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Open datasets, fully documented — searchable here, and readable by any LLM.

3 datasets

banks
  • Federal Deposit Insurance Corporation (FDIC) BankFind

    FDIC-insured US banks: quarterly financial health intelligence

    Every active FDIC-insured US bank's latest Call Report quarter (4,313 banks for 2026-Q2 as of 2026-09-25), one row per bank: stable FDIC certificate number, bank name, city/state, charter class, assets/deposits/equity/net income in USD millions (FDIC reports thousands; divided by 1000), equity ratio, ROA, ROE, net interest margin and efficiency ratio in percent, core deposit funding share, closed asset-tier taxonomy (community/regional/large/mega), and a documented 0-100 health score = 100*(0.30*minmax equity_ratio + 0.25*minmax-winsorized ROA + 0.20*minmax-winsorized ROE + 0.15*inverted-minmax efficiency + 0.10*minmax-winsorized NIM) with overall health_rank, within-tier tier_rank and health_percentile, plus low-capital (<8% equity), negative-earnings and high-cost (>75% efficiency) flags. Primary key: cert. Cadence: quarterly; as_of is the quarter-end date, so a re-ingest of the same quarter is a no-op. Caveats: the score is a peer-relative composite, not a CAMELS rating and not investment advice; figures are quarter-end point-in-time and restatements revise history; compare within asset_tier for the fairest peers. commercial_use = yes (U.S. federal public data; attribution to the FDIC required). Sample use: order by tier_rank within asset_tier = 'community' for the healthiest small banks, or filter watch_flag = 1 for banks tripping any risk flag.

    • banks
    • fdic
    • quarterly
    • united-states
    rows
    4,313
    Quality
    100
    Updated
    Sep 25, 2026
    Fresh
    License
    Commercial use OK
  • US Loan-Loss Signals (derived)

    US loan-loss signals (charge-off rates, stress regimes)

    Quarterly US bank loan-loss signals from Federal Reserve Board charge-off rates (via FRED): all-real-estate-loan charge-offs (CORALACBS) and credit-card charge-offs (CORCCACBS), 1991 ->, with quarter-on-quarter and year-on-year change, 30-quarter change volatility, 3-sigma anomaly flags, naive-drift forecasts, 5-year loss z-scores, and elevated / severe loss-regime flags. The realized-losses lens on bank credit quality — the realized damage to delinquency's early warning. Companion to us-bank-credit-cycle-signals (volumes, delinquency) and us-sloos-bank-lending-standards-signals (standards). All rows normalized to country_code USA. Raw series: Board of Governors of the Federal Reserve System via FRED.

    • banks
    • charge-offs
    • loan-losses
    • credit-quality
    rows
    332
    Quality
    99
    Updated
    Sep 22, 2026
    Fresh
    License
    Commercial use OK
  • US Bank Lending Standards Signals (derived)

    US bank lending standards signals (SLOOS tightening, credit conditions)

    Quarterly US credit-conditions signals derived from FRED's Senior Loan Officer Opinion Survey (SLOOS): net percentages of banks tightening lending standards for C&I loans, with quarter-on-quarter and year-on-year changes in percentage points, 30-quarter annualized change volatility, 1-quarter momentum, 3-sigma anomaly flags vs a trailing 12-quarter baseline, naive-drift 1-quarter forecasts, a per-quarter cross-series volatility rank, tightening regime flags with 4-year z-scores, and the large-firm minus small-firm tightening spread (the flight-to-quality gauge). All rows are normalized to country_code USA so they join cleanly with US macro data. Raw series: Federal Reserve Bank of St. Louis (FRED); underlying survey: Board of Governors of the Federal Reserve System.

    • lending-standards
    • sloos
    • credit-conditions
    • banks
    rows
    292
    Quality
    99
    Updated
    Sep 22, 2026
    Fresh
    License
    Commercial use OK

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