THE USE OF SEEA - MATERIAL FLOW ACCOUNTS
FOR DERIVING CIRCULAR ECONOMY INDICATORS
Presentation of Republic of
North Macedonia
Geneva, 18-20 March 2024
Suzana Stojanovska
Circular economy
Circular economic activities aim to consume products and materials
effectively in the production process cycle. This concept is different from
a linear economy that applies a “take, make, waste” process, in which
after raw materials are processed into products and used or consumed,
those products will then be discarded into non-renewable waste a
circular economy, products that have been consumed will be reused in
various stages of production until they are completely non-recyclable.
SEEA and Circular Economy
Environmental-Economic Accounting (SEEA) provides a statistical
framework which guides the compilation of environmental-economic
accounts. SEEA provides standard statistical framework to understand
the relationship between the economy and the environment.
Environmental flow accounts, in particular, record the flows of energy,
water, and other materials between the environment and the economy
as well as the flows within the economy. The use of SEEA flow accounts is
a standard framework to derive some related circular economy
indicators.
SEEA and Circular Economy
Flow account is a type of environmental-economic accounts within SEEA
framework which measures the flows of natural inputs into the economy
and releases of residuals to the environment (United Nations et al.,
2014). The use of SEEA flow accounts allows the derivation of indicators
for the consumption of resources relative to economic indicators derived
from national accounts, such as output or value added, since the
residence principle of SEEA framework is in line with the System of
National Accounts.
SEEA flow accounts comprise three subsystems: material flow accounts,
energy accounts, and water accounts. Within the framework of material
flow accounts, there is also other types of flow accounts, such as air
emission accounts and solid waste accounts, which are focused on
specific type of residuals. The measurement of SEEA flow accounts is
generally carried out in physical units and presented using the structure
of supply and use table.
Circular Economy Indicators from Material Flow
Accounts
Economy-wide material flow accounts (EW-MFA) provides aggregate
overview in physical terms of the material inputs and outputs of an
economy, including inputs from the environment, outputs to the
environment, and the physical amounts of imports and exports. As one of
the objective of circular economy is to keep the utility of materials as
long as possible while maintaining the economic growth, the EW-MFA
framework could be used to derive the material productivity indicators.
Circular Economy Indicators from Material Flow
Accounts
The basic indicator derived from EW-MFA is Domestic Material
Consumption (DMC). Domestic Material Consumption (DMC) is a
standard material flow accounting (MFA) indicator and reports the
apparent consumption of materials in a national economy.
DMC measures the total amount of materials (biomass, fossil fuels, metal
ores and non-metalic minerals) needed for domestic consumption
activities. Therefore, DMC equals to the mass of materials extracted from
the domestic environment plus materials imported from other countries
less materials exported to other countries. To be classified as circular
economy indicator, DMC should be divided by Gross Domestic Product
(GDP) to form DMC per unit of GDP indicator (SDG indicator 12.2.2(a))
because the circular economy aims to reach more economic growth with
less material consumption.
Indicator 12.2.2 (a)
Domestic material consumption per unit of GDP
(all materials)
in kilogrammes per constant 2020 United Stated dollar
Domestic Material Consumption (DMC) is a standard material flow
accounting (MFA) indicator and reports the apparent consumption of
materials in a national economy.
Data source: UNECE United Nations Global SDG Database
Indicator 12.2.2 (a)
Domestic material consumption per unit of GDP
(all materials)
Measuring Physical Flow of Plastic
The SSO produces statistics on plastics.
Data sources for measuring flow of plastic:
• Production – Industry statistics – Industrial production
• Import and export – Foreign trade statistics
• Plastic waste collected, generated and treated – Environmental
Statistics (Survey on municipal waste and Survey on waste by sectors
of economic activity)
Measuring Physical Flow of Plastic
• Production of plastics
Section 22 (class 22.2) Manufacture of rubber and plastic products
according to NACE Rev 2
2022 - 72025 tones
• Import and export of plastics
Tariff 3923
Import Import
kg EUR kg EUR
18,265,489 53,874,600 10,378,594 21,738,468
Measuring Physical Flow of Plastic
• Plastic waste
Plastic in the circular economy
Is there a place for plastic in the circular economy?
By adopting sustainable practices that minimize waste and promote
resource conservation, companies can actively contribute to solving the
plastic waste crisis.
Embracing the circular economy not only benefits the environment, but
also presents economic opportunities, promotes innovation, and
enhances a company’s reputation. Thanks to these collective efforts, we
can pave the way to a more sustainable and prosperous future.
Fostering the use of recycled plastics, and increasing their use in various
applications, is essential to accelerate the progress towards a circular and
climate neutral economy of plastics.
Plastic in the circular economy
In Republic of North Macedonia, the selection of waste is minimal. The
analyzes so far show that recycling does not work completely, and that
part of the waste from Macedonia is exported directly without further
treatment, and part goes through a longer treatment process and is sold
as such, for example glass, paper and plastic.
Every day in Macedonia, plastic is created on a huge scale, both from
households and from business entities, which in turn have an obligation to
give their own amounts of plastic for recycling. Of the plastic used, less
than 25% is recycled. This leads to the creation of uncontrolled landfills
throughout the country, in municipal landfills, riverbeds and on the
outskirts. Instead of polluting our environment, this plastic can be
recycled. An additional factor in the reduced recycling coverage is that
plastic recycling is an expensive process, as well as the fact that the more
plastic is reused, the more toxic it becomes.
Plastic in the circular economy
The problem in Macedonia with plastic waste is not only in the absence of
recycling facilities, but also in the poorly controlled import of waste that is
used as fuel in factory facilities. Not only are landfills more and more full
of plastic waste, along with green areas across the country, but air
pollution has also increased due to the burning of waste. This waste is
imported from the EU and neighboring countries and to make the tragedy
even greater, much more waste is imported than is exported.
Only about 1.4 percent of the total collected waste in the country is
selected plastic waste, and the individual collectors of plastic bottles
throughout the cities (informal sector) and collective operators have the
largest share in the selection of plastic waste, instead of the Public
Communal Enterprises.
Plastic in the circular economy
The activities undertaken by the competent institutions for the
establishment of an integrated system for plastic waste management are
not effective and do not allow avoiding and reducing the amount of
plastic waste generated, efficient use of usable waste ingredients and
respect for the principles of waste management.
Two companies in the country are dealing with plastic recycling. The first
one has two lines of recycling: one is for the processing of the plastic
"Pet" bottles of juices and mineral water. The goal of that processing is to
eliminate all the dirt, in order to finally get completely washed and dried
pieces of plastic, so-called 'Five Flex' or 'Five Flakes’.” The “five flakes" as a
new raw material are exported to the factory in Romania where they
produce polyester fiber and polyester tape.
Plastic in the circular economy
The second line of recycling refers to the processing of polyethylene and
polypropylene, it involves the introduction of input raw materials such as
bales of plastic and foil, which first goes to primary selection after various
types of hard and other plastic, its grinding, weighing and drying. And the
last stage in that technological line is granulation, ie extraction and
obtaining a new granulate. So a new granulate is obtained here, which it
is further marketed on the market and is used for the production of
several new articles, namely plastic pipes, such as sewers, water supply
pipes, pressure pipes, irrigation pipes, then for new foils, new nylons and
bags.
Another company that deals with the recycling of plastic waste, using an
innovative and environmentally acceptable method. With their modern
technology, the plastic is selected, compressed and baled into bales, and
then exported.
Plastic in the circular economy
The issues associated with society’s use of plastics are complex. They
need to be addressed through coordinated actions at multiple levels and
require changes not only in technologies, but also in business models and
behavior.
Government policies have a key role to play in making such changes
happen. The stakeholdеrs must work together to address these
challenges through exchange of policy experiences, technical advice and
capacity.
01. Continuous trend of decreasing number of children who
entered formal residential care during the year, from 119 in 2015 to
only 4 in 2022
02. Children with disabilities in formal residential care also varied
significantly over the period 2015-2022, from more than 50 in 2015
and 2016, to 28 in 2022.
03. The number of children who left formal residential care has
also decreased in line with the decreasing number of children who
entered.
Availability of data for children
in alternative care
3 |
The portion of “other reasons” needs to be examined, as it
amounts to almost one quarter, with every fourth child
leaving for “other reasons”.
01. Number of children in family-based formal care – 436 (2020) to 369 children (2022).
02. Number of children with disabilities placed in family-based formal care – 34 in 2015 to 78 in 2022
03. Number of children with disabilities placed in foster families – 91 in 2021, 75 in 2022 vs 39 in 2019
04. Number of children that left formal foster care in 2022 - 49 children, of which 11 children with
disabilities
05. Reasons why children left care in 2022
• 55% of them left it due to family reunification
• 20% were placed under formal residential care
• 12% were adopted
• 10% started living independently
Availability of data for children in alternative care
Number of children aged 0-17 placed in foster care, by
gender and disability, at the end of the year, by year
Year 2015 2016 2017 2018 2019 2020 2021 2022
Total number of children aged 0-17 in
foster families, at the end of the year
238 247 274 302 317 332 346 256
Of which no. of children with disabilities 34 35 39 38 39 41 91 75
By gender
Boys 108 121 139 156 174 173 166 129
Girls 130 126 135 146 143 159 180 127
What is the story behind the data for
children in alternative care telling us?
Maja has lost her parents when she was 7 years old. She was the
oldest of four siblings, having two younger brothers and one sister.
After she lost her parents, she was placed in one foster family where
she was maltreated. She was then transferred to another foster family,
now separated from two of her siblings, which remained in the
previous family. In this family, she did not receive the family support
she hoped for. She was then relocated to a small group home and
separated from her last sibling which was placed in another group
home. Despite her strong will to be together with her siblings, she was
not even allowed to contact with two of her siblings which remained in
the first foster home. She reacted to the social work services, but to no
avail.
*The name has been changed for privacy and to protect the identity.
Latest CRC recommendations for North
Macedonia
• Establish a comprehensive and reliable data collection mechanism, with
indicators on all rights guaranteed by the Convention and its Optional
Protocols
• Ensure that data can be disaggregated by age, sex, disability, geographic
location, ethnic origin, nationality and socio-economic background to
facilitate analysis of the situation of all children, and in particular
younger children, children in alternative care
• Introduce a gatekeeping system regarding alternative care, with the aim to
reduce the number of children in out-of-home placement, prevent unsuitable
entries into the care system, ensure the suitability of placement and return to
family or community
10 |
We need to reevaluate
how institutions
collect data, how they
read the data, and
ensure that data tells
us a story of what
decisions have been
made and should be
made in the best
interest of the child.
