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Updated 7 months ago
SINGSTAT (Singapore Department of Statistics)Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 24/03/2016
Update Frequency: 10 years
Survey period: Census of Population 2010
Footnotes: Note: Data exclude students who were overseas for at least 6 months.Household income from work includes employer CPF contributions.
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8647
Number Text | (Total) Total Numeric | (Total) Males Numeric | (Total) Females Numeric | (No Working Person) Total Numeric | (No Working Person) Males Numeric | (No Working Person) Females Text | (Below $1,000) Total Numeric | (Below $1,000) Males Numeric | (Below $1,000) Females Text | ($1,000 - $1,999) Total Text | ($1,000 - $1,999) Males Text | ($1,000 - $1,999) Females Text | ($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 Text | ($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 Text | ($14,000 - $14,999) Total Numeric | ($14,000 - $14,999) Males Numeric | ($14,000 - $14,999) Females Text | ($15,000 & Over) Total Numeric | ($15,000 & Over) Males Numeric | ($15,000 & Over) Females Numeric |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)7.7% | (Null)0.0% | (Null)0.0% | (Null)15.4% | (Null)7.7% | (Null)7.7% | (Null)7.7% | (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)15.4% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)7.7% | (Null)0.0% | (Null)0.0% | (Null)7.7% | (Null)0.0% | (Null)0.0% | (Null)0.0% |
Total | 792117 | 403421 | 388696 | 32026 | 15999 | 16027 | 15841 | 8267 | 7574 | 52896 | 26816 | 26080 | 67143 | 34789 | 32355 | 72304 | 37573 | 34731 | 70043 | 36236 | 33807 | 65304 | 33528 | 31776 | 57281 | 29505 | 27776 | 48877 | 25014 | 23863 | 43949 | 22432 | 21517 | 35479 | 18105 | 17374 | 32192 | 16656 | 15536 | 25941 | 13192 | 12749 | 22053 | 11258 | 10795 | 17819 | 8931 | 8889 | 14883 | 7699 | 7184 | 118086 | 57421 | 60665 |
Public Bus Only | 207256 | 105943 | 101313 | 9682 | 4660 | 5022 | 6141 | 3099 | 3042 | 19003 | 9578 | 9425 | 22117 | 11598 | 10519 | 22787 | 11964 | 10824 | 20867 | 10683 | 10184 | 18149 | 9354 | 8795 | 15535 | 7918 | 7617 | 12195 | 6288 | 5907 | 10465 | 5325 | 5139 | 8203 | 4123 | 4080 | 7226 | 3751 | 3474 | 5394 | 2679 | 2715 | 4348 | 2244 | 2104 | 3488 | 1818 | 1670 | 3143 | 1633 | 1510 | 18514 | 9228 | 9286 |
MRT Only | 45452 | 22789 | 22663 | 2043 | 1062 | 981 | 1218 | 571 | 647 | 3566 | 1671 | 1895 | 4249 | 2100 | 2149 | 4548 | 2375 | 2173 | 4342 | 2241 | 2101 | 3843 | 1943 | 1900 | 3715 | 1874 | 1841 | 2850 | 1454 | 1396 | 2553 | 1245 | 1307 | 2072 | 929 | 1143 | 1868 | 980 | 888 | 1371 | 686 | 684 | 1071 | 598 | 473 | 796 | 346 | 450 | 768 | 452 | 316 | 4579 | 2262 | 2317 |
MRT & Public Bus Only | 110931 | 53680 | 57251 | 5612 | 2823 | 2788 | 2467 | 1249 | 1218 | 7642 | 3630 | 4012 | 10096 | 5076 | 5020 | 10858 | 5390 | 5469 | 10166 | 4886 | 5280 | 9693 | 4603 | 5089 | 8229 | 3838 | 4391 | 7358 | 3498 | 3861 | 6505 | 3025 | 3480 | 5053 | 2515 | 2538 | 4632 | 2244 | 2388 | 3794 | 1942 | 1853 | 3077 | 1451 | 1626 | 2143 | 945 | 1199 | 1799 | 936 | 863 | 11807 | 5629 | 6177 |
