Annual Neonatal Deaths by State

Data as of 2022

Annual number of deaths of infants less than 28 days old (not including stillbirths), by state.

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Neonatal Deaths

Neonatal Mortality Rate

How is this data produced?

A neonatal death refers to the death of an infant less than 28 days old, not including stillbirths. In short, this data is a subset of the data on deaths. The 'state' reported in this dataset is based on the place of usual residence of the mother of the deceased, not the geographical location in which the deceased passed away. For example, if a neonatal death occurs at a hospital in Kuala Lumpur but the mother of the deceased resides in Selangor, it will be recorded as a neonatal death for Selangor. For a deeper understanding of the methodology and associated definition, please refer to the Technical Notes.

What caveats I should bear in mind when using this data?

This data is derived based on deaths registered with JPN. Therefore, if a neonatal death is not registered with JPN (for instance, if the neonatal death of a foreigner is registered in their home country, or the neonatal death of 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.

Publication(s) using this data

OpenDOSM features a dashboard on Population & Vital Statistics where you can explore this data in a more interactive manner!


Dataset description

Annual number of deaths of infants less than 28 days old (not including stillbirths), by state.

Variable definitions
  • State
  • Date
  • Neonatal Deaths
  • Neonatal Mortality Rate
Last updated:

17 Oct 2023, 12:00

Next update:

17 Oct 2024, 12:00

Data source(s)
  • JPN
  • DOSM

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)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.


Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.



Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = '' 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 = "" response_json = requests.get(url=url).json() pprint.pprint(response_json)