Drug Arrests by Sex & Ethnicity

Data as of 2023

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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How is this data produced?

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.

What caveats I should bear in mind when using this data?

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.

Metadata

Dataset description

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.

Variable definitions
  • Arrest Types
  • Date
  • Sex
  • Ethnicity
  • Drug Arrests
Last updated:

31 Dec 2023, 00:00

Next update:

N/A

Data source(s)
  • Royal Malaysia Police
  • Ministry of Home Affairs
License

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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Data
Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.

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Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.

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Code

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)

Sample OpenAPI query

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)