
M
1000 mt
7_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
449.786
378.915
!!
!!
!!
!!
!!
84.24%
Q
NL
X
1000 mt
7_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
77.700
4.100
!!
!!
!!
!!
!!
5.28%
€
NL
X
1000 NAC
7_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
38294.000
1741.000
!!
!!
!!
!!
!!
4.55%
UV
NL
X
1000 mt
7_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
492.844
424.634
!!
!!
!!
!!
!!
86.16%
Q
NL
M
1000 mt
7_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1288.900
1579.100
!!
!!
!!
!!
!!
122.52%
€
NL
M
1000 NAC
7_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
759341.000
697406.000
!!
!!
!!
!!
!!
91.84%
UV
NL
M
1000 mt
7_3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
589.139
441.648
!!
!!
!!
!!
!!
74.96%
Q
NL
X
1000 mt
7_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
725.700
677.700
!!
!!
!!
!!
!!
93.39%
€
NL
X
1000 NAC
7_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
417794.000
348760.000
!!
!!
!!
!!
!!
83.48%
UV
NL
X
1000 mt
7_3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
575.712
514.623
!!
!!
!!
!!
!!
89.39%
Q
NL
M
1000 mt
7_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1286.500
1572.400
!!
!!
!!
!!
!!
122.22%
€
NL
M
1000 NAC
7_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
755373.000
689035.000
!!
!!
!!
!!
!!
91.22%
UV
NL
M
1000 mt
7_3_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
587.154
438.206
!!
!!
!!
!!
!!
74.63%
Q
NL
X
1000 mt
7_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
725.200
675.300
!!
!!
!!
!!
!!
93.12%
€
NL
X
1000 NAC
7_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
416821.000
344734.000
!!
!!
!!
!!
!!
82.71%
UV
NL
X
1000 mt
7_3_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
574.767
510.490
!!
!!
!!
!!
!!
88.82%
Q
NL
M
1000 mt
7_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1285.200
1571.300
!!
!!
!!
!!
!!
122.26%
€
NL
M
1000 NAC
7_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
754470.000
688358.000
!!
!!
!!
!!
!!
91.24%
UV
NL
M
1000 mt
7_3_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
587.045
438.082
!!
!!
!!
!!
!!
74.62%
Q
NL
X
1000 mt
7_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
725.100
674.800
!!
!!
!!
!!
!!
93.06%
€
NL
X
1000 NAC
7_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
416768.000
344494.000
!!
!!
!!
!!
!!
82.66%
UV
NL
X
1000 mt
7_3_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
574.773
510.513
!!
!!
!!
!!
!!
88.82%
Q
NL
M
1000 mt
7_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2.400
6.700
!!
!!
!!
!!
!!
279.17%
€
NL
M
1000 NAC
7_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3968.000
8371.000
!!
!!
!!
!!
!!
210.96%
UV
NL
M
1000 mt
7_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1653.333
1249.403
!!
!!
!!
!!
!!
75.57%
Q
NL
X
1000 mt
7_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.500
2.400
!!
!!
!!
!!
!!
480.00%
€
NL
X
1000 NAC
7_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
973.000
4026.000
!!
!!
!!
!!
!!
413.77%
UV
NL
X
1000 mt
7_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1946.000
1677.500
!!
!!
!!
!!
!!
86.20%
Q
NL
M
1000 mt
8
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
19.950
22.871
!!
!!
!!
!!
!!
114.64%
€
NL
M
1000 NAC
8
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
24478.000
28608.000
!!
!!
!!
!!
!!
116.87%
UV
NL
M
1000 mt
8
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1226.967
1250.842
!!
!!
!!
!!
!!
101.95%
Q
NL
X
1000 mt
8
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.300
0.361
!!
!!
!!
!!
!!
120.33%
€
NL
X
1000 NAC
8
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
178.000
271.000
!!
!!
!!
!!
!!
152.25%
UV
NL
X
1000 mt
8
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
593.333
750.693
!!
!!
!!
!!
!!
126.52%
Q
NL
M
1000 mt
8_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
29.600
29.900
!!
!!
!!
!!
!!
101.01%
€
NL
M
1000 NAC
8_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
60740.000
59957.000
!!
!!
!!
!!
!!
98.71%
UV
NL
M
1000 mt
8_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2052.027
2005.251
!!
!!
!!
!!
!!
97.72%
Q
NL
X
1000 mt
8_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
5.000
20.500
!!
!!
!!
!!
!!
410.00%
€
NL
X
1000 NAC
8_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
8966.000
31221.000
!!
!!
!!
!!
!!
348.22%
UV
NL
X
1000 mt
8_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1793.200
1522.976
!!
!!
!!
!!
!!
84.93%
Q
NL
M
1000 mt
8_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
25.100
25.300
!!
!!
!!
!!
!!
100.80%
€
NL
M
1000 NAC
8_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
58589.000
57784.000
!!
!!
!!
!!
!!
98.63%
UV
NL
M
1000 mt
8_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2334.223
2283.953
!!
!!
!!
!!
!!
97.85%
Q
NL
X
1000 mt
8_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4.200
14.700
!!
!!
!!
!!
!!
350.00%
€
NL
X
1000 NAC
8_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
8491.000
29720.000
!!
!!
!!
!!
!!
350.02%
UV
NL
X
1000 mt
8_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2021.667
2021.769
!!
!!
!!
!!
!!
100.01%
Q
NL
M
1000 mt
9
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4.500
4.600
!!
!!
!!
!!
!!
102.22%
€
NL
M
1000 NAC
9
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2151.000
2173.000
!!
!!
!!
!!
!!
101.02%
UV
NL
M
1000 mt
9
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
478.000
472.391
!!
!!
!!
!!
!!
98.83%
Q
NL
X
1000 mt
9
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.800
5.800
!!
!!
!!
!!
!!
725.00%
€
NL
X
1000 NAC
9
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
475.000
1501.000
!!
!!
!!
!!
!!
316.00%
UV
NL
X
1000 mt
9
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
593.750
258.793
!!
!!
!!
!!
!!
43.59%
Q
NL
M
1000 mt
10
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1676.000
2304.000
!!
!!
!!
!!
!!
137.47%
€
NL
M
1000 NAC
10
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
197677.000
202546.000
!!
!!
!!
!!
!!
102.46%
UV
NL
M
1000 mt
10
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
117.946
87.911
!!
!!
!!
!!
!!
74.53%
Q
NL
X
1000 mt
10
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2367.700
2240.000
!!
!!
!!
!!
!!
94.61%
€
NL
X
1000 NAC
10
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
319840.000
278564.000
!!
!!
!!
!!
!!
87.09%
UV
NL
X
1000 mt
10
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
135.085
124.359
!!
!!
!!
!!
!!
92.06%
Q
NL
M
1000 mt
10_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2331.500
2278.300
!!
!!
!!
!!
!!
97.72%
€
NL
M
1000 NAC
10_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1846319.000
1719077.000
!!
!!
!!
!!
!!
93.11%
UV
NL
M
1000 mt
10_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
791.902
754.544
!!
!!
!!
!!
!!
95.28%
Q
NL
X
1000 mt
10_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2555.600
2538.700
!!
!!
!!
!!
!!
99.34%
€
NL
X
1000 NAC
10_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1960702.000
1831473.000
!!
!!
!!
!!
!!
93.41%
UV
NL
X
1000 mt
10_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
767.218
721.422
!!
!!
!!
!!
!!
94.03%
Q
NL
M
1000 mt
10_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
708.100
682.600
!!
!!
!!
!!
!!
96.40%
€
NL
M
1000 NAC
10_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
597187.000
547541.000
!!
!!
!!
!!
!!
91.69%
UV
NL
M
1000 mt
10_1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
843.365
802.140
!!
!!
!!
!!
!!
95.11%
Q
NL
X
1000 mt
10_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
854.500
772.700
!!
!!
!!
!!
!!
90.43%
€
NL
X
1000 NAC
10_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
717715.000
649428.000
!!
!!
!!
!!
!!
90.49%
UV
NL
X
1000 mt
10_1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
839.924
840.466
!!
!!
!!
!!
!!
100.06%
Q
NL
M
1000 mt
10_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
270.500
228.800
!!
!!
!!
!!
!!
84.58%
€
NL
M
1000 NAC
10_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
134552.000
94993.000
!!
!!
!!
!!
!!
70.60%
UV
NL
M
1000 mt
10_1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
497.420
415.179
!!
!!
!!
!!
!!
83.47%
Q
NL
X
1000 mt
10_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
24.600
20.700
!!
!!
!!
!!
!!
84.15%
€
NL
X
1000 NAC
10_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
11830.000
8668.000
!!
!!
!!
!!
!!
73.27%
UV
NL
X
1000 mt
10_1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
480.894
418.744
!!
!!
!!
!!
!!
87.08%
Q
NL
M
1000 mt
10_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
35.100
32.600
!!
!!
!!
!!
!!
92.88%
€
NL
M
1000 NAC
10_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
30333.000
25464.000
!!
!!
!!
!!
!!
83.95%
UV
NL
M
1000 mt
10_1_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
864.188
781.104
!!
!!
!!
!!
!!
90.39%
Q
NL
X
1000 mt
10_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
228.700
180.800
!!
!!
!!
!!
!!
79.06%
€
NL
X
1000 NAC
10_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
119240.000
82479.000
!!
!!
!!
!!
!!
69.17%
UV
NL
X
1000 mt
10_1_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
521.382
456.189
!!
!!
!!
!!
!!
87.50%
Q
NL
M
1000 mt
10_1_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
215.800
205.600
!!
!!
