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CSV Singapore Department of Statistics

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

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

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Rows
20
Columns
16

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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 1372559.000000 994133.000000 378427.000000 1062046.000000 761631.000000 300415.000000 151741.000000 111723.000000 40017.000000 121222.000000 93080.000000 28142.000000 37551.000000 27698.000000 9853.000000
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 6167.000000 3309.000000 1725.000000 1584.000000
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 857.000000 357.000000 221.000000 136.000000
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 2036.000000 924.000000 408.000000 516.000000
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 1939.000000 1165.000000 645.000000 520.000000
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 2257.000000 1402.000000 728.000000 675.000000
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 2067.000000 1164.000000 610.000000 554.000000
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 1872.000000 1781.000000 1107.000000 674.000000
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 1414.000000 1627.000000 1043.000000 584.000000
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 1370.000000 1508.000000 1039.000000 469.000000
8,000 - 8,999 62602.000000 47455.000000 15147.000000 46710.000000 34373.000000 12337.000000 8314.000000 6844.000000 1470.000000 6224.000000 5142.000000 1082.000000 1354.000000 1097.000000 257.000000
9,000 - 9,999 59540.000000 45724.000000 13816.000000 44417.000000 33550.000000 10867.000000 7913.000000 6433.000000 1480.000000 5665.000000 4632.000000 1033.000000 1545.000000 1109.000000 436.000000
10,000 - 10,999 55098.000000 42615.000000 12483.000000 41143.000000 30983.000000 10161.000000 6511.000000 5584.000000 927.000000 5687.000000 4785.000000 903.000000 1757.000000 1264.000000 493.000000
11,000 - 11,999 49147.000000 38269.000000 10878.000000 37726.000000 28820.000000 8906.000000 5219.000000 4370.000000 849.000000 4681.000000 3935.000000 747.000000 1521.000000 1144.000000 376.000000
12,000 - 12,999 44133.000000 35325.000000 8807.000000 34252.000000 27021.000000 7231.000000 4454.000000 3750.000000 704.000000 3941.000000 3368.000000 573.000000 1485.000000 1186.000000 299.000000
13,000 - 13,999 40473.000000 32265.000000 8208.000000 31468.000000 24528.000000 6940.000000 4084.000000 3477.000000 607.000000 3749.000000 3279.000000 470.000000 1173.000000 981.000000 192.000000
14,000 - 14,999 36066.000000 29291.000000 6776.000000 29260.000000 23442.000000 5818.000000 2744.000000 2366.000000 379.000000 2988.000000 2603.000000 385.000000 1073.000000 879.000000 194.000000
15,000 - 17,499 77041.000000 64079.000000 12961.000000 61334.000000 50374.000000 10960.000000 5581.000000 4892.000000 689.000000 7316.000000 6582.000000 734.000000 2810.000000 2231.000000 579.000000
17,500 - 19,999 55319.000000 46740.000000 8579.000000 45423.000000 38192.000000 7230.000000 3128.000000 2681.000000 447.000000 4857.000000 4249.000000 608.000000 1912.000000 1618.000000 294.000000
20,000 & Over 191473.000000 165448.000000 26025.000000 158666.000000 135976.000000 22690.000000 4296.000000 3611.000000 685.000000 18828.000000 17199.000000 1630.000000 9683.000000 8663.000000 1021.000000

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