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Health

Household Healthcare Expenditure

Data from Jan 2002 to Dec 2017Updated 7 months ago

MOH (Ministry of Health)

Household healthcare expenditure

Household Healthcare Expenditure

Data explorer

HouseholdHealthcareExpenditure.csv (24 rows, 727 B)

Period start Year (YYYY)	Period end Year (YYYY)	Income quintile Text	Percentage expenditure on healthcare Numeric (Percentage)
(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%
2002	2003	All Households	4.7
2002	2003	1st quintile	5.7
2002	2003	2nd quintile	4.8
2002	2003	3rd quintile	4.8
2002	2003	4th quintile	4.8
2002	2003	5th quintile	4.1
2007	2008	All Households	5.3
2007	2008	1st quintile	6
2007	2008	2nd quintile	5.5
2007	2008	3rd quintile	5.5

Column legend

Title	Column name	Data type	Unit of measure	Description
Period start	period_start	Year (YYYY)	-	-
Period end	period_end	Year (YYYY)	-	-
Income quintile	income_quintile	Text	-	-
Percentage expenditure on healthcare	percentage_expenditure_on_healthcare	Numeric (Percentage)	-	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_59f95bfb94f977cc3d9e74ac6f156ab5
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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_59f95bfb94f977cc3d9e74ac6f156ab5"
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.

Ministry of Health. (2017). Household Healthcare Expenditure (2024) [Dataset]. data.gov.sg. Retrieved January 15, 2025 from https://data.gov.sg/datasets/d_59f95bfb94f977cc3d9e74ac6f156ab5/view

About this dataset

Contact

feedback@data.gov.sg

Created on

03 Apr 2017

Licence

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

Agency

MOH (Ministry of Health)

Dataset usage

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Downloads

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API calls