Value Added (Agriculture, Forestry and Fishing) — Value US$ in Western Africa
Western Africa: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 117,307 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Western 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$ in Western Africa is 117,307 million USD, measured in 2024.
That represents a change of down 25.0% on the previous year and down 26.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Western Africa peaked at 177,653 million USD in 2022 and was at its lowest, 9,485 million USD, in 1970.
Western Africa ranks 20th of 29 groups 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 US$ in Western Africa, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 9,485 million USD | — |
| 1971 | 11,019 million USD | +16.2% |
| 1972 | 12,329 million USD | +11.9% |
| 1973 | 12,958 million USD | +5.1% |
| 1974 | 17,046 million USD | +31.5% |
| 1975 | 21,084 million USD | +23.7% |
| 1976 | 23,373 million USD | +10.9% |
| 1977 | 26,750 million USD | +14.4% |
| 1978 | 30,972 million USD | +15.8% |
| 1979 | 36,655 million USD | +18.3% |
| 1980 | 43,419 million USD | +18.5% |
| 1981 | 39,379 million USD | -9.3% |
| 1982 | 41,090 million USD | +4.3% |
| 1983 | 43,642 million USD | +6.2% |
| 1984 | 49,517 million USD | +13.5% |
| 1985 | 48,343 million USD | -2.4% |
| 1986 | 32,664 million USD | -32.4% |
| 1987 | 26,561 million USD | -18.7% |
| 1988 | 31,619 million USD | +19.0% |
| 1989 | 26,928 million USD | -14.8% |
| 1990 | 29,618 million USD | +10.0% |
| 1991 | 29,601 million USD | -0.1% |
| 1992 | 27,645 million USD | -6.6% |
| 1993 | 28,577 million USD | +3.4% |
| 1994 | 24,656 million USD | -13.7% |
| 1995 | 27,969 million USD | +13.4% |
| 1996 | 30,330 million USD | +8.4% |
| 1997 | 30,267 million USD | -0.2% |
| 1998 | 32,231 million USD | +6.5% |
| 1999 | 31,567 million USD | -2.1% |
| 2000 | 27,810 million USD | -11.9% |
| 2001 | 32,288 million USD | +16.1% |
| 2002 | 50,968 million USD | +57.9% |
| 2003 | 54,436 million USD | +6.8% |
| 2004 | 57,610 million USD | +5.8% |
| 2005 | 68,876 million USD | +19.6% |
| 2006 | 82,878 million USD | +20.3% |
| 2007 | 96,000 million USD | +15.8% |
| 2008 | 120,844 million USD | +25.9% |
| 2009 | 112,415 million USD | -7.0% |
| 2010 | 124,210 million USD | +10.5% |
| 2011 | 131,564 million USD | +5.9% |
| 2012 | 141,392 million USD | +7.5% |
| 2013 | 151,595 million USD | +7.2% |
| 2014 | 158,896 million USD | +4.8% |
| 2015 | 144,673 million USD | -9.0% |
| 2016 | 130,758 million USD | -9.6% |
| 2017 | 127,282 million USD | -2.7% |
| 2018 | 143,752 million USD | +12.9% |
| 2019 | 157,151 million USD | +9.3% |
| 2020 | 161,547 million USD | +2.8% |
| 2021 | 167,109 million USD | +3.4% |
| 2022 | 177,653 million USD | +6.3% |
| 2023 | 156,506 million USD | -11.9% |
| 2024 | 117,307 million USD | -25.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 20,167 million USD | 9,485 million USD | 36,655 million USD | 10 |
| 1980s | 38,316 million USD | 26,561 million USD | 49,517 million USD | 10 |
| 1990s | 29,246 million USD | 24,656 million USD | 32,231 million USD | 10 |
| 2000s | 70,412 million USD | 27,810 million USD | 120,844 million USD | 10 |
| 2010s | 141,127 million USD | 124,210 million USD | 158,896 million USD | 10 |
| 2020s | 156,024 million USD | 117,307 million USD | 177,653 million USD | 5 |
Countries ranked near Western Africa
More environment data for Western Africa
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.59 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -6.69 Percentage change (2025)
- Temperature change 1.37 °C (2025)
- Standard Deviation 0.311 °C (2025)
- Wood fuel, coniferous — Production 0 m3 (2024)
- Roundwood, non-coniferous — Production 241.74 million m3 (2024)
- Wood fuel, non-coniferous — Production 221.11 million m3 (2024)
- Industrial roundwood — Production 20.68 million m3 (2024)
- Industrial roundwood — Import quantity 79,324 m3 (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in Western Africa?
- Value added (agriculture, forestry and fishing) — value us$ in Western Africa was 117,307 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$ recorded in Western Africa?
- The highest recorded value was 177,653 million USD in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Western Africa?
- The lowest recorded value was 9,485 million USD in 1970.
- How does Western Africa rank for value added (agriculture, forestry and fishing) — value us$?
- Western Africa ranks 20th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Western Africa?
- Over the last ten years it is down 26.2%. The long-run trend across the full record is volatile.
- Where does this Western 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$. 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).