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

Turkmenistan: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 41,242 million SLC in 2023. ◆ Volatile

Latest (2023)
41,242 million SLC
Change on year
up 3.1%
World rank
98th
of 179 countries
All-time high
41,242 million SLC
in 2023
All-time low
1,908 million SLC
in 2000
Years of data
24
2000–2023

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

010.0k20.0k30.0k40.0k2000201120232000: 1.9k million SLC2001: 2.5k million SLC2002: 3.1k million SLC2003: 3.9k million SLC2004: 4.6k million SLC2005: 4.8k million SLC2006: 5.3k million SLC2007: 5.7k million SLC2008: 9.1k million SLC2009: 10.2k million SLC2010: 10.3k million SLC2011: 12.1k million SLC2012: 14.1k million SLC2013: 16.2k million SLC2014: 17.8k million SLC2015: 18.0k million SLC2016: 19.0k million SLC2017: 21.0k million SLC2018: 22.6k million SLC2019: 26.2k million SLC2020: 27.8k million SLC2021: 33.0k million SLC2022: 40.0k million SLC2023: 41.2k million SLC

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

Analysis

In 2023, net capital stocks (agriculture, forestry and fishing) — value in Turkmenistan stood at 41,242 million SLC. 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 154.6% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Turkmenistan peaked at 41,242 million SLC in 2023 and was at its lowest, 1,908 million SLC, in 2000.

That places Turkmenistan 98th out of 179 countries with data for 2023, putting it in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Turkmenistan, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Turkmenistan, 2000 to 2023.
Year million SLC Change
2000 1,908 million SLC
2001 2,488 million SLC +30.4%
2002 3,145 million SLC +26.4%
2003 3,924 million SLC +24.8%
2004 4,551 million SLC +16.0%
2005 4,802 million SLC +5.5%
2006 5,305 million SLC +10.5%
2007 5,732 million SLC +8.1%
2008 9,145 million SLC +59.5%
2009 10,235 million SLC +11.9%
2010 10,252 million SLC +0.2%
2011 12,136 million SLC +18.4%
2012 14,102 million SLC +16.2%
2013 16,199 million SLC +14.9%
2014 17,770 million SLC +9.7%
2015 17,985 million SLC +1.2%
2016 19,031 million SLC +5.8%
2017 20,957 million SLC +10.1%
2018 22,588 million SLC +7.8%
2019 26,200 million SLC +16.0%
2020 27,803 million SLC +6.1%
2021 33,024 million SLC +18.8%
2022 40,018 million SLC +21.2%
2023 41,242 million SLC +3.1%

Turkmenistan compared with similar countries

  • Turkmenistan's 41,242 million SLC is below the median for upper middle income countries, which is 77,819 million SLC, 53% of the median. (50 countries reporting)
  • Turkmenistan's 41,242 million SLC is below the median for Europe & Central Asia, which is 53,758 million SLC, 77% of the median. (44 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s 5,123 million SLC 1,908 million SLC 10,235 million SLC 10
2010s 17,722 million SLC 10,252 million SLC 26,200 million SLC 10
2020s 35,522 million SLC 27,803 million SLC 41,242 million SLC 4

Countries ranked near Turkmenistan

  1. 95 Belarus 54,209 million SLC compare
  2. 96 Switzerland 53,306 million SLC compare
  3. 97 New Zealand 43,544 million SLC compare
  4. 99 Mauritius 41,166 million SLC compare
  5. 100 Zambia 40,988 million SLC compare
  6. 101 Bhutan 40,204 million SLC compare

See the full ranking of 192 places →

More environment data for Turkmenistan

All data for Turkmenistan →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Turkmenistan?
Net capital stocks (agriculture, forestry and fishing) — value in Turkmenistan was 41,242 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Turkmenistan?
The highest recorded value was 41,242 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Turkmenistan?
The lowest recorded value was 1,908 million SLC in 2000.
How does Turkmenistan rank for net capital stocks (agriculture, forestry and fishing) — value?
Turkmenistan ranks 98th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Turkmenistan?
Over the last ten years it is up 154.6%. The long-run trend across the full record is volatile.
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 Standard Local Currency. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Turkmenistan. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 14 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/turkmenistan/

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About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
192 places, 5,493 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.