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CSV Singapore Department of Statistics

Resident Population Born In Singapore by Age Group, Ethnic Group and Sex (Census of Population 2020)

Description

Census of Population 2020 counts of Singapore-born residents by age group, ethnic group, and sex. Age rows are cross-tabulated for Chinese, Malays, Indians, other ethnic groups, and the resident total, with male and female breakdowns. Demographers can examine the age and gender structure of locally born communities, compare ethnic profiles, and distinguish these patterns from those of overseas-born residents. Adapted from SingStat TableBuilder CT/17403.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 16/06/2021 Update Frequency: 10 years Survey period: Census of Population 2020 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17403

Download CSV View on data.gov.sg
Last updated
Rows
20
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 3096630.000000 1570296.000000 1526334.000000 2323465.000000 1177958.000000 1145507.000000 512222.000000 260208.000000 252014.000000 216884.000000 110007.000000 106877.000000 44059.000000 22123.000000 21936.000000
0 - 4 171826.000000 88000.000000 83826.000000 113883.000000 58279.000000 55604.000000 38195.000000 19628.000000 18567.000000 14208.000000 7350.000000 6858.000000 5540.000000 2743.000000 2797.000000
5 - 9 174929.000000 90038.000000 84891.000000 120973.000000 62629.000000 58344.000000 31410.000000 16154.000000 15256.000000 16321.000000 8268.000000 8053.000000 6225.000000 2987.000000 3238.000000
10 - 14 175046.000000 89906.000000 85140.000000 120830.000000 62270.000000 58560.000000 31805.000000 16336.000000 15469.000000 16491.000000 8387.000000 8104.000000 5920.000000 2913.000000 3007.000000
15 - 19 182578.000000 94263.000000 88315.000000 126862.000000 65507.000000 61355.000000 36124.000000 18713.000000 17411.000000 15515.000000 8002.000000 7513.000000 4077.000000 2041.000000 2036.000000
20 - 24 213384.000000 110490.000000 102894.000000 150469.000000 78060.000000 72409.000000 42952.000000 22178.000000 20774.000000 16577.000000 8538.000000 8039.000000 3386.000000 1714.000000 1672.000000
25 - 29 233222.000000 120371.000000 112851.000000 164624.000000 85124.000000 79500.000000 47805.000000 24666.000000 23139.000000 18036.000000 9171.000000 8865.000000 2757.000000 1410.000000 1347.000000
30 - 34 212601.000000 110181.000000 102420.000000 150653.000000 78337.000000 72316.000000 43229.000000 22113.000000 21116.000000 16308.000000 8470.000000 7838.000000 2411.000000 1261.000000 1150.000000
35 - 39 192051.000000 99715.000000 92336.000000 140994.000000 73350.000000 67644.000000 35352.000000 18202.000000 17150.000000 13830.000000 7189.000000 6641.000000 1875.000000 974.000000 901.000000
40 - 44 183081.000000 94518.000000 88563.000000 144911.000000 74840.000000 70071.000000 25804.000000 13333.000000 12471.000000 10904.000000 5599.000000 5305.000000 1462.000000 746.000000 716.000000
45 - 49 205280.000000 105532.000000 99748.000000 162816.000000 83742.000000 79074.000000 29025.000000 14867.000000 14158.000000 12034.000000 6158.000000 5876.000000 1405.000000 765.000000 640.000000
50 - 54 211056.000000 107365.000000 103691.000000 161124.000000 82214.000000 78910.000000 34108.000000 17050.000000 17058.000000 14358.000000 7332.000000 7026.000000 1466.000000 769.000000 697.000000
55 - 59 242705.000000 123207.000000 119498.000000 185110.000000 94283.000000 90827.000000 39289.000000 19691.000000 19598.000000 16520.000000 8274.000000 8246.000000 1786.000000 959.000000 827.000000
60 - 64 239299.000000 120423.000000 118876.000000 190754.000000 96096.000000 94658.000000 31865.000000 15954.000000 15911.000000 14887.000000 7408.000000 7479.000000 1793.000000 965.000000 828.000000
65 - 69 186863.000000 93071.000000 93792.000000 153505.000000 76724.000000 76781.000000 21483.000000 10515.000000 10968.000000 10423.000000 5089.000000 5334.000000 1452.000000 743.000000 709.000000
70 - 74 130426.000000 62954.000000 67472.000000 110143.000000 53277.000000 56866.000000 12794.000000 6116.000000 6678.000000 6362.000000 2991.000000 3371.000000 1127.000000 570.000000 557.000000
75 - 79 64440.000000 29720.000000 34720.000000 57086.000000 26338.000000 30748.000000 4933.000000 2247.000000 2686.000000 1969.000000 919.000000 1050.000000 452.000000 216.000000 236.000000
80 - 84 45720.000000 19982.000000 25738.000000 40555.000000 17723.000000 22832.000000 3392.000000 1507.000000 1885.000000 1305.000000 559.000000 746.000000 468.000000 193.000000 275.000000
85 - 89 22464.000000 7993.000000 14471.000000 19622.000000 6966.000000 12656.000000 1941.000000 693.000000 1248.000000 623.000000 236.000000 387.000000 278.000000 98.000000 180.000000
90 & over 9659.000000 2567.000000 7092.000000 8551.000000 2199.000000 6352.000000 716.000000 245.000000 471.000000 213.000000 67.000000 146.000000 179.000000 56.000000 123.000000

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