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Updated 23 days ago
SINGSTAT (Singapore Department of Statistics)Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 16/06/2021
Update Frequency: 10 years
Survey period: Census of Population 2020
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17463
Number Text | (Total) Total Numeric | (Total) Males Numeric | (Total) Females Numeric | (Singapore) Total Numeric | (Singapore) Males Numeric | (Singapore) Females Numeric | (Malaysia) Total Numeric | (Malaysia) Males Numeric | (Malaysia) Females Numeric | (Mainland China) Total Text | (Mainland China) Males Text | (Mainland China) Females Text | (India) Total Text | (India) Males Text | (India) Females Text | (Indonesia) Total Numeric | (Indonesia) Males Numeric | (Indonesia) Females Numeric | (Other Asian Countries / Regions) Total Numeric | (Other Asian Countries / Regions) Males Numeric | (Other Asian Countries / Regions) Females Numeric | (Europe) Total Text | (Europe) Males Text | (Europe) Females Text | (USA and Canada) Total Numeric | (USA and Canada) Males Text | (USA and Canada) Females Numeric | (Australia and New Zealand) Total Text | (Australia and New Zealand) Males Text | (Australia and New Zealand) Females Text | (Others) Total Numeric | (Others) Males Text | (Others) 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)8.3% | (Null)16.7% | (Null)8.3% | (Null)8.3% | (Null)8.3% | (Null)16.7% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)8.3% | (Null)8.3% | (Null)8.3% | (Null)0.0% | (Null)8.3% | (Null)0.0% | (Null)8.3% | (Null)16.7% | (Null)8.3% | (Null)0.0% | (Null)8.3% | (Null)0.0% |
Total | 3459093 | 1663560 | 1795534 | 2600845 | 1302326 | 1298520 | 410664 | 174259 | 236404 | 165204 | 60851 | 104353 | 103286 | 53703 | 49583 | 54045 | 17503 | 36543 | 99540 | 38680 | 60860 | 14255 | 9661 | 4594 | 5335 | 3238 | 2097 | 3610 | 2114 | 1496 | 2309 | 1225 | 1084 |
No Religion | 692528 | 356071 | 336457 | 499331 | 268415 | 230916 | 61291 | 29484 | 31807 | 96481 | 39706 | 56775 | 1957 | 1234 | 724 | 4912 | 2276 | 2636 | 19354 | 8532 | 10822 | 5611 | 4142 | 1469 | 1782 | 1147 | 634 | 1333 | 834 | 499 | 476 | 301 | 175 |
With Religion | 2766566 | 1307489 | 1459077 | 2101514 | 1033910 | 1067603 | 349373 | 144776 | 204597 | 68723 | 21145 | 47578 | 101329 | 52470 | 48860 | 49134 | 15227 | 33907 | 80185 | 30148 | 50038 | 8644 | 5519 | 3125 | 3554 | 2091 | 1463 | 2277 | 1280 | 997 | 1834 | 925 | 909 |
Buddhism | 1074159 | 512493 | 561666 | 780356 | 399395 | 380961 | 205495 | 85887 | 119609 | 41289 | 12369 | 28920 | 67 | 67 | - | 16018 | 4798 | 11220 | 29840 | 9366 | 20474 | 466 | 273 | 193 | 245 | 127 | 119 | 290 | 164 | 126 | 92 | 47 | 45 |
Taoism1/ | 303960 | 149247 | 154713 | 247093 | 126881 | 120212 | 41347 | 17303 | 24044 | 10502 | 3807 | 6696 | - | - | - | 2846 | 658 | 2188 | 2012 | 552 | 1460 | - | - | - | 104 | 45 | 58 | 3 | - | 3 | 51 | - | 51 |
Islam | 539251 | 263134 | 276117 | 487281 | 241758 | 245523 | 21351 | 8164 | 13187 | 211 | 82 | 128 | 13712 | 7404 | 6308 | 9636 | 2148 | 7488 | 5789 | 2745 | 3043 | 722 | 444 | 277 | 138 | 117 | 21 | 182 | 106 | 76 | 230 | 165 | 65 |
