Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Kyrgyzstan
Kyrgyzstan: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 0.151 in 2023. ◆ Volatile
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Kyrgyzstan, 2000–2023
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for gross fixed capital formation (agriculture, forestry and fishing) in Kyrgyzstan is 0.151, measured in 2023.
Compared with earlier readings it is down 29.7% on the previous year and down 13.3% over ten years.
Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Kyrgyzstan peaked at 0.7855 in 2001 and was at its lowest, 0.0109, in 2016.
Kyrgyzstan ranks 175th of 181 countries on this measure, in the bottom quarter.
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 Kyrgyzstan, year by year
| Year | Value | Change |
|---|---|---|
| 2000 | 0.226 | — |
| 2001 | 0.7855 | +247.5% |
| 2002 | 0.7737 | -1.5% |
| 2003 | 0.16 | -79.3% |
| 2004 | 0.1577 | -1.4% |
| 2005 | 0.476 | +201.8% |
| 2006 | 0.2787 | -41.5% |
| 2007 | 0.2536 | -9.0% |
| 2008 | 0.1974 | -22.2% |
| 2009 | 0.1715 | -13.1% |
| 2010 | 0.1759 | +2.6% |
| 2011 | 0.3359 | +90.9% |
| 2012 | 0.2093 | -37.7% |
| 2013 | 0.1742 | -16.7% |
| 2014 | 0.1319 | -24.3% |
| 2015 | 0.0163 | -87.6% |
| 2016 | 0.0109 | -33.0% |
| 2017 | 0.1101 | +906.3% |
| 2018 | 0.1795 | +63.0% |
| 2019 | 0.2149 | +19.7% |
| 2020 | 0.1775 | -17.4% |
| 2021 | 0.233 | +31.2% |
| 2022 | 0.2148 | -7.8% |
| 2023 | 0.151 | -29.7% |
Kyrgyzstan compared with similar countries
- Kyrgyzstan's 0.151 is below the median for lower middle income countries, which is 0.457, 33% of the median. (41 countries reporting)
- Kyrgyzstan's 0.151 is below the median for Europe & Central Asia, which is 1.48, 10% of the median. (44 countries reporting)
Biggest year-on-year movements
Years where Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Kyrgyzstan changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2017 | +906.3% | 0.0109 | 0.1101 |
| 2001 | +247.5% | 0.226 | 0.7855 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.348 | 0.1577 | 0.7855 | 10 |
| 2010s | 0.1559 | 0.0109 | 0.3359 | 10 |
| 2020s | 0.1941 | 0.151 | 0.233 | 4 |
Countries ranked near Kyrgyzstan
- 172 French Polynesia 0.1601 compare
- 173 Central African Republic 0.1532 compare
- 174 Dominican Republic 0.1532 compare
- 176 Jamaica 0.1366 compare
- 177 Palau 0.1254 compare
- 178 Lebanon 0.0953 compare
More environment data for Kyrgyzstan
- Historical exposure to drought — Land soil moisture anomaly -6.71 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.12 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.581 °C (2025)
- Temperature change 2.97 °C (2025)
- Cropland — Area, annual growth rate -0.1824 % change on previous year (2024)
- Cropland — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Cropland — Area, per capita 0.0002 1000 ha per person (2024)
- Arable land — Area, annual growth rate 0 % change on previous year (2024)
- Arable land — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
Frequently asked questions
- What is gross fixed capital formation (agriculture, forestry and fishing) in Kyrgyzstan?
- Gross fixed capital formation (agriculture, forestry and fishing) in Kyrgyzstan was 0.151 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 Kyrgyzstan?
- The highest recorded value was 0.7855 in 2001.
- What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Kyrgyzstan?
- The lowest recorded value was 0.0109 in 2016.
- How does Kyrgyzstan rank for gross fixed capital formation (agriculture, forestry and fishing)?
- Kyrgyzstan ranks 175th out of 181 countries with data for 2023.
- Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Kyrgyzstan?
- Over the last ten years it is down 13.3%. The long-run trend across the full record is volatile.
- Where does this Kyrgyzstan 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) — Agriculture orientation index Standard Local Currency, 2015 prices. 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.