GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
A New Definition and Measurement
of Extreme Poverty
Michaël Sicsic (Insee)
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Introduction
– Poverty definitions harmonized at the European level are
based either
● on low income
● on the existence of several material or social deprivations
– But poverty is multidimensional, and there is no shared
definition of extreme poverty, despite its importance in the
social and policy debate.
⇒ How to measure extreme poverty ?
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Methodology for people living in ordinary housing
We define extreme poverty as the combination of:
– Low income :
● Household standard of living below 50% of the median
● Using administrative data in France (in SILC)
– Severe material and social deprivation in daily life:
● The individual suffers at least 7 basic deprivations from a
questionnaire of 13 deprivations relating to living conditions
● Using SILC data
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Methodology for people living in ordinary housing
Share of the French population concerned in 2018 according to
the definition of poverty
Champ : people living in ordinary housing in France except Mayotte
Source : Insee, enquête Statistiques sur les ressources et les conditions de vie (SRCV) 2018
Severe monetary
poverty: standard of
living below 50% of
the median
standard of living
(930 euros per
month)
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Methodology for people living in ordinary housing
Share of the French population concerned in 2018 according to
the definition of poverty
Severe monetary
poverty: standard of
living below 50% of
the median
standard of living
(930 euros per
month)
7 material and
social
deprivations
among 13
Champ : people living in ordinary housing in France except Mayotte
Source : Insee, enquête Statistiques sur les ressources et les conditions de vie (SRCV) 2018
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Methodology for people living in ordinary housing
Share of the French population concerned in 2018 according to
the definition of poverty
7 material and social
deprivations among
13
Champ : people living in ordinary housing in France except Mayotte
Source : Insee, enquête Statistiques sur les ressources et les conditions de vie (SRCV) 2018
Severe monetary
poverty: standard of
living below 50% of
the median
standard of living
(930 euros per
month)
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Better measure of extreme poverty
than a standard of living threshold of 40% of the median
The threshold at 40% of the median does not make it possible to target a more
intense, multidimensional and more persistent poverty than income poverty at the
60% threshold the extreme poverty measure does⇒
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Methodology for for people living in non ordinary housing
Different methods and sources used for people in non ordinary housing :
– People in mobile homes & homeless
● Using census and specific survey
– People living in community housing
● Elderly in retirement homes: CARE‑Institutions survey
● Young in a university residence or hostel: ENRJ survey
● Others (workers' hostels, housing for persons in need of medical
care, military establishments): gender and age poverty rates
calculated in the main data on poverty are applied to the gender and
age structure of each community (census)
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
About 2 million people in extreme poverty in 2018 in France
– 1,9 million people living in extreme poverty
● 1,8 million in ordianry housing
● 153 000 homeless or in mobile home
– 165 000 people in communities likely to be in extrem poverty
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Who are they ? (in ordinary housing)
● 35% are children ; 7% are over 65 years old
● Among adults living in ordinary housing and experiencing severe
poverty, women are more numerous
● 25% of people in extreme poverty live in a single-parent family
(compared to 10% in the general population)
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Very low resources
– Only 13% of people in extreme poverty are no longer in
poverty 3 years later
– Half of the people living in extreme poverty have a standard
of living below 800 euros
– 48% have no savings
– 79% do not own a home
– More than 40% of adults living in extreme poverty cannot ask
for financial or material assistance from a relative
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Extreme poverty among people in ordinary housing has been relatively
stable since 2010
The previous definition of
material and social
deprivations allows us to
compute extreme poverty
indicator before 2013
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Extreme poverty very low in Nordic countries
● High in Romania and
Bulgaria (around 10%).
● France ranks in
intermediate position
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Conclusion
● A new measure of extreme poverty, which better reflects extreme
poverty than a threshold at 40%
● The innovation is threefold:
● it provides for the first time figures and characteristics of people in
extreme poverty,
● it expends the analysis, beyond an income approach
● it uses different statistical sources in order to encompass the whole
French population, not only people living in ordinary households.
● In our study, France ranks in intermediate position and extreme
poverty is very low in Nordic countries. But this European
comparison is computed only for people living in ordinary housing
⇒ It would be thus interesting to know more about extreme poverty in
other countries.
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
THANK YOU !
APPENDIX
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Very frequent deprivation
Champ : Personnes vivant en logement ordinaire
en France hors Mayotte
Source : Insee, enquête Statistiques sur les
ressources et les conditions de vie (SRCV) 2018
GROUP OF EXPERTS ON MEASURING POVERTY AND INEQUALITY – EXTREME POVERTY 8-9 DEC. 2022
Extreme poverty often persists over a long time in France
Only 13% of people in extreme poverty are no longer in
poverty 3 years later
Transmitted by the expert from France Informal document GRVA-14-22
14th GRVA, 26–30 September 2022
Provisional agenda item 11
1
National regulatory framework for deployment
2019 Mobility Law + 2021 Ordinance and Decree + 3 orders (intervention operator and approved qualified bodies)
Definitions
automation = delegation to a driving system (partial if handover requests anytime)
automated road transport system (ARTS) = automated vehicles + remote capabilities
remote intervention = capabilities to order and acquit automated manoeuvers
Liability : automated system responsible if active (unless driver fails to takeover)
Autorisation process for ARTS (highly or totally automated vehicles integrated in a technical system, deployed on predefined route or zone)
Vehicle
System ↔ Zone ↔ Operation
Service
Type approval Safety demonstration + Third party advice Commissioning Monitoring
Entry into force : 1st September 2022
Préciser différence entre highly et totally
8.1. Véhicule partiellement automatisé : véhicule équipé d'un système de conduite automatisé exerçant le contrôle dynamique du véhicule dans un domaine de conception fonctionnelle particulier, devant effectuer une demande de reprise en main pour répondre à certains aléas de circulation ou certaines défaillances pendant une manœuvre effectuée dans son domaine de conception fonctionnelle ;
8.2. Véhicule hautement automatisé : véhicule équipé d'un système de conduite automatisé exerçant le contrôle dynamique d'un véhicule dans un domaine de conception fonctionnelle particulier, pouvant répondre à tout aléa de circulation ou défaillance, sans exercer de demande de reprise en main pendant une manœuvre effectuée dans son domaine de conception fonctionnelle. Ce véhicule peut être intégré dans un système technique de transport routier automatisé tel que défini au 1° de l'article R. 3151-1 du code des transports ;
8.3. Véhicule totalement automatisé : véhicule équipé d'un système de conduite automatisé exerçant le contrôle dynamique d'un véhicule pouvant répondre à tout aléa de circulation ou défaillance, sans exercer de demande de reprise en main pendant une manœuvre dans le domaine de conception technique du système technique de transport routier automatisé auquel ce véhicule est intégré, tels que définis aux 1° et 4° de l'article R. 3151-1 du code des transports
2
National policy for deployment
Order of 2 August 2022 implementing Article R. 3152-3 of the Transport Code on the authorisation of remote participants in road transport systems
Order of 5 August 2022 taken in application of article R. 3152-24 of the transport code relating to the content of the opinions of approved qualified organisations
Decree No. 2022-1034 of July 21, 2022 publishing the amendment to the Vienna International Convention on Road Traffic of 8 November 1968, adopted in Geneva on 14 January 2022
UN or EU Regulation for vehicles equipped with automated driving systems (ADS) international categories (M and N)
French order on national categories (urban shuttles)
Technical system validation
If the system includes a remote operator, UN or EU ADS regulation to specifie capabilities, comparable to the French ARTS decree
French ARTS decree sets procedures and roles
ARTS validation
1.
2.
3.
Question sur bloc 1 « external capabilities » : capabilities of the vehicle to receive and emit signal to infrastructure (lights, supervision center, …) or other vehicles to extend capabilities
UN or EU regulation to specifie capabilities : explain
5
FR – UN/EU : use cases covered by regulation
French decree (system+service-oriented)
UN or EU ADS Regulation (vehicle-oriented)
WP29/GRVA FRAV work
Automated road transport system (ARTS)
Highly or fully automated vehicles and their technical installations (technical system)
Deployed in a predefined route or zone for a transport service, both public and private
For the carriage of passengers
NB : freight and logistics = forthcoming
Vehicles type approval
Highly or fully automated vehicles, including dual modes vehicles
Fully automated vehicles designed and constructed for use on a predined area or on a predefined route with fixed start and end points of a journey/trip
For the carriage of passengers or goods
6
FR – UN/EU : safety requirements and demonstration
UN VMAD or EU ADS regulation sets requirements on safety, demonstration methods (tests) and documentation for automated vehicles
FR regulation sets
drivers / remote operator roles and responsabilities
general safety requirements on automated systems
requirements on safety demonstration procedures
Safety demonstration guidance will need to be developped accordingly, e.g :
Scenario-based approach for validation
Reference safety target
Remote intervention functions characterisation
Route or zone characterisation
….
Safety standards for automated transport systems
1/3: published documents
Theme / title
Document
State
Remarks (EN versions for recent methodological documents)
Will incorporate elements from the ODD document and the "route cutting" study report.
To be integrated into the STRMTG GAME safety demonstration guide (see below)
Characterisation of remote intervention functions
Methodological framework document DGITM
Q3 2022
To be integrated into the STRMTG GAME safety demonstration guide (see below)
To be included in the STRMTG GAME safety demonstration guide (see below)
Use of scenarios in the safety demonstration
Q4 2022
Safety standards for automated transport systems
3/3: forthcoming guidance
Theme / title
Document
Deadline
Remarks
GAME safety demonstration
Definitions from the glossary
Safety demonstration method, including:
Pathway decomposition
Functional decomposition
Hazards and high level requirements
Transmitted by the expert from France Informal document GRVA-14-22
14th GRVA, 26–30 September 2022
Provisional agenda item 11
National regulatory framework for deployment
• 2019 Mobility Law + 2021 Ordinance and Decree + 3 orders (intervention
operator and approved qualified bodies)
• Definitions
• automation = delegation to a driving system (partial if handover requests anytime)
• automated road transport system (ARTS) = automated vehicles + remote
capabilities
• remote intervention = capabilities to order and acquit automated manoeuvers
• Liability : automated system responsible if active (unless driver fails to
takeover)
• Autorisation process for ARTS (highly or totally automated vehicles integrated
in a technical system, deployed on predefined route or zone)
Vehicle System ↔ Zone ↔ Operation Service
Type approval Safety demonstration + Third party advice Commissioning Monitoring
Entry into force : 1st September 2022
National policy for deployment
• Order of 2 August 2022 implementing Article R. 3152-3 of the Transport Code on the
authorisation of remote participants in road transport systems
• Order of 5 August 2022 taken in application of article R. 3152-24 of the transport code
relating to the content of the opinions of approved qualified organisations
• Decree No. 2022-1034 of July 21, 2022 publishing the amendment to the Vienna
International Convention on Road Traffic of 8 November 1968, adopted in Geneva on 14
January 2022
Vehicle type approval
• UN or EU Regulation for vehicles
equipped with automated driving
systems (ADS) international categories
(M and N)
• French order on national categories
(urban shuttles)
Technical system
validation
• If the system includes a remote
operator, UN or EU ADS regulation to
specifie capabilities, comparable to the
French ARTS decree
• French ARTS decree sets procedures
and roles
ARTS validation
1.
2.
3.
FR – UN/EU : use cases covered by regulation
French decree (system+service-
oriented)
UN or EU ADS Regulation (vehicle-oriented)
WP29/GRVA FRAV work
Automated road transport system (ARTS)
• Highly or fully automated vehicles and
their technical installations (technical
system)
• Deployed in a predefined route or zone
for a transport service, both public and
private
• For the carriage of passengers
• NB : freight and logistics =
forthcoming
Vehicles type approval
• Highly or fully automated vehicles, including
dual modes vehicles
• Fully automated vehicles designed and
constructed for use on a predined area or on
a predefined route with fixed start and end
points of a journey/trip
• For the carriage of passengers or goods
FR – UN/EU : safety requirements and demonstration
UN VMAD or EU ADS regulation sets
requirements on safety,
demonstration methods (tests) and
documentation for automated
vehicles
FR regulation sets
• drivers / remote operator roles and responsabilities
• general safety requirements on automated systems
• requirements on safety demonstration procedures
Safety demonstration guidance will need to be developped accordingly,
e.g :
• Scenario-based approach for validation
• Reference safety target
• Remote intervention functions characterisation
• Route or zone characterisation
• ….
Safety standards for automated transport systems
1/3: published documents
Theme / title Document State Remarks (EN versions for recent methodological
documents)
Q3 2022
Will incorporate elements from the ODD document and
the "route cutting" study report.
To be integrated into the STRMTG GAME safety
demonstration guide (see below)
Characterisation of remote
intervention functions
Methodological
framework document
DGITM
Q3 2022 To be integrated into the STRMTG GAME safety
demonstration guide (see below)
Submitted by the expert from France Informal documentGRVA-14-21
14th GRVA, 26–30 September 2022
Provisional agenda item 7
Proposal for amendments to ECE/TRANS/WP.29/GRVA/2022/22 (Proposal for a supplement to the 02 series of amendments to UN Regulation No. 131)
This proposal aims to amend the French and English versions of ECE/TRANS/WP.29/GRVA/2022/22 submitted by the experts from the Informal Working Group on Advanced Emergency Braking Systems of Heavy-Duty Vehicles (AEBS-HDV).
The wording of the English proposal conduct to a confused translation in French.
The additions and deletions are shown in red bold text to facilitate identification of these proposed changes within the previous proposal.
I. Proposal
The English version of ECE/TRANS/WP.29/GRVA/2022/22 reads:
Paragraph 5.4.1.1., amended to read:
“5.4.1.1. The AEBS function shall be automatically reinstated at the initiation of each new ignitionengine start/run cycleengine start or run cycle, as relevant. This requirement does not apply when a new engine start/run cycle engine start or run cycle, as relevant, is performed automatically, e.g. the operation of a stop/start system.”
The French version ECE/TRANS/WP.29/GRVA/2022/22 reads:
Paragraphe 5.4.1.1, lire :
« 5.4.1.1 La fonction AEBS doit être réactivée automatiquement chaque fois quele contacteur de mise en marche du véhicule est actionné, à chaque nouveau démarrage du moteur à chaque nouveau démarrage du moteur ou à chaque nouveau cycle de roulage selon le cas.
Cette prescription n’est pas applicable aux redémarrages automatiques du moteur liés, par exemple, au fonctionnement d’un système arrêt-démarrage automatique.
Cette prescription n’est pas applicable lorsqu’un démarrage du moteur ou un nouveau cycle de roulage, selon le cas, est effectué automatiquement, comme par exemple, par le fonctionnement d’un système arrêt-démarrage automatique. ».
II. Justification
The French and English versions of ECE/TRANS/WP29/GRVA/2022/22 proposed for consideration at this 14th session of GRVA do not reflect the conclusion of last GRVA session concerning the interpretation of chapter 5.4.1.1..
During the discussion in GRVA 13th session of informal document GRVA-13-33 - (OICA) AEBS Regulation - Common interpretation of “new engine start/run cycle”, it was recognized that the wording of “new engine start/run cycle” may conduct to confusion, and that interpretation would follow the first proposal of OICA. The report of GRVA 13th session (ECE/TRANS/WP.29/GRVA/13) referred to in paragraph 78 mentioned : “GRVA supported the interpretation 1 referred to in that document and requested that proper attention is given to the French translation of the corresponding text in the Regulation”..
However, French version did not reflect this interpretation.
That’s why France suggests to amend both versions in order to be sure that the requirement cannot be interpreted in another way than what was agreed during 13th session of GRVA.
If this solution is agreed by GRVA, France suggests to also correct UN Regulation No. 152 in the same way.
Submitted by the expert from France Informal document GRVA-14-21
14th GRVA, 26–30 September 2022
Provisional agenda item 7
Proposal for amendments to
ECE/TRANS/WP.29/GRVA/2022/22 (Proposal for a supplement
to the 02 series of amendments to UN Regulation No. 131)
This proposal aims to amend the French and English versions of ECE/TRANS/WP.29/GRVA/2022/22 submitted
by the experts from the Informal Working Group on Advanced Emergency Braking Systems of Heavy-Duty
Vehicles (AEBS-HDV).
The wording of the English proposal conduct to a confused translation in French.
The additions and deletions are shown in red bold text to facilitate identification of these proposed changes within
the previous proposal.
I. Proposal
The English version of ECE/TRANS/WP.29/GRVA/2022/22 reads :
Paragraph 5.4.1.1., amended to read:
“5.4.1.1. The AEBS function shall be automatically reinstated at the initiation of each new
ignition engine start/run cycle engine start or run cycle, as relevant. This
requirement does not apply when a new engine start/run cycle engine start or
run cycle, as relevant, is performed automatically, e.g. the operation of a
stop/start system.”
The French version ECE/TRANS/WP.29/GRVA/2022/22 reads :
Paragraphe 5.4.1.1, lire :
« 5.4.1.1 La fonction AEBS doit être réactivée automatiquement chaque fois que le contacteur
de mise en marche du véhicule est actionné, à chaque nouveau démarrage du moteur à chaque
nouveau démarrage du moteur ou à chaque nouveau cycle de roulage selon le cas.
Cette prescription n’est pas applicable aux redémarrages automatiques du moteur liés, par
exemple, au fonctionnement d’un système arrêt-démarrage automatique.
Cette prescription n’est pas applicable lorsqu’un démarrage du moteur ou un nouveau cycle
de roulage, selon le cas, est effectué automatiquement, comme par exemple, par le
fonctionnement d’un système arrêt-démarrage automatique. ».
II. Justification
The French and English versions of ECE/TRANS/WP29/GRVA/2022/22 proposed for consideration at this
14th session of GRVA do not reflect the conclusion of last GRVA session concerning the interpretation of
chapter 5.4.1.1..
During the discussion in GRVA 13th session of informal document GRVA-13-33 - (OICA) AEBS Regulation
- Common interpretation of “new engine start/run cycle”, it was recognized that the wording of “new engine
start/run cycle” may conduct to confusion, and that interpretation would follow the first proposal of OICA.
The report of GRVA 13th session (ECE/TRANS/WP.29/GRVA/13) referred to in paragraph 78 mentioned :
“GRVA supported the interpretation 1 referred to in that document and requested that proper attention is
given to the French translation of the corresponding text in the Regulation”..
However, French version did not reflect this interpretation.
That’s why France suggests to amend both versions in order to be sure that the requirement cannot be
interpreted in another way than what was agreed during 13th session of GRVA.
If this solution is agreed by GRVA, France suggests to also correct UN Regulation No. 152 in the same way.
Census in France: impact of the 2021
census delay on outcomes
Muriel Barlet
Head of demography department
en partenariat
avec votre commune
• Principles of the rolling census in France
• Why did we delay the 2021 data collection ?
• How did we manage to produce population estimates without data
collection?
• What do we learn for the future?
Census in France: impact of the 2021 census delay
on outcomes
en partenariat
avec votre commune
Principles of the rolling census in France
en partenariat
avec votre commune
⚫Principles of the rolling census in France
• A process based on 3 kinds of data :
− Data from the enumeration of a part of the population each year
(Annual census survey ACS)
− Data from the register of residential buildings : the sampling frame
for large municipalities
− Local tax data on dwellings and their occupants
− yield detailed results every year at all relevant geographical levels
(from country to municipalities, even neighbourhood level)
en partenariat
avec votre commune
⚫Why are population estimates from the census
very important ?
Population estimates produced from the census are
“official” municipal populations :
⚫ It is a reference for about 350 measures mentioned in the
law or decrees
⚫ It determines the annual grant from state to municipalities,
size of municipal council, authorization to set up a
pharmacy...
Insee had to produce population
estimates every year …. even without a census survey
en partenariat
avec votre commune
⚫How is the annual data collection carried out ?
⚫ In small municipalities (with less than 10,000
inhabitants)
⚫ Every year : 1/5 of municipalities, all the inhabitants
⚫ All the municipalities, all the inhabitants in a five year
cycle
⚫ In large municipalities (10,000 inhabitants and more)
⚫ Every year : 8 % of the inhabitants in each municipality
(sampling in the register of residential buildings)
⚫ 40 % of the inhabitants during a five year cycle
en partenariat
avec votre commune
⚫The organisation of an annual census survey
⚫ 8,000 municipalities are concerned each year (1,000
large, 7,000 small ones)
⚫ 5 billion dwellings and 8 billion inhabitants are
enumerated
⚫ 33,000 people are hired by municipalities to carry out
the data collection
⚫ 400 people from insee work during the collection
period to supervise and control the data collecion
⚫ A very large operation each year
en partenariat
avec votre commune
⚫Reference period
⚫ 1 January of the median year of the five year cycle
⚫ For the quality of population estimates
⚫ For a fair treatment between municipalities
⚫ Populations are disseminated at the end of year N+2
⚫ For example, in December 2022 population at January 1 2020 will
be released
en partenariat
avec votre commune
⚫Method for population estimates in small
municipalities
⚫ Depends on the date of the last data collection :
⚫ Enumeration before the reference period : population
extrapolation, used growth rate of number of dwellings
in tax data and a decohabitation rate
⚫ Enumeration during reference period : results of
enumeration
⚫ Enumeration after reference period : linear
interpolation between last disseminated population and
enumeration
en partenariat
avec votre commune
⚫Method for population estimates in small
municipalities
⚫ RG : rotation group
en partenariat
avec votre commune
⚫Method for population estimates in large
municipalities
⚫ Population = multiplication of
⚫ the number of dwellings in the register of residential
buildings
⚫ the average number of persons by dwelling,
estimated from the 5 last annual census surveys
en partenariat
avec votre commune
Why did we delay de 2021 data collection ?
en partenariat
avec votre commune
⚫A worrying health situation
⚫ In autumn 2020 :
⚫ A second lockdown during survey preparation
(November 2020)
⚫ Vaccination not started yet
⚫ Uncertainty about the health situation in early 2021
⚫ Reluctance of some municipalities to carry out the
survey in January-February 2021, despite protocol
adaptation to reduce physical contact
en partenariat
avec votre commune
⚫Three options for the census
⚫ Maintaining the census in January-February 2021 :
dismissed because incompatible with a deteriorate health
situation
⚫ Delaying the census to the spring 2021 : dismissed
because of uncertainty of health situation (a third
lockdown...)
⚫ Postponing the census to 2022 :
⚫ Selected option
⚫ Despite the need to disseminate results each
year
en partenariat
avec votre commune
How did we manage to produce population estimates
without data collection ?
en partenariat
avec votre commune
⚫Principles for adaptation of the methods
⚫ In small municipalities :
⚫ Increased use of administrative data
⚫ In large municipalities :
⚫ The register of residential buildings is always available and up
to date: the number of dwellings is known even if the survey is
postponed
⚫ Extension of past trends
en partenariat
avec votre commune
⚫ In small municipalities
⚫ The gap between two surveys is increased by one year : from 5 to 6
years.
⚫ For estimating the population the year the survey is postponed :
extrapolation with tax data.
en partenariat
avec votre commune
⚫ In small municipalities
⚫ Each year :
⚫ Adaptation of the method for only 20 % of municipalities
⚫ Quality of the produced data :
⚫ Simulation of the absence of an ACS in the past and
comparison between the adapted method and the disseminated
data
⚫ The estimated population is very close to disseminated one :
0.05% difference.
⚫ The deviation at the municipal level in absolute terms is less
than 2 % for 92 % of municipalities.
en partenariat
avec votre commune
⚫ In large municipalities
⚫ Two components to the estimate :
⚫ Number of dwellings : always available thanks to the register of
residential buildings
⚫ Average number of persons per dwelling :
⚫ Usually : the average of the last 5 ACS
⚫ Creation of a pseudo 2021 ACS by prolongation of past
trends : rate of main residences, number of persons per
main residences. Calibration of 2016 ACS on 2021 targets.
⚫ Quality :
⚫ For 92 % of municipalities, the population of the adapted
method lies within the 95 % confidence interval of the
disseminated population
en partenariat
avec votre commune
⚫Socio-demographic data
⚫ Despite the postponement of 2021 survey, socio-
demographic data are also available at a geographically
detailed level
⚫ In contrast to the population, socio-demographic structure
is frozen for one year
⚫ It is acceptable, because the aim of census is not to
highlight short term phenomena
en partenariat
avec votre commune
What do we learn for the future ?
en partenariat
avec votre commune
⚫Conclusion
⚫ French rolling census is resilient.
⚫ The availability of data from survey every year and other sources is
essential: register of residential buildings and administrative data
⚫ Producing population estimates one year earlier is possible
⚫ To produce population estimate with one missing ACS is closed to produce
advanced population estimate : the degradation of quality is acceptable
⚫ The postponement allowed more time to prepare the first
survey during the health crisis, in January-February 2022.
⚫ It was a success, with a contained non-response rate : 4,8% (against 4,1%
in 2020).
Russian
Перепись населения во Франции: влияние
переносов сроков переписи 2021 года на
результаты
Мюриэль Барле
Начальник отдела демографии
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• Принципы проведения скользящей переписи населения во Франции
• Почему мы отложили сбор данных в 2021 году?
• Как нам удалось оценить численность населения без сбора данных?
• Какие уроки мы вынесли на будущее?
Перепись населения во Франции: влияние
переносов сроков переписи 2021 года на
результаты
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Принципы проведения скользящей переписи
населения во Франции
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⚫ Принципы проведения скользящей переписи населения
во Франции
• Процесс, опирающийся на три вида данных:
− Данные переписи части населения поступают ежегодно (Ежегодное
переписное обследование (ЕПО))
− Данные из Реестра жилого фонда: основа выборки в случае крупных
муниципалитетов
− Данные из местных налоговых органов о налогооблагаемом жилом
фонде и жильцах
− это то, что позволяет ежегодно получать подробные сведения по всем
соответствующим административно-территориальным уровням (от
уровня страны до уровня муниципалитетов и даже кварталов)
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⚫ Почему оценки численности населения, получаемые в
результате переписи, столь важны?
Оценки численности населения, полученные в результате переписи,
представляют собой «официальную» численность населения
муниципалитетов:
⚫ На этот показатель ссылаются около 350 мер, предусмотренных в
нормативно-правовой базе.
⚫ Этот показатель определяет размер ежегодного финансирования,
выделяемого муниципалитету из госбюджета, число депутатов
муниципального совета, число выдаваемых в муниципалитете разрешений
на открытие аптек и т.п.
Национальный институт статистики и экономических
исследований (НИСЭИ/INSEE) обязан публиковать данные о численности
населения ежегодно … даже без проведения переписных обследований
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⚫ Как осуществляется ежегодный сбор данных?
⚫ В небольших муниципалитетах (с населением до
10000 жителей)
⚫ Ежегодно: 1/5 муниципалитетов, охват всех жителей
⚫ Все муниципалитеты, охват всех жителей за
пятилетний цикл
⚫ В крупных муниципалитетах (с населением от 10 000
и более)
⚫ Ежегодно: охват 8% жителей каждого муниципалитета
⚫ Переписывается 5 млн единиц жилого фонда и 8 млн
жителей
⚫ Для сбора данных муниципалитетами нанимается 33 000
переписчиков
⚫ В период сбора данных 400 сотрудников Национального
института статистики и экономических исследований
(НИСЭИ/INSEE) обеспечивают надзор и контроль за
проведением этих работ
⚫ Очень большой объем работ ежегодно
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⚫Базисный период
⚫ Исходной датой отсчета является 01 января медианного года 5-летнего
переписного цикла
⚫ Для обеспечения качества демографических оценок
⚫ Для обеспечения справедливого отношения ко всем муниципалитетам
⚫ Демографические данные публикуются в конце второго года после
проведения переписного обследования (год N+2)
⚫ Например, в декабре 2022 года демографические данные будут
опубликованы по состоянию на 01 января 2020 года
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⚫ Метод оценки численности населения в малых
муниципалитетах
⚫ Зависит от того, когда проводился последний сбор данных:
⚫ Перепись до базисного периода: экстраполяция тенденций
изменения численности населения на будущие периоды,
использование сведений налоговых органов о показателях темпов
роста жилого фонда, применение коэффициента «отказа от
совместного проживания» (т.н. «декохабитации»)
⚫ Перепись в течение базисного (учетного) периода: результаты
переписи
⚫ Перепись после базисного периода: линейная интерполяция данных
за период с момента последней публикации переписных данных и до
момента проведения переписи
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⚫Метод оценки численности населения в малых
муниципалитетах
⚫ РГ — ротационная группа.
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⚫Метод оценки численности населения в
крупных муниципалитетах
⚫ Численность населения = умножение
⚫ количества единиц жилого фонда, взятого из
Реестра жилого фонда, на
⚫ среднее число человек на одну единицу жилого
фонда, рассчитанное по результатам 5 последних
ежегодных переписных обследований
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Почему мы отложили сбор данных в 2021 году?
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⚫ Тревожная ситуация в области здравоохранения
⚫ Осенью 2020 года:
⚫ Второй карантин во время подготовки к проведению обследования
(ноябрь 2020 г.)
⚫ К вакцинации еще не приступили
⚫ Неопределенность в области здравоохранения в начале 2021 года
⚫ Нежелание некоторых муниципалитетов проводить обследование в
январе-феврале 2021 года, несмотря на адаптацию протокола
проведения переписного обследования, предусматривающего
сокращение числа физических контактов между переписчиками и
переписываемыми
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⚫Три варианта проведения переписи
⚫ Соблюдение графика проведения переписи в январе-феврале 2021
года: вариант отклонен из-за ухудшения ситуация в области
здравоохранения
⚫ Перенос переписи на весну 2021 года: вариант отклонен из-за
неопределенности ситуации в области здравоохранения (третий
карантин...)
⚫ Перенос переписи на 2022 год:
⚫ Выбранный вариант
⚫ Несмотря на необходимость ежегодной публикации
результатов переписи
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Как нам удалось оценить численность населения
без сбора данных?
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⚫Принципы адаптации методов
⚫ В малых муниципалитетах:
⚫ Более широкое использование административных данных
⚫ В крупных муниципалитетах:
⚫ Реестр жилого фонда всегда доступен и актуализирован:
количество жилых помещений известно даже в случае
переноса обследования
⚫ Экстраполяция наблюдавшихся ранее тенденций на будущие
периоды
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⚫В малых муниципалитетах
⚫ Разрыв между двумя
обследованиями
увеличивается на один год:
с 5 до 6 лет.
⚫ Расчетная оценка
численности населения в
том году, когда
обследование отложено:
экстраполяция тенденций
изменения численности
населения, опираясь на
данные налоговых органов.
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⚫В малых муниципалитетах
⚫ Ежегодно:
⚫ Адаптация метода только в 20% муниципалитетов
⚫ Качество полученных данных:
⚫ Моделирование отсутствия ЕПО в прошлом и сравнение
адаптированного метода с опубликованными данными.
⚫ Расчетная численность населения очень близка к
опубликованному показателю: разница 0,05%.
⚫ Отклонение на уровне муниципалитетов в абсолютном
выражении составляет менее 2% у 92% муниципалитетов.
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⚫В крупных муниципалитетах
⚫ Два компонента оценочного расчета:
⚫ Количество единиц жилого фонда: эти данные всегда доступны благодаря
наличию Реестра жилого фонда
⚫ Среднее количество человек на единицу жилого фонда:
⚫ Обычно: среднее значение из 5 последних ЕПО.
⚫ Проведение псевдо-ЕПО 2021 года с помощью экстраполяции ранее
выявленных тенденций: показатели основных мест жительства и числа
людей, приходящихся на основное место жительства. Сопоставление
данных ежегодного переписного обследования (ЕПО) 2016 года с
данными 2021 года.
⚫ Качество:
⚫ У 92% муниципалитетов численность населения, рассчитанная по
адаптированному методу, находится в пределах 95% доверительного интервала
опубликованных данных о численности населения
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⚫Социально-демографические данные
⚫ Несмотря на перенос сроков проведения переписного обследования
2021 года, социально-демографические данные с административно-
территориальной детализацией также доступны.
⚫ В отличие от показателей населения, социально-демографическая
структура «замораживается» на один год.
⚫ И это приемлемо, потому что цель переписи не в том, чтобы отражать
краткосрочные явления.
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Какие уроки мы вынесли на будущее?
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⚫Заключение
⚫ Французская скользящая перепись носит устойчивый характер.
⚫ Наличие данных ежегодного обследования и данных из других источников
обязательно: Реестр жилого фонда (РЖФ) и административные данные
⚫ Возможно получение расчетной численности населения на год раньше
⚫ В условиях отсутствия данных одного ежегодного переписного обследования
(ЕПО) возможно получение детализированных данных о расчетной численности
населения: снижение качества данных носит приемлемый характер
⚫ Перенос сроков переписи дал больше времени на подготовку первого
переписного обследования во время кризиса в области здравоохранения
в январе-феврале 2022 года.
⚫ Переписное обследование прошло успешно, а доля респондентов, не
прошедших перепись, не сильно возросла: 4,8% (по сравнению с 4,1% в 2020
These tables show forest products production and trade forecasts for 2021 and 2022. 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.
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 logs
Table 11 – Hardwood logs
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 of Market Forecast
Table 15 – North America: Summary of Market Forecast
Table 16 – Russian Federation: Summary of Market Forecast
Table 17 - Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (average) and 2016 to 2020
Table 18 - Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (average), 2016 to 2020, and
forecasts for 2021 and 2022
Table 19 - United States: Apparent consumption and imports of selected forest products 1979-81 and 1999-2001 (average), 2016 to 2020, and
forecasts for 2021 and 2022
Data as of November 26, 2021.
UNECE COFFI and FAO EFC Foresta2021 page 2
Notes
Data are shown only for countries providing forecasts. Sub-regional totals thus reflect only the reporting countries of the subregion.
Austrian removals data do not include trees outside the forest. Wood chip trade includes recovered post-consumer wood.
German estimates of removals for 2021 and 2022 are highly sensitive to assumptions of beetle damage and drought, and significant inventory swings. Actual
consumption in 2021 is higher than indicated due to use of stocks built up in 2018-2020. Actual consumption of pellets in 2020 should be approximately
300,000 mt less than the indicated figure as this amount was stored by new market participants.
Italy MDF/HDF production data include only MDF.
Montenegro removal figures are from Directorate of Forests, other figures are based on Statistical Office information.
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 and wood pulp are secretariat estimates.
Data on wood chips and residues for Turkey include those from secondary processing.
For tables 1-13, data in italics are secretariat estimates or repeated data. All other data are from national sources and are of course estimates for the current and
future year.
Countries with nil, missing or confidential data for all years on a table are not shown.
Consumption figures are the sum of production and national imports minus national exports. Softwood = coniferous, hardwood = non-coniferous.
United States a 86 118 87 846 88 690 62 446 63 831 64 874 25 631 26 033 25 875 1 959 2 019 2 059 Etats-Unis a
Total North America 99 902 108 231 111 043 101 843 106 680 109 764 26 261 26 678 26 579 28 202 25 127 25 300 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
Production Imports - Importations
TABLE 1
Apparent Consumption
Consommation Apparente Pays
SAWN SOFTWOOD SCIAGES CONIFERES
1000 m3
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
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
Bois de trituration a
TABLE 9
Autre b
Wood fuel c
Bois de chauffage c
Total PaysCountry Grumes
LogsTotal Pulpwood
a Other b
Industrial wood - Bois industriels
QUANTITES ENLEVEES DE BOIS BRUT
TOTAL
REMOVALS OF WOOD IN THE ROUGH
TOTAL
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
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
Pulpwood a Other b
Industrial wood - Bois industriels
QUANTITES ENLEVEES DE BOIS BRUT
CONIFERES
REMOVALS OF WOOD IN THE ROUGH
SOFTWOOD
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
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
Bois de trituration a
TABLE 9b
Autre b
Wood fuel c
Bois de chauffage c
Total PaysCountry Grumes
LogsTotal Pulpwood
a Other b
Industrial wood - Bois industriels
QUANTITES ENLEVEES DE BOIS BRUT
NON-CONIFERES
REMOVALS OF WOOD IN THE ROUGH
HARDWOOD
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
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
Production Imports - Importations
TABLE 10
Apparent Consumption a
Consommation Apparente a Pays
SOFTWOOD SAWLOGS GRUMES DE SCIAGES DES CONIFERES
1000 m3
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
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
Exports - ExportationsCountry Production Imports - Importations
TABLE 11
Apparent Consumption a
Consommation Apparente a Pays
HARDWOOD SAWLOGS (total)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
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
Exports - ExportationsCountry Production Imports - Importations
TABLE 11a
Apparent Consumption a
Consommation Apparente a Pays
HARDWOOD LOGS (temperate)
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
GRUMES DE NON-CONIFERES (zone tempérée)
1000 m3
UNECE COFFI and FAO EFC Foresta2021 page 23
Imports Exports
2020 2021 2022 2020 2021 2022 2020 2021 2022 2020 2021 2022
France -33 -38 -37 36 42 40 3 3 3 France
Germany -6 -4 -6 8 9 10 2 5 4 Allemagne
Luxembourg -15 -15 -15 15 15 15 0 0 0 Luxembourg
Netherlands -4 -13 -13 14 20 20 10 7 7 Pays-Bas
Poland -1 -2 -2 2 2 2 0 0 0 Pologne
Portugal -187 -74 -69 192 80 75 5 6 6 Portugal
Serbia -1 -1 -1 1 1 1 0 0 0 Serbie
Slovenia -1 -1 -1 1 1 1 0 0 0 Slovénie
Spain -7 -6 -7 7 8 8 0 1 1 Espagne
United Kingdom -24 -24 -24 24 24 24 0 0 0 Royaume-Un
Total Europe -279 -178 -175 300 201 196 20 23 21 Total Europe
Canada 1 3 0 0 0 0 1 3 0 Canada
United States -1 -1 -1 2 2 2 1 1 1 Etats-Unis
Total North America 0 2 -1 2 2 2 2 4 1 Total Amérique du Nord
TABLE 11b
Net Trade
Commerce Net Pays
HARDWOOD LOGS (tropical) GRUMES DE NON-CONIFERES (tropicale)
1000 m3
Exports - ExportationsCountry
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
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 12
Apparent Consumption a
Pays
1000 m3
Exports - Exportations
PULPWOOD (total) BOIS DE TRITURATION (total)
Country
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
Production Imports - ImportationsConsommation Apparente a
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
Apparent Consumption a
Consommation Apparente a Pays
PULPWOOD LOGS (ROUND AND SPLIT) BOIS DE TRITURATION (RONDINS ET QUARTIERS)
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
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
Hardwood Non-conifères
1000 m3 - Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
BOIS DE TRITURATION (RONDINS ET QUARTIERS)
Production Imports - Importations
TABLE 12b
Apparent Consumption a
Consommation Apparente a PaysExports - ExportationsCountry
– Residues, chips and particles 120.70 124.96 126.70 109.88 114.58 116.03 22.34 22.46 22.55 11.52 12.08 11.88 – Déchets, plaquettes et part.
