Value Added (Agriculture, Forestry and Fishing) — Value Standard in Germany
Germany: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 35,574 million SLC in 2024. ▲ Rising
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
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Germany is 35,574 million SLC, measured in 2024.
The figure is up 0.9% on the previous year and up 30.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Germany peaked at 39,695 million SLC in 2022 and was at its lowest, 11,817 million SLC, in 1970.
Germany ranks 98th of 199 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 Germany, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 11,817 million SLC | — |
| 1971 | 12,278 million SLC | +3.9% |
| 1972 | 13,331 million SLC | +8.6% |
| 1973 | 14,165 million SLC | +6.3% |
| 1974 | 14,078 million SLC | -0.6% |
| 1975 | 15,548 million SLC | +10.4% |
| 1976 | 17,018 million SLC | +9.5% |
| 1977 | 17,567 million SLC | +3.2% |
| 1978 | 17,841 million SLC | +1.6% |
| 1979 | 17,325 million SLC | -2.9% |
| 1980 | 16,996 million SLC | -1.9% |
| 1981 | 17,698 million SLC | +4.1% |
| 1982 | 19,498 million SLC | +10.2% |
| 1983 | 17,676 million SLC | -9.3% |
| 1984 | 18,324 million SLC | +3.7% |
| 1985 | 17,073 million SLC | -6.8% |
| 1986 | 18,006 million SLC | +5.5% |
| 1987 | 16,360 million SLC | -9.1% |
| 1988 | 17,984 million SLC | +9.9% |
| 1989 | 20,189 million SLC | +12.3% |
| 1990 | 17,556 million SLC | -13.0% |
| 1991 | 17,468 million SLC | -0.5% |
| 1992 | 17,113 million SLC | -2.0% |
| 1993 | 16,836 million SLC | -1.6% |
| 1994 | 17,848 million SLC | +6.0% |
| 1995 | 19,612 million SLC | +9.9% |
| 1996 | 20,581 million SLC | +4.9% |
| 1997 | 20,382 million SLC | -1.0% |
| 1998 | 19,767 million SLC | -3.0% |
| 1999 | 19,960 million SLC | +1.0% |
| 2000 | 21,215 million SLC | +6.3% |
| 2001 | 23,785 million SLC | +12.1% |
| 2002 | 20,040 million SLC | -15.7% |
| 2003 | 18,584 million SLC | -7.3% |
| 2004 | 21,758 million SLC | +17.1% |
| 2005 | 16,886 million SLC | -22.4% |
| 2006 | 17,386 million SLC | +3.0% |
| 2007 | 20,899 million SLC | +20.2% |
| 2008 | 21,673 million SLC | +3.7% |
| 2009 | 16,720 million SLC | -22.9% |
| 2010 | 20,294 million SLC | +21.4% |
| 2011 | 25,399 million SLC | +25.2% |
| 2012 | 25,513 million SLC | +0.4% |
| 2013 | 26,576 million SLC | +4.2% |
| 2014 | 27,326 million SLC | +2.8% |
| 2015 | 21,872 million SLC | -20.0% |
| 2016 | 23,342 million SLC | +6.7% |
| 2017 | 28,665 million SLC | +22.8% |
| 2018 | 25,496 million SLC | -11.1% |
| 2019 | 29,470 million SLC | +15.6% |
| 2020 | 25,144 million SLC | -14.7% |
| 2021 | 27,286 million SLC | +8.5% |
| 2022 | 39,695 million SLC | +45.5% |
| 2023 | 35,242 million SLC | -11.2% |
| 2024 | 35,574 million SLC | +0.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 15,097 million SLC | 11,817 million SLC | 17,841 million SLC | 10 |
| 1980s | 17,980 million SLC | 16,360 million SLC | 20,189 million SLC | 10 |
| 1990s | 18,712 million SLC | 16,836 million SLC | 20,581 million SLC | 10 |
| 2000s | 19,895 million SLC | 16,720 million SLC | 23,785 million SLC | 10 |
| 2010s | 25,395 million SLC | 20,294 million SLC | 29,470 million SLC | 10 |
| 2020s | 32,588 million SLC | 25,144 million SLC | 39,695 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)
- Other paper and paperboard, not elsewhere specified — Import 3.27 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0.0022 t per person (2024)
- Exposure to drought — Land soil moisture anomaly 1.58 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly 0.2544 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value -6.07 % change on previous year (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 35,574 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 39,695 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Germany?
- The lowest recorded value was 11,817 million SLC in 1970.
- How does Germany rank for value added (agriculture, forestry and fishing) — value standard?
- Germany ranks 98th out of 199 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 30.2%. The long-run trend across the full record is rising.
- 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. 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).