Protection of Biodiversity and Landscape, Capital (central 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
Protection of Biodiversity and Landscape, Capital (central government expenditure) — Value Standard Local Currency is currently reported for 60 countries. The highest value is 567,768 million SLC in Colombia; the lowest is -66 million SLC in Australia.
The median across all reporting countries is 53.5 million SLC, and the mean is 11,065 million SLC.
The gap between the highest and lowest reporting country is a factor of about 8,603.
Over the past decade 28 countries rose and 21 fell. The largest increase was in Lithuania (up 2,443.0%), 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 | Colombia | 567,768 million SLC | 2023 | up 98.4% | volatile |
| 2 | Uganda | 46,325 million SLC | 2024 | — | falling |
| 3 | Argentina | 9,966 million SLC | 2024 | up 74.3% | volatile |
| 4 | Hungary | 8,482 million SLC | 2023 | up 31.9% | volatile |
| 5 | Chile | 6,735 million SLC | 2024 | up 74.9% | volatile |
| 6 | Senegal | 5,251 million SLC | 2024 | up 391.3% | rising |
| 7 | Costa Rica | 4,580 million SLC | 2020 | up 83.4% | rising |
| 8 | Paraguay | 3,712 million SLC | 2015 | up 686.9% | volatile |
| 9 | Kazakhstan | 2,770 million SLC | 2015 | down 25.9% | volatile |
| 10 | Kenya | 2,131 million SLC | 2024 | down 50.3% | volatile |
| 11 | Chad | 1,210 million SLC | 2020 | down 13.8% | volatile |
| 12 | Armenia | 1,115 million SLC | 2022 | down 74.8% | volatile |
| 13 | South Africa | 640 million SLC | 2023 | up 10.2% | volatile |
| 14 | Guatemala | 611.43 million SLC | 2024 | up 64.9% | rising |
| 15 | Poland | 291.57 million SLC | 2023 | up 402.7% | volatile |
| 16 | Mexico | 271.71 million SLC | 2024 | down 51.1% | falling |
| 17 | Yemen | 233 million SLC | 2014 | down 60.4% | volatile |
| 18 | Spain | 231 million SLC | 2023 | up 61.5% | volatile |
| 19 | Kyrgyzstan | 193.3 million SLC | 2024 | up 165.5% | volatile |
| 20 | Botswana | 164.18 million SLC | 2024 | up 557.2% | volatile |
| 21 | Namibia | 164 million SLC | 2024 | up 64.0% | volatile |
| 22 | Israel | 146.22 million SLC | 2024 | up 143.1% | volatile |
| 23 | France | 144 million SLC | 2023 | up 15.2% | falling |
| 24 | Guyana | 100 million SLC | 2018 | — | volatile |
| 25 | Angola | 96.78 million SLC | 2024 | down 84.1% | volatile |
| 26 | Brazil | 86.38 million SLC | 2024 | up 220.5% | volatile |
| 27 | Nicaragua | 73 million SLC | 2023 | down 14.7% | falling |
| 28 | Sweden | 68 million SLC | 2024 | down 55.6% | volatile |
| 29 | Mauritius | 56.96 million SLC | 2024 | down 22.0% | volatile |
| 30 | Trinidad and Tobago | 55 million SLC | 2015 | up 1,209.5% | volatile |
| 31 | Italy | 52 million SLC | 2023 | down 88.4% | volatile |
| 32 | Ukraine | 46.2 million SLC | 2024 | up 320.0% | volatile |
| 33 | Cuba | 45.3 million SLC | 2019 | — | volatile |
| 34 | Peru | 37.88 million SLC | 2024 | down 8.8% | rising |
| 35 | Dominican Republic | 33.46 million SLC | 2024 | down 39.7% | volatile |
| 36 | Slovenia | 30.03 million SLC | 2023 | up 1,024.7% | volatile |
| 37 | Lithuania | 25.43 million SLC | 2023 | up 2,443.0% | volatile |
| 38 | Finland | 16 million SLC | 2023 | down 11.1% | falling |
| 39 | Panama | 15.23 million SLC | 2023 | up 665.3% | volatile |
| 40 | Mozambique | 6.72 million SLC | 2024 | — | volatile |
| 41 | Estonia | 6.6 million SLC | 2023 | — | volatile |
| 42 | Seychelles | 6 million SLC | 2024 | up 2,122.2% | volatile |
| 43 | Croatia | 5.43 million SLC | 2023 | — | falling |
| 44 | Malta | 4.27 million SLC | 2023 | up 2,411.8% | volatile |
| 45 | Slovakia | 4.01 million SLC | 2011 | up 264.5% | rising |
| 46 | Eswatini | 2.9 million SLC | 2024 | — | volatile |
| 47 | Grenada | 2.23 million SLC | 2024 | up 669.0% | volatile |
| 48 | Oman | 2 million SLC | 2014 | down 89.0% | falling |
| 49 | El Salvador | 1.3 million SLC | 2024 | up 62.5% | volatile |
| 50 | Saint Lucia | 1.21 million SLC | 2024 | — | volatile |
| 51 | Cyprus | 1.1 million SLC | 2023 | — | volatile |
| 52 | Latvia | 0.4 million SLC | 2023 | up 900.0% | volatile |
| 53 | Albania | 0 million SLC | 2022 | — | volatile |
| 53 | Portugal | 0 million SLC | 2023 | — | volatile |
| 53 | New Caledonia | 0 million SLC | 2016 | down 100.0% | volatile |
| 53 | Ecuador | 0 million SLC | 2024 | down 100.0% | volatile |
| 53 | Bahrain | 0 million SLC | 2018 | down 100.0% | falling |
| 53 | Bangladesh | 0 million SLC | 2009 | down 100.0% | volatile |
| 62 | Netherlands (Kingdom of the) | -64 million SLC | 2023 | down 68.4% | volatile |
| 63 | Australia | -66 million SLC | 2024 | down 6.5% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Republic of Moldova 5 million SLC
- United Republic of Tanzania 0 million SLC
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.