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Last updated: 21 Jun 2025, 19:00 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 29/03/2016
Update Frequency: 10 years
Survey period: General Household Survey 2005
Footnotes: Household income from work includes employer CPF contributions.
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8843
Number Text | (Total) Total Numeric | (Total) Males Numeric | (Total) Females Numeric | (Below $1,000*) Total Numeric | (Below $1,000*) Males Numeric | (Below $1,000*) Females Numeric | ($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 & Over) Total Numeric | ($8,000 & Over) Males Numeric | ($8,000 & Over) Females Numeric |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(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% |
Total | 778569 | 402443 | 376126 | 53542 | 27716 | 25827 | 89902 | 46232 | 43670 | 102596 | 53788 | 48808 | 97086 | 50494 | 46592 | 79054 | 40984 | 38069 | 64352 | 33076 | 31276 | 50856 | 26287 | 24569 | 41674 | 22022 | 19653 | 199507 | 101844 | 97663 |
No Transport Required | 244965 | 130830 | 114135 | 17571 | 8908 | 8664 | 35399 | 18652 | 16748 | 39190 | 21152 | 18038 | 35538 | 19076 | 16462 | 27180 | 14728 | 12452 | 21021 | 11470 | 9551 | 16312 | 8630 | 7682 | 12939 | 6834 | 6105 | 39815 | 21381 | 18434 |
One Mode Of Transport | 423303 | 217046 | 206257 | 27456 | 14457 | 13000 | 43787 | 22212 | 21575 | 51106 | 26781 | 24324 | 48528 | 25133 | 23395 | 40872 | 20675 | 20197 | 34496 | 17335 | 17161 | 26828 | 13640 | 13188 | 22712 | 11997 | 10715 | 127518 | 64817 | 62701 |
Public Bus Only | 211076 | 108127 | 102950 | 17538 | 8863 | 8675 | 29986 | 15139 | 14847 | 32085 | 16455 | 15630 | 29317 | 15209 | 14108 | 23118 | 11838 | 11280 | 17400 | 8736 | 8664 | 12732 | 6392 | 6340 | 10070 | 5467 | 4604 | 38830 | 20028 | 18802 |
Private Chartered Bus/Van Only | 92003 | 46516 | 45488 | 3808 | 2060 | 1748 | 5384 | 2586 | 2798 | 8129 | 4360 | 3770 | 8089 | 3993 | 4096 | 7383 | 3657 | 3726 | 6980 | 3312 | 3668 | 6468 | 3289 | 3178 | 5330 | 2678 | 2652 | 40432 | 20581 | 19851 |
MRT Only | 30031 | 15283 | 14748 | 2115 | 1168 | 947 | 3854 | 2033 | 1821 | 4319 | 2115 | 2204 | 3910 | 1923 | 1987 | 3501 | 1543 | 1957 | 3011 | 1543 | 1467 | 2031 | 1034 | 998 | 1853 | 1038 | 815 | 5438 | 2886 | 2551 |
Car Only | 71042 | 35597 | 35445 | 2816 | 1588 | 1229 | 1669 | 825 | 844 | 2943 | 1685 | 1258 | 4409 | 2348 | 2061 | 4699 | 2332 | 2367 | 5302 | 2700 | 2602 | 4629 | 2345 | 2284 | 4672 | 2301 | 2371 | 39903 | 19474 | 20429 |
Others | 19151 | 11524 | 7627 | 1178 | 777 | 401 | 2896 | 1629 | 1266 | 3630 | 2168 | 1463 | 2803 | 1660 | 1143 | 2170 | 1304 | 866 | 1804 | 1043 | 760 | 968 | 580 | 388 | 787 | 514 | 273 | 2915 | 1848 | 1067 |
Two Or More Modes Of Transport | 110301 | 54567 | 55734 | 8515 | 4351 | 4164 | 10716 | 5369 | 5347 | 12300 | 5854 | 6446 | 13019 | 6285 | 6734 | 11002 | 5581 | 5421 | 8835 | 4272 | 4563 | 7716 | 4017 | 3699 | 6024 | 3191 | 2833 | 32174 | 15646 | 16528 |
MRT & Public Bus Only | 80050 | 39781 | 40269 | 6815 | 3500 | 3315 | 8746 | 4410 | 4336 | 9900 | 4703 | 5197 | 10492 | 4968 | 5523 | 8632 | 4360 | 4273 | 6987 | 3371 | 3616 | 5818 | 3054 | 2764 | 4316 | 2362 | 1954 | 18344 | 9054 | 9290 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Number | Number | Text | Number | - |
(Total) Total | Total_Total | Numeric | Number | - |
(Total) Males | Total_Males | Numeric | Number | - |
(Total) Females | Total_Females | Numeric | Number | - |
(Below $1,000*) Total | Below_1_000_Total | Numeric | Number | - |
(Below $1,000*) Males | Below_1_000_Males | Numeric | Number | - |
(Below $1,000*) Females | Below_1_000_Females | Numeric | Number | - |
($1,000 - $1,999) Total | 1_000_1_999_Total | Numeric | Number | - |
($1,000 - $1,999) Males | 1_000_1_999_Males | Numeric | Number | - |
($1,000 - $1,999) Females | 1_000_1_999_Females | Numeric | Number | - |
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.
import requests
dataset_id = "d_53d2757172fd3b21f71c1399b90af8a1"
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.
26 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.