Wood pulp 40.30 40.64 40.12 36.93 37.91 37.93 17.92 17.74 17.65 14.55 15.02 15.46 Pâte de bois
Paper and paperboard 76.36 76.97 77.32 86.91 89.94 90.19 44.50 44.66 44.77 55.05 57.63 57.65 Papiers et cartons
Wood Pellets 25.84 26.39 27.74 17.91 18.74 19.52 15.85 16.02 16.67 7.93 8.38 8.44 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.
Russian Federation: Summary table of market forecasts for 2021 and 2022
Fédération de Russie: Tableau récapitulatif des prévisions du marché pour 2021 et 2022
million m3 (pulp, paper and pellets million m.t. - pâte de bois, papiers et cartons, et granulés en millions de tonnes métriques)
Imports - Importations
prévisions
forecasts
prévisions
forecasts
prévisions
forecasts
prévisions
forecasts
UNECE COFFI and FAO EFC Foresta2021 page 32
Unit
Unité 2016 2017 2018 2019 2020
1979-81 1999-2001 Volume Percent
EXPORTS EXPORTATIONS
Roundwood a million m3 22.22 48.68 61.29 63.02 70.01 78.70 82.01 3.31 4.2% Bois ronds a
Sawnwood " 24.77 45.99 55.71 58.51 59.86 62.83 56.58 -6.25 -9.9% Sciages
Wood-based panels b " 8.07 21.42 33.67 35.66 35.43 35.67 28.55 -7.12 -20.0% Panneaux à base de bois b
Wood pulp million m.t. 7.31 10.08 14.31 14.81 15.19 16.26 14.55 -1.71 -10.5% Pâte de bois
Paper and paperboard " 18.39 54.06 65.56 66.20 66.45 65.12 55.05 -10.07 -15.5% Papiers et cartons
IMPORTS IMPORTATIONS
Roundwood a million m3 38.83 74.99 85.69 79.61 90.25 89.33 86.83 -2.50 -2.8% Bois ronds a
Sawnwood " 34.26 46.39 40.93 43.88 46.19 47.38 36.52 -10.86 -22.9% Sciages
Wood-based panels b " 10.30 21.38 33.04 35.75 37.21 36.72 28.43 -8.29 -22.6% Panneaux à base de bois b
Wood pulp million m.t. 11.36 17.26 20.73 20.86 21.51 20.02 17.92 -2.10 -10.5% Pâte de bois
Paper and paperboard " 16.78 48.69 56.27 57.08 57.24 55.14 44.50 -10.64 -19.3% Papiers et cartons
NET TRADE c COMMERCE NET c
Roundwood a million m3 -16.61 -26.31 -24.40 -16.59 -20.24 -10.63 -4.82 5.81 54.6% Bois ronds a
Sawnwood " -9.49 -0.40 14.78 14.62 13.68 15.45 20.06 4.61 29.8% Sciages
Wood-based panels b " -2.23 0.04 0.63 -0.10 -1.79 -1.05 0.12 1.17 NA Panneaux à base de bois b
Wood pulp million m.t. -4.05 -7.18 -6.42 -6.05 -6.31 -3.76 -3.37 0.39 10.3% Pâte de bois
Paper and paperboard " 1.61 5.37 9.29 9.12 9.21 9.98 10.55 0.57 5.7% Papiers et cartons
a Including available data on wood residues, chips and particles a Y compris les données disponibles pour les déchets, les plaquettes et les particules
b Not including veneer sheets b Ne sot pas compris les feuilles de placage
c Exports minus imports c Exportations moins importations
2019/2020
Quantity - Volume
TABLE 17
Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (averages) and 2016 to 2020
Europe: Commerce des produits forestiers, par principaux groupes d'assortiments, en 1979-81 et 1999-2001 (moyennes) et de 2016 à 2020
Paper and paperboard 100.0 180.3 179.8 182.9 182.1 175.3 155.3 156.5 157.2 Papiers et cartons
– Newsprint 100.0 186.6 102.5 93.4 89.2 81.6 63.5 – Papiers journal
– Other paper & paperbrd. 100.0 179.4 191.5 196.5 196.1 189.5 169.2 – Autres papiers/cartons
a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020)
comparable with earlier data as the methodology is different. et les donnes anterieures n'est pas possible à cause de différences des méthodes de calcul.
b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016
c Not including veneer sheets c Ne sont pas compris les feuilles de placage
d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB
TABLE 18
Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022
Europe: Consommation apparente de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022
Paper and paperboard million m.t. 7.78 15.84 9.26 9.17 9.46 8.72 7.64 7.83 7.87 Papiers et cartons
– Newsprint " 6.49 6.61 1.84 1.72 1.53 1.28 1.05 – Papiers journal
– Other paper & paperbrd. " 1.29 9.24 7.42 7.45 7.94 7.45 6.60 – Autres papiers/cartons
a The forecasts and 2020 are not a Une comparison entre prévisions (et 2020)
comparable with earlier data as the methodology is different. et les donnes anterieures s n'est pas possible à cause de différences des méthodes de calcul.
b Excluding sleepers through 2016 b Non compris les traverses jusqu'à 2016
c Not including veneer sheets c Ne sont pas compris les feuilles de placage
d Average figure for 1979-81 includes OSB d Les chiffres moyennes 1979-81 comprennent le OSB
Actual - Réelle
Unit
Unité
Imports – Importations
Apparent Consumption – Consommation apparente
average
moyenne
TABLE 19
United States: Apparent consumption and imports of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022
Etats-Unis: Consommation apparente et importations de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022
Forecasts a
Prévisions a
UNECE COFFI and FAO EFC Foresta2021 page 35
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 2021 and 2022
Table 15 - North America: Summary table of market forecasts for 2021 and 2022
Table 16 - Russian Federation: Summary table of market forecasts for 2021 and 2022
Table 17 - Europe: Trade in forest products by main product groups, 1979-81 and 1999-2001 (average) and 2016 to 2020
Table 18 - Europe: Apparent consumption of selected forest products, 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022
Table 19 - United States: Apparent consumption and imports of selected forest products 1979-81 and 1999-2001 (average), 2016 to 2020, and forecasts for 2021 and 2022
Source: UNECE Committee on Forests and the Forest Industry , November 2021, 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.
Austrian removals data do not include trees outside the forest. Wood chip trade includes recovered post-consumer wood.
German estimates for removals for 2021 and 2022 are highly sensitive to assumptions of beetle and storm damage
Italy MDF/HDF production data include only MDF
Montenegro removal figures are from Directorate of Forests, other figures are based on Statistical Office information.
Polish trade data exclude non-reporters (estimated at 1-3% of total). Polish sawnwood data include shop lumber. Wood pulp production is in metric tonnes not air-dried and excludes recovered fibre pulp.
Polish wood pellets production data includes briquettes and non-wood based material.
Slovenian trade figures are lower than actual as they do not include estimates for non-recorded trade with other EU countries.
United Kingdom production figures for OSB and wood pulp are secretariat estimates.
Data on wood chips and residues for Turkey include those from secondary processing.
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
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
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2020
2021
2022
2020
2021
2022
2020
2021
2022
2020
2021
2022
Country
Consumption
Production
Imports
Exports
Country
Austria
6,165
6,650
6,700
10,339
10,800
11,300
1,777
1,950
1,600
5,951
6,100
6,200
Autriche
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Bosnia-Herzegovina
226
189
204
810
779
812
7
10
12
590
600
620
Bosnie-Herzegovine
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Cyprus
29
31
31
1
1
1
28
30
30
0
0
0
Chypre
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Czech Republic
2,343
1,875
1,924
5,213
5,015
5,144
483
460
480
3,352
3,600
3,700
République tchèque
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Estonia
2,073
2,420
2,420
1,700
1,700
1,700
1,364
1,720
1,720
991
1,000
1,000
Estonie
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Finland
3,252
3,280
3,280
10,880
12,000
12,200
569
480
480
8,198
9,200
9,400
Finlande
2
2
2
2
2
2
2
2
2
2
2
2
2
2
France
8,187
8,492
8,400
6,798
7,000
7,000
2,437
2,484
2,400
1,048
992
1,000
France
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Germany
20,630
22,300
22,500
25,216
27,000
27,000
5,519
6,300
6,000
10,105
11,000
10,500
Allemagne
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Hungary
910
858
858
120
134
134
796
768
768
7
44
44
Hongrie
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Ireland
492
937
997
1,012
1,312
1,397
310
375
400
830
750
800
Irlande
3
3
2
2
5
2
2
5
2
2
5
2
2
3
Italy
3,714
4,412
4,412
274
342
342
3,740
4,282
4,282
300
213
213
Italie
3
2
2
3
2
2
5
2
2
5
2
2
5
3
Latvia
1,383
1,600
1,300
3,311
3,000
3,000
1,106
1,600
1,300
3,034
3,000
3,000
Lettonie
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Luxembourg
54
54
54
39
39
39
27
27
27
12
12
12
Luxembourg
3
3
3
3
5
5
5
2
5
5
2
5
5
3
Malta
7
6
7
0
0
0
7
6
7
0
0
0
Malte
3
3
2
2
5
2
2
5
2
2
5
2
2
3
Montenegro
32
32
32
129
129
129
9
9
9
106
106
106
Monténégro
3
3
3
3
5
5
5
5
5
5
5
5
5
3
Netherlands
2,631
2,520
2,600
95
100
100
3,132
2,900
3,000
596
480
500
Pays-Bas
2
2
2
2
2
2
2
2
2
2
2
2
2
2
North Macedonia
24
24
24
2
2
2
23
23
23
0
0
0
Macédoine du Nord
3
3
3
3
5
5
5
3
5
5
3
5
5
3
Poland
4,460
4,550
4,600
4,181
4,300
4,400
1,237
1,250
1,300
958
1,000
1,100
Pologne
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Portugal
770
770
780
874
880
890
133
120
130
237
230
240
Portugal
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Serbia
401
438
453
112
130
135
291
310
320
2
2
2
Serbie
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Slovakia
576
650
700
1,182
1,000
1,050
352
400
400
959
750
750
Slovaquie
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Slovenia
704
392
439
877
717
729
657
670
690
830
995
980
Slovénie
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Spain
2,436
3,446
3,712
1,813
2,773
2,940
829
977
1,044
206
304
272
Espagne
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Sweden
5,123
6,300
6,300
18,500
18,900
18,800
599
500
400
13,976
13,100
12,900
Suède
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Switzerland
1,216
1,245
1,275
1,120
1,150
1,180
293
280
275
197
185
180
Suisse
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Turkey
6,337
6,396
6,396
6,091
6,150
6,150
380
380
380
134
134
134
Turquie
2
2
2
2
2
2
2
2
2
2
2
2
2
2
United Kingdom
9,772
10,769
11,137
3,302
3,633
3,633
6,677
7,345
7,712
208
208
208
Royaume-Uni
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Total Europe
83,947
90,637
91,535
103,993
108,986
110,207
32,780
35,655
35,188
52,826
54,004
53,861
Total Europe
Armenia
182
182
182
0
0
0
182
182
182
0
0
0
Arménie
3
3
3
3
5
5
5
2
5
5
5
5
5
3
Moldova
221
221
221
2
2
2
219
219
219
0
0
0
Moldova
3
2
3
3
2
5
5
2
5
5
2
5
5
3
Russia
9,127
10,145
11,250
38,918
40,086
42,090
42
42
42
29,833
29,982
30,882
Russie
3
3
2
2
3
2
2
5
2
2
2
2
2
3
Total EECCA
9,530
10,549
11,653
38,920
40,088
42,092
444
444
444
29,833
29,983
30,882
Total EOCAC
Canada a
13,784
20,386
22,353
39,397
42,849
44,890
631
645
704
26,243
23,108
23,241
Canada a
3
3
2
2
3
2
2
3
2
2
3
2
2
3
United States a
86,118
87,846
88,690
62,446
63,831
64,874
25,631
26,033
25,875
1,959
2,019
2,059
Etats-Unis a
3
3
2
2
2
2
2
3
2
2
3
2
2
3
Total North America
99,902
108,231
111,043
101,843
106,680
109,764
26,261
26,678
26,579
28,202
25,127
25,300
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
Data only for those countries providing forecasts - Données uniquement pour les pays fournissant des prévisions
1000 m3
Apparent Consumption
Country
Consommation Apparente
Production
Imports - Importations
Exports - Exportations
Pays
2020
2021
2022
2020
2021
2022
2020
2021
2022
2020
2021
2022
Country
Consumption
Production
Imports
Exports
Country
Austria
719
798
803
2,330
2,480
2,500
308
320
325
1,919
2,002
2,022
Autriche
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Bosnia-Herzegovina
168
164
165
12
13
12
157
153
155
1
2
2
Bosnie-Herzegovine
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Cyprus
43
42
42
0
0
0
43
42
42
0
0
0
Chypre
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Czech Republic
281
400
436
774
1,010
1,040
315
320
323
809
930
927
République tchèque
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Estonia
170
185
185
180
210
210
73
74
74
83
99
99
Estonie
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Finland
144
135
135
88
88
88
76
77
77
20
30
30
Finlande
2
2
2
2
0
-3
-3
0
-3
-3
0
-3
-3
2
France
1,592
2,160
2,508
2,233
2,633
3,033
579
591
640
1,219
1,065
1,165
France
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Germany
5,789
5,660
5,815
5,556
5,550
5,575
1,903
1,660
1,840
1,670
1,550
1,600
Allemagne
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Hungary
319
405
405
334
355
355
326
352
352
340
302
302
Hongrie
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Ireland
101
114
114
0
0
0
116
130
130
16
16
16
Irlande
2
2
2
2
0
0
0
0
-3
-3
0
0
0
2
Italy
2,743
2,716
2,716
2,568
2,568
2,568
634
780
780
459
632
632
Italie
2
2
2
2
0
0
0
0
-3
0
0
-3
0
2
Latvia
162
160
160
396
400
400
49
50
50
283
290
290
Lettonie
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Luxembourg
22
22
22
0
0
0
26
26
26
4
4
4
Luxembourg
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Malta
10
10
10
0
0
0
10
10
10
0
0
0
Malte
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Montenegro
18
18
18
0
0
0
18
18
18
-0
-0
-0
Monténégro
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Netherlands
376
404
404
0
0
0
456
484
484
81
80
80
Pays-Bas
2
2
2
2
0
0
0
0
0
0
0
0
0
2
North Macedonia
95
95
95
0
0
0
96
96
96
1
1
1
Macédoine du Nord
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Poland
6,640
6,640
6,650
5,739
5,670
5,670
1,626
1,650
1,680
724
680
700
Pologne
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Portugal
549
647
693
700
710
720
288
365
412
438
428
439
Portugal
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Serbia
349
362
364
217
220
223
193
195
197
61
53
56
Serbie
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Slovakia
238
235
235
598
625
625
146
110
110
506
500
500
Slovaquie
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Slovenia
143
163
157
0
0
0
147
168
160
4
5
4
Slovénie
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Spain
1,586
1,566
1,544
1,783
1,847
1,855
446
616
645
643
897
956
Espagne
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Sweden
874
908
895
568
580
565
386
415
410
80
87
80
Suède
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Switzerland
262
280
300
366
380
390
126
125
130
230
225
220
Suisse
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Turkey
3,234
3,234
3,234
4,075
4,075
4,075
29
29
29
870
870
870
Turquie
2
2
2
2
0
0
0
0
0
0
0
0
0
2
United Kingdom
2,203
2,465
2,465
1,698
1,897
1,897
590
649
649
86
81
81
Royaume-Uni
2
2
2
2
-1
-3
-3
0
0
0
0
0
0
2
Total Europe
28,830
29,988
30,569
30,215
31,311
31,801
9,162
9,505
9,844
10,548
10,828
11,075
Total Europe
Armenia
122
122
122
0
0
0
122
122
122
0
0
0
Arménie
2
2
2
2
0
0
0
0
0
0
-1
0
0
2
Moldova
93
93
93
0
0
0
93
93
93
0
0
0
Moldova
2
2
2
2
0
0
0
-1
0
0
-3
0
0
2
Russia
5,289
6,123
6,498
6,731
7,146
7,535
299
670
789
1,741
1,692
1,825
Russie
2
2
2
2
-1
0
0
1
0
0
-1
0
0
2
Total EECCA
5,504
6,337
6,713
6,731
7,146
7,535
514
884
1,004
1,741
1,692
1,825
Total EOCAC
Canada
2,010
1,360
1,227
2,277
1,791
1,748
492
609
621
759
1,041
1,142
Canada
2
2
2
2
0
0
0
0
0
0
0
0
0
2
United States
5,237
5,408
5,515
4,136
4,465
4,553
1,462
1,334
1,359
361
391
398
Etats-Unis
2
2
2
2
0
0
0
0
0
0
0
0
0
2
Total North America
7,247
6,768
6,742
6,413
6,257
6,302
1,954
1,943
1,980
1,121
1,432
1,539
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.
United States: Apparent consumption and imports of selected forest products, 1979-81 and 1999-2001 (averages), 2016 to 2020, and forecasts for 2021 and 2022
Etats-Unis: Consommation apparente et importations de certains produits forestiers, en 1979-81 et 1999-2001 (moyennes), de 2016 à 2020 et prévisions pour 2021 et 2022
Unit
Unité
Actual - Réelle
Forecasts a
Prévisions a
average
moyenne
2016
2017
2018
2019
2020
2021
2022
1979-81
1999-2001
Apparent Consumption – Consommation apparente
Sawnwood b
million m3
95.82
119.44
99.75
100.40
101.08
101.75
99.92
102.05
103.10
Sciages b
– Softwood
"
79.14
91.63
80.22
81.41
81.94
82.26
86.12
87.85
88.69
– Conifères
– Hardwood
"
16.67
27.81
19.53
18.99
19.14
19.49
13.81
14.20
14.41
– Non-conifères
Wood-based panels c
"
29.25
54.68
47.17
48.78
47.93
46.78
46.09
47.63
48.43
Panneaux à base de bois c
– Plywood
"
6.09
18.74
15.42
15.60
14.87
14.03
14.03
14.64
14.94
– Contreplaqués
– Particle board d
"
17.11
10.15
5.04
5.09
5.18
5.40
5.24
5.41
5.52
– Panneaux de particules d
– OSB
17.75
17.08
18.33
18.86
18.67
18.58
19.35
19.72
– OSB
– Fibreboard
"
6.05
8.05
9.63
9.75
9.01
8.69
8.24
8.24
8.24
– Panneaux de fibres
Paper and paperboard
million m.t.
61.86
92.52
70.10
69.61
68.82
66.31
63.57
66.13
67.40
Papiers et cartons
– Newsprint
"
10.56
12.20
3.03
2.62
2.29
1.91
1.42
– Papiers journal
– Other paper & paperbrd.
"
51.30
80.33
67.07
66.99
66.53
64.41
62.15
– Autres papiers/cartons
Imports – Importations
Sawnwood b
million m3
23.87
34.46
28.33
27.42
26.44
25.30
26.26
26.70
26.57
Sciages b
– Softwood
"
23.10
32.93
27.37
26.70
25.49
24.53
25.63
26.03
25.88
– Conifères
– Hardwood
"
0.77
1.53
0.96
0.72
0.95
0.77
0.63
0.67
0.69
– Non-conifères
Wood-based panels c
"
2.11
12.82
13.23
14.50
15.67
14.34
14.46
14.97
15.13
Panneaux à base de bois c
– Plywood
"
0.50
2.63
4.88
4.93
5.47
4.66
5.06
5.30
5.33
– Contreplaqués
– Particle board
"
1.33
1.44
1.25
1.24
1.33
1.43
1.46
1.33
1.36
– Panneaux de particules
– OSB
6.81
5.07
5.57
5.67
5.42
5.07
5.46
5.56
– OSB
– Fibreboard
"
0.28
1.94
2.03
2.76
3.21
2.83
2.88
2.88
2.88
– Panneaux de fibres
Paper and paperboard
million m.t.
7.78
15.84
9.26
9.17
9.46
8.72
7.64
7.83
7.87
Papiers et cartons
– Newsprint
"
6.49
6.61
1.84
1.72
1.53
1.28
1.05
– Papiers journal
– Other paper & paperbrd.
"
1.29
9.24
7.42
7.45
7.94
7.45
6.60
– Autres papiers/cartons
a The forecasts and 2020 are not
a Une comparison entre prévisions (et 2020)
comparable with earlier data as the methodology is different.
et les donnes anterieures s n'est pas possible à cause de différences des méthodes de calcul.
b Excluding sleepers through 2016
b Non compris les traverses jusqu'à 2016
c Not including veneer sheets
c Ne sont pas compris les feuilles de placage
d Average figure for 1979-81 includes OSB
d Les chiffres moyennes 1979-81 comprennent le OSB
The Group of 7 nations (G7), six of which are UNECE member States (Canada, France, Germany, Italy, the UK and the US), took bold step towards reducing barriers to trade by agreeing on the principles to govern cross-border data use and digital trade. At their meeting in London on 22 October, ministers adopted the G7 Digital Trade Principles and stressed the importance of commonalities within standards while providing sufficient flexibility to pursue legitimate regulatory goals.
Group of Experts on drafting a new legal instrument
on the use of automated vehicles in traffic
First session
Geneva, 1 September 2021
Item 4 of the provisional agenda
Programme of Work
Joint position statement regarding the programme of work of the Group of Experts on drafting a new legal instrument on the use of automated vehicles in traffic
Submitted by the representatives of France and Germany
This document proposes discussion elements for the programme of work of the Group of Experts (GoE) on drafting a new Legal Instrument on the use of Automated Vehicles in traffic (LIAV), hereunder “the Group”.
1. Following the invitation to the first session of the GoE on LIAV by the secretariat, supported by documents ECE/TRANS/WP.1/GE.3/2021/1 (annotated provisional agenda), Annex III to ECE/TRANS/2021/6 (Terms of Reference (ToR) of the GoE on LIAV), ECE/EX/2/Rev.1 (Guidelines for the establishment and functioning of teams of specialists within UNECE) and ECE/TRANS/WP.1/100/Add. 1 (ToR of the Global Forum for Road Traffic Safety (WP.1)), France and Germany, with the present document, would like to share their views and, by doing so, open discussions of the above-mentioned agenda item 4 during this session.
2. Germany and France support the points listed hereafter:
- As established by the ToR, the main objective to be achieved is the drafting of a new legal instrument which is expected to complement the 1949 and 1968 Conventions on Road Traffic. In addition to the typical sections on definitions and final clauses, it will include a set of legal provisions for the safe deployment of automated vehicles in international traffic.
- In full compliance with the objectives of the Global Forum for Road Traffic Safety (WP.1), the Group should seek to promote road safety, in the context of the growing development of automated vehicles. In this matter, particular attention shall be paid to the safety of vulnerable road users.
- Developing and harmonizing international traffic regulations is crucial in order to support the safe, homogeneous, and consistent development of automated and autonomous vehicles in road traffic.
- The Group may usefully consider previous achievements of WP.1 as a basis of reference, including the Resolution on the deployment of highly and fully automated vehicles in road traffic (adopted at the seventy-seventh session of the WP.1 in September 2018).
- The Group will hold at least two formal plenary meetings per year at the UNECE premises in Geneva. The first meeting of the Group will include an initial section on official matters (Election of officers; Eventual complementary addition with reference to the Rules of procedure; etc.) but should then start working towards its main output.
- Considering that the subject of automated vehicles in traffic is still rather recent and constantly evolving, the Group may find it necessary to invite and listen to a wide range of qualified experts. The expertise of the colleagues at the World Forum for harmonization of vehicle regulations (WP.29), and in particular those at the Working Party on Automated/Autonomous and Connected Vehicles (GRVA), could notably help the Group with its tasks. Activities of the Group could include undertaking studies and advisory sessions; organizing seminars and workshops; collecting data; and providing information.
- The time schedule for the implementation of the Group’s objectives and activities shall initially include the full period for which it has been established. At the end of this period, the Group submits a full report on its accomplishments to its supervising body (i.e., the Global Forum for Road Traffic Safety), possibly including a request for extension of the duration of the Group.
- The baseline identified for the Group is a thorough analysis of the 1949 and 1968 Conventions on Road Traffic, aimed at identifying how the new legal instrument can complement in the best possible way the aforementioned Conventions without restricting the current margin of manoeuvre of Contracting Parties.
- The milestones of the Group should include, amongst others, the following:
(a) The successful completion of its establishment by electing its officers, and by eventually complementing documents ECE/EX/2/Rev.1 and TRANS/WP1/100/Add.1 by a further set of rules of procedures;
(b) The successful completion of the aforementioned analysis of the 1949 and 1968 Conventions on Road Traffic;
(c) The drafting of an initial set of necessary legal provisions for the safe deployment of automated vehicles in international traffic;
(d) Periodical consultations with the Global Forum for Road Traffic Safety (WP.1), not fewer than two per year (coinciding with the regular WP.1 sessions);
(e) At the end of the period for which it has been established, the submission of a full report on its accomplishments to the supervising body.
3. France and Germany conclude that a legal instrument on the use of automated vehicles in traffic shall complement in the best possible way the 1949 and 1968 Conventions on Road Traffic, in order to support the safe, homogeneous, and consistent development of automated vehicles in road traffic, without restricting the current margin of manoeuvre of Contracting Parties.
2
3
Economic Commission for Europe
Inland Transport Committee
Global Forum for Road Traffic Safety
Group of Experts on drafting a new legal instrument
on the use of automated vehicles in traffic
First session
Geneva, 1 September 2021
Item 4 of the provisional agenda
Programme of Work
Joint position statement regarding the programme of work of
the Group of Experts on drafting a new legal instrument on
the use of automated vehicles in traffic
Submitted by the representatives of France and Germany
This document proposes discussion elements for the programme of work of the Group
of Experts (GoE) on drafting a new Legal Instrument on the use of Automated Vehicles in
traffic (LIAV), hereunder “the Group”.
Informal document No. 1 (GE.3-01-01)
Distr.: General
27 August 2021
Original: English
Informal document No. 6
2
1. Following the invitation to the first session of the GoE on LIAV by the secretariat,
supported by documents ECE/TRANS/WP.1/GE.3/2021/1 (annotated provisional agenda),
Annex III to ECE/TRANS/2021/6 (Terms of Reference (ToR) of the GoE on LIAV),
ECE/EX/2/Rev.1 (Guidelines for the establishment and functioning of teams of specialists
within UNECE) and ECE/TRANS/WP.1/100/Add. 1 (ToR of the Global Forum for Road
Traffic Safety (WP.1)), France and Germany, with the present document, would like to share
their views and, by doing so, open discussions of the above-mentioned agenda item 4 during
this session.
2. Germany and France support the points listed hereafter:
- As established by the ToR, the main objective to be achieved is the drafting of a new
legal instrument which is expected to complement the 1949 and 1968 Conventions on Road
Traffic. In addition to the typical sections on definitions and final clauses, it will include a
set of legal provisions for the safe deployment of automated vehicles in international traffic.
- In full compliance with the objectives of the Global Forum for Road Traffic Safety
(WP.1), the Group should seek to promote road safety, in the context of the growing
development of automated vehicles. In this matter, particular attention shall be paid to the
safety of vulnerable road users.
- Developing and harmonizing international traffic regulations is crucial in order to
support the safe, homogeneous, and consistent development of automated and autonomous
vehicles in road traffic.
- The Group may usefully consider previous achievements of WP.1 as a basis of
reference, including the Resolution on the deployment of highly and fully automated vehicles
in road traffic (adopted at the seventy-seventh session of the WP.1 in September 2018).
- The Group will hold at least two formal plenary meetings per year at the UNECE
premises in Geneva. The first meeting of the Group will include an initial section on official
matters (Election of officers; Eventual complementary addition with reference to the Rules
of procedure; etc.) but should then start working towards its main output.
- Considering that the subject of automated vehicles in traffic is still rather recent and
constantly evolving, the Group may find it necessary to invite and listen to a wide range of
qualified experts. The expertise of the colleagues at the World Forum for harmonization of
vehicle regulations (WP.29), and in particular those at the Working Party on
Automated/Autonomous and Connected Vehicles (GRVA), could notably help the Group
with its tasks. Activities of the Group could include undertaking studies and advisory
sessions; organizing seminars and workshops; collecting data; and providing information.
- The time schedule for the implementation of the Group’s objectives and activities
shall initially include the full period for which it has been established. At the end of this
period, the Group submits a full report on its accomplishments to its supervising body (i.e.,
the Global Forum for Road Traffic Safety), possibly including a request for extension of the
duration of the Group.
- The baseline identified for the Group is a thorough analysis of the 1949 and 1968
Conventions on Road Traffic, aimed at identifying how the new legal instrument can
complement in the best possible way the aforementioned Conventions without restricting the
current margin of manoeuvre of Contracting Parties.
- The milestones of the Group should include, amongst others, the following:
(a) The successful completion of its establishment by electing its officers, and by
eventually complementing documents ECE/EX/2/Rev.1 and TRANS/WP1/100/Add.1 by a
further set of rules of procedures;
(b) The successful completion of the aforementioned analysis of the 1949 and 1968
Conventions on Road Traffic;
(c) The drafting of an initial set of necessary legal provisions for the safe deployment of
automated vehicles in international traffic;
Informal document No. 61
3
(d) Periodical consultations with the Global Forum for Road Traffic Safety (WP.1), not
fewer than two per year (coinciding with the regular WP.1 sessions);
(e) At the end of the period for which it has been established, the submission of a full
report on its accomplishments to the supervising body.
3. France and Germany conclude that a legal instrument on the use of automated vehicles
in traffic shall complement in the best possible way the 1949 and 1968 Conventions on Road
Traffic, in order to support the safe, homogeneous, and consistent development of automated
vehicles in road traffic, without restricting the current margin of manoeuvre of Contracting
Parties.
The autonomous and connected vehicle is
an opportunity.
It is an opportunity to provide safer mobi-
lity services that are more suited to indivi-
dual needs. It is an industrial opportunity,
an opportunity to grow, to invent, to
progress. It is an opportunity for Europe to
conquer its own technological sovereignty,
not having to depend tomorrow on those
who invest heavily today.
Since May 2018, the national strategy for
the development of autonomous vehicles
aims to make these opportunities real;
to accelerate the development of these
technologies; to integrate them into the
existing mobility services for passengers
and goods in a safe way.
Thanks to the mobility orientation law of
December 2019, France is one of the first
European countries to adopt a legal and
regulatory framework allowing the circula-
tion of these vehicles by 2022. It is a great
pride.
We must now move from pride to reality,
from experimentation to implementa-
tion, from advent to deployment. With
Anne-Marie Idrac, we decided to develop
a second edition of the national strategy.
It should make it possible to amplify the
momentum in favor of automated road
mobility services, and is structured around
three main priorities:
→ Establish partnerships between sectors,
industrial and service stakeholders, new
technology companies and traditional
stakeholders
→ Entrench these new services in the
territories, because the success of their
deployment depends on their integra-
tion into local mobility policies
→ Act on a European scale, because it
is through Europe that we will move
forward on vehicle regulation, on the
interoperability of connectivity systems,
and on support for research and inno-
vation. France intends to be the driving
force behind the construction of this
European framework.
The national strategy for the development
of automated road mobility 2020-2022
responds to these challenges. Like the one
of 2018, its implementation will closely
involve the ecosystem brought together
within France véhicules Autonomes, which
will expand into new sectors, particularly
in the fields of road, logistics and commu-
nications. Its follow-up will be the subject
of a permanent dialogue with civil society
actors on societal, economic and envi-
ronmental issues. Its implementation will
closely involve local communities.
France has been able to innovate, to give
this object a new framework and to get
ahead. Let us give ourselves all the means
to keep it and to accentuate it further.
Jean-Baptiste Djebbari
Deputy Minister for Transportation
Agnès Pannier-Runacher
Deputy Minister for Industry
Since 2017, at the request of the President of the
Republic and the Government, and in close interac-
tion with our rich national ecosystem, I have had
the honor of leading the French strategy for the
development of autonomous vehicles.
My observation is that its founding principles turn
out to be perfectly relevant with regard to techno-
logical and market developments, on at least five
items:
• It combines the challenges of industrial innova-
tions and those related to mobility services
• It chooses progressivity in order to safely cover all
forms of automation
• It is focused on use cases, which makes it possible
to define pragmatic and socially acceptable bu-
siness models
• Its public / private governance promotes the arti-
culation of decision-making processes
• It fits into European and international frameworks
and plays a leading role there
The commitments of 2018 and 2019 have been
fulfilled, both in terms of legislative and regulatory
evolutions and in terms of support for experiments
and innovations - as recalled below.
From now on, we must continue to develop our
strengths and to go forward through the next steps:
• finalize the development of rules allowing vehicles
without an operator on board in some secured
and supervised use cases
• finance full-scale demonstrators
• better take into account the topics of physical
and digital connectivity
• support evolutions in logistics services
• ensure even better the integration of our national
strategy in the European context
I would like to congratulate and thank the adminis-
trations, local communities, industrial and service
companies, research and support organizations
commited in a strategy that is both proactive and
pragmatic.
I trust the Government to support these dynamics
as they serve its objectives of promoting technolo-
gies as well as a more efficient mobility.
Anne-Marie Idrac
former Minister,
High representative in charge of the
French strategy for the development
of autonomous vehicles
France considers the development of automated
vehicles as a double opportunity, technological and
societal :
• For a mobility better suited to demand, cleaner
and more inclusive.
• For the promotion of our assets in the major sec-
tors (automobile, transport services, road, digital)
which are at the forefront of innovation at the
global level.
After several years of experiments since 2015,
France has committed to a global and coherent
strategy for the development of automated
vehicles since the end of 2017 - with the appoint-
ment of a High representative and the implemen-
tation of a collaborative working method between
public authorities and private actors, led by “France
Véhicules Autonomes”.
This working method seeks to adhere to concrete
use cases, made possible by the state of technolo-
gy, respecting security requirements and meeting
user needs.
→ Establish the legislative and regulatory framework
allowing the circulation of automated vehicles in
France by 2022, taking into account the matura-
tion of the various use cases at that time.
→ Support innovation, mainly through experimen-
tation.
→ Prepare the security validation framework at the
national, European and international scales.
→ Assess the acceptability issues and the economic
outlook for deployment more precisely.
→ The scope of the experiments has been extended
to use cases with the operator outside the
vehicle, with specifications regarding the liability
regime and the safety requirements.
→ The experiments develop within a framework to
pool the lessons learned, specifically with regard
to the safety evaluation and the acceptability.
More than 120 authorizations to experiment have
been granted since 2015 and a coordinated pro-
gram (EVRA) was launched in 2019.
→ The legislative framework resulting from the Mo-
bility Orientation Law (24 December 2019) will al-
low the circulation of automated vehicles beyond
the experiments, thanks to an adapted liability
regime, by setting the safety requirements. This
framework :
→ Will cover high levels of automation, for which
the systems are able to handle all driving
situations in their operational domain without
The strategic document released in
May 2018 set four objectives :
The actions carried out are in line with these objectives :
National experimentation program
EVRA
2 projects, 16 experimentations, 3 years,
120 M€ including 42 M€ of subsidies.
→ SAM (« Sécurité et Acceptabilité de la
conduite et de la Mobilité autonome »)
= experiments of roll-out on dual car-
riageways, parking valet, on-demand
transport in urban areas, regular transport
complementary to existing networks,
establishment service from a remote car
park, use of a railway right-of-way , auto-
nomous delivery vehicles)
→ ENA (« Expérimentations de Navettes Au-
tonomes ») = experiments of autonomous
shuttle services complementary to the
urban transport network and rural service.
1.
2.
4.3.
any driver intervention or when the operator is
located outside the vehicle.
→ Will cover the transportation of passengers
and the transportation of goods.
→ Will allow the circulation of public or shared
transport of passengers on predefined routes
in terms of regulations, from 2022. It will rely
on reference documents for safety demonstra-
tion, the first ones being already underway.
→ France has also worked to ensure that internatio-
nal and European regulations are prepared to qui-
ckly host various use cases of automation, with a
systemic vision of safety (vehicles, infrastructure,
connectivity, supervision) and by articulating the
validation tools (audit, simulations, tests). The
international driving regulation (Vienna Conven-
tion) has been adapted to allow the circulation of
highly automated vehicles from 2022, subject to
compliance with technical regulations.
Vision and
strategic
orientations
2020
The vision of the 2020 strategy is to make France
the preferred place in Europe for the deployment
of automated road mobility services, between 2022
and 2025 depending on the use cases:
• in traffic environments adapted to the safety
requirements,
• by responding to the needs of the territories for
various forms of mobility (private, shared, public
transport; passengers and freight).
This vision takes into account a reassessment of the
use cases, their accessible operational domains and
the steps necessary for their deployment:
• We are witnessing the reaffirmation of the po-
tential of mobility services (public, shared) for
passenger transportation, in adapted traffic envi-
ronments.
• The coordinated and supervised operation of
automated vehicles deserves growing interest and
could attract new stakeholders
• Another major development concerns the auto-
mated transport of goods and logistics, for which
the design of use cases has greatly accelerated,
due to the expected efficiency gains, and for ur-
ban logistics the lessons of the crisis of the Covid.
• About private vehicles, the gradual transition
from driving assistance to automation is of great
importance in terms of the safety of behaviors.
The prospects for automated parking manage-
ment services have been confirmed.
→ Deployment of driving assistance systems
→ Preparation for the « level 3 »
→ Autonomous, electric and shared mobility
services in restricted operational domains
(experiments and service pilots between
2022 and 2025 to define the scale-up)
→ Deployment of autonomous, electric and
shared mobility services in a controlled
environment from 2022 without an operator
on board to meet the needs of the territories
→ Development of supervision services
ensuring the efficiency of services
→ Solutions for the transportation of goods in
closed sites and automated transport solutions
for the last kilometer delivery in city centers
remotely supervised between 2022 and 2024
→ Carpools and automated transport
cooperating with the infrastructure
Orientations
for the use cases
MIXEDLOGISTIC
TRANSPORTAUTOMOTIVE
→ The development of safe driving without an ope-
rator on board, which concerns both the design,
the operation, the safety, the acceptability and
the economic profitability of automation. The
remote supervision and intervention refunctions
represent a top-level issue for public action regar-
ding the support to R&D and demonstrators as
well as for the safety evaluation and demonstra-
tion.
→ Improvement of connectivity functions, in order
to help the on-board system in its perception
of the environment, allow remote supervision
and interventions, support the development of
services and the operation of cooperative vehicle
fleets. The deployment of connectivity, mainly
related to infrastructure, raises issues that go
beyond the question of the automation of land
vehicles. At this stage, the strategic choice for
the development of automated vehicles remains
to seek complementarities between C-ITS tech-
nologies and mobile technologies, depending on
the quality requirements of connectivity both for
safety and for the quality of services.
→ The safety validation, which must remain at the
heart of public action, by articulating the na-
tional, European and international scales. The
framework resulting from the Mobility Orienta-
tion Law (LOM) and the first work at the UN has
The three conditions to be met
for scaling up services are:
The 5 main collective challenges
are now:
1.
2.
3.
4.
5.
The operation and the
strengthening of synergies
between the stakeholders
in the industrial and service
sectors.
