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D

Proportion Of Singles Among Resident Population By Selected Age Group And Sex, Annual

Description

Annual SingStat series of the proportion of never-married singles among Singapore’s resident population by selected age group and sex from 1980 through 2025. Census and General Household Survey years anchor the series; other years use the Comprehensive June Labour Force Survey. Demographers track delayed marriage and singleness by age and sex. Adapted from SingStat TableBuilder TS/M810581.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/06/2026 Update Frequency: Annual Footnotes: Data refers to those who are never-married. Data for 1980, 1990, 2000, 2010 and 2020 are based on the Census of Population while data for 1995, 2005, 2015 and 2025 are based on the General Household Survey. Data for all other years are based on the Comprehensive June Labour Force Survey. Survey estimates are subject to sampling variability. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M810581

Last updated
Coverage
1980-01-01 – 2025-12-31
Rows
18
Columns
45

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 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1980
20-24 Years 98.200000 97.900000 97.800000 97.800000 96.900000 97.100000 97.100000 97.100000 96.700000 96.900000 97.200000 97.700000 96.700000 96.400000 96.100000 94.800000 95.100000 94.400000 93.100000 93.300000 91.500000 93.100000 93.000000 93.200000 91.600000 89.600000 91.300000 91.400000 90.300000 89.300000 90.100000 89.400000 90.300000 88.900000 88.800000 86.500000 89.100000 89.400000 88.500000 87.700000 87.400000 86.100000 85.900000 83.100000
Males 99.000000 98.700000 98.600000 98.800000 98.400000 98.300000 98.100000 98.500000 98.500000 98.400000 98.800000 98.800000 98.400000 98.300000 98.700000 97.600000 97.700000 97.400000 97.400000 97.300000 96.300000 97.800000 97.400000 97.800000 96.800000 95.200000 97.200000 96.500000 95.800000 95.700000 96.200000 96.000000 95.800000 95.500000 95.500000 94.200000 95.500000 95.300000 95.100000 94.300000 94.300000 93.400000 93.600000 92.100000
Females 97.200000 96.900000 96.900000 96.600000 95.400000 95.900000 95.900000 95.600000 94.700000 95.200000 95.600000 96.500000 94.900000 94.400000 93.400000 91.800000 92.100000 91.100000 88.700000 89.000000 86.500000 88.100000 88.300000 88.400000 86.100000 83.800000 85.400000 86.000000 84.600000 82.900000 83.600000 82.800000 84.500000 82.200000 81.700000 78.500000 82.500000 83.200000 81.500000 80.700000 80.100000 78.300000 77.700000 73.700000
25-29 Years 79.700000 78.500000 77.100000 75.800000 77.100000 75.300000 73.900000 72.800000 71.700000 71.200000 71.400000 74.300000 71.300000 70.500000 67.100000 64.000000 65.100000 62.600000 63.000000 62.700000 58.100000 60.200000 56.700000 57.500000 53.400000 51.700000 53.200000 55.000000 53.900000 52.200000 53.800000 53.300000 55.400000 54.300000 53.800000 51.800000 56.400000 54.400000 52.600000 53.900000 52.400000 51.100000 50.600000 44.400000
Males 85.900000 83.400000 83.800000 82.000000 83.500000 81.600000 80.500000 79.800000 78.800000 78.500000 80.200000 82.500000 80.800000 81.500000 77.000000 74.600000 76.500000 74.500000 75.000000 74.700000 70.600000 73.000000 70.000000 70.100000 66.800000 64.200000 66.900000 69.700000 67.400000 66.000000 67.000000 66.700000 68.400000 66.900000 66.700000 64.100000 67.900000 66.600000 65.100000 65.400000 63.200000 62.300000 61.600000 54.800000
Females 73.400000 73.400000 70.100000 69.500000 70.500000 69.000000 66.900000 66.000000 64.600000 64.000000 63.000000 66.000000 62.400000 59.700000 57.600000 54.000000 54.300000 51.700000 52.200000 52.100000 46.300000 48.500000 45.000000 46.200000 41.500000 40.200000 40.900000 41.700000 41.200000 39.900000 40.600000 40.100000 42.100000 41.900000 40.700000 39.300000 44.400000 41.700000 40.200000 42.100000 41.600000 39.900000 39.300000 33.600000
30-34 Years 41.100000 40.100000 39.300000 36.300000 40.300000 37.100000 34.800000 33.500000 32.400000 31.800000 31.200000 32.100000 32.900000 31.600000 31.100000 30.800000 29.500000 29.300000 27.900000 28.300000 27.700000 26.700000 26.500000 25.900000 24.500000 24.900000 24.500000 24.900000 25.100000 25.400000 26.700000 26.200000 28.300000 28.000000 26.700000 27.600000 26.200000 25.700000 24.900000 24.400000 23.900000 22.200000 21.900000 19.000000
Males 47.600000 45.200000 45.200000 41.100000 45.700000 41.900000 40.900000 40.400000 37.800000 37.700000 37.500000 38.800000 39.600000 38.600000 38.100000 37.100000 36.500000 35.100000 34.200000 35.300000 33.900000 33.200000 33.000000 33.200000 30.500000 30.700000 30.900000 30.400000 31.400000 30.500000 33.600000 32.800000 35.800000 34.600000 32.700000 34.000000 32.900000 31.400000 30.300000 29.400000 28.600000 25.300000 24.800000 21.300000
