R&D Environmental Protection (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
R&D Environmental Protection (general government expenditure) — Value Standard Local Currency is currently reported for 60 countries. The highest value is 78,599 million SLC in Colombia; the lowest is 0 million SLC in Albania.
The median across all reporting countries is 112.71 million SLC, and the mean is 3,061 million SLC.
Over the past decade 38 countries rose and 15 fell. The largest increase was in Malta (up 64,833.3%), and the largest decrease in Romania (down 100.0%).
R&D Environmental Protection (general government expenditure) — Value: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Colombia | 78,599 million SLC | 2024 | up 1,134.2% | volatile |
| 1 | Türkiye | 747 million SLC | 2024 | up 670.1% | volatile |
| 2 | Pakistan | 51,631 million SLC | 2024 | up 20,068.4% | volatile |
| 3 | Japan | 11,800 million SLC | 2023 | down 68.4% | volatile |
| 4 | Australia | 9,675 million SLC | 2024 | up 33.5% | volatile |
| 5 | Rwanda | 8,265 million SLC | 2024 | up 111.8% | volatile |
| 6 | Angola | 4,539 million SLC | 2024 | up 306.4% | volatile |
| 7 | Kazakhstan | 2,702 million SLC | 2024 | — | volatile |
| 8 | Germany | 1,817 million SLC | 2024 | up 88.1% | rising |
| 9 | Italy | 1,696 million SLC | 2023 | up 407.8% | falling |
| 10 | Norway | 1,529 million SLC | 2024 | up 30.9% | volatile |
| 11 | France | 1,299 million SLC | 2023 | up 248.3% | volatile |
| 12 | United Kingdom of Great Britain and Northern Ireland | 1,293 million SLC | 2023 | up 108.9% | rising |
| 13 | Guinea-Bissau | 1,125 million SLC | 2015 | up 81.5% | volatile |
| 14 | Russian Federation | 840.04 million SLC | 2021 | up 30.6% | volatile |
| 15 | Poland | 717 million SLC | 2023 | up 2,657.7% | volatile |
| 16 | Sweden | 623 million SLC | 2024 | up 48.0% | rising |
| 17 | South Africa | 515 million SLC | 2023 | up 99.6% | volatile |
| 18 | Denmark | 490.02 million SLC | 2024 | down 33.0% | falling |
| 19 | Brazil | 461.75 million SLC | 2024 | up 1.7% | rising |
| 20 | Iceland | 356.66 million SLC | 2024 | up 355.3% | volatile |
| 21 | Egypt | 335 million SLC | 2012 | up 238.4% | volatile |
| 22 | Netherlands (Kingdom of the) | 334 million SLC | 2023 | up 240.8% | volatile |
| 23 | Hungary | 319 million SLC | 2023 | down 68.1% | volatile |
| 24 | Czechia | 306.84 million SLC | 2024 | — | volatile |
| 25 | Spain | 303 million SLC | 2023 | up 29.5% | rising |
| 26 | Portugal | 230.65 million SLC | 2023 | up 539.5% | volatile |
| 27 | Switzerland | 227.86 million SLC | 2023 | up 10.0% | rising |
| 28 | Thailand | 216.02 million SLC | 2024 | down 29.5% | volatile |
| 29 | Ukraine | 120.23 million SLC | 2024 | up 82.2% | rising |
| 30 | Austria | 105.19 million SLC | 2024 | up 21.8% | rising |
| 31 | Finland | 99 million SLC | 2023 | up 17.9% | rising |
| 32 | Belgium | 90.46 million SLC | 2023 | up 113.7% | volatile |
| 33 | Slovenia | 30.72 million SLC | 2023 | up 134.0% | volatile |
| 34 | Ireland | 28.01 million SLC | 2023 | up 117.6% | rising |
| 35 | Seychelles | 24.54 million SLC | 2024 | — | volatile |
| 36 | Estonia | 23.1 million SLC | 2023 | up 24.9% | volatile |
| 37 | Namibia | 21.72 million SLC | 2023 | down 31.0% | falling |
| 38 | Malta | 19.48 million SLC | 2023 | up 64,833.3% | volatile |
| 39 | Croatia | 18.9 million SLC | 2023 | up 160.7% | volatile |
| 40 | Peru | 14.29 million SLC | 2024 | down 62.6% | volatile |
| 41 | Dominican Republic | 12.39 million SLC | 2024 | up 41,200.0% | volatile |
| 42 | Guatemala | 8.59 million SLC | 2023 | down 1.8% | rising |
| 43 | Bosnia and Herzegovina | 5.67 million SLC | 2024 | up 1,618.2% | volatile |
| 44 | Slovakia | 5.06 million SLC | 2023 | down 52.1% | volatile |
| 45 | Belarus | 2.45 million SLC | 2023 | up 301.6% | volatile |
| 46 | El Salvador | 2.4 million SLC | 2024 | unchanged | volatile |
| 47 | Israel | 2.05 million SLC | 2024 | up 4.1% | falling |
| 48 | Latvia | 1.87 million SLC | 2023 | up 101.1% | volatile |
| 48 | Armenia | 1.87 million SLC | 2024 | down 75.6% | volatile |
| 50 | Kyrgyzstan | 1.3 million SLC | 2024 | down 80.6% | volatile |
| 51 | Luxembourg | 1.16 million SLC | 2024 | up 7.4% | falling |
| 52 | Andorra | 0.83 million SLC | 2023 | down 4.6% | falling |
| 53 | Lithuania | 0.16 million SLC | 2023 | down 40.7% | volatile |
| 54 | Romania | 0 million SLC | 2023 | down 100.0% | volatile |
| 54 | Mongolia | 0 million SLC | 2024 | — | volatile |
| 54 | Indonesia | 0 million SLC | 2022 | down 100.0% | volatile |
| 54 | Georgia | 0 million SLC | 2024 | — | volatile |
| 54 | Canada | 0 million SLC | 2014 | down 100.0% | volatile |
| 54 | Albania | 0 million SLC | 2024 | — | 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 100 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.