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CSV Singapore Department of Statistics

Malay Resident Population by Age Group, Dialect Group and Sex (General Household Survey 2015)

Description

General Household Survey 2015 breakdown of Singapore's Malay resident population by age group, dialect group, and sex, published by the Singapore Department of Statistics. The 19 rows cover successive age bands while the 16 columns give totals and the Malay, Javanese, Boyanese, and other Malay dialect groups, each split by males and females. Demographers and community researchers use the table to examine the internal composition and age structure of the Malay community. Adapted from SingStat TableBuilder CT/8183.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 09/03/2016 Update Frequency: 10 years Survey period: General Household Survey 2015 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8183

Download CSV View on data.gov.sg
Last updated
Rows
19
Columns
16

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (Malay) Total (Malay) Males (Malay) Females (Javanese) Total (Javanese) Males (Javanese) Females (Boyanese) Total (Boyanese) Males (Boyanese) Females (Other Malays) Total (Other Malays) Males (Other Malays) Females
Total 520923.000000 259108.000000 261815.000000 352963.000000 176672.000000 176291.000000 91117.000000 45653.000000 45464.000000 58549.000000 29610.000000 28939.000000 18294.000000 7173.000000 11121.000000
0 - 4 31691.000000 16276.000000 15415.000000 22277.000000 11423.000000 10854.000000 4911.000000 2569.000000 2342.000000 3169.000000 1633.000000 1536.000000 1334.000000 651.000000 683.000000
5 - 9 32359.000000 16575.000000 15784.000000 21866.000000 11205.000000 10661.000000 5403.000000 2748.000000 2655.000000 3800.000000 1989.000000 1811.000000 1290.000000 633.000000 657.000000
10 - 14 36764.000000 19016.000000 17748.000000 24656.000000 12785.000000 11871.000000 6221.000000 3245.000000 2976.000000 4421.000000 2257.000000 2164.000000 1466.000000 729.000000 737.000000
15 - 19 43584.000000 22504.000000 21080.000000 29991.000000 15450.000000 14541.000000 7399.000000 3859.000000 3540.000000 4987.000000 2606.000000 2381.000000 1207.000000 589.000000 618.000000
20 - 24 48590.000000 25006.000000 23584.000000 33425.000000 17194.000000 16231.000000 8699.000000 4407.000000 4292.000000 5359.000000 2843.000000 2516.000000 1107.000000 562.000000 545.000000
25 - 29 44466.000000 22571.000000 21895.000000 30368.000000 15396.000000 14972.000000 8120.000000 4103.000000 4017.000000 4892.000000 2556.000000 2336.000000 1086.000000 516.000000 570.000000
30 - 34 37710.000000 18850.000000 18860.000000 24982.000000 12702.000000 12280.000000 6808.000000 3518.000000 3290.000000 4184.000000 2101.000000 2083.000000 1736.000000 529.000000 1207.000000
35 - 39 29582.000000 14181.000000 15401.000000 18960.000000 9535.000000 9425.000000 5099.000000 2503.000000 2596.000000 3283.000000 1651.000000 1632.000000 2240.000000 492.000000 1748.000000
40 - 44 32543.000000 15801.000000 16742.000000 21348.000000 10707.000000 10641.000000 5452.000000 2686.000000 2766.000000 3720.000000 1866.000000 1854.000000 2023.000000 542.000000 1481.000000
45 - 49 37208.000000 18047.000000 19161.000000 25169.000000 12281.000000 12888.000000 6205.000000 3054.000000 3151.000000 4266.000000 2146.000000 2120.000000 1568.000000 566.000000 1002.000000
50 - 54 43192.000000 21406.000000 21786.000000 30135.000000 14981.000000 15154.000000 7258.000000 3591.000000 3667.000000 4690.000000 2363.000000 2327.000000 1109.000000 471.000000 638.000000
55 - 59 36525.000000 18189.000000 18336.000000 24858.000000 12415.000000 12443.000000 6977.000000 3478.000000 3499.000000 4024.000000 2018.000000 2006.000000 666.000000 278.000000 388.000000
60 - 64 26108.000000 12584.000000 13524.000000 17612.000000 8477.000000 9135.000000 5022.000000 2429.000000 2593.000000 3027.000000 1478.000000 1549.000000 447.000000 200.000000 247.000000
65 - 69 17131.000000 8046.000000 9085.000000 11280.000000 5218.000000 6062.000000 3353.000000 1662.000000 1691.000000 2075.000000 961.000000 1114.000000 423.000000 205.000000 218.000000
70 - 74 8467.000000 3721.000000 4746.000000 5429.000000 2329.000000 3100.000000 1777.000000 817.000000 960.000000 1057.000000 493.000000 564.000000 204.000000 82.000000 122.000000
75 - 79 7118.000000 3126.000000 3992.000000 4847.000000 2140.000000 2707.000000 1334.000000 573.000000 761.000000 755.000000 353.000000 402.000000 182.000000 60.000000 122.000000
80 - 84 4842.000000 1906.000000 2936.000000 3529.000000 1448.000000 2081.000000 658.000000 230.000000 428.000000 528.000000 191.000000 337.000000 127.000000 37.000000 90.000000
85 & Over 3043.000000 1303.000000 1740.000000 2231.000000 986.000000 1245.000000 421.000000 181.000000 240.000000 312.000000 105.000000 207.000000 79.000000 31.000000 48.000000

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Malay) Total Numeric No
(Malay) Males Numeric No
(Malay) Females Numeric No
(Javanese) Total Numeric No
(Javanese) Males Numeric No
(Javanese) Females Numeric No
(Boyanese) Total Numeric No
(Boyanese) Males Numeric No
(Boyanese) Females Numeric No
(Other Malays) Total Numeric No
(Other Malays) Males Numeric No
(Other Malays) Females Numeric No