Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Slovenia

Slovenia: Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value was 8,234 million SLC in 2022. ▲ Rising

Latest (2022)
8,234 million SLC
Change on year
up 16.3%
World rank
24th
of 26 countries
All-time high
8,234 million SLC
in 2022
All-time low
3,598 million SLC
in 2000
Years of data
23
2000–2022

Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Slovenia, 2000–2022

02.0k4.0k6.0k8.0k2000201120222000: 3.6k million SLC2001: 3.8k million SLC2002: 4.0k million SLC2003: 4.2k million SLC2004: 4.6k million SLC2005: 4.8k million SLC2006: 4.9k million SLC2007: 5.1k million SLC2008: 5.5k million SLC2009: 5.4k million SLC2010: 5.5k million SLC2011: 5.6k million SLC2012: 5.7k million SLC2013: 5.7k million SLC2014: 5.7k million SLC2015: 5.8k million SLC2016: 5.9k million SLC2017: 6.0k million SLC2018: 6.2k million SLC2019: 6.4k million SLC2020: 6.5k million SLC2021: 7.1k million SLC2022: 8.2k million SLC

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

Analysis

In 2022, gross capital stocks (agriculture, forestry and fishing) — value in Slovenia stood at 8,234 million SLC. That is the highest value across all 23 years on record.

Compared with earlier readings it is up 16.3% on the previous year and up 45.3% over ten years.

Over the whole period, gross capital stocks (agriculture, forestry and fishing) — value in Slovenia peaked at 8,234 million SLC in 2022 and was at its lowest, 3,598 million SLC, in 2000.

That places Slovenia 24th out of 26 countries with data for 2022, putting it in the bottom quarter.

The long-run direction has been consistently rising across the 23 years of available data.

Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Slovenia, year by year

Annual values for Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Slovenia, 2000 to 2022.
Year million SLC Change
2000 3,598 million SLC
2001 3,823 million SLC +6.3%
2002 3,997 million SLC +4.6%
2003 4,241 million SLC +6.1%
2004 4,579 million SLC +8.0%
2005 4,788 million SLC +4.6%
2006 4,888 million SLC +2.1%
2007 5,143 million SLC +5.2%
2008 5,457 million SLC +6.1%
2009 5,398 million SLC -1.1%
2010 5,481 million SLC +1.5%
2011 5,630 million SLC +2.7%
2012 5,666 million SLC +0.6%
2013 5,745 million SLC +1.4%
2014 5,749 million SLC +0.1%
2015 5,831 million SLC +1.4%
2016 5,914 million SLC +1.4%
2017 6,004 million SLC +1.5%
2018 6,200 million SLC +3.3%
2019 6,410 million SLC +3.4%
2020 6,467 million SLC +0.9%
2021 7,078 million SLC +9.5%
2022 8,234 million SLC +16.3%

Slovenia compared with similar countries

  • Slovenia's 8,234 million SLC is below the median for Europe & Central Asia, which is 42,357 million SLC, 19% of the median. (20 countries reporting)
  • Slovenia's 8,234 million SLC is below the median for high income countries, which is 46,822 million SLC, 18% of the median. (23 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s 4,591 million SLC 3,598 million SLC 5,457 million SLC 10
2010s 5,863 million SLC 5,481 million SLC 6,410 million SLC 10
2020s 7,260 million SLC 6,467 million SLC 8,234 million SLC 3

Countries ranked near Slovenia

  1. 21 Ireland 21,952 million SLC compare
  2. 22 Slovakia 17,869 million SLC compare
  3. 23 Lithuania 12,599 million SLC compare
  4. 25 Estonia 4,675 million SLC compare
  5. 26 Luxembourg 4,407 million SLC compare

See the full ranking of 26 places →

More environment data for Slovenia

All data for Slovenia →

Frequently asked questions

What is gross capital stocks (agriculture, forestry and fishing) — value in Slovenia?
Gross capital stocks (agriculture, forestry and fishing) — value in Slovenia was 8,234 million SLC in 2022, according to Food and Agriculture Organization of the United Nations.
What is the highest gross capital stocks (agriculture, forestry and fishing) — value recorded in Slovenia?
The highest recorded value was 8,234 million SLC in 2022.
What is the lowest gross capital stocks (agriculture, forestry and fishing) — value recorded in Slovenia?
The lowest recorded value was 3,598 million SLC in 2000.
How does Slovenia rank for gross capital stocks (agriculture, forestry and fishing) — value?
Slovenia ranks 24th out of 26 countries with data for 2022.
Is gross capital stocks (agriculture, forestry and fishing) — value rising or falling in Slovenia?
Over the last ten years it is up 45.3%. 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 Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Slovenia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 13 September 2026, from https://environment.statizoid.com/stat/gross-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/slovenia/

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About this data

Indicator
Gross Capital Stocks (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
26 places, 670 data points, 1995–2022
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.