!!
!!
!!
95.27%
€
NL
M
1000 NAC
10_1_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
230008.000
214213.000
!!
!!
!!
!!
!!
93.13%
UV
NL
M
1000 mt
10_1_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1065.839
1041.892
!!
!!
!!
!!
!!
97.75%
Q
NL
X
1000 mt
10_1_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
234.800
240.900
!!
!!
!!
!!
!!
102.60%
€
NL
X
1000 NAC
10_1_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
217891.000
242989.000
!!
!!
!!
!!
!!
111.52%
UV
NL
X
1000 mt
10_1_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
927.986
1008.672
!!
!!
!!
!!
!!
108.69%
Q
NL
M
1000 mt
10_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
186.700
215.600
!!
!!
!!
!!
!!
115.48%
€
NL
M
1000 NAC
10_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
202294.000
212871.000
!!
!!
!!
!!
!!
105.23%
UV
NL
M
1000 mt
10_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1083.524
987.342
!!
!!
!!
!!
!!
91.12%
Q
NL
X
1000 mt
10_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
366.400
330.300
!!
!!
!!
!!
!!
90.15%
€
NL
X
1000 NAC
10_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
368754.000
315292.000
!!
!!
!!
!!
!!
85.50%
UV
NL
X
1000 mt
10_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1006.425
954.563
!!
!!
!!
!!
!!
94.85%
Q
NL
M
1000 mt
10_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
48.000
34.100
!!
!!
!!
!!
!!
71.04%
€
NL
M
1000 NAC
10_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
70185.000
48333.000
!!
!!
!!
!!
!!
68.87%
UV
NL
M
1000 mt
10_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1462.188
1417.390
!!
!!
!!
!!
!!
96.94%
Q
NL
X
1000 mt
10_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
14.800
18.400
!!
!!
!!
!!
!!
124.32%
€
NL
X
1000 NAC
10_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
30792.000
34559.000
!!
!!
!!
!!
!!
112.23%
UV
NL
X
1000 mt
10_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2080.541
1878.207
!!
!!
!!
!!
!!
90.27%
Q
NL
M
1000 mt
10_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1560.700
1533.400
!!
!!
!!
!!
!!
98.25%
€
NL
M
1000 NAC
10_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1089345.000
1025771.000
!!
!!
!!
!!
!!
94.16%
UV
NL
M
1000 mt
10_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
697.985
668.952
!!
!!
!!
!!
!!
95.84%
Q
NL
X
1000 mt
10_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1682.600
1740.700
!!
!!
!!
!!
!!
103.45%
€
NL
X
1000 NAC
10_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1119291.000
1057292.000
!!
!!
!!
!!
!!
94.46%
UV
NL
X
1000 mt
10_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
665.215
607.395
!!
!!
!!
!!
!!
91.31%
Q
NL
M
1000 mt
10_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
787.600
806.600
!!
!!
!!
!!
!!
102.41%
€
NL
M
1000 NAC
10_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
380543.000
355618.000
!!
!!
!!
!!
!!
93.45%
UV
NL
M
1000 mt
10_3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
483.168
440.885
!!
!!
!!
!!
!!
91.25%
Q
NL
X
1000 mt
10_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1242.600
1267.900
!!
!!
!!
!!
!!
102.04%
€
NL
X
1000 NAC
10_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
523567.000
464527.000
!!
!!
!!
!!
!!
88.72%
UV
NL
X
1000 mt
10_3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
421.348
366.375
!!
!!
!!
!!
!!
86.95%
Q
NL
M
1000 mt
10_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
412.600
393.400
!!
!!
!!
!!
!!
95.35%
€
NL
M
1000 NAC
10_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
392878.000
386977.000
!!
!!
!!
!!
!!
98.50%
UV
NL
M
1000 mt
10_3_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
952.201
983.673
!!
!!
!!
!!
!!
103.31%
Q
NL
X
1000 mt
10_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
292.700
289.400
!!
!!
!!
!!
!!
98.87%
€
NL
X
1000 NAC
10_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
414347.000
385966.000
!!
!!
!!
!!
!!
93.15%
UV
NL
X
1000 mt
10_3_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1415.603
1333.677
!!
!!
!!
!!
!!
94.21%
Q
NL
M
1000 mt
10_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
236.600
215.600
!!
!!
!!
!!
!!
91.12%
€
NL
M
1000 NAC
10_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
230374.000
196459.000
!!
!!
!!
!!
!!
85.28%
UV
NL
M
1000 mt
10_3_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
973.686
911.220
!!
!!
!!
!!
!!
93.58%
Q
NL
X
1000 mt
10_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
118.700
129.800
!!
!!
!!
!!
!!
109.35%
€
NL
X
1000 NAC
10_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
168707.000
179337.000
!!
!!
!!
!!
!!
106.30%
UV
NL
X
1000 mt
10_3_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1421.289
1381.641
!!
!!
!!
!!
!!
97.21%
Q
NL
M
1000 mt
10_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
123.900
117.800
!!
!!
!!
!!
!!
95.08%
€
NL
M
1000 NAC
10_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
85550.000
86717.000
!!
!!
!!
!!
!!
101.36%
UV
NL
M
1000 mt
10_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
690.476
736.138
!!
!!
!!
!!
!!
106.61%
Q
NL
X
1000 mt
10_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
28.600
53.600
!!
!!
!!
!!
!!
187.41%
€
NL
X
1000 NAC
10_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
12670.000
27462.000
!!
!!
!!
!!
!!
216.75%
UV
NL
X
1000 mt
10_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
443.007
512.351
!!
!!
!!
!!
!!
115.65%
TS-JQ3
%
Min:
80%
Max:
120%
Notes
JQ3
Country
Flow
Unit
Product
2015
2016
2017
2018
2019
2019
2020
15/16
16/17
17/18
18/19
19/19
19/20
2015
2016
2017
2018
NL
M
1000 NAC
11_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
11_7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
M
1000 NAC
12_7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
11_7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
12_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
12_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
12_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
12_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
12_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
12_6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
12_6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
12_6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
NL
X
1000 NAC
12_6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
!!
!!
!!
!!
!!
!!
TS-ECEEU
%
Min:
80%
Max:
120%
Notes
ECEEU
Country
Flow
Unit
Product
2015
2016
2017
2018
2019
2019
2020
15/16
16/17
17/18
18/19
19/19
19/20
2015
2016
2017
2018
Q
NL
M
1000 m3
ST_1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
162.577
191.814
!!
!!
!!
!!
!!
117.98%
€
NL
M
1000 NAC
ST_1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
12790.000
15090.000
!!
!!
!!
!!
!!
117.98%
UV
NL
M
1000 m3
ST_1_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
78.670
78.670
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
ST_1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
295.000
280.073
!!
!!
!!
!!
!!
94.94%
€
NL
X
1000 NAC
ST_1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
13444.000
12764.000
!!
!!
!!
!!
!!
94.94%
UV
NL
X
1000 m3
ST_1_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
45.573
45.574
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
ST_1_2_C_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
85.790
117.155
!!
!!
!!
!!
!!
136.56%
€
NL
M
1000 NAC
ST_1_2_C_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6491.055
8864.206
!!
!!
!!
!!
!!
136.56%
UV
NL
M
1000 m3
ST_1_2_C_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
75.662
75.662
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
ST_1_2_C_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
68.239
103.051
!!
!!
!!
!!
!!
151.02%
€
NL
X
1000 NAC
ST_1_2_C_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2394.912
3616.680
!!
!!
!!
!!
!!
151.02%
UV
NL
X
1000 m3
ST_1_2_C_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
35.096
35.096
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
ST_1_2_C_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
54.764
76.731
!!
!!
!!
!!
!!
140.11%
€
NL
M
1000 NAC
ST_1_2_C_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
5771.227
8086.198
!!
!!
!!
!!
!!
140.11%
UV
NL
M
1000 m3
ST_1_2_C_1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
105.383
105.383
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
ST_1_2_C_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
35.228
43.043
!!
!!
!!
!!
!!
122.18%
€
NL
X
1000 NAC
ST_1_2_C_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1441.430
1761.211
!!
!!
!!
!!
!!
122.18%
UV
NL
X
1000 m3
ST_1_2_C_1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
40.917
40.917
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
ST_1_2_C_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
22.936
23.336
!!
!!
!!
!!
!!
101.74%
€
NL
M
1000 NAC
ST_1_2_C_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2154.287
2191.858
!!
!!
!!
!!
!!
101.74%
UV
NL
M
1000 m3
ST_1_2_C_1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
93.927
93.927
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
ST_1_2_C_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
16.351
13.281
!!
!!
!!
!!
!!
81.22%
€
NL
X
1000 NAC
ST_1_2_C_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1561.926
1268.633
!!
!!
!!
!!
!!
81.22%
UV
NL
X
1000 m3
ST_1_2_C_1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
95.523
95.523
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
ST_1_2_C_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_C_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_C_1_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_C_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_C_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_C_1_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_C_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
58.881
49.349
!!
!!
!!
!!
!!
83.81%
€
NL
M
1000 NAC
ST_1_2_C_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3226.852
2704.498
!!
!!
!!
!!
!!
83.81%
UV
NL
M
1000 m3
ST_1_2_C_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
54.803
54.803
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
ST_1_2_C_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
99.954
65.277
!!
!!
!!
!!
!!
65.31%
€
NL
X
1000 NAC
ST_1_2_C_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4939.903
3226.111
!!
!!
!!
!!
!!
65.31%
UV
NL
X
1000 m3
ST_1_2_C_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
49.422
49.422
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
ST_1_2_C_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
31.026
40.424
!!
