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LTA real-time datasets will be unavailable on 6 July 2025, 12:00 AM – 8:00 AM due to scheduled maintenance of LTA Datamall. For further queries reach out to support@data.gov.sg.
Last updated: 07 Jun 2025, 21:01 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 18/06/2021
Update Frequency: 10 years
Survey period: Census of Population 2020
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17559
Number Text | [Total] (Total) Total Numeric | [Total] (Total) Males Numeric | [Total] (Total) Females Numeric | [Total] (Single) Total Numeric | [Total] (Single) Males Numeric | [Total] (Single) Females Numeric | [Total] (Married) Total Numeric | [Total] (Married) Males Numeric | [Total] (Married) Females Numeric | [Total] (Widowed) Total Text | [Total] (Widowed) Males Text | [Total] (Widowed) Females Text | [Total] (Divorced/Separated) Total Text | [Total] (Divorced/Separated) Males Text | [Total] (Divorced/Separated) Females Text | [Chinese] (Total) Total Numeric | [Chinese] (Total) Males Numeric | [Chinese] (Total) Females Numeric | [Chinese] (Single) Total Numeric | [Chinese] (Single) Males Numeric | [Chinese] (Single) Females Numeric | [Chinese] (Married) Total Numeric | [Chinese] (Married) Males Numeric | [Chinese] (Married) Females Numeric | [Chinese] (Widowed) Total Text | [Chinese] (Widowed) Males Text | [Chinese] (Widowed) Females Text | [Chinese] (Divorced/Separated) Total Text | [Chinese] (Divorced/Separated) Males Text | [Chinese] (Divorced/Separated) Females Text | [Malays] (Total) Total Numeric | [Malays] (Total) Males Numeric | [Malays] (Total) Females Numeric | [Malays] (Single) Total Numeric | [Malays] (Single) Males Numeric | [Malays] (Single) Females Numeric | [Malays] (Married) Total Numeric | [Malays] (Married) Males Text | [Malays] (Married) Females Numeric | [Malays] (Widowed) Total Text | [Malays] (Widowed) Males Text | [Malays] (Widowed) Females Text | [Malays] (Divorced/Separated) Total Text | [Malays] (Divorced/Separated) Males Text | [Malays] (Divorced/Separated) Females Text | [Indians] (Total) Total Numeric | [Indians] (Total) Males Numeric | [Indians] (Total) Females Numeric | [Indians] (Single) Total Numeric | [Indians] (Single) Males Numeric | [Indians] (Single) Females Numeric | [Indians] (Married) Total Text | [Indians] (Married) Males Text | [Indians] (Married) Females Text | [Indians] (Widowed) Total Text | [Indians] (Widowed) Males Text | [Indians] (Widowed) Females Text | [Indians] (Divorced/Separated) Total Text | [Indians] (Divorced/Separated) Males Text | [Indians] (Divorced/Separated) Females Text | [Others] (Total) Total Numeric | [Others] (Total) Males Numeric | [Others] (Total) Females Numeric | [Others] (Single) Total Numeric | [Others] (Single) Males Numeric | [Others] (Single) Females Numeric | [Others] (Married) Total Text | [Others] (Married) Males Text | [Others] (Married) Females Text | [Others] (Widowed) Total Text | [Others] (Widowed) Males Text | [Others] (Widowed) Females Text | [Others] (Divorced/Separated) Total Text | [Others] (Divorced/Separated) Males Text | [Others] (Divorced/Separated) Females Text |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(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)23.1% | (Null)38.5% | (Null)23.1% | (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)30.8% | (Null)38.5% | (Null)38.5% | (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)7.7% | (Null)0.0% | (Null)23.1% | (Null)46.2% | (Null)23.1% | (Null)7.7% | (Null)23.1% | (Null)7.7% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)7.7% | (Null)7.7% | (Null)7.7% | (Null)30.8% | (Null)61.5% | (Null)30.8% | (Null)7.7% | (Null)15.4% | (Null)7.7% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)7.7% | (Null)7.7% | (Null)7.7% | (Null)30.8% | (Null)69.2% | (Null)30.8% | (Null)15.4% | (Null)46.2% | (Null)15.4% |
Total | 1115608 | 417424 | 698185 | 390196 | 197856 | 192340 | 551779 | 187855 | 363924 | 138610 | 21249 | 117361 | 35023 | 10463 | 24561 | 831055 | 325147 | 505908 | 285446 | 145532 | 139914 | 412991 | 154809 | 258182 | 107399 | 16755 | 90644 | 25218 | 8051 | 17167 | 159715 | 51790 | 107925 | 55430 | 28834 | 26596 | 78330 | 18852 | 59478 | 19805 | 3050 | 16755 | 6149 | 1055 | 5095 | 93099 | 30960 | 62139 | 36907 | 17539 | 19368 | 43524 | 11083 | 32441 | 9818 | 1204 | 8614 | 2851 | 1134 | 1716 | 31740 | 9526 | 22213 | 12413 | 5952 | 6461 | 16933 | 3111 | 13822 | 1588 | 240 | 1348 | 805 | 223 | 582 |
15 - 19 | 186167 | 92170 | 93997 | 186100 | 92161 | 93939 | 67 | 9 | 58 | - | - | - | - | - | - | 124892 | 61872 | 63021 | 124861 | 61862 | 62999 | 32 | 9 | 22 | - | - | - | - | - | - | 32491 | 17051 | 15439 | 32455 | 17051 | 15403 | 36 | - | 36 | - | - | - | - | - | - | 21242 | 9865 | 11377 | 21242 | 9865 | 11377 | - | - | - | - | - | - | - | - | - | 7542 | 3382 | 4160 | 7542 | 3382 | 4160 | - | - | - | - | - | - | - | - | - |
20 - 24 | 105000 | 54074 | 50927 | 103286 | 53863 | 49423 | 1646 | 200 | 1446 | - | - | - | 68 | 10 | 58 | 77806 | 40657 | 37148 | 77186 | 40568 | 36618 | 605 | 79 | 526 | - | - | - | 14 | 10 | 4 | 13844 | 6847 | 6997 | 13101 | 6770 | 6331 | 711 | 77 | 634 | - | - | - | 32 | - | 32 | 9975 | 4879 | 5096 | 9692 | 4850 | 4841 | 278 | 29 | 249 | - | - | - | 5 | - | 5 | 3376 | 1690 | 1685 | 3307 | 1675 | 1632 | 52 | 16 | 37 | - | - | - | 16 | - | 16 |
25 - 29 | 29696 | 16201 | 13495 | 22464 | 15469 | 6995 | 6917 | 705 | 6213 | - | - | - | 314 | 27 | 287 | 19607 | 12750 | 6857 | 17039 | 12225 | 4814 | 2421 | 516 | 1904 | - | - | - | 147 | 9 | 138 | 6108 | 1890 | 4218 | 2913 | 1793 | 1121 | 3076 | 97 | 2979 | - | - | - | 119 | - | 119 | 3028 | 1258 | 1770 | 2063 | 1165 | 898 | 929 | 75 | 854 | - | - | - | 37 | 18 | 19 | 952 | 302 | 650 | 449 | 286 | 163 | 492 | 16 | 475 | - | - | - | 12 | - | 12 |
30 - 34 | 23049 | 5309 | 17740 | 6789 | 4012 | 2777 | 15833 | 1191 | 14642 | 24 | - | 24 | 404 | 107 | 297 | 13480 | 4023 | 9457 | 5354 | 3208 | 2146 | 7972 | 756 | 7216 | - | - | - | 154 | 59 | 95 | 5497 | 855 | 4642 | 956 | 574 | 382 | 4370 | 251 | 4119 | 5 | - | 5 | 165 | 29 | 135 | 2606 | 283 | 2323 | 308 | 123 | 185 | 2227 | 142 | 2085 | 19 | - | 19 | 52 | 18 | 34 | 1467 | 148 | 1318 | 170 | 106 | 64 | 1263 | 42 | 1221 | - | - | - | 33 | - | 33 |