The appropriation by the
territories of the potential of
automated mobility.
The integration of all
the components of the
system and the service (in
particular the link with the
infrastructure, connectivity,
supervision, operation and
integration into the service
packages of the organizing
authorities).
laid down the principles. It is now necessary to
accelerate nationally the production of reference
documents for safety, in priority for public and
shared transport on predefined routes or zones.
The technical validation doctrine relating to
supervision, connectivity and the use of scenarios
for validation is a priority. We will work on the
targeted safety levels for each use case and take
into account their acceptability.
→ Acceptability, which must remain a topic of liste-
ning, vigilance and permanent interactions with
stakeholders in the ecosystem and, more broadly,
with civil society. The issue of security is likely to
remain central in perceptions, but the willingness
to pay for new services is expected to be increa-
singly important and will be increasingly moni-
tored in consequence.
→ Data management, which becomes central for
the design, validation, learning and operation of
automated mobility systems and services. The
regulatory framework resulting from the Mobi-
lity Orientation Law mainly concerns the use of
learning data and validation data and the use of
data by public authorities ; its implementation
will closely involve stakeholders, especially local
authorities, and will have to ensure coherence
with the European and international framework.
1. 2. 3.
→ Support for innovation, which will be intensified
and expanded to consider the evolution of use
cases, the growing importance of connectivity
and of the contribution of the infrastructure, and
the need to deepen business models. This mainly
involves supporting the services scale-up, which
requires taking into account phases of progressi-
vity (reduced speed, restricted environments) and
the development of new bricks, including aug-
mented perception, supervision and connectivity.
To meet this public support need (estimated at
300 million Euros over the duration of the pro-
gram “Investing for the future” - 2021-2025), the
tools should make it possible to address research
or prototype projects, experiments, services pi-
lots, impact assessments and involvements in the
assets creation operations mainly linked to data
and its use.
→ The European approach, which will be mobilized
even more, through its various levers: mobiliza-
tion of the Horizon Europe research and innova-
tion program, continuation of pilot deployment
projects (making it possible to hasten the conver-
gence between automation and connectivity),
implementation of the vehicle safety certification
framework, standardization of connectivity. In or-
der to achieve this, a mission will be entrusted to
a parliamentarian in coordination with the High
Representative for the Development of Auto-
mated Vehicles.
→ Accompany the local stakeholders, which will
involve local authorities more closely in pre-re-
gulatory and normative technical work and will
facilitate the exchange of experiences and the
provision of technical doctrine and economic
evaluation of new services.
→ The exposure of the strategy, at national and in-
ternational levels. The joint actions by the public
authorities and “France Véhicules Autonomes”
will improve it.
The priority actions
to strengthen concern :
Legislative
and regulatory framework
Technical doctrine
and reference documents for safety
→ Finalize the legislative and regulatory framework
for the operation of automated vehicles resulting
from article 31 of the Mobility Orientation Law,
for vehicles with a driver on board and for those
(including without a driver on board) used as
part of an organized transport of passengers on a
predefined route or zone on the other hand (Q1
2022)
→ Finalize the legislative and regulatory framework
relating to data of automation systems, from Ar-
ticle 32 of the Mobility Orientation Law (Q4 2021)
→ Define the regulatory needs for automated frei-
ght and logistics use cases (Q2 2021)
→ Develop the relevant regulatory framework for
the use of automated freight and logistics (Q4
2022)
→ Participate in European work about the develop-
ment of the driving license directive
→ Produce reference documents for safety demons-
tration for organized transport of passengers on
a predefined route or area (in particular: applica-
tion of the globally-at-least-as-safe approach to
systems, including supervision; characterization of
routes and traffic hazards; reference driving scena-
rios for validation; characterization of supervision
functions; reference safety levels) (Q2 2022)
→ In application of the framework for the circula-
tion of automated urban logistics use cases, de-
fine and produce the first reference documents
for safety demonstration (Q4 2022)
→ Develop a French doctrine for the use of critical
scenarios for validation (Q1 2022)
→ Establish the priority needs of connectivity for au-
tomation use cases, in priority for public or shared
autonomous transport supervised with a remote
operator, then the needs in terms of informational
content, quality and security, then the needs for
deployment on the various networks and the asso-
ciated economic models (2021 and 2022)
→ Continue and increase French participation in
European and international working groups for
the quality of HD mapping; establish, with a
medium-term certification objective, the specific
quality criteria (precision, completeness) of HD
mapping in response to the needs by use cases, as
part of a progressive evaluation of experiments,
depending on the operational domains and levels
of automation. Identify the public and regulatory
data necessary for the development of global and
uniform automation solutions (speed limits, road
restrictions, road regulations) and the State for
the sovereign exercise of public policy missions
(safety, organization of mobility, police power).
Propose an associated governance in accor-
dance with national data regulations and within
the framework of a European and international
consensus (2021 and 2022).
→ Amplify the action and the role of the «State -
industrial stakeholders» cybersecurity working
group by integrating the entire ecosystem (shuttle
manufacturers, public authorities for mobility,
etc.).
→ Establish synergies between the various research
projects relating to the cybersecurity of connec-
ted and automated mobility - in particular those
relating to the programs “Investing for the future”
(PIA) and / or which benefit from monitoring by
the national research agency (ANR) - and the
future cyber campus under the leadership of the
ANSSI which is due to open in Q2 2021
→ Put forward a French doctrine on the future Eu-
ropean certification scheme in terms of cyber-se-
curity of systems of systems which will make it
possible to develop a framework for assessing
the level of security, drawing on the expertise of
France, which will be suitable for complex sys-
tems such as an automated vehicle (2022)
→ Define the content of information for customers
of automated driving systems in consultation
between the public authorities and the sales and
rental professionals.
M E A S U R E S
French strategy for the development
of automated road mobility 2020 – 2022
Support for research
and innovation
Animation, support,
communication, governance
→ Design, in conjunction with the regions, a large-
scale multi-year support program for automated
and connected road mobility systems and ser-
vices (2021), which will concern in particular :
→ pilots of mobility services in restricted traffic
environments
→ experiments and pilots of freight and auto-
mated logistic services in a secure area
→ the connectivity equipment of sites or pilot
courses for experimentation with automation
cases
→ systems and software for the supervision, ope-
ration and cooperation of automated vehicles
→ data platforms for security, traffic manage-
ment and infrastructure knowledge;
→ the basics of driving scenarios
→ the safety of human-machine interfaces
→ Bring together, on a quarterly basis, the main
representatives of the sectors and ecosystems
concerned, under the leadership of the high re-
presentative of the strategy for development, to
identify any need to adjust priorities and time-
tables (from Q1 2021)
→ Conduct a reflection on the opportunities for
sovereign partnerships (French and / or European)
on key building blocks of systems, including
connectivity, operating systems, scenario bases,
simulation tools) (Q4 2021) (*)
→ Establish an inventory of supply and demand
for software engineering training adapted to the
needs of automated systems (Q4 2021)
→ Establish an inventory of supply and demand for
skills and training in supervision and operation of
automated vehicle fleets (Q4 2021)
→ Continue to facilitate and monitor issues of indi-
vidual and social acceptability (2021-2022)
→ Develop a shared methodological document, fed
by the experimentation programs, on the impact
assessment, particularly environmental and so-
cial, of automated mobility projects (Q1 2022)
→ Establish a methodological guide for the econo-
mic evaluation of automated mobility services
(Q1 2022)
→ Establish a methodological guide on the connecti-
vity deployment needs for automation functions
on the different types of road networks (Q4 2021)
→ Promote automated mobility projects on the
www.francemobilites.fr platform (2021-2022)
→ Strengthen the French presence in European
frameworks and projects (*)
→ Promote the productions of the national
eco-system on automated vehicles (regulatory
framework, experiments, research programs,
innovation trends) on a dedicated website (Q3
2021)
→ Establish, in conjunction with the Organizing
Committee, a visibility program for the offer of
the national ecosystem for the 2024 Olympic
Games (Q4 2022)
(*) : these two actions will be carried out within the framework of the mission entrusted by the Minister for Transport to a Member of
Parliament, in coordination with the High Representative for the development of automated vehicles.
→ Define modules of theoretical initial and practical
training courses in automated driving, as well as
continuing training modules.
→ Conduct a study on the impact of the develop-
ment of automated vehicles and the regulatory
framework on state services, particularly at de-
centralized and territorial levels (2022)
* Year selection only affects the "Wood Energy Sources and Uses"
1
Total Population
810,138,548
2
Rural Population (% of total)
22.3%
Woody Biomass Supply
2017
2015
2013
2011
2009
2007
2005
3
Roundwood removals from forest and outside forest (1000m3)
1,038,334
1,024,064
843,444
910,248
838,837
1,210,203
995,703
4
Roundwood supply from forest and outside forest including net trade (1000m3)
1,027,981
1,019,567
838,040
909,320
821,446
1,168,661
1,011,844
5
Total calculated domestic supply of woody biomass (1000m3)
1,624,172
1,601,393
1,390,603
1,494,276
1,297,416
1,679,045
Energy Resources
2017
2015
2013
2011
2009
2007
2005
6
Total primary energy supply, TPES (ktoe)
3,852,890
3,865,968
3,627,303
4,019,732
4,082,578
4,390,095
3,734,501
7
Share of renewables (RES) in TPES
10.7%
10.3%
9.3%
8.6%
6.5%
6.0%
6.4%
8
Total wood energy supply, volume basis (1000 m3)
696,593
726,604
581,422
595,185
588,297
691,526
232,522
9
Total wood energy supply, energy basis (ktoe)
146,306
151,076
127,823
132,738
131,796
216,173
Wood Energy Intensity
2017
2015
2013
2011
2009
2007
2005
10
Average wood energy consumption (m3/capita)
0.86
0.91
0.85
0.73
0.74
0.91
0.39
11
Fuelwood consumption per rural inhabitant (m3/inhabitant)
1.13
0.63
0.89
0.75
0.86
1.00
0.00
12
Pellets consumption per inhabitant (kg/capita)
25.99
24.18
24.85
16.77
10.48
8.09
Role of Wood Energy in Forest Sector
2017
2015
2013
2011
2009
2007
2005
13
Share of net annual increment directly used for energy (%)
7.7%
10.3%
9.8%
8.2%
6.4%
4.5%
5.4%
14
Share of Roundwood supply directly used for energy purposes (%)
22.9%
27.1%
21.7%
21.0%
24.6%
15.1%
8.2%
15
Share of calculated domestic consumption of woody biomass used for energy purposes (%)
42.9%
45.4%
41.8%
39.8%
45.3%
41.2%
Role of Wood Energy in Energy Sector
2017
2015
2013
2011
2009
2007
2005
16
Share of woody biomass in TPES (%)
3.8%
3.9%
3.5%
3.3%
2.9%
4.9%
1.3%
17
Share of woody biomass in RES (%)
35.4%
37.9%
37.9%
38.6%
44.5%
81.5%
19.7%
18
Share of wood energy generated from black liquor, energy basis (%)
26.8%
21.3%
29.5%
29.4%
24.9%
73.4%
19
Imported wood fuel as share of wood energy, volume basis (%)
5.2%
5.0%
6.7%
4.5%
1.9%
1.0%
'Analysis 2007'!A1:CF70
Wood Energy Sources and Uses in 2017 [1000 m3]
U1 Power and Heat
U2 Industrial
U3 Residential
U4 Other
Sum
%
S1 Direct
26,801.4
4,374.1
196,408.2
8,111.6
235,695.3
33.8%
S2 Indirect
58,286.7
238,710.2
49,059.8
8,496.4
354,553.1
50.9%
S3 Recovered
23,209.8
9,377.6
3,165.6
1,058.1
36,811.2
5.3%
S4 Unspecified
33,606.5
21,159.5
2,479.0
12,288.4
69,533.5
10.0%
Sum
141,904.5
273,621.4
251,112.7
29,954.6
%
20.4%
39.3%
36.0%
4.3%
696,593.1
Notes/Comments:
1. The category "JWEE total 2017" refers to the set of responding countries providing sufficiently detailed data for 2017. This includes Armenia, Austria, Azerbaijan, Belarus, Bosnia and Herzegovina, Canada, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Georgia, Germany, Iceland, Ireland, Italy, Liechtenstein, Lithuania, Luxembourg, Netherlands, North Macedonia, Norway, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, Ukraine, United Kingdom and the United States.
Disclaimer: Data comparisons between reference years are only indicative, due to changes in national and international statistical methodologies.
U1 Power and Heat U2 Industrial U3 Residential U4 Other 0.20371213254458462 0.39279941466138452 0.36048686892398235 4.3001583870048404E-2
2017
2017
Population
Rural Population (share)
Roundwood and Fuelwood removals from forest and outside forest (1000m3)
Roundwood and Fuelwood supply from forest and outside forest including net trade (1000m3)
SWE + (S1 -S4) Total calculated domestic consumption of woody biomass (1000m3)
Autor: see comment in external data sheet
Total primary energy supply, TPES (ktoe)
Share of renewables (RES) in TPES from ktoe
Total wood energy generation (1000m3)
Total wood energy generation (ktoe) (calculation totals*heating value)
Average wood energy consumption (m3/capita)
Fuelwood consumption per rural inhabitant (m3/inhabitant)
Pellets consumption per inhabitant (kg/inhabitant)
S1 (from Forests)/Net Annual Increments
Share of Total Roundwood supply directly used for energy purposes (%)
Share of energy use in calculated domestic consumption of woody biomass (%)
Share of woody biomass in TPES (%) (from TJ)
Share of woody biomass in RES (%) (from TJ)
Share of wood energy generated from black liquor (%) (heating value)
Imported wood fuel as share of wood energy (%)
1-S1-U1
1-S1-U2
1-S1-U3
1-S1-U4
1-S2-U1
1-S2-U2
1-S2-U3
1-S2-U4
1-S3-U1
1-S3-U2
1-S3-U3
1-S3-U4
1-S4-U1
1-S4-U2
1-S4-U3
1-S4-U4
Total wood energy consumption in TJ
Black liquor in TJ
woodfuel imports in 1000 m3
country
fuelwood supply
pellet consumption
Albania
2,884,169
0.45
n/a
n/a
n/a
2,354
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Armenia
2,944,789
0.38
668
669
2,294
3,188
0
542
110
0
1
0
2
1
0
0
0
0
0
0
0
480
0
0
0
62
0
0
0
0
0
0
0
0
0
4,613
0
1
665,900
2,062
480
Austria
8,819,902
0.33
18,119
26,322
47,467
33,486
0
24,569
5,021
3
2
108
0
0
1
0
1
0
0
0
20
6,639
431
6,505
7,906
1,417
1,233
417
0
0
0
0
0
0
0
210,202
41,125
1,878
5,341,990
952,750,000
5,366
Azerbaijan
9,845,316
0.45
151
151
2,154
14,337
0
151
35
0
0
0
0
1
0
0
0
0
0
1
6
53
85
0
0
2
4
0
0
0
0
0
0
0
0
1,457
0
0
151,000
0
0
Belarus
9,450,233
0.22
19,493
17,498
25,622
25,513
0
7,797
1,568
1
3
2
0
0
0
0
1
0
0
1,452
91
1,837
804
2,045
1,167
181
221
0
0
0
0
0
0
0
0
65,653
42
29
5,306,454
16,600,000
4,183
Belgium
11,419,752
0.02
n/a
n/a
n/a
55,252
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Bosnia and Herzegovina
3,351,534
0.68
4,375
3,438
3,023
6,758
0
277
50
0
0
51
0
0
0
0
0
1
0
0
0
0
0
0
187
90
0
0
0
0
0
0
0
0
0
2,114
1,663
40
614,400
169,960,000
0
Bulgaria
7,102,452
0.25
n/a
n/a
n/a
18,745
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Canada
36,732,091
0.18
177,335
175,679
133,182
289,062
0
73,251
15,067
2
3
20
0
0
1
0
0
0
0
0
0
22,496
0
0
45,645
5,109
0
0
0
0
0
0
0
0
0
630,844
199,049
158
22,575,573
739,000,000
22,496
Croatia
4,182,847
0.41
6,297
5,379
5,642
8,748
0
3,435
885
1
1
10
0
0
1
0
0
0
0
397
0
2,130
0
43
247
415
0
23
180
0
0
0
0
0
0
37,035
0
166
1,174,130
42,370,000
1,538
Cyprus
1,179,685
0.33
24
27
307
2,218
0
112
15
0
0
3
0
0
0
0
0
0
1
0
0
12
0
0
2
43
56
0
0
0
0
0
0
0
0
640
0
92
15,980
3,370,000
9
Czech Republic
10,641,032
0.28
21,977
17,089
22,280
43,329
0
13,544
2,753
1
1
9
0
0
1
0
1
0
0
0
0
8,243
0
2,206
2,151
546
101
0
0
296
0
0
0
0
0
115,265
8,164
285
4,273,000
94,000,000
6,267
Denmark
5,732,277
0.12
n/a
n/a
n/a
17,007
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Estonia
1,319,389
0.31
11,299
8,711
12,861
5,707
0
5,420
1,120
4
8
148
0
0
0
0
1
0
0
995
9
1,323
33
1,020
923
712
70
302
0
32
0
0
0
0
0
46,897
1,568
83
3,407,439
194,977,319
1,721
Finland
5,511,372
0.15
66,094
69,958
81,945
33,277
0
41,492
8,717
8
13
68
0
0
1
0
1
0
0
4,917
546
5,401
807
5,726
22,210
630
209
729
51
232
34
0
0
0
0
364,947
154,761
240
10,713,823
373,450,000
11,671
France
64,842,513
0.20
51,269
48,189
96,117
247,086
0
42,729
10,283
1
1
22
0
1
0
0
0
0
0
2,330
1,554
19,940
1,132
2,030
5,750
7,427
1,061
797
470
0
238
0
0
0
0
430,525
32,447
1,829
19,067,000
1,424,320,000
19,002
Georgia
4,008,723
0.49
1,923
1,914
2,873
4,808
0
1,922
388
0
0
0
0
1
1
0
0
0
0
0
6
1,849
18
0
0
48
1
0
0
0
0
0
0
0
0
16,231
0
0
471,500
0
0
Germany
82,658,409
0.24
65,717
70,695
145,711
311,245
0
59,684
13,075
1
1
27
0
0
0
0
0
0
0
3,432
1,416
19,545
2,949
3,278
5,695
6,422
3,181
7,805
3,219
1,208
716
445
184
27
162
547,404
25,683
2,598
22,649,116
2,190,500,000
22,133
Hungary
9,729,822
0.28
n/a
n/a
n/a
26,649
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Iceland
334,395
0.06
4
5
198
5,471
1
74
9
0
0
2
0
1
0
0
0
0
1
0
2
0
0
0
0
0
72
0
0
0
0
0
0
0
0
380
0
80
1,420
520,000
2
Ireland
4,753,281
0.37
3,342
3,630
2,945
13,639
0
1,356
289
0
0
20
0
0
0
0
0
0
0
19
0
322
0
623
0
58
0
334
0
0
0
0
0
0
0
12,102
0
153
321,170
96,800,000
322
Italy
60,673,694
0.31
12,928
16,193
85,058
153,445
0
44,811
9,055
1
1
36
0
2
1
0
0
0
0
0
0
28,049
0
8,773
973
5,465
492
0
1,059
0
0
0
0
0
0
379,115
544
5,623
11,903,900
2,171,020,000
0
Kazachstan
18,080,023
0.44
n/a
n/a
n/a
84,988
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Latvia
1,951,097
0.34
n/a
n/a
n/a
4,400
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Liechtenstein
37,805
0.86
16
16
23
0
0
19
4
1
0
0
0
0
1
n/a
n/a
0
0
0
0
5
0
0
0
15
0
0
0
0
0
0
0
0
0
164
0
0
16,000
0
0
Lithuania
2,845,419
0.35
6,888
5,434
12,018
7,545
0
6,491
1,304
2
2
11
0
0
1
0
1
0
0
0
0
0
0
0
0
19
0
0
0
0
0
3,214
627
2,401
230
54,582
0
533
1,858,340
31,760,000
0
Luxembourg
591,914
0.09
433
923
802
3,775
0
421
136
1
2
43
0
0
1
0
0
0
0
0
0
89
0
182
93
57
0
0
0
0
0
0
0
0
0
5,690
0
53
93,660
25,180,000
89
Montenegro
627,563
0.35
n/a
n/a
n/a
1,018
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Netherlands
17,021,343
0.08
3,184
2,488
12,848
74,203
0
4,385
937
0
0
19
0
1
0
0
0
0
0
165
0
1,606
87
54
139
282
161
1,434
0
457
0
0
0
0
0
39,226
0
915
339,628
328,800,000
338
North Macedonia
2,081,996
0.43
764
807
1,655
2,723
0
677
136
0
1
37
0
1
0
0
0
0
0
0
0
524
131
0
0
19
3
0
0
0
0
0
0
0
0
5,698
0
200
674,960
77,040,000
655
Norway
5,296,324
0.19
12,187
9,230
12,901
29,985
0
3,990
787
1
2
1
0
0
0
0
0
0
0
0
0
1,757
0
0
1,073
248
0
0
0
0
0
912
0
0
0
32,943
0
447
1,808,840
7,880,000
1,757
Poland
37,953,176
0.40
n/a
n/a
n/a
103,845
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Portugal
10,288,527
0.37
n/a
n/a
n/a
22,770
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Republic of Moldova
4,059,687
0.46
n/a
n/a
n/a
3,850
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Romania
19,653,966
0.49
n/a
n/a
n/a
33,331
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Russian Federation
145,530,091
0.25
n/a
n/a
n/a
732,160
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Serbia
8,829,623
0.47
7,789
7,756
15,510
15,609
0
7,406
1,494
1
1
37
1
1
0
0
1
0
0
12
201
5,370
271
8
647
642
211
0
0
43
0
0
0
0
0
62,556
0
190
5,490,000
330,000,000
5,039
Slovak Republic
5,447,903
0.47
10,054
8,965
10,077
17,400
0
4,478
1,282
1
0
9
0
0
0
0
1
0
0
1,170
0
817
28
516
1,629
225
9
0
0
45
39
0
0
0
0
53,693
5,778
153
705,000
50,000,000
1,425
Slovenia
2,076,395
0.51
4,779
2,583
5,932
6,907
0
2,696
660
1
1
54
0
1
0
0
1
0
0
0
0
1,601
0
223
526
232
63
0
0
0
0
0
0
51
0
27,625
0
709
724,719
112,685,000
1,338
Sweden
9,904,895
0.14
74,817
81,874
96,157
49,174
0
45,650
9,496
5
5
183
0
0
0
0
0
0
0
6,677
0
3,873
590
7,502
21,460
1,245
1,066
3,238
0
0
0
0
0
0
0
397,599
159,041
976
6,339,770
1,810,300,000
10,998
Switzerland
8,455,797
0.26
5,544
5,160
10,246
23,678
0
5,138
1,064
1
1
28
0
1
1
0
0
0
0
1,059
59
1,113
490
161
601
547
40
755
306
0
7
0
0
0
0
44,542
0
712
2,092,000
234,880,000
2,411
Turkey
81,116,451
0.25
n/a
n/a
n/a
146,797
0
n/a
n/a
n/a
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
Ukraine
44,487,708
0.30
18,337
17,011
29,771
89,463
0
15,258
3,059
0
1
14
0
1
1
0
1
0
0
4,023
154
7,578
256
2,277
101
829
40
0
0
0
0
0
0
0
0
128,056
0
8
8,848,200
622,000,000
0
United Kingdom
66,727,463
0.16
12,950
13,082
61,578
175,883
0
33,681
6,906
1
0
106
0
1
1
0
0
0
1
151
311
7,702
0
15,115
6,120
2,575
203
605
45
852
1
0
0
0
0
289,122
0
17,005
2,138,860
7,046,000,000
5,581
United States
325,084,758
0.18
419,578
407,106
684,973
2,155,230
0
245,138
50,602
1
1
6
0
0
0
0
0
0
0
0
0
46,054
0
0
113,465
13,498
0
6,770
4,048
0
22
29,035
20,349
0
11,896
2,118,624
1,010,057
1,356
64,227,020
1,907,640,000
0
JWEE total
810,138,548
0.22
1,038,334
1,027,981
1,624,172
3,852,890
0
696,593
146,306
1
1
26
0
0
0
0
0
0
0
26,801
4,374
196,408
8,112
58,287
238,710
49,060
8,496
23,210
9,378
3,166
1,058
33,607
21,159
2,479
12,288
6,125,545
1,639,921
36,511
204,010,792
21,053,804,381
124,822
JWEE 12
264,351,249
0.22
310,876
330,198
564,717
915,976
0
264,934
57,155
1
1
55
0
0
0
0
0
0
0
18,597
4,107
71,606
6,670
41,353
71,009
21,295
7,323
14,681
4,092
2,335
997
445
184
79
162
2,392,955
413,057
26,433
74,988,088
14,600,235,000
83,959
JWEE Europe (excluding the Russian Federation)
378,447,723
0.24
400,753
407,814
743,942
1,271,754
0
352,400
75,451
1
1
47
0
0
0
0
0
0
0
21,325
4,118
116,017
6,818
53,965
78,331
29,375
8,228
16,440
5,330
3,166
1,036
4,571
810
2,479
392
3,158,981
430,773
34,760
101,756,085
17,691,524,381
97,487
external data reference
Population
Rural Population (share)
SWE in 1000 m3
TPES in ktoe
RES in TPES (share)
Net Annaul Increment in 1000 m3
TPES in TJ
RES in TJ
*We could make this better when converting with TJ figures.
*most often: bark, charcoal
JWEE total
Armenia, Austria, Azerbaijan, Belarus, Bosnia and Herzegovina, Canada, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Georgia, Germany, Iceland, Ireland, Italy, Liechtenstein, Lithuania, Luxembourg, Netherlands, North Macedonia, Norway, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, Ukraine, United Kingdom and the United States
JWEE 12
Austria, Cyprus, Finland, France, Germany, Ireland, Luxembourg, Serbia, Slovenia, Sweden, Switzerland and the United Kingdom
Europe excl. Russia
Armenia, Austria, Bosnia and Herzegovina, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Germany, Iceland, Ireland, Italy, Liechtenstein, Lithuania, Luxembourg, Netherlands, Norway, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland and the United Kingdom
2015
2015
Population
Rural Population (share)
Roundwood and Fuelwood removals from forest and outside forest (1000m3)
Roundwood and Fuelwood supply from forest and outside forest including net trade (1000m3)
SWE + (S1 -S4) Total calculated domestic consumption of woody biomass (1000m3)
Autor: see comment in external data sheet
Total primary energy supply, TPES (ktoe)
Share of renewables (RES) in TPES from ktoe
Total wood energy generation (1000m3)
Total wood energy generation (ktoe) (calculation totals*heating value)
Average wood energy consumption (m3/capita)
Fuelwood consumption per rural inhabitant (m3/inhabitant)
Pellets consumption per inhabitant (kg/inhabitant)
S1 (from Forests)/Net Annual Increments
Autor: see comment in external data sheet
Share of Total Roundwood supply directly used for energy purposes (%)
Share of energy use in calculated domestic consumption of woody biomass (%)
Share of woody biomass in TPES (%) (from TJ)
Share of woody biomass in RES (%) (from TJ)
Share of wood energy generated from black liquor (%) (heating value)
Imported wood fuel as share of wood energy (%)
1-S1-U1
1-S1-U2
1-S1-U3
1-S1-U4
1-S2-U1
1-S2-U2
1-S2-U3
1-S2-U4
1-S3-U1
1-S3-U2
1-S3-U3
1-S3-U4
1-S4-U1
1-S4-U2
1-S4-U3
1-S4-U4
Total wood energy consumption in TJ
Black liquor in TJ
woodfuel imports in 1000 m3
country
fuelwood supply
pellet consumption
Albania
2,923,352
0.47
n/a
n/a
n/a
2189.67
0.34
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Armenia
2,916,950
0.38
0
0
2,165
3067.47
0.12
507
102
0.17
0.00
0.00
1.60
2577.21
0.23
0.03
0.27
0.00
0.00
0
5
502
0
0
0
0
0
0
0
0
0
0
0
0
0
4,263
0
0
3
290
507
Austria
8,678,657
0.34
18,210
25,725
45,189
32793.80
0.29
23,606
4,802
2.72
1.94
93.76
0.25
0.29
0.52
0.15
0.50
0.14
0.08
0
0
6,859
529
6,352
7,357
1,105
1,404
0
0
0
0
0
0
0
0
201,038
27,826
1,909
5,645,340
813,710,000
5,640
Azerbaijan
9,617,484
0.45
390
390
1,774
14355.81
0.02
382
74
0.04
0.09
0.00
0.00
0.89
0.22
0.01
0.28
0.00
0.00
0
0
235
110
0
0
24
12
0
0
0
0
0
0
0
0
3,090
0
0
390,000
0
0
Belarus
9,485,772
0.23
n/a
n/a
n/a
25266.74
0.05
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
1.93
35.34
0.33
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Belgium
11,287,940
0.02
n/a
n/a
n/a
53269.08
0.07
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0.91
13.40
0.33
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Bosnia and Herzegovina
3,535,961
0.65
4,511
3,816
5,535
8032.08
0.25
3,502
704
0.99
0.34
16.90
0.00
0.92
0.63
0.09
0.35
0.00
0.00
0
78
3,385
40
0
0
0
0
0
0
0
0
0
0
0
0
29,481
0
3
791,940
59,770,000
0
Bulgaria
7,177,396
0.26
n/a
n/a
n/a
18607.00
0.11
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Canada
35,949,709
0.18
166,817
165,837
131,295
270191.79
0.18
66,584
13,715
1.85
2.37
27.11
0.04
0.09
0.51
0.05
0.28
0.39
0.00
0
0
15,387
0
0
48,048
3,150
0
0
0
0
0
0
0
0
0
574,232
221,240
229
15,427,157
974,450,000
15,387
Croatia
4,236,016
0.41
6,169
5,234
5,735
8397.49
0.23
3,533
924
0.83
0.64
4.49
0.21
0.54
0.62
0.11
0.47
0.00
0.02
121
49
2,668
0
67
72
353
0
23
180
0
0
0
0
0
0
38,701
0
88
1,113,000
19,000,000
1,849
Cyprus
1,160,985
0.33
20
23
229
2014.31
0.07
106
15
0.09
0.03
4.98
0.18
0.51
0.46
0.01
0.10
0.00
0.85
0
0
12
0
0
1
39
54
0
0
0
0
0
0
0
0
626
0
90
9,820
5,780,000
6
Czech Republic
10,603,762
0.27
20,093
17,750
22,214
42147.82
0.10
12,970
2,615
1.22
1.44
6.04
0.30
0.47
0.58
0.06
0.61
0.07
0.02
0
0
8,384
0
1,620
2,251
547
131
0
35
0
0
0
0
0
0
109,506
8,118
276
4,194,000
64,000,000
6,122
Denmark
5,688,695
0.12
n/a
n/a
n/a
16096.14
0.30
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Estonia
1,315,321
0.32
10,061
7,671
10,871
5423.86
0.17
5,096
1,042
3.87
7.74
160.44
0.20
0.28
0.47
0.19
1.15
0.04
0.01
805
22
1,292
25
1,334
1,020
548
23
29
0
0
0
0
0
0
0
43,641
1,544
67
3,214,904
211,023,900
1,947
Finland
5,481,966
0.16
63,479
68,370
77,670
32486.31
0.32
37,821
7,950
6.90
13.85
55.03
0.13
0.16
0.49
0.24
0.76
0.43
0.00
4,762
617
4,668
689
4,912
20,027
1,012
234
621
39
169
72
0
0
0
0
332,868
142,056
178
11,931,100
301,660,000
10,735
France
64,457,201
0.21
51,005
47,502
93,166
246505.85
0.09
40,657
9,744
0.63
1.41
16.55
0.22
0.48
0.44
0.04
0.45
0.08
0.04
1,818
1,658
19,472
0
1,105
5,126
7,037
2,222
1,253
967
0
0
0
0
0
0
407,977
34,211
1,578
18,704,230
1,066,900,000
18,080
Georgia
3,951,524
0.51
2,021
2,017
3,009
4631.41
0.25
2,122
426
0.54
0.24
0.02
0.00
1.05
0.71
0.09
0.37
0.00
0.00
0
4
2,082
35
0
0
1
0
0
0
0
0
0
0
0
0
17,856
0
1
484,600
60,000
0
Germany
81,707,789
0.25
55,613
61,010
132,125
307794.74
0.12
58,143
13,009
0.71
0.54
21.49
0.25
0.45
0.44
0.04
0.34
0.05
0.06
3,661
2,715
20,111
1,112
3,598
7,296
6,045
1,433
6,039
4,479
1,410
41
106
79
0
19
544,661
27,447
3,600
10,968,060
1,755,694,000
23,342
Hungary
9,783,925
0.29
n/a
n/a
n/a
25209.30
0.12
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Iceland
330,243
0.06
4
4
171
5582.98
0.88
26
5
0.08
0.05
1.82
0.17
0.58
0.15
0.00
0.00
0.00
0.12
2
0
0
0
2
22
0
0
0
0
0
0
0
0
0
0
222
0
3
1,020
600,000
2
Ireland
4,700,107
0.37
2,943
2,929
3,297
13263.42
0.08
1,686
351
0.36
0.18
12.91
0.06
0.10
0.51
0.03
0.33
0.00
0.04
96
0
209
0
248
810
38
35
0
251
0
0
0
0
0
0
14,685
0
74
313,430
60,700,000
300
Italy
59,504,212
0.32
5,052
8,565
83,077
152604.76
0.17
42,701
8,623
0.72
0.21
34.97
0.00
3.13
0.51
0.06
0.33
0.00
0.12
0
0
26,786
0
8,644
939
4,945
414
0
974
0
0
0
0
0
0
361,020
551
5,274
4,052,510
2,080,740,000
0
Kazachstan
17,749,648
0.44
n/a
n/a
n/a
78092.74
0.01
n/a
n/a
n/a
n/a
n/a
0.00
n/a
n/a
0.62
54.70
0.33
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Latvia
1,992,663
0.33
13,594
11,981
6,782
4262.68
0.36
2,992
601
1.50
3.51
75.78
0.03
0.05
0.44
0.14
0.39
0.00
0.11
66
223
322
32
810
1,235
172
132
0
0
0
0
0
0
0
0
25,172
0
331
2,328,709
151,000,000
642
Liechtenstein
37,403
0.86
n/a
n/a
n/a
0.00
0.00
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Lithuania
2,931,926
0.34
6,664
5,448
11,106
7221.94
0.20
6,182
1,241
2.11
1.92
24.56
0.00
0.00
0.56
0.17
0.88
0.00
0.05
0
0
0
0
0
0
0
21
0
0
0
0
2,871
547
2,525
217
51,975
0
286
1,928,000
72,000,000
0
Luxembourg
566,741
0.09
479
581
732
3725.06
0.05
321
106
0.57
2.10
1.76
0.20
0.19
0.44
0.03
0.52
0.00
0.10
0
0
110
1
97
103
9
0
0
0
0
0
0
0
0
0
4,446
0
32
112,000
1,000,000
112
Montenegro
628,178
0.36
1,160
699
1,593
1010.37
0.31
784
158
1.25
1.77
10.19
0.00
1.00
0.49
0.16
0.51
0.00
0.01
0
42
637
19
0
2
74
9
0
0
0
0
0
0
0
0
6,605
0
7
396,630
6,400,000
0
Netherlands
16,938,499
0.09
3,053
2,420
12,181
73831.16
0.05
4,615
981
0.27
0.22
12.91
0.21
0.89
0.38
0.01
0.27
0.00
0.13
197
0
1,677
278
22
158
287
210
1,397
0
344
44
0
0
0
0
41,052
0
595
345,000
218,600,000
414
Norway
5,199,836
0.19
11,984
8,435
12,367
29616.39
0.45
4,240
836
0.82
1.88
20.19
0.09
0.22
0.34
0.03
0.06
0.00
0.13
0
0
1,827
0
0
1,240
364
0
0
0
0
0
808
0
0
0
34,996
0
544
1,885,140
104,990,000
1,827
Poland
38,265,226
0.39
41,680
41,643
84,605
94928.75
0.09
51,825
10,419
1.35
0.34
15.88
0.87
1.24
0.61
0.11
1.16
0.00
0.02
9,316
9,464
26,646
6,400
0
0
0
0
0
0
0
0
0
0
0
0
436,226
0
880
5,136,460
607,580,000
51,825
Portugal
10,418,473
0.37
11,533
13,181
26,646
21965.75
0.23
17,645
3,662
1.69
0.15
38.59
0.40
0.51
0.66
0.17
0.74
0.31
0.02
0
0
6,678
0
2,655
7,946
259
106
0
0
0
0
0
0
0
0
153,311
48,240
388
596,543
402,002,542
6,678
Republic of Moldova
4,065,980
0.46
1,497
1,527
5,309
3381.63
0.10
3,623
730
0.89
0.78
0.00
0.15
2.29
0.68
0.22
2.10
0.00
0.00
0
10
3,413
75
0
3
113
8
0
0
0
0
0
0
0
0
30,559
0
5
1,472,838
0
3,498
Romania
19,876,621
0.49
n/a
n/a
n/a
31906.06
0.19
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Russian Federation
143,888,004
0.26
n/a
n/a
n/a
709731.51
0.02
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Serbia
8,851,280
0.47
7,655
7,766
14,744
14755.59
0.13
6,947
1,396
0.78
1.29
19.66
1.11
0.77
0.47
0.09
0.72
0.00
0.01
10
182
5,466
293
7
458
349
144
0
0
38
0
0
0
0
0
58,443
0
44
5,408,000
174,000,000
5,116
Slovak Republic
5,439,318
0.47
10,580
8,098
9,498
16392.42
0.10
4,345
1,199
0.80
0.48
5.06
0.12
0.23
0.46
0.07
0.76
0.12
0.02
993
0
859
26
1,020
1,311
50
52
23
6
6
0
0
0
0
0
50,207
6,056
70
1,219,397
27,500,000
1,448
Slovenia
2,074,788
0.50
5,324
3,090
6,278
6571.37
0.16
2,877
691
1.39
0.97
66.57
0.16
0.49
0.46
0.11
0.65
0.00
0.20
0
0
1,528
0
220
484
346
23
0
0
10
0
0
0
264
0
28,918
0
589
1,014,352
138,120,000
1,257
Sweden
9,763,565
0.14
74,169
80,749
91,095
45450.61
0.42
44,233
9,172
4.53
4.44
154.68
0.13
0.14
0.49
0.20
0.48
0.42
0.03
6,712
0
3,982
507
7,351
21,921
1,084
663
2,012
0
0
0
0
0
0
0
384,003
159,402
1,253
6,108,910
1,510,240,000
11,033
Switzerland
8,319,769
0.26
5,493
5,051
10,294
24533.32
0.22
4,811
996
0.58
0.99
25.24
0.39
0.50
0.47
0.04
0.18
0.00
0.11
890
73
1,168
412
148
621
471
45
682
294
0
7
0
0
0
0
41,682
0
510
2,121,000
210,000,000
2,158
North Macedonia
2,079,308
0.44
n/a
n/a
n/a
2678.35
0.16
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Turkey
78,271,472
0.26
n/a
n/a
n/a
128810.24
0.12
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
Ukraine
44,657,704
0.30
n/a
n/a
n/a
90089.64
0.03
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
0
0
0
n/a
n/a
0
United Kingdom
65,397,080
0.17
12,446
12,221
60,213
180749.26
0.08
34,129
6,101
0.52
0.13
104.03
0.29
0.64
0.57
0.03
0.41
0.00
0.47
520
77
7,199
0
16,009
6,775
1,379
497
863
15
796
0
0
0
0
0
255,432
0
16,156
1,494,180
6,803,030,000
5,325
United States
319,929,162
0.19
410,364
399,835
630,425
2188278.06
0.07
237,594
48,685
0.74
0.15
4.63
0.00
0.12
0.38
0.02
0.33
0.33
0.01
0
0
46,741
0
0
75,461
13,315
0
7,583
5,243
0
1,269
30,875
47,876
0
9,230
2,038,360
671,748
1,236
8,717,561
1,481,327,024
0
JWEE total
Autor: Autor:
still includes Ireland
Autor: see comment in external data sheet
Autor: see comment in external data sheet
798,930,371
0.23
1,024,064
1,019,567
1,601,393
3865968.26
0.10
726,604
151,076
0.91
0.63
24.18
0.10
0.27
0.45
0.04
0.38
0.21
0.05
29,968
15,219
220,306
10,580
56,221
210,687
43,117
7,875
20,524
12,482
2,774
1,433
34,661
48,503
2,789
9,465
6,325,255
1,348,439
36,294
117,525,834
19,321,877,756
175,250
JWEE 12
261,159,928
0.23
296,837
315,016
535,032
910643.64
0.14
255,336
54,332
0.98
1.07
49.17
0.20
0.31
0.48
0.06
0.44
0.17
0.10
18,468
5,323
70,785
3,542
40,047
70,978
18,915
6,754
11,470
6,044
2,424
120
106
79
264
19
2,274,780
390,941
26,012
63,830,422
12,840,834,000
83,105
JWEE Europe (excluding the Russian Federation)
429,482,492
0.27
444,472
451,487
834,889
1388511.18
0.14
419,922
88,175
0.98
0.81
39.27
0.25
0.47
0.50
0.06
0.44
0.12
0.08
29,968
15,215
155,860
10,434
56,221
87,178
26,627
7,863
12,941
7,239
2,774
164
3,786
626
2,789
236
3,691,717
455,451
34,828
92,506,516
16,866,040,732
159,864
external data reference
Population
Rural Population (share)
SWE in 1000 m3
TPES in ktoe
RES in TPES (share)
Net Annaul Increment in 1000 m3
TPES in TJ
RES in TJ
*We could make this better when converting with TJ figures.
