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Data for the CFPB's consumer credit trends visualizations

Home Page: http://www.consumerfinance.gov/data-research/consumer-credit-trends/

HTML 2.01% Python 97.99%

consumer-credit-trends-data's Introduction

Consumer Credit Trends

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This site displays graphs for several consumer credit markets:

  • Auto loans
  • Credit cards
  • Mortgages
  • Student loans

For each market, credit information includes:

  • Market summaries for volume, value, and geographic changes
  • Lending levels by certain demographic breakdowns
    • Borrower risk profile (credit score)
    • Neighborhood income level
    • Borrower age
  • Inquiry activity
    • Credit inquiries
    • Credit tightness

What's in this repository

Data files

Data is organized into per-market folders. Provided data files include:

Python files

The Python 2 based script processes raw data from our Office of Research into the output data files contained in this repo. These raw data files are internal-only and are anonymized summaries produced by the Consumer Credit Panel.

  • process_incoming_data.py - Overall processing script
  • process_globals.py - Configuration settings for data processing
  • process_utils.py - Reusable utility functions, e.g. number/date conversions and reading/writing data/csv/json files

Data schema

Markets by folder or filename suffix

Data is organized into per-market folders. The suffix of each file indicates the credit market.

Market Folder File Suffix
Auto loans auto-loans AUT
Credit card credit-cards CRC
Mortgages mortgages MTG
Student loans student-loans STU

Types of data by filename prefix

The prefix of each file indicates type of aggregate data. This table lists these prefixes alphabetically.

File Prefix Description
crt_ Number of consumers who applied for credit each month and did not obtain additional credit
Values are indexed to January 2009
inq_ Number of consumers with credit inquiries
Values are indexed to January 2009
map_data_ Geographic map data containing year-over-year changes for each U.S. state
num_data_ Number of new loan originations
vol_data_ Loan volume in dollars
volume_data_Age_Group_ Loan volume in dollars, broken out by the borrower's age group demographics
volume_data_yoy_data_Income_Level_ Loan volume in dollars, broken out by the borrower's income level relative to their neighborhood's income level
volume_data_Score_Level_ Loan volume in dollars, broken out by the borrower's credit score group
yoy_data_all_ Year-over-year percentage change in new loan originations
yoy_data_Age_Group_ Year-over-year percentage change in new loan originations, broken out by the borrower's age group demographics
yoy_data_Income_Level_ Year-over-year percentage change in new loan originations, broken out by the borrower's income level relative to their neighborhood's income level
yoy_data_Score_Level_ Year-over-year percentage change in new loan originations, broken out by the borrower's credit score group

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