Value Added (Agriculture, Forestry and Fishing) — Value Standard in South Africa
South Africa: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 108,173 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in South Africa, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in South Africa stood at 108,173 million SLC.
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 standard in South Africa peaked at 133,843 million SLC in 2022 and was at its lowest, 36,414 million SLC, in 1970.
South Africa ranks 69th of 191 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in South Africa, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 36,414 million SLC | — |
| 1971 | 43,247 million SLC | +18.8% |
| 1972 | 42,970 million SLC | -0.6% |
| 1973 | 37,530 million SLC | -12.7% |
| 1974 | 48,929 million SLC | +30.4% |
| 1975 | 44,733 million SLC | -8.6% |
| 1976 | 43,650 million SLC | -2.4% |
| 1977 | 48,779 million SLC | +11.8% |
| 1978 | 50,734 million SLC | +4.0% |
| 1979 | 49,634 million SLC | -2.2% |
| 1980 | 54,588 million SLC | +10.0% |
| 1981 | 57,743 million SLC | +5.8% |
| 1982 | 52,866 million SLC | -8.4% |
| 1983 | 40,862 million SLC | -22.7% |
| 1984 | 45,521 million SLC | +11.4% |
| 1985 | 54,780 million SLC | +20.3% |
| 1986 | 58,389 million SLC | +6.6% |
| 1987 | 59,875 million SLC | +2.5% |
| 1988 | 61,554 million SLC | +2.8% |
| 1989 | 70,605 million SLC | +14.7% |
| 1990 | 65,566 million SLC | -7.1% |
| 1991 | 69,994 million SLC | +6.8% |
| 1992 | 50,678 million SLC | -27.6% |
| 1993 | 61,191 million SLC | +20.7% |
| 1994 | 66,026 million SLC | +7.9% |
| 1995 | 52,886 million SLC | -19.9% |
| 1996 | 65,579 million SLC | +24.0% |
| 1997 | 66,169 million SLC | +0.9% |
| 1998 | 62,662 million SLC | -5.3% |
| 1999 | 66,548 million SLC | +6.2% |
| 2000 | 69,675 million SLC | +4.7% |
| 2001 | 67,376 million SLC | -3.3% |
| 2002 | 71,755 million SLC | +6.5% |
| 2003 | 72,244 million SLC | +0.7% |
| 2004 | 72,865 million SLC | +0.9% |
| 2005 | 74,912 million SLC | +2.8% |
| 2006 | 70,820 million SLC | -5.5% |
| 2007 | 72,930 million SLC | +3.0% |
| 2008 | 87,087 million SLC | +19.4% |
| 2009 | 85,439 million SLC | -1.9% |
| 2010 | 85,182 million SLC | -0.3% |
| 2011 | 86,881 million SLC | +2.0% |
| 2012 | 88,413 million SLC | +1.8% |
| 2013 | 92,374 million SLC | +4.5% |
| 2014 | 102,488 million SLC | +10.9% |
| 2015 | 98,760 million SLC | -3.6% |
| 2016 | 93,672 million SLC | -5.2% |
| 2017 | 111,545 million SLC | +19.1% |
| 2018 | 112,097 million SLC | +0.5% |
| 2019 | 104,785 million SLC | -6.5% |
| 2020 | 123,482 million SLC | +17.8% |
| 2021 | 132,672 million SLC | +7.4% |
| 2022 | 133,843 million SLC | +0.9% |
| 2023 | 117,552 million SLC | -12.2% |
| 2024 | 108,173 million SLC | -8.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 44,662 million SLC | 36,414 million SLC | 50,734 million SLC | 10 |
| 1980s | 55,678 million SLC | 40,862 million SLC | 70,605 million SLC | 10 |
| 1990s | 62,730 million SLC | 50,678 million SLC | 69,994 million SLC | 10 |
| 2000s | 74,510 million SLC | 67,376 million SLC | 87,087 million SLC | 10 |
| 2010s | 97,620 million SLC | 85,182 million SLC | 112,097 million SLC | 10 |
| 2020s | 123,144 million SLC | 108,173 million SLC | 133,843 million SLC | 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)
- Land area equipped for irrigation — Area, annual growth rate 0 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 16.61 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 0.0032 million SLC per person (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, annual 17.38 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, per unit 0 million USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in South Africa?
- Value added (agriculture, forestry and fishing) — value standard in South Africa was 108,173 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in South Africa?
- The highest recorded value was 133,843 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in South Africa?
- The lowest recorded value was 36,414 million SLC in 1970.
- How does South Africa rank for value added (agriculture, forestry and fishing) — value standard?
- South Africa ranks 69th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard 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 Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).