11 |
Mechanisms for
monitoring and
review each 3
months in place
Number of children
separated from
their siblings when
placed in
alternative care
Number of children
having changed
more than 2
placements by the
time they reach 18
years of age
% of children
placed in
alternative care
close to their
habitual place of
residence
Maintaining the
child as close as
possible to
his/her habitual
place of
residence.
Decisions regarding
children in
alternative care,
should have due
regard for the
importance of
ensuring children a
stable home with
permanency
generally being a
key goal.
States should ensure
the right of any child
who has been placed
in temporary care to
regular and
thorough review –
preferably at least
every three months.
Siblings with
existing bonds
should in principle
not be separated by
placements in
alternative care
unless there is a
clear risk of abuse or
other justification in
the best interests of
the child.
Way forward
• Support to collect data on a regular basis by implementing the case
management
• Foster a process of intersectoral collaboration to gradually introduce a
mechanism for data exchange between the National Commission for
ICF, the Centers for Social work, the Ministry of Education and Science
and the Electronic Health Information system
• Support data providers to adequately report on the reasons children are
leaving alternative care to be able to analyze the data trends and
propose suitable measures and policies
• Develop new indicators to determine and analyze the decisions being
taken for every child and whether they are in line with his/her best
interest
13 |
Thank you
Default Section
Slide 1
Сесија 1
Slide 2
Slide 3
Slide 4
Slide 5: The portion of “other reasons” needs to be examined, as it amounts to almost one quarter, with every fourth child leaving for “other reasons”.
Slide 6
Сесија 2
Slide 7: Number of children aged 0-17 placed in foster care, by gender and disability, at the end of the year, by year
Slide 8: What is the story behind the data for children in alternative care telling us?
Slide 9: Latest CRC recommendations for North Macedonia
UNECE and partners are working together to support North Macedonia in its green energy transition by building capacities to finance energy efficiency (EE) and renewable energy (RE) projects.
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)
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E X P O R T
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E X P O R T
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I M P O R T
E X P O R T
code
Product
quantity
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unit
2021
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Value
Quantity
Value
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Value
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
98.1476285
2467.0547637829
29.2762741
1272.8205121881
0.330265
123.5936277197
0.19829
59.1687826133
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
0
0
0
0
0
0
0
0
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
ERROR:#REF!
ERROR:#REF!
1
ROUNDWOOD (WOOD IN THE ROUGH)
NAC/m3
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
11.9357455
1219.7669606557
2.1764981
295.629096953
0.01589
2.1424580585
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
ERROR:#REF!
ERROR:#REF!
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
NAC/m3
1.1.C
Coniferous
1000 m3ub
7.337309
842.1174781262
0.7203231
126.5184197094
1.1.C
Coniferous
1000 m3ub
1.1.C
Coniferous
1000 m3ub
ERROR:#REF!
ERROR:#REF!
1.1.C
Coniferous
NAC/m3
1.1.NC
Non-Coniferous
1000 m3ub
4.5984365
377.6494825296
1.456175
169.1106772436
0.01589
2.1424580585
1.1.NC
Non-Coniferous
1000 m3ub
1.1.NC
Non-Coniferous
1000 m3ub
ERROR:#REF!
ERROR:#REF!
1.1.NC
Non-Coniferous
NAC/m3
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
86.211883
1247.2878031271
27.099776
977.1914152351
0.330265
123.5936277197
0.1824
57.0263245548
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
-0
0
0
0
0
0
0
0
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
ERROR:#REF!
ERROR:#REF!
1.2
INDUSTRIAL ROUNDWOOD
NAC/m3
1.2.C
Coniferous
1000 m3ub
85.033733
1089.3036894417
3.545884
845.5603205001
0.0245
2.4096257183
1.2.C
Coniferous
1000 m3ub
1.2.C
Coniferous
1000 m3ub
ERROR:#REF!
ERROR:#REF!
1.2.C
Coniferous
NAC/m3
1.2.NC
Non-Coniferous
1000 m3ub
1.17815
157.9841136855
23.553892
131.631094735
0.330265
123.5936277197
0.1579
54.6166988365
1.2.NC
Non-Coniferous
1000 m3ub
1.2.NC
Non-Coniferous
1000 m3ub
ERROR:#REF!
ERROR:#REF!
1.2.NC
Non-Coniferous
NAC/mt
1.2.NC.T
of which: Tropical1
1000 m3ub
1.2.NC.T
of which: Tropical1
1000 m3ub
1.2.NC.T
of which: Tropical1
1000 m3ub
ERROR:#REF!
ERROR:#REF!
1.2.NC.T
of which: Tropical
1000 m3
2
WOOD CHARCOAL
1000 t
0.583594935
526.0538903696
0.777608734
998.0849519396
0.000805
24.667283232
0.164794
177.9376058711
2
WOOD CHARCOAL
1000 t
2
WOOD CHARCOAL
1000 t
ERROR:#REF!
ERROR:#REF!
2
WOOD CHARCOAL
1000 m3
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
0.317112362
294.1862149135
0.181079185
223.8163990847
0.0009555
7.5869004698
0.0063175
6.5672485532
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
0
0
0
0
0
0
0
0
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
ERROR:#REF!
ERROR:#REF!
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
0.107979984
184.0880135199
0.119019054
176.2588083669
0.00014175
1.0530295773
0.00112
2.1252113498
3.1
WOOD CHIPS AND PARTICLES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
ERROR:#REF!
ERROR:#REF!
3.1
WOOD CHIPS AND PARTICLES
1000 mt
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
0.209132378
110.0982013936
0.062060131
47.5575907178
0.00081375
6.5338708925
0.0051975
4.4420372033
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
ERROR:#REF!
ERROR:#REF!
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 mt
3.2.1
of which: Sawdust
1000 m3
0.209132378
110.0982013936
0.008184911
5.0506878211
0.00081375
6.5338708925
3.2.1
of which: Sawdust
1000 m3
3.2.1
of which: Sawdust
1000 m3
ERROR:#REF!
ERROR:#REF!
4
RECOVERED POST-CONSUMER WOOD
1000 t
0.05387522
42.5069028967
0.0051975
4.4420372033
4
RECOVERED POST-CONSUMER WOOD
1000 t
4
RECOVERED POST-CONSUMER WOOD
1000 t
ERROR:#REF!
ERROR:#REF!
4
RECOVERED POST-CONSUMER WOOD
1000 mt
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
67.2074331677
19030.8625519203
48.532996379
20210.0376852135
0.0458745
144.9935920799
0.172963
59.3042806639
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
0
0
0
0
0
0
0
0
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
ERROR:#REF!
ERROR:#REF!
5
WOOD PELLETS AND OTHER AGGLOMERATES
NAC/m3
5.1
WOOD PELLETS
1000 t
65.9156310197
18690.0407244479
47.408318293
19742.2568914445
0.03850595
120.5124329121
0.172963
59.3042806639
5.1
WOOD PELLETS
1000 t
5.1
WOOD PELLETS
1000 t
ERROR:#REF!
ERROR:#REF!
5.1
WOOD PELLETS
NAC/m3
5.2
OTHER AGGLOMERATES
1000 t
1.291802148
340.8218274723
1.124678086
467.780793769
0.00736855
24.4811591678
5.2
OTHER AGGLOMERATES
1000 t
5.2
OTHER AGGLOMERATES
1000 t
ERROR:#REF!
ERROR:#REF!
5.2
OTHER AGGLOMERATES
NAC/m3
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
173.470465
12390.7021365137
144.905779
12560.9250373854
28.159961
1752.7728491311
35.89764
3579.450027411
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
-0
0
0
-0
0
0
0
0
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
ERROR:#REF!
ERROR:#REF!
6
SAWNWOOD (INCLUDING SLEEPERS)
NAC/m3
6.C
Coniferous
1000 m3
115.168302
11186.0308201491
73.423661
11470.3779261059
0.50238
130.7048366484
4.873813
966.4163610749
6.C
Coniferous
1000 m3
6.C
Coniferous
1000 m3
ERROR:#REF!
ERROR:#REF!
6.C
Coniferous
NAC/m3
6.NC
Non-Coniferous
1000 m3
58.302163
1204.6713163647
71.482118
1090.5471112795
27.657581
1622.0680124827
31.023827
2613.0336663361
6.NC
Non-Coniferous
1000 m3
6.NC
Non-Coniferous
1000 m3
ERROR:#REF!
ERROR:#REF!
6.NC
Non-Coniferous
NAC/m3
6.NC.T
of which: Tropical1
1000 m3
0.680211
483.4440938351
0.147125
158.1136032179
0.028
0.1821870802
6.NC.T
of which: Tropical1
1000 m3
6.NC.T
of which: Tropical1
1000 m3
ERROR:#REF!
ERROR:#REF!
6.NC.T
of which: Tropical
NAC/m3
7
VENEER SHEETS
1000 m3
24.241705
3708.4470851408
20.36703
4384.4524000999
1.699784
591.4669494271
6.582275
486.0419099305
7
VENEER SHEETS
1000 m3
0
0
0
0
0
0
0
0
7
VENEER SHEETS
1000 m3
ERROR:#REF!
ERROR:#REF!
7
VENEER SHEETS
NAC/m3
7.C
Coniferous
1000 m3
0.10045
43.1919213078
0.006387
10.3436966689
0.040274
13.4233814369
0.020051
8.2437413662
7.C
Coniferous
1000 m3
7.C
Coniferous
1000 m3
ERROR:#REF!
ERROR:#REF!
7.C
Coniferous
NAC/m3
7.NC
Non-Coniferous
1000 m3
24.141255
3665.255163833
20.360643
4374.108703431
1.65951
578.0435679902
6.562224
477.7981685643
7.NC
Non-Coniferous
1000 m3
7.NC
Non-Coniferous
1000 m3
ERROR:#REF!
ERROR:#REF!
7.NC
Non-Coniferous
NAC/m3
7.NC.T
of which: Tropical
1000 m3
0.017843
28.7687959775
0.000072
0.8905694808
0.045057
16.6068465717
7.NC.T
of which: Tropical
1000 m3
7.NC.T
of which: Tropical
1000 m3
ERROR:#REF!
ERROR:#REF!
7.NC.T
of which: Tropical
NAC/m3
8
WOOD-BASED PANELS
1000 m3
657.050068
54353.1720771162
817.090867
54141.4391323152
58.097845
714.4405495479
17.569887
612.2435893078
8
WOOD-BASED PANELS
1000 m3
0
0
0
0
0
0
0
0
8
WOOD-BASED PANELS
1000 m3
ERROR:#REF!
