This dataset provides information on drug-related arrests in Malaysia, categorized by sex and ethnicity. It includes annual data on various types of drug arrests, offering insights into demographic trends in drug-related offenses.
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The dataset compiles annual records of drug-related arrests in Malaysia, categorized by sex and ethnicity. The data is collected from law enforcement agencies and reflects arrests made throughout the year. Arrest types include possession, supply, and positive urine tests for drugs. The data is aggregated to provide national-level insights into drug arrest trends.
The dataset represents aggregated annual data and may not capture all nuances of individual cases. Rounding may cause slight discrepancies in totals. Data accuracy depends on reporting by law enforcement agencies.
This dataset provides information on drug-related arrests in Malaysia, categorized by sex and ethnicity. It includes annual data on various types of drug arrests, offering insights into demographic trends in drug-related offenses.
Name in Dataset | Variable | Definition |
|---|---|---|
arrest_types | Arrest Types | The type of drug-related arrest, such as possession, supply, or positive urine test. |
date | Date | The date of the data entry, formatted as YYYY-MM-DD, representing the year of record. |
sex | Sex | The sex of individuals involved in drug arrests, categorized as male, female, or both. |
ethnicity | Ethnicity | The ethnicity of individuals involved in drug arrests, including categories such as Malay, Chinese, Indian, non-citizens, and others. |
drug_arrests | Drug Arrests | The number of drug-related arrests recorded for the specified category. |
31 Dec 2023, 00:00
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)
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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_arrests_ethnicity.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_arrests_ethnicity&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)© 2026 Public Sector Open Data