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

Turkmenistan: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ was 11,784 million USD in 2023. ▲ Rising

Latest (2023)
11,784 million USD
Change on year
up 3.1%
World rank
57th
of 180 countries
All-time high
11,784 million USD
in 2023
All-time low
1,834 million USD
in 2000
Years of data
24
2000–2023

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

2.0k4.0k6.0k8.0k10.0k12.0k2000201120232000: 1.8k million USD2001: 2.4k million USD2002: 3.0k million USD2003: 3.7k million USD2004: 3.7k million USD2005: 3.8k million USD2006: 3.9k million USD2007: 3.9k million USD2008: 4.0k million USD2009: 3.6k million USD2010: 3.6k million USD2011: 4.3k million USD2012: 4.9k million USD2013: 5.7k million USD2014: 6.2k million USD2015: 5.2k million USD2016: 5.4k million USD2017: 6.0k million USD2018: 6.5k million USD2019: 7.5k million USD2020: 7.9k million USD2021: 9.4k million USD2022: 11.4k million USD2023: 11.8k million USD

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

Analysis

Turkmenistan recorded 11,784 million USD for net capital stocks (agriculture, forestry and fishing) — value us$ in 2023. That is the highest value across all 24 years on record.

Compared with earlier readings it is up 3.1% on the previous year and up 107.3% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value us$ in Turkmenistan peaked at 11,784 million USD in 2023 and was at its lowest, 1,834 million USD, in 2000.

That places Turkmenistan 57th out of 180 countries with data for 2023, putting it 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 Turkmenistan, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Turkmenistan, 2000 to 2023.
Year million USD Change
2000 1,834 million USD
2001 2,392 million USD +30.4%
2002 3,024 million USD +26.4%
2003 3,724 million USD +23.1%
2004 3,748 million USD +0.7%
2005 3,811 million USD +1.7%
2006 3,866 million USD +1.4%
2007 3,926 million USD +1.6%
2008 3,998 million USD +1.8%
2009 3,591 million USD -10.2%
2010 3,597 million USD +0.2%
2011 4,258 million USD +18.4%
2012 4,948 million USD +16.2%
2013 5,684 million USD +14.9%
2014 6,235 million USD +9.7%
2015 5,175 million USD -17.0%
2016 5,437 million USD +5.1%
2017 5,988 million USD +10.1%
2018 6,454 million USD +7.8%
2019 7,486 million USD +16.0%
2020 7,944 million USD +6.1%
2021 9,435 million USD +18.8%
2022 11,434 million USD +21.2%
2023 11,784 million USD +3.1%

Averages by decade

DecadeAverage LowestHighest Years
2000s 3,391 million USD 1,834 million USD 3,998 million USD 10
2010s 5,526 million USD 3,597 million USD 7,486 million USD 10
2020s 10,149 million USD 7,944 million USD 11,784 million USD 4

Countries ranked near Turkmenistan

  1. 54 Guatemala 14,015 million USD compare
  2. 55 Myanmar 13,294 million USD compare
  3. 56 Ghana 13,257 million USD compare
  4. 58 Sri Lanka 10,793 million USD compare
  5. 59 Lithuania 10,595 million USD compare
  6. 60 Latvia 10,421 million USD compare

See the full ranking of 226 places →

More environment data for Turkmenistan

All data for Turkmenistan →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value us$ in Turkmenistan?
Net capital stocks (agriculture, forestry and fishing) — value us$ in Turkmenistan was 11,784 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 Turkmenistan?
The highest recorded value was 11,784 million USD in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Turkmenistan?
The lowest recorded value was 1,834 million USD in 2000.
How does Turkmenistan rank for net capital stocks (agriculture, forestry and fishing) — value us$?
Turkmenistan ranks 57th out of 180 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value us$ rising or falling in Turkmenistan?
Over the last ten years it is up 107.3%. The long-run trend across the full record is rising.
Where does this Turkmenistan 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$. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Turkmenistan. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-us/turkmenistan/

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About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$
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.