| --- |
| license: cc0-1.0 |
| task_categories: |
| - tabular-regression |
| - time-series-forecasting |
| tags: |
| - cfpb |
| - consumer-finance |
| - credit-card |
| - complaints |
| - finance |
| pretty_name: Consumer Harm CFPB Summary |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Consumer Harm — CFPB Summary |
|
|
| Aggregated [CFPB Consumer Complaint Database](https://www.consumerfinance.gov/data-research/consumer-complaints/) 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 |
|
|
| ```python |
| 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. |
|
|
