Value Added (Agriculture, Forestry and Fishing) — Value US$ in Northern Africa
Northern Africa: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 104,138 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Northern Africa, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Northern Africa recorded 104,138 million USD for value added (agriculture, forestry and fishing) — value us$ in 2024. That is the highest value across all 55 years on record.
The figure is up 13.5% on the previous year and up 4.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Northern Africa peaked at 104,138 million USD in 2024 and was at its lowest, 4,412 million USD, in 1970.
That places Northern Africa 21st out of 29 groups with data for 2024, putting it 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 Northern Africa, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 4,412 million USD | — |
| 1971 | 4,683 million USD | +6.1% |
| 1972 | 5,512 million USD | +17.7% |
| 1973 | 6,573 million USD | +19.3% |
| 1974 | 7,700 million USD | +17.2% |
| 1975 | 9,336 million USD | +21.2% |
| 1976 | 10,550 million USD | +13.0% |
| 1977 | 11,512 million USD | +9.1% |
| 1978 | 13,928 million USD | +21.0% |
| 1979 | 12,880 million USD | -7.5% |
| 1980 | 15,250 million USD | +18.4% |
| 1981 | 13,488 million USD | -11.6% |
| 1982 | 13,308 million USD | -1.3% |
| 1983 | 13,189 million USD | -0.9% |
| 1984 | 14,120 million USD | +7.1% |
| 1985 | 16,205 million USD | +14.8% |
| 1986 | 19,942 million USD | +23.1% |
| 1987 | 22,564 million USD | +13.1% |
| 1988 | 23,930 million USD | +6.1% |
| 1989 | 25,064 million USD | +4.7% |
| 1990 | 28,102 million USD | +12.1% |
| 1991 | 26,240 million USD | -6.6% |
| 1992 | 27,650 million USD | +5.4% |
| 1993 | 28,168 million USD | +1.9% |
| 1994 | 27,386 million USD | -2.8% |
| 1995 | 28,549 million USD | +4.2% |
| 1996 | 31,233 million USD | +9.4% |
| 1997 | 30,327 million USD | -2.9% |
| 1998 | 33,824 million USD | +11.5% |
| 1999 | 33,139 million USD | -2.0% |
| 2000 | 31,167 million USD | -6.0% |
| 2001 | 31,325 million USD | +0.5% |
| 2002 | 30,727 million USD | -1.9% |
| 2003 | 34,667 million USD | +12.8% |
| 2004 | 39,370 million USD | +13.6% |
| 2005 | 43,781 million USD | +11.2% |
| 2006 | 50,932 million USD | +16.3% |
| 2007 | 62,154 million USD | +22.0% |
| 2008 | 70,713 million USD | +13.8% |
| 2009 | 73,167 million USD | +3.5% |
| 2010 | 81,708 million USD | +11.7% |
| 2011 | 88,565 million USD | +8.4% |
| 2012 | 88,537 million USD | -0.0% |
| 2013 | 90,695 million USD | +2.4% |
| 2014 | 99,981 million USD | +10.2% |
| 2015 | 101,617 million USD | +1.6% |
| 2016 | 92,618 million USD | -8.9% |
| 2017 | 89,744 million USD | -3.1% |
| 2018 | 79,601 million USD | -11.3% |
| 2019 | 85,567 million USD | +7.5% |
| 2020 | 90,406 million USD | +5.7% |
| 2021 | 99,685 million USD | +10.3% |
| 2022 | 95,640 million USD | -4.1% |
| 2023 | 91,781 million USD | -4.0% |
| 2024 | 104,138 million USD | +13.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 8,709 million USD | 4,412 million USD | 13,928 million USD | 10 |
| 1980s | 17,706 million USD | 13,189 million USD | 25,064 million USD | 10 |
| 1990s | 29,462 million USD | 26,240 million USD | 33,824 million USD | 10 |
| 2000s | 46,800 million USD | 30,727 million USD | 73,167 million USD | 10 |
| 2010s | 89,863 million USD | 79,601 million USD | 101,617 million USD | 10 |
| 2020s | 96,330 million USD | 90,406 million USD | 104,138 million USD | 5 |
Countries ranked near Northern Africa
More environment data for Northern Africa
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly -20 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -13.93 Percentage change (2025)
- Standard Deviation 0.281 °C (2025)
- Temperature change 1.61 °C (2025)
- Total fibre furnish — Production 864,000 t (2024)
- Recovered paper — Production 701,000 t (2024)
- Agricultural land — Share in Land area 27.72 % (2024)
- Nutrient potash K2O (total) — Use per area of cropland 4.57 kg/ha (2024)
- Nutrient potash K2O (total) — Use per capita 0.84 kg/cap (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in Northern Africa?
- Value added (agriculture, forestry and fishing) — value us$ in Northern Africa was 104,138 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 Northern Africa?
- The highest recorded value was 104,138 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Northern Africa?
- The lowest recorded value was 4,412 million USD in 1970.
- How does Northern Africa rank for value added (agriculture, forestry and fishing) — value us$?
- Northern Africa ranks 21st out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Northern Africa?
- Over the last ten years it is up 4.2%. The long-run trend across the full record is volatile.
- Where does this Northern 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).