• Regulation (EU) 2018/1999 on Energy Union Governance and Climate Action
• Directive (EU) 2018 / 2002 amending Directive 2012/27 / EU on energy efficiency
• Directive (EU) 2018/2001 on the promotion of the use of energy from renewable sources
• UNFCCC and Paris Agreement on Climate Change (2015)
•Established contribution of Bosnia and Herzegovina (NDC ) for the period 2020-2030.
• Sofia Declaration on the Green Agenda for the Western Balkans (2020)
• Alignment of the Western Balkan countries with the EU Green Plan
Strategic Documents in BiH
Framework Energy Strategy of BiH until 2035
Third Biennial Report of Bosnia and Herzegovina on Greenhouse Gas Emissions (TBUR)
The energy sector continues to make the largest contribution to CO2 emissions (80%)
The most important sources of CO2 in BiH are:
• burning of fossil fuels (electricity production, industry, transport, heating, etc.)
• industrial activities (steel, cement production)
• changes in land use and forestry activities
Nationally Determined Contribution of Bosnia and Herzegovina (NDC)
Roadmap Just Transition in Coal Regions of Bosnia and Herzegovina
For Just Transition in coal regions of Bosnia and Herzegovina, a contemporary and dynamic vision of
coal regions needs to be built; one that is thriving and forward-looking, underpinned with good jobs
in economic sectors that are empirically shown to be promising.
BiH together with the World Bank, has developed a Draft Roadmap Just Transition in Coal Regions of
Bosnia and Herzegovina.
Roadmap recognized and focused on 3 pillars:
1. Governing Systems
2. People and Communities
3. Repurposing Land and Assets
Support in Just Transition process is also provided by the Platform for the Transition of Coal-Rich
Regions - the Secretariat from Brussels and the Secretariat of the Energy Community from Vienna.
The Roadmap will help political and governance structures to make fair decisions related to coal
transition and the energy sector.
Government Systems
- Planning and executing a well-managed transition in Bosnia and Herzegovina, as in any other coal-
dependent region, will be a multi-year and multi-level process.
- Considering the governmental structures in Bosnia and Herzegovina—(one country, two entities, the
Federation of Bosnia and Herzegovina (FBiH) and Republika Srpska (RS), and the Brčko District of Bosnia and
Herzegovina (BDBiH) as a unit of local self-government under the sovereignty of Bosnia and Herzegovina)—
decision-making regarding the planning and implementation of Just Transition will be carried out in
accordance with the competences prescribed by the constitutions and laws in the country.
- The proposal is a hybrid management model.
-Including the views of affected workers and communities, trade unions, industry, municipal, cantonal (in
the Federation of Bosnia and Herzegovina), entity and state authorities, the private sector and financial
institutions, donors, academia and non-governmental organizations, which also include particularly
vulnerable groups among the affected population and all interested parties will help the government in
making decisions for a just transition.
Coal sector in Bosnia and Herzegovina
-The coal sector is an important segment in the energy sector and economic structure of Bosnia and
Herzegovina
-About 14 major mines are currently active in Bosnia and Herzegovina.
- 10 units are operating in five power plants, with a total installed capacity of 2,073 MW and available
capacity of 1,876 MW.
- 16.2 thousand workers were employed in coal mines and thermal power plants: 11.5 thousand in
Federation of Bosnia and Herzegovina and 4.7 thousand in Republika Srpska
- 2.4 thousand workers are employed upstream in the coal value chain in firms dependent on mines
and TPPs
- 18,600 workers are at risk of losing their jobs in case of closure of mines and thermal power plants
(not counting workers of companies that provide goods and services to workers in the coal sector)
and their families, i.e. local firms in and around coal-rich regions
- Social impacts from coal mine closures and retirement of coal power plants could be substantial.
- The economic consequences will reach even further as workers throughout the coal value chain will
be impacted, as will the local economies for which coal activity has been an economic stimulus.
- Most coal sector jobs are in the public sector, pay high wages, and provide good non-wage benefits.
- Most coal sector workers – and especially for lower-skilled coal workers – would likely to struggle to
find comparable compensation working in other sectors.
Basic measures for labor force transition
- In light of the anticipated strain on local economies and the surrounding communities, advanced planning
is needed on the government’s part to understand the profiles of workers likely to need transition support,
and to line up the necessary fiscal resources, programs and system capacity to be ready to implement this
support.
Before planning mine closure, it is necessary to do:
1. Identifying the skill profiles and preferences of workers in mines and power plants (including those
designated as having task-related disabilities), the coal sector value chain (suppliers) and in local
communities
2. Forecasting the number and types of jobs and skill profiles needed for mining land remediation and
repurposing.
3. Mapping out potential job transition pathways for the skill profiles identified in activity (1) including
whether they can be absorbed into the new remediation/repurposing jobs identified in activity (2).
4. Assessing cantonal- and entity-level social assistance and social services/support programs and
legislated severance programs that could be leveraged to support affected vulnerable households.
Repurposing Land and Assets
- Bosnia and Herzegovina has abundant natural resources, including land.
- Conservative estimates indicate that at least 42 km2 of lands are currently occupied by coal mining
activities.
- Empirical evidence collected during the World Bank ground verification at three pilot sites (Banovici,
Gacko, Zenica) suggests five to 10 times this amount.
- As such, between 200-400 km2 of post-mining lands could likely be made available for reclamation
and future redevelopment / repurposing.
- A primary objective would be to create an enabling environment for investment in post-mining
lands, particularly investments that support Bosnia and Herzegovina’s efforts towards a clean energy
transition.
- It is important to note at the outset that a comprehensive land repurposing program for mining
lands will need to closely align, interact, and integrate with spatial planning processes having a much
wider scope than post-mining lands alone.
Distribution of mines and associated active mining lands within Bosnia and Herzegovina
Determination of Bosnia and Herzegovina
- Undoubtedly, there is a determination to implement the decarbonization of the energy sector and reach the
criteria of carbon neutrality by 2050.
- The basic approach to the decarbonization process is carried out by gradually eliminating the production and
consumption of energy from fossil fuels and by switching to the use of renewable energy sources.
- Although the existing planning documents for the development of the energy sector in Bosnia and
Herzegovina envisage the construction of significant capacities of new thermoblocks, Bosnia and
Herzegovina's determination is that in the period until 2030, there will be no construction of new coal-fired
blocks. In accordance with that, a major reconstruction of two blocks will be carried out, as well as a change in
their mode of operation to burn coal and wood biomass, while the third block will be completely switched to
biomass operation. These facts achieve a significant reduction in greenhouse gas emissions.
-We express our commitment to the implementation of a "just transition", which should simultaneously
continue with the gradual reduction of the use of coal for the production of electricity.
- It is determined that the reduction of final energy consumption is carried out with a high degree of
ambition. To achieve this level of ambition, significant financial support is needed from international
sources, combined with domestic sources of funding with a special focus on the planned closure of coal
mines and the suspension of coal-fired power plants.
Thank you for your attention!
Ministry of Foreign Trade and Economic Relations of
Source: Fonseca "Measurement of Roundwood" 2005, ITTO Annual Review 2007, table 3-2-a
Species weight averaged using m3/tonne from Fonseca 2005 and volume exported by species from each region as shown in ITTO 2007 (assumes that bark is removed)
1.37
1.2.1
SAWLOGS AND VENEER LOGS
1000 m3 ub
1.04
0.96
1.12
Averaged C & NC
1.05
Based on 950 kg/m3 green. Bark is included in weight but not in volume.
1.2.1.C
Coniferous
1000 m3 ub
1.10
1.00
1.19
1.07
Based on 935 kg/m3 green. Bark is included in weight but not in volume.
1.43
1.2.1.NC
Non-Coniferous
1000 m3 ub
0.97
0.92
1.04
0.91
Based on 1093 kg/m3 green. Bark is included in weight but not in volume.
1.25
1.2.NC.Beech
Beech
1000 m3 ub
0.92
Austrian Energy Agency, 2009
1.2.NC.Birch
Birch
1000 m3 ub
0.88
Austrian Energy Agency, 2009
1.2.NC.Eucalyptus
Eucalyptus
1000 m3 ub
0.77
ATIBT, 1982
1.2.NC.Oak
Oak
1000 m3 ub
0.88
Austrian Energy Agency, 2009
1.2.NC.Poplar
Poplar
1000 m3 ub
1.06
Austrian Energy Agency, 2009
1.2.2
PULPWOOD (ROUND & SPLIT)
1000 m3 ub
1.05
1.14
1.30
Averaged C & NC
1.08
Based on 930 kg/m3 green. Bark is included in weight but not in volume.
1.48
1.2.2.C
Coniferous
1000 m3 ub
1.11
1.16
1.35
1.12
Based on 891 kg/m3 green. Bark is included in weight but not in volume.
1.54
1.2.2.NC
Non-Coniferous
1000 m3 ub
0.98
1.11
1.25
0.91
Based on 1095 kg/m3 green. Bark is included in weight but not in volume.
1.33
1.2.3
OTHER INDUSTRIAL ROUNDWOOD
1000 m3 ub
1.07
1.33
1.2.3.C
Coniferous
1000 m3 ub
1.11
1.16
1.35
used pulpwood data
1.12
same as 1.2.2.C
1.43
1.2.3.NC
Non-Coniferous
1000 m3 ub
0.98
1.11
1.25
0.91
same as 1.2.2.NC
1.25
2
WOOD CHARCOAL
1000 MT
6 m3rw/tonne
5.35
Does not include the use of any of the wood fiber to generate the heat to make (add about 30% if inputted wood fiber used to provide heat)
6.00
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
1.205
1.07
1.21
1.08
m3 /MT = green swe per odmt / avg delivered tonne/odmt, rwe= +1%
softwood=1.19
1.205
Based on swe/odmt of 2.41 and avg delivered mt / odmt of 2.0 in solid m3
1.60
1000 m3
hardwood = 1.05
1.123
Based on swe/odmt of 2.01 and avg delivered mt / odmt of 1.79 in solid m3
1000 m3
Woodchip, Green swe to oven-dry tonne m3/odmt
mix = 1.15
3.2
WOOD RESIDUES
1000 m3
1.205
1.07
1.21
1.08
Based on wood chips
Green=1.15
Based on wood chips
1.50
1000 m3
2.12
2.07
Seasoned = 2.12
2.07
Assumption for seasoned is based on average basic density of .42 from questionnaire and assumes 15% moisture content
3.2.1
of which: SAWDUST
1000 m3
1.205
1.07
1.21
1.08
Based on wood chips
4
RECOVERED POST-CONSUMER WOOD
1000 mt
Delivered MT (12-20% atmospheric moisture). Convert to dry weight for energy purposes (multiply by 0.88 - 0.80)
This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data!
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E X P O R T
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Related Notes
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I M P O R T
E X P O R T
code
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quantity
2021
2022
2021
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2021
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2021
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Value
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Value
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Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
146
29,165
258
90,319
772
116,100
511
143304
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
0
0
0
0
0
0
0
0
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
3,599
3,632
1
ROUNDWOOD (WOOD IN THE ROUGH)
NAC/m3
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
2
105
2
127
699
94,370
466
115031
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
0
0
0
0
0
0
0
0
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
790
855
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
NAC/m3
1.1.C
Coniferous
1000 m3ub
1
47
2
64
10
3,031
9
3384
1.1.C
Coniferous
1000 m3ub
1.1.C
Coniferous
1000 m3ub
1
-4
1.1.C
Coniferous
NAC/m3
1.1.NC
Non-Coniferous
1000 m3ub
0
58
0
63
689
91,338
456
111647
1.1.NC
Non-Coniferous
1000 m3ub
1.1.NC
Non-Coniferous
1000 m3ub
790
859
1.1.NC
Non-Coniferous
NAC/m3
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
145
29,060
256
90,192
73
21,730
46
28273
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
0
0
0
0
0
0
0
0
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
2,809
2,777
1.2
INDUSTRIAL ROUNDWOOD
NAC/m3
1.2.C
Coniferous
1000 m3ub
107
18,636
230
78,125
33
5,766
13
5703
1.2.C
Coniferous
1000 m3ub
1.2.C
Coniferous
1000 m3ub
2,083
2,099
1.2.C
Coniferous
NAC/m3
1.2.NC
Non-Coniferous
1000 m3ub
38
10,424
26
12,068
39
15,964
32
22570
1.2.NC
Non-Coniferous
1000 m3ub
1.2.NC
Non-Coniferous
1000 m3ub
726
679
1.2.NC
Non-Coniferous
NAC/mt
1.2.NC.T
of which: Tropical1
1000 m3ub
0
2
-
-
0
0
0
0
1.2.NC.T
of which: Tropical1
1000 m3ub
1.2.NC.T
of which: Tropical1
1000 m3ub
0
0
1.2.NC.T
of which: Tropical
1000 m3
2
WOOD CHARCOAL
1000 t
1
1,343
1
1,851
20
17,737
51
25328
2
WOOD CHARCOAL
1000 t
2
WOOD CHARCOAL
1000 t
13
-33
2
WOOD CHARCOAL
1000 m3
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
23
1,486
20
2,034
33
2,693
13
3549
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
0
0
0
0
0
0
0
0
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
240
104
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
18
1,218
17
1,757
33
2,627
12
3535
3.1
WOOD CHIPS AND PARTICLES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
145
29
3.1
WOOD CHIPS AND PARTICLES
1000 mt
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
5
268
3
277
0
66
0
15
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
95
75
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 mt
3.2.1
of which: Sawdust
1000 m3
3
277
0
15
3.2.1
of which: Sawdust
1000 m3
3.2.1
of which: Sawdust
1000 m3
0
3
4
RECOVERED POST-CONSUMER WOOD
1000 t
1
129
6
1,076
2
204
2
222
4
RECOVERED POST-CONSUMER WOOD
1000 t
4
RECOVERED POST-CONSUMER WOOD
1000 t
3
7
4
RECOVERED POST-CONSUMER WOOD
1000 mt
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
4
1,117
2
790
136
35,835
115
51989
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
0
0
0
0
0
0
0
0
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
93
109
5
WOOD PELLETS AND OTHER AGGLOMERATES
NAC/m3
5.1
WOOD PELLETS
1000 t
3
806
1
538
76
22,092
66
27560
5.1
WOOD PELLETS
1000 t
5.1
WOOD PELLETS
1000 t
62
86
5.1
WOOD PELLETS
NAC/m3
5.2
OTHER AGGLOMERATES
1000 t
2
311
1
252
60
13,743
49
24429
5.2
OTHER AGGLOMERATES
1000 t
5.2
OTHER AGGLOMERATES
1000 t
31
24
5.2
OTHER AGGLOMERATES
NAC/m3
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
161
81,206
114
98,695
988
469,533
601
536730
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
0
0
0
0
0
0
0
0
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
824
588
6
SAWNWOOD (INCLUDING SLEEPERS)
NAC/m3
6.C
Coniferous
1000 m3
7
5,757
7
7,980
718
239,295
411
255667
6.C
Coniferous
1000 m3
6.C
Coniferous
1000 m3
32
-304
6.C
Coniferous
NAC/m3
6.NC
Non-Coniferous
1000 m3
154
75,449
107
90,715
270
230,238
189
281063
6.NC
Non-Coniferous
1000 m3
6.NC
Non-Coniferous
1000 m3
791
892
6.NC
Non-Coniferous
NAC/m3
6.NC.T
of which: Tropical1
1000 m3
1
2,272
11
7,235
0
141
9
9749
6.NC.T
of which: Tropical1
1000 m3
6.NC.T
of which: Tropical1
1000 m3
2
3
6.NC.T
of which: Tropical
NAC/m3
7
VENEER SHEETS
1000 m3
12
18,004
8
18,781
7
26,556
6
29959
7
VENEER SHEETS
1000 m3
0
0
0
0
0
0
0
0
7
VENEER SHEETS
1000 m3
25
135
7
VENEER SHEETS
NAC/m3
7.C
Coniferous
1000 m3
0
779
1
1,670
0
162
0
371
7.C
Coniferous
1000 m3
7.C
Coniferous
1000 m3
6
5
7.C
Coniferous
NAC/m3
7.NC
Non-Coniferous
1000 m3
11
17,224
7
17,112
7
26,394
5
29588
7.NC
Non-Coniferous
1000 m3
7.NC
Non-Coniferous
1000 m3
18
130
7.NC
Non-Coniferous
NAC/m3
7.NC.T
of which: Tropical
1000 m3
0
57
0
139
0
95
0
71
7.NC.T
of which: Tropical
1000 m3
7.NC.T
of which: Tropical
1000 m3
0
-0
7.NC.T
of which: Tropical
NAC/m3
8
WOOD-BASED PANELS
1000 m3
334
194,990
309
226,593
23
36,416
23
46369
8
WOOD-BASED PANELS
1000 m3
0
0
0
0
0
0
0
0
8
WOOD-BASED PANELS
1000 m3
359
333
8
WOOD-BASED PANELS
NAC/m3
8.1
PLYWOOD
1000 m3
18
21,996
15
26,962
20
32,917
21
42883
8.1
PLYWOOD
1000 m3
0
0
0
0
0
0
0
0
8.1
PLYWOOD
1000 m3
28
-5
8.1
PLYWOOD
NAC/m3
8.1.C
Coniferous
1000 m3
2
2,262
2
3,540
0
483
12
21919
8.1.C
Coniferous
1000 m3
8.1.C
Coniferous
1000 m3
18
-9
8.1.C
Coniferous
NAC/m3
