Diversified Financial Services Data Provider · Head-to-head
SEC EDGAR Full-Text Search API (EFTS) vs FDIC Bank Data & Statistics
Which diversified financial services data provider data fits your job: SEC EDGAR Full-Text Search API, or FDIC Bank Data & Statistics. API, files, or your warehouse. Daily, weekly, or hourly.
SEC EDGAR Full-Text Search API (EFTS)
FDIC Bank Data & Statistics
Coverage, side by side
| SEC EDGAR Full-Text Search API | FDIC Bank Data & Statistics | |
|---|---|---|
| Geographic | All domestic and foreign private issuers filing with the SEC (US-regulated markets) | United States - all states and territories; branch records add CBSA/CSA and county geography with latitude/longitude |
| Temporal | Full text of all electronically filed EDGAR submissions from 2001 to present | Current registry plus historical financials; Summary of Deposits observed back to 1994; failures back to 1934 |
| Granularity | One indexed record per document or exhibit within each filing submission | Institution level, branch level (Location and SOD), and annual/quarterly report level |
What each contains
They tie on 1 attribute. Pick by fit, not by loyalty.
| SEC EDGAR Full-Text Search API | FDIC Bank Data & Statistics | |
|---|---|---|
| Geography | All domestic and foreign private issuers filing with the SEC (US-regulated markets) | United States - all states and territories; branch records add CBSA/CSA and county geography with latitude/longitude |
| Temporal reach | Full text of all electronically filed EDGAR submissions from 2001 to present | Current registry plus historical financials; Summary of Deposits observed back to 1994; failures back to 1934 |
| Granularity | One indexed record per document or exhibit within each filing submission | Institution level, branch level (Location and SOD), and annual/quarterly report level |
| Scale | Tens of millions of indexed documents across ~2M+ filings per year | ~4,000 active insured institutions; 4,115 failure records; 2.8M+ Summary of Deposits branch-year rows |
| Field dictionary | 18 documented fields per hit, definitions verified | 38 documented fields across eight linked datasets, definitions verified |
| Formats delivered | JSON | JSON, CSV, published schema files and report templates |
| Delivery cadence | Daily, weekly, or hourly - your call | Daily, weekly, or hourly - your call |
| Verification rating | 10 out of 10 | 9 out of 10 |
| Best for | Finding what issuers said, and where they said it | Measuring who the banks are, and how big |
Or take both in one feed
They stack into a disclosure-plus-depository workflow, joined by nothing fancier than the entity name. Start in the text index: identify which holding companies filed what, pull accession numbers and document identifiers. Then anchor each filer on the depository side, where CERT, FED_RSSD, UNINUM and LEI tie a name like ALLY FINANCIAL INC to its chartered bank's balance sheet, branch network and deposit totals. One side explains what a financial group disclosed; the other quantifies the insured institutions beneath it.
Two practical notes from the records. There is no shared key between them - the SEC identifiers and the FDIC identifiers never meet in one row - so expect to map names to certificates yourself. And expect a many-to-one shape: a single holding company produces thousands of document hits against exactly one registry row, so aggregate the disclosure side before joining. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Do EDGAR full-text search and FDIC Bank Data & Statistics cover the same ground?
Barely, and only at the edges. Both observe regulated US financial institutions through their regulator's lens, and both can be filtered by industry code or state. But their subjects differ: a document inside a filing submission versus an insured institution, branch or reporting period. No field name appears in both dictionaries.
Which one covers more entities?
Different populations entirely. EFTS spans all domestic and foreign private issuers filing with the SEC - roughly two million submissions a year across every industry, tens of millions of indexed documents. The FDIC registry is smaller and deeper on its own subject: about 4,000 active insured institutions plus closed ones, their branches, and 2.8M+ branch-year deposit rows.
Which goes back further in time?
The FDIC failure ledger, decisively: failure records reach back to 1934, and the Summary of Deposits index was observed back to 1994. EFTS starts at 2001, the year electronic filing became mandatory - but within that window it keeps everything, filing bodies and exhibits included.
Can I join EDGAR filings to FDIC bank records?
Yes, by name rather than by key. The FDIC side carries NAMEHCR holding-company names alongside CERT, FED_RSSD, UNINUM and LEI identifiers, while EDGAR hits carry CIKs and display names - so ALLY FINANCIAL INC found in filing metadata maps to its chartered bank's balance sheet and branch network. Expect to maintain that mapping yourself; neither dictionary ships the bridge.
Which one should a risk team sample first?
Sample both, pick by fit. Teams watching counterparty disclosures and servicer agreements start with the text index; teams measuring deposit concentration, market share or failure exposure start with the registry. Shops doing both usually keep both in rotation.