Consumer Finance Data: Complaints, Credit Cycles, Household Wealth and Loan-Level Lending · Head-to-head
CFPB Consumer Complaint Database vs Federal Reserve G.19 Consumer Credit
Which consumer finance data: complaints, credit cycles, household wealth and loan-level lending data fits your job: CFPB Consumer Complaint Database, or Federal Reserve G.19 Consumer Credit. API, files, or your warehouse. Daily, weekly, or hourly.
CFPB Consumer Complaint Database
Federal Reserve G.19 Consumer Credit
Coverage, side by side
| CFPB Consumer Complaint Database | Federal Reserve G.19 Consumer Credit | |
|---|---|---|
| Geographic | United States - consumer mailing `State` and `ZIP code`, truncated or withheld under privacy rules on some records | United States as a single national market; no subnational cut |
| Temporal | Continuous file from December 1, 2011 to present; recent days fill in as companies respond before publication | Unbroken monthly panel since January 1943; rate series begin June 1971; student loan and motor vehicle memo items quarterly only |
What each contains
Pick by fit, not by loyalty.
| CFPB Consumer Complaint Database | Federal Reserve G.19 Consumer Credit | |
|---|---|---|
| Publisher | Consumer Financial Protection Bureau (CFPB) | Board of Governors of the Federal Reserve System |
| Subject | Individual consumer complaints about financial products and services, with company responses | U.S. consumer credit outstanding, flows and terms of credit |
| Observation unit | One row per individual complaint, keyed by `Complaint ID` | Monthly national cells, one per series per month |
| Scope | ~17.24 million complaints indexed as of August 2026, received since December 1, 2011 | 118 series, about 78,000 monthly observations, January 1943 - June 2026 |
| Product view | Consumer-chosen taxonomy: `Product` / `Sub-product` / `Issue` / `Sub-issue` across credit reporting, debt collection, mortgages and more | Supply-side split: revolving vs nonrevolving credit, plus rate series for card plans, 48/60/72-month auto and 24-month personal loans |
| Geography | United States - consumer mailing `State` and `ZIP code`, truncated or withheld under privacy rules on some records | United States as a single national market; no subnational cut |
| Temporal character | Continuous file from December 1, 2011 to present; recent days fill in as companies respond before publication | Unbroken monthly panel since January 1943; rate series begin June 1971; student loan and motor vehicle memo items quarterly only |
| Signature fields | Named `Company`, response outcomes, `Timely response?` flag, cohort `Tags`, opt-in scrubbed narratives | Seasonally adjusted growth series, dollar flows, levels by major holder, bank quotation rates, `OBS_STATUS` revision flags |
| Best for | Company-level conduct screening, cohort-tagged distress studies, text-plus-labels classification | Household-leverage cycles, rate positioning, through-the-cycle calibration over eight decades |
Or take both in one feed
Yes - as micro evidence against a macro frame, which is exactly how consumer-credit research wants them paired.
Aggregate complaint counts by month and by product family - credit cards, consumer loans, credit reporting - then read that friction curve against the G.19's revolving and nonrevolving growth rates and the quoted terms of credit. A thesis gains force when rising card-complaint pressure coincides with card APRs sitting at 20.94% and revolving credit compounding faster than nonrevolving; it weakens fast if the two lenses disagree. Provisioning modelers can calibrate loss parameters on eight decades of G.19 history and use recent complaint cohorts as the high-frequency confirmation layer.
Reconcile on month and product family - the two workable shared keys - and respect three seams. Second, complaint volume reflects consumers' willingness to complain as much as underlying conduct - the publisher's own caution - so treat it as directional evidence, not a census of harm. Third, the ZIP geography on the complaint side is deliberately incomplete and the G.19 has no subnational dimension at all, so any regional claim must rest on the complaint file alone.
Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Is the CFPB Consumer Complaint Database better than the Federal Reserve G.19?
Neither - they answer different questions. For named-company conduct, cohort-tagged grievances and opt-in consumer narratives since 2011, the complaint database wins outright. For household credit outstanding, flows and bank loan rates over eight decades, the G.19 wins. Both score 10 out of 10; sample both and pick by fit.
Which dataset reaches further back in time?
The G.19 by seven decades: monthly observations run from January 1943 through June 2026, with terms-of-credit rate series beginning in June 1971. The complaint database starts December 1, 2011 but compensates with day-level incident timing on roughly 17.24 million individual records.
Do both datasets cover U.S. regions and states?
Only the complaint file does, and only partly: it carries consumer mailing state and ZIP codes, with truncation to three digits or omission where privacy rules apply, and some records lack geography altogether. The G.19 measures the United States as a single national market and publishes no subnational breakdown.
Can complaint counts be compared directly with G.19 credit totals?
Never as one number. A complaint count measures filed events; G.19 figures measure dollars outstanding, dollar flows and percentage growth rates. Compare them directionally - aggregate complaints by month and product family, then read the curve against revolving and nonrevolving growth - and remember the publisher's caution that complaints are not a statistical sample.
Can I get both datasets from Datadory?
Yes - sample each and pick by fit, or take both in one feed. Datadory normalizes the complaint file's record-per-dispute shape and the G.19's series-by-month shape into warehouse-ready tables with their field dictionaries attached, shipped next to the other twenty-two primary records in the consumer finance slice, delivered daily, weekly, or hourly - your call.