ERROR:#REF!
8
WOOD-BASED PANELS
NAC/m3
8.1
PLYWOOD
1000 m3
66.663024
4522.069888754
103.640582
5874.0330082181
5.963864
142.7955477844
1.304219
200.4063671268
8.1
PLYWOOD
1000 m3
0
302
1
582
6
20
1
3
8.1
PLYWOOD
1000 m3
ERROR:#REF!
ERROR:#REF!
8.1
PLYWOOD
NAC/m3
8.1.C
Coniferous
1000 m3
6.109867
1502.1882789422
43.318053
1553.6413012075
0.04091
4.4875843424
0.229485
59.8781004938
8.1.C
Coniferous
1000 m3
8.1.C
Coniferous
1000 m3
ERROR:#REF!
ERROR:#REF!
8.1.C
Coniferous
NAC/m3
8.1.NC
Non-Coniferous
1000 m3
60.110604
2718.0172494615
59.511444
3738.6979071438
0.25637
118.5238490972
0.329734
137.7495543271
8.1.NC
Non-Coniferous
1000 m3
8.1.NC
Non-Coniferous
1000 m3
ERROR:#REF!
ERROR:#REF!
8.1.NC
Non-Coniferous
NAC/m3
8.1.NC.T
of which: Tropical
1000 m3
0.442553
301.8643603502
3.146795
738.7818769074
5.666584
19.7841143449
0.745
2.7787123058
8.1.NC.T
of which: Tropical
1000 m3
8.1.NC.T
of which: Tropical
1000 m3
ERROR:#REF!
ERROR:#REF!
8.1.NC.T
of which: Tropical
NAC/m3
8.1.1
of which: Laminated Veneer Lumber (LVL)
1000 m3
0.004675
4.6558778059
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
ERROR:#REF!
ERROR:#REF!
8.1.1.C
Coniferous
1000 m3
0.0045
4.6102108238
8.1.1.C
Coniferous
1000 m3
8.1.1.C
Coniferous
1000 m3
ERROR:#REF!
ERROR:#REF!
8.1.1.NC
Non-Coniferous
1000 m3
0.000175
0.0456669821
8.1.1.NC
Non-Coniferous
1000 m3
8.1.1.NC
Non-Coniferous
1000 m3
ERROR:#REF!
ERROR:#REF!
8.1.1.NC.T
of which: Tropical
1000 m3
0.00005
0.0246796373
8.1.1.NC.T
of which: Tropical
1000 m3
8.1.1.NC.T
of which: Tropical
1000 m3
ERROR:#REF!
ERROR:#REF!
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
272.365797
27156.6720297978
327.955535
26941.3648337359
42.594057
478.062508437
14.420493
295.2300013937
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
ERROR:#REF!
ERROR:#REF!
8.2
PARTICLE BOARD, ORIENTED STRANDBOARD (OSB) AND SIMILAR BOARD
NAC/m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
42.79883
1382.5287816607
66.339133
1549.2504229541
41.018635
65.5307326998
0.040187
15.9496068794
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
ERROR:#REF!
ERROR:#REF!
8.2.1
of which: ORIENTED STRANDBOARD (OSB)
NAC/m3
8.3
FIBREBOARD
1000 m3
318.021247
22674.4301585644
385.49475
21326.0412903611
9.539924
93.5824933265
1.845175
116.6072207873
8.3
FIBREBOARD
1000 m3
0
0
-0
-0
0
0
0
0
8.3
FIBREBOARD
1000 m3
ERROR:#REF!
ERROR:#REF!
8.3
FIBREBOARD
NAC/m3
8.3.1
HARDBOARD
1000 m3
152.022412
7770.445165165
128.539217
7931.7718503783
0.268143
18.1343760437
1.655655
20.2765183285
8.3.1
HARDBOARD
1000 m3
8.3.1
HARDBOARD
1000 m3
ERROR:#REF!
ERROR:#REF!
8.3.1
HARDBOARD
NAC/mt
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
159.709343
13734.6361832846
229.980521
12123.1621516056
9.271781
75.4481172828
0.179403
94.4013979277
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
ERROR:#REF!
ERROR:#REF!
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
NAC/mt
8.3.3
OTHER FIBREBOARD
1000 m3
6.289492
1169.3488101147
26.975012
1271.1072883773
0.010117
1.9293045311
8.3.3
OTHER FIBREBOARD
1000 m3
8.3.3
OTHER FIBREBOARD
1000 m3
ERROR:#REF!
ERROR:#REF!
8.3.3
OTHER FIBREBOARD
NAC/mt
9
WOOD PULP
1000 t
80.393193
175.8741121801
100.236
171.4105721515
56.08384
116.2438345162
46.347
101.9684498047
9
WOOD PULP
1000 t
0
0
0
0
0
0
0
0
9
WOOD PULP
1000 t
ERROR:#REF!
ERROR:#REF!
9
WOOD PULP
NAC/mt
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
8.05
6.4903633818
5.6
4.3974298686
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
ERROR:#REF!
ERROR:#REF!
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
NAC/mt
9.2
CHEMICAL WOOD PULP
1000 t
72.343193
169.3837487983
94.636
167.0131422829
56.08384
116.2438345162
46.347
101.9684498047
9.2
CHEMICAL WOOD PULP
1000 t
0
0
0
0
0
0
0
0
9.2
CHEMICAL WOOD PULP
1000 t
ERROR:#REF!
ERROR:#REF!
9.2
CHEMICAL WOOD PULP
NAC/mt
9.2.1
SULPHATE PULP
1000 t
0.023953
22.1994846802
24.85
28.418153205
9.2.1
SULPHATE PULP
1000 t
9.2.1
SULPHATE PULP
1000 t
ERROR:#REF!
ERROR:#REF!
9.2.1
SULPHATE PULP
NAC/mt
9.2.1.1
of which: BLEACHED
1000 t
0.023953
22.1994846802
24.85
28.418153205
9.2.1.1
of which: BLEACHED
1000 t
9.2.1.1
of which: BLEACHED
1000 t
ERROR:#REF!
ERROR:#REF!
9.2.1.1
of which: BLEACHED
NAC/mt
9.2.2
SULPHITE PULP
1000 t
72.31924
147.1842641181
69.786
138.594989078
56.08384
116.2438345162
46.347
101.9684498047
9.2.2
SULPHITE PULP
1000 t
9.2.2
SULPHITE PULP
1000 t
ERROR:#REF!
ERROR:#REF!
9.2.2
SULPHITE PULP
NAC/mt
9.3
DISSOLVING GRADES
1000 t
9.3
DISSOLVING GRADES
1000 t
9.3
DISSOLVING GRADES
1000 t
ERROR:#REF!
ERROR:#REF!
9.3
DISSOLVING GRADES
NAC/mt
10
OTHER PULP
1000 t
55.477
65.093968067
279.8645
225.6681352728
45.19
22.4061445835
80.73
59.341018639
10
OTHER PULP
1000 t
0
0
0
0
0
0
0
0
10
OTHER PULP
1000 t
ERROR:#REF!
ERROR:#REF!
10
OTHER PULP
NAC/mt
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
4.036
10.8713406495
137.1135
83.6039849448
37.48
11.2234180742
66.25
39.8385369165
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
ERROR:#REF!
ERROR:#REF!
10.1
PULP FROM FIBRES OTHER THAN WOOD
NAC/mt
10.2
RECOVERED FIBRE PULP
1000 t
51.441
54.2226274175
142.751
142.064150328
7.71
11.1827265093
14.48
19.5024817225
10.2
RECOVERED FIBRE PULP
1000 t
10.2
RECOVERED FIBRE PULP
1000 t
ERROR:#REF!
ERROR:#REF!
10.2
RECOVERED FIBRE PULP
NAC/mt
11
RECOVERED PAPER
1000 t
4535.68
908.9672417231
1403.98795
294.13197994
27377.203
5196.3750555631
26752.64
5347.2437496494
11
RECOVERED PAPER
1000 t
11
RECOVERED PAPER
1000 t
ERROR:#REF!
ERROR:#REF!
11
RECOVERED PAPER
NAC/mt
12
PAPER AND PAPERBOARD
1000 t
74384.6044689999
65625.035241966
78084.460888
84446.3210037938
17719.569155
12750.3431499229
15078.167208
14321.0712577629
12
PAPER AND PAPERBOARD
1000 t
0
0
0
0
0
0
0
0
12
PAPER AND PAPERBOARD
1000 t
ERROR:#REF!
ERROR:#REF!
12
PAPER AND PAPERBOARD
NAC/mt
12.1
GRAPHIC PAPERS
1000 t
17293.857539
16451.4024605383
17999.231777
22218.4900675253
1444.23352
1093.9091644633
1144.049243
1341.584112245
12.1
GRAPHIC PAPERS
1000 t
0
0
0
0
0
0
0
0
12.1
GRAPHIC PAPERS
1000 t
ERROR:#REF!
ERROR:#REF!
12.1
GRAPHIC PAPERS
NAC/mt
12.1.1
NEWSPRINT
1000 t
2679.13391
1661.8130384265
2261.70263
1984.9417491975
167.419
145.4137977452
127.7964
133.399420662
12.1.1
NEWSPRINT
1000 t
12.1.1
NEWSPRINT
1000 t
ERROR:#REF!
ERROR:#REF!
12.1.1
NEWSPRINT
NAC/mt
12.1.2
UNCOATED MECHANICAL
1000 t
874.01273
709.7571905652
678.707973
691.3547814724
33.16191
26.7400730878
0.119
0.0685820317
12.1.2
UNCOATED MECHANICAL
1000 t
12.1.2
UNCOATED MECHANICAL
1000 t
ERROR:#REF!
ERROR:#REF!
12.1.2
UNCOATED MECHANICAL
NAC/mt
12.1.3
UNCOATED WOODFREE
1000 t
8043.664866
7971.7392481394
9205.426932
12267.1491559745
298.75917
360.9235312565
407.24052
601.7648418128
12.1.3
UNCOATED WOODFREE
1000 t
12.1.3
UNCOATED WOODFREE
1000 t
ERROR:#REF!
ERROR:#REF!
12.1.3
UNCOATED WOODFREE
NAC/mt
12.1.4
COATED PAPERS
1000 t
5697.046033
6108.0929834072
5853.394242
7275.044380881
944.89344
560.8317623739
608.893323
606.3512677386
12.1.4
COATED PAPERS
1000 t
12.1.4
COATED PAPERS
1000 t
ERROR:#REF!
ERROR:#REF!
