Value Added (Agriculture, Forestry and Fishing) — Value Standard in France
France: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 27,643 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in France, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in France is 27,643 million SLC, measured in 2024.
The figure is down 11.9% on the previous year and down 16.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in France peaked at 33,140 million SLC in 2014 and was at its lowest, 14,150 million SLC, in 1971.
France ranks 91st of 191 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 Standard in France, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 14,188 million SLC | — |
| 1971 | 14,150 million SLC | -0.3% |
| 1972 | 15,224 million SLC | +7.6% |
| 1973 | 16,312 million SLC | +7.1% |
| 1974 | 15,634 million SLC | -4.2% |
| 1975 | 14,680 million SLC | -6.1% |
| 1976 | 14,260 million SLC | -2.9% |
| 1977 | 14,583 million SLC | +2.3% |
| 1978 | 16,718 million SLC | +14.6% |
| 1979 | 18,188 million SLC | +8.8% |
| 1980 | 17,904 million SLC | -1.6% |
| 1981 | 17,714 million SLC | -1.1% |
| 1982 | 20,709 million SLC | +16.9% |
| 1983 | 19,318 million SLC | -6.7% |
| 1984 | 20,278 million SLC | +5.0% |
| 1985 | 21,470 million SLC | +5.9% |
| 1986 | 21,502 million SLC | +0.2% |
| 1987 | 22,190 million SLC | +3.2% |
| 1988 | 21,841 million SLC | -1.6% |
| 1989 | 22,733 million SLC | +4.1% |
| 1990 | 24,301 million SLC | +6.9% |
| 1991 | 22,026 million SLC | -9.4% |
| 1992 | 25,301 million SLC | +14.9% |
| 1993 | 23,801 million SLC | -5.9% |
| 1994 | 23,937 million SLC | +0.6% |
| 1995 | 25,018 million SLC | +4.5% |
| 1996 | 26,715 million SLC | +6.8% |
| 1997 | 26,741 million SLC | +0.1% |
| 1998 | 27,579 million SLC | +3.1% |
| 1999 | 28,998 million SLC | +5.1% |
| 2000 | 28,882 million SLC | -0.4% |
| 2001 | 28,147 million SLC | -2.5% |
| 2002 | 29,650 million SLC | +5.3% |
| 2003 | 25,084 million SLC | -15.4% |
| 2004 | 30,453 million SLC | +21.4% |
| 2005 | 28,721 million SLC | -5.7% |
| 2006 | 28,887 million SLC | +0.6% |
| 2007 | 28,668 million SLC | -0.8% |
| 2008 | 29,856 million SLC | +4.1% |
| 2009 | 31,708 million SLC | +6.2% |
| 2010 | 30,778 million SLC | -2.9% |
| 2011 | 32,137 million SLC | +4.4% |
| 2012 | 29,366 million SLC | -8.6% |
| 2013 | 28,837 million SLC | -1.8% |
| 2014 | 33,140 million SLC | +14.9% |
| 2015 | 33,100 million SLC | -0.1% |
| 2016 | 28,833 million SLC | -12.9% |
| 2017 | 31,127 million SLC | +8.0% |
| 2018 | 32,292 million SLC | +3.7% |
| 2019 | 31,528 million SLC | -2.4% |
| 2020 | 29,317 million SLC | -7.0% |
| 2021 | 27,909 million SLC | -4.8% |
| 2022 | 29,928 million SLC | +7.2% |
| 2023 | 31,383 million SLC | +4.9% |
| 2024 | 27,643 million SLC | -11.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 15,394 million SLC | 14,150 million SLC | 18,188 million SLC | 10 |
| 1980s | 20,566 million SLC | 17,714 million SLC | 22,733 million SLC | 10 |
| 1990s | 25,442 million SLC | 22,026 million SLC | 28,998 million SLC | 10 |
| 2000s | 29,006 million SLC | 25,084 million SLC | 31,708 million SLC | 10 |
| 2010s | 31,114 million SLC | 28,833 million SLC | 33,140 million SLC | 10 |
| 2020s | 29,236 million SLC | 27,643 million SLC | 31,383 million SLC | 5 |
Countries ranked near France
More environment data for France
- Historical exposure to drought — Land soil moisture anomaly -2.44 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -3.44 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.427 °C (2025)
- Temperature change 2.31 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.023 m3 per person (2024)
- Sawnwood — Export value, annual growth rate 3.41 % change on previous year (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0079 1000 USD per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in France?
- Value added (agriculture, forestry and fishing) — value standard in France was 27,643 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in France?
- The highest recorded value was 33,140 million SLC in 2014.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in France?
- The lowest recorded value was 14,150 million SLC in 1971.
- How does France rank for value added (agriculture, forestry and fishing) — value standard?
- France ranks 91st out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in France?
- Over the last ten years it is down 16.6%. The long-run trend across the full record is rising.
- Where does this France 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 Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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).