Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Bhutan
Bhutan: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 88,428 million SLC in 2024. ◆ Volatile
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Bhutan, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, gross fixed capital formation — value standard local currency, 2015 in Bhutan stood at 88,428 million SLC.
That represents a change of up 5.1% on the previous year and up 25.5% over ten years.
Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Bhutan peaked at 96,408 million SLC in 2022 and was at its lowest, 3,067 million SLC, in 1970.
Bhutan ranks 102nd of 194 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Bhutan, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 3,067 million SLC | — |
| 1971 | 3,148 million SLC | +2.6% |
| 1972 | 3,184 million SLC | +1.1% |
| 1973 | 3,236 million SLC | +1.6% |
| 1974 | 3,394 million SLC | +4.9% |
| 1975 | 3,282 million SLC | -3.3% |
| 1976 | 3,603 million SLC | +9.8% |
| 1977 | 3,826 million SLC | +6.2% |
| 1978 | 4,137 million SLC | +8.1% |
| 1979 | 4,464 million SLC | +7.9% |
| 1980 | 4,292 million SLC | -3.8% |
| 1981 | 5,213 million SLC | +21.5% |
| 1982 | 5,805 million SLC | +11.4% |
| 1983 | 7,238 million SLC | +24.7% |
| 1984 | 6,943 million SLC | -4.1% |
| 1985 | 8,308 million SLC | +19.7% |
| 1986 | 8,789 million SLC | +5.8% |
| 1987 | 9,039 million SLC | +2.8% |
| 1988 | 8,910 million SLC | -1.4% |
| 1989 | 8,315 million SLC | -6.7% |
| 1990 | 7,904 million SLC | -4.9% |
| 1991 | 8,470 million SLC | +7.2% |
| 1992 | 10,901 million SLC | +28.7% |
| 1993 | 12,820 million SLC | +17.6% |
| 1994 | 13,539 million SLC | +5.6% |
| 1995 | 13,728 million SLC | +1.4% |
| 1996 | 14,056 million SLC | +2.4% |
| 1997 | 14,594 million SLC | +3.8% |
| 1998 | 16,450 million SLC | +12.7% |
| 1999 | 21,797 million SLC | +32.5% |
| 2000 | 25,938 million SLC | +19.0% |
| 2001 | 30,380 million SLC | +17.1% |
| 2002 | 39,510 million SLC | +30.1% |
| 2003 | 39,656 million SLC | +0.4% |
| 2004 | 40,588 million SLC | +2.4% |
| 2005 | 39,610 million SLC | -2.4% |
| 2006 | 36,552 million SLC | -7.7% |
| 2007 | 34,585 million SLC | -5.4% |
| 2008 | 39,326 million SLC | +13.7% |
| 2009 | 51,587 million SLC | +31.2% |
| 2010 | 73,104 million SLC | +41.7% |
| 2011 | 83,080 million SLC | +13.6% |
| 2012 | 85,457 million SLC | +2.9% |
| 2013 | 74,647 million SLC | -12.7% |
| 2014 | 70,478 million SLC | -5.6% |
| 2015 | 79,548 million SLC | +12.9% |
| 2016 | 86,961 million SLC | +9.3% |
| 2017 | 86,938 million SLC | -0.0% |
| 2018 | 85,706 million SLC | -1.4% |
| 2019 | 79,461 million SLC | -7.3% |
| 2020 | 61,808 million SLC | -22.2% |
| 2021 | 74,603 million SLC | +20.7% |
| 2022 | 96,408 million SLC | +29.2% |
| 2023 | 84,105 million SLC | -12.8% |
| 2024 | 88,428 million SLC | +5.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 3,534 million SLC | 3,067 million SLC | 4,464 million SLC | 10 |
| 1980s | 7,285 million SLC | 4,292 million SLC | 9,039 million SLC | 10 |
| 1990s | 13,426 million SLC | 7,904 million SLC | 21,797 million SLC | 10 |
| 2000s | 37,773 million SLC | 25,938 million SLC | 51,587 million SLC | 10 |
| 2010s | 80,538 million SLC | 70,478 million SLC | 86,961 million SLC | 10 |
| 2020s | 81,070 million SLC | 61,808 million SLC | 96,408 million SLC | 5 |
Countries ranked near Bhutan
- 99 Turkmenistan 96,866 million SLC compare
- 100 Nicaragua 94,911 million SLC compare
- 101 Austria 89,836 million SLC compare
- 103 New Zealand 77,625 million SLC compare
- 104 Mauritania 75,658 million SLC compare
- 105 Ireland 70,118 million SLC compare
More economy & growth data for Bhutan
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 4.5 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 5.11 Percent per annum (2029)
- GDP (current US$), annual growth rate 6.95 % change on previous year (2025)
- GDP (current US$), per capita 4,493 current US$ per person (2025)
- GDP (current LCU), annual growth rate 11.41 % change on previous year (2025)
- GDP (current LCU), per unit of GDP 87.16 current LCU per US$ of GDP (2025)
- GDP (current LCU), per capita 391,584 current LCU per person (2025)
- GDP (constant 2015 US$), annual growth rate 8.01 % change on previous year (2025)
- GDP (constant 2015 US$), per unit of GDP 0.8878 constant 2015 US$ per US$ of GDP (2025)
- GDP (constant 2015 US$), per capita 3,989 constant 2015 US$ per person (2025)
Frequently asked questions
- What is gross fixed capital formation — value standard local currency, 2015 in Bhutan?
- Gross fixed capital formation — value standard local currency, 2015 in Bhutan was 88,428 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross fixed capital formation — value standard local currency, 2015 recorded in Bhutan?
- The highest recorded value was 96,408 million SLC in 2022.
- What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Bhutan?
- The lowest recorded value was 3,067 million SLC in 1970.
- How does Bhutan rank for gross fixed capital formation — value standard local currency, 2015?
- Bhutan ranks 102nd out of 194 countries with data for 2024.
- Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Bhutan?
- Over the last ten years it is up 25.5%. 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 Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).