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2334 datasets found

Economy

Resident Population Aged 15 Years & Over By Sex And Marital Status, Annual

Data from Jan 1980 to Dec 2024Updated 8 days ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 03/02/2025

Update Frequency: Annual

Footnotes: Data for 1980, 1990, 2000, 2010 and 2020 are based on the Census of Population while data for 1995, 2005 and 2015 are based on the General Household Survey. Data for all other years are based on the Comprehensive June Labour Force Survey. Survey estimates are subject to sampling variability.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M810601

Data explorer

ResidentPopulationAged15YearsOverBySexAndMaritalStatusAnnual.csv (15 rows, 6.2 KB)

Data Series Text	2024 Numeric	2023 Numeric	2022 Numeric	2021 Numeric	2020 Numeric	2019 Numeric	2018 Numeric	2017 Numeric	2016 Numeric	2015 Numeric	2014 Numeric	2013 Numeric	2012 Numeric	2011 Numeric	2010 Numeric	2009 Numeric	2008 Numeric	2007 Numeric	2006 Numeric	2005 Numeric	2004 Numeric	2003 Numeric	2002 Numeric	2001 Numeric	2000 Numeric	1999 Numeric	1998 Numeric	1997 Numeric	1996 Numeric	1995 Numeric	1994 Numeric	1993 Numeric	1992 Numeric	1991 Numeric	1990 Numeric	1989 Numeric	1988 Numeric	1987 Numeric	1986 Numeric	1985 Numeric	1984 Numeric	1983 Numeric	1980 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%
Total	3586400	3553200	3484100	3402200	3459100	3422400	3386400	3353200	3318500	3275900	3259800	3205900	3183000	3148700	3105700	3034800	2938800	2944600	2892800	2770300	2739800	2698000	2621200	2554000	2494600	2490100	2449700	2413400	2357200	2304900	2280700	2242900	2204900	2153700	2078800	2032400	1990000	1947600	1906600	1866700	1829000	1791900	1651500
Single	1045200	1056000	997800	1063300	1090700	1058900	1057200	1034700	1049200	1034500	1048100	1029300	1022600	1012000	1000500	957600	918700	918400	903300	858100	844100	825200	797200	774300	760400	769300	767500	766600	750500	756600	762500	773700	774800	760100	747200	752800	745700	735200	736500	726600	714300	728000	674100
Married	2210500	2175100	2151900	2042600	2035400	2055300	2026800	2018400	1974700	1945600	1940100	1911500	1899000	1875900	1844600	1831300	1783700	1787100	1757600	1700500	1678700	1660300	1622400	1576200	1543200	1528700	1510000	1478600	1428300	1383600	1349600	1310000	1269000	1240000	1176400	1137800	1112200	1083300	1039700	1020100	1005100	951200	864600
Widowed	182600	167900	170500	155900	183200	167900	170300	180200	174600	172100	161100	158000	152300	157700	157600	152700	146900	155600	150300	135300	150800	150700	143300	145100	129200	144900	133800	128400	136500	125700	133100	124700	128300	121300	127300	116200	108100	106900	108200	99200	92800	101700	97100
Divorced/Separated	148000	154200	164000	140400	149800	140400	132000	119900	119900	123600	110600	107200	109200	103000	103100	93200	89500	83600	81700	76300	66200	61700	58300	58400	61800	47100	38400	39800	41900	38900	35400	34500	32800	32300	27900	25700	24100	22200	22300	20800	16700	11000	15800
Males	1730600	1716100	1688800	1653300	1663600	1659800	1644000	1630100	1607500	1589600	1583900	1560900	1550000	1534200	1517400	1477500	1437200	1438300	1419000	1357400	1343400	1323100	1286600	1254300	1229800	1229200	1204300	1195900	1165000	1146600	1133700	1121100	1098200	1077800	1045600	1007900	994400	974100	948000	929800	912200	901700	833500
Single	532300	543500	505400	541300	553200	546200	544200	531100	539700	533200	538500	535100	534700	529600	527100	505100	488900	487500	482700	460700	453000	441800	428700	418500	413300	420200	417700	423600	409500	421600	425800	432300	431600	424900	422600	418000	416100	410800	408100	400100	393400	404700	375800
Married	1098200	1082700	1094900	1031700	1023300	1034600	1025100	1026300	993900	984700	980800	963100	952200	944300	928400	913300	896300	894700	883500	847000	846800	835700	814200	793100	771000	768500	751100	737800	717200	692200	674700	657400	633400	621600	586700	563800	553300	539600	517100	506500	499600	476300	435900
Widowed	43800	32500	30800	29600	32200	31100	30500	31700	29900	28900	27300	25700	25700	25700	24900	26600	22700	26400	24200	21100	22500	24500	23600	23200	22600	24400	22700	21000	23900	20000	21700	20600	22400	20100	26100	17900	17000	16100	15500	16200	13600	16600	16000
Divorced/Separated	56300	57400	57700	50700	54900	48000	44100	40900	44100	42700	37300	37000	37500	34600	37100	32400	29300	29700	28800	28500	21100	21200	20100	19400	22900	16100	12800	13500	14400	12700	11400	10700	10800	11100	10200	8200	8000	7700	7300	7000	5600	4100	5700

