Resident Population by Planning Area/Subzone of Residence, Age Group and Floor Area of Residence (Census of Population 2020)

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.

Data explorer

ResidentPopulationbyPlanningAreaSubzoneofResidenceAgeGroupandFloorAreaofResidenceCensusofPopulation2020.csv (388 rows, 237.3 KB)

Number Text	(Total1/) Total Text	(Total1/) 0 - 4 Text	(Total1/) 5 - 9 Text	(Total1/) 10 - 14 Text	(Total1/) 15 - 19 Text	(Total1/) 20 - 24 Text	(Total1/) 25 - 29 Text	(Total1/) 30 - 34 Text	(Total1/) 35 - 39 Text	(Total1/) 40 - 44 Text	(Total1/) 45 - 49 Text	(Total1/) 50 - 54 Text	(Total1/) 55 - 59 Text	(Total1/) 60 - 64 Text	(Total1/) 65 - 69 Text	(Total1/) 70 - 74 Text	(Total1/) 75 - 79 Text	(Total1/) 80 - 84 Text	(Total1/) 85 - 89 Text	(Total1/) 90 & Over Text	(≤ 60 sq m) Total Text	(≤ 60 sq m) 0 - 4 Text	(≤ 60 sq m) 5 - 9 Text	(≤ 60 sq m) 10 - 14 Text	(≤ 60 sq m) 15 - 19 Text	(≤ 60 sq m) 20 - 24 Text	(≤ 60 sq m) 25 - 29 Text	(≤ 60 sq m) 30 - 34 Text	(≤ 60 sq m) 35 - 39 Text	(≤ 60 sq m) 40 - 44 Text	(≤ 60 sq m) 45 - 49 Text	(≤ 60 sq m) 50 - 54 Text	(≤ 60 sq m) 55 - 59 Text	(≤ 60 sq m) 60 - 64 Text	(≤ 60 sq m) 65 - 69 Text	(≤ 60 sq m) 70 - 74 Text	(≤ 60 sq m) 75 - 79 Text	(≤ 60 sq m) 80 - 84 Text	(≤ 60 sq m) 85 - 89 Text	(≤ 60 sq m) 90 & Over Text	(> 60 - 80 sq m) Total Text	(> 60 - 80 sq m) 0 - 4 Text	(> 60 - 80 sq m) 5 - 9 Text	(> 60 - 80 sq m) 10 - 14 Text	(> 60 - 80 sq m) 15 - 19 Text	(> 60 - 80 sq m) 20 - 24 Text	(> 60 - 80 sq m) 25 - 29 Text	(> 60 - 80 sq m) 30 - 34 Text	(> 60 - 80 sq m) 35 - 39 Text	(> 60 - 80 sq m) 40 - 44 Text	(> 60 - 80 sq m) 45 - 49 Text	(> 60 - 80 sq m) 50 - 54 Text	(> 60 - 80 sq m) 55 - 59 Text	(> 60 - 80 sq m) 60 - 64 Text	(> 60 - 80 sq m) 65 - 69 Text	(> 60 - 80 sq m) 70 - 74 Text	(> 60 - 80 sq m) 75 - 79 Text	(> 60 - 80 sq m) 80 - 84 Text	(> 60 - 80 sq m) 85 - 89 Text	(> 60 - 80 sq m) 90 & Over Text	(> 80 - 100 sq m) Total Text	(> 80 - 100 sq m) 0 - 4 Text	(> 80 - 100 sq m) 5 - 9 Text	(> 80 - 100 sq m) 10 - 14 Text	(> 80 - 100 sq m) 15 - 19 Text	(> 80 - 100 sq m) 20 - 24 Text	(> 80 - 100 sq m) 25 - 29 Text	(> 80 - 100 sq m) 30 - 34 Text	(> 80 - 100 sq m) 35 - 39 Text	(> 80 - 100 sq m) 40 - 44 Text	(> 80 - 100 sq m) 45 - 49 Text	(> 80 - 100 sq m) 50 - 54 Text	(> 80 - 100 sq m) 55 - 59 Text	(> 80 - 100 sq m) 60 - 64 Text	(> 80 - 100 sq m) 65 - 69 Text	(> 80 - 100 sq m) 70 - 74 Text	(> 80 - 100 sq m) 75 - 79 Text	(> 80 - 100 sq m) 80 - 84 Text	(> 80 - 100 sq m) 85 - 89 Text	(> 80 - 100 sq m) 90 & Over Text	(> 100 - 120 sq m) Total Text	(> 100 - 120 sq m) 0 - 4 Text	(> 100 - 120 sq m) 5 - 9 Text	(> 100 - 120 sq m) 10 - 14 Text	(> 100 - 120 sq m) 15 - 19 Text	(> 100 - 120 sq m) 20 - 24 Text	(> 100 - 120 sq m) 25 - 29 Text	(> 100 - 120 sq m) 30 - 34 Text	(> 100 - 120 sq m) 35 - 39 Text	(> 100 - 120 sq m) 40 - 44 Text	(> 100 - 120 sq m) 45 - 49 Text	(> 100 - 120 sq m) 50 - 54 Text	(> 100 - 120 sq m) 55 - 59 Text	(> 100 - 120 sq m) 60 - 64 Text	(> 100 - 120 sq m) 65 - 69 Text	(> 100 - 120 sq m) 70 - 74 Text	(> 100 - 120 sq m) 75 - 79 Text	(> 100 - 120 sq m) 80 - 84 Text	(> 100 - 120 sq m) 85 - 89 Text	(> 100 - 120 sq m) 90 & Over Text	(> 120 sq m) Total Text	(> 120 sq m) 0 - 4 Text	(> 120 sq m) 5 - 9 Text	(> 120 sq m) 10 - 14 Text	(> 120 sq m) 15 - 19 Text	(> 120 sq m) 20 - 24 Text	(> 120 sq m) 25 - 29 Text	(> 120 sq m) 30 - 34 Text	(> 120 sq m) 35 - 39 Text	(> 120 sq m) 40 - 44 Text	(> 120 sq m) 45 - 49 Text	(> 120 sq m) 50 - 54 Text	(> 120 sq m) 55 - 59 Text	(> 120 sq m) 60 - 64 Text	(> 120 sq m) 65 - 69 Text	(> 120 sq m) 70 - 74 Text	(> 120 sq m) 75 - 79 Text	(> 120 sq m) 80 - 84 Text	(> 120 sq m) 85 - 89 Text	(> 120 sq m) 90 & Over Text
(Null)0.0%	(Null)13.4%	(Null)30.7%	(Null)30.7%	(Null)30.4%	(Null)30.4%	(Null)29.6%	(Null)28.9%	(Null)29.9%	(Null)28.9%	(Null)29.4%	(Null)29.1%	(Null)29.1%	(Null)29.1%	(Null)29.4%	(Null)29.6%	(Null)30.4%	(Null)33.5%	(Null)34.3%	(Null)36.3% 106.2% 203.1% 402.8% 1202.6%	(Null)36.6% 107.0% 204.4% 303.6% 603.9%	(Null)41.0%	(Null)57.5% 109.5% 202.3% 302.8% 703.1%	(Null)58.2% 108.0% 203.4% 502.8% 902.3%	(Null)60.3% 107.5% 203.1% 502.3% 802.6%	(Null)62.1% 104.9% 203.1% 802.6% 1002.3%	(Null)60.8% 106.2% 302.3% 901.8% 1102.3%	(Null)53.6% 106.4% 204.6% 302.6% 702.6%	(Null)49.0% 108.0% 205.2% 302.6% 803.1%	(Null)48.2% 107.5% 206.2% 603.4% 903.1%	(Null)48.2% 109.8% 205.2% 302.8% 502.8%	(Null)50.3% 108.0% 205.7% 403.4% 703.1%	(Null)51.8% 109.8% 203.4% 302.3% 402.6%	(Null)54.9% 107.7% 203.4% 401.8% 801.5%	(Null)55.9% 107.0% 702.1% 801.8% 1102.1%	(Null)58.8% 104.4% 501.8% 601.8% 701.8%	(Null)60.3% 103.4% 402.6% 503.1% 1802.6%	(Null)62.1% 103.4% 203.4% 303.6% 603.1%	(Null)63.9% 103.6% 204.9% 303.9% 602.8%	(Null)66.2% 107.7% 205.2% 304.4% 503.4%	(Null)70.6% 1012.4% 204.1% 303.1% 502.3%	(Null)37.6%	(Null)48.5% 107.2% 203.9% 303.6% 402.6%	(Null)48.7% 107.5% 204.4% 303.1% 502.1%	(Null)49.7% 109.3% 202.3% 402.6% 802.6%	(Null)51.3% 108.0% 203.4% 402.6% 702.3%	(Null)51.3% 108.2% 203.4% 401.5% 502.3%	(Null)48.2% 105.7% 203.6% 303.6% 401.8%	(Null)44.1%	(Null)42.5%	(Null)43.6% 107.0% 204.1% 302.1% 403.1%	(Null)43.3%	(Null)44.8%	(Null)47.2%	(Null)48.5%	(Null)52.1%	(Null)51.5% 108.8% 202.1% 602.1% 3902.1%	(Null)57.7% 105.4% 203.1% 302.1% 401.8%	(Null)59.5% 105.7% 203.6% 301.8% 1102.3%	(Null)62.6% 107.0% 203.1% 303.4% 503.9%	(Null)66.2% 109.3% 206.2% 304.9% 403.1%	(Null)35.1%	(Null)43.3%	(Null)42.8%	(Null)43.8%	(Null)44.8%	(Null)45.9%	(Null)42.5%	(Null)41.0%	(Null)39.9%	(Null)39.2%	(Null)39.7%	(Null)40.2%	(Null)41.2%	(Null)42.5%	(Null)45.1%	(Null)45.1%	(Null)50.5% 106.2% 204.1% 303.1% 502.6%	(Null)53.6% 105.7% 203.4% 305.4% 603.4%	(Null)56.2% 108.5% 204.6% 304.9% 504.1%	(Null)60.6% 1011.1% 