8.1.NC
Non-Coniferous
1000 m3
16
19,734
13
23,421
20
32,434
9
20964
8.1.NC
Non-Coniferous
1000 m3
8.1.NC
Non-Coniferous
1000 m3
10
4
8.1.NC
Non-Coniferous
NAC/m3
8.1.NC.T
of which: Tropical
1000 m3
0
295
0
724
0
92
0
395
8.1.NC.T
of which: Tropical
1000 m3
8.1.NC.T
of which: Tropical
1000 m3
1
0
8.1.NC.T
of which: Tropical
NAC/m3
8.1.1
of which: Laminated Veneer Lumber (LVL)
1000 m3
0
0
0
21
0
0
0
0
8.1.1
of which: Laminated Veneer Lumber (LVL)
1000 m3
0
0
0
0
0
0
0
0
8.1.1
of which: Laminated Veneer Lumber (LVL)
1000 m3
0
0
8.1.1.C
Coniferous
1000 m3
0
0
0
4
0
0
0
0
8.1.1.C
Coniferous
1000 m3
8.1.1.C
Coniferous
1000 m3
0
0
8.1.1.NC
Non-Coniferous
1000 m3
0
0
0
18
0
0
0
0
8.1.1.NC
Non-Coniferous
1000 m3
8.1.1.NC
Non-Coniferous
1000 m3
0
0
8.1.1.NC.T
of which: Tropical
1000 m3
0
0
0
18
0
0
0
0
8.1.1.NC.T
of which: Tropical
1000 m3
8.1.1.NC.T
of which: Tropical
1000 m3
0
0
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
199
102,783
179
122,385
2
2,232
1
1929
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
210
191
8.2
PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD
NAC/m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
11
8,212
11
8,155
0
280
0
68
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
14
11
8.2.1
of which: ORIENTED STRANDBOARD (OSB)
NAC/m3
8.3
FIBREBOARD
1000 m3
117
70,212
115
77,247
1
1,268
1
1556
8.3
FIBREBOARD
1000 m3
0
0
0
0
0
0
0
0
8.3
FIBREBOARD
1000 m3
121
147
8.3
FIBREBOARD
NAC/m3
8.3.1
HARDBOARD
1000 m3
12
13,444
14
18,751
0
693
1
1226
8.3.1
HARDBOARD
1000 m3
8.3.1
HARDBOARD
1000 m3
13
13
8.3.1
HARDBOARD
NAC/mt
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
99
55,265
28
29,702
1
485
0
201
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
103
61
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
NAC/mt
8.3.3
OTHER FIBREBOARD
1000 m3
6
1,503
73
28,794
0
89
0
130
8.3.3
OTHER FIBREBOARD
1000 m3
8.3.3
OTHER FIBREBOARD
1000 m3
6
73
8.3.3
OTHER FIBREBOARD
NAC/mt
9
WOOD PULP
1000 t
39
42,395
47
71,915
0
0
0
17
9
WOOD PULP
1000 t
0
0
0
0
0
0
0
0
9
WOOD PULP
1000 t
119
130
9
WOOD PULP
NAC/mt
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
0
65
0
272
0
0
0
0
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
0
0
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
NAC/mt
9.2
CHEMICAL WOOD PULP
1000 t
38
42,325
46
71,639
0
0
0
17
9.2
CHEMICAL WOOD PULP
1000 t
0
0
0
0
0
0
0
0
9.2
CHEMICAL WOOD PULP
1000 t
118
130
9.2
CHEMICAL WOOD PULP
NAC/mt
9.2.1
SULPHATE PULP
1000 t
38
42,283
46
71,372
0
0
0
17
9.2.1
SULPHATE PULP
1000 t
9.2.1
SULPHATE PULP
1000 t
118
130
9.2.1
SULPHATE PULP
NAC/mt
9.2.1.1
of which: BLEACHED
1000 t
38
42,283
42
65,703
0
0
0
17
9.2.1.1
of which: BLEACHED
1000 t
9.2.1.1
of which: BLEACHED
1000 t
38
126
9.2.1.1
of which: BLEACHED
NAC/mt
9.2.2
SULPHITE PULP
1000 t
0
42
0
267
0
0
0
0
9.2.2
SULPHITE PULP
1000 t
9.2.2
SULPHITE PULP
1000 t
0
0
9.2.2
SULPHITE PULP
NAC/mt
9.3
DISSOLVING GRADES
1000 t
0
5
0
4
0
0
0
0
9.3
DISSOLVING GRADES
1000 t
9.3
DISSOLVING GRADES
1000 t
0
0
9.3
DISSOLVING GRADES
NAC/mt
10
OTHER PULP
1000 t
0
701
0
938
0
7
0
41
10
OTHER PULP
1000 t
0
0
0
0
0
0
0
0
10
OTHER PULP
1000 t
0
0
10
OTHER PULP
NAC/mt
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
0
197
0
119
0
0
0
0
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
0
0
10.1
PULP FROM FIBRES OTHER THAN WOOD
NAC/mt
10.2
RECOVERED FIBRE PULP
1000 t
0
505
0
819
0
7
0
41
10.2
RECOVERED FIBRE PULP
1000 t
10.2
RECOVERED FIBRE PULP
1000 t
0
0
10.2
RECOVERED FIBRE PULP
NAC/mt
11
RECOVERED PAPER
1000 t
11
3,762
8
3,348
38
13,314
45
18778
11
RECOVERED PAPER
1000 t
11
RECOVERED PAPER
1000 t
23
-37
11
RECOVERED PAPER
NAC/mt
12
PAPER AND PAPERBOARD
1000 t
114
198,290
108
238,335
134
219,390
111
272448
12
PAPER AND PAPERBOARD
1000 t
0
0
0
0
0
0
0
0
12
PAPER AND PAPERBOARD
1000 t
116
112
12
PAPER AND PAPERBOARD
NAC/mt
12.1
GRAPHIC PAPERS
1000 t
40
62,610
37
53,157
2
2,920
1
3255
12.1
GRAPHIC PAPERS
1000 t
0
0
0
0
0
0
0
0
12.1
GRAPHIC PAPERS
1000 t
40
37
12.1
GRAPHIC PAPERS
NAC/mt
12.1.1
NEWSPRINT
1000 t
3
2,771
3
4,319
0
79
0
264
12.1.1
NEWSPRINT
1000 t
12.1.1
NEWSPRINT
1000 t
3
3
12.1.1
NEWSPRINT
NAC/mt
12.1.2
UNCOATED MECHANICAL
1000 t
2
2,138
2
3,164
0
169
0
83
12.1.2
UNCOATED MECHANICAL
1000 t
12.1.2
UNCOATED MECHANICAL
1000 t
2
2
12.1.2
UNCOATED MECHANICAL
NAC/mt
12.1.3
UNCOATED WOODFREE
1000 t
21
33,217
18
45,640
1
2,053
1
1897
12.1.3
UNCOATED WOODFREE
1000 t
12.1.3
UNCOATED WOODFREE
1000 t
22
19
12.1.3
UNCOATED WOODFREE
NAC/mt
12.1.4
COATED PAPERS
1000 t
14
24,485
14
34
0
620
0
1010
12.1.4
COATED PAPERS
1000 t
12.1.4
COATED PAPERS
1000 t
14
13
12.1.4
COATED PAPERS
NAC/mt
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
20
33,668
16
49,925
25
47,670
17
50243
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
25
19
12.2
HOUSEHOLD AND SANITARY PAPERS
NAC/mt
12.3
PACKAGING MATERIALS
1000 t
52
86,370
53
116,684
106
162,535
92
212932
12.3
PACKAGING MATERIALS
1000 t
0
0
0
0
0
0
0
0
12.3
PACKAGING MATERIALS
1000 t
48
50
12.3
PACKAGING MATERIALS
NAC/mt
12.3.1
CASE MATERIALS
1000 t
11
10,546
11
14,853
18
18,309
10
12
12.3.1
CASE MATERIALS
1000 t
12.3.1
CASE MATERIALS
1000 t
6
17
12.3.1
CASE MATERIALS
NAC/mt
12.3.2
CARTONBOARD
1000 t
15
35,470
14
43,004
1
1,995
1
2344
12.3.2
CARTONBOARD
1000 t
12.3.2
CARTONBOARD
1000 t
16
13
12.3.2
CARTONBOARD
NAC/mt
12.3.3
WRAPPING PAPERS
1000 t
24
38,046
25
53,671
87
142,182
81
210387
12.3.3
WRAPPING PAPERS
1000 t
12.3.3
WRAPPING PAPERS
1000 t
22
17
12.3.3
WRAPPING PAPERS
NAC/mt
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
2
2,308
3
5,156
0
47
0
190
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
3
3
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
NAC/mt
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 t
2
15,641
2
18,569
1
6,266
1
6018
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 t
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 t
4
5
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
NAC/mt
15
GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)2
1000 m3
0
0
1
1,328
0
0
9
18220
15
GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1
1000 m3
0
0
0
0
0
0
0
0
15
GLULAM AND CROSS-LAMINATED TIMBER (CLT or X-LAM)1
1000 m3
0
-9
15.1
GLULAM
1000 m3
0
0
1
1,326
0
0
9
18220
15.1
GLULAM
1000 m3
15.1
GLULAM
1000 m3
0
-9
15.2
CROSS-LAMINATED TIMBER (CLT or X-LAM)
1000 m3
0
0
0
2
0
0
0
0
15.2
CROSS-LAMINATED TIMBER (CLT or X-LAM)
1000 m3
15.2
CROSS-LAMINATED TIMBER (CLT or X-LAM)
1000 m3
0
0
16
I BEAMS (I-JOISTS)2
1000 t
0
0
-
-
0
0
0
152
16
I BEAMS (I-JOISTS)1
1000 t
16
I BEAMS (I-JOISTS)1
1000 t
0
-0
1 Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
2 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included here
This table highlights discrepancies between items and sub-items. Please verify your data if there's an error!
Specify Currency and Unit of Value (e.g.:1000 US $):
BAM
Discrepancies
Flag
Flag
Flag
Flag
Note
Note
Note
Note
Product
Product
I M P O R T V A L U E
E X P O R T V A L U E
Import
Export
Import
Export
Product
Product
I M P O R T V A L U E
E X P O R T V A L U E
code
2021
2022
2021
2022
2021
2022
2021
2022
2021
2022
2021
2022
Code
2021
2022
2021
2022
13
SECONDARY WOOD PRODUCTS
13
SECONDARY WOOD PRODUCTS
13.1
FURTHER PROCESSED SAWNWOOD
3899
5025
38444
45259
13.1
FURTHER PROCESSED SAWNWOOD
0
0
0
0
13.1.C
Coniferous
1657
1850
1164
1616
13.1.C
Coniferous
13.1.NC
Non-coniferous
2242
3175
37281
43643
13.1.NC
Non-coniferous
13.1.NC.T
of which: Tropical
63
181
152
13
13.1.NC.T
of which: Tropical
13.2
WOODEN WRAPPING AND PACKAGING MATERIAL
10823
17726
30152
41786
13.2
WOODEN WRAPPING AND PACKAGING MATERIAL
13.3
WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
3872
3533
2873
1805
13.3
WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4
BUILDER’S JOINERY AND CARPENTRY OF WOOD1
21253
24595
141539
166887
13.4
BUILDER’S JOINERY AND CARPENTRY OF WOOD1
13.5
WOODEN FURNITURE
78902
88752
388866
409745
13.5
WOODEN FURNITURE
13.6
PREFABRICATED BUILDINGS OF WOOD
248
834
24068
34531
13.6
PREFABRICATED BUILDINGS OF WOOD
13.7
OTHER MANUFACTURED WOOD PRODUCTS
745
1329
30713
36936
13.7
OTHER MANUFACTURED WOOD PRODUCTS
14
SECONDARY PAPER PRODUCTS
14
SECONDARY PAPER PRODUCTS
14.1
COMPOSITE PAPER AND PAPERBOARD
4407
5256
46
36
14.1
COMPOSITE PAPER AND PAPERBOARD
14.2
SPECIAL COATED PAPER AND PULP PRODUCTS
19483
30990
1006
1529
14.2
SPECIAL COATED PAPER AND PULP PRODUCTS
14.3
HOUSEHOLD AND SANITARY PAPER, READY FOR USE
36182
0
47099
0
14.3
HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4
PACKAGING CARTONS, BOXES ETC.
80933
100104
43367
50795
14.4
PACKAGING CARTONS, BOXES ETC.
14.5
OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE
43324
53363
9638
11839
14.5
OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE
36152.68
48475.024
9428.64
11495.66701
14.5.1
of which: PRINTING AND WRITING PAPER, READY FOR USE
230
304
28
0
14.5.1
of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2
of which: ARTICLES, MOULDED OR PRESSED FROM PULP
3100
4039
181
343
14.5.2
of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3
of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
3841
545
1
0
14.5.3
of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
1 In February 2023 this definition was updated to exclude Glulam, Cross-Laminated Timber and I-Beams which are now distinct items in the JFSQ (15.1, 15.2 and 16). This change was made to reflect the update of HS2022.
Please complete each cell with
data (numerical value)
or "…" for not available
or "0" for zero data
ECE-EU Species
Country:
Date:
Name of Official responsible for reply:
DISCREPANCIES
FOREST SECTOR QUESTIONNAIRE ECE/EU Species Trade
Official Address (in full):
Checks
- Checks that values reported on JQ2 match values reported on this sheet
Trade in Roundwood and Sawnwood by species
Telephone:
Fax:
- Checks that subitems are < or = to aggregate
E-mail:
Specify Currency and Unit of Value (e.g.:1000 national currency):
Light blue cells are requested only for EU members using the Combined Nomenclature to fill in - other countries are welcome to do so if their trade classification nomenclature permits
Please note that information on tropical species trade is requested in questionnaire ITTO2 for ITTO member countries
"ex" codes indicate that only part of that trade classication code is used
1Please include the non-coniferous non-tropical species exported by tropical countries or imported from tropical countries.
2 Glulam, CLT and I Beams are classified as secondary wood products but for ease of reporting are included in JQ1 and JQ2
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017/HS2022 or SITC Rev.4 code is applicable.
For instance "ex4401.49" under product 3.2 means that only a part of HS2022 code 4401.49 refers to wood residues coming from wood processing (the other part coded under 4401.49 is recovered post-consumer wood).
++ Please use your judgement or, as a default, assign half of 4401.49 to item 3.2 and half to item 4 (note different quantity units)
In SITC Rev.4, if only 4 digits are shown, then all sub-headings at lower degrees of aggregation are included (for example, 634.1 includes 634.11 and 634.12).
* Please assign the trade data for HS code 4411.14 to product 8.3.2 (MDF/HDF) and 8.3.3 (other fibreboard) if it is possible to do this in national statistics. If not, please assign all the trade data to item 8.3.2 as in most cases MDF/HDF will represent the large majority of trade.
Poverty is still a big economic and social problem of almost every country. Therefore, it is very important to precisely define, identify and measure this phenomenon in order to be able to reduce poverty to a socially tolerable level. In the earliest approaches to measuring poverty, it was defined as the economic inability to meet basic needs and the minimum of living standards. However, modern methods of poverty analysis require a multidimensional approach to its measurement.
Languages and translations
English
1
UNITED NATIONS
ECONOMIC COMMISSION FOR EUROPE
CONFERENCE OF EUROPEAN STATISTICIANS
Group of Experts on Measuring Poverty and Inequality
28-29 November 2023
Workshop on Harmonization of Poverty Statistics to Measure SDG 1 and 10
27 November 2023
Topic: Multidimensional poverty
Some aspects of the multidimensional poverty in Bosnia and Herzegovina-Evidence from household budget
surveys
Prepared by Edin Sabanovic, Agency for Statistics of Bosnia and Herzegovina
Agency for statistics of Bosnia and Herzegovina: HBS 2004, HBS 2007, HBS 2011, HBS 2021/2022, main results.
Data for 2004, 2007 and 2011, Delalić, 2016.
Data for 2015 and 2021/2022, author`s calculation.
2 Number of deprivations by all included indicators.
3 Because of lacking the relevant data in the HBS questionnaire for 2015, this deprivation rate could not be calculated correctly. For this
reason the phone deprivation rate in 2015 is higher than it should be.
4 Ibid.
5 Ibid.
6 Ibid.
9
For differently defined total poverty lines, the percentages of multidimensionally poor households were calculated
by including all 16 indicators, 14 indicators, and 12 indicators and the following total poverty lines were defined:
Table 2. Number of indicators and total poverty lines
Number of
indicators
Treshold for
multidimensional poverty
16 6 or more deprivations
14 4 or more deprivations
12 3 or more deprivations
Source: Delalić, 2016.
The poverty line based on 12 indicators and the threshold defined as 3 or more deprivations was selected as the
most suitable7 for Bosnia and Herzegovina. For reasons of comparability with previous analyses8, we kept the
same methodology and calculated the adjusted headcount indices (𝑀0)9 for Bosnia and Herzegovina and its entities
for last two survey years. The results are shown in the table 3:
Table 3. Multidimensional poverty indicators for Bosnia and Herzegovina, by geographical area, 2004, 2007,
Agency for statistics of Bosnia and Herzegovina: HBS 2004, HBS 2007, HBS 2011, HBS 2021/2022, main results.
Data for 2004, 2007 and 2011, Delalić, 2016.
Data for 2015 and 2021/2022, author`s calculation.
According the multidimensional poverty measure (the adjusted headcount index, 𝑀0), the Republika Srpska is the
poorest area in Bosnia and Herzegovina with 3,7% od the poor households. But, only in this entity, the clear
downward trend of the multidimensional poverty is observed, since that trend was interrupted in 2015 in other
areas of the country. That break was caused by the break in the downward trends of the multidimensional
headcount index, 𝑃0, in 2015 in all areas. A significant improvement in the values of the multidimensional
headcount index is evident in 2021/2022. On the other hand, only in the Federation of B&H (and, consequently,
at the country level) there is a clear downward trend in the intensity of poverty measured by the average number
7 See more in Delalić, 2016.
8 Delalić, 2016.
9 Since the selected indicators consisted of dichotomous variables, the other two indicators from the Alkire-Foster class (𝑀1 and 𝑀2)
were not calculated.
10
of deprivations, 𝐴𝑠, since that indicator increased in the Republika Srpska and in the Brčko district of B&H in
2007.
The dynamics of one-dimensional and multidimensional poverty indicators in Bosnia and Herzegovina is
presented in the figure 2.
Figure 2. Overview of one-dimensional and multidimensional poverty indicators in Bosnia and
Herzegovina, 2004, 2007, 2011, 2015, 2021/2022, %
Source: Agency for statistics of Bosnia and Herzegovina, Source: Data for 2004, 2007 and 2011, Delalić, 2016
household budget surveys, 2004, 2007, 2011, 2015, 2021/2022 Data 2015 and 2021/2022, author`s calculation
In general, one-dimensional and multidimensional poverty indices in Bosnia and Herzegovina showed different
dynamics in the period 2004-2022. It is a clear indication that an effective poverty reduction policy must be based
on its multidimensional analysis, i.e. it must not be based only on one, and exclusively, monetary measure of that
phenomenon.
4. Conclusion
Poverty in BiH began to be measured in 2004, and to date, the methodology of its measurement and analysis has
remained the same. It means that poverty was defined as the economic inability to meet basic needs and the
minimum of living standards. According to that approach, poverty indicators were always one-dimensional and
were based on household consumption as a monetary aggregate, while the poverty line was calculated according
to the EU methodology of relative poverty line (60% of the median of monthly-equalized household consumption
expenditure). The poverty analysis was later extended with indicators of material deprivation (Agency for Statistics
of Bosnia and Herzegovina, 2013), however, they were never incorporated into the poverty indicator/s as its/their
determinants, but only expanded the analysis of poverty.
