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CSV Singapore Department of Statistics

Employed Residents Aged 15 Years and Over by Usual Hours Worked, Marital Status and Sex (Census of Population 2020)

Description

Census of Population 2020 table on employed Singapore residents aged 15 and over by usual hours worked, marital status, and sex, excluding national servicemen. Labour researchers study work-hour patterns across family statuses. Adapted from SingStat TableBuilder CT/17543.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 18/06/2021 Update Frequency: 10 years Survey period: Census of Population 2020 Footnotes: Note: Data exclude national servicemen. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17543

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Last updated
Rows
10
Columns
16

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (Single) Total (Single) Males (Single) Females (Married) Total (Married) Males (Married) Females (Widowed) Total (Widowed) Males (Widowed) Females (Divorced/Separated) Total (Divorced/Separated) Males (Divorced/Separated) Females
Total 2166462.000000 1136535.000000 1029927.000000 594565.000000 281212.000000 313353.000000 1423609.000000 803969.000000 619640.000000 42235.000000 10491.000000 31745.000000 106052.000000 40863.000000 65189.000000
Below 30 165802.000000 61430.000000 104372.000000 42558.000000 18997.000000 23561.000000 104173.000000 38118.000000 66054.000000 8845.000000 1403.000000 7443.000000 10226.000000 2912.000000 7314.000000
30 - 34 60712.000000 26045.000000 34667.000000 14930.000000 7724.000000 7206.000000 39406.000000 16686.000000 22719.000000 2684.000000 409.000000 2275.000000 3692.000000 1225.000000 2466.000000
35 - 39 124281.000000 61295.000000 62987.000000 31981.000000 14499.000000 17482.000000 82174.000000 43579.000000 38595.000000 3279.000000 749.000000 2530.000000 6848.000000 2468.000000 4380.000000
40 - 44 1075204.000000 534364.000000 540840.000000 313118.000000 138045.000000 175073.000000 696644.000000 375123.000000 321522.000000 16905.000000 4356.000000 12548.000000 48536.000000 16839.000000 31697.000000
45 - 49 341446.000000 190827.000000 150619.000000 94667.000000 48301.000000 46366.000000 224533.000000 134453.000000 90079.000000 5938.000000 1631.000000 4307.000000 16308.000000 6442.000000 9867.000000
50 - 54 178801.000000 108007.000000 70794.000000 46082.000000 23220.000000 22863.000000 123141.000000 80842.000000 42298.000000 1635.000000 550.000000 1084.000000 7943.000000 3394.000000 4549.000000
55 - 59 49246.000000 32271.000000 16976.000000 11858.000000 6374.000000 5484.000000 34244.000000 24405.000000 9839.000000 718.000000 314.000000 404.000000 2427.000000 1178.000000 1249.000000
60 - 64 93136.000000 63135.000000 30002.000000 22365.000000 12889.000000 9476.000000 64991.000000 47068.000000 17924.000000 977.000000 386.000000 591.000000 4803.000000 2792.000000 2011.000000
65 & Over 77833.000000 59162.000000 18671.000000 17006.000000 11164.000000 5842.000000 54303.000000 43694.000000 10609.000000 1254.000000 692.000000 563.000000 5269.000000 3612.000000 1657.000000

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Single) Total Numeric No
(Single) Males Numeric No
(Single) Females Numeric No
(Married) Total Numeric No
(Married) Males Numeric No
(Married) Females Numeric No
(Widowed) Total Numeric No
(Widowed) Males Numeric No
(Widowed) Females Numeric No
(Divorced/Separated) Total Numeric No
(Divorced/Separated) Males Numeric No
(Divorced/Separated) Females Numeric No