Agriculture, 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
Agriculture, Capital (central government expenditure) — Value Standard Local Currency is currently reported for 60 countries. The highest value is 3.46 million million SLC in Viet Nam; the lowest is -134 million SLC in Poland.
The median across all reporting countries is 579.12 million SLC, and the mean is 88,536 million SLC.
The gap between the highest and lowest reporting country is a factor of about 25,799.
Over the past decade 37 countries rose and 18 fell. The largest increase was in Kyrgyzstan (up 129,000.0%), and the largest decrease in Australia (down 1,233.3%).
Agriculture, Capital (central government expenditure) — Value: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Viet Nam | 3.46 million million SLC | 2022 | up 252.4% | volatile |
| 1 | Chile | 465,475 million SLC | 2024 | up 105.2% | volatile |
| 2 | Madagascar | 277,157 million SLC | 2018 | up 97.3% | volatile |
| 3 | Paraguay | 239,503 million SLC | 2024 | up 23.9% | rising |
| 4 | Bangladesh | 163,650 million SLC | 2024 | up 12,989.4% | volatile |
| 5 | Guinea | 160,400 million SLC | 2020 | — | volatile |
| 6 | Senegal | 141,554 million SLC | 2024 | up 226.6% | rising |
| 7 | Niger | 65,514 million SLC | 2024 | down 19.2% | falling |
| 8 | Colombia | 64,708 million SLC | 2024 | down 30.3% | rising |
| 9 | Mali | 60,355 million SLC | 2013 | up 22.0% | rising |
| 10 | Kenya | 57,367 million SLC | 2024 | up 131.1% | volatile |
| 11 | Togo | 26,832 million SLC | 2018 | up 73.9% | rising |
| 12 | Mexico | 19,581 million SLC | 2024 | up 150.2% | volatile |
| 13 | Angola | 14,813 million SLC | 2024 | up 52.3% | volatile |
| 14 | Yemen | 12,927 million SLC | 2014 | up 162.0% | rising |
| 15 | Pakistan | 11,366 million SLC | 2012 | up 5,786.7% | volatile |
| 16 | Armenia | 10,505 million SLC | 2022 | up 26.1% | volatile |
| 17 | South Africa | 10,206 million SLC | 2023 | up 101.5% | volatile |
| 18 | Dominican Republic | 9,749 million SLC | 2024 | up 333.3% | volatile |
| 19 | Guyana | 9,509 million SLC | 2020 | up 113.7% | rising |
| 20 | Russian Federation | 7,503 million SLC | 2021 | up 882.8% | volatile |
| 21 | Chad | 7,131 million SLC | 2020 | down 14.9% | volatile |
| 22 | Argentina | 6,942 million SLC | 2024 | up 1,212.3% | volatile |
| 23 | Albania | 4,610 million SLC | 2022 | up 150.4% | rising |
| 24 | Israel | 1,193 million SLC | 2024 | up 79.6% | volatile |
| 25 | Eswatini | 1,162 million SLC | 2024 | up 805.6% | volatile |
| 26 | Sweden | 803 million SLC | 2024 | up 167.7% | rising |
| 27 | Ukraine | 771.6 million SLC | 2024 | up 32.6% | falling |
| 28 | Namibia | 650 million SLC | 2024 | up 58.2% | volatile |
| 29 | Guatemala | 635.77 million SLC | 2024 | up 262.1% | volatile |
| 30 | Peru | 522.48 million SLC | 2024 | down 31.2% | rising |
| 31 | Zambia | 342.09 million SLC | 2024 | up 318.5% | volatile |
| 32 | Guinea-Bissau | 333.87 million SLC | 2015 | down 55.3% | falling |
| 33 | Brazil | 238.79 million SLC | 2024 | down 86.0% | volatile |
| 34 | Slovakia | 218.45 million SLC | 2011 | up 2,700.6% | volatile |
| 35 | Cuba | 208.95 million SLC | 2019 | — | falling |
| 36 | Panama | 197.67 million SLC | 2023 | up 300.3% | volatile |
| 37 | Kyrgyzstan | 129.1 million SLC | 2024 | up 129,000.0% | volatile |
| 38 | Sao Tome and Principe | 124.45 million SLC | 2017 | up 772.1% | volatile |
| 39 | Mauritius | 105.29 million SLC | 2024 | up 408.6% | volatile |
| 40 | Ecuador | 94.86 million SLC | 2024 | down 76.3% | volatile |
| 41 | Turkmenistan | 53.13 million SLC | 2024 | down 89.1% | volatile |
| 42 | Barbados | 39.5 million SLC | 2024 | up 6.1% | volatile |
| 43 | Mozambique | 33.65 million SLC | 2024 | — | volatile |
| 44 | Trinidad and Tobago | 32 million SLC | 2015 | down 58.4% | volatile |
| 45 | Seychelles | 25.6 million SLC | 2024 | up 1,490.1% | volatile |
| 46 | El Salvador | 23.3 million SLC | 2024 | down 37.0% | volatile |
| 47 | Fiji | 9 million SLC | 2023 | down 41.2% | falling |
| 48 | Kazakhstan | 3.4 million SLC | 2015 | down 99.4% | volatile |
| 49 | Lesotho | 3 million SLC | 2024 | down 97.6% | volatile |
| 50 | Saint Kitts and Nevis | 2.59 million SLC | 2022 | — | volatile |
| 51 | Saint Lucia | 2.29 million SLC | 2024 | down 83.4% | volatile |
| 52 | Grenada | 2.06 million SLC | 2024 | down 88.6% | volatile |
| 53 | Nicaragua | 2 million SLC | 2023 | down 97.7% | volatile |
| 54 | Bahamas | 1.49 million SLC | 2024 | up 122.4% | volatile |
| 55 | Antigua and Barbuda | 0.53 million SLC | 2024 | down 50.0% | volatile |
| 56 | Samoa | 0 million SLC | 2024 | up 100.0% | volatile |
| 56 | Azerbaijan | 0 million SLC | 2022 | — | volatile |
| 59 | Australia | -34 million SLC | 2024 | down 1,233.3% | volatile |
| 60 | Poland | -134 million SLC | 2023 | up 96.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- United Republic of Tanzania 472,415 million SLC
- Republic of Moldova 401 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.