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Updated 15 days ago
SINGSTAT (Singapore Department of Statistics)Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 09/03/2016
Update Frequency: 10 years
Survey period: General Household Survey 2015
Footnotes: Note: Data exclude persons who were unable to speak, and those in one-person households and households comprising only unrelated persons. For more information, please refer to the publication on 'General Household Survey 2015' (www.singstat.gov.sg/find-data/search-by-theme/population/education-language-spoken-and-literacy/publications-and-methodology).
Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8218
Thousands Text | (Total) Total Numeric | (Total) Males Numeric | (Total) Females Numeric | (Pre-Primary) Total Numeric | (Pre-Primary) Males Numeric | (Pre-Primary) Females Numeric | (Primary) Total Numeric | (Primary) Males Numeric | (Primary) Females Numeric | (Secondary) Total Numeric | (Secondary) Males Numeric | (Secondary) Females Numeric | (Post-Secondary (Non-Tertiary)) Total Numeric | (Post-Secondary (Non-Tertiary)) Males Numeric | (Post-Secondary (Non-Tertiary)) Females Numeric | (Polytechnic) Total Numeric | (Polytechnic) Males Numeric | (Polytechnic) Females Numeric | (Professional Qualification And Other Diploma) Total Numeric | (Professional Qualification And Other Diploma) Males Numeric | (Professional Qualification And Other Diploma) Females Numeric | (University) Total Numeric | (University) Males Numeric | (University) 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% |
Total | 763.5 | 388.5 | 375 | 57.1 | 29.8 | 27.3 | 261.9 | 136.6 | 125.3 | 205.5 | 105.6 | 99.9 | 58.7 | 30.4 | 28.3 | 79.6 | 41.6 | 38 | 10.3 | 4.7 | 5.6 | 90.3 | 39.9 | 50.5 |
English | 414.6 | 210.5 | 204.1 | 34.4 | 18 | 16.4 | 152.4 | 79.7 | 72.8 | 106.5 | 53.9 | 52.6 | 29.8 | 14.7 | 15.2 | 37.4 | 19.7 | 17.7 | 4.4 | 2.1 | 2.3 | 49.6 | 22.5 | 27.2 |
Mandarin | 219.4 | 112.2 | 107.2 | 13.5 | 7 | 6.5 | 63.9 | 33.9 | 30 | 59.9 | 31.8 | 28.1 | 16.4 | 8.8 | 7.6 | 28.9 | 14.9 | 14 | 3.4 | 1.6 | 1.8 | 33.5 | 14.2 | 19.3 |
Chinese Dialects | 7.1 | 3.7 | 3.4 | 0.2 | 0.1 | 0 | 1.8 | 1 | 0.8 | 1.8 | 1 | 0.8 | 0.4 | 0.3 | 0.1 | 1.3 | 0.4 | 0.9 | 0.2 | 0.1 | 0.1 | 1.5 | 0.7 | 0.8 |
Malay | 83.8 | 43 | 40.8 | 6.1 | 3.3 | 2.8 | 26.3 | 13.2 | 13.1 | 27 | 13.9 | 13.2 | 9.3 | 5.1 | 4.2 | 9.4 | 5 | 4.4 | 1.8 | 0.7 | 1.1 | 3.9 | 1.9 | 2 |
Indian Languages | 31.7 | 15.9 | 15.8 | 2.3 | 1.2 | 1.2 | 15.1 | 7.8 | 7.3 | 8.3 | 3.9 | 4.4 | 2.3 | 1.3 | 1 | 1.9 | 1 | 0.8 | 0.3 | 0.1 | 0.2 | 1.4 | 0.5 | 0.9 |
Tamil | 25.8 | 12.7 | 13.1 | 1.9 | 0.9 | 1.1 | 12.1 | 6.2 | 6 | 7 | 3.1 | 3.8 | 1.9 | 1.1 | 0.8 | 1.6 | 0.9 | 0.7 | 0.3 | 0.1 | 0.2 | 0.9 | 0.4 | 0.5 |
Other Indian Languages | 5.9 | 3.1 | 2.7 | 0.4 | 0.3 | 0.1 | 3 | 1.6 | 1.3 | 1.4 | 0.8 | 0.5 | 0.4 | 0.2 | 0.2 | 0.3 | 0.1 | 0.2 | 0 | 0 | 0 | 0.5 | 0.1 | 0.4 |
Others | 6.9 | 3.2 | 3.7 | 0.6 | 0.2 | 0.4 | 2.5 | 1 | 1.4 | 2 | 1.1 | 0.9 | 0.5 | 0.3 | 0.2 | 0.7 | 0.5 | 0.2 | 0.2 | 0.1 | 0.1 | 0.5 | 0.1 | 0.4 |
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Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Thousands | Thousands | Text | Thousands | - |
(Total) Total | Total_Total | Numeric | Thousands | - |
(Total) Males | Total_Males | Numeric | Thousands | - |
(Total) Females | Total_Females | Numeric | Thousands | - |
(Pre-Primary) Total | Pre_Primary_Total | Numeric | Thousands | - |
(Pre-Primary) Males | Pre_Primary_Males | Numeric | Thousands | - |
(Pre-Primary) Females | Pre_Primary_Females | Numeric | Thousands | - |
(Primary) Total | Primary_Total | Numeric | Thousands | - |
(Primary) Males | Primary_Males | Numeric | Thousands | - |
(Primary) Females | Primary_Females | Numeric | Thousands | - |
(Secondary) Total | Secondary_Total | Numeric | Thousands | - |
(Secondary) Males | Secondary_Males | Numeric | Thousands | - |
(Secondary) Females | Secondary_Females | Numeric | Thousands | - |
(Post-Secondary (Non-Tertiary)) Total | Post_Secondary_Non_Tertiary_Total | Numeric | Thousands | - |
(Post-Secondary (Non-Tertiary)) Males | Post_Secondary_Non_Tertiary_Males | Numeric | Thousands | - |
(Post-Secondary (Non-Tertiary)) Females | Post_Secondary_Non_Tertiary_Females | Numeric | Thousands | - |
(Polytechnic) Total | Polytechnic_Total | Numeric | Thousands | - |
(Polytechnic) Males | Polytechnic_Males | Numeric | Thousands | - |
(Polytechnic) Females | Polytechnic_Females | Numeric | Thousands | - |
(Professional Qualification And Other Diploma) Total | ProfessionalQualificationAndOtherDiploma_Total | Numeric | Thousands | - |
(Professional Qualification And Other Diploma) Males | ProfessionalQualificationAndOtherDiploma_Males | Numeric | Thousands | - |
(Professional Qualification And Other Diploma) Females | ProfessionalQualificationAndOtherDiploma_Females | Numeric | Thousands | - |
(University) Total | University_Total | Numeric | Thousands | - |
(University) Males | University_Males | Numeric | Thousands | - |
(University) Females | University_Females | Numeric | Thousands | - |
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_52db31c9a5d1240149ed9b40f0b1ce31"
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 Nov 2023
Free forever for personal or commercial use, under the Open Data Licence.