Employed Residents Aged 15 Years and Over by Gross Monthly Income from Work, Ethnic Group and Sex (Census of Population 2020)
Description
Census of Population 2020 counts of employed Singapore residents aged 15 and over by gross monthly income from work, ethnic group, and sex. Income concepts were updated in 2026 to include employers’ Additional MediSave Contributions per the Key Household Income Trends 2025 technical note. Researchers analyse earnings dispersion and ethnic gaps at the decennial census. Adapted from SingStat TableBuilder CT/17553.
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/17553
- 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 | 2208358.000000 | 1178431.000000 | 1029927.000000 | 1682947.000000 | 876157.000000 | 806791.000000 | 266642.000000 | 154040.000000 | 112602.000000 | 189780.000000 | 112083.000000 | 77697.000000 | 68989.000000 | 36152.000000 | 32837.000000 |
| Below 1,000 | 148795.000000 | 84009.000000 | 64786.000000 | 110372.000000 | 61365.000000 | 49007.000000 | 24144.000000 | 14725.000000 | 9419.000000 | 10346.000000 | 5811.000000 | 4535.000000 | 3933.000000 | 2108.000000 | 1825.000000 |
| 1,000 - 1,999 | 288543.000000 | 145529.000000 | 143014.000000 | 218919.000000 | 111455.000000 | 107464.000000 | 41719.000000 | 22765.000000 | 18954.000000 | 21390.000000 | 9614.000000 | 11776.000000 | 6514.000000 | 1696.000000 | 4819.000000 |
| 2,000 - 2,999 | 261636.000000 | 135923.000000 | 125712.000000 | 181321.000000 | 93743.000000 | 87578.000000 | 50344.000000 | 28420.000000 | 21925.000000 | 22307.000000 | 11288.000000 | 11019.000000 | 7663.000000 | 2473.000000 | 5190.000000 |
| 3,000 - 3,999 | 265051.000000 | 132860.000000 | 132191.000000 | 185644.000000 | 90690.000000 | 94954.000000 | 47376.000000 | 26759.000000 | 20617.000000 | 24627.000000 | 12802.000000 | 11824.000000 | 7404.000000 | 2608.000000 | 4795.000000 |
| 4,000 - 4,999 | 221760.000000 | 110571.000000 | 111189.000000 | 163966.000000 | 77923.000000 | 86043.000000 | 33636.000000 | 19865.000000 | 13772.000000 | 18647.000000 | 10419.000000 | 8228.000000 | 5510.000000 | 2364.000000 | 3147.000000 |
| 5,000 - 5,999 | 190908.000000 | 98556.000000 | 92352.000000 | 146171.000000 | 72354.000000 | 73817.000000 | 22757.000000 | 13727.000000 | 9030.000000 | 16430.000000 | 9545.000000 | 6885.000000 | 5550.000000 | 2929.000000 | 2621.000000 |
| 6,000 - 6,999 | 141309.000000 | 73177.000000 | 68132.000000 | 111820.000000 | 55407.000000 | 56413.000000 | 13658.000000 | 8254.000000 | 5404.000000 | 11309.000000 | 6894.000000 | 4415.000000 | 4521.000000 | 2621.000000 | 1900.000000 |
| 7,000 - 7,999 | 114963.000000 | 61010.000000 | 53953.000000 | 91749.000000 | 46911.000000 | 44838.000000 | 9542.000000 | 5960.000000 | 3582.000000 | 9788.000000 | 5921.000000 | 3868.000000 | 3883.000000 | 2218.000000 | 1665.000000 |
| 8,000 - 8,999 | 98574.000000 | 54257.000000 | 44316.000000 | 80411.000000 | 42838.000000 | 37572.000000 | 6824.000000 | 4156.000000 | 2669.000000 | 8066.000000 | 5240.000000 | 2826.000000 | 3273.000000 | 2023.000000 | 1249.000000 |
| 9,000 - 9,999 | 78490.000000 | 42659.000000 | 35831.000000 | 64525.000000 | 34004.000000 | 30521.000000 | 4759.000000 | 2719.000000 | 2040.000000 | 6689.000000 | 4414.000000 | 2275.000000 | 2517.000000 | 1523.000000 | 995.000000 |
| 10,000 - 10,999 | 69545.000000 | 39042.000000 | 30504.000000 | 57239.000000 | 31269.000000 | 25970.000000 | 3353.000000 | 1858.000000 | 1495.000000 | 6593.000000 | 4390.000000 | 2202.000000 | 2361.000000 | 1525.000000 | 836.000000 |
| 11,000 - 11,999 | 53728.000000 | 30133.000000 | 23595.000000 | 44819.000000 | 24418.000000 | 20401.000000 | 2487.000000 | 1239.000000 | 1248.000000 | 4797.000000 | 3402.000000 | 1395.000000 | 1626.000000 | 1074.000000 | 552.000000 |
| 12,000 - 14,999 | 101895.000000 | 57676.000000 | 44219.000000 | 86017.000000 | 47423.000000 | 38593.000000 | 3823.000000 | 2121.000000 | 1701.000000 | 8837.000000 | 6034.000000 | 2802.000000 | 3219.000000 | 2097.000000 | 1122.000000 |
| 15,000 & Over | 173162.000000 | 113029.000000 | 60133.000000 | 139974.000000 | 86356.000000 | 53618.000000 | 2219.000000 | 1472.000000 | 747.000000 | 19955.000000 | 16308.000000 | 3646.000000 | 11015.000000 | 8893.000000 | 2121.000000 |
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 |