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Credit and Charge Card Statistics, Annual

Data from Jan 1989 to Dec 2014Updated 4 months ago

MAS (Monetary Authority of Singapore)

Chart (Total billings)

Data explorer

CreditandChargeCardStatisticsAnnual.csv (26 rows, 1.2 KB)

Year
Datetime (Year) "YYYY"
Cards - Main
Numeric (General)
Cards - Supplementary
Numeric (General)
Total Billings
Numeric (General)
Rollover Balance
Numeric (General)
Bad Debts Written Off
Numeric (General)
Charge Off Rates
Numeric (Percentage)
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
19894186342131031971.4178.19.610.6
19905343462763622715.6294.911.54.9
19916836203261863381.643320.15.7
19927161963464153944.8537.8245
19938380294176134605.9622.424.94.3
19949643594856655475.6705.321.63.3
199510594085364086152.8825.519.82.6
199611171315773946985.9893.6242.8
199712411046263547915.11035.331.63.4
199813690896815087689.11113.453.65

Column legend

Title
Column name
Data type
Unit of measure
Description
YearyearDatetime (Year) "YYYY"--
Cards - Maincards_mainNumeric (General)No. of Cards-
Cards - Supplementarycards_supplementaryNumeric (General)No. of Cards-
Total Billingstotal_billingsNumeric (General)S$ Million-
Rollover Balancerollover_balanceNumeric (General)S$ Million-
Bad Debts Written Offbad_debts_written_offNumeric (General)S$ Million-
Charge Off Ratescharge_off_ratesNumeric (Percentage)--

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
          
datasetId = "d_7a747bbf23166674020989ce7af0e72e"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + datasetId 
        
response = requests.get(url)
print(response.json())

About this dataset

Contact

feedback@data.gov.sg

Created on

19 Oct 2015

Licence

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

Agency

MAS (Monetary Authority of Singapore)

Dataset usage

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17
Downloads
22
API calls