Value Added (Total Manufacturing) — Value Standard Local Currency in Singapore
Singapore: Value Added (Total Manufacturing) — Value Standard Local Currency was 110,737 million SLC in 2023. ◆ Volatile
Value Added (Total Manufacturing) — Value Standard Local Currency in Singapore, 1970–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2023, value added (total manufacturing) — value standard local currency in Singapore stood at 110,737 million SLC.
That represents a change of down 4.3% on the previous year and up 40.8% over ten years.
Over the whole period, value added (total manufacturing) — value standard local currency in Singapore peaked at 115,734 million SLC in 2022 and was at its lowest, 3,670 million SLC, in 1970.
That places Singapore 85th out of 194 countries with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Total Manufacturing) — Value Standard Local Currency in Singapore, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 3,670 million SLC | — |
| 1971 | 4,346 million SLC | +18.4% |
| 1972 | 5,132 million SLC | +18.1% |
| 1973 | 5,963 million SLC | +16.2% |
| 1974 | 6,200 million SLC | +4.0% |
| 1975 | 6,078 million SLC | -2.0% |
| 1976 | 6,791 million SLC | +11.7% |
| 1977 | 7,424 million SLC | +9.3% |
| 1978 | 8,264 million SLC | +11.3% |
| 1979 | 9,405 million SLC | +13.8% |
| 1980 | 10,345 million SLC | +10.0% |
| 1981 | 11,308 million SLC | +9.3% |
| 1982 | 10,912 million SLC | -3.5% |
| 1983 | 11,217 million SLC | +2.8% |
| 1984 | 12,058 million SLC | +7.5% |
| 1985 | 11,178 million SLC | -7.3% |
| 1986 | 12,117 million SLC | +8.4% |
| 1987 | 14,232 million SLC | +17.5% |
| 1988 | 16,841 million SLC | +18.3% |
| 1989 | 18,492 million SLC | +9.8% |
| 1990 | 20,248 million SLC | +9.5% |
| 1991 | 21,349 million SLC | +5.4% |
| 1992 | 21,840 million SLC | +2.3% |
| 1993 | 23,950 million SLC | +9.7% |
| 1994 | 26,991 million SLC | +12.7% |
| 1995 | 29,700 million SLC | +10.0% |
| 1996 | 30,523 million SLC | +2.8% |
| 1997 | 31,835 million SLC | +4.3% |
| 1998 | 31,603 million SLC | -0.7% |
| 1999 | 35,722 million SLC | +13.0% |
| 2000 | 41,132 million SLC | +15.1% |
| 2001 | 36,359 million SLC | -11.6% |
| 2002 | 39,438 million SLC | +8.5% |
| 2003 | 40,620 million SLC | +3.0% |
| 2004 | 46,244 million SLC | +13.8% |
| 2005 | 50,641 million SLC | +9.5% |
| 2006 | 56,679 million SLC | +11.9% |
| 2007 | 60,046 million SLC | +5.9% |
| 2008 | 57,531 million SLC | -4.2% |
| 2009 | 55,143 million SLC | -4.2% |
| 2010 | 71,507 million SLC | +29.7% |
| 2011 | 77,090 million SLC | +7.8% |
| 2012 | 77,336 million SLC | +0.3% |
| 2013 | 78,629 million SLC | +1.7% |
| 2014 | 80,738 million SLC | +2.7% |
| 2015 | 76,598 million SLC | -5.1% |
| 2016 | 79,433 million SLC | +3.7% |
| 2017 | 87,699 million SLC | +10.4% |
| 2018 | 93,863 million SLC | +7.0% |
| 2019 | 92,497 million SLC | -1.5% |
| 2020 | 99,463 million SLC | +7.5% |
| 2021 | 112,692 million SLC | +13.3% |
| 2022 | 115,734 million SLC | +2.7% |
| 2023 | 110,737 million SLC | -4.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6,327 million SLC | 3,670 million SLC | 9,405 million SLC | 10 |
| 1980s | 12,870 million SLC | 10,345 million SLC | 18,492 million SLC | 10 |
| 1990s | 27,376 million SLC | 20,248 million SLC | 35,722 million SLC | 10 |
| 2000s | 48,383 million SLC | 36,359 million SLC | 60,046 million SLC | 10 |
| 2010s | 81,539 million SLC | 71,507 million SLC | 93,863 million SLC | 10 |
| 2020s | 109,656 million SLC | 99,463 million SLC | 115,734 million SLC | 4 |
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 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)
- Gross value added at basic prices (GVA) (constant 2015 US$), annual 4.96 % change on previous year (2025)
- Gross value added at basic prices (GVA) (constant 2015 US$), per unit 0.6782 constant 2015 US$ per US$ of GDP (2025)
- Gross value added at basic prices (GVA) (constant 2015 US$), per 67,011 constant 2015 US$ per person (2025)
- Gross value added at basic prices (GVA) (constant LCU), annual growth 4.96 % change on previous year (2025)
- Gross value added at basic prices (GVA) (constant LCU), per unit of 0.9323 constant LCU per US$ of GDP (2025)
Frequently asked questions
- What is value added (total manufacturing) — value standard local currency in Singapore?
- Value added (total manufacturing) — value standard local currency in Singapore was 110,737 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (total manufacturing) — value standard local currency recorded in Singapore?
- The highest recorded value was 115,734 million SLC in 2022.
- What is the lowest value added (total manufacturing) — value standard local currency recorded in Singapore?
- The lowest recorded value was 3,670 million SLC in 1970.
- How does Singapore rank for value added (total manufacturing) — value standard local currency?
- Singapore ranks 85th out of 194 countries with data for 2023.
- Is value added (total manufacturing) — value standard local currency 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 Standard Local Currency, 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).