Value Added (Manufacture of food and beverages) — Value Standard in Singapore

Singapore: Value Added (Manufacture of food and beverages) — Value Standard was 4,915 million SLC in 2022. ◆ Volatile

Latest (2022)
4,915 million SLC
Change on year
up 14.6%
World rank
34th
of 44 countries
All-time high
4,915 million SLC
in 2022
All-time low
1,091 million SLC
in 2000
Years of data
27
1996–2022

Value Added (Manufacture of food and beverages) — Value Standard in Singapore, 1996–2022

1.0k2.0k3.0k4.0k5.0k1996200920221996: 1.1k million SLC1997: 1.2k million SLC1998: 1.1k million SLC1999: 1.1k million SLC2000: 1.1k million SLC2001: 1.2k million SLC2002: 1.1k million SLC2003: 1.1k million SLC2004: 1.3k million SLC2005: 1.3k million SLC2006: 1.4k million SLC2007: 1.5k million SLC2008: 1.8k million SLC2009: 2.1k million SLC2010: 2.6k million SLC2011: 3.0k million SLC2012: 3.3k million SLC2013: 3.3k million SLC2014: 3.8k million SLC2015: 4.2k million SLC2016: 4.2k million SLC2017: 4.4k million SLC2018: 4.2k million SLC2019: 4.7k million SLC2020: 4.2k million SLC2021: 4.3k million SLC2022: 4.9k million SLC

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

The most recent figure for value added (manufacture of food and beverages) — value standard in Singapore is 4,915 million SLC, measured in 2022. That is the highest value across all 27 years on record.

Compared with earlier readings it is up 14.6% on the previous year and up 47.2% over ten years.

Over the whole period, value added (manufacture of food and beverages) — value standard in Singapore peaked at 4,915 million SLC in 2022 and was at its lowest, 1,091 million SLC, in 2000.

That places Singapore 34th out of 44 countries with data for 2022, putting it in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Value Added (Manufacture of food and beverages) — Value Standard in Singapore, year by year

Annual values for Value Added (Manufacture of food and beverages) — Value Standard Local Currency in Singapore, 1996 to 2022.
Year million SLC Change
1996 1,116 million SLC
1997 1,177 million SLC +5.5%
1998 1,144 million SLC -2.8%
1999 1,129 million SLC -1.3%
2000 1,091 million SLC -3.4%
2001 1,178 million SLC +7.9%
2002 1,136 million SLC -3.5%
2003 1,139 million SLC +0.3%
2004 1,332 million SLC +16.9%
2005 1,322 million SLC -0.7%
2006 1,433 million SLC +8.4%
2007 1,472 million SLC +2.8%
2008 1,767 million SLC +20.0%
2009 2,084 million SLC +18.0%
2010 2,624 million SLC +25.9%
2011 2,998 million SLC +14.3%
2012 3,340 million SLC +11.4%
2013 3,253 million SLC -2.6%
2014 3,845 million SLC +18.2%
2015 4,177 million SLC +8.6%
2016 4,157 million SLC -0.5%
2017 4,439 million SLC +6.8%
2018 4,164 million SLC -6.2%
2019 4,749 million SLC +14.1%
2020 4,218 million SLC -11.2%
2021 4,290 million SLC +1.7%
2022 4,915 million SLC +14.6%

Singapore compared with similar countries

  • Singapore's 4,915 million SLC is below the median for high income countries, which is 7,245 million SLC, 68% of the median. (12 countries reporting)
  • Singapore's 4,915 million SLC is below the median for East Asia & Pacific, which is 50,397 million SLC, 10% of the median. (5 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1990s 1,141 million SLC 1,116 million SLC 1,177 million SLC 4
2000s 1,396 million SLC 1,091 million SLC 2,084 million SLC 10
2010s 3,775 million SLC 2,624 million SLC 4,749 million SLC 10
2020s 4,474 million SLC 4,218 million SLC 4,915 million SLC 3

Countries ranked near Singapore

  1. 31 Belarus 10,774 million SLC compare
  2. 32 Romania 9,575 million SLC compare
  3. 33 Ecuador 7,357 million SLC compare
  4. 35 Botswana 3,798 million SLC compare
  5. 36 Georgia 2,620 million SLC compare
  6. 37 Trinidad and Tobago 2,152 million SLC compare

See the full ranking of 44 places →

More agriculture & rural data for Singapore

All data for Singapore →

Frequently asked questions

What is value added (manufacture of food and beverages) — value standard in Singapore?
Value added (manufacture of food and beverages) — value standard in Singapore was 4,915 million SLC in 2022, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (manufacture of food and beverages) — value standard recorded in Singapore?
The highest recorded value was 4,915 million SLC in 2022.
What is the lowest value added (manufacture of food and beverages) — value standard recorded in Singapore?
The lowest recorded value was 1,091 million SLC in 2000.
How does Singapore rank for value added (manufacture of food and beverages) — value standard?
Singapore ranks 34th out of 44 countries with data for 2022.
Is value added (manufacture of food and beverages) — value standard rising or falling in Singapore?
Over the last ten years it is up 47.2%. 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 (Manufacture of food and beverages) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Value Added (Manufacture of food and beverages) — Value Standard in Singapore. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 14 September 2026, from https://agriculture.statizoid.com/stat/value-added-manufacture-of-food-and-beverages-value-standard-local-currency/singapore/

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About this data

Indicator
Value Added (Manufacture of food and beverages) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
44 places, 697 data points, 1990–2022
Last refreshed

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).