Skip to content
D

Number Of Married Residents In Labour Force Aged 15 Years And Over By Sex, End June, Annual

What this data shows

Published by Singapore Department of Statistics. 3 records. Fields include Data Series, 2024, 2023, 2022 (32 columns in total). Covers 1991-01-01 to 2024-12-31. Last updated 2026-09-09.

Description

Annual counts of married Singapore residents aged 15 and over in the labour force by sex at end June from 1991 through 2024, from the Ministry of Manpower Comprehensive Labour Force Survey via SingStat. Years 1995, 2000, and 2005 are unavailable due to census and GHS fieldwork. Labour economists track married participation by gender over three decades. Adapted from SingStat TableBuilder TS/M920171.

Official description

Source: MINISTRY OF MANPOWER Data Last Updated: 19/05/2026 Update Frequency: Annual Footnotes: 1. Data are from Comprehensive Labour Force Survey. 2. Residents refer to Singapore Citizens and Permanent Residents. 3. Data for 1995, 2000 and 2005 are not available as the Comprehensive Labour Force Survey was not conducted in these years due to the conduct of the Census and General Household Survey by the Singapore Department of Statistics. 4. June 2007 data have been adjusted based on latest revised population estimates from DOS to facilitate comparisons with June 2008 onwards. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M920171

Last updated
Coverage
1991-01-01 – 2024-12-31
Rows
3
Columns
32

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
Total 1613.000000 1592.100000 1603.100000 1512.500000 1498.800000 1507.400000 1483.700000 1484.600000 1456.200000 1433.600000 1414.200000
Male 879.800000 878.500000 903.300000 853.700000 855.100000 858.000000 852.000000 856.400000 833.200000 827.700000 823.500000
Female 733.300000 713.600000 699.800000 658.800000 643.700000 649.500000 631.700000 628.200000 623.000000 605.900000 590.600000

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
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
2004 Numeric No
2003 Numeric No
2002 Numeric No
2001 Numeric No
1999 Numeric No
1998 Numeric No
1997 Numeric No
1996 Numeric No
1994 Numeric No
1993 Numeric No
1992 Numeric No
1991 Numeric No