!!
!!
!!
!!
130.29%
€
NL
M
1000 NAC
ST_1_2_C_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
719.828
937.869
!!
!!
!!
!!
!!
130.29%
UV
NL
M
1000 m3
ST_1_2_C_2_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
23.201
23.201
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
ST_1_2_C_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
33.011
60.008
!!
!!
!!
!!
!!
181.78%
€
NL
X
1000 NAC
ST_1_2_C_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
953.482
1733.253
!!
!!
!!
!!
!!
181.78%
UV
NL
X
1000 m3
ST_1_2_C_2_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
28.884
28.884
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
ST_1_2_C_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
35.945
26.014
!!
!!
!!
!!
!!
72.37%
€
NL
M
1000 NAC
ST_1_2_C_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1072.565
776.221
!!
!!
!!
!!
!!
72.37%
UV
NL
M
1000 m3
ST_1_2_C_2_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
29.839
29.839
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
ST_1_2_C_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
83.603
51.996
!!
!!
!!
!!
!!
62.19%
€
NL
X
1000 NAC
ST_1_2_C_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3377.977
2100.914
!!
!!
!!
!!
!!
62.19%
UV
NL
X
1000 m3
ST_1_2_C_2_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
40.405
40.405
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
ST_1_2_C_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_C_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_C_2_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_C_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_C_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_C_2_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_C_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_C_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_C_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_C_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_C_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_C_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
120.475
119.456
!!
!!
!!
!!
!!
99.15%
€
NL
M
1000 NAC
ST_1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
32874.000
32596.000
!!
!!
!!
!!
!!
99.15%
UV
NL
M
1000 m3
ST_1_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
272.870
272.870
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
ST_1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
203.300
168.158
!!
!!
!!
!!
!!
82.71%
€
NL
X
1000 NAC
ST_1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
16084.000
13304.000
!!
!!
!!
!!
!!
82.72%
UV
NL
X
1000 m3
ST_1_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
79.115
79.116
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
ST_1_2_NC_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_NC_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_NC_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_NC_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_NC_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_NC_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_NC_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_NC_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_NC_1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_NC_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_NC_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_NC_1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_NC_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_NC_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_NC_1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_NC_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_NC_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_NC_1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_NC_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2988.900
3132.000
!!
!!
!!
!!
!!
104.79%
€
NL
M
1000 NAC
ST_1_2_NC_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
622140.000
638707.000
!!
!!
!!
!!
!!
102.66%
UV
NL
M
1000 m3
ST_1_2_NC_1_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
208.150
203.929
!!
!!
!!
!!
!!
97.97%
Q
NL
X
1000 m3
ST_1_2_NC_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
690.800
596.400
!!
!!
!!
!!
!!
86.33%
€
NL
X
1000 NAC
ST_1_2_NC_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
141812.000
143320.000
!!
!!
!!
!!
!!
101.06%
UV
NL
X
1000 m3
ST_1_2_NC_1_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
205.287
240.309
!!
!!
!!
!!
!!
117.06%
Q
NL
M
1000 m3
ST_1_2_NC_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_NC_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_NC_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_NC_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_NC_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_NC_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_NC_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_NC_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_NC_2_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_NC_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_NC_2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_NC_2_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_NC_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_NC_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_NC_2_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_NC_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_NC_2_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_NC_2_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_NC_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1523.300
1684.900
!!
!!
!!
!!
!!
110.61%
€
NL
M
1000 NAC
ST_1_2_NC_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
303468.000
329636.000
!!
!!
!!
!!
!!
108.62%
UV
NL
M
1000 m3
ST_1_2_NC_2_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
199.217
195.641
!!
!!
!!
!!
!!
98.20%
Q
NL
X
1000 m3
ST_1_2_NC_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
93.700
114.000
!!
!!
!!
!!
!!
121.66%
€
NL
X
1000 NAC
ST_1_2_NC_2_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
19733.000
20862.000
!!
!!
!!
!!
!!
105.72%
UV
NL
X
1000 m3
ST_1_2_NC_2_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
210.598
183.000
!!
!!
!!
!!
!!
86.90%
Q
NL
M
1000 m3
ST_1_2_NC_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_1_2_NC_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_1_2_NC_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_1_2_NC_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_1_2_NC_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_1_2_NC_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_1_2_NC_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
881.400
824.300
!!
!!
!!
!!
!!
93.52%
€
NL
M
1000 NAC
ST_1_2_NC_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
180519.000
156020.000
!!
!!
!!
!!
!!
86.43%
UV
NL
M
1000 m3
ST_1_2_NC_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
204.809
189.276
!!
!!
!!
!!
!!
92.42%
Q
NL
X
1000 m3
ST_1_2_NC_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
442.900
324.300
!!
!!
!!
!!
!!
73.22%
€
NL
X
1000 NAC
ST_1_2_NC_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
83071.000
79991.000
!!
!!
!!
!!
!!
96.29%
UV
NL
X
1000 m3
ST_1_2_NC_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
187.562
246.657
!!
!!
!!
!!
!!
131.51%
Q
NL
M
1000 m3
ST_1_2_NC_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
366.100
296.700
!!
!!
!!
!!
!!
81.04%
€
NL
M
1000 NAC
ST_1_2_NC_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
226309.000
213856.000
!!
!!
!!
!!
!!
94.50%
UV
NL
M
1000 m3
ST_1_2_NC_5
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
618.162
720.782
!!
!!
!!
!!
!!
116.60%
Q
NL
X
1000 m3
ST_1_2_NC_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
76.600
92.300
!!
!!
!!
!!
!!
120.50%
€
NL
X
1000 NAC
ST_1_2_NC_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
66602.000
70209.000
!!
!!
!!
!!
!!
105.42%
UV
NL
X
1000 m3
ST_1_2_NC_5
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
869.478
760.661
!!
!!
!!
!!
!!
87.48%
Q
NL
M
1000 m3
ST_5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
44.500
47.500
!!
!!
!!
!!
!!
106.74%
€
NL
M
1000 NAC
ST_5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
36386.000
41605.000
!!
!!
!!
!!
!!
114.34%
UV
NL
M
1000 m3
ST_5_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
817.663
875.895
!!
!!
!!
!!
!!
107.12%
Q
NL
X
1000 m3
ST_5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
24.600
29.000
!!
!!
!!
!!
!!
117.89%
€
NL
X
1000 NAC
ST_5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
23453.000
28360.000
!!
!!
!!
!!
!!
120.92%
UV
NL
X
1000 m3
ST_5_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
953.374
977.931
!!
!!
!!
!!
!!
102.58%
Q
NL
M
1000 m3
ST_5_C_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6.600
7.600
!!
!!
!!
!!
!!
115.15%
€
NL
M
1000 NAC
ST_5_C_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3282.000
3021.000
!!
!!
!!
!!
!!
92.05%
UV
NL
M
1000 m3
ST_5_C_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
497.273
397.500
!!
!!
!!
!!
!!
79.94%
Q
NL
X
1000 m3
ST_5_C_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3.100
0.900
!!
!!
!!
!!
!!
29.03%
€
NL
X
1000 NAC
ST_5_C_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1463.000
439.000
!!
!!
!!
!!
!!
30.01%
UV
NL
X
1000 m3
ST_5_C_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
471.935
487.778
!!
!!
!!
!!
!!
103.36%
Q
NL
M
1000 m3
ST_5_C_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.700
0.700
!!
!!
!!
!!
!!
100.00%
€
NL
M
1000 NAC
ST_5_C_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
507.000
519.000
!!
!!
!!
!!
!!
102.37%
UV
NL
M
1000 m3
ST_5_C_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
724.286
741.429
!!
!!
!!
!!
!!
102.37%
Q
NL
X
1000 m3
ST_5_C_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.300
0.300
!!
!!
!!
!!
!!
100.00%
€
NL
X
1000 NAC
ST_5_C_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
341.000
390.000
!!
!!
!!
!!
!!
114.37%
UV
NL
X
1000 m3
ST_5_C_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1136.667
1300.000
!!
!!
!!
!!
!!
114.37%
Q
NL
M
1000 m3
ST_5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.100
0.200
!!
!!
!!
!!
!!
200.00%
€
NL
M
1000 NAC
ST_5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
143.000
170.000
!!
!!
!!
!!
!!
118.88%
UV
NL
M
1000 m3
ST_5_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1430.000
850.000
!!
!!
!!
!!
!!
59.44%
Q
NL
X
1000 m3
ST_5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
34.000
12.000
!!
!!
!!
!!
!!
35.29%
UV
NL
X
1000 m3
ST_5_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_5_NC_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1.200
1.600
!!
!!
!!
!!
!!
133.33%
€
NL
M
1000 NAC
ST_5_NC_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1106.000
1346.000
!!
!!
!!
!!
!!
121.70%
UV
NL
M
1000 m3
ST_5_NC_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
921.667
841.250
!!
!!
!!
!!
!!
91.27%
Q
NL
X
1000 m3
ST_5_NC_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.500
0.400
!!
!!
!!
!!
!!
80.00%
€
NL
X
1000 NAC
ST_5_NC_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
352.000
231.000
!!
!!
!!
!!
!!
65.63%
UV
NL
X
1000 m3
ST_5_NC_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
704.000
577.500
!!
!!
!!
!!
!!
82.03%
Q
NL
M
1000 m3
ST_5_NC_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
93.100
64.200
!!
!!
!!
!!
!!
68.96%
€
NL
M
1000 NAC
ST_5_NC_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
19564.000
19313.000
!!
!!
!!
!!
!!
