Protection of Biodiversity and Landscape, Capital (central government expenditure) — 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
Protection of Biodiversity and Landscape, Capital (central government expenditure) — Value US$ is currently reported for 60 countries. The highest value is 249.77 million USD in Spain; the lowest is -69.2 million USD in Netherlands (Kingdom of the).
The median across all reporting countries is 5.72 million USD, and the mean is 17.73 million USD.
The gap between the highest and lowest reporting country is a factor of about 4.
Over the past decade 25 countries rose and 24 fell. The largest increase was in Lithuania (up 2,377.5%), and the largest decrease in New Caledonia (down 100.0%).
Protection of Biodiversity and Landscape, Capital (central government): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Spain | 249.77 million USD | 2023 | up 31.5% | volatile |
| 2 | France | 155.7 million USD | 2023 | up 12.5% | falling |
| 3 | Colombia | 131.25 million USD | 2023 | up 35.6% | volatile |
| 4 | Guatemala | 78.81 million USD | 2024 | up 56.2% | rising |
| 5 | Poland | 69.36 million USD | 2023 | up 278.0% | volatile |
| 6 | Italy | 56.23 million USD | 2023 | down 90.6% | volatile |
| 7 | Cuba | 45.3 million USD | 2019 | — | volatile |
| 8 | Israel | 39.52 million USD | 2024 | up 135.1% | volatile |
| 9 | South Africa | 34.69 million USD | 2023 | down 42.4% | volatile |
| 10 | Slovenia | 32.47 million USD | 2023 | up 814.6% | volatile |
| 11 | Lithuania | 27.5 million USD | 2023 | up 2,377.5% | volatile |
| 12 | Hungary | 24.02 million USD | 2023 | down 16.5% | volatile |
| 13 | Finland | 17.3 million USD | 2023 | down 27.6% | volatile |
| 14 | Brazil | 16.03 million USD | 2024 | up 40.0% | volatile |
| 15 | Kenya | 15.81 million USD | 2024 | down 67.6% | volatile |
| 16 | Panama | 15.23 million USD | 2023 | up 665.3% | volatile |
| 17 | Mexico | 14.84 million USD | 2024 | down 64.5% | volatile |
| 18 | Kazakhstan | 12.49 million USD | 2015 | down 50.7% | volatile |
| 19 | Uganda | 12.33 million USD | 2024 | — | falling |
| 20 | Botswana | 12.1 million USD | 2024 | up 335.3% | volatile |
| 21 | Argentina | 10.9 million USD | 2024 | down 97.2% | volatile |
| 22 | Peru | 10.08 million USD | 2024 | down 22.8% | rising |
| 23 | Namibia | 8.95 million USD | 2024 | down 2.9% | volatile |
| 24 | Senegal | 8.66 million USD | 2024 | up 375.8% | rising |
| 25 | Trinidad and Tobago | 8.62 million USD | 2015 | up 1,186.6% | volatile |
| 26 | Costa Rica | 7.83 million USD | 2020 | up 56.6% | flat |
| 27 | Estonia | 7.14 million USD | 2023 | — | volatile |
| 27 | Chile | 7.14 million USD | 2024 | up 5.8% | volatile |
| 29 | Sweden | 6.43 million USD | 2024 | down 71.2% | volatile |
| 30 | Croatia | 5.87 million USD | 2023 | — | falling |
| 31 | Slovakia | 5.58 million USD | 2011 | up 441.7% | volatile |
| 32 | Oman | 5.2 million USD | 2014 | down 89.0% | falling |
| 33 | Malta | 4.62 million USD | 2023 | up 1,908.7% | volatile |
| 34 | Armenia | 2.56 million USD | 2022 | down 76.7% | volatile |
| 35 | Kyrgyzstan | 2.22 million USD | 2024 | up 63.2% | volatile |
| 36 | Chad | 2.1 million USD | 2020 | down 26.1% | volatile |
| 37 | Nicaragua | 2 million USD | 2023 | down 26.2% | falling |
| 38 | El Salvador | 1.3 million USD | 2024 | up 62.5% | volatile |
| 39 | Mauritius | 1.23 million USD | 2024 | down 48.3% | volatile |
| 40 | Cyprus | 1.19 million USD | 2023 | — | volatile |
| 41 | Ukraine | 1.15 million USD | 2024 | up 187.5% | volatile |
| 42 | Yemen | 1.08 million USD | 2014 | down 66.0% | volatile |
| 43 | Grenada | 0.83 million USD | 2024 | up 654.5% | volatile |
| 44 | Paraguay | 0.71 million USD | 2015 | up 688.9% | volatile |
| 45 | Dominican Republic | 0.56 million USD | 2024 | down 55.9% | volatile |
| 46 | Guyana | 0.48 million USD | 2018 | — | volatile |
| 47 | Saint Lucia | 0.45 million USD | 2024 | — | volatile |
| 48 | Latvia | 0.43 million USD | 2023 | up 760.0% | volatile |
| 49 | Seychelles | 0.41 million USD | 2024 | up 1,950.0% | volatile |
| 50 | Eswatini | 0.16 million USD | 2024 | — | volatile |
| 51 | Mozambique | 0.11 million USD | 2024 | — | volatile |
| 51 | Angola | 0.11 million USD | 2024 | down 98.2% | volatile |
| 53 | Albania | 0 million USD | 2022 | — | volatile |
| 53 | Portugal | 0 million USD | 2023 | — | volatile |
| 53 | New Caledonia | 0 million USD | 2016 | down 100.0% | volatile |
| 53 | Ecuador | 0 million USD | 2024 | down 100.0% | volatile |
| 53 | Bahrain | 0 million USD | 2018 | down 100.0% | falling |
| 53 | Bangladesh | 0 million USD | 2009 | down 100.0% | volatile |
| 62 | Australia | -43.55 million USD | 2024 | up 22.1% | falling |
| 63 | Netherlands (Kingdom of the) | -69.2 million USD | 2023 | down 37.1% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Republic of Moldova 0.28 million USD
- United Republic of Tanzania 0 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.