Value Added (Agriculture, Forestry and Fishing) — Value Standard in Finland
Finland: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4,819 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Finland, 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 Finland is 4,819 million SLC, measured in 2024.
Compared with earlier readings it is up 5.1% on the previous year and up 14.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Finland peaked at 4,990 million SLC in 2022 and was at its lowest, 3,085 million SLC, in 1987.
Finland ranks 116th 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 Finland, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 3,542 million SLC | — |
| 1971 | 3,508 million SLC | -1.0% |
| 1972 | 3,415 million SLC | -2.7% |
| 1973 | 3,377 million SLC | -1.1% |
| 1974 | 3,235 million SLC | -4.2% |
| 1975 | 3,128 million SLC | -3.3% |
| 1976 | 3,256 million SLC | +4.1% |
| 1977 | 3,184 million SLC | -2.2% |
| 1978 | 3,330 million SLC | +4.6% |
| 1979 | 3,641 million SLC | +9.3% |
| 1980 | 3,940 million SLC | +8.2% |
| 1981 | 3,498 million SLC | -11.2% |
| 1982 | 3,606 million SLC | +3.1% |
| 1983 | 3,849 million SLC | +6.7% |
| 1984 | 4,003 million SLC | +4.0% |
| 1985 | 3,897 million SLC | -2.6% |
| 1986 | 3,704 million SLC | -5.0% |
| 1987 | 3,085 million SLC | -16.7% |
| 1988 | 3,448 million SLC | +11.8% |
| 1989 | 3,451 million SLC | +0.1% |
| 1990 | 3,787 million SLC | +9.7% |
| 1991 | 3,623 million SLC | -4.3% |
| 1992 | 3,488 million SLC | -3.7% |
| 1993 | 3,782 million SLC | +8.4% |
| 1994 | 3,829 million SLC | +1.2% |
| 1995 | 3,767 million SLC | -1.6% |
| 1996 | 3,574 million SLC | -5.1% |
| 1997 | 3,841 million SLC | +7.5% |
| 1998 | 3,454 million SLC | -10.1% |
| 1999 | 3,461 million SLC | +0.2% |
| 2000 | 3,754 million SLC | +8.5% |
| 2001 | 3,682 million SLC | -1.9% |
| 2002 | 3,679 million SLC | -0.1% |
| 2003 | 3,555 million SLC | -3.4% |
| 2004 | 3,525 million SLC | -0.8% |
| 2005 | 3,684 million SLC | +4.5% |
| 2006 | 3,760 million SLC | +2.1% |
| 2007 | 4,019 million SLC | +6.9% |
| 2008 | 4,025 million SLC | +0.1% |
| 2009 | 4,313 million SLC | +7.2% |
| 2010 | 4,246 million SLC | -1.6% |
| 2011 | 4,184 million SLC | -1.5% |
| 2012 | 3,970 million SLC | -5.1% |
| 2013 | 3,981 million SLC | +0.3% |
| 2014 | 4,207 million SLC | +5.7% |
| 2015 | 4,331 million SLC | +2.9% |
| 2016 | 4,333 million SLC | +0.0% |
| 2017 | 4,377 million SLC | +1.0% |
| 2018 | 4,315 million SLC | -1.4% |
| 2019 | 4,812 million SLC | +11.5% |
| 2020 | 4,780 million SLC | -0.7% |
| 2021 | 4,727 million SLC | -1.1% |
| 2022 | 4,990 million SLC | +5.6% |
| 2023 | 4,586 million SLC | -8.1% |
| 2024 | 4,819 million SLC | +5.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 3,362 million SLC | 3,128 million SLC | 3,641 million SLC | 10 |
| 1980s | 3,648 million SLC | 3,085 million SLC | 4,003 million SLC | 10 |
| 1990s | 3,661 million SLC | 3,454 million SLC | 3,841 million SLC | 10 |
| 2000s | 3,800 million SLC | 3,525 million SLC | 4,313 million SLC | 10 |
| 2010s | 4,276 million SLC | 3,970 million SLC | 4,812 million SLC | 10 |
| 2020s | 4,780 million SLC | 4,586 million SLC | 4,990 million SLC | 5 |
Countries ranked near Finland
More environment data for Finland
- Historical exposure to drought — Land soil moisture anomaly 3.9 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 4.25 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.986 °C (2025)
- Temperature change 2.94 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 1.45 m3 per person (2024)
- Sawnwood — Export value, annual growth rate 5.74 % 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 0.3769 1000 USD per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Finland?
- Value added (agriculture, forestry and fishing) — value standard in Finland was 4,819 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 Finland?
- The highest recorded value was 4,990 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Finland?
- The lowest recorded value was 3,085 million SLC in 1987.
- How does Finland rank for value added (agriculture, forestry and fishing) — value standard?
- Finland ranks 116th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Finland?
- Over the last ten years it is up 14.5%. The long-run trend across the full record is rising.
- Where does this Finland 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
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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).