Value Added (Total Manufacturing) — Value US$, 2015 prices in Singapore
Singapore: Value Added (Total Manufacturing) — Value US$, 2015 prices was 80,546 million USD in 2023. ◆ Volatile
Value Added (Total Manufacturing) — Value US$, 2015 prices in Singapore, 1970–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Singapore recorded 80,546 million USD for value added (total manufacturing) — value us$, 2015 prices in 2023.
The figure is down 4.3% on the previous year and up 40.8% over ten years.
Over the whole period, value added (total manufacturing) — value us$, 2015 prices in Singapore peaked at 84,181 million USD in 2022 and was at its lowest, 2,669 million USD, in 1970.
That places Singapore 29th out of 220 countries with data for 2023, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 4,602 million USD | 2,669 million USD | 6,841 million USD | 10 |
| 1980s | 9,361 million USD | 7,525 million USD | 13,450 million USD | 10 |
| 1990s | 19,912 million USD | 14,727 million USD | 25,983 million USD | 10 |
| 2000s | 35,192 million USD | 26,446 million USD | 43,675 million USD | 10 |
| 2010s | 59,309 million USD | 52,012 million USD | 68,273 million USD | 10 |
| 2020s | 79,760 million USD | 72,346 million USD | 84,181 million USD | 4 |
Countries ranked near Singapore
- 26 Saudi Arabia 92,581 million USD compare
- 27 Argentina 86,583 million USD compare
- 28 Sweden 81,618 million USD compare
- 30 Iran (Islamic Republic of) 80,538 million USD compare
- 31 Philippines 80,296 million USD compare
- 32 Austria 79,846 million USD compare
More economy & growth data for Singapore
- External balance on goods and services as a percent of gdp 35.4 (2025)
- Inflation of consumer prices 0.903 (2025)
- Gdp per capita worldbank constant usd 70,684 (2025)
- Manufacturing value added to gdp 17.43 (2025)
- Gdp worldbank constant usd 431.96 billion (2025)
- Gdp per capita in international and market dollars 70,684 (2025)
- DEC alternative conversion factor 1.31 LCU per US$ (2025)
- Net secondary income (Net current transfers from abroad) -14.11 billion current LCU (2025)
- Net secondary income (Net current transfers from abroad) -10.79 billion current US$ (2025)
- Taxes less subsidies on products 45.11 billion current LCU (2025)
Frequently asked questions
- What is value added (total manufacturing) — value us$, 2015 prices in Singapore?
- Value added (total manufacturing) — value us$, 2015 prices in Singapore was 80,546 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (total manufacturing) — value us$, 2015 prices recorded in Singapore?
- The highest recorded value was 84,181 million USD in 2022.
- What is the lowest value added (total manufacturing) — value us$, 2015 prices recorded in Singapore?
- The lowest recorded value was 2,669 million USD in 1970.
- How does Singapore rank for value added (total manufacturing) — value us$, 2015 prices?
- Singapore ranks 29th out of 220 countries with data for 2023.
- Is value added (total manufacturing) — value us$, 2015 prices rising or falling in Singapore?
- Over the last ten years it is up 40.8%. 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 Value Added (Total Manufacturing) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.
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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).