Skip to content
D

Resident Working Persons Aged 15 Years and Over by Gross Monthly Income from Work, Ethnic Group and Sex (Census of Population 2010)

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 2026-09-18.

Description

Census of Population 2010 employed residents aged 15 and over by gross monthly income from work, ethnic group, and sex in CSV from the Singapore Department of Statistics. Income includes employers’ Additional MediSave Contributions per updated footnotes. Supports earnings inequality and ethnic labour-market comparisons.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/06/2026 Update Frequency: 10 years Survey period: Census of Population 2010 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/8660

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 1898042.000000 1079563.000000 818480.000000 1443835.000000 799997.000000 643838.000000 219329.000000 131215.000000 88114.000000 162902.000000 106834.000000
Below 500 61595.000000 39921.000000 21675.000000 45787.000000 28853.000000 16934.000000 9864.000000 6978.000000 2886.000000 4412.000000 3139.000000
500 - 999 152390.000000 75381.000000 77008.000000 116291.000000 58748.000000 57543.000000 23508.000000 11459.000000 12049.000000 10438.000000 4566.000000
1,000 - 1,499 167828.000000 87066.000000 80762.000000 123620.000000 64742.000000 58878.000000 27860.000000 15047.000000 12813.000000 12852.000000 6397.000000
1,500 - 1,999 165617.000000 88880.000000 76738.000000 116148.000000 62473.000000 53675.000000 30664.000000 17672.000000 12992.000000 14555.000000 7411.000000
2,000 - 2,999 329222.000000 179184.000000 150038.000000 239027.000000 128224.000000 110803.000000 51780.000000 30818.000000 20962.000000 27720.000000 15893.000000
3,000 - 3,999 264851.000000 144768.000000 120083.000000 199512.000000 104675.000000 94837.000000 32375.000000 20083.000000 12292.000000 22331.000000 14517.000000
4,000 - 4,999 188535.000000 106461.000000 82073.000000 146946.000000 78830.000000 68116.000000 18082.000000 12062.000000 6021.000000 15257.000000 10593.000000
5,000 - 5,999 139683.000000 82390.000000 57293.000000 111518.000000 62400.000000 49118.000000 9859.000000 6759.000000 3100.000000 11802.000000 8872.000000
6,000 - 6,999 98274.000000 58504.000000 39770.000000 79418.000000 44940.000000 34478.000000 5775.000000 3902.000000 1873.000000 8867.000000 6902.000000

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