Resident Population Aged 15 Years and Over by Highest Qualification Attained, Marital Status, Sex and Ethnic Group (General Household Survey 2015)

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Updated 5 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 pertain to residents who are not attending educational institutions as full-time students. The data include those who are upgrading their qualifications through part-time courses while working. 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/8202

Data explorer

ResidentPopulationAged15YearsandOverbyHighestQualificationAttainedMaritalStatusSexandEthnicGroupGeneralHouseholdSurvey2015.csv (9 rows, 6.3 KB)

Thousands 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 Numeric	[Total] (Widowed) Males Numeric	[Total] (Widowed) Females Numeric	[Total] (Divorced/Separated) Total Numeric	[Total] (Divorced/Separated) Males Numeric	[Total] (Divorced/Separated) Females Numeric	[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 Numeric	[Chinese] (Widowed) Males Numeric	[Chinese] (Widowed) Females Numeric	[Chinese] (Divorced/Separated) Total Numeric	[Chinese] (Divorced/Separated) Males Numeric	[Chinese] (Divorced/Separated) Females Numeric	[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 Numeric	[Malays] (Married) Females Numeric	[Malays] (Widowed) Total Numeric	[Malays] (Widowed) Males Numeric	[Malays] (Widowed) Females Numeric	[Malays] (Divorced/Separated) Total Numeric	[Malays] (Divorced/Separated) Males Numeric	[Malays] (Divorced/Separated) Females Numeric	[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 Numeric	[Indians] (Married) Males Numeric	[Indians] (Married) Females Numeric	[Indians] (Widowed) Total Numeric	[Indians] (Widowed) Males Numeric	[Indians] (Widowed) Females Numeric	[Indians] (Divorced/Separated) Total Numeric	[Indians] (Divorced/Separated) Males Numeric	[Indians] (Divorced/Separated) Females Numeric	[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 Numeric	[Others] (Married) Males Numeric	[Others] (Married) Females Numeric	[Others] (Widowed) Total Numeric	[Others] (Widowed) Males Numeric	[Others] (Widowed) Females Numeric	[Others] (Divorced/Separated) Total Numeric	[Others] (Divorced/Separated) Males Numeric	[Others] (Divorced/Separated) 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%	(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%	(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	2948.5	1426.6	1521.9	709.1	371	338.2	1943.7	984	959.7	172.1	28.9	143.2	123.5	42.7	80.8	2272.7	1093.2	1179.6	563.8	289.4	274.4	1481.1	749	732.1	134.7	22.3	112.4	93.1	32.5	60.7	341	165	176	86.5	49.3	37.1	214	105.6	108.4	22.4	4.4	17.9	18.2	5.6	12.5	244.6	124.4	120.2	44	24.2	19.9	177.8	94.9	82.8	13.6	2	11.6	9.1	3.2	5.9	90.2	44.1	46.1	14.8	8	6.8	70.9	34.4	36.4	1.4	0.2	1.2	3.1	1.4	1.7
