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CSV Singapore Department of Statistics

Resident Population Below 1 Year of Age by Month, Ethnic Group and Sex (Census of Population 2020)

Description

Census of Population 2020 counts of Singapore resident population below one year of age by month of age, ethnic group (Chinese, Malays, Indians, Others), and sex. The Department of Statistics CSV supports infant demography and early-age structure research at the 2020 census benchmark. Adapted from SingStat TableBuilder CT/17395.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 12/06/2026 Update Frequency: 10 years Survey period: Census of Population 2020 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17395

Download CSV View on data.gov.sg
Last updated
Rows
13
Columns
16

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (Chinese) Total (Chinese) Males (Chinese) Females (Malays) Total (Malays) Males (Malays) Females (Indians) Total (Indians) Males (Indians) Females (Others) Total (Others) Males (Others) Females
Total 33434.000000 17041.000000 16393.000000 21980.000000 11176.000000 10804.000000 8017.000000 4113.000000 3904.000000 2417.000000 1249.000000 1168.000000 1020.000000 503.000000 517.000000
Below 1 Month 2013.000000 1043.000000 970.000000 1258.000000 650.000000 608.000000 564.000000 303.000000 261.000000 129.000000 67.000000 62.000000 62.000000 23.000000 39.000000
1 Month 2684.000000 1420.000000 1264.000000 1714.000000 898.000000 816.000000 691.000000 358.000000 333.000000 196.000000 120.000000 76.000000 83.000000 44.000000 39.000000
2 Months 2606.000000 1350.000000 1256.000000 1679.000000 869.000000 810.000000 677.000000 350.000000 327.000000 183.000000 95.000000 88.000000 67.000000 36.000000 31.000000
3 Months 2651.000000 1347.000000 1304.000000 1725.000000 860.000000 865.000000 650.000000 334.000000 316.000000 205.000000 113.000000 92.000000 71.000000 40.000000 31.000000
4 Months 2528.000000 1301.000000 1227.000000 1654.000000 871.000000 783.000000 619.000000 309.000000 310.000000 185.000000 88.000000 97.000000 70.000000 33.000000 37.000000
5 Months 2894.000000 1507.000000 1387.000000 1859.000000 948.000000 911.000000 721.000000 390.000000 331.000000 218.000000 121.000000 97.000000 96.000000 48.000000 48.000000
6 Months 2855.000000 1424.000000 1431.000000 1893.000000 941.000000 952.000000 656.000000 326.000000 330.000000 220.000000 113.000000 107.000000 86.000000 44.000000 42.000000
7 Months 3039.000000 1538.000000 1501.000000 2064.000000 1043.000000 1021.000000 682.000000 346.000000 336.000000 205.000000 104.000000 101.000000 88.000000 45.000000 43.000000
8 Months 3158.000000 1609.000000 1549.000000 2115.000000 1078.000000 1037.000000 712.000000 374.000000 338.000000 226.000000 103.000000 123.000000 105.000000 54.000000 51.000000
9 Months 3111.000000 1547.000000 1564.000000 2121.000000 1040.000000 1081.000000 671.000000 347.000000 324.000000 220.000000 116.000000 104.000000 99.000000 44.000000 55.000000
10 Months 2874.000000 1443.000000 1431.000000 1880.000000 964.000000 916.000000 701.000000 338.000000 363.000000 199.000000 99.000000 100.000000 94.000000 42.000000 52.000000
11 Months 3021.000000 1512.000000 1509.000000 2018.000000 1014.000000 1004.000000 673.000000 338.000000 335.000000 231.000000 110.000000 121.000000 99.000000 50.000000 49.000000

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Chinese) Total Numeric No
(Chinese) Males Numeric No
(Chinese) Females Numeric No
(Malays) Total Numeric No
(Malays) Males Numeric No
(Malays) Females Numeric No
(Indians) Total Numeric No
(Indians) Males Numeric No
(Indians) Females Numeric No
(Others) Total Numeric No
(Others) Males Numeric No
(Others) Females Numeric No