Annual organ donation pledges by the pledger's sex, ethnicity and age group. The table provides a preview of the dataset using the most recent year of data.
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This dataset provides a demographic breakdown of Daily Organ Donation Pledges at annual frequency, disaggregated by the pledger's sex, ethnicity and age group. Age group is the pledger's age at the time of pledging.
The digital organ donation pledge process allows an individual to pledge their organs, and subsequently withdraw their pledge if they so choose. Therefore, the data shown here is dynamic; the number of pledges for a specific year may reduce (but not increase) in future if pledges are withdrawn.
A small number of records with incomplete demographic data are excluded; this affects 0.5% of pledges, so the totals here are slightly below those in Daily Organ Donation Pledges.
KKMNOW features a dashboard on Organ Donation where you can explore the data in a more interactive manner!
Annual organ donation pledges by the pledger's sex, ethnicity and age group. The table provides a preview of the dataset using the most recent year of data.
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 |
sex (Categorical) | Sex | Either male ('male') or female ('female') |
ethnicity (Categorical) | Ethnicity | One of 'bumi_malay', 'bumi_other', 'chinese', 'indian' or 'other' |
age_group (Categorical) | Age Group | The pledger's age at the time of pledging, in ten-year bands from '0-9' to '80+' |
pledges (Integer) | Number of Pledges | Number of pledges received from that group during the year |
21 Sept 2026, 10:00
22 Sept 2026, 10:00
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)
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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.data.gov.my/healthcare/organ_pledge_demog.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=organ_pledge_demog&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)© 2026 Public Sector Open Data