0.0
5.0
10.0
15.0
20.0
25.0
2
0
0
4
2
0
0
7
2
0
1
1
2
0
1
5
2
0
2
1
/2
0
2
2
One-dimensional headcount index
B&H
FB&H
RS
BD
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
16.0
18.0
2
0
0
4
2
0
0
7
2
0
1
1
2
0
1
5
2
0
2
1
/2
0
2
2
Multidimensional headcount index
B&H
FB&H
RS
BD
11
Modern methods of poverty analysis require a multidimensional approach to its measurement. In this sense, it
includes many non-material dimensions of life, social and psychological dimensions of poverty and various forms
of their manifestations. Analyzing poverty based on only one, mainly monetary dimension, either income or
consumption, has long been overcome. In the last decades, the analysis of poverty from a multidimensional aspect
was very fruitful and resulted in indices that satisfy a smaller or larger number of desirable mathematical conditions
(axioms). But, there is no unique method of the calculation of multidimensional poverty indicators.
In this paper, we limited our attention to the four most commonly used multidimensional poverty indicators,
namely Foster-Greer-Thorbecke, Bourguignon-Chakravarty, Watts and Alkire-Foster multidimensional indices of
poverty. Respecting the limited scope of this paper and for reasons of the comparability with indices from previous
surveys, in the empirical section of this paper, we produced the Alkire-Foster multidimensional index for years
2015 and 2021/2022, and we presented the dynamics of both, the multidimensional and the one-dimensional
poverty indices in Bosnia and Herzegovina. Since we noticed differences in trends of these indices, we concluded
that poverty in Bosnia and Herzegovina should certainly be measured and analyzed from its multidimensional
perspective. Only in this way is it possible to design effective policies for poverty reduction, which are two
important sustainable development goals on a global scale.
Our analysis certainly has significant limitations. First of all, the paper did not cover the calculation of other
multidimensional indices such as Foster-Greer-Thorbecke, Bourguignon-Chakravarty, Watts and other known
multidimensional indices. Second, the analysis does not contain income data since this data, although collected,
was not analyzed within household budget surveys in Bosnia and Herzegovina. Further, the analysis was based
only on the data available from the household budget surveys in Bosnia and Herzegovina, i.e. it did not take into
the calculation other poverty dimensions such as health, education and others.
First step for improvement the poverty analysis in Bosnia and Herzegovina is to use data collected within EU-
SILC. Our first full-scale SILC was conducted in 2022 but the data is still unavailable for analysis. Using SILC
data, the analysis of one-dimensional relative poverty will be fully harmonized with EU standards. Further
improvement should be focused on the inclusion of new dimensions and indicators of poverty in the calculation
of multidimensional indices and to use other well-known formulas for their calculation. All these aspects of the
multidimensional poverty should be in the focus of our future work.
5. References
1. Agency for Statistics of Bosnia and Herzegovina, ISTAT. (2005). The BiH Household Budget Survey 2004-
Final Results.
2. Agency for Statistics of Bosnia and Herzegovina. (2008). The BiH Household Budget Survey 2007-Final
Results.
12
3. Agency for Statistics of Bosnia and Herzegovina. (2013). The BiH Household Budget Survey 2011-Final
Results, Bulletin No. 15.
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Results. 2018. Bulletin No. 15.
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Press realese No. 1.
6. Alkire, S. and Foster, J.E. (2011). Counting and multidimensional poverty measurement. Journal of Public
Economics, vol. 95(7–8), pp. 476–487
7. Alkire, Kanagaratnam, Suppa. (2023). A methodological note on the global Multidimensional Poverty
Index (MPI) 2023 changes over time results for 84 countries. OPHI MPI Methodological Note 57, OPHI and
University of Oxford.
8. Alkire S., Santos M. E. (2010). Acute Multidimensional Poverty: A New Index for Developing Countries.
Oxford Poverty & Human Development Initiative (OPHI), Working paper No. 38.
9. Bourguignon-Chakravarty. (2003). The Measurements of Multidimensional Poverty. The Journal of
Economic Inequality, February 2003, DOI: 10.1023/A:1023913831342
10. Chakravarty, Deutsch, Silber. (2008). On the Watts Multidimensional Poverty Index and its
Decomposition. World Development Vol. 36, No. 6, pp. 1067–1077.
11. Foster J., Greer J., Thorbecke E. (1984). A Class of Decomposable Poverty Measures. Econometrica, 761-766.
12. Heinemann W. (1928-1935). Lucius Annasus Seneca. Moral Essays. Translated by John W. Basore. The Loeb
Classical Library. London: 3 vols.: Volume I.
13. Maddison A. (2001). The World Economy: A Millennial Perspective. Development Centre of the OECD.
14. OPHI. (2018). Global Multidimensional Poverty Index 2018: The Most Detailed Picture to Date of the World’s
Poorest People. Report. Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. ISBN
978-1-912291-12-0
15. OPHI, UNDP. (2023). Global Multidimensional Poverty Index 2023-Unstacking global poverty: Data for high
impact action.
16. Ravaillon M. (2011). On Multidimenzional Indices of Poverty. Journal of economic Inequality, 9(2): 235-
248.
17. Ravaillon M. (2008). Poverty Lines. The New Palgrave Dictionary of Economics, 2nd edition, Larry Blume
and Steven Durlauf (eds) London: Palgrave Macmillan.
18. Ravaillon Martin. (2012b). Troubling tradeoffs in the Human Development Index. Journal of Development
Economics, doi:10.1016/j.jdeveco.2012.01.003.
19. Sen A. (1983). Poor, relatively speaking. Oxford Economic Papers, 35(2) : 153- 169.
Poverty is still a big economic and social problem of almost every country. Therefore, it is very important to precisely define, identify and measure this phenomenon in order to be able to reduce poverty to a socially tolerable level. In the earliest approaches to measuring poverty, it was defined as the economic inability to meet basic needs and the minimum of living standards. However, modern methods of poverty analysis require a multidimensional approach to its measurement.
Languages and translations
English
United Nations Economic Commission for Europe
Palais des Nations, 1211 Geneva 10, Switzerland
Telephone: +41 (0)22 917 1234 (Palais des Nations)
ANNEX I
UNITED NATIONS
ECONOMIC COMMISSION FOR EUROPE
CONFERENCE OF EUROPEAN STATISTICIANS
Group of Experts on Measuring Poverty and Inequality
28-29 November 2023
Workshop on Harmonization of Poverty Statistics to Measure SDG 1 and 10
27 November 2023
Title of contribution Some aspects of the multidimensional poverty in Bosnia and Herzegovina-Evidence
from household budget surveys
Author Name Edin Šabanović
Author Organization Agency for Statistics of Bosnia and Herzegovina
In the Drina River Basin, shared mainly by Bosnia and Herzegovina, Montenegro and Serbia, working together across borders and jointly addressing water and energy challenges is a key part of effective climate action and the green transition.
Approaches in Measuring
Subjective Poverty in
Bosnia and Herzegovina
UNECE Group of Experts on Measuring Poverty and Inequality,
8-9 December 2022, Geneva, Switzerland
Edin Šabanović, Assistant Director
Measuring Poverty (1)
There are various poverty measurement.
The majority of them are monetary based poverty indicators.
Household income or consumption expenditure are monetary
aggregates used for the production of poverty indicators.
Several poverty indicators are highly standardized and used as official
national poverty measures produced by national statistical offices.
They are considered as „objective“ poverty measures and are used in
strategies for poverty reduction.
Monetary poverty indicators are not exaustive poverty measures.
There is a need for inclusion of non-monetary factors in poverty
measurement.
Measuring Poverty (2)
First new approaches introduced:
o POLI-Physical Quality of Life Index
oHDI-Human Development Index and
oMPI-Multidimensional Poverty Index
These included new dimensions to poverty measurement:
oInfant mortality
oLife expectancy
oEducation
oHealth
oLiving standard factors
But, they are still a kind of „objective“ or expert constructed poverty
measures.
Measuring Poverty (3)
A more complete approach to poverty analysis should include another
dimension in the poverty calculation – subjective poverty or subjective
assessment of the wellbeing.
Subjetive poverty measures should complement the monetary or
objective poverty indicators.
In such a way, the multidimensional nature of the poverty could be
covered.
Measuring Subjective Poverty in B&H (1)
Poverty in B&H is still measured on the basis of consumption expenditure
data collected from HBS.
The methodology of poverty indicator calculation is not fully
harmonized with EU standards (consumption approach is used).
Since 2011 HBS instruments extended with new module on social
inclusion in order to compensate the lack of EU-SILC.
Measuring Subjective Poverty in B&H (2)
Three poverty concepts used in this analysis:
orelative poverty
omaterial poverty, and
osubjective poverty.
Relatively poor were those households whose per capita
consumption is below the national relative poverty line. The
national relative poverty line was set to 60% of median of the per
capita consumption expenditure equalized by using OECD
modified equivalence scale.
Measuring Subjective Poverty in B&H (3)
Those households that were deprived of 4 out of 8 items of
material deprivation were marked as materially poor.
We used 8 instead of 9 items of the material deprivation since
data for one item (cannot afford a telephone) could not be
properly calculated.
Measuring Subjective Poverty in B&H (4)
For the definition of subjective poverty, we used a survey question, which is
a proxy of The Center for Social Policy Poverty Line (Duvoux and Papuchon,
2019). This question reads as follows:
“In your opinion, how does your household survive (to make ends meet):
overy difficult
odifficult
owith certain difficulties
onot just easy
oeasy
overy easy?”
Households that reported very difficult or difficult surviving were
considered subjectively poor for the purpose of this paper.
Results (1)
• Graph 1. Poverty indicators in Bosnia and Herzegovina (%), 2015
Table 2. Consumption (relative) and material poverty (%), 2015
Relatively non-poor Relatively poor
Total
Subjectively non-poor
90,3 9,7 100
Subjectively poor 66,9 33,1 100
Total 83,5 16,5 100
Relatively non-poor Relatively poor
Total
Materially non-poor
90,3 9,7 100
Materially poor 67,1 32,9 100
Total 83,5 16,5 100
Results (3)
Table 3. Subjective and material poverty (%), 2015
Monetary and subjective poverty and monetary and material poverty
overlap in Bosnia and Herzegovina in some extent, but, it is evident that
they refer to partially distinct social groups.
Subjectively non-
poor
Subjectively poor
Total
Materially non-
poor
86,8 14,2 100
Materially poor 34,9 65,1 100
Total 70,7 29,3 100
Who is poor in B&H? (1)
Graph 2. Poverty indicators by types of households (%), 2015
.000
.100
.200
.300
.400
.500
.600
Relatively poor Subjectively poor Materially poor
Who is poor in B&H? (2)
Graph 3: Poverty indicators by households with and without children (%),
2015
16.9
34.4
37.1
16.1
24.3
21.9
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
40.0
Relatively poor Subjectively poor Materially poor
Households without children Households with children
MIQ-Minimum Income Question (1)
Survey instruments contained a question about the minimum net income
which would meet the needs of the households.
We calculated the ratio of minimum income p.c. to the consumption
expenditure p.c.
Graph 4. Ratio of minimum income p.c. to the consumption expenditure
p.c., 2015
1.84
1.33 1.31
.00
.20
.40
.60
.80
1.00
1.20
1.40
1.60
1.80
2.00
Relatively poor Subjectively poor Materially poor
MIQ-Minimum Income Question (2)
• Graph 5. Ratio of minimum income p.c. to the consumption expenditure p.c.
by household types, 2015
0.95
1.00
1.05
1.10
1.15
1.20
1.25
MIQ-Minimum Income Question (3)
Graph 5. Ratio of minimum income p.c. to the consumption expenditure p.c.
by household with and without children, 2015
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
Households without children Households with children
Conclusion (1)
Subjective poverty in B&H based on questions that are proxy sources of
information describing subjective poverty feeling.
Subjective data offer to expand the information set traditionally used for
assessing poverty.
Analysis of non-monetary poverty can help identifying the most vulnerable
groups in the society and to contribute to the analysis of inequality.
This approach highlights the importance of linking statistical surveys
dedicated to poverty and living standards to the sociological studies related
to perception of social status and quality of life issues.
Combining monetary and non-monetary poverty measures can contribute to
faster development of the European ICW statistics.
Conclusion (2)
Shortcommings of this analysis:
oanalysis was not performed on the basis of intentionally designed surveys for
measuring subjective poverty.
oanalysis does not contain income data since this data, although collected,
was not analyzed within household budget surveys.
ofactors at the level of households and at the individual level which influence
subjective poverty feeling were not analyzed.
Steps for further work:
ouse 2022 EU-SILC dana for poverty measure.
oimprove design of survey questions in order to better cover subjective
assesment of poverty.
o apply more sophisticated statistical analysis.
Approaches in Measuring Subjective Poverty in Bosnia and Herzegovina
Measuring Poverty (1)
Measuring Poverty (2)
Measuring Poverty (3)
Measuring Subjective Poverty in B&H (1)
Measuring Subjective Poverty in B&H (2)
Measuring Subjective Poverty in B&H (3)
Measuring Subjective Poverty in B&H (4)
Results (1)
Results (2)
Results (3)
Who is poor in B&H? (1)
Who is poor in B&H? (2)
MIQ-Minimum Income Question (1)
MIQ-Minimum Income Question (2)
MIQ-Minimum Income Question (3)
Conclusion (1)
Conclusion (2)
Slide Number 19
Russian
Подходы к измерению
субъективной бедности
в Боснии и Герцеговине
ЕЭК ООН Группа экспертов по измерению бедности и
неравенства,
8-9 декабря 2022 года, Женева, Швейцария
Эдин Шабанович, Заместитель директора
Измерение бедности (1)
Существуют различные измерения бедности.
Большинство из них - это монетарные индикаторы бедности.
Доход домохозяйства или потребительские расходы представляют
собой денежные агрегаты, используемые для расчета показателей
бедности.
Некоторые показатели бедности строго стандартизированы и
используются в качестве официальных национальных показателей
бедности, рассчитываемых национальными статистическими
управлениями.
Они считаются «объективными» показателями бедности и
используются в стратегиях сокращения бедности.
Показатели денежной бедности не являются исчерпывающими
показателями бедности.
Существует необходимость включения немонетарных факторов в
Измерение бедности (2)
Внедрены первые новые подходы:
o Индекс физического качества жизни (ИФКЖ)
oИЧР - Индекс человеческого развития и
oИМБ - Индекс многомерной бедности
Они включали новые аспекты измерения бедности:
oМладенческая смертность
oОжидаемая продолжительность жизни
oОбразование
oЗдоровье
oФакторы условий жизни
Но они все еще являются «задачей на будущее» или показателями бедности,
сформированными экспертами
Измерение бедности (3)
Более полный подход к анализу бедности должен включать в расчет
бедности еще одно измерение – субъективную бедность или
субъективную оценку благосостояния.
Субъективные показатели бедности должны дополнять денежные или
объективные показатели бедности.
Таким образом можно охватить многомерный характер бедности.
Измерение субъективной бедности в БиГ (1)
Бедность в БиГ все еще измеряется на основе данных о
потребительских расходах по итогам ОБДХ.
Методика расчета показателей бедности не полностью
гармонизирована с европейскими стандартами (используется подход
на основе потребления).
С 2011 года инструменты ОБДХ были расширены за счет нового модуля
«социальная интеграция», который призван компенсировать отсутствие
СДУЖ-ЕС.
Измерение субъективной бедности в БиГ (2)
В данном анализе используются три концепции бедности:
oотносительная бедность
oматериальная бедность и
oсубъективная бедность.
Относительно бедными были те домохозяйства, чье
среднедушевое потребление ниже национальной черты
относительной бедности. Национальная черта относительной
бедности была установлена на уровне 60% медианы расходов
на потребление на душу населения, выровненных с
использованием модифицированной шкалы эквивалентности
ОЭСР.
Измерение субъективной бедности в БиГ (3)
Те домохозяйства, которые испытывали лишения по 4 из 8
признаков материальной депривации, были отмечены как
материально бедные.
Мы использовали 8 вместо 9 пунктов материальной депривации, так
как данные по одному пункту (не могу позволить себе телефон) не
могли быть правильно рассчитаны.
Измерение субъективной бедности в БиГ (4)
Для определения субъективной бедности мы использовали вопрос
обследования, который приближен к вопросу Центра социальной
политики по черте бедности (Duvoux and Papuchon, 2019). Этот вопрос
звучит следующим образом:
«Как, по вашему мнению, у вашего домохозяйства получается (сводить
концы с концами):
oочень сложно
oсложно
oс определенными сложностями
oне так уж легко
oлегко
oочень легко?»
Для целей этой статьи домохозяйства, сообщившие о том, что им
сложно или очень сложно выживать, считались субъективно бедными.
Результаты (1)
• Диаграмма 1. Индикаторы бедности в Боснии и Герцеговине (%), 2015
16.5
29.3 29.6
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
Relatively poor Subjectively poor Materially poor
Результаты (2)
Таблица 1. Потребление (относительное) и субъективная бедность (%),
2015
Таблица 2. Потребление (относительное) и материальная бедность (%),
2015
Относительно не
бедные
Относительно
бедные
Итого
Субъективно не
бедные
90,3 9,7 100
Субъективно бедные 66,9 33,1 100
Итого 83,5 16,5 100
Относительно не
бедные
Относительно
бедные
Итого
Материально не
бедные
90,3 9,7 100
Материально
бедные 67,1 32,9 100
Итого 83,5 16,5 100
Результаты (3)
Таблица 3. Субъективная и материальная бедность (%), 2015
Денежная и субъективная бедность, а также монетарная и
материальная бедность в некоторой степени пересекаются в Боснии и
Герцеговине, но очевидно, что они относятся к частично различным
социальным группам.
Субъективно не
бедные
Субъективно
бедные
Итого
Материально не
бедные
86,8 14,2 100
Материально
бедные 34,9 65,1 100
Итого 70,7 29,3 100
Бедные в БиГ - кто они? (1)
Диаграмма 2. Индикаторы бедности по типам домохозяйств (%), 2015
.000
.100
.200
.300
.400
.500
.600
Relatively poor Subjectively poor Materially poor
Бедные в БиГ - кто они? (2)
Диаграмма 3: Показатели бедности по домохозяйствам с детьми и без
детей (%), 2015 г.
16.9
34.4
37.1
16.1
24.3
21.9
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
40.0
Relatively poor Subjectively poor Materially poor
Households without children Households with children
ВМД - Вопрос о минимальном доходе (1)
Среди средств изучения был вопрос о минимальном чистом доходе,
который бы соответствовал потребностям домохозяйств.
