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

Congo: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 977.23 million USD in 2024. ▲ Rising

Latest (2024)
977.23 million USD
Change on year
up 4.2%
World rank
148th
of 233 countries
All-time high
977.23 million USD
in 2024
All-time low
325.66 million USD
in 1975
Years of data
55
1970–2024

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

4006008001.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million USD.

Analysis

Congo recorded 977.23 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.

That represents a change of up 4.2% on the previous year and up 28.7% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Congo peaked at 977.23 million USD in 2024 and was at its lowest, 325.66 million USD, in 1975.

Congo ranks 148th of 233 countries on this measure, 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 Congo, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Congo, 1970 to 2024.
Year million USD Change
1970 351.89 million USD —
1971 358.49 million USD +1.9%
1972 360.85 million USD +0.7%
1973 358.27 million USD -0.7%
1974 342.14 million USD -4.5%
1975 325.66 million USD -4.8%
1976 343.04 million USD +5.3%
1977 370.31 million USD +8.0%
1978 378.83 million USD +2.3%
1979 429.43 million USD +13.4%
1980 472 million USD +9.9%
1981 453.75 million USD -3.9%
1982 475.64 million USD +4.8%
1983 497.7 million USD +4.6%
1984 487.88 million USD -2.0%
1985 492.45 million USD +0.9%
1986 519.97 million USD +5.6%
1987 544.84 million USD +4.8%
1988 531.08 million USD -2.5%
1989 514.83 million USD -3.1%
1990 478.01 million USD -7.2%
1991 421.58 million USD -11.8%
1992 459.62 million USD +9.0%
1993 404.65 million USD -12.0%
1994 429.48 million USD +6.1%
1995 458.55 million USD +6.8%
1996 432.4 million USD -5.7%
1997 393.2 million USD -9.1%
1998 451.15 million USD +14.7%
1999 381.94 million USD -15.3%
2000 461.93 million USD +20.9%
2001 441.79 million USD -4.4%
2002 478.62 million USD +8.3%
2003 529.1 million USD +10.5%
2004 519.96 million USD -1.7%
2005 540.28 million USD +3.9%
2006 547.8 million USD +1.4%
2007 536.79 million USD -2.0%
2008 576.69 million USD +7.4%
2009 566.53 million USD -1.8%
2010 590.38 million USD +4.2%
2011 625.99 million USD +6.0%
2012 741.36 million USD +18.4%
2013 760.65 million USD +2.6%
2014 759.39 million USD -0.2%
2015 722.53 million USD -4.9%
2016 720.44 million USD -0.3%
2017 829.63 million USD +15.2%
2018 799.95 million USD -3.6%
2019 836.53 million USD +4.6%
2020 869.21 million USD +3.9%
2021 885.72 million USD +1.9%
2022 912.29 million USD +3.0%
2023 937.84 million USD +2.8%
2024 977.23 million USD +4.2%

Congo compared with similar countries

  • Congo's 977.23 million USD is below the median for lower middle income countries, which is 2,758 million USD, 35% of the median. (44 countries reporting)
  • Congo's 977.23 million USD is below the median for Sub-Saharan Africa, which is 2,649 million USD, 37% of the median. (45 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1970s 361.89 million USD 325.66 million USD 429.43 million USD 10
1980s 499.02 million USD 453.75 million USD 544.84 million USD 10
1990s 431.06 million USD 381.94 million USD 478.01 million USD 10
2000s 519.95 million USD 441.79 million USD 576.69 million USD 10
2010s 738.68 million USD 590.38 million USD 836.53 million USD 10
2020s 916.46 million USD 869.21 million USD 977.23 million USD 5

Countries ranked near Congo

  1. 145 Kyrgyzstan 1,078 million USD compare
  2. 146 Bosnia and Herzegovina 1,020 million USD compare
  3. 147 Libya 1,002 million USD compare
  4. 149 Latvia 871.31 million USD compare
  5. 150 Zambia 871.14 million USD compare
  6. 151 Central African Republic 851.61 million USD compare

See the full ranking of 263 places →

More environment data for Congo

All data for Congo →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$, 2015 in Congo?
Value added (agriculture, forestry and fishing) — value us$, 2015 in Congo was 977.23 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$, 2015 recorded in Congo?
The highest recorded value was 977.23 million USD in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Congo?
The lowest recorded value was 325.66 million USD in 1975.
How does Congo rank for value added (agriculture, forestry and fishing) — value us$, 2015?
Congo ranks 148th out of 233 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Congo?
Over the last ten years it is up 28.7%. The long-run trend across the full record is rising.
Where does this Congo 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 Congo. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/congo-rep/

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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
263 places, 13,442 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).