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D

Resident Unemployed Persons Aged 15 Years and Over by Age Group, Action Taken to Look for Work and Sex (Census of Population 2000)

Description

Census of Population 2000 counts of unemployed Singapore residents aged 15 and over by age group, job-search actions (employment service, advertisements, and other channels), and sex. Labour market historians study job-search behaviour at the turn of the century. Adapted from SingStat TableBuilder CT/8970.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 31/03/2016 Update Frequency: 10 years Survey period: Census of Population 2000 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8970

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 (Employment Service) Total (Employment Service) Males (Employment Service) Females (Advertisements/Wrote In) Total (Advertisements/Wrote In) Males (Advertisements/Wrote In) Females (Asked Friends Or Relatives) Total (Asked Friends Or Relatives) Males (Asked Friends Or Relatives) Females (Others) Total (Others) Males (Others) Females
Total 94006.000000 52319.000000 41687.000000 4417.000000 1885.000000 2533.000000 56105.000000 29467.000000 26638.000000 22970.000000 14930.000000 8040.000000 10513.000000 6037.000000 4476.000000
15 - 19 3506.000000 589.000000 2917.000000 172.000000 34.000000 139.000000 2485.000000 329.000000 2155.000000 639.000000 188.000000 451.000000 211.000000 39.000000 172.000000
20 - 24 10764.000000 4671.000000 6093.000000 870.000000 279.000000 591.000000 7816.000000 3220.000000 4597.000000 1226.000000 802.000000 424.000000 851.000000 370.000000 481.000000
25 - 29 13640.000000 7192.000000 6449.000000 810.000000 344.000000 466.000000 9892.000000 5042.000000 4850.000000 1678.000000 1108.000000 570.000000 1261.000000 698.000000 563.000000
30 - 34 11906.000000 6427.000000 5479.000000 616.000000 257.000000 359.000000 7879.000000 4028.000000 3851.000000 1986.000000 1374.000000 612.000000 1426.000000 768.000000 657.000000
35 - 39 12937.000000 7240.000000 5697.000000 519.000000 160.000000 359.000000 8012.000000 4344.000000 3669.000000 2976.000000 1940.000000 1036.000000 1429.000000 796.000000 633.000000
40 - 44 13997.000000 8227.000000 5770.000000 533.000000 257.000000 276.000000 7521.000000 4398.000000 3124.000000 4131.000000 2544.000000 1587.000000 1812.000000 1028.000000 784.000000
45 - 49 11981.000000 7256.000000 4725.000000 395.000000 230.000000 164.000000 6130.000000 3667.000000 2463.000000 4042.000000 2517.000000 1525.000000 1415.000000 841.000000 574.000000
50 - 54 8951.000000 6071.000000 2881.000000 290.000000 188.000000 102.000000 4128.000000 2742.000000 1386.000000 3365.000000 2325.000000 1040.000000 1168.000000 816.000000 352.000000
55 & Over 6323.000000 4647.000000 1676.000000 213.000000 135.000000 78.000000 2242.000000 1698.000000 543.000000 2927.000000 2132.000000 795.000000 941.000000 682.000000 260.000000

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Employment Service) Total Numeric No
(Employment Service) Males Numeric No
(Employment Service) Females Numeric No
(Advertisements/Wrote In) Total Numeric No
(Advertisements/Wrote In) Males Numeric No
(Advertisements/Wrote In) Females Numeric No
(Asked Friends Or Relatives) Total Numeric No
(Asked Friends Or Relatives) Males Numeric No
(Asked Friends Or Relatives) Females Numeric No
(Others) Total Numeric No
(Others) Males Numeric No
(Others) Females Numeric No