Forestry (general government expenditure) — Value Standard Local Currency by country
The Statistics Division of FAO collects annually data on Government Expenditure on Agriculture through a questionnaire, which was developed in partnership with the International Monetary Fund (IMF). The IMF is the responsible institution for the Government Finance Statistics (GFS) methodology and annually collects...
What the numbers show
Forestry (general government expenditure) — Value Standard Local Currency is currently reported for 34 countries. The highest value is 8.10 million million SLC in Indonesia; the lowest is 0 million SLC in Canada.
The median across all reporting countries is 857.25 million SLC, and the mean is 371,233 million SLC.
Over the past decade 27 countries rose and 6 fell. The largest increase was in Peru (up 47,061.8%), and the largest decrease in Canada (down 100.0%).
Forestry (general government expenditure) — Value Standard Local: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 8.10 million million SLC | 2024 | up 3,095.6% | volatile |
| 1 | Viet Nam | 3.94 million million SLC | 2022 | up 8.8% | rising |
| 2 | Myanmar | 328,877 million SLC | 2020 | up 122.7% | volatile |
| 2 | Republic of Moldova | 290 million SLC | 2024 | up 1,690.1% | volatile |
| 3 | Russian Federation | 69,242 million SLC | 2021 | up 48.6% | rising |
| 4 | Egypt | 58,384 million SLC | 2024 | up 983.6% | volatile |
| 5 | Pakistan | 42,869 million SLC | 2024 | up 625.0% | volatile |
| 6 | Paraguay | 31,778 million SLC | 2020 | up 566.0% | rising |
| 7 | Kazakhstan | 20,978 million SLC | 2015 | up 397.9% | volatile |
| 8 | Togo | 5,920 million SLC | 2018 | up 76.3% | rising |
| 9 | Colombia | 4,063 million SLC | 2024 | up 1.6% | volatile |
| 10 | Iceland | 2,458 million SLC | 2024 | — | rising |
| 11 | Armenia | 1,912 million SLC | 2022 | up 150.3% | rising |
| 12 | Albania | 1,345 million SLC | 2022 | up 80.0% | rising |
| 13 | Angola | 1,221 million SLC | 2024 | up 13,466.8% | volatile |
| 14 | Sweden | 1,193 million SLC | 2024 | up 15.5% | rising |
| 15 | Israel | 1,017 million SLC | 2024 | up 90.8% | rising |
| 16 | Kyrgyzstan | 861.5 million SLC | 2024 | up 263.2% | volatile |
| 17 | South Africa | 853 million SLC | 2023 | down 7.3% | rising |
| 18 | Guinea-Bissau | 842.26 million SLC | 2015 | up 1.8% | volatile |
| 19 | Switzerland | 556.14 million SLC | 2023 | up 12.3% | falling |
| 20 | Australia | 501 million SLC | 2024 | up 184.7% | rising |
| 21 | Peru | 358.43 million SLC | 2024 | up 47,061.8% | volatile |
| 22 | Mauritius | 184.5 million SLC | 2024 | down 3.4% | falling |
| 23 | Poland | 102 million SLC | 2023 | down 7.3% | rising |
| 24 | Slovakia | 58.73 million SLC | 2011 | up 369.1% | volatile |
| 25 | Brazil | 42.24 million SLC | 2024 | down 83.9% | rising |
| 26 | Turkmenistan | 36.75 million SLC | 2024 | up 123.8% | rising |
| 27 | Zambia | 24.31 million SLC | 2010 | up 1,159.6% | volatile |
| 28 | Denmark | 23.93 million SLC | 2024 | up 498.2% | volatile |
| 29 | Azerbaijan | 14.74 million SLC | 2022 | up 41.7% | rising |
| 30 | El Salvador | 1.3 million SLC | 2024 | up 128.9% | volatile |
| 31 | Grenada | 0.96 million SLC | 2024 | down 56.4% | falling |
| 32 | Canada | 0 million SLC | 2014 | down 100.0% | volatile |
About this data
The Statistics Division of FAO collects annually data on Government Expenditure on Agriculture through a questionnaire, which was developed in partnership with the International Monetary Fund (IMF). The IMF is the responsible institution for the Government Finance Statistics (GFS) methodology and annually collects GFS data, including Expenditure by Functions of Government (COFOG). The Classification of the Functions of Government (COFOG) is an international classification developed by Organisation for Economic Co-operation and Development (OECD) and published by the United Nations Statistical Division (UNSD), with the aim of categorise governments' functions according to their purposes. The FAO questionnaire aligns with Table 7 of the IMF GFS questionnaire, replicates the relevant aggregates and drills down to request additional detail related to Agriculture. The FAO dataset consists of a time series, from 2001 onwards, of Total Government Expenditure and expenditure in: Agriculture, Forestry, Fishing and Hunting, along with its three disaggregated subsectors of Agriculture, Forestry and Fishing; and Environmental Protection. In addition, expenditure in each detailed function are further disaggregated into Recurrent and Capital expenditure. Additional indicators include the Agriculture Share of Government Expenditure, and the Agriculture Orientation Index (ratio between the Agriculture Share of Government Expenditure and the Agriculture Value Added as Share of GDP). Data are reported for the highest level of government available (Consolidated general government, consolidated central government or budgetary central government) and are available for about 100 countries on a regular basis.