JWEE total
Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Canada, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Georgia, Germany, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, the United Kingdoma and the United States
JWEE 12
Austria, Cyprus, Finland, France, Germany, Ireland, Luxembourg, Serbia, Slovenia, Sweden, Switzerland and the United Kingdom.
Europe excl. Russia
Armenia, Austria, Bosnia and Herzegovina, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Germany, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Serbia, Slovak Republic, Slovenia, Sweden, Switzland and the United Kingdom
2013
2013
Population
Rural Population
Roundwood and Fuelwood removals from forest and outside forest (1000m3)
Roundwood and Fuelwood supply from forest and outside forest including net trade (1000m3)
SWE + (S1 -S4) Total calculated domestic consumption of woody biomass (1000m3)
Total primary energy supply, TPES (ktoe)
Share of renewables (RES) in TPES from ktoe
Total wood energy generation (1000m3)
Total wood energy generation (ktoe) (calculation totals*heating value)
Average wood energy consumption (m3/capita)
Fuelwood consumption per rural inhabitant (m3/inhabitant)
Pellets consumption per inhabitant (kg/inhabitant)
S1/Net Annual Increments
Share of Total Roundwood supply directly used for energy purposes (%)
Share of energy use in calculated domestic consumption of woody biomass (%)
Share of woody biomass in TPES (%) (from TJ)
Share of woody biomass in RES (%) (from TJ)
Share of wood energy generated from black liquor (%) (heating value)
Imported wood fuel as share of wood energy (%)
1-S1-U1
1-S1-U2
1-S1-U3
1-S1-U4
1-S2-U1
1-S2-U2
1-S2-U3
1-S2-U4
1-S3-U1
1-S3-U2
1-S3-U3
1-S3-U4
1-S4-U1
1-S4-U2
1-S4-U3
1-S4-U4
Total domestic woody biomass supply (including cascaded use) (1000 m3)
Total wood energy generation (TJ) (calculation totals*heating value)
Share of woody biomass in TPES (%) (from ktoe)
Share of woody biomass in RES (%) (from ktoe)
Wood fuel imports (1000 m3)
Total Fuelwood (1000 m3)
Total Pellets (mt)
Total S1 (1000 m3)
share of rural population
Renewable energy supply (ktoe)
Total woody biomass from forest (TJ)
Total woody biomass from outside forest (TJ)
Unspecified (TJ)
Chips and Particles (TJ)
Wood Residues (TJ)
Bark (TJ)
Unspecified solid co-products (TJ)
Black Liquor (TJ)
Crude Tall Oil (TJ)
Unspecified liquid co-products (TJ)
Wood Charcoal (TJ)
Wood Pellets (TJ)
Wood Briquettes (TJ)
Pyrolysis Oils (TJ)
Cellulose based Ethanol (TJ)
Wood based Biodiesel (TJ)
Non-hazardous Wood Waste (TJ)
Hazardous Wood Waste (TJ)
Unspecified Wood Waste (TJ)
Wood from Unknown Sources (TJ)
Total wood energy generation (ktoe)
Total primary energy supply, TPES (TJ)
Renewable energy supply, RES (TJ)
Net Annual Increments
SWE
2013-2-FBI-SCP-CAP-DP-1000 m3
2013-2-FBI-SCP-WR-DP-1000 m3
2013-2-FBI-SCP-B-DP-1000 m3
2013-2-FBI-LCP-BL-DP-1000 mt
2013-2-WW-PCRW-NHWW-DP-1000 mt
2013-2-WW-PCRW-HWW-DP-1000 mt
2013-2-WFUS-DP-1000 m3
2013-3-WC-DP-1000 mt
2013-3-WP-DP-1000 mt
2013-3-WB-DP-1000 mt
2013-3-PO-DP-million litre
2013-3-CBE-DP-million litre
2013-3-WBB-DP-million litre
2013-2-FBI-SCP-CAP-I-1000 m3
2013-2-FBI-SCP-WR-I-1000 m3
2013-2-FBI-SCP-B-I-1000 m3
2013-2-FBI-LCP-TO-I-1000 mt
2013-2-WW-PCRW-NHWW-I-1000 mt
2013-2-WW-PCRW-HWW-I-1000 mt
2013-2-WFUS-I-1000 m3
2013-3-WC-I-1000 mt
2013-3-WP-I-1000 mt
2013-3-WB-I-1000 mt
2013-3-PO-I-million litre
2013-3-CBE-I-million litre
2013-3-WBB-I-million litre
2013-2-FBI-SCP-CAP-E-1000 m3
2013-2-FBI-SCP-WR-E-1000 m3
2013-2-FBI-SCP-B-E-1000 m3
2013-2-FBI-LCP-TO-E-1000 mt
2013-2-WW-PCRW-NHWW-E-1000 mt
2013-2-WW-PCRW-HWW-E-1000 mt
2013-2-WFUS-E-1000 m3
2013-3-WC-E-1000 mt
2013-3-WP-E-1000 mt
2013-3-WB-E-1000 mt
2013-3-PO-E-million litre
2013-3-CBE-E-million litre
2013-3-WBB-E-million litre
SUM biomass domestic production
SUM biomass Import
SUM biomass Export
for the derived sheet
Country
S1
S2
S3
S4
U1
U2
U3
U4
% S1
% S2
% S3
% S4
% U1
% U2
% U3
% U4
Tot S-U
why change from BL DP to TO I
Armenia
2992192
0.3683189448
1537.774
2592.224
1723.9407053194
2900.3608961498
0.067482287
1545.7157053194
311.0662984027
0.516583062
2.3482611532
n/a
4.8788323886
59.6%
0.896617674
10.7%
158.9%
0.0%
68.2%
0
0
1545.6141007194
0
0
0
0.1016046
0
0
0
0
0
0
0
0
0
165.2386845586
13023.7237815262
0.1072748044
1.5896735147
1053.5998669
2587974
0
1545.6141007194
1102081
195.7229865291
13023.2157585262
0
0
0
0
0
0
0
0
0
0.508023
0
0
0
0
0
0
0
0
0
1545.6141007194
0.1016046
0
0
0
0
1545.7157053194
0
0.999934267
0.0%
0.0%
0.0%
0.0%
0.0%
100.0%
0.0%
1545.7157053194
311
121432.31
8194.53
360
178.225
0
0
87.0246628571
0
0
0
0
0
0
0
0
0
0
63.4284892086
14.6762589928
0
0
0
0
0
0.1861344
0
0.0055071
0
0
0
0
0
0
0
0
0
0
0.082368
0
0
0
0
0
87.0246628571
78.2963897014
0.082368
Austria
8486962
0.3414881556
18271.4737705391
26535.1137705391
43881.975818449
33220.8980605713
0.3007626412
23656.130318449
4806.0936327428
2.7873496215
2.0118128616
101.8809793186
0.3232221808
29.9%
0.5390853506
14.5%
48.1%
8.2%
9.4%
0
0
7374.1572160822
569.8107918113
6247.3121591351
6574.2487757795
1838.1219495077
1052.4794261332
0
0
0
0
0
0
0
0
13768.2114493624
201221.528215675
0.1433350784
0.4765720831
2215.25545224
5830630
864660
7943.9680078935
2898197
9991.6050444253
60241.6918736218
6693.5213192913
0
49708.8061852649
39664.6485893032
9192.6982864903
6352.8302129206
16425.1261809672
0
0
377.8987823
11636.8961308711
927.4106546443
0
0
0
0
0
0
0
7943.9680078935
15712.1623105555
0
0
6247.3121591351
6574.2487757795
9212.2791655899
1622.2902179446
0.335810122
66.4%
0.0%
0.0%
26.4%
27.8%
38.9%
6.9%
23656.130318449
4,762
1390892.56
418328.52
25136
20225.8455
3545
2588
890.8216765824
2545.97625
0
0
0
7.9488
2453.1
0
0
0
0
1522.78
691.88
0
0
0
0
0
73.152
982.923
279.05099416
0
0
0
249.87
277.77
0
0
0
0
0
10.3104
1231.14
43.33087138
0
0
0
12030.8467265824
3549.78599416
1812.42127138
Azerbaijan
9497496
0.454936438
422
422
1950.5786446043
13880.3969618802
0.0183578279
416.1942446043
81.7659724563
0.0438214709
0.0976680707
0.010529091
n/a
91.5%
0.2133696305
0.6%
32.1%
0.0%
0.2%
0
3
285
98.1942446043
0
0
24
6
0
0
0
0
0
0
0
0
29.7182
3423.3777348
0.006035515
0.3287706511
0.66
422000
100
386.1942446043
4320757
254.8139390465
3273.3777348
0
0
0
0
0
0
0
0
0
150
0
0
0
0
0
0
0
0
0
386.1942446043
30
0
0
0
3
309
104.1942446043
0.9279182728
7.2%
0.0%
0.0%
0.0%
0.7%
74.2%
25.0%
416.1942446043
84
581144.46
10668.55
…
1534.3844
0.1
0.1
0
0
0
0
0
28.8
0.255
0
0
0
0
0.06
0
0
0
0
0
0
0.6336
0
0
0
0
0
0
0
0
0
0
0
0
0.2304
0
0
0
0
0
29.255
0.6936
0.2304
Bosnia and Herzegovina
3823533
0.6060549235
4675
3884
2168.0214784003
6454.0040126111
0.1241962363
1454.5704784003
293.0124124076
0.3804257681
0.3378974665
3.9230732414
n/a
26.3%
0.6709206956
4.5%
36.6%
15.2%
0.1%
0
0
1021
0
0
333.7688466937
56.074828984
43.7268027226
0
0
0
0
0
0
0
0
831.7500952381
12267.8436826819
0.0453654989
0.3652727345
1
783000
15000
1021
2317271
801.5630075475
6597.4928244894
2005.3681893084
0
0
0
0
1422.1146288841
1859.871
0
0
141
241.99704
0
0
0
0
0
0
0
0
1021
433.5704784003
0
0
0
333.7688466937
1077.074828984
43.7268027226
0.7019254241
29.8%
0.0%
0.0%
0.0%
22.9%
74.0%
3.0%
1454.5704784003
293
270216.24
33559.84
…
713.451
40
80
130.3914285714
171
390.5333333333
1.5833333333
0
144
469.2
205.092
0
0
0
0
4
0
0
0
0
0
0
0
0
0
0
0
22
46
0
0
0
0
0
115.2
430.95
189.9
0
0
0
1631.8000952381
4
804.05
Canada
35230612
0.1850274699
151977.913
149823.128916
185202.37852
253197.895051113
0.1886562053
85191.08772
15790.8346116891
2.4180984344
0.5906258538
23.7118764783
0.0084768056
2.2%
0.4599891665
6.2%
33.1%
33.2%
9.2%
0
0
3297.3621103117
0
0
57459.7601918465
8031.08772
0
0
0
0
0
0
0
16402.8776978417
0
116242.305627248
661130.6635222
0.0677258127
0.3589906446
7823.913090288
3850072
835383.92
3297.3621103117
6518631
47767.3540651572
27783.298675
0
0
0
247734
0
0
219643.2
0
0
36495.6786
6354.4862472
0
0
0
0
0
0
0
123120
3297.3621103117
65490.8479118465
0
16402.8776978417
0
57459.7601918465
27731.3275281535
0
0.038705482
76.9%
0.0%
19.3%
0.0%
67.4%
32.6%
0.0%
85191.08772
17,148
10600889.47
1999923.58
442030
100011.2908
25774.4
37459
5029.7764707514
19611
73.4903125
0
16402.8776978417
0
6255.15
0
0
36.9097861552
0
3231.192
201.8270775
0
0
0
0
0
7460.02368
57.6685764
0
0
0
0
943.2336
219.5995935
0
0
0
0
0
5.5872
4182.5895804
0
0
0
0
110642.604267248
10950.7113339
5351.0099739
Croatia
4271497
0.418182197
5437
4380
4369.5211757868
7719.5270851247
0.1642248128
2112.5316757868
519.0756588241
0.4945647102
0.4848107559
5.8527490479
0.1903471553
38.2%
0.4834698336
6.7%
40.9%
0.0%
1.6%
55.7849139128
48.3469253911
1556.3990981682
13.016479913
70.6608909563
76.2393823475
87.7773725261
1.8191125717
22.9625
179.525
0
0
0
0
0
0
395.8028571429
21732.6596836465
0.0550849155
0.3354238286
34.272
866000
25000
1673.5474173851
1786264
1267.737890513
17421.3571141898
0
0
0
0
0
1529.2080133567
0
0
0
150
468.4396913
203.669431
0
0
0
1959.9854338
0
0
0
1673.5474173851
236.4967584016
202.4875
0
149.4083048691
304.1113077387
1644.1764706943
14.8355924847
0.7921999166
11.2%
9.6%
0.0%
7.1%
14.4%
77.8%
0.7%
2112.5316757868
425
323201.16
53077.65
9991
2256.9895
400
530
147.0428571429
0
0
0
0
34.56
464.1
63.3
0
0
0
2
7
0
0
0
0
0
17.28
5.1
4.22
0
0
0
375
431
0
0
0
0
0
23.04
405.45
44.31
0
0
0
1639.0028571429
35.6
1278.8
Cyprus
1141652
0.3285344396
22.43
24.1
326.8231707866
1930.6510939142
0.0695351498
88.2515707866
11.8783704858
0.077301639
0.019276299
0.56935038
0.0771631499
48.7%
0.2700285007
0.6%
8.8%
0.0%
81.5%
0
0
11.7482014388
0
0
2.2326139089
34.1282534388
40.142502
0
0
0
0
0
0
0
0
82.7705714286
497.3236154987
0.0092010799
0.1323227161
71.9049
7230
650
11.7482014388
375072
134.2481131174
21.7416940904
77.2476733342
0
0
25.1161020022
0
0
0
0
0
360
13.2181460719
0
0
0
0
0
0
0
0
11.7482014388
76.5033693477
0
0
0
2.2326139089
45.8764548777
40.142502
0.1331217262
86.7%
0.0%
0.0%
0.0%
2.5%
52.0%
45.5%
88.2515707866
18
80832.5
5620.7
38
238.5716
1.82
4.25
0.8090714286
0
0
0
0
6.912
0
0
0
0
0
0.03
1.34
0
0
0
0
0
66.0672
1.6575
0
0
0
0
0
0
0
0
0
0
0
0.1152
0
0
0
0
0
13.7910714286
69.0947
0.1152
Czech Republic
10545314
0.2734111094
19049
17083
18883.9251080889
41951.139056081
0.0851551149
10414.5211080889
2112.1989162364
0.9875970605
1.3408684638
6.4483618032
0.1902819612
36.3%
0.5515019281
5.0%
59.1%
16.7%
3.1%
0
446.0431654676
5755.3956834532
0
1292.5659472422
2304.4329575133
441.502
131.8944844125
0
42.68687
0
0
0
0
0
0
3686.6407142857
88433.5442249875
0.0499707307
0.5868200731
321.186
3866000
68000
6201.4388489209
2883206
3572.3540651572
32572.1290648
16164.82832
3515.8501596
7961.1779476
8405.7107264
1190.693739
0
14778.96
0
0
600
1160.9157567
1670.0893342
0
0
0
0
0
413.1891766875
0
6201.4388489209
4170.395389168
42.68687
0
1292.5659472422
2793.162992981
6196.8976834532
131.8944844125
0.5954607787
40.0%
0.4%
0.0%
12.4%
26.8%
59.5%
1.3%
10414.5211080889
2,096
1756410.29
149567.32
23086
8469.404
733
668
573.5007142857
1330
0
0
0
34.56
415.65
253.2
0
0
0
293
124
0
0
0
0
0
92.16
91.8
78.07
0
0
0
356
180
0
0
0
0
0
5.76
334.05
124.49
0
0
0
4007.9107142857
679.03
1000.3
Denmark
5624293
0.1266470292
4240
4469
17054.5663044086
17446.400114646
0.2508548477
10684.7042044086
2184.7098503523
1.8997417461
3.8761757686
408.5846878888
0.7485071608
100.0%
0.6265010798
12.5%
49.9%
0.0%
61.7%
3410.071942446
1057.5539568345
0
0
3213.5373804353
0
2754.3679136691
36.2480110237
212.925
0
0
0
0
0
0
0
7191.4619304814
91469.43201455
0.1232755158
0.4914217003
6597.19140503
2761000
2298000
4467.6258992806
712300
4376.5140441387
32168.0083568
5475.8355934
0
5031.3028146
969.8896992
932.71009555
0
0
0
0
390
42526.1771928
1914.4926514
0
0
0
2061.0156108
0
0
0
4467.6258992806
6004.153305128
212.925
0
6836.5343228814
1057.5539568345
2754.3679136691
36.2480110237
0.4181328574
56.2%
2.0%
0.0%
64.0%
9.9%
25.8%
0.3%
10684.7042044086
2,151
730445.88
183235.89
5796
6369.8621
400
100
111.9047619048
0
257.385
45.8566666667
0
0
234.6
34.2664
0
0
0
205
29
0
0
0
0
0
86.4
5895.6
183.57866577
0
0
0
8
15
0
0
43.9383333333
45.8566666667
0
5.76
270.3
3.27456386
0
0
0
1184.0128285714
6399.57866577
392.12956386
Estonia
1320050
0.31476838
8967.6
6185.93
12152.4894381298
6093.468042419
0.1396628475
4972.4484381298
1009.2534106724
3.7668637083
8.0315515872
32.5945229347
0.2733725073
44.8%
0.4091711796
16.6%
118.6%
4.1%
3.4%
1164.6
31
1540
34
768.81664
785.6486941007
598.8783040291
17.1068
32.398
0
0
0
0
0
0
0
3655.3530024286
42255.4217980334
0.1642577629
1.1761020619
169.106759931
3337190
43026.4000000001
2769.6
415510
851.0310977357
22704.4753063463
631.943757135
0
3892.7735439516
9976.2854459712
2173.2037443725
0
1733.472
0
0
16.356
618.340392516
194.9739383327
0
0
0
313.597669408
0
0
0
2769.6
2170.4504381298
32.398
0
1965.81464
816.6486941007
2138.8783040291
51.1068
0.5569891844
43.6%
0.7%
0.0%
39.5%
16.4%
43.0%
1.0%
4972.4484381298
1,001
255121.32
35630.97
11201
7180.041
1856.7224827586
1517.7772413793
306.2988
155.674125
80.6852433333
4.972435
0
17.28
1556.53632
41.653299
0
0
0
94.32
63.41
0
0
0.0531666667
0
0
30.5856
115.668
11.178577229
0
0
0
529.2
23.95
0
0
0
4.3142133333
0
44.5248
1562.487
32.986274605
0
0
0
5537.5999464713
315.2153438957
2197.4622879383
Finland
5453061
0.1596904931
60938.4
66824.39
69506.7019135925
33040.3940957294
0.2998949091
38661.7770135925
8077.1131336672
7.0899219748
13.2928266127
46.1942384287
0.1745242015
20.9%
0.5562309238
24.4%
81.5%
41.6%
0.6%
5895.4084167586
920.8324455774
6067.5659867466
1097.9272952162
4483.0110880273
19497.2134115003
14.8332
125.18256
533.0948222416
26.64084218
0
0.0669453445
0
0
0
0
37799.4954464609
338172.572680378
0.235535702
0.7853941326
234.91844
11575420
251900
13981.7341442989
870802
9908.645982612
117808.92808548
0
0
7481.6870364
16531.6244616
42214.848084
0
140700.557
4349.41932
0
74.166
3592.7121060983
0
0
0
0
5197.2701868
221.3604
0
0
13981.7341442989
24120.2402595276
559.802609766
0
10911.5143270275
20444.6866992577
6082.3991867466
1223.1768005607
0.3616423047
62.4%
1.4%
0.0%
28.2%
52.9%
15.7%
3.2%
38661.7770135925
7,782
1383335.22
414855.19
91038
30844.9249
7923
5307
7392.4285714286
12662.0770338373
568.4066666667
106.9193745284
0
0
688.5
0
0
0
0
3145.06
412.49
0
0
0
0
0
15.552
153.357
0
0
0
0
171.64
203.74
0
0
0
0
0
0.4032
199.512
0
0
0
0
34648.3316464609
3726.459
575.2952
France
63844529
0.2109123399
51671.17
47563.23
108806.164655687
253323.417884781
0.0920604897
46626.9626556867
11339.1506209153
0.7303204109
1.4528295399
13.0003308506
0.2587215099
57.6%
0.4285323612
4.5%
48.6%
7.3%
1.9%
585.7843137255
3110.1960784314
23694.4444444444
0
764.3652611476
5497.5884693697
7584.7822683926
1616.2280701754
1366.26875
946.055
1461.25
0
0
0
0
0
43994.8195392857
474747.55819648
0.0370494649
0.4024469672
872.602
19563220
830000
27390.4248366013
13465599
23321.0779115315
221404.60199019
59587.5983946
4578.68762164
0
34519.99087736
48758.90861205
14891.8480898
34822.23
0
0
3270
15552.19775116
835.0446671
0
0
0
36526.45019258
0
0
0
27390.4248366013
15462.9640690854
3773.57375
0
2716.4183248731
9553.8395478011
32740.4767128371
1616.2280701754
0.587437467
33.2%
8.1%
0.0%
5.8%
20.5%
70.2%
3.5%
46626.9626556867
9,385
10606144.86
976406.89
94367
62179.202
6047.14
8313
10395.9523809524
4662.122625
12000
1500
0
259.2
2269.5
94.95
0
0
0
259.68
688.62
0
0
0
0
0
520.6464
234.6
0
0
0
0
360.64
721.81
0
0
1666.6666666667
0
0
113.8752
387.6
0
0
0
0
45541.8650059524
1703.5464
3250.5918666667
Germany
80565861
0.2578364054
57947.1529965977
63312.0205528489
153773.237622473
317658.472102799
0.1049801909
65910.817822473
14849.4432185593
0.8180985967
0.5671015824
23.9284789078
0.2842118324
49.8%
0.4286234643
4.7%
44.5%
4.1%
5.3%
2373.1143395391
6351.4777929077
22776.5186023483
0
2290.5815485065
10441.0978220598
6683.5947892832
0
3151.5204990355
8434.8284994158
1868.8425519875
0
68.6965383683
183.8615740615
1286.6832649597
0
42797.979152203
621716.488674643
0.0417653775
0.3978405554
3490.8644290754
11780294.5562512
1927818.50562406
31501.1107347951
20772812
33347.8470430878
263310.376626748
47459.6596047539
0
16607.6359817656
43950.8621706822
32470.8017754822
7738.3795812233
25455.8814660475
0
0
5862.7433621751
25200.2988030025
12651.8973802005
0
0
0
0
0
125681.85814495
15326.0937776118
31501.1107347951
19415.2741598495
13455.1915504389
1539.2413773895
7883.9129254494
25411.2656884449
32615.6392085788
0
0.4779353644
29.5%
20.4%
2.3%
12.0%
38.6%
49.5%
0.0%
65910.817822473
13,267
13299724.91
1396207.66
107000
87862.4198
10184.0064
3299.216
2125.4749757028
4677.313
5954.9866004023
5954.9866004023
0
11.52
5629.1709
2327.9376137098
0
0
0
992.4313437226
2178.0358625232
0
0
721.6666666667
721.6666666667
0
1256.4840999583
987.6004751782
499.0540245368
0
0
0
1277.2728086778
1350.5281631465
0
0
143.3333333333
143.3333333333
0
70.5075834289
1700.8341858368
37.7626695098
0
0
0
40164.6120902172
7356.9391392524
4723.5720772665
Hungary
9924507
0.2978461298
6027.202
5013.957
5721.35098
22560.037021114
0.0827323138
2617.05068
526.3632573787
0.2636957866
0.8840315348
-0.2471659298
0.267548264
52.1%
0.4574183072
2.3%
28.2%
0.0%
4.6%
0
0
0
2613.176
0
0
3.87468
0
0
0
0
0
0
0
0
0
580.8588659524
22037.7768599335
0.0233503007
0.2822391837
120.535674
2613176
-2453
2613.176
2955976
1866.444062291
22018.4034599335
0
0
0
0
0
0
0
0
0
19.3734
0
0
0
0
0
0
0
0
0
2613.176
3.87468
0
0
0
0
3.87468
2613.176
0.9985194479
0.1%
0.0%
0.0%
0.0%
0.0%
0.1%
99.9%
2617.05068
527
944543.63
78144.28
11099
3104.3003
375.797
129.931
168.3256992857
0
52.5083333333
2.0033333333
0
0
11.26845
3.65874
0
0
0
117.11
122.723
0
0
0
0
0
4.14144
21.6852
17.09311
0
0
0
216.09
139.027
0
0
0
0
0
0.18432
39.2088
50.87632
0
0
0
743.4925559524
282.75275
445.38644
Iceland
325392
0.0613475439
3.64
4.96
318.8241446043
5885.1399636954
0.8959532066
112.9244446043
22.1808650138
0.3470412444
0.0826570484
n/a
0.6932076716
191.9%
0.354190379
0.4%
0.4%
0.0%
5.6%
4.7961630695
0
2.3600959233
2.3600959233
0
0
5.2452
85.1366906475
0
0
0
12.525
0
0
0.5011990408
0
97.816647619
928.6684563971
0.0038623473
0.0043108806
6.35
1650
0
9.5163549161
19962
5272.8100219738
80.1840143985
0
0
626.3870974
40.4120708
0
0
0
0
0
56.226
0
0
0
0
0
121.2362124
0
0
4.2230613986
9.5163549161
90.3818906475
12.525
0.5011990408
4.7961630695
0
8.106494964
100.0217865707
0.0842718771
80.0%
11.1%
0.4%
4.2%
0.0%
7.2%
88.6%
112.9244446043
23
246399.04
220762.01
15.6
205.8997
0
0
0.1665142857
0
13.3333333333
0
0
0
0
0
0
0
0
74.56
4.4
0
0
0
0
0
5.3568
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
13.499847619
84.3168
0
Ireland
4671263
0.3698098352
2756
2651.26
4194.6986725851
13060.0599503201
0.0651468761
1687.9100725851
351.1607827267
0.3613391223
0.1213328787
15.6274652059
0.063599063
11.5%
0.4023912572
2.7%
41.3%
0.0%
6.5%
95.9232613909
0
208.6330935252
0
247.4734628297
809.0002548393
41.19
35.19
0
250.5
0
0
0
0
0
0
1595.3873714286
14702.3996512
0.0260150274
0.399328854
109.356
209600
73000
304.5563549161
1727479
850.8221075762
2525.754425
40.4120708
0
4748.418319
2020.60354
1547.9018607
0
0
0
0
30
1364.5851877
0
0
0
0
2424.724248
0
0
0
304.5563549161
1132.853717669
250.5
0
343.3967242206
1059.5002548393
249.8230935252
35.19
0.1804339934
67.1%
14.8%
0.0%
20.3%
62.8%
14.8%
2.1%
1687.9100725851
340
546798.59
35622.22
5356
2506.7886
552.4
178.95
185.7619047619
0
416.6666666667
0
0
0
81.6
0
0
0
0
23.25
85.32
0
0
0
0
0
6.048
104.55
0
0
0
0
13.11
25.07
0
0
0
0
0
0.9792
0
0
0
0
0
1415.3785714286
219.168
39.1592
Luxembourg
544885
0.1015425273
399
796
1832.5415243166
3972.1300277061
0.0393791196
398.5114243165
79.7658530768
0.7313679479
2.2411393663
75.2452352331
0.3568320169
25.6%
0.2174637895
2.0%
51.0%
0.0%
10.1%
0
0
201.8824940048
2.2254196643
33.5923261391
151.5443645084
9.26682
0
0
0
0
0
0
0
0
0
759.1452571429
3339.636736618
0.0201947031
0.5128276936
40.358
124000
41000
204.1079136691
55329
156.4189834719
1719.7962910002
0
0
1559.9463449508
0
0
0
0
0
0
27.918
31.976100667
0
0
0
0
0
0
0
0
204.1079136691
194.4035106475
0
0
33.5923261391
151.5443645084
211.1493140048
2.2254196643
0.5121758153
48.8%
0.0%
0.0%
8.4%
38.0%
53.0%
0.6%
398.5114243165
80
166305.14
6548.95
650
1434.0301
422.46
98.5
26.7228571429
0
0
0
0
0
114.75
0
0
0
0
193.98
29.15
0
0
0
0
0
7.0272
7.65
0
0
0
0
33.99
87.93
0
0
0
0
0
1.3248
17.85
0
0
0
0
662.4328571429
237.8072
141.0948
Netherlands
16809157
0.106972051
1847
1549
14926.0630133392
77391.4751122576
0.0427808239
4134.7830133392
893.6837112938
0.2459839606
0.1735155246
44.6185373841
0.1574497977
62.1%
0.2770176576
1.2%
27.0%
0.0%
51.1%
136.9565217391
0
770.4462516943
54.347826087
1541.322
212.4183217472
222.33
110.4797391304
872.3294117647
0
214.1529411765
0
0
0
0
0
4555.6560685714
37416.74962445
0.0107542407
0.2513799336
2111.42
312000
750000
961.7505995204
1798110
3310.871070985
2626.784602
6041.6045846
0
0
2202.4578586
297.67343475
0
0
0
0
960
14053.190739
61.1008293
0
0
0
11173.9375762
0
0
0
961.7505995204
2086.5500608777
1086.4823529412
0
2550.6079335038
212.4183217472
1206.9291928708
164.8275652174
0.2326000171
50.5%
26.3%
0.0%
61.7%
5.1%
29.2%
4.0%
4134.7830133392
832
3240226.28
138619.55
2250
10791.28
74
791
141
0
2203.3333333333
101.6666666667
0
0
573.75
45.154
0
0
0
131
442
0
0
16.6666666667
0
0
247.68
1963.5
0
0
0
0
105
514
44.7619047619
0
706.6666666667
101.6666666667
0
40.32
624.75
37.92936
0
0
0
3929.904
2800.8466666667
2175.0945980952
Norway
5083450
0.1990022524
11598.29
9733.85
12991.4488158273
32706.4490780548
0.3848327241
5580.5725158273
1116.7868070431
1.0977923489
2.6587605203
19.3175894324
0.1397547288
27.6%
0.4295573646
3.4%
8.9%
9.1%
8.6%
0
0
2690.6474820144
0
0
1621.2339040767
486.5908
0
0
0
110.6375
0
671.4628297362
0
0
0
4223.7006166667
46757.63003728
0.0343451576
0.0892469778
482.4968
2689650
98200
2690.6474820144
1011618
12586.5118945257
22671.1717188
0
0
0
0
0
9450.36275658
4264.23
0
0
1056.654
2016.3273669
570.2744068
0
0
0
1070.9198762
0
0
5657.689912
2690.6474820144
2107.8247040767
110.6375
671.4628297362
671.4628297362
1621.2339040767
3287.8757820144
0
0.4821454205
37.8%
2.0%
12.0%
12.0%
29.1%
58.9%
0.0%
5580.5725158273
1,123
1369353.61
526972.08
21878
7410.8763
330
1740
326.77925
848.5875
1787.1383333333
55.5966666667
0
0
124.695
63.3
0
0
0
315.04
182.11
0
0
0
0
0
221.4144
129.54
10.55
0
0
0
142.67
982.94
0
0
738.7533333333
26.725
0
5.5872
3.825
10.55
0
0
0
5276.09675
858.6544
1911.0505333333
Republic of Moldova
4073714
0.4718512394
1829
1865.19
2285.1124
3069.8258813414
0.0958989545
1877.83
377.4509673802
0.4609626498
0.6799546558
n/a
0.0775420389
100.0%
0.8217670168
12.3%
128.2%
0.0%
0.1%
9
561.19
1268
27
0
0
6
6.64
0
0
0
0
0
0
0
0
6.5496
15803.1171022743
0.1231296607
1.2839520653
2.76
1307000
0
1865.19
1922187
294.3930925767
15715.9356849417
0
0
0
58.9814173326
0
0
0
0
0
28.2
0
0
0
0
0
0
0
0
0
1865.19
12.64
0
0
9
561.19
1274
33.64
0.9932688263
0.7%
0.0%
0.0%
0.5%
29.9%
67.8%
1.8%
1877.83
378
128527.47
12325.65
27334
407.2824
0
4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2.6496
0
0
0
0
0
0
0.1
0
0
0
0
0
0
0
0
0
0
0
4
2.6496
0.1
Serbia
8937605
0.474877442
7690
7758
10345.652426373
14890.5780070698
0.1288145369
7295.213426373
1379.2498924799
0.8162380667
1.2885617234
7.7201890216
1.2071655645
83.6%
0.7051477399
9.3%
71.9%
0.0%
0.3%
9
284.5445563549
5857
333.6043165468
4.692
495.0036457975
161.2500815348
110.4563261391
0
0
39.6625
0
0
0
0
0
1061.0669761905
57746.43449835
0.098615822
0.7655643869
19.3815
5469000
69000
6484.1488729017
4244267
1918.1229100984
44392.6597738
6546.7554696
0
313.1935487
2000.3975046
2163.09362585
0
0
0
0
480
1283.1174153
183.3024879
0
0
0
363.7086372
20.2060354
0
0
6484.1488729017
771.4020534714
39.6625
0
13.692
779.5482021524
6057.9125815348
444.0606426859
0.888822368
10.6%
0.5%
0.0%
0.2%
10.7%
83.0%
6.1%
7295.213426373
1,468
623438.72
80307.97
5232
3050.439
164
298
260.4471428571
0
36.6666666667
1.6666666667
0
155.52
425.85
44.31
0
0
0
15
3
0
0
0
0
0
0
7.65
0.3165
0
0
0
4
9
0
0
0
0
0
57.6
257.55
23.21
0
0
0
1386.4604761905
25.9665
351.36
Slovenia
2064819
0.5041027809
3685.176
2709.328
4901.565487214
6845.7358842075
0.1646803069
2890.036587214
711.5602618673
1.399656138
0.9820190781
67.4955044486
0.1963284942
68.4%
0.5896150107
10.4%
63.1%
0.0%
22.6%
0
0
1853.4285714286
0
196.19
424.4366666667
353.2226517867
0
0
0
0
13.6459875
0
0
49.1127098321
0
843.9776104762
29791.6050438597
0.0849773834
0.5160142398
651.749662
1022165
139366
1853.4285714286
1040881
1127.3578866915
17917.095709888
3055.15255248
0
183.87492214
0
0
5266.9698466773
0
0
0
80.0598
2611.3826407086
131.163113564
0
0
0
132.0868534098
0
0
413.819604992
1853.4285714286
973.8493184533
13.6459875
49.1127098321
196.19
424.4366666667
2255.7639330474
13.6459875
0.6413166462
33.7%
0.5%
1.7%
6.8%
14.7%
78.1%
0.5%
2890.036587214
582
286617.27
47200.22
9165
2011.5289
170
340
30.3186704762
0
87.7883333333
0.1283333333
0
5.76
229.5
10.55
0
0
0
258.397
164.013
0
0
0.12
0
0
15.54048
303.31485
101.28
0
0
0
335.75
256.092
0
0
1.4516666667
0
0
4.94784
177.43155
97.06
0
0
0
874.0453371429
842.66533
872.7330566667
Sweden
9624247
0.1440576078
69079.5
76185.08
88913.7111321343
49264.7009649374
0.3467390974
50514.3837321343
10487.060081862
5.2486582828
4.6005397974
201.2250932463
0.0522785326
19.7%
0.5681281671
21.3%
61.4%
44.2%
4.7%
10091.1270983213
0
4376.4988009592
503.5971223022
2629.645822542
28984.3669880096
1312.9884
777.072
1839.0875
0
0
0
0
0
0
0
46720.7879047619
439072.2315074
0.2063950898
0.5952460837
2358.7869
6378400
1936640
14971.2230215827
1386446
17081.9979459253
37401.3715254
0
88744.9074768
0
0
0
56677.929297
193946.07
3542.4
0
875.892
40082.1440208
0
0
0
0
17801.5171874
0
0
0
14971.2230215827
33704.0732105516
1839.0875
0
14559.8604208633
28984.3669880096
5689.4872009592
1280.6691223022
0.2963754463
66.7%
3.6%
0.0%
28.8%
57.4%
11.3%
2.5%
50514.3837321343
10,168
2062614.5
715189.09
96486
38399.3274
14845.61
4154.39
2557.6419714286
16522.875
1833.3333333333
0
0
4.032
3535.4985
0
0
0
0
1096.64
786.37
0
0
0
0
0
182.016
1817.2575
0
0
0
0
157
36.41
0
0
0
0
0
7.1424
414.324
0
0
0
0
43453.3808047619
3882.2835
614.8764
Switzerland
8118719
0.2608140521
6004.1854007861
5515.2454007861
11777.3010861311
26727.4648896532
0.2027418589
5043.224386131
1279.1542917869
0.6211847443
1.1642235382
25.0336252039
0.448955452
50.3%
0.4282156285
4.8%
23.6%
0.0%
6.3%
915.7631828456
78.6574079416
1332.9143320645
448.8086086723
146.8816647832
637.9419902785
439.1303006282
78.3712220015
678.9561957267
278.6068275579
0.2117995578
6.9808540733
0
0
0
0
3587.0092574433
53555.6318885321
0.0379813745
0.1873385924
319.53286
2465215.4007861
203240.968581722
2776.143531524
2117476
5418.7759147798
27372.537678692
3808.847371797
0
0
7728.5978040094
607.1378642844
0
0
0
0
340.374
3806.1605783613
191.1233940504
0
74.242155309
0
8889.5667509154
737.0442911131
0
0
2776.143531524
1302.3251776914
964.7556769156
0
1741.6010433556
995.206225778
1772.2564322504
534.1606847471
0.5504699611
25.8%
19.1%
0.0%
34.5%
19.7%
35.1%
10.6%
5043.224386131
1,015
1119025.5
226873.31
6232
6734.0767
0
1101.63
475.5952380952
0
1699.2910294067
144.7991731814
0
0.6336
309.9804698834
19.412
0
0
0
517.79
97.35
16.7857142857
0
8.5390946502
0
0
69.2352
215.1435
4.22
0
29.5573567531
0
108.25
34.52
110.7857142857
0
791.2757201646
68.8065843621
0
0.3456
6.8595
2.11
0
0
0
3751.3415105667
958.620865689
1122.9531188125
North Macedonia
2072543
0.4373742788
691
723.05
961.6776505995
2796.8450845514
0.1048981834
564.5363505995
113.3634834975
0.2723882451
0.6288631703
-0.4487241037
0.3928926546
77.7%
0.5870328277
4.1%
38.6%
0.0%
0.9%
0
21.019
513.9064748201
26.5652757794
0
0
3.0456
0
0
0
0
0
0
0
0
0
27.9227214286
4746.3023270722
0.0406297035
0.387325139
5.22768
570050
-930
561.4907505995
906477
293.3839686634
4731.0743270722
0
0
0
0
0
0
0
0
0
15.228
0
0
0
0
0
0
0
0
0
561.4907505995
3.0456
0
0
0
21.019
516.9520748201
26.5652757794
0.9946051304
0.5%
0.0%
0.0%
0.0%
3.7%
91.6%
4.7%
564.5363505995
114
117098.31
12283.4
1624
397.1413
0
0
24.2738214286
0
0
0
0
0
0
0
0
0
0
0.07
3.52
0
0
0
0
0
3.1104
0.204
0
0
0
0
0
0.68
0
0
0
0
0
0
2.5755
0
0
0
0
24.2738214286
6.9044
3.2555
United Kingdom
63955654
0.1767883571
12658.1586330993
12120.2054957294
52221.4882605564
190952.489968472
0.0529768063
13364.4479605564
2671.1876059999
0.208964292
0.1070663199
56.8701521526
0.148809153
31.5%
0.2559185578
1.4%
26.4%
0.0%
65.2%
408.8126618705
163.8061147141
3240.5759441074
0
6605.3595155151
1806.579132122
630
235.2300172272
274.084575
0
0
0
0
0
0
0
17985.4737351786
111837.282688005
0.0140878867
0.2659255573
8709.9793917731
1210557.65863855
3637167.774
3813.194720692
11306615
10116.0530715582
22840.1960224949
9289.4652905915
0
21843.3679858059
13394.6827616553
0
1307.2870784579
0
1886.282613
0
3150
35472.9889000503
0
0
0
0
2653.0120359492
0
0
0
3813.194720692
9277.1686648643
274.084575
0
7288.2567523856
1970.3852468361
3870.5759441074
235.2300172272
0.2853237733
69.4%
2.1%
0.0%
54.5%
14.7%
29.0%
1.8%
13364.4479605564
2,690
7994798.85
423538.91
20700
38857.0403
2314.64101819
771.5470060633
1173.3722044423
0
3823.77
19.49
0
28.8
903.6435
0
0
0
0
134.5085118343
0
0
19.297331
0
0
0
630.8504823911
8640.8347677
0
0
0
0
185.85248
0
0
1.164471
0
0
0
18.5636914424
269.700444
0
0
0
0
9035.2637286956
9425.4910929254
475.2810864424
United States
317135919
0.1889480043
334019
318317.1
559411.549116612
2188362.73502436
0.0644869667
193605.127116612
46428.591996256
0.6104799725
0.6706880033
9.2811940359
0.060012394
12.6%
0.3460871114
2.1%
32.9%
47.6%
0.5%
0
0
40189.1
0
12920.2509212476
119835.886246355
11502.119088
5544.136881998
3613.6339790115
0
0
0
0
0
0
0
228878.74074673
1943872.28969924
0.0178081045
0.2761504447
983.5304
40189100
2943400
40189.1
59922199
141120.874892519
397910.564874129
0
0
0
247638.540913368
258103.093714601
0
924342.967587258
0
0
25746.6
55152.2154948968
0
0
0
0
34978.3071149933
