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

Belarus: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 8,292 million SLC in 2023. ◆ Volatile

Latest (2023)
8,292 million SLC
Change on year
up 26.3%
World rank
89th
of 181 countries
All-time high
8,292 million SLC
in 2023
All-time low
0.2043 million SLC
in 1995
Years of data
29
1995–2023

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

02.0k4.0k6.0k8.0k1995200920231995: 0.204 million SLC1996: 0.212 million SLC1997: 0.514 million SLC1998: 1.2 million SLC1999: 4.5 million SLC2000: 14.7 million SLC2001: 18.1 million SLC2002: 28.7 million SLC2003: 47.7 million SLC2004: 105.7 million SLC2005: 219.7 million SLC2006: 384.2 million SLC2007: 437.9 million SLC2008: 650.4 million SLC2009: 905.6 million SLC2010: 1.1k million SLC2011: 1.4k million SLC2012: 2.8k million SLC2013: 3.2k million SLC2014: 2.5k million SLC2015: 2.6k million SLC2016: 2.3k million SLC2017: 3.0k million SLC2018: 3.3k million SLC2019: 4.0k million SLC2020: 4.8k million SLC2021: 5.2k million SLC2022: 6.6k million SLC2023: 8.3k million SLC

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

Analysis

Belarus recorded 8,292 million SLC for gross fixed capital formation (agriculture, forestry and fishing) in 2023. That is the highest value across all 29 years on record.

Compared with earlier readings it is up 26.3% on the previous year and up 156.5% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Belarus peaked at 8,292 million SLC in 2023 and was at its lowest, 0.2043 million SLC, in 1995.

That places Belarus 89th out of 181 countries with data for 2023, putting it in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

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

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Belarus, 1995 to 2023.
Year million SLC Change
1995 0.2043 million SLC
1996 0.212 million SLC +3.8%
1997 0.5145 million SLC +142.7%
1998 1.21 million SLC +135.9%
1999 4.48 million SLC +268.8%
2000 14.66 million SLC +227.4%
2001 18.1 million SLC +23.5%
2002 28.72 million SLC +58.7%
2003 47.66 million SLC +66.0%
2004 105.73 million SLC +121.9%
2005 219.67 million SLC +107.8%
2006 384.22 million SLC +74.9%
2007 437.89 million SLC +14.0%
2008 650.42 million SLC +48.5%
2009 905.58 million SLC +39.2%
2010 1,103 million SLC +21.8%
2011 1,420 million SLC +28.7%
2012 2,753 million SLC +93.9%
2013 3,233 million SLC +17.4%
2014 2,508 million SLC -22.4%
2015 2,582 million SLC +3.0%
2016 2,284 million SLC -11.5%
2017 2,997 million SLC +31.2%
2018 3,292 million SLC +9.8%
2019 4,032 million SLC +22.5%
2020 4,793 million SLC +18.9%
2021 5,249 million SLC +9.5%
2022 6,566 million SLC +25.1%
2023 8,292 million SLC +26.3%

Averages by decade

DecadeAverage LowestHighest Years
1990s 1.32 million SLC 0.2043 million SLC 4.48 million SLC 5
2000s 281.26 million SLC 14.66 million SLC 905.58 million SLC 10
2010s 2,620 million SLC 1,103 million SLC 4,032 million SLC 10
2020s 6,225 million SLC 4,793 million SLC 8,292 million SLC 4

Countries ranked near Belarus

  1. 86 Peru 10,080 million SLC compare
  2. 87 United Kingdom of Great Britain and Northern Ireland 9,093 million SLC compare
  3. 88 Guatemala 9,083 million SLC compare
  4. 90 Mauritania 7,884 million SLC compare
  5. 91 Jamaica 7,203 million SLC compare
  6. 92 Spain 7,025 million SLC compare

See the full ranking of 194 places →

More environment data for Belarus

All data for Belarus →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Belarus?
Gross fixed capital formation (agriculture, forestry and fishing) in Belarus was 8,292 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 Belarus?
The highest recorded value was 8,292 million SLC in 2023.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Belarus?
The lowest recorded value was 0.2043 million SLC in 1995.
How does Belarus rank for gross fixed capital formation (agriculture, forestry and fishing)?
Belarus ranks 89th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Belarus?
Over the last ten years it is up 156.5%. The long-run trend across the full record is volatile.
Where does this Belarus 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. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Belarus. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-standard-local/belarus/

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About this data

Indicator
Gross Fixed Capital Formation (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
194 places, 5,531 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.