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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 2000)

Description

Census of Population 2000 counts of resident population below one year of age by month of birth, ethnic group, and sex. Demographers examine infant cohort composition at the 2000 census benchmark using the Singapore Department of Statistics CSV. Adapted from SingStat TableBuilder CT/8852.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 29/03/2016 Update Frequency: 10 years Survey period: Census of Population 2000 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8852

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 40813.000000 21166.000000 19647.000000 28446.000000 14823.000000 13623.000000 7991.000000 4063.000000 3928.000000 3621.000000 1891.000000 1730.000000 755.000000 389.000000 366.000000
Below 1 Month 2218.000000 1159.000000 1059.000000 1478.000000 774.000000 704.000000 518.000000 262.000000 256.000000 180.000000 99.000000 81.000000 42.000000 24.000000 18.000000
1 Month 3671.000000 1862.000000 1809.000000 2572.000000 1305.000000 1267.000000 729.000000 379.000000 350.000000 301.000000 150.000000 151.000000 69.000000 28.000000 41.000000
2 Months 3389.000000 1785.000000 1604.000000 2428.000000 1276.000000 1152.000000 638.000000 325.000000 313.000000 262.000000 152.000000 110.000000 61.000000 32.000000 29.000000
3 Months 3616.000000 1881.000000 1735.000000 2565.000000 1338.000000 1227.000000 682.000000 357.000000 325.000000 308.000000 149.000000 159.000000 61.000000 37.000000 24.000000
4 Months 3398.000000 1764.000000 1634.000000 2394.000000 1240.000000 1154.000000 658.000000 332.000000 326.000000 286.000000 157.000000 129.000000 60.000000 35.000000 25.000000
5 Months 3387.000000 1690.000000 1697.000000 2332.000000 1177.000000 1155.000000 676.000000 323.000000 353.000000 321.000000 161.000000 160.000000 58.000000 29.000000 29.000000
6 Months 3603.000000 1908.000000 1695.000000 2477.000000 1313.000000 1164.000000 719.000000 379.000000 340.000000 335.000000 177.000000 158.000000 72.000000 39.000000 33.000000
7 Months 3682.000000 1929.000000 1753.000000 2574.000000 1370.000000 1204.000000 683.000000 341.000000 342.000000 351.000000 182.000000 169.000000 74.000000 36.000000 38.000000
8 Months 3567.000000 1843.000000 1724.000000 2467.000000 1297.000000 1170.000000 694.000000 341.000000 353.000000 337.000000 172.000000 165.000000 69.000000 33.000000 36.000000
9 Months 3567.000000 1870.000000 1697.000000 2525.000000 1318.000000 1207.000000 659.000000 348.000000 311.000000 315.000000 168.000000 147.000000 68.000000 36.000000 32.000000
10 Months 3527.000000 1804.000000 1723.000000 2425.000000 1237.000000 1188.000000 721.000000 369.000000 352.000000 323.000000 174.000000 149.000000 58.000000 24.000000 34.000000
11 Months 3188.000000 1671.000000 1517.000000 2209.000000 1178.000000 1031.000000 614.000000 307.000000 307.000000 302.000000 150.000000 152.000000 63.000000 36.000000 27.000000

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