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Collection: Data on inhalant abusers arrested

Dataset: Data on Inhalant Abusers Arrested (By Sex)

Social

Data on Inhalant Abusers Arrested (By Sex)

Data from Jan 2003 to Dec 2024

Last updated: 01 Aug 2025, 15:08 SGT

CNB (Central Narcotics Bureau)

Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
dataset_id = "d_9ced8376868d18b9cd53a3a0a806d318"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Central Narcotics Bureau. (2015). Data on Inhalant Abusers Arrested (By Sex) (2025) [Dataset]. data.gov.sg. Retrieved December 13, 2025 from https://data.gov.sg/datasets/d_9ced8376868d18b9cd53a3a0a806d318/view

About this dataset

Contact

chiam_pei_san@cnb.gov.sg kelvin_foo@cnb.gov.sg

Created on

21 May 2015

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

CNB (Central Narcotics Bureau)

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Social

Data on Inhalant Abusers Arrested (By Sex)

Data from Jan 2003 to Dec 2024

Last updated: 01 Aug 2025, 15:08 SGT

CNB (Central Narcotics Bureau)

‌

Data explorer

DataonInhalantAbusersArrestedBySex.csv (88 rows, 1.8 KB)

Year Year (YYYY)	Status Text	Sex Text	No. Of Inhalant Abusers Arrested Text
(Null)0.0%	(Null)0.0% New50.0% Total50.0%	(Null)0.0% Male50.0% Female50.0%	(Null)0.0%
2003	Total	Male	111
2004	Total	Male	155
2005	Total	Male	102
2006	Total	Male	313
2007	Total	Male	525
2008	Total	Male	469
2009	Total	Male	446
2010	Total	Male	361
2011	Total	Male	124
2012	Total	Male	91

Column legend

Title	Column name	Data type	Unit of measure	Description
Year	year	Year (YYYY)	-	-
Status	status	Text	-	-
Sex	sex	Text	-	-
No. Of Inhalant Abusers Arrested	no_of_inhalant_abusers_arrested	Text	-	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_9ced8376868d18b9cd53a3a0a806d318
2. Click on the button below