Gross Fixed Capital Formation — Value Standard Local Currency in Singapore
Singapore: Gross Fixed Capital Formation — Value Standard Local Currency was 157,442 million SLC in 2024. ◆ Volatile
Gross Fixed Capital Formation — Value Standard Local Currency in Singapore, 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 in Singapore stood at 157,442 million SLC. That is the highest value across all 55 years on record.
The figure is up 5.4% on the previous year and up 40.3% over ten years.
Over the whole period, gross fixed capital formation — value standard local currency in Singapore peaked at 157,442 million SLC in 2024 and was at its lowest, 1,888 million SLC, in 1970.
Singapore ranks 101st of 202 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 in Singapore, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 1,888 million SLC | — |
| 1971 | 2,507 million SLC | +32.8% |
| 1972 | 3,093 million SLC | +23.3% |
| 1973 | 3,606 million SLC | +16.6% |
| 1974 | 4,813 million SLC | +33.4% |
| 1975 | 4,790 million SLC | -0.5% |
| 1976 | 5,247 million SLC | +9.5% |
| 1977 | 5,422 million SLC | +3.3% |
| 1978 | 6,350 million SLC | +17.1% |
| 1979 | 7,524 million SLC | +18.5% |
| 1980 | 10,224 million SLC | +35.9% |
| 1981 | 12,790 million SLC | +25.1% |
| 1982 | 15,570 million SLC | +21.7% |
| 1983 | 17,547 million SLC | +12.7% |
| 1984 | 19,288 million SLC | +9.9% |
| 1985 | 16,668 million SLC | -13.6% |
| 1986 | 14,365 million SLC | -13.8% |
| 1987 | 14,741 million SLC | +2.6% |
| 1988 | 16,188 million SLC | +9.8% |
| 1989 | 19,423 million SLC | +20.0% |
| 1990 | 22,362 million SLC | +15.1% |
| 1991 | 26,033 million SLC | +16.4% |
| 1992 | 29,891 million SLC | +14.8% |
| 1993 | 33,925 million SLC | +13.5% |
| 1994 | 37,544 million SLC | +10.7% |
| 1995 | 41,305 million SLC | +10.0% |
| 1996 | 51,428 million SLC | +24.5% |
| 1997 | 57,136 million SLC | +11.1% |
| 1998 | 54,544 million SLC | -4.5% |
| 1999 | 50,565 million SLC | -7.3% |
| 2000 | 53,543 million SLC | +5.9% |
| 2001 | 49,693 million SLC | -7.2% |
| 2002 | 44,327 million SLC | -10.8% |
| 2003 | 42,132 million SLC | -5.0% |
| 2004 | 47,211 million SLC | +12.1% |
| 2005 | 49,326 million SLC | +4.5% |
| 2006 | 54,521 million SLC | +10.5% |
| 2007 | 66,472 million SLC | +21.9% |
| 2008 | 76,646 million SLC | +15.3% |
| 2009 | 81,435 million SLC | +6.2% |
| 2010 | 83,608 million SLC | +2.7% |
| 2011 | 88,773 million SLC | +6.2% |
| 2012 | 97,466 million SLC | +9.8% |
| 2013 | 106,025 million SLC | +8.8% |
| 2014 | 112,217 million SLC | +5.8% |
| 2015 | 115,271 million SLC | +2.7% |
| 2016 | 114,558 million SLC | -0.6% |
| 2017 | 119,638 million SLC | +4.4% |
| 2018 | 113,905 million SLC | -4.8% |
| 2019 | 117,443 million SLC | +3.1% |
| 2020 | 100,933 million SLC | -14.1% |
| 2021 | 129,739 million SLC | +28.5% |
| 2022 | 142,376 million SLC | +9.7% |
| 2023 | 149,410 million SLC | +4.9% |
| 2024 | 157,442 million SLC | +5.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 4,524 million SLC | 1,888 million SLC | 7,524 million SLC | 10 |
| 1980s | 15,680 million SLC | 10,224 million SLC | 19,423 million SLC | 10 |
| 1990s | 40,473 million SLC | 22,362 million SLC | 57,136 million SLC | 10 |
| 2000s | 56,531 million SLC | 42,132 million SLC | 81,435 million SLC | 10 |
| 2010s | 106,890 million SLC | 83,608 million SLC | 119,638 million SLC | 10 |
| 2020s | 135,980 million SLC | 100,933 million SLC | 157,442 million SLC | 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)
- GNI, Atlas method (current US$), annual growth rate 9.16 % change on previous year (2025)
- GNI, Atlas method (current US$), per unit of GDP 0.8274 current US$ per US$ of GDP (2025)
- GNI, Atlas method (current US$), per capita 81,755 current US$ per person (2025)
- GNI (current US$), annual growth rate 5.96 % change on previous year (2025)
- GNI (current US$), per unit of GDP 0.831 current US$ per US$ of GDP (2025)
- GNI (current US$), per capita 82,118 current US$ per person (2025)
- GNI (current LCU), annual growth rate 3.67 % change on previous year (2025)
- GNI (current LCU), per unit of GDP 1.09 current LCU per US$ of GDP (2025)
Frequently asked questions
- What is gross fixed capital formation — value standard local currency in Singapore?
- Gross fixed capital formation — value standard local currency in Singapore was 157,442 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 recorded in Singapore?
- The highest recorded value was 157,442 million SLC in 2024.
- What is the lowest gross fixed capital formation — value standard local currency recorded in Singapore?
- The lowest recorded value was 1,888 million SLC in 1970.
- How does Singapore rank for gross fixed capital formation — value standard local currency?
- Singapore ranks 101st out of 202 countries with data for 2024.
- Is gross fixed capital formation — value standard local currency rising or falling in Singapore?
- Over the last ten years it is up 40.3%. 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 Standard Local Currency. 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).