Gross National Income — Value US$ in Singapore
Singapore: Gross National Income — Value US$ was 420,675 million USD in 2023. ◆ Volatile
Gross National Income — Value US$ in Singapore, 1970–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2023, gross national income — value us$ in Singapore stood at 420,675 million USD. That is the highest value across all 54 years on record.
That represents a change of up 4.4% on the previous year and up 44.6% over ten years.
Over the whole period, gross national income — value us$ in Singapore peaked at 420,675 million USD in 2023 and was at its lowest, 1,939 million USD, in 1970.
That places Singapore 32nd out of 203 countries with data for 2023, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Gross National Income — Value US$ in Singapore, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 1,939 million USD | — |
| 1971 | 2,268 million USD | +17.0% |
| 1972 | 2,945 million USD | +29.8% |
| 1973 | 4,139 million USD | +40.6% |
| 1974 | 5,122 million USD | +23.7% |
| 1975 | 5,842 million USD | +14.1% |
| 1976 | 6,039 million USD | +3.4% |
| 1977 | 6,627 million USD | +9.7% |
| 1978 | 8,045 million USD | +21.4% |
| 1979 | 9,686 million USD | +20.4% |
| 1980 | 11,462 million USD | +18.3% |
| 1981 | 13,540 million USD | +18.1% |
| 1982 | 15,079 million USD | +11.4% |
| 1983 | 17,510 million USD | +16.1% |
| 1984 | 19,439 million USD | +11.0% |
| 1985 | 18,726 million USD | -3.7% |
| 1986 | 18,786 million USD | +0.3% |
| 1987 | 21,062 million USD | +12.1% |
| 1988 | 26,189 million USD | +24.3% |
| 1989 | 31,245 million USD | +19.3% |
| 1990 | 38,501 million USD | +23.2% |
| 1991 | 44,778 million USD | +16.3% |
| 1992 | 52,162 million USD | +16.5% |
| 1993 | 59,324 million USD | +13.7% |
| 1994 | 73,784 million USD | +24.4% |
| 1995 | 88,448 million USD | +19.9% |
| 1996 | 95,601 million USD | +8.1% |
| 1997 | 102,086 million USD | +6.8% |
| 1998 | 86,993 million USD | -14.8% |
| 1999 | 87,264 million USD | +0.3% |
| 2000 | 95,489 million USD | +9.4% |
| 2001 | 89,193 million USD | -6.6% |
| 2002 | 90,697 million USD | +1.7% |
| 2003 | 95,051 million USD | +4.8% |
| 2004 | 108,075 million USD | +13.7% |
| 2005 | 120,576 million USD | +11.6% |
| 2006 | 144,596 million USD | +19.9% |
| 2007 | 176,182 million USD | +21.8% |
| 2008 | 186,495 million USD | +5.9% |
| 2009 | 184,080 million USD | -1.3% |
| 2010 | 237,217 million USD | +28.9% |
| 2011 | 269,757 million USD | +13.7% |
| 2012 | 281,971 million USD | +4.5% |
| 2013 | 291,010 million USD | +3.2% |
| 2014 | 303,911 million USD | +4.4% |
| 2015 | 286,983 million USD | -5.6% |
| 2016 | 299,705 million USD | +4.4% |
| 2017 | 319,464 million USD | +6.6% |
| 2018 | 330,780 million USD | +3.5% |
| 2019 | 333,217 million USD | +0.7% |
| 2020 | 301,827 million USD | -9.4% |
| 2021 | 369,182 million USD | +22.3% |
| 2022 | 402,947 million USD | +9.1% |
| 2023 | 420,675 million USD | +4.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 5,265 million USD | 1,939 million USD | 9,686 million USD | 10 |
| 1980s | 19,304 million USD | 11,462 million USD | 31,245 million USD | 10 |
| 1990s | 72,894 million USD | 38,501 million USD | 102,086 million USD | 10 |
| 2000s | 129,043 million USD | 89,193 million USD | 186,495 million USD | 10 |
| 2010s | 295,402 million USD | 237,217 million USD | 333,217 million USD | 10 |
| 2020s | 373,658 million USD | 301,827 million USD | 420,675 million USD | 4 |
Countries ranked near Singapore
- 29 Norway 487,869 million USD compare
- 30 Philippines 485,155 million USD compare
- 31 Bangladesh 439,291 million USD compare
- 33 Ireland 419,912 million USD compare
- 34 Denmark 418,674 million USD compare
- 35 China, Hong Kong SAR 415,000 million USD compare
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)
- GDP (constant 2015 US$), annual growth rate 5.03 % change on previous year (2025)
- GDP (constant 2015 US$), per unit of GDP 0.7153 constant 2015 US$ per US$ of GDP (2025)
- GDP (constant 2015 US$), per capita 70,684 constant 2015 US$ per person (2025)
- GDP (constant LCU), annual growth rate 5.03 % change on previous year (2025)
- GDP (constant LCU), per unit of GDP 0.9834 constant LCU per US$ of GDP (2025)
- GDP (constant LCU), per capita 97,178 constant LCU per person (2025)
- 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)
Frequently asked questions
- What is gross national income — value us$ in Singapore?
- Gross national income — value us$ in Singapore was 420,675 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross national income — value us$ recorded in Singapore?
- The highest recorded value was 420,675 million USD in 2023.
- What is the lowest gross national income — value us$ recorded in Singapore?
- The lowest recorded value was 1,939 million USD in 1970.
- How does Singapore rank for gross national income — value us$?
- Singapore ranks 32nd out of 203 countries with data for 2023.
- Is gross national income — value us$ rising or falling in Singapore?
- Over the last ten years it is up 44.6%. 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 National Income — Value US$. Statizoid updates them automatically from the source API.
Download this data
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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).