0
0
0
40189.1
149802.393137601
3613.6339790115
0
16533.884900259
119835.886246355
51691.219088
5544.136881998
0.207582829
77.4%
1.9%
0.0%
8.5%
61.9%
26.7%
2.9%
193605.127116612
38,971
91622370.99
5908448.79
761000
365806.422
14500
81975.0903811625
38317.5568829635
83184.2123458655
3606.421136738
0
0
4907.52
14535
0
0
0
0
85.5
137.5
0
0
0
0
0
489.6
388.62
0
0
0
0
5623.6
68.49
0
0
0
0
0
138.24
7417.95
0
0
0
0
241025.80074673
1101.22
13248.28
JWEE total
686138926
0.2
843444.1
838040.4
1,390,603.31
3627302.7
0.1
581422.3
127823.2
0.8
0.9
24.8
0.097690442
0.2
0.42
3.5%
37.9%
29.5%
6.7%
25156.1
13077.7
137430.6
5824.6
43456.3
257950.6
43325.5
10053.5
12597.3
10158.8
3694.8
33.2
740.2
183.9
17739.2
0.0
581565.6
5351699.9
3.2%
34.7%
38807.9
131791594.6
17047170.6
181489.0
148853524.0
337205.4
1438254.2
166878.2
96839.4
119958.6
676862.8
399652.8
104636.9
1577972.6
9778.1
0.0
80754.9
263239.8
19534.5
0.0
74.2
0.0
125667.3
978.6
126095.0
144521.8
181489.0
354785.9
26484.1
18663.2
81949.8
281371.0
202190.0
15911.4
31.2%
61.0%
4.6%
3.2%
14.1%
48.4%
34.8%
2.7%
581422.3
117,034
151867909.1
14118113.7
1779064.6
809181.0
90654.1
151449.4
70879.4
146370.8
34885.7
7939.7
16402.9
5647.0
41281.3
3206.8
0.0
36.9
0.0
12771.8
6473.7
16.8
19.3
747.0
721.7
0.0
11503.8
22125.9
1188.6
0.0
29.6
0.0
11218.2
5623.7
155.5
1.2
4092.1
390.7
0.0
670.6
19936.9
697.8
0.0
0.0
0.0
568754.027920115
55598.2976719606
42786.6849423617
JWEE 12
257409257
0.2
291122.646801022
311993.973219903
550,481.86
944886.992930162
0.1199857483
256137.666970298
56042.8177461698
1.0
1.1
38.7
0.2133754283
0.4
0.47
5.9%
49.4%
17.5%
7.5%
20374.9332744516
10909.5143959271
76995.3676871501
2955.9735542131
23649.1048486257
75321.2541348401
19102.508714572
4070.3521236765
7843.0123420038
9936.6311691537
3369.9668515453
20.6937869177
68.6965383683
183.8615740615
1335.7959747918
0
210996.124271363
2346400.69339664
5.5%
45.5%
19094.6895350885
65635732.6156759
9974443.24820578
111235.788911742
60260975
113372.972914875
816956.751696405
136558.659747248
93323.59509844
102446.930324027
159836.523811212
136955.390108857
92235.2441060791
411349.864647015
9778.101933
0
14929.0519444751
140647.677780791
14919.9416974593
0
74.242155309
0
73988.3360922544
978.6107265131
125681.85814495
15739.9133826038
111235.8
122143.2
21170.3
1588.4
51935.7
96351.3
100803.6
7047.0
43.4%
47.7%
8.3%
0.6%
20.3%
37.6%
39.4%
2.8%
256137.7
51,558
39560528.62
4746699.63
461400
294344.1948
46170.07741819
26454.4830060633
25515.3466652989
41070.3639088373
26420.9092964757
7727.9901481121
0
480.3264
16641.0933698834
2497.1596137098
0
0
0
8159.5468555569
5137.5688625232
16.7857142857
19.297331
730.3257613169
721.6666666667
0
2842.6190623493
13456.5385928782
883.9215186968
0
29.5573567531
0
2897.3752886778
3002.8701631465
110.7857142857
1.164471
2602.7273868313
212.1399176955
0
286.1151148713
4662.8016798368
203.4735408898
0
0
0
192977.74982657
31997.8277220268
13979.4532772347
JWEE Europe (excluding the Russian Federation)
324274899
0.2
357025.152801022
369478.134219903
644,038.80
1171861.66427821
0.1263479424
302209.855584803
65521.9633846726
0.9
1.1
40.9
0.2151647066
0.4
0.47
5.6%
44.3%
15.8%
4.2331410038
25156.1428156192
13074.6674436204
93659.136873943
5726.4392319157
30536.0077072595
80654.9962413193
23768.2970183803
4503.4037641848
8983.6272537685
10158.8430391537
3694.7572927218
33.2187869177
740.1593681045
183.8615740615
1336.2971738326
0
236414.876075736
2743273.56298947
5.2%
41.1%
29999.8357209495
87330422.6156759
13268286.6482058
137616.386365098
78091937
148062.310117512
1009286.9839287
166878.240191691
96839.44525804
119958.571727579
181490.261029516
141549.671122529
104636.9295049
433986.397647015
9778.101933
0
18362.5973674751
201,733.07
19534.542288492
0
74.242155309
0
90689.0284710624
978.6107265131
126095.047321638
21401.8263560024
137616.4
139462.7
22870.4
2260.3
65415.9
104072.4
122458.5
10263.1
45.5%
46.1%
7.6%
0.7%
21.6%
34.4%
40.5%
3.4%
302209.9
60,832
49063504.16
6199072.8
576034.6
341828.9474
50379.5969009486
32015.1912474426
27532.0551750608
43575.6255338373
31205.8262064757
7939.6692497787
0
710.7264
20490.8931398834
3206.7840527098
0
0
0
9455.0753447656
6134.408121516
16.7857142857
19.297331
747.0455946502
721.6666666667
0
3553.5834367493
21679.6357928782
1188.6173787958
0
29.5573567531
0
4651.3352886778
5335.5671631465
155.5476190476
1.164471
4092.0857201646
390.7024643621
0
526.5738028713
8336.3979798368
697.7900593548
0
0
0
217056.367906137
43545.6727380606
24187.1645684617
2011
2011
Population
Rural Population
Roundwood and Fuelwood removals from forest and outside forest (1000m3)
Roundwood and Fuelwood supply from forest and outside forest including net trade (1000m3)
SWE + (S1 -S4) Total calculated domestic consumption of woody biomass (1000m3)
Total primary energy supply, TPES (ktoe)
Share of renewables (RES) in TPES from ktoe
Total wood energy generation (1000m3)
Total wood energy generation (ktoe) (calculation totals*heating value)
Average wood energy consumption (m3/capita)
Fuelwood consumption per rural inhabitant (m3/inhabitant)
Pellets consumption per inhabitant (kg/inhabitant)
S1/Net Annual Increments
Share of Total Roundwood supply directly used for energy purposes (%)
Share of energy use in calculated domestic consumption of woody biomass (%)
Share of woody biomass in TPES (%) (from TJ)
Share of woody biomass in RES (%) (from TJ)
Share of wood energy generated from black liquor (%) (heating value)
Imported wood fuel as share of wood energy (%)
1-S1-U1
1-S1-U2
1-S1-U3
1-S1-U4
1-S2-U1
1-S2-U2
1-S2-U3
1-S2-U4
1-S3-U1
1-S3-U2
1-S3-U3
1-S3-U4
1-S4-U1
1-S4-U2
1-S4-U3
1-S4-U4
share of rural population
Total domestic woody biomass supply (including cascaded use) (1000 m3)
Renewable energy supply (ktoe)
Total wood energy generation (TJ) (calculation totals*heating value)
Total woody biomass from forest (TJ)
Total woody biomass from outside forest (TJ)
Unspecified (TJ)
Chips and Particles (TJ)
Wood Residues (TJ)
Bark (TJ)
Unspecified solid co-products (TJ)
Black Liquor (TJ)
Crude Tall Oil (TJ)
Unspecified liquid co-products (TJ)
Wood Charcoal (TJ)
Wood Pellets (TJ)
Wood Briquettes (TJ)
Pyrolysis Oils (TJ)
Cellulose based Ethanol (TJ)
Wood based Biodiesel (TJ)
Non-hazardous Wood Waste (TJ)
Hazardous Wood Waste (TJ)
Unspecified Wood Waste (TJ)
Wood from Unknown Sources (TJ)
Share of woody biomass in TPES (%) (from ktoe)
Share of woody biomass in RES (%) (from ktoe)
Wood fuel imports (1000 m3)
Total Fuelwood (1000 m3)
Total Pellets (mt)
Total S1 (1000 m3)
Total wood energy generation (ktoe)
Total primary energy supply, TPES (TJ)
Renewable energy supply, RES (TJ)
Net Annual Increments
SWE
Country
S1
S2
S3
S4
U1
U2
U3
U4
% S1
% S2
% S3
% S4
% U1
% U2
% U3
% U4
Tot S-U
Albania
2831741
0.466
430
373.82
1374.0022307735
2173
0.2655315232
1160.0022307735
233.4499436324
0.4096427713
0.222568911
n/a
2.5802757551
310.3%
0.8442506168
10.7%
40.5%
0.0%
0.0%
0
111.5386760359
892.3094082873
156.1541464503
0
0
0
0
0
0
0
0
0
0
0
0
1319591.306
41.8736714286
577
9774.08224
8992.1556608
0
781.9265792
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0.1074531747
0.4046720079
0
293700
0
1160.0022307735
1160.0022307735
0
0
0
0
111.5386760359
892.3094082873
156.1541464503
1
0.0%
0.0%
0.0%
0.0%
9.6%
76.9%
13.5%
1160.0022307735
233
90979.164
24157.836
470
214
Armenia
3024127
0.367
2075.656
2075.646
2338.356
2716
0.0821060383
2074.356
417.4632413858
0.6859354782
1.8690340007
n/a
n/a
99.9%
0.8871001678
15.4%
187.2%
0.0%
0.0%
0
0
2074.356
0
0
0
0
0
0
0
0
0
0
0
0
0
1109854.609
70.0176014286
223
17478.3509903404
0
0
17478.3509903404
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0.1537353282
1.8723997816
0.12
2074356
0
2074.356
2074.356
0
0
0
0
0
2074.356
0
1
0.0%
0.0%
0.0%
0.0%
0.0%
100.0%
0.0%
2074.356
418
113713.488
9336.564
360
264
Austria
8423136
0.323
19418.4060139913
26631.6060139913
45334.2672151528
33019
0.2656652231
23688.2672151528
4837.3648559324
2.8122859722
2.139261188
119.8814788221
0.2937269498
29.5%
0.522524542
14.7%
55.1%
14.1%
15.9%
3.9728278659
652.278177458
6681.3703026871
514.2814463066
6722.4217831921
6798.4260452837
1445.6396939669
869.8769383924
0
0
0
0
0
0
0
0
2720672.928
16179.9581520548
8772
202530.791788178
54744.4125367189
5885.5501472027
5529.5163457072
37229.5049837434
39720.317989593
9050.5865301947
11370.7768187822
28599.51
0
0
343.9915
9511.2267087408
545.3982274946
0
0
0
0
0
0
0
0.1444074271
0.5435691786
3777.925048
5820230
1009778
7851.9027543177
7851.9027543177
15836.3644608352
0
0
6726.394611058
7450.7042227418
8127.009996654
1384.158384699
0.3314680083
66.9%
0.0%
0.0%
28.4%
31.5%
34.3%
5.8%
23688.2672151528
4,768
1382439.492
367266.096
25136
21646
Belarus
9473172
0.25
10364.2
8177.69
n/a
29501
0.0527100776
n/a
n/a
n/a
0.9658771106
n/a
n/a
0.0%
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2368293
2893.5383857143
1555
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
3.86
2287480
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
1235147.868
65104.74
29975
6761
Belgium
10996266
0.025
5128
8530.89
n/a
59094
0.0484990016
n/a
n/a
n/a
3.5779781973
n/a
n/a
0.0%
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
274906.65
3905.5013642857
2866
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
657.02
983610
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
2474147.592
119993.688
5289
14617
Bosnia and Herzegovina
3843183
0.517
3969
3261.52
2122.4924275185
7095
0.0789288231
1166.4924275185
236.7746232321
0.303522478
0.3611207164
2.1024239543
n/a
27.5%
0.5495861433
3.3%
42.3%
10.8%
0.3%
81.5347721823
0
813.9088729017
0
0
196.6846522782
35.9948256
38.3693045564
0
0
0
0
0
0
0
0
1986925.611
665.0301666667
560
9913.2799254813
6049.68699876
808.241416
687.0052036
0
0
0
969.8896992
1068.8355
0
0
92.778
151.3997082282
85.4433996931
0
0
0
0
0
0
0
0.0330940316
0.4192895609
3.73008
717520
8080
895.4436450839
895.4436450839
271.0487824345
0
0
81.5347721823
196.6846522782
849.9036985017
38.3693045564
0.7676377694
23.2%
0.0%
0.0%
7.0%
16.9%
72.9%
3.3%
1166.4924275185
235
297053.46
23446.08
…
956
Bulgaria
7348328
0.269
6205
5361.31
ERROR:#N/A
19216
0.0743130724
ERROR:#N/A
ERROR:#N/A
n/a
1.2353162915
n/a
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
1976700.232
485.8257857143
1428
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
n/a
n/a
7.79
2441850
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
n/a
804535.488
59787.504
14677
2484
Canada
34482773
0.193
142013
140645
220613.122302158
251845
0.1800472513
71093.1223021583
14469.5155730052
2.061699687
0.4824816641
n/a
0.0262016521
7.2%
0.3222524642
5.7%
31.9%
35.2%
2.9%
0
0
10192.0863309353
0
0
59035.035971223
1866
0
0
0
0
0
0
0
0
0
6655175.189
106975.213571429
45344
605809.67801058
85877.67105354
0
0
0
0
0
297586.40695704
213015.6
0
0
9330
0
0
0
0
0
0
0
0
0
0.0568217242
0.3155934003
2092.578232812
3211000
0
10192.0863309353
10192.0863309353
60901.035971223
0
0
0
59035.035971223
12058.0863309353
0
0.1433624801
85.7%
0.0%
0.0%
0.0%
83.0%
17.0%
0.0%
71093.1223021583
14,310
10544246.46
1898462.592
442030
149520
Cyprus
850881
0.295
21.247
21.857
448.4412470024
2368
0.0405405405
79.4412470024
10.5869596928
0.093363522
0.0144615813
n/a
0.0286851858
46.8%
0.1771497326
0.4%
11.0%
0.0%
83.4%
0
0
10.2398081535
0
0
1.2110311751
31.9904076739
36
0
0
0
0
0
0
0
0
251009.895
76.8761707143
96
443.254828417
8.08241416
78.197356998
0
0
26.975057259
0
0
0
0
0
330
0
0
0
0
0
0
0
0
0
0.0067528096
0.1665693046
66.26
3630
0
10.2398081535
10.2398081535
69.2014388489
0
0
0
1.2110311751
42.2302158273
36
0.1288978779
87.1%
0.0%
0.0%
0.0%
1.5%
53.2%
45.3%
79.4412470024
16
99143.424
4019.328
38
369
Czech Republic
10494847
0.266
18831
16533
16232.739139481
43429
0.0688710309
9055.739139481
1871.7894431045
0.8628748127
1.2709423839
5.3359520153
0.1084796044
34.1%
0.5578688268
4.3%
62.6%
15.6%
2.7%
0
357.3141486811
5275.7793764988
0
1107.9136690647
2034.1486023107
182.262
98.3213429257
0
0
0
0
0
0
0
0
2791629.302
3825.8516285714
2991
78368.0804039
18569.3465326
14750.405842
14144.22478
8001.5900184
6486.1373634
1389.1426955
0
12223.2
0
0
360
957.2463257
1486.7868463
0
0
0
0
0
0
0
0.041972441
0.6094353528
242.654
3548000
56000
5633.0935251799
5633.0935251799
3422.6456143011
0
0
1107.9136690647
2391.4627509918
5458.0413764988
98.3213429257
0.6220467969
37.8%
0.0%
0.0%
12.2%
26.4%
60.3%
1.1%
9055.739139481
1,823
1818285.372
125227.188
23086
7177
Denmark
5566856
0.131
2566
2565
18110.991146283
17997
0.2219258765
7390.991146283
1528.0926857624
1.3276778035
2.4778605967
368.6102173291
0.5604400349
111.4%
0.4080942388
8.5%
38.3%
0.0%
70.8%
2858.5131894484
0
0
0
2582.946
0
1239.1046522782
150.9773045564
559.45
0
0
0
0
0
0
0
729258.136
6598.6483142857
3994
63978.1845675
24085.5941968
0
0
222.2663894
262.6784602
0
0
0
0
0
0
33992.4280339
0
0
0
0
5415.2174872
0
0
0
0.0826651995
0.3724901342
5234.274
1807000
2052000
2858.5131894484
2858.5131894484
3973.0279568345
559.45
0
6000.9091894484
0
1239.1046522782
150.9773045564
0.3867564083
53.8%
7.6%
0.0%
81.2%
0.0%
16.8%
2.0%
7390.991146283
1,488
753498.396
167220.792
5796
10720
Estonia
1339929
0.305
8054
5601.6
11225.1285224273
5603
0.1483134035
4565.1285224273
944.744332037
3.4069928499
5.6831981151
10.1135955711
0.2539343078
46.0%
0.4066883077
16.9%
113.7%
4.2%
1.7%
876
41
1646
15
841.9840340899
733.0110733374
324.7916
13.42344
71.309
2.609375
0
0
0
0
0
0
408678.345
3353.3799410806
831
39554.5556937272
21090.0696547854
631.943757135
0
7682.3464594047
5729.2636113783
970.5940013458
0
1666.8
0
0
0
243.588639476
824.453856688
0
0
0
535.2326202018
180.2630933122
0
0
0.1640032821
1.1057886755
76.1801294
2322600
13551.5
2578
2578
1913.2101474273
73.918375
0
1789.2930340899
776.6204483374
1970.7916
28.42344
0.564715755
41.9%
1.6%
0.0%
39.2%
17.0%
43.2%
0.6%
4565.1285224273
919
234586.404
34792.308
11201
6660
Finland
5388272
0.163
56556.8839676411
61649.4984936411
66155.1651332089
34749
0.2606118162
36357.1651332089
7601.0606031187
6.7474628477
12.5981757528
34.6128736634
0.1610610523
20.9%
0.5495740969
21.9%
83.9%
42.5%
0.4%
5159.5029038375
670.1190813561
7045.8801906462
27.6527773282
4341.1925443449
18682.0264689456
0.921493221
7.1556932303
401.3200871409
17.7780180718
0
3.6158750865
0
0
0
0
878288.336
36680.8510850214
9056
318241.205331374
108720.9096
0
0
21471.6051213738
5520.001
41982.9262
0
135108.98841
0
0
0
1345.099
0
0
0
0
3884.673
207.003
0
0
0.2106046009
0.8081160863
136.450231376
11064830.8185977
186503.578
12903.1549531679
12903.1549531679
23031.2961997418
422.7139802992
0
9902.0155353232
19369.9235683734
7046.8016838672
38.424345645
0.3548999188
63.3%
1.2%
0.0%
27.2%
53.3%
19.4%
0.1%
36357.1651332089
7,318
1454871.132
379156.608
91038
29798
France
63294268
0.142
55040.5467803582
49324.8421489191
90007.6345665486
252827
0.0723142702
37445.6345665486
9221.2023288667
0.5916117802
2.1166228848
7.8206133927
0.1727582141
56.2%
0.4160273153
3.6%
50.4%
6.3%
1.6%
99.3333333333
7854.5062745098
19185.401262963
563.137254902
81.2360349651
3228.1957981154
4809.5292922601
84.272
124.415
132.12205
1283.4862655
0
0
0
0
0
8987786.056
37481.0410193837
18283
386073.29910499
147840.292264273
52800.1043800977
87768.1113547003
0
0
39426.6162715377
5707.1138745884
24194.8694918079
0
0
3404.868
9275.10588774
749.50350608
0
0
0
14906.7140741645
0
0
0
0.0298124657
0.412262553
614.14905
19023753.65
495000
27702.3781257081
27702.3781257081
8203.2331253406
1540.0233155
0
304.9843682984
11214.8241226252
25278.416820723
647.409254902
0.7398026084
21.9%
4.1%
0.0%
0.8%
29.9%
67.5%
1.7%
37445.6345665486
7,537
10585360.836
765472.644
94367
52562
Germany
81797706
0.261
60586.57
64591.38
144010.721616121
311770
0.1001250922
58189.7216161207
13537.2871275466
0.71138574
0.5208639828
17.7217537128
0.2629521119
45.1%
0.4040652041
4.3%
43.4%
2.3%
3.8%
1851.5290325646
6425.8948777244
20878.3911374079
0
1790.3351768664
8459.3912672474
4890.0264367093
0
2409.3018324645
8361.6945950237
1713.0987599924
0
51.5823841853
179.0212157018
1179.4549002329
0
21349201.266
23707.47204
31216
566779.137456121
243715.504429762
44030.2179126985
0
15643.846360477
41859.5705579498
29940.0714993471
7093.4859926246
13263.0905753506
0
0
5250
23734.3932750682
11597.5258004065
0
0
0
15992.0995949038
0
100619.105415822
14040.2260417098
0.037569214
0.3752227659
2212.8488186
11120030
1449598.8
29155.815047697
29155.815047697
15139.7528808231
12484.0951874807
1410.0585001199
6102.7484260808
23426.0019556973
28660.9712343425
0
0.5010475087
26.0%
21.5%
2.4%
10.5%
40.3%
49.3%
0.0%
58189.7216161207
11,713
13053186.36
1306951.488
107000
85821
Iceland
318006
0.063
0.5
2.1
189.1325093525
5731
0.8382481242
19.1325093525
4.0712132128
0.0601639886
0.0314459476
n/a
0.135555891
88.6%
0.1011592847
0.1%
0.1%
0.0%
9.5%
0
0
0.9304556355
0.9304556355
0
0
1.5792
3.5011990408
0
0
0
11.69
0
0
0.5011990408
0
20034.378
19.5699666667
4804
170.453554793
15.6798834704
0
0
29.500811684
0
0
0
0
0
0
7.896
0
0
0
0
0
113.15379824
0
0
4.2230613986
0.0006719882
0.0008016579
1.81
630
0
1.860911271
1.860911271
5.0803990408
11.69
0.5011990408
0
0
3.0108546763
16.1216546763
0.0972643597
26.6%
61.1%
2.6%
0.0%
0.0%
15.7%
84.3%
19.1325093525
4
239945.508
201133.872
15.6
170
Ireland
4484323
0.378
2717
2519.38
3000.0815319472
13216
0.0618946731
710.0815319472
146.4758013351
0.1583475436
0.1670605438
13.1569469907
0.0484047131
9.4%
0.2366874115
1.1%
17.9%
0.0%
13.9%
4.7961630695
39.491466
193.4496630695
0
137.890853717
243.7273860911
55.536
35.19
0
0
0
0
0
0
0
0
1695074.094
1484.5508380952
818
6132.6488502967
1922.3304931397
80.8241416
0
626.3870974
424.3267434
1888.965447357
0
0
0
0
90
1099.8149274
0
0
0
0
0
0
0
0
0.0108150452
0.1747330537
98.418
283180
59000
237.7372921391
237.7372921391
472.3442398082
0
0
142.6870167866
283.2188520911
248.9856630695
35.19
0.3348028099
66.5%
0.0%
0.0%
20.1%
39.9%
35.1%
5.0%
710.0815319472
143
553327.488
34248.024
5356
2290
Italy
60738612
0.316
21305.72
25575.89
51572.5013932854
167416
0.1191045061
11926.5013932854
2432.6004899444
0.1963578192
0.2964805395
26.3423866189
n/a
32.1%
0.2312569891
1.5%
12.2%
0.0%
12.2%
5035.9712230216
1007.1942446043
1812.9496402878
350.5035971223
0
1127.0983213429
1510.7913669065
0
1081.993
0
0
0
0
0
0
0
19193401.392
12479.2119642857
19940
101848.117312992
0
0
69148.286104464
0
0
0
22226.63894
0
0
0
0
0
0
0
0
0
0
0
10473.192268528
0
0.0143395742
0.1203948922
1453.54
5690470
1600000
8206.618705036
8206.618705036
2637.8896882494
1081.993
0
6117.9642230216
2134.2925659472
3323.7410071942
350.5035971223
0.6880994211
22.1%
9.1%
0.0%
51.3%
17.9%
27.9%
2.9%
11926.5013932854
2,401
7009373.088
834847.92
32543
39646
Latvia
2065544
0.323
13017.16
8158.06
n/a
4371
0.4735758408
n/a
n/a
n/a
0.3669975249
n/a
n/a
0.0%
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
667170.712
2049.8001285714
2070
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
20.74
244850
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
183005.028
86666.76
25280
3937
Liechtenstein
36312
0.856
25
19
n/a
116.4668099742
0.0734893604
n/a
n/a
n/a
0.4825777838
n/a
n/a
0.0%
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
31083.072
16.6378571429
8.5590713672
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
0
15000
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
4876.2324
358.3512
…
26
Lithuania
3222186
0.329
8052.55
6157.06
n/a
7287
0.1594620557
n/a
n/a
n/a
1.5930490369
n/a
n/a
0.0%
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1060099.194
2277.9437
1162
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
24.01
1688790
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
305092.116
48650.616
10750
4868
Luxembourg
511840
0.146
332.0479486707
1288.0728645699
2032.0534627158
4171
0.0297290818
342.0534627158
68.8548218898
0.6682820075
1.061478766
2.4774871077
n/a
16.2%
0.1683289682
1.7%
55.5%
0.0%
6.0%
0
0
207.4964028777
1.7482014388
14.2326139089
115.8393285372
2.7369159532
0
0
0
0
0
0
0
0
0
74728.64
912.6804425208
124
2882.8136828825
0
0
1763.077618827
1095.975360096
0
0
0
0
0
0
0
23.7607039595
0
0
0
0
0
0
0
0
0.0165072206
0.5552549758
20.3996618363
79322.8645699279
1268.0770012
209.2446043165
209.2446043165
132.8088583993
0
0
14.2326139089
115.8393285372
210.2333188309
1.7482014388
0.6117307004
38.8%
0.0%
0.0%
4.2%
33.9%
61.5%
0.5%
342.0534627158
69
174631.428
5191.632
650
1690
Netherlands
16693074
0.168
1637
1385
17607.6054076304
77419
0.0427801961
4869.6054076304
1047.2682953389
0.2917141209
0.0317354314
72.6648668783
0.1622944069
66.8%
0.2765626157
1.4%
31.6%
0.0%
60.9%
216.439891565
0
653.8160775727
54.347826087
2805.1863597122
227.6357130516
65.3913043478
0
709.2588235294
0
137.5294117647
0
0
0
0
0
2804436.432
5085.4804761905
3312
43847.02898925
2707.6087436
5607.1748235
0
1576.0707612
1980.1914692
297.67343475
0
0
0
0
240
22729.5084996
0
0
0
0
8688.595222
20.2060354
0
0
0.0126609521
0.2959535787
2963.554
89000
1213000
924.6037952247
924.6037952247
3098.2133771116
846.7882352941
0
3730.8850748067
227.6357130516
856.7367936853
54.347826087
0.1898724266
63.6%
17.4%
0.0%
76.6%
4.7%
17.6%
1.1%
4869.6054076304
980
3241378.692
138666.816
2250
12738
Norway
4953088
0.206
10678.96
11356.73
13164.7817314149
28137
0.427764154
5686.7817314149
1180.8381119972
1.1481285476
2.334867829
12.3155494108
0.1249322576
21.2%
0.4319693138
4.2%
9.8%
22.1%
10.7%
0
0
2405.2757793765
0
0
2553.0935251799
119.646
0
0
0
66.8
0
541.9664268585
0
0
0
1020336.128
7693.6613166667
12036
49439.3300731
20266.6535062
0
0
0
0
0
11194.1436116
10911.984
0
0
0
1038.7140981
814.677724
0
0
0
646.5931328
0
0
4566.5640004
0.0406826207
0.0951052592
605.784
2382350
61000
2405.2757793765
2405.2757793765
2672.7395251799
66.8
541.9664268585
541.9664268585
2553.0935251799
2591.7217793765
0
0.4229590466
47.0%
1.2%
9.5%
9.5%
44.9%
45.6%
0.0%
5686.7817314149
1,145
1178039.916
503923.248
21878
7478
Poland
38204328
0.391
36878
38628.38
44774.5508393285
101313
0.0784795633
9996.5508393285
2011.8015017981
0.2616601669
0.3295699231
n/a
n/a
0.0%
0.2232641233
2.0%
25.3%
0.0%
4.8%
0
0
0
0
0
0
0
0
0
0
0
0
7130.6522781775
2865.8985611511
0
0
14937892.248
11515.0299
7951
84230.1052772842
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
84230.1052772842
0.019861185
0.2530746113
479.57
4923080
0
0
0
0
0
9996.5508393285
7130.6522781775
2865.8985611511
0
0
0
0.0%
0.0%
100.0%
71.3%
28.7%
0.0%
0.0%
9996.5508393285
2,012
4241772.684
332892.468
67595
34778
Romania
21384832
0.472
14358.6290248
14213.22961826
24507.0095923261
35830
0.1403014234
17988.0095923261
3620.0790946642
0.8411573957
0.3924571624
1.6324277514
n/a
27.9%
0.7339944731
10.1%
72.0%
0.0%
0.6%
0
0
3961.6306954436
0
0
0
0
0
0
0
0
0
134.0527577938
1508.3932853717
11800.9592326139
582.9736211031
10093640.704
2254.5840055987
5027
151565.4715354
0
0
33380.3704808
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
118185.1010546
0.1010546856
0.7202684276
101.710157334
3961321.58898
34909.1932156863
3961.6306954436
3961.6306954436
0
0
14026.3788968825
134.0527577938
1508.3932853717
15762.5899280576
582.9736211031
0.2202373017
0.0%
0.0%
78.0%
0.7%
8.4%
87.6%
3.2%
17988.0095923261
3,621
1500130.44
210470.436
…
6519
Russian Federation
142865433
0.262
197000
176301.15
n/a
730970
0.0242636497
n/a
n/a
n/a
1.1633835182
n/a
n/a
0.0%
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
37430743.446
28821.5440642857
17736
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
18.24
43546310
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
30604251.96
742570.848
852927
60266
Serbia
7276195
0.436
7758
7788
10914.6560695864
16185
0.1120173
7528.6560695865
1420.8943212931
1.0346968532
1.730539536
2.4738204515
1.2203876744
83.8%
0.6897749248
8.8%
78.4%
0.0%
0.2%
0
4.8266666667
6282.7001704672
239.8081534772
0
207.3093367691
208.0464844125
554.6527577938
0
0
31.3125
0
0
0
0
0
3172421.02
1093.7357142857
1813
59490.0034439
44715.9563402
6405.3132218
0
2889.4630622
3374.4079118
277.8285391
0
0
0
0
750
346.2380327
427.7058051
0
0
0
282.8844956
20.2060354
0
0
0.0936321309
0.8358720562
15.636
5490000
18000
6527.3349906111
6527.3349906111
970.0085789753
31.3125
0
0
212.1360034358
6522.0591548797
794.460911271
0.8669986954
12.9%
0.4%
0.0%
0.0%
2.8%
86.6%
10.6%
7528.6560695865
1,515
677633.58
75906.684
5232
3386
Slovak Republic
5398384
0.453
10010.91
8343
12035.7014257663
17349
0.0744711511
5502.7014257663
1133.4552613217
1.0193238246
0.2579301845
13.1520840311
0.0909176671
17.4%
0.4571982331
6.5%
87.7%
34.6%
2.7%
743.309352518
0
687.9136690647
22.1582733813
106.7625899281
3553.7907026728
160.5966205755
163.1654676259
0
49.995625
0
15.009125
0
0
0
0
2445467.952
4478.3991202381
1292
47455.504881017
8893.888541664
3352.18127286
0
10065.030353448
2656.285413684
839.439085995
4273.5764871
16417.98
0
0
0
301.227088449
26.680695461
0
0
0
629.215942356
0
0
0
0.0638442302
0.857301509
151.31
630760
71000
1453.381294964
1453.381294964
3984.3153808023
65.00475
0
850.071942446
3603.7863276728
848.5102896403
200.3328660072
0.2641214165
72.4%
1.2%
0.0%
15.4%
65.5%
15.4%
3.6%
5502.7014257663
1,108
726367.932
54093.456
13193
6533
Slovenia
2052843
0.501
3657.867
2963.64
4079.3865175851
7249
0.1306387088
2250.3865175851
567.8062197717
1.096229238
1.1712280508
30.2020173973
0.1685725622
55.0%
0.5516482706
7.8%
60.0%
0.0%
15.0%
0
0
1629.5714285714
0
149.0931020408
385.7831530612
25.1348262857
0
0
0
0
17.63854
0
0
43.1654676259
0
1028474.343
707.7017714286
947
23772.9108094026
15384.067112144
3055.15255248
0
138.209282136
0
0
4539.2459889887
0
0
0
0
76.8241093732
44.9702103648
0
0
0
170.7329167158
0
0
363.7086372
0.0624883663
0.478329638
336.638
1204578
62000
1629.5714285714
1629.5714285714
560.0110813878
17.63854
43.1654676259
149.0931020408
385.7831530612
1697.871722483
17.63854
0.7241295732
24.9%
0.8%
1.9%
6.6%
17.1%
75.4%
0.8%
2250.3865175851
453
303501.132
39648.996
9165
1829
Sweden
9449213
0.148
72103.33
78730.12
90731.1418189448
49045
0.3211132633
48781.1418189448
10070.8277082115
5.1624555208
4.754299844
212.504469949
n/a
21.0%
0.5376449678
20.5%
63.9%
36.4%
5.1%
11342.9256594724
0
4695.4436450839
503.5971223022
2968.335971223
26065.3904652278
1392.528
888.1584556355
920.5875
4.175
0
0
0
0
0
0
1398483.524
48912.9589573339
15749
421645.4144874
0
848.6534868
138532.5787024
0
0
0
68963.1988202
153442.83
1660.5
3472.5
600
45173.8797958
0
0
0
0
8951.2736822
0
0
0
0.2002061323
0.6234751259
2489.96
6648810
2008000
16541.9664268585
16541.9664268585
31314.4128920863
924.7625
0
15231.8491306954
26069.5654652278
6087.9716450839
1391.7555779377
0.3391057653
64.2%
1.9%
0.0%
31.2%
53.4%
12.5%
2.9%
48781.1418189448
9,819
2053416.06
659379.132
96486
41950
Switzerland
7911345
0.263
5845.1643909805
5162.4243909805
9976.9867343594
25375
0.1806108374
4148.9867343594
1056.5885722263
0.5244350656
0.934766951
18.2601220383
0.3546494615
43.8%
0.4158556932
4.2%
23.1%
0.0%
5.2%
709.0855375795
70.6291751846
1142.2297513436
337.0099268727
125.7177818992
595.0820418827
319.1778533675
65.4919066762
550.3957302225
227.7303439315
0.146321167
6.2903642324
0
0
0
0
2080683.735
2854.2914853961
4583
44237.2503419706
21622.7594650007
3808.847371797
0
0
7008.1433525614
611.0913326726
0
0
0
0
339.81
2706.8717330893
236.0936044152
0
75.0394611727
0
7133.5064035018
695.08761776
0
0
0.032912142
0.1822268391
217.52637
1944954.3909805
144462.125187196
2258.9543909805
2258.9543909805
1105.4695838256
784.5627595533
0
1385.1990497011
893.4415609988
1461.5539258781
408.7921977813
0.5444592947
26.6%
18.9%
0.0%
33.4%
21.5%
35.2%
9.9%
4148.9867343594
835
1062400.5
191881.044
6232
5828
Turkey
74223629
0.285
21039
22447.59
54458.2156692229
112459
0.0997874781
21538.2156692229
4320.0127524768
0.2901800405
0.2296516511
n/a
n/a
94.8%
0.3954998416
3.8%
38.5%
0.0%
2.0%
0
0
21290.175059952
0
0
68.0406092708
180
0
0
0
0
0
0
0
0
0
21153734.265
6910.3526095238
11222
180870.293920699
179389.242899306
0
0
376.3172032896
122.9133133382
81.820504765
0
0
0
0
900
0
0
0
0
0
0
0
0
0
0.0385510008
0.3863310461
434
4857990
0
21290.175059952
21290.175059952
248.0406092708
0
0
0
68.0406092708
21470.175059952
0
0.9884836974
1.2%
0.0%
0.0%
0.0%
0.3%
99.7%
0.0%
21538.2156692229
4,335
4708433.412
469842.696
…
32920
Ukraine
45778534
0.311
17510.292
13381.172
13408
126438
0.0205080751
6182
1224.4864191893
0.1350414585
0.544925433
n/a
n/a
0.0%
0.4610680191
1.0%
47.2%
0.0%
0.0%
0
0
0
0
0
240
0
0
0
0
0
428
386
5019
109
14237124.074
1675.1185266667
2593
51266.7973986156
0
0
0
0
0
0
0
0
0
0
1200
0
0
0
0
0
0
0
0
50066.7973986156
0.009841732
0.4798954551
2.75
7758171
0
0
0
240
0
5942
428
386
5259
109
0
3.9%
0.0%
96.1%
6.9%
6.2%
85.1%
1.8%
6182
1,244
5293706.184
108563.724
20935
7226
United Kingdom
62435709
0.204
11459.3862909672
11348.1362909672
51636.0701980198
188074
0.0414677202
10333.0701980198
2139.0435638053
0.1654993651
0.0862675632
19.5609399262
0.1781183749
33.4%
0.2001134122
1.1%
27.4%
0.0%
27.5%
1215.8273381295
2577.9376498801
0
3944.547292744
1794.4984172662
372
192.372
235.8875
0
0
0
0
0
0
0
12736884.636
14397.3005910524
7799
89557.4759294
27338.7658962
7253.9667086
0
19034.0853468
545.5629558
873.1754086
1070.9198762
0
3431.7
0
1860
25866.017737
0
0
0
0
2283.2820002
0
0
0
0.0110591251
0.2666923833
2837.65210429
1098780
1221301.153
3793.7649880096
3793.7649880096
6303.4177100102
235.8875
0
5396.2621308735
1794.4984172662
2949.9376498801
192.372
0.3671478965
61.0%
2.3%
0.0%
52.2%
17.4%
28.5%
1.9%
10333.0701980198
2,080
7874282.232
326528.532
20700
41303
United States
311591917
0.176
324432.68
313360.35
526672.802028767
2191193
0.0608604536
206652.802028767
49703.2253034664
0.6632161836
0.7289507784
6.4070026436
0.0596938687
12.8%
0.3923741671
2.3%
37.3%
49.2%
0.2%
0
39975.79
0
15498.216396343
131056.816993231
9720.5550076225
6642.0927412899
3759.3308902805
0
0
0
0
0
0
0
54840177.392
250347.502138357
133357
2080974.63700553