Мы рассчитали соотношение между минимальным доходом на душу
населения и потребительскими расходами на душу населения
Диаграмма 4. Соотношение между минимальным доходом на душу
населения и потребительскими расходами на душу населения, 2015
1.84
1.33 1.31
.00
.20
.40
.60
.80
1.00
1.20
1.40
1.60
1.80
2.00
Relatively poor Subjectively poor Materially poor
ВМД - Вопрос о минимальном доходе (2)
• Диаграмма 5. Соотношение между минимальным доходом на душу
населения и потребительскими расходами на душу населения по типам
домохозяйств, 2015
0.95
1.00
1.05
1.10
1.15
1.20
1.25
ВМД - Вопрос о минимальном доходе (3)
Диаграмма 5. Соотношение между минимальным доходом на душу
населения и потребительскими расходами на душу населения по
домохозяйствам с детьми и без детей, 2015
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
Households without children Households with children
Выводы (1)
Оценка субъективной бедности в БиГ основана на вопросах, которые
являются приближенными значениями источников информации,
описывающих ощущение субъективной бедности.
Субъективные данные позволяют расширить спектр информации,
традиционно используемой для оценки бедности.
Анализ немонетарной бедности может помочь выявить наиболее
уязвимые группы в обществе и внести вклад в анализ неравенства.
Этот подход подчеркивает важность увязки статистических
обследований, посвященных бедности и уровню жизни, с
социологическими исследованиями, связанными с восприятием
вопросов социального статуса и качества жизни.
Сочетание монетарных и немонетарных показателей бедности может
способствовать более быстрому развитию европейской статистики
доходов потребления и благосостояния (ICW)
Выводы (2)
Недостатки этого анализа:
oАнализ проводился не на основе специально разработанных
обследований для измерения субъективной бедности.
oАнализ не содержит данных о доходах, поскольку эти данные, хотя и
собирались, не анализировались в рамках обследований бюджетов
домохозяйств.
oНе анализировались факторы на уровне домохозяйств и на
индивидуальном уровне, влияющие на субъективное ощущение
бедности.
Дальнейшая работа:
oИспользование данных СДУЖ-ЕС 2022 года для измерения бедности.
oДоработка вопросов обследования, чтобы лучше отразить субъективную
оценку бедности.
o Применение более сложного статистического анализа.
A new publication released today by UNECE, Approaches to Measuring Social Exclusion, examines the many and varied ways in which statistics can assess progress towards the policy goal of leaving no-one behind.
Social exclusion, or being left out of societal processes and structures, often goes hand-in-hand with being left out of the associated statistics.
This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data!
Trade
Telephone:
Fax:
This table highlights discrepancies between items and sub-items. Please verify your data for any non-zero figure!
E-mail:
Country:
Bosnia and Herzegovina
Country:
Bosnia and Herzegovina
Specify Currency and Unit of Value (e.g.:1000 US $):
1000 BAM
Trade
Discrepancies
Product
Unit of
I M P O R T
E X P O R T
Product
I M P O R T
E X P O R T
Product
Apparent Consumption
code
Product
quantity
2018
2019
2018
2019
code
2018
2019
2018
2019
code
2018
2019
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
84
13,666
159
25,057
894
119,435
708
102,548
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
0
0
0
0
0
0
0
0
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
NT 809.94
NT 548.92
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
3
209
2
101
840
108,298
670
93,022
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
0
0
0
0
0
0
0
0
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
NT 836.27
NT 668.37
1.1.C
Coniferous
1000 m3ub
3
132
2
73
10
2,438
9
2,185
1.1.C
Coniferous
1000 m3ub
1.1.C
Coniferous
1000 m3ub
NT 7.54
NT 6.66
1.1.NC
Non-Coniferous
1000 m3ub
1
77
0
28
829
105,860
662
90,836
1.1.NC
Non-Coniferous
1000 m3ub
1.1.NC
Non-Coniferous
1000 m3ub
NT 828.73
NT 661.71
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
81
13,457
157
24,956
55
11,138
38
9,526
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
0
0
0
0
0
0
0
0
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
NT -26.33
NT -119.45
1.2.C
Coniferous
1000 m3ub
71
9,554
138
20,364
44
6,294
25
3,727
1.2.C
Coniferous
1000 m3ub
1.2.C
Coniferous
1000 m3ub
NT -26.8
NT -113.79
1.2.NC
Non-Coniferous
1000 m3ub
10
3,903
19
4,593
10
4,843
13
5,799
1.2.NC
Non-Coniferous
1000 m3ub
1.2.NC
Non-Coniferous
1000 m3ub
NT 0.470000000000001
NT -5.66
1.2.NC.T
of which: Tropical
1000 m3ub
0
0
0
0
0
0
0
0
1.2.NC.T
of which: Tropical
1000 m3ub
1.2.NC.T
of which: Tropical
1000 m3ub
NT 0
NT 0
2
WOOD CHARCOAL
1000 mt
1
1,073
2
1,670
20
15,157
17
14,095
2
WOOD CHARCOAL
1000 mt
2
WOOD CHARCOAL
1000 mt
NT 18.63
NT 14.77
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
19
1,474
12
850
22
2,113
24
2,306
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
0
0
0
0
0
0
0
0
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
NT 3.27
NT 12.42
3.1
WOOD CHIPS AND PARTICLES
1000 m3
17
1,385
7
542
22
2,045
22
2,192
3.1
WOOD CHIPS AND PARTICLES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
NT 4.52
NT 15.95
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
2
89
5
309
0
68
2
114
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
NT -1.25
NT -3.53
4
RECOVERED POST-CONSUMER WOOD
1000 mt
1
60
1
75
1
118
1
102
4
RECOVERED POST-CONSUMER WOOD
1000 mt
4
RECOVERED POST-CONSUMER WOOD
1000 mt
NT 0.53
NT -0.16
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 mt
10
2,550
2
526
169
47,813
128
36,629
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 mt
0
0
0
0
0
0
0
0
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 mt
NT 159.03
NT 126.13
5.1
WOOD PELLETS
1000 mt
10
2,438
1
461
82
24,377
70
21,309
5.1
WOOD PELLETS
1000 mt
5.1
WOOD PELLETS
1000 mt
NT 72.45
NT 68.44
5.2
OTHER AGGLOMERATES
1000 mt
1
113
0
66
87
23,436
58
15,320
5.2
OTHER AGGLOMERATES
1000 mt
5.2
OTHER AGGLOMERATES
1000 mt
NT 86.58
NT 57.69
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
165
68,302
158
69,032
943
361,918
845
331,492
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
0
0
0
0
0
0
0
0
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
NT 777.7
NT 687.16
6.C
Coniferous
1000 m3
7
3,936
8
4,541
645
157,460
579
141,765
6.C
Coniferous
1000 m3
6.C
Coniferous
1000 m3
NT 637.81
NT 571.39
6.NC
Non-Coniferous
1000 m3
158
64,366
150
64,491
298
204,458
266
189,727
6.NC
Non-Coniferous
1000 m3
6.NC
Non-Coniferous
1000 m3
NT 139.89
NT 115.77
6.NC.T
of which: Tropical
1000 m3
2
2,603
1
2,233
1
421
1
326
6.NC.T
of which: Tropical
1000 m3
6.NC.T
of which: Tropical
1000 m3
NT -0.42
NT -0.62
7
VENEER SHEETS
1000 m3
7
15,507
10
14,850
7
17,971
6
16,672
7
VENEER SHEETS
1000 m3
0
0
0
0
0
0
0
0
7
VENEER SHEETS
1000 m3
NT -0.14
NT -4.23
7.C
Coniferous
1000 m3
1
906
1
1,141
0
51
0
67
7.C
Coniferous
1000 m3
7.C
Coniferous
1000 m3
NT -0.66
NT -0.74
7.NC
Non-Coniferous
1000 m3
7
14,601
9
13,709
7
17,921
6
16,605
7.NC
Non-Coniferous
1000 m3
7.NC
Non-Coniferous
1000 m3
NT 0.52
NT -3.49
7.NC.T
of which: Tropical
1000 m3
0
135
0
61
0
217
0
229
7.NC.T
of which: Tropical
1000 m3
7.NC.T
of which: Tropical
1000 m3
NT 0.24
NT 0.02
8
WOOD-BASED PANELS
1000 m3
286
146,086
285
145,362
19
24,389
18
26,179
8
WOOD-BASED PANELS
1000 m3
0
0
0
0
0
0
0
0
8
WOOD-BASED PANELS
1000 m3
NT -266.98
NT -266.72
8.1
PLYWOOD
1000 m3
14
16,130
16
17,810
16
22,505
16
24,228
8.1
PLYWOOD
1000 m3
0
0
0
0
0
0
0
0
8.1
PLYWOOD
1000 m3
NT 2.27
NT -0.32
8.1.C
Coniferous
1000 m3
3
3,131
2
2,362
0
295
0
332
8.1.C
Coniferous
1000 m3
8.1.C
Coniferous
1000 m3
NT -2.46
NT -1.66
8.1.NC
Non-Coniferous
1000 m3
12
12,999
14
15,448
16
22,210
16
23,896
8.1.NC
Non-Coniferous
1000 m3
8.1.NC
Non-Coniferous
1000 m3
NT 4.73
NT 1.34
8.1.NC.T
of which: Tropical
1000 m3
0
158
0
362
0
23
0
36
8.1.NC.T
of which: Tropical
1000 m3
8.1.NC.T
of which: Tropical
1000 m3
NT -0.06
NT -0.28
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
167
76,655
163
73,061
1
730
1
897
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
NT -166.16
NT -161.8
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
9
4,652
1
286
0
4
0
23
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
NT -8.67
NT -0.53
8.3
FIBREBOARD
1000 m3
105
53,300
106
54,491
2
1,154
1
1,054
8.3
FIBREBOARD
1000 m3
0
0
0
0
0
0
0
0
8.3
FIBREBOARD
1000 m3
NT -103.09
NT -104.6
8.3.1
HARDBOARD
1000 m3
11
11,395
11
10,999
0
597
0
725
8.3.1
HARDBOARD
1000 m3
8.3.1
HARDBOARD
1000 m3
NT -10.79
NT -10.14
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
86
40,273
88
41,774
1
458
0
205
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
NT -85.42
NT -87.54
8.3.3
OTHER FIBREBOARD
1000 m3
7
1,632
7
1,718
0
99
0
124
8.3.3
OTHER FIBREBOARD
1000 m3
8.3.3
OTHER FIBREBOARD
1000 m3
NT -6.88
NT -6.92
9
WOOD PULP
1000 mt
40
50,621
40
46,010
0
36
0
33
9
WOOD PULP
1000 mt
0
0
0
0
0
0
0
0
9
WOOD PULP
1000 mt
NT -39.5723
NT -39.96
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 mt
1
1,148
1
905
0
0
0
0
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 mt
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 mt
NT -1.22
NT -0.94
9.2
CHEMICAL WOOD PULP
1000 mt
38
49,467
39
45,099
0
36
0
33
9.2
CHEMICAL WOOD PULP
1000 mt
0
0
0
0
0
0
0
0
9.2
CHEMICAL WOOD PULP
1000 mt
NT -38.352
NT -39.02
9.2.1
SULPHATE PULP
1000 mt
38
49,441
39
44,790
0
36
0
33
9.2.1
SULPHATE PULP
1000 mt
9.2.1
SULPHATE PULP
1000 mt
NT -38.346
NT -38.79
9.2.1.1
of which: BLEACHED
1000 mt
38
49,441
39
44,790
0
36
0
33
9.2.1.1
of which: BLEACHED
1000 mt
9.2.1.1
of which: BLEACHED
1000 mt
NT -38.346
NT -38.79
9.2.2
SULPHITE PULP
1000 mt
0
26
0
309
0
0
0
0
9.2.2
SULPHITE PULP
1000 mt
9.2.2
SULPHITE PULP
1000 mt
NT -0.006
NT -0.23
9.3
DISSOLVING GRADES
1000 mt
0
6
0
7
0
0
0
0
9.3
DISSOLVING GRADES
1000 mt
9.3
DISSOLVING GRADES
1000 mt
NT -0.0003
NT 0
10
OTHER PULP
1000 mt
0
756
0
240
0
2
0
1
10
OTHER PULP
1000 mt
0
0
0
0
0
0
0
0
10
OTHER PULP
1000 mt
NT -0.329
NT -0.14
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 mt
0
68
0
76
0
0
0
0
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 mt
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 mt
NT -0.03
NT -0.03
10.2
RECOVERED FIBRE PULP
1000 mt
0
689
0
164
0
2
0
1
10.2
RECOVERED FIBRE PULP
1000 mt
10.2
RECOVERED FIBRE PULP
1000 mt
NT -0.299
NT -0.11
11
RECOVERED PAPER
1000 mt
6
1,576
2
491
41
11,885
50
11,982
11
RECOVERED PAPER
1000 mt
11
RECOVERED PAPER
1000 mt
NT 35.5
NT 48.51
12
PAPER AND PAPERBOARD
1000 mt
106
189,382
105
185,293
113
182,211
82
131,021
12
PAPER AND PAPERBOARD
1000 mt
0
0
0
0
0
0
0
0
12
PAPER AND PAPERBOARD
1000 mt
NT 6.91000000000001
NT -22.78
12.1
GRAPHIC PAPERS
1000 mt
43
70,387
41
64,821
2
4,324
2
3,354
12.1
GRAPHIC PAPERS
1000 mt
0
0
0
0
0
0
0
0
12.1
GRAPHIC PAPERS
1000 mt
NT -40.65
NT -38.75
12.1.1
NEWSPRINT
1000 mt
6
5,426
4
4,324
0
75
0
92
12.1.1
NEWSPRINT
1000 mt
12.1.1
NEWSPRINT
1000 mt
NT -5.78
NT -4.34
12.1.2
UNCOATED MECHANICAL
1000 mt
1
1,547
1
1,762
0
73
0
127
12.1.2
UNCOATED MECHANICAL
1000 mt
12.1.2
UNCOATED MECHANICAL
1000 mt
NT -1.05
NT -1.19
12.1.3
UNCOATED WOODFREE
1000 mt
21
35,145
21
33,396
1
2,274
1
1,898
12.1.3
UNCOATED WOODFREE
1000 mt
12.1.3
UNCOATED WOODFREE
1000 mt
NT -19.52
NT -19.56
12.1.4
COATED PAPERS
1000 mt
15
28,269
14
25,339
1
1,902
1
1,237
12.1.4
COATED PAPERS
1000 mt
12.1.4
COATED PAPERS
1000 mt
NT -14.3
NT -13.66
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 mt
13
25,632
14
26,521
21
42,589
22
42,296
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 mt
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 mt
NT 7.71
NT 7.38
12.3
PACKAGING MATERIALS
1000 mt
48
80,495
48
78,725
89
131,597
58
80,620
12.3
PACKAGING MATERIALS
1000 mt
0
0
0
0
0
0
0
0
12.3
PACKAGING MATERIALS
1000 mt
NT 41.15
NT 10.05
12.3.1
CASE MATERIALS
1000 mt
7
6,440
7
6,194
14
10,426
8
5,677
12.3.1
CASE MATERIALS
1000 mt
12.3.1
CASE MATERIALS
1000 mt
NT 6.84
NT 1.16
12.3.2
CARTONBOARD
1000 mt
14
36,858
14
35,027
1
1,710
1
1,515
12.3.2
CARTONBOARD
1000 mt
12.3.2
CARTONBOARD
1000 mt
NT -13.43
NT -13.13
12.3.3
WRAPPING PAPERS
1000 mt
25
35,016
24
35,237
75
119,411
49
73,338
12.3.3
WRAPPING PAPERS
1000 mt
12.3.3
WRAPPING PAPERS
1000 mt
NT 49.98
NT 24.16
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 mt
2
2,181
2
2,267
0
51
0
91
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 mt
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 mt
NT -2.24
NT -2.14
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 mt
2
12,867
2
15,226
0
3,701
1
4,750
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 mt
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
Light blue cells are requested only for EU members using the Combined Nomenclature to fill in - other countries are welcome to do so if their trade classification nomenclature permits
"ex" codes indicate that only part of that trade classication code is used
Please note that information on tropical species trade is requested in questionnaire ITTO2 for ITTO member countries
Changes from JQ2017 to JQ2018
Below is a complete list of all changes to JQ2018.
1) Definitions
a) Revised definition of production to be more specific about inclusion of intermediate production of pulp and other products.
b) Added specific use of pulpwood in panels in title to make it more clear (item 1.2.2)
c) Excluded continuously produced wood chips (item 3.1)
d) Eontinuously produced wood chips (item 3.1)make it more clearf pulp and other products.se data where possible.xcluded bamboo from secondary processed products (items 13.3, 13.4, 13.7).
e) Excluded sanitary napkins from ready to use household and sanitary paper (item 14.3).
Questionnaires – there were no changes
JQ1|Primary Products|Production
n
Country:
Bosnia and Herzegovina
Date: 18.06.2019
Country:
Bosnia and Herzegovina
Name of Official responsible for reply:
Official Address (in full):
FOREST SECTOR QUESTIONNAIRE JQ1
Industrial Roundwood Balance
PRIMARY PRODUCTS
Telephone:
Fax:
This table highlights discrepancies between items and sub-items. Please verify your data for any non-zero figure!
