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CSV Singapore Department of Statistics

Resident Working Persons Aged 15 Years and Over by Number of Hours Worked, Marital Status and Sex (General Household Survey 2005)

Description

General Household Survey 2005 table on resident working persons aged 15 and over, cross-tabulating usual hours worked with marital status and sex. The Singapore Department of Statistics CSV excludes national servicemen and supports labour-force and work–life balance research.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/03/2016 Update Frequency: 10 years Survey period: General Household Survey 2005 Footnotes: Note: Data exclude national servicemen. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8780

Download CSV View on data.gov.sg
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 1612647.000000 925042.000000 687605.000000 432708.000000 218887.000000 213821.000000 1105508.000000 679343.000000 426166.000000 21549.000000 5539.000000 16010.000000 52881.000000 21273.000000 31608.000000
Below 30 75176.000000 30099.000000 45077.000000 16241.000000 7740.000000 8501.000000 52481.000000 20550.000000 31931.000000 2559.000000 474.000000 2085.000000 3896.000000 1336.000000 2560.000000
30 - 34 35383.000000 15419.000000 19964.000000 8852.000000 4560.000000 4292.000000 23724.000000 9907.000000 13817.000000 1149.000000 322.000000 827.000000 1658.000000 630.000000 1028.000000
35 - 39 34179.000000 15268.000000 18911.000000 8608.000000 3775.000000 4833.000000 23224.000000 10881.000000 12343.000000 743.000000 155.000000 588.000000 1604.000000 457.000000 1147.000000
40 - 44 564772.000000 287553.000000 277219.000000 165662.000000 74153.000000 91509.000000 376554.000000 206248.000000 170307.000000 6662.000000 1767.000000 4895.000000 15894.000000 5386.000000 10508.000000
45 - 49 324455.000000 181615.000000 142840.000000 91464.000000 46582.000000 44882.000000 218191.000000 130448.000000 87743.000000 4257.000000 888.000000 3370.000000 10542.000000 3697.000000 6845.000000
50 - 54 198294.000000 122103.000000 76190.000000 55326.000000 29045.000000 26281.000000 135517.000000 90002.000000 45515.000000 1747.000000 438.000000 1309.000000 5703.000000 2619.000000 3085.000000
55 - 59 75898.000000 49326.000000 26572.000000 18854.000000 10203.000000 8651.000000 53463.000000 37794.000000 15669.000000 1069.000000 301.000000 768.000000 2512.000000 1028.000000 1484.000000
60 - 64 138066.000000 94430.000000 43637.000000 34512.000000 20184.000000 14328.000000 97465.000000 71385.000000 26080.000000 1334.000000 379.000000 955.000000 4755.000000 2481.000000 2274.000000
65 & Over 166424.000000 129229.000000 37194.000000 33189.000000 22644.000000 10545.000000 124889.000000 102128.000000 22761.000000 2027.000000 816.000000 1211.000000 6318.000000 3641.000000 2677.000000

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