Annual number of deaths of women during pregnancy or childbirth.
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This data is derived based on deaths registered with JPN. Therefore, if a maternal death is not registered with JPN (for instance, if a foreign maternal death is registered only in their home country, or a maternal death in a remote area is not registered), it will generally not count in this dataset. However, adjustment has been made to the number of deaths in Sabah to account for the under-reporting of deaths detected based on the 'Study of Under Reporting of Deaths in Sabah', which was conducted by DOSM and approved by the Steering Committee on Implementation of Civil Registration and Vital Statistics in 2016.
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Annual number of deaths of women during pregnancy or childbirth.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 since the data is at annual frequency |
abs (Integer) | Maternal Deaths | Number of maternal deaths in that year |
rate (Float) | Maternal Mortality Rate | Number of maternal deaths per 100,000 live births |
17 Oct 2024, 12:00
01 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.dosm.gov.my/demography/death_maternal.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=deaths_maternal&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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