Value Added (Agriculture, Forestry and Fishing) — Value Standard in Austria
Austria: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4,525 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Austria, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Austria recorded 4,525 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
The figure is up 2.4% on the previous year and up 10.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Austria peaked at 4,540 million SLC in 2022 and was at its lowest, 2,503 million SLC, in 1971.
That places Austria 120th out of 191 countries with data for 2024, putting it 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 Austria, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 2,709 million SLC | — |
| 1971 | 2,503 million SLC | -7.6% |
| 1972 | 2,521 million SLC | +0.7% |
| 1973 | 2,681 million SLC | +6.4% |
| 1974 | 2,790 million SLC | +4.1% |
| 1975 | 2,924 million SLC | +4.8% |
| 1976 | 3,027 million SLC | +3.5% |
| 1977 | 2,960 million SLC | -2.2% |
| 1978 | 3,000 million SLC | +1.4% |
| 1979 | 3,096 million SLC | +3.2% |
| 1980 | 3,026 million SLC | -2.3% |
| 1981 | 2,911 million SLC | -3.8% |
| 1982 | 3,108 million SLC | +6.8% |
| 1983 | 3,001 million SLC | -3.5% |
| 1984 | 3,008 million SLC | +0.3% |
| 1985 | 2,907 million SLC | -3.3% |
| 1986 | 2,967 million SLC | +2.1% |
| 1987 | 2,936 million SLC | -1.0% |
| 1988 | 3,026 million SLC | +3.1% |
| 1989 | 3,011 million SLC | -0.5% |
| 1990 | 3,240 million SLC | +7.6% |
| 1991 | 3,143 million SLC | -3.0% |
| 1992 | 3,078 million SLC | -2.1% |
| 1993 | 3,022 million SLC | -1.8% |
| 1994 | 3,258 million SLC | +7.8% |
| 1995 | 3,350 million SLC | +2.8% |
| 1996 | 3,295 million SLC | -1.6% |
| 1997 | 3,417 million SLC | +3.7% |
| 1998 | 3,561 million SLC | +4.2% |
| 1999 | 3,775 million SLC | +6.0% |
| 2000 | 3,567 million SLC | -5.5% |
| 2001 | 3,593 million SLC | +0.7% |
| 2002 | 3,530 million SLC | -1.8% |
| 2003 | 3,381 million SLC | -4.2% |
| 2004 | 3,723 million SLC | +10.1% |
| 2005 | 3,671 million SLC | -1.4% |
| 2006 | 3,614 million SLC | -1.5% |
| 2007 | 4,014 million SLC | +11.1% |
| 2008 | 4,314 million SLC | +7.5% |
| 2009 | 4,011 million SLC | -7.0% |
| 2010 | 3,770 million SLC | -6.0% |
| 2011 | 4,349 million SLC | +15.3% |
| 2012 | 4,062 million SLC | -6.6% |
| 2013 | 3,782 million SLC | -6.9% |
| 2014 | 4,084 million SLC | +8.0% |
| 2015 | 3,912 million SLC | -4.2% |
| 2016 | 4,116 million SLC | +5.2% |
| 2017 | 4,074 million SLC | -1.0% |
| 2018 | 4,190 million SLC | +2.8% |
| 2019 | 4,129 million SLC | -1.4% |
| 2020 | 4,002 million SLC | -3.1% |
| 2021 | 4,253 million SLC | +6.3% |
| 2022 | 4,540 million SLC | +6.8% |
| 2023 | 4,417 million SLC | -2.7% |
| 2024 | 4,525 million SLC | +2.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 2,821 million SLC | 2,503 million SLC | 3,096 million SLC | 10 |
| 1980s | 2,990 million SLC | 2,907 million SLC | 3,108 million SLC | 10 |
| 1990s | 3,314 million SLC | 3,022 million SLC | 3,775 million SLC | 10 |
| 2000s | 3,742 million SLC | 3,381 million SLC | 4,314 million SLC | 10 |
| 2010s | 4,047 million SLC | 3,770 million SLC | 4,349 million SLC | 10 |
| 2020s | 4,348 million SLC | 4,002 million SLC | 4,540 million SLC | 5 |
Countries ranked near Austria
More environment data for Austria
- Historical exposure to drought — Land soil moisture anomaly -1.98 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -3.4 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.529 °C (2025)
- Temperature change 2.17 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate 1.88 % 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 0.1226 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -4.91 % 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 Austria?
- Value added (agriculture, forestry and fishing) — value standard in Austria was 4,525 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 Austria?
- The highest recorded value was 4,540 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Austria?
- The lowest recorded value was 2,503 million SLC in 1971.
- How does Austria rank for value added (agriculture, forestry and fishing) — value standard?
- Austria ranks 120th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Austria?
- Over the last ten years it is up 10.8%. The long-run trend across the full record is rising.
- Where does this Austria 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).