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Number	-
2024	2024	Numeric	Number	-
2023	2023	Numeric	Number	-
2022	2022	Numeric	Number	-
2021	2021	Numeric	Number	-
2020	2020	Numeric	Number	-
2019	2019	Numeric	Number	-
2018	2018	Numeric	Number	-
2017	2017	Numeric	Number	-
2016	2016	Numeric	Number	-
2015	2015	Numeric	Number	-
2014	2014	Numeric	Number	-
2013	2013	Numeric	Number	-
2012	2012	Numeric	Number	-
2011	2011	Numeric	Number	-
2010	2010	Numeric	Number	-
2009	2009	Numeric	Number	-
2008	2008	Numeric	Number	-
2007	2007	Numeric	Number	-
2006	2006	Numeric	Number	-
2005	2005	Numeric	Number	-
2004	2004	Numeric	Number	-
2003	2003	Numeric	Number	-
2002	2002	Numeric	Number	-
2001	2001	Numeric	Number	-
2000	2000	Numeric	Number	-
1999	1999	Numeric	Number	-
1998	1998	Numeric	Number	-
1997	1997	Numeric	Number	-
1996	1996	Numeric	Number	-
1995	1995	Numeric	Number	-
1994	1994	Numeric	Number	-
1993	1993	Numeric	Number	-
1992	1992	Numeric	Number	-
1991	1991	Numeric	Number	-
1990	1990	Numeric	Number	-
1989	1989	Numeric	Number	-
1988	1988	Numeric	Number	-
1987	1987	Numeric	Number	-
1986	1986	Numeric	Number	-
1985	1985	Numeric	Number	-
1984	1984	Numeric	Number	-
1983	1983	Numeric	Number	-
1980	1980	Numeric	Number	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_e4c42075f284bf7589e066cf404b0b33
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.

import requests
          
dataset_id = "d_e4c42075f284bf7589e066cf404b0b33"
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. (2023). Resident Population Aged 15 Years & Over By Sex And Marital Status, Annual (2025) [Dataset]. data.gov.sg. Retrieved March 14, 2025 from https://data.gov.sg/datasets/d_e4c42075f284bf7589e066cf404b0b33/view

About this dataset

Contact

feedback@data.gov.sg

Created on

01 Nov 2023

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)

Data explorer

ResidentPopulationAged15YearsOverBySexAndMaritalStatusAnnual.csv (15 rows, 6.2 KB)