No Qualification	368.1	132.3	235.8	34.5	20.3	14.1	211.9	94.5	117.4	102.6	11.8	90.8	19.2	5.7	13.4	306.7	113.9	192.9	29.6	17.8	11.9	178.8	82.2	96.5	83.6	9.3	74.3	14.7	4.5	10.1	42.2	13.3	28.9	3.1	1.7	1.4	23	8.8	14.1	12.8	1.9	10.9	3.4	0.9	2.5	16.7	4.8	11.9	1.5	0.8	0.7	8.2	3.2	5	5.9	0.5	5.4	1.1	0.3	0.7	2.4	0.3	2.1	0.2	0	0.1	1.9	0.2	1.7	0.2	0	0.2	0	0	0
Primary	203.4	95.1	108.3	22.8	13.7	9.1	147.9	72.3	75.7	20.2	4.3	15.8	12.6	4.9	7.7	156	74.3	81.8	18.9	11.5	7.4	113	55.9	57.1	14.9	3.3	11.6	9.3	3.6	5.7	31.5	14.8	16.7	2.6	1.5	1.1	23.2	11.4	11.8	3.3	0.8	2.4	2.4	1	1.4	14.2	5.8	8.3	1.2	0.6	0.7	10.2	4.8	5.4	1.9	0.2	1.6	0.9	0.3	0.6	1.7	0.2	1.5	0	0	0	1.5	0.2	1.3	0.1	0	0.1	0	0	0
Lower Secondary	236.5	122.2	114.3	28.2	16.8	11.4	179.9	96.2	83.7	15.1	3.7	11.4	13.3	5.6	7.8	179.5	93.8	85.7	22.5	13.2	9.3	136.4	73.4	63	10.8	2.7	8.1	9.8	4.5	5.4	35.8	18.6	17.2	3.8	2.3	1.5	27.3	14.9	12.4	2.3	0.6	1.7	2.4	0.8	1.6	17.7	8.8	8.9	1.5	1	0.5	13.6	7.1	6.5	1.7	0.4	1.3	1	0.3	0.7	3.5	1	2.4	0.3	0.2	0.1	2.7	0.8	1.9	0.3	0	0.3	0.1	0	0.1
Secondary	544.8	242	302.8	97.5	49.7	47.8	396.7	178.3	218.4	19.9	4.4	15.5	30.7	9.6	21.1	410.5	181.9	228.6	72.2	35.8	36.4	302.1	135.7	166.4	13.8	3.2	10.6	22.4	7.2	15.2	85.5	38	47.4	16.2	8.8	7.4	60.8	27.3	33.5	2.9	0.6	2.3	5.6	1.4	4.2	41.3	19.3	22	7.9	4.4	3.6	28.2	13.6	14.6	2.8	0.5	2.3	2.4	0.9	1.5	7.5	2.7	4.8	1.2	0.7	0.5	5.6	1.8	3.8	0.3	0.1	0.2	0.4	0.1	0.2
Post-Secondary (Non-Tertiary)	304	176.5	127.5	101.7	67.6	34.1	182.7	101.7	81	6	2.2	3.8	13.6	5	8.6	207.1	117.5	89.6	66.7	44.1	22.7	125.8	68	57.8	4.9	1.7	3.2	9.6	3.7	5.9	66.4	41.8	24.6	25.5	17.2	8.2	38.1	23.3	14.8	0.7	0.3	0.3	2.2	0.9	1.3	23.7	14.5	9.2	7.7	5.1	2.6	14.4	8.9	5.5	0.3	0.1	0.2	1.3	0.4	0.9	6.8	2.7	4	1.7	1.1	0.6	4.4	1.5	2.8	0.1	0	0.1	0.5	0	0.5
Polytechnic	268.1	164.8	103.3	127.8	79	48.8	133.5	82.7	50.8	0.8	0.3	0.6	5.9	2.8	3.1	207.6	128.1	79.5	96.3	60.4	35.8	106.2	65.3	40.9	0.6	0.2	0.4	4.5	2.2	2.4	35.6	20.8	14.8	19.9	11.8	8.2	14.6	8.6	6	0.1	0	0	1	0.4	0.6	20.7	13.2	7.5	9.6	5.5	4.1	10.7	7.6	3.1	0.1	0	0.1	0.3	0.1	0.2	4.3	2.7	1.6	1.9	1.3	0.6	2.2	1.3	0.9	0.1	0	0.1	0.1	0.1	0
Professional Qualification And Other Diploma	215.7	87.8	127.9	52.4	20.3	32.1	149.8	64.2	85.6	3.4	0.8	2.6	10.1	2.6	7.6	170.5	64.3	106.2	42.3	15.3	27	117.2	46.8	70.5	2.9	0.5	2.3	8.1	1.7	6.4	18.8	7.6	11.2	5.5	2.5	3	12.3	4.8	7.5	0.2	0.1	0.1	0.8	0.2	0.6	18.8	11.6	7.2	3.4	1.9	1.6	14.3	9.2	5.1	0.3	0.1	0.2	0.8	0.4	0.4	7.6	4.3	3.3	1.2	0.6	0.5	6	3.4	2.6	0	0	0	0.4	0.3	0.2
University	807.9	405.8	402.1	244.4	103.6	140.8	541.3	294.2	247.2	4.2	1.5	2.6	18	6.5	11.5	634.8	319.5	315.3	215.3	91.3	124	401.7	221.8	179.9	3.2	1.3	1.9	14.6	5.1	9.5	25.3	10.1	15.1	9.8	3.5	6.3	14.8	6.5	8.3	0.1	0	0.1	0.5	0.1	0.4	91.4	46.2	45.2	11	4.9	6.1	78.2	40.7	37.5	0.7	0.2	0.5	1.4	0.4	1	56.5	30	26.5	8.3	3.9	4.3	46.6	25.2	21.4	0.2	0.1	0.1	1.5	0.8	0.7

