Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sweden
Sweden: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 43,608 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sweden, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Sweden recorded 43,608 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
Compared with earlier readings it is down 3.2% on the previous year and down 18.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Sweden peaked at 56,835 million SLC in 2017 and was at its lowest, 34,718 million SLC, in 1980.
Sweden ranks 84th 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 Sweden, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 38,166 million SLC | — |
| 1971 | 40,578 million SLC | +6.3% |
| 1972 | 39,051 million SLC | -3.8% |
| 1973 | 39,580 million SLC | +1.4% |
| 1974 | 41,376 million SLC | +4.5% |
| 1975 | 37,581 million SLC | -9.2% |
| 1976 | 37,598 million SLC | +0.0% |
| 1977 | 35,099 million SLC | -6.6% |
| 1978 | 35,712 million SLC | +1.7% |
| 1979 | 35,559 million SLC | -0.4% |
| 1980 | 34,718 million SLC | -2.4% |
| 1981 | 34,988 million SLC | +0.8% |
| 1982 | 37,808 million SLC | +8.1% |
| 1983 | 39,552 million SLC | +4.6% |
| 1984 | 40,743 million SLC | +3.0% |
| 1985 | 41,236 million SLC | +1.2% |
| 1986 | 41,123 million SLC | -0.3% |
| 1987 | 38,662 million SLC | -6.0% |
| 1988 | 38,241 million SLC | -1.1% |
| 1989 | 42,507 million SLC | +11.2% |
| 1990 | 44,803 million SLC | +5.4% |
| 1991 | 41,808 million SLC | -6.7% |
| 1992 | 40,798 million SLC | -2.4% |
| 1993 | 41,432 million SLC | +1.6% |
| 1994 | 39,006 million SLC | -5.9% |
| 1995 | 38,646 million SLC | -0.9% |
| 1996 | 37,914 million SLC | -1.9% |
| 1997 | 38,956 million SLC | +2.7% |
| 1998 | 36,280 million SLC | -6.9% |
| 1999 | 36,900 million SLC | +1.7% |
| 2000 | 38,451 million SLC | +4.2% |
| 2001 | 40,000 million SLC | +4.0% |
| 2002 | 41,231 million SLC | +3.1% |
| 2003 | 41,164 million SLC | -0.2% |
| 2004 | 45,421 million SLC | +10.3% |
| 2005 | 45,242 million SLC | -0.4% |
| 2006 | 46,617 million SLC | +3.0% |
| 2007 | 48,453 million SLC | +3.9% |
| 2008 | 40,948 million SLC | -15.5% |
| 2009 | 42,778 million SLC | +4.5% |
| 2010 | 42,952 million SLC | +0.4% |
| 2011 | 44,998 million SLC | +4.8% |
| 2012 | 45,476 million SLC | +1.1% |
| 2013 | 48,452 million SLC | +6.5% |
| 2014 | 53,324 million SLC | +10.1% |
| 2015 | 55,135 million SLC | +3.4% |
| 2016 | 54,795 million SLC | -0.6% |
| 2017 | 56,835 million SLC | +3.7% |
| 2018 | 51,637 million SLC | -9.1% |
| 2019 | 55,831 million SLC | +8.1% |
| 2020 | 53,086 million SLC | -4.9% |
| 2021 | 51,203 million SLC | -3.5% |
| 2022 | 50,335 million SLC | -1.7% |
| 2023 | 45,047 million SLC | -10.5% |
| 2024 | 43,608 million SLC | -3.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 38,030 million SLC | 35,099 million SLC | 41,376 million SLC | 10 |
| 1980s | 38,958 million SLC | 34,718 million SLC | 42,507 million SLC | 10 |
| 1990s | 39,654 million SLC | 36,280 million SLC | 44,803 million SLC | 10 |
| 2000s | 43,031 million SLC | 38,451 million SLC | 48,453 million SLC | 10 |
| 2010s | 50,943 million SLC | 42,952 million SLC | 56,835 million SLC | 10 |
| 2020s | 48,656 million SLC | 43,608 million SLC | 53,086 million SLC | 5 |
Countries ranked near Sweden
More environment data for Sweden
- Historical exposure to drought — Land soil moisture anomaly 1.1 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2.12 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.852 °C (2025)
- Temperature change 2.72 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 1.29 m3 per person (2024)
- Sawnwood — Export value, annual growth rate 6.56 % 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 0.3647 1000 USD per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Sweden?
- Value added (agriculture, forestry and fishing) — value standard in Sweden was 43,608 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 Sweden?
- The highest recorded value was 56,835 million SLC in 2017.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Sweden?
- The lowest recorded value was 34,718 million SLC in 1980.
- How does Sweden rank for value added (agriculture, forestry and fishing) — value standard?
- Sweden ranks 84th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Sweden?
- Over the last ten years it is down 18.2%. The long-run trend across the full record is rising.
- Where does this Sweden 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).