For those who are interested in mapping the TransUnion credit data, but don't know how, Richard Lau at Community Development Halton has created a tutorial to explain the process.
In addition to mapping the TransUnion data using the PCCF, the tutorial explains how to aggregate the TransUnion data to the Census Tract level. The process is similar for any given areal geography.
Two caveats to aggregating TransUnion data to an areal geographic unit:
1. In the TransUnion datasets, some six-digit Postal Codes are suppressed for confidentiality and data quality reasons. This means that sums might not add up perfectly.
2. We strongly recommend against aggregating outside of urban areas, e.g. rural Dissemination Areas. In rural areas, Postal Codes and Census boundaries don't get along so well.
One point about software: Richard uses Excel and ArcMap, but you could also use LibreOffice and Quantum GIS (both open and free) if you don't have access to proprietary software. If this is all Greek to you, don't hesitate to get in touch.