Discrepancies
Removals and Production
E-mail:
test for good numbers, missing number, bad number, negative number
51
51
Product
Product
Unit
2017
2018
Product
Product
Unit
2017
2018
2017
2018
% change
Conversion factors
Code
Quantity
Quantity
Code
Quantity
Quantity
Roundwood
Industrial roundwood availability
McCusker 14/6/07: McCusker 14/6/07:
minus 1.2.3 (other ind. RW) production
2,665
2,819
6%
m3 of wood in m3 or mt of product
REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH)
REMOVALS OF ROUNDWOOD (WOOD IN THE ROUGH)
Recovered wood used in particle board
3
2
-26%
Solid wood equivalent
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
4,375
4,487
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
0
0
Solid Wood Demand
agglomerate production
400
350
-13%
2.4
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
1,491
1,507
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
-0
0
Sawnwood production
1,902
1,750
-8%
1
1.1.C
Coniferous
1000 m3ub
1
1
1.1.C
Coniferous
1000 m3ub
veneer production
27
22
-16%
1
1.1.NC
Non-Coniferous
1000 m3ub
1,490
1,506
1.1.NC
Non-Coniferous
1000 m3ub
plywood production
28
24
-13%
1
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
2,884
2,980
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
0
0
particle board production (incl OSB)
11
9
-19%
1.58
1.2.C
Coniferous
1000 m3ub
2,033
2,250
1.2.C
Coniferous
1000 m3ub
0
0
fibreboard production
3
1
-72%
1.8
1.2.NC
Non-Coniferous
1000 m3ub
851
730
1.2.NC
Non-Coniferous
1000 m3ub
0
0
mechanical/semi-chemical pulp production
0
0
missing data
2.5
1.2.NC.T
of which: Tropical
1000 m3ub
0
0
1.2.NC.T
of which: Tropical
1000 m3ub
chemical pulp production
68
81
19%
4.9
1.2.1
SAWLOGS AND VENEER LOGS
1000 m3ub
2,111
2,165
1.2.1
SAWLOGS AND VENEER LOGS
1000 m3ub
0
0
dissolving pulp production
0
0
missing data
5.7
1.2.1.C
Coniferous
1000 m3ub
1,385
1,511
1.2.1.C
Coniferous
1000 m3ub
Availability
Solid Wood Demand
3,272
3,047
-7%
1.2.1.NC
Non-Coniferous
1000 m3ub
726
654
1.2.1.NC
Non-Coniferous
1000 m3ub
Difference (roundwood-demand)
-3,270
-3,045
-7%
positive = surplus
1.2.2
PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD)
1000 m3ub
614
627
1.2.2
PULPWOOD, ROUND AND SPLIT (INCLUDING WOOD FOR PARTICLE BOARD, OSB AND FIBREBOARD)
1000 m3ub
0
0
gap (demand/availability)
-23%
-8%
Negative number means not enough roundwood available
1.2.2.C
Coniferous
1000 m3ub
515
575
1.2.2.C
Coniferous
1000 m3ub
Positive number means more roundwood available than demanded
1.2.2.NC
Non-Coniferous
1000 m3ub
99
53
1.2.2.NC
Non-Coniferous
1000 m3ub
1.2.3
OTHER INDUSTRIAL ROUNDWOOD
1000 m3ub
159
187
1.2.3
OTHER INDUSTRIAL ROUNDWOOD
1000 m3ub
0
0
1.2.3.C
Coniferous
1000 m3ub
133
164
1.2.3.C
Coniferous
1000 m3ub
% of particle board that is from recovered wood
35%
1.2.3.NC
Non-Coniferous
1000 m3ub
26
23
1.2.3.NC
Non-Coniferous
1000 m3ub
share of agglomerates produced from industrial roundwood residues
100%
PRODUCTION
PRODUCTION
usable industrial roundwood - amount of roundwood that is used, remainder leaves industry
98.5%
2
WOOD CHARCOAL
1000 mt
40
30
2
WOOD CHARCOAL
1000 mt
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
330
300
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
0
0
3.1
WOOD CHIPS AND PARTICLES
1000 m3
150
200
3.1
WOOD CHIPS AND PARTICLES
1000 m3
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
180
100
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
4
RECOVERED POST-CONSUMER WOOD
1000 mt
3
4
4
RECOVERED POST-CONSUMER WOOD
1000 mt
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 mt
400
350
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 mt
0
0
5.1
WOOD PELLETS
1000 mt
250
220
5.1
WOOD PELLETS
1000 mt
5.2
OTHER AGGLOMERATES
1000 mt
150
130
5.2
OTHER AGGLOMERATES
1000 mt
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
1,902
1,750
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
0
0
6.C
Coniferous
1000 m3
674
710
6.C
Coniferous
1000 m3
6.NC
Non-Coniferous
1000 m3
1,229
1,040
6.NC
Non-Coniferous
1000 m3
6.NC.T
of which: Tropical
1000 m3
2
1
6.NC.T
of which: Tropical
1000 m3
7
VENEER SHEETS
1000 m3
27
22
7
VENEER SHEETS
1000 m3
0
0
7.C
Coniferous
1000 m3
12
4
7.C
Coniferous
1000 m3
7.NC
Non-Coniferous
1000 m3
14
18
7.NC
Non-Coniferous
1000 m3
7.NC.T
of which: Tropical
1000 m3
1
0
7.NC.T
of which: Tropical
1000 m3
8
WOOD-BASED PANELS
1000 m3
42
34
8
WOOD-BASED PANELS
1000 m3
0
0
8.1
PLYWOOD
1000 m3
28
24
8.1
PLYWOOD
1000 m3
0
0
8.1.C
Coniferous
1000 m3
11
5
8.1.C
Coniferous
1000 m3
8.1.NC
Non-Coniferous
1000 m3
17
19
8.1.NC
Non-Coniferous
1000 m3
8.1.NC.T
of which: Tropical
1000 m3
3
2
8.1.NC.T
of which: Tropical
1000 m3
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
11
9
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
3
3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
8.3
FIBREBOARD
1000 m3
3
1
8.3
FIBREBOARD
1000 m3
0
0
8.3.1
HARDBOARD
1000 m3
1
0
8.3.1
HARDBOARD
1000 m3
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
2
1
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
8.3.3
OTHER FIBREBOARD
1000 m3
0
0
8.3.3
OTHER FIBREBOARD
1000 m3
9
WOOD PULP
1000 mt
68
81
9
WOOD PULP
1000 mt
0
0
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 mt
0
0
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 mt
9.2
CHEMICAL WOOD PULP
1000 mt
68
81
9.2
CHEMICAL WOOD PULP
1000 mt
0
0
9.2.1
SULPHATE PULP
1000 mt
68
81
9.2.1
SULPHATE PULP
1000 mt
9.2.1.1
of which: BLEACHED
1000 mt
0
0
9.2.1.1
of which: BLEACHED
1000 mt
9.2.2
SULPHITE PULP
1000 mt
0
0
9.2.2
SULPHITE PULP
1000 mt
9.3
DISSOLVING GRADES
1000 mt
0
0
9.3
DISSOLVING GRADES
1000 mt
10
OTHER PULP
1000 mt
0
0
10
OTHER PULP
1000 mt
0
0
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 mt
0
0
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 mt
10.2
RECOVERED FIBRE PULP
1000 mt
0
0
10.2
RECOVERED FIBRE PULP
1000 mt
11
RECOVERED PAPER
1000 mt
60
50
11
RECOVERED PAPER
1000 mt
12
PAPER AND PAPERBOARD
1000 mt
135
143
12
PAPER AND PAPERBOARD
1000 mt
0
0
12.1
GRAPHIC PAPERS
1000 mt
0
1
12.1
GRAPHIC PAPERS
1000 mt
0
0
12.1.1
NEWSPRINT
1000 mt
0
0
12.1.1
NEWSPRINT
1000 mt
12.1.2
UNCOATED MECHANICAL
1000 mt
0
0
12.1.2
UNCOATED MECHANICAL
1000 mt
12.1.3
UNCOATED WOODFREE
1000 mt
0
0
12.1.3
UNCOATED WOODFREE
1000 mt
12.1.4
COATED PAPERS
1000 mt
0
0
12.1.4
COATED PAPERS
1000 mt
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 mt
27
23
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 mt
12.3
PACKAGING MATERIALS
1000 mt
106
118
12.3
PACKAGING MATERIALS
1000 mt
0
0
12.3.1
CASE MATERIALS
1000 mt
12
16
12.3.1
CASE MATERIALS
1000 mt
12.3.2
CARTONBOARD
1000 mt
12
12
12.3.2
CARTONBOARD
1000 mt
12.3.3
WRAPPING PAPERS
1000 mt
82
90
12.3.3
WRAPPING PAPERS
1000 mt
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 mt
0
0
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 mt
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 mt
2
1
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
This table highlights discrepancies between production and trade. For any negative number, indicating greater net exports than production, please verify your data!
Trade
Telephone:
Fax:
This table highlights discrepancies between items and sub-items. Please verify your data for any non-zero figure!
E-mail:
Country:
Bosnia and Herzegovina
Country:
Bosnia and Herzegovina
Specify Currency and Unit of Value (e.g.:1000 US $):
1000 BAM
Trade
Discrepancies
Product
Unit of
I M P O R T
E X P O R T
Product
I M P O R T
E X P O R T
Product
Apparent Consumption
code
Product
quantity
2017
2018
2017
2018
code
2017
2018
2017
2018
code
2017
2018
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
36
6,816
84
13,666
973
114,067
894
119,435
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
0
0
0
0
0
0
0
0
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
3,438
3,677
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
1
73
3
209
878
99,976
840
108,298
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
0
0
0
0
0
0
0
0
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
614
671
1.1.C
Coniferous
1000 m3ub
1
29
3
132
19
3,388
10
2,438
1.1.C
Coniferous
1000 m3ub
1.1.C
Coniferous
1000 m3ub
-17
-7
1.1.NC
Non-Coniferous
1000 m3ub
0
44
1
77
858
96,588
829
105,860
1.1.NC
Non-Coniferous
1000 m3ub
1.1.NC
Non-Coniferous
1000 m3ub
632
677
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
35
6,743
81
13,457
95
14,092
55
11,138
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
0
0
0
0
0
0
0
0
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
2,824
3,006
1.2.C
Coniferous
1000 m3ub
22
3,397
71
9,554
73
7,520
44
6,294
1.2.C
Coniferous
1000 m3ub
1.2.C
Coniferous
1000 m3ub
1,982
2,277
1.2.NC
Non-Coniferous
1000 m3ub
13
3,346
10
3,903
22
6,572
10
4,843
1.2.NC
Non-Coniferous
1000 m3ub
1.2.NC
Non-Coniferous
1000 m3ub
842
729
1.2.NC.T
of which: Tropical
1000 m3ub
0
67
0
0
0
16
0
0
1.2.NC.T
of which: Tropical
1000 m3ub
1.2.NC.T
of which: Tropical
1000 m3ub
0
0
2
WOOD CHARCOAL
1000 mt
1
656
1
1,073
25
18,631
20
15,157
2
WOOD CHARCOAL
1000 mt
2
WOOD CHARCOAL
1000 mt
16
11
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
7
493
19
1,474
21
2,040
22
2,113
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
0
0
0
0
0
0
0
0
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
316
297
3.1
WOOD CHIPS AND PARTICLES
1000 m3
5
414
17
1,385
20
1,858
22
2,045
3.1
WOOD CHIPS AND PARTICLES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
135
195
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
2
79
2
89
1
182
0
68
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
181
101
4
RECOVERED POST-CONSUMER WOOD
1000 mt
1
83
1
60
2
167
1
118
4
RECOVERED POST-CONSUMER WOOD
1000 mt
4
RECOVERED POST-CONSUMER WOOD
1000 mt
2
3
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 mt
15
4,421
10
2,550
189
45,971
169
47,813
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 mt
0
0
0
0
0
0
0
0
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 mt
225
191
5.1
WOOD PELLETS
1000 mt
14
4,279
10
2,438
94
25,269
82
24,377
5.1
WOOD PELLETS
1000 mt
5.1
WOOD PELLETS
1000 mt
170
148
5.2
OTHER AGGLOMERATES
1000 mt
0
141
1
113
95
20,702
87
23,436
5.2
OTHER AGGLOMERATES
1000 mt
5.2
OTHER AGGLOMERATES
1000 mt
55
43
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
132
55,837
165
68,302
983
360,196
943
361,918
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
0
0
0
0
0
0
0
0
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
1,051
972
6.C
Coniferous
1000 m3
8
3,305
7
3,936
659
153,275
645
157,460
6.C
Coniferous
1000 m3
6.C
Coniferous
1000 m3
23
72
6.NC
Non-Coniferous
1000 m3
124
52,532
158
64,366
324
206,921
298
204,458
6.NC
Non-Coniferous
1000 m3
6.NC
Non-Coniferous
1000 m3
1,028
900
6.NC.T
of which: Tropical
1000 m3
2
2,825
2
2,603
1
377
1
421
6.NC.T
of which: Tropical
1000 m3
6.NC.T
of which: Tropical
1000 m3
3
2
7
VENEER SHEETS
1000 m3
6
12,738
7
15,507
8
18,757
7
17,971
7
VENEER SHEETS
1000 m3
0
0
0
0
0
0
0
0
7
VENEER SHEETS
1000 m3
25
23
7.C
Coniferous
1000 m3
1
922
1
906
0
20
0
51
7.C
Coniferous
1000 m3
7.C
Coniferous
1000 m3
13
5
7.NC
Non-Coniferous
1000 m3
5
11,816
7
14,601
8
18,737
7
17,921
7.NC
Non-Coniferous
1000 m3
7.NC
Non-Coniferous
1000 m3
12
18
7.NC.T
of which: Tropical
1000 m3
0
420
0
135
0
51
0
217
7.NC.T
of which: Tropical
1000 m3
7.NC.T
of which: Tropical
1000 m3
1
-0
8
WOOD-BASED PANELS
1000 m3
273
135,566
286
146,086
23
28,958
19
24,389
8
WOOD-BASED PANELS
1000 m3
0
0
0
0
0
0
0
0
8
WOOD-BASED PANELS
1000 m3
292
301
8.1
PLYWOOD
1000 m3
13
13,918
14
16,130
21
27,313
16
22,505
8.1
PLYWOOD
1000 m3
0
0
0
0
0
0
0
0
8.1
PLYWOOD
1000 m3
19
22
8.1.C
Coniferous
1000 m3
3
3,013
3
3,131
0
248
0
295
8.1.C
Coniferous
1000 m3
8.1.C
Coniferous
1000 m3
13
7
8.1.NC
Non-Coniferous
1000 m3
10
10,905
12
12,999
21
27,066
16
22,210
8.1.NC
Non-Coniferous
1000 m3
8.1.NC
Non-Coniferous
1000 m3
6
15
8.1.NC.T
of which: Tropical
1000 m3
0
505
0
158
1
915
0
23
8.1.NC.T
of which: Tropical
1000 m3
8.1.NC.T
of which: Tropical
1000 m3
2
2
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
163
71,506
167
76,655
1
721
1
730
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
174
175
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
9
4,162
9
4,652
0
51
0
4
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
12
12
8.3
FIBREBOARD
1000 m3
97
50,142
105
53,300
1
923
2
1,154
8.3
FIBREBOARD
1000 m3
0
0
0
0
0
0
0
0
8.3
FIBREBOARD
1000 m3
98
104
8.3.1
HARDBOARD
1000 m3
12
12,067
11
11,395
0
473
0
597
8.3.1
HARDBOARD
1000 m3
8.3.1
HARDBOARD
1000 m3
12
11
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
79
36,936
86
40,273
1
373
1
458
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
80
86
8.3.3
OTHER FIBREBOARD
1000 m3
6
1,139
7
1,632
0
77
0
99
8.3.3
OTHER FIBREBOARD
1000 m3
8.3.3
OTHER FIBREBOARD
1000 m3
6
7
9
WOOD PULP
1000 mt
42
43,567
40
50,621
0
0
0
36
9
WOOD PULP
1000 mt
0
0
0
0
0
0
0
0
9
WOOD PULP
1000 mt
109
120
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 mt
2
2,286
1
1,148
0
0
0
0
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 mt
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 mt
2
1
9.2
CHEMICAL WOOD PULP
1000 mt
39
41,279
38
49,467
0
0
0
36
9.2
CHEMICAL WOOD PULP
1000 mt
0
0
0
0
0
0
0
0
9.2
CHEMICAL WOOD PULP
1000 mt
107
119
9.2.1
SULPHATE PULP
1000 mt
39
41,261
38
49,441
0
0
0
36
9.2.1
SULPHATE PULP
1000 mt
9.2.1
SULPHATE PULP
1000 mt
107
119
9.2.1.1
of which: BLEACHED
1000 mt
38
39,692
38
49,441
0
0
0
36
9.2.1.1
of which: BLEACHED
1000 mt
9.2.1.1
of which: BLEACHED
1000 mt
38
38
9.2.2
SULPHITE PULP
1000 mt
0
18
0
26
0
0
0
0
9.2.2
SULPHITE PULP
1000 mt
9.2.2
SULPHITE PULP
1000 mt
0
0
9.3
DISSOLVING GRADES
1000 mt
0
1
0
6
0
0
0
0
9.3
DISSOLVING GRADES
1000 mt
9.3
DISSOLVING GRADES
1000 mt
0
0
10
OTHER PULP
1000 mt
0
656
0
756
0
1
0
2
10
OTHER PULP
1000 mt
0
0
0
0
0
0
0
0
10
OTHER PULP
1000 mt
0
0
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 mt
0
68
0
68
0
1
0
0
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 mt
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 mt
0
0
10.2
RECOVERED FIBRE PULP
1000 mt
0
587
0
689
0
0
0
2
10.2
RECOVERED FIBRE PULP
1000 mt
10.2
RECOVERED FIBRE PULP
1000 mt
0
0
11
RECOVERED PAPER
1000 mt
4
1,282
6
1,576
47
13,590
41
11,885
11
RECOVERED PAPER
1000 mt
11
RECOVERED PAPER
1000 mt
17
15
12
PAPER AND PAPERBOARD
1000 mt
98
170,449
106
189,382
105
148,614
113
182,211
12
PAPER AND PAPERBOARD
1000 mt
0
0
0
0
0
0
0
0
12
PAPER AND PAPERBOARD
1000 mt
128
136
12.1
GRAPHIC PAPERS
1000 mt
41
61,161
43
70,387
2
2,831
2
4,324
12.1
GRAPHIC PAPERS
1000 mt
0
0
0
0
0
0
0
0
12.1
GRAPHIC PAPERS
1000 mt
39
41
12.1.1
NEWSPRINT
1000 mt
6
5,353
6
5,426
0
128
0
75
12.1.1
NEWSPRINT
1000 mt
12.1.1
NEWSPRINT
1000 mt
6
6
12.1.2
UNCOATED MECHANICAL
1000 mt
1
1,059
1
1,547
0
43
0
73
12.1.2
UNCOATED MECHANICAL
1000 mt
12.1.2
UNCOATED MECHANICAL
1000 mt
1
1
12.1.3
UNCOATED WOODFREE
1000 mt
19
29,631
21
35,145
1
1,623
1
2,274
12.1.3
UNCOATED WOODFREE
1000 mt
12.1.3
UNCOATED WOODFREE
1000 mt
18
20
12.1.4
COATED PAPERS
1000 mt
15
25,118
15
28,269
1
1,037
1
1,902
12.1.4
COATED PAPERS
1000 mt
12.1.4
COATED PAPERS
1000 mt
14
14
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 mt
12
19,945
13
25,632
25
44,559
21
42,589
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 mt
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 mt
14
16
12.3
PACKAGING MATERIALS
1000 mt
43
74,443
48
80,495
78
96,795
89
131,597
12.3
PACKAGING MATERIALS
1000 mt
0
0
0
0
0
0
0
0
12.3
PACKAGING MATERIALS
1000 mt
72
77
12.3.1
CASE MATERIALS
1000 mt
7
5,811
7
6,440
13
8,696
14
10,426
12.3.1
CASE MATERIALS
1000 mt
12.3.1
CASE MATERIALS
1000 mt
7
9
12.3.2
CARTONBOARD
1000 mt
14
38,369
14
36,858
1
1,463
1
1,710
12.3.2
CARTONBOARD
1000 mt
12.3.2
CARTONBOARD
1000 mt
25
25
12.3.3
WRAPPING PAPERS
1000 mt
21
27,961
25
35,016
64
86,629
75
119,411
12.3.3
WRAPPING PAPERS
1000 mt
12.3.3
WRAPPING PAPERS
1000 mt
38
40
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 mt
3
2,302
2
2,181
0
7
0
51
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 mt
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 mt
3
2
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 mt
2
14,900
2
12,867
1
4,427
0
3,701
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 mt
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
Light blue cells are requested only for EU members using the Combined Nomenclature to fill in - other countries are welcome to do so if their trade classification nomenclature permits
"ex" codes indicate that only part of that trade classication code is used
Please note that information on tropical species trade is requested in questionnaire ITTO2 for ITTO member countries
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017 or SITC Rev.4 code is applicable.
