Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Myanmar
Myanmar: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 26.39 million million SLC in 2024. ◆ Volatile
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Myanmar, 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 Myanmar is 26.39 million million SLC, measured in 2024.
Compared with earlier readings it is up 4.1% on the previous year and up 22.5% over ten years.
Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Myanmar peaked at 27.14 million million SLC in 2017 and was at its lowest, 145,401 million SLC, in 1974.
Myanmar ranks 13th of 194 countries on this measure, in the top 10%.
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 Myanmar, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 213,008 million SLC | — |
| 1971 | 206,967 million SLC | -2.8% |
| 1972 | 194,750 million SLC | -5.9% |
| 1973 | 163,522 million SLC | -16.0% |
| 1974 | 145,401 million SLC | -11.1% |
| 1975 | 150,656 million SLC | +3.6% |
| 1976 | 179,787 million SLC | +19.3% |
| 1977 | 266,518 million SLC | +48.2% |
| 1978 | 345,034 million SLC | +29.5% |
| 1979 | 411,000 million SLC | +19.1% |
| 1980 | 402,021 million SLC | -2.2% |
| 1981 | 457,274 million SLC | +13.7% |
| 1982 | 519,260 million SLC | +13.6% |
| 1983 | 466,406 million SLC | -10.2% |
| 1984 | 435,999 million SLC | -6.5% |
| 1985 | 441,254 million SLC | +1.2% |
| 1986 | 422,020 million SLC | -4.4% |
| 1987 | 385,491 million SLC | -8.7% |
| 1988 | 275,446 million SLC | -28.5% |
| 1989 | 329,168 million SLC | +19.5% |
| 1990 | 451,611 million SLC | +37.2% |
| 1991 | 468,753 million SLC | +3.8% |
| 1992 | 471,916 million SLC | +0.7% |
| 1993 | 522,168 million SLC | +10.6% |
| 1994 | 644,866 million SLC | +23.5% |
| 1995 | 826,541 million SLC | +28.2% |
| 1996 | 1.01 million million SLC | +22.8% |
| 1997 | 1.09 million million SLC | +7.7% |
| 1998 | 1.20 million million SLC | +10.1% |
| 1999 | 1.34 million million SLC | +11.0% |
| 2000 | 1.48 million million SLC | +11.2% |
| 2001 | 1.62 million million SLC | +9.2% |
| 2002 | 1.72 million million SLC | +6.1% |
| 2003 | 2.21 million million SLC | +28.7% |
| 2004 | 2.70 million million SLC | +21.7% |
| 2005 | 3.49 million million SLC | +29.7% |
| 2006 | 4.35 million million SLC | +24.6% |
| 2007 | 5.54 million million SLC | +27.2% |
| 2008 | 6.63 million million SLC | +19.6% |
| 2009 | 8.93 million million SLC | +34.8% |
| 2010 | 11.82 million million SLC | +32.4% |
| 2011 | 15.89 million million SLC | +34.4% |
| 2012 | 17.47 million million SLC | +10.0% |
| 2013 | 19.98 million million SLC | +14.4% |
| 2014 | 21.55 million million SLC | +7.8% |
| 2015 | 25.15 million million SLC | +16.7% |
| 2016 | 24.33 million million SLC | -3.3% |
| 2017 | 27.14 million million SLC | +11.6% |
| 2018 | 26.20 million million SLC | -3.5% |
| 2019 | 26.97 million million SLC | +2.9% |
| 2020 | 25.04 million million SLC | -7.2% |
| 2021 | 25.02 million million SLC | -0.1% |
| 2022 | 24.73 million million SLC | -1.1% |
| 2023 | 25.36 million million SLC | +2.5% |
| 2024 | 26.39 million million SLC | +4.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 227,664 million SLC | 145,401 million SLC | 411,000 million SLC | 10 |
| 1980s | 413,434 million SLC | 275,446 million SLC | 519,260 million SLC | 10 |
| 1990s | 803,144 million SLC | 451,611 million SLC | 1.34 million million SLC | 10 |
| 2000s | 3.87 million million SLC | 1.48 million million SLC | 8.93 million million SLC | 10 |
| 2010s | 21.65 million million SLC | 11.82 million million SLC | 27.14 million million SLC | 10 |
| 2020s | 25.31 million million SLC | 24.73 million million SLC | 26.39 million million SLC | 5 |
Countries ranked near Myanmar
More economy & growth data for Myanmar
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 1.44 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 2.01 Percent per annum (2029)
- GNI, Atlas method (current US$), annual growth rate 9.65 % change on previous year (2025)
- GNI, Atlas method (current US$), per unit of GDP 0.8853 current US$ per US$ of GDP (2025)
- GNI, Atlas method (current US$), per capita 1,318 current US$ per person (2025)
- GNI (current US$), annual growth rate 10.02 % change on previous year (2025)
- GNI (current US$), per unit of GDP 0.9795 current US$ per US$ of GDP (2025)
- GNI (current US$), per capita 1,458 current US$ per person (2025)
- GNI (current LCU), annual growth rate 10.02 % change on previous year (2025)
- GNI (current LCU), per unit of GDP 2,057 current LCU per US$ of GDP (2025)
Frequently asked questions
- What is gross fixed capital formation — value standard local currency, 2015 in Myanmar?
- Gross fixed capital formation — value standard local currency, 2015 in Myanmar was 26.39 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 Myanmar?
- The highest recorded value was 27.14 million million SLC in 2017.
- What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Myanmar?
- The lowest recorded value was 145,401 million SLC in 1974.
- How does Myanmar rank for gross fixed capital formation — value standard local currency, 2015?
- Myanmar ranks 13th out of 194 countries with data for 2024.
- Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Myanmar?
- Over the last ten years it is up 22.5%. The long-run trend across the full record is volatile.
- Where does this Myanmar 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.
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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).