Value Added (Agriculture, Forestry and Fishing) — Value US$ in Southern Europe
Southern Europe: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 130,711 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Southern Europe, 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$ in Southern Europe stood at 130,711 million USD. That is the highest value across all 55 years on record.
That represents a change of up 15.5% on the previous year and up 29.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Southern Europe peaked at 130,711 million USD in 2024 and was at its lowest, 19,737 million USD, in 1970.
Southern Europe ranks 18th of 29 groups 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$ in Southern Europe, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 19,737 million USD | — |
| 1971 | 21,552 million USD | +9.2% |
| 1972 | 23,810 million USD | +10.5% |
| 1973 | 31,348 million USD | +31.7% |
| 1974 | 34,412 million USD | +9.8% |
| 1975 | 39,426 million USD | +14.6% |
| 1976 | 38,580 million USD | -2.1% |
| 1977 | 41,689 million USD | +8.1% |
| 1978 | 48,391 million USD | +16.1% |
| 1979 | 57,027 million USD | +17.8% |
| 1980 | 62,455 million USD | +9.5% |
| 1981 | 53,770 million USD | -13.9% |
| 1982 | 52,345 million USD | -2.6% |
| 1983 | 50,585 million USD | -3.4% |
| 1984 | 48,592 million USD | -3.9% |
| 1985 | 47,112 million USD | -3.0% |
| 1986 | 60,364 million USD | +28.1% |
| 1987 | 70,403 million USD | +16.6% |
| 1988 | 74,197 million USD | +5.4% |
| 1989 | 76,190 million USD | +2.7% |
| 1990 | 88,962 million USD | +16.8% |
| 1991 | 92,017 million USD | +3.4% |
| 1992 | 89,822 million USD | -2.4% |
| 1993 | 74,366 million USD | -17.2% |
| 1994 | 76,448 million USD | +2.8% |
| 1995 | 81,907 million USD | +7.1% |
| 1996 | 90,389 million USD | +10.4% |
| 1997 | 81,689 million USD | -9.6% |
| 1998 | 81,294 million USD | -0.5% |
| 1999 | 77,104 million USD | -5.2% |
| 2000 | 67,903 million USD | -11.9% |
| 2001 | 68,641 million USD | +1.1% |
| 2002 | 72,587 million USD | +5.7% |
| 2003 | 90,018 million USD | +24.0% |
| 2004 | 99,919 million USD | +11.0% |
| 2005 | 93,480 million USD | -6.4% |
| 2006 | 90,941 million USD | -2.7% |
| 2007 | 104,272 million USD | +14.7% |
| 2008 | 112,468 million USD | +7.9% |
| 2009 | 99,629 million USD | -11.4% |
| 2010 | 96,805 million USD | -2.8% |
| 2011 | 103,605 million USD | +7.0% |
| 2012 | 94,954 million USD | -8.4% |
| 2013 | 104,806 million USD | +10.4% |
| 2014 | 101,125 million USD | -3.5% |
| 2015 | 91,122 million USD | -9.9% |
| 2016 | 91,134 million USD | +0.0% |
| 2017 | 96,672 million USD | +6.1% |
| 2018 | 102,008 million USD | +5.5% |
| 2019 | 96,288 million USD | -5.6% |
| 2020 | 97,560 million USD | +1.3% |
| 2021 | 107,566 million USD | +10.3% |
| 2022 | 100,795 million USD | -6.3% |
| 2023 | 113,160 million USD | +12.3% |
| 2024 | 130,711 million USD | +15.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 35,597 million USD | 19,737 million USD | 57,027 million USD | 10 |
| 1980s | 59,601 million USD | 47,112 million USD | 76,190 million USD | 10 |
| 1990s | 83,400 million USD | 74,366 million USD | 92,017 million USD | 10 |
| 2000s | 89,986 million USD | 67,903 million USD | 112,468 million USD | 10 |
| 2010s | 97,852 million USD | 91,122 million USD | 104,806 million USD | 10 |
| 2020s | 109,958 million USD | 97,560 million USD | 130,711 million USD | 5 |
Countries ranked near Southern Europe
More environment data for Southern Europe
- Historical exposure to drought — Cropland soil moisture anomaly -0.1235 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -0.3167 Percentage change (2025)
- Standard Deviation 0.323 °C (2025)
- Temperature change 2.19 °C (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Other paper and paperboard, not elsewhere specified — Import value 0.7558 % change on previous year (2024)
- Total fibre furnish — Production, annual growth rate 2.54 % change on previous year (2024)
- Other paper and paperboard — Import value, annual growth rate 5.37 % change on previous year (2024)
- Graphic papers — Import quantity, annual growth rate 5.35 % change on previous year (2024)
- Graphic papers — Import value, annual growth rate -2.01 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in Southern Europe?
- Value added (agriculture, forestry and fishing) — value us$ in Southern Europe was 130,711 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 Southern Europe?
- The highest recorded value was 130,711 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Southern Europe?
- The lowest recorded value was 19,737 million USD in 1970.
- How does Southern Europe rank for value added (agriculture, forestry and fishing) — value us$?
- Southern Europe ranks 18th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Southern Europe?
- Over the last ten years it is up 29.3%. The long-run trend across the full record is rising.
- Where does this Southern 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.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).