Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Kazakhstan

Kazakhstan: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 374,558 million SLC in 2023. ▲ Rising

Latest (2023)
374,558 million SLC
Change on year
up 11.6%
World rank
20th
of 181 countries
All-time high
374,558 million SLC
in 2023
All-time low
100,049 million SLC
in 2003
Years of data
24
2000–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Kazakhstan, 2000–2023

100.0k200.0k300.0k400.0k2000201120232000: 141.1k million SLC2001: 108.7k million SLC2002: 109.8k million SLC2003: 100.0k million SLC2004: 128.4k million SLC2005: 129.3k million SLC2006: 129.7k million SLC2007: 170.6k million SLC2008: 138.9k million SLC2009: 128.5k million SLC2010: 148.8k million SLC2011: 210.6k million SLC2012: 160.1k million SLC2013: 196.1k million SLC2014: 212.3k million SLC2015: 246.7k million SLC2016: 221.4k million SLC2017: 248.1k million SLC2018: 239.8k million SLC2019: 264.8k million SLC2020: 296.4k million SLC2021: 303.7k million SLC2022: 335.6k million SLC2023: 374.6k million SLC

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

Analysis

The most recent figure for consumption of fixed capital (agriculture, forestry and fishing) in Kazakhstan is 374,558 million SLC, measured in 2023. That is the highest value across all 24 years on record.

That represents a change of up 11.6% on the previous year and up 91.0% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Kazakhstan peaked at 374,558 million SLC in 2023 and was at its lowest, 100,049 million SLC, in 2003.

Kazakhstan ranks 20th of 181 countries on this measure, in the top quarter.

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

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Kazakhstan, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Kazakhstan, 2000 to 2023.
Year million SLC Change
2000 141,102 million SLC
2001 108,709 million SLC -23.0%
2002 109,847 million SLC +1.0%
2003 100,049 million SLC -8.9%
2004 128,368 million SLC +28.3%
2005 129,271 million SLC +0.7%
2006 129,731 million SLC +0.4%
2007 170,608 million SLC +31.5%
2008 138,908 million SLC -18.6%
2009 128,512 million SLC -7.5%
2010 148,775 million SLC +15.8%
2011 210,573 million SLC +41.5%
2012 160,135 million SLC -24.0%
2013 196,068 million SLC +22.4%
2014 212,335 million SLC +8.3%
2015 246,690 million SLC +16.2%
2016 221,384 million SLC -10.3%
2017 248,127 million SLC +12.1%
2018 239,830 million SLC -3.3%
2019 264,811 million SLC +10.4%
2020 296,391 million SLC +11.9%
2021 303,729 million SLC +2.5%
2022 335,636 million SLC +10.5%
2023 374,558 million SLC +11.6%

Averages by decade

DecadeAverage LowestHighest Years
2000s 128,510 million SLC 100,049 million SLC 170,608 million SLC 10
2010s 214,873 million SLC 148,775 million SLC 264,811 million SLC 10
2020s 327,578 million SLC 296,391 million SLC 374,558 million SLC 4

Countries ranked near Kazakhstan

  1. 17 Russian Federation 550,339 million SLC compare
  2. 18 Iraq 544,155 million SLC compare
  3. 19 Madagascar 463,752 million SLC compare
  4. 21 Hungary 356,706 million SLC compare
  5. 22 Mongolia 312,417 million SLC compare
  6. 23 Yemen 276,078 million SLC compare

See the full ranking of 194 places →

More environment data for Kazakhstan

All data for Kazakhstan →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Kazakhstan?
Consumption of fixed capital (agriculture, forestry and fishing) in Kazakhstan was 374,558 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 Kazakhstan?
The highest recorded value was 374,558 million SLC in 2023.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Kazakhstan?
The lowest recorded value was 100,049 million SLC in 2003.
How does Kazakhstan rank for consumption of fixed capital (agriculture, forestry and fishing)?
Kazakhstan ranks 20th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Kazakhstan?
Over the last ten years it is up 91.0%. The long-run trend across the full record is rising.
Where does this Kazakhstan 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, 2015 prices. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Kazakhstan. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 10 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local-2/kazakhstan/

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About this data

Indicator
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,511 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.