Gross Domestic Product — Value Standard Local Currency, 2015 prices in Singapore
Singapore: Gross Domestic Product — Value Standard Local Currency, 2015 prices was 555,615 million SLC in 2024. ◆ Volatile
Gross Domestic Product — Value Standard Local Currency, 2015 prices in Singapore, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Singapore recorded 555,615 million SLC for gross domestic product — value standard local currency, 2015 prices in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 4.4% on the previous year and up 35.1% over ten years.
Over the whole period, gross domestic product — value standard local currency, 2015 prices in Singapore peaked at 555,615 million SLC in 2024 and was at its lowest, 19,957 million SLC, in 1970.
That places Singapore 99th out of 194 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Gross Domestic Product — Value Standard Local Currency, 2015 prices in Singapore, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 19,957 million SLC | — |
| 1971 | 22,434 million SLC | +12.4% |
| 1972 | 25,421 million SLC | +13.3% |
| 1973 | 28,116 million SLC | +10.6% |
| 1974 | 29,836 million SLC | +6.1% |
| 1975 | 31,027 million SLC | +4.0% |
| 1976 | 33,334 million SLC | +7.4% |
| 1977 | 35,618 million SLC | +6.9% |
| 1978 | 38,388 million SLC | +7.8% |
| 1979 | 42,056 million SLC | +9.6% |
| 1980 | 46,310 million SLC | +10.1% |
| 1981 | 51,318 million SLC | +10.8% |
| 1982 | 54,963 million SLC | +7.1% |
| 1983 | 59,665 million SLC | +8.6% |
| 1984 | 64,911 million SLC | +8.8% |
| 1985 | 64,506 million SLC | -0.6% |
| 1986 | 65,373 million SLC | +1.3% |
| 1987 | 72,432 million SLC | +10.8% |
| 1988 | 80,590 million SLC | +11.3% |
| 1989 | 88,777 million SLC | +10.2% |
| 1990 | 97,496 million SLC | +9.8% |
| 1991 | 104,017 million SLC | +6.7% |
| 1992 | 110,923 million SLC | +6.6% |
| 1993 | 123,634 million SLC | +11.5% |
| 1994 | 137,353 million SLC | +11.1% |
| 1995 | 147,208 million SLC | +7.2% |
| 1996 | 158,207 million SLC | +7.5% |
| 1997 | 171,364 million SLC | +8.3% |
| 1998 | 167,609 million SLC | -2.2% |
| 1999 | 177,193 million SLC | +5.7% |
| 2000 | 193,209 million SLC | +9.0% |
| 2001 | 191,140 million SLC | -1.1% |
| 2002 | 198,639 million SLC | +3.9% |
| 2003 | 207,673 million SLC | +4.5% |
| 2004 | 228,316 million SLC | +9.9% |
| 2005 | 245,135 million SLC | +7.4% |
| 2006 | 267,213 million SLC | +9.0% |
| 2007 | 291,320 million SLC | +9.0% |
| 2008 | 296,749 million SLC | +1.9% |
| 2009 | 297,128 million SLC | +0.1% |
| 2010 | 340,271 million SLC | +14.5% |
| 2011 | 361,418 million SLC | +6.2% |
| 2012 | 377,449 million SLC | +4.4% |
| 2013 | 395,633 million SLC | +4.8% |
| 2014 | 411,203 million SLC | +3.9% |
| 2015 | 423,444 million SLC | +3.0% |
| 2016 | 438,640 million SLC | +3.6% |
| 2017 | 458,436 million SLC | +4.5% |
| 2018 | 474,559 million SLC | +3.5% |
| 2019 | 480,942 million SLC | +1.3% |
| 2020 | 462,331 million SLC | -3.9% |
| 2021 | 507,134 million SLC | +9.7% |
| 2022 | 526,598 million SLC | +3.8% |
| 2023 | 532,260 million SLC | +1.1% |
| 2024 | 555,615 million SLC | +4.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 30,619 million SLC | 19,957 million SLC | 42,056 million SLC | 10 |
| 1980s | 64,884 million SLC | 46,310 million SLC | 88,777 million SLC | 10 |
| 1990s | 139,500 million SLC | 97,496 million SLC | 177,193 million SLC | 10 |
| 2000s | 241,652 million SLC | 191,140 million SLC | 297,128 million SLC | 10 |
| 2010s | 416,200 million SLC | 340,271 million SLC | 480,942 million SLC | 10 |
| 2020s | 516,788 million SLC | 462,331 million SLC | 555,615 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)
- Exports of goods and services (current LCU), annual growth rate 5.03 % change on previous year (2025)
- Exports of goods and services (current LCU), per unit of GDP 2.33 current LCU per US$ of GDP (2025)
- Exports of goods and services (current LCU), per capita 229,774 current LCU per person (2025)
- Exports of goods and services (constant 2015 US$), annual growth rate 10.79 % change on previous year (2025)
- Exports of goods and services (constant 2015 US$), per unit of GDP 1.47 constant 2015 US$ per US$ of GDP (2025)
- Exports of goods and services (constant 2015 US$), per capita 145,218 constant 2015 US$ per person (2025)
- Gross fixed capital formation (current US$), annual growth rate 10.66 % change on previous year (2025)
- Gross fixed capital formation (current US$), per unit of GDP 0.2208 current US$ per US$ of GDP (2025)
Frequently asked questions
- What is gross domestic product — value standard local currency, 2015 prices in Singapore?
- Gross domestic product — value standard local currency, 2015 prices in Singapore was 555,615 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross domestic product — value standard local currency, 2015 prices recorded in Singapore?
- The highest recorded value was 555,615 million SLC in 2024.
- What is the lowest gross domestic product — value standard local currency, 2015 prices recorded in Singapore?
- The lowest recorded value was 19,957 million SLC in 1970.
- How does Singapore rank for gross domestic product — value standard local currency, 2015 prices?
- Singapore ranks 99th out of 194 countries with data for 2024.
- Is gross domestic product — value standard local currency, 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 Standard Local Currency, 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).