Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Kazakhstan

Kazakhstan: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ was 11,194 million USD in 2023. ▲ Rising

Latest (2023)
11,194 million USD
Change on year
down 3.4%
World rank
59th
of 180 countries
All-time high
11,591 million USD
in 2022
All-time low
8,554 million USD
in 2006
Years of data
24
2000–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Kazakhstan, 2000–2023

02.5k5.0k7.5k10.0k12.5k2000201120232000: 9.5k million USD2001: 9.3k million USD2002: 9.1k million USD2003: 8.9k million USD2004: 8.7k million USD2005: 8.6k million USD2006: 8.6k million USD2007: 8.6k million USD2008: 8.6k million USD2009: 8.7k million USD2010: 8.7k million USD2011: 8.8k million USD2012: 8.9k million USD2013: 9.0k million USD2014: 9.2k million USD2015: 9.4k million USD2016: 9.6k million USD2017: 9.8k million USD2018: 10.0k million USD2019: 10.3k million USD2020: 10.7k million USD2021: 11.1k million USD2022: 11.6k million USD2023: 11.2k million USD

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

Analysis

In 2023, net capital stocks (agriculture, forestry and fishing) — value us$ in Kazakhstan stood at 11,194 million USD.

Compared with earlier readings it is down 3.4% on the previous year and up 23.8% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value us$ in Kazakhstan peaked at 11,591 million USD in 2022 and was at its lowest, 8,554 million USD, in 2006.

Kazakhstan ranks 59th of 180 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.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Kazakhstan, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Kazakhstan, 2000 to 2023.
Year million USD Change
2000 9,545 million USD
2001 9,291 million USD -2.7%
2002 9,055 million USD -2.5%
2003 8,865 million USD -2.1%
2004 8,719 million USD -1.6%
2005 8,616 million USD -1.2%
2006 8,554 million USD -0.7%
2007 8,588 million USD +0.4%
2008 8,635 million USD +0.6%
2009 8,727 million USD +1.1%
2010 8,732 million USD +0.1%
2011 8,814 million USD +0.9%
2012 8,898 million USD +0.9%
2013 9,039 million USD +1.6%
2014 9,187 million USD +1.6%
2015 9,388 million USD +2.2%
2016 9,566 million USD +1.9%
2017 9,774 million USD +2.2%
2018 9,998 million USD +2.3%
2019 10,302 million USD +3.0%
2020 10,719 million USD +4.0%
2021 11,126 million USD +3.8%
2022 11,591 million USD +4.2%
2023 11,194 million USD -3.4%

Averages by decade

DecadeAverage LowestHighest Years
2000s 8,860 million USD 8,554 million USD 9,545 million USD 10
2010s 9,370 million USD 8,732 million USD 10,302 million USD 10
2020s 11,157 million USD 10,719 million USD 11,591 million USD 4

Countries ranked near Kazakhstan

  1. 56 Belgium 13,507 million USD compare
  2. 57 Honduras 12,638 million USD compare
  3. 58 Sri Lanka 12,573 million USD compare
  4. 60 Guatemala 10,938 million USD compare
  5. 61 Kenya 9,198 million USD compare
  6. 62 Uganda 8,741 million USD compare

See the full ranking of 226 places →

More environment data for Kazakhstan

All data for Kazakhstan →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value us$ in Kazakhstan?
Net capital stocks (agriculture, forestry and fishing) — value us$ in Kazakhstan was 11,194 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Kazakhstan?
The highest recorded value was 11,591 million USD in 2022.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Kazakhstan?
The lowest recorded value was 8,554 million USD in 2006.
How does Kazakhstan rank for net capital stocks (agriculture, forestry and fishing) — value us$?
Kazakhstan ranks 59th out of 180 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value us$ rising or falling in Kazakhstan?
Over the last ten years it is up 23.8%. 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 Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Kazakhstan. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 08 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-us-2015-prices/kazakhstan/

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About this data

Indicator
Net Capital Stocks (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
226 places, 6,479 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.