For instance "ex4401.40" under product 3.2 means that only a part of HS2017 code 4401.40 refers to wood residues coming from wood processing (the other part coded under 4401.40 is recovered post-consumer wood).
In SITC Rev.4, if only 4 digits are shown, then all sub-headings at lower degrees of aggregation are included (for example, 634.1 includes 634.11 and 634.12).
OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE
48.14/16/17/20/21/22/23
48.14/16/17/20/21/22/23
641.94 642.2 642.3 642.42/45/91/93/99 892.81
14.5.1
of which: PRINTING AND WRITING PAPER, READY FOR USE
ex4823.90
ex4823.90
ex642.99
14.5.2
of which: ARTICLES, MOULDED OR PRESSED FROM PULP
4823.70
4823.70
ex642.99
14.5.3
of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
4823.20
4823.20
642.45
Notes:
The term "ex" means that there is not a complete correlation between the two codes and that only a part of the HS2012/HS2017 or SITC Rev.4 code is applicable.
For instance "ex811.00" under "Prefabricated buildings of wood" means that only a part of SITC code 811.00 refers to buildings prefabricated from wood, as that code does not distinguish between the materials buildings were prefabricated from.
In SITC Rev.4, if only 4 digits are shown, then all subheadings at lower degrees of aggregation are included (for example, 892.2 includes 892.21 and 892.29).
Annex4 |JQ2-JQ3-Corres.
JQ Product code
Nomenclature
HS Code
Remarks on HS codes
1
HS2002
440110
1
HS2002
4403
1
HS2007
440110
1
HS2007
4403
1
HS2012
440110
1
HS2012
4403
1
HS2017
440111
1
HS2017
440112
1
HS2017
4403
1.1
HS2002
440110
1.1
HS2007
440110
1.1
HS2012
440110
1.1
HS2017
440111
1.1
HS2017
440112
1.1C
HS2002
440110
Only some part of it
1.1C
HS2007
440110
Only some part of it
1.1C
HS2012
440110
Only some part of it
1.1C
HS2017
440111
1.1NC
HS2002
440110
Only some part of it
1.1NC
HS2007
440110
Only some part of it
1.1NC
HS2012
440110
Only some part of it
1.1NC
HS2017
440112
1.2
HS2002
4403
1.2
HS2007
4403
1.2
HS2012
4403
1.2
HS2017
4403
1.2.C
HS2002
440310
Only some part of it
1.2.C
HS2002
440320
1.2.C
HS2007
440310
Only some part of it
1.2.C
HS2007
440320
1.2.C
HS2012
440310
Only some part of it
1.2.C
HS2012
440320
1.2.C
HS2017
440311
1.2.C
HS2017
440321
1.2.C
HS2017
440322
1.2.C
HS2017
440323
1.2.C
HS2017
440324
1.2.C
HS2017
440325
1.2.C
HS2017
440326
1.2.NC
HS2002
440310
Only some part of it
1.2.NC
HS2002
440341
1.2.NC
HS2002
440349
1.2.NC
HS2002
440391
1.2.NC
HS2002
440392
1.2.NC
HS2002
440399
1.2.NC
HS2007
440310
Only some part of it
1.2.NC
HS2007
440341
1.2.NC
HS2007
440349
1.2.NC
HS2007
440391
1.2.NC
HS2007
440392
1.2.NC
HS2007
440399
1.2.NC
HS2012
440310
Only some part of it
1.2.NC
HS2012
440341
1.2.NC
HS2012
440349
1.2.NC
HS2012
440391
1.2.NC
HS2012
440392
1.2.NC
HS2012
440399
1.2.NC
HS2017
440312
1.2.NC
HS2017
440341
1.2.NC
HS2017
440349
1.2.NC
HS2017
440391
1.2.NC
HS2017
440393
1.2.NC
HS2017
440394
1.2.NC
HS2017
440395
1.2.NC
HS2017
440396
1.2.NC
HS2017
440397
1.2.NC
HS2017
440398
1.2.NC
HS2017
440399
1.2.NC.T
HS2002
440310
Only some part of it
1.2.NC.T
HS2002
440341
1.2.NC.T
HS2002
440349
1.2.NC.T
HS2002
440399
Only some part of it
1.2.NC.T
HS2007
440310
Only some part of it
1.2.NC.T
HS2007
440341
1.2.NC.T
HS2007
440349
1.2.NC.T
HS2007
440399
Only some part of it
1.2.NC.T
HS2012
440310
Only some part of it
1.2.NC.T
HS2012
440341
1.2.NC.T
HS2012
440349
1.2.NC.T
HS2012
440399
Only some part of it
1.2.NC.T
HS2017
440312
Only some part of it
1.2.NC.T
HS2017
440341
1.2.NC.T
HS2017
440349
2
HS2002
440200
Only some part of it
2
HS2007
440290
2
HS2012
440290
2
HS2017
440290
3
HS2002
440121
3
HS2002
440122
3
HS2002
440130
Only some part of it
3
HS2007
440121
3
HS2007
440122
3
HS2007
440130
Only some part of it
3
HS2012
440121
3
HS2012
440122
3
HS2012
440139
Only some part of it
3
HS2017
440121
3
HS2017
440122
3
HS2017
440140
3.1
HS2002
440121
3.1
HS2002
440122
3.1
HS2007
440121
3.1
HS2007
440122
3.1
HS2012
440121
3.1
HS2012
440122
3.1
HS2017
440121
3.1
HS2017
440122
3.2
HS2002
440130
Only some part of it
3.2
HS2012
440130
Only some part of it
3.2
HS2012
440139
Only some part of it
3.2
HS2017
440140
Only some part of it
4
HS2002
440130
Only some part of it
4
HS2007
440130
Only some part of it
4
HS2012
440139
Only some part of it
4
HS2017
440140
Only some part of it
5
HS2002
440130
Only some part of it
5
HS2007
440130
Only some part of it
5
HS2012
440131
5
HS2012
440139
Only some part of it
5
HS2017
440131
5
HS2017
440139
5.1
HS2002
440130
Only some part of it
5.1
HS2007
440130
Only some part of it
5.1
HS2012
440131
5.1
HS2017
440131
5.2
HS2002
440130
Only some part of it
5.2
HS2007
440130
Only some part of it
5.2
HS2012
440139
Only some part of it
5.2
HS2017
440139
6
HS2002
4406
6
HS2002
4407
6
HS2007
4406
6
HS2007
4407
6
HS2012
4406
6
HS2012
4407
6
HS2017
4406
6
HS2017
4407
6.C
HS2002
440610
Only some part of it
6.C
HS2002
440690
Only some part of it
6.C
HS2002
440710
6.C
HS2007
440610
Only some part of it
6.C
HS2007
440690
Only some part of it
6.C
HS2007
440710
6.C
HS2012
440610
Only some part of it
6.C
HS2012
440690
Only some part of it
6.C
HS2012
440710
6.C
HS2017
440611
6.C
HS2017
440691
6.C
HS2017
440711
6.C
HS2017
440712
6.C
HS2017
440719
6.NC
HS2002
440610
Only some part of it
6.NC
HS2002
440690
Only some part of it
6.NC
HS2002
440724
6.NC
HS2002
440725
6.NC
HS2002
440726
6.NC
HS2002
440729
6.NC
HS2002
440791
6.NC
HS2002
440792
6.NC
HS2002
440799
6.NC
HS2007
440610
Only some part of it
6.NC
HS2007
440690
Only some part of it
6.NC
HS2007
440721
6.NC
HS2007
440722
6.NC
HS2007
440725
6.NC
HS2007
440726
6.NC
HS2007
440727
6.NC
HS2007
440728
6.NC
HS2007
440729
6.NC
HS2007
440791
6.NC
HS2007
440792
6.NC
HS2007
440793
6.NC
HS2007
440794
6.NC
HS2007
440795
6.NC
HS2007
440799
6.NC
HS2012
440610
Only some part of it
6.NC
HS2012
440690
Only some part of it
6.NC
HS2012
440721
6.NC
HS2012
440722
6.NC
HS2012
440725
6.NC
HS2012
440726
6.NC
HS2012
440727
6.NC
HS2012
440728
6.NC
HS2012
440729
6.NC
HS2012
440791
6.NC
HS2012
440792
6.NC
HS2012
440793
6.NC
HS2012
440794
6.NC
HS2012
440795
6.NC
HS2012
440799
6.NC
HS2017
4406.12
6.NC
HS2017
4406.92
6.NC
HS2017
4407.21
6.NC
HS2017
4407.22
6.NC
HS2017
4407.25
6.NC
HS2017
4407.26
6.NC
HS2017
4407.27
6.NC
HS2017
4407.28
6.NC
HS2017
4407.29
6.NC
HS2017
4407.91
6.NC
HS2017
4407.92
6.NC
HS2017
4407.93
6.NC
HS2017
4407.94
6.NC
HS2017
4407.95
6.NC
HS2017
4407.96
6.NC
HS2017
4407.97
6.NC
HS2017
4407.99
6.NC.T
HS2002
440610
Only some part of it
6.NC.T
HS2002
440690
Only some part of it
6.NC.T
HS2002
440724
6.NC.T
HS2002
440725
6.NC.T
HS2002
440726
6.NC.T
HS2002
440729
6.NC.T
HS2002
440799
Only some part of it
6.NC.T
HS2007
440610
Only some part of it
6.NC.T
HS2007
440690
Only some part of it
6.NC.T
HS2007
440721
6.NC.T
HS2007
440722
6.NC.T
HS2007
440725
6.NC.T
HS2007
440726
6.NC.T
HS2007
440727
6.NC.T
HS2007
440728
6.NC.T
HS2007
440729
6.NC.T
HS2007
440799
Only some part of it
6.NC.T
HS2012
440610
Only some part of it
6.NC.T
HS2012
440690
Only some part of it
6.NC.T
HS2012
440721
6.NC.T
HS2012
440722
6.NC.T
HS2012
440725
6.NC.T
HS2012
440726
6.NC.T
HS2012
440727
6.NC.T
HS2012
440728
6.NC.T
HS2012
440729
6.NC.T
HS2012
440799
Only some part of it
6.NC.T
HS2017
440612
Only some part of it
6.NC.T
HS2017
440692
Only some part of it
6.NC.T
HS2017
440721
6.NC.T
HS2017
440722
6.NC.T
HS2017
440725
6.NC.T
HS2017
440726
6.NC.T
HS2017
440727
6.NC.T
HS2017
440728
6.NC.T
HS2017
440729
7
HS2002
4408
7
HS2007
4408
7
HS2012
4408
7
HS2017
4408
7.C
HS2002
440810
7.C
HS2007
440810
7.C
HS2012
440810
7.C
HS2017
440810
7.NC
HS2002
440831
7.NC
HS2002
440839
7.NC
HS2002
440890
7.NC
HS2007
440831
7.NC
HS2007
440839
7.NC
HS2007
440890
7.NC
HS2012
440831
7.NC
HS2012
440839
7.NC
HS2012
440890
7.NC
HS2017
440831
7.NC
HS2017
440839
7.NC
HS2017
440890
7.NC.T
HS2002
440831
7.NC.T
HS2002
440839
7.NC.T
HS2002
440890
Only some part of it
7.NC.T
HS2007
440831
7.NC.T
HS2007
440839
7.NC.T
HS2007
440890
Only some part of it
7.NC.T
HS2012
440831
7.NC.T
HS2012
440839
7.NC.T
HS2012
440890
Only some part of it
7.NC.T
HS2017
440831
7.NC.T
HS2017
440839
8
HS2002
4410
8
HS2002
4411
8
HS2002
441213
8
HS2002
441214
8
HS2002
441219
8
HS2002
441299
Only some part of it
8
HS2007
4410
8
HS2007
4411
8
HS2007
441231
8
HS2007
441232
8
HS2007
441239
8
HS2007
441294
8
HS2007
441299
8
HS2012
4410
8
HS2012
4411
8
HS2012
441231
8
HS2012
441232
8
HS2012
441239
8
HS2012
441294
8
HS2012
441299
8
HS2017
4410
8
HS2017
4411
8
HS2017
441231
8
HS2017
441233
8
HS2017
441234
8
HS2017
441239
8
HS2017
441294
8
HS2017
441299
8.1
HS2002
441213
8.1
HS2002
441214
8.1
HS2002
441219
8.1
HS2002
441299
Only some part of it
8.1
HS2007
441231
8.1
HS2007
441232
8.1
HS2007
441239
8.1
HS2007
441294
8.1
HS2007
441299
8.1
HS2012
441231
8.1
HS2012
441232
8.1
HS2012
441239
8.1
HS2012
441294
8.1
HS2012
441299
8.1
HS2017
441231
8.1
HS2017
441233
8.1
HS2017
441234
8.1
HS2017
441239
8.1
HS2017
441294
8.1
HS2017
441299
8.1.C
HS2002
441219
8.1.C
HS2002
441299
Only some part of it
8.1.C
HS2007
441239
8.1.C
HS2007
441294
Only some part of it
8.1.C
HS2007
441299
Only some part of it
8.1.C
HS2012
441239
8.1.C
HS2012
441294
Only some part of it
8.1.C
HS2012
441299
Only some part of it
8.1.C
HS2017
441239
8.1.C
HS2017
441294
Only some part of it
8.1.C
HS2017
441299
Only some part of it
8.1.NC
HS2002
441213
8.1.NC
HS2002
441214
8.1.NC
HS2002
441299
Only some part of it
8.1.NC
HS2007
441231
8.1.NC
HS2007
441232
8.1.NC
HS2007
441294
Only some part of it
8.1.NC
HS2007
441299
Only some part of it
8.1.NC
HS2012
441231
8.1.NC
HS2012
441232
8.1.NC
HS2012
441294
Only some part of it
8.1.NC
HS2012
441299
Only some part of it
8.1.NC
HS2017
441231
8.1.NC
HS2017
441233
8.1.NC
HS2017
441234
8.1.NC
HS2017
441294
Only some part of it
8.1.NC
HS2017
441299
Only some part of it
8.1.NC.T
HS2002
441213
8.1.NC.T
HS2002
441214
Only some part of it
8.1.NC.T
HS2002
441299
Only some part of it
8.1.NC.T
HS2007
441231
8.1.NC.T
HS2007
441232
Only some part of it
8.1.NC.T
HS2007
441294
Only some part of it
8.1.NC.T
HS2007
441299
Only some part of it
8.1.NC.T
HS2012
441231
8.1.NC.T
HS2012
441232
Only some part of it
8.1.NC.T
HS2012
441294
Only some part of it
8.1.NC.T
HS2012
441299
Only some part of it
8.1.NC.T
HS2017
441231
8.1.NC.T
HS2017
441294
Only some part of it
8.1.NC.T
HS2017
441299
Only some part of it
8.2
HS2002
4410
8.2
HS2007
4410
8.2
HS2012
4410
8.2
HS2017
4410
8.2.1
HS2002
441021
Only some part of it
8.2.1
HS2002
441029
Only some part of it
8.2.1
HS2007
441012
8.2.1
HS2012
441012
8.2.1
HS2017
441012
8.3
HS2002
4411
8.3
HS2007
4411
8.3
HS2012
4411
8.3
HS2017
4411
8.3.1
HS2002
441111
Only some part of it
8.3.1
HS2002
441119
Only some part of it
8.3.1
HS2007
441192
8.3.1
HS2012
441192
8.3.1
HS2017
441192
8.3.2
HS2002
441111
Only some part of it
8.3.2
HS2002
441119
Only some part of it
8.3.2
HS2002
441121
Only some part of it
8.3.2
HS2002
441129
Only some part of it
8.3.2
HS2007
441112
8.3.2
HS2007
441113
8.3.2
HS2007
441114
Only some part of it
8.3.2
HS2012
441112
8.3.2
HS2012
441113
8.3.2
HS2012
441114
Only some part of it
8.3.2
HS2017
441112
8.3.2
HS2017
441113
8.3.2
HS2017
441114
Only some part of it
8.3.3
HS2002
441131
8.3.3
HS2002
441139
8.3.3
HS2002
441191
8.3.3
HS2002
441199
8.3.3
HS2007
441114
Only some part of it
8.3.3
HS2007
441193
8.3.3
HS2007
441194
8.3.3
HS2012
441114
Only some part of it
8.3.3
HS2012
441193
8.3.3
HS2012
441194
8.3.3
HS2017
441114
Only some part of it
8.3.3
HS2017
441193
8.3.3
HS2017
441194
9
HS2002
4701
9
HS2002
4702
9
HS2002
4703
9
HS2002
4704
9
HS2002
4705
9
HS2007
4701
9
HS2007
4702
9
HS2007
4703
9
HS2007
4704
9
HS2007
4705
9
HS2012
4701
9
HS2012
4702
9
HS2012
4703
9
HS2012
4704
9
HS2012
4705
9
HS2017
4701
9
HS2017
4702
9
HS2017
4703
9
HS2017
4704
9
HS2017
4705
9.1
HS2002
4701
9.1
HS2002
4705
9.1
HS2007
4701
9.1
HS2007
4705
9.1
HS2012
4701
9.1
HS2012
4705
9.1
HS2017
4701
9.1
HS2017
4705
9.2
HS2002
4703
9.2
HS2002
4704
9.2
HS2007
4703
9.2
HS2007
4704
9.2
HS2012
4703
9.2
HS2012
4704
9.2
HS2017
4703
9.2
HS2017
4704
9.2.1
HS2002
4703
9.2.1
HS2007
4703
9.2.1
HS2012
4703
9.2.1
HS2017
4703
9.2.1.1
HS2002
470321
9.2.1.1
HS2002
470329
9.2.1.1
HS2007
470321
9.2.1.1
HS2007
470329
9.2.1.1
HS2012
470321
9.2.1.1
HS2012
470329
9.2.1.1
HS2017
470321
9.2.1.1
HS2017
470329
9.2.2
HS2002
4704
9.2.2
HS2007
4704
9.2.2
HS2012
4704
9.2.2
HS2017
4704
9.3
HS2002
4702
9.3
HS2007
4702
9.3
HS2012
4702
9.3
HS2017
4702
10
HS2002
4706
10
HS2007
4706
10
HS2012
4706
10
HS2017
4706
10.1
HS2002
470610
10.1
HS2002
470691
10.1
HS2002
470692
10.1
HS2002
470693
10.1
HS2007
470610
10.1
HS2007
470630
10.1
HS2007
470691
10.1
HS2007
470692
10.1
HS2007
470693
10.1
HS2012
470610
10.1
HS2012
470630
10.1
HS2012
470691
10.1
HS2012
470692
10.1
HS2012
470693
10.1
HS2017
470610
10.1
HS2017
470630
10.1
HS2017
470691