Column legend

Title	Column name	Data type	Unit of measure	Description
Thousands	Thousands	Text	Thousands	-
[Total] (Total) Total	Total_Total_Total	Numeric	Thousands	-
[Total] (Total) Males	Total_Total_Males	Numeric	Thousands	-
[Total] (Total) Females	Total_Total_Females	Numeric	Thousands	-
[Total] (Single) Total	Total_Single_Total	Numeric	Thousands	-
[Total] (Single) Males	Total_Single_Males	Numeric	Thousands	-
[Total] (Single) Females	Total_Single_Females	Numeric	Thousands	-
[Total] (Married) Total	Total_Married_Total	Numeric	Thousands	-
[Total] (Married) Males	Total_Married_Males	Numeric	Thousands	-
[Total] (Married) Females	Total_Married_Females	Numeric	Thousands	-
[Total] (Widowed) Total	Total_Widowed_Total	Numeric	Thousands	-
[Total] (Widowed) Males	Total_Widowed_Males	Numeric	Thousands	-
[Total] (Widowed) Females	Total_Widowed_Females	Numeric	Thousands	-
[Total] (Divorced/Separated) Total	Total_Divorced_Separated_Total	Numeric	Thousands	-
[Total] (Divorced/Separated) Males	Total_Divorced_Separated_Males	Numeric	Thousands	-
[Total] (Divorced/Separated) Females	Total_Divorced_Separated_Females	Numeric	Thousands	-
[Chinese] (Total) Total	Chinese_Total_Total	Numeric	Thousands	-
[Chinese] (Total) Males	Chinese_Total_Males	Numeric	Thousands	-
[Chinese] (Total) Females	Chinese_Total_Females	Numeric	Thousands	-
[Chinese] (Single) Total	Chinese_Single_Total	Numeric	Thousands	-
[Chinese] (Single) Males	Chinese_Single_Males	Numeric	Thousands	-
[Chinese] (Single) Females	Chinese_Single_Females	Numeric	Thousands	-
[Chinese] (Married) Total	Chinese_Married_Total	Numeric	Thousands	-
[Chinese] (Married) Males	Chinese_Married_Males	Numeric	Thousands	-
[Chinese] (Married) Females	Chinese_Married_Females	Numeric	Thousands	-
[Chinese] (Widowed) Total	Chinese_Widowed_Total	Numeric	Thousands	-
[Chinese] (Widowed) Males	Chinese_Widowed_Males	Numeric	Thousands	-
[Chinese] (Widowed) Females	Chinese_Widowed_Females	Numeric	Thousands	-
[Chinese] (Divorced/Separated) Total	Chinese_Divorced_Separated_Total	Numeric	Thousands	-
[Chinese] (Divorced/Separated) Males	Chinese_Divorced_Separated_Males	Numeric	Thousands	-
[Chinese] (Divorced/Separated) Females	Chinese_Divorced_Separated_Females	Numeric	Thousands	-
[Malays] (Total) Total	Malays_Total_Total	Numeric	Thousands	-
[Malays] (Total) Males	Malays_Total_Males	Numeric	Thousands	-
[Malays] (Total) Females	Malays_Total_Females	Numeric	Thousands	-
[Malays] (Single) Total	Malays_Single_Total	Numeric	Thousands	-
[Malays] (Single) Males	Malays_Single_Males	Numeric	Thousands	-
[Malays] (Single) Females	Malays_Single_Females	Numeric	Thousands	-
[Malays] (Married) Total	Malays_Married_Total	Numeric	Thousands	-
[Malays] (Married) Males	Malays_Married_Males	Numeric	Thousands	-
[Malays] (Married) Females	Malays_Married_Females	Numeric	Thousands	-
[Malays] (Widowed) Total	Malays_Widowed_Total	Numeric	Thousands	-
[Malays] (Widowed) Males	Malays_Widowed_Males	Numeric	Thousands	-
[Malays] (Widowed) Females	Malays_Widowed_Females	Numeric	Thousands	-
[Malays] (Divorced/Separated) Total	Malays_Divorced_Separated_Total	Numeric	Thousands	-
