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CSV Singapore Department of Statistics

Resident Working Persons Aged 15 Years and Over by Age Group, Marital Status and Sex (General Household Survey 2005)

Description

General Household Survey 2005 tabulation from the Singapore Department of Statistics cross-classifying resident working persons aged 15 years and over by age group, marital status and sex. Marital categories cover single, married, widowed and divorced or separated, each reported as totals, males and females. Labour economists and demographers can use the CSV to examine how employment participation varied with age and family formation among Singapore residents in the mid-2000s.

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/8761

Download CSV View on data.gov.sg
Last updated
Rows
12
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 1647294.000000 959689.000000 687605.000000 467084.000000 253263.000000 213821.000000 1105766.000000 679601.000000 426166.000000 21549 5539 16010 52894.000000 21286 31608.000000
15 - 19 20326.000000 12491.000000 7834.000000 19916.000000 12401.000000 7515.000000 384.000000 90.000000 294.000000 na na na 26.000000 na 26.000000
20 - 24 118196.000000 61234.000000 56962.000000 106457.000000 57587.000000 48870.000000 11175.000000 3453.000000 7722.000000 13 na 13 551.000000 193 358.000000
25 - 29 202349.000000 101200.000000 101149.000000 120429.000000 68334.000000 52095.000000 79455.000000 32164.000000 47290.000000 90 na 90 2375.000000 702 1673.000000
30 - 34 239523.000000 128384.000000 111140.000000 70811.000000 40747.000000 30064.000000 162970.000000 85481.000000 77489.000000 429 142 287 5313.000000 2013 3300.000000
35 - 39 239428.000000 137060.000000 102368.000000 44392.000000 24095.000000 20297.000000 186346.000000 109584.000000 76762.000000 701 116 585 7989.000000 3266 4723.000000
40 - 44 247261.000000 150065.000000 97196.000000 38477.000000 19582.000000 18895.000000 197124.000000 126077.000000 71047.000000 1804 520 1284 9857.000000 3887 5970.000000
45 - 49 224080.000000 136293.000000 87787.000000 30278.000000 14539.000000 15739.000000 180081.000000 116894.000000 63187.000000 2918 713 2205 10802.000000 4147 6656.000000
50 - 54 175145.000000 110019.000000 65126.000000 20336.000000 8887.000000 11449.000000 142471.000000 96858.000000 45613.000000 3955 779 3176 8383.000000 3496 4887.000000
55 - 59 109092.000000 71317.000000 37775.000000 10932.000000 4401.000000 6531.000000 88583.000000 63559.000000 25024.000000 4728 1168 3560 4849.000000 2189 2660.000000
60 - 64 41195.000000 28974.000000 12221.000000 2942.000000 1377.000000 1565.000000 33883.000000 26225.000000 7658.000000 2689 660 2030 1681.000000 713 968.000000
65 & Over 30700.000000 22652.000000 8048.000000 2114.000000 1312.000000 802.000000 23295.000000 19216.000000 4079.000000 4221 1442 2779 1070.000000 681 388.000000

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 Text No
(Widowed) Males Text No
(Widowed) Females Text No
(Divorced/Separated) Total Numeric No
(Divorced/Separated) Males Text No
(Divorced/Separated) Females Numeric No