Drug Addicts by State & Age Group
Data as of 2023This dataset provides yearly statistics on the number of drug addicts in Malaysia, broken down by state and age group. It offers insights into the demographic distribution of drug addiction across different regions and age categories in the country.
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How is this data produced?
The data is collected annually from national and state-level reports on drug addiction. The age groups are categorized into specific ranges to facilitate a detailed analysis of the demographic distribution of addicts. The dataset includes data from all Malaysian states and territories.
What caveats I should bear in mind when using this data?
The dataset may not account for unreported cases of drug addiction. Additionally, the age group labeled 'total' includes all age categories, which might lead to discrepancies if summed with other specific age groups.
Metadata
Dataset description
This dataset provides yearly statistics on the number of drug addicts in Malaysia, broken down by state and age group. It offers insights into the demographic distribution of drug addiction across different regions and age categories in the country.
Variable definitions
- Date
- State
- Age Group
- Number of Addicts
Name in Dataset | Variable | Definition |
|---|---|---|
date | Date | The date on which the data was recorded, in YYYY-MM-DD format. |
state | State | The state in Malaysia where the data on drug addiction was recorded. Includes all states and federal territories. |
age_group | Age Group | The age group of the drug addicts, categorized into specific ranges such as 16-19, 20-24, etc. |
addicts | Number of Addicts | The number of drug addicts recorded for the specified state and age group. |
Last updated:
31 Dec 2023, 00:00
Next update:
N/A
Data source(s)
- National Anti-Drugs Agency
- Ministry of Home Affairs
URLs to dataset
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)
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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_addicts_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_addicts_age&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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