Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South Africa
South Africa: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 8,478 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South Africa, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in South Africa is 8,478 million USD, measured in 2024.
Compared with earlier readings it is down 8.0% on the previous year and up 5.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in South Africa peaked at 10,490 million USD in 2022 and was at its lowest, 2,854 million USD, in 1970.
That places South Africa 50th out of 200 countries with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South Africa, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 2,854 million USD | — |
| 1971 | 3,390 million USD | +18.8% |
| 1972 | 3,368 million USD | -0.6% |
| 1973 | 2,941 million USD | -12.7% |
| 1974 | 3,835 million USD | +30.4% |
| 1975 | 3,506 million USD | -8.6% |
| 1976 | 3,421 million USD | -2.4% |
| 1977 | 3,823 million USD | +11.8% |
| 1978 | 3,976 million USD | +4.0% |
| 1979 | 3,890 million USD | -2.2% |
| 1980 | 4,278 million USD | +10.0% |
| 1981 | 4,526 million USD | +5.8% |
| 1982 | 4,143 million USD | -8.4% |
| 1983 | 3,203 million USD | -22.7% |
| 1984 | 3,568 million USD | +11.4% |
| 1985 | 4,293 million USD | +20.3% |
| 1986 | 4,576 million USD | +6.6% |
| 1987 | 4,693 million USD | +2.5% |
| 1988 | 4,824 million USD | +2.8% |
| 1989 | 5,534 million USD | +14.7% |
| 1990 | 5,139 million USD | -7.1% |
| 1991 | 5,486 million USD | +6.8% |
| 1992 | 3,972 million USD | -27.6% |
| 1993 | 4,796 million USD | +20.7% |
| 1994 | 5,175 million USD | +7.9% |
| 1995 | 4,145 million USD | -19.9% |
| 1996 | 5,140 million USD | +24.0% |
| 1997 | 5,186 million USD | +0.9% |
| 1998 | 4,911 million USD | -5.3% |
| 1999 | 5,216 million USD | +6.2% |
| 2000 | 5,461 million USD | +4.7% |
| 2001 | 5,281 million USD | -3.3% |
| 2002 | 5,624 million USD | +6.5% |
| 2003 | 5,662 million USD | +0.7% |
| 2004 | 5,711 million USD | +0.9% |
| 2005 | 5,871 million USD | +2.8% |
| 2006 | 5,551 million USD | -5.5% |
| 2007 | 5,716 million USD | +3.0% |
| 2008 | 6,826 million USD | +19.4% |
| 2009 | 6,696 million USD | -1.9% |
| 2010 | 6,676 million USD | -0.3% |
| 2011 | 6,809 million USD | +2.0% |
| 2012 | 6,929 million USD | +1.8% |
| 2013 | 7,240 million USD | +4.5% |
| 2014 | 8,033 million USD | +10.9% |
| 2015 | 7,740 million USD | -3.6% |
| 2016 | 7,342 million USD | -5.2% |
| 2017 | 8,743 million USD | +19.1% |
| 2018 | 8,786 million USD | +0.5% |
| 2019 | 8,213 million USD | -6.5% |
| 2020 | 9,678 million USD | +17.8% |
| 2021 | 10,398 million USD | +7.4% |
| 2022 | 10,490 million USD | +0.9% |
| 2023 | 9,213 million USD | -12.2% |
| 2024 | 8,478 million USD | -8.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 3,500 million USD | 2,854 million USD | 3,976 million USD | 10 |
| 1980s | 4,364 million USD | 3,203 million USD | 5,534 million USD | 10 |
| 1990s | 4,917 million USD | 3,972 million USD | 5,486 million USD | 10 |
| 2000s | 5,840 million USD | 5,281 million USD | 6,826 million USD | 10 |
| 2010s | 7,651 million USD | 6,676 million USD | 8,786 million USD | 10 |
| 2020s | 9,652 million USD | 8,478 million USD | 10,490 million USD | 5 |
Countries ranked near South Africa
More environment data for South Africa
- Historical exposure to drought — Land soil moisture anomaly 5.46 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 8.52 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.275 °C (2025)
- Temperature change 1.05 °C (2025)
- Sawnwood, non-coniferous — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood, non-coniferous — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Production, per capita 0.002 m3 per person (2024)
- Sawnwood, non-coniferous — Import quantity, annual growth rate -0.3469 % change on previous year (2024)
- Sawnwood, non-coniferous — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in South Africa?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in South Africa was 8,478 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$, 2015 recorded in South Africa?
- The highest recorded value was 10,490 million USD in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in South Africa?
- The lowest recorded value was 2,854 million USD in 1970.
- How does South Africa rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- South Africa ranks 50th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in South Africa?
- Over the last ten years it is up 5.5%. The long-run trend across the full record is rising.
- Where does this South Africa 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$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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).