12.1.4
COATED PAPERS
NAC/mt
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
4161.94279
4814.1547485747
3504.98757
5725.303940617
69.11894
92.3623068645
15.6675
18.4348418708
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
ERROR:#REF!
ERROR:#REF!
12.2
HOUSEHOLD AND SANITARY PAPERS
NAC/mt
12.3
PACKAGING MATERIALS
1000 t
52442.607756
41276.1885688875
55997.788116
52972.5178089055
16203.481949
11538.9324345089
13917.393675
12943.5894655968
12.3
PACKAGING MATERIALS
1000 t
0
0
0
0
0
0
0
0
12.3
PACKAGING MATERIALS
1000 t
ERROR:#REF!
ERROR:#REF!
12.3
PACKAGING MATERIALS
NAC/mt
12.3.1
CASE MATERIALS
1000 t
27300.85832
16392.9538869224
31352.54011
23212.7753891279
10152.69335
5865.2842908365
7248.07057
5322.3030362324
12.3.1
CASE MATERIALS
1000 t
12.3.1
CASE MATERIALS
1000 t
ERROR:#REF!
ERROR:#REF!
12.3.1
CASE MATERIALS
NAC/mt
12.3.2
CARTONBOARD
1000 t
13735.430765
13536.0681044215
13219.487645
16860.8221188772
412.08186
282.8957154058
1420.062815
1524.1896390439
12.3.2
CARTONBOARD
1000 t
12.3.2
CARTONBOARD
1000 t
ERROR:#REF!
ERROR:#REF!
12.3.2
CARTONBOARD
NAC/mt
12.3.3
WRAPPING PAPERS
1000 t
10264.082285
10503.4826522677
9113.516342
10979.4845074426
5513.916359
5298.4312371547
5067.76249
5959.8029075082
12.3.3
WRAPPING PAPERS
1000 t
12.3.3
WRAPPING PAPERS
1000 t
ERROR:#REF!
ERROR:#REF!
12.3.3
WRAPPING PAPERS
NAC/mt
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
1142.236386
843.6839252759
2312.244019
1919.4357934578
124.79038
92.321191112
181.4978
137.2938828123
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
ERROR:#REF!
ERROR:#REF!
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
NAC/mt
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 t
486.196384
3083.2894639655
582.453425
3530.009186746
2.734746
25.1392440862
1.05679
17.4628380502
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 t
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 t
ERROR:#REF!
ERROR:#REF!
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
219.58547
352.7606567025
6.03
1.7426409425
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
ERROR:#REF!
ERROR:#REF!
15.1
GLULAM
1000 m3
180
319
15.1
GLULAM
1000 m3
15.1
GLULAM
1000 m3
ERROR:#REF!
ERROR:#REF!
15.2
CROSS-LAMINATED TIMBER (CLT or X-LAM)
1000 m3
40
33
6
2
15.2
CROSS-LAMINATED TIMBER (CLT or X-LAM)
1000 m3
15.2
CROSS-LAMINATED TIMBER (CLT or X-LAM)
1000 m3
ERROR:#REF!
ERROR:#REF!
16
I BEAMS (I-JOISTS)2
1000 t
22.21225
36.6688525519
8.9
4.652909702
16
I BEAMS (I-JOISTS)1
1000 t
16
I BEAMS (I-JOISTS)1
1000 t
ERROR:#REF!
ERROR:#REF!
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 $):
_____________________
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
2571.3974593035
1806.7928617224
130.0048156478
133.9759863519
13.1
FURTHER PROCESSED SAWNWOOD
0
0
0
0
13.1.C
Coniferous
1094.8115183461
871.0186163137
7.02325009
20.4911879335
13.1.C
Coniferous
13.1.NC
Non-coniferous
1476.5859409573
935.7742454088
122.9815655578
113.4847984184
13.1.NC
Non-coniferous
13.1.NC.T
of which: Tropical
33.4864637682
17.9751394744
0
0.3767977798
13.1.NC.T
of which: Tropical
13.2
WOODEN WRAPPING AND PACKAGING MATERIAL
3781.2943624404
5456.7850892012
2880.5379469168
5421.1851026089
13.2
WOODEN WRAPPING AND PACKAGING MATERIAL
13.3
WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
929.8694406605
757.8342155477
67.168069257
34.9770642446
13.3
WOOD PRODUCTS FOR DOMESTIC/DECORATIVE USE
13.4
BUILDER’S JOINERY AND CARPENTRY OF WOOD1
12004.2342166272
12879.0069425461
1367.1380263797
1815.3483059399
13.4
BUILDER’S JOINERY AND CARPENTRY OF WOOD1
13.5
WOODEN FURNITURE
84292.1824667743
35699.6529322455
266551.03722333
49956.1859505332
13.5
WOODEN FURNITURE
13.6
PREFABRICATED BUILDINGS OF WOOD
10.6687401898
32.6892027074
3.7061837899
3.1330583706
13.6
PREFABRICATED BUILDINGS OF WOOD
13.7
OTHER MANUFACTURED WOOD PRODUCTS
3655.1627959624
3348.3924033122
884.3143096971
1124.5597474147
13.7
OTHER MANUFACTURED WOOD PRODUCTS
14
SECONDARY PAPER PRODUCTS
14
SECONDARY PAPER PRODUCTS
14.1
COMPOSITE PAPER AND PAPERBOARD
110.5156877851
244.3890005024
4.206903054
314.7703340795
14.1
COMPOSITE PAPER AND PAPERBOARD
14.2
SPECIAL COATED PAPER AND PULP PRODUCTS
5728.1178103236
8826.9264977364
1068.4396284703
1177.1580684819
14.2
SPECIAL COATED PAPER AND PULP PRODUCTS
14.3
HOUSEHOLD AND SANITARY PAPER, READY FOR USE
20546.6647847461
25864.4850507391
1888.1209757956
3005.4108861143
14.3
HOUSEHOLD AND SANITARY PAPER, READY FOR USE
14.4
PACKAGING CARTONS, BOXES ETC.
28359.5697519615
28365.129545634
8642.4279361253
10756.5867612471
14.4
PACKAGING CARTONS, BOXES ETC.
14.5
OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE
13379.9466067624
15154.5354539737
2879.8628504381
3666.6186293942
14.5
OTHER ARTICLES OF PAPER AND PAPERBOARD, READY FOR USE
9899.6681093972
10568.5934333976
2686.2613483964
3489.4268475702
14.5.1
of which: PRINTING AND WRITING PAPER, READY FOR USE
2137.8934933232
2904.1850108259
164.9638949812
131.9662584599
14.5.1
of which: PRINTING AND WRITING PAPER, READY FOR USE
14.5.2
of which: ARTICLES, MOULDED OR PRESSED FROM PULP
1132.6156547199
1483.6325921454
23.3138427104
43.5555620767
14.5.2
of which: ARTICLES, MOULDED OR PRESSED FROM PULP
14.5.3
of which: FILTER PAPER AND PAPERBOARD, READY FOR USE
209.7693493221
198.1244176048
5.3237643501
1.6699612875
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.
New loan options with Performance-Based Payments (PBPs) will be made available to Small and Medium-sized Enterprises (SMEs) and seven target groups of creditworthy but underserved individuals/households from North Macedonia. The loans are to be used for investments in renewable energy (RE) and energy efficiency (EE) solutions, such as: photovoltaics, heat pumps, inverters, solar panels, efficient heating systems, etc.
On 4 October 2023, North Macedonia became the 28th country to join the UNECE-WHO/Europe Protocol on Water and Health, thus committing to drive action on water, sanitation and hygiene, protecting its natural resources and fostering a healthier environment for its citizens.