Hinduism | 172963 | 86414 | 86548 | 83274 | 40635 | 42638 | 11022 | 5131 | 5891 | 7 | - | 7 | 75349 | 39155 | 36194 | 257 | 101 | 156 | 2139 | 1087 | 1051 | 273 | 88 | 185 | 318 | 116 | 202 | 61 | 26 | 35 | 263 | 75 | 189 |
Sikhism | 12051 | 6196 | 5855 | 8369 | 4713 | 3656 | 1148 | 438 | 711 | - | - | - | 2253 | 948 | 1304 | 86 | 24 | 62 | 46 | 9 | 37 | 104 | 60 | 44 | 36 | - | 36 | - | - | - | 9 | 4 | 5 |
Christianity | 654355 | 285382 | 368973 | 488402 | 217237 | 271165 | 67952 | 27503 | 40449 | 16480 | 4834 | 11646 | 9239 | 4492 | 4747 | 20125 | 7445 | 12681 | 39845 | 16212 | 23633 | 6879 | 4517 | 2361 | 2570 | 1566 | 1004 | 1691 | 951 | 739 | 1171 | 624 | 547 |
Catholic | 242681 | 106084 | 136597 | 171181 | 75904 | 95277 | 22815 | 9385 | 13430 | 3664 | 980 | 2684 | 5401 | 2592 | 2809 | 8894 | 3220 | 5673 | 24944 | 10525 | 14418 | 3414 | 2176 | 1237 | 1020 | 585 | 435 | 652 | 305 | 347 | 698 | 412 | 286 |
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 | - |
(Singapore) Total | Singapore_Total | Numeric | Number | - |
(Singapore) Males | Singapore_Males | Numeric | Number | - |
(Singapore) Females | Singapore_Females | Numeric | Number | - |
(Malaysia) Total | Malaysia_Total | Numeric | Number | - |
(Malaysia) Males | Malaysia_Males | Numeric | Number | - |
(Malaysia) Females | Malaysia_Females | Numeric | Number | - |
(Mainland China) Total | MainlandChina_Total | Text | Number | - |
(Mainland China) Males | MainlandChina_Males | Text | Number | - |
(Mainland China) Females | MainlandChina_Females | Text | Number | - |
(India) Total | India_Total | Text | Number | - |
(India) Males | India_Males | Text | Number | - |
(India) Females | India_Females | Text | Number | - |
(Indonesia) Total | Indonesia_Total | Numeric | Number | - |
(Indonesia) Males | Indonesia_Males | Numeric | Number | - |
(Indonesia) Females | Indonesia_Females | Numeric | Number | - |
(Other Asian Countries / Regions) Total | OtherAsianCountries_Regions_Total | Numeric | Number | - |
(Other Asian Countries / Regions) Males | OtherAsianCountries_Regions_Males | Numeric | Number | - |
(Other Asian Countries / Regions) Females | OtherAsianCountries_Regions_Females | Numeric | Number | - |
(Europe) Total | Europe_Total | Text | Number | - |
(Europe) Males | Europe_Males | Text | Number | - |
(Europe) Females | Europe_Females | Text | Number | - |
(USA and Canada) Total | USAandCanada_Total | Numeric | Number | - |
(USA and Canada) Males | USAandCanada_Males | Text | Number | - |
(USA and Canada) Females | USAandCanada_Females | Numeric | Number | - |
(Australia and New Zealand) Total | AustraliaandNewZealand_Total | Text | Number | - |
(Australia and New Zealand) Males | AustraliaandNewZealand_Males | Text | Number | - |
(Australia and New Zealand) Females | AustraliaandNewZealand_Females | Text | Number | - |
(Others) Total | Others_Total | Numeric | Number | - |
(Others) Males | Others_Males | Text | Number | - |
(Others) Females | Others_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_3ba797b9aab692919a223cae32029b41"
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.