Resident Population Aged 15 Years and Over by Planning Area, Economic Status and Sex (General Household Survey 2015)

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Updated 5 days ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 16/03/2016

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/8440

Data explorer

ResidentPopulationAged15YearsandOverbyPlanningAreaEconomicStatusandSexGeneralHouseholdSurvey2015.csv (30 rows, 3.7 KB)

Thousands Text	(Total) Total Numeric	(Total) Males Numeric	(Total) Females Numeric	(Economically Active- Total) Total Numeric	(Economically Active- Total) Males Numeric	(Economically Active- Total) Females Numeric	(Economically Active- Working) Total Numeric	(Economically Active- Working) Males Numeric	(Economically Active- Working) Females Numeric	(Economically Active- Unemployed) Total Numeric	(Economically Active- Unemployed) Males Numeric	(Economically Active- Unemployed) Females Numeric	(Economically Inactive) Total Numeric	(Economically Inactive) Males Numeric	(Economically Inactive) Females 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%
Total	3275.9	1589.6	1686.3	2236.6	1218.9	1017.7	2151.9	1174.5	977.4	84.7	44.4	40.3	1039.3	370.7	668.5
Ang Mo Kio	157.2	76.1	81.2	105.8	57.7	48.2	101.2	54.9	46.3	4.6	2.8	1.8	51.4	18.4	33
Bedok	235.9	114.7	121.3	156.3	85.3	70.9	150.3	82.5	67.8	6	2.8	3.2	79.7	29.4	50.3
Bishan	76.3	36.1	40.1	51.4	27.4	24	49.5	26.4	23.1	1.9	0.9	0.9	24.9	8.7	16.2
Bukit Batok	120.1	57.6	62.4	79.7	43.2	36.5	75.6	41.2	34.5	4.1	2.1	2	40.4	14.4	26
Bukit Merah	132.5	63.3	69.2	85.5	45.7	39.8	82.2	43.9	38.4	3.3	1.8	1.5	47	17.6	29.3
Bukit Panjang	119.6	59.7	59.9	83.7	47.3	36.5	80.1	45.3	34.8	3.6	2	1.7	35.9	12.4	23.5
Bukit Timah	59.1	27.8	31.3	38	20.6	17.3	36.8	19.9	16.9	1.2	0.7	0.4	21.1	7.1	14
Choa Chu Kang	149.3	71.5	77.8	101.1	54.3	46.7	97.2	52.7	44.5	3.8	1.6	2.2	48.2	17.1	31.1
Clementi	72.7	34.7	38	47.3	25.5	21.8	45.9	24.8	21.2	1.4	0.7	0.6	25.4	9.2	16.1

Column legend

Title	Column name	Data type	Unit of measure	Description
Thousands	Thousands	Text	Thousands	-
(Total) Total	Total_Total	Numeric	Thousands	-
(Total) Males	Total_Males	Numeric	Thousands	-
(Total) Females	Total_Females	Numeric	Thousands	-
(Economically Active- Total) Total	EconomicallyActive_Total_Total	Numeric	Thousands	-
(Economically Active- Total) Males	EconomicallyActive_Total_Males	Numeric	Thousands	-
(Economically Active- Total) Females	EconomicallyActive_Total_Females	Numeric	Thousands	-
(Economically Active- Working) Total	EconomicallyActive_Working_Total	Numeric	Thousands	-
(Economically Active- Working) Males	EconomicallyActive_Working_Males	Numeric	Thousands	-
(Economically Active- Working) Females	EconomicallyActive_Working_Females	Numeric	Thousands	-
(Economically Active- Unemployed) Total	EconomicallyActive_Unemployed_Total	Numeric	Thousands	-
(Economically Active- Unemployed) Males	EconomicallyActive_Unemployed_Males	Numeric	Thousands	-
(Economically Active- Unemployed) Females	EconomicallyActive_Unemployed_Females	Numeric	Thousands	-
(Economically Inactive) Total	EconomicallyInactive_Total	Numeric	Thousands	-
(Economically Inactive) Males	EconomicallyInactive_Males	Numeric	Thousands	-
(Economically Inactive) Females	EconomicallyInactive_Females	Numeric	Thousands	-

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_47bc139c876e5a75f06e41e2ee62cfbc"
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 and Over by Planning Area, Economic Status and Sex (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved January 15, 2025 from https://data.gov.sg/datasets/d_47bc139c876e5a75f06e41e2ee62cfbc/view

Data explorer

ResidentPopulationAged15YearsandOverbyPlanningAreaEconomicStatusandSexGeneralHouseholdSurvey2015.csv (30 rows, 3.7 KB)

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Sample OpenAPI query

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