Value Added (Agriculture, Forestry and Fishing) — Value Standard in South Africa
South Africa: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 205,382 million SLC in 2024. ◆ Volatile
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
South Africa recorded 205,382 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 16.6% on the previous year and up 133.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in South Africa peaked at 205,382 million SLC in 2024 and was at its lowest, 878.87 million SLC, in 1970.
South Africa ranks 70th of 199 countries on this measure, 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 Standard in South Africa, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 878.87 million SLC | — |
| 1971 | 1,054 million SLC | +20.0% |
| 1972 | 1,171 million SLC | +11.0% |
| 1973 | 1,380 million SLC | +17.9% |
| 1974 | 2,036 million SLC | +47.6% |
| 1975 | 2,026 million SLC | -0.5% |
| 1976 | 2,009 million SLC | -0.9% |
| 1977 | 2,316 million SLC | +15.3% |
| 1978 | 2,529 million SLC | +9.2% |
| 1979 | 2,681 million SLC | +6.0% |
| 1980 | 3,730 million SLC | +39.1% |
| 1981 | 4,483 million SLC | +20.2% |
| 1982 | 4,429 million SLC | -1.2% |
| 1983 | 3,953 million SLC | -10.7% |
| 1984 | 5,004 million SLC | +26.6% |
| 1985 | 6,217 million SLC | +24.3% |
| 1986 | 6,973 million SLC | +12.1% |
| 1987 | 9,181 million SLC | +31.7% |
| 1988 | 11,380 million SLC | +24.0% |
| 1989 | 12,588 million SLC | +10.6% |
| 1990 | 12,437 million SLC | -1.2% |
| 1991 | 14,421 million SLC | +16.0% |
| 1992 | 13,556 million SLC | -6.0% |
| 1993 | 16,462 million SLC | +21.4% |
| 1994 | 20,471 million SLC | +24.3% |
| 1995 | 19,444 million SLC | -5.0% |
| 1996 | 23,978 million SLC | +23.3% |
| 1997 | 25,430 million SLC | +6.1% |
| 1998 | 25,661 million SLC | +0.9% |
| 1999 | 26,349 million SLC | +2.7% |
| 2000 | 27,537 million SLC | +4.5% |
| 2001 | 32,792 million SLC | +19.1% |
| 2002 | 40,235 million SLC | +22.7% |
| 2003 | 39,555 million SLC | -1.7% |
| 2004 | 39,852 million SLC | +0.8% |
| 2005 | 38,304 million SLC | -3.9% |
| 2006 | 42,201 million SLC | +10.2% |
| 2007 | 55,285 million SLC | +31.0% |
| 2008 | 67,184 million SLC | +21.5% |
| 2009 | 67,047 million SLC | -0.2% |
| 2010 | 64,406 million SLC | -3.9% |
| 2011 | 68,001 million SLC | +5.6% |
| 2012 | 70,497 million SLC | +3.7% |
| 2013 | 74,543 million SLC | +5.7% |
| 2014 | 87,876 million SLC | +17.9% |
| 2015 | 98,760 million SLC | +12.4% |
| 2016 | 114,904 million SLC | +16.3% |
| 2017 | 126,640 million SLC | +10.2% |
| 2018 | 121,246 million SLC | -4.3% |
| 2019 | 109,710 million SLC | -9.5% |
| 2020 | 143,788 million SLC | +31.1% |
| 2021 | 158,777 million SLC | +10.4% |
| 2022 | 187,606 million SLC | +18.2% |
| 2023 | 176,131 million SLC | -6.1% |
| 2024 | 205,382 million SLC | +16.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,808 million SLC | 878.87 million SLC | 2,681 million SLC | 10 |
| 1980s | 6,794 million SLC | 3,730 million SLC | 12,588 million SLC | 10 |
| 1990s | 19,821 million SLC | 12,437 million SLC | 26,349 million SLC | 10 |
| 2000s | 44,999 million SLC | 27,537 million SLC | 67,184 million SLC | 10 |
| 2010s | 93,658 million SLC | 64,406 million SLC | 126,640 million SLC | 10 |
| 2020s | 174,337 million SLC | 143,788 million SLC | 205,382 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)
- Sawlogs and veneer logs — Production, annual growth rate 0 % change on previous year (2024)
- Sawlogs and veneer logs, non-coniferous — Production, annual growth 0 % change on previous year (2024)
- Other industrial roundwood — Production, annual growth rate 0 % change on previous year (2024)
- Other industrial roundwood, non-coniferous (production) — Production 0 % change on previous year (2024)
- Wood charcoal — Production, annual growth rate 0 % change on previous year (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 205,382 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 205,382 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in South Africa?
- The lowest recorded value was 878.87 million SLC in 1970.
- How does South Africa rank for value added (agriculture, forestry and fishing) — value standard?
- South Africa ranks 70th out of 199 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 133.7%. The long-run trend across the full record is volatile.
- 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. 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).