MRT & Car Only | 2053 | 1106 | 946 | 56 | 25 | 31 | 19 | 6 | 12 | na | na | na | 63 | 33 | 31 | 64 | 31 | 32 | 53 | 13 | 40 | 56 | 25 | 31 | 91 | 46 | 45 | 120 | 83 | 37 | 100 | 51 | 49 | 99 | 68 | 31 | 156 | 51 | 105 | 83 | 45 | 37 | 101 | 52 | 49 | 93 | 62 | 31 | 90 | 46 | 44 | 811 | 469 | 341 |
MRT & Another Mode | 3140 | 1562 | 1578 | 95 | 50 | 45 | 75 | 44 | 31 | 260 | 141 | 119 | 301 | 147 | 154 | 277 | 134 | 143 | 335 | 127 | 207 | 274 | 151 | 123 | 289 | 158 | 131 | 192 | 69 | 123 | 159 | 71 | 88 | 196 | 108 | 88 | 107 | 69 | 39 | 65 | 31 | 34 | 128 | 60 | 68 | 46 | 33 | 13 | 59 | 32 | 27 | 283 | 138 | 144 |
Taxi Only | 1782 | 823 | 960 | 70 | 21 | 49 | 32 | 32 | na | 337 | 188 | 149 | 177 | 77 | 99 | 163 | 70 | 93 | 174 | 106 | 68 | 128 | 38 | 89 | 149 | 44 | 105 | 85 | 34 | 51 | 44 | 19 | 25 | 46 | 33 | 13 | 33 | 15 | 19 | 44 | 44 | na | 68 | 25 | 43 | 21 | 6 | 14 | 25 | 12 | 12 | 188 | 58 | 130 |
Car Only | 89384 | 44769 | 44615 | 2762 | 1409 | 1353 | 593 | 299 | 294 | 1213 | 692 | 521 | 2163 | 1033 | 1130 | 3261 | 1704 | 1557 | 3816 | 1844 | 1971 | 4576 | 2340 | 2236 | 4747 | 2363 | 2384 | 4467 | 2162 | 2304 | 5257 | 2826 | 2431 | 4019 | 1910 | 2109 | 4899 | 2567 | 2333 | 3816 | 1889 | 1927 | 3927 | 1989 | 1938 | 3438 | 1753 | 1685 | 2631 | 1450 | 1180 | 33798 | 16538 | 17261 |
Private Chartered Bus/Van Only | 74798 | 36485 | 38313 | 2105 | 988 | 1117 | 711 | 401 | 310 | 2289 | 1106 | 1183 | 3305 | 1745 | 1560 | 4438 | 2234 | 2204 | 4696 | 2496 | 2200 | 4977 | 2417 | 2559 | 4645 | 2459 | 2186 | 4672 | 2237 | 2435 | 4384 | 2176 | 2207 | 3904 | 1879 | 2025 | 3501 | 1729 | 1771 | 3179 | 1629 | 1550 | 2838 | 1366 | 1472 | 2633 | 1307 | 1325 | 2447 | 1218 | 1229 | 20076 | 9096 | 10979 |
Lorry/Pickup Only | 2259 | 1323 | 935 | 12 | 12 | na | 12 | 12 | na | 194 | 100 | 94 | 382 | 176 | 206 | 513 | 349 | 164 | 258 | 182 | 76 | 220 | 120 | 100 | 172 | 103 | 70 | 96 | 38 | 59 | 94 | 50 | 43 | 57 | 38 | 19 | 33 | 19 | 14 | 29 | 29 | na | 27 | 6 | 21 | 65 | 37 | 28 | 14 | 14 | na | 79 | 37 | 42 |
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 | - |
(No Working Person) Total | NoWorkingPerson_Total | Numeric | Number | - |
(No Working Person) Males | NoWorkingPerson_Males | Numeric | Number | - |
(No Working Person) Females | NoWorkingPerson_Females | Text | 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 | Text | Number | - |
($1,000 - $1,999) Total | 1_000_1_999_Total | Text | Number | - |
($1,000 - $1,999) Males | 1_000_1_999_Males | Text | Number | - |
($1,000 - $1,999) Females | 1_000_1_999_Females | Text | Number | - |
($2,000 - $2,999) Total | 2_000_2_999_Total | Numeric | Number | - |
($2,000 - $2,999) Males | 2_000_2_999_Males | Numeric | Number | - |
($2,000 - $2,999) Females | 2_000_2_999_Females | Numeric | Number | - |
