Annual infant immunisation coverage rates at national level.
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This data is derived by comparing aggregate records showing the number of infants immunised against each disease against official population estimates from the Department of Statistics Malaysia.
Coverage data for measles after 2015 is not provided as Malaysia transitioned fully to vaccination against MMR (measles, mumps, rubella). The declining coverage against measles should therefore be interpreted together with the rising coverage for MMR in order to obtain a holistic picture, rather than as a decline in measles coverage. Furthermore, because the coverage rates are derived from aggregated data rather than individual records indexed by birth certificate number, coverage rates may exceed 100% if the number of infants immunised is greater than the official population estimates.
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Annual infant immunisation coverage rates at national level.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The year of the immunisation data in YYYY-MM-DD format, with MM-DD set to 01-01 because the data is annual. |
disease (Categorical) | Disease | The disease for which immunisation coverage is reported, such as measles, MMR, DPT, Hepatitis B, or polio. |
rate (Float) | Coverage Rate (%) | The immunisation coverage rate as a percentage. |
20 Nov 2024, 12:00
30 Nov 2025, 12:00
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)
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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/infant_immunisation.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=infant_immunisation&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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