R&D Environmental Protection, Recurrent (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, Recurrent (general government expenditure) — Value Standard Local Currency is currently reported for 30 countries. The highest value is 25,604 million SLC in Pakistan; the lowest is 0 million SLC in Canada.
The median across all reporting countries is 16.34 million SLC, and the mean is 1,408 million SLC.
Over the past decade 19 countries rose and 7 fell. The largest increase was in Malta (up 64,833.3%), and the largest decrease in Canada (down 100.0%).
R&D Environmental Protection, Recurrent (general government): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Pakistan | 25,604 million SLC | 2024 | up 9,901.6% | volatile |
| 2 | Australia | 7,648 million SLC | 2024 | up 19.0% | rising |
| 3 | Angola | 4,085 million SLC | 2024 | up 280.6% | volatile |
| 4 | Guinea-Bissau | 899.71 million SLC | 2015 | up 81.5% | volatile |
| 5 | Italy | 851 million SLC | 2023 | up 183.7% | rising |
| 6 | Russian Federation | 840.04 million SLC | 2021 | up 31.0% | rising |
| 7 | Sweden | 522 million SLC | 2024 | up 56.3% | rising |
| 8 | South Africa | 490 million SLC | 2023 | up 150.0% | volatile |
| 9 | Brazil | 456.86 million SLC | 2024 | up 1.7% | rising |
| 10 | Netherlands (Kingdom of the) | 361 million SLC | 2023 | up 253.9% | volatile |
| 11 | Hungary | 160 million SLC | 2023 | down 74.4% | volatile |
| 12 | Ukraine | 119.9 million SLC | 2024 | down 7.8% | falling |
| 13 | Finland | 76 million SLC | 2023 | up 28.8% | rising |
| 14 | Seychelles | 24.54 million SLC | 2024 | up 282.8% | volatile |
| 15 | Malta | 19.48 million SLC | 2023 | up 64,833.3% | volatile |
| 16 | Slovenia | 13.21 million SLC | 2023 | up 52.2% | volatile |
| 17 | Croatia | 12.61 million SLC | 2023 | — | volatile |
| 18 | Dominican Republic | 12.39 million SLC | 2024 | — | volatile |
| 19 | Peru | 12.3 million SLC | 2024 | down 19.4% | falling |
| 20 | Estonia | 12.2 million SLC | 2023 | up 28.4% | rising |
| 21 | Spain | 6 million SLC | 2023 | down 45.5% | volatile |
| 22 | Slovakia | 3.08 million SLC | 2011 | up 25.2% | volatile |
| 23 | El Salvador | 2.4 million SLC | 2024 | — | volatile |
| 24 | Israel | 2.05 million SLC | 2024 | up 4.1% | falling |
| 25 | Armenia | 2.01 million SLC | 2022 | — | volatile |
| 26 | Latvia | 1.62 million SLC | 2023 | up 78.0% | volatile |
| 27 | Kyrgyzstan | 1.3 million SLC | 2024 | down 80.3% | volatile |
| 28 | Poland | 1 million SLC | 2023 | down 96.2% | volatile |
| 29 | Lithuania | 0.16 million SLC | 2023 | up 77.8% | rising |
| 30 | Canada | 0 million SLC | 2014 | down 100.0% | 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.