Fishing, Recurrent (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
Fishing, Recurrent (central government expenditure) — Value Standard Local Currency is currently reported for 52 countries. The highest value is 126,141 million SLC in Colombia; the lowest is 0 million SLC in Australia.
The median across all reporting countries is 159.5 million SLC, and the mean is 6,575 million SLC.
Over the past decade 36 countries rose and 10 fell. The largest increase was in Eswatini (up 201,831.0%), and the largest decrease in Canada (down 100.0%).
Fishing, Recurrent (central government expenditure) — Value Standard: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Colombia | 126,141 million SLC | 2024 | up 271.0% | rising |
| 2 | Chile | 71,606 million SLC | 2024 | up 26.6% | volatile |
| 3 | Guinea | 51,700 million SLC | 2020 | — | volatile |
| 4 | Argentina | 30,215 million SLC | 2024 | up 10,691.0% | volatile |
| 5 | Bangladesh | 16,170 million SLC | 2024 | up 1,143.8% | volatile |
| 6 | Russian Federation | 11,813 million SLC | 2021 | down 31.4% | falling |
| 7 | Angola | 9,831 million SLC | 2024 | up 317.4% | volatile |
| 8 | Senegal | 7,186 million SLC | 2024 | up 348.9% | volatile |
| 9 | Kenya | 2,748 million SLC | 2024 | up 191.8% | volatile |
| 10 | Yemen | 2,689 million SLC | 2014 | up 993.1% | volatile |
| 11 | Mexico | 2,304 million SLC | 2024 | down 16.8% | falling |
| 12 | Eswatini | 1,898 million SLC | 2024 | up 201,831.0% | volatile |
| 13 | Guinea-Bissau | 1,193 million SLC | 2015 | up 31.1% | volatile |
| 14 | Chad | 1,191 million SLC | 2020 | up 647.6% | rising |
| 15 | Mozambique | 848.64 million SLC | 2024 | up 241.1% | volatile |
| 16 | Kazakhstan | 847.83 million SLC | 2015 | up 56.2% | falling |
| 17 | South Africa | 808 million SLC | 2023 | up 65.9% | rising |
| 18 | Mauritius | 326.19 million SLC | 2024 | up 25.3% | rising |
| 19 | Namibia | 320 million SLC | 2024 | up 204.8% | volatile |
| 20 | Zambia | 269.97 million SLC | 2024 | up 4,347.6% | volatile |
| 21 | Dominican Republic | 229.82 million SLC | 2024 | up 39.3% | rising |
| 22 | Brazil | 224.43 million SLC | 2024 | up 34.7% | volatile |
| 23 | Poland | 206 million SLC | 2023 | down 16.9% | falling |
| 24 | Nicaragua | 190 million SLC | 2023 | down 16.0% | rising |
| 25 | Guyana | 188 million SLC | 2020 | up 120.3% | rising |
| 26 | Sweden | 184 million SLC | 2024 | up 121.7% | volatile |
| 27 | Albania | 135 million SLC | 2022 | up 92.6% | rising |
| 28 | Peru | 111.45 million SLC | 2024 | up 11.3% | rising |
| 29 | Cuba | 102.49 million SLC | 2019 | — | rising |
| 30 | Seychelles | 60.37 million SLC | 2024 | down 37.1% | volatile |
| 31 | Kyrgyzstan | 55.1 million SLC | 2024 | up 99.6% | rising |
| 32 | Togo | 52.51 million SLC | 2018 | up 156.1% | volatile |
| 33 | Trinidad and Tobago | 19 million SLC | 2015 | up 134.6% | rising |
| 34 | Israel | 15.93 million SLC | 2024 | up 27.4% | rising |
| 35 | Fiji | 9 million SLC | 2023 | up 87.5% | rising |
| 36 | Panama | 7.01 million SLC | 2023 | up 43.1% | volatile |
| 37 | Guatemala | 5.92 million SLC | 2024 | up 256.6% | volatile |
| 38 | Saint Lucia | 5.26 million SLC | 2024 | up 142.4% | rising |
| 39 | El Salvador | 2.5 million SLC | 2024 | up 78.6% | rising |
| 40 | Saint Vincent and the Grenadines | 2.34 million SLC | 2024 | up 51.9% | rising |
| 41 | Samoa | 2.04 million SLC | 2024 | up 2.0% | rising |
| 41 | Antigua and Barbuda | 2.04 million SLC | 2024 | up 209.1% | rising |
| 43 | Bahamas | 1.97 million SLC | 2024 | down 15.1% | falling |
| 44 | Saint Kitts and Nevis | 1.86 million SLC | 2022 | — | flat |
| 45 | Ecuador | 1.49 million SLC | 2024 | down 82.2% | volatile |
| 46 | Grenada | 1.29 million SLC | 2024 | up 34.4% | rising |
| 47 | Azerbaijan | 1.28 million SLC | 2022 | down 36.0% | falling |
| 48 | Dominica | 1 million SLC | 2023 | — | flat |
| 49 | Slovakia | 0.17 million SLC | 2011 | — | volatile |
| 50 | Sao Tome and Principe | 0.09 million SLC | 2017 | — | volatile |
| 51 | Canada | 0 million SLC | 2014 | down 100.0% | volatile |
| 51 | Australia | 0 million SLC | 2024 | 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.
- Viet Nam 190,000 million SLC
- United Republic of Tanzania 24,916 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.