Drug Arrests by Sex & Age

Data as of 2023

This dataset provides information on drug-related arrests categorized by sex and age group. It includes data on the type of arrest, whether for possession, supply, or positive urine tests, and is compiled on a yearly basis at the national level.

0 views·0 downloads

How is this data produced?

The dataset is compiled annually and includes data on drug-related arrests at the national level. The data is categorized by sex and age group, and the types of arrests include possession, supply, and positive urine tests. Data is collected from law enforcement records and is intended to provide insights into drug-related offenses across different demographics.

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

The dataset represents annual data and may not reflect real-time changes in drug-related arrest patterns. Additionally, some age groups or sex categories may have small sample sizes, which could affect the reliability of trends over time. Users should exercise caution when interpreting trends from this dataset.

Metadata

Dataset description

This dataset provides information on drug-related arrests categorized by sex and age group. It includes data on the type of arrest, whether for possession, supply, or positive urine tests, and is compiled on a yearly basis at the national level.

Variable definitions
  • Arrest Type
  • Date
  • Sex
  • Age Group
  • 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.

Download

Data
Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.

0

Full Dataset (Parquet)

Full Dataset (Parquet)

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

0

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_age.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_age&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)