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

Slovenia: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 52.17 % in 2023. ▲ Rising

Latest (2023)
52.17 %
Change on year
up 20.3%
World rank
9th
of 181 countries
All-time high
52.17 %
in 2023
All-time low
25.22 %
in 2000
Years of data
29
1995–2023

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

02040601995200920231995: 29.9 %1996: 28.5 %1997: 28.9 %1998: 26.9 %1999: 33.8 %2000: 25.2 %2001: 29.1 %2002: 28.3 %2003: 36.2 %2004: 29.3 %2005: 31.4 %2006: 34.9 %2007: 34.6 %2008: 42 %2009: 41.1 %2010: 29.3 %2011: 27.9 %2012: 32.2 %2013: 32.9 %2014: 33.1 %2015: 34.9 %2016: 38.7 %2017: 44.5 %2018: 41.1 %2019: 44.2 %2020: 36.8 %2021: 44.7 %2022: 43.4 %2023: 52.2 %

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

Analysis

The most recent figure for gross fixed capital formation (agriculture, forestry and fishing) in Slovenia is 52.17 %, measured in 2023. That is the highest value across all 29 years on record.

Compared with earlier readings it is up 20.3% on the previous year and up 58.7% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Slovenia peaked at 52.17 % in 2023 and was at its lowest, 25.22 %, in 2000.

That places Slovenia 9th out of 181 countries with data for 2023, putting it in the top 10%.

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

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

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Share of Value Added Standard Local Currency in Slovenia, 1995 to 2023.
Year % Change
1995 29.95 %
1996 28.47 % -4.9%
1997 28.94 % +1.6%
1998 26.89 % -7.1%
1999 33.83 % +25.8%
2000 25.22 % -25.5%
2001 29.05 % +15.2%
2002 28.3 % -2.6%
2003 36.24 % +28.0%
2004 29.25 % -19.3%
2005 31.37 % +7.2%
2006 34.9 % +11.3%
2007 34.58 % -0.9%
2008 42.04 % +21.6%
2009 41.06 % -2.3%
2010 29.35 % -28.5%
2011 27.88 % -5.0%
2012 32.17 % +15.4%
2013 32.87 % +2.2%
2014 33.05 % +0.6%
2015 34.93 % +5.7%
2016 38.68 % +10.7%
2017 44.55 % +15.2%
2018 41.09 % -7.8%
2019 44.22 % +7.6%
2020 36.81 % -16.8%
2021 44.71 % +21.5%
2022 43.35 % -3.0%
2023 52.17 % +20.3%

Averages by decade

DecadeAverage LowestHighest Years
1990s 29.62 % 26.89 % 33.83 % 5
2000s 33.2 % 25.22 % 42.04 % 10
2010s 35.88 % 27.88 % 44.55 % 10
2020s 44.26 % 36.81 % 52.17 % 4

Countries ranked near Slovenia

  1. 6 Micronesia (Federated States of) 8.54 % compare
  2. 6 United Kingdom of Great Britain and Northern Ireland 57.67 % compare
  3. 7 Austria 53.74 % compare
  4. 7 United Republic of Tanzania 8.01 % compare
  5. 8 Belarus 52.92 % compare
  6. 8 Timor-Leste 7.44 % compare
  7. 9 Democratic Republic of the Congo 5.84 % compare
  8. 10 Hungary 49.45 % compare
  9. 10 Syrian Arab Republic 3.78 % compare
  10. 11 Ireland 48.82 % compare
  11. 12 Singapore 48.53 % compare

See the full ranking of 194 places →

More environment data for Slovenia

All data for Slovenia →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Slovenia?
Gross fixed capital formation (agriculture, forestry and fishing) in Slovenia was 52.17 % 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 Slovenia?
The highest recorded value was 52.17 % in 2023.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Slovenia?
The lowest recorded value was 25.22 % in 2000.
How does Slovenia rank for gross fixed capital formation (agriculture, forestry and fishing)?
Slovenia ranks 9th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Slovenia?
Over the last ten years it is up 58.7%. The long-run trend across the full record is rising.
Where does this Slovenia 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) — Share of Value Added Standard Local Currency. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Slovenia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 08 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-share-of-value-added/slovenia/

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About this data

Indicator
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Share of Value Added Standard Local Currency
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,526 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.