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Data from Jan 2001 to Dec 2023
Last updated: 12 Mar 2026, 19:00 SGT
Source: MINISTRY OF MANPOWER
Data Last Updated: 02/04/2025
Update Frequency: Annual
Footnotes: 1) Data are primarily from administrative records, with the self-employed component estimated from the Labour Force Survey. 2) Data may not add up to the total due to rounding. The industries are classified based on SSIC 2020 from 2008 onwards and SSIC 2005 before 2008.
Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182841
Data Series Text | 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 Numeric | 2003 Text | 2002 Text | 2001 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)23.1% | (Null)23.1% | (Null)23.1% |
| Manufacturing | 485.6 | 485.4 | 450.2 | 451.2 | 487.2 | 488 | 483.1 | 500.4 | 515.4 | 535.9 | 539.9 | 535.4 | 526.5 | 520.2 | 516.1 | 558.8 | 566.8 | 517.5 | 475.9 | 446.7 | 419.7 | 424.7 | 430.1 |
| Construction | 526.2 | 499.4 | 407.6 | 403.6 | 454.5 | 443.6 | 450.3 | 488.9 | 500.6 | 494.3 | 479.5 | 441 | 400.5 | 378.7 | 378.2 | 354 | 295.9 | 255.5 | 235 | 226.3 | 235.4 | 252.9 | 287.2 |
| Services | 2963.4 | 2884.3 | 2761.8 | 2722.5 | 2816.5 | 2757 | 2709.6 | 2656.8 | 2612.8 | 2566.6 | 2447.9 | 2356.5 | 2278.4 | 2184.7 | 2073.9 | 2016.7 | 1849.6 | 1706.5 | 1593.8 | 1520.1 | 1465.2 | 1455.3 | 1438.8 |
| Wholesale And Retail Trade | 467.3 | 462.5 | 453.3 | 459.8 | 484.4 | 490.6 | 490.3 | 491.1 | 489.7 | 497.5 | 479.4 | 463.2 | 452.1 | 438.4 | 424.6 | 420 | 384.9 | 365 | 346.4 | 333.8 | 322.8 | 325.1 | 325.2 |
| Transportation And Storage | 271.5 | 265.9 | 255.8 | 253.5 | 262.2 | 258.3 | 250.8 | 244.8 | 241.1 | 238.3 | 230.3 | 222.1 | 213.2 | 206.4 | 199.7 | 202.3 | 184 | 179 | 173 | 166.6 | 163.9 | 164.5 | 161 |
| Accommodation And Food Services | 271.5 | 264.1 | 246.5 | 247.7 | 271 | 259.5 | 257.9 | 253.4 | 246 | 240.8 | 230.6 | 222.9 | 215.1 | 205 | 190 | 187.7 | 162.1 | 145.8 | 133.2 | 127.5 | 123.3 | 121.4 | 118.1 |
| Information And Communications | 184.1 | 186.6 | 171.8 | 157.6 | 154.8 | 147.1 | 139.6 | 135.4 | 133 | 129 | 122 | 115.9 | 112.4 | 103 | 94.4 | 91.6 | 79.4 | 73.1 | 66.6 | 63 | 60.2 | 62.7 | 64.8 |
| Financial And Insurance Services | 229.1 | 220.2 | 209.2 | 204.2 | 201.4 | 195.6 | 194.2 | 185.2 | 179.9 | 177.4 | 168.6 | 162.9 | 157 | 149.9 | 143.4 | 142 | 149.1 | 127.3 | 116 | 108.2 | 102.1 | 99.9 | 101.9 |
| Real Estate Services | 76.3 | 73.8 | 72.7 | 74.4 | 81 | 80.9 | 80.1 | 81.4 | 88.6 | 94.2 | 87.4 | 88.8 | 84.7 | 81.2 | 78.6 | 75.9 | 61.4 | 52.9 | 48.4 | 45.9 | na | na | na |
| Professional Services | 283.7 | 278.8 | 262.9 | 252.2 | 255.1 | 245 | 238.1 | 234.6 | 234.2 | 231.3 | 218.7 | 203.9 | 193.8 | 184.2 | 171.7 | 167.2 | 150.5 | 128.4 | 114.6 | 106.9 | na | na | na |
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Title | Column name | Data type | Unit of measure | Description |
|---|---|---|---|---|
| Data Series | DataSeries | Text | Thousand | - |
| 2023 | 2023 | Numeric | Thousand | - |
| 2022 | 2022 | Numeric | Thousand | - |
| 2021 | 2021 | Numeric | Thousand | - |
| 2020 | 2020 | Numeric | Thousand | - |
| 2019 | 2019 | Numeric | Thousand | - |
| 2018 | 2018 | Numeric | Thousand | - |
| 2017 | 2017 | Numeric | Thousand | - |
| 2016 | 2016 | Numeric | Thousand | - |
| 2015 | 2015 | Numeric | Thousand | - |
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_d2518fed6cc2014f0cd061b4570a9592"
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.
24 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.