98.72%
UV
NL
M
1000 m3
ST_5_NC_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
210.140
300.826
!!
!!
!!
!!
!!
143.16%
Q
NL
X
1000 m3
ST_5_NC_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
7.100
6.600
!!
!!
!!
!!
!!
92.96%
€
NL
X
1000 NAC
ST_5_NC_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1147.000
1352.000
!!
!!
!!
!!
!!
117.87%
UV
NL
X
1000 m3
ST_5_NC_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
161.549
204.848
!!
!!
!!
!!
!!
126.80%
Q
NL
M
1000 m3
ST_5_NC_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2.100
3.100
!!
!!
!!
!!
!!
147.62%
€
NL
M
1000 NAC
ST_5_NC_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1102.000
1520.000
!!
!!
!!
!!
!!
137.93%
UV
NL
M
1000 m3
ST_5_NC_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
524.762
490.323
!!
!!
!!
!!
!!
93.44%
Q
NL
X
1000 m3
ST_5_NC_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.700
1.100
!!
!!
!!
!!
!!
157.14%
€
NL
X
1000 NAC
ST_5_NC_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
623.000
1111.000
!!
!!
!!
!!
!!
178.33%
UV
NL
X
1000 m3
ST_5_NC_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
890.000
1010.000
!!
!!
!!
!!
!!
113.48%
Q
NL
M
1000 m3
ST_5_NC_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_5_NC_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_5_NC_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_5_NC_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_5_NC_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_5_NC_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_5_NC_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_5_NC_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_5_NC_5
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_5_NC_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_5_NC_5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_5_NC_5
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
M
1000 m3
ST_5_NC_6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
10.000
10.000
!!
!!
!!
!!
!!
100.00%
€
NL
M
1000 NAC
ST_5_NC_6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
10.000
10.000
!!
!!
!!
!!
!!
100.00%
UV
NL
M
1000 m3
ST_5_NC_6
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1.000
1.000
!!
!!
!!
!!
!!
100.00%
Q
NL
X
1000 m3
ST_5_NC_6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
10.000
10.000
!!
!!
!!
!!
!!
100.00%
€
NL
X
1000 NAC
ST_5_NC_6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
10.000
10.000
!!
!!
!!
!!
!!
100.00%
UV
NL
X
1000 m3
ST_5_NC_6
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1.000
1.000
!!
!!
!!
!!
!!
100.00%
Q
NL
M
1000 m3
ST_5_NC_7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
M
1000 NAC
ST_5_NC_7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
M
1000 m3
ST_5_NC_7
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
X
1000 m3
ST_5_NC_7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
X
1000 NAC
ST_5_NC_7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
X
1000 m3
ST_5_NC_7
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
TS-EU1
%
Min:
80%
Max:
120%
Notes
EU1
Country
Flow
Unit
Product
2015
2016
2017
2018
2019
2019
2020
15/16
16/17
17/18
18/19
19/19
19/20
2015
2016
2017
2018
Q
NL
EX_M
1000 m3
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
27.773
34.100
!!
!!
!!
!!
!!
122.78%
€
NL
EX_M
1000 NAC
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4440.000
5006.000
!!
!!
!!
!!
!!
112.75%
UV
NL
EX_M
1000 m3
1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
159.867
146.804
!!
!!
!!
!!
!!
91.83%
Q
NL
EX_X
1000 m3
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
70.344
100.308
!!
!!
!!
!!
!!
142.60%
€
NL
EX_X
1000 NAC
1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4608.000
8278.000
!!
!!
!!
!!
!!
179.64%
UV
NL
EX_X
1000 m3
1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
65.507
82.526
!!
!!
!!
!!
!!
125.98%
Q
NL
EX_M
1000 m3
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
21.548
27.600
!!
!!
!!
!!
!!
128.09%
€
NL
EX_M
1000 NAC
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2200.000
2714.000
!!
!!
!!
!!
!!
123.36%
UV
NL
EX_M
1000 m3
1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
102.098
98.333
!!
!!
!!
!!
!!
96.31%
Q
NL
EX_X
1000 m3
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.279
1.400
!!
!!
!!
!!
!!
501.79%
€
NL
EX_X
1000 NAC
1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
101.000
408.000
!!
!!
!!
!!
!!
403.96%
UV
NL
EX_X
1000 m3
1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
362.007
291.429
!!
!!
!!
!!
!!
80.50%
Q
NL
EX_M
1000 m3
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.978
0.783
!!
!!
!!
!!
!!
80.06%
€
NL
EX_M
1000 NAC
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
95.000
95.000
!!
!!
!!
!!
!!
100.00%
UV
NL
EX_M
1000 m3
1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
97.137
121.328
!!
!!
!!
!!
!!
124.90%
Q
NL
EX_X
1000 m3
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.143
0.700
!!
!!
!!
!!
!!
489.51%
€
NL
EX_X
1000 NAC
1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
39.000
101.000
!!
!!
!!
!!
!!
258.97%
UV
NL
EX_X
1000 m3
1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
272.727
144.286
!!
!!
!!
!!
!!
52.90%
Q
NL
EX_M
1000 m3
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
20.570
26.800
!!
!!
!!
!!
!!
130.29%
€
NL
EX_M
1000 NAC
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2105.000
2619.000
!!
!!
!!
!!
!!
124.42%
UV
NL
EX_M
1000 m3
1_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
102.333
97.724
!!
!!
!!
!!
!!
95.50%
Q
NL
EX_X
1000 m3
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.137
0.700
!!
!!
!!
!!
!!
510.95%
€
NL
EX_X
1000 NAC
1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
62.000
307.000
!!
!!
!!
!!
!!
495.16%
UV
NL
EX_X
1000 m3
1_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
452.555
438.571
!!
!!
!!
!!
!!
96.91%
Q
NL
EX_M
1000 m3
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6.225
6.500
!!
!!
!!
!!
!!
104.42%
€
NL
EX_M
1000 NAC
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2240.000
2292.000
!!
!!
!!
!!
!!
102.32%
UV
NL
EX_M
1000 m3
1_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
359.839
352.615
!!
!!
!!
!!
!!
97.99%
Q
NL
EX_X
1000 m3
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
70.065
98.908
!!
!!
!!
!!
!!
141.17%
€
NL
EX_X
1000 NAC
1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4507.000
7870.000
!!
!!
!!
!!
!!
174.62%
UV
NL
EX_X
1000 m3
1_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
64.326
79.569
!!
!!
!!
!!
!!
123.70%
Q
NL
EX_M
1000 m3
1_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.210
0.100
!!
!!
!!
!!
!!
47.62%
€
NL
EX_M
1000 NAC
1_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
15.000
9.000
!!
!!
!!
!!
!!
60.00%
UV
NL
EX_M
1000 m3
1_2_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
71.429
90.000
!!
!!
!!
!!
!!
126.00%
Q
NL
EX_X
1000 m3
1_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
39.984
54.508
!!
!!
!!
!!
!!
136.32%
€
NL
EX_X
1000 NAC
1_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2002.000
4874.000
!!
!!
!!
!!
!!
243.46%
UV
NL
EX_X
1000 m3
1_2_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
50.070
89.418
!!
!!
!!
!!
!!
178.59%
Q
NL
EX_M
1000 mt
2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6.015
6.400
!!
!!
!!
!!
!!
106.40%
€
NL
EX_M
1000 NAC
2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2225.000
2283.000
!!
!!
!!
!!
!!
102.61%
UV
NL
EX_M
1000 mt
2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
369.909
356.719
!!
!!
!!
!!
!!
96.43%
Q
NL
EX_X
1000 mt
2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
30.081
44.400
!!
!!
!!
!!
!!
147.60%
€
NL
EX_X
1000 NAC
2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2505.000
2996.000
!!
!!
!!
!!
!!
119.60%
UV
NL
EX_X
1000 mt
2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
83.275
67.477
!!
!!
!!
!!
!!
81.03%
Q
NL
EX_M
1000 m3
3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1.360
1.200
!!
!!
!!
!!
!!
88.24%
€
NL
EX_M
1000 NAC
3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
993.000
797.000
!!
!!
!!
!!
!!
80.26%
UV
NL
EX_M
1000 m3
3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
730.147
664.167
!!
!!
!!
!!
!!
90.96%
Q
NL
EX_X
1000 m3
3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.191
0.100
!!
!!
!!
!!
!!
52.36%
€
NL
EX_X
1000 NAC
3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
193.000
51.000
!!
!!
!!
!!
!!
26.42%
UV
NL
EX_X
1000 m3
3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1010.471
510.000
!!
!!
!!
!!
!!
50.47%
Q
NL
EX_M
1000 m3
3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
30.238
34.410
!!
!!
!!
!!
!!
113.80%
€
NL
EX_M
1000 NAC
3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
19028.000
18447.000
!!
!!
!!
!!
!!
96.95%
UV
NL
EX_M
1000 m3
3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
629.283
536.094
!!
!!
!!
!!
!!
85.19%
Q
NL
EX_X
1000 m3
3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2.692
0.700
!!
!!
!!
!!
!!
26.00%
€
NL
EX_X
1000 NAC
3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
13399.000
3197.000
!!
!!
!!
!!
!!
23.86%
UV
NL
EX_X
1000 m3
3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4977.340
4567.143
!!
!!
!!
!!
!!
91.76%
Q
NL
EX_M
1000 m3
3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.859
2.945
!!
!!
!!
!!
!!
342.84%
€
NL
EX_M
1000 NAC
3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
391.000
486.000
!!
!!
!!
!!
!!
124.30%
UV
NL
EX_M
1000 m3
3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
455.180
165.025
!!
!!
!!
!!
