Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Belarus

Belarus: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 27,275 million SLC in 2023. ▲ Rising

Latest (2023)
27,275 million SLC
Change on year
up 2.9%
World rank
100th
of 179 countries
All-time high
42,385 million SLC
in 2000
All-time low
11,536 million SLC
in 1995
Years of data
29
1995–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Belarus, 1995–2023

10.0k20.0k30.0k40.0k1995200920231995: 11.5k million SLC1996: 22.9k million SLC1997: 29.1k million SLC1998: 16.6k million SLC1999: 39.6k million SLC2000: 42.4k million SLC2001: 31.5k million SLC2002: 28.3k million SLC2003: 29.1k million SLC2004: 28.5k million SLC2005: 25.6k million SLC2006: 30.0k million SLC2007: 30.8k million SLC2008: 29.1k million SLC2009: 31.6k million SLC2010: 35.5k million SLC2011: 40.8k million SLC2012: 32.0k million SLC2013: 32.2k million SLC2014: 31.0k million SLC2015: 30.6k million SLC2016: 28.4k million SLC2017: 27.9k million SLC2018: 26.8k million SLC2019: 26.7k million SLC2020: 25.8k million SLC2021: 27.1k million SLC2022: 26.5k million SLC2023: 27.3k million SLC

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

Analysis

The most recent figure for net capital stocks (agriculture, forestry and fishing) — value in Belarus is 27,275 million SLC, measured in 2023.

Compared with earlier readings it is up 2.9% on the previous year and down 15.2% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Belarus peaked at 42,385 million SLC in 2000 and was at its lowest, 11,536 million SLC, in 1995.

Belarus ranks 100th of 179 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.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Belarus, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Belarus, 1995 to 2023.
Year million SLC Change
1995 11,536 million SLC
1996 22,856 million SLC +98.1%
1997 29,072 million SLC +27.2%
1998 16,607 million SLC -42.9%
1999 39,628 million SLC +138.6%
2000 42,385 million SLC +7.0%
2001 31,484 million SLC -25.7%
2002 28,260 million SLC -10.2%
2003 29,070 million SLC +2.9%
2004 28,453 million SLC -2.1%
2005 25,576 million SLC -10.1%
2006 30,037 million SLC +17.4%
2007 30,812 million SLC +2.6%
2008 29,093 million SLC -5.6%
2009 31,584 million SLC +8.6%
2010 35,510 million SLC +12.4%
2011 40,800 million SLC +14.9%
2012 31,999 million SLC -21.6%
2013 32,168 million SLC +0.5%
2014 31,026 million SLC -3.6%
2015 30,562 million SLC -1.5%
2016 28,424 million SLC -7.0%
2017 27,851 million SLC -2.0%
2018 26,772 million SLC -3.9%
2019 26,729 million SLC -0.2%
2020 25,773 million SLC -3.6%
2021 27,144 million SLC +5.3%
2022 26,507 million SLC -2.3%
2023 27,275 million SLC +2.9%

Averages by decade

DecadeAverage LowestHighest Years
1990s 23,940 million SLC 11,536 million SLC 39,628 million SLC 5
2000s 30,675 million SLC 25,576 million SLC 42,385 million SLC 10
2010s 31,184 million SLC 26,729 million SLC 40,800 million SLC 10
2020s 26,675 million SLC 25,773 million SLC 27,275 million SLC 4

Countries ranked near Belarus

  1. 97 Vanuatu 30,597 million SLC compare
  2. 98 Bhutan 30,527 million SLC compare
  3. 99 Mauritius 29,964 million SLC compare
  4. 101 Israel 24,644 million SLC compare
  5. 102 Turkmenistan 23,402 million SLC compare
  6. 103 New Caledonia 22,876 million SLC compare

See the full ranking of 192 places →

More environment data for Belarus

All data for Belarus →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Belarus?
Net capital stocks (agriculture, forestry and fishing) — value in Belarus was 27,275 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Belarus?
The highest recorded value was 42,385 million SLC in 2000.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Belarus?
The lowest recorded value was 11,536 million SLC in 1995.
How does Belarus rank for net capital stocks (agriculture, forestry and fishing) — value?
Belarus ranks 100th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Belarus?
Over the last ten years it is down 15.2%. The long-run trend across the full record is rising.
Where does this Belarus data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Belarus. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 07 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency-2015/belarus/

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About this data

Indicator
Net Capital Stocks (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
192 places, 5,493 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.