Unemployed Residents Aged 15 Years And Over By Sex, Annual
Description
Annual average unemployed Singapore residents aged 15 and over by sex from 2000 through 2025, from Ministry of Manpower via SingStat, using seasonally adjusted inputs where available. Labour analysts compare male and female unemployment levels; characteristic breakdowns may not sum to the total after the SA revision. Adapted from SingStat TableBuilder TS/M184081.
Official description
Source: MINISTRY OF MANPOWER Data Last Updated: 06/07/2026 Update Frequency: Annual Footnotes: Data are based on Singapore Residents. Annual average unemployment figures have been revised to use seasonally adjusted (SA) data where available, in place of non-seasonally adjusted (NSA) data. This revision ensures the figures more accurately reflect the unemployment situation. With this change, the annual average number of unemployed by the different characteristics breakdown may not add up to the total annual average number of unemployed. Data for June 2000 and 2005 were obtained from the General Household Survey (June 2005) and Population Census (June 2000) conducted by the Singapore Department of Statistics. The Labour Force Survey was not conducted in these periods. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M184081
- Last updated
- Coverage
- 2000-01-01 – 2025-12-31
- Rows
- 3
- 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 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Unemployed Residents Aged 15 Years And Over (Total) | 68.400000 | 67.000000 | 65.600000 | 69.800000 | 86.900000 | 96.200000 | 72.500000 | 66.800000 | 70.800000 | 67.100000 | 62.400000 | 61.400000 | 59.500000 | 60.100000 | 60.600000 | 64.800000 | 86.700000 | 63.700000 | 56.500000 | 68.000000 | 75.400000 | 78.600000 | 92.400000 | 81.500000 | 61.900000 | 57.900000 |
| Male | 35.000000 | 35.300000 | 35.300000 | 35.600000 | 42.000000 | 48.900000 | 37.000000 | 35.400000 | 38.500000 | 36.200000 | 33.200000 | 31.800000 | 32.100000 | 31.200000 | 30.600000 | 34.000000 | 46.200000 | 33.600000 | 30.800000 | 37.300000 | 40.800000 | 46.200000 | 52.700000 | 48.200000 | 38.700000 | 37.000000 |
| Female | 33.300000 | 31.300000 | 30.700000 | 33.900000 | 42.100000 | 47.300000 | 35.600000 | 31.400000 | 32.300000 | 30.800000 | 29.200000 | 29.400000 | 27.700000 | 28.800000 | 30.000000 | 30.800000 | 40.700000 | 29.300000 | 25.900000 | 30.300000 | 34.100000 | 32.200000 | 38.500000 | 32.800000 | 23.300000 | 22.400000 |
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | No |
| 2025 | Numeric | No |
| 2024 | Numeric | No |
| 2023 | Numeric | No |
| 2022 | Numeric | No |
| 2021 | Numeric | No |
| 2020 | Numeric | No |
| 2019 | Numeric | No |
| 2018 | Numeric | No |
| 2017 | Numeric | No |
| 2016 | Numeric | No |
| 2015 | Numeric | No |
| 2014 | Numeric | No |
| 2013 | Numeric | No |
| 2012 | Numeric | No |
| 2011 | Numeric | No |
| 2010 | Numeric | No |
| 2009 | Numeric | No |
| 2008 | Numeric | No |
| 2007 | Numeric | No |
| 2006 | Numeric | No |
| 2005 | Numeric | No |
| 2004 | Numeric | No |
| 2003 | Numeric | No |
| 2002 | Numeric | No |
| 2001 | Numeric | No |
| 2000 | Numeric | No |