Value Added (Agriculture, Forestry and Fishing) — Value Standard in Germany
Germany: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 26,314 million SLC in 2024. ▼ Falling
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Germany, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Germany recorded 26,314 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
That represents a change of down 0.1% on the previous year and up 5.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Germany peaked at 32,213 million SLC in 1990 and was at its lowest, 20,563 million SLC, in 1994.
Germany ranks 92nd of 191 countries on this measure, 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 Germany, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 23,898 million SLC | — |
| 1971 | 24,297 million SLC | +1.7% |
| 1972 | 24,056 million SLC | -1.0% |
| 1973 | 25,284 million SLC | +5.1% |
| 1974 | 26,362 million SLC | +4.3% |
| 1975 | 25,932 million SLC | -1.6% |
| 1976 | 25,347 million SLC | -2.3% |
| 1977 | 26,571 million SLC | +4.8% |
| 1978 | 27,301 million SLC | +2.7% |
| 1979 | 26,561 million SLC | -2.7% |
| 1980 | 26,947 million SLC | +1.5% |
| 1981 | 26,928 million SLC | -0.1% |
| 1982 | 30,686 million SLC | +14.0% |
| 1983 | 28,785 million SLC | -6.2% |
| 1984 | 30,341 million SLC | +5.4% |
| 1985 | 28,506 million SLC | -6.0% |
| 1986 | 31,274 million SLC | +9.7% |
| 1987 | 28,968 million SLC | -7.4% |
| 1988 | 30,755 million SLC | +6.2% |
| 1989 | 31,729 million SLC | +3.2% |
| 1990 | 32,213 million SLC | +1.5% |
| 1991 | 31,628 million SLC | -1.8% |
| 1992 | 30,824 million SLC | -2.5% |
| 1993 | 27,830 million SLC | -9.7% |
| 1994 | 20,563 million SLC | -26.1% |
| 1995 | 21,022 million SLC | +2.2% |
| 1996 | 22,161 million SLC | +5.4% |
| 1997 | 22,338 million SLC | +0.8% |
| 1998 | 22,275 million SLC | -0.3% |
| 1999 | 24,379 million SLC | +9.4% |
| 2000 | 24,054 million SLC | -1.3% |
| 2001 | 22,494 million SLC | -6.5% |
| 2002 | 22,658 million SLC | +0.7% |
| 2003 | 23,040 million SLC | +1.7% |
| 2004 | 28,342 million SLC | +23.0% |
| 2005 | 20,970 million SLC | -26.0% |
| 2006 | 20,681 million SLC | -1.4% |
| 2007 | 20,616 million SLC | -0.3% |
| 2008 | 23,246 million SLC | +12.8% |
| 2009 | 22,449 million SLC | -3.4% |
| 2010 | 22,132 million SLC | -1.4% |
| 2011 | 22,978 million SLC | +3.8% |
| 2012 | 23,013 million SLC | +0.2% |
| 2013 | 22,396 million SLC | -2.7% |
| 2014 | 25,046 million SLC | +11.8% |
| 2015 | 21,872 million SLC | -12.7% |
| 2016 | 22,707 million SLC | +3.8% |
| 2017 | 23,721 million SLC | +4.5% |
| 2018 | 20,570 million SLC | -13.3% |
| 2019 | 22,420 million SLC | +9.0% |
| 2020 | 22,380 million SLC | -0.2% |
| 2021 | 25,486 million SLC | +13.9% |
| 2022 | 26,160 million SLC | +2.6% |
| 2023 | 26,328 million SLC | +0.6% |
| 2024 | 26,314 million SLC | -0.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 25,561 million SLC | 23,898 million SLC | 27,301 million SLC | 10 |
| 1980s | 29,492 million SLC | 26,928 million SLC | 31,729 million SLC | 10 |
| 1990s | 25,523 million SLC | 20,563 million SLC | 32,213 million SLC | 10 |
| 2000s | 22,855 million SLC | 20,616 million SLC | 28,342 million SLC | 10 |
| 2010s | 22,685 million SLC | 20,570 million SLC | 25,046 million SLC | 10 |
| 2020s | 25,334 million SLC | 22,380 million SLC | 26,328 million SLC | 5 |
Countries ranked near Germany
More environment data for Germany
- Historical exposure to drought — Land soil moisture anomaly -4.12 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.36 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.613 °C (2025)
- Temperature change 2.11 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate 6.59 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.1063 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -3.63 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Germany?
- Value added (agriculture, forestry and fishing) — value standard in Germany was 26,314 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 Germany?
- The highest recorded value was 32,213 million SLC in 1990.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Germany?
- The lowest recorded value was 20,563 million SLC in 1994.
- How does Germany rank for value added (agriculture, forestry and fishing) — value standard?
- Germany ranks 92nd out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Germany?
- Over the last ten years it is up 5.1%. The long-run trend across the full record is falling.
- Where does this Germany 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
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).