Annual number of deaths aged 1-4 years old.
0 views·0 downloads
A toddler death refers to the death of a person aged 1-4 years old. In short, this data is a subset of the data on deaths. For a deeper understanding of the methodology and associated definition, please refer to the Technical Notes.
This data is derived based on deaths registered with JPN. Therefore, if an toddler death is not registered with JPN (for instance, if a foreign toddler death is registered only in their home country, or a toddler 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.
OpenDOSM features a dashboard on Population & Vital Statistics where you can explore this data in a more interactive manner!
Annual number of deaths aged 1-4 years old.
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) | Toddler Deaths | Number of toddler deaths in that year |
rate (Float) | Toddler Mortality Rate | Number of toddler deaths per 1000 population aged 1-4 years old |
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.
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
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_toddler.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_toddler&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Department of Statistics Malaysia
© 2024 Public Sector Open Data
Open Data
data.gov.my