Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Georgia

Georgia: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ was 942.36 million USD in 2023. ▼ Falling

Latest (2023)
942.36 million USD
Change on year
down 1.3%
World rank
124th
of 180 countries
All-time high
1,844 million USD
in 2000
All-time low
942.36 million USD
in 2023
Years of data
24
2000–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Georgia, 2000–2023

05001.0k1.5k2.0k2000201120232000: 1.8k million USD2001: 1.8k million USD2002: 1.7k million USD2003: 1.6k million USD2004: 1.6k million USD2005: 1.6k million USD2006: 1.5k million USD2007: 1.4k million USD2008: 1.4k million USD2009: 1.3k million USD2010: 1.2k million USD2011: 1.2k million USD2012: 1.1k million USD2013: 1.1k million USD2014: 1.1k million USD2015: 1.1k million USD2016: 1.0k million USD2017: 1.0k million USD2018: 1.0k million USD2019: 1.0k million USD2020: 989.4 million USD2021: 967 million USD2022: 955.2 million USD2023: 942.4 million USD

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

Analysis

In 2023, net capital stocks (agriculture, forestry and fishing) — value us$ in Georgia stood at 942.36 million USD. That is the lowest value across all 24 years on record.

That represents a change of down 1.3% on the previous year and down 14.7% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value us$ in Georgia peaked at 1,844 million USD in 2000 and was at its lowest, 942.36 million USD, in 2023.

Georgia ranks 124th of 180 countries on this measure, in the middle of the range.

The long-run direction has been consistently falling across the 24 years of available data.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Georgia, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Georgia, 2000 to 2023.
Year million USD Change
2000 1,844 million USD
2001 1,764 million USD -4.3%
2002 1,686 million USD -4.4%
2003 1,643 million USD -2.6%
2004 1,595 million USD -2.9%
2005 1,556 million USD -2.5%
2006 1,494 million USD -4.0%
2007 1,434 million USD -4.0%
2008 1,362 million USD -5.0%
2009 1,285 million USD -5.7%
2010 1,222 million USD -4.9%
2011 1,177 million USD -3.7%
2012 1,138 million USD -3.3%
2013 1,105 million USD -2.9%
2014 1,084 million USD -1.9%
2015 1,064 million USD -1.8%
2016 1,046 million USD -1.7%
2017 1,027 million USD -1.8%
2018 1,016 million USD -1.1%
2019 1,005 million USD -1.1%
2020 989.37 million USD -1.6%
2021 967.02 million USD -2.3%
2022 955.15 million USD -1.2%
2023 942.36 million USD -1.3%

Averages by decade

DecadeAverage LowestHighest Years
2000s 1,566 million USD 1,285 million USD 1,844 million USD 10
2010s 1,088 million USD 1,005 million USD 1,222 million USD 10
2020s 963.47 million USD 942.36 million USD 989.37 million USD 4

Countries ranked near Georgia

  1. 121 Niger 1,338 million USD compare
  2. 122 Congo 1,192 million USD compare
  3. 123 North Macedonia 1,050 million USD compare
  4. 125 Guyana 928.56 million USD compare
  5. 126 Singapore 885.27 million USD compare
  6. 127 Mauritius 854.71 million USD compare

See the full ranking of 226 places →

More environment data for Georgia

All data for Georgia →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value us$ in Georgia?
Net capital stocks (agriculture, forestry and fishing) — value us$ in Georgia was 942.36 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Georgia?
The highest recorded value was 1,844 million USD in 2000.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Georgia?
The lowest recorded value was 942.36 million USD in 2023.
How does Georgia rank for net capital stocks (agriculture, forestry and fishing) — value us$?
Georgia ranks 124th out of 180 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value us$ rising or falling in Georgia?
Over the last ten years it is down 14.7%. The long-run trend across the full record is falling.
Where does this Georgia 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 US$, 2015 prices. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Georgia. 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-us-2015-prices/georgia/

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About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
226 places, 6,479 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.