Resident Population Aged 15 Years and Over by Age Group, Marital Status, Sex and Highest Qualification Attained (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.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8192

Data explorer

ResidentPopulationAged15YearsandOverbyAgeGroupMaritalStatusSexandHighestQualificationAttainedGeneralHouseholdSurvey2015.csv (14 rows, 10.8 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	[Below Secondary] (Total) Total Numeric	[Below Secondary] (Total) Males Numeric	[Below Secondary] (Total) Females Numeric	[Below Secondary] (Single) Total Numeric	[Below Secondary] (Single) Males Numeric	[Below Secondary] (Single) Females Numeric	[Below Secondary] (Married) Total Numeric	[Below Secondary] (Married) Males Numeric	[Below Secondary] (Married) Females Numeric	[Below Secondary] (Widowed) Total Numeric	[Below Secondary] (Widowed) Males Numeric	[Below Secondary] (Widowed) Females Numeric	[Below Secondary] (Divorced/Separated) Total Numeric	[Below Secondary] (Divorced/Separated) Males Numeric	[Below Secondary] (Divorced/Separated) Females Numeric	[Secondary] (Total) Total Numeric	[Secondary] (Total) Males Numeric	[Secondary] (Total) Females Numeric	[Secondary] (Single) Total Numeric	[Secondary] (Single) Males Numeric	[Secondary] (Single) Females Numeric	[Secondary] (Married) Total Numeric	[Secondary] (Married) Males Numeric	[Secondary] (Married) Females Numeric	[Secondary] (Widowed) Total Numeric	[Secondary] (Widowed) Males Numeric	[Secondary] (Widowed) Females Numeric	[Secondary] (Divorced/Separated) Total Numeric	[Secondary] (Divorced/Separated) Males Numeric	[Secondary] (Divorced/Separated) Females Numeric	[Post-Secondary (Non-Tertiary)] (Total) Total Numeric	[Post-Secondary (Non-Tertiary)] (Total) Males Numeric	[Post-Secondary (Non-Tertiary)] (Total) Females Numeric	[Post-Secondary (Non-Tertiary)] (Single) Total Numeric	[Post-Secondary (Non-Tertiary)] (Single) Males Numeric	[Post-Secondary (Non-Tertiary)] (Single) Females Numeric	[Post-Secondary (Non-Tertiary)] (Married) Total Numeric	[Post-Secondary (Non-Tertiary)] (Married) Males Numeric	[Post-Secondary (Non-Tertiary)] (Married) Females Numeric	[Post-Secondary (Non-Tertiary)] (Widowed) Total Numeric	[Post-Secondary (Non-Tertiary)] (Widowed) Males Numeric	[Post-Secondary (Non-Tertiary)] (Widowed) Females Numeric	[Post-Secondary (Non-Tertiary)] (Divorced/Separated) Total Numeric	[Post-Secondary (Non-Tertiary)] (Divorced/Separated) Males Numeric	[Post-Secondary (Non-Tertiary)] (Divorced/Separated) Females Numeric	[Diploma1/ & Professional Qualification] (Total) Total Numeric	[Diploma1/ & Professional Qualification] (Total) Males Numeric	[Diploma1/ & Professional Qualification] (Total) Females Numeric	[Diploma1/ & Professional Qualification] (Single) Total Numeric	[Diploma1/ & Professional Qualification] (Single) Males Numeric	[Diploma1/ & Professional Qualification] (Single) Females Numeric	[Diploma1/ & Professional Qualification] (Married) Total Numeric	[Diploma1/ & Professional Qualification] (Married) Males Numeric	[Diploma1/ & Professional Qualification] (Married) Females Numeric	[Diploma1/ & Professional