Gross Domestic Product — Value US$, 2015 prices in Singapore
Singapore: Gross Domestic Product — Value US$, 2015 prices was 404,135 million USD in 2024. ◆ Volatile
Gross Domestic Product — Value US$, 2015 prices in Singapore, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for gross domestic product — value us$, 2015 prices in Singapore is 404,135 million USD, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 4.4% on the previous year and up 35.1% over ten years.
Over the whole period, gross domestic product — value us$, 2015 prices in Singapore peaked at 404,135 million USD in 2024 and was at its lowest, 14,516 million USD, in 1970.
Singapore ranks 36th of 203 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Gross Domestic Product — Value US$, 2015 prices in Singapore, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 14,516 million USD | — |
| 1971 | 16,318 million USD | +12.4% |
| 1972 | 18,490 million USD | +13.3% |
| 1973 | 20,451 million USD | +10.6% |
| 1974 | 21,702 million USD | +6.1% |
| 1975 | 22,568 million USD | +4.0% |
| 1976 | 24,246 million USD | +7.4% |
| 1977 | 25,908 million USD | +6.9% |
| 1978 | 27,922 million USD | +7.8% |
| 1979 | 30,590 million USD | +9.6% |
| 1980 | 33,684 million USD | +10.1% |
| 1981 | 37,327 million USD | +10.8% |
| 1982 | 39,978 million USD | +7.1% |
| 1983 | 43,398 million USD | +8.6% |
| 1984 | 47,214 million USD | +8.8% |
| 1985 | 46,920 million USD | -0.6% |
| 1986 | 47,550 million USD | +1.3% |
| 1987 | 52,684 million USD | +10.8% |
| 1988 | 58,618 million USD | +11.3% |
| 1989 | 64,573 million USD | +10.2% |
| 1990 | 70,915 million USD | +9.8% |
| 1991 | 75,658 million USD | +6.7% |
| 1992 | 80,682 million USD | +6.6% |
| 1993 | 89,927 million USD | +11.5% |
| 1994 | 99,906 million USD | +11.1% |
| 1995 | 107,074 million USD | +7.2% |
| 1996 | 115,074 million USD | +7.5% |
| 1997 | 124,644 million USD | +8.3% |
| 1998 | 121,913 million USD | -2.2% |
| 1999 | 128,884 million USD | +5.7% |
| 2000 | 140,533 million USD | +9.0% |
| 2001 | 139,028 million USD | -1.1% |
| 2002 | 144,483 million USD | +3.9% |
| 2003 | 151,054 million USD | +4.5% |
| 2004 | 166,069 million USD | +9.9% |
| 2005 | 178,302 million USD | +7.4% |
| 2006 | 194,362 million USD | +9.0% |
| 2007 | 211,896 million USD | +9.0% |
| 2008 | 215,845 million USD | +1.9% |
| 2009 | 216,121 million USD | +0.1% |
| 2010 | 247,501 million USD | +14.5% |
| 2011 | 262,883 million USD | +6.2% |
| 2012 | 274,543 million USD | +4.4% |
| 2013 | 287,770 million USD | +4.8% |
| 2014 | 299,095 million USD | +3.9% |
| 2015 | 307,999 million USD | +3.0% |
| 2016 | 319,052 million USD | +3.6% |
| 2017 | 333,450 million USD | +4.5% |
| 2018 | 345,178 million USD | +3.5% |
| 2019 | 349,821 million USD | +1.3% |
| 2020 | 336,283 million USD | -3.9% |
| 2021 | 368,872 million USD | +9.7% |
| 2022 | 383,029 million USD | +3.8% |
| 2023 | 387,147 million USD | +1.1% |
| 2024 | 404,135 million USD | +4.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 22,271 million USD | 14,516 million USD | 30,590 million USD | 10 |
| 1980s | 47,195 million USD | 33,684 million USD | 64,573 million USD | 10 |
| 1990s | 101,468 million USD | 70,915 million USD | 128,884 million USD | 10 |
| 2000s | 175,769 million USD | 139,028 million USD | 216,121 million USD | 10 |
| 2010s | 302,729 million USD | 247,501 million USD | 349,821 million USD | 10 |
| 2020s | 375,893 million USD | 336,283 million USD | 404,135 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)
- Services, value added (constant LCU), per capita 66,946 constant LCU per person (2025)
- GDP deflator (base year varies by country), annual growth rate -1.8 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current US$), annual growth 5.03 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current US$), per unit of GDP 0.9429 current US$ per US$ of GDP (2025)
- Gross value added at basic prices (GVA) (current US$), per capita 93,169 current US$ per person (2025)
- Gross value added at basic prices (GVA) (current LCU), annual growth 2.77 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current LCU), per unit of GDP 1.23 current LCU per US$ of GDP (2025)
- Gross value added at basic prices (GVA) (current LCU), per capita 121,813 current LCU per person (2025)
Frequently asked questions
- What is gross domestic product — value us$, 2015 prices in Singapore?
- Gross domestic product — value us$, 2015 prices in Singapore was 404,135 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross domestic product — value us$, 2015 prices recorded in Singapore?
- The highest recorded value was 404,135 million USD in 2024.
- What is the lowest gross domestic product — value us$, 2015 prices recorded in Singapore?
- The lowest recorded value was 14,516 million USD in 1970.
- How does Singapore rank for gross domestic product — value us$, 2015 prices?
- Singapore ranks 36th out of 203 countries with data for 2024.
- Is gross domestic product — value us$, 2015 prices rising or falling in Singapore?
- Over the last ten years it is up 35.1%. 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 Domestic Product — Value US$, 2015 prices. 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).