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D
CSV Singapore Department of Statistics

Average Number Of Children Born By Age Group Of Citizen Ever-Married Females, Annual

Description

Annual average number of children born by age group of Singapore citizen ever-married females from 1980 through 2025, combining Census, General Household Survey, and Labour Force Survey sources. Fertility researchers track completed and age-specific childbearing among citizen mothers. Adapted from SingStat TableBuilder TS/M810701.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/06/2026 Update Frequency: Annual Footnotes: Data for 1980, 1990, 2000, 2010 and 2020 are based on the Census of Population while data for 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/M810701

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Last updated
Coverage
1980-01-01 – 2025-12-31
Rows
5
Columns
43

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 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1980
15 Years & Over 1.920000 1.920000 1.970000 2.020000 2.010000 2.130000 2.090000 2.150000 2.180000 2.190000 2.260000 2.280000 2.280000 2.310000 2.350000 2.400000 2.390000 2.400000 2.430000 2.470000 2.510000 2.510000 2.500000 2.520000 2.540000 2.650000 2.490000 2.470000 2.520000 2.660000 2.800000 2.860000 2.880000 2.910000 2.880000 3.020000 3.000000 3.060000 3.120000 3.160000 3.180000 3.470000
15 - 29 Years 0.640000 0.570000 0.760000 0.820000 0.750000 0.790000 0.830000 0.810000 0.820000 0.770000 0.790000 0.790000 0.840000 0.820000 0.860000 0.870000 0.850000 0.740000 0.810000 0.730000 0.750000 0.720000 0.670000 0.780000 0.780000 0.810000 0.800000 0.840000 0.850000 0.950000 1.010000 1.040000 1.040000 1.100000 1.000000 1.140000 1.070000 1.110000 1.120000 1.150000 1.200000 1.310000
30 - 39 Years 1.330000 1.360000 1.420000 1.390000 1.360000 1.440000 1.440000 1.480000 1.460000 1.460000 1.490000 1.450000 1.480000 1.480000 1.520000 1.550000 1.570000 1.580000 1.570000 1.620000 1.690000 1.710000 1.700000 1.740000 1.800000 1.840000 1.780000 1.740000 1.790000 1.890000 1.930000 1.950000 1.940000 1.950000 1.920000 2.020000 2.010000 2.050000 2.140000 2.210000 2.250000 2.640000
40 - 49 Years 1.750000 1.760000 1.800000 1.800000 1.740000 1.810000 1.830000 1.860000 1.900000 1.900000 1.910000 1.930000 1.980000 1.990000 2.060000 2.080000 2.080000 2.110000 2.120000 2.130000 2.160000 2.150000 2.130000 2.170000 2.170000 2.220000 2.160000 2.120000 2.200000 2.320000 2.460000 2.530000 2.600000 2.680000 2.760000 2.920000 3.090000 3.240000 3.430000 3.540000 3.700000 4.430000
50 Years & Over 2.140000 2.150000 2.210000 2.310000 2.340000 2.480000 2.410000 2.500000 2.540000 2.570000 2.670000 2.690000 2.710000 2.780000 2.830000 2.960000 2.960000 3.000000 3.070000 3.180000 3.330000 3.320000 3.390000 3.450000 3.580000 3.870000 3.560000 3.600000 3.760000 4.050000 4.340000 4.460000 4.550000 4.610000 4.720000 4.740000 4.790000 4.900000 4.830000 4.880000 4.840000 5.030000

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
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
1980 Numeric No