207.5% 303.9% 404.1%	(Null)32.2%	(Null)41.5%	(Null)41.2%	(Null)42.0%	(Null)41.5%	(Null)42.8%	(Null)42.3%	(Null)39.9%	(Null)38.1%	(Null)38.1%	(Null)38.4%	(Null)39.2%	(Null)39.4%	(Null)42.3%	(Null)42.5%	(Null)42.8%	(Null)46.9% 107.5% 203.4% 302.6% 803.1%	(Null)48.2% 108.5% 304.6% 403.4% 603.6%	(Null)53.6% 108.8% 205.7% 306.4% 404.6%	(Null)59.3% 1011.3% 208.2% 307.0% 403.4%	(Null)30.7%	(Null)36.9% 105.4% 204.6% 403.4% 1303.4%	(Null)36.6%	(Null)36.9%	(Null)35.6%	(Null)34.0%	(Null)33.8%	(Null)35.3%	(Null)34.3%	(Null)34.3%	(Null)33.5%	(Null)34.0%	(Null)33.2%	(Null)33.8%	(Null)34.5%	(Null)34.8%	(Null)37.9% 107.7% 205.7% 303.6% 403.6%	(Null)39.4% 1010.1% 205.2% 304.9% 403.9%	(Null)45.4% 1012.1% 207.2% 304.4% 404.9%	(Null)50.0% 1014.2% 208.5% 306.4% 403.4%
Total	4044210	183080	198740	206390	215230	244540	287000	297800	299520	299290	311740	296070	305830	284630	229400	170010	90990	66510	36590	20880	258360	10350	9540	10220	11000	13090	15370	14890	14500	15670	17470	18840	21420	23170	21200	17460	9910	7810	4140	2320	517760	18930	19340	20180	20920	24190	31970	37700	38830	38550	40690	39310	42910	41190	35560	28900	16710	12490	6350	3040	983120	64240	57580	47000	43750	47730	65750	95530	97080	82170	72240	62530	62630	57960	48280	35520	18760	13350	7290	3760	1103980	51370	58660	63930	64540	70500	79500	79840	84460	88080	91000	82960	81630	72550	54730	37770	19130	12880	6850	3610	1142110	37510	52620	64120	73960	87620	93000	68160	62820	72760	88080	90170	94450	86750	66500	47250	23970	17210	9590	5570
Ang Mo Kio - Total	162280	5280	6100	7030	7600	8680	10320	10490	10420	11350	12410	11860	12780	12730	11960	9930	5770	4150	2280	1130	11560	440	420	480	600	780	720	560	480	460	600	860	1000	1100	1010	870	500	350	210	110	46620	1230	1310	1650	1760	2130	2620	2980	3160	3480	3740	3600	4060	3990	3800	3180	1850	1240	600	260	52540	1840	1830	1960	2120	2480	3330	3870	3790	3870	3900	3710	3980	3950	3940	3260	1980	1470	840	420	20060	820	1220	1270	1170	1110	1270	1280	1410	1740	1790	1410	1310	1220	1100	920	460	310	160	90	30100	940	1300	1680	1920	2150	2340	1740	1520	1750	2320	2210	2370	2370	1980	1560	840	640	320	160
Ang Mo Kio Town Centre	4810	170	240	280	320	270	280	290	330	400	470	370	320	300	250	230	140	100	40	20	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	340	20	20	10	10	10	30	30	30	20	20	20	30	30	20	10	10	10	-	-	970	40	40	50	50	30	50	80	90	90	100	70	50	70	60	50	30	30	10	10	2860	90	150	170	210	160	160	160	170	250	280	220	180	160	160	150	90	60	20	10	610	30	20	40	60	70	40	20	40	40	60	60	50	40	10	20	10	10	-	-
Cheng San	28070	1060	1040	1040	1160	1330	1710	2000	2150	2070	2200	2050	2120	2120	2170	1730	960	640	350	180	970	30	20	30	60	70	70	40	30	40	40	70	70	110	140	80	50	20	20	10	10640	300	270	320	420	510	630	710	750	740	910	890	920	910	830	720	380	270	120	60	11460	490	440	420	440	480	710	930	950	870	820	770	840	810	880	710	410	270	170	80	4170	220	280	240	210	240	240	260	360	370	370	280	240	230	230	180	100	70	40	20	730	30	30	40	40	40	50	50	50	50	50	40	50	70	80	40	20	10	-	10
