Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Georgia
Georgia: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 3,963 million SLC in 2023. ▲ Rising
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Georgia, 2000–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2023, net capital stocks (agriculture, forestry and fishing) — value in Georgia stood at 3,963 million SLC.
Compared with earlier readings it is down 1.2% on the previous year and up 65.0% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Georgia peaked at 4,011 million SLC in 2022 and was at its lowest, 1,801 million SLC, in 2000.
That places Georgia 136th out of 179 countries with data for 2023, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 24 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Georgia, year by year
| Year | million SLC | Change |
|---|---|---|
| 2000 | 1,801 million SLC | — |
| 2001 | 1,816 million SLC | +0.8% |
| 2002 | 1,838 million SLC | +1.2% |
| 2003 | 1,852 million SLC | +0.8% |
| 2004 | 1,950 million SLC | +5.3% |
| 2005 | 2,053 million SLC | +5.3% |
| 2006 | 2,138 million SLC | +4.1% |
| 2007 | 2,246 million SLC | +5.1% |
| 2008 | 2,339 million SLC | +4.1% |
| 2009 | 2,159 million SLC | -7.7% |
| 2010 | 2,229 million SLC | +3.2% |
| 2011 | 2,342 million SLC | +5.0% |
| 2012 | 2,484 million SLC | +6.1% |
| 2013 | 2,403 million SLC | -3.3% |
| 2014 | 2,350 million SLC | -2.2% |
| 2015 | 2,415 million SLC | +2.8% |
| 2016 | 2,546 million SLC | +5.4% |
| 2017 | 2,643 million SLC | +3.8% |
| 2018 | 2,770 million SLC | +4.8% |
| 2019 | 2,893 million SLC | +4.5% |
| 2020 | 3,179 million SLC | +9.9% |
| 2021 | 3,818 million SLC | +20.1% |
| 2022 | 4,011 million SLC | +5.1% |
| 2023 | 3,963 million SLC | -1.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 2,019 million SLC | 1,801 million SLC | 2,339 million SLC | 10 |
| 2010s | 2,507 million SLC | 2,229 million SLC | 2,893 million SLC | 10 |
| 2020s | 3,743 million SLC | 3,179 million SLC | 4,011 million SLC | 4 |
Countries ranked near Georgia
More environment data for Georgia
- Historical exposure to drought — Land soil moisture anomaly -6.11 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -7.33 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.75 °C (2025)
- Temperature change 1.75 °C (2025)
- Roundwood — Import value, annual growth rate -7.04 % change on previous year (2024)
- Roundwood — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Roundwood — Import value, per capita 0.0005 1000 USD per person (2024)
- Roundwood — Export quantity, annual growth rate -89.13 % change on previous year (2024)
- Roundwood — Export quantity, per capita 0.0001 m3 per person (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Georgia?
- Net capital stocks (agriculture, forestry and fishing) — value in Georgia was 3,963 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 Georgia?
- The highest recorded value was 4,011 million SLC in 2022.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Georgia?
- The lowest recorded value was 1,801 million SLC in 2000.
- How does Georgia rank for net capital stocks (agriculture, forestry and fishing) — value?
- Georgia ranks 136th out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Georgia?
- Over the last ten years it is up 65.0%. The long-run trend across the full record is rising.
- 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 Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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.