Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Middle Africa

Middle Africa: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 41,096 million USD in 2024. ▲ Rising

Latest (2024)
41,096 million USD
Change on year
up 4.7%
Rank
6th
of 20 regions
All-time high
41,096 million USD
in 2024
All-time low
9,470 million USD
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Middle Africa, 1970–2024

10.0k20.0k30.0k40.0k197019972024

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 Middle Africa stood at 41,096 million USD. That is the highest value across all 55 years on record.

The figure is up 4.7% on the previous year and up 50.9% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Middle Africa peaked at 41,096 million USD in 2024 and was at its lowest, 9,470 million USD, in 1970.

That places Middle Africa 6th out of 20 regions with data for 2024, putting it in the middle of the range.

The long-run direction has been consistently rising across the 55 years of available data.

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Middle Africa, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Middle Africa, 1970 to 2024.
Year million USD Change
1970 9,470 million USD
1971 9,857 million USD +4.1%
1972 9,896 million USD +0.4%
1973 10,360 million USD +4.7%
1974 10,798 million USD +4.2%
1975 10,752 million USD -0.4%
1976 10,789 million USD +0.3%
1977 10,786 million USD -0.0%
1978 10,749 million USD -0.3%
1979 10,825 million USD +0.7%
1980 11,262 million USD +4.0%
1981 11,140 million USD -1.1%
1982 11,242 million USD +0.9%
1983 11,621 million USD +3.4%
1984 12,251 million USD +5.4%
1985 12,300 million USD +0.4%
1986 12,398 million USD +0.8%
1987 12,597 million USD +1.6%
1988 12,791 million USD +1.5%
1989 13,206 million USD +3.2%
1990 13,330 million USD +0.9%
1991 13,545 million USD +1.6%
1992 12,841 million USD -5.2%
1993 11,493 million USD -10.5%
1994 12,029 million USD +4.7%
1995 13,230 million USD +10.0%
1996 13,758 million USD +4.0%
1997 14,091 million USD +2.4%
1998 14,432 million USD +2.4%
1999 14,743 million USD +2.2%
2000 14,511 million USD -1.6%
2001 14,960 million USD +3.1%
2002 15,148 million USD +1.3%
2003 15,961 million USD +5.4%
2004 16,650 million USD +4.3%
2005 17,040 million USD +2.3%
2006 18,371 million USD +7.8%
2007 19,608 million USD +6.7%
2008 19,931 million USD +1.6%
2009 20,725 million USD +4.0%
2010 22,622 million USD +9.2%
2011 23,374 million USD +3.3%
2012 24,489 million USD +4.8%
2013 25,036 million USD +2.2%
2014 27,233 million USD +8.8%
2015 29,144 million USD +7.0%
2016 31,284 million USD +7.3%
2017 32,438 million USD +3.7%
2018 32,876 million USD +1.4%
2019 33,301 million USD +1.3%
2020 34,128 million USD +2.5%
2021 37,074 million USD +8.6%
2022 38,296 million USD +3.3%
2023 39,248 million USD +2.5%
2024 41,096 million USD +4.7%

Averages by decade

DecadeAverage LowestHighest Years
1970s 10,428 million USD 9,470 million USD 10,825 million USD 10
1980s 12,081 million USD 11,140 million USD 13,206 million USD 10
1990s 13,349 million USD 11,493 million USD 14,743 million USD 10
2000s 17,291 million USD 14,511 million USD 20,725 million USD 10
2010s 28,180 million USD 22,622 million USD 33,301 million USD 10
2020s 37,968 million USD 34,128 million USD 41,096 million USD 5

Countries ranked near Middle Africa

  1. 3 Indonesia 145,191 million USD compare
  2. 3 Türkiye 69,137 million USD compare
  3. 4 Nigeria 124,966 million USD compare
  4. 5 USSR 121,217 million USD compare
  5. 6 Brazil 99,335 million USD compare
  6. 7 Pakistan 90,262 million USD compare
  7. 8 Russian Federation 60,030 million USD compare
  8. 9 Democratic Republic of the Congo 8,590 million USD compare
  9. 9 Australia and New Zealand 53,208 million USD compare

See the full ranking of 249 places →

More environment data for Middle Africa

All data for Middle Africa →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$, 2015 in Middle Africa?
Value added (agriculture, forestry and fishing) — value us$, 2015 in Middle Africa was 41,096 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$, 2015 recorded in Middle Africa?
The highest recorded value was 41,096 million USD in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Middle Africa?
The lowest recorded value was 9,470 million USD in 1970.
How does Middle Africa rank for value added (agriculture, forestry and fishing) — value us$, 2015?
Middle Africa ranks 6th out of 20 regions with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Middle Africa?
Over the last ten years it is up 50.9%. The long-run trend across the full record is rising.
Where does this Middle 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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Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Middle Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 30 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/middle-africa/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 data points, 1970–2024
Last refreshed

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).