Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Sweden
Sweden: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 5,170 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Sweden, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Sweden stood at 5,170 million USD.
The figure 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 us$, 2015 in Sweden peaked at 6,738 million USD in 2017 and was at its lowest, 4,116 million USD, in 1980.
That places Sweden 69th out of 200 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Sweden, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 4,525 million USD | — |
| 1971 | 4,811 million USD | +6.3% |
| 1972 | 4,630 million USD | -3.8% |
| 1973 | 4,692 million USD | +1.4% |
| 1974 | 4,905 million USD | +4.5% |
| 1975 | 4,455 million USD | -9.2% |
| 1976 | 4,458 million USD | +0.0% |
| 1977 | 4,161 million USD | -6.6% |
| 1978 | 4,234 million USD | +1.7% |
| 1979 | 4,216 million USD | -0.4% |
| 1980 | 4,116 million USD | -2.4% |
| 1981 | 4,148 million USD | +0.8% |
| 1982 | 4,482 million USD | +8.1% |
| 1983 | 4,689 million USD | +4.6% |
| 1984 | 4,830 million USD | +3.0% |
| 1985 | 4,889 million USD | +1.2% |
| 1986 | 4,875 million USD | -0.3% |
| 1987 | 4,584 million USD | -6.0% |
| 1988 | 4,534 million USD | -1.1% |
| 1989 | 5,039 million USD | +11.2% |
| 1990 | 5,312 million USD | +5.4% |
| 1991 | 4,957 million USD | -6.7% |
| 1992 | 4,837 million USD | -2.4% |
| 1993 | 4,912 million USD | +1.6% |
| 1994 | 4,624 million USD | -5.9% |
| 1995 | 4,582 million USD | -0.9% |
| 1996 | 4,495 million USD | -1.9% |
| 1997 | 4,618 million USD | +2.7% |
| 1998 | 4,301 million USD | -6.9% |
| 1999 | 4,375 million USD | +1.7% |
| 2000 | 4,559 million USD | +4.2% |
| 2001 | 4,742 million USD | +4.0% |
| 2002 | 4,888 million USD | +3.1% |
| 2003 | 4,880 million USD | -0.2% |
| 2004 | 5,385 million USD | +10.3% |
| 2005 | 5,364 million USD | -0.4% |
| 2006 | 5,527 million USD | +3.0% |
| 2007 | 5,744 million USD | +3.9% |
| 2008 | 4,855 million USD | -15.5% |
| 2009 | 5,072 million USD | +4.5% |
| 2010 | 5,092 million USD | +0.4% |
| 2011 | 5,335 million USD | +4.8% |
| 2012 | 5,391 million USD | +1.1% |
| 2013 | 5,744 million USD | +6.5% |
| 2014 | 6,322 million USD | +10.1% |
| 2015 | 6,537 million USD | +3.4% |
| 2016 | 6,496 million USD | -0.6% |
| 2017 | 6,738 million USD | +3.7% |
| 2018 | 6,122 million USD | -9.1% |
| 2019 | 6,619 million USD | +8.1% |
| 2020 | 6,294 million USD | -4.9% |
| 2021 | 6,070 million USD | -3.5% |
| 2022 | 5,968 million USD | -1.7% |
| 2023 | 5,341 million USD | -10.5% |
| 2024 | 5,170 million USD | -3.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 4,509 million USD | 4,161 million USD | 4,905 million USD | 10 |
| 1980s | 4,619 million USD | 4,116 million USD | 5,039 million USD | 10 |
| 1990s | 4,701 million USD | 4,301 million USD | 5,312 million USD | 10 |
| 2000s | 5,102 million USD | 4,559 million USD | 5,744 million USD | 10 |
| 2010s | 6,040 million USD | 5,092 million USD | 6,738 million USD | 10 |
| 2020s | 5,768 million USD | 5,170 million USD | 6,294 million USD | 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)
- Other paper and paperboard, not elsewhere specified — Import -9.77 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0.0003 t per person (2024)
- Exposure to drought — Land soil moisture anomaly 1.3 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -2.47 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value 8.5 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Sweden?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Sweden was 5,170 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Sweden?
- The highest recorded value was 6,738 million USD in 2017.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Sweden?
- The lowest recorded value was 4,116 million USD in 1980.
- How does Sweden rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Sweden ranks 69th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 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 US$, 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).