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D

Resident Working Persons Aged 15 Years and Over by Monthly Income from Work, Occupational Status and Sex (Census of Population 2000)

Description

Census of Population 2000 counts of resident working persons aged 15 and over by monthly income from work, occupational status, and sex, separating employers, own account workers, employees, and unpaid family workers. Labour economists compare earnings distributions across employment types in Singapore at the 2000 benchmark; income figures include employers' Additional MediSave Contributions. Adapted from SingStat TableBuilder CT/8945.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 09/07/2026 Update Frequency: 10 years Survey period: Census of Population 2000 Footnotes: Note: Data on income from work have been updated to include Additional MediSave Contributions from employers with the release of the Key Household Income Trends 2025 report in February 2026. For more information, you may refer to the Technical Note on Household Income (https://go.gov.sg/khit2025-tech-note) which explains the concepts and components of our household income coverage. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8945

Last updated
Rows
14
Columns
16

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (Employers) Total (Employers) Males (Employers) Females (Own Account Workers) Total (Own Account Workers) Males (Own Account Workers) Females (Employees) Total (Employees) Males (Employees) Females (Unpaid Family Workers) Total (Unpaid Family Workers) Males (Unpaid Family Workers) Females
Total 1482579.000000 889482.000000 593097.000000 85785.000000 68043.000000 17742.000000 121249.000000 97626.000000 23622.000000 1267965.000000 721531.000000 546434.000000 7580 2282 5298
Below 500 50037.000000 39074.000000 10962.000000 682.000000 329.000000 352.000000 3656.000000 1808.000000 1848.000000 43045.000000 36397.000000 6647.000000 2654 540 2114
500 - 999 99475.000000 47357.000000 52118.000000 3516.000000 2055.000000 1461.000000 17822.000000 12697.000000 5125.000000 73874.000000 31073.000000 42801.000000 4263 1533 2730
1,000 - 1,499 196214.000000 100658.000000 95556.000000 8117.000000 5690.000000 2427.000000 28707.000000 23472.000000 5235.000000 158982.000000 71376.000000 87606.000000 408 120 289
1,500 - 1,999 206348.000000 115038.000000 91310.000000 8586.000000 6444.000000 2142.000000 23528.000000 20529.000000 2999.000000 174076.000000 88020.000000 86056.000000 159 45 113
2,000 - 2,999 341747.000000 197787.000000 143960.000000 19682.000000 15866.000000 3815.000000 25968.000000 21642.000000 4325.000000 296036.000000 160250.000000 135786.000000 62 29 33
3,000 - 3,999 225880.000000 141549.000000 84331.000000 14717.000000 12238.000000 2479.000000 11081.000000 9090.000000 1990.000000 200058.000000 120206.000000 79852.000000 24 14 10
4,000 - 4,999 116793.000000 74808.000000 41984.000000 7212.000000 6001.000000 1211.000000 4012.000000 3241.000000 771.000000 105563.000000 65566.000000 39997.000000 5 na 5
5,000 - 5,999 72602.000000 48562.000000 24040.000000 6825.000000 5648.000000 1176.000000 2819.000000 2226.000000 593.000000 62958.000000 40687.000000 22271.000000 na na na
6,000 - 6,999 48406.000000 32032.000000 16374.000000 3742.000000 3117.000000 625.000000 1197.000000 967.000000 230.000000 43463.000000 27948.000000 15515.000000 5 na 5
7,000 - 7,999 30880.000000 21036.000000 9843.000000 1944.000000 1630.000000 314.000000 522.000000 415.000000 107.000000 28414.000000 18991.000000 9423.000000 na na na
8,000 - 8,999 22098.000000 15656.000000 6442.000000 2079.000000 1760.000000 319.000000 514.000000 401.000000 113.000000 19504.000000 13494.000000 6010.000000 na na na
9,000 - 9,999 15041.000000 10863.000000 4178.000000 807.000000 671.000000 136.000000 181.000000 132.000000 49.000000 14053.000000 10060.000000 3993.000000 na na na
10,000 & Over 57058.000000 45061.000000 11997.000000 7878.000000 6592.000000 1286.000000 1242.000000 1006.000000 236.000000 47938.000000 37463.000000 10475.000000 na na na

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Employers) Total Numeric No
(Employers) Males Numeric No
(Employers) Females Numeric No
(Own Account Workers) Total Numeric No
(Own Account Workers) Males Numeric No
(Own Account Workers) Females Numeric No
(Employees) Total Numeric No
(Employees) Males Numeric No
(Employees) Females Numeric No
(Unpaid Family Workers) Total Text No
(Unpaid Family Workers) Males Text No
(Unpaid Family Workers) Females Text No