A Singapore Government Agency Website
Official website links end with .gov.sg
Government agencies communicate via .gov.sg websites (e.g. go.gov.sg/open). Trusted websites

Secure websites use HTTPS

Look for a lock () or https:// as an added precaution. Share sensitive information only on official, secure websites.

Scam alert

Government officers will never ask you to send money or share your details over the phone. When unsure, hang up and call Scamshield at 1799.
 

Resident Ever-Married Females Aged 15 Years and Over by Highest Qualification Attained, Number of Children Born and Ethnic Group (Census of Population 2000)

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 29/03/2016

Update Frequency: 10 years

Survey period: Census of Population 2000

Footnotes: Note: Data exclude residents who were students. 

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8876

Last updated 19 days ago (21 Aug 2026)

Data explorer

ResidentEverMarriedFemalesAged15YearsandOverbyHighestQualificationAttainedNumberofChildrenBornandEthnicGroupCensusofPopulation2000.csv (9 rows, 4.4 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 Children
Numeric
[Total] (Number Of Children Born) 6 To 7 Children
Numeric
[Total] (Number Of Children Born) 8 Or More Children
Text
(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
[Chinese] (Number Of Children Born) 6 To 7 Children
Numeric
[Chinese] (Number Of Children Born) 8 Or More Children
Text
(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
[Malays] (Number Of Children Born) 6 To 7 Children
Text
[Malays] (Number Of Children Born) 8 Or More Children
Text
(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
[Indians] (Number Of Children Born) 6 To 7 Children
Text
[Indians] (Number Of Children Born) 8 Or More Children
Text
(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
Text
[Others] (Number Of Children Born) 6 To 7 Children
Text
[Others] (Number Of Children Born) 8 Or More Children
Text
(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)22.2%
(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)22.2%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)11.1%
(Null)33.3%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)22.2%
(Null)44.4%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)11.1%
(Null)22.2%
(Null)33.3%
Total9164931059851523172859111860417672137786423862934671590686307121596231326140952548822795532223206661202139906156952826829338157977051724669126701274561221221694136605243248126681598133632316281446222092799300250171
No Qualification2610129510211764765754842393582673335348263872112547067172794029345790321662163928012190093493116832475464660445094369752786015132875611157232027841919129719541295154020026539722318010010569
Primary1271467224158544235735545144305463426520079555052181221034302270419773330726541045199621173221546815323327914851104701101306571164281429371288628425218150417626556124491438143
Lower Secondary9714690141699136489236787182220310685217184568621353828945163744060119856730016102125720834328489723237063761327927690112228182166690271110611272204248399241108291429
Secondary2190842720945422879014389410599237713153671642592131036022698242971152681171695258351013413560810502100754120902422591641820293000653235169372221592433064577921044593274833826
Upper Secondary7454012489165392877712986278365625754580609989128412318595981780421201458954124619392705209872819141559099681434221610252263010na1618286324671265481455
Polytechnic239088332652865582170285295na214967683577358931917215105na13623864303201783810nana742203249215402610nana3086177129356nanana
Other Diploma4277810719106151475255379371505910371809620928412780462174383401022103845317074111264110na2416502573888376531410na9732132273771291611nana
University708792148819192214207388114717470na56262185571464916105589987712649na1591365414378311891914na1018418473513389281710510nana2842720616104536175196na
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_b2d325c73d635f0d01d394bd1bda1ad1
  2. 2. Click on the button below

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.

Adding an API key gives you higher rate limits and priority support. Log in to create your API key.

import requests
          
dataset_id = "d_b2d325c73d635f0d01d394bd1bda1ad1"
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 2000) (2026) [Dataset]. data.gov.sg. Retrieved September 10, 2026 from https://data.gov.sg/datasets/d_b2d325c73d635f0d01d394bd1bda1ad1/view

About this dataset

Contact

feedback@data.gov.sg

Created on

26 Oct 2024

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

SINGSTAT (Singapore Department of Statistics)