Number of victims of human trafficking per 100,000 population by sex, age, and form of exploitation, as per the specifications of SDG Indicator 16-2-2.
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This dataset is produced based on ground-level surveillance coordinated by the Council for Anti-Trafficking in Persons and Anti-Smuggling of Migrants, which is tasked with implementing and coordinating national security policies and programmes on the aspects of trafficking in persons and smuggling of migrants. 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.
The data is subject to revision in future updates.
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Number of victims of human trafficking per 100,000 population by sex, age, and form of exploitation, as per the specifications of SDG Indicator 16-2-2.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 as the data is at annual frequency. |
type (Categorical) | Type of Exploitation | All forms of trafficking ('all'), human trafficking for forced labour, servitude and slavery ('forced_labour'), or human trafficking for sexual exploitation ('sexual_exploitation') |
sex (Categorical) | Sex | Either both sexes ('both'), male ('male') or female ('female') |
age (Categorical) | Age Group | Either all ages ('all'), individuals less than 18 years old ('18_below'), or individuals aged 18 and above ('18_and_above') |
value (Float) | Victims per 100,000 Population | The number of victims of human trafficking per 100,000 population of that sex and age group |
01 Sept 2024, 12:00
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.dosm.gov.my/sdg/sdg_16-2-2.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=sdg_16-2-2&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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