Key Takeaways
- Total auto loan debt hit $1.61 trillion in Q3 2023, up 2.7% YoY
- Average new auto loan amount $39,500 in Q3 2023
- Auto loan delinquency rate 4.04% in Q2 2023, highest in 9 years
- Total US credit card debt reached $1.08 trillion in Q3 2023, up 4.9% year-over-year
- Average credit card balance per household was $6,501 in 2023, per Experian data
- 47% of cardholders carry a balance month-to-month in 2023, averaging 17% APR interest
- As of Q2 2023, the average FICO Score in the United States was 715, representing a slight increase from previous quarters and indicating improving consumer credit health
- In 2022, 23% of consumers with FICO Scores had scores between 300-579 (poor credit), down from 25% in 2021, per FICO data analysis
- The median VantageScore 3.0 across all US consumers in 2023 was 689, with variations by state showing New York at the highest median of 710
- US household mortgage debt outstanding was $12.25 trillion in Q3 2023
- Average mortgage balance per borrower reached $252,000 in 2023, up 5%
- 30-year fixed mortgage rates averaged 6.81% in 2023
- Total student loan debt $1.60 trillion in Q3 2023, 43 million borrowers
- Average federal student loan debt $38,375 per borrower in 2023
- Student loan delinquency 7.42% post-pandemic in Q3 2023
Auto and credit card debt are rising while delinquencies stay elevated, showing tighter consumer credit conditions.
Related reading
Auto Loans
Auto Loans Interpretation
More related reading
Credit Cards
Credit Cards Interpretation
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Credit Scores
Credit Scores Interpretation
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Mortgages
Mortgages Interpretation
More related reading
Student Loans
Student Loans Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Samuel Norberg. (2026, February 13). Credit Statistics. Gitnux. https://gitnux.org/credit-statistics
Samuel Norberg. "Credit Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/credit-statistics.
Samuel Norberg. 2026. "Credit Statistics." Gitnux. https://gitnux.org/credit-statistics.
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