FDIC Bank Data Guide

Datadory delivers fdic bank data guide data: the complete FDIC catalog in one map - six structured dataset families spanning the BankFind Suite registry, institution financial reports, peer group comparisons, Summary of Deposits, historic bank data and structure-change events - roughly 4,700 active insured institutions plus their full history back to 1934, all joined on the FDIC certificate number, delivered daily, weekly, or hourly.

What is the FDIC Bank Data Guide?

The map before the territory. The FDIC Bank Data Guide is the Federal Deposit Insurance Corporation's curated front door to every structured bank dataset it publishes: BankFind Suite (the searchable institution and branch registry), Institution Financial Reports, Peer Group Comparisons, Summary of Deposits, Historic Bank Data, and Events and Changes - the merger, failure and structure-change record. Together the families span about 4,700 active FDIC-insured institutions plus the entire closed population, because the historic and event families reach back to 1934.

A Quick Reference Table inside the guide maps each product family to the regulatory source reports behind it, so you always know which filing a column descends from - Call Report, Summary of Deposits, or the structural event feeds. As a catalog-wide entry point it anchors the Diversified Banks shelf. Get a sample of this dataset.

What does a sample row look like?

One certificate, seen through three of the six families. Rows exactly as they ship, straight from the indexed products' published samples:

# institution registry - BankFind Suite
NAME     : Zions Bancorporation, N.A.
CERT     : 2270
CITY     : Salt Lake City
STALP    : UT
BKCLASS  : N
ACTIVE   : 1
ASSET    : 87956932
DEP      : 76926168

# branch location - same certificate
NAME     : Zions Bancorporation, N.A.
ADDRESS  : 100 Pine St
CITY     : San Francisco
STALP    : CA
ZIP      : 94111
SERVTYPE : 11
LATITUDE : 37.7926150093752

# quarterly financial report - same certificate
CERT     : 2270
REPDTE   : 20260331
ASSET    : 87956932
DEP      : 76926168
LNLSNET  : 60706991
EQ       : 7295506

Three things worth noticing. First, CERT repeats down every block - that is the spine, unchanged through mergers and renames, and it is what lets one institution's story be assembled across families. Second, money lands in thousands of dollars, so Zions reads as roughly $88 trillion until you divide by a million; parse first, headline later. Third, REPDTE is a quarter-end date in yyyymmdd form, which makes the financial panel trivially alignable across institutions.

What fields does the dataset include?

Thirteen fields carry most of the analytical weight across the six families, verified against the indexed products' published schemas. The dictionary below is the working core; everything else folds under additional fields on request.

What does coverage look like across geography, time and granularity?

Geography - United States: every FDIC-insured institution across the 50 states, DC and the territories. Branch-level records resolve further to street address, city, county, CBSA geography and latitude/longitude, so footprint studies need no second geocoding vendor.

Temporal - current registry plus genuine depth: structure-change and failure events back to 1934, quarterly financial reporting as a continuous panel, and an annual Summary of Deposits series observed back to 1994 on our research pass. The guide page itself carried a Last Updated stamp of January 15, 2026 at time of review.

Granularity - per institution, per branch, or per reporting quarter depending on the family. One row per entity per period, keyed on certificate number - which is precisely what makes the whole catalog joinable.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

Who uses this data, and for what?

  • Competitive landscape mapping - rank every charter holder in a state or metro by assets and deposits, split by charter class, and see where concentration actually sits.
  • Failure archaeology - nearly a century of failure and resolution events feeds loss-severity studies, cycle models and "what happened to them" journalism.
  • Branch network analysis - service-type codes plus geocoded branch points map overserved and oversaturated markets for expansion or closure planning.
  • Deposit market share work - annual Summary of Deposits rolled to branch, county or MSA shows who owns the checking account in a given zip code.
  • Peer benchmarking - asset-size peer groups put any institution's ratios against its true comparables rather than the whole industry.
  • Panel construction - the certificate-number spine lets quant teams merge registry, location and financial panels into one wide institutional table.