395798.591662653
0
0
0
269866.534623526
289913.37792246
0
1024541.63862333
0
0
27058.746
37407.1622816697
0
0
0
0
36388.5858918904
0
0
0
0.0189836981
0.3119217324
495.22
39975790
1996370.23593466
39975.79
39975.79
162917.681138487
3759.3308902805
0
19257.5472866235
131056.816993231
49696.3450076225
6642.0927412899
0.1934442195
78.8%
1.8%
0.0%
9.3%
63.4%
24.0%
3.2%
206652.802028767
41,597
91740868.524
5583390.876
761000
320020
n/a
JWEE total
820519962
0.2
910247.8
909320.4
1,494,275.52
4019732.0
0.1
595184.5
132737.6
0.7
0.7
16.8
0.0818276727
0.2
0.40
3.3%
38.6%
29.4%
4.5%
30198.7
17234.8
140922.9
2786.3
43218.0
267094.2
29020.0
9843.0
10823.2
8796.1
3232.4
54.2
8286.3
4939.3
18043.1
692.0
190967331.7
601568.0
344088.0
5557459.9
1258360.0
149396.8
369213.4
125705.9
385460.4
417461.5
434995.4
1634455.3
5092.2
3472.5
51258.1
215980.5
16839.2
0.0
75.0
0.0
106021.8
1122.8
111092.3
271456.7
3.0%
34.8%
26728.6
143167848.3
13760822.7
191142.7
191142.7
349175.2
22906.0
31960.6
92526.3
298064.4
191218.3
13375.6
32.1%
58.7%
3.8%
5.4%
15.5%
50.1%
32.1%
2.2%
595184.5
119,804
168298139.4
14406276.4
1863752.6
899091.0
JWEE 13
259274115
0.2
305507.359392609
320361.957203069
530,362.31
955397
0.1
235357.307536958
51811.4481450117
0.9
1.1
25.9
0.1722980136
0.3
0.44
5.4%
51.5%
17.1%
5.5%
21130.2821483703
15717.7457188996
71218.0250822159
2209.393156009
20381.7657448295
70130.6714422753
13713.8640244257
2896.335219354
4641.9076498278
8793.495632027
3028.0438466594
42.5539043189
51.5823841853
179.0212157018
1222.6203678588
0
58819176.425
188967.817387525
100548
2169241.71093535
674906.969093263
127599.008552934
233593.284021634
108194.106967674
101135.590982047
124890.700314804
103018.317858484
371027.268477159
5092.2
3472.5
12968.6695
119460.45899932
13627.8778493222
0
75.0394611727
0
54234.3821096419
922.29665316
100619.105415822
14403.9346789098
5.0%
47.1%
12975.1732841023
64412859.7241481
6725911.7331884
110275.446105495
110275.4
107122.6
16506.0
1453.2
46205.5
94820.9
89182.6
5148.3
46.9%
45.5%
7.0%
0.6%
19.6%
40.3%
37.9%
2.2%
235357.3
47,375
40000561.596
4209743.664
474593
295005
JWEE Europe (excluding the Russian Federation)
474445272
0.3
443802.116417409
455315.044821329
746,989.60
1576694
0.1
317438.598476779
68564.9075403108
0.7
0.8
24.8
0.1445350701
0.3
0.42
4.3%
41.5%
13.8%
7.6%
30198.7412245876
17234.7927882208
90754.9813882199
2786.3291813041
27719.7958076963
77002.343329776
17433.4249735581
3200.9278104332
7063.9184733572
8796.105007027
3232.3732584241
54.2439043189
8286.253847015
4939.3130622246
18043.0807995135
691.9736211031
129471979.09
244245.274867061
165387
2870675.54889773
776683.764270279
149396.774391569
369213.448160039
125705.881407763
115593.861886225
127548.1104464
137408.990109284
396898.087977159
5092.2
3472.5
14869.3435
178573.344304324
16839.2396760033
0
75.0394611727
0
69633.1743700836
1122.7657818723
111092.29768435
271456.725471208
4.1%
38.6%
24140.8496508363
99981058.3131281
11764452.4264041
140974.844582332
140974.8
125356.5
19146.6
31960.6
73268.7
107972.6
129463.9
6733.5
44.4%
39.5%
6.0%
10.1%
23.1%
34.0%
40.8%
2.1%
317438.6
63,897
66013024.392
6924422.916
660722.6
429551
JWEE 12
253875731
0.2
295496.449392609
312018.957203069
518,326.61
938048
0.1
229854.606111192
50677.99288369
0.9
1.1
26.2
0.1746249553
0.3
0.44
5.4%
51.1%
16.7%
5.6%
20386.9727958523
15717.7457188996
70530.1114131512
2187.2348826277
20275.0031549014
66576.8807396025
13553.2674038501
2733.1697517281
4641.9076498278
8743.500007027
3028.0438466594
27.5447793189
51.5823841853
179.0212157018
1222.6203678588
0
56373708.473
184489.418267287
99256
2121786.20605433
666013.080551599
124246.827280074
233593.284021634
98129.0766142263
98479.3055683632
124051.261228809
98744.741371384
354609.288477159
5092.2
3472.5
12968.6695
119159.231910871
13601.1971538612
0
75.0394611727
0
53605.1661672859
922.29665316
100619.105415822
14403.9346789098
4.9%
46.6%
12823.8632841023
63782099.7241481
6654911.7331884
108822.064810531
108822.1
103138.3
16441.0
1453.2
45355.5
91217.1
88334.0
4947.9
47.3%
44.9%
7.2%
0.6%
19.7%
39.7%
38.4%
2.2%
229854.6
46,267
39274193.664
4155650.208
461400
288472
2009
2009
Population
Rural Population
Roundwood and Fuelwood removals from forest and outside forest (1000m3)
Roundwood and Fuelwood supply from forest and outside forest including net trade (1000m3)
SWE + (S1 -S4) Total calculated domestic consumption of woody biomass (1000m3)
Total primary energy supply, TPES (ktoe)
Share of renewables (RES) in TPES from ktoe
Total wood energy generation (1000m3)
Total wood energy generation (ktoe) (calculation totals*heating value)
Average wood energy consumption (m3/capita)
Fuelwood consumption per rural inhabitant (m3/inhabitant)
Pellets consumption per inhabitant (kg/inhabitant)
S1/Net Annual Increments
Share of Total Roundwood supply directly used for energy purposes (%)
Share of energy use in calculated domestic consumption of woody biomass (%)
Share of woody biomass in TPES (%) (from ktoe)
Share of woody biomass in RES (%) (from ktoe)
Share of wood energy generated from black liquor (%) (heating value)
Imported wood fuel as share of wood energy (%)
1-S1-U1
1-S1-U2
1-S1-U3
1-S1-U4
1-S2-U1
1-S2-U2
1-S2-U3
1-S2-U4
1-S3-U1
1-S3-U2
1-S3-U3
1-S3-U4
1-S4-U1
1-S4-U2
1-S4-U3
1-S4-U4
share of rural population
Total domestic woody biomass supply (including cascaded use) (1000 m3)
Renewable energy supply (ktoe)
Total wood energy generation (1000 m3) (calculation totals*heating value)
Total woody biomass from forest (1000 m3)
Total woody biomass from outside forest (1000 m3)
Unspecified (1000 m3)
Chips and Particles (1000 m3)
Wood Residues (1000 m3)
Bark (1000 m3)
Unspecified solid co-products (1000 m3)
Black Liquor (1000 m3)
Crude Tall Oil (1000 m3)
Unspecified liquid co-products (1000 m3)
Wood Charcoal (1000 m3)
Wood Pellets (1000 m3)
Wood Briquettes (1000 m3)
Pyrolysis Oils (1000 m3)
Cellulose based Ethanol (1000 m3)
Wood based Biodiesel (1000 m3)
Non-hazardous Wood Waste (1000 m3)
Hazardous Wood Waste (1000 m3)
Unspecified Wood Waste (1000 m3)
Wood from Unknown Sources (1000 m3)
Wood fuel imports (1000 m3)
Total Fuelwood (1000 m3)
Total Pellets (mt)
Total S1 (1000 m3)
Total wood energy generation (ktoe)
Total primary energy supply, TPES (1000 m3)
Renewable energy supply, RES (1000 m3)
Share of woody biomass in TPES (%) (from 1000 m3)
Share of woody biomass in RES (%) (from 1000 m3)
Net Annual Increments
SWE
Country
S1
S2
S3
S4
U1
U2
U3
U4
% S1
% S2
% S3
% S4
% U1
% U2
% U3
% U4
Tot S-U
different numbers than if collected
Albania
3194417
0.48089
430
373.82
n/a
2085.42
0.3185487815
n/a
n/a
n/a
0.1911906246
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1536163.19113
330.572
664.308
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
293700
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
87312.36456
27813.247344
n/a
n/a
470
214
Armenia
3243729
0.35809
1502
1504.78
n/a
2601.206
0.0672691821
n/a
n/a
n/a
1.2913813271
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1161546.91761
0.9176
174.981
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0.06
1500000
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
108907.292808
7326.104508
n/a
n/a
360
217
Austria
8365275
0.32447
18455.9263406115
26182.0963406115
39538.2723303327
31761.634
0.2789512341
20750.2723303327
4237.0111624938
2.480524828
1.8681645019
64.2350669882
0.3081375978
0.3053232847
0.5248148467
0.1315046522
0.471425239
0.1298068597
0.1074358296
4.8214440822
0
7001.69917647
987.4830334939
5172.2370130928
3629.1523302868
1188.5975650899
2766.2817678172
0
0
0
0
0
0
0
0
2714280.77925
16316.4223134436
8859.947
177395.183351291
57430.2486809439
6170.167597453
3756.3931041199
34946.9854371013
25397.6589831964
11209.8419006669
7687.5050920723
23027.1116742486
0
0
427.5307154
6957.4241679807
384.315998108
0
0
0
0
0
0
0
2229.322722
5070723
537344
7994.003654046
7994.003654046
12756.2686762867
0
0
5177.0584571749
3629.1523302868
8190.2967415599
3753.764801311
0.385248132
61.5%
0.0%
0.0%
24.9%
17.5%
39.5%
18.1%
20750.2723303327
4176.8026316744
1329796.092312
370948.260996
0.1334002892
0.4782208249
25136
18788
Belarus
9576045
0.25305
13218
11107.024
n/a
26763.98
0.0501580856
n/a
n/a
n/a
2.0555408614
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2423218.18725
434.87315
1342.43
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4.01484
4981024
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
1120554.31464
56204.85924
n/a
n/a
22809
6568
Belgium
10796492
0.02589
8670
10899.5
18344.5616623484
57101.707
0.0383058076
2522.5616623484
518.5447241126
0.2336464161
6.5415436994
20.8401025074
n/a
0
0.1375100539
0.0088922743
0.2321390647
0.2374464729
0.197517471
0
0
0
0
684.26729784
1204.373501199
0
10.8681055156
0
0
0
0
0
0
623.0527577938
0
279521.17788
6577.4230952381
2187.327
21710.4305091445
0
0
0
91.5737524328
0
0
5273.4923549044
5155.06515
0
0
0
5940.5085764271
0
0
0
0
0
0
0
5249.7906753802
498.25
1828500
225000
0
0
1899.5089045546
0
623.0527577938
684.26729784
1204.373501199
623.0527577938
10.8681055156
0
75.3%
0.0%
24.7%
27.1%
47.7%
24.7%
0.4%
2522.5616623484
507.7640438702
2390734.268676
91579.006836
0.0090810722
0.2370677654
5289
15822
Bosnia and Herzegovina
3942701
0.51379
3708.53
3176.62
n/a
6034.075
0.1192787627
n/a
n/a
n/a
0.4273837706
5.072664653
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2025720.34679
473.7530666667
719.737
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4.41
865760
20000
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
252634.6521
30133.948716
n/a
n/a
…
627
Bulgaria
7585130
0.28542
5754
6031.57
ERROR:#N/A
17492.305
0.0621737387
ERROR:#N/A
ERROR:#N/A
n/a
1.063240414
n/a
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
n/a
n/a
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2164947.8046
3.2656
1087.562
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
0.6
2301860
0
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
n/a
732367.82574
45534.045816
ERROR:#N/A
ERROR:#N/A
14120
2002
Canada
33739859
0.19418
116306
118242.1
192915.059952038
250745.622
0.1755924456
47875.0599520384
9634.8349604008
1.4189466516
0.4614288592
n/a
0.0266966976
0.087825337
0.2481665245
0.0384322778
0.2188720457
0
0.0038051127
0
0
10384.6522781775
0
0
37490.4076738609
0
0
0
0
0
0
0
0
0
0
6551605.82062
93099.64
44029.037
403391.27012206
87500.21569616
0
0
0
0
0
315891.0544259
0
0
0
0
0
0
0
0
0
0
0
0
0
182.17
3023100
0
10384.6522781775
10384.6522781775
37490.4076738609
0
0
0
37490.4076738609
10384.6522781775
0
0.2169115253
78.3%
0.0%
0.0%
0.0%
78.3%
21.7%
0.0%
47875.0599520384
9636.7253988726
10498217.701896
1843407.721116
0.0384247385
0.2188291095
442030
145040
Cyprus
800011
0.2968
13.879
14.823
435.3198832422
2537.126
0.0385538598
67.3198832422
8.5842346154
0.084148697
0.0181811853
0.0449993813
0.0748719206
0.3242093635
0.1546446322
0.0053409864
0.1385331176
0
0.8835941647
0
0
4.8057553957
0
0
1.6163069544
27.8053772553
33.0924436368
0
0
0
0
0
0
0
0
237443.2648
69.73112
97.816
359.4047348768
22.2064329046
18.286462037
0
0
14.8312299836
0
0
0
0
0
303.3474
0.7332099516
0
0
0
0
0
0
0
0
59.483456
4317
36
4.8057553957
4.8057553957
62.5141278465
0
0
0
1.6163069544
32.611132651
33.0924436368
0.0713868647
92.9%
0.0%
0.0%
0.0%
2.4%
48.4%
49.2%
67.3198832422
13.5507554317
106224.391368
4095.360288
0.0033834483
0.0877590028
40
368
Czech Republic
10487178
0.26459
17166
14463
15339.3731544426
42072.125
0.0576855816
8356.3731544426
1725.2591499833
0.796818091
0.6245489708
2.669927029
0.104224065
0.3748919553
0.5447662737
0.0399800681
0.6930686496
0.1617192381
0.0179221293
0
400.479616307
5021.582733813
0
865.7074340528
1829.9930920924
53.958
184.6522781775
0
0
0
0
0
0
0
0
2774802.42702
3563.6638095238
2426.955
72233.1500915
17518.6326918
14022.9885676
14144.22478
8143.0322662
4182.6493278
992.2447825
0
11681.49
0
0
0
468.4396913
1079.4479843
0
0
0
0
0
0
0
149.764
1733000
28000
5422.0623501199
5422.0623501199
2934.3108043227
0
0
865.7074340528
2230.4727083994
5075.5407338129
184.6522781775
0.6488535457
35.1%
0.0%
0.0%
10.4%
26.7%
60.7%
2.2%
8356.3731544426
1682.0464246008
1761475.7295
101611.75194
0.0410071787
0.7108739758
22669
6983
Denmark
5523094
0.13134
2786
2188.89
n/a
18353.144
0.1801648263
n/a
n/a
n/a
1.4512067901
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
725403.16596
1386.3436
3306.591
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
60.54
1052710
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
768409.432992
138440.351988
n/a
n/a
5176
7453
Estonia
1340271
0.30513
5150
4129.6
8827.9687992861
4749.296
0.1510470183
4322.9687992861
874.354644479
3.225443809
2.8019090212
33.6872169882
0.1735966293
0.4202740094
0.4896900859
0.183220058
1.2130001637
0.0129006421
0.0331899689
8.5611510791
48.345323741
1653.4772182254
25.1798561151
1355.3959165468
540.3946632909
668.3466290647
7.194291223
16.07375
0
0
0
0
0
0
0
408956.89023
4362.6343809524
717.367
36607.4802550485
14623.714000042
0
0
10527.546503754
8894.494722726
1221.8502251705
0
472.26
0
0
0
712.028330776
0
0
0
0
155.58647258
0
0
0
143.4792
1145860
45150
1735.5635491607
1735.5635491607
2571.3315001254
16.07375
0
1380.0308176259
588.7399870319
2321.8238472902
32.3741473381
0.4014749191
59.5%
0.4%
0.0%
31.9%
13.6%
53.7%
0.7%
4322.9687992861
870.1662884255
198843.524928
30034.721556
0.1841019478
1.218838676
11361
4505
Finland
5338870
0.1491
45508.7523144861
49619.5093144861
54406.6617013705
33245.245
0.2397147021
29805.6617013705
6227.1559788481
5.5827659601
12.1735661829
39.8554652951
0.1289258164
0.2048401526
0.5478311069
0.1804635029
0.7528261777
0.4224133381
0.0342302038
3949.8372629176
675.8908449961
5538.3397524078
0
3338.8404055866
15165.6738937449
746.9782752414
0
352.7027870099
37.3984794662
0
0
0
0
0
0
796025.517
32568.9774554939
7969.374
260718.566522413
85641.5897523561
0
0
18717
8772.9767700568
32239
0
110131
0
0
0
1441
0
0
0
0
3776
0
0
0
1020.253875022
9690469.31448612
212783.148
10164.0678603216
10164.0678603216
19251.4925745729
390.1012664761
0
7641.3804555141
15878.9632182072
6285.3180276492
0
0.341011314
64.6%
1.3%
0.0%
25.6%
53.3%
21.1%
0.0%
29805.6617013705
5999.5533673598
1391911.91766
333661.750632
0.1873096733
0.7813858377
89587
24601
France
64540518
0.14749
54501.561
51542.929
90175.4533168775
253489.154
0.0754638757
41103.4533168775
9860.3215943402
0.6368627738
1.9410623778
4.4158306879
0.1619906311
0.4584998816
0.4558164312
0.0326391682
0.432513807
0.0812384365
0.0088033966
534.1176470588
1162.7450980392
21753.2111563181
182.3529411765
401.4134231579
6996.2018059855
7960.1415377289
4.2136
497.555625
0
1611.5004824125
0
0
0
0
0
9519080.99982
37295.6748495238
19129.274
412831.944511834
150508.577678673
77992.9001071714
19365.46432736
0
0
0
102752.205403325
33537.8217
0
0
2581.983
5314.957471376
363.346264904
0
0
0
20414.6885590243
0
0
0
361.85
18477130
285000
23632.4268425926
23632.4268425926
15361.9703668724
2109.0561074125
0
1433.0866952167
8158.9469040248
31324.8531764595
186.5665411765
0.5749499114
37.4%
5.1%
0.0%
3.5%
19.8%
76.2%
0.5%
41103.4533168775
8273.6751234766
10613083.899672
800904.443832
0.0388983964
0.5154571781
102456
49072
Germany
81902306
0.26151
61604.61
64816.05
129587.914527538
317104.31
0.0870316711
48653.9145275378
10349.9605388047
0.5940481643
0.4343977881
19.1081310946
n/a
0.3957661721
0.3754510188
0.0308841602
0.3548611647
0
0.0260250385
5700.4
0
19951.6
0
6803.3993617021
3220.3046808511
3154.2944680851
0
7584.8209258343
0
1463.0420779221
0
508.4011016744
0
267.6519114688
0
21418272.04206
14321.2171850883
27598.118
433332.147838675
0
0
216141.616773694
0
0
0
125149.299071339
0
0
0
0
0
0
0
0
0
0
0
84512.6753669734
7528.5566266683
1266.22
9304050
1565000
25652
25652
13177.9985106383
9047.8630037564
776.0530131432
20597.0213892108
3220.3046808511
24836.588457476
0
0.5272340417
27.1%
18.6%
1.6%
42.3%
6.6%
51.0%
0.0%
48653.9145275378
9793.5002974788
13276523.25108
1155478.004424
0.0308841602
0.3548611647
122000
80934
Iceland
318499
0.06584
0
1.6
n/a
5384.195
0.8175491415
n/a
n/a
n/a
0.00619934
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
20969.97416
7.3328
4401.844
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1.81
130
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
225425.47626
184296.404592
n/a
n/a
14
190
Ireland
4458942
0.38059
2405
2313.5
3067.1503847293
14402.127
0.0457733083
701.1503847293
148.3138029581
0.1572459083
0.0826267682
11.2134223769
0.0370636905
0.0632301593
0.228599937
0.0097995175
0.2140880322
0
0.0858703087
0
0
88.7290167866
57.5539568345
0
328.5864111082
113.556
0
0
112.725
0
0
0
0
0
0
1697028.73578
1523.4253714286
659.233
6209.60230225
1232.5681594
0
0
666.7991682
646.5931328
1607.43654765
0
0
0
0
28.2
936.8793826
0
0
0
0
1091.1259116
0
0
0
60.208
140220
50000
146.2829736211
146.2829736211
442.1424111082
112.725
0
0
441.3114111082
202.2850167866
57.5539568345
0.208632808
63.1%
16.1%
0.0%
0.0%
62.9%
28.9%
8.2%
701.1503847293
141.1338957637
602988.253236
27600.767244
0.0102980485
0.2249793365
4485
2366
Italy
60192698
0.3164
26948
29624
45220.4497002398
164858.378
0.0971074336
11925.4497002398
2432.3688357696
0.1981212023
0.3333688695
20.2848524916
n/a
0.2770130641
0.2637180696
0.014560755
0.1499448032
0
0.1305872767
5035.9712230216
1007.1942446043
1812.9496402878
350.1199040767
0
1127.0983213429
1510.7913669065
0
1081.325
0
0
0
0
0
0
0
19044969.6472
8962.8204761905
16008.974
101838.418416
0
0
69145.0531388
0
0
0
22226.63894
0
0
0
0
0
0
0
0
0
0
0
10466.7263372
0
1557.312
6349000
1221000
8206.2350119904
8206.2350119904
2637.8896882494
1081.325
0
6117.2962230216
2134.2925659472
3323.7410071942
350.1199040767
0.6881279296
22.1%
9.1%
0.0%
51.3%
17.9%
27.9%
2.9%
11925.4497002398
2400.462456536
6902290.570104
670263.723432
0.0147542931
0.1519378341
31352
33295
Latvia
2254834
0.3228
10442.31
7020.05
n/a
4221.013
0.3710009896
n/a
n/a
n/a
0.9566944231
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
727860.4152
1299.53
1566
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
12.78
696340
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
176725.372284
65565.288
n/a
n/a
25280
2794
Liechtenstein
35911
0.85693
25
17
52.3381294964
116.4668099742
0.0734893604
32.3381294964
6.5080344743
0.9005076299
0.454941117
n/a
n/a
0.8823529412
0.6178694158
0.0558898403
0.7605160803
0
0
0
0
15
0
0
2.3381294964
0
15
0
0
0
0
0
0
0
0
30773.21323
17.32
8.5590713672
272.478387369
126.388751427
0
0
126.388751427
19.700884515
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
14000
0
15
15
17.3381294964
0
0
0
2.3381294964
15
15
0.4638487208
53.6%
0.0%
0.0%
0.0%
7.2%
46.4%
46.4%
32.3381294964
6.5093114073
4876.2324
358.3512
0.0558788764
0.7603668897
…
20
Lithuania
3339456
0.33016
5612.132
5041.54034044
7185.3642406622
8634.709
0.1218057262
3392.3642406622
693.3922267818
1.0158433711
1.5618137805
2.6651047356
0.1747368518
0.3752992544
0.4721214022
0.0790815046
0.6492429142
0
0.0856968153
187.0503597122
0
1661.8705035971
43.1654676259
995.0036457975
0
361.112583841
144.1616800884
0
0
0
0
0
0
0
0
1102554.79296
2833.0027238095
1051.757
29030.9457509
14083.6066738
1293.1862656
565.7689912
3940.176903
4425.1217526
4723.0851647
0
0
0
0
0
0
0
0
0
0
0
0
0
0
290.7148119
1721985.26944
8900
1892.0863309353
1892.0863309353
1500.2779097269
0
0
1182.0540055097
0
2022.9830874381
187.3271477143
0.5577485779
44.2%
0.0%
0.0%
34.8%
0.0%
59.6%
5.5%
3392.3642406622
682.8457796808
361517.996412
44034.962076
0.0803029062
0.6592703702
10870
3793
Luxembourg
497783
0.14814
349
761
1946.4835760336
3951.878
0.0310872451
387.4835760336
77.9949819667
0.7784186604
0.2305348146
n/a
n/a
0.3436724996
0.1990685053
0.0197364902
0.6348742108
0
0.0154845273
0
0
259.6666666667
1.8681055156
13.2685851319
110.3741007194
2.306118
0
0
0
0
0
0
0
0
0
73741.57362
83.76
122.853
3265.4939049799
0
0
2203.670220724
1041.8029791886
0
0
0
0
0
0
0
20.0207050673
0
0
0
0
0
0
0
0
6
17000
0
261.5347721823
261.5347721823
125.9488038513
0
0
13.2685851319
110.3741007194
261.9727846667
1.8681055156
0.674957052
32.5%
0.0%
0.0%
3.4%
28.5%
67.6%
0.5%
387.4835760336
77.9962014157
165457.228104
5143.609404
0.0197361816
0.6348642847
650
1559
Netherlands
16530388
0.17139
1016.13
836.93
n/a
78174.849
0.0402639601
n/a
n/a
n/a
0.0951240305
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2833143.19932
2503.0664
3147.629
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
280.04
269500
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
3273024.577932
131784.930972
n/a
n/a
2239
13782
Norway
4828726
0.20589
9235
9433
11584.3380623501
28157.112
0.4316263685
4680.3380623501
967.414630429
0.969269754
2.6986891094
9.5263222639
0.1320596586
0.2865088402
0.4040229176
0.0334587158
0.0775177752
0.102193587
0.0758321291
0
0
2702.6378896883
0
0
1507.6738609113
107.916
0
0
0
0
0
362.1103117506
0
0
0
994186.39614
6102.4066666667
12153.352
40503.7157468
22772.2018958
0
0
0
0
0
8789.625399
4139.22
0
0
0
936.8793826
814.677724
0
0
0
0
0
0
3051.1113454
354.92
2683000
46000
2702.6378896883
2702.6378896883
1615.5898609113
0
362.1103117506
362.1103117506
1507.6738609113
2810.5538896882
0
0.5774450165
34.5%
0.0%
7.7%
7.7%
32.2%
60.1%
0.0%
4680.3380623501
942.1008083529
1178881.965216
508836.541536
0.0343577363
0.0796006427
23256
6904
Poland
38151602
0.39042
34629.18
35428.56
n/a
93986.673
0.0666604615
n/a
n/a
n/a
0.2719469371
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
14895148.45284
7363.2804
6265.195
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
371.34
4050690
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
3935034.025164
262311.18426
n/a
n/a
67595
30355
Romania
21480401
0.42533
12556.5
12729.63
n/a
34789.327
0.1514074705
n/a
n/a
n/a
0.4297371625
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
9136258.95733
2338.1104
5267.364
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
38.41
3926190
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
1456559.542836
220533.995952
n/a
n/a
27334
7567
Russian Federation
141909244
0.26833
151400
129170.6
124191.532
646914.985
0.0282570607
74758.532
15002.1915323732
0.5268052305
0.9955904931
0.3216985639
0.0506018329
0.394046947
0.6019615895
0.0232612852
0.8232025783
0.0579163018
0.0000802584
13100.7194244604
0
37798.5611510791
0
18568.345323741
4082.3741007194
98.532
1110
0
0
0
0
0
0
0
0
38078507.44252
29749.2826
18279.916
628111.7550774
318487.5299748
0
110385.5713902
156455.3321022
0
0
0
36377.91
0
0
5550
855.4116102
0
0
0
0
0
0
0
0
6
37910600
45652
50899.2805755396
50899.2805755396
23859.2514244604
0
0
31669.0647482014
4082.3741007194
37897.0931510791
1110
0.680849118
31.9%
0.0%
0.0%
42.4%
5.5%
50.7%
1.5%
74758.532
15048.0739831671
27085036.59198
765343.523088
0.0231903602
0.8206925859
848841
49433
Serbia
7320807
0.43939
7051
7120
11022.8864230525
15243.664
0.1297398709
7952.8864230525
1520.5344000506
1.0863401293
1.5537714083
0.4097908878
1.5895797563
1.0367453913
0.7214885573
0.1050160226
0.8094352326
0
0.0023269539
0
9.6533333333
7266.4739936007
105.4998589364
0
80.7372354056
36.9396122782
424.3573894982
0
0
29.225
0
0
0
0
0
3216689.38773
902.3
1977.711
63661.73426132
58152.9698812
505.150885
0
909.271593
2121.633717
357.2081217
0
0
0
0
676.8
56.212762956
599.602804864
0
0
0
262.6784602
0
20.2060354
0
18.506
4998000
3000
7381.6271858704
7381.6271858704
542.0342371821
29.225
0
0
90.390568739
7332.6386058789
529.8572484346
0.9281695718
6.8%
0.4%
0.0%
0.0%
1.1%
92.2%
6.7%
7952.8864230525
1600.8289632255
638221.724352
82802.804148
0.0997486169
0.7688354871
5232
3070
Slovak Republic
5418590
0.45033
10143
7933.72
8824.2075990916
16722.558
0.0725388424
3208.2075990916
670.0891070458
0.5920742479
0.2039707635
13.8412391415
0.0504256073
0.0752638488
0.3635689169
0.0386171221
0.5323647413
0.487627768
0.0268355452
110.3117505995
0
462.829736211
23.9808153477
158.273381295
2111.2129541995
134.4535583693
127.8204030695
4.175
2.0875
62.625
10.4375
0
0
0
0
2440153.6347
4247.1784952381
1213.035
28055.290733792
4829.2424606
202.060354
0
3616.8803366
969.8896992
2024.1793563
0
13680.5388
258.3
0
253.8
1330.368723292
122.2016586
0
0
0
767.8293452
0
0
0
86.094
497720
75000
597.1223021583
597.1223021583
2531.7602969333
79.325
0
272.7601318945
2113.3004541995
659.9082945803
162.2387184173
0.1861233364
78.9%
2.5%
0.0%
8.5%
65.9%
20.6%
5.1%
3208.2075990916
645.7770640077
700140.058344
50787.34938
0.0400709692
0.5524070674
12916
5616
Slovenia
2039669
0.50495
3200.22
2694.597
3908.0276190476
7090.512
0.1418302374
1852.0276190476
460.884933475
0.9080040041
0.7965495847
24.96826691
0.1354264292
0.4648561547
0.473903411
0.0525762995
0.3706988049
0
0.1056281343
0
0
1252.6
0
127.8380952381
415.0714285714
35.0895238095
21.4285714286
0
0
0
0
0
0
0
0
1029930.86155
945.0826840476
1005.649
19296.3303947292
11118.4922150624
3055.15255248
0
0
0
0
4991.3352765788
0
0
0
56.4
0
74.950350608
0
0
0
0
0
0
0
195.626222
820391
50927
1252.6
1252.6
599.4276190476
0
0
127.8380952381
415.0714285714
1287.6895238095
21.4285714286
0.6763398057
32.4%
0.0%
0.0%
6.9%
22.4%
69.5%
1.2%
1852.0276190476
372.7928824271
296865.556416
42104.512332
0.0650002332
0.4582960193
8245
2056
Sweden
9298514
0.15318
63500
67504.73
90148.3869727578
45406.513
0.3483816958
48593.3869727578
10039.6432234812
5.2259303984
4.4973119703
206.2695179036
n/a
0.2338587347
0.5390377865
0.2154166025
0.6183350191
0.3750903354
0.0364794494
10330.9352517986
0
4968.824940048
486.8105515588
4328.9311223022
25867.6981870504
1292.83368
311.17824
1006.175
0
0
0
0
0
0
0
1424346.37452
51646.7602476191
15818.798
420339.782480712
0
0
133016.3310382
0
0
0
68902.580714
157665.39
221.4
0
620.4
50174.371665712
0
0
0
0
4869.6545314
0
4869.6545314
0
1772.66
6405730
1918000
15786.5707434053
15786.5707434053
31800.6412293525
1006.175
0
15666.0413741007
25867.6981870504
6261.658620048
797.9887915588
0.3248707638
65.4%
2.1%
0.0%
32.2%
53.2%
12.9%
1.6%
48593.3869727578
9781.3167633994
1901079.886284
662301.434664
0.2211057965
0.6346653661
92564
41555
Switzerland
7743831
0.26377
6242.3540197412
5649.3540197412
10038.8877644567
26973.503
0.178253377
4207.8877644567
1073.8223293417
0.543385795
0.9925407052
16.3465465363
0.3316494731
0.4142862498
0.4191587617
0.0314012509
0.1761607631
0
0.0415370347
522.8370745966
73.114171109
1350.4908429338
394.007602042
150.3920352298
630.7822845741
316.8803347979
48.7074912281
574.8812199561
138.6478630173
0.1496552861
6.9971896859
0
0
0
0
2042590.30287
2611.1003921184
4808.118
44958.7932848779
22530.6329001725
3806.81706936
0
0
7565.6978165203
806.6929760614
0
0
0
0
479.4
2371.8955431992
179.8808414592
0
26.6633914422
0
6884.2217074374
306.8910392257
0
0
174.78318
2027354.01974118
126584.893810813
2340.4496906813
2340.4496906813
1146.7621458299
720.6759279454
0
1248.1103297825
842.5443187003
1667.5208330178
449.7122829561
0.5562053509
27.3%
17.1%
0.0%
29.7%
20.0%
39.6%
10.7%
4207.8877644567
847.0017361016
1129326.623604
201306.284424
0.039810266
0.2233352695
6944
5831
Turkey
72039206
0.30351
20930
21897.87
n/a
97660.685
0.1015279997
n/a
n/a
n/a
0.2330706016
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
21864619.41306
6477.1439047619
9915.294
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
179
5096000
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
4088857.55958
415133.529192
n/a
n/a
…
26973
Ukraine
45872976
0.31213
15404.2
12141.22
n/a
112338.459
0.0219241213
n/a
n/a
n/a
0.5046411831
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
14318331.99888
1521.244
2462.922
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0.66
7225620
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
4703386.601412
103117.618296
n/a
n/a
21325
7072
United Kingdom
61801570
0.20362
9128
9036
44337.1731296216
197073.414
0.0316672598
5004.1731296216
1022.7003715176
0.0809716182
0.0745388859
2.4433036248
0.0650336121
0.2231946183
0.1128663101
0.0051112184
0.161403874
0
0.088683982
992.8057553957
74.3405275779
949.6402877698
0
1174.3160516839
325.426235012
349.9567721823
0
467.6
296.425
373.6625
0
0
0
0
0
12584035.6834
11910.1328571429
6240.775
42818.4191547
9981.7814876
7011.4942838
0
7213.5546378
2727.814779
79.3795826
0
0
701.1
0
1260
2831.0050909
0
0
0
0
11012.289293
0
0
0
443.79
938000
151000
2016.7865707434
2016.7865707434
1849.6990588782
1137.6875
0
2634.7218070796
696.1917625899
1673.259559952
0
0.4030209424
37.0%
22.7%
0.0%
52.7%
13.9%
33.4%
0.0%
5004.1731296216
1007.285261823
8251069.697352
261288.7677
0.0051894385
0.1638739374
20700
39333
United States
307007000
0.17714
332527.68
323479.15
579233.470901145
2164971.703
0.0543789528
266018.470901145
63878.8776009111
0.8664899201
0.7412279011
5.8072198447
0.0503851974
0.1043095327
0.4592594943
0.0247331665
0.4548297688
0.3667513923
0.0016398109
0
0
33741.9589756038
0
16384.2840954866
185691.224641888
19346.0970468769
7588.3429687058
3266.5631725845
0
0
0
0
0
0
0
54383219.98
380909.554923307
117728.894
2674480.84739495
334077.696587935
0
0
12921.4537997482
721896.204115945
532491.472421449
0
980869.5744
0
0
27199.182
33406.4419852799
0
0
0
0
31618.8220845881
0
0
0
436.22
40310360
1782857.14285714
33741.9589756038
33741.9589756038
229009.948752957
3266.5631725845
0
19650.847268071
185691.224641888
53088.0560224807
7588.3429687058
0.1268406621
86.1%
1.2%
0.0%
7.4%
69.8%
20.0%
2.9%
266018.470901145
53546.6056370585
90643035.261204
4929073.333992
0.0295056409
0.5425930324
761000
313215
JWEE total
799463662
0.2
838837
821446
1,297,416.22
4082578
0.1
588297
131796
0.7
0.9
10.5
0.0636626282
0.2
0.45
2.9%
44.5%
0.2494979012
0.0
40478
3452
155257
2658
60522
254868
37507
12797
14852
587
3540
17
871
0
891
0
176291111
617520
266064
5518032
1123138
114078
568724
259318
787635
587752
345773
1376737
1181
0
39437
113755
3618
0
27
0
80853
307
99869
15829
11131
152087410
8377234
201845
201845.1
365694.1
18996.8
1761.2
