Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Western Africa
Western Africa: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 190,936 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Western Africa, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Western Africa recorded 190,936 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 2.5% on the previous year and up 37.0% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Western Africa peaked at 190,936 million USD in 2024 and was at its lowest, 28,558 million USD, in 1970.
Western Africa ranks 14th of 29 groups on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Western Africa, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 28,558 million USD | — |
| 1971 | 33,124 million USD | +16.0% |
| 1972 | 32,586 million USD | -1.6% |
| 1973 | 31,035 million USD | -4.8% |
| 1974 | 33,307 million USD | +7.3% |
| 1975 | 31,778 million USD | -4.6% |
| 1976 | 31,422 million USD | -1.1% |
| 1977 | 31,858 million USD | +1.4% |
| 1978 | 31,701 million USD | -0.5% |
| 1979 | 30,032 million USD | -5.3% |
| 1980 | 30,084 million USD | +0.2% |
| 1981 | 29,994 million USD | -0.3% |
| 1982 | 29,562 million USD | -1.4% |
| 1983 | 29,300 million USD | -0.9% |
| 1984 | 28,733 million USD | -1.9% |
| 1985 | 33,340 million USD | +16.0% |
| 1986 | 35,866 million USD | +7.6% |
| 1987 | 35,334 million USD | -1.5% |
| 1988 | 38,164 million USD | +8.0% |
| 1989 | 39,625 million USD | +3.8% |
| 1990 | 40,589 million USD | +2.4% |
| 1991 | 41,810 million USD | +3.0% |
| 1992 | 41,906 million USD | +0.2% |
| 1993 | 42,516 million USD | +1.5% |
| 1994 | 43,935 million USD | +3.3% |
| 1995 | 45,641 million USD | +3.9% |
| 1996 | 47,562 million USD | +4.2% |
| 1997 | 49,105 million USD | +3.2% |
| 1998 | 51,891 million USD | +5.7% |
| 1999 | 54,063 million USD | +4.2% |
| 2000 | 55,233 million USD | +2.2% |
| 2001 | 57,474 million USD | +4.1% |
| 2002 | 75,587 million USD | +31.5% |
| 2003 | 80,504 million USD | +6.5% |
| 2004 | 83,899 million USD | +4.2% |
| 2005 | 89,326 million USD | +6.5% |
| 2006 | 94,923 million USD | +6.3% |
| 2007 | 100,037 million USD | +5.4% |
| 2008 | 106,728 million USD | +6.7% |
| 2009 | 111,826 million USD | +4.8% |
| 2010 | 118,291 million USD | +5.8% |
| 2011 | 120,861 million USD | +2.2% |
| 2012 | 129,097 million USD | +6.8% |
| 2013 | 133,030 million USD | +3.0% |
| 2014 | 139,413 million USD | +4.8% |
| 2015 | 144,673 million USD | +3.8% |
| 2016 | 151,205 million USD | +4.5% |
| 2017 | 158,238 million USD | +4.7% |
| 2018 | 163,855 million USD | +3.5% |
| 2019 | 167,897 million USD | +2.5% |
| 2020 | 172,375 million USD | +2.7% |
| 2021 | 177,007 million USD | +2.7% |
| 2022 | 183,254 million USD | +3.5% |
| 2023 | 186,365 million USD | +1.7% |
| 2024 | 190,936 million USD | +2.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 31,540 million USD | 28,558 million USD | 33,307 million USD | 10 |
| 1980s | 33,000 million USD | 28,733 million USD | 39,625 million USD | 10 |
| 1990s | 45,902 million USD | 40,589 million USD | 54,063 million USD | 10 |
| 2000s | 85,554 million USD | 55,233 million USD | 111,826 million USD | 10 |
| 2010s | 142,656 million USD | 118,291 million USD | 167,897 million USD | 10 |
| 2020s | 181,987 million USD | 172,375 million USD | 190,936 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 — Land soil moisture anomaly -6.69 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.59 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$, 2015 in Western Africa?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Western Africa was 190,936 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$, 2015 recorded in Western Africa?
- The highest recorded value was 190,936 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Western Africa?
- The lowest recorded value was 28,558 million USD in 1970.
- How does Western Africa rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Western Africa ranks 14th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Western Africa?
- Over the last ten years it is up 37.0%. 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$, 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).