The dataset provides information on drug addicts categorized by their highest level of education. The data is collected by the National Anti-Drugs Agency (NADA) through various treatment and rehabilitation centers across Malaysia. It includes yearly data at both national and state levels.
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The data is compiled annually by the National Anti-Drugs Agency (NADA) from records at various treatment and rehabilitation centers throughout Malaysia. Each entry in the dataset represents the number of drug addicts identified within a given year, categorized by their highest level of education and the state in which they were recorded.
The dataset is based on administrative records from NADA's treatment centers and may not capture all cases of drug addiction within the community. The education level is self-reported by the individuals and may not be verified. Additionally, the data does not account for individuals who may have relapsed or those who have not sought treatment.
The dataset provides information on drug addicts categorized by their highest level of education. The data is collected by the National Anti-Drugs Agency (NADA) through various treatment and rehabilitation centers across Malaysia. It includes yearly data at both national and state levels.
Name in Dataset | Variable | Definition |
|---|---|---|
date | Date | The date representing the year of data collection, formatted as YYYY-MM-DD. |
state | State | The state in Malaysia where the data was collected. It includes individual states and the national level (Malaysia). |
education | Education Level | The highest level of education attained by the drug addicts. Categories include 'none', 'primary', 'pmr', 'spm', 'stpm', 'tertiary', and 'others'. |
addicts | Number of Addicts | The total number of drug addicts recorded for each education level and state. |
31 Dec 2023, 16:00
N/A
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.
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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.data.gov.my/publicsafety/drug_addicts_education.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=drug_addicts_education&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)© 2026 Public Sector Open Data