35 - 39 | 29419 | 4374 | 25045 | 4298 | 2156 | 2142 | 24415 | 2081 | 22334 | 62 | 35 | 28 | 643 | 103 | 540 | 16289 | 3177 | 13112 | 3263 | 1666 | 1597 | 12699 | 1425 | 11274 | 18 | 18 | - | 309 | 68 | 241 | 5683 | 587 | 5097 | 507 | 179 | 327 | 4915 | 386 | 4529 | 34 | 17 | 18 | 228 | 5 | 223 | 5308 | 517 | 4791 | 373 | 263 | 110 | 4848 | 224 | 4624 | - | - | - | 86 | 30 | 57 | 2139 | 93 | 2045 | 155 | 47 | 108 | 1954 | 46 | 1907 | 10 | - | 10 | 20 | - | 20 |
40 - 44 | 33998 | 4686 | 29312 | 3954 | 2162 | 1791 | 28977 | 2264 | 26713 | 126 | - | 126 | 941 | 259 | 682 | 21170 | 3566 | 17605 | 3260 | 1740 | 1520 | 17357 | 1656 | 15701 | 36 | - | 36 | 517 | 170 | 348 | 5129 | 624 | 4505 | 412 | 277 | 136 | 4349 | 294 | 4055 | 44 | - | 44 | 324 | 53 | 271 | 5393 | 345 | 5048 | 241 | 114 | 127 | 5035 | 194 | 4841 | 16 | - | 16 | 100 | 37 | 63 | 2306 | 152 | 2154 | 40 | 32 | 9 | 2236 | 120 | 2116 | 30 | - | 30 | - | - | - |
45 - 49 | 41532 | 6787 | 34745 | 5337 | 2562 | 2775 | 34055 | 3624 | 30431 | 351 | 5 | 347 | 1789 | 597 | 1192 | 27742 | 5300 | 22442 | 4488 | 2188 | 2300 | 22009 | 2748 | 19261 | 186 | 5 | 181 | 1059 | 359 | 700 | 6562 | 594 | 5967 | 490 | 188 | 302 | 5529 | 330 | 5199 | 116 | - | 116 | 427 | 76 | 350 | 4756 | 690 | 4066 | 291 | 138 | 153 | 4202 | 415 | 3787 | 16 | - | 16 | 247 | 137 | 110 | 2472 | 202 | 2270 | 68 | 47 | 21 | 2314 | 130 | 2184 | 34 | - | 34 | 56 | 24 | 32 |
50 - 54 | 53202 | 10661 | 42541 | 7321 | 3601 | 3720 | 41964 | 6064 | 35900 | 1090 | 89 | 1001 | 2826 | 906 | 1920 | 36556 | 8163 | 28394 | 5786 | 2867 | 2919 | 28337 | 4624 | 23713 | 525 | 60 | 465 | 1908 | 612 | 1296 | 9636 | 1385 | 8251 | 845 | 434 | 411 | 7810 | 753 | 7057 | 438 | 30 | 409 | 543 | 168 | 375 | 4683 | 839 | 3844 | 613 | 244 | 368 | 3712 | 478 | 3235 | 90 | - | 90 | 268 | 117 | 151 | 2326 | 274 | 2052 | 77 | 57 | 21 | 2105 | 209 | 1895 | 37 | - | 37 | 108 | 8 | 99 |
55 - 59 | 77629 | 20779 | 56850 | 10730 | 5581 | 5149 | 59179 | 13637 | 45542 | 3437 | 446 | 2991 | 4283 | 1115 | 3168 | 55293 | 16226 | 39067 | 8968 | 4791 | 4178 | 41604 | 10322 | 31281 | 1924 | 306 | 1618 | 2797 | 807 | 1990 | 14879 | 2853 | 12026 | 1170 | 571 | 599 | 11593 | 2009 | 9584 | 1176 | 114 | 1063 | 939 | 158 | 781 | 5532 | 1319 | 4213 | 494 | 196 | 298 | 4271 | 963 | 3308 | 324 | 22 | 302 | 443 | 138 | 305 | 1926 | 381 | 1545 | 98 | 23 | 75 | 1711 | 343 | 1368 | 13 | 4 | 9 | 104 | 12 | 93 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Number | Number | Text | Number | - |
[Total] (Total) Total | Total_Total_Total | Numeric | Number | - |
[Total] (Total) Males | Total_Total_Males | Numeric | Number | - |
[Total] (Total) Females | Total_Total_Females | Numeric | Number | - |
[Total] (Single) Total | Total_Single_Total | Numeric | Number | - |
[Total] (Single) Males | Total_Single_Males | Numeric | Number | - |
[Total] (Single) Females | Total_Single_Females | Numeric | Number | - |
[Total] (Married) Total | Total_Married_Total | Numeric | Number | - |
[Total] (Married) Males | Total_Married_Males | Numeric | Number | - |
[Total] (Married) Females | Total_Married_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_c86f0289d3df361098167e12d6f06fe9"
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.
22 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.