Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Finland

Finland: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 1,337 million SLC in 2023. ▲ Rising

Latest (2023)
1,337 million SLC
Change on year
down 8.5%
World rank
116th
of 181 countries
All-time high
1,720 million SLC
in 2007
All-time low
932 million SLC
in 1996
Years of data
29
1995–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Finland, 1995–2023

05001.0k1.5k1995200920231995: 967 million SLC1996: 932 million SLC1997: 1.2k million SLC1998: 1.3k million SLC1999: 1.3k million SLC2000: 1.3k million SLC2001: 1.4k million SLC2002: 1.5k million SLC2003: 1.4k million SLC2004: 1.4k million SLC2005: 1.5k million SLC2006: 1.5k million SLC2007: 1.7k million SLC2008: 1.7k million SLC2009: 1.6k million SLC2010: 1.5k million SLC2011: 1.6k million SLC2012: 1.6k million SLC2013: 1.7k million SLC2014: 1.7k million SLC2015: 1.4k million SLC2016: 1.4k million SLC2017: 1.5k million SLC2018: 1.6k million SLC2019: 1.7k million SLC2020: 1.6k million SLC2021: 1.6k million SLC2022: 1.5k million SLC2023: 1.3k million SLC

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

Analysis

In 2023, gross fixed capital formation (agriculture, forestry and fishing) in Finland stood at 1,337 million SLC.

The figure is down 8.5% on the previous year and down 22.1% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Finland peaked at 1,720 million SLC in 2007 and was at its lowest, 932 million SLC, in 1996.

That places Finland 116th out of 181 countries with data for 2023, putting it in the middle of the range.

The long-run direction has been consistently rising across the 29 years of available data.

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Finland, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Finland, 1995 to 2023.
Year million SLC Change
1995 967 million SLC
1996 932 million SLC -3.6%
1997 1,193 million SLC +28.0%
1998 1,265 million SLC +6.0%
1999 1,331 million SLC +5.2%
2000 1,312 million SLC -1.4%
2001 1,395 million SLC +6.3%
2002 1,463 million SLC +4.9%
2003 1,441 million SLC -1.5%
2004 1,374 million SLC -4.6%
2005 1,453 million SLC +5.7%
2006 1,497 million SLC +3.0%
2007 1,720 million SLC +14.9%
2008 1,680 million SLC -2.3%
2009 1,646 million SLC -2.0%
2010 1,534 million SLC -6.8%
2011 1,621 million SLC +5.7%
2012 1,628 million SLC +0.4%
2013 1,715 million SLC +5.3%
2014 1,675 million SLC -2.3%
2015 1,355 million SLC -19.1%
2016 1,375 million SLC +1.5%
2017 1,481 million SLC +7.7%
2018 1,584 million SLC +7.0%
2019 1,684 million SLC +6.3%
2020 1,649 million SLC -2.1%
2021 1,569 million SLC -4.9%
2022 1,461 million SLC -6.9%
2023 1,337 million SLC -8.5%

Averages by decade

DecadeAverage LowestHighest Years
1990s 1,138 million SLC 932 million SLC 1,331 million SLC 5
2000s 1,498 million SLC 1,312 million SLC 1,720 million SLC 10
2010s 1,565 million SLC 1,355 million SLC 1,715 million SLC 10
2020s 1,504 million SLC 1,337 million SLC 1,649 million SLC 4

Countries ranked near Finland

  1. 113 Sierra Leone 1,669 million SLC compare
  2. 114 United Arab Emirates 1,636 million SLC compare
  3. 115 Tunisia 1,361 million SLC compare
  4. 117 Portugal 1,269 million SLC compare
  5. 118 Lithuania 1,219 million SLC compare
  6. 119 Latvia 1,170 million SLC compare

See the full ranking of 194 places →

More environment data for Finland

All data for Finland →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Finland?
Gross fixed capital formation (agriculture, forestry and fishing) in Finland was 1,337 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Finland?
The highest recorded value was 1,720 million SLC in 2007.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Finland?
The lowest recorded value was 932 million SLC in 1996.
How does Finland rank for gross fixed capital formation (agriculture, forestry and fishing)?
Finland ranks 116th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Finland?
Over the last ten years it is down 22.1%. 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 Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Finland. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-standard-local/finland/

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About this data

Indicator
Gross Fixed Capital Formation (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
194 places, 5,531 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.