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Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 30/06/2026
Update Frequency: 10 years
Survey period: General Household Survey 2015
Footnotes: Notes:Data exclude working persons who were full-time students or overseas for more than 6 months. Full-time students are covered in the tables on usual transport to school.Income from work includes employer CPF contributions.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/8343
Last updated 5 days ago (4 Sep 2026)
Thousands Text | (Total) Total Numeric | (Total) Males Numeric | (Total) Females Numeric | (Below $1,000) Total Numeric | (Below $1,000) Males Numeric | (Below $1,000) Females Text | ($1,000 - $1,999) Total Numeric | ($1,000 - $1,999) Males Numeric | ($1,000 - $1,999) Females Numeric | ($2,000 - $2,999) Total Numeric | ($2,000 - $2,999) Males Numeric | ($2,000 - $2,999) Females Numeric | ($3,000 - $3,999) Total Numeric | ($3,000 - $3,999) Males Numeric | ($3,000 - $3,999) Females Numeric | ($4,000 - $4,999) Total Numeric | ($4,000 - $4,999) Males Numeric | ($4,000 - $4,999) Females Numeric | ($5,000 - $5,999) Total Numeric | ($5,000 - $5,999) Males Numeric | ($5,000 - $5,999) Females Numeric | ($6,000 - $6,999) Total Numeric | ($6,000 - $6,999) Males Numeric | ($6,000 - $6,999) Females Numeric | ($7,000 - $7,999) Total Numeric | ($7,000 - $7,999) Males Numeric | ($7,000 - $7,999) Females Numeric | ($8,000 - $8,999) Total Numeric | ($8,000 - $8,999) Males Numeric | ($8,000 - $8,999) Females Numeric | ($9,000 - $9,999) Total Numeric | ($9,000 - $9,999) Males Numeric | ($9,000 - $9,999) Females Numeric | ($10,000 - $10,999) Total Numeric | ($10,000 - $10,999) Males Numeric | ($10,000 - $10,999) Females Numeric | ($11,000 - $11,999) Total Numeric | ($11,000 - $11,999) Males Numeric | ($11,000 - $11,999) Females Numeric | ($12,000 - $12,999) Total Numeric | ($12,000 - $12,999) Males Numeric | ($12,000 - $12,999) Females Numeric | ($13,000 - $13,999) Total Numeric | ($13,000 - $13,999) Males Numeric | ($13,000 - $13,999) Females Numeric | ($14,000 - $14,999) Total Numeric | ($14,000 - $14,999) Males Numeric | ($14,000 - $14,999) Females Numeric | ($15,000 - $17,499) Total Numeric | ($15,000 - $17,499) Males Numeric | ($15,000 - $17,499) Females Numeric | ($17,500 - $19,999) Total Numeric | ($17,500 - $19,999) Males Numeric | ($17,500 - $19,999) Females Text | (20,000 & Over) Total Numeric | (20,000 & Over) Males Numeric | (20,000 & Over) Females Text |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)8.3% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)8.3% | (Null)0.0% | (Null)0.0% | (Null)8.3% |