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:
Macedonia
Country:
Macedonia
Specify Currency and Unit of Value (e.g.:1000 US $):
1000 US$
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
2019
2020
2019
2020
code
2019
2020
2019
2020
code
2019
2020
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
Quantity
Value
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
50
2,662
30
3,368
0
180
1
232
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
0
0
0
0
0
0
0
0
1
ROUNDWOOD (WOOD IN THE ROUGH)
1000 m3ub
808
765
1.1
WOOD FUEL (INCLUDING WOOD FOR CHARCOAL)
1000 m3ub
16
1,693
18
1,914
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
665
628
1.1.C
Coniferous
1000 m3ub
10
1,263
12
1,466
1.1.C
Coniferous
1000 m3ub
1.1.C
Coniferous
1000 m3ub
32
38
1.1.NC
Non-Coniferous
1000 m3ub
6
430
5
448
1.1.NC
Non-Coniferous
1000 m3ub
1.1.NC
Non-Coniferous
1000 m3ub
633
589
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
34
969
13
1,454
0
180
1
232
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
0
0
0
0
0
0
0
0
1.2
INDUSTRIAL ROUNDWOOD
1000 m3ub
143
137
1.2.C
Coniferous
1000 m3ub
33
866
10
1,217
1.2.C
Coniferous
1000 m3ub
1.2.C
Coniferous
1000 m3ub
81
61
1.2.NC
Non-Coniferous
1000 m3ub
1
103
2
237
0
180
1
232
1.2.NC
Non-Coniferous
1000 m3ub
1.2.NC
Non-Coniferous
1000 m3ub
63
76
1.2.NC.T
of which: Tropical
1000 m3ub
1
117
1.2.NC.T
of which: Tropical
1000 m3ub
1.2.NC.T
of which: Tropical
1000 m3ub
0
1
2
WOOD CHARCOAL
1000 t
860
397
723
407
2
WOOD CHARCOAL
1000 t
2
WOOD CHARCOAL
1000 t
860
723
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
0
209
0
208
0
7
0
8
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
0
0
0
0
0
0
0
0
3
WOOD CHIPS, PARTICLES AND RESIDUES
1000 m3
0
0
3.1
WOOD CHIPS AND PARTICLES
1000 m3
0
202
0
194
3.1
WOOD CHIPS AND PARTICLES
1000 m3
3.1
WOOD CHIPS AND PARTICLES
1000 m3
0
0
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
0
8
0
14
0
7
0
8
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
3.2
WOOD RESIDUES (INCLUDING WOOD FOR AGGLOMERATES)
1000 m3
-0
0
4
RECOVERED POST-CONSUMER WOOD
1000 t
2
1
6
2
4
RECOVERED POST-CONSUMER WOOD
1000 t
4
RECOVERED POST-CONSUMER WOOD
1000 t
2
6
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
77,044
14,244
92,530
17,348
669
129
347
69
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
0
0
0
0
0
0
0
0
5
WOOD PELLETS AND OTHER AGGLOMERATES
1000 t
76,375
92,183
5.1
WOOD PELLETS
1000 t
74,808
13,837
90,882
17,031
555
109
242
50
5.1
WOOD PELLETS
1000 t
5.1
WOOD PELLETS
1000 t
74,253
90,640
5.2
OTHER AGGLOMERATES
1000 t
2,236
407
1,648
317
114
20
105
19
5.2
OTHER AGGLOMERATES
1000 t
5.2
OTHER AGGLOMERATES
1000 t
2,121
1,543
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
87
4,778
184
4,057
5
1,517
19
1,278
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
0
0
0
0
0
0
0
0
6
SAWNWOOD (INCLUDING SLEEPERS)
1000 m3
87
171
6.C
Coniferous
1000 m3
27
3,406
75
2,815
0
15
3
29
6.C
Coniferous
1000 m3
6.C
Coniferous
1000 m3
27
71
6.NC
Non-Coniferous
1000 m3
59
1,372
110
1,243
5
1,502
15
1,249
6.NC
Non-Coniferous
1000 m3
6.NC
Non-Coniferous
1000 m3
60
99
6.NC.T
of which: Tropical
1000 m3
1
238
83
419
0
0
6.NC.T
of which: Tropical
1000 m3
6.NC.T
of which: Tropical
1000 m3
1
83
7
VENEER SHEETS
1000 m3
91
2,015
10
2,162
1
400
1
472
7
VENEER SHEETS
1000 m3
0
0
0
0
0
0
0
0
7
VENEER SHEETS
1000 m3
90
9
7.C
Coniferous
1000 m3
0
32
0
23
0
23
7.C
Coniferous
1000 m3
7.C
Coniferous
1000 m3
0
0
7.NC
Non-Coniferous
1000 m3
91
1,983
10
2,140
1
376
1
472
7.NC
Non-Coniferous
1000 m3
7.NC
Non-Coniferous
1000 m3
90
9
7.NC.T
of which: Tropical
1000 m3
0
0
0
0
7.NC.T
of which: Tropical
1000 m3
7.NC.T
of which: Tropical
1000 m3
0
0
8
WOOD-BASED PANELS
1000 m3
566
42,637
609
43,527
2
332
25
228
8
WOOD-BASED PANELS
1000 m3
0
0
0
0
0
0
0
0
8
WOOD-BASED PANELS
1000 m3
564
585
8.1
PLYWOOD
1000 m3
51
4,282
126
4,580
0
19
1
72
8.1
PLYWOOD
1000 m3
0
0
0
0
0
0
0
0
8.1
PLYWOOD
1000 m3
51
126
8.1.C
Coniferous
1000 m3
23
1,961
41
1,596
0
5
0
31
8.1.C
Coniferous
1000 m3
8.1.C
Coniferous
1000 m3
23
41
8.1.NC
Non-Coniferous
1000 m3
28
2,321
85
2,985
0
14
0
41
8.1.NC
Non-Coniferous
1000 m3
8.1.NC
Non-Coniferous
1000 m3
28
85
8.1.NC.T
of which: Tropical
1000 m3
5
852
33
624
0
2
0
20
8.1.NC.T
of which: Tropical
1000 m3
8.1.NC.T
of which: Tropical
1000 m3
5
33
8.2
PARTICLE BOARD, ORIENTED STRAND BOARD (OSB) AND SIMILAR BOARD
1000 m3
156
20,805
107
21,356
1
183
24
110
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
155
83
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
5
710
11
967
3
10
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
8.2.1
of which: ORIENTED STRAND BOARD (OSB)
1000 m3
5
8
8.3
FIBREBOARD
1000 m3
359
17,549
377
17,591
1
130
1
46
8.3
FIBREBOARD
1000 m3
0
0
0
0
0
0
-11
0
8.3
FIBREBOARD
1000 m3
358
376
8.3.1
HARDBOARD
1000 m3
68
6,150
165
6,212
0
17
0
24
8.3.1
HARDBOARD
1000 m3
8.3.1
HARDBOARD
1000 m3
68
164
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
214
5,170
93
4,792
1
14
0
6
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
8.3.2
MEDIUM/HIGH DENSITY FIBREBOARD (MDF/HDF)
1000 m3
213
93
8.3.3
OTHER FIBREBOARD
1000 m3
77
6,230
119
6,587
0
99
11
16
8.3.3
OTHER FIBREBOARD
1000 m3
8.3.3
OTHER FIBREBOARD
1000 m3
77
109
9
WOOD PULP
1000 t
122
156
68
146
52
87
56
101
9
WOOD PULP
1000 t
0
0
0
0
0
0
0
0
9
WOOD PULP
1000 t
70
12
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
10
7
6
5
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
9.1
MECHANICAL AND SEMI-CHEMICAL WOOD PULP
1000 t
10
6
9.2
CHEMICAL WOOD PULP
1000 t
112
149
61
141
52
87
56
101
9.2
CHEMICAL WOOD PULP
1000 t
0
0
0
0
0
0
0
0
9.2
CHEMICAL WOOD PULP
1000 t
60
6
9.2.1
SULPHATE PULP
1000 t
46
40
0
18
1
1
9.2.1
SULPHATE PULP
1000 t
9.2.1
SULPHATE PULP
1000 t
45
0
9.2.1.1
of which: BLEACHED
1000 t
46
40
0
18
1
1
9.2.1.1
of which: BLEACHED
1000 t
9.2.1.1
of which: BLEACHED
1000 t
45
0
9.2.2
SULPHITE PULP
1000 t
66
109
61
122
51
86
56
101
9.2.2
SULPHITE PULP
1000 t
9.2.2
SULPHITE PULP
1000 t
14
6
9.3
DISSOLVING GRADES
1000 t
9.3
DISSOLVING GRADES
1000 t
9.3
DISSOLVING GRADES
1000 t
0
0
10
OTHER PULP
1000 t
421
169
257
167
250
110
112
51
10
OTHER PULP
1000 t
0
0
0
0
0
0
0
0
10
OTHER PULP
1000 t
171
145
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
228
84
113
38
250
110
112
51
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
10.1
PULP FROM FIBRES OTHER THAN WOOD
1000 t
-22
1
10.2
RECOVERED FIBRE PULP
1000 t
193
85
144
129
10.2
RECOVERED FIBRE PULP
1000 t
10.2
RECOVERED FIBRE PULP
1000 t
193
144
11
RECOVERED PAPER
1000 t
10,559
1,349
4,641
541
35,228
3,653
22,002
2,025
11
RECOVERED PAPER
1000 t
11
RECOVERED PAPER
1000 t
-24,668
-17,361
12
PAPER AND PAPERBOARD
1000 t
70,839
55,994
67,688
49,837
17,026
10,013
16,350
8,864
12
PAPER AND PAPERBOARD
1000 t
0
0
0
0
0
0
0
0
12
PAPER AND PAPERBOARD
1000 t
53,841
51,366
12.1
GRAPHIC PAPERS
1000 t
17,775
15,970
15,458
13,120
647
598
212
256
12.1
GRAPHIC PAPERS
1000 t
0
0
0
0
0
0
0
0
12.1
GRAPHIC PAPERS
1000 t
17,128
15,246
12.1.1
NEWSPRINT
1000 t
2,506
1,510
2,208
1,187
57
40
63
52
12.1.1
NEWSPRINT
1000 t
12.1.1
NEWSPRINT
1000 t
2,449
2,145
12.1.2
UNCOATED MECHANICAL
1000 t
400
327
355
299
320
246
31
34
12.1.2
UNCOATED MECHANICAL
1000 t
12.1.2
UNCOATED MECHANICAL
1000 t
80
324
12.1.3
UNCOATED WOODFREE
1000 t
8,572
8,330
7,647
6,827
99
128
71
90
12.1.3
UNCOATED WOODFREE
1000 t
12.1.3
UNCOATED WOODFREE
1000 t
8,473
7,576
12.1.4
COATED PAPERS
1000 t
6,298
5,802
5,247
4,807
171
184
47
80
12.1.4
COATED PAPERS
1000 t
12.1.4
COATED PAPERS
1000 t
6,127
5,200
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
3,885
4,402
4,043
4,306
112
145
20
23
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
12.2
HOUSEHOLD AND SANITARY PAPERS
1000 t
3,773
4,023
12.3
PACKAGING MATERIALS
1000 t
48,429
31,935
47,610
29,171
16,257
9,216
16,112
8,570
12.3
PACKAGING MATERIALS
1000 t
0
0
0
0
0
0
0
0
12.3
PACKAGING MATERIALS
1000 t
32,200
31,526
12.3.1
CASE MATERIALS
1000 t
25,139
11,292
24,660
9,646
9,942
4,067
11,180
4,406
12.3.1
CASE MATERIALS
1000 t
12.3.1
CASE MATERIALS
1000 t
15,206
13,488
12.3.2
CARTONBOARD
1000 t
13,273
11,803
13,380
11,210
215
237
67
147
12.3.2
CARTONBOARD
1000 t
12.3.2
CARTONBOARD
1000 t
13,058
13,313
12.3.3
WRAPPING PAPERS
1000 t
9,017
8,146
8,741
7,746
5,970
4,810
4,716
3,924
12.3.3
WRAPPING PAPERS
1000 t
12.3.3
WRAPPING PAPERS
1000 t
3,065
4,045
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
1,000
694
829
569
130
102
149
93
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
12.3.4
OTHER PAPERS MAINLY FOR PACKAGING
1000 t
870
680
12.4
OTHER PAPER AND PAPERBOARD N.E.S. (NOT ELSEWHERE SPECIFIED)
1000 t
749
3,688
577
3,240
9
54
6
15
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)
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
ii. People
Slobodan Malevski and Branko Hinic (State Statistical office of the North Macedonia)
Languages and translations
English
Employees of the Future-Organization of work
Brussels, 11-13 October 2022
Slobodan Malevski and Branko Hinic
Contents
• Introduction
• Organization of work
• Impact of new work conditions - Initial findings
• Employees of the future
• Conclusions
Employees of the Future-Organization of work
Introduction
-Impact of the Covid-19 pandemic on:
• Overall statistical system
• Organizational structure of the SSO
• Creating of the new type of employee
Employees of the Future-Organization of work
Introduction
• The current COVID-19 pandemic, which was at its peak in the period 2020-
2021, had a huge impact on the overall statistical system in our country. In
terms of the topic of this workshop, there was a particular impact on the
functioning of the statistical organisation, as well as on the functioning and
behaviour of the employees in the institution.
• The work process had to be organised in such a way that all planned statistical
surveys, planned training courses, etc., could be carried out, while keeping
the employees protected as much as possible from unwanted infections and
contagious diseases.
