Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Kyrgyzstan
Kyrgyzstan: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 4,318 million SLC in 2023. ▲ Rising
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Kyrgyzstan, 2000–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2023, consumption of fixed capital (agriculture, forestry and fishing) in Kyrgyzstan stood at 4,318 million SLC.
Compared with earlier readings it is up 2.4% on the previous year and up 59.5% over ten years.
Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Kyrgyzstan peaked at 4,844 million SLC in 2021 and was at its lowest, 867.7 million SLC, in 2003.
Kyrgyzstan ranks 93rd of 181 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 24 years of available data.
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Kyrgyzstan, year by year
| Year | million SLC | Change |
|---|---|---|
| 2000 | 1,698 million SLC | — |
| 2001 | 1,375 million SLC | -19.0% |
| 2002 | 873.1 million SLC | -36.5% |
| 2003 | 867.7 million SLC | -0.6% |
| 2004 | 1,024 million SLC | +18.0% |
| 2005 | 1,379 million SLC | +34.7% |
| 2006 | 1,363 million SLC | -1.1% |
| 2007 | 1,410 million SLC | +3.4% |
| 2008 | 1,599 million SLC | +13.4% |
| 2009 | 2,234 million SLC | +39.7% |
| 2010 | 2,035 million SLC | -8.9% |
| 2011 | 2,412 million SLC | +18.5% |
| 2012 | 2,726 million SLC | +13.0% |
| 2013 | 2,708 million SLC | -0.7% |
| 2014 | 3,186 million SLC | +17.7% |
| 2015 | 3,152 million SLC | -1.1% |
| 2016 | 3,500 million SLC | +11.0% |
| 2017 | 3,790 million SLC | +8.3% |
| 2018 | 3,744 million SLC | -1.2% |
| 2019 | 3,809 million SLC | +1.7% |
| 2020 | 3,993 million SLC | +4.8% |
| 2021 | 4,844 million SLC | +21.3% |
| 2022 | 4,215 million SLC | -13.0% |
| 2023 | 4,318 million SLC | +2.4% |
Kyrgyzstan compared with similar countries
- Kyrgyzstan's 4,318 million SLC is below the median for lower middle income countries, which is 8,061 million SLC, 54% of the median. (41 countries reporting)
- Kyrgyzstan's 4,318 million SLC is above the median for Europe & Central Asia, which is 3,052 million SLC, 1.4× the median. (44 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 1,382 million SLC | 867.7 million SLC | 2,234 million SLC | 10 |
| 2010s | 3,106 million SLC | 2,035 million SLC | 3,809 million SLC | 10 |
| 2020s | 4,343 million SLC | 3,993 million SLC | 4,844 million SLC | 4 |
Countries ranked near Kyrgyzstan
- 90 Mauritania 4,653 million SLC compare
- 91 Peru 4,652 million SLC compare
- 92 Israel 4,617 million SLC compare
- 94 United Kingdom of Great Britain and Northern Ireland 3,878 million SLC compare
- 95 Turkmenistan 3,060 million SLC compare
- 96 Austria 3,045 million SLC 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 consumption of fixed capital (agriculture, forestry and fishing) in Kyrgyzstan?
- Consumption of fixed capital (agriculture, forestry and fishing) in Kyrgyzstan was 4,318 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest consumption of fixed capital (agriculture, forestry and fishing) recorded in Kyrgyzstan?
- The highest recorded value was 4,844 million SLC in 2021.
- What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Kyrgyzstan?
- The lowest recorded value was 867.7 million SLC in 2003.
- How does Kyrgyzstan rank for consumption of fixed capital (agriculture, forestry and fishing)?
- Kyrgyzstan ranks 93rd out of 181 countries with data for 2023.
- Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Kyrgyzstan?
- Over the last ten years it is up 59.5%. The long-run trend across the full record is rising.
- Where does this Kyrgyzstan data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Consumption of Fixed Capital (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.