Qualification] (Widowed) Total Numeric	[Diploma1/ & Professional Qualification] (Widowed) Males Numeric	[Diploma1/ & Professional Qualification] (Widowed) Females Numeric	[Diploma1/ & Professional Qualification] (Divorced/Separated) Total Numeric	[Diploma1/ & Professional Qualification] (Divorced/Separated) Males Numeric	[Diploma1/ & Professional Qualification] (Divorced/Separated) Females Numeric	[University] (Total) Total Numeric	[University] (Total) Males Numeric	[University] (Total) Females Numeric	[University] (Single) Total Numeric	[University] (Single) Males Numeric	[University] (Single) Females Numeric	[University] (Married) Total Numeric	[University] (Married) Males Numeric	[University] (Married) Females Numeric	[University] (Widowed) Total Numeric	[University] (Widowed) Males Numeric	[University] (Widowed) Females Numeric	[University] (Divorced/Separated) Total Numeric	[University] (Divorced/Separated) Males Numeric	[University] (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%	(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	808	349.7	458.3	85.4	50.8	34.6	539.7	263	276.8	137.8	19.8	118	45.1	16.2	28.9	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	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	483.8	252.6	231.3	180.2	99.3	80.9	283.3	146.8	136.5	4.2	1	3.2	16.1	5.4	10.7	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
15 - 19	34.3	22.9	11.4	34.1	22.9	11.2	0.2	0	0.2	0	0	0	0	0	0	2.6	1.4	1.2	2.6	1.4	1.2	0	0	0	0	0	0	0	0	0	7.5	4.2	3.3	7.3	4.2	3.1	0.2	0	0.2	0	0	0	0	0	0	18.3	13.6	4.7	18.3	13.6	4.7	0	0	0	0	0	0	0	0	0	5.9	3.7	2.2	5.9	3.7	2.2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20 - 24	163.3	87.7	75.7	156.4	86.1	70.3	6.4	1.4	5	0	0	0	0.5	0.1	0.3	5.4	3.2	2.2	4.4	3	1.4	1	0.2	0.8	0	0	0	0	0	0	18.1	10.5	7.7	16	10	6	2	0.3	1.6	0	0	0	0.2	0.1	0.1	35.2	25.6	9.6	34	25.3	8.6	1.1	0.2	0.8	0	0	0	0.2	0	0.1	72.5	43.6	28.9	70.9	43	27.9	1.6	0.7	1	0	0	0	0	0	0	32.1	4.8	27.3	31.3	4.8	26.4	0.8	0	0.8	0	0	0	0.1	0	0.1
25 - 29	232.8	111.1	121.7	163.5	87.6	75.9	66.7	22.9	43.8	0	0	0	2.5	0.7	1.9	9.4	4.4	4.9	4.3	2.8	1.5	4.6	1.5	3.1	0	0	0	0.5	0.1	0.3	19.6	9	10.6	10.4	6.4	4	8.4	2.4	6.1	0	0	0	0.8	0.3	0.5	25.2	16.2	9	16.2	11.4	4.8	8.5	4.7	3.8	0	0	0	0.5	0.1	0.4	59.7	29.7	30	42.5	23.7	18.7	16.6	5.9	10.7	0	0	0	0.6	0.1	0.5	118.9	51.8	67.2	90.1	43.3	46.9	28.6	8.5	20.1	0	0	0	0.2	0	0.2
30 - 34	269.9	126.8	143.1	83.7	47.4	36.3	180	77.5	102.5	0.5	0.1	0.4	5.7	1.8	3.9	13.4	5.7	7.7	3.7	2.6	1.1	8.9	2.8	6.1	0.1	0	0.1	0.7	0.3	0.4	28.1	11.7	16.5	8.1	5.4	2.7	18.7	5.8	12.9	0	0	0	1.3	0.4	0.9	22	12.2	9.8	6.4	4.2	2.1	14.9	7.8	7.1	0.1	0	0.1	0.6	0.2	0.5	62.3	29.9	32.4	20.3	11.8	8.4	40.6	17.8	22.8	0.2	0	0.2	1.2	0.2	1	144.1	67.3	76.8	45.3	23.3	22	96.9	43.3	53.6	0	0	0	1.8	0.7	1.2
35 - 39	300.2	140.5	159.7	56	28.9	27.1	232.3	107.8	124.6	0.4	0	0.4	11.4	3.8	7.6	20	8	12	3.4	2.1	1.3	15.1	5.5	9.7	0.1	0	0.1	1.4	0.4	0.9	38.9	16	22.9	6.2	3.7	2.5	30	11.3	18.6	0.2	0	0.2	2.5	0.9	1.7	26	14.2	11.7	5.2	3.5	1.7	19.2	10	9.2	0	0	0	1.6	0.8	0.8	66.5	31.2	35.3	13.3	6.8	6.5	49.7	23.2	26.5	0.1	0	0.1	3.4	1.1	2.3	148.9	71.1	77.7	28	12.7	15.2	118.4	57.7	60.6	0.1	0	0.1	2.5	0.7	1.8
