Value Added (Agriculture, Forestry and Fishing) — Value US$ in Western Europe

Western Europe: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 122,205 million USD in 2024. ▲ Rising

Latest (2024)
122,205 million USD
Change on year
down 4.9%
Rank
19th
of 29 groups
All-time high
128,503 million USD
in 2023
All-time low
20,271 million USD
in 1970
Years of data
55
1970–2024

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

25.0k50.0k75.0k100.0k125.0k197019972024

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

Analysis

Western Europe recorded 122,205 million USD for value added (agriculture, forestry and fishing) — value us$ in 2024.

That represents a change of down 4.9% on the previous year and up 11.9% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Western Europe peaked at 128,503 million USD in 2023 and was at its lowest, 20,271 million USD, in 1970.

That places Western Europe 19th out of 29 groups 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$ in Western Europe, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$ in Western Europe, 1970 to 2024.
Year million USD Change
1970 20,271 million USD
1971 21,420 million USD +5.7%
1972 27,582 million USD +28.8%
1973 35,482 million USD +28.6%
1974 33,670 million USD -5.1%
1975 38,585 million USD +14.6%
1976 39,810 million USD +3.2%
1977 42,187 million USD +6.0%
1978 50,544 million USD +19.8%
1979 57,222 million USD +13.2%
1980 58,148 million USD +1.6%
1981 49,978 million USD -14.1%
1982 51,806 million USD +3.7%
1983 45,619 million USD -11.9%
1984 41,876 million USD -8.2%
1985 40,841 million USD -2.5%
1986 56,980 million USD +39.5%
1987 65,904 million USD +15.7%
1988 69,433 million USD +5.4%
1989 74,243 million USD +6.9%
1990 86,178 million USD +16.1%
1991 78,669 million USD -8.7%
1992 82,831 million USD +5.3%
1993 72,165 million USD -12.9%
1994 78,453 million USD +8.7%
1995 91,924 million USD +17.2%
1996 88,862 million USD -3.3%
1997 78,910 million USD -11.2%
1998 77,644 million USD -1.6%
1999 73,269 million USD -5.6%
2000 65,390 million USD -10.8%
2001 67,156 million USD +2.7%
2002 66,403 million USD -1.1%
2003 75,424 million USD +13.6%
2004 87,968 million USD +16.6%
2005 79,412 million USD -9.7%
2006 80,965 million USD +2.0%
2007 98,379 million USD +21.5%
2008 103,537 million USD +5.2%
2009 82,682 million USD -20.1%
2010 95,112 million USD +15.0%
2011 109,585 million USD +15.2%
2012 102,582 million USD -6.4%
2013 104,256 million USD +1.6%
2014 109,164 million USD +4.7%
2015 87,293 million USD -20.0%
2016 86,134 million USD -1.3%
2017 99,409 million USD +15.4%
2018 102,533 million USD +3.1%
2019 100,991 million USD -1.5%
2020 97,417 million USD -3.5%
2021 108,184 million USD +11.1%
2022 124,226 million USD +14.8%
2023 128,503 million USD +3.4%
2024 122,205 million USD -4.9%

Averages by decade

DecadeAverage LowestHighest Years
1970s 36,677 million USD 20,271 million USD 57,222 million USD 10
1980s 55,483 million USD 40,841 million USD 74,243 million USD 10
1990s 80,891 million USD 72,165 million USD 91,924 million USD 10
2000s 80,732 million USD 65,390 million USD 103,537 million USD 10
2010s 99,706 million USD 86,134 million USD 109,585 million USD 10
2020s 116,107 million USD 97,417 million USD 128,503 million USD 5

Countries ranked near Western Europe

  1. 16 Egypt 42,083 million USD compare
  2. 17 Philippines 41,919 million USD compare
  3. 18 Japan 39,987 million USD compare
  4. 19 Canada 39,957 million USD compare
  5. 20 Germany 38,505 million USD compare
  6. 21 Nigeria 38,188 million USD compare
  7. 22 Colombia 38,181 million USD compare

See the full ranking of 249 places →

More environment data for Western Europe

All data for Western Europe →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$ in Western Europe?
Value added (agriculture, forestry and fishing) — value us$ in Western Europe was 122,205 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 Western Europe?
The highest recorded value was 128,503 million USD in 2023.
What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Western Europe?
The lowest recorded value was 20,271 million USD in 1970.
How does Western Europe rank for value added (agriculture, forestry and fishing) — value us$?
Western Europe ranks 19th out of 29 groups with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Western Europe?
Over the last ten years it is up 11.9%. The long-run trend across the full record is rising.
Where does this Western Europe 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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Value Added (Agriculture, Forestry and Fishing) — Value US$ in Western Europe. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us/western-europe/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value US$
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).