Forestry, Capital (central government expenditure) β Value US$ 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, Capital (central government expenditure) β Value US$ is currently reported for 49 countries. The highest value is 274.95 million USD in Israel; the lowest is -9.24 million USD in Australia.
The median across all reporting countries is 0.25 million USD, and the mean is 13.37 million USD.
The gap between the highest and lowest reporting country is a factor of about 30.
Over the past decade 14 countries rose and 20 fell. The largest increase was in Peru (up 22,750.0%), and the largest decrease in Australia (down 1,126.7%).
Forestry, Capital (central government expenditure) β Value US$: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Israel | 274.95 million USD | 2024 | up 84.5% | rising |
| 2 | Cuba | 118.58 million USD | 2019 | β | falling |
| 3 | Bangladesh | 98.53 million USD | 2024 | up 2,094.4% | volatile |
| 4 | Slovakia | 55 million USD | 2011 | up 4,408.2% | volatile |
| 5 | Peru | 31.99 million USD | 2024 | up 22,750.0% | volatile |
| 6 | Kenya | 22.24 million USD | 2024 | up 201.8% | volatile |
| 7 | Republic of Moldova | 14.65 million USD | 2024 | up 1,141.5% | volatile |
| 8 | Viet Nam | 9.88 million USD | 2022 | down 40.9% | volatile |
| 9 | Namibia | 6.82 million USD | 2024 | down 51.4% | volatile |
| 10 | Togo | 6.63 million USD | 2018 | up 131.8% | rising |
| 11 | Senegal | 5.13 million USD | 2024 | down 32.9% | volatile |
| 12 | Mali | 3.43 million USD | 2013 | up 209.0% | volatile |
| 13 | Kazakhstan | 2.92 million USD | 2015 | up 156.1% | volatile |
| 14 | Brazil | 2.78 million USD | 2024 | down 82.2% | volatile |
| 15 | Chile | 2.18 million USD | 2024 | down 48.0% | volatile |
| 16 | Fiji | 1.78 million USD | 2023 | up 439.4% | rising |
| 17 | Guinea | 1.64 million USD | 2020 | β | rising |
| 18 | Armenia | 1.23 million USD | 2022 | β | volatile |
| 19 | Sweden | 1.14 million USD | 2024 | down 68.7% | volatile |
| 20 | Chad | 1.05 million USD | 2020 | down 26.1% | volatile |
| 21 | Albania | 0.82 million USD | 2022 | up 82.2% | rising |
| 22 | Lesotho | 0.54 million USD | 2024 | down 93.9% | volatile |
| 23 | Kyrgyzstan | 0.32 million USD | 2024 | down 11.1% | volatile |
| 24 | Guinea-Bissau | 0.28 million USD | 2015 | down 20.0% | volatile |
| 25 | Guyana | 0.25 million USD | 2023 | up 19.0% | rising |
| 26 | Saint Lucia | 0.23 million USD | 2024 | up 130.0% | volatile |
| 27 | Nicaragua | 0.22 million USD | 2023 | down 15.4% | volatile |
| 28 | El Salvador | 0.1 million USD | 2023 | β | volatile |
| 29 | Mauritius | 0.07 million USD | 2024 | down 70.8% | volatile |
| 30 | Guatemala | 0.05 million USD | 2024 | β | volatile |
| 30 | Grenada | 0.05 million USD | 2024 | down 73.7% | volatile |
| 32 | Zambia | 0.03 million USD | 2024 | down 50.0% | volatile |
| 33 | Paraguay | 0.02 million USD | 2024 | down 66.7% | volatile |
| 34 | United Republic of Tanzania | 0.01 million USD | 2024 | down 97.3% | volatile |
| 35 | Colombia | 0 million USD | 2024 | β | flat |
| 35 | Angola | 0 million USD | 2024 | β | volatile |
| 35 | Russian Federation | 0 million USD | 2021 | β | volatile |
| 35 | Argentina | 0 million USD | 2024 | down 100.0% | volatile |
| 35 | Yemen | 0 million USD | 2014 | β | flat |
| 35 | Samoa | 0 million USD | 2024 | β | flat |
| 35 | Trinidad and Tobago | 0 million USD | 2015 | down 100.0% | volatile |
| 35 | Azerbaijan | 0 million USD | 2022 | β | flat |
| 35 | Bahamas | 0 million USD | 2024 | β | flat |
| 35 | Eswatini | 0 million USD | 2023 | β | volatile |
| 35 | Mexico | 0 million USD | 2024 | down 100.0% | volatile |
| 35 | Sao Tome and Principe | 0 million USD | 2015 | β | flat |
| 35 | Mozambique | 0 million USD | 2024 | β | flat |
| 48 | Poland | -1.19 million USD | 2023 | up 77.9% | volatile |
| 49 | Australia | -9.24 million USD | 2024 | down 1,126.7% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- South Africa 1.63 million USD
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.