Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Africa
Africa: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 467,861 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Africa, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Africa stood at 467,861 million USD. That is the highest value across all 55 years on record.
The figure is up 2.3% on the previous year and up 35.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Africa peaked at 467,861 million USD in 2024 and was at its lowest, 83,150 million USD, in 1970.
That places Africa 6th out of 29 groups with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Africa, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 83,150 million USD | — |
| 1971 | 90,263 million USD | +8.6% |
| 1972 | 91,016 million USD | +0.8% |
| 1973 | 89,283 million USD | -1.9% |
| 1974 | 94,284 million USD | +5.6% |
| 1975 | 94,113 million USD | -0.2% |
| 1976 | 96,004 million USD | +2.0% |
| 1977 | 97,180 million USD | +1.2% |
| 1978 | 97,447 million USD | +0.3% |
| 1979 | 95,799 million USD | -1.7% |
| 1980 | 98,232 million USD | +2.5% |
| 1981 | 99,324 million USD | +1.1% |
| 1982 | 99,821 million USD | +0.5% |
| 1983 | 99,244 million USD | -0.6% |
| 1984 | 99,502 million USD | +0.3% |
| 1985 | 107,909 million USD | +8.4% |
| 1986 | 114,143 million USD | +5.8% |
| 1987 | 114,839 million USD | +0.6% |
| 1988 | 121,608 million USD | +5.9% |
| 1989 | 125,442 million USD | +3.2% |
| 1990 | 128,725 million USD | +2.6% |
| 1991 | 135,712 million USD | +5.4% |
| 1992 | 130,226 million USD | -4.0% |
| 1993 | 131,837 million USD | +1.2% |
| 1994 | 136,663 million USD | +3.7% |
| 1995 | 138,563 million USD | +1.4% |
| 1996 | 152,091 million USD | +9.8% |
| 1997 | 153,674 million USD | +1.0% |
| 1998 | 161,594 million USD | +5.2% |
| 1999 | 167,943 million USD | +3.9% |
| 2000 | 170,326 million USD | +1.4% |
| 2001 | 180,011 million USD | +5.7% |
| 2002 | 199,185 million USD | +10.7% |
| 2003 | 209,221 million USD | +5.0% |
| 2004 | 218,082 million USD | +4.2% |
| 2005 | 227,775 million USD | +4.4% |
| 2006 | 241,185 million USD | +5.9% |
| 2007 | 250,039 million USD | +3.7% |
| 2008 | 264,137 million USD | +5.6% |
| 2009 | 277,780 million USD | +5.2% |
| 2010 | 292,427 million USD | +5.3% |
| 2011 | 303,541 million USD | +3.8% |
| 2012 | 318,944 million USD | +5.1% |
| 2013 | 329,861 million USD | +3.4% |
| 2014 | 346,216 million USD | +5.0% |
| 2015 | 359,979 million USD | +4.0% |
| 2016 | 369,233 million USD | +2.6% |
| 2017 | 389,180 million USD | +5.4% |
| 2018 | 401,800 million USD | +3.2% |
| 2019 | 411,952 million USD | +2.5% |
| 2020 | 421,727 million USD | +2.4% |
| 2021 | 437,549 million USD | +3.8% |
| 2022 | 450,072 million USD | +2.9% |
| 2023 | 457,327 million USD | +1.6% |
| 2024 | 467,861 million USD | +2.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 92,854 million USD | 83,150 million USD | 97,447 million USD | 10 |
| 1980s | 108,007 million USD | 98,232 million USD | 125,442 million USD | 10 |
| 1990s | 143,703 million USD | 128,725 million USD | 167,943 million USD | 10 |
| 2000s | 223,774 million USD | 170,326 million USD | 277,780 million USD | 10 |
| 2010s | 352,313 million USD | 292,427 million USD | 411,952 million USD | 10 |
| 2020s | 446,907 million USD | 421,727 million USD | 467,861 million USD | 5 |
Countries ranked near Africa
More environment data for Africa
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -7.12 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -7.93 Percentage change (2025)
- Temperature change 1.32 °C (2025)
- Standard Deviation 0.213 °C (2025)
- Other industrial roundwood, non-coniferous (production) — Production 26.92 million m3 (2024)
- Industrial roundwood — Export quantity 2.46 million m3 (2024)
- Industrial roundwood — Export value 652,409 1000 USD (2024)
- Industrial roundwood, non-coniferous — Production 66.41 million m3 (2024)
- Sawlogs and veneer logs — Production 39.12 million m3 (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Africa?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Africa was 467,861 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$, 2015 recorded in Africa?
- The highest recorded value was 467,861 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Africa?
- The lowest recorded value was 83,150 million USD in 1970.
- How does Africa rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Africa ranks 6th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Africa?
- Over the last ten years it is up 35.1%. The long-run trend across the full record is volatile.
- Where does this 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).