Forestry, Capital (central government expenditure) β€” 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...

Countries reporting
49
Highest
230,000 million SLC
Viet Nam
Lowest
-14 million SLC
Australia
Median
12 million SLC
Years covered
24
2001–2024
Data points
608

What the numbers show

Forestry, Capital (central government expenditure) β€” Value Standard Local Currency is currently reported for 49 countries. The highest value is 230,000 million SLC in Viet Nam; the lowest is -14 million SLC in Australia.

The median across all reporting countries is 12 million SLC, and the mean is 5,605 million SLC.

The gap between the highest and lowest reporting country is a factor of about 16,429.

Over the past decade 17 countries rose and 17 fell. The largest increase was in Peru (up 26,600.0%), and the largest decrease in Australia (down 1,500.0%).

Forestry, Capital (central government expenditure) β€” Value Standard: full country ranking

#Country LatestYear 10-year changeTrend
1 Viet Nam 230,000 million SLC 2022 down 33.9% volatile
2 Guinea 15,700 million SLC 2020 β€” rising
3 Bangladesh 11,390 million SLC 2024 up 3,574.2% volatile
4 Togo 3,685 million SLC 2018 up 152.5% volatile
5 Senegal 3,109 million SLC 2024 down 29.9% volatile
6 Kenya 2,998 million SLC 2024 up 362.8% volatile
7 Chile 2,058 million SLC 2024 down 13.9% volatile
8 Mali 1,694 million SLC 2013 up 163.0% volatile
9 Israel 1,017 million SLC 2024 up 90.8% rising
10 Kazakhstan 647.62 million SLC 2015 up 284.4% volatile
11 Chad 605 million SLC 2020 down 13.8% volatile
12 Armenia 534.19 million SLC 2022 β€” volatile
13 Republic of Moldova 259 million SLC 2024 up 1,469.7% volatile
14 Guinea-Bissau 168.45 million SLC 2015 up 1.8% volatile
15 Paraguay 139 million SLC 2024 down 50.6% volatile
16 Namibia 125 million SLC 2024 down 17.8% volatile
17 Peru 120.15 million SLC 2024 up 26,600.0% volatile
18 Cuba 118.58 million SLC 2019 β€” falling
19 Albania 92.92 million SLC 2022 up 90.4% rising
20 Guyana 52.6 million SLC 2023 up 22.4% rising
21 Slovakia 39.51 million SLC 2011 up 2,916.0% volatile
22 United Republic of Tanzania 35 million SLC 2024 down 94.3% volatile
23 Kyrgyzstan 27.6 million SLC 2024 up 43.0% volatile
24 Brazil 14.98 million SLC 2024 down 59.2% volatile
25 Sweden 12 million SLC 2024 down 52.0% volatile
26 Lesotho 9.9 million SLC 2024 down 92.4% volatile
27 Nicaragua 8 million SLC 2023 down 1.2% volatile
28 Fiji 4 million SLC 2023 up 566.7% rising
29 Mauritius 3.13 million SLC 2024 down 57.1% volatile
30 Zambia 0.84 million SLC 2024 up 133.3% volatile
31 Saint Lucia 0.62 million SLC 2024 up 121.4% volatile
32 Guatemala 0.35 million SLC 2024 β€” volatile
33 Grenada 0.13 million SLC 2024 down 74.0% volatile
34 El Salvador 0.1 million SLC 2023 β€” volatile
35 Russian Federation 0.09 million SLC 2021 β€” volatile
36 Trinidad and Tobago 0 million SLC 2015 down 100.0% volatile
36 Mexico 0 million SLC 2024 down 100.0% volatile
36 Angola 0 million SLC 2024 β€” volatile
36 Argentina 0 million SLC 2024 down 100.0% volatile
36 Yemen 0 million SLC 2014 β€” flat
36 Samoa 0 million SLC 2024 β€” flat
36 Colombia 0 million SLC 2024 β€” flat
36 Azerbaijan 0 million SLC 2022 β€” flat
36 Bahamas 0 million SLC 2024 β€” flat
36 Eswatini 0 million SLC 2023 β€” volatile
36 Mozambique 0 million SLC 2024 β€” flat
36 Sao Tome and Principe 0 million SLC 2015 β€” flat
48 Poland -5 million SLC 2023 up 70.6% volatile
49 Australia -14 million SLC 2024 down 1,500.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

About this data

Indicator
Forestry, Capital (central government expenditure) β€” Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
50 places, 608 data points, 2001–2024
Last refreshed

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.