Hospital Beds by State and Hospital Type
Data as of 31 Dec 2022, 23:59Number of public sector hospital beds at national, state, and district level, with a breakdown by hospital type.
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How is this data produced?
This dataset is tabulated from the operational hospital-level records maintained by the Health Informatics Centre (PIK) of the Ministry of Health. The data reflects the number of active hospital beds as at 31 December each year.
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Metadata
Dataset description
Number of public sector hospital beds at national, state, and district level, with a breakdown by hospital type.
Variable definitions
- Date
- State
- District
- Hospital Type
- Number of Beds
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | Date in YYYY-MM-DD format, with MM-DD set to 01-01 as the data is at annual frequency |
state (Categorical) | State | One of 16 states, or Malaysia for national-level data |
district (Categorical) | District | One of 160 administrative districts, or 'All Districts' for state-level data |
type (Categorical) | Hospital Type | Either an MoH-administered hospital ('hospital_moh'), MoH-administered special medical institution ('special_medical_institution'), or non-MoH hospital ('hospital_non_moh'). Special medical institutions refer to institutions with a specific focus, such as on cancer, heart disease, etc. Non-MoH hospitals refer to government hospitals under the purview of other agencies, such as army hospitals. |
beds (Integer) | Number of Beds | Number of hospital beds |
Last updated:
01 Sept 2024, 12:00
Next update:
N/A
Data source(s)
- Ministry of Health Malaysia
URLs to dataset
License
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.
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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/hospital_beds.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
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=hospital_beds&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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