SDG 16-1-1: Victims of Intentional Homicide

Data as of 2022

Number of victims of intentional homicide per 100,000 population by sex, as per the specifications of SDG Indicator 16-1-1.

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How is this data produced?

This dataset is produced based on the individual-level administrative records collected by the Royal Malaysia Police (PDRM), which is the single source of truth for data on crimes in Malaysia. Besides for operational purposes, this data is reported as part of Malaysia's monitoring of the Sustainable Development Goals (SDGs), in line with the most recent SDG Global Indicator Framework.

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

The data is subject to revision in future updates.

Publication(s) using this data

Metadata

Dataset description

Number of victims of intentional homicide per 100,000 population by sex, as per the specifications of SDG Indicator 16-1-1.

Variable definitions
  • State
  • Date
  • Sex
  • Victims per 100,000 Population
Last updated:

01 Sept 2024, 12:00

Next update:

N/A

Data source(s)
  • PDRM
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)

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Full Dataset (Parquet)

Full Dataset (Parquet)

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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.dosm.gov.my/sdg/sdg_16-1-1.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=sdg_16-1-1&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
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Department of Statistics Malaysia

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