Resident Population by Planning Area/Subzone, Age Group and Sex (General Household Survey 2015)

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Resident Population by Planning Area/Subzone, Age Group and Sex (General Household Survey 2015)

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: Planning areas refer to areas demarcated in the Urban Redevelopment Authority's Master Plan 2014.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8182

Last updated 5 days ago (4 Sep 2026)

Data explorer

ResidentPopulationbyPlanningAreaSubzoneAgeGroupandSexGeneralHouseholdSurvey2015.csv (379 rows, 128.5 KB)

Number Text	(Total) Total Text	(Total) 0 - 4 Text	(Total) 5 - 9 Text	(Total) 10 - 14 Text	(Total) 15 - 19 Text	(Total) 20 - 24 Text	(Total) 25 - 29 Text	(Total) 30 - 34 Text	(Total) 35 - 39 Text	(Total) 40 - 44 Text	(Total) 45 - 49 Text	(Total) 50 - 54 Text	(Total) 55 - 59 Text	(Total) 60 - 64 Text	(Total) 65 - 69 Text	(Total) 70 - 74 Text	(Total) 75 - 79 Text	(Total) 80 - 84 Text	(Total) 85 & Over Text	(Males) Total Text	(Males) 0 - 4 Text	(Males) 5 - 9 Text	(Males) 10 - 14 Text	(Males) 15 - 19 Text	(Males) 20 - 24 Text	(Males) 25 - 29 Text	(Males) 30 - 34 Text	(Males) 35 - 39 Text	(Males) 40 - 44 Text	(Males) 45 - 49 Text	(Males) 50 - 54 Text	(Males) 55 - 59 Text	(Males) 60 - 64 Text	(Males) 65 - 69 Text	(Males) 70 - 74 Text	(Males) 75 - 79 Text	(Males) 80 - 84 Text	(Males) 85 & Over Text	(Females) Total Text	(Females) 0 - 4 Text	(Females) 5 - 9 Text	(Females) 10 - 14 Text	(Females) 15 - 19 Text	(Females) 20 - 24 Text	(Females) 25 - 29 Text	(Females) 30 - 34 Text	(Females) 35 - 39 Text	(Females) 40 - 44 Text	(Females) 45 - 49 Text	(Females) 50 - 54 Text	(Females) 55 - 59 Text	(Females) 60 - 64 Text	(Females) 65 - 69 Text	(Females) 70 - 74 Text	(Females) 75 - 79 Text	(Females) 80 - 84 Text	(Females) 85 & Over Text
(Null)0.0%	(Null)12.7%	(Null)29.8%	(Null)29.3%	(Null)29.8%	(Null)29.8%	(Null)30.3%	(Null)29.3%	(Null)29.3%	(Null)28.5%	(Null)28.2%	(Null)28.2%	(Null)28.5%	(Null)28.2%	(Null)28.8%	(Null)29.6%	(Null)31.1%	(Null)31.7%	(Null)33.0%	(Null)33.5%	(Null)28.0%	(Null)31.4%	(Null)31.7%	(Null)32.7%	(Null)31.9%	(Null)32.7%	(Null)31.4%	(Null)30.1%	(Null)28.8%	(Null)28.8%	(Null)29.6%	(Null)29.3%	(Null)29.8%	(Null)30.3%	(Null)31.1%	(Null)33.0%	(Null)34.6%	(Null)37.2% 107.4% 205.0% 504.0% 903.7%	(Null)37.2% 108.7% 204.5% 304.7% 705.0%	(Null)28.0%	(Null)31.9%	(Null)32.2%	(Null)32.2%	(Null)31.9%	(Null)30.6%	(Null)30.9%	(Null)29.8%	(Null)29.3%	(Null)29.0%	(Null)28.8%	(Null)29.0%	(Null)30.6%	(Null)31.4%	(Null)32.5%	(Null)34.3%	(Null)34.6%	(Null)36.7% 107.4% 303.7% 1002.6% 1503.4%	(Null)36.1% 106.3% 304.2% 802.9% 1602.9%
Total	3902690	183580	204450	214390	242900	264130	271030	290620	301070	316760	303410	315090	295060	240490	182430	102630	81210	51790	41660	1916630	93850	103860	109400	124290	133490	132500	137850	143800	154460	149610	158470	147860	119660	88700	47780	36130	20930	14000	1986060	89720	100590	104990	118620	130630	138530	152770	157270	162300	153810	156630	147200	120830	93730	54850	45090	30850	27660
Ang Mo Kio- Total	174770	6790	7660	8290	9320	10310	11170	12250	13070	13710	13000	14010	13800	12980	11050	6670	5140	3250	2300	84220	3480	3880	4200	4730	5130	5380	5800	6180	6610	6340	7000	6680	6040	5240	3070	2340	1340	770	90550	3310	3780	4090	4590	5180	5800	6450	6890	7100	6660	7010	7120	6940	5810	3600	2800	1910	1520