• The experiences gained from the new way of working gave the Office certain
knowledge and information that can be useful in formulating a new concept
of the organisational structure of the State Statistical Office, especially the
possibility of working from home.
Employees of the Future-Organization of work
Organization of work
-The work process was organised in a way that enabled the full accomplishment
of the work obligations, while at the same time the employees were protected as
much as possible at their workplace.
-One of the main measures was that the work process was organised into weekly
rotation of employees, enabling them to work at the Office and from home.
-The purpose of the rotation was to reduce the concentration of employees in
the Office in order to avoid the possibility of infection.
-Special attention was paid to the protection of the interviewers (temporarily
hired persons).
Employees of the Future-Organization of work
Impact of new work conditions - initial findings
• For the majority of employees, the daily presence at the workplace is
necessary for developing and nurturing social and human communication
between employees, as well as teamwork.
• At the same time, it is interesting that a decrease was observed in the
productivity of the employees who worked from home. The reasons for this
cannot be determined exactly, but the first findings say that the people who
worked from home also use part of their working time for doing private work,
and what is quite interesting, some employees spent part of their working
time to prove to their immediate managers that they are engaged to perform
their work duties.
Employees of the Future-Organization of work
Impact of new work conditions - initial findings
• The obtained knowledge also says that work from home can be organized for
employees who work on analytical tasks and for whom daily contact with
employees is not necessary.
• It must be noted that the given findings are not fully and empirically proven,
that is, it will take a certain period of time for them to be proven and
supported to the end.
Employees of the Future-Organization of work
Employee of the future
• The tendency in statistical production, in addition to the traditional way of
collecting statistical information, is to increasingly use administrative data
sources, as well as data sources owned by large private companies.
• In order for the institution to exercise its competence, and also for the
employees to respond to the needs of the workplace, from the point of view
of the above, it will be necessary to acquire not only statistical skills and
knowledge from the workplace itself, but also to be trained to use modern
information technology equipment and software, during the preparation of
analyses. Such a combination will be of great importance not only for the
employees but also for the organisation itself in the future.
Employees of the Future-Organization of work
Employee of the future
• When one thinks of information skills, one thinks of the ability to
autonomously create software packages and to create and use tools for
processing databases.
• Furthermore, the acquired skills will enable the employees to use their
working time more efficiently and effectively, which will also help them
achieve other life goals outside of the daily work process.
• The employees who have the mentioned knowledge and skills are the target
of interest of private companies that offer competitive packages, which the
statistical institution in my country cannot provide, which is why we are facing
a big shortage of such staff. We would like to point out that training for these
people is extremely expensive and long-lasting.
Employees of the Future-Organization of work
Conclusions
• Working from home can be a modality for a certain number of employees,
especially for IT support staff.
• Building a qualified statistician will not be problematic for a statistical
institution. A big challenge for the statistical institution will be how to keep
them in the institution, that is, how to offer them an attractive and
competitive incentive package.
Republic of North Macedonia
State Statistical Office
Meeting of Group of Experts on Population and Housing Censuses , Geneva 21-23 September 2022
➢ Census of population, households and dwellings
2021 was not an option – it was a necessity.
➢ Use of the new combined census method was
implemented.
➢ For the first time, practical use of administrative
sources for census purposes, new technologies
for data collection through on-line electronic
channels as well as new organisation for census
data acquisition, requires enormous
organizational, intellectual and financial efforts,
which are applied into the Census.
➢ All activities planned for the Census were
completed on time (considering all
circumstances)- the SSO is satisfied with this
operation;
Planning
Twining, IPA
2015
Preparation
2017
Testing
Pilot Census –
April,2019/ June
2021
Census- April 2020,
April 2021,
September, 2021
Census 2021 – Overview
➢ New combined census method – (combination of data from
multiple administrative data sources-(pre census data base), with full
field enumeration was implemented.)
➢ New technologies for acquisition of the census data – (new
architecture of the IT system, online application, CAPI method using
laptops +web application for self-enumeration of the citizens of the
Republic of North Macedonia who are absent abroad.)
➢ Increasing importance of outsourcing - (public tender,
consortium of 3 IT firms contractors + 1 for web. application )
➢ Pilot Census – (14 -30 June 2019;)
➢ Census Low - January 2021;
➢ Census Methodology and census questionnaires - February
2021
➢ COVID 19 - protocol
➢Organization of field activities – (public announcement,
selection of candidates, training, field work)
➢Public relations and media coverage
➢General evaluation of enumerator’s field work
➢ Census data processing- less than 6 months
➢Dissemination plans – publication of the census data, 30 March
2021
Census 2021 – Overview
➢ Census Low, Methodology and Budget
Two main international methodological documents have been respected and almost fully implemented:
- Commission Implementing Regulation (EU) 2017/543 of 22 March 2017 laying down rules for the
application of Regulation (EC) No 763/2008 of the European Parliament and of the Council on
population and housing censuses as regards the technical specifications of the topics and of their
breakdowns
- Conference of European Statisticians Recommendations for the 2020 Censuses of Population and
Housing, United Nations, New York and Geneva, 2015.
➢It is important to state here the Eurostat position:
‘’The Census Law and the Methodology were recently shared with Eurostat. In most respects, they are
broadly compliant with the relevant standards defined in the European Union's statistical legislation,
although EU legislation is not yet binding on North Macedonia as a candidate country“.
➢Census Budget- 8.5 millions euro i.e 4.1 euro per capita
Census questionnaires, methodology and harmonization with
UNECE Recommendations 2020 and EU legislation on the 2021
population and housing censuses
➢ Enumeration of North Macedonian citizens living abroad is an
innovative solution which could be followed by other countries
that face huge emigration and lack quality and updated data on
citizen outflows.
➢Actual stay of at least 12 months before the reference date
is the time threshold for determining usual residence in the
case of international immigration. The same
methodological solution is applied for respondents living
abroad.
➢In general, also the definitions and classifications of census
variables from EU Regulation and UNECE Recommendations are
harmonised with international standards.
Architecture of the IT system
The system contains the modules for:
➢User administration
➢Address data – GIS
➢Building data
➢Dwelling data
➢ List of members of household
➢ Enumerated person
➢Household data
➢Control module
➢Validation rule
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Usage of the Pre-Census Database
❑Integral part of the Census data model
❑Census web data collection application retrieves
data on persons
❑PIN – used for effective and reliable linkage of
records from different administrative data sources:
✓ Employment Agency
✓ Ministry of Education and Science
✓ Public Revenue Office
✓ Ministry of Labor and Social Policy
✓ Pension and Insurance Fund
✓ Statistical survey on education
✓ Statistical survey on births
✓ Statistical Business Register
❑ Retrieved data for persons
✓ Personal data
✓ Residence address
✓ Country of birth
✓ Citizenship
✓ Work/Attending Education
✓ Social transfers
Conceptual model of the
Pre-Census Database
Usage of the Pre-Census Database
❑Easier data collection by having immediate access to
administrative data
❑Real-time data transfer and access to results
❑Real-time validation and increased response quality
❑Reduced limitations of time and available data
❑Possibility for dynamic data visualization and
analyses
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
GIS visualisation - Functionalities
❑Useful for enumerator to now what is
enumerated or not
❑Select centroid,
❑Corect address,
❑Change the status
❑Add centroid for new building with address
❑No possibilities to move or remove existing
centroids
❑Enumerator manually change the status
❑Different statuses of building centroids:
✓ Is not subject of enumeration
✓ The enumeration is finished
✓ The enumeration started but is not finished
✓ The building where enumerator enumerate
at the moment (automatically assigned)
Centroids structure
❑ObjectID
❑ID
❑Municipality (Code and Name)
❑Settlement (Code and Name)
❑EA number
❑Street (Code and Name)
❑House number, addition of HN
❑Status
❑Estimated number of dwellings
❑X, Y, User and Time Stamp
Census field activities
➢Field organizational started on 20 July - when the (50)
Regional Census Commissions are re-elected.
➢Public announcements for :
- 506 regional instructors and
- 5055 enumerators, has been published on 20 July – until
05 August.
➢Central application with crucial key variable included
(PIN) allow direct use of administrative data with
minimizing the errors and to remove duplications of the
registered candidates.
➢Due to the unexpected non-interest to candidate for
regional instructors and enumerators (there was lack of
field census staff in the 30 enumeration regions) the
announcement has been repeated three times:12.08.,
17.08. and 25.08 2021
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Census field activities
➢ Only 4 017 candidates applied.
➢The testing of the registered candidates was
implemented: 19-20.08.2021.
➢ Training of the census participants:
➢ 150 state instructors: 14- 20 .08. 2021(in multiple
groups due to COVID – 19 protocols) in SSO
➢ Early enumeration of certain categories of the
population in the country (prisoners, soldiers and
homeless people) – 28 August to 4 September 2021
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Self-enumeration of Macedonian citizens
abroad
➢ Specially created web application by outsourcing
company - for easy access and filling in the required
data.
➢ Application was also used for enumeration of
diplomatic representatives and other officials sent
abroad by government or other
institutions/enterprises (including their family
members).
➢ Registration using PIN and e-mail address of the
person are pre-condition for partaking in
selfenumeration.
➢ Registration is possible only from outside the
country, filtered by IP address (access from North
Macedonia is disabled);
➢ By registration also all household members of the
registered person shall be enumerated by using their
PINs (persons without North Macedonian PIN cannot
be enumerated);
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Self-enumeration of Macedonian citizens abroad
➢Simple guidelines (in Macedonian and Albanian languages)
in the form of short video are available from first page of
special website dedicated to the Census 2021;
➢More detailed guidelines in Macedonian and Albanian are
attached to the video ;
➢The application is available in 8 languages – the seven
languages used in North Macedonia and English.
➢The SSO disseminates on daily basis information on the
number of MKD citizens who used the possibility to
participate in the national count.
➢The self-enumeration lasted from 1 April to 30 September
➢A total of 204 805 self-enumerated Macedonian citizens
➢Successful start on 5 September: 95 000 people
enumerated in one day.
➢Technical issues;
➢Cyber attacks;
➢Enumerators quitting;
➢Most successful days: 11 and 12 September with
109 000 and 111 000 enumerated people.
➢Average number of members per household – 3.2
members
➢Average enumeration time for a four-member household
17-20 minutes.
➢In general, the respondents were very well informed
about the census and they welcomed enumerators.
➢COVID protocols were respected by all enumerators.
➢From 24 September – enumeration in the headquarters
of the Regional Census Commissions and at the SSO –
19 000 enumerated persons.
