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Unemployed Residents Aged 15 Years And Over By Sex, Annual

What this data shows

Published by Singapore Department of Statistics. 3 records. Fields include Data Series, 2025, 2024, 2023 (27 columns in total). Covers 2000-01-01 to 2025-12-31. Last updated 2026-09-12.

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
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
Male 35.000000 35.300000 35.300000 35.600000 42.000000 48.900000 37.000000 35.400000 38.500000 36.200000 33.200000
Female 33.300000 31.300000 30.700000 33.900000 42.100000 47.300000 35.600000 31.400000 32.300000 30.800000 29.200000

Preview shows 3 rows and 12 columns. Use the table search or download the CSV for the full data.

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