Ang Mo Kio Town Centre	5020	260	280	320	280	260	310	370	420	490	420	350	320	280	270	160	120	60	50	2370	130	130	160	140	130	140	160	200	240	210	170	150	130	120	80	50	20	20	2640	130	160	160	150	130	170	210	220	260	210	170	170	160	150	80	70	40	40
Cheng San	29770	1290	1180	1290	1400	1570	1830	2490	2490	2460	2220	2320	2290	2320	1920	1070	790	480	370	14400	670	630	680	760	780	860	1120	1190	1190	1110	1180	1070	1050	940	490	370	200	110	15370	620	550	620	650	800	970	1360	1300	1260	1110	1140	1220	1270	970	580	420	280	260
Chong Boon	27900	910	1100	1180	1370	1520	1800	1980	2100	2040	2060	2270	2260	2250	1950	1290	920	540	380	13590	460	580	640	750	770	870	970	1000	990	980	1150	1100	1050	900	600	420	230	140	14310	460	520	530	620	750	930	1010	1100	1060	1080	1120	1160	1200	1050	690	500	310	240
Kebun Bahru	23910	780	1010	1080	1240	1380	1490	1570	1730	1860	1860	1940	1890	1800	1610	1010	810	530	330	11450	380	490	540	620	680	700	780	810	890	920	990	890	860	740	460	380	230	110	12460	400	520	540	620	700	790	800	920	970	940	950	1000	940	870	550	430	300	230
Sembawang Hills	6890	200	360	460	550	550	450	310	320	500	550	590	520	430	400	260	190	140	130	3240	90	160	220	260	260	230	140	130	230	270	280	270	210	190	130	80	50	50	3650	100	200	250	290	280	220	170	190	270	280	310	250	230	210	130	110	80	80
Shangri-La	18510	750	790	850	1030	1120	1170	1290	1240	1370	1420	1610	1440	1360	1110	750	560	430	250	9090	390	410	430	520	570	570	630	610	680	690	850	740	660	500	320	250	170	90	9410	360	380	410	510	550	600	650	630	690	730	760	700	700	610	430	300	250	160
Tagore	8350	330	370	450	580	740	650	420	480	610	590	700	760	590	400	220	200	140	120	3990	160	190	180	280	380	340	180	220	270	260	320	370	310	210	100	110	60	40	4360	170	180	270	300	360	310	240	260	340	320	380	400	280	190	110	90	70	80
Townsville	23770	1140	1100	940	1010	1230	1480	1750	2070	1860	1560	1760	1830	1670	1590	1040	840	520	380	11300	610	590	490	500	610	700	790	1020	910	770	850	860	730	720	460	360	190	130	12470	520	510	450	520	610	780	960	1050	950	790	910	960	940	880	580	480	330	250

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Title	Column name	Data type	Unit of measure	Description
Number	Number	Text	Number	-
(Total) Total	Total_Total	Text	Number	-
(Total) 0 - 4	Total_0_4	Text	Number	-
(Total) 5 - 9	Total_5_9	Text	Number	-
(Total) 10 - 14	Total_10_14	Text	Number	-
(Total) 15 - 19	Total_15_19	Text	Number	-
(Total) 20 - 24	Total_20_24	Text	Number	-
(Total) 25 - 29	Total_25_29	Text	Number	-
(Total) 30 - 34	Total_30_34	Text	Number	-
(Total) 35 - 39	Total_35_39	Text	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.

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import requests
          
dataset_id = "d_530099f2c0a37ed367bb94a66c9100af"
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 by Planning Area/Subzone, Age Group and Sex (General Household Survey 2015) (2026) [Dataset]. data.gov.sg. Retrieved September 10, 2026 from https://data.gov.sg/datasets/d_530099f2c0a37ed367bb94a66c9100af/view

Data explorer

ResidentPopulationbyPlanningAreaSubzoneAgeGroupandSexGeneralHouseholdSurvey2015.csv (379 rows, 128.5 KB)

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Sample OpenAPI query

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