10.1
HS2017
470692
10.1
HS2017
470693
10.2
HS2002
470620
10.2
HS2007
470620
10.2
HS2012
470620
10.2
HS2017
470620
11
HS2002
4707
11
HS2007
4707
11
HS2012
4707
11
HS2017
4707
12
HS2002
4801
12
HS2002
4802
12
HS2002
4803
12
HS2002
4804
12
HS2002
4805
12
HS2002
4806
12
HS2002
4808
12
HS2002
4809
12
HS2002
4810
12
HS2002
481151
12
HS2002
481159
12
HS2002
4812
12
HS2002
4813
12
HS2007
4801
12
HS2007
4802
12
HS2007
4803
12
HS2007
4804
12
HS2007
4805
12
HS2007
4806
12
HS2007
4808
12
HS2007
4809
12
HS2007
4810
12
HS2007
481151
12
HS2007
481159
12
HS2007
4812
12
HS2007
4813
12
HS2012
4801
12
HS2012
4802
12
HS2012
4803
12
HS2012
4804
12
HS2012
4805
12
HS2012
4806
12
HS2012
4808
12
HS2012
4809
12
HS2012
4810
12
HS2012
481151
12
HS2012
481159
12
HS2012
4812
12
HS2012
4813
12
HS2017
4801
12
HS2017
4802
12
HS2017
4803
12
HS2017
4804
12
HS2017
4805
12
HS2017
4806
12
HS2017
4808
12
HS2017
4809
12
HS2017
4810
12
HS2017
481151
12
HS2017
481159
12
HS2017
4812
12
HS2017
4813
12.1
HS2002
4801
12.1
HS2002
480210
12.1
HS2002
480220
12.1
HS2002
480254
12.1
HS2002
480255
12.1
HS2002
480256
12.1
HS2002
480257
12.1
HS2002
480258
12.1
HS2002
480261
12.1
HS2002
480262
12.1
HS2002
480269
12.1
HS2002
4809
12.1
HS2002
481013
12.1
HS2002
481014
12.1
HS2002
481019
12.1
HS2002
481022
12.1
HS2002
481029
12.1
HS2007
4801
12.1
HS2007
480210
12.1
HS2007
480220
12.1
HS2007
480254
12.1
HS2007
480255
12.1
HS2007
480256
12.1
HS2007
480257
12.1
HS2007
480258
12.1
HS2007
480261
12.1
HS2007
480262
12.1
HS2007
480269
12.1
HS2007
4809
12.1
HS2007
481013
12.1
HS2007
481014
12.1
HS2007
481019
12.1
HS2007
481022
12.1
HS2007
481029
12.1
HS2012
4801
12.1
HS2012
480210
12.1
HS2012
480220
12.1
HS2012
480254
12.1
HS2012
480255
12.1
HS2012
480256
12.1
HS2012
480257
12.1
HS2012
480258
12.1
HS2012
480261
12.1
HS2012
480262
12.1
HS2012
480269
12.1
HS2012
4809
12.1
HS2012
481013
12.1
HS2012
481014
12.1
HS2012
481019
12.1
HS2012
481022
12.1
HS2012
481029
12.1
HS2017
4801
12.1
HS2017
480210
12.1
HS2017
480220
12.1
HS2017
480254
12.1
HS2017
480255
12.1
HS2017
480256
12.1
HS2017
480257
12.1
HS2017
480258
12.1
HS2017
480261
12.1
HS2017
480262
12.1
HS2017
480269
12.1
HS2017
4809
12.1
HS2017
481013
12.1
HS2017
481014
12.1
HS2017
481019
12.1
HS2017
481022
12.1
HS2017
481029
12.1.1
HS2002
4801
12.1.1
HS2007
4801
12.1.1
HS2012
4801
12.1.1
HS2017
4801
12.1.2
HS2002
480261
12.1.2
HS2002
480262
12.1.2
HS2002
480269
12.1.2
HS2007
480261
12.1.2
HS2007
480262
12.1.2
HS2007
480269
12.1.2
HS2012
480261
12.1.2
HS2012
480262
12.1.2
HS2012
480269
12.1.2
HS2017
480261
12.1.2
HS2017
480262
12.1.2
HS2017
480269
12.1.3
HS2002
480210
12.1.3
HS2002
480220
12.1.3
HS2002
480254
12.1.3
HS2002
480255
12.1.3
HS2002
480256
12.1.3
HS2002
480257
12.1.3
HS2002
480258
12.1.3
HS2007
480210
12.1.3
HS2007
480220
12.1.3
HS2007
480254
12.1.3
HS2007
480255
12.1.3
HS2007
480256
12.1.3
HS2007
480257
12.1.3
HS2007
480258
12.1.3
HS2012
480210
12.1.3
HS2012
480220
12.1.3
HS2012
480254
12.1.3
HS2012
480255
12.1.3
HS2012
480256
12.1.3
HS2012
480257
12.1.3
HS2012
480258
12.1.3
HS2017
480210
12.1.3
HS2017
480220
12.1.3
HS2017
480254
12.1.3
HS2017
480255
12.1.3
HS2017
480256
12.1.3
HS2017
480257
12.1.3
HS2017
480258
12.1.4
HS2002
4809
12.1.4
HS2002
481013
12.1.4
HS2002
481014
12.1.4
HS2002
481019
12.1.4
HS2002
481022
12.1.4
HS2002
481029
12.1.4
HS2007
4809
12.1.4
HS2007
481013
12.1.4
HS2007
481014
12.1.4
HS2007
481019
12.1.4
HS2007
481022
12.1.4
HS2007
481029
12.1.4
HS2012
4809
12.1.4
HS2012
481013
12.1.4
HS2012
481014
12.1.4
HS2012
481019
12.1.4
HS2012
481022
12.1.4
HS2012
481029
12.1.4
HS2017
4809
12.1.4
HS2017
481013
12.1.4
HS2017
481014
12.1.4
HS2017
481019
12.1.4
HS2017
481022
12.1.4
HS2017
481029
12.2
HS2002
4803
12.2
HS2007
4803
12.2
HS2012
4803
12.2
HS2017
4803
12.3
HS2002
480411
12.3
HS2002
480419
12.3
HS2002
480421
12.3
HS2002
480429
12.3
HS2002
480431
12.3
HS2002
480439
12.3
HS2002
480442
12.3
HS2002
480449
12.3
HS2002
480451
12.3
HS2002
480452
12.3
HS2002
480459
12.3
HS2002
480511
12.3
HS2002
480512
12.3
HS2002
480519
12.3
HS2002
480524
12.3
HS2002
480525
12.3
HS2002
480530
12.3
HS2002
480591
12.3
HS2002
480592
12.3
HS2002
480593
12.3
HS2002
480610
12.3
HS2002
480620
12.3
HS2002
480640
12.3
HS2002
4808
12.3
HS2002
481031
12.3
HS2002
481032
12.3
HS2002
481039
12.3
HS2002
481092
12.3
HS2002
481099
12.3
HS2002
481151
12.3
HS2002
481159
12.3
HS2007
480411
12.3
HS2007
480419
12.3
HS2007
480421
12.3
HS2007
480429
12.3
HS2007
480431
12.3
HS2007
480439
12.3
HS2007
480442
12.3
HS2007
480449
12.3
HS2007
480451
12.3
HS2007
480452
12.3
HS2007
480459
12.3
HS2007
480511
12.3
HS2007
480512
12.3
HS2007
480519
12.3
HS2007
480524
12.3
HS2007
480525
12.3
HS2007
480530
12.3
HS2007
480591
12.3
HS2007
480592
12.3
HS2007
480593
12.3
HS2007
480610
12.3
HS2007
480620
12.3
HS2007
480640
12.3
HS2007
4808
12.3
HS2007
481031
12.3
HS2007
481032
12.3
HS2007
481039
12.3
HS2007
481092
12.3
HS2007
481099
12.3
HS2007
481151
12.3
HS2007
481159
12.3
HS2012
480411
12.3
HS2012
480419
12.3
HS2012
480421
12.3
HS2012
480429
12.3
HS2012
480431
12.3
HS2012
480439
12.3
HS2012
480442
12.3
HS2012
480449
12.3
HS2012
480451
12.3
HS2012
480452
12.3
HS2012
480459
12.3
HS2012
480511
12.3
HS2012
480512
12.3
HS2012
480519
12.3
HS2012
480524
12.3
HS2012
480525
12.3
HS2012
480530
12.3
HS2012
480591
12.3
HS2012
480592
12.3
HS2012
480593
12.3
HS2012
480610
12.3
HS2012
480620
12.3
HS2012
480640
12.3
HS2012
4808
12.3
HS2012
481031
12.3
HS2012
481032
12.3
HS2012
481039
12.3
HS2012
481092
12.3
HS2012
481099
12.3
HS2012
481151
12.3
HS2012
481159
12.3
HS2017
480411
12.3
HS2017
480419
12.3
HS2017
480421
12.3
HS2017
480429
12.3
HS2017
480431
12.3
HS2017
480439
12.3
HS2017
480442
12.3
HS2017
480449
12.3
HS2017
480451
12.3
HS2017
480452
12.3
HS2017
480459
12.3
HS2017
480511
12.3
HS2017
480512
12.3
HS2017
480519
12.3
HS2017
480524
12.3
HS2017
480525
12.3
HS2017
480530
12.3
HS2017
480591
12.3
HS2017
480592
12.3
HS2017
480593
12.3
HS2017
480610
12.3
HS2017
480620
12.3
HS2017
480640
12.3
HS2017
4808
12.3
HS2017
481031
12.3
HS2017
481032
12.3
HS2017
481039
12.3
HS2017
481092
12.3
HS2017
481099
12.3
HS2017
481151
12.3
HS2017
481159
12.3.1
HS2002
480411
12.3.1
HS2002
480419
12.3.1
HS2002
480511
12.3.1
HS2002
480512
12.3.1
HS2002
480519
12.3.1
HS2002
480524
12.3.1
HS2002
480525
12.3.1
HS2002
480591
12.3.1
HS2007
480411
12.3.1
HS2007
480419
12.3.1
HS2007
480511
12.3.1
HS2007
480512
12.3.1
HS2007
480519
12.3.1
HS2007
480524
12.3.1
HS2007
480525
12.3.1
HS2007
480591
12.3.1
HS2012
480411
12.3.1
HS2012
480419
12.3.1
HS2012
480511
12.3.1
HS2012
480512
12.3.1
HS2012
480519
12.3.1
HS2012
480524
12.3.1
HS2012
480525
12.3.1
HS2012
480591
12.3.2
HS2002
480442
12.3.2
HS2002
480449
12.3.2
HS2002
480451
12.3.2
HS2002
480452
12.3.2
HS2002
480459
12.3.2
HS2002
480592
12.3.2
HS2002
481032
12.3.2
HS2002
481039
12.3.2
HS2002
481092
12.3.2
HS2002
481151
12.3.2
HS2002
481159
12.3.2
HS2007
480442
12.3.2
HS2007
480449
12.3.2
HS2007
480451
12.3.2
HS2007
480452
12.3.2
HS2007
480459
12.3.2
HS2007
480592
12.3.2
HS2007
481032
12.3.2
HS2007
481039
12.3.2
HS2007
481092
12.3.2
HS2007
481151
12.3.2
HS2007
481159
12.3.2
HS2012
480442
12.3.2
HS2012
480449
12.3.2
HS2012
480451
12.3.2
HS2012
480452
12.3.2
HS2012
480459
12.3.2
HS2012
480592
12.3.2
HS2012
481032
12.3.2
HS2012
481039
12.3.2
HS2012
481092
12.3.2
HS2012
481151
12.3.2
HS2012
481159
12.3.2
HS2017
480442
12.3.2
HS2017
480449
12.3.2
HS2017
480451
12.3.2
HS2017
480452
12.3.2
HS2017
480459
12.3.2
HS2017
480592
12.3.2
HS2017
481032
12.3.2
HS2017
481039
12.3.2
HS2017
481092
12.3.2
HS2017
481151
12.3.2
HS2017
481159
12.3.3
HS2002
480421
12.3.3
HS2002
480429
12.3.3
HS2002
480431
12.3.3
HS2002
480439
12.3.3
HS2002
480530
12.3.3
HS2002
480610
12.3.3
HS2002
480620
12.3.3
HS2002
480640
12.3.3
HS2002
4808
12.3.3
HS2002
481031
12.3.3
HS2002
481099
12.3.3
HS2007
480421
12.3.3
HS2007
480429
12.3.3
HS2007
480431
12.3.3
HS2007
480439
12.3.3
HS2007
480530
12.3.3
HS2007
480610
12.3.3
HS2007
480620
12.3.3
HS2007
480640
12.3.3
HS2007
4808
12.3.3
HS2007
481031
12.3.3
HS2007
481099
12.3.3
HS2012
480421
12.3.3
HS2012
480429
12.3.3
HS2012
480431
12.3.3
HS2012
480439
12.3.3
HS2012
480530
12.3.3
HS2012
480610
12.3.3
HS2012
480620
12.3.3
HS2012
480640
12.3.3
HS2012
4808
12.3.3
HS2012
481031
12.3.3
HS2012
481099
12.3.3
HS2017
480421
12.3.3
HS2017
480429
12.3.3
HS2017
480431
12.3.3
HS2017
480439
12.3.3
HS2017
480530
12.3.3
HS2017
480610
12.3.3
HS2017
480620
12.3.3
HS2017
480640
12.3.3
HS2017
4808
12.3.3
HS2017
481031
12.3.3
HS2017
481099
12.3.4
HS2002
480593
12.3.4
HS2007
480593
12.3.4
HS2012
480593
12.3.4
HS2017
480593
12.4
HS2002
480240
12.4
HS2002
480441
12.4
HS2002
480540
12.4
HS2002
480550
12.4
HS2002
480630
12.4
HS2002
4812
12.4
HS2002
4813
12.4
HS2007
480240
12.4
HS2007
480441
12.4
HS2007
480540
12.4
HS2007
480550
12.4
HS2007
480630
12.4
HS2007
4812
12.4
HS2007
4813
12.4
HS2012
480240
12.4
HS2012
480441
12.4
HS2012
480540
12.4
HS2012
480550
12.4
HS2012
480630
12.4
HS2012
4812
12.4
HS2012
4813
12.4
HS2017
480240
12.4
HS2017
480441
12.4
HS2017
480540
12.4
HS2017
480550
12.4
HS2017
480630
12.4
HS2017
4812
12.4
HS2017
4813
13.1
HS2002
440910
13.1
HS2002
440920
Only some part of it
13.1
HS2007
440910
13.1
HS2007
440929
13.1
HS2012
440910
13.1
HS2012
440929
13.1
HS2017
440910
13.1
HS2017
440922
13.1
HS2017
440929
13.1.C
HS2002
440910
13.1.C
HS2007
440910
13.1.C
HS2012
440910
13.1.C
HS2017
440910
13.1.NC
HS2002
440920
Only some part of it
13.1.NC
HS2007
440929
13.1.NC
HS2012
440929
13.1.NC
HS2017
440922
13.1.NC
HS2017
440929
13.1.NC.T
HS2002
440920
Only some part of it
13.1.NC.T
HS2007
440929
Only some part of it
13.1.NC.T
HS2012
440929
Only some part of it
13.1.NC.T
HS2017
440922
13.2
HS2002
4415
13.2
HS2002
4416
13.2
HS2007
4415
13.2
HS2007
4416
13.2
HS2012
4415
13.2
HS2012
4416
13.2
HS2017
4415
13.2
HS2017
4416
13.3
HS2002
4414
13.3
HS2002
4419
Only some part of it
13.3
HS2002
4420
13.3
HS2007
4414
13.3
HS2007
4419
Only some part of it
13.3
HS2007
4420
13.3
HS2012
4414
13.3
HS2012
4419
Only some part of it
13.3
HS2012
4420
13.3
HS2017
4414
13.3
HS2017
441990
13.3
HS2017
4420
13.4
HS2002
441810
13.4
HS2002
441820
13.4
HS2002
441830
13.4
HS2002
441840
13.4
HS2002
441850
13.4
HS2002
441890
Only some part of it
13.4
HS2007
441810
13.4
HS2007
481820
13.4
HS2007
441840
13.4
HS2007
441850
13.4
HS2007
441860
13.4
HS2007
441871
Only some part of it
13.4
HS2007
441872
Only some part of it
13.4
HS2007
441879
Only some part of it
13.4
HS2007
441890
Only some part of it
13.4
HS2012
441810
13.4
HS2012
441820
13.4
HS2012
441840
13.4
HS2012
441850
13.4
HS2012
441860
13.4
HS2012
441871
Only some part of it
13.4
HS2012
441872
Only some part of it
13.4
HS2012
441879
Only some part of it
13.4
HS2012
441890
Only some part of it
13.4
HS2017
441810
13.4
HS2017
441820
13.4
HS2017
441840
13.4
HS2017
441850
13.4
HS2017
441860
13.4
HS2017
441874
13.4
HS2017
441875
13.4
HS2017
441879
13.4
HS2017
441899
13.5
HS2002
940161
13.5
HS2002
940169
13.5
HS2002
940190
Only some part of it
13.5
HS2002
940330
13.5
HS2002
940340
13.5
HS2002
940350
13.5
HS2002
940360
13.5
HS2002
940390
Only some part of it
13.5
HS2007
940161
13.5
HS2007
940169
13.5
HS2007
940190
Only some part of it
13.5
HS2007
940330
13.5
HS2007
940340
13.5
HS2007
940350
13.5
HS2007
940360
13.5
HS2007
940390
Only some part of it
13.5
HS2012
940161
13.5
HS2012
940169
13.5
HS2012
940190
Only some part of it
13.5
HS2012
940330
13.5
HS2012
940340
13.5
HS2012
940350
13.5
HS2012
940360
13.5
HS2012
940390
Only some part of it
13.5
HS2017
940161
13.5
HS2017
940169
13.5
HS2017
940190
Only some part of it
13.5
HS2017
940330
13.5
HS2017
940340
13.5
HS2017
940350
13.5
HS2017
940360
13.5
HS2017
940390
Only some part of it
13.6
HS2002
9406
Only some part of it
13.6
HS2007
9406
Only some part of it
13.6
HS2012
9406
Only some part of it
13.6
HS2017
940610
13.7
HS2002
4404
13.7
HS2002
4405
13.7
HS2002
4413
13.7
HS2002
4417
13.7
HS2002
442110
13.7
HS2002
442190
Only some part of it
13.7
HS2007
4404
13.7
HS2007
4405
13.7
HS2007
4413
13.7
HS2007
4417
13.7
HS2007
442110
13.7
HS2007
442190
Only some part of it
13.7
HS2012
4404
13.7
HS2012
4405
13.7
HS2012
4413
13.7
HS2012
4417
13.7
HS2012
442110
13.7
HS2012
442190
Only some part of it
13.7
HS2017
4404
13.7
HS2017
4405
13.7
HS2017
4413
13.7
HS2017
4417
13.7
HS2017
442110
13.7
HS2017
442199
14.1
HS2002
4807
14.1
HS2007
4807
14.1
HS2012
4807
14.1
HS2017
4807
14.2
HS2002
481110
14.2
HS2002
481141
14.2
HS2002
481149
14.2
HS2002
481160
14.2
HS2002
481190
14.2
HS2007
481110
14.2
HS2007
481141
14.2
HS2007
481149
14.2
HS2007
481160
14.2
HS2007
481190
14.2
HS2012
481110
14.2
HS2012
481141
14.2
HS2012
481149
14.2
HS2012
481160
14.2
HS2012
481190
14.2
HS2017
481110
14.2
HS2017
481141
14.2
HS2017
481149
14.2
HS2017
481160
14.2
HS2017
481190
14.3
HS2002
4818
14.3