40 - 44	315.3	151.3	164.1	48.4	23.3	25.1	248.8	121.7	127.1	1.6	0.2	1.4	16.6	6.1	10.5	35.8	15.2	20.6	6	3.7	2.3	26.5	10.3	16.1	0.3	0	0.3	3	1.1	1.9	54.6	22.7	31.9	8.1	4.5	3.6	43.1	17.3	25.7	0.5	0	0.5	2.9	0.8	2.1	32.4	16.1	16.3	4.9	2.6	2.3	24.6	12.3	12.3	0.1	0	0.1	2.8	1.2	1.6	62.5	28	34.5	9.2	3.8	5.4	50	23.3	26.6	0.3	0	0.3	3.1	0.9	2.2	130.1	69.4	60.8	20.2	8.8	11.4	104.7	58.4	46.3	0.4	0.1	0.3	4.8	2	2.8
45 - 49	301.5	146.5	154.9	41.5	18.9	22.5	240	121.8	118.2	3.1	0.5	2.6	16.9	5.3	11.6	59.4	26.9	32.5	8.8	5.8	3	44.6	19.3	25.3	1.8	0.2	1.5	4.3	1.6	2.6	68	27.6	40.3	8	3.7	4.4	55	22.7	32.3	0.6	0.1	0.5	4.4	1.2	3.2	34.1	16.2	17.9	5.3	2.3	2.9	26.8	13.4	13.4	0.3	0	0.3	1.7	0.4	1.3	50.7	25.6	25.1	6.6	2.6	4	40.7	21.9	18.8	0.2	0	0.2	3.2	1.1	2	89.4	50.2	39.1	12.8	4.6	8.2	72.9	44.5	28.4	0.2	0.1	0.1	3.4	1	2.4
50 - 54	319.4	159.3	160.1	38.2	18.8	19.4	255.4	131.8	123.6	6.2	1.6	4.6	19.6	7.1	12.5	99.7	47.6	52.1	12.1	7.7	4.4	77.2	36.3	40.8	2.8	0.6	2.2	7.6	3	4.6	85.5	35.5	50	9.6	4	5.6	68.2	29.3	38.9	1.9	0.5	1.4	5.8	1.7	4.1	33.9	17.9	16	3.9	1.9	2.1	28	15.1	12.9	0.6	0.2	0.4	1.4	0.7	0.7	39	20.5	18.4	5	2	3	31.6	17.8	13.8	0.4	0.2	0.3	1.9	0.6	1.4	61.3	37.8	23.6	7.6	3.2	4.3	50.5	33.2	17.2	0.6	0.2	0.4	2.7	1.1	1.6
55 - 59	296.7	148.8	147.9	35	16.1	18.9	233	124.6	108.4	11.4	1.8	9.6	17.3	6.3	11	118.9	57.8	61.1	13.9	8.9	5	90.8	45.2	45.7	6.5	1	5.5	7.6	2.7	4.9	83.5	36	47.5	9.5	3.4	6.1	65.9	30.4	35.5	2.9	0.4	2.5	5.2	1.7	3.4	29.8	16.1	13.7	3.5	1.3	2.3	23.7	14.1	9.6	0.7	0.1	0.6	1.9	0.6	1.2	27.8	16.1	11.7	3.3	0.9	2.4	22.6	14.5	8.1	0.6	0	0.5	1.3	0.6	0.7	36.6	22.8	13.9	4.7	1.6	3.1	30	20.4	9.6	0.6	0.2	0.4	1.4	0.6	0.8

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	-
[Below Secondary] (Total) Total	BelowSecondary_Total_Total	Numeric	Thousands	-
[Below Secondary] (Total) Males	BelowSecondary_Total_Males	Numeric	Thousands	-
[Below Secondary] (Total) Females	BelowSecondary_Total_Females	Numeric	Thousands	-
[Below Secondary] (Single) Total	BelowSecondary_Single_Total	Numeric	Thousands	-
[Below Secondary] (Single) Males	BelowSecondary_Single_Males	Numeric	Thousands	-
[Below Secondary] (Single) Females	BelowSecondary_Single_Females	Numeric	Thousands	-
[Below Secondary] (Married) Total	BelowSecondary_Married_Total	Numeric	Thousands	-
[Below Secondary] (Married) Males	BelowSecondary_Married_Males	Numeric	Thousands	-
[Below Secondary] (Married) Females	BelowSecondary_Married_Females	Numeric	Thousands	-
[Below Secondary] (Widowed) Total	BelowSecondary_Widowed_Total	Numeric	Thousands	-
[Below Secondary] (Widowed) Males	BelowSecondary_Widowed_Males	Numeric	Thousands	-
[Below Secondary] (Widowed) Females	BelowSecondary_Widowed_Females	Numeric	Thousands	-
[Below Secondary] (Divorced/Separated) Total	BelowSecondary_Divorced_Separated_Total	Numeric	Thousands	-
[Below Secondary] (Divorced/Separated) Males	BelowSecondary_Divorced_Separated_Males	Numeric	Thousands	-
[Below Secondary] (Divorced/Separated) Females	BelowSecondary_Divorced_Separated_Females	Numeric	Thousands	-
[Secondary] (Total) Total	Secondary_Total_Total	Numeric	Thousands	-
[Secondary] (Total) Males	Secondary_Total_Males	Numeric	Thousands	-
[Secondary] (Total) Females	Secondary_Total_Females	Numeric	Thousands	-
[Secondary] (Single) Total	Secondary_Single_Total	Numeric	Thousands	-
