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D

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

What this data shows

Published by Singapore Department of Statistics. 14 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (16 columns in total). Last updated 2026-09-21.

Description

Census of Population 2000 counts of resident working persons aged 15 and over by monthly income from work, ethnic group (Chinese, Malays, Indians and Others), and sex. The Singapore Department of Statistics CSV supports analysis of income distribution and ethnic and gender earnings differences at the 2000 census benchmark, with income figures now including employers' Additional MediSave Contributions. Adapted from SingStat TableBuilder CT/8952.

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/8952

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 (Chinese) Total (Chinese) Males (Chinese) Females (Malays) Total (Malays) Males (Malays) Females (Indians) Total (Indians) Males
Total 1482579.000000 889482.000000 593097.000000 1189238.000000 698907.000000 490330.000000 169964.000000 110746.000000 59219.000000 105845.000000 69247.000000
Below 500 50037.000000 39074.000000 10962.000000 39594.000000 30265.000000 9329.000000 6652.000000 5634.000000 1018.000000 3421.000000 2869.000000
500 - 999 99398.000000 47338.000000 52060.000000 78705.000000 37512.000000 41193.000000 13061.000000 6089.000000 6972.000000 7018.000000 3622.000000
1,000 - 1,499 196190.000000 100629.000000 95561.000000 147747.000000 75166.000000 72582.000000 31452.000000 17337.000000 14115.000000 15084.000000 7437.000000
1,500 - 1,999 206070.000000 114911.000000 91159.000000 154069.000000 84402.000000 69667.000000 34333.000000 21035.000000 13298.000000 15966.000000 8698.000000
2,000 - 2,999 341592.000000 197616.000000 143976.000000 265997.000000 147892.000000 118105.000000 48551.000000 33094.000000 15456.000000 24060.000000 15103.000000
3,000 - 3,999 225933.000000 141623.000000 84310.000000 186951.000000 112880.000000 74071.000000 21352.000000 16242.000000 5110.000000 15236.000000 11134.000000
4,000 - 4,999 117088.000000 74949.000000 42139.000000 100182.000000 61876.000000 38306.000000 7652.000000 6106.000000 1547.000000 7801.000000 6072.000000
5,000 - 5,999 72640.000000 48577.000000 24062.000000 63371.000000 41387.000000 21985.000000 3097.000000 2324.000000 773.000000 5001.000000 4048.000000
6,000 - 6,999 48440.000000 32074.000000 16366.000000 42537.000000 27681.000000 14856.000000 1619.000000 1239.000000 379.000000 3411.000000 2609.000000

Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Chinese) Total Numeric No
(Chinese) Males Numeric No
(Chinese) Females Numeric No
(Malays) Total Numeric No
(Malays) Males Numeric No
(Malays) Females Numeric No
(Indians) Total Numeric No
(Indians) Males Numeric No
(Indians) Females Numeric No
(Others) Total Numeric No
(Others) Males Numeric No
(Others) Females Numeric No