Annual number of births with signs of life upon delivery.
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A live birth is a birth with signs of life upon delivery, even if only for a short while. The data on live births in Malaysia is tabulated based on information reported during the births registration process, specifically in the in Register of Birth Form (JPN.LM01). For a deeper understanding of the methodology and associated definition, please refer to the Technical Notes.
This data is derived based on births registered with JPN. Accordingly, if a birth is not registered with JPN (for instance, if a foreigner chooses to register their child in their home country, or if a resident in a remote area does not register the birth of their child), it will not count in this dataset.
There are two dashboards where you can explore this (and related) data more interactively:
Annual number of births with signs of life upon delivery.
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) | Live Births | Number of live births in that year |
rate (Float) | Crude Birth Rate | Number of live births per 1000 population |
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.
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Vector Graphic (SVG)
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Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
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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/birth.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=births_annual&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Department of Statistics Malaysia
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