Females 34.700000 35.300000 33.700000 31.800000 35.400000 32.800000 29.400000 27.400000 27.700000 26.500000 25.500000 26.100000 27.000000 25.600000 25.000000 25.100000 23.300000 24.400000 22.300000 22.200000 22.100000 20.800000 20.800000 19.500000 19.100000 19.500000 18.300000 19.800000 19.100000 20.700000 20.000000 19.800000 21.000000 21.200000 20.700000 20.900000 19.500000 20.100000 19.500000 19.500000 19.300000 19.200000 18.900000 16.600000
35-39 Years 22.300000 21.100000 21.100000 20.400000 21.600000 20.900000 18.300000 18.300000 18.800000 19.300000 18.700000 20.200000 19.400000 17.600000 18.400000 18.700000 17.300000 17.600000 17.000000 17.500000 17.300000 16.100000 18.600000 16.500000 15.800000 17.400000 17.400000 17.500000 16.600000 16.800000 17.500000 16.400000 16.100000 15.900000 15.000000 16.500000 13.800000 13.200000 12.500000 12.300000 11.800000 11.100000 11.600000 9.500000
Males 24.400000 22.700000 23.100000 23.200000 23.400000 22.600000 19.400000 20.200000 20.500000 21.200000 20.600000 21.600000 20.900000 18.800000 20.100000 20.400000 18.800000 20.000000 18.900000 19.100000 19.600000 17.600000 20.400000 19.100000 17.400000 19.700000 20.300000 20.200000 18.900000 18.900000 20.000000 19.100000 17.900000 17.800000 16.000000 18.100000 15.700000 14.500000 13.000000 12.700000 11.900000 10.900000 11.900000 10.500000
Females 20.300000 19.600000 19.300000 17.900000 19.900000 19.300000 17.500000 16.700000 17.300000 17.500000 17.000000 18.800000 18.000000 16.500000 16.800000 17.100000 15.900000 15.300000 15.100000 15.900000 15.000000 14.600000 16.800000 13.800000 14.200000 15.100000 14.400000 14.900000 14.400000 14.700000 14.900000 13.800000 14.200000 13.900000 13.900000 14.800000 12.000000 12.000000 12.100000 11.900000 11.700000 11.200000 11.300000 8.500000
40-44 Years 15.700000 15.200000 15.900000 16.300000 17.400000 16.600000 14.400000 15.400000 14.700000 14.800000 15.300000 15.200000 14.400000 12.600000 14.300000 14.700000 13.900000 13.300000 13.900000 13.800000 14.700000 13.800000 14.900000 14.500000 14.500000 14.200000 14.100000 13.400000 13.300000 12.100000 12.300000 11.500000 10.500000 10.800000 10.000000 11.200000 6.900000 7.600000 7.100000 6.700000 6.500000 5.700000 6.100000 7.000000
Males 15.800000 15.800000 15.900000 16.400000 16.100000 16.700000 14.000000 15.700000 14.500000 14.600000 15.400000 15.100000 15.100000 13.000000 14.600000 15.300000 15.000000 14.500000 14.900000 15.200000 15.200000 14.900000 16.000000 14.800000 14.900000 14.800000 14.500000 13.100000 14.300000 12.400000 11.900000 11.100000 10.600000 10.100000 9.000000 10.900000 6.800000 7.800000 7.300000 6.900000 6.700000 6.200000 7.000000 8.100000
Females 15.600000 14.700000 16.000000 16.200000 18.600000 16.400000 14.700000 15.100000 14.900000 15.000000 15.300000 15.300000 13.800000 12.200000 14.100000 14.100000 12.800000 12.300000 12.800000 12.400000 14.300000 12.700000 13.800000 14.300000 14.000000 13.600000 13.700000 13.700000 12.400000 11.800000 12.800000 12.000000 10.400000 11.600000 11.000000 11.500000 7.000000 7.300000 6.800000 6.500000 6.200000 5.300000 5.200000 5.900000
45-49 Years 14.000000 13.600000 13.800000 14.400000 14.900000 14.700000 13.400000 13.000000 13.100000 12.700000 13.700000 13.100000 12.700000 12.700000 12.300000 13.000000 12.200000 12.200000 12.400000 12.900000 13.100000 12.500000 12.600000 12.000000 12.000000 11.500000 11.600000 11.100000 10.200000 8.800000 9.500000 7.700000 7.100000 7.300000 6.900000 7.900000 4.500000 4.900000 4.700000 4.900000 4.800000 4.900000 4.700000 5.200000
Males 13.900000 12.500000 13.600000 13.200000 13.000000 14.100000 12.400000 13.100000 12.000000 12.600000 12.900000 12.600000 12.100000 12.500000 12.100000 13.200000 12.300000 12.800000 12.400000 12.700000 12.800000 13.100000 12.100000 11.800000 11.400000 10.500000 9.800000 9.300000 9.000000 7.900000 8.200000 7.100000 6.300000 7.300000 6.500000 8.500000 4.800000 5.400000 5.200000 5.100000 5.200000 5.500000 5.900000 6.400000
Females 14.100000 14.600000 14.000000 15.500000 16.700000 15.300000 14.400000 12.800000 14.100000 12.900000 14.500000 13.500000 13.300000 13.000000 12.600000 12.800000 12.200000 11.600000 12.500000 13.200000 13.300000 12.000000 13.000000 12.300000 12.700000 12.500000 13.300000 12.800000 11.600000 9.700000 10.700000 8.300000 8.000000 7.200000 7.200000 7.300000 4.300000 4.300000 4.100000 4.800000 4.500000 4.300000 3.500000 4.100000

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
1999 Numeric No
1998 Numeric No
1997 Numeric No
1996 Numeric No
1995 Numeric No
1994 Numeric No
1993 Numeric No
1992 Numeric No
1991 Numeric No
1990 Numeric No
1989 Numeric No
1988 Numeric No
1987 Numeric No
1986 Numeric No
1985 Numeric No
1984 Numeric No
1983 Numeric No
1980 Numeric No