($3,000 - $3,999) Total | 3_000_3_999_Total | Numeric | Number | - |
($3,000 - $3,999) Males | 3_000_3_999_Males | Numeric | Number | - |
($3,000 - $3,999) Females | 3_000_3_999_Females | Numeric | Number | - |
($4,000 - $4,999) Total | 4_000_4_999_Total | Numeric | Number | - |
($4,000 - $4,999) Males | 4_000_4_999_Males | Numeric | Number | - |
($4,000 - $4,999) Females | 4_000_4_999_Females | Numeric | Number | - |
($5,000 - $5,999) Total | 5_000_5_999_Total | Numeric | Number | - |
($5,000 - $5,999) Males | 5_000_5_999_Males | Numeric | Number | - |
($5,000 - $5,999) Females | 5_000_5_999_Females | Numeric | Number | - |
($6,000 - $6,999) Total | 6_000_6_999_Total | Numeric | Number | - |
($6,000 - $6,999) Males | 6_000_6_999_Males | Numeric | Number | - |
($6,000 - $6,999) Females | 6_000_6_999_Females | Numeric | Number | - |
($7,000 - $7,999) Total | 7_000_7_999_Total | Numeric | Number | - |
($7,000 - $7,999) Males | 7_000_7_999_Males | Numeric | Number | - |
($7,000 - $7,999) Females | 7_000_7_999_Females | Numeric | Number | - |
($8,000 - $8,999) Total | 8_000_8_999_Total | Numeric | Number | - |
($8,000 - $8,999) Males | 8_000_8_999_Males | Numeric | Number | - |
($8,000 - $8,999) Females | 8_000_8_999_Females | Numeric | Number | - |
($9,000 - $9,999) Total | 9_000_9_999_Total | Numeric | Number | - |
($9,000 - $9,999) Males | 9_000_9_999_Males | Numeric | Number | - |
($9,000 - $9,999) Females | 9_000_9_999_Females | Numeric | Number | - |
($10,000 - $10,999) Total | 10_000_10_999_Total | Numeric | Number | - |
($10,000 - $10,999) Males | 10_000_10_999_Males | Numeric | Number | - |
($10,000 - $10,999) Females | 10_000_10_999_Females | Numeric | Number | - |
($11,000 - $11,999) Total | 11_000_11_999_Total | Numeric | Number | - |
($11,000 - $11,999) Males | 11_000_11_999_Males | Numeric | Number | - |
($11,000 - $11,999) Females | 11_000_11_999_Females | Text | Number | - |
($12,000 - $12,999) Total | 12_000_12_999_Total | Numeric | Number | - |
($12,000 - $12,999) Males | 12_000_12_999_Males | Numeric | Number | - |
($12,000 - $12,999) Females | 12_000_12_999_Females | Numeric | Number | - |
($13,000 - $13,999) Total | 13_000_13_999_Total | Numeric | Number | - |
($13,000 - $13,999) Males | 13_000_13_999_Males | Numeric | Number | - |
($13,000 - $13,999) Females | 13_000_13_999_Females | Text | Number | - |
($14,000 - $14,999) Total | 14_000_14_999_Total | Numeric | Number | - |
($14,000 - $14,999) Males | 14_000_14_999_Males | Numeric | Number | - |
($14,000 - $14,999) Females | 14_000_14_999_Females | Text | Number | - |
($15,000 & Over) Total | 15_000andOver_Total | Numeric | Number | - |
($15,000 & Over) Males | 15_000andOver_Males | Numeric | Number | - |
($15,000 & Over) Females | 15_000andOver_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_299a510be8ce94fdab91359cbf87f83a"
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 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.