Annual number of deaths aged less than 5 year old by sex, broken down into neonatal and infant deaths.
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This data is a subset of the data on deaths, for which the following definitions should be noted:
For a deeper understanding of the methodology and associated definitions, please refer to the Technical Notes.
This data is derived based on deaths registered with JPN. Therefore, if an early childhood death is not registered with JPN (for instance, if the death of a foreign infant is registered in their home country, or the death of an infant citizen 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.
OpenDOSM features a dashboard on Population & Vital Statistics where you can explore this data in a more interactive manner.
Annual number of deaths aged less than 5 year old by sex, broken down into neonatal and infant deaths.
Name in Dataset | Variable | Definition |
---|---|---|
type (Categorical) | Type | The type of early childhood death, either infant ('infant') or neonatal ('neonatal') |
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 since the data is at annual frequency |
sex (Categorical) | Sex | Either both sexes ('both'), male ('male') or female ('female') |
abs (Integer) | Deaths | Number of deaths in that year |
rate (Float) | Mortality Rate | Number of deaths per 1000 live births (for neonatal and infant deaths) |
17 Oct 2023, 12:00
17 Oct 2024, 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.
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Full Dataset (Parquet)
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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/deaths_early_childhood_sex.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_early_childhood_sex&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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