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Data from Jan 1980 to Dec 2024
Last updated: 07 Jul 2025, 21:01 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 14/02/2025
Update Frequency: Annual
Footnotes: The industries are classified according to SSIC 2020. For more information on national accounts methodologies, please visit Singstat website (www.singstat.gov.sg/find-data/search-by-theme/economy/national-accounts/publications-and-methodology) to view and download related publications.
Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M016021
Data Series Text | 2024 Numeric | 2023 Numeric | 2022 Numeric | 2021 Numeric | 2020 Numeric | 2019 Numeric | 2018 Numeric | 2017 Numeric | 2016 Numeric | 2015 Numeric | 2014 Numeric | 2013 Numeric | 2012 Numeric | 2011 Numeric | 2010 Numeric | 2009 Numeric | 2008 Numeric | 2007 Numeric | 2006 Numeric | 2005 Numeric | 2004 Text | 2003 Text | 2002 Text | 2001 Text | 2000 Text | 1999 Text | 1998 Text | 1997 Text | 1996 Text | 1995 Text | 1994 Text | 1993 Text | 1992 Text | 1991 Text | 1990 Text | 1989 Text | 1988 Text | 1987 Text | 1986 Text | 1985 Text | 1984 Text | 1983 Text | 1982 Text | 1981 Text | 1980 Text |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% | (Null)48.0% |
Total | 400691.8 | 369203.5 | 419662 | 339783 | 272421.6 | 270973.5 | 276257.4 | 245236 | 221752.6 | 214469 | 201053.2 | 199586.5 | 196270.3 | 188560.1 | 178286.2 | 149755.6 | 142287.7 | 148042.1 | 128684.8 | 115026 | 103239.9 | 83803.1 | 81151.8 | 75173.2 | 81485.5 | 72585.3 | 68547.1 | 73811.4 | 67124.6 | 61206.4 | 54996.1 | 48534.7 | 40879.2 | 38933.9 | 36206 | 31964.6 | 27963.1 | 23571.6 | 20072.5 | 18255.8 | 19132.2 | 18086.7 | 16979.7 | 16406.4 | 14520.8 |
Manufacturing | 88452.1 | 84638.4 | 108611.9 | 94845.5 | 71859.6 | 72112.4 | 80587.7 | 61891.3 | 51851.6 | 50641.8 | 45635.6 | 43110.6 | 47120.3 | 46417 | 46697 | 37343.9 | 34384.9 | 44736.5 | 44192.1 | 40288.4 | 36629.1 | 27155.3 | 26017.3 | 22165.2 | 28373.8 | 20705.6 | 18593.1 | 19160.5 | 18037.6 | 17330.6 | 14594.1 | 12972.5 | 10418 | 10624.8 | 9235.7 | 8681.7 | 8188.7 | 6641.1 | 5493.7 | 4101.3 | 4598.4 | 4411.7 | 4216.2 | 4825.4 | 4162.4 |
Construction | 5975.6 | 5171.4 | 4566.6 | 4310.6 | 2002.6 | 3899 | 3571.7 | 3656.2 | 4577.2 | 5041 | 4861.5 | 5014.7 | 5349 | 5461.7 | 5808.4 | 7235.9 | 5101.6 | 2520.9 | 1538.9 | 1327.3 | 1348.8 | 1429.9 | 1650.8 | 2144.6 | 2406.6 | 3232.9 | 3993.8 | 4086.8 | 3333.2 | 2592.4 | 2635.8 | 2297.5 | 2283.9 | 1678.8 | 1082.5 | 1093.2 | 1109.7 | 1157.5 | 1358.9 | 1740.2 | 1984.3 | 1726.3 | 1274.2 | 884.8 | 677.3 |
Utilities | 8315.6 | 8822.2 | 6094.6 | 4401.5 | 4423.2 | 3965.3 | 4036.6 | 3749.7 | 3907.1 | 4230.4 | 3854.9 | 3791.8 | 4048.3 | 3944.7 | 3583 | 3085.7 | 2929 | 2863.6 | 2872.3 | 2448.8 | 2427.9 | 2297.9 | 2418.4 | 2630.8 | 2054.7 | 2111.2 | 2338.1 | 2144.5 | 1856.1 | 1521.7 | 1346.8 | 1239.5 | 1041 | 965.2 | 951.6 | 867.3 | 906.2 | 733.6 | 851.2 | 558 | 557.9 | 512 | 429.2 | 339.4 | 428.4 |