Data Series Text	2024 Numeric	2023 Numeric	2022 Numeric	2021 Numeric	2020 Numeric	2019 Numeric	2018 Numeric	2017 Numeric	2016 Numeric	2015 Numeric	2014 Numeric	2013 Numeric	2012 Numeric	2011 Numeric	2010 Numeric	2009 Numeric	2008 Numeric	2007 Numeric	2006 Numeric	2005 Numeric	2004 Numeric	2003 Numeric	2002 Numeric	2001 Numeric	2000 Numeric	1999 Numeric	1998 Numeric	1997 Numeric	1996 Numeric	1995 Numeric	1994 Numeric	1993 Numeric	1992 Numeric	1991 Numeric	1990 Numeric	1989 Numeric	1988 Numeric	1987 Numeric	1986 Numeric	1985 Numeric	1984 Numeric	1983 Numeric	1980 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%
Total	3586400	3553200	3484100	3402200	3459100	3422400	3386400	3353200	3318500	3275900	3259800	3205900	3183000	3148700	3105700	3034800	2938800	2944600	2892800	2770300	2739800	2698000	2621200	2554000	2494600	2490100	2449700	2413400	2357200	2304900	2280700	2242900	2204900	2153700	2078800	2032400	1990000	1947600	1906600	1866700	1829000	1791900	1651500
Single	1045200	1056000	997800	1063300	1090700	1058900	1057200	1034700	1049200	1034500	1048100	1029300	1022600	1012000	1000500	957600	918700	918400	903300	858100	844100	825200	797200	774300	760400	769300	767500	766600	750500	756600	762500	773700	774800	760100	747200	752800	745700	735200	736500	726600	714300	728000	674100
Married	2210500	2175100	2151900	2042600	2035400	2055300	2026800	2018400	1974700	1945600	1940100	1911500	1899000	1875900	1844600	1831300	1783700	1787100	1757600	1700500	1678700	1660300	1622400	1576200	1543200	1528700	1510000	1478600	1428300	1383600	1349600	1310000	1269000	1240000	1176400	1137800	1112200	1083300	1039700	1020100	1005100	951200	864600
Widowed	182600	167900	170500	155900	183200	167900	170300	180200	174600	172100	161100	158000	152300	157700	157600	152700	146900	155600	150300	135300	150800	150700	143300	145100	129200	144900	133800	128400	136500	125700	133100	124700	128300	121300	127300	116200	108100	106900	108200	99200	92800	101700	97100
Divorced/Separated	148000	154200	164000	140400	149800	140400	132000	119900	119900	123600	110600	107200	109200	103000	103100	93200	89500	83600	81700	76300	66200	61700	58300	58400	61800	47100	38400	39800	41900	38900	35400	34500	32800	32300	27900	25700	24100	22200	22300	20800	16700	11000	15800
Males	1730600	1716100	1688800	1653300	1663600	1659800	1644000	1630100	1607500	1589600	1583900	1560900	1550000	1534200	1517400	1477500	1437200	1438300	1419000	1357400	1343400	1323100	1286600	1254300	1229800	1229200	1204300	1195900	1165000	1146600	1133700	1121100	1098200	1077800	1045600	1007900	994400	974100	948000	929800	912200	901700	833500
Single	532300	543500	505400	541300	553200	546200	544200	531100	539700	533200	538500	535100	534700	529600	527100	505100	488900	487500	482700	460700	453000	441800	428700	418500	413300	420200	417700	423600	409500	421600	425800	432300	431600	424900	422600	418000	416100	410800	408100	400100	393400	404700	375800
Married	1098200	1082700	1094900	1031700	1023300	1034600	1025100	1026300	993900	984700	980800	963100	952200	944300	928400	913300	896300	894700	883500	847000	846800	835700	814200	793100	771000	768500	751100	737800	717200	692200	674700	657400	633400	621600	586700	563800	553300	539600	517100	506500	499600	476300	435900
Widowed	43800	32500	30800	29600	32200	31100	30500	31700	29900	28900	27300	25700	25700	25700	24900	26600	22700	26400	24200	21100	22500	24500	23600	23200	22600	24400	22700	21000	23900	20000	21700	20600	22400	20100	26100	17900	17000	16100	15500	16200	13600	16600	16000
Divorced/Separated	56300	57400	57700	50700	54900	48000	44100	40900	44100	42700	37300	37000	37500	34600	37100	32400	29300	29700	28800	28500	21100	21200	20100	19400	22900	16100	12800	13500	14400	12700	11400	10700	10800	11100	10200	8200	8000	7700	7300	7000	5600	4100	5700

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Number	-
2024	2024	Numeric	Number	-
2023	2023	Numeric	Number	-
2022	2022	Numeric	Number	-
2021	2021	Numeric	Number	-
2020	2020	Numeric	Number	-
2019	2019	Numeric	Number	-
2018	2018	Numeric	Number	-
2017	2017	Numeric	Number	-
2016	2016	Numeric	Number	-
2015	2015	Numeric	Number	-
2014	2014	Numeric	Number	-
2013	2013	Numeric	Number	-
2012	2012	Numeric	Number	-
2011	2011	Numeric	Number	-
2010	2010	Numeric	Number	-
2009	2009	Numeric	Number	-
2008	2008	Numeric	Number	-
2007	2007	Numeric	Number	-
2006	2006	Numeric	Number	-
2005	2005	Numeric	Number	-
2004	2004	Numeric	Number	-
2003	2003	Numeric	Number	-
2002	2002	Numeric	Number	-
2001	2001	Numeric	Number	-
2000	2000	Numeric	Number	-
1999	1999	Numeric	Number	-
1998	1998	Numeric	Number	-
1997	1997	Numeric	Number	-
1996	1996	Numeric	Number	-
1995	1995	Numeric	Number	-
1994	1994	Numeric	Number	-
1993	1993	Numeric	Number	-
1992	1992	Numeric	Number	-
1991	1991	Numeric	Number	-
1990	1990	Numeric	Number	-
1989	1989	Numeric	Number	-
1988	1988	Numeric	Number	-
1987	1987	Numeric	Number	-
1986	1986	Numeric	Number	-
1985	1985	Numeric	Number	-
1984	1984	Numeric	Number	-
1983	1983	Numeric	Number	-
1980	1980	Numeric	Number	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_e4c42075f284bf7589e066cf404b0b33
2. Click on the button below