116722.7
258907.4
197194.4
15472.8
34.3%
62.2%
3.2%
0.3%
19.8%
44.0%
33.5%
2.6%
588297.2
118417.8
170929381
11139559
3.2%
49.5%
2205593
709119
JWEE 13
259526686
0.2
282103.302674839
295188.308674839
487,436.83
965001.638
0.1
212287.825228151
45697.0166589388
0.8
1.0
19.2
0.1014253861
0.3
0.44
4.4%
44.7%
0.1766853015
0.0
22146.066186449
1995.7439750556
70848.9113246081
2239.5568649053
21668.9094744203
58882.8378544634
15359.8328228378
3737.0799066785
10487.9105578002
587.2838424835
3540.2047156207
17.4346896859
508.4011016744
0
267.6519114688
0
59193619.1571
174441.762971144
95500.701
1913242.69347645
401448.309648912
98762.0293113014
374483.475464098
67112.2941518899
48217.0961277571
48323.7384849783
309482.925557315
338041.862174249
1180.8
0
6687.8611154
71434.8687230349
1724.2979185432
0
26.6633914422
0
49078.4878078617
306.8910392257
89402.5359337734
7528.5566266683
7694.797455022
58391104.3342273
4974675.04181081
97230.2783510179
97230.3
99648.7
14632.8
776.1
54811.3
61465.9
90016.6
5994.1
45.8%
46.9%
6.9%
0.4%
25.8%
29.0%
42.4%
2.8%
212287.8
42731.2
40402688.579784
3998423.349468
4.7%
47.8%
490955
275149
JWEE Europe (excluding the Russian Federation)
350049635
0.2
354560.434674839
368034.949015279
592,044.74
1266739.55380997
0.1
247132.735400943
52836.8639230016
0.7
0.9
18.7
0.0993406198
0.3
0.42
3.9%
38.3%
0.1625052671
0.0
27377.6489202619
3451.7631597079
83456.7626435529
2656.1539872074
25556.0151835254
64984.3353220769
18059.65128465
4098.9562616829
11585.3093078002
587.2838424835
3540.2047156207
17.4346896859
870.511413425
0
890.7046692626
0
83755642.12814
206777.274123525
129932.139071367
2212173.81872823
470572.853661781
114078.204144501
456134.852153374
88899.2093495151
65739.0628153981
55260.9186573488
345772.68225122
359489.897324249
1180.8
0
6687.8611154
79472.7039990707
3618.4236268432
0
26.6633914422
0
49234.0742804417
306.8910392257
99869.2622709734
15829.4586474485
10683.237466922
73849449.6036673
6548725.04181081
116942.32871073
116942.3
112699.0
15730.2
1761.2
65389.5
69023.4
105947.3
6772.5
47.3%
45.6%
6.4%
0.7%
26.5%
27.9%
42.9%
2.7%
247132.7
49745.1
53035851.638916
5439998.79864
4.2%
40.7%
595102
344912
JWEE 12
254108096
0.2
271960.302674839
287254.588674839
478,612.62
948279.08
0.1
209079.61762906
45026.927551893
0.8
1.0
19.3
0.1028033347
0.3
0.44
4.4%
44.6%
17.2%
3.6%
22035.7544358495
1995.7439750556
70386.081588397
2215.5760495576
21510.6360931254
56771.6249002639
15225.3792644685
3609.2595036089
10483.7355578002
585.1963424835
3477.5797156207
6.9971896859
508.4011016744
0
267.6519114688
0
56753465.5224
170194.584475906
94287.666
1885187.40274266
396619.067188312
98559.9689573014
374483.475464098
63495.4138152899
47247.2064285571
46299.5591286783
309482.925557315
324361.323374249
922.5
0
6434.0611154
70104.4999997429
1602.0962599432
0
26.6633914422
0
48310.6584626617
306.8910392257
89402.5359337734
7528.5566266683
7608.703455022
57893384.3342273
4899675.04181081
96633.1560488596
96633.2
97116.9
14553.5
776.1
54538.5
59352.6
89356.7
5831.8
46.2%
46.4%
7.0%
0.4%
26.1%
28.4%
42.7%
2.8%
209079.6
42,085
39702548.52144
3947636.000088
4.7%
47.8%
478039
269533
2007
2007
Population
Rural Population
Roundwood and Fuelwood removals from forest and outside forest (1000m3)
Roundwood and Fuelwood supply from forest and outside forest including net trade (1000m3)
SWE + (S1 -S4) Total calculated domestic consumption of woody biomass (1000m3)
Total primary energy supply, TPES (ktoe)
Share of renewables (RES) in TPES from ktoe
Total wood energy generation (1000m3)
Total wood energy generation (from TJ converted to ktoe) (calculation totals*heating value)
Average wood energy consumption (m3/capita)
Fuelwood consumption per rural inhabitant (m3/inhabitant)
Pellets consumption per inhabitant (kg/inhabitant)
S1/Net Annual Increments
Share of Total Roundwood supply directly used for energy purposes (%)
Share of energy use in calculated domestic consumption of woody biomass (%)
Share of woody biomass in TPES (%) (from TJ)
Share of woody biomass in RES (%) (from TJ)
Share of wood energy generated from black liquor (%) (heating value)
Imported wood fuel as share of wood energy (%)
1-S1-U1
1-S1-U2
1-S1-U3
1-S1-U4
1-S2-U1
1-S2-U2
1-S2-U3
1-S2-U4
1-S3-U1
1-S3-U2
1-S3-U3
1-S3-U4
1-S4-U1
1-S4-U2
1-S4-U3
1-S4-U4
share of rural population
Total domestic woody biomass supply (including cascaded use) (1000 m3)
Renewable energy supply (ktoe)
Total wood energy generation (TJ) (calculation totals*heating value)
Total woody biomass from forest (TJ)
Total woody biomass from outside forest (TJ)
Unspecified (TJ)
Chips and Particles (TJ)
Wood Residues (TJ)
Bark (TJ)
Unspecified solid co-products (TJ)
Black Liquor (TJ)
Crude Tall Oil (TJ)
Unspecified liquid co-products (TJ)
Wood Charcoal (TJ)
Wood Pellets (TJ)
Wood Briquettes (TJ)
Pyrolysis Oils (TJ)
Cellulose based Ethanol (TJ)
Wood based Biodiesel (TJ)
Non-hazardous Wood Waste (TJ)
Hazardous Wood Waste (TJ)
Unspecified Wood Waste (TJ)
Wood from Unknown Sources (TJ)
Share of woody biomass in TPES (%) (from m3)
Share of woody biomass in RES (%) (from m3)
Wood fuel imports (1000 m3)
Total Fuelwood (1000 m3)
Total Pellets (mt)
Total S1 (1000 m3)
Total wood energy generation (ktoe)
Total primary energy supply, TPES (TJ)
Renewable energy supply, RES (TJ)
Net Annual Increments
SWE
Country
S1
S2
S3
S4
U1
U2
U3
U4
% S1
% S2
% S3
% S4
% U1
% U2
% U3
% U4
Tot S-U
Albania
3161337
0.48089
430
373.82
n/a
2050.135
0.2248827516
n/a
n/a
n/a
0.1931912294
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1520255.34993
337.1
461.04
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
0
293700
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
85835.05218
19302.82272
470
214
Armenia
3226520
0.35809
46
44.6
n/a
2845.324
0.0564501617
n/a
n/a
n/a
0.034620508
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1155384.5468
0.12
160.619
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
0
40000
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
119128.025232
6724.796292
360
260
Austria
8300788
0.32447
22783
30703
39339.8153094105
33389.497
0.2408957523
17603.8153094105
3622.3939131128
2.120740261
1.8597611051
48.4291370892
0.2631066301
0.2065956675
0.4474808834
0.1084890232
0.4503567294
0.1652193419
0.0245157082
4.1189393858
403.4254902325
5477.0217948189
458.5405547901
3697.2599343696
5441.5940506282
1032.5343067142
1011.9073605593
0
0
58.8602346866
18.5526432252
0
0
0
0
2693356.68236
16311.8014285714
8043.388
151662.388354209
49037.4407607099
975.1135315698
3433.9354406998
15456.7431408777
11542.9791079731
6850.2991880819
26928.3905415998
25057.56
0
0
600.563260762
9013.7364124163
2016.3060825715
0
0
0
749.3208869473
0
0
0
0.1061248477
0.4405426274
431.57
5009000
402000
6343.1067792274
6343.1067792274
11183.2956522713
77.4128779118
0
3701.3788737554
5845.0195408608
6568.4163362197
1489.0005585746
0.3603256833
63.5%
0.4%
0.0%
21.0%
33.2%
37.3%
8.5%
17603.8153094105
3543.4552829638
1397951.460396
336760.568784
25136
21736
Belarus
9702116
0.25305
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
28057.753
0.0456910787
ERROR:#N/A
ERROR:#N/A
n/a
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2455120.4538
ERROR:#N/A
1281.989
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
n/a
n/a
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
n/a
1174722.002604
53674.315452
22809
4893
Belgium
10625700
0.02589
4945
7413.65
n/a
57025.137
0.026717095
n/a
n/a
n/a
2.5687081446
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
275099.373
n/a
1523.546
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
399.87
706650
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
2387528.435916
63787.823928
5289
15085
Bosnia and Herzegovina
3934816
0.51379
3753
3361.15
n/a
5304.575
0.0994980748
n/a
n/a
n/a
0.5190513094
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2021669.11264
n/a
527.795
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
1.83
1049350
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
222091.9461
22097.72106
…
650
Bulgaria
7659764
0.28542
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
20115.636
0.0478590883
ERROR:#N/A
ERROR:#N/A
n/a
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
2186249.84088
ERROR:#N/A
962.716
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
n/a
n/a
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
ERROR:#N/A
n/a
842201.448048
40306.993488
14120
2849
Canada
32931956
0.19418
198236
199893.52
241867.016972706
271731.208
0.1617114476
77816.0169727057
37351.6252133957
2.3629333457
0.467028522
7.4699480347
n/a
0
0.3217305855
0.0576434056
0.3564584106
0.9941533987
0.0023455325
0
0
0
0
0
29992.45
611.9047619048
0
347.619047619
0
0
0
10047.1860609576
27433.5672034854
9383.2898987389
0
6394727.21608
408102.493333333
43942.047
1563837.84443445
0
0
0
0
0
0
0
1554694.708
0
0
330
5860.8730142284
0
0
0
0
2952.2634202232
0
0
0
0.0576434056
0.3564584106
182.52
2986520
246000
0
0
30604.3547619048
347.619047619
46864.0431631819
10394.8051085766
57426.0172034854
9995.1946606437
0
0
39.3%
0.4%
60.2%
13.4%
73.8%
12.8%
0.0%
77816.0169727057
15663.5122326996
11376842.216544
1839765.623796
442030
164051
Cyprus
783976
0.2968
24.832
25.53
573.5257841727
2437.236
0.0299371911
31.5257841727
4.2206586849
0.0402126904
0.0345661814
n/a
0.0572269457
0.1578056004
0.0549683816
0.0017317398
0.0578457689
0
1.7242013617
0
0
4.0287769784
0
0
0
27.4970071942
0
0
0
0
0
0
0
0
0
232684.0768
70.7111904762
72.964
176.71053782
16.973069736
16.973069736
0
0
12.984398348
0
0
0
0
0
129.78
0
0
0
0
0
0
0
0
0
0.0026036852
0.0869715913
54.3568
8043
0
4.0287769784
4.0287769784
27.4970071942
0
0
0
0
31.5257841727
0
0.1277930774
87.2%
0.0%
0.0%
0.0%
0.0%
100.0%
0.0%
31.5257841727
6.3457951877
102042.196848
3054.856752
40
542
Czech Republic
10334160
0.26459
18508
16472
n/a
45845.189
0.0466675576
n/a
n/a
n/a
0.608196115
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2734315.3944
2340.236
2139.483
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
50
1663000
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
1919446.373052
89575.874244
22669
10887
Denmark
5461438
0.13134
2358.4
2829.86
n/a
19762.281
0.1629229946
n/a
n/a
n/a
1.9941997724
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
717305.26692
1673.47
3219.73
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
447.32
1430450
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
827407.180908
134803.65564
5176
9191
Estonia
1341672
0.30513
4500
4500
n/a
5623.844
0.1069592258
n/a
n/a
n/a
2.3439218814
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
409384.37736
2123.2
601.522
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
0.3
959565
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
235459.100592
25184.523096
11361
4698
Finland
5288720
0.1491
56869.76
69311.47
71204.1575584171
36795.024
0.2349330442
35729.1575584171
7545.6126563698
6.7557287129
6.788868868
26.5920676459
0.031747636
0.1032426451
0.5017847101
0.2050715514
0.872893603
0.4847786789
0.0047370051
2141.8481653034
361.0262474952
4653.025086576
0
8871.5418099739
18158.8517890686
1070.73946
0
446.75
25.375
0
0
0
0
0
0
788548.152
43952.4121595679
8644.367
315919.710696893
21089.0114674795
0
39206.0020700569
21739.4797303562
4207.2840832877
62658.2191557329
9021.9615635347
153151.14
0
0
0
276.6607877746
0
0
0
0
4341.2727554012
228.6790832695
0
0
0.1954581747
0.8319739582
169.2492
5353350
140638
7155.8994993746
7155.8994993746
28101.1330590425
472.125
0
11460.1399752773
18545.2530365638
5723.764546576
0
0.2002817863
78.7%
1.3%
0.0%
32.1%
51.9%
16.0%
0.0%
35729.1575584171
7191.8882288284
1540534.064832
361922.357556
89587
35475
France
63824699
0.14749
63191
62021
86343.4554160619
263483.089
0.0632997816
38469.4554160619
9371.3673297677
0.6027361824
2.5803354195
2.3501873468
0.2235665269
0.4416537055
0.4455399107
0.0355672441
0.5618857305
0.0754397983
0.0079153707
205.5992704058
0
27095.0287277702
91.1764705882
479.3179848552
7759.8400412797
712.32312
27.1602
437.7722465116
0
1564.1686046512
97.06875
0
0
0
0
9413504.85551
27693.6919333333
16678.422
392360.407362712
207719.914145044
75702.14658
3058.2971754776
0
0
0
50711.3144787552
29599.59
0
0
2160
2810.6381478
281.06381478
0
0
0
20317.4430208552
0
0
0
0.0293889077
0.4642813442
304.5
24290000
150000
27391.8044687642
27391.8044687642
8978.6413461348
2099.0096011628
0
1122.6895017726
7759.8400412797
29371.5204524213
215.4054205882
0.7120403492
23.3%
5.5%
0.0%
2.9%
20.2%
76.4%
0.6%
38469.4554160619
7743.4801848844
11031509.970252
698292.172296
102456
47874
Germany
82266372
0.26151
81173.08
78879.85
124990.679100986
331169.028
0.0785358044
41349.6791009864
10959.7992721848
0.5026316111
0.4233587708
15.6078354835
0.1645336741
0.2719942408
0.3308221013
0.0330942762
0.4213909367
0.0407741603
0.0333925203
4190.1417868488
0
17264.7231299149
0
1236.3687902548
3573.2792106017
3288.7695383446
0
8651.375
0
3145.0216450216
0
0
0
0
0
21513478.94172
29742.6242857143
26008.626
458864.875927834
173063.884959584
37722.64748826
0
0
0
4385.72193865
0
18709.83
0
0
4410
34868.2065872
16497.223911
0
0
0
169207.36104314
0
0
0
0.0251328988
0.3200183538
1380.77
9107920
1284000
21454.8649167636
21454.8649167636
8098.4175392011
11796.3966450216
0
14077.8855771036
3573.2792106017
23698.5143132811
0
0.5188641214
19.6%
28.5%
0.0%
34.0%
8.6%
57.3%
0.0%
41349.6791009864
8323.2376779665
13865384.864304
1088929.153368
122000
83641
Iceland
311566
0.06584
0
1.42
n/a
4836.174
0.8165454758
n/a
n/a
n/a
0.0019499349
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
20513.50544
9.14
3948.956
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
1.72
40
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
202480.933032
165334.889808
14
188
Ireland
4356930
0.38059
2772.529
2828.529
4832.0418161879
15088.82
0.0315161822
434.0418161879
95.5136305532
0.0996210213
0.0337714783
5.6783101863
0.0151900371
0.021195483
0.0898257575
0.0063300928
0.2008521446
0
0.1818973589
0
0
38.3693045564
21.5827338129
0
198.8022778186
64.65
0
0
110.6375
0
0
0
0
0
0
1658203.9887
1924.1391295238
475.542
3998.964684
505.150885
0
0
424.3267434
424.3267434
912.8651999
0
0
0
0
30
509.1735775
122.2016586
0
0
0
1070.9198762
0
0
0
0.0057902384
0.1837227109
78.95106
56000
24740
59.9520383693
59.9520383693
263.4522778186
110.6375
0
0
309.4397778186
103.0193045564
21.5827338129
0.1381250288
60.7%
25.5%
0.0%
0.0%
71.3%
23.7%
5.0%
434.0418161879
87.3678654068
631738.71576
19909.992456
4485
4398
Italy
59375288
0.3164
8124
13071
n/a
179598.604
0.0670098527
n/a
n/a
n/a
0.3086817152
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
18786341.1232
3970
12034.876
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
1050
5799000
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
7519434.352272
503876.188368
31352
41810
Latvia
2276100
0.3228
14320.9
11879.08
11431.7770718819
4669.844
0.3013239843
6860.7770718819
1385.2925788632
3.0142687368
3.587872623
15.816528272
0.203331775
0.3855602016
0.6001496555
0.2966464359
0.9844766809
0
0.0022242722
1197.7
0
3080
302.4004796163
1191.0126526919
4.89141
323.1156383405
719.6240349832
42.03285625
0
0
0
0
0
0
0
734725.08
3014.164113551
1407.136
57999.4296918464
38113.7918803261
230.0275275971
247.725994004
13904.6903127472
4249.6505205829
477.468189339
0
0
0
0
12.51
237.8044276356
118.9022138178
0
0
0
265.4163779967
141.4422478
0
0
0.2957270753
0.9814256106
15.260236
2636100
36000
4580.1004796163
4580.1004796163
2238.6437360156
42.03285625
0
2430.7455089419
4.89141
3403.1156383405
1022.0245145995
0.6675775108
32.6%
0.6%
0.0%
35.4%
0.1%
49.6%
14.9%
6860.7770718819
1380.999308008
195517.028592
58913.970048
25280
4571
Liechtenstein
35341
0.85693
38
30
40.1007194245
112.4086844368
0.0303156168
14.1007194245
2.8377636417
0.3989903915
0.4292587644
n/a
n/a
0.4700239808
0.3516325798
0.025245057
0.832740996
0
0.0049642857
7.0503597122
0
0
7.0503597122
0
0
0
0
0
0
0
0
0
0
0
0
30284.76313
0.09
3.4077386071
118.811488152
118.811488152
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0.0252500103
0.832904387
0.07
13000
0
14.1007194245
14.1007194245
0
0
0
7.0503597122
0
0
7.0503597122
1
0.0%
0.0%
0.0%
50.0%
0.0%
0.0%
50.0%
14.1007194245
2.8383204357
4706.3268
142.6752
…
26
Lithuania
3375618
0.33016
6195
4878.18
8831.4988009592
9452.75
0.1019324535
3376.4988009592
286.5110520656
1.0002609303
1.2118413853
34.3640779259
0.0170747129
0.1233899662
0.3823245496
0.0718999487
0.7053685676
0
0.0280533196
601.9184652278
0
0
0
1645.0839328537
0
1043.1654676259
0
0
0
86.3309352518
0
0
0
0
0
1114494.03888
3120.9119047619
963.542
11995.644727884
1381.8503489352
0
758.332508562
3707.403375192
3707.5246114044
2410.5279212214
0
0
0
0
0
0
0
0
0
0
30.005962569
0
0
0
0.0718999487
0.7053685676
94.722
1350590
116000
601.9184652278
601.9184652278
2688.2494004796
86.3309352518
0
2247.0023980815
0
1129.4964028777
0
0.1782670455
79.6%
2.6%
0.0%
66.5%
0.0%
33.5%
0.0%
3376.4988009592
679.6522403745
395767.737
40341.576456
10870
5455
Luxembourg
479993
0.14814
268
380
1479.0622241775
4208.341
0.0304818455
359.0622241775
72.2697252889
0.7480572095
0.2823946497
n/a
n/a
0.5650637385
0.2427634337
0.0171729727
0.56338363
0
0.0724108476
0
0
213.2398081535
1.48441247
8.654676259
134.273381295
1.409946
0
0
0
0
0
0
0
0
0
71106.16302
2074
128.278
3025.7888583945
0
0
1809.248409716
1204.2999158754
0
0
0
0
0
0
0
12.2405328031
0
0
0
0
0
0
0
0
0.0171742961
0.5634270449
26
20080
0
214.7242206235
214.7242206235
144.338003554
0
0
8.654676259
134.273381295
214.6497541535
1.48441247
0.5980139546
40.2%
0.0%
0.0%
2.4%
37.4%
59.8%
0.4%
359.0622241775
72.2752944638
176194.820988
5370.743304
650
1120
Netherlands
16381696
0.17139
1222.06
997.96
16834.8714869945
79349.595
0.0302317107
3236.8714869946
666.5670754036
0.1975907432
0.0931737121
40.8993061524
0.0973682056
0.5189922234
0.1922718263
0.0084003841
0.2778666472
0
0.5411398034
194.734647065
0
240.5901365864
82.6086956522
1789.9917672818
304.347826087
270
124.727826087
196.4705882353
0
0
33.4
0
0
0
0
2807658.87744
4564.0085714286
2398.874
27907.830313
1616.482832
3030.90531
0
1515.452655
4344.297611
0
0
0
0
0
1350
13645.851877
40.7338862
0
0
0
2364.1061418
0
0
0
0.0082110916
0.2716052576
1751.6
261600
670000
517.9334793035
517.9334793035
2489.0674194557
229.8705882353
0
2181.1970025821
304.347826087
510.5901365864
240.7365217391
0.1600105168
76.9%
7.1%
0.0%
67.4%
9.4%
15.8%
7.4%
3236.8714869946
651.5467908104
3322208.84346
100436.056632
2239
13598
Norway
4709152
0.20589
10514
12321
11358.652705036
27545.596
0.4650058398
2794.652705036
584.2421203807
0.5934513698
2.5145237331
6.1582212679
0.1199903198
0.1993048853
0.2460373407
0.0212100011
0.0456123327
0
0.1202403431
0
0
2455.6354916067
0
0
0
68.034
0
0
0
0
0
270.9832134293
0
0
0
969567.30528
6175.0333333333
12808.863
24461.0490961
20690.9802496
0
0
0
0
0
0
0
0
0
0
590.6413499
896.1454964
0
0
0
0
0
0
2283.2820002
0.0204218849
0.0439174806
336.03
2438000
29000
2455.6354916067
2455.6354916067
68.034
0
270.9832134293
270.9832134293
0
2523.6694916067
0
0.8786907537
2.4%
0.0%
9.7%
9.7%
0.0%
90.3%
0.0%
2794.652705036
562.5329917211
1153279.013328
536281.476084
23256
8564
Poland
38120560
0.39042
35934.56
37639.03
n/a
96823.686
0.0498177481
n/a
n/a
n/a
0.2301688717
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
14883029.0352
8012.14
4823.538
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
239.58
3425610
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
4053814.085448
201951.888984
67595
32047
Romania
21546873
0.42533
15341
15573.05
n/a
39697.939
0.1244406668
n/a
n/a
n/a
0.409840918
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
9164531.49309
1961.6
4940.038
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
35
3756000
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
1662073.310052
206829.510984
27334
7175
Russian Federation
142114903
0.26833
207000
158024
103692.381294964
672590.682
0.028846711
38273.381294964
7763.1781711665
0.2693129326
1.1748141274
n/a
n/a
0.20905667
0.3691050472
0.011542203
0.4001219754
0.1435885315
0.0003326594
0
0
33035.9712230216
0
0
5237.4100719424
0
0
0
0
0
0
0
0
0
0
38133691.92199
32297.488
19402.029
325028.7436704
0
0
278358.3436704
0
0
0
0
46670.4
0
0
0
0
0
0
0
0
0
0
0
0
0.0114542363
0.3970725232
12.732
44800000
0
33035.9712230216
33035.9712230216
5237.4100719424
0
0
0
5237.4100719424
33035.9712230216
0
0.8631578947
13.7%
0.0%
0.0%
0.0%
13.7%
86.3%
0.0%
38273.381294964
7704.0126110633
28160026.673976
812324.150172
848841
65419
Serbia
7381579
0.43939
7125
7138
9662.8045564296
16642.753
0.1001612534
6228.8045564296
1202.0818261142
0.8438309143
1.7056217705
0.1368270935
1.2826953869
0.839136729
0.6446166349
0.0722285445
0.7211226108
0
0.0063115578
15
7.1942446043
5814.0865087365
153.4772182254
2.3980815348
16.7865707434
25.038
184.3864325853
0
0
10.4375
0
0
0
0
0
3243391.99681
1014.7080666667
1666.959
50328.76189575
46958.8262696
585.9750266
0
343.5026018
1353.8043718
19.84489565
0
0
0
0
90
61.1008293
814.677724
0
0
0
101.030177
0
0
0
0.0753355025
0.7521421702
39.31346
5532000
1010
5989.7579715662
5989.7579715662
228.6090848634
10.4375
0
17.3980815348
23.9808153477
5849.5620087364
337.8636508107
0.9616223976
3.7%
0.2%
0.0%
0.3%
0.4%
93.9%
5.4%
6228.8045564296
1253.7901599224
696798.782604
69792.239412
5232
3434
Slovak Republic
5397318
0.45033
8209
7089
10098.1938847655
17848.643
0.0544825172
3561.1938847655
742.1864789799
0.6598080537
0.1448217453
0.7411088248
0.07000509
0.1217138858
0.3526565171
0.0415822356
0.7632216303
0.4208857453
0.0063720204
230.7913669065
49.7841726619
562.3501199041
19.9040767386
69.4716834532
2122.7409363242
274.8776978417
12.0863309353
0
100.2
118.9875
0
0
0
0
0
2430574.21494
5744.0590476191
972.439
31073.86350193
6704.36254572
565.7689912
0
3538.885039956
3632.236923504
1250.22842595
0
13078.5462
0
0
60
122.2016586
0
0
0
0
2121.633717
0
0
0
0.0401615595
0.7371458144
22.692
352000
4000
862.829736211
862.829736211
2479.1766485545
219.1875
0
300.2630503597
2272.7251089861
956.2153177458
31.9904076739
0.24228665
69.6%
6.2%
0.0%
8.4%
63.8%
26.9%
0.9%
3561.1938847655
716.8293385744
747286.985124
40714.076052
12916
6537
Slovenia
2010323
0.50495
3159.01
2707.01
3147.5816520712
7319.578
0.1004721857
950.5816520712
238.5772295111
0.4728502097
0.6373677174
24.871625107
0.0002687579
0.2463880813
0.3020038103
0.0325943968
0.32441214
0
0.0746911113
1.95
0
665.025
0
16.6888784
224.2687736712
18.1
0
24.549
0
0
0
0
0
0
0
1015112.59885
439.8357142857
735.414
9988.7514451712
22.0649906568
0
7525.0104674556
0
0
58.343993211
2127.5742914076
0
0
0
0
18.1347261362
0
0
0
0
237.622976304
0
0
0
0.0261410807
0.2601822632
71
647000
50000
666.975
666.975
259.0576520712
24.549
0
43.1878784
224.2687736712
683.125
0
0.7016493518
27.3%
2.6%
0.0%
4.5%
23.6%
71.9%
0.0%
950.5816520712
191.3416789325
306456.091704
30790.313352
8245
2197
Sweden
9148092
0.15318
78003.54568
81586.74568
93132.379763789
50059.598
0.305490128
45945.379763789
9506.2741179946
5.0224002736
4.229472621
180.3654794901
n/a
0.1791799013
0.4933341109
0.1898991302
0.6216211681
0.4026965143
0.0178821027
9640.2877697842
0
4546.7625899281
431.654676259
2931.9020383693
26370.1145371703
905.556
206.8646522782
912.2375
0
0
0
0
0
0
0
1401304.73256
49490.9808
15292.713
398008.6847722
0
0
123175.9917984
0
0
0
71468.7472098
160276.71
0
0
0
34257.1982942
0
0
0
0
7577.263275
1252.7741948
0
0
0.1847458285
0.6047522048
821.6
5926780
1650000
14618.7050359712
14618.7050359712
30414.4372278178
912.2375
0
13484.4273081535
26370.1145371703
5452.3185899281
638.5193285372
0.3181757363
66.2%
2.0%
0.0%
29.3%
57.4%
11.9%
1.4%
45945.379763789
9248.3019044596
2095895.249064
640275.307884
92564
47187
Switzerland
7551116
0.26377
6491.251
5327.926
11092.8571428571
25765.341
0.1778563691
3714.8571428571
482.5042638416
0.4919613396
0.9106669188
16.9511367591
n/a
0.2774194115
0.3348873149
0.0290219357
0.163176252
0
0.0674646401
0.00
0.00
1,120.44
357.63
0.00
0.00
307.99
273.15
265.00
0.00
0.00
0.00
202.24
830.95
331.09
26.36
1991757.86732
2594.2118080139
4582.53
20201.4885185216
0
0
12540.3828437462
0
0
0
2050.710532746
0
0
0
982.35
2382.9323427
0
0
0
0
2245.1127993294
0
0
0
0.0290219357
0.163176252
250.6215
1813828
128000
1478.0700952381
1478.0700952381
581.1452380952
265
1390.6418095238
467.2380952381
830.9523809524
1759.5238095238
657.1428571429
0.3978807363
15.6%
7.1%
37.4%
12.6%
22.4%
47.4%
17.7%
3714.8571428571
747.760070016
1078743.296988
191861.36604
6944
7378
Turkey
70137756
0.30351
18319
20390
n/a
100005.025
0.0960137653
n/a
n/a
n/a
0.2291014743
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
21287510.32356
3796
9601.859
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
364
4877000
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
4187010.3867
402010.632612
…
27615
Ukraine
46329000
0.31213
16884.3
13660.45
n/a
137343.645
0.0125750849
n/a
n/a
n/a
0.6020273982
n/a
n/a
0
n/a
n/a
n/a
n/a
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
14460670.77
870.01
1727.108
n/a
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n/a
n/a
15.96
8705720
0
0
0
0
0
0
0
0
0
0
…
…
…
…
…
…
…
…
0
n/a
5750303.72886
72310.557744
21325
8512
United Kingdom
60986648
0.20362
9118
8658.9074125
50550.4626196684
210967.834
0.0219264563
2274.4626196684
446.8615341658
0.0372944357
0.0246229269
4.2252855084
0.0194326526
0.0524298481
0.0449939032
0.0021181501
0.0966024809
0
0.2802094195
217.6772
0
236.308
0
1072.3917946684
0
530.46375
0
217.621875
0
0
0
0
0
0
0
12418101.26576
13796.5171687133
4625.777
18709.1987124556
2982.6498301091
842.59167618
0
2038.2126641503
808.0666073162
0
0
0
0
0
1428
8503.19874425
0
0
0
0
2106.47919045
0
0
0
0.0021701148
0.098972437
637.3258504
305770
257686
453.9852
453.9852
1602.8555446684
217.621875
0
1507.6908696684
0
766.77175
0
0.1996010821
70.5%
9.6%
0.0%
66.3%
0.0%
33.7%
0.0%
2274.4626196684
457.8244229397
8832801.273912
193672.031436
20700
48276
United States
301621157
0.17714
444003
436301.24
789899.841185512
2337013.725
0.0466771298
365295.841185512
124427.385299529
1.2111081491
0.9488449538
3.1728543499
0.0644230933
0.1161936731
0.462458431
0.0314632527
0.6740614258
0.8915051086
0.0014399288
0
0
50695.4436450839
0
28559
265617.52
13379.7944072135
4113.0831332141
2814
117
0
0
0
0
0
0
53429171.75098
492273.891904762
109085.093
5209525.76772068
427157.002778478
0
0
0
0
90480.023430784
0
4644318.83523
0
0
26610
20959.9062814134
0
0
0
0
0
0
0
0
0.0314632527
0.6740614258
526
50696000
957000
50695.4436450839
50695.4436450839
311669.397540428
2931
0
31373
265734.52
64075.2380522975
4113.0831332141
0.1387791426
85.3%
0.8%
0.0%
8.6%
72.7%
17.5%
1.1%
365295.841185512
73530.0533175643
97846090.6383
4567174.673724
761000
424604
JWEE total
756513325
0.2
1210203
1168661
1679045
4390095
0.1
691526
216173
0.9
1.0
8.1
0.044596221
0.2
0.41
4.9%
81.5%
0.7342562011
0.0
18649
821
154742
1928
51571
365157
23888
6673
14355
353
4984
149
10249
28265
9714
26
161515879
1138223
265130
9050734
976488
119672
470113
63873
34283
169504
162309
6645557
0
0
38193
133540
19891
0
0
0
215687
1623
0
0
3.2%
52.5%
6871
161165581
6117074
176140
176140.2
447289.2
19841.5
48254.7
94824.8
394596.3
193328.5
8775.9
25.5%
64.7%
2.9%
7.0%
13.7%
57.1%
28.0%
1.3%
691525.5
139196.5
183804497
11100444
2581215
987519
JWEE 13
257776554
0.2
339188.00768
356656.9680925
506,447.02
1015174.782
0.1
196652.016828995
44289.6626365695
0.8
1.0
15.9
0.1232833972
0.2
0.39
4.4%
50.4%
0.2156442596
0.0
16647.4144986345
821.4301549939
67690.4048473368
1535.4542381224
18385.9956721381
64000.5515686007
8259.9528260947
1715.5562144532
10955.3056215116
236.2125
4897.4754843594
115.6213932252
202.2380952381
830.9523809524
331.0938095238
26.3575238095
58871125.53635
194849.692732486
87927.419
1854319.59526789
508100.278923639
116411.216363546
190748.868205552
44745.4498364155
21981.682235629
76135.5227971758
162308.698617843
399873.3762
0
0
9890.693260762
92835.4226406802
19731.4731909515
0
0
0
210075.459717627
1481.4532780695
0
0
3.9%
45.0%
4287.9498704
58421771
4092074
86694.7037390876
86694.7
92362.1
16204.6
1390.6
46191.0
65889.1
81178.9
3393.0
44.1%
47.0%
8.2%
0.7%
23.5%
33.5%
41.3%
1.7%
196652.0
39583.9
42503337.772776
3681345.178692
490955
309795
JWEE Europe (excluding the Russian Federation)
279365316
0.2
360695.96768
374062.1880925
542106.202684077
1104551.03868444
0.1
209781.202684077
46558.6013812549
0.8
1.0
17.6
0.1249994527
0.2
0.39
4.2%
50.3%
0.2051352752
0.0
18648.8179706395
821.4301549939
70797.7551757698
1926.0293606331
23003.4293487065
64175.5174233927
9894.8239860612
2559.9080755234
11193.8090659969
236.2125
4983.8064196112
149.0213932252
202.2380952381
830.9523809524
331.0938095238
26.3575238095
63487182.13278
203474.867322227
92572.1007386071
1949315.52263038
549331.215473052
119672.149201143
189945.678298402
62668.6962634792
34283.1549786162
79023.5189077362
162308.698617843
399873.3762
0
0
11253.203260762
106706.838412513
19891.1092909693
0
0
0
212734.988199993
1622.8955258695
0
0
3.8%
45.6%
6123.6021064
62662981
4914074
92194.0326620362
92194.0
99633.7
16562.8
1390.6
53048.3
66064.1
86007.5
4661.3
43.9%
47.5%
7.9%
0.7%
25.3%
31.5%
41.0%
2.2%
209781.2
42226.7
46245342.88764
3875808.713724
528694
332325
JWEE 12
252379236
0.2
330979.00768
349567.9680925
496,348.82
997326.139
0.1
193090.822944229
43547.4761575896
0.8
1.0
16.2
0.1247229086
0.2
0.39
4.4%
50.1%
21.2%
2.2%
16416.623131728
771.645982332
67128.0547274328
1515.5501613838
18316.5239886849
61877.8106322765
7985.075128253
1703.469883518
10955.3056215116
136.0125
4778.4879843594
115.6213932252
202.2380952381
830.9523809524
331.0938095238
26.3575238095
56440551.32141
189105.633684867
86954.98
1823245.73176596
501395.916377919
115845.447372346
190748.868205552
41206.5647964595
18349.445312125
74885.2943712258
162308.698617843
386794.83
0
0
9830.693260762