Monitoring system
➢Very effective monitoring system which allows
to extract information on field work at any point
of time by selecting starting time and current
time.
➢Number of enumerators currently working ;
➢Number of enumerated persons per
enumerator ;
➢Number of already enumerated persons
during the selected time period.
➢The total number of enumerated persons is
displayed at all times;
➢5 types of the census monitoring reports per
enumerator/ EA.
➢Dashboard - for visualisation.
➢Ticket support system
➢Viber
The media and the general public - the biggest
and most important observers of the entire
process
- Special website Census 2021
- Media campaign for Census 2021
- Intensive campaign on social networks
- Constant contact with the media and media coverage
throughout the country
- Info-centre available from 8 am to 10 pm for the Census
in the country, as well as for the enumeration of
Macedonian citizens abroad
- Daily presence of representatives of the Office in TV
shows, news, articles
- Appropriate and dedicated presentation of the census
activities by all media - local, national, regional
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Census Data processing -much more demanding
and complex;
➢ Procedure for data processing has been adopted;
➢ Strategic document has been developed were
main principles of data processing in the broader
sense and every principle has been elaborated
more detailed;
➢ Original data from the field or web are stored
without any statistical processing;
➢ By comparing original datasets and final census
outputs it is possible to follow on a very simple
way every change of data for any variable that
occurred during the statistical data processing;
➢ Much faster and controlled data editing as all input
databases already exist in electronic form.
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Main principals of census data processing
➢ Determine the structure of the primary datasets (field
data and web data)
➢ Harmonization of primary datasets = metadata
description (name of variables, format, topics,
classifications used)
➢ Determine the structure of integrated processing working
environment (variables from primary datasets + derived
(working) variables) + variables from administrative data
sources + metadata)
➢ Data integration;
➢ Checking completeness, uniqueness and adequacy of the
PIN;
➢ Determine usual residence population using step by step
methodology;
➢ Determine the original residency status of each record in
integrated database based on selected variables before
data processing.
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Main principals of census data processing
➢ Solving double counting;
➢ Calculation of the quality indicator Usual residency
status from records available in different
administrative data sources.
➢ The quality indicator is calculated on the basis of six
quality indicators derived for each individual
database. Two main criteria were included to set up
the methodology:
- Hierarchy of the sources - three main quality
components have been elaborated (relevance,
coverage and timeliness);
- Date of the last update – taking into account the
census methodology to determine usual resident
population (12 months);
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Main principals of census data processin
➢ Five categories in terms of trust ability, that person
numerated in the field has also so-called ‘sign of life’
in administrative records:
- Completely trustable
- Trustable
- Less trustable
- Non-trustable
- Not available in any data source
➢ Verification of suspicious records, particularly those
not available in any administrative data source - for
solving over coverage.
➢ Determination of the final indicator of the usual
resident population and linkage of the usual
resident population to the updated pre-census
database to detect under-coverage.
➢ Solving expected under-coverage;
CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Main principals of census data processin
➢ Statistical editing only with records on usual
resident population.Data that are not the subject of
data editing are : age, sex, nationality, religion,
mother tongue, language spoken and disability.
➢ Determination of location of usual resident
population.
➢ Statistical editing of households/families is the last
stage of population data processing.
➢ Transparent statistical processing with main aim to
establish public trust and credibility of final
outcomes;CENSUS 2021
05 – 30 SEPTEMBER
Republic of North Macedonia
State Statistical Office
Dissemination of the Census data
❑The Programme for data dissemination is being
prepared;
❑Setting-up the final dissemination databases for
individual census units;
❑Publication the definitive data from the Census 2021
– 30 March 2021.
- New release, pamphlet,
- new organization data set for the Census 2021 in
the MAKSTATdata base
- data of the usual residents only , by age, sex and
ethnicity at national ,region and municipality level.
❑Five final databases should be set-up with data from
processing phase + derived data that are useful for
dissemination:
Through the project IPA MB 2017 - enabled presence
and professional support of the expert Danilo Dolenc
from Slovenia- in the entire census process:
preparation, implementation, processing and
dissemination of data from the Census 2021.
Совещание Группы экспертов по переписям населения и жилого фонда, Женева, 21–23 сентября 2022 г.
➢ Перепись населения, домохозяйств и жилого фона
2021 года стала не одним из вариантов, а была
необходимостью.
➢ Был внедрен новый комбинированный метод
переписи.
➢ Впервые в целях проведения переписи на практике
использовали административные источники данных,
новые технологии сбора данных по электронным
каналам Интернет-связи, а также по-новому
организовали сбор данных переписи: всё это
требует огромных организационных,
интеллектуальных и финансовых усилий, которые
прилагаются в рамках переписи.
➢ Все мероприятия, запланированные для проведения
переписи, были выполнены в срок (с учетом всех
обстоятельств) — Государственное статистическое
управление (ГСУ) довольно результатами этих работ.
Планирование
твининговой
программы,
проект МТП — IPA
2015
Подготовка
2017
Тестирование
Пилотная перепись –
апрель 2019 г./ июнь
2021 г.
Перепись — апрель
2020 г., апрель 2021
г., сентябрь 2021 г.
Перепись 2021 года – обзор
➢ Новый комбинированный метод переписи – (объединены данные,
полученные из ряда административных источников данных (база
данных предварительной переписи) и проведена полная перепись на
местах.)
➢ Новые технологии для сбора данных переписи – (новая
архитектура ИТ-системы, онлайн-приложение, метод CAPI
(компьютеризированный персональный опрос) с использованием
ноутбуков и веб-приложения для самопереписи граждан Республики
Северная Македония, находящихся за границей.)
➢ Возрастающее значение аутсорсинга (передача части работ на
подряд) — (открытый тендер, консорциум из 3 подрядчиков (ИТ-фирм)
+ 1 для разработки веб-приложения)
➢ Пилотная перепись – (14–30 июня 2019 г.);
➢ Подготовка к переписи — январь 2021 г.;
➢Методология переписи и переписные листы — февраль 2021 г.
➢Связи с общественностью и освещение в СМИ
➢Общая оценка полевых работ переписчиков
➢ Обработка данных переписи — менее 6 месяцев
➢Планы распространения данных — публикация данных переписи, 30
марта 2021 г.
Перепись 2021 года – обзор
➢ Подготовка переписи, методология и бюджет
Были соблюдены и почти полностью реализованы два основных международных методологических
документа:
- Исполнительный регламент Комиссии (ЕС) 2017/543 от 22 марта 2017 г., устанавливающий
правила применения Регламента (ЕС) № 763/2008 Европейского парламента и Совета о
переписях населения и жилого фонда в отношении технических спецификаций тем переписи
и разбивки данных;
- Рекомендации Конференции европейских статистиков по проведению переписей населения
и жилого фонда 2020 года, Организация Объединенных Наций, Нью-Йорк и Женева, 2015 г.
➢Здесь важно изложить позицию Евростата:
«Закон «О переписи» и методология были недавно предоставлены Евростату. В большинстве
случаев они в целом соответствуют применимым стандартам, определенным в статистическом
законодательстве Европейского Союза, хотя законодательство ЕС еще не является обязательным
для Северной Македонии как для страны-кандидата».
➢Бюджет переписи: 8,5 млн евро, т.е. 4,1 евро на душу населения.
Анкеты переписи, методология и гармонизация с Рекомендациями
ЕЭК ООН 2020 и законодательством ЕС о переписях населения и
жилого фонда 2021 года
➢ Перепись граждан Северной Македонии, проживающих за
границей, является новаторским решением, которому могли бы
последовать другие страны, столкнувшиеся с огромной эмиграцией и
не располагающие качественными и актуализированными данными
об оттоке граждан.
➢Фактическое пребывание за рубежом не менее 12 месяцев до
базисной даты является временным порогом для определения
обычного места жительства в случае эмиграции. Такое же
методологическое решение применяется к респондентам,
проживающим за границей.
➢В целом определения и классификация переменных переписи,
указанные в Регламенте ЕС и в Рекомендациях ЕЭК ООН, также
приведены в соответствие с международными стандартами.
Архитектура ИТ-системы
Система содержит следующие модули:
➢Администрирование пользователей
➢Адресные данные – ГИС
➢Данные о здании
➢Данные о жилье
➢Список членов семьи
➢Лицо, прошедшее перепись
➢Данные домохозяйства
➢Контрольный модуль
➢Правило валидации (проверки данных)
ПЕРЕПИСЬ
2021 ГОДА
05 – 30 СЕНТЯБРЯ
Республика Северная
Македония
Государственное статистическое
управление
Использование базы данных, собранных до
переписи
❑Неотъемлемая часть модели данных переписи
❑Веб-приложение для сбора данных переписи позволяет
извлечь данные о физических лицах
❑PIN — используется для эффективной и надежной увязки
записей из различных источников административных данных:
✓ Агентство по трудоустройству
✓ Министерство образования и науки
✓ Управление государственных доходов
✓ Министерство труда и социальной политики
✓ Пенсионно-страховой фонд
✓ Статистическое обследование в сфере образования
✓ Статистическое обследование фактов рождения
✓ Статистический регистр субъектов хозяйствования
❑ Данные, полученные по физическим лицам
✓ Личные данные
✓ Адрес места проживания
✓ Страна рождения
✓ Гражданство
✓ Работа/учеба
✓ Социальные трансферты
Концептуальная модель
базы данных, собранных до переписи
Использование базы данных, собранных до
переписи
❑Более простой сбор данных благодаря оперативному
доступу к административным данным
❑Передача данных и доступ к результатам в режиме
реального времени
❑Проверка данных в режиме реального времени и
улучшенное качество ответов
❑Сокращение сроков получения данных и расширенный
доступ к имеющимся данным
❑Возможность визуализации и анализа динамических
данных
ПЕРЕПИСЬ
2021 ГОДА
05 – 30 СЕНТЯБРЯ
Республика Северная
Македония
Государственное статистическое
управление
ГИС-визуализация — функциональные
возможности
❑Полезно для переписчика, чтобы знать, что уже
переписано / еще не переписано
❑Выбрать центроид,
❑Исправить адрес,
❑Изменить положение (статус)
❑Добавить центроид применительно к новому зданию
с адресом
❑Нет возможности перемещать или удалять
существующие центроиды
❑Переписчик меняет положение (статус) вручную
❑Различные статусы построения центроидов:
✓ Не подлежит переписи
✓ Перепись завершена
✓ Перепись началась, но не завершилась
✓ Здание, в котором в данный момент работает
переписчик (присваивается автоматически)
Структура центроидов
❑идентификатор объекта (ObjectID)
❑Идентификационный номер (ID)
❑Муниципалитет (код и название)
❑Населенный пункт (код и
наименование)
❑Номер переписного участка (EA
number)
❑Улица (код и название)
❑Номер дома, литера
❑Статус
❑Расчетное количество единиц жилого
фонда
❑X, Y, пользователь и отметка времени
Полевые мероприятия переписи
➢Организация полевых работ началась 20 июля, в день
переизбрания (50) региональных комиссий по переписи.
