Gross Fixed Capital Formation — Value US$ (US Value) in Singapore
Singapore: Gross Fixed Capital Formation — Value US$ was 117,825 million USD in 2024. ◆ Volatile
Gross Fixed Capital Formation — Value US$ in Singapore, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for gross fixed capital formation — value us$ in Singapore is 117,825 million USD, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 5.9% on the previous year and up 33.0% over ten years.
Over the whole period, gross fixed capital formation — value us$ in Singapore peaked at 117,825 million USD in 2024 and was at its lowest, 616.91 million USD, in 1970.
Singapore ranks 35th of 235 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Gross Fixed Capital Formation — Value US$ in Singapore, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 616.91 million USD | — |
| 1971 | 821.91 million USD | +33.2% |
| 1972 | 1,100 million USD | +33.8% |
| 1973 | 1,468 million USD | +33.5% |
| 1974 | 1,975 million USD | +34.6% |
| 1975 | 2,020 million USD | +2.3% |
| 1976 | 2,124 million USD | +5.1% |
| 1977 | 2,223 million USD | +4.7% |
| 1978 | 2,793 million USD | +25.6% |
| 1979 | 3,460 million USD | +23.9% |
| 1980 | 4,775 million USD | +38.0% |
| 1981 | 6,054 million USD | +26.8% |
| 1982 | 7,276 million USD | +20.2% |
| 1983 | 8,304 million USD | +14.1% |
| 1984 | 9,042 million USD | +8.9% |
| 1985 | 7,576 million USD | -16.2% |
| 1986 | 6,597 million USD | -12.9% |
| 1987 | 7,000 million USD | +6.1% |
| 1988 | 8,044 million USD | +14.9% |
| 1989 | 9,959 million USD | +23.8% |
| 1990 | 12,337 million USD | +23.9% |
| 1991 | 15,069 million USD | +22.1% |
| 1992 | 18,349 million USD | +21.8% |
| 1993 | 20,996 million USD | +14.4% |
| 1994 | 24,580 million USD | +17.1% |
| 1995 | 29,142 million USD | +18.6% |
| 1996 | 36,472 million USD | +25.2% |
| 1997 | 38,481 million USD | +5.5% |
| 1998 | 32,591 million USD | -15.3% |
| 1999 | 29,832 million USD | -8.5% |
| 2000 | 31,058 million USD | +4.1% |
| 2001 | 27,735 million USD | -10.7% |
| 2002 | 24,755 million USD | -10.7% |
| 2003 | 24,183 million USD | -2.3% |
| 2004 | 27,932 million USD | +15.5% |
| 2005 | 29,636 million USD | +6.1% |
| 2006 | 34,313 million USD | +15.8% |
| 2007 | 44,106 million USD | +28.5% |
| 2008 | 54,172 million USD | +22.8% |
| 2009 | 55,988 million USD | +3.4% |
| 2010 | 61,318 million USD | +9.5% |
| 2011 | 70,579 million USD | +15.1% |
| 2012 | 77,993 million USD | +10.5% |
| 2013 | 84,732 million USD | +8.6% |
| 2014 | 88,566 million USD | +4.5% |
| 2015 | 83,844 million USD | -5.3% |
| 2016 | 82,920 million USD | -1.1% |
| 2017 | 86,636 million USD | +4.5% |
| 2018 | 84,446 million USD | -2.5% |
| 2019 | 86,092 million USD | +1.9% |
| 2020 | 73,153 million USD | -15.0% |
| 2021 | 96,569 million USD | +32.0% |
| 2022 | 103,271 million USD | +6.9% |
| 2023 | 111,270 million USD | +7.7% |
| 2024 | 117,825 million USD | +5.9% |
Singapore compared with similar countries
- Singapore's 117,825 million USD is above the median for high income countries, which is 20,129 million USD, 5.9× the median. (73 countries reporting)
- Singapore's 117,825 million USD is above the median for East Asia & Pacific, which is 3,348 million USD, 35.2× the median. (28 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,860 million USD | 616.91 million USD | 3,460 million USD | 10 |
| 1980s | 7,463 million USD | 4,775 million USD | 9,959 million USD | 10 |
| 1990s | 25,785 million USD | 12,337 million USD | 38,481 million USD | 10 |
| 2000s | 35,388 million USD | 24,183 million USD | 55,988 million USD | 10 |
| 2010s | 80,713 million USD | 61,318 million USD | 88,566 million USD | 10 |
| 2020s | 100,418 million USD | 73,153 million USD | 117,825 million USD | 5 |
Countries ranked near Singapore
More economy & growth data for Singapore
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 1.99 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 2.5 Percent per annum (2029)
- SDRs holdings, US dollar, annual growth rate 5.49 % change on previous year (2025)
- SDRs holdings, US dollar, per unit of GDP 0.0108 units per US$ of GDP (2025)
- SDRs holdings, US dollar, per capita 1,066 units per person (2025)
- SDRs holdings, SDR, annual growth rate 0.451 % change on previous year (2025)
- SDRs holdings, SDR, per unit of GDP 0.0079 units per US$ of GDP (2025)
- SDRs holdings, SDR, per capita 778.55 units per person (2025)
- IMF holdings of currency, US dollar, annual growth rate 3.63 % change on previous year (2025)
- IMF holdings of currency, US dollar, per unit of GDP 0.0065 units per US$ of GDP (2025)
Frequently asked questions
- What is gross fixed capital formation — value us$ in Singapore?
- Gross fixed capital formation — value us$ in Singapore was 117,825 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross fixed capital formation — value us$ recorded in Singapore?
- The highest recorded value was 117,825 million USD in 2024.
- What is the lowest gross fixed capital formation — value us$ recorded in Singapore?
- The lowest recorded value was 616.91 million USD in 1970.
- How does Singapore rank for gross fixed capital formation — value us$?
- Singapore ranks 35th out of 235 countries with data for 2024.
- Is gross fixed capital formation — value us$ rising or falling in Singapore?
- Over the last ten years it is up 33.0%. The long-run trend across the full record is volatile.
- Where does this Singapore data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Fixed Capital Formation — Value US$. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).