Gross Domestic Product — Value US$ in Singapore
Singapore: Gross Domestic Product — Value US$ was 543,042 million USD in 2024. ◆ Volatile
Gross Domestic Product — Value US$ in Singapore, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Singapore recorded 543,042 million USD for gross domestic product — value us$ in 2024. That is the highest value across all 55 years on record.
The figure is up 8.3% on the previous year and up 72.5% over ten years.
Over the whole period, gross domestic product — value us$ in Singapore peaked at 543,042 million USD in 2024 and was at its lowest, 1,921 million USD, in 1970.
That places Singapore 26th out of 203 countries with data for 2024, putting it 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$ in Singapore, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 1,921 million USD | — |
| 1971 | 2,272 million USD | +18.3% |
| 1972 | 2,952 million USD | +30.0% |
| 1973 | 4,230 million USD | +43.3% |
| 1974 | 5,266 million USD | +24.5% |
| 1975 | 5,790 million USD | +10.0% |
| 1976 | 6,072 million USD | +4.9% |
| 1977 | 6,704 million USD | +10.4% |
| 1978 | 8,064 million USD | +20.3% |
| 1979 | 9,722 million USD | +20.6% |
| 1980 | 12,082 million USD | +24.3% |
| 1981 | 14,366 million USD | +18.9% |
| 1982 | 15,879 million USD | +10.5% |
| 1983 | 18,011 million USD | +13.4% |
| 1984 | 19,563 million USD | +8.6% |
| 1985 | 18,573 million USD | -5.1% |
| 1986 | 18,780 million USD | +1.1% |
| 1987 | 21,629 million USD | +15.2% |
| 1988 | 26,551 million USD | +22.8% |
| 1989 | 31,436 million USD | +18.4% |
| 1990 | 38,892 million USD | +23.7% |
| 1991 | 45,465 million USD | +16.9% |
| 1992 | 52,131 million USD | +14.7% |
| 1993 | 60,604 million USD | +16.3% |
| 1994 | 73,689 million USD | +21.6% |
| 1995 | 87,812 million USD | +19.2% |
| 1996 | 96,293 million USD | +9.7% |
| 1997 | 100,124 million USD | +4.0% |
| 1998 | 85,728 million USD | -14.4% |
| 1999 | 86,287 million USD | +0.7% |
| 2000 | 96,076 million USD | +11.3% |
| 2001 | 89,794 million USD | -6.5% |
| 2002 | 92,538 million USD | +3.1% |
| 2003 | 97,646 million USD | +5.5% |
| 2004 | 115,034 million USD | +17.8% |
| 2005 | 127,808 million USD | +11.1% |
| 2006 | 148,627 million USD | +16.3% |
| 2007 | 180,942 million USD | +21.7% |
| 2008 | 193,617 million USD | +7.0% |
| 2009 | 194,150 million USD | +0.3% |
| 2010 | 239,808 million USD | +23.5% |
| 2011 | 279,357 million USD | +16.5% |
| 2012 | 295,093 million USD | +5.6% |
| 2013 | 307,576 million USD | +4.2% |
| 2014 | 314,864 million USD | +2.4% |
| 2015 | 307,999 million USD | -2.2% |
| 2016 | 319,054 million USD | +3.6% |
| 2017 | 343,257 million USD | +7.6% |
| 2018 | 376,893 million USD | +9.8% |
| 2019 | 376,902 million USD | +0.0% |
| 2020 | 349,488 million USD | -7.3% |
| 2021 | 434,111 million USD | +24.2% |
| 2022 | 498,475 million USD | +14.8% |
| 2023 | 501,428 million USD | +0.6% |
| 2024 | 543,042 million USD | +8.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 5,299 million USD | 1,921 million USD | 9,722 million USD | 10 |
| 1980s | 19,687 million USD | 12,082 million USD | 31,436 million USD | 10 |
| 1990s | 72,702 million USD | 38,892 million USD | 100,124 million USD | 10 |
| 2000s | 133,623 million USD | 89,794 million USD | 194,150 million USD | 10 |
| 2010s | 316,080 million USD | 239,808 million USD | 376,902 million USD | 10 |
| 2020s | 465,309 million USD | 349,488 million USD | 543,042 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)
- Gross domestic savings (current US$), annual growth rate 4.34 % change on previous year (2025)
- Gross domestic savings (current US$), per unit of GDP 0.5866 current US$ per US$ of GDP (2025)
- Gross domestic savings (current US$), per capita 57,964 current US$ per person (2025)
- Gross domestic savings (current LCU), annual growth rate 2.09 % change on previous year (2025)
- Gross domestic savings (current LCU), per unit of GDP 0.7669 current LCU per US$ of GDP (2025)
- Gross domestic savings (current LCU), per capita 75,784 current LCU per person (2025)
- 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)
Frequently asked questions
- What is gross domestic product — value us$ in Singapore?
- Gross domestic product — value us$ in Singapore was 543,042 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross domestic product — value us$ recorded in Singapore?
- The highest recorded value was 543,042 million USD in 2024.
- What is the lowest gross domestic product — value us$ recorded in Singapore?
- The lowest recorded value was 1,921 million USD in 1970.
- How does Singapore rank for gross domestic product — value us$?
- Singapore ranks 26th out of 203 countries with data for 2024.
- Is gross domestic product — value us$ rising or falling in Singapore?
- Over the last ten years it is up 72.5%. 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$. 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).