Other Goods Industries | 103.6 | 101.2 | 91.1 | 92.5 | 91.7 | 77.8 | 68.8 | 63.4 | 60 | 61.7 | 62.1 | 59.9 | 51.7 | 52.4 | 49.2 | 51.8 | 51 | 54.2 | 55.2 | 56.2 | 55 | 53.8 | 63.4 | 72.5 | 89 | 88.8 | 78.4 | 116.1 | 121 | 105.4 | 103.5 | 102.6 | 107.4 | 125.4 | 160.1 | 135 | 150.6 | 166.4 | 189 | 218.5 | 297.4 | 331.2 | 354.4 | 367.7 | 330.1 |
Wholesale & Retail Trade | 111280.9 | 106593.1 | 117908 | 85735.3 | 64127.7 | 60406.5 | 59702.5 | 53802.9 | 46456.8 | 39531.4 | 39948 | 45323.4 | 46009.9 | 46322.4 | 39719.5 | 31721.4 | 25991.3 | 32506 | 26392.2 | 20631.8 | 14772.2 | 10393 | 10142.7 | 8380.6 | 9737.9 | 8424.6 | 4681.9 | 6467.8 | 7111 | 6546.6 | 5960.6 | 5435.2 | 3929.1 | 4500.2 | 4503.7 | 3503.3 | 2806 | 2048.2 | 1576.5 | 1313.1 | 1782.3 | 2098 | 2547.7 | 2604.1 | 2890.1 |
Wholesale Trade | 108814.3 | 103879.2 | 115080 | 82766 | 61532.2 | 57926.6 | 56830.9 | 50763 | 43469.2 | 36766.5 | 37339.8 | 42575.9 | 43121.1 | 43384.4 | 37089.3 | 29196.7 | 23580.5 | 30037.3 | 24082.1 | 18398.5 | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na |
Retail Trade | 2466.6 | 2713.9 | 2828 | 2969.3 | 2595.5 | 2479.9 | 2871.6 | 3039.9 | 2987.6 | 2764.9 | 2608.2 | 2747.5 | 2888.8 | 2938 | 2630.2 | 2524.7 | 2410.8 | 2468.7 | 2310.1 | 2233.3 | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na |
Transportation & Storage | 44831.7 | 31652 | 64899.3 | 40446.7 | 18557.2 | 17070.5 | 16679.9 | 17926 | 14938.2 | 17434.4 | 15089.2 | 13526.8 | 13117.5 | 12347.4 | 16053.9 | 12872.6 | 16742.7 | 16347.3 | 13184.8 | 13420.8 | 12535.4 | 9322.5 | 8326.8 | 8294 | 9034.9 | 8161.4 | 7197.9 | 7387.8 | 7055.3 | 6767 | 6315.7 | 5632.1 | 4731.2 | 4657.9 | 4359 | 4165.2 | 3778.5 | 3086.8 | 2449.3 | 2307.1 | 2128.5 | 2102.5 | 1983.6 | 1859.1 | 1659.9 |
Accommodation & Food Services | 4128.7 | 4149.2 | 3209.5 | 2613.2 | 2765.3 | 3893.5 | 3893.3 | 3617.6 | 3584.3 | 3495 | 3563.7 | 3402.5 | 3441.7 | 3270.2 | 2614.6 | 2157.6 | 2456.3 | 2239.2 | 1930.4 | 1754.2 | 1671.1 | 1413.4 | 1607.2 | 1590.3 | 1722.7 | 1630.4 | 1481.2 | 1570.7 | 1516.5 | 1478.3 | 1352.2 | 1198.3 | 1217.3 | 1177 | 1172.3 | 988.5 | 720.5 | 609 | 599.8 | 608.2 | 654.2 | 738.8 | 761 | 683.1 | 587.9 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Data Series | DataSeries | Text | Million Dollars | - |
2024 | 2024 | Numeric | Million Dollars | - |
2023 | 2023 | Numeric | Million Dollars | - |
2022 | 2022 | Numeric | Million Dollars | - |
2021 | 2021 | Numeric | Million Dollars | - |
2020 | 2020 | Numeric | Million Dollars | - |
2019 | 2019 | Numeric | Million Dollars | - |
2018 | 2018 | Numeric | Million Dollars | - |
2017 | 2017 | Numeric | Million Dollars | - |
2016 | 2016 | Numeric | Million Dollars | - |
This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.
import requests
dataset_id = "d_818b4dd33b72f322faca209c15ffee10"
url = "https://data.gov.sg/api/action/datastore_search?resource_id=" + dataset_id
response = requests.get(url)
print(response.json())
This dataset can be reused and cited in research publications.
22 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.