US Bank Locations — Bank & Branch Directory
Datadory delivers diversified banks data covering the US bank and branch universe: roughly **4,700 banks** and tens of thousands of individual branches, each with street address, city, state, ZIP, county and phone; office type and established dates; FDIC certificate numbers that join cleanly onto regulator datasets; charter class and holding company; deposit totals at both institution level ($2.8 trillion at the top of the table) and branch level ($88 million in one Garland