Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Finland

Finland: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 1,552 million SLC in 2023. ▬ Flat

Latest (2023)
1,552 million SLC
Change on year
up 0.1%
World rank
104th
of 181 countries
All-time high
1,712 million SLC
in 2010
All-time low
1,551 million SLC
in 2022
Years of data
29
1995–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Finland, 1995–2023

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

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

Analysis

The most recent figure for consumption of fixed capital (agriculture, forestry and fishing) in Finland is 1,552 million SLC, measured in 2023.

The figure is up 0.1% on the previous year and down 8.3% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Finland peaked at 1,712 million SLC in 2010 and was at its lowest, 1,551 million SLC, in 2022.

Finland ranks 104th of 181 countries on this measure, in the middle of the range.

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Finland, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Finland, 1995 to 2023.
Year million SLC Change
1995 1,703 million SLC
1996 1,644 million SLC -3.4%
1997 1,646 million SLC +0.1%
1998 1,597 million SLC -2.9%
1999 1,584 million SLC -0.8%
2000 1,583 million SLC -0.1%
2001 1,562 million SLC -1.3%
2002 1,617 million SLC +3.5%
2003 1,654 million SLC +2.3%
2004 1,652 million SLC -0.1%
2005 1,654 million SLC +0.2%
2006 1,667 million SLC +0.8%
2007 1,697 million SLC +1.8%
2008 1,662 million SLC -2.1%
2009 1,698 million SLC +2.1%
2010 1,712 million SLC +0.8%
2011 1,710 million SLC -0.1%
2012 1,708 million SLC -0.1%
2013 1,694 million SLC -0.9%
2014 1,658 million SLC -2.1%
2015 1,642 million SLC -1.0%
2016 1,623 million SLC -1.2%
2017 1,588 million SLC -2.1%
2018 1,613 million SLC +1.5%
2019 1,610 million SLC -0.2%
2020 1,599 million SLC -0.7%
2021 1,568 million SLC -1.9%
2022 1,551 million SLC -1.1%
2023 1,552 million SLC +0.1%

Averages by decade

DecadeAverage LowestHighest Years
1990s 1,635 million SLC 1,584 million SLC 1,703 million SLC 5
2000s 1,645 million SLC 1,562 million SLC 1,698 million SLC 10
2010s 1,656 million SLC 1,588 million SLC 1,712 million SLC 10
2020s 1,568 million SLC 1,551 million SLC 1,599 million SLC 4

Countries ranked near Finland

  1. 101 Bhutan 1,975 million SLC compare
  2. 102 New Zealand 1,701 million SLC compare
  3. 103 Greece 1,585 million SLC compare
  4. 105 New Caledonia 1,524 million SLC compare
  5. 106 Belgium 1,291 million SLC compare
  6. 107 Zambia 1,281 million SLC compare

See the full ranking of 194 places →

More environment data for Finland

All data for Finland →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Finland?
Consumption of fixed capital (agriculture, forestry and fishing) in Finland was 1,552 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest consumption of fixed capital (agriculture, forestry and fishing) recorded in Finland?
The highest recorded value was 1,712 million SLC in 2010.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Finland?
The lowest recorded value was 1,551 million SLC in 2022.
How does Finland rank for consumption of fixed capital (agriculture, forestry and fishing)?
Finland ranks 104th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Finland?
Over the last ten years it is down 8.3%. The long-run trend across the full record is flat.
Where does this Finland data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Finland. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 08 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local-2/finland/

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About this data

Indicator
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,511 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.