92713.2209820802
19731.4731909515
0
0
0
207953.826000627
1481.4532780695
0
0
3.9%
44.7%
4265.2578704
58069771
4,088,074.00
85831.8740028766
85831.9
89882.9
15985.4
1390.6
45890.7
63616.4
80222.7
3361.0
44.5%
46.5%
8.3%
0.7%
23.8%
32.9%
41.5%
1.7%
193090.8
38,867
41756050.787652
3640631.10264
478039
303258
2005
2005
Population
Rural Population
Roundwood and Fuelwood removals from forest and outside forest (1000m3)
Roundwood and Fuelwood supply from forest and outside forest including net trade (1000m3)
Total primary energy supply, TPES (ktoe)
Share of renewables (RES) in TPES
Total wood energy generation (1000m3)
Average wood energy consumption (m3/capita)
Fuelwood consumption per rural inhabitant (m3/inhabitant)
S1/Net Annual Increments
Share of Total Roundwood supply directly used for energy purposes (%)
Share of woody biomass in TPES (%)
Share of woody biomass in RES (%)
Res (ktoe)
Total wood energy generation (ktoe)
Direct mobilisation of woody biomass for energy production from forests available for wood supply (m3/ha)
Total woody biomass used for energy per ha of Forest available for wood supply (m3/ha)
Total Fuelwood (1000 m3)
Total S1 (1000 m3)
FAWS (1000 ha)
OWL (1000 ha)
Net Annual Increments
Albania
3142065
0.48089
296.2
240.023
2206.3
31.5%
n/a
n/a
0.1
n/a
n/a
n/a
n/a
1510987.63785
694.3
n/a
n/a
n/a
164.7
0
611.3
215.9
470.0
Armenia
3217500
0.35809
42.7
42.2
2505.0
6.1%
n/a
n/a
0.0
n/a
n/a
n/a
n/a
1152154.575
153.5
n/a
n/a
n/a
38.7
0
283
…
360.0
Austria
8227828
0.32447
16471
24471
33761.3
21.0%
14443.0
1.8
1.5
31.3%
28%
9%
41%
2669683.35116
7085.2
2907.2
2.1
4.3
3892
6929.323
3343
0
25136.0
Belarus
9795287
0.25305
8696
7254.954
26873.1
4.2%
n/a
n/a
0.5
n/a
n/a
n/a
n/a
2478697.37535
1133.5
n/a
n/a
n/a
1265.954
0
6376.3
50
22809.0
Belgium
10478617
0.02589
4950
7044
58684.7
2.0%
n/a
n/a
2.3
n/a
n/a
n/a
n/a
271291.39413
1156.1
n/a
n/a
n/a
635
0
667
0
5289.0
Bosnia and Herzegovina
3915238
0.51379
3806
3414.124
5042.1
13.9%
n/a
n/a
0.5
n/a
n/a
n/a
n/a
2011610.13202
699.6
n/a
n/a
n/a
1072.346
0
1252
0
…
Bulgaria
7739900
0.28542
5861.67
5353.397
19945.6
5.5%
n/a
n/a
1.2
n/a
n/a
n/a
n/a
2209122.258
1098.1
n/a
n/a
n/a
2555.04
0
2561
0
14120.0
Canada
32245209
0.19418
203121
203534.156
272197.6
15.9%
47810.0
1.5
0.4
n/a
n/a
4%
22%
6261374.68362
43411.2
9623.6
n/a
0.2
2605.156
0
310134
0
442030.0
Cyprus
757794
0.2968
9.656
10.149
2220.1
2.4%
n/a
n/a
0.0
n/a
n/a
n/a
n/a
224913.2592
53.7
n/a
n/a
n/a
4.182
0
43.2
0
40.0
Czech Republic
10235828
0.26459
15510
13456
44940.9
4.0%
7939.0
0.8
0.4
25.2%
37%
4%
90%
2708297.73052
1785.2
1598.0
2.0
3.2
966
5036
2518
0
22669.0
Denmark
5419432
0.13134
2962.5
3433.959
18888.6
15.1%
n/a
n/a
2.2
n/a
n/a
n/a
n/a
711788.19888
2860.0
n/a
n/a
n/a
1548.95
0
385
0
5176.0
Estonia
1346097
0.30513
5500
5460.16
5164.3
11.4%
n/a
n/a
2.3
n/a
n/a
n/a
n/a
410734.57761
588.5
n/a
n/a
n/a
932.825
0
2074.1
92
11361.0
Finland
5246096
0.1491
52250.182
67708.447
34254.2
23.6%
32913.1
6.3
6.8
8.6%
10%
19%
82%
782192.9136
8081.5
6625.0
0.3
1.6
5309.608
6802.5293347627
20004
734
89587.0
France
62885822
0.14749
52498.739
50567.122
270627.9
5.8%
41265.1
0.7
2.6
38.6%
69%
3%
53%
9275029.88678
15565.9
8306.2
2.4
2.8
24141.112
34786.6197183099
14743
0
102456.0
Germany
82469422
0.26151
56946
53478
338258.0
4.9%
30270.6
0.37
0.30
12.1%
24%
0.018
0.364
21566578.54722
16727.2
6093.140
1.232
2.864
6387.000
13023.000
10568.000
0.000
122000.000
Iceland
296734
0.06584
0
0.604
3480.5
75.7%
n/a
n/a
0.0
n/a
n/a
n/a
n/a
19536.96656
2635.3
n/a
n/a
n/a
0.030
0.000
41.500
94.100
14.000
Ireland
4159096
0.38059
2648
2542.994
14436.9
2.5%
n/a
n/a
0.0
n/a
n/a
n/a
n/a
1582910.34664
363.5
n/a
n/a
n/a
19.298
0
656.3
0
4485.0
Italy
58607043
0.3164
8690.855
14295.779
183872.9
6.3%
n/a
n/a
0.4
n/a
n/a
n/a
n/a
18543268.4052
11625.2
n/a
n/a
n/a
6537.542
0
7741
616.7
31352.0
Latvia
2300512
0.3228
12842.6
9663.651
4416.0
33.4%
n/a
n/a
0.8
n/a
n/a
n/a
n/a
742605.2736
1476.0
n/a
n/a
n/a
607.757
0
3088.3
112
25280.0
Liechtenstein
34716
0.85693
22.167
22.167
0.0
n/a
n/a
n/a
0.1
n/a
n/a
n/a
n/a
29749.18188
0.0
n/a
n/a
n/a
4.167
0
4
0
…
Lithuania
3414304
0.33016
6045
5158.987
8842.1
10.0%
3208.6
0.9
1.0
15.5%
29%
7%
73%
1127266.60864
880.9
645.9
0.8
1.7
1116.307
1484.2
1835
0
10870.0
Luxembourg
465158
0.14814
248.95
311.463
4388.1
1.7%
n/a
n/a
0.3
n/a
n/a
n/a
n/a
68908.50612
72.7
n/a
n/a
n/a
20.08
0
86.1
0
650.0
Netherlands
16319868
0.17139
1110
938.795
78823.9
2.7%
1962.0
0.1
0.1
15.9%
33%
1%
18%
2797062.17652
2153.5
394.9
1.1
6.7
263.695
312.5
295
0
2239.0
Norway
4623291
0.20589
9667.179
12398.112
26759.3
48.5%
5772.8
1.2
1.4
15.3%
25%
4%
9%
951889.38399
12972.9
1162.0
0.5
0.9
1287.305
3128
6291
0
23256.0
Poland
38165445
0.39042
31944.5
33386.1
92376.7
4.9%
n/a
n/a
0.2
n/a
n/a
n/a
n/a
14900553.0369
4484.4
n/a
n/a
n/a
3404.2
0
8417
0
67595.0
Romania
21634370
0.42533
14501
14678.037
38652.9
13.0%
n/a
n/a
0.3
n/a
n/a
n/a
n/a
9201746.5921
5025.4
n/a
n/a
n/a
2891.04
0
0
0
27334.0
Russian Federation
143953092
0.26833
185000
137430
651711.6
2.9%
n/a
n/a
1.2
n/a
n/a
n/a
n/a
38626933.17636
18695.1
n/a
n/a
n/a
46720
0
690978.2
2882
848841.0
Serbia
7440768
0.43939
3170
2786
16051.0
11.4%
n/a
n/a
0.6
n/a
n/a
n/a
n/a
3269399.05152
1837.1
n/a
n/a
n/a
1856
0
1534
0
5232.0
Slovak Republic
5387001
0.45033
9302
7591.531
18830.5
4.3%
n/a
n/a
0.1
n/a
n/a
n/a
n/a
2425928.16033
808.5
n/a
n/a
n/a
178
0
1751.2
0
12916.0
Slovenia
2000474
0.50495
2732.822
2719.322
7292.6
10.6%
2213.6
1.1
0.8
21.9%
59%
6%
58%
1010139.3463
773.8
445.6
1.4
1.9
837.53
1591.162
1166
44
8245.0
Sweden
9029572
0.15318
98200
103923.081
51569.0
28.7%
39377.1
4.4
4.4
8.5%
7%
15%
53%
1383149.83896
14825.2
7926.2
0.3
1.9
6032
6923.1539657854
20632
0
92564.0
Switzerland
7437115
0.26377
5284.639
4042.528
25946.6
16.0%
3784.8
0.5
0.6
31.7%
48%
3%
18%
1961687.82355
4156.6
761.8
1.6
3.2
1218.646
1934.8
1178
0
6944.0
Turkey
72064992
0.30351
16185
18478.907
84379.1
12.0%
10800.0
0.1
0.2
n/a
n/a
3%
21%
21872445.72192
10129.9
2173.9
n/a
1.2
5318.991
0
8665
0
…
Ukraine
46924816
0.31213
14606.3
12106.371
142887.2
0.9%
n/a
n/a
0.5
n/a
n/a
n/a
n/a
14646642.81808
1328.0
n/a
n/a
n/a
7864.34
0
5307
0
21325.0
United Kingdom
60224306
0.20362
8519
8285.183
222366.3
1.8%
1562.1
0.0
0.0
3.2%
7%
0%
8%
12262873.18772
3959.9
314.4
0.2
0.7
126.025
580.1
2375
0
20700.0
United States
295895897
0.17714
467347.35
461163.501
2318861.1
4.5%
n/a
n/a
0.8
n/a
n/a
n/a
n/a
52414999.19458
105186.4
n/a
n/a
n/a
43953.429
0
ERROR:#N/A
ERROR:#N/A
761000.0
JWEE total
600255032
20%
995702.911
1011844.234
3734500.894
6.4%
232521.833182847
0.4
0.0
5.4%
8%
1%
20%
117172224.67316
237565.496
46804.1
ERROR:#N/A
ERROR:#N/A
98135.813
82531.3880188579
ERROR:#N/A
ERROR:#N/A
1729696
JWEE 16
n/a
n/a
n/a
n/a
n/a
ERROR:#VALUE!
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
JWEE 15
n/a
n/a
n/a
n/a
n/a
ERROR:#VALUE!
n/a
n/a
n/a
ERROR:#VALUE!
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
n/a
JWEE 12
250343451
0.223922239
298978.988
320845.289
1021171.964
0.0719784224
165829.393182847
0.6624075546
0.0008891497
0.1725103829
0.2261859236
0.0326875809
0.4541302774
56057466.05877
73502.347
33379.6412321095
0.9507666591
2.150651088
49843.481
72570.6880188579
76328.6
778
478039
JWEE Europe (excluding the Russian Federation)
272113926
21%
325234.561
347146.577
1143442.174
7.8%
184,711.83
0.7
0.0
17.8%
24%
3%
42%
58495850.79496
88967.924
37180.5
1.0
2.2
51577.228
82531.3880188579
84948
778
526666
External 2017 data
Population
Autor: UN Population Division 2020, World Population Prospects 2019n, File POP/1-1: Total population (both sexes combined) by region, subregion and country, annually for 1950-2100 (thousands)
Rural Population
Autor: UN Population Division 2020, World Urbanization Prospects: The 2014 Revision, File 20: Annual Rural Population at Mid-Year by Major Area, Region and Country, 1950-2050 (thousands)
Rural Population (share)
TPES in TJ
Autor: IEA 2019, Extended Energy Balances, Total primary energy supply
RES in TJ
Autor: IEA 2019, Extended Energy Balances, Memo: Renewables
conv: ktoe/TJ
TPES in ktoe
RES in ktoe
RES in TPES (share)
Net Annaul Increment in 1000 m3
SWE in 1000 m3
SWE
Albania
2,884,169
1,308,750
0.45
98,553
27,038
0.02
2,354
646
0.27
470
1471
Albania
1470.687
Armenia
2,944,789
1,123,366
0.38
133,468
13,740
0.02
3,188
328
0.10
360
1753
Armenia
1752.5575
Austria
8,819,902
2,921,577
0.33
1,401,992
406,894
0.02
33,486
9,718
0.29
25136
22898
Austria
22898.158
Azerbaijan
9,845,316
4,389,902
0.45
600,267
9,403
0.02
14,337
225
0.02
2003
Azerbaijan
2002.927
Belarus
9,450,233
2,070,335
0.22
1,068,190
63,680
0.02
25,513
1,521
0.06
29975
17825
Belarus
17825.277
Belgium
11,419,752
232,562
0.02
2,313,287
169,143
0.02
55,252
4,040
0.07
5289
8016
Belgium
8016.4445
Bosnia and Herzegovina
3,351,534
2,279,787
0.68
282,964
33,836
0.02
6,758
808
0.12
2746
Bosnia and Herzegovina
2745.705
Bulgaria
7,102,452
1,779,383
0.25
784,812
77,889
0.02
18,745
1,860
0.10
14677
5196
Bulgaria
5196.1545
Canada
36,732,091
6,516,445
0.18
12,102,468
2,095,825
0.02
289,062
50,058
0.17
442030
59932
Canada
59931.5255
Croatia
4,182,847
1,706,522
0.41
366,255
79,312
0.02
8,748
1,894
0.22
9991
2207
Commonwealth of Independent States
134189.009
Cyprus
1,179,685
394,500
0.33
92,870
6,968
0.02
2,218
166
0.08
38
195
Croatia
2207.3585
Czech Republic
10,641,032
2,929,652
0.28
1,814,081
184,019
0.02
43,329
4,395
0.10
23086
8736
Cyprus
195.2735
Denmark
5,732,277
683,907
0.12
712,055
240,430
0.02
17,007
5,743
0.34
5796
6209
Czech Republic
8736.3675
Estonia
1,319,389
414,727
0.31
238,944
44,475
0.02
5,707
1,062
0.19
11201
7441
Denmark
6209.141
Finland
5,511,372
851,924
0.15
1,393,233
469,994
0.02
33,277
11,226
0.34
91038
40453
EFTA
14145.744
France
64,842,513
13,143,055
0.20
10,344,992
1,017,284
0.02
247,086
24,297
0.10
94367
53388
Estonia
7441.008
Georgia
4,008,723
1,961,357
0.49
201,290
49,553
0.02
4,808
1,184
0.25
951
EU/EFTA
488684.821
Germany
82,658,409
19,988,713
0.24
13,031,211
1,743,285
0.02
311,245
41,638
0.13
107000
86027
Europe
542935.873
Hungary
9,729,822
2,752,277
0.28
1,115,745
123,084
0.02
26,649
2,940
0.11
11099
6579
European Union
479806.595
Iceland
334,395
19,534
0.06
229,046
201,321
0.02
5,471
4,808
0.88
15.6
124
Finland
40453.044
Ireland
4,753,281
1,744,814
0.37
571,018
55,213
0.02
13,639
1,319
0.10
5356
1589
France
53388.124
Italy
60,673,694
18,824,961
0.31
6,424,447
1,095,715
0.02
153,445
26,171
0.17
32543
40247
Georgia
951.158
Kazachstan
18,080,023
7,989,659
0.44
3,558,263
44,682
0.02
84,988
1,067
0.01
2430
Germany
86027.262
Latvia
1,951,097
655,898
0.34
184,215
80,979
0.02
4,400
1,934
0.44
25280
5319
Greece
2923.958
Liechtenstein
37,805
32,566
0.86
0.02
0
0
4
Hungary
6578.75
Lithuania
2,845,419
996,165
0.35
315,882
65,427
0.02
7,545
1,563
0.21
10750
5527
Iceland
123.656
Luxembourg
591,914
51,831
0.09
158,039
11,500
0.02
3,775
275
0.07
650
381
Ireland
1588.9895
Montenegro
627,563
220,970
0.35
42,625
11,610
0.02
1,018
277
0.27
1394
860
Israel
1887.365
Netherlands
17,021,343
1,434,489
0.08
3,106,716
171,312
0.02
74,203
4,092
0.06
2250
8463
Italy
40247.3005
North Macedonia
2,081,996
900,142
0.43
114,006
14,479
0.02
2,723
346
0.13
1624
978
Kazachstan
2429.8615
Norway
5,296,324
997,986
0.19
1,255,398
590,543
0.02
29,985
14,105
0.47
21878
8911
Kyrgyzstan
558.1
Poland
37,953,176
15,076,574
0.40
4,347,775
371,114
0.02
103,845
8,864
0.09
67595
35912
Latvia
5319.2335
Portugal
10,288,527
3,757,994
0.37
953,314
202,302
0.02
22,770
4,832
0.21
18870
10177
Liechtenstein
3.68
Republic of Moldova
4,059,687
1,857,633
0.46
161,196
32,956
0.02
3,850
787
0.20
27334
1718
Lithuania
5527.403
Romania
19,653,966
9,663,435
0.49
1,395,501
252,902
0.02
33,331
6,040
0.18
16274
Luxembourg
381.471
Russian Federation
145,530,091
36,463,707
0.25
30,654,064
785,607
0.02
732,160
18,764
0.03
852927
83806
Malta
71.3685
Serbia
8,829,623
4,122,584
0.47
653,525
78,877
0.02
15,609
1,884
0.12
5232
8104
Montenegro
859.7805
Slovak Republic
5,447,903
2,548,195
0.47
728,499
66,649
0.02
17,400
1,592
0.09
13193
5599
Netherlands
8462.975
Slovenia
2,076,395
1,050,654
0.51
289,186
45,178
0.02
6,907
1,079
0.16
9165
3236
North America
499766.71
Sweden
9,904,895
1,364,656
0.14
2,058,801
811,115
0.02
49,174
19,373
0.39
96486
50507
North Macedonia
977.912
Switzerland
8,455,797
2,177,862
0.26
991,343
209,306
0.02
23,678
4,999
0.21
6232
5107
Norway
8911.2675
Turkey
81,116,451
20,055,180
0.25
6,146,099
742,675
0.02
146,797
17,738
0.12
32939
Other C.I.S.
18044.3885
Ukraine
44,487,708
13,156,907
0.30
3,745,616
163,444
0.02
89,463
3,904
0.04
20935
14513
Other Europe
142313.659
United Kingdom
66,727,463
10,927,278
0.16
7,363,871
714,870
0.02
175,883
17,074
0.10
20700
27897
Other european countries
3798.6655
United States
325,084,758
59,579,343
0.18
90,235,182
6,801,457
0.02
2,155,230
162,450
0.08
761000
439835
Poland
35911.6175
Portugal
10176.8985
JWEE total
810,138,548
180,621,829
0.22
161,312,800
17,314,674
0.02
3,852,890
413,554
0.11
1,842,232
927,579
Republic of Moldova
1717.6935
JWEE 12
264,351,249
58,739,448
0.22
38,350,081
5,570,484
0.02
915,976
133,049
0.15
461,400
299,783
Romania
16273.9475
JWEE Europe (excluding the Russian Federation)
378,447,723
92,047,398
0.24
53,245,781
8,116,833
0.02
1,271,754
193,867
0.15
586,668
391,542
Russian Federation
83806.2765
*Using 2005 and 2010 data from external data of analysis 2013.
Serbia
8103.61
Slovak Republic
5598.955
JWEE total
Armenia, Austria, Azerbaijan, Belarus, Bosnia and Herzegovina, Canada, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Georgia, Germany, Iceland, Ireland, Italy, Liechtenstein, Lithuania, Luxembourg, Netherlands, Norway, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, North Macedonia, Ukraine, United Kingdom and the United States
Slovenia
3236.0935
JWEE 12
Austria, Cyprus, Finland, France, Germany, Ireland, Luxembourg, Serbia, Slovenia, Sweden, Switzerland and the United Kingdom
Spain
18335.2905
Europe excl. Russia
Armenia, Austria, Bosnia and Herzegovina, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Georgia, Germany, Iceland, Ireland, Italy, Liechtenstein, Lithuania, Luxembourg, Netherlands, Norway, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland and the United Kingdom
Sweden
50507.062
Switzerland
5107.187
Tajikistan
4574.12
Turkey
32938.506
Turkmenistan
527.811
Ukraine
14513.118
United Kingdom
27897.0175
United States
439835.185
Uzbekistan
3529.5325
External 2015 data
Population
Rural Population
Rural Population (share)
TPES in TJ
RES in TJ
conv: ktoe/TJ
TPES in ktoe
RES in ktoe
RES in TPES (share)
Net Annaul Increment in 1000 m3
SWE in 1000 m3
SWE
Albania
2,923,352
1,361,679
0.47
91,677
31,548
0.02
2,190
754
0.34
470
1570
394.2246
Albania
1569.9975
Armenia
2,916,950
1,115,876
0.38
128,429
15,922
0.02
3,067
380
0.12
360
1659
178.225
Austria
21583.057
Austria
8,678,657
2,912,360
0.34
1,373,011
404,102
0.02
32,794
9,652
0.29
25136
21583
20225.8455
Belarus
13144.34
Azerbaijan
9,617,484
4,362,213
0.45
601,049
10,892
0.02
14,356
260
0.02
1393
1534.3844
Belgium
7994.301
Belarus
9,485,772
2,160,568
0.23
1,057,868
57,682
0.02
25,267
1,378
0.05
29975
13144
4266.88
Bosnia and Herzegovina
2032.668
Belgium
11,287,940
239,533
0.02
2,230,270
152,096
0.02
53,269
3,633
0.07
5289
7994
14020.2259
Bulgaria
4550.594
Bosnia and Herzegovina
3,535,961
2,300,713
0.65
336,287
83,788
0.02
8,032
2,001
0.25
2033
713.451
Croatia
2202.897
Bulgaria
7,177,396
1,853,000
0.26
779,038
83,284
0.02
18,607
1,989
0.11
14677
4551
2649.8954
Cyprus
122.9575
Canada
35,949,709
6,518,663
0.18
11,312,390
2,047,439
0.02
270,192
48,902
0.18
442030
64711
100011.2908
Czech Republic
9244.149
Croatia
4,236,016
1,746,216
0.41
351,586
82,069
0.02
8,397
1,960
0.23
9991
2203
2256.9895
Denmark
6122.1085
Cyprus
1,160,985
385,265
0.33
84,335
6,132
0.02
2,014
146
0.07
38
123
238.5716
Estonia
5775.1045
Czech Republic
10,603,762
2,910,655
0.27
1,764,645
179,147
0.02
42,148
4,279
0.10
23086
9244
8469.404
Finland
39849.352
Denmark
5,688,695
697,731
0.12
673,913
199,348
0.02
16,096
4,761
0.30
5796
6122
6369.8621
France
52508.29
Estonia
1,315,321
415,593
0.32
227,086
37,906
0.02
5,424
905
0.17
11201
5775
7180.041
Georgia
887.603
Finland
5,481,966
861,607
0.16
1,360,137
439,107
0.02
32,486
10,488
0.32
91038
39849
30844.9249
Germany
73981.972
France
64,457,201
13,308,464
0.21
10,320,707
913,258
0.02
246,506
21,813
0.09
94367
52508
62179.202
Greece
2923.958
Georgia
3,951,524
1,995,548
0.51
193,908
47,883
0.02
4,631
1,144
0.25
888
545.332
Hungary
6227.9345
Germany
81,707,789
20,391,913
0.25
12,886,750
1,605,702
0.02
307,795
38,352
0.12
107000
73982
87862.4198
Iceland
144.795
Hungary
9,783,925
2,851,842
0.29
1,055,463
126,190
0.02
25,209
3,014
0.12
11099
6228
3104.3003
Ireland
1611.612
Iceland
330,243
19,741
0.06
233,748
206,418
0.02
5,583
4,930
0.88
15.6
145
205.8997
Italy
40375.438
Ireland
4,700,107
1,737,531
0.37
555,313
44,810
0.02
13,263
1,070
0.08
5356
1612
2506.7886
Latvia
3790.731
Italy
59,504,212
18,976,152
0.32
6,389,256
1,099,713
0.02
152,605
26,266
0.17
32543
40375
31519.8912
Liechtenstein
3.7
Kazachstan
17,749,648
7,840,762
0.44
3,269,587
37,261
0.02
78,093
890
0.01
2430
Lithuania
4924.026
Latvia
1,992,663
662,579
0.33
178,470
64,344
0.02
4,263
1,537
0.36
25280
3791
4670.179
Luxembourg
410.9255
Liechtenstein
37,403
32,108
0.86
0.02
0
0
4
0
Malta
55.2725
Lithuania
2,931,926
1,004,416
0.34
302,368
59,335
0.02
7,222
1,417
0.20
10750
4924
5118.2938
Montenegro
809.451
Luxembourg
566,741
53,458
0.09
155,961
8,567
0.02
3,725
205
0.05
650
411
1434.0301
Netherlands
7565.6
Montenegro
628,178
223,599
0.36
42,302
12,933
0.02
1,010
309
0.31
1394
809
2.9158
Norway
8127.829
Netherlands
16,938,499
1,600,924
0.09
3,091,163
152,624
0.02
73,831
3,645
0.05
2250
7566
10791.28
Poland
32779.851
Norway
5,199,836
1,004,221
0.19
1,239,979
561,988
0.02
29,616
13,423
0.45
21878
8128
7410.8763
Portugal
9001.1935
Poland
38,265,226
15,082,630
0.39
3,974,477
376,252
0.02
94,929
8,987
0.09
67595
32780
36571.7124
Republic of Moldova
1686.9
Portugal
10,418,473
3,876,030
0.37
919,662
207,934
0.02
21,966
4,966
0.23
18870
9001
10796.6872
Romania
16260.8305
Republic of Moldova
4,065,980
1,890,424
0.46
141,582
14,562
0.02
3,382
348
0.10
27334
1687
407.2824
Russian Federation
80401.116
Romania
19,876,621
9,804,711
0.49
1,335,843
250,058
0.02
31,906
5,973
0.19
16261
9588.9832
Serbia
7797.44
Russian Federation
143,888,004
36,934,612
0.26
29,715,039
729,103
0.02
709,732
17,414
0.02
852927
80401
61424.5828
Slovak Republic
5152.514
Serbia
8,851,280
4,188,657
0.47
617,787
80,856
0.02
14,756
1,931
0.13
5232
7797
3050.439
Slovenia
3401.013
Slovak Republic
5,439,318
2,532,566
0.47
686,318
65,969
0.02
16,392
1,576
0.10
13193
5153
5077.8751
Spain
20289.343
Slovenia
2,074,788
1,046,826
0.50
275,130
44,242
0.02
6,571
1,057
0.16
9165
3401
2011.5289
Sweden
46861.5005
Sweden
9,763,565
1,375,071
0.14
1,902,926
803,548
0.02
45,451
19,192
0.42
96486
46862
38399.3274
Switzerland
5482.7215
Switzerland
8,319,769
2,149,288
0.26
1,027,161
228,656
0.02
24,533
5,461
0.22
6232
5483
6734.0767
North Macedonia
970.973
North Macedonia
2,079,308
904,795
0.44
112,137
17,647
0.02
2,678
421
0.16
1624
971
397.1413
Turkey
32834.535
Turkey
78,271,472
20,402,156
0.26
5,393,027
656,208
0.02
128,810
15,673
0.12
32835
36412.5499
Ukraine
12380.01
Ukraine
44,657,704
13,529,815
0.30
3,771,873
113,059
0.02
90,090
2,700
0.03
20935
12380
7610.094
United Kingdom
26084.3985
United Kingdom
65,397,080
11,113,712
0.17
7,567,610
617,117
0.02
180,749
14,740
0.08
20700
26084
38857.0403
Israel
1887.365
United States
319,929,162
59,766,644
0.19
91,618,826
6,156,601
0.02
2,188,278
147,048
0.07
761000
392831
365806.422
Europe
513312.195
Armenia
1658.8465
JWEE total
798,930,371
187,529,555
0.23
161,860,359
16,679,816
0.02
3,865,968
398,391
0.10
1,930,171
874,789
Azerbaijan
1392.658
JWEE 12
261,159,928
59,524,152
0.23
38,126,828
5,196,097
0.02
910,644
124,107
0.14
461,400
279,695
Kazachstan
2429.8615
JWEE Europe (excluding the Russian Federation)
429,482,492
114,886,487
0.27
58,134,186
8,417,001
0.02
1,388,511
201,037
0.14
727,141
414,967
Kyrgyzstan
508.6585
*Using 2005 and 2010 data from external data of analysis 2013.
Tajikistan
990.099
Turkmenistan
527.811
Uzbekistan
3638.3545
Canada
64710.7665
JWEE total
Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Canada, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Georgia, Germany, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, the United Kingdoma and the United States
United States
392830.7515
JWEE 12
Austria, Cyprus, Finland, France, Germany, Ireland, Luxembourg, Serbia, Slovenia, Sweden, Switzerland and the United Kingdom.
North America
457541.5285
Europe excl. Russia
Armenia, Austria, Bosnia and Herzegovina, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Germany, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Serbia, Slovak Republic, Slovenia, Sweden, Switzland and the United Kingdom
Commonwealth of Independent States
119646.9525
European Union
451650.7445
Other C.I.S.
13721.5015
Other european countries
3062.619
EFTA
13759.056
Other Europe
133783.332
EU/EFTA
460803.8835
CountryComments
Country
Abbreviated country profile for publication
Albania2011
TPES and RES figures are based on IEA 2010 data.
Armenia2011
TPES and RES figures are based on IEA 2010 data.
Austria2011
Bosnia and Herzegovina2011
TPES and RES figures are based on IEA 2010 data.
Belarus2011
Canada2011
Figures are Secretariat estimates.
Cyprus2011
TPES and RES figures are based on IEA 2010 data.
Czech Republic2011
Denmark2011
Estonia2011
Finland2011
France2011
Germany2011
Iceland2011
Ireland2011
Italy2011
Figures are Secretariat estimates.
Latvia2011
Luxembourg2011
Liechtenstein2011
Netherlands2011
Norway2011
Poland2011
Romania2011
1. Figures are Secretariat estimates.
2. TPES and RES figures are based on IEA 2010 data.
Serbia2011
Slovenia2011
Sweden2011
Switzerland2011
Turkey2011
Ukraine2011
TPES and RES figures are based on IEA 2010 data.
United Kingdom2011
United States2011
JWEE total 2011
1. The category "JWEE total 2011" refers to the set of responding countries providing sufficiently detailed data for 2011. This includes Albania, Armenia, Austria, Bosnia and Herzegovina, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Iceland, Ireland,Luxembourg, Netherlands, Norway, Poland, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, Ukraine, the United Kingdom and the United States.
2. The data for Canada, Italy and Romania is based on IEA 2010 estimates.
JWEE total 2009
1. The category "JWEE total 2009" refers to the set of responding countries providing sufficiently detailed data for 2009. This includes Austria, Belgium, Cyprus, Czech Republic, Estonia, Finland, France, Germany, Ireland, Italy, Liechtenstein, Lithuania, Luxembourg, Norway, the Russian Federation, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, the United Kingdom and the United States.
JWEE total 2007
1. The category "JWEE total 2007" refers to the set of responding countries providing sufficiently detailed data for 2007. This includes Austria, Canada, Cyprus, Finland, France, Germany, Ireland, Latvia, Liechtenstein, Lithuania, Luxembourg,Netherlands, the Russian Federation, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, the United Kingdom and the United States.
JWEE total 2005
1. The category "JWEE total 2005" refers to the set of responding countries providing sufficiently detailed data for 2005. This includes Austria, Canada, Czech Republic, Finland, France, Germany, Lithuania, Netherlands, Norway, Slovenia, Sweden, Switzerland, the United Kingdom and the United States.
JWEE 13
1. The category "JWEE 13" refers to the set of responding countries providing sufficiently detailed data for 2007, 2009 and 2011. This includes Austria, Cyprus, Finland, France, Germany, Ireland, Luxembourg, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland and the United Kingdom.
JWEE Europe (excluding the Russian Federation) 2011
1. The category "JWEE Europe (excluding the Russian Federation) 2011" refers to the set of responding countries from the European Region providing sufficiently detailed data for 2011. This includes Albania, Armenia, Austria, Bosnia and Herzegovina, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Iceland, Ireland,Luxembourg, Netherlands, Norway, Poland, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, Ukraine, and the United Kingdom.
2. The data for Italy and Romania is based on IEA 2010 estimates.
JWEE Europe (excluding the Russian Federation) 2009
1. The category "JWEE Europe (excluding the Russian Federation) 2009" refers to the set of responding countries from the European Region providing sufficiently detailed data for 2009. This includes Austria, Belgium, Cyprus, Czech Republic, Estonia, Finland, France, Germany, Ireland, Italy, Liechtenstein, Lithuania, Luxembourg, Norway, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, and the United Kingdom.
JWEE Europe (excluding the Russian Federation) 2007
1. The category "JWEE total 2007" refers to the set of responding countries providing sufficiently detailed data for 2007. This includes Austria, Canada, Cyprus, Finland, France, Germany, Ireland, Latvia, Liechtenstein, Lithuania, Luxembourg,Netherlands, the Russian Federation, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, the United Kingdom and the United States.
Armenia2013
Austria2013
Azerbaijan2013
Bosnia and Herzegovina2013
Canada2013
Croatia2013
Cyprus2013
Czech Republic2013
Denmark2013
Estonia2013
Finland2013
France2013
Germany2013
Hungary2013
Iceland2013
Ireland2013
Luxembourg2013
Netherlands2013
Norway2013
Republic of Moldova2013
Serbia2013
Slovenia2013
Sweden2013
Switzerland2013
North Macedonia2013
United Kingdom2013
United States2013
JWEE total 2013
1. The category "JWEE total 2013" refers to the set of responding countries providing sufficiently detailed data for 2013. This includes Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Canada, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Luxembourg, Netherlands, North Macedonia, Norway, Republic of Moldova, Serbia, Slovenia, Sweden, Switzerland, United Kingdom and the United States.
2. The data for Hungary is based on estimates made by the secretariat.
JWEE 122013
1. The category "JWEE 12" refers to the set of responding countries providing sufficiently detailed data for 2007, 2009, 2011 and 2013. This includes Austria, Cyprus, Finland, France, Germany, Ireland, Luxembourg, Serbia, Slovenia, Sweden, Switzerland and the United Kingdom.
JWEE Europe (excluding the Russian Federation) 2013
1. The category "JWEE Europe (excluding the Russian Federation) 2013" refers to the set of responding countries from the European Region providing sufficiently detailed data for 2013. This includes Armenia, Austria, Bosnia and Herzegovina, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Luxembourg, Netherlands, North Macedonia, Norway, Republic of Moldova, Serbia, Slovenia, Sweden, Switzerland and the United Kingdom.
2. The data for Hungary is based on estimates made by the secretariat.
Ireland 2015
1. Consumption data derives from 2013 data submission.
JWEE total 2015
1. The category "JWEE total 2015" refers to the set of responding countries providing sufficiently detailed data for 2015. This includes Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Canada, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Georgia, Germany, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, the United Kingdom and the United States.
2. Consumption data for Ireland is based on 2013 data.
JWEE 12 2015
1. The category "JWEE 12" refers to the set of responding countries providing sufficiently detailed data for 2007, 2009, 2011, 2013 and 2015. This includes Austria, Cyprus, Finland, France, Germany, Ireland, Luxembourg, Serbia, Slovenia, Sweden, Switzerland and the United Kingdom.
2. Consumption data for Ireland is based on 2013 data.
JWEE Europe (excluding the Russian Federation) 2015
1. The category "JWEE Europe (excluding the Russian Federation) 2015" refers to the set of responding countries from the European Region providing sufficiently detailed data for 2015. This includes Armenia, Austria, Bosnia and Herzegovina, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Germany, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Serbia, Slovak Republic, Slovenia, Sweden, Switzland and the United Kingdom.
2. Consumption data for Ireland is based on 2013 data.
JWEE total 2017
1. The category "JWEE total 2017" refers to the set of responding countries providing sufficiently detailed data for 2017. This includes Armenia, Austria, Azerbaijan, Belarus, Bosnia and Herzegovina, Canada, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Georgia, Germany, Iceland, Ireland, Italy, Liechtenstein, Lithuania, Luxembourg, Netherlands, North Macedonia, Norway, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland, Ukraine, United Kingdom and the United States.
JWEE 12 2017
1. The category "JWEE 12" refers to the set of responding countries providing sufficiently detailed data for 2007, 2009, 2011, 2015 and 2017. This includes Austria, Cyprus, Finland, France, Germany, Ireland, Luxembourg, Serbia, Slovenia, Sweden, Switzerland and the United Kingdom.
JWEE Europe (excluding the Russian Federation) 2017
1. The category "JWEE Europe (excluding the Russian Federation) 2017" refers to the set of responding countries from the European Region providing sufficiently detailed data for 2017. This includes Armenia, Austria, Bosnia and Herzegovina, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Germany, Iceland, Ireland, Italy, Liechtenstein, Lithuania, Luxembourg, Netherlands, Norway, Serbia, Slovak Republic, Slovenia, Sweden, Switzerland and the United Kingdom.
