Value Added (Agriculture, Forestry and Fishing) — Value US$ in South America
South America: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 263,798 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in South America, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$ in South America stood at 263,798 million USD.
That represents a change of down 0.9% on the previous year and up 15.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in South America peaked at 266,305 million USD in 2023 and was at its lowest, 11,717 million USD, in 1970.
That places South America 12th out of 29 groups with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$ in South America, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 11,717 million USD | — |
| 1971 | 14,131 million USD | +20.6% |
| 1972 | 15,588 million USD | +10.3% |
| 1973 | 19,723 million USD | +26.5% |
| 1974 | 23,359 million USD | +18.4% |
| 1975 | 24,057 million USD | +3.0% |
| 1976 | 27,691 million USD | +15.1% |
| 1977 | 35,204 million USD | +27.1% |
| 1978 | 34,212 million USD | -2.8% |
| 1979 | 38,324 million USD | +12.0% |
| 1980 | 41,337 million USD | +7.9% |
| 1981 | 47,469 million USD | +14.8% |
| 1982 | 47,467 million USD | -0.0% |
| 1983 | 46,093 million USD | -2.9% |
| 1984 | 46,348 million USD | +0.6% |
| 1985 | 44,490 million USD | -4.0% |
| 1986 | 50,634 million USD | +13.8% |
| 1987 | 51,866 million USD | +2.4% |
| 1988 | 58,902 million USD | +13.6% |
| 1989 | 58,839 million USD | -0.1% |
| 1990 | 70,070 million USD | +19.1% |
| 1991 | 68,272 million USD | -2.6% |
| 1992 | 55,488 million USD | -18.7% |
| 1993 | 55,838 million USD | +0.6% |
| 1994 | 80,116 million USD | +43.5% |
| 1995 | 82,777 million USD | +3.3% |
| 1996 | 85,027 million USD | +2.7% |
| 1997 | 87,978 million USD | +3.5% |
| 1998 | 87,627 million USD | -0.4% |
| 1999 | 67,291 million USD | -23.2% |
| 2000 | 70,574 million USD | +4.9% |
| 2001 | 64,612 million USD | -8.4% |
| 2002 | 62,256 million USD | -3.6% |
| 2003 | 72,371 million USD | +16.2% |
| 2004 | 80,850 million USD | +11.7% |
| 2005 | 91,717 million USD | +13.4% |
| 2006 | 103,700 million USD | +13.1% |
| 2007 | 129,823 million USD | +25.2% |
| 2008 | 161,968 million USD | +24.8% |
| 2009 | 155,024 million USD | -4.3% |
| 2010 | 193,826 million USD | +25.0% |
| 2011 | 227,283 million USD | +17.3% |
| 2012 | 216,024 million USD | -5.0% |
| 2013 | 231,628 million USD | +7.2% |
| 2014 | 228,822 million USD | -1.2% |
| 2015 | 185,875 million USD | -18.8% |
| 2016 | 205,943 million USD | +10.8% |
| 2017 | 217,604 million USD | +5.7% |
| 2018 | 182,643 million USD | -16.1% |
| 2019 | 176,447 million USD | -3.4% |
| 2020 | 182,429 million USD | +3.4% |
| 2021 | 227,219 million USD | +24.6% |
| 2022 | 244,496 million USD | +7.6% |
| 2023 | 266,305 million USD | +8.9% |
| 2024 | 263,798 million USD | -0.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 24,401 million USD | 11,717 million USD | 38,324 million USD | 10 |
| 1980s | 49,344 million USD | 41,337 million USD | 58,902 million USD | 10 |
| 1990s | 74,048 million USD | 55,488 million USD | 87,978 million USD | 10 |
| 2000s | 99,289 million USD | 62,256 million USD | 161,968 million USD | 10 |
| 2010s | 206,610 million USD | 176,447 million USD | 231,628 million USD | 10 |
| 2020s | 236,849 million USD | 182,429 million USD | 266,305 million USD | 5 |
Countries ranked near South America
More environment data for South America
- Historical exposure to drought — Cropland soil moisture anomaly -6.52 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -4.98 Percentage change (2025)
- Standard Deviation 0.218 °C (2025)
- Temperature change 1.23 °C (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Total fibre furnish — Production, annual growth rate 4.24 % change on previous year (2024)
- Exposure to drought — Cropland soil moisture anomaly -9.52 Percentage change (2024)
- Newsprint — Import quantity, gaps filled 107,789 t (2024)
- Newsprint — Import quantity, annual growth rate 5.48 % change on previous year (2024)
- Newsprint — Import value, gaps filled 60,764 1000 USD (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in South America?
- Value added (agriculture, forestry and fishing) — value us$ in South America was 263,798 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$ recorded in South America?
- The highest recorded value was 266,305 million USD in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in South America?
- The lowest recorded value was 11,717 million USD in 1970.
- How does South America rank for value added (agriculture, forestry and fishing) — value us$?
- South America ranks 12th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in South America?
- Over the last ten years it is up 15.3%. The long-run trend across the full record is volatile.
- Where does this South America data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value US$. Statizoid updates them automatically from the source API.
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).