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D

Malay Resident Population by Age Group, Dialect Group and Sex (Census of Population 2000)

Description

Census of Population 2000 counts of Malay resident population in Singapore by age group, dialect group, and sex. Ethnic demographers study Malay community age and dialect profiles at the 2000 benchmark. Adapted from SingStat TableBuilder CT/8849.

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/8849

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 455207.000000 228850.000000 226357.000000 310798.000000 156496.000000 154302.000000 80339.000000 40584.000000 39755.000000 52046.000000 26399.000000 25647.000000 12024.000000 5371.000000 6653.000000
0 - 4 43047.000000 22252.000000 20795.000000 29589.000000 15238.000000 14351.000000 7342.000000 3829.000000 3513.000000 5021.000000 2623.000000 2398.000000 1095.000000 562.000000 533.000000
5 - 9 48797.000000 25183.000000 23614.000000 33499.000000 17287.000000 16212.000000 8734.000000 4427.000000 4307.000000 5428.000000 2873.000000 2555.000000 1136.000000 596.000000 540.000000
10 - 14 44598.000000 22826.000000 21772.000000 30425.000000 15502.000000 14923.000000 8161.000000 4158.000000 4003.000000 4944.000000 2594.000000 2350.000000 1068.000000 572.000000 496.000000
15 - 19 36915.000000 18992.000000 17923.000000 25191.000000 12952.000000 12239.000000 6725.000000 3542.000000 3183.000000 4252.000000 2146.000000 2106.000000 747.000000 352.000000 395.000000
20 - 24 27913.000000 14266.000000 13647.000000 18944.000000 9732.000000 9212.000000 4917.000000 2546.000000 2371.000000 3358.000000 1699.000000 1659.000000 694.000000 289.000000 405.000000
25 - 29 32451.000000 16214.000000 16237.000000 22020.000000 11146.000000 10874.000000 5481.000000 2760.000000 2721.000000 3842.000000 1938.000000 1904.000000 1108.000000 370.000000 738.000000
30 - 34 38241.000000 18802.000000 19439.000000 26204.000000 12910.000000 13294.000000 6354.000000 3163.000000 3191.000000 4423.000000 2226.000000 2197.000000 1260.000000 503.000000 757.000000
35 - 39 45771.000000 22923.000000 22848.000000 31909.000000 15977.000000 15932.000000 7627.000000 3805.000000 3822.000000 4934.000000 2506.000000 2428.000000 1301.000000 635.000000 666.000000
40 - 44 39481.000000 19858.000000 19623.000000 26865.000000 13561.000000 13304.000000 7424.000000 3720.000000 3704.000000 4370.000000 2218.000000 2152.000000 822.000000 359.000000 463.000000
45 - 49 29337.000000 14459.000000 14878.000000 19752.000000 9746.000000 10006.000000 5573.000000 2757.000000 2816.000000 3404.000000 1716.000000 1688.000000 608.000000 240.000000 368.000000
50 - 54 20467.000000 10000.000000 10467.000000 13383.000000 6520.000000 6863.000000 3907.000000 1986.000000 1921.000000 2541.000000 1234.000000 1307.000000 636.000000 260.000000 376.000000
55 - 59 11497.000000 5332.000000 6165.000000 7238.000000 3344.000000 3894.000000 2358.000000 1118.000000 1240.000000 1478.000000 721.000000 757.000000 423.000000 149.000000 274.000000
60 - 64 11464.000000 5503.000000 5961.000000 7779.000000 3801.000000 3978.000000 2051.000000 942.000000 1109.000000 1253.000000 643.000000 610.000000 381.000000 117.000000 264.000000
65 - 69 10207.000000 4572.000000 5635.000000 7486.000000 3490.000000 3996.000000 1315.000000 510.000000 805.000000 1118.000000 468.000000 650.000000 288.000000 104.000000 184.000000
70 - 74 7757.000000 3831.000000 3926.000000 5876.000000 2988.000000 2888.000000 938.000000 435.000000 503.000000 733.000000 299.000000 434.000000 210.000000 109.000000 101.000000
75 - 79 4470.000000 2379.000000 2091.000000 3034.000000 1547.000000 1487.000000 798.000000 497.000000 301.000000 489.000000 248.000000 241.000000 149.000000 87.000000 62.000000
80 - 84 1918.000000 1018.000000 900.000000 1127.000000 559.000000 568.000000 440.000000 279.000000 161.000000 288.000000 139.000000 149.000000 63.000000 41.000000 22.000000
85 & Over 876.000000 440.000000 436.000000 477.000000 196.000000 281.000000 194.000000 110.000000 84.000000 170.000000 108.000000 62.000000 35.000000 26.000000 9.000000

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