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

Czechia: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 41,395 million SLC in 2023. ▲ Rising

Latest (2023)
41,395 million SLC
Change on year
up 5.8%
World rank
52nd
of 181 countries
All-time high
42,528 million SLC
in 2017
All-time low
17,156 million SLC
in 1999
Years of data
29
1995–2023

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

010.0k20.0k30.0k40.0k1995200920231995: 32.2k million SLC1996: 34.5k million SLC1997: 23.7k million SLC1998: 22.4k million SLC1999: 17.2k million SLC2000: 21.0k million SLC2001: 26.0k million SLC2002: 25.2k million SLC2003: 18.9k million SLC2004: 21.6k million SLC2005: 21.5k million SLC2006: 22.8k million SLC2007: 29.6k million SLC2008: 27.3k million SLC2009: 21.9k million SLC2010: 25.8k million SLC2011: 30.6k million SLC2012: 40.8k million SLC2013: 38.2k million SLC2014: 37.8k million SLC2015: 30.8k million SLC2016: 39.1k million SLC2017: 42.5k million SLC2018: 40.9k million SLC2019: 41.8k million SLC2020: 40.9k million SLC2021: 37.8k million SLC2022: 39.1k million SLC2023: 41.4k million SLC

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

Analysis

Czechia recorded 41,395 million SLC for gross fixed capital formation (agriculture, forestry and fishing) in 2023.

The figure is up 5.8% on the previous year and up 8.4% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Czechia peaked at 42,528 million SLC in 2017 and was at its lowest, 17,156 million SLC, in 1999.

Czechia ranks 52nd of 181 countries on this measure, 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 Czechia, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Czechia, 1995 to 2023.
Year million SLC Change
1995 32,163 million SLC
1996 34,531 million SLC +7.4%
1997 23,652 million SLC -31.5%
1998 22,393 million SLC -5.3%
1999 17,156 million SLC -23.4%
2000 20,987 million SLC +22.3%
2001 26,026 million SLC +24.0%
2002 25,203 million SLC -3.2%
2003 18,871 million SLC -25.1%
2004 21,604 million SLC +14.5%
2005 21,460 million SLC -0.7%
2006 22,843 million SLC +6.4%
2007 29,562 million SLC +29.4%
2008 27,261 million SLC -7.8%
2009 21,906 million SLC -19.6%
2010 25,806 million SLC +17.8%
2011 30,562 million SLC +18.4%
2012 40,829 million SLC +33.6%
2013 38,191 million SLC -6.5%
2014 37,775 million SLC -1.1%
2015 30,776 million SLC -18.5%
2016 39,076 million SLC +27.0%
2017 42,528 million SLC +8.8%
2018 40,863 million SLC -3.9%
2019 41,777 million SLC +2.2%
2020 40,931 million SLC -2.0%
2021 37,809 million SLC -7.6%
2022 39,109 million SLC +3.4%
2023 41,395 million SLC +5.8%

Averages by decade

DecadeAverage LowestHighest Years
1990s 25,979 million SLC 17,156 million SLC 34,531 million SLC 5
2000s 23,572 million SLC 18,871 million SLC 29,562 million SLC 10
2010s 36,818 million SLC 25,806 million SLC 42,528 million SLC 10
2020s 39,811 million SLC 37,809 million SLC 41,395 million SLC 4

Countries ranked near Czechia

  1. 49 Burundi 54,286 million SLC compare
  2. 50 Lebanon 47,980 million SLC compare
  3. 51 Ethiopia 45,655 million SLC compare
  4. 53 Argentina 38,732 million SLC compare
  5. 54 South Africa 31,746 million SLC compare
  6. 55 Afghanistan 31,145 million SLC compare

See the full ranking of 194 places →

More environment data for Czechia

All data for Czechia →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Czechia?
Gross fixed capital formation (agriculture, forestry and fishing) in Czechia was 41,395 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 Czechia?
The highest recorded value was 42,528 million SLC in 2017.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Czechia?
The lowest recorded value was 17,156 million SLC in 1999.
How does Czechia rank for gross fixed capital formation (agriculture, forestry and fishing)?
Czechia ranks 52nd out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Czechia?
Over the last ten years it is up 8.4%. The long-run trend across the full record is rising.
Where does this Czechia 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, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Czechia. 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-2/czechia/

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About this data

Indicator
Gross Fixed Capital Formation (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, 5,526 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.