Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sweden

Sweden: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 74,012 million SLC in 2024. ▲ Rising

Latest (2024)
74,012 million SLC
Change on year
up 20.0%
World rank
84th
of 199 countries
All-time high
74,012 million SLC
in 2024
All-time low
13,314 million SLC
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sweden, 1970–2024

20.0k40.0k60.0k80.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

In 2024, value added (agriculture, forestry and fishing) — value standard in Sweden stood at 74,012 million SLC. That is the highest value across all 55 years on record.

The figure is up 20.0% on the previous year and up 49.2% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Sweden peaked at 74,012 million SLC in 2024 and was at its lowest, 13,314 million SLC, in 1970.

That places Sweden 84th out of 199 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 Sweden, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Sweden, 1970 to 2024.
Year million SLC Change
1970 13,314 million SLC
1971 15,334 million SLC +15.2%
1972 14,596 million SLC -4.8%
1973 15,453 million SLC +5.9%
1974 21,886 million SLC +41.6%
1975 24,458 million SLC +11.7%
1976 27,803 million SLC +13.7%
1977 27,425 million SLC -1.4%
1978 27,628 million SLC +0.7%
1979 27,617 million SLC -0.0%
1980 28,887 million SLC +4.6%
1981 31,989 million SLC +10.7%
1982 36,083 million SLC +12.8%
1983 39,897 million SLC +10.6%
1984 44,678 million SLC +12.0%
1985 48,142 million SLC +7.8%
1986 50,660 million SLC +5.2%
1987 52,001 million SLC +2.6%
1988 54,307 million SLC +4.4%
1989 59,107 million SLC +8.8%
1990 59,531 million SLC +0.7%
1991 53,578 million SLC -10.0%
1992 50,824 million SLC -5.1%
1993 44,415 million SLC -12.6%
1994 47,284 million SLC +6.5%
1995 50,605 million SLC +7.0%
1996 45,801 million SLC -9.5%
1997 46,414 million SLC +1.3%
1998 45,727 million SLC -1.5%
1999 44,192 million SLC -3.4%
2000 42,992 million SLC -2.7%
2001 44,880 million SLC +4.4%
2002 45,612 million SLC +1.6%
2003 46,236 million SLC +1.4%
2004 47,494 million SLC +2.7%
2005 33,964 million SLC -28.5%
2006 38,669 million SLC +13.9%
2007 47,657 million SLC +23.2%
2008 42,724 million SLC -10.4%
2009 37,873 million SLC -11.4%
2010 48,359 million SLC +27.7%
2011 52,301 million SLC +8.2%
2012 46,652 million SLC -10.8%
2013 46,825 million SLC +0.4%
2014 49,609 million SLC +5.9%
2015 55,135 million SLC +11.1%
2016 56,109 million SLC +1.8%
2017 60,277 million SLC +7.4%
2018 61,305 million SLC +1.7%
2019 64,979 million SLC +6.0%
2020 60,235 million SLC -7.3%
2021 60,929 million SLC +1.2%
2022 61,010 million SLC +0.1%
2023 61,674 million SLC +1.1%
2024 74,012 million SLC +20.0%

Averages by decade

DecadeAverage LowestHighest Years
1970s 21,551 million SLC 13,314 million SLC 27,803 million SLC 10
1980s 44,575 million SLC 28,887 million SLC 59,107 million SLC 10
1990s 48,837 million SLC 44,192 million SLC 59,531 million SLC 10
2000s 42,810 million SLC 33,964 million SLC 47,657 million SLC 10
2010s 54,155 million SLC 46,652 million SLC 64,979 million SLC 10
2020s 63,572 million SLC 60,235 million SLC 74,012 million SLC 5

Countries ranked near Sweden

  1. 81 Poland 93,785 million SLC compare
  2. 82 Guatemala 86,701 million SLC compare
  3. 83 Mauritania 79,445 million SLC compare
  4. 85 Czechoslovakia 69,890 million SLC compare
  5. 86 Peru 65,409 million SLC compare
  6. 87 Romania 57,674 million SLC compare

See the full ranking of 215 places →

More environment data for Sweden

All data for Sweden →

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 74,012 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 74,012 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Sweden?
The lowest recorded value was 13,314 million SLC in 1970.
How does Sweden rank for value added (agriculture, forestry and fishing) — value standard?
Sweden ranks 84th out of 199 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 up 49.2%. 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. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sweden. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/sweden/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
215 places, 10,919 data points, 1970–2024
Last refreshed

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).