Resident Ever-Married Females Aged 15 Years and Over by Highest Qualification Attained, Number of Children Born and Ethnic Group (Census of Population 2020)

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Data explorer

ResidentEverMarriedFemalesAged15YearsandOverbyHighestQualificationAttainedNumberofChildrenBornandEthnicGroupCensusofPopulation2020.csv (9 rows, 3.6 KB)

Number Text	(Total) Total Numeric	[Total] (Number of Children Born) None Numeric	[Total] (Number of Children Born) 1 Child Numeric	[Total] (Number of Children Born) 2 Children Numeric	[Total] (Number of Children Born) 3 Children Numeric	[Total] (Number of Children Born) 4 Children Numeric	[Total] (Number of Children Born) 5 or More Children Numeric	(Chinese) Total Numeric	[Chinese] (Number of Children Born) None Numeric	[Chinese] (Number of Children Born) 1 Child Numeric	[Chinese] (Number of Children Born) 2 Children Numeric	[Chinese] (Number of Children Born) 3 Children Numeric	[Chinese] (Number of Children Born) 4 Children Numeric	[Chinese] (Number of Children Born) 5 Children Numeric	(Malays) Total Numeric	[Malays] (Number of Children Born) None Numeric	[Malays] (Number of Children Born) 1 Child Numeric	[Malays] (Number of Children Born) 2 Children Numeric	[Malays] (Number of Children Born) 3 Children Numeric	[Malays] (Number of Children Born) 4 Children Numeric	[Malays] (Number of Children Born) 5 Children Numeric	(Indians) Total Numeric	[Indians] (Number of Children Born) None Numeric	[Indians] (Number of Children Born) 1 Child Numeric	[Indians] (Number of Children Born) 2 Children Numeric	[Indians] (Number of Children Born) 3 Children Numeric	[Indians] (Number of Children Born) 4 Children Numeric	[Indians] (Number of Children Born) 5 Children Numeric	(Others) Total Numeric	[Others] (Number of Children Born) None Numeric	[Others] (Number of Children Born) 1 Child Numeric	[Others] (Number of Children Born) 2 Children Numeric	[Others] (Number of Children Born) 3 Children Numeric	[Others] (Number of Children Born) 4 Children Numeric	[Others] (Number of Children Born) 5 Children 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%
Total	1255805	163330	255420	462096	238484	78928	57547	938478	125531	196660	357543	174111	48000	36633	165688	20029	24744	41190	39970	23467	16288	107348	11913	21404	46518	18193	5574	3746	44292	5858	12612	16845	6210	1887	880
No Qualification	199842	7783	20917	50228	52417	29229	39269	160035	6011	16631	42548	42733	22136	29976	25701	1127	1818	4043	6505	5213	6995	10581	465	1059	2509	2712	1699	2137	3525	180	1409	1128	467	180	160
Primary	86649	5175	11829	30838	24711	9193	4903	63680	3733	9039	25050	18102	5381	2374	14299	902	1263	2965	4338	2960	1872	6653	347	842	2157	1956	829	522	2018	193	686	666	314	23	136
Lower Secondary	116963	9208	20932	45533	28314	9058	3918	86431	6864	16674	36108	20564	4869	1351	18955	1479	2043	4900	4989	3348	2195	8051	579	1042	3175	2284	736	235	3526	286	1172	1351	476	104	137
Secondary	233251	21243	45712	97182	49997	14015	5103	167056	15106	35370	76290	33326	5703	1261	43232	3989	6080	11658	11520	6806	3180	17280	1615	3113	6920	4162	1038	432	5684	533	1149	2314	989	469	230
Post Secondary (Non-Tertiary)	114533	13478	24635	45573	22520	6309	2019	75884	7901	17190	33071	14150	2947	625	25051	3978	4669	6852	5826	2537	1188	9977	1130	1839	4257	2011	576	163	3622	469	937	1393	532	248	43
Polytechnic Diploma	70270	14787	18616	25603	8869	1807	586	52118	10388	13988	20452	6258	879	154	12123	3045	3188	3144	1833	660	253	4641	1083	1103	1521	585	210	139	1388	271	338	486	194	58	41
Professional Qualification and Other Diploma	99535	16414	25712	38567	14904	3145	793	77901	12809	21319	30717	10937	1797	321	10371	1658	1943	3130	2269	1013	357	7613	1269	1538	3517	1061	193	34	3651	677	911	1203	637	142	81
University	334761	75244	87066	128572	36752	6171	955	255375	62720	66449	93308	28039	4288	571	15956	3851	3740	4497	2691	929	247	42553	5424	10867	22464	3422	292	84	20878	3248	6011	8303	2599	663	53

Column legend

Title	Column name	Data type	Unit of measure	Description
Number	Number	Text	Number	-
(Total) Total	Total_Total	Numeric	Number	-
[Total] (Number of Children Born) None	Total_NumberofChildrenBorn_None	Numeric	Number	-
[Total] (Number of Children Born) 1 Child	Total_NumberofChildrenBorn_1Child	Numeric	Number	-
[Total] (Number of Children Born) 2 Children	Total_NumberofChildrenBorn_2Children	Numeric	Number	-
[Total] (Number of Children Born) 3 Children	Total_NumberofChildrenBorn_3Children	Numeric	Number	-
[Total] (Number of Children Born) 4 Children	Total_NumberofChildrenBorn_4Children	Numeric	Number	-
[Total] (Number of Children Born) 5 or More Children	Total_NumberofChildrenBorn_5orMoreChildren	Numeric	Number	-
(Chinese) Total	Chinese_Total	Numeric	Number	-
[Chinese] (Number of Children Born) None	Chinese_NumberofChildrenBorn_None	Numeric	Number	-

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_64712b1a12a5f90d148b11928184f076"
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 Ever-Married Females Aged 15 Years and Over by Highest Qualification Attained, Number of Children Born and Ethnic Group (Census of Population 2020) (2025) [Dataset]. data.gov.sg. Retrieved October 21, 2025 from https://data.gov.sg/datasets/d_64712b1a12a5f90d148b11928184f076/view

Data explorer

ResidentEverMarriedFemalesAged15YearsandOverbyHighestQualificationAttainedNumberofChildrenBornandEthnicGroupCensusofPopulation2020.csv (9 rows, 3.6 KB)

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Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

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