datamatters24/consumer-harm-cfpb-summary

Consumer Harm — CFPB Summary

Aggregated CFPB Consumer Complaint Database summaries for the Consumer Harm story dashboard (credit cards: relief vs. the void).

Study windows (fixed calendar)

Window	Range
Study	2011-01-01 → 2024-12-31
Early comparison	2011–2017
Recent comparison	2018–2024

About 7.2 million complaints fall in the study window (built from the full CFPB bulk CSV).

Contents

File	Description
cfpb_summary.db	Complete SQLite aggregate DB (~4 MB)
SOURCE.txt	Download provenance notes (when present)

Tables in cfpb_summary.db

Table	Rows
channel_by_product	112
credit_card_companies	1,107
credit_card_company_monthly	13,456
credit_card_issue_monthly	3,778
credit_card_issue_response	299
credit_card_issues	58
credit_card_monthly	157
credit_card_states	64
credit_card_subissue_monthly	7,745
credit_card_subissues	124
credit_card_subproducts	8
credit_card_theme_monthly	878
meta	11
product_monthly	1,458
product_stats	21
response_by_product	108

Build meta

{'study_start': '2011-01-01', 'study_end': '2024-12-31', 'early_end': '2017-12-31', 'recent_start': '2018-01-01', 'study_label': '2011–2024', 'early_label': '2011–2017', 'recent_label': '2018–2024', 'period_mode': 'fixed_calendar', 'built_at': '2026-07-25T17:32:35.644409', 'total_complaints': '7231945', 'source_csv': '/home/grimdolf/opportunity_harm/cfpb/extracted/complaints.csv'}

What is not included

The raw ~8 GB complaints.csv is omitted — download from CFPB. This dataset is the analysis-ready summary used in production.

Live demo

• Landing: https://consumer-harm.vercel.app
• Dashboard: https://consumer-harm-production.up.railway.app
• Code: https://github.com/tedrubin80/consumer-harm

Load example

import sqlite3
import pandas as pd

conn = sqlite3.connect("cfpb_summary.db")
products = pd.read_sql("SELECT * FROM product_stats", conn)
cc = pd.read_sql("SELECT * FROM credit_card_companies ORDER BY complaints DESC LIMIT 20", conn)

License

Aggregates packaged as CC0. Underlying CFPB data remains subject to CFPB terms of use.