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Resident Households by Monthly Household Income from Work, Ethnic Group and Sex of Head of Household (Census of Population 2010)

What this data shows

Published by Singapore Department of Statistics. 22 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (16 columns in total). Last updated 2026-09-18.

Description

Census of Population 2010 table on resident households by monthly household income from work, ethnic group, and sex of household head. Supports income inequality and ethnic household structure research in Singapore.

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/8574

Last updated
Rows
22
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 1145920.000000 898196.000000 247724.000000 876529.000000 676881.000000 199648.000000 121378.000000 98218.000000 23160.000000 107508.000000 90892.000000
No Working Person 120010.000000 69231.000000 50780.000000 99267.000000 57214.000000 42053.000000 9615.000000 5367.000000 4248.000000 8380.000000 5038.000000
Below 1,000 40560.000000 25026.000000 15534.000000 31807.000000 19809.000000 11999.000000 5448.000000 3278.000000 2170.000000 2664.000000 1590.000000
1,000 - 1,499 38057.000000 26451.000000 11605.000000 29036.000000 20243.000000 8792.000000 5424.000000 3840.000000 1584.000000 3153.000000 2083.000000
1,500 - 1,999 42207.000000 30502.000000 11704.000000 31050.000000 22382.000000 8668.000000 6977.000000 5244.000000 1734.000000 3628.000000 2568.000000
2,000 - 2,499 47682.000000 34014.000000 13668.000000 35323.000000 24970.000000 10352.000000 7370.000000 5629.000000 1741.000000 4070.000000 2978.000000
2,500 - 2,999 45605.000000 33166.000000 12440.000000 33054.000000 23533.000000 9521.000000 7218.000000 5669.000000 1550.000000 4294.000000 3388.000000
3,000 - 3,499 50414.000000 37681.000000 12734.000000 36571.000000 26750.000000 9821.000000 7465.000000 6055.000000 1410.000000 5076.000000 4054.000000
3,500 - 3,999 44665.000000 34248.000000 10417.000000 32204.000000 24189.000000 8014.000000 6651.000000 5511.000000 1140.000000 4638.000000 3773.000000
4,000 - 4,499 46477.000000 35866.000000 10611.000000 33932.000000 25587.000000 8345.000000 6726.000000 5701.000000 1025.000000 4429.000000 3612.000000

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