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Data from Jan 1960 to Dec 2025
Last updated: 01 Apr 2026, 23:00 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 10/02/2026
Update Frequency: Annual
Footnotes: Disaggregated chain-linked data generally do not add up to the total. For more information on national accounts methodologies, please visit Singstat website (https://www.singstat.gov.sg/find-data/explore-data-themes/economy-prices/national-accounts/related-information) to view and download related publications.
Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M015721
Data Series Text | 2025 Numeric | 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 | 1979 Text | 1978 Text | 1977 Text | 1976 Text | 1975 Text | 1974 Text | 1973 Text | 1972 Text | 1971 Text | 1970 Text | 1969 Text | 1968 Text | 1967 Text | 1966 Text | 1965 Text | 1964 Text | 1963 Text | 1962 Text | 1961 Text | 1960 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)0.0% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% | (Null)41.4% |
| GDP In Chained (2015) Dollars | 593855 | 565451 | 536768.7 | 529095.4 | 508695.3 | 461857.9 | 479159.6 | 473670.8 | 459042.9 | 440004.8 | 423444.1 | 411203.4 | 395633.1 | 377449 | 361418.3 | 340270.7 | 297128.4 | 296748.7 | 291320 | 267213.3 | 245134.6 | 228316.1 | 207673.4 | 198638.8 | 191139.7 | 193208.7 | 177193.4 | 167608.9 | 171363.5 | 158206.7 | 147208.2 | 137352.6 | 123634.5 | 110923.1 | 104016.6 | 97495.7 | 88777 | 80590 | 72431.6 | 65372.7 | 64506.5 | 64910.7 | 59664.8 | 54963 | 51318.3 | 46309.5 | 42056.2 | 38388.4 | 35618.3 | 33334.1 | 31026.6 | 29836.5 | 28116.5 | 25421.1 | 22433.9 | 19956.6 | 17514.7 | 15386.2 | 13552.9 | 12046.1 | 10933.1 | 10138.8 | 10463.5 | 9508.8 | 8841 | 8175.7 |
| Goods Producing Industries | 154906.5 | 144026.2 | 138505.7 | 141254.4 | 135970.5 | 117719.1 | 117900.5 | 119163.6 | 112868.4 | 105697.4 | 102984.3 | 105635.9 | 101766.4 | 99932.8 | 97809.6 | 91617.9 | 73859.3 | 73463.5 | 74054.1 | 69117 | 62099.1 | 57362 | 51693.9 | 50897.2 | 48571 | 53305.1 | 47999.6 | 44886.1 | 44785.8 | 42088.6 | 39576.9 | 36166.7 | 31650 | 28961.7 | 27609.9 | 25753.9 | 23641.1 | 21889 | 19435.5 | 17738.4 | 18070.8 | 20050.5 | 18288.6 | 16571.7 | 15787.9 | 14313.7 | 13067.2 | 11717.1 | 11003.8 | 10366.5 | 9335.7 | 9048.7 | 8733 | 8088.3 | 6937.4 | 5977.6 | 5014 | 4281.9 | 3642.9 | 3213.3 | 2879.9 | 2634 | 2472.5 | 2190 | 2002.7 | 1836.6 |
| Manufacturing | 125031.6 | 115029.6 | 110841.6 | 115737.6 | 112695.1 | 99463 | 92497.3 | 93863.1 | 87699 | 79433.1 | 76598.2 | 80738.3 | 78628.6 | 77336.1 | 77090.1 | 71507 | 55143.1 | 57530.8 | 60045.8 | 56678.6 | 50641.2 | 46243.6 | 40619.5 | 39437.8 | 36358.7 | 41132.1 | 35721.6 | 31603.2 | 31835.2 | 30523.1 | 29700.5 | 26990.7 | 23950.5 | 21839.5 | 21349.4 | 20247.5 | 18491.5 | 16840.9 | 14232.1 | 12117.2 | 11178 | 12058.2 | 11217 | 10911.6 | 11307.5 | 10345.4 | 9404.9 | 8264.2 | 7423.7 | 6790.9 | 6077.8 | 6200.1 | 5963.3 | 5131.7 | 4346.3 | 3670 | 3019.7 | 2459.7 | 2061.7 | 1794.6 | 1573.6 | 1407.7 | 1365.3 | 1170.2 | 1073.8 | 1019.3 |
| Construction | 22343.5 | 21230.4 | 20149.3 | 18008.2 | 15908 | 11250 | 19308 | 19217.1 | 19145.1 | 20212.3 | 20430.8 | 19274.8 | 17719.7 | 17289.3 | 15612.5 | 15098.6 | 14108.8 | 11534.9 | 9217.9 | 7637.8 | 7081.9 | 7025.2 | 7391.8 | 8085.8 | 9322.1 | 9306.2 | 9571 | 10726.3 | 10514.9 | 9302.1 | 7739.3 | 7150.6 | 5854.2 | 5375.5 | 4564.1 | 3868 | 3595.3 | 3553.7 | 3753.8 | 4253.8 | 5554.2 | 6692.2 | 5815.5 | 4472.9 | 3253.6 | 2757.9 | 2487.2 | 2331.5 | 2531.8 | 2593.2 | 2343.5 | 2016.9 | 1927.5 | 2125.1 | 1815.3 | 1582 | 1280.3 | 1133.5 | 940.2 | 828.5 | 840 | 730.3 | 626 | 517.2 | 470.6 | 342.7 |
