NCIF’s Qualitative Impact Data

Model Framework

While quantitative data is extremely useful for establishing objective benchmarks and thresholds, qualitative analysis allows us to get past the numbers and understand the individual mission at the heart of each institution, taking into account the distinctive qualities and anecdotes not captured by data. NCIF created this framework in order to give banks an opportunity to describe their unique stories:

  1. Market Need: Does the bank serve a community with high poverty and unemployment rates, or one that is underserved by mainstream banks?
  2. Credit Products and Services: How does the bank tailor small business loans or small-dollar loans, for example, to meet the specific needs of its borrowers?
  3. Non-Credit Financial Products: How does the bank encourage saving and build relationships with the underbanked? How does it serve as a responsible alternative to check-cashers?
  4. Non-Financial Products and Services: Does the bank offer financial education and entrepreneurial training? How does it facilitate community development activities?
  5. Partnerships: How does the bank work with local nonprofits, government agencies, or affiliates to achieve its mission in the community?

See qualitative information from our partners in the NCIF Network and learn about our annual impact publication, the Development Impact Dashboards.

All information is based on annual HMDA data (ffiec.gov), Census data, and annual Summary of Deposits data (fdic.gov), and Statistics on Depository Institutions (fdic.gov) as well as private reporting from banks where appropriate. DLI-HMDA and DDI are as of 2013. Financial data is as of 12/31/2014. All information is gathered from or calculated using publicly available data. NCIF is not responsible for any inaccuracy.