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Economy

Resident Households by Monthly Household Income from Work1/, Ethnic Group and Sex of Head of Household (General Household Survey 2015)

Last updated: 03 Dec 2025, 21:01 SGT

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: 1/Includes employer CPF contributions.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8271

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_69c4afd3a8088a1782f0d839a6178439"
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 Households by Monthly Household Income from Work1/, Ethnic Group and Sex of Head of Household (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved December 27, 2025 from https://data.gov.sg/datasets/d_69c4afd3a8088a1782f0d839a6178439/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)

‌

Economy

Resident Households by Monthly Household Income from Work1/, Ethnic Group and Sex of Head of Household (General Household Survey 2015)

Last updated: 03 Dec 2025, 21:01 SGT

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: 1/Includes employer CPF contributions.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8271

‌

Data explorer

ResidentHouseholdsbyMonthlyHouseholdIncomefromWork1EthnicGroupandSexofHeadofHouseholdGeneralHouseholdSurvey2015.csv (24 rows, 2.8 KB)

Thousands Text	(Total) Total Numeric	(Total) Males Numeric	(Total) Females Numeric	(Chinese) Total Numeric	(Chinese) Males Numeric	(Chinese) Females Numeric	(Malays) Total Numeric	(Malays) Males Numeric	(Malays) Females Numeric	(Indians) Total Numeric	(Indians) Males Numeric	(Indians) Females Numeric	(Others) Total Numeric	(Others) Males Numeric	(Others) 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	1225.3	917.1	308.2	937.9	693.2	244.7	134.1	101.6	32.5	113	89.7	23.3	40.3	32.6	7.7
No Working Person	118.8	64.6	54.2	97.7	53.2	44.4	10.6	5.6	5	8.5	4.6	3.9	2.2	1.3	0.9
Below 1,000	24	13.3	10.7	18.9	10.6	8.3	3.5	1.8	1.7	1.1	0.8	0.4	0.5	0.1	0.3
1,000 - 1,499	36.4	22.9	13.5	28.2	17.7	10.5	5.4	3.8	1.7	2.3	1.2	1	0.5	0.2	0.3
1,500 - 1,999	33.6	21.5	12.2	23.9	15.5	8.4	6.4	4.1	2.3	3	1.7	1.4	0.3	0.2	0.1
2,000 - 2,499	37.4	25.1	12.3	27.3	19	8.3	6.2	3.8	2.3	3.4	2	1.4	0.6	0.3	0.3
2,500 - 2,999	33.2	22.5	10.7	24.8	17.1	7.7	5.3	3.5	1.8	2.7	1.7	1	0.4	0.2	0.2
3,000 - 3,499	33.7	24.8	8.9	24	17.5	6.5	6.3	5	1.4	3.2	2.1	1	0.3	0.2	0.1
3,500 - 3,999	34	22.1	11.9	24.3	15.4	9	5.7	4	1.7	3.5	2.6	1	0.4	0.2	0.2
4,000 - 4,499	38.9	27.1	11.8	29	19.9	9.1	5.5	4.1	1.4	3.5	2.5	1.1	0.8	0.6	0.2

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	-
(Chinese) Total	Chinese_Total	Numeric	Thousands	-
(Chinese) Males	Chinese_Males	Numeric	Thousands	-
(Chinese) Females	Chinese_Females	Numeric	Thousands	-
(Malays) Total	Malays_Total	Numeric	Thousands	-
(Malays) Males	Malays_Males	Numeric	Thousands	-
(Malays) Females	Malays_Females	Numeric	Thousands	-

Analyse this dataset with Colab Notebook

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