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Data from Jan 2000 to Dec 2024Updated 3 days ago
SINGSTAT (Singapore Department of Statistics)Source: MINISTRY OF MANPOWER
Data Last Updated: 28/01/2025
Update Frequency: Annual
Footnotes: Residents comprise Singapore citizens and permanent residents. Based on mid-year Labour Force Survey except for Census of Population 2000 and General Household Survey 2005. Data from year 2020 are classified based on Singapore Standard Occupational Classification (SSOC) 2020. Data before year 2020 which were coded based on earlier versions of the SSOC were mapped to SSOC 2020 as far as possible to facilitate data comparability. Data are not available for 2006 as the level of occupational detail collected in 2006 did not support mapping.
Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182171
Data Series Text | 2024 Text | 2023 Text | 2022 Text | 2021 Text | 2020 Text | 2019 Text | 2018 Text | 2017 Text | 2016 Text | 2015 Text | 2014 Text | 2013 Text | 2012 Text | 2011 Text | 2010 Numeric | 2009 Text | 2008 Text | 2007 Text | 2005 Text | 2004 Text | 2003 Text | 2002 Text | 2001 Text | 2000 Text |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Null)0.0% Others10.0% Professionals10.0% Service & Sales Workers10.0% Clerical Support Workers10.0% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)0.8% | (Null)1.7% | (Null)0.0% | (Null)1.7% | (Null)0.8% | (Null)1.7% | (Null)0.8% | (Null)1.7% | (Null)0.8% | (Null)1.7% | (Null)0.8% | (Null)0.8% |
All Occupation Groups, (Total Employed Residents) | 2365.6 | 2352.3 | 2350.4 | 2286.5 | 2222.6 | 2230.4 | 2203.7 | 2175.3 | 2165.3 | 2147.8 | 2103.5 | 2056.1 | 2040.6 | 1998.9 | 1962.9 | 1869.4 | 1852 | 1803.2 | 1647.3 | 1632.1 | 1605.4 | 1573.7 | 1582.5 | 1482.6 |
Managers & Administrators (Including Working Proprietors) | 404.9 | 369.9 | 407.7 | 377.7 | 368.3 | 364.9 | 341.6 | 348.8 | 337.5 | 355.8 | 351.2 | 360.5 | 359 | 367 | 352.4 | 310.8 | 303.3 | 281.2 | 231.7 | 242 | 243.2 | 233.3 | 233.3 | 221.4 |
Professionals | 619.9 | 620.6 | 600.9 | 577.5 | 504.2 | 469.4 | 449.2 | 437.6 | 419.8 | 404.1 | 383.3 | 371.9 | 369.9 | 348.5 | 375.7 | 341.8 | 334.5 | 309.6 | 259 | 250 | 247.1 | 236.3 | 233 | 196.4 |
Associate Professionals & Technicians | 483.1 | 482.5 | 485.7 | 465.8 | 458.2 | 467.9 | 465 | 436.2 | 438.1 | 408.3 | 391.5 | 359.5 | 340.4 | 337.1 | 303.4 | 309.8 | 307.8 | 289.5 | 255.6 | 259.8 | 240.8 | 234.4 | 238.2 | 234.5 |
Clerical Support Workers | 209.6 | 207.8 | 211.8 | 223.4 | 215.6 | 237.2 | 241 | 247.9 | 244.9 | 267.7 | 268.4 | 271.8 | 265.7 | 249.3 | 243.6 | 236.5 | 237 | 231.2 | 220.8 | 220.4 | 219.1 | 217.8 | 221.9 | 204.8 |
Service & Sales Workers | 241.8 | 257.9 | 241.2 | 239.2 | 252.3 | 257.7 | 262.7 | 248 | 262.4 | 251.6 | 244.3 | 244.7 | 252.5 | 234.8 | 234.5 | 218.9 | 219.3 | 225.4 | 244.4 | 203.5 | 196.8 | 198.8 | 200.7 | 184.7 |
Craftsmen & Related Trade Workers | 54.8 | 58.8 | 53.3 | 57.9 | 62.5 | 67.8 | 70 | 76 | 79.2 | 83.9 | 82.2 | 82.2 | 90.6 | 89.5 | 86.5 | 88.8 | 90.8 | 95.6 | 111 | 97.2 | 98 | 105.1 | 102.5 | 107.3 |
Plant & Machine Operators & Assemblers | 128.4 | 132 | 135.7 | 137 | 151.7 | 151.4 | 147.9 | 151.5 | 151.1 | 146.1 | 145.9 | 146.9 | 148.7 | 157.5 | 152.7 | 158.4 | 157.4 | 164 | 169.7 | 164.2 | 166.7 | 171.2 | 173.6 | 175.7 |
Cleaners, Labourers & Related Workers | 165.7 | 162.1 | 158.4 | 151.5 | 149.5 | 149.4 | 156.4 | 160.5 | 160.7 | 160.3 | 166 | 150.2 | 145.3 | 145.7 | 145.5 | 141 | 138.5 | 143.6 | 99.2 | 123.9 | 123.8 | 114.8 | 114.4 | 103.8 |
Others | 57.4 | 60.7 | 55.8 | 56.5 | 60.4 | 64.8 | 69.8 | 68.9 | 71.6 | 70 | 70.8 | 68.7 | 68.6 | 69.6 | 68.7 | 63.5 | 63.4 | 63.1 | 55.9 | 71.1 | 69.8 | 61.9 | 64.9 | 53.9 |
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Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Data Series | DataSeries | Text | Thousand | - |
2024 | 2024 | Text | Thousand | - |
2023 | 2023 | Text | Thousand | - |
2022 | 2022 | Text | Thousand | - |
2021 | 2021 | Text | Thousand | - |
2020 | 2020 | Text | Thousand | - |
2019 | 2019 | Text | Thousand | - |
2018 | 2018 | Text | Thousand | - |
2017 | 2017 | Text | Thousand | - |
2016 | 2016 | Text | Thousand | - |
2015 | 2015 | Text | Thousand | - |
2014 | 2014 | Text | Thousand | - |
2013 | 2013 | Text | Thousand | - |
2012 | 2012 | Text | Thousand | - |
2011 | 2011 | Text | Thousand | - |
2010 | 2010 | Numeric | Thousand | - |
2009 | 2009 | Text | Thousand | - |
2008 | 2008 | Text | Thousand | - |
2007 | 2007 | Text | Thousand | - |
2005 | 2005 | Text | Thousand | - |
2004 | 2004 | Text | Thousand | - |
2003 | 2003 | Text | Thousand | - |
2002 | 2002 | Text | Thousand | - |
2001 | 2001 | Text | Thousand | - |
2000 | 2000 | Text | 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_1d7ab908d16d7b9ddf6f2c2985894119"
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.