HS2007
4818
14.3
HS2012
4818
14.3
HS2017
4818
14.4
HS2002
4819
14.4
HS2007
4819
14.4
HS2012
4819
14.4
HS2017
4819
14.5
HS2002
4814
14.5
HS2002
4816
14.5
HS2002
4817
14.5
HS2002
4820
14.5
HS2002
4821
14.5
HS2002
4822
14.5
HS2002
4823
14.5
HS2007
4814
14.5
HS2007
4816
14.5
HS2007
4817
14.5
HS2007
4820
14.5
HS2007
4821
14.5
HS2007
4822
14.5
HS2007
4823
14.5
HS2012
4814
14.5
HS2012
4816
14.5
HS2012
4817
14.5
HS2012
4820
14.5
HS2012
4821
14.5
HS2012
4822
14.5
HS2012
4823
14.5
HS2017
4814
14.5
HS2017
4816
14.5
HS2017
4817
14.5
HS2017
4820
14.5
HS2017
4821
14.5
HS2017
4822
14.5
HS2017
4823
14.5.1
HS2002
482390
Only some part of it
14.5.1
HS2007
482390
Only some part of it
14.5.1
HS2012
482390
Only some part of it
14.5.1
HS2017
482390
Only some part of it
14.5.2
HS2002
482370
14.5.2
HS2007
482370
14.5.2
HS2012
482370
14.5.2
HS2017
482370
14.5.3
HS2002
482320
14.5.3
HS2007
482320
14.5.3
HS2012
482320
14.5.3
HS2017
482320
12.6
HS2002
482110
Only some part of it
12.6
HS2002
482190
Only some part of it
12.6
HS2002
482210
Only some part of it
12.6
HS2002
482290
Only some part of it
12.6
HS2002
482312
Only some part of it
12.6
HS2002
482319
Only some part of it
12.6
HS2002
482320
Only some part of it
12.6
HS2002
482340
Only some part of it
12.6
HS2002
482360
Only some part of it
12.6
HS2002
482370
Only some part of it
12.6
HS2002
482390
Only some part of it
12.6
HS2002
480210
Only some part of it
12.6
HS2002
480220
Only some part of it
12.6
HS2002
480230
Only some part of it
12.6
HS2002
480240
Only some part of it
12.6
HS2002
480254
Only some part of it
12.6
HS2002
480255
Only some part of it
12.6
HS2002
480256
Only some part of it
12.6
HS2002
480257
Only some part of it
12.6
HS2002
480258
Only some part of it
12.6
HS2002
480261
Only some part of it
12.6
HS2002
480262
Only some part of it
12.6
HS2002
480269
Only some part of it
12.6
HS2002
481013
Only some part of it
12.6
HS2002
481014
Only some part of it
12.6
HS2002
481019
Only some part of it
12.6
HS2002
481022
Only some part of it
12.6
HS2002
481029
Only some part of it
12.6
HS2002
481031
Only some part of it
12.6
HS2002
481032
Only some part of it
12.6
HS2002
481039
Only some part of it
12.6
HS2002
481092
Only some part of it
12.6
HS2002
481099
Only some part of it
12.6
HS2007
481410
12.6
HS2007
481420
12.6
HS2007
481490
12.6
HS2007
481710
12.6
HS2007
481720
12.6
HS2007
481730
12.6
HS2007
482010
12.6
HS2007
482020
12.6
HS2007
482030
12.6
HS2007
482040
12.6
HS2007
482050
12.6
HS2007
482090
12.6
HS2007
482110
12.6
HS2007
482190
12.6
HS2007
482210
12.6
HS2007
482290
12.6
HS2007
482320
12.6
HS2007
482340
12.6
HS2007
482361
12.6
HS2007
482369
12.6
HS2007
482370
12.6
HS2007
482390
12.6
HS2012
481420
12.6
HS2012
481490
12.6
HS2012
481710
12.6
HS2012
481720
12.6
HS2012
481730
12.6
HS2012
482020
12.6
HS2012
482030
12.6
HS2012
482040
12.6
HS2012
482050
12.6
HS2012
482090
12.6
HS2012
482110
12.6
HS2012
482190
12.6
HS2012
482210
12.6
HS2012
482290
12.6
HS2012
482320
12.6
HS2012
482340
12.6
HS2012
482361
12.6
HS2012
482369
12.6
HS2012
482370
12.6
HS2012
482390
12.6.1
HS2002
480210
Only some part of it
12.6.1
HS2002
480220
Only some part of it
12.6.1
HS2002
480230
Only some part of it
12.6.1
HS2002
480240
Only some part of it
12.6.1
HS2002
480254
Only some part of it
12.6.1
HS2002
480255
Only some part of it
12.6.1
HS2002
480256
Only some part of it
12.6.1
HS2002
480257
Only some part of it
12.6.1
HS2002
480258
Only some part of it
12.6.1
HS2002
480261
Only some part of it
12.6.1
HS2002
480262
Only some part of it
12.6.1
HS2002
480269
Only some part of it
12.6.1
HS2002
481013
Only some part of it
12.6.1
HS2002
481014
Only some part of it
12.6.1
HS2002
481019
Only some part of it
12.6.1
HS2002
481022
Only some part of it
12.6.1
HS2002
481029
Only some part of it
12.6.1
HS2002
481031
Only some part of it
12.6.1
HS2002
481032
Only some part of it
12.6.1
HS2002
481039
Only some part of it
12.6.1
HS2002
481092
Only some part of it
12.6.1
HS2002
481099
Only some part of it
12.6.1
HS2002
482390
Only some part of it
12.6.1
HS2007
482390
Only some part of it
12.6.1
HS2012
482390
Only some part of it
12.6.2
HS2002
482370
12.6.2
HS2007
482370
12.6.2
HS2012
482370
12.6.3
HS2002
482320
12.6.3
HS2007
482320
12.6.3
HS2012
482320
conversion factors
JFSQ
FOREST SECTOR QUESTIONNAIRE
Conversion Factors
NOTE THESE ARE ONLY GENERAL NUMBERS. IT WOULD BE PREFERABLE TO USE SPECIES- OR COUNTRY-SPECIFIC FACTORS
Multiply the quantity expressed in units on the right side of "per" with the factor to get the value expressed in units on left side of "per".
FAO and UNECE Statistical Publications
Results from UNECE/FAO 2009 Conversion Factors Questionnaire (median)
Product
JFSQ
Product
volume to weight
volume to area
volume/weight of finished product to volume of roundwood
volume to weight
volume/weight of finished product to volume of roundwood
Code
Quantity
m3 per MT
m3 per m2
Roundwood
m3 per MT
Roundwood
Unit
equivalent
equivalent
Notes to results of UNECE/FAO Conversion Factor Questionnaire
1
1000 m3 ub
ROUNDWOOD (WOOD IN THE ROUGH)
1.1
1000 m3 ub
WOOD FUEL, INCLUDING WOOD FOR CHARCOAL
1.38
1.1.C
1000 m3 ub
Coniferous
1.60
Green = 1.12
Based on 891 kg/m3 green, basic density of .41, and 20% moisture seasoned
Seasoned = 1.82
Based on 407 kg/m3 dry, assuming 20% moisture
1.1.NC
1000 m3 ub
Non-Coniferous
1.33
Green=1.05
Based on 1137 kg/m3 green, specific gravity of .55, and 20% moisture seasoned
Seasoned=1.43
1.2
1000 m3 ub
INDUSTRIAL ROUNDWOOD
1.2.C
1000 m3 ub
Coniferous
1.10
Based on 50/50 ratio of share of logs/pulpwood in industrial roundwood
1.2.NC
1000 m3 ub
Non-Coniferous
0.91
Based on 50/50 ratio of share of logs/pulpwood in industrial roundwood
Source: Fonseca "Measurement of Roundwood" 2005, ITTO Annual Review 2007, table 3-2-a
Species weight averaged using m3/tonne from Fonseca 2005 and volume exported by species from each region as shown in ITTO 2007 (assumes that bark is removed)
1.2.1
1000 m3 ub
SAWLOGS AND VENEER LOGS
1.05
Based on 950 kg/m3 green. Bark is included in weight but not in volume.
1.2.1.C
1000 m3 ub
Coniferous
1.43
1.07
Based on 935 kg/m3 green. Bark is included in weight but not in volume.
1.2.1.NC
1000 m3 ub
Non-Coniferous
1.25
0.91
Based on 1093 kg/m3 green. Bark is included in weight but not in volume.
1.2.2
1000 m3 ub
PULPWOOD (ROUND & SPLIT)
1.48
1.08
Based on 930 kg/m3 green. Bark is included in weight but not in volume.
1.2.2.C
1000 m3 ub
Coniferous
1.54
1.12
Based on 891 kg/m3 green. Bark is included in weight but not in volume.
1.2.2.NC
1000 m3 ub
Non-Coniferous
1.33
0.91
Based on 1095 kg/m3 green. Bark is included in weight but not in volume.
1.2.3
1000 m3 ub
OTHER INDUSTRIAL ROUNDWOOD
1.33
1.07
1.2.3.C
1000 m3 ub
Coniferous
1.43
1.12
same as 1.2.2.C
1.2.3.NC
1000 m3 ub
Non-Coniferous
1.25
0.91
same as 1.2.2.NC
2
1000 MT
WOOD CHARCOAL
6.00
5.35
Does not include the use of any of the wood fiber to generate the heat to make (add about 30% if inputted wood fiber used to provide heat)
3
1000 m3
WOOD CHIPS, PARTICLES AND RESIDUES
3.1
1000 m3
WOOD CHIPS AND PARTICLES
1.60
softwood=1.19
1.205
Based on swe/odmt of 2.41 and avg delivered mt / odmt of 2.0 in solid m3
hardwood = 1.05
1.123
Based on swe/odmt of 2.01 and avg delivered mt / odmt of 1.79 in solid m3
mix = 1.15
3.2
1000 m3
WOOD RESIDUES
1.50
Green=1.15
Based on wood chips
Seasoned = 2.12
2.07
Assumption for seasoned is based on average basic density of .42 from questionnaire and assumes 15% moisture content
4
1000 MT
WOOD PELLETS AND OTHER AGGLOMERATES
4.1
1000 MT
WOOD PELLETS
1.51
1.44
Bulk (loose) volume, 5-10% moisture
4.2
1000 MT
OTHER AGGLOMERATES
1.31
2.29
roundwood equivalent is m3rw/odmt, volume to weight is bulk (loose volume)
5
1000 m3
SAWNWOOD
1.6 / 1.82*
5.C
1000 m3
Coniferous
1.82
Green=1.202
RoughGreen=1.67
Green sawnwood based on basic density of .94, less bark (11%)
Dry = 1.99
RoughDry=1.99
Dry sawnwood weight based on basic density of .42, 4% shrinkage and 15% moisture content
PlanedDry=2.13
5.NC
1000 m3
Non-Coniferous
1.43
Green=1.04
RoughGreen=1.86
Green sawnwood based on basic density of 1.09, less bark (12%)
Seasoned=1.50
RoughDry=2.01
Dry sawnwood weight based on basic density of .55, 5% shrinkage and 15% moisture content
PlanedDry=2.81
5.NC.T
1000 m3
of which:Tropical
6
1000 m3
WOOD-BASED PANELS
1.6
6.1
1000 m3
VENEER SHEETS
1.33
0.0025
1.9*
6.1.C
1000 m3
Coniferous
0.003
Green=1.20
1.5***
Green veneer based on basic density of .94, less bark (11%)
Seasoned=2.06
1.6***
Dry veneer weight based on basic density of .42, 9% shrinkage and 5% moisture content
6.1.NC
1000 m3
Non-Coniferous
0.001
Green=1.04
1.5***
Green veneer based on basic density of 1.09, less bark (11%)
Seasoned=1.53
1.6***
Dry veneer weight based on basic density of .55, 11.5% shrinkage and 5% moisture content
6.1.NC.T
1000 m3
of which:Tropical
6.2
1000 m3
PLYWOOD
1.54
0.105
2.3*
6.2.C
1000 m3
Coniferous
0.0165***
1.69
2.12
dried, sanded, peeled
6.2.NC
1000 m3
Non-Coniferous
0.0215***
1.54
1.92
dried, sanded, sliced
6.2.NC.T
1000 m3
of which:Tropical
6.3
1000 m3
PARTICLE BOARD (including OSB)
1.54
6.3x
1000 m3
PARTICLE BOARD (excluding OSB)
0.018***
1.53
1.50
6.3.1
1000 m3
of which: OSB
0.018***
1.67
1.63
6.4
1000 m3
FIBREBOARD
6.4.1
1000 m3
HARDBOARD
1.05
0.005
Alex McCusker: Alex McCusker:
0.003 per Conversion Factors Study
1.06
1.93
solid wood per m3 of product
6.4.2
1000 m3
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
2.00
0.016
1.37
1.70
solid wood per m3 of product
6.4.3
1000 m3
INSULATING BOARD
4.00
0.025
3.44
0.71
solid wood per m3 of product
7
1000 MT
WOOD PULP
3.37
3.86
7.1
1000 MT
MECHANICAL
2.50
air-dried metric ton
7.2
1000 MT
SEMI-CHEMICAL
2.70
air-dried metric ton
7.3
1000 MT
CHEMICAL
4.90
7.3.1
1000 MT
SULPHATE UNBLEACHED
4.63
air-dried metric ton
7.3.2
1000 MT
SULPHATE BLEACHED
4.50
air-dried metric ton
7.3.3
1000 MT
SULPHITE UNBLEACHED
4.64
air-dried metric ton
7.3.4
1000 MT
SULPHITE BLEACHED
5.01
air-dried metric ton
7.4
1000 MT
DISSOLVING GRADES
5.65
air-dried metric ton
8
1000 MT
OTHER PULP
8.1
1000 MT
PULP FROM FIBRES OTHER THAN WOOD
8.2
1000 MT
RECOVERED FIBRE PULP
9
1000 MT
RECOVERED PAPER
1.28 MT in per MT out
10
1000 MT
PAPER AND PAPERBOARD
3.37
3.6
10.1
1000 MT
GRAPHIC PAPERS
10.1.1
1000 MT
NEWSPRINT
2.80
air-dried metric ton
10.1.2
1000 MT
UNCOATED MECHANICAL
3.50
air-dried metric ton
10.1.3
1000 MT
UNCOATED WOODFREE
10.1.4
1000 MT
COATED PAPERS
3.95
air-dried metric ton
10.2
1000 MT
SANITARY AND HOUSEHOLD PAPERS
4.90
air-dried metric ton
10.3
1000 MT
PACKAGING MATERIALS
3.25
air-dried metric ton
10.3.1
1000 MT
CASE MATERIALS
4.20
air-dried metric ton
10.3.2
1000 MT
CARTONBOARD
4.00
air-dried metric ton
10.3.3
1000 MT
WRAPPING PAPERS
4.10
air-dried metric ton
10.3.4
1000 MT
OTHER PAPERS MAINLY FOR PACKAGING
4.00
air-dried metric ton
10.4
1000 MT
OTHER PAPER AND PAPERBOARD N.E.S
3.48
air-dried metric ton
For inverse relationships divide 1 by the factor given, e.g. to convert m3 of wood charcoal to mt divide 1 by m3/mt factor of 6 = 0.167
Notes:
Forest Measures
MT = metric tonnes (1000 kg)
Unit
m3/unit
m3/unit
m3 = cubic meters (solid volume)
1000 board feet (sawlogs)
4.53**
m2 = square meters
1000 board feet (sawnwood - nominal)
2.36
1.69
nominal board feet to actual m3
(s) = solid volume
1000 square feet (1/8 inch thickness)
0.295
cord
3.625
2.43
Unit Conversion
cord (pulpwood)
2.55
2.43
1 inch = 25.4 millimetres
cord (wood fuel)
2.12
2.43
1 square foot = 0.0929 square metre
cubic foot
0.02832
1 pound = 0.454 kilograms
cubic foot (stacked)
0.01841
1 short ton (2000 pounds) = 0.9072 metric ton
cunit
2.83
1 long ton (2240 pounds) = 1.016 metric ton
fathom
6.1164
Bold = FAO published figure
hoppus cubic foot
0.0222
hoppus super(ficial) foot
0.00185
* = ITTO
hoppus ton (50 hoppus cubic feet)
1.11
** = obolete - more recent figures would be
Petrograd Standard
4.672
for OR, WA, AK (west of Cascades), SE US (Doyle region): 6.3
stere
1
0.67
Inland west US, Great Lakes US, E. Can.: 5.7
stere (pulpwood)
0.72
0.67
NE US Int 1/4": 5
stere (wood fuel)
0.65
0.67
*** = Conversion Factor Study, US figures, rotary for conifer and sliced for non-conifer
Fonseca *Measurement of Roundwood" 2005. Estimated by Matt Fonseca based on regional knowledge of the scaling methods and timber types
prepared February 2004
updated 2007 with RWE factors
updated 2009 with provisional results of forest products conversion factors study
updated 2011 with results of forest products conversion factors study (DP49)
JFSQ Item codes
Below are algebraic expressions of the relationships of items in the JFSQ. These are to help in understanding and filling out the JFSQ in a way to minimize inconsistencies.
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