| Total | 2113.9 | 1157.6 | 956.3 | 24.2 | 11.9 | 12.3 | 78.4 | 45.7 | 32.8 | 93.4 | 53.7 | 39.7 | 99.3 | 56.2 | 43.1 | 117.2 | 66.7 | 50.5 | 121.5 | 66.9 | 54.7 | 134.4 | 74.5 | 60 | 129.4 | 72.3 | 57.1 | 132.2 | 71.6 | 60.6 | 123.7 | 65.8 | 57.9 | 111.7 | 61 | 50.6 | 105.6 | 56.6 | 49 | 96.2 | 51.6 | 44.7 | 82.9 | 44.2 | 38.7 | 79.8 | 43.1 | 36.7 | 147.2 | 79 | 68.2 | 110.3 | 59.4 | 51 | 326.5 | 177.6 | 148.9 |
| Public Bus Only | 347.3 | 152.4 | 194.9 | 6.7 | 2.7 | 4.1 | 24.2 | 12.3 | 11.9 | 23.6 | 10.8 | 12.9 | 22.9 | 10.6 | 12.3 | 24.7 | 11.6 | 13.1 | 23.7 | 10.6 | 13.1 | 27 | 12.1 | 14.9 | 26.9 | 12.2 | 14.7 | 22.4 | 8.8 | 13.6 | 20 | 8.2 | 11.7 | 16.7 | 6.8 | 9.9 | 18.1 | 7.9 | 10.2 | 12.9 | 5.9 | 7 | 12 | 4.5 | 7.5 | 10.4 | 4.2 | 6.2 | 17 | 6.8 | 10.2 | 12.2 | 5.2 | 6.9 | 25.8 | 11.2 | 14.6 |
| MRT Only | 252 | 108.3 | 143.7 | 2.2 | 1 | 1.2 | 6.6 | 2.9 | 3.7 | 8.6 | 4.6 | 4 | 11.3 | 5.4 | 5.9 | 12.8 | 6.3 | 6.6 | 13.8 | 6 | 7.8 | 16.4 | 7.1 | 9.3 | 14.5 | 6.7 | 7.8 | 17 | 7 | 10 | 15.7 | 6 | 9.7 | 15.6 | 7.2 | 8.4 | 12.7 | 4.9 | 7.9 | 10.8 | 3.9 | 6.9 | 10.4 | 4.7 | 5.7 | 10.2 | 3.9 | 6.3 | 19.6 | 7.7 | 11.8 | 15.6 | 7 | 8.6 | 38.2 | 15.9 | 22.3 |
| MRT & Public Bus Only | 517.4 | 245.8 | 271.6 | 6 | 2.9 | 3.1 | 14.9 | 8.4 | 6.5 | 21.9 | 11.4 | 10.5 | 26.2 | 13.5 | 12.8 | 30.2 | 14.8 | 15.4 | 33 | 15.9 | 17.1 | 34.7 | 16.6 | 18.1 | 34 | 16.1 | 17.9 | 37.2 | 18.3 | 18.9 | 34.9 | 16.7 | 18.3 | 29.8 | 14.1 | 15.7 | 30.1 | 14.4 | 15.7 | 25.2 | 11.5 | 13.7 | 21.7 | 10.1 | 11.6 | 20.2 | 9.4 | 10.8 | 36.1 | 16.6 | 19.6 | 25.9 | 11.5 | 14.3 | 55.5 | 23.7 | 31.9 |
| Other combinations of MRT or Public Bus | 113.5 | 57.3 | 56.2 | 0.4 | 0.2 | 0.2 | 2.4 | 1.4 | 1.1 | 2.9 | 1.5 | 1.4 | 3.9 | 2.4 | 1.6 | 5.7 | 2.9 | 2.8 | 5.1 | 2.9 | 2.2 | 7 | 4.2 | 2.7 | 6.1 | 3.3 | 2.8 | 7.5 | 3.7 | 3.8 | 6.6 | 3.1 | 3.5 | 7.1 | 3.7 | 3.3 | 5.3 | 2.6 | 2.7 | 6.1 | 3 | 3.1 | 5.4 | 2.7 | 2.7 | 5.5 | 3 | 2.5 | 10.1 | 4.5 | 5.6 | 7.4 | 3.5 | 3.9 | 19 | 8.8 | 10.2 |
| Taxi Only | 28.4 | 15 | 13.4 | 0.1 | 0.1 | - | 0.7 | 0.4 | 0.4 | 1 | 0.7 | 0.4 | 1.1 | 0.5 | 0.5 | 0.9 | 0.4 | 0.5 | 1.8 | 1 | 0.7 | 1.6 | 1.2 | 0.5 | 1.6 | 1 | 0.6 | 2 | 0.9 | 1.1 | 1.2 | 0.5 | 0.7 | 1.2 | 0.5 | 0.7 | 1.8 | 0.8 | 0.9 | 1.3 | 0.6 | 0.7 | 1.1 | 0.6 | 0.5 | 1.1 | 0.6 | 0.5 | 1.8 | 0.9 | 0.8 | 2 | 0.9 | 1.1 | 6 | 3.4 | 2.6 |