➢Общественное заявление:
- 506 инструкторов в регионах и
- 5 055 переписчиков,
- период публикации: 20 июля – 5 августа.
➢Центральное программное приложение с встроенной
важной ключевой переменной (PIN) позволяет использовать
административные данные напрямую, при этом сводя к
минимуму ошибки и удаляя дублирующиеся данные
зарегистрированных кандидатов.
➢В связи с неожиданным отсутствием интереса людей к тому,
чтобы стать районными инструкторами и переписчиками
(выездных переписчиков не хватало в 30 переписных участках)
объявление публиковалось трижды: 12.08.2021, 17.08.2021 и
25.08.2021.
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Полевые мероприятия переписи
➢ Всего подали заявки 4 017 кандидатов.
➢ Проведено тестирование зарегистрированных
кандидатов: 19-20.08.2021.
➢ Обучение участников переписи:
➢ 150 государственных инструкторов: 14-
20.08.2021 г. (в составе из нескольких групп из-за
протоколов обеспечения безопасности в
условиях COVID-19) в ГСУ
➢ 350 инструкторов в регионах: 24-26. 08.2021
➢ 3 700 переписчиков в регионах: 28.08- 31.08.2021
➢ Ранняя перепись отдельных категорий населения
страны (заключенных, военнослужащих и
бездомных): с 28.08.2021 по 04.09.2021 г.
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управление
Самоперепись граждан Македонии, находящихся за
границей
➢ Веб-приложение, специально созданное аутсорсинговой
(подрядной) компанией для удобства доступа и заполнения
необходимых данных.
➢ Приложение также использовалось для переписи работников
дипломатической службы и других должностных лиц,
направленных за границу правительством или другими
учреждениями/предприятиями (включая членов их семей).
➢ Регистрация с использованием PIN-кода и адреса электронной
почты лица является предварительным условием для участия в
самопереписи.
➢ Регистрация возможна только из-за пределов страны,
фильтрация осуществляется по IP-адресу (доступ с территории
Северной Македонии невозможен);
➢ При регистрации перепись проходят также все члены семьи
зарегистрированного лица; они должны быть зарегистрированы с
использованием их PIN-кодов (лица без северомакедонского PIN-
кода не регистрируются).
ПЕРЕПИСЬ
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Республика Северная
Македония
Государственное
статистическое управление
Самоперепись граждан Македонии, находящихся
за границей
➢Простые инструкции (на македонском и албанском языках) в
виде короткого видео доступны на первой странице
специального веб-сайта, посвященного переписи населения
2021 года;
➢К видео прилагаются более подробные письменные
инструкции на македонском и албанском;
➢Приложение доступно на 8 языках — семи языках,
используемых в Северной Македонии, и английском.
➢ГСУ ежедневно публикует информацию о количестве граждан
Македонии, воспользовавшихся возможностью участия в
общенациональной переписи.
➢Самоперепись проходила в период с 1 апреля по 30 сентября.
➢Всего 204 805 самопереписавшихся граждан Македонии.
➢Успешный старт 5 сентября: за один день было переписано
95 000 человек.
➢Технические проблемы;
➢Кибератаки;
➢Текучка кадров (переписчиков);
➢Самые удачные дни: 11 и 12 сентября переписано 109 000 и
111 000 человек соответственно.
➢Среднее количество членов семьи на домохозяйство: 3,2
человека.
➢Среднее время переписи в домохозяйстве из четырех
человек: 17-20 минут.
➢В целом респонденты были очень хорошо
проинформированы о переписи и были готовы принимать
переписчиков.
➢Протоколы проведения работ в условиях пандемии COVID-
19 соблюдались всеми переписчиками.
➢С 24 сентября – перепись в помещениях региональных
переписных комиссий и в ГСУ: 19 000 переписанных лиц.
Система мониторинга
➢Очень эффективная система мониторинга,
позволяющая извлекать информацию о полевых
работах в любой момент времени, выбирая время
начала и текущее время.
➢Количество переписчиков, работающих в настоящее
время;
➢Количество переписанных лиц на одного переписчика;
➢Количество уже переписанных лиц за выбранный
период времени.
➢Постоянно отображается общее количество
переписанных лиц;
➢5 типов отчетов о мониторинге переписи по каждому
переписчику / переписному участку.
➢Информационная панель — для визуализации
данных.
➢Система поддержки, основанная на тикетах (билетах)
➢Вайбер.
СМИ и широкая общественность — самые
масштабные и самые важные наблюдатели за
всем процессом
- Специальный вебсайт «Перепись 2021» (Census 2021).
- Кампания в СМИ, приуроченная и посвященная переписи
населения 2021 года.
- Интенсивная кампания в социальных сетях.
- Постоянный контакт со СМИ и освещение в СМИ по всей
стране.
- Во время проведения переписи в стране и переписи
граждан Македонии, находящихся за границей,
информационный центр работает с 8:00 до 22:00.
- Ежедневное появление представителей ГСУ в
телепередачах, новостях, статьях.
- Надлежащее и целенаправленное освещение мероприятий
переписи всеми СМИ: местными, национальными,
региональными.
ПЕРЕПИСЬ
2021 ГОДА
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Республика Северная
Македония
Государственное статистическое
управление
Обработка данных переписи — гораздо более
требовательная и сложная задача;
➢ Принята процедура обработки данных;
➢ Разработан стратегический документ, в котором основные
принципы обработки данных представлены более широко,
а каждый отдельный принцип описан более подробно;
➢ Исходные данные, полученные в ходе проведения полевых
работ, или из сети Интернет сохраняются без какой-либо
статистической обработки;
➢ Сравнивая исходные наборы данных и окончательные
результаты переписи, очень просто проследить каждое
изменение данных по любой переменной, которое
произошло во время статистической обработки данных;
➢ Гораздо более быстрое и контролируемое редактирование
данных, так как все входные базы данных уже есть в
электронном виде.
ПЕРЕПИСЬ
2021 ГОДА
05 – 30 СЕНТЯБРЯ
Республика Северная
Македония
Государственное статистическое
управление
Основные принципы обработки данных переписи
➢ Определение структуры первичных наборов данных (полевые
данные и веб-данные);
➢ Гармонизация первичных наборов данных = описание
метаданных (названия переменных, формат, темы, используемые
классификации);
➢ Определение структуры рабочей среды интегрированной
обработки данных (переменные из первичных наборов данных +
производные (рабочие) переменные) + переменные из
административных источников данных + метаданные);
➢ Интеграция данных.
➢ Проверка полноты, уникальности и адекватности ПИН-кода;
➢ Определение обычного населения по месту жительства,
используя пошаговую методологию;
➢ Перед обработкой данных определение исходного статуса
каждой записи в интегрированной базе данных на основе
выбранных переменных.
ПЕРЕПИСЬ
2021 ГОДА
05 – 30 СЕНТЯБРЯ
Республика Северная
Македония
Государственное статистическое
управление
Основные принципы обработки данных переписи
➢ Избежание двойного учета;
➢ Расчет показателя качества;
➢ Статус обычного проживающего присваивается на основе
записей, доступных в различных источниках
административных данных.
➢ Показатель качества рассчитывается на основе шести
показателей качества, полученных по каждой отдельной
базе данных. При разработке методологии использовались
два основных критерия:
- Иерархия источников — разработаны три основных
компонента качества (релевантность, охват и
своевременность);
- Дата последнего уточнения – с учетом переписной
методики определения обычного постоянного населения
(12 месяцев).
ПЕРЕПИСЬ
2021 ГОДА
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Республика Северная
Македония
Государственное статистическое
управление
Основные принципы обработки данных переписи
➢ Пять категорий с точки зрения доверия в плане того, что
это лицо, переписанное в полевых условиях, также имеет
так называемый «признак жизни» в административных
записях:
- Полностью заслуживающий доверия;
- Заслуживающий доверия;
- Менее заслуживающий доверия;
- Не заслуживающий доверия;
- Отсутствует во всех источниках данных.
➢ Проверка подозрительных записей, особенно тех, которые
отсутствуют в каком-либо источнике административных
данных, для решения проблемы чрезмерного охвата.
➢ Определение окончательного показателя постоянно
проживающего населения и привязка обычного постоянно
проживающего населения к актуализированной базе
данных предварительной переписи для выявления фактов
недостаточного охвата.
➢ Решение проблемы ожидаемого недостаточного охвата.
ПЕРЕПИСЬ
2021 ГОДА
05 – 30 СЕНТЯБРЯ
Республика Северная
Македония
Государственное статистическое
управление
Основные принципы обработки данных
переписи
➢ Статистическое редактирование только записей об
обычном постоянно проживающем населении.
Данные, не подлежащие редактированию: возраст,
пол, национальность, вероисповедание, родной язык,
владение другими языками и инвалидность.
➢ Определение местонахождения обычного постоянно
проживающего населения.
➢ Редактирование статистических данных
домохозяйств/семей является последним этапом
обработки данных о населении.
➢ Прозрачная статистическая обработка, преследующая
основную цель — сформировать общественное
доверие и обеспечить достоверность окончательных
результатов.
ПЕРЕПИСЬ
2021 ГОДА
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Республика Северная
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Государственное статистическое
управление
Распространение данных переписи
❑Готовится проект программы распространения данных;
❑Создание окончательных баз данных для публикации, в разбивке
по отдельным переписным единицам;
❑Публикация окончательных данных переписи 2021 года: 30 марта
2021 г.
- Новый выпуск, брошюра,
- Новый набор организационных данных для переписи 2021 года в
базе данных МАКСТАТ (Статистическое управление Македонии)
- Данные только об обычных жителях в разбивке по возрасту, полу
и этнической принадлежности на национальном, региональном и
муниципальном уровне.
❑Необходимо настроить пять окончательных баз данных с данными
этапа обработки + производными данными, которые подлежат
публикации:
В рамках проекта IPA MB 2017 на протяжении всего
процесса переписи с нами присутствовал и оказывал
нам профессиональную поддержку эксперт Данило
Доленца из Словении: он участвовал в процессах
подготовки, внедрения, обработки и
распространения данных переписи 2021 года.
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
