Employed Female Residents Aged 15 Years And Over By Industry And Age Group, (June), Annual
What this data shows
Published by Singapore Department of Statistics. 204 records. Fields include Data Series, 2025, 2024, 2023 (27 columns in total). Covers 2000-01-01 to 2025-12-31. Last updated 2026-09-11.
Description
Annual June counts of employed female Singapore residents aged 15 and over by industry and age group from 2000 through 2025, sourced from the Ministry of Manpower and published by the Singapore Department of Statistics. Footnotes cover resident definition, survey bases, and SSIC 2020 mapping. Labour analysts study women’s employment by sector and age.
Official description
Source: MINISTRY OF MANPOWER Data Last Updated: 30/01/2026 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. To facilitate comparison with 2008, 2007 Labour Force Survey data have been adjusted based on Singapore Department of Statistics revised population estimates (released in February 2008) which exclude Singapore residents who have been away from Singapore for a continuous period of 12 months or longer. Data from year 2020 are classified based on Singapore Standard Industrial Classification (SSIC) 2020. Data before year 2020 which were coded based on earlier versions of the SSIC were mapped to SSIC 2020 as far as possible to facilitate data comparability. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182151
- Last updated
- Coverage
- 2000-01-01 – 2025-12-31
- Rows
- 204
- Columns
- 27
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| All Industries (Employed Female Residents) | 1133.1 | 1127.6 | 1108.300000 | 1094.2 | 1066.200000 | 1024.600000 | 1027.900000 | 1006.5 | 985.9 | 986.9 | 976 |
| Manufacturing | 80.6 | 80 | 81.700000 | 83.2 | 80.300000 | 77.900000 | 77.600000 | 82.9 | 78.2 | 81.6 | 85 |
| Construction | 34.6 | 30.1 | 28.200000 | 29 | 29.800000 | 28.300000 | 27.000000 | 27.8 | 28.6 | 27.7 | 30 |
| Services | 1012.3 | 1010.9 | 991.700000 | 974.8 | 949.000000 | 912.700000 | 915.500000 | 889.1 | 872.2 | 872.3 | 854.5 |
| Wholesale & Retail Trade | 165.9 | 173.6 | 166.200000 | 177.7 | 169.500000 | 167.500000 | 174.300000 | 176 | 173.2 | 179.7 | 178.9 |
| Transportation & Storage | 52.8 | 46.2 | 51.800000 | 54.9 | 49.500000 | 52.600000 | 49.500000 | 48.1 | 42.9 | 45.2 | 46.2 |
| Accommodation & Food Services | 82.2 | 84.8 | 77.600000 | 71.8 | 70.000000 | 73.000000 | 73.600000 | 75 | 73.9 | 78.1 | 78 |
| Information & Communications | 54.4 | 59.6 | 56.100000 | 53.5 | 49.900000 | 45.000000 | 42.500000 | 38.9 | 34.6 | 34.5 | 34.4 |
| Financial & Insurance Services | 123.6 | 126.3 | 118.900000 | 118.3 | 114.400000 | 107.800000 | 105.500000 | 101.6 | 98.8 | 100.1 | 88.7 |
| Real Estate Services | 30.6 | 27.8 | 28.900000 | 30.2 | 26.800000 | 25.900000 | 24.800000 | 26.2 | 29.5 | 24.9 | 28 |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | Yes |
| 2025 | Text | No |
| 2024 | Text | No |
| 2023 | Numeric | No |
| 2022 | Text | No |
| 2021 | Numeric | No |
| 2020 | Numeric | No |
| 2019 | Numeric | No |
| 2018 | Text | No |
| 2017 | Text | No |
| 2016 | Text | No |
| 2015 | Text | No |
| 2014 | Text | No |
| 2013 | Text | No |
| 2012 | Text | No |
| 2011 | Text | No |
| 2010 | Numeric | No |
| 2009 | Text | No |
| 2008 | Text | No |
| 2007 | Text | No |
| 2006 | Text | No |
| 2005 | Text | No |
| 2004 | Text | No |
| 2003 | Text | No |
| 2002 | Text | No |
| 2001 | Text | No |
| 2000 | Text | No |