Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Northern Africa
Northern Africa: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 118,671 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Northern Africa, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Northern Africa stood at 118,671 million USD.
That represents a change of up 0.2% on the previous year and up 21.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Northern Africa peaked at 118,758 million USD in 2022 and was at its lowest, 21,428 million USD, in 1970.
Northern Africa ranks 17th of 29 groups on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Northern Africa, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 21,428 million USD | — |
| 1971 | 22,375 million USD | +4.4% |
| 1972 | 22,711 million USD | +1.5% |
| 1973 | 22,399 million USD | -1.4% |
| 1974 | 23,488 million USD | +4.9% |
| 1975 | 24,748 million USD | +5.4% |
| 1976 | 26,079 million USD | +5.4% |
| 1977 | 25,986 million USD | -0.4% |
| 1978 | 26,225 million USD | +0.9% |
| 1979 | 26,256 million USD | +0.1% |
| 1980 | 27,368 million USD | +4.2% |
| 1981 | 27,502 million USD | +0.5% |
| 1982 | 28,068 million USD | +2.1% |
| 1983 | 28,015 million USD | -0.2% |
| 1984 | 28,507 million USD | +1.8% |
| 1985 | 31,304 million USD | +9.8% |
| 1986 | 33,354 million USD | +6.5% |
| 1987 | 32,594 million USD | -2.3% |
| 1988 | 35,312 million USD | +8.3% |
| 1989 | 35,506 million USD | +0.5% |
| 1990 | 35,851 million USD | +1.0% |
| 1991 | 40,392 million USD | +12.7% |
| 1992 | 38,386 million USD | -5.0% |
| 1993 | 37,943 million USD | -1.2% |
| 1994 | 41,046 million USD | +8.2% |
| 1995 | 39,339 million USD | -4.2% |
| 1996 | 46,698 million USD | +18.7% |
| 1997 | 46,017 million USD | -1.5% |
| 1998 | 50,253 million USD | +9.2% |
| 1999 | 51,836 million USD | +3.2% |
| 2000 | 52,527 million USD | +1.3% |
| 2001 | 56,618 million USD | +7.8% |
| 2002 | 57,250 million USD | +1.1% |
| 2003 | 61,831 million USD | +8.0% |
| 2004 | 64,252 million USD | +3.9% |
| 2005 | 64,882 million USD | +1.0% |
| 2006 | 69,365 million USD | +6.9% |
| 2007 | 69,523 million USD | +0.2% |
| 2008 | 74,280 million USD | +6.8% |
| 2009 | 78,842 million USD | +6.1% |
| 2010 | 81,932 million USD | +3.9% |
| 2011 | 86,513 million USD | +5.6% |
| 2012 | 90,544 million USD | +4.7% |
| 2013 | 94,557 million USD | +4.4% |
| 2014 | 97,958 million USD | +3.6% |
| 2015 | 101,617 million USD | +3.7% |
| 2016 | 100,040 million USD | -1.6% |
| 2017 | 106,871 million USD | +6.8% |
| 2018 | 110,081 million USD | +3.0% |
| 2019 | 113,085 million USD | +2.7% |
| 2020 | 112,507 million USD | -0.5% |
| 2021 | 116,897 million USD | +3.9% |
| 2022 | 118,758 million USD | +1.6% |
| 2023 | 118,391 million USD | -0.3% |
| 2024 | 118,671 million USD | +0.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 24,170 million USD | 21,428 million USD | 26,256 million USD | 10 |
| 1980s | 30,753 million USD | 27,368 million USD | 35,506 million USD | 10 |
| 1990s | 42,776 million USD | 35,851 million USD | 51,836 million USD | 10 |
| 2000s | 64,937 million USD | 52,527 million USD | 78,842 million USD | 10 |
| 2010s | 98,320 million USD | 81,932 million USD | 113,085 million USD | 10 |
| 2020s | 117,045 million USD | 112,507 million USD | 118,758 million USD | 5 |
Countries ranked near Northern Africa
- 14 Democratic People's Republic of Korea 3,499 million USD compare
- 14 Mexico 41,368 million USD compare
- 15 Lao People's Democratic Republic 3,145 million USD compare
- 15 Thailand 39,680 million USD compare
- 16 Philippines 35,486 million USD compare
- 16 Republic of Moldova 740.52 million USD compare
- 17 Ethiopia 35,413 million USD compare
- 17 Polynesia 358.17 million USD compare
- 18 Italy 34,228 million USD compare
- 18 Timor-Leste 336.81 million USD compare
- 19 Uzbekistan 33,140 million USD compare
- 19 Micronesia 207.49 million USD compare
- 20 Micronesia (Federated States of) 71.09 million USD compare
- 20 Spain 32,358 million USD compare
More environment data for Northern Africa
- Historical exposure to drought — Cropland soil moisture anomaly -13.93 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -20 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (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$, 2015 in Northern Africa?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Northern Africa was 118,671 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$, 2015 recorded in Northern Africa?
- The highest recorded value was 118,758 million USD in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Northern Africa?
- The lowest recorded value was 21,428 million USD in 1970.
- How does Northern Africa rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Northern Africa ranks 17th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Northern Africa?
- Over the last ten years it is up 21.1%. 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$, 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).