Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Singapore

Singapore: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 132,460 million SLC in 2024. ◆ Volatile

Latest (2024)
132,460 million SLC
Change on year
up 2.9%
World rank
95th
of 194 countries
All-time high
132,460 million SLC
in 2024
All-time low
5,007 million SLC
in 1970
Years of data
55
1970–2024

Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Singapore, 1970–2024

050.0k100.0k150.0k197019972024

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 Singapore is 132,460 million SLC, measured in 2024. That is the highest value across all 55 years on record.

That represents a change of up 2.9% on the previous year and up 17.2% over ten years.

Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Singapore peaked at 132,460 million SLC in 2024 and was at its lowest, 5,007 million SLC, in 1970.

Singapore ranks 95th 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 Singapore, year by year

Annual values for Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices in Singapore, 1970 to 2024.
Year million SLC Change
1970 5,007 million SLC
1971 6,229 million SLC +24.4%
1972 7,148 million SLC +14.8%
1973 7,635 million SLC +6.8%
1974 8,456 million SLC +10.8%
1975 8,425 million SLC -0.4%
1976 8,862 million SLC +5.2%
1977 8,985 million SLC +1.4%
1978 10,145 million SLC +12.9%
1979 11,505 million SLC +13.4%
1980 13,882 million SLC +20.7%
1981 16,116 million SLC +16.1%
1982 19,506 million SLC +21.0%
1983 21,655 million SLC +11.0%
1984 23,777 million SLC +9.8%
1985 20,989 million SLC -11.7%
1986 18,407 million SLC -12.3%
1987 18,516 million SLC +0.6%
1988 19,572 million SLC +5.7%
1989 22,671 million SLC +15.8%
1990 25,224 million SLC +11.3%
1991 28,577 million SLC +13.3%
1992 31,994 million SLC +12.0%
1993 35,122 million SLC +9.8%
1994 38,600 million SLC +9.9%
1995 43,332 million SLC +12.3%
1996 53,781 million SLC +24.1%
1997 59,457 million SLC +10.6%
1998 56,471 million SLC -5.0%
1999 53,928 million SLC -4.5%
2000 60,084 million SLC +11.4%
2001 56,956 million SLC -5.2%
2002 51,742 million SLC -9.2%
2003 49,074 million SLC -5.2%
2004 54,126 million SLC +10.3%
2005 56,096 million SLC +3.6%
2006 61,390 million SLC +9.4%
2007 70,908 million SLC +15.5%
2008 78,535 million SLC +10.8%
2009 82,844 million SLC +5.5%
2010 88,437 million SLC +6.8%
2011 94,066 million SLC +6.4%
2012 102,184 million SLC +8.6%
2013 108,477 million SLC +6.2%
2014 113,055 million SLC +4.2%
2015 115,271 million SLC +2.0%
2016 115,884 million SLC +0.5%
2017 121,808 million SLC +5.1%
2018 115,777 million SLC -5.0%
2019 118,622 million SLC +2.5%
2020 101,824 million SLC -14.2%
2021 125,844 million SLC +23.6%
2022 128,967 million SLC +2.5%
2023 128,682 million SLC -0.2%
2024 132,460 million SLC +2.9%

Averages by decade

DecadeAverage LowestHighest Years
1970s 8,240 million SLC 5,007 million SLC 11,505 million SLC 10
1980s 19,509 million SLC 13,882 million SLC 23,777 million SLC 10
1990s 42,649 million SLC 25,224 million SLC 59,457 million SLC 10
2000s 62,175 million SLC 49,074 million SLC 82,844 million SLC 10
2010s 109,358 million SLC 88,437 million SLC 121,808 million SLC 10
2020s 123,555 million SLC 101,824 million SLC 132,460 million SLC 5

Countries ranked near Singapore

  1. 92 Peru 162,141 million SLC compare
  2. 93 Honduras 149,001 million SLC compare
  3. 94 French Polynesia 139,750 million SLC compare
  4. 96 Mauritius 116,224 million SLC compare
  5. 97 Belgium 115,580 million SLC compare
  6. 98 Guatemala 107,874 million SLC compare

See the full ranking of 209 places →

More economy & growth data for Singapore

All data for Singapore →

Frequently asked questions

What is gross fixed capital formation — value standard local currency, 2015 in Singapore?
Gross fixed capital formation — value standard local currency, 2015 in Singapore was 132,460 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 Singapore?
The highest recorded value was 132,460 million SLC in 2024.
What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Singapore?
The lowest recorded value was 5,007 million SLC in 1970.
How does Singapore rank for gross fixed capital formation — value standard local currency, 2015?
Singapore ranks 95th out of 194 countries with data for 2024.
Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Singapore?
Over the last ten years it is up 17.2%. 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, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Singapore. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 30 August 2026, from https://economy.statizoid.com/stat/gross-fixed-capital-formation-value-standard-local-currency-2015-prices/singapore/

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About this data

Indicator
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 10,794 data points, 1970–2024
Last refreshed

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).