!!
36.25%
Q
NL
EX_X
1000 m3
3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
13.348
5.600
!!
!!
!!
!!
!!
41.95%
€
NL
EX_X
1000 NAC
3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1114.000
1251.000
!!
!!
!!
!!
!!
112.30%
UV
NL
EX_X
1000 m3
3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
83.457
223.393
!!
!!
!!
!!
!!
267.67%
Q
NL
EX_M
1000 mt
4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.500
0.703
!!
!!
!!
!!
!!
140.60%
€
NL
EX_M
1000 NAC
4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
377.000
436.000
!!
!!
!!
!!
!!
115.65%
UV
NL
EX_M
1000 mt
4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
754.000
620.199
!!
!!
!!
!!
!!
82.25%
Q
NL
EX_X
1000 mt
4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
8.677
0.700
!!
!!
!!
!!
!!
8.07%
€
NL
EX_X
1000 NAC
4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
188.000
267.000
!!
!!
!!
!!
!!
142.02%
UV
NL
EX_X
1000 mt
4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
21.666
381.429
!!
!!
!!
!!
!!
1760.49%
Q
NL
EX_M
1000 mt
4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.359
2.242
!!
!!
!!
!!
!!
624.51%
€
NL
EX_M
1000 NAC
4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
14.000
50.000
!!
!!
!!
!!
!!
357.14%
UV
NL
EX_M
1000 mt
4_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
38.997
22.302
!!
!!
!!
!!
!!
57.19%
Q
NL
EX_X
1000 mt
4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4.671
4.900
!!
!!
!!
!!
!!
104.90%
€
NL
EX_X
1000 NAC
4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
926.000
984.000
!!
!!
!!
!!
!!
106.26%
UV
NL
EX_X
1000 mt
4_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
198.244
200.816
!!
!!
!!
!!
!!
101.30%
Q
NL
EX_M
1000 mt
4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
EX_M
1000 NAC
4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
EX_M
1000 mt
4_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
EX_X
1000 mt
4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
€
NL
EX_X
1000 NAC
4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.000
0.000
!!
!!
!!
!!
!!
!!
UV
NL
EX_X
1000 mt
4_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#DIV/0!
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
EX_M
1000 m3
5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
292.836
1065.430
!!
!!
!!
!!
!!
363.83%
€
NL
EX_M
1000 NAC
5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
47950.000
173008.000
!!
!!
!!
!!
!!
360.81%
UV
NL
EX_M
1000 m3
5
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
163.744
162.383
!!
!!
!!
!!
!!
99.17%
Q
NL
EX_X
1000 m3
5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
11.468
20.300
!!
!!
!!
!!
!!
177.01%
€
NL
EX_X
1000 NAC
5
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3625.000
5664.000
!!
!!
!!
!!
!!
156.25%
UV
NL
EX_X
1000 m3
5
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
316.097
279.015
!!
!!
!!
!!
!!
88.27%
Q
NL
EX_M
1000 m3
5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
291.863
1064.430
!!
!!
!!
!!
!!
364.70%
€
NL
EX_M
1000 NAC
5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
47756.000
172770.000
!!
!!
!!
!!
!!
361.78%
UV
NL
EX_M
1000 m3
5_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
163.625
162.312
!!
!!
!!
!!
!!
99.20%
Q
NL
EX_X
1000 m3
5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.487
8.400
!!
!!
!!
!!
!!
1724.85%
€
NL
EX_X
1000 NAC
5_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
232.000
2228.000
!!
!!
!!
!!
!!
960.34%
UV
NL
EX_X
1000 m3
5_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
476.386
265.238
!!
!!
!!
!!
!!
55.68%
Q
NL
EX_M
1000 m3
5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.973
1.000
!!
!!
!!
!!
!!
102.77%
€
NL
EX_M
1000 NAC
5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
194.000
238.000
!!
!!
!!
!!
!!
122.68%
UV
NL
EX_M
1000 m3
5_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
199.383
238.000
!!
!!
!!
!!
!!
119.37%
Q
NL
EX_X
1000 m3
5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
10.981
11.900
!!
!!
!!
!!
!!
108.37%
€
NL
EX_X
1000 NAC
5_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3393.000
3436.000
!!
!!
!!
!!
!!
101.27%
UV
NL
EX_X
1000 m3
5_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
308.988
288.739
!!
!!
!!
!!
!!
93.45%
Q
NL
EX_M
1000 m3
5_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
790.450
747.943
!!
!!
!!
!!
!!
94.62%
€
NL
EX_M
1000 NAC
5_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
274167.000
235536.000
!!
!!
!!
!!
!!
85.91%
UV
NL
EX_M
1000 m3
5_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
346.849
314.912
!!
!!
!!
!!
!!
90.79%
Q
NL
EX_X
1000 m3
5_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
111.962
120.920
!!
!!
!!
!!
!!
108.00%
€
NL
EX_X
1000 NAC
5_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
35159.000
23732.000
!!
!!
!!
!!
!!
67.50%
UV
NL
EX_X
1000 m3
5_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
314.026
196.262
!!
!!
!!
!!
!!
62.50%
Q
NL
EX_M
1000 m3
6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
599.861
575.783
!!
!!
!!
!!
!!
95.99%
€
NL
EX_M
1000 NAC
6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
130914.000
106350.000
!!
!!
!!
!!
!!
81.24%
UV
NL
EX_M
1000 m3
6
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
218.241
184.705
!!
!!
!!
!!
!!
84.63%
Q
NL
EX_X
1000 m3
6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
94.988
73.900
!!
!!
!!
!!
!!
77.80%
€
NL
EX_X
1000 NAC
6
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
18885.000
19015.000
!!
!!
!!
!!
!!
100.69%
UV
NL
EX_X
1000 m3
6
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
198.815
257.307
!!
!!
!!
!!
!!
129.42%
Q
NL
EX_M
1000 m3
6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
190.589
172.160
!!
!!
!!
!!
!!
90.33%
€
NL
EX_M
1000 NAC
6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
143253.000
129186.000
!!
!!
!!
!!
!!
90.18%
UV
NL
EX_M
1000 m3
6_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
751.633
750.383
!!
!!
!!
!!
!!
99.83%
Q
NL
EX_X
1000 m3
6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
16.974
47.020
!!
!!
!!
!!
!!
277.01%
€
NL
EX_X
1000 NAC
6_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
16274.000
4717.000
!!
!!
!!
!!
!!
28.98%
UV
NL
EX_X
1000 m3
6_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
958.760
100.319
!!
!!
!!
!!
!!
10.46%
Q
NL
EX_M
1000 m3
6_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
148.538
134.197
!!
!!
!!
!!
!!
90.35%
€
NL
EX_M
1000 NAC
6_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
120242.000
106430.000
!!
!!
!!
!!
!!
88.51%
UV
NL
EX_M
1000 m3
6_1_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
809.503
793.088
!!
!!
!!
!!
!!
97.97%
Q
NL
EX_X
1000 m3
6_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1.891
2.665
!!
!!
!!
!!
!!
140.93%
€
NL
EX_X
1000 NAC
6_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2416.000
1769.000
!!
!!
!!
!!
!!
73.22%
UV
NL
EX_X
1000 m3
6_1_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1277.631
663.790
!!
!!
!!
!!
!!
51.95%
Q
NL
EX_M
1000 m3
6_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
5.519
10.366
!!
!!
!!
!!
!!
187.82%
€
NL
EX_M
1000 NAC
6_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4325.000
9734.000
!!
!!
!!
!!
!!
225.06%
UV
NL
EX_M
1000 m3
6_1_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
783.656
939.031
!!
!!
!!
!!
!!
119.83%
Q
NL
EX_X
1000 m3
6_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
9.743
10.200
!!
!!
!!
!!
!!
104.69%
€
NL
EX_X
1000 NAC
6_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
8170.000
4274.000
!!
!!
!!
!!
!!
52.31%
UV
NL
EX_X
1000 m3
6_1_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
838.551
419.020
!!
!!
!!
!!
!!
49.97%
Q
NL
EX_M
1000 m3
6_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.469
0.154
!!
!!
!!
!!
!!
32.84%
€
NL
EX_M
1000 NAC
6_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
163.000
204.000
!!
!!
!!
!!
!!
125.15%
UV
NL
EX_M
1000 m3
6_1_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
347.548
1324.675
!!
!!
!!
!!
!!
381.15%
Q
NL
EX_X
1000 m3
6_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.037
0.200
!!
!!
!!
!!
!!
540.54%
€
NL
EX_X
1000 NAC
6_1_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
25.000
75.000
!!
!!
!!
!!
!!
300.00%
UV
NL
EX_X
1000 m3
6_1_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
675.676
375.000
!!
!!
!!
!!
!!
55.50%
Q
NL
EX_M
1000 m3
6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
5.050
10.212
!!
!!
!!
!!
!!
202.22%
€
NL
EX_M
1000 NAC
6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4162.000
9530.000
!!
!!
!!
!!
!!
228.98%
UV
NL
EX_M
1000 m3
6_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
824.158
933.216
!!
!!
!!
!!
!!
113.23%
Q
NL
EX_X
1000 m3
6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
9.706
10.000
!!
!!
!!
!!
!!
103.03%
€
NL
EX_X
1000 NAC
6_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
8145.000
4199.000
!!
!!
!!
!!
!!
51.55%
UV
NL
EX_X
1000 m3
6_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
839.172
419.900
!!
!!
!!
!!
!!
50.04%
Q
NL
EX_M
1000 m3
6_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2.209
8.487
!!
!!
!!
!!
!!