Chong Boon	26500	860	840	1010	1060	1310	1610	1890	1730	1800	1820	1900	2090	2140	2100	1800	1130	780	430	200	1470	60	50	60	70	120	70	90	60	60	70	110	140	160	110	90	60	60	30	10	10210	250	290	400	410	470	600	630	630	790	740	790	880	880	860	720	460	250	130	50	10270	390	310	350	380	520	630	840	730	660	730	720	780	780	780	660	420	340	170	80	3510	140	150	160	170	170	260	290	260	240	230	230	230	230	280	230	120	60	40	20	540	20	30	30	20	30	40	30	40	50	40	30	30	40	40	40	20	10	-	-
Kebun Bahru	22620	660	810	950	1010	1170	1420	1410	1450	1620	1790	1710	1800	1750	1690	1430	840	620	340	160	2320	70	70	70	90	140	140	110	120	110	120	200	200	220	210	180	100	80	50	30	8450	230	250	310	330	400	460	560	600	660	710	650	730	700	660	550	320	210	100	40	7380	210	240	290	340	390	520	490	470	530	600	560	570	580	550	450	270	180	110	60	1200	60	80	90	70	60	80	80	90	120	110	70	60	60	60	60	20	20	10	-	3040	90	170	180	180	180	210	150	160	200	240	220	230	180	180	170	100	110	60	20
Sembawang Hills	6850	210	310	400	460	500	500	350	310	370	550	540	550	480	410	370	230	150	100	60	30	-	-	-	-	-	-	10	-	-	-	10	-	-	-	-	-	-	-	-	110	10	-	10	-	10	10	-	10	10	20	-	10	10	10	10	-	-	-	-	330	-	10	20	10	20	20	10	10	20	20	20	40	20	20	20	20	10	10	10	400	-	20	20	10	30	30	20	10	30	20	30	30	40	30	20	20	30	10	10	5910	200	280	350	430	440	430	300	270	310	470	470	460	400	350	320	190	110	70	50
Shangri-La	15960	550	560	640	710	860	980	1020	990	1010	1210	1200	1390	1270	1180	960	620	430	250	130	2680	120	120	150	140	170	170	120	120	100	150	190	250	240	210	180	120	70	40	30	5440	100	150	190	210	260	290	280	310	400	470	450	530	460	410	390	240	180	100	40	5250	210	170	180	230	260	350	410	390	360	380	380	440	370	390	290	190	130	90	40	880	60	60	40	40	50	70	110	80	70	70	40	60	50	40	30	10	10	-	-	1660	60	60	80	90	120	110	100	90	90	140	120	120	140	130	80	50	40	20	10
Tagore	7950	210	310	400	450	580	670	490	340	440	580	580	670	730	550	380	210	190	120	60	50	-	-	-	-	-	-	10	10	10	-	-	-	-	-	-	-	-	-	-	190	-	10	10	-	20	10	10	20	10	20	20	20	20	10	-	-	-	-	-	90	-	10	-	10	-	-	10	-	10	20	10	10	-	-	-	-	-	-	-	1080	30	50	50	70	80	90	70	50	90	90	100	110	90	60	40	10	10	-	-	6370	160	230	340	370	480	570	410	270	310	450	450	520	610	460	330	170	150	70	30
Townsville	21140	660	860	930	820	890	1310	1400	1410	1650	1560	1360	1580	1660	1530	1420	880	680	360	190	1350	40	50	30	50	60	70	70	50	50	80	110	100	110	150	160	80	50	30	10	5410	140	150	180	160	190	310	370	370	390	390	340	460	490	480	400	250	200	90	50	10460	340	420	410	400	460	670	740	730	840	730	690	750	810	730	670	430	350	200	100	2090	90	180	220	100	70	100	120	160	260	210	100	110	110	70	80	50	30	10	10	1790	50	60	90	120	110	140	100	110	90	150	120	150	130	90	120	60	60	30	10

