Total and current expenditure on health in Malaysia, with a breakdown into public and private sectors.
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In general, national health accounts (NHA) seek to answer 4 questions pertaining to healthcare spending:
Malaysia's national health accounts are based on the Malaysian National Health Accounts (MNHA) framework, which is consistent with international NHA classifications but with minor modifications to suit local policy needs.
For this dataset specifically, total expenditure on health (TEH) comprises 'health expenditure' and 'health-related' expenditure from both public and private sectors.
Current expenditure on health (CEH) is conceptually similar, but covers only health expenditure, i.e. it excludes health-related expenditure. The reason for publication of both TEH and CHE is that TEH (which has a broader scope) is used for domestic policy planning, while CHE is published for international comparability, as practiced by OECD and WHO countries since 2017. For a fuller description of the MNHA framework, you may refer to Chapter 2 of the most recent MNHA publication.
The data may be revised in future updates, in accordance with the latest methodologies.
MNHA 2022, the latest edition of the Malaysian National Health Accounts published by the Ministry of Health Malaysia.
Total and current expenditure on health in Malaysia, with a breakdown into public and private sectors.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The year of the expenditure in YYYY-MM-DD format, with MM-DD set to 01-01 because the data is an annual frequency. |
variable (Categorical) | Variable | Type of expenditure: Total Expenditure on Health (TEH) or Current Expenditure on Health (CEH). |
sector (Categorical) | Sector | Sector of expenditure: total, private, or public. |
expenditure (Float) | Expenditure (RM) | The amount of expenditure in Malaysian Ringgit. |
11 Nov 2024, 00:00
N/A
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.data.gov.my/healthcare/mnha.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=mnha&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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