Which personas get the most value?

Market researchers and consultants get the authoritative US banking universe, from national totals down to a single branch's coordinate pair. Investors and quant researchers get a clean institutional panel keyed on certificate number, ready to join against pricing or rating sets. Journalists, academics and students cite the regulator's own record of who existed, when it failed and who absorbed it. Developers and data-product builders get flat, documented schemas that drop straight into pipelines. Sales and growth teams selling to banks get the prospect universe segmented by size, class and footprint. Competitive intelligence teams watch a rival's branch count, deposit base and report dates move quarter over quarter.

What should I know before requesting a sample?

Three things worth knowing upfront. First, this record is the index - your sample resolves to actual rows from whichever of the six families you name, so say which: registry, branches, financials, deposits, history or events. Second, monetary values arrive in thousands of dollars, and cells go genuinely missing where a report was never filed; treat nulls as absent, never zero, and divide before comparing against billion-denominated vendor sets. Third, scope is FDIC-insured banks and savings institutions - credit unions live under NCUA and will never appear here. The exact packaging of the historic extract families went unverified on our research pass, so name your preferred shape and vintage when you ask.

Which datasets pair with this one?

All of these and the rest of the catalog sit on the diversified banks data hub; the ranked view lives at best diversified banks datasets.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - thirteen core columns across the six families
fieldtypedefinitionexample
CERTintegerFDIC Certificate number - unique identifier assigned when deposit insurance is granted; the join key that survives mergers, renames and rechartering.2270
NAMEstringLegal institution name as reported to the regulator.Zions Bancorporation, N.A.
BKCLASSenumCharter class: N national, SM state member, NM state nonmember, SB/SA savings institutions, OI insured US branch of a foreign bank.N
ACTIVEintegerStatus flag: 1 open and insured, 0 closed or no longer insured.1
ASSETnumberTotal assets in thousands of dollars, excluding off-balance-sheet accounts.87956932
DEPnumberTotal deposits in thousands of dollars, including demand, money market, savings, time and foreign-office deposits.76926168
EQnumberEquity capital in thousands of dollars: preferred and common stock, surplus and undivided profits.7295506
NETINCnumberNet income in thousands of dollars for the reporting period.13974000
ROAnumberReturn on assets: annualized net income after taxes as a percent of average total assets.1.4389
STALPstringTwo-letter state code of the main office or physical address.UT
SERVTYPEintegerBranch service-type code, e.g. 11 full-service brick and mortar (Location family).11
REPDTEdateReport date of the financial record in yyyymmdd form; a quarter-end.20260331
FAILDATEdateFailure date for records in the Events and Changes family; populated only for failed institutions.05/28/1934

Questions buyers ask

Is the FDIC Bank Data Guide a dataset or a website?

Both roles in one artifact: it is the FDIC's curated discovery layer over six structured dataset families rather than a single table. The rows live inside the families - registry, financial reports, peer groups, deposits, history and events - and the guide tells you which family holds what.

Which six dataset families does it cover?

BankFind Suite (searchable institution and branch registry), Institution Financial Reports, Peer Group Comparisons, Summary of Deposits, Historic Bank Data, and Events and Changes. A Quick Reference Table inside the guide maps each product family to the regulatory source reports behind it.

How far back does the history go?

Structure-change and failure events reach back to 1934; quarterly financial reporting runs as a continuous panel; the annual Summary of Deposits series was observed back to 1994 in our research pass. That depth supports decade-scale trend work, not just current snapshots.

Do the six families share identifiers?

Yes. The FDIC certificate number is the spine - one institution keeps its certificate through mergers, renames and rechartering - supplemented by Federal Reserve RSSD identifiers and LEIs, so registry, branch, deposit and financial-report rows chain together cleanly.

Are credit unions included?

No. The scope is FDIC-insured institutions - commercial banks and savings institutions. Credit unions insure through NCUA and sit outside this catalog entirely, so size the universe accordingly before building.

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