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

Bhutan: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 40,204 million SLC in 2023. ◆ Volatile

Latest (2023)
40,204 million SLC
Change on year
up 8.0%
World rank
101st
of 179 countries
All-time high
40,204 million SLC
in 2023
All-time low
1,321 million SLC
in 1995
Years of data
29
1995–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bhutan, 1995–2023

010.0k20.0k30.0k40.0k1995200920231995: 1.3k million SLC1996: 1.6k million SLC1997: 1.7k million SLC1998: 2.0k million SLC1999: 2.2k million SLC2000: 2.6k million SLC2001: 3.1k million SLC2002: 3.5k million SLC2003: 4.1k million SLC2004: 4.6k million SLC2005: 5.2k million SLC2006: 5.6k million SLC2007: 5.8k million SLC2008: 6.5k million SLC2009: 7.1k million SLC2010: 8.4k million SLC2011: 10.6k million SLC2012: 12.7k million SLC2013: 15.3k million SLC2014: 16.5k million SLC2015: 17.5k million SLC2016: 19.6k million SLC2017: 21.6k million SLC2018: 24.4k million SLC2019: 26.2k million SLC2020: 28.4k million SLC2021: 32.3k million SLC2022: 37.2k million SLC2023: 40.2k million SLC

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

Analysis

Bhutan recorded 40,204 million SLC for net capital stocks (agriculture, forestry and fishing) — value in 2023. That is the highest value across all 29 years on record.

The figure is up 8.0% on the previous year and up 162.4% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Bhutan peaked at 40,204 million SLC in 2023 and was at its lowest, 1,321 million SLC, in 1995.

That places Bhutan 101st 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 Bhutan, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Bhutan, 1995 to 2023.
Year million SLC Change
1995 1,321 million SLC
1996 1,560 million SLC +18.0%
1997 1,747 million SLC +12.1%
1998 2,027 million SLC +16.0%
1999 2,249 million SLC +11.0%
2000 2,554 million SLC +13.6%
2001 3,068 million SLC +20.1%
2002 3,457 million SLC +12.7%
2003 4,071 million SLC +17.7%
2004 4,615 million SLC +13.4%
2005 5,197 million SLC +12.6%
2006 5,570 million SLC +7.2%
2007 5,784 million SLC +3.9%
2008 6,454 million SLC +11.6%
2009 7,073 million SLC +9.6%
2010 8,443 million SLC +19.4%
2011 10,567 million SLC +25.2%
2012 12,712 million SLC +20.3%
2013 15,323 million SLC +20.5%
2014 16,458 million SLC +7.4%
2015 17,511 million SLC +6.4%
2016 19,566 million SLC +11.7%
2017 21,634 million SLC +10.6%
2018 24,415 million SLC +12.9%
2019 26,202 million SLC +7.3%
2020 28,393 million SLC +8.4%
2021 32,268 million SLC +13.6%
2022 37,211 million SLC +15.3%
2023 40,204 million SLC +8.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 1,781 million SLC 1,321 million SLC 2,249 million SLC 5
2000s 4,784 million SLC 2,554 million SLC 7,073 million SLC 10
2010s 17,283 million SLC 8,443 million SLC 26,202 million SLC 10
2020s 34,519 million SLC 28,393 million SLC 40,204 million SLC 4

Countries ranked near Bhutan

  1. 98 Turkmenistan 41,242 million SLC compare
  2. 99 Mauritius 41,166 million SLC compare
  3. 100 Zambia 40,988 million SLC compare
  4. 102 Vanuatu 40,186 million SLC compare
  5. 103 Namibia 27,732 million SLC compare
  6. 104 Israel 27,639 million SLC compare

See the full ranking of 192 places →

More environment data for Bhutan

All data for Bhutan →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Bhutan?
Net capital stocks (agriculture, forestry and fishing) — value in Bhutan was 40,204 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 Bhutan?
The highest recorded value was 40,204 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Bhutan?
The lowest recorded value was 1,321 million SLC in 1995.
How does Bhutan rank for net capital stocks (agriculture, forestry and fishing) — value?
Bhutan ranks 101st out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Bhutan?
Over the last ten years it is up 162.4%. The long-run trend across the full record is volatile.
Where does this Bhutan 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 Bhutan. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/bhutan/

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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.