| Utilities | 6450.8 | 6375.4 | 6187.2 | 6117 | 5991.1 | 5784 | 5936.2 | 5868.3 | 5900.3 | 5914.8 | 5817.2 | 5702.9 | 5588.2 | 5481.6 | 5365.3 | 5260.2 | 4866.8 | 4800.6 | 4706.6 | 4524.9 | 4230.1 | 4157.5 | 4016.1 | 3834.6 | 3609.9 | 3377.6 | 3137.6 | 3013.1 | 2854.2 | 2598.2 | 2377.7 | 2231.7 | 2022 | 1894.6 | 1818.9 | 1707.8 | 1578.9 | 1499 | 1386.6 | 1273.3 | 1198.9 | 1151.7 | 1078.7 | 996 | 952.4 | 892.7 | 837.1 | 778.2 | 689.6 | 630.5 | 584.3 | 549.1 | 524.2 | 476.2 | 421.3 | 384.7 | 341 | 314.4 | 277.8 | 238 | 197.8 | 198.5 | 174.6 | 170.2 | 149.3 | 143.7 |
| Other Goods Industries | 157 | 161.9 | 158.7 | 153.4 | 165.7 | 149.6 | 155.9 | 145.9 | 141.5 | 137.2 | 138.1 | 138.6 | 134.2 | 129.6 | 124.2 | 119.2 | 116 | 111.7 | 118.6 | 118.6 | 116.6 | 109.1 | 109.1 | 119 | 143.7 | 164.9 | 175.4 | 177.2 | 196.4 | 201.3 | 195.2 | 205.3 | 198.9 | 207.8 | 217.7 | 237.5 | 258.7 | 271.4 | 319.4 | 348.9 | 399.7 | 444.5 | 431.3 | 406 | 402.2 | 390.9 | 385.9 | 378.6 | 392.8 | 388.7 | 353.7 | 325.8 | 339.3 | 358.6 | 331.2 | 299.4 | 288.6 | 273.6 | 252.5 | 243.4 | 206.3 | 208.2 | 210.1 | 209.9 | 197.2 | 193.5 |
| Services Producing Industries | 384737.4 | 368891.2 | 348623.9 | 339836.6 | 323894.8 | 298150.4 | 311077 | 305537 | 297440.1 | 287849.3 | 278103 | 266871.2 | 255804.2 | 239407.3 | 227086.6 | 212491.4 | 189638.9 | 190043.3 | 181601 | 165545 | 152934.3 | 142443.1 | 129713.2 | 122130.5 | 117806 | 113831.8 | 105367.6 | 100707.4 | 104509.3 | 95255 | 87624.6 | 82370.9 | 74771.2 | 66191.3 | 61437.6 | 57301.6 | 51568.8 | 46457.9 | 41918.4 | 37634.8 | 36726.2 | 35169.9 | 32732.3 | 30718.2 | 28229.1 | 25487.2 | 23042.1 | 21271.1 | 19561.5 | 18248.7 | 17211.1 | 16487.6 | 15210.6 | 13518.1 | 12120.6 | 10840.2 | 9738 | 8671.6 | 7684.6 | 6775.9 | 6191.1 | 5826.1 | 6253.5 | 5683 | 5303.5 | 4895.3 |
| Wholesale & Retail Trade | 86789.7 | 81981.4 | 77884.1 | 77816.4 | 74778.3 | 68146.6 | 69546.7 | 68925.1 | 67347.6 | 66080 | 65584.5 | 63214.9 | 60939.5 | 57411.4 | 53713.2 | 49974 | 42894.2 | 44642.4 | 43119 | 40233.7 | 36182.6 | 32884.3 | 28020.7 | 24882.9 | 23344.9 | 23525.3 | 19726 | 18346.2 | 19977.8 | 18647.8 | 17871 | 15937.1 | 13891.7 | 11344.3 | 11449.9 | 10382.8 | 9317.9 | 8596.9 | 7278.7 | 6584.8 | 6633.2 | 6893 | 6543 | 6237.9 | 5936.6 | 5732.6 | 5490.5 | 5221.1 | 4914.3 | 4533.8 | 4480.9 | 4508 | 4057.4 | 3647.3 | 3361.4 | 3104.8 | 2875.9 | 2586.6 | 2299.7 | 1919.9 | 1649 | 1595.2 | 2006.6 | 1729.6 | 1610.3 | 1449.6 |
| Wholesale Trade | 78786.6 | 74225.4 | 70283.4 | 70317.7 | 67734.3 | 61821.3 | 62111.8 | 61295.7 | 59777.7 | 58573.3 | 58306.1 | 56302.3 | 54257.5 | 50863.9 | 47391.9 | 43897.3 | 37059.8 | 38447.7 | 36897.6 | 34328.9 | 30599.3 | 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 | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na |
| Retail Trade | 7434 | 7338.1 | 7352.5 | 7172 | 6652.1 | 5937.2 | 7333.3 | 7597 | 7560.8 | 7506.5 | 7278.4 | 6909.5 | 6681.7 | 6601.3 | 6434.9 | 6250.4 | 6228.2 | 6639.3 | 6782.4 | 6472.9 | 6182.9 | 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 | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na |
No results found
Title | Column name | Data type | Unit of measure | Description |
|---|---|---|---|---|
| Data Series | DataSeries | Text | Million Dollars | - |
| 2025 | 2025 | Numeric | 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 | - |
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_9d1105cafc80c03d6273dcdeb5ad415a"
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.
01 Nov 2023
Free forever for personal or commercial use, under the Open Data Licence.