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Collection: CCCS Case and Complaint Statistics

Dataset: Consumer Protection Case Statistics

Economy

Consumer Protection Case Statistics

Data from Apr 2011 to Jun 2021

Last updated: 06 Jun 2024, 14:47 SGT

CCCS (Competition and Consumer Commission of Singapore)

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_8db1495663aea51b87e55d2103fcf001"
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.

Competition and Consumer Commission of Singapore. (2021). Consumer Protection Case Statistics (2024) [Dataset]. data.gov.sg. Retrieved May 14, 2026 from https://data.gov.sg/datasets/d_8db1495663aea51b87e55d2103fcf001/view

About this dataset

Contact

CHUA_Seow_How@cccs.gov.sg

Created on

23 Aug 2021

Licence

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

Agency

CCCS (Competition and Consumer Commission of Singapore)

‌

Economy

Consumer Protection Case Statistics

Data from Apr 2011 to Jun 2021

Last updated: 06 Jun 2024, 14:47 SGT

CCCS (Competition and Consumer Commission of Singapore)

‌

Data explorer

ConsumerProtectionCaseStatistics.csv (12 rows, 303 B)

Case type Text	No completed cases Numeric	Financial year Financial Year (YYYY)
(Null)0.0%	(Null)0.0%	(Null)0.0%
preliminary enquiry	1	2021
preliminary enquiry	3	2020
preliminary enquiry	24	2019
preliminary enquiry	13	2018
investigation	1	2021
investigation	3	2020
investigation	11	2019
investigation	0	2018
advisory	0	2021
advisory	1	2020

Column legend

Title	Column name	Data type	Unit of measure	Description
Case type	case_type	Text	-	-
No completed cases	no_completed_cases	Numeric	Number	-
Financial year	financial_year	Financial Year (YYYY)	-	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_8db1495663aea51b87e55d2103fcf001
2. Click on the button below