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Resident Households by Monthly Household Income from Work, Ethnic Group and Sex of Household Reference Person (Census of Population 2020)

What this data shows

Published by Singapore Department of Statistics. 20 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (16 columns in total). Last updated 2026-09-06.

Description

Census of Population 2020 counts of resident households by monthly household income from work, ethnic group, and sex of the household reference person. Income definitions include Additional MediSave contributions from employers. Demographers and inequality researchers analyse ethnic and gender patterns in household earnings. Adapted from SingStat TableBuilder CT/17508.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/06/2026 Update Frequency: 10 years Survey period: Census of Population 2020 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/17508

Last updated
Rows
20
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 1372559.000000 994133.000000 378427.000000 1062046.000000 761631.000000 300415.000000 151741.000000 111723.000000 40017.000000 121222.000000 93080.000000
No Employed Person 182445.000000 91635.000000 90809.000000 149384.000000 75261.000000 74124.000000 16977.000000 8042.000000 8935.000000 12774.000000 6608.000000
Below 1,000 26987.000000 15336.000000 11651.000000 21223.000000 11969.000000 9254.000000 3692.000000 2288.000000 1404.000000 1715.000000 858.000000
1,000 - 1,999 70518.000000 45310.000000 25208.000000 54453.000000 35445.000000 19008.000000 10275.000000 6627.000000 3648.000000 4865.000000 2829.000000
2,000 - 2,999 69178.000000 46979.000000 22199.000000 50681.000000 34858.000000 15822.000000 11575.000000 7657.000000 3918.000000 5757.000000 3818.000000
3,000 - 3,999 74176.000000 49655.000000 24520.000000 52900.000000 34809.000000 18091.000000 13001.000000 9504.000000 3498.000000 6872.000000 4615.000000
4,000 - 4,999 70563.000000 47452.000000 23112.000000 51307.000000 33984.000000 17324.000000 12016.000000 8849.000000 3167.000000 6076.000000 4009.000000
5,000 - 5,999 73237.000000 52408.000000 20829.000000 53187.000000 37480.000000 15707.000000 11568.000000 8992.000000 2575.000000 6701.000000 4828.000000
6,000 - 6,999 68600.000000 49772.000000 18827.000000 50224.000000 35821.000000 14403.000000 10711.000000 8284.000000 2427.000000 6038.000000 4625.000000
7,000 - 7,999 65964.000000 48373.000000 17591.000000 48287.000000 34745.000000 13542.000000 9682.000000 7473.000000 2209.000000 6486.000000 5116.000000

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