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D

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

Description

This 2010 Census dataset counts Singapore resident households by monthly household income from work per household member. Results are cross-tabulated by the ethnic group and sex of the household head, with totals for Chinese, Malay, Indian, and other households. It is useful for examining household income distribution and demographic differences in Singapore at the census benchmark, noting that income coverage was subsequently updated to include employers’ Additional MediSave Contributions.

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/8579

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 (Chinese) Total (Chinese) Males (Chinese) Females (Malays) Total (Malays) Males (Malays) Females (Indians) Total (Indians) Males (Indians) Females (Others) Total (Others) Males (Others) Females
Total 1145920.000000 898196.000000 247724.000000 876529.000000 676881.000000 199648.000000 121378.000000 98218.000000 23160.000000 107508.000000 90892.000000 16615.000000 40506.000000 32205.000000 8301.000000
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 3342.000000 2749.000000 1612.000000 1137.000000
Below 250 17882.000000 12301.000000 5581.000000 12509.000000 8666.000000 3843.000000 3582.000000 2473.000000 1110.000000 1392.000000 921.000000 471.000000 399.000000 241.000000 158.000000
250 - 499 58379.000000 45135.000000 13244.000000 40267.000000 30937.000000 9330.000000 12490.000000 9989.000000 2501.000000 5017.000000 3822.000000 1194.000000 606.000000 387.000000 218.000000
500 - 749 80042.000000 63300.000000 16742.000000 55588.000000 43633.000000 11955.000000 16145.000000 13194.000000 2950.000000 7226.000000 5677.000000 1549.000000 1083.000000 796.000000 287.000000
750 - 999 85113.000000 68335.000000 16779.000000 59203.000000 46960.000000 12244.000000 16153.000000 13548.000000 2606.000000 8182.000000 6713.000000 1468.000000 1575.000000 1114.000000 461.000000
1,000 - 1,499 167637.000000 136952.000000 30686.000000 120880.000000 97301.000000 23579.000000 26385.000000 22495.000000 3890.000000 16422.000000 13819.000000 2603.000000 3951.000000 3338.000000 613.000000
1,500 - 1,999 141963.000000 116928.000000 25035.000000 106985.000000 86566.000000 20418.000000 15862.000000 13597.000000 2265.000000 14273.000000 12652.000000 1621.000000 4843.000000 4113.000000 731.000000
2,000 - 2,499 109469.000000 89971.000000 19498.000000 85261.000000 69097.000000 16165.000000 8738.000000 7466.000000 1271.000000 11124.000000 9956.000000 1168.000000 4346.000000 3452.000000 893.000000
2,500 - 2,999 80014.000000 65315.000000 14699.000000 64067.000000 51486.000000 12581.000000 4631.000000 3907.000000 725.000000 7727.000000 7112.000000 615.000000 3588.000000 2810.000000 778.000000
3,000 - 3,499 61160.000000 49793.000000 11367.000000 49314.000000 39638.000000 9676.000000 2686.000000 2158.000000 527.000000 6278.000000 5696.000000 582.000000 2882.000000 2301.000000 581.000000
3,500 - 3,999 43753.000000 35571.000000 8182.000000 35923.000000 28854.000000 7069.000000 1530.000000 1275.000000 255.000000 4474.000000 4004.000000 471.000000 1825.000000 1437.000000 388.000000
4,000 - 4,499 35055.000000 28444.000000 6611.000000 29504.000000 23735.000000 5769.000000 945.000000 732.000000 213.000000 2914.000000 2662.000000 253.000000 1692.000000 1315.000000 377.000000
4,500 - 4,999 24929.000000 20258.000000 4670.000000 20853.000000 16755.000000 4098.000000 588.000000 479.000000 108.000000 2263.000000 2059.000000 203.000000 1226.000000 965.000000 261.000000
5,000 & Over 120514.000000 96663.000000 23851.000000 96908.000000 76039.000000 20869.000000 2028.000000 1537.000000 491.000000 11837.000000 10762.000000 1075.000000 9742.000000 8325.000000 1416.000000

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