Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Southern Africa
Southern Africa: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 10,111 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Southern Africa, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Southern Africa recorded 10,111 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024.
That represents a change of down 6.9% on the previous year and up 5.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Southern Africa peaked at 12,150 million USD in 2022 and was at its lowest, 3,507 million USD, in 1970.
That places Southern Africa 28th out of 29 groups with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Southern Africa, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 3,507 million USD | — |
| 1971 | 4,078 million USD | +16.3% |
| 1972 | 4,114 million USD | +0.9% |
| 1973 | 3,780 million USD | -8.1% |
| 1974 | 4,764 million USD | +26.0% |
| 1975 | 4,429 million USD | -7.0% |
| 1976 | 4,364 million USD | -1.4% |
| 1977 | 4,811 million USD | +10.2% |
| 1978 | 5,002 million USD | +4.0% |
| 1979 | 4,933 million USD | -1.4% |
| 1980 | 5,364 million USD | +8.7% |
| 1981 | 5,615 million USD | +4.7% |
| 1982 | 5,181 million USD | -7.7% |
| 1983 | 4,227 million USD | -18.4% |
| 1984 | 4,549 million USD | +7.6% |
| 1985 | 5,337 million USD | +17.3% |
| 1986 | 5,677 million USD | +6.4% |
| 1987 | 5,787 million USD | +1.9% |
| 1988 | 5,954 million USD | +2.9% |
| 1989 | 6,747 million USD | +13.3% |
| 1990 | 6,354 million USD | -5.8% |
| 1991 | 6,775 million USD | +6.6% |
| 1992 | 5,114 million USD | -24.5% |
| 1993 | 5,838 million USD | +14.2% |
| 1994 | 6,372 million USD | +9.1% |
| 1995 | 5,356 million USD | -15.9% |
| 1996 | 6,460 million USD | +20.6% |
| 1997 | 6,436 million USD | -0.4% |
| 1998 | 6,157 million USD | -4.3% |
| 1999 | 6,592 million USD | +7.0% |
| 2000 | 6,879 million USD | +4.4% |
| 2001 | 6,652 million USD | -3.3% |
| 2002 | 7,058 million USD | +6.1% |
| 2003 | 7,155 million USD | +1.4% |
| 2004 | 7,223 million USD | +0.9% |
| 2005 | 7,563 million USD | +4.7% |
| 2006 | 7,279 million USD | -3.8% |
| 2007 | 7,412 million USD | +1.8% |
| 2008 | 8,281 million USD | +11.7% |
| 2009 | 8,253 million USD | -0.3% |
| 2010 | 8,285 million USD | +0.4% |
| 2011 | 8,442 million USD | +1.9% |
| 2012 | 8,661 million USD | +2.6% |
| 2013 | 8,815 million USD | +1.8% |
| 2014 | 9,608 million USD | +9.0% |
| 2015 | 9,227 million USD | -4.0% |
| 2016 | 8,900 million USD | -3.5% |
| 2017 | 10,254 million USD | +15.2% |
| 2018 | 10,357 million USD | +1.0% |
| 2019 | 9,768 million USD | -5.7% |
| 2020 | 11,263 million USD | +15.3% |
| 2021 | 12,020 million USD | +6.7% |
| 2022 | 12,150 million USD | +1.1% |
| 2023 | 10,859 million USD | -10.6% |
| 2024 | 10,111 million USD | -6.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 4,378 million USD | 3,507 million USD | 5,002 million USD | 10 |
| 1980s | 5,444 million USD | 4,227 million USD | 6,747 million USD | 10 |
| 1990s | 6,145 million USD | 5,114 million USD | 6,775 million USD | 10 |
| 2000s | 7,375 million USD | 6,652 million USD | 8,281 million USD | 10 |
| 2010s | 9,232 million USD | 8,285 million USD | 10,357 million USD | 10 |
| 2020s | 11,281 million USD | 10,111 million USD | 12,150 million USD | 5 |
Countries ranked near Southern Africa
- 25 Republic of Korea 27,381 million USD compare
- 26 Malaysia 26,338 million USD compare
- 27 Côte d'Ivoire 11,671 million USD compare
- 27 Sudan 24,800 million USD compare
- 28 Algeria 24,595 million USD compare
- 29 Cabo Verde 81.9 million USD compare
- 29 Saudi Arabia 24,348 million USD compare
- 30 Colombia 23,129 million USD compare
- 31 United Kingdom of Great Britain and Northern Ireland 18,767 million USD compare
More environment data for Southern Africa
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 7.61 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly 4.17 Percentage change (2025)
- Temperature change 0.892 °C (2025)
- Standard Deviation 0.282 °C (2025)
- Wood fuel, coniferous — Production 770,000 m3 (2024)
- Roundwood, non-coniferous — Production 27.42 million m3 (2024)
- Wood fuel, non-coniferous — Production 17.80 million m3 (2024)
- Industrial roundwood — Production 17.26 million m3 (2024)
- Industrial roundwood — Import quantity 161,260 m3 (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Southern Africa?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Southern Africa was 10,111 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$, 2015 recorded in Southern Africa?
- The highest recorded value was 12,150 million USD in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Southern Africa?
- The lowest recorded value was 3,507 million USD in 1970.
- How does Southern Africa rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Southern Africa ranks 28th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Southern Africa?
- Over the last ten years it is up 5.2%. The long-run trend across the full record is rising.
- Where does this Southern 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.
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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).