[Malays] (Divorced/Separated) Males	Malays_Divorced_Separated_Males	Numeric	Thousands	-
[Malays] (Divorced/Separated) Females	Malays_Divorced_Separated_Females	Numeric	Thousands	-
[Indians] (Total) Total	Indians_Total_Total	Numeric	Thousands	-
[Indians] (Total) Males	Indians_Total_Males	Numeric	Thousands	-
[Indians] (Total) Females	Indians_Total_Females	Numeric	Thousands	-
[Indians] (Single) Total	Indians_Single_Total	Numeric	Thousands	-
[Indians] (Single) Males	Indians_Single_Males	Numeric	Thousands	-
[Indians] (Single) Females	Indians_Single_Females	Numeric	Thousands	-
[Indians] (Married) Total	Indians_Married_Total	Numeric	Thousands	-
[Indians] (Married) Males	Indians_Married_Males	Numeric	Thousands	-
[Indians] (Married) Females	Indians_Married_Females	Numeric	Thousands	-
[Indians] (Widowed) Total	Indians_Widowed_Total	Numeric	Thousands	-
[Indians] (Widowed) Males	Indians_Widowed_Males	Numeric	Thousands	-
[Indians] (Widowed) Females	Indians_Widowed_Females	Numeric	Thousands	-
[Indians] (Divorced/Separated) Total	Indians_Divorced_Separated_Total	Numeric	Thousands	-
[Indians] (Divorced/Separated) Males	Indians_Divorced_Separated_Males	Numeric	Thousands	-
[Indians] (Divorced/Separated) Females	Indians_Divorced_Separated_Females	Numeric	Thousands	-
[Others] (Total) Total	Others_Total_Total	Numeric	Thousands	-
[Others] (Total) Males	Others_Total_Males	Numeric	Thousands	-
[Others] (Total) Females	Others_Total_Females	Numeric	Thousands	-
[Others] (Single) Total	Others_Single_Total	Numeric	Thousands	-
[Others] (Single) Males	Others_Single_Males	Numeric	Thousands	-
[Others] (Single) Females	Others_Single_Females	Numeric	Thousands	-
[Others] (Married) Total	Others_Married_Total	Numeric	Thousands	-
[Others] (Married) Males	Others_Married_Males	Numeric	Thousands	-
[Others] (Married) Females	Others_Married_Females	Numeric	Thousands	-
[Others] (Widowed) Total	Others_Widowed_Total	Numeric	Thousands	-
[Others] (Widowed) Males	Others_Widowed_Males	Numeric	Thousands	-
[Others] (Widowed) Females	Others_Widowed_Females	Numeric	Thousands	-
[Others] (Divorced/Separated) Total	Others_Divorced_Separated_Total	Numeric	Thousands	-
[Others] (Divorced/Separated) Males	Others_Divorced_Separated_Males	Numeric	Thousands	-
[Others] (Divorced/Separated) Females	Others_Divorced_Separated_Females	Numeric	Thousands	-

Sample OpenAPI query

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_4c689993c2f4b165f420d29cbb0c8b51"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Resident Population Aged 15 Years and Over by Highest Qualification Attained, Marital Status, Sex and Ethnic Group (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved January 15, 2025 from https://data.gov.sg/datasets/d_4c689993c2f4b165f420d29cbb0c8b51/view

Data explorer

ResidentPopulationAged15YearsandOverbyHighestQualificationAttainedMaritalStatusSexandEthnicGroupGeneralHouseholdSurvey2015.csv (9 rows, 6.3 KB)

Column legend

Analyse this dataset with Colab Notebook

Sample OpenAPI query

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