Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Nepal
Nepal: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 1.03 million million SLC in 2024. ◆ Volatile
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Nepal, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for gross fixed capital formation — value standard local currency, 2015 in Nepal is 1.03 million million SLC, measured in 2024.
Compared with earlier readings it is up 2.0% on the previous year and up 77.9% over ten years.
Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Nepal peaked at 1.13 million million SLC in 2022 and was at its lowest, 21,490 million SLC, in 1970.
That places Nepal 52nd out of 194 countries with data for 2024, putting it 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 Nepal, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 21,490 million SLC | — |
| 1971 | 27,601 million SLC | +28.4% |
| 1972 | 26,905 million SLC | -2.5% |
| 1973 | 33,531 million SLC | +24.6% |
| 1974 | 34,030 million SLC | +1.5% |
| 1975 | 53,491 million SLC | +57.2% |
| 1976 | 58,467 million SLC | +9.3% |
| 1977 | 64,028 million SLC | +9.5% |
| 1978 | 74,742 million SLC | +16.7% |
| 1979 | 67,322 million SLC | -9.9% |
| 1980 | 70,575 million SLC | +4.8% |
| 1981 | 76,418 million SLC | +8.3% |
| 1982 | 88,776 million SLC | +16.2% |
| 1983 | 95,127 million SLC | +7.2% |
| 1984 | 93,928 million SLC | -1.3% |
| 1985 | 114,556 million SLC | +22.0% |
| 1986 | 104,413 million SLC | -8.9% |
| 1987 | 114,023 million SLC | +9.2% |
| 1988 | 125,399 million SLC | +10.0% |
| 1989 | 118,997 million SLC | -5.1% |
| 1990 | 110,769 million SLC | -6.9% |
| 1991 | 134,486 million SLC | +21.4% |
| 1992 | 145,874 million SLC | +8.5% |
| 1993 | 167,668 million SLC | +14.9% |
| 1994 | 180,370 million SLC | +7.6% |
| 1995 | 195,264 million SLC | +8.3% |
| 1996 | 209,986 million SLC | +7.5% |
| 1997 | 212,616 million SLC | +1.3% |
| 1998 | 219,458 million SLC | +3.2% |
| 1999 | 201,355 million SLC | -8.2% |
| 2000 | 216,351 million SLC | +7.4% |
| 2001 | 243,727 million SLC | +12.7% |
| 2002 | 250,098 million SLC | +2.6% |
| 2003 | 265,980 million SLC | +6.4% |
| 2004 | 281,486 million SLC | +5.8% |
| 2005 | 289,979 million SLC | +3.0% |
| 2006 | 330,135 million SLC | +13.8% |
| 2007 | 356,204 million SLC | +7.9% |
| 2008 | 371,799 million SLC | +4.4% |
| 2009 | 382,893 million SLC | +3.0% |
| 2010 | 457,583 million SLC | +19.5% |
| 2011 | 465,530 million SLC | +1.7% |
| 2012 | 474,532 million SLC | +1.9% |
| 2013 | 516,097 million SLC | +8.8% |
| 2014 | 580,729 million SLC | +12.5% |
| 2015 | 667,805 million SLC | +15.0% |
| 2016 | 710,459 million SLC | +6.4% |
| 2017 | 874,453 million SLC | +23.1% |
| 2018 | 977,737 million SLC | +11.8% |
| 2019 | 1.09 million million SLC | +11.3% |
| 2020 | 991,454 million SLC | -8.9% |
| 2021 | 1.09 million million SLC | +9.8% |
| 2022 | 1.13 million million SLC | +3.4% |
| 2023 | 1.01 million million SLC | -10.0% |
| 2024 | 1.03 million million SLC | +2.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 46,161 million SLC | 21,490 million SLC | 74,742 million SLC | 10 |
| 1980s | 100,221 million SLC | 70,575 million SLC | 125,399 million SLC | 10 |
| 1990s | 177,785 million SLC | 110,769 million SLC | 219,458 million SLC | 10 |
| 2000s | 298,865 million SLC | 216,351 million SLC | 382,893 million SLC | 10 |
| 2010s | 681,360 million SLC | 457,583 million SLC | 1.09 million million SLC | 10 |
| 2020s | 1.05 million million SLC | 991,454 million SLC | 1.13 million million SLC | 5 |
Countries ranked near Nepal
More economy & growth data for Nepal
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 4.28 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 5.25 Percent per annum (2029)
- GNI, Atlas method (current US$), annual growth rate 6 % change on previous year (2025)
- GNI, Atlas method (current US$), per unit of GDP 1.02 current US$ per US$ of GDP (2025)
- GNI, Atlas method (current US$), per capita 1,570 current US$ per person (2025)
- GNI (current US$), annual growth rate 4.68 % change on previous year (2025)
- GNI (current US$), per unit of GDP 1.01 current US$ per US$ of GDP (2025)
- GNI (current US$), per capita 1,555 current US$ per person (2025)
- GNI (current LCU), annual growth rate 7.24 % change on previous year (2025)
- GNI (current LCU), per unit of GDP 138.02 current LCU per US$ of GDP (2025)
Frequently asked questions
- What is gross fixed capital formation — value standard local currency, 2015 in Nepal?
- Gross fixed capital formation — value standard local currency, 2015 in Nepal was 1.03 million 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 Nepal?
- The highest recorded value was 1.13 million million SLC in 2022.
- What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Nepal?
- The lowest recorded value was 21,490 million SLC in 1970.
- How does Nepal rank for gross fixed capital formation — value standard local currency, 2015?
- Nepal ranks 52nd out of 194 countries with data for 2024.
- Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Nepal?
- Over the last ten years it is up 77.9%. The long-run trend across the full record is volatile.
- Where does this Nepal 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).