384.20%
€
NL
EX_M
1000 NAC
6_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
804.000
5404.000
!!
!!
!!
!!
!!
672.14%
UV
NL
EX_M
1000 m3
6_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
363.966
636.739
!!
!!
!!
!!
!!
174.94%
Q
NL
EX_X
1000 m3
6_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.091
0.000
!!
!!
!!
!!
!!
0.00%
€
NL
EX_X
1000 NAC
6_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
30.000
30.000
!!
!!
!!
!!
!!
100.00%
UV
NL
EX_X
1000 m3
6_2_C
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
329.670
ERROR:#DIV/0!
!!
!!
!!
!!
!!
!!
Q
NL
EX_M
1000 m3
6_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
255.910
322.510
!!
!!
!!
!!
!!
126.02%
€
NL
EX_M
1000 NAC
6_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
128821.000
141697.000
!!
!!
!!
!!
!!
110.00%
UV
NL
EX_M
1000 m3
6_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
503.384
439.357
!!
!!
!!
!!
!!
87.28%
Q
NL
EX_X
1000 m3
6_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
73.434
81.176
!!
!!
!!
!!
!!
110.54%
€
NL
EX_X
1000 NAC
6_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
33905.000
47434.000
!!
!!
!!
!!
!!
139.90%
UV
NL
EX_X
1000 m3
6_2_NC
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
461.707
584.335
!!
!!
!!
!!
!!
126.56%
Q
NL
EX_M
1000 m3
6_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
246.290
272.085
!!
!!
!!
!!
!!
110.47%
€
NL
EX_M
1000 NAC
6_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
124483.000
127176.000
!!
!!
!!
!!
!!
102.16%
UV
NL
EX_M
1000 m3
6_2_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
505.433
467.413
!!
!!
!!
!!
!!
92.48%
Q
NL
EX_X
1000 m3
6_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
18.745
20.216
!!
!!
!!
!!
!!
107.85%
€
NL
EX_X
1000 NAC
6_2_NC_T
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
15123.000
23418.000
!!
!!
!!
!!
!!
154.85%
UV
NL
EX_X
1000 m3
6_2_NC_T
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
806.775
1158.389
!!
!!
!!
!!
!!
143.58%
Q
NL
EX_M
1000 m3
6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
102.777
118.920
!!
!!
!!
!!
!!
115.71%
€
NL
EX_M
1000 NAC
6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
44980.000
48635.000
!!
!!
!!
!!
!!
108.13%
UV
NL
EX_M
1000 m3
6_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
437.647
408.972
!!
!!
!!
!!
!!
93.45%
Q
NL
EX_X
1000 m3
6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2.558
5.331
!!
!!
!!
!!
!!
208.41%
€
NL
EX_X
1000 NAC
6_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2078.000
4374.000
!!
!!
!!
!!
!!
210.49%
UV
NL
EX_X
1000 m3
6_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
812.353
820.484
!!
!!
!!
!!
!!
101.00%
Q
NL
EX_M
1000 m3
6_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
143.513
153.165
!!
!!
!!
!!
!!
106.73%
€
NL
EX_M
1000 NAC
6_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
79503.000
78541.000
!!
!!
!!
!!
!!
98.79%
UV
NL
EX_M
1000 m3
6_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
553.978
512.787
!!
!!
!!
!!
!!
92.56%
Q
NL
EX_X
1000 m3
6_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
16.187
14.885
!!
!!
!!
!!
!!
91.96%
€
NL
EX_X
1000 NAC
6_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
13045.000
19044.000
!!
!!
!!
!!
!!
145.99%
UV
NL
EX_X
1000 m3
6_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
805.894
1279.409
!!
!!
!!
!!
!!
158.76%
Q
NL
EX_M
1000 m3
6_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
42.410
48.111
!!
!!
!!
!!
!!
113.44%
€
NL
EX_M
1000 NAC
6_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
30562.000
33534.000
!!
!!
!!
!!
!!
109.72%
UV
NL
EX_M
1000 m3
6_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
720.632
697.013
!!
!!
!!
!!
!!
96.72%
Q
NL
EX_X
1000 m3
6_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
11.817
8.022
!!
!!
!!
!!
!!
67.89%
€
NL
EX_X
1000 NAC
6_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
9468.000
11653.000
!!
!!
!!
!!
!!
123.08%
UV
NL
EX_X
1000 m3
6_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
801.219
1452.630
!!
!!
!!
!!
!!
181.30%
Q
NL
EX_M
1000 m3
6_4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3.211
32.332
!!
!!
!!
!!
!!
1006.91%
€
NL
EX_M
1000 NAC
6_4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
771.000
6931.000
!!
!!
!!
!!
!!
898.96%
UV
NL
EX_M
1000 m3
6_4_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
240.112
214.370
!!
!!
!!
!!
!!
89.28%
Q
NL
EX_X
1000 m3
6_4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
22.030
29.517
!!
!!
!!
!!
!!
133.99%
€
NL
EX_X
1000 NAC
6_4_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
5089.000
6856.000
!!
!!
!!
!!
!!
134.72%
UV
NL
EX_X
1000 m3
6_4_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
231.003
232.273
!!
!!
!!
!!
!!
100.55%
Q
NL
EX_M
1000 m3
6_4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.800
19.010
!!
!!
!!
!!
!!
2376.25%
€
NL
EX_M
1000 NAC
6_4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
211.000
4528.000
!!
!!
!!
!!
!!
2145.97%
UV
NL
EX_M
1000 m3
6_4_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
263.750
238.190
!!
!!
!!
!!
!!
90.31%
Q
NL
EX_X
1000 m3
6_4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.646
0.270
!!
!!
!!
!!
!!
41.80%
€
NL
EX_X
1000 NAC
6_4_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
173.000
104.000
!!
!!
!!
!!
!!
60.12%
UV
NL
EX_X
1000 m3
6_4_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
267.802
385.185
!!
!!
!!
!!
!!
143.83%
Q
NL
EX_M
1000 m3
6_4_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6.409
18.093
!!
!!
!!
!!
!!
282.31%
€
NL
EX_M
1000 NAC
6_4_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3567.000
7590.000
!!
!!
!!
!!
!!
212.78%
UV
NL
EX_M
1000 m3
6_4_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
556.561
419.499
!!
!!
!!
!!
!!
75.37%
Q
NL
EX_X
1000 m3
6_4_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
32.659
31.443
!!
!!
!!
!!
!!
96.28%
€
NL
EX_X
1000 NAC
6_4_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
13693.000
17160.000
!!
!!
!!
!!
!!
125.32%
UV
NL
EX_X
1000 m3
6_4_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
419.272
545.749
!!
!!
!!
!!
!!
130.17%
Q
NL
EX_M
1000 mt
7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2.420
3.784
!!
!!
!!
!!
!!
156.36%
€
NL
EX_M
1000 NAC
7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1612.000
1761.000
!!
!!
!!
!!
!!
109.24%
UV
NL
EX_M
1000 mt
7
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
666.116
465.381
!!
!!
!!
!!
!!
69.86%
Q
NL
EX_X
1000 mt
7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4.709
8.077
!!
!!
!!
!!
!!
171.52%
€
NL
EX_X
1000 NAC
7
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3335.000
3601.000
!!
!!
!!
!!
!!
107.98%
UV
NL
EX_X
1000 mt
7
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
708.218
445.834
!!
!!
!!
!!
!!
62.95%
Q
NL
EX_M
1000 mt
7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
3.601
13.918
!!
!!
!!
!!
!!
386.50%
€
NL
EX_M
1000 NAC
7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1859.000
5641.000
!!
!!
!!
!!
!!
303.44%
UV
NL
EX_M
1000 mt
7_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
516.245
405.302
!!
!!
!!
!!
!!
78.51%
Q
NL
EX_X
1000 mt
7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
26.424
22.762
!!
!!
!!
!!
!!
86.14%
€
NL
EX_X
1000 NAC
7_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
9393.000
13064.000
!!
!!
!!
!!
!!
139.08%
UV
NL
EX_X
1000 mt
7_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
355.472
573.939
!!
!!
!!
!!
!!
161.46%
Q
NL
EX_M
1000 mt
7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.388
0.391
!!
!!
!!
!!
!!
100.77%
€
NL
EX_M
1000 NAC
7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
96.000
188.000
!!
!!
!!
!!
!!
195.83%
UV
NL
EX_M
1000 mt
7_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
247.423
480.818
!!
!!
!!
!!
!!
194.33%
Q
NL
EX_X
1000 mt
7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1.526
0.604
!!
!!
!!
!!
!!
39.58%
€
NL
EX_X
1000 NAC
7_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
965.000
495.000
!!
!!
!!
!!
!!
51.30%
UV
NL
EX_X
1000 mt
7_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
632.372
819.536
!!
!!
!!
!!
!!
129.60%
Q
NL
EX_M
1000 mt
7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
892.983
913.320
!!
!!
!!
!!
!!
102.28%
€
NL
EX_M
1000 NAC
7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
544743.146
422241.000
!!
!!
!!
!!
!!
77.51%
UV
NL
EX_M
1000 mt
7_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
610.026
462.314
!!
!!
!!
!!
!!
75.79%
Q
NL
EX_X
1000 mt
7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
593.811
461.331
!!
!!
!!
!!
!!
77.69%
€
NL
EX_X
1000 NAC
7_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
334750.000
235433.000
!!
!!
!!
!!
!!
70.33%
UV
NL
EX_X
1000 mt
7_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
563.732
510.334
!!
!!
!!
!!
!!
90.53%
Q
NL
EX_M
1000 mt
7_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
82.504
68.770
!!
!!
