SDG 2.a.1: highest government level — SDG 2.a.1: Agriculture in South America
South America: SDG 2.a.1: highest government level — SDG 2.a.1: Agriculture was 0.15 in 2024. ▼ Falling
SDG 2.a.1: highest government level — SDG 2.a.1: Agriculture in South America, 2001–2024
Source: Food and Agriculture Organization of the United Nations.
Analysis
In 2024, sdg 2.a.1: highest government level — sdg 2.a.1: agriculture in South America stood at 0.15.
The figure is down 6.2% on the previous year and down 44.4% over ten years.
Over the whole period, sdg 2.a.1: highest government level — sdg 2.a.1: agriculture in South America peaked at 0.36 in 2009 and was at its lowest, 0.13, in 2020.
South America ranks 30th of 36 groups on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 24 years of available data.
SDG 2.a.1: highest government level — SDG 2.a.1: Agriculture in South America, year by year
| Year | Value | Change |
|---|---|---|
| 2001 | 0.3 | — |
| 2002 | 0.25 | -16.7% |
| 2003 | 0.23 | -8.0% |
| 2004 | 0.26 | +13.0% |
| 2005 | 0.32 | +23.1% |
| 2006 | 0.32 | +0.0% |
| 2007 | 0.35 | +9.4% |
| 2008 | 0.33 | -5.7% |
| 2009 | 0.36 | +9.1% |
| 2010 | 0.25 | -30.6% |
| 2011 | 0.22 | -12.0% |
| 2012 | 0.24 | +9.1% |
| 2013 | 0.22 | -8.3% |
| 2014 | 0.27 | +22.7% |
| 2015 | 0.22 | -18.5% |
| 2016 | 0.19 | -13.6% |
| 2017 | 0.19 | +0.0% |
| 2018 | 0.19 | +0.0% |
| 2019 | 0.18 | -5.3% |
| 2020 | 0.13 | -27.8% |
| 2021 | 0.13 | +0.0% |
| 2022 | 0.17 | +30.8% |
| 2023 | 0.16 | -5.9% |
| 2024 | 0.15 | -6.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.3022 | 0.23 | 0.36 | 9 |
| 2010s | 0.217 | 0.18 | 0.27 | 10 |
| 2020s | 0.148 | 0.13 | 0.17 | 5 |
Countries ranked near South America
- 27 China, mainland 0.95 compare
- 28 Belarus 0.89 compare
- 28 Eswatini 0.89 compare
- 30 Panama 0.88 compare
- 31 Saint Vincent and the Grenadines 0.8 compare
- 32 Slovenia 0.79 compare
- 33 Bangladesh 0.78 compare
More agriculture & rural data for South America
- Cereals, primary — Yield, annual growth rate 1.48 % change on previous year (2024)
- Beef and Buffalo Meat, primary — Yield/Carcass Weight, annual growth -1.22 % change on previous year (2024)
- Beef and Buffalo Meat, primary — Production, annual growth rate 7.7 % change on previous year (2024)
- Beef and Buffalo Meat, primary — Producing Animals/Slaughtered 9.08 % change on previous year (2024)
- Cattle and Buffaloes — Stocks, annual growth rate -0.1817 % change on previous year (2024)
- Cereals, primary — Area harvested, annual growth rate 0.0204 % change on previous year (2024)
- Citrus Fruit, Total — Area harvested, annual growth rate -1.52 % change on previous year (2024)
- Citrus Fruit, Total — Production, annual growth rate -6.6 % change on previous year (2024)
- Citrus Fruit, Total — Yield, annual growth rate -5.16 % change on previous year (2024)
- Sheep fat, unrendered — Producing Animals/Slaughtered, annual growth -2.74 % change on previous year (2024)
Frequently asked questions
- What is sdg 2.a.1: highest government level — sdg 2.a.1: agriculture in South America?
- Sdg 2.a.1: highest government level — sdg 2.a.1: agriculture in South America was 0.15 in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest sdg 2.a.1: highest government level — sdg 2.a.1: agriculture recorded in South America?
- The highest recorded value was 0.36 in 2009.
- What is the lowest sdg 2.a.1: highest government level — sdg 2.a.1: agriculture recorded in South America?
- The lowest recorded value was 0.13 in 2020.
- How does South America rank for sdg 2.a.1: highest government level — sdg 2.a.1: agriculture?
- South America ranks 30th out of 36 groups with data for 2024.
- Is sdg 2.a.1: highest government level — sdg 2.a.1: agriculture rising or falling in South America?
- Over the last ten years it is down 44.4%. The long-run trend across the full record is falling.
- Where does this South America data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of SDG 2.a.1: highest government level — SDG 2.a.1: Agriculture Orientation Index (AOI) for Government Expenditure. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.