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

Georgia: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 120.16 million USD in 2023. ▼ Falling

Latest (2023)
120.16 million USD
Change on year
up 34.6%
World rank
120th
of 182 countries
All-time high
131.88 million USD
in 2003
All-time low
62.17 million USD
in 2009
Years of data
24
2000–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Georgia, 2000–2023

0501001502000201120232000: 93.9 million USD2001: 110.1 million USD2002: 103.3 million USD2003: 131.9 million USD2004: 123.1 million USD2005: 126.4 million USD2006: 98.8 million USD2007: 93.9 million USD2008: 75.7 million USD2009: 62.2 million USD2010: 69.2 million USD2011: 80.7 million USD2012: 82.7 million USD2013: 85.3 million USD2014: 94.1 million USD2015: 93.3 million USD2016: 93.2 million USD2017: 89.8 million USD2018: 96.7 million USD2019: 95.2 million USD2020: 89.3 million USD2021: 80.6 million USD2022: 89.3 million USD2023: 120.2 million USD

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

Analysis

In 2023, gross fixed capital formation (agriculture, forestry and fishing) in Georgia stood at 120.16 million USD.

The figure is up 34.6% on the previous year and up 40.8% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Georgia peaked at 131.88 million USD in 2003 and was at its lowest, 62.17 million USD, in 2009.

That places Georgia 120th out of 182 countries with data for 2023, putting it in the middle of the range.

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

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

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Georgia, 2000 to 2023.
Year million USD Change
2000 93.89 million USD
2001 110.09 million USD +17.3%
2002 103.28 million USD -6.2%
2003 131.88 million USD +27.7%
2004 123.09 million USD -6.7%
2005 126.4 million USD +2.7%
2006 98.82 million USD -21.8%
2007 93.86 million USD -5.0%
2008 75.66 million USD -19.4%
2009 62.17 million USD -17.8%
2010 69.22 million USD +11.3%
2011 80.75 million USD +16.7%
2012 82.69 million USD +2.4%
2013 85.33 million USD +3.2%
2014 94.12 million USD +10.3%
2015 93.29 million USD -0.9%
2016 93.21 million USD -0.1%
2017 89.78 million USD -3.7%
2018 96.74 million USD +7.8%
2019 95.22 million USD -1.6%
2020 89.31 million USD -6.2%
2021 80.61 million USD -9.7%
2022 89.3 million USD +10.8%
2023 120.16 million USD +34.6%

Averages by decade

DecadeAverage LowestHighest Years
2000s 101.91 million USD 62.17 million USD 131.88 million USD 10
2010s 88.04 million USD 69.22 million USD 96.74 million USD 10
2020s 94.85 million USD 80.61 million USD 120.16 million USD 4

Countries ranked near Georgia

  1. 117 Zimbabwe 131.05 million USD compare
  2. 118 Zambia 130.16 million USD compare
  3. 119 Niger 120.44 million USD compare
  4. 121 Haiti 110.66 million USD compare
  5. 122 Congo 109.25 million USD compare
  6. 123 Guyana 106.58 million USD compare

See the full ranking of 228 places →

More environment data for Georgia

All data for Georgia →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Georgia?
Gross fixed capital formation (agriculture, forestry and fishing) in Georgia was 120.16 million USD 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 Georgia?
The highest recorded value was 131.88 million USD in 2003.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Georgia?
The lowest recorded value was 62.17 million USD in 2009.
How does Georgia rank for gross fixed capital formation (agriculture, forestry and fishing)?
Georgia ranks 120th out of 182 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Georgia?
Over the last ten years it is up 40.8%. 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 Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Georgia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 03 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-us-2015-prices/georgia/

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About this data

Indicator
Gross Fixed Capital Formation (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
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.