Value Added (Agriculture, Forestry and Fishing) — Value Standard in Switzerland
Switzerland: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4,222 million SLC in 2024. ▼ Falling
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Switzerland, 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 Switzerland is 4,222 million SLC, measured in 2024.
The figure is down 1.3% on the previous year and down 8.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Switzerland peaked at 5,826 million SLC in 1980 and was at its lowest, 3,595 million SLC, in 2003.
That places Switzerland 121st out of 191 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently falling across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Switzerland, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 4,918 million SLC | — |
| 1971 | 5,120 million SLC | +4.1% |
| 1972 | 5,284 million SLC | +3.2% |
| 1973 | 5,439 million SLC | +2.9% |
| 1974 | 5,532 million SLC | +1.7% |
| 1975 | 5,120 million SLC | -7.4% |
| 1976 | 5,029 million SLC | -1.8% |
| 1977 | 5,217 million SLC | +3.7% |
| 1978 | 5,165 million SLC | -1.0% |
| 1979 | 5,242 million SLC | +1.5% |
| 1980 | 5,826 million SLC | +11.1% |
| 1981 | 5,388 million SLC | -7.5% |
| 1982 | 5,337 million SLC | -0.9% |
| 1983 | 5,072 million SLC | -5.0% |
| 1984 | 5,217 million SLC | +2.9% |
| 1985 | 5,047 million SLC | -3.3% |
| 1986 | 4,830 million SLC | -4.3% |
| 1987 | 4,569 million SLC | -5.4% |
| 1988 | 4,462 million SLC | -2.3% |
| 1989 | 4,803 million SLC | +7.6% |
| 1990 | 4,782 million SLC | -0.4% |
| 1991 | 4,656 million SLC | -2.6% |
| 1992 | 4,657 million SLC | +0.0% |
| 1993 | 4,408 million SLC | -5.3% |
| 1994 | 4,130 million SLC | -6.3% |
| 1995 | 4,218 million SLC | +2.1% |
| 1996 | 4,195 million SLC | -0.5% |
| 1997 | 4,203 million SLC | +0.2% |
| 1998 | 4,255 million SLC | +1.2% |
| 1999 | 4,358 million SLC | +2.4% |
| 2000 | 4,437 million SLC | +1.8% |
| 2001 | 4,104 million SLC | -7.5% |
| 2002 | 4,217 million SLC | +2.8% |
| 2003 | 3,595 million SLC | -14.8% |
| 2004 | 4,225 million SLC | +17.5% |
| 2005 | 4,073 million SLC | -3.6% |
| 2006 | 3,900 million SLC | -4.2% |
| 2007 | 4,151 million SLC | +6.4% |
| 2008 | 4,147 million SLC | -0.1% |
| 2009 | 4,346 million SLC | +4.8% |
| 2010 | 4,198 million SLC | -3.4% |
| 2011 | 4,627 million SLC | +10.2% |
| 2012 | 4,457 million SLC | -3.7% |
| 2013 | 4,164 million SLC | -6.6% |
| 2014 | 4,621 million SLC | +11.0% |
| 2015 | 4,185 million SLC | -9.4% |
| 2016 | 4,224 million SLC | +0.9% |
| 2017 | 4,092 million SLC | -3.1% |
| 2018 | 4,441 million SLC | +8.5% |
| 2019 | 4,271 million SLC | -3.8% |
| 2020 | 4,226 million SLC | -1.1% |
| 2021 | 3,926 million SLC | -7.1% |
| 2022 | 4,360 million SLC | +11.1% |
| 2023 | 4,278 million SLC | -1.9% |
| 2024 | 4,222 million SLC | -1.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 5,207 million SLC | 4,918 million SLC | 5,532 million SLC | 10 |
| 1980s | 5,055 million SLC | 4,462 million SLC | 5,826 million SLC | 10 |
| 1990s | 4,386 million SLC | 4,130 million SLC | 4,782 million SLC | 10 |
| 2000s | 4,119 million SLC | 3,595 million SLC | 4,437 million SLC | 10 |
| 2010s | 4,328 million SLC | 4,092 million SLC | 4,627 million SLC | 10 |
| 2020s | 4,202 million SLC | 3,926 million SLC | 4,360 million SLC | 5 |
Countries ranked near Switzerland
More environment data for Switzerland
- Historical exposure to drought — Land soil moisture anomaly -0.2925 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.4333 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.458 °C (2025)
- Temperature change 2.33 °C (2025)
- Sawnwood — Production, annual growth rate 0.3715 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.1338 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate -2.98 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Switzerland?
- Value added (agriculture, forestry and fishing) — value standard in Switzerland was 4,222 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 Switzerland?
- The highest recorded value was 5,826 million SLC in 1980.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Switzerland?
- The lowest recorded value was 3,595 million SLC in 2003.
- How does Switzerland rank for value added (agriculture, forestry and fishing) — value standard?
- Switzerland ranks 121st out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Switzerland?
- Over the last ten years it is down 8.6%. The long-run trend across the full record is falling.
- Where does this Switzerland 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).