Column legend

Title	Column name	Data type	Unit of measure	Description
Number	Number	Text	Number	-
(Total1/) Total	Total1_Total	Text	Number	-
(Total1/) 0 - 4	Total1_0_4	Text	Number	-
(Total1/) 5 - 9	Total1_5_9	Text	Number	-
(Total1/) 10 - 14	Total1_10_14	Text	Number	-
(Total1/) 15 - 19	Total1_15_19	Text	Number	-
(Total1/) 20 - 24	Total1_20_24	Text	Number	-
(Total1/) 25 - 29	Total1_25_29	Text	Number	-
(Total1/) 30 - 34	Total1_30_34	Text	Number	-
(Total1/) 35 - 39	Total1_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.

import requests
          
dataset_id = "d_9e035622439b5d25a63d7ea0699c9451"
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 by Planning Area/Subzone of Residence, Age Group and Floor Area of Residence (Census of Population 2020) (2026) [Dataset]. data.gov.sg. Retrieved April 5, 2026 from https://data.gov.sg/datasets/d_9e035622439b5d25a63d7ea0699c9451/view

Data explorer

ResidentPopulationbyPlanningAreaSubzoneofResidenceAgeGroupandFloorAreaofResidenceCensusofPopulation2020.csv (388 rows, 237.3 KB)

Column legend

Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

About this dataset

Contact

Created on

Licence

Agency