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

Eastern Europe: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 26.48 % in 2023. ▲ Rising

Latest (2023)
26.48 %
Change on year
up 16.2%
Rank
9th
of 29 groups
All-time high
28 %
in 2008
All-time low
15.67 %
in 1995
Years of data
29
1995–2023

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

01020301995200920231995: 15.7 %1996: 20.9 %1997: 16.6 %1998: 17.2 %1999: 18.8 %2000: 16.5 %2001: 16.4 %2002: 16.7 %2003: 16.1 %2004: 15.8 %2005: 19.1 %2006: 23.8 %2007: 27.2 %2008: 28 %2009: 24.9 %2010: 24.5 %2011: 23.5 %2012: 24.8 %2013: 25 %2014: 22.7 %2015: 22.9 %2016: 22.8 %2017: 24.2 %2018: 23.9 %2019: 23.1 %2020: 23.9 %2021: 22.1 %2022: 22.8 %2023: 26.5 %

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

Analysis

Eastern Europe recorded 26.48 % for gross fixed capital formation (agriculture, forestry and fishing) in 2023.

The figure is up 16.2% on the previous year and up 5.9% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Eastern Europe peaked at 28 % in 2008 and was at its lowest, 15.67 %, in 1995.

Eastern Europe ranks 9th of 29 groups 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 Eastern Europe, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Share of Value Added US$ in Eastern Europe, 1995 to 2023.
Year % Change
1995 15.67 %
1996 20.89 % +33.3%
1997 16.6 % -20.5%
1998 17.17 % +3.4%
1999 18.79 % +9.4%
2000 16.47 % -12.4%
2001 16.39 % -0.5%
2002 16.68 % +1.8%
2003 16.15 % -3.2%
2004 15.81 % -2.1%
2005 19.13 % +21.0%
2006 23.75 % +24.1%
2007 27.22 % +14.6%
2008 28 % +2.9%
2009 24.85 % -11.2%
2010 24.52 % -1.3%
2011 23.48 % -4.2%
2012 24.76 % +5.4%
2013 24.99 % +0.9%
2014 22.69 % -9.2%
2015 22.87 % +0.8%
2016 22.8 % -0.3%
2017 24.21 % +6.2%
2018 23.95 % -1.1%
2019 23.08 % -3.6%
2020 23.91 % +3.6%
2021 22.06 % -7.7%
2022 22.79 % +3.3%
2023 26.48 % +16.2%

Averages by decade

DecadeAverage LowestHighest Years
1990s 17.83 % 15.67 % 20.89 % 5
2000s 20.44 % 15.81 % 28 % 10
2010s 23.73 % 22.69 % 24.99 % 10
2020s 23.81 % 22.06 % 26.48 % 4

Countries ranked near Eastern Europe

  1. 6 Iran (Islamic Republic of) 9.57 % compare
  2. 6 United Kingdom of Great Britain and Northern Ireland 57.67 % compare
  3. 7 Austria 53.74 % compare
  4. 7 Micronesia (Federated States of) 8.54 % compare
  5. 8 Belarus 52.92 % compare
  6. 8 Melanesia 8.3 % compare
  7. 9 Slovenia 52.18 % compare
  8. 10 Hungary 49.45 % compare
  9. 10 United Republic of Tanzania 8.01 % compare
  10. 11 Ireland 48.82 % compare
  11. 11 Timor-Leste 7.44 % compare
  12. 12 Singapore 48.54 % compare

See the full ranking of 228 places →

More environment data for Eastern Europe

All data for Eastern Europe →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Eastern Europe?
Gross fixed capital formation (agriculture, forestry and fishing) in Eastern Europe was 26.48 % 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 Eastern Europe?
The highest recorded value was 28 % in 2008.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Eastern Europe?
The lowest recorded value was 15.67 % in 1995.
How does Eastern Europe rank for gross fixed capital formation (agriculture, forestry and fishing)?
Eastern Europe ranks 9th out of 29 groups with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Eastern Europe?
Over the last ten years it is up 5.9%. The long-run trend across the full record is rising.
Where does this Eastern Europe 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 US$. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Eastern Europe. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-share-of-value-added-us/eastern-europe/

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About this data

Indicator
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Share of Value Added US$
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
228 places, 6,512 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.