| Car Only | 469.4 | 319.3 | 150.1 | 1.2 | 0.8 | 0.4 | 3.6 | 2.3 | 1.3 | 6.4 | 4.2 | 2.2 | 8.6 | 5.9 | 2.8 | 12.6 | 9 | 3.7 | 14.8 | 10.8 | 4 | 18.2 | 13.1 | 5.1 | 19.4 | 14.3 | 5.1 | 20.6 | 14.7 | 5.9 | 22.9 | 16.3 | 6.6 | 23.2 | 16.3 | 6.9 | 21.5 | 15.2 | 6.3 | 25.5 | 17.4 | 8.1 | 19.8 | 13.6 | 6.2 | 20.9 | 14.5 | 6.4 | 44.6 | 30.4 | 14.2 | 34.5 | 22.6 | 11.9 | 151.2 | 97.9 | 53.2 |
| Private Chartered Bus/Van Only | 58.1 | 36.9 | 21.2 | 0.5 | 0.4 | 0.1 | 1.8 | 1.2 | 0.7 | 3.4 | 2.4 | 0.9 | 3.6 | 2.7 | 0.8 | 4 | 3.1 | 0.9 | 4.5 | 3 | 1.5 | 5.4 | 3.8 | 1.7 | 3.9 | 2.3 | 1.6 | 4.3 | 2.8 | 1.5 | 3.4 | 2.1 | 1.3 | 3 | 1.9 | 1.1 | 3.4 | 2.1 | 1.3 | 2.6 | 1.3 | 1.3 | 2.4 | 1.2 | 1.2 | 1.9 | 0.9 | 0.9 | 3.6 | 2.5 | 1.2 | 2.1 | 1.5 | 0.6 | 4.3 | 1.7 | 2.5 |
| Lorry/Pickup Only | 42.8 | 38.4 | 4.4 | 0.5 | 0.4 | 0.1 | 2 | 1.7 | 0.3 | 3.8 | 3.3 | 0.5 | 3.5 | 3.3 | 0.3 | 4.1 | 3.7 | 0.4 | 3.5 | 3.3 | 0.2 | 3.9 | 3.4 | 0.6 | 3.9 | 3.4 | 0.4 | 3.6 | 3.5 | 0.1 | 2.3 | 2.1 | 0.2 | 2.6 | 2.4 | 0.3 | 2.3 | 1.9 | 0.4 | 1.3 | 1.2 | 0.1 | 0.8 | 0.7 | 0.1 | 0.9 | 0.7 | 0.2 | 1.7 | 1.5 | 0.2 | 0.8 | 0.8 | - | 1.3 | 1.3 | - |
| Motorcycle/Scooter Only | 72.9 | 68.5 | 4.4 | 0.6 | 0.5 | 0.1 | 2.9 | 2.8 | 0.1 | 3.6 | 3.5 | 0.1 | 4.2 | 4.1 | 0.1 | 6 | 5.7 | 0.2 | 5.9 | 5.4 | 0.5 | 5.7 | 5.2 | 0.4 | 5.7 | 5.4 | 0.2 | 6.3 | 5.8 | 0.5 | 5.4 | 5.1 | 0.3 | 3.7 | 3.5 | 0.2 | 4 | 3.6 | 0.4 | 3.1 | 3 | 0.2 | 3.3 | 3 | 0.2 | 2.3 | 2.2 | 0.1 | 3.7 | 3.5 | 0.2 | 2.7 | 2.4 | 0.3 | 3.9 | 3.7 | 0.3 |
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This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.
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import requests
dataset_id = "d_661c632b9ee301ddf915bf4f0f73b704"
url = "https://data.gov.sg/api/action/datastore_search?resource_id=" + dataset_id
response = requests.get(url)
print(response.json())This dataset can be reused and cited in research publications.
24 Nov 2023
Free forever for personal or commercial use, under the Open Data Licence.
Title | Column name | Data type | Unit of measure | Description |
|---|---|---|---|---|
| Thousands | Thousands | Text | Thousands | - |
| (Total) Total | Total_Total | Numeric | Thousands | - |
| (Total) Males | Total_Males | Numeric | Thousands | - |
| (Total) Females | Total_Females | Numeric | Thousands | - |
| (Below $1,000) Total | Below_1_000_Total | Numeric | Thousands | - |
| (Below $1,000) Males | Below_1_000_Males | Numeric | Thousands | - |
| (Below $1,000) Females | Below_1_000_Females | Text | Thousands | - |
| ($1,000 - $1,999) Total | 1_000_1_999_Total | Numeric | Thousands | - |
| ($1,000 - $1,999) Males | 1_000_1_999_Males | Numeric | Thousands | - |
| ($1,000 - $1,999) Females | 1_000_1_999_Females | Numeric | Thousands | - |