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D

Employed Residents Aged 15 Years and Over by Gross Monthly Income from Work, Marital Status and Sex (Census of Population 2020)

What this data shows

Published by Singapore Department of Statistics. 15 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 employed Singapore residents aged 15 and over by gross monthly income from work, marital status, and sex in SingStat CSV. Income concepts updated to include Additional MediSave Contributions per the Key Household Income Trends 2025 technical note. Labour and inequality researchers study earnings by family status.

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/17545

Last updated
Rows
15
Columns
16

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (Single) Total (Single) Males (Single) Females (Married) Total (Married) Males (Married) Females (Widowed) Total (Widowed) Males
Total 2208358.000000 1178431.000000 1029927.000000 636167.000000 322814.000000 313353.000000 1423888.000000 804248.000000 619640.000000 42235.000000 10491.000000
Below 1,000 148795.000000 84009.000000 64786.000000 72273.000000 53246.000000 19027.000000 63262.000000 27236.000000 36026.000000 6223.000000 938.000000
1,000 - 1,999 288543.000000 145529.000000 143014.000000 70931.000000 41778.000000 29153.000000 180980.000000 91880.000000 89100.000000 15617.000000 3346.000000
2,000 - 2,999 261636.000000 135923.000000 125712.000000 79225.000000 41733.000000 37492.000000 158059.000000 85070.000000 72989.000000 6922.000000 1974.000000
3,000 - 3,999 265051.000000 132860.000000 132191.000000 89749.000000 41791.000000 47958.000000 157277.000000 84725.000000 72552.000000 4148.000000 1226.000000
4,000 - 4,999 221760.000000 110571.000000 111189.000000 79652.000000 36419.000000 43233.000000 130538.000000 70182.000000 60356.000000 2508.000000 656.000000
5,000 - 5,999 190908.000000 98556.000000 92352.000000 61829.000000 27812.000000 34016.000000 119650.000000 67214.000000 52435.000000 1554.000000 481.000000
6,000 - 6,999 141309.000000 73177.000000 68132.000000 42505.000000 19185.000000 23320.000000 92525.000000 51870.000000 40655.000000 1141.000000 340.000000
7,000 - 7,999 114963.000000 61010.000000 53953.000000 32458.000000 14721.000000 17737.000000 77822.000000 44733.000000 33089.000000 577.000000 146.000000
8,000 - 8,999 98574.000000 54257.000000 44316.000000 25120.000000 11573.000000 13546.000000 69088.000000 41044.000000 28044.000000 650.000000 242.000000

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
(Single) Total Numeric No
(Single) Males Numeric No
(Single) Females Numeric No
(Married) Total Numeric No
(Married) Males Numeric No
(Married) Females Numeric No
(Widowed) Total Numeric No
(Widowed) Males Numeric No
(Widowed) Females Numeric No
(Divorced/Separated) Total Numeric No
(Divorced/Separated) Males Numeric No
(Divorced/Separated) Females Numeric No