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D

Resident Employees Aged 15 Years and Over by Age Group, Nature of Employment and Sex (General Household Survey 2005)

Description

Singapore Department of Statistics CSV from the General Household Survey 2005 on resident employees aged 15 and over by age group, nature of employment and sex. Counts distinguish permanent, contract and other employment for males and females; national servicemen are excluded. Labour historians and demographers use the snapshot of mid-2000s employment contracts. Adapted from SingStat TableBuilder CT/8803.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 29/03/2016 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/8803

Last updated
Rows
12
Columns
13

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (Permanent) Total (Permanent) Males (Permanent) Females (Contract) Total (Contract) Males (Contract) Females (Others) Total (Others) Males (Others) Females
Total 1380460.000000 750565.000000 629895.000000 1206914.000000 659574.000000 547340.000000 61930.000000 34899.000000 27031.000000 111617.000000 56092.000000 55524.000000
15 - 19 10280.000000 2591.000000 7689.000000 4806.000000 1002.000000 3804.000000 880.000000 219.000000 661.000000 4594.000000 1370.000000 3224.000000
20 - 24 91173.000000 35478.000000 55695.000000 71956.000000 26012.000000 45944.000000 9761.000000 4588.000000 5173.000000 9455.000000 4878.000000 4577.000000
25 - 29 192002.000000 94535.000000 97467.000000 172336.000000 83786.000000 88550.000000 12523.000000 6868.000000 5655.000000 7143.000000 3881.000000 3262.000000
30 - 34 221025.000000 115840.000000 105185.000000 203541.000000 107083.000000 96458.000000 9898.000000 5309.000000 4589.000000 7586.000000 3447.000000 4138.000000
35 - 39 211814.000000 118193.000000 93621.000000 193385.000000 108812.000000 84573.000000 7119.000000 4021.000000 3099.000000 11310.000000 5361.000000 5949.000000
40 - 44 206852.000000 119623.000000 87229.000000 183222.000000 107440.000000 75782.000000 6701.000000 4091.000000 2611.000000 16929.000000 8092.000000 8837.000000
45 - 49 180447.000000 102790.000000 77658.000000 156661.000000 90177.000000 66484.000000 5303.000000 3395.000000 1908.000000 18484.000000 9219.000000 9265.000000
50 - 54 136128.000000 79162.000000 56966.000000 116307.000000 68608.000000 47698.000000 4306.000000 2724.000000 1582.000000 15515.000000 7830.000000 7685.000000
55 - 59 81811.000000 49315.000000 32497.000000 69162.000000 41786.000000 27376.000000 2568.000000 1732.000000 835.000000 10082.000000 5797.000000 4285.000000
60 - 64 28959.000000 19072.000000 9887.000000 22130.000000 15125.000000 7005.000000 1638.000000 1071.000000 567.000000 5191.000000 2876.000000 2315.000000
65 & Over 19968.000000 13966.000000 6002.000000 13408.000000 9742.000000 3665.000000 1232.000000 882.000000 350.000000 5328.000000 3341.000000 1987.000000

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Permanent) Total Numeric No
(Permanent) Males Numeric No
(Permanent) Females Numeric No
(Contract) Total Numeric No
(Contract) Males Numeric No
(Contract) Females Numeric No
(Others) Total Numeric No
(Others) Males Numeric No
(Others) Females Numeric No