ILOSTAT - Labour force survey — Employment in forestry and logging — Male — Value by country

The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour...

Countries reporting
71
Highest
840.94 1000 No
India
Lowest
0.06 1000 No
Seychelles
Median
10.14 1000 No
Years covered
34
1992–2025
Data points
1,348

What the numbers show

ILOSTAT - Labour force survey — Employment in forestry and logging — Male — Value is currently reported for 71 countries. The highest value is 840.94 1000 No in India; the lowest is 0.06 1000 No in Seychelles.

The median across all reporting countries is 10.14 1000 No, and the mean is 42.8 1000 No.

The gap between the highest and lowest reporting country is a factor of about 14,016.

Over the past decade 38 countries rose and 32 fell. The largest increase was in Namibia (up 366.7%), and the largest decrease in Albania (down 90.7%).

ILOSTAT - Labour force survey — Employment in forestry and logging: full country ranking

#Country LatestYear 10-year changeTrend
1 India 840.94 1000 No 2024 up 44.3% rising
2 Indonesia 554.04 1000 No 2023 up 14.7% rising
3 Myanmar 140.54 1000 No 2020 up 7.9% falling
4 Mexico 137.21 1000 No 2024 up 21.0% rising
5 Bangladesh 122.17 1000 No 2024 up 64.8% rising
6 Thailand 116.15 1000 No 2024 down 2.2% falling
7 Pakistan 107.88 1000 No 2025 up 68.8% rising
8 Philippines 94.58 1000 No 2023 down 30.9% falling
9 South Africa 65.49 1000 No 2007 down 11.5% falling
10 Zambia 64.29 1000 No 2024 up 321.9% volatile
11 Belarus 57.91 1000 No 2024 up 3.8% falling
12 Japan 52.69 1000 No 2022 down 25.6% rising
13 Germany 44.36 1000 No 2024 up 45.3% falling
14 Romania 41.45 1000 No 2024 down 7.7% falling
15 Rwanda 37.93 1000 No 2024 up 78.3% rising
16 Czechia 32.08 1000 No 2024 up 39.0% falling
17 Poland 31.44 1000 No 2024 down 53.6% falling
18 Guatemala 30.59 1000 No 2024 up 332.7% volatile
19 Spain 29.94 1000 No 2024 up 29.2% falling
20 Colombia 29.59 1000 No 2025 down 17.3% falling
21 France 28.44 1000 No 2024 up 5.4% falling
22 Sweden 28.29 1000 No 2024 up 7.1% rising
23 Italy 26.61 1000 No 2024 down 42.6% falling
24 Finland 23.23 1000 No 2024 up 0.3% rising
25 United Kingdom of Great Britain and Northern Ireland 21.17 1000 No 2024 up 46.6% rising
26 Bulgaria 17.35 1000 No 2024 down 22.8% rising
27 Ecuador 17.17 1000 No 2025 down 6.7% rising
28 Hungary 16.41 1000 No 2024 down 14.4% rising
29 Bosnia and Herzegovina 16.09 1000 No 2024 up 45.9% rising
30 Serbia 15.77 1000 No 2019 up 161.1% rising
31 Latvia 14.8 1000 No 2024 down 5.8% falling
32 Slovak Republic 14.23 1000 No 2024 down 20.0% falling
33 Uruguay 12.37 1000 No 2024 up 19.1% rising
34 Zimbabwe 11.53 1000 No 2024 up 68.3% flat
35 Austria 11.28 1000 No 2024 up 33.6% rising
36 Croatia 10.14 1000 No 2024 down 15.9% flat
37 Sri Lanka 9.83 1000 No 2023 down 22.4% volatile
38 Portugal 9.38 1000 No 2025 down 17.6% rising
39 Angola 9.08 1000 No 2024 down 12.3% flat
40 Australia 7.14 1000 No 2024 down 17.6% falling
41 Norway 6.46 1000 No 2024 up 48.8% rising
42 Greece 6.44 1000 No 2024 up 30.4% falling
43 United Arab Emirates 6.06 1000 No 2022 down 70.5% volatile
44 Estonia 5.8 1000 No 2024 down 0.5% falling
45 Switzerland 5.68 1000 No 2024 down 39.3% rising
46 Lithuania 5.64 1000 No 2024 down 51.8% falling
47 Mali 5.48 1000 No 2023 up 176.8% volatile
48 Senegal 4.96 1000 No 2024 down 43.6% falling
49 Namibia 4.2 1000 No 2018 up 366.7% rising
50 Jamaica 3.45 1000 No 2014 up 107.8% rising
51 Denmark 3.35 1000 No 2024 up 18.8% rising
52 Panama 3.31 1000 No 2024 down 2.1% rising
53 Argentina 2.76 1000 No 2024 up 61.4% rising
54 Netherlands (Kingdom of the) 2.68 1000 No 2024 up 45.7% rising
55 North Macedonia 2.55 1000 No 2024 down 13.9% falling
56 Belgium 2.38 1000 No 2013 down 24.2% rising
57 Egypt 2.31 1000 No 2024 up 0.4% rising
58 Slovenia 2.19 1000 No 2024 down 35.0% falling
59 Ireland 2.08 1000 No 2018 up 8.3% rising
60 Mongolia 1.55 1000 No 2024 down 7.2% rising
61 Kyrgyzstan 1.52 1000 No 2023 up 3.4% flat
62 Costa Rica 1.41 1000 No 2025 down 58.4% falling
63 Bhutan 1.27 1000 No 2024 up 122.8% rising
64 Israel 1.13 1000 No 2024 up 130.6% flat
65 Dominican Republic 0.85 1000 No 2024 down 59.7% falling
66 Cyprus 0.7 1000 No 2024 up 34.6% rising
67 Georgia 0.46 1000 No 2024 down 69.7% falling
67 Mauritius 0.46 1000 No 2024 up 12.2% volatile
69 Palestine, State of 0.19 1000 No 2012 unchanged falling
70 Albania 0.15 1000 No 2023 down 90.7% volatile
71 Seychelles 0.06 1000 No 2023 up 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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ILOSTAT - Labour force survey — Employment in forestry and logging by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 21 August 2026, from https://environment.statizoid.com/stat/ilostat-labour-force-survey-employment-in-forestry-and-logging-male-value/

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About this data

Indicator
ILOSTAT - Labour force survey — Employment in forestry and logging — Male — Value
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
78 places, 1,348 data points, 1992–2025
Last refreshed

The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.