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Last updated: 21 Jun 2025, 19:01 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 29/03/2016
Update Frequency: 10 years
Survey period: General Household Survey 2005
Footnotes: Income from work includes employer CPF contributions.
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8844
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 - $1,499) Total Numeric | ($1,000 - $1,499) Males Numeric | ($1,000 - $1,499) Females Numeric | ($1,500 - $1,999) Total Numeric | ($1,500 - $1,999) Males Numeric | ($1,500 - $1,999) Females Numeric | ($2,000 - $2,499) Total Numeric | ($2,000 - $2,499) Males Numeric | ($2,000 - $2,499) Females Numeric | ($2,500 - $2,999) Total Numeric | ($2,500 - $2,999) Males Numeric | ($2,500 - $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 & Over) Total Numeric | ($6,000 & Over) Males Numeric | ($6,000 & 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 | 1647294 | 959689 | 687605 | 195445 | 106423 | 89022 | 196912 | 106462 | 90450 | 191572 | 104117 | 87456 | 186378 | 104678 | 81699 | 141995 | 78962 | 63033 | 236618 | 136549 | 100070 | 144079 | 86667 | 57412 | 97813 | 61629 | 36184 | 256481 | 174203 | 82278 |
No Transport Required | 125294 | 72740 | 52554 | 33669 | 14591 | 19078 | 30588 | 19727 | 10860 | 19362 | 12887 | 6475 | 12322 | 7548 | 4773 | 6122 | 3675 | 2447 | 8735 | 5199 | 3535 | 3863 | 2405 | 1458 | 3409 | 2071 | 1338 | 7226 | 4635 | 2590 |
One Mode Of Transport | 1159947 | 704298 | 455648 | 123994 | 68305 | 55689 | 131025 | 69810 | 61215 | 130064 | 72656 | 57408 | 128721 | 77067 | 51654 | 97877 | 58573 | 39304 | 167668 | 102258 | 65409 | 103109 | 65262 | 37846 | 72086 | 47255 | 24831 | 205402 | 143111 | 62291 |
Public Bus Only | 360571 | 172550 | 188021 | 70925 | 35160 | 35765 | 64248 | 29294 | 34954 | 52568 | 22946 | 29622 | 43339 | 19450 | 23888 | 30473 | 14137 | 16336 | 43987 | 21539 | 22449 | 23042 | 12221 | 10821 | 12432 | 7059 | 5373 | 19557 | 10744 | 8813 |
Private Chartered Bus/Van Only | 88833 | 54571 | 34262 | 7439 | 3486 | 3952 | 13220 | 6463 | 6758 | 14403 | 8544 | 5859 | 12737 | 8285 | 4452 | 10093 | 6761 | 3332 | 14019 | 9253 | 4766 | 7682 | 5225 | 2457 | 4053 | 2815 | 1238 | 5186 | 3739 | 1447 |
MRT Only | 165914 | 73524 | 92390 | 14340 | 7411 | 6929 | 17583 | 7307 | 10277 | 20547 | 7552 | 12996 | 20792 | 8773 | 12019 | 17224 | 6845 | 10378 | 28321 | 11778 | 16544 | 16945 | 7904 | 9041 | 10472 | 4957 | 5515 | 19689 | 10998 | 8691 |
Car Only | 377759 | 263079 | 114679 | 12869 | 7480 | 5388 | 12911 | 7125 | 5785 | 16476 | 10420 | 6056 | 27356 | 18449 | 8908 | 22240 | 15295 | 6945 | 55288 | 37609 | 17679 | 43474 | 30208 | 13266 | 38681 | 27660 | 11021 | 148464 | 108833 | 39631 |
Taxi Only | 22368 | 10379 | 11989 | 1303 | 868 | 435 | 506 | 186 | 320 | 920 | 404 | 517 | 1245 | 442 | 803 | 1282 | 321 | 961 | 3720 | 1271 | 2450 | 2757 | 1000 | 1757 | 2391 | 1049 | 1343 | 8242 | 4840 | 3402 |
Lorry/Pickup Only | 42921 | 38778 | 4142 | 4473 | 3402 | 1071 | 7482 | 6602 | 880 | 8672 | 7844 | 829 | 8670 | 8170 | 500 | 4986 | 4755 | 231 | 5670 | 5299 | 371 | 1588 | 1430 | 158 | 858 | 782 | 77 | 521 | 495 | 26 |
Motorcycle/Scooter Only | 75660 | 71261 | 4399 | 7468 | 6748 | 720 | 9501 | 8634 | 867 | 11909 | 11269 | 640 | 11671 | 11069 | 602 | 9588 | 8899 | 689 | 13994 | 13353 | 641 | 6428 | 6352 | 77 | 2488 | 2377 | 111 | 2612 | 2561 | 51 |
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 - $1,499) Total | 1_000_1_499_Total | Numeric | Number | - |
($1,000 - $1,499) Males | 1_000_1_499_Males | Numeric | Number | - |
($1,000 - $1,499) Females | 1_000_1_499_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_1e3642ca5ce0ed372e3e7cb08b7f3f55"
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.