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CSV Singapore Department of Statistics

Resident Households by Age Group, Ethnic Group and Sex of Head of Household (General Household Survey 2005)

Description

General Household Survey 2005 counts of resident households by age group, ethnic group, and sex of the head of household. Demographers profile household-head composition at the 2005 benchmark using Singapore Department of Statistics CSV. Adapted from SingStat TableBuilder CT/8754.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/03/2016 Update Frequency: 10 years Survey period: General Household Survey 2005 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8754

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 1024458.000000 824127.000000 200330.000000 799335.000000 637358.000000 161977.000000 117467.000000 97553.000000 19915.000000 86276.000000 71928.000000 14348.000000 21380.000000 17288.000000 4091.000000
Below 25 6076.000000 3806.000000 2270.000000 4177.000000 2559.000000 1617.000000 1063.000000 700.000000 363.000000 546.000000 401.000000 145.000000 291.000000 145.000000 145.000000
25 - 29 38230.000000 30014.000000 8215.000000 28635.000000 22161.000000 6474.000000 5016.000000 4186.000000 830.000000 3607.000000 3067.000000 540.000000 972.000000 601.000000 371.000000
30 - 34 93954.000000 80457.000000 13497.000000 69704.000000 59188.000000 10516.000000 11285.000000 9626.000000 1658.000000 10345.000000 9458.000000 886.000000 2621.000000 2185.000000 436.000000
35 - 39 132071.000000 112834.000000 19237.000000 96606.000000 81857.000000 14750.000000 17295.000000 14936.000000 2358.000000 14146.000000 12632.000000 1514.000000 4024.000000 3409.000000 616.000000
40 - 44 160615.000000 134837.000000 25777.000000 118988.000000 99179.000000 19810.000000 22825.000000 19431.000000 3394.000000 14846.000000 12748.000000 2097.000000 3956.000000 3479.000000 476.000000
45 - 49 158518.000000 130283.000000 28235.000000 122352.000000 99837.000000 22515.000000 20221.000000 17203.000000 3018.000000 12944.000000 10837.000000 2107.000000 3002.000000 2407.000000 595.000000
50 - 54 140070.000000 112521.000000 27549.000000 112585.000000 90555.000000 22031.000000 15315.000000 12451.000000 2863.000000 9904.000000 7561.000000 2343.000000 2266.000000 1954.000000 312.000000
55 - 59 108878.000000 86934.000000 21945.000000 89486.000000 71480.000000 18006.000000 10365.000000 8305.000000 2060.000000 7312.000000 5762.000000 1550.000000 1716.000000 1386.000000 329.000000
60 - 64 62323.000000 48850.000000 13474.000000 53321.000000 41837.000000 11484.000000 4640.000000 3745.000000 894.000000 3513.000000 2577.000000 936.000000 850.000000 690.000000 160.000000
65 - 69 49248.000000 36464.000000 12784.000000 41747.000000 30889.000000 10859.000000 3822.000000 3006.000000 816.000000 3041.000000 2185.000000 856.000000 638.000000 385.000000 253.000000
70 - 74 35782.000000 24052.000000 11730.000000 29095.000000 19310.000000 9784.000000 3083.000000 2137.000000 946.000000 3098.000000 2286.000000 812.000000 506.000000 318.000000 188.000000
75 & Over 38693.000000 23076.000000 15617.000000 32638.000000 18506.000000 14132.000000 2540.000000 1827.000000 713.000000 2976.000000 2413.000000 563.000000 539.000000 329.000000 210.000000

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