[Secondary] (Single) Males	Secondary_Single_Males	Numeric	Thousands	-
[Secondary] (Single) Females	Secondary_Single_Females	Numeric	Thousands	-
[Secondary] (Married) Total	Secondary_Married_Total	Numeric	Thousands	-
[Secondary] (Married) Males	Secondary_Married_Males	Numeric	Thousands	-
[Secondary] (Married) Females	Secondary_Married_Females	Numeric	Thousands	-
[Secondary] (Widowed) Total	Secondary_Widowed_Total	Numeric	Thousands	-
[Secondary] (Widowed) Males	Secondary_Widowed_Males	Numeric	Thousands	-
[Secondary] (Widowed) Females	Secondary_Widowed_Females	Numeric	Thousands	-
[Secondary] (Divorced/Separated) Total	Secondary_Divorced_Separated_Total	Numeric	Thousands	-
[Secondary] (Divorced/Separated) Males	Secondary_Divorced_Separated_Males	Numeric	Thousands	-
[Secondary] (Divorced/Separated) Females	Secondary_Divorced_Separated_Females	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Total) Total	Post_Secondary_Non_Tertiary_Total_Total	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Total) Males	Post_Secondary_Non_Tertiary_Total_Males	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Total) Females	Post_Secondary_Non_Tertiary_Total_Females	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Single) Total	Post_Secondary_Non_Tertiary_Single_Total	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Single) Males	Post_Secondary_Non_Tertiary_Single_Males	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Single) Females	Post_Secondary_Non_Tertiary_Single_Females	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Married) Total	Post_Secondary_Non_Tertiary_Married_Total	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Married) Males	Post_Secondary_Non_Tertiary_Married_Males	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Married) Females	Post_Secondary_Non_Tertiary_Married_Females	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Widowed) Total	Post_Secondary_Non_Tertiary_Widowed_Total	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Widowed) Males	Post_Secondary_Non_Tertiary_Widowed_Males	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Widowed) Females	Post_Secondary_Non_Tertiary_Widowed_Females	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Divorced/Separated) Total	Post_Secondary_Non_Tertiary_Divorced_Separated_Total	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Divorced/Separated) Males	Post_Secondary_Non_Tertiary_Divorced_Separated_Males	Numeric	Thousands	-
[Post-Secondary (Non-Tertiary)] (Divorced/Separated) Females	Post_Secondary_Non_Tertiary_Divorced_Separated_Females	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Total) Total	Diploma1_andProfessionalQualification_Total_Total	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Total) Males	Diploma1_andProfessionalQualification_Total_Males	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Total) Females	Diploma1_andProfessionalQualification_Total_Females	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Single) Total	Diploma1_andProfessionalQualification_Single_Total	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Single) Males	