Agriculture, forestry, fishing, Capital (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
Agriculture, forestry, fishing, Capital (general government expenditure) — Value Standard Local Currency is currently reported for 58 countries. The highest value is 44.39 million million SLC in Viet Nam; the lowest is -110 million SLC in Poland.
The median across all reporting countries is 524 million SLC, and the mean is 809,835 million SLC.
Over the past decade 35 countries rose and 16 fell. The largest increase was in Serbia (up 10,112.9%), and the largest decrease in Australia (down 170.0%).
Agriculture, forestry, fishing, Capital (general government): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Viet Nam | 44.39 million million SLC | 2022 | up 15.3% | rising |
| 1 | Nigeria | 1.03 million million SLC | 2024 | up 498.9% | volatile |
| 2 | India | 328,186 million SLC | 2023 | up 17.2% | rising |
| 2 | Republic of Moldova | 573 million SLC | 2024 | down 40.4% | volatile |
| 3 | Uganda | 306,307 million SLC | 2024 | — | falling |
| 4 | Pakistan | 275,751 million SLC | 2024 | up 3,163.7% | volatile |
| 5 | Colombia | 166,738 million SLC | 2024 | down 22.3% | rising |
| 6 | Iraq | 150,326 million SLC | 2019 | — | volatile |
| 7 | Hungary | 77,403 million SLC | 2023 | up 443.6% | volatile |
| 8 | Sri Lanka | 54,447 million SLC | 2015 | up 442.2% | volatile |
| 9 | Togo | 35,517 million SLC | 2018 | up 109.7% | rising |
| 10 | Kazakhstan | 29,786 million SLC | 2015 | down 13.4% | falling |
| 11 | Costa Rica | 23,707 million SLC | 2024 | up 21.6% | falling |
| 12 | Yemen | 18,674 million SLC | 2014 | up 169.9% | rising |
| 13 | Angola | 16,006 million SLC | 2024 | down 24.2% | volatile |
| 14 | Armenia | 14,545 million SLC | 2022 | up 61.2% | volatile |
| 15 | South Africa | 11,134 million SLC | 2023 | up 86.5% | rising |
| 16 | Dominican Republic | 9,762 million SLC | 2024 | up 265.9% | rising |
| 17 | Russian Federation | 8,845 million SLC | 2021 | up 78.5% | rising |
| 18 | Albania | 5,397 million SLC | 2022 | up 171.7% | rising |
| 19 | Peru | 4,117 million SLC | 2024 | up 65.9% | rising |
| 20 | Brazil | 3,435 million SLC | 2024 | up 14.7% | volatile |
| 21 | Israel | 2,220 million SLC | 2024 | up 84.8% | rising |
| 22 | Kyrgyzstan | 1,786 million SLC | 2024 | up 388.6% | volatile |
| 23 | Botswana | 1,311 million SLC | 2024 | — | rising |
| 24 | Spain | 913 million SLC | 2023 | up 129.4% | falling |
| 25 | Ukraine | 839.87 million SLC | 2024 | up 37.5% | flat |
| 26 | Sweden | 816 million SLC | 2024 | up 148.0% | rising |
| 27 | Guinea-Bissau | 800.68 million SLC | 2015 | down 29.8% | falling |
| 28 | Greece | 475 million SLC | 2023 | up 559.7% | volatile |
| 29 | Italy | 422 million SLC | 2023 | down 81.9% | volatile |
| 30 | France | 369 million SLC | 2023 | up 41.4% | rising |
| 31 | Serbia | 316.6 million SLC | 2010 | up 10,112.9% | volatile |
| 32 | Slovakia | 266.51 million SLC | 2011 | up 2,753.4% | volatile |
| 33 | Mauritius | 174.88 million SLC | 2024 | up 116.2% | volatile |
| 34 | Portugal | 100.26 million SLC | 2023 | down 4.2% | volatile |
| 35 | Panama | 90.74 million SLC | 2021 | — | rising |
| 36 | Netherlands (Kingdom of the) | 90 million SLC | 2023 | up 247.5% | volatile |
| 37 | Slovenia | 69.47 million SLC | 2023 | up 83.9% | volatile |
| 38 | Turkmenistan | 53.13 million SLC | 2024 | down 89.1% | volatile |
| 39 | Croatia | 48.22 million SLC | 2023 | — | rising |
| 40 | Seychelles | 34.56 million SLC | 2024 | up 92.4% | volatile |
| 41 | Lithuania | 31.06 million SLC | 2023 | up 279.7% | volatile |
| 42 | Kuwait | 27.85 million SLC | 2016 | up 44.1% | rising |
| 43 | El Salvador | 24.4 million SLC | 2024 | down 33.9% | volatile |
| 44 | Cyprus | 24 million SLC | 2023 | up 112.4% | rising |
| 45 | Tajikistan | 21.3 million SLC | 2019 | — | flat |
| 46 | Finland | 14 million SLC | 2023 | down 30.0% | volatile |
| 47 | Latvia | 11.43 million SLC | 2023 | up 61.7% | volatile |
| 48 | Saint Kitts and Nevis | 6.02 million SLC | 2022 | — | volatile |
| 49 | Malta | 5.22 million SLC | 2023 | up 186.8% | volatile |
| 50 | Estonia | 3.4 million SLC | 2023 | down 66.3% | volatile |
| 51 | Grenada | 2.48 million SLC | 2024 | down 84.1% | volatile |
| 52 | Oman | 0.24 million SLC | 2022 | down 99.0% | volatile |
| 53 | Singapore | 0 million SLC | 2010 | down 100.0% | volatile |
| 53 | Bahamas | 0 million SLC | 2016 | down 100.0% | volatile |
| 56 | Australia | -27 million SLC | 2024 | down 170.0% | volatile |
| 57 | Poland | -110 million SLC | 2023 | up 95.4% | volatile |
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.