!!
!!
!!
83.35%
€
NL
EX_M
1000 NAC
7_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
35843.000
28905.000
!!
!!
!!
!!
!!
80.64%
UV
NL
EX_M
1000 mt
7_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
434.440
420.314
!!
!!
!!
!!
!!
96.75%
Q
NL
EX_X
1000 mt
7_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
18.219
3.647
!!
!!
!!
!!
!!
20.02%
€
NL
EX_X
1000 NAC
7_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
8221.000
1468.000
!!
!!
!!
!!
!!
17.86%
UV
NL
EX_X
1000 mt
7_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
451.232
402.523
!!
!!
!!
!!
!!
89.21%
Q
NL
EX_M
1000 mt
7_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
793.568
823.636
!!
!!
!!
!!
!!
103.79%
€
NL
EX_M
1000 NAC
7_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
487423.000
367074.000
!!
!!
!!
!!
!!
75.31%
UV
NL
EX_M
1000 mt
7_3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
614.217
445.675
!!
!!
!!
!!
!!
72.56%
Q
NL
EX_X
1000 mt
7_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
575.345
457.337
!!
!!
!!
!!
!!
79.49%
€
NL
EX_X
1000 NAC
7_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
326360.000
233713.000
!!
!!
!!
!!
!!
71.61%
UV
NL
EX_X
1000 mt
7_3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
567.242
511.030
!!
!!
!!
!!
!!
90.09%
Q
NL
EX_M
1000 mt
7_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
793.523
823.616
!!
!!
!!
!!
!!
103.79%
€
NL
EX_M
1000 NAC
7_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
487118.000
366851.000
!!
!!
!!
!!
!!
75.31%
UV
NL
EX_M
1000 mt
7_3_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
613.868
445.415
!!
!!
!!
!!
!!
72.56%
Q
NL
EX_X
1000 mt
7_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
575.334
457.330
!!
!!
!!
!!
!!
79.49%
€
NL
EX_X
1000 NAC
7_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
326339.000
233676.000
!!
!!
!!
!!
!!
71.61%
UV
NL
EX_X
1000 mt
7_3_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
567.217
510.957
!!
!!
!!
!!
!!
90.08%
Q
NL
EX_M
1000 mt
7_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
793.296
823.330
!!
!!
!!
!!
!!
103.79%
€
NL
EX_M
1000 NAC
7_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
486957.000
366656.000
!!
!!
!!
!!
!!
75.30%
UV
NL
EX_M
1000 mt
7_3_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
613.840
445.333
!!
!!
!!
!!
!!
72.55%
Q
NL
EX_X
1000 mt
7_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
575.246
457.304
!!
!!
!!
!!
!!
79.50%
€
NL
EX_X
1000 NAC
7_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
326289.000
233667.000
!!
!!
!!
!!
!!
71.61%
UV
NL
EX_X
1000 mt
7_3_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
567.216
510.966
!!
!!
!!
!!
!!
90.08%
Q
NL
EX_M
1000 mt
7_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.045
0.020
!!
!!
!!
!!
!!
44.44%
€
NL
EX_M
1000 NAC
7_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
305.000
223.000
!!
!!
!!
!!
!!
73.11%
UV
NL
EX_M
1000 mt
7_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6777.778
11150.000
!!
!!
!!
!!
!!
164.51%
Q
NL
EX_X
1000 mt
7_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.011
0.007
!!
!!
!!
!!
!!
63.64%
€
NL
EX_X
1000 NAC
7_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
21.000
37.000
!!
!!
!!
!!
!!
176.19%
UV
NL
EX_X
1000 mt
7_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1909.091
5285.714
!!
!!
!!
!!
!!
276.87%
Q
NL
EX_M
1000 mt
8
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
16.911
20.914
!!
!!
!!
!!
!!
123.67%
€
NL
EX_M
1000 NAC
8
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
21477.146
26262.000
!!
!!
!!
!!
!!
122.28%
UV
NL
EX_M
1000 mt
8
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1270.028
1255.714
!!
!!
!!
!!
!!
98.87%
Q
NL
EX_X
1000 mt
8
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.247
0.347
!!
!!
!!
!!
!!
140.49%
€
NL
EX_X
1000 NAC
8
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
169.000
252.000
!!
!!
!!
!!
!!
149.11%
UV
NL
EX_X
1000 mt
8
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
684.211
726.225
!!
!!
!!
!!
!!
106.14%
Q
NL
EX_M
1000 mt
8_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
20.703
20.589
!!
!!
!!
!!
!!
99.45%
€
NL
EX_M
1000 NAC
8_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
51590.000
51059.000
!!
!!
!!
!!
!!
98.97%
UV
NL
EX_M
1000 mt
8_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2491.909
2479.916
!!
!!
!!
!!
!!
99.52%
Q
NL
EX_X
1000 mt
8_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.174
5.527
!!
!!
!!
!!
!!
3176.44%
€
NL
EX_X
1000 NAC
8_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
188.000
2537.000
!!
!!
!!
!!
!!
1349.47%
UV
NL
EX_X
1000 mt
8_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1080.460
459.019
!!
!!
!!
!!
!!
42.48%
Q
NL
EX_M
1000 mt
8_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
20.677
20.579
!!
!!
!!
!!
!!
99.53%
€
NL
EX_M
1000 NAC
8_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
51569.000
51041.000
!!
!!
!!
!!
!!
98.98%
UV
NL
EX_M
1000 mt
8_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2494.027
2480.247
!!
!!
!!
!!
!!
99.45%
Q
NL
EX_X
1000 mt
8_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.083
0.354
!!
!!
!!
!!
!!
426.51%
€
NL
EX_X
1000 NAC
8_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
137.000
1450.000
!!
!!
!!
!!
!!
1058.39%
UV
NL
EX_X
1000 mt
8_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1650.602
4096.045
!!
!!
!!
!!
!!
248.15%
Q
NL
EX_M
1000 mt
9
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.026
0.010
!!
!!
!!
!!
!!
38.46%
€
NL
EX_M
1000 NAC
9
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
21.000
18.000
!!
!!
!!
!!
!!
85.71%
UV
NL
EX_M
1000 mt
9
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
807.692
1800.000
!!
!!
!!
!!
!!
222.86%
Q
NL
EX_X
1000 mt
9
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.091
5.173
!!
!!
!!
!!
!!
5684.62%
€
NL
EX_X
1000 NAC
9
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
51.000
1087.000
!!
!!
!!
!!
!!
2131.37%
UV
NL
EX_X
1000 mt
9
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
560.440
210.130
!!
!!
!!
!!
!!
37.49%
Q
NL
EX_M
1000 mt
10
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
147.941
570.000
!!
!!
!!
!!
!!
385.29%
€
NL
EX_M
1000 NAC
10
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
28674.000
56036.000
!!
!!
!!
!!
!!
195.42%
UV
NL
EX_M
1000 mt
10
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
193.821
98.309
!!
!!
!!
!!
!!
50.72%
Q
NL
EX_X
1000 mt
10
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1211.792
1243.140
!!
!!
!!
!!
!!
102.59%
€
NL
EX_X
1000 NAC
10
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
135784.000
123172.000
!!
!!
!!
!!
!!
90.71%
UV
NL
EX_X
1000 mt
10
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
112.052
99.081
!!
!!
!!
!!
!!
88.42%
Q
NL
EX_M
1000 mt
10_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
217.901
240.186
!!
!!
!!
!!
!!
110.23%
€
NL
EX_M
1000 NAC
10_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
189508.000
194272.000
!!
!!
!!
!!
!!
102.51%
UV
NL
EX_M
1000 mt
10_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
869.698
808.840
!!
!!
!!
!!
!!
93.00%
Q
NL
EX_X
1000 mt
10_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
383.238
575.580
!!
!!
!!
!!
!!
150.19%
€
NL
EX_X
1000 NAC
10_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
370018.000
529254.000
!!
!!
!!
!!
!!
143.03%
UV
NL
EX_X
1000 mt
10_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
965.504
919.514
!!
!!
!!
!!
!!
95.24%
Q
NL
EX_M
1000 mt
10_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
47.932
75.902
!!
!!
!!
!!
!!
158.35%
€
NL
EX_M
1000 NAC
10_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
36500.000
48086.000
!!
!!
!!
!!
!!
131.74%
UV
NL
EX_M
1000 mt
10_1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
761.495
633.527
!!
!!
!!
!!
!!
83.20%
Q
NL
EX_X
1000 mt
10_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
137.877
226.047
!!
!!
!!
!!
!!
163.95%
€
NL
EX_X
1000 NAC
10_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
125770.000
191031.000
!!
!!
!!
!!
!!
151.89%
UV
NL
EX_X
1000 mt
10_1_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
912.190
845.094
!!
!!
!!
!!
!!
92.64%
Q
NL
EX_M
1000 mt
10_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
42.865
67.000
!!
!!
!!
!!
!!
156.30%
€
NL
EX_M
1000 NAC
10_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
22533.000
29057.000
!!
!!
!!
!!
!!
128.95%
UV
NL
EX_M
1000 mt
10_1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
525.674
433.687
!!
!!
!!
!!
!!
82.50%
Q
NL
EX_X
1000 mt
10_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
5.738
5.675
!!
!!
!!
!!
!!
98.90%
€
NL
EX_X
1000 NAC
10_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2276.000
2194.000
!!
!!
!!
!!
!!
96.40%
UV
NL
EX_X
1000 mt
10_1_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
396.654
386.608
!!
!!
!!
!!
!!
97.47%
Q
NL
EX_M
1000 mt
10_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.548
1.300
!!
!!