Diploma1_andProfessionalQualification_Single_Males	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Single) Females	Diploma1_andProfessionalQualification_Single_Females	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Married) Total	Diploma1_andProfessionalQualification_Married_Total	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Married) Males	Diploma1_andProfessionalQualification_Married_Males	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Married) Females	Diploma1_andProfessionalQualification_Married_Females	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Widowed) Total	Diploma1_andProfessionalQualification_Widowed_Total	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Widowed) Males	Diploma1_andProfessionalQualification_Widowed_Males	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Widowed) Females	Diploma1_andProfessionalQualification_Widowed_Females	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Divorced/Separated) Total	Diploma1_andProfessionalQualification_Divorced_Separated_Total	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Divorced/Separated) Males	Diploma1_andProfessionalQualification_Divorced_Separated_Males	Numeric	Thousands	-
[Diploma1/ & Professional Qualification] (Divorced/Separated) Females	Diploma1_andProfessionalQualification_Divorced_Separated_Females	Numeric	Thousands	-
[University] (Total) Total	University_Total_Total	Numeric	Thousands	-
[University] (Total) Males	University_Total_Males	Numeric	Thousands	-
[University] (Total) Females	University_Total_Females	Numeric	Thousands	-
[University] (Single) Total	University_Single_Total	Numeric	Thousands	-
[University] (Single) Males	University_Single_Males	Numeric	Thousands	-
[University] (Single) Females	University_Single_Females	Numeric	Thousands	-
[University] (Married) Total	University_Married_Total	Numeric	Thousands	-
[University] (Married) Males	University_Married_Males	Numeric	Thousands	-
[University] (Married) Females	University_Married_Females	Numeric	Thousands	-
[University] (Widowed) Total	University_Widowed_Total	Numeric	Thousands	-
[University] (Widowed) Males	University_Widowed_Males	Numeric	Thousands	-
[University] (Widowed) Females	University_Widowed_Females	Numeric	Thousands	-
[University] (Divorced/Separated) Total	University_Divorced_Separated_Total	Numeric	Thousands	-
[University] (Divorced/Separated) Males	University_Divorced_Separated_Males	Numeric	Thousands	-
[University] (Divorced/Separated) Females	University_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_87d2c457c7b93cfa84372b483f75553b"
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 Age Group, Marital Status, Sex and Highest Qualification Attained (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved January 15, 2025 from https://data.gov.sg/datasets/d_87d2c457c7b93cfa84372b483f75553b/view

Data explorer

ResidentPopulationAged15YearsandOverbyAgeGroupMaritalStatusSexandHighestQualificationAttainedGeneralHouseholdSurvey2015.csv (14 rows, 10.8 KB)

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Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

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