!!
!!
!!
237.23%
€
NL
EX_M
1000 NAC
10_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1094.000
1510.000
!!
!!
!!
!!
!!
138.03%
UV
NL
EX_M
1000 mt
10_1_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1996.350
1161.538
!!
!!
!!
!!
!!
58.18%
Q
NL
EX_X
1000 mt
10_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
14.445
6.039
!!
!!
!!
!!
!!
41.81%
€
NL
EX_X
1000 NAC
10_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
6392.000
2570.000
!!
!!
!!
!!
!!
40.21%
UV
NL
EX_X
1000 mt
10_1_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
442.506
425.567
!!
!!
!!
!!
!!
96.17%
Q
NL
EX_M
1000 mt
10_1_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2.469
3.191
!!
!!
!!
!!
!!
129.24%
€
NL
EX_M
1000 NAC
10_1_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4027.000
4870.000
!!
!!
!!
!!
!!
120.93%
UV
NL
EX_M
1000 mt
10_1_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1631.025
1526.167
!!
!!
!!
!!
!!
93.57%
Q
NL
EX_X
1000 mt
10_1_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
31.094
78.532
!!
!!
!!
!!
!!
252.56%
€
NL
EX_X
1000 NAC
10_1_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
28956.000
63188.000
!!
!!
!!
!!
!!
218.22%
UV
NL
EX_X
1000 mt
10_1_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
931.241
804.615
!!
!!
!!
!!
!!
86.40%
Q
NL
EX_M
1000 mt
10_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2.050
4.411
!!
!!
!!
!!
!!
215.17%
€
NL
EX_M
1000 NAC
10_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
8846.000
12649.000
!!
!!
!!
!!
!!
142.99%
UV
NL
EX_M
1000 mt
10_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4315.122
2867.604
!!
!!
!!
!!
!!
66.45%
Q
NL
EX_X
1000 mt
10_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
86.600
135.801
!!
!!
!!
!!
!!
156.81%
€
NL
EX_X
1000 NAC
10_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
88146.000
123079.000
!!
!!
!!
!!
!!
139.63%
UV
NL
EX_X
1000 mt
10_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1017.852
906.319
!!
!!
!!
!!
!!
89.04%
Q
NL
EX_M
1000 mt
10_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2.635
0.553
!!
!!
!!
!!
!!
20.99%
€
NL
EX_M
1000 NAC
10_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
7655.000
1550.000
!!
!!
!!
!!
!!
20.25%
UV
NL
EX_M
1000 mt
10_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2905.123
2802.893
!!
!!
!!
!!
!!
96.48%
Q
NL
EX_X
1000 mt
10_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1.884
5.116
!!
!!
!!
!!
!!
271.55%
€
NL
EX_X
1000 NAC
10_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4855.000
10411.000
!!
!!
!!
!!
!!
214.44%
UV
NL
EX_X
1000 mt
10_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2576.964
2034.988
!!
!!
!!
!!
!!
78.97%
Q
NL
EX_M
1000 mt
10_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
167.089
160.660
!!
!!
!!
!!
!!
96.15%
€
NL
EX_M
1000 NAC
10_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
141130.000
136203.000
!!
!!
!!
!!
!!
96.51%
UV
NL
EX_M
1000 mt
10_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
844.640
847.772
!!
!!
!!
!!
!!
100.37%
Q
NL
EX_X
1000 mt
10_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
242.051
341.468
!!
!!
!!
!!
!!
141.07%
€
NL
EX_X
1000 NAC
10_3_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
191862.000
279975.000
!!
!!
!!
!!
!!
145.93%
UV
NL
EX_X
1000 mt
10_3_1
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
792.651
819.916
!!
!!
!!
!!
!!
103.44%
Q
NL
EX_M
1000 mt
10_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
18.628
32.272
!!
!!
!!
!!
!!
173.24%
€
NL
EX_M
1000 NAC
10_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
10370.000
13930.000
!!
!!
!!
!!
!!
134.33%
UV
NL
EX_M
1000 mt
10_3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
556.689
431.644
!!
!!
!!
!!
!!
77.54%
Q
NL
EX_X
1000 mt
10_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
157.860
188.484
!!
!!
!!
!!
!!
119.40%
€
NL
EX_X
1000 NAC
10_3_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
77403.000
79696.000
!!
!!
!!
!!
!!
102.96%
UV
NL
EX_X
1000 mt
10_3_2
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
490.327
422.826
!!
!!
!!
!!
!!
86.23%
Q
NL
EX_M
1000 mt
10_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
124.079
113.950
!!
!!
!!
!!
!!
91.84%
€
NL
EX_M
1000 NAC
10_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
105993.000
104343.000
!!
!!
!!
!!
!!
98.44%
UV
NL
EX_M
1000 mt
10_3_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
854.238
915.691
!!
!!
!!
!!
!!
107.19%
Q
NL
EX_X
1000 mt
10_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
50.571
99.804
!!
!!
!!
!!
!!
197.35%
€
NL
EX_X
1000 NAC
10_3_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
73745.000
142294.000
!!
!!
!!
!!
!!
192.95%
UV
NL
EX_X
1000 mt
10_3_3
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1458.247
1425.734
!!
!!
!!
!!
!!
97.77%
Q
NL
EX_M
1000 mt
10_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
23.899
13.497
!!
!!
!!
!!
!!
56.48%
€
NL
EX_M
1000 NAC
10_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
24213.000
17219.000
!!
!!
!!
!!
!!
71.11%
UV
NL
EX_M
1000 mt
10_3_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1013.139
1275.765
!!
!!
!!
!!
!!
125.92%
Q
NL
EX_X
1000 mt
10_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
25.841
38.627
!!
!!
!!
!!
!!
149.48%
€
NL
EX_X
1000 NAC
10_3_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
36633.000
51596.000
!!
!!
!!
!!
!!
140.85%
UV
NL
EX_X
1000 mt
10_3_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1417.631
1335.750
!!
!!
!!
!!
!!
94.22%
Q
NL
EX_M
1000 mt
10_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.483
0.941
!!
!!
!!
!!
!!
194.82%
€
NL
EX_M
1000 NAC
10_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
554.000
711.000
!!
!!
!!
!!
!!
128.34%
UV
NL
EX_M
1000 mt
10_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1146.998
755.579
!!
!!
!!
!!
!!
65.87%
Q
NL
EX_X
1000 mt
10_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
7.779
14.553
!!
!!
!!
!!
!!
187.08%
€
NL
EX_X
1000 NAC
10_4
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
4081.000
6389.000
!!
!!
!!
!!
!!
156.55%
UV
NL
EX_X
1000 mt
10_4
ERROR:#DIV/0!
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
524.618
439.016
!!
!!
!!
!!
!!
83.68%
TS-EU2
%
Min:
80%
Max:
120%
Notes
EU2
Country
Flow
Unit
Product
2015
2016
2017
2018
2019
2019
2020
15/16
16/17
17/18
18/19
19/19
19/20
2015
2016
2017
2018
NL
P
1000 m3
EU2_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1283.66
1203.85
!!
!!
!!
!!
!!
93.78%
NL
P
1000 m3
EU2_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
573.692
517.825
!!
!!
!!
!!
!!
90.26%
NL
P
1000 m3
EU2_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
709.968
686.025
!!
!!
!!
!!
!!
96.63%
NL
P
1000 m3
EU2_1_1
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
500.6274
469.5015
!!
!!
!!
!!
!!
93.78%
NL
P
1000 m3
EU2_1_1_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
223.73988
201.95175
!!
!!
!!
!!
!!
90.26%
NL
P
1000 m3
EU2_1_1_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
276.88752
267.54975
!!
!!
!!
!!
!!
96.63%
NL
P
1000 m3
EU2_1_2
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
192.549
180.5775
!!
!!
!!
!!
!!
93.78%
NL
P
1000 m3
EU2_1_2_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
86.0538
77.67375
!!
!!
!!
!!
!!
90.26%
NL
P
1000 m3
EU2_1_2_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
106.4952
102.90375
!!
!!
!!
!!
!!
96.63%
NL
P
1000 m3
EU2_1_3
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
590.4836
553.771
!!
!!
!!
!!
!!
93.78%
NL
P
1000 m3
EU2_1_3_C
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
263.89832
238.1995
!!
!!
!!
!!
!!
90.26%
NL
P
1000 m3
EU2_1_3_NC
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
326.58528
315.5715
!!
!!
!!
!!
!!
96.63%
Annex1 | JQ1-Corres.
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
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017 or SITC Rev.4 code is applicable.
For instance "ex4401.40" under product 3.2 means that only a part of HS2017 code 4401.40 refers to wood residues coming from wood processing (the other part coded under 4401.40 is recovered post-consumer wood).
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.
OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE
48.14/16/17/20/21/22/23
48.14/16/17/20/21/22/23
641.94 642.2 642.3 642.42/45/91/93/99 892.81
14.5.1
of which: PRINTING AND WRITING PAPER, READY FOR USE
ex4823.90
ex4823.90
ex642.99
14.5.2
of which: ARTICLES, MOULDED OR PRESSED FROM PULP
4823.70
4823.70
ex642.99
14.5.3
of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
4823.20
4823.20
642.45
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 or SITC Rev.4 code is applicable.
For instance "ex811.00" under "Prefabricated buildings of wood" means that only a part of SITC code 811.00 refers to buildings prefabricated from wood, as that code does not distinguish between the materials buildings were prefabricated from.
In SITC Rev.4, if only 4 digits are shown, then all subheadings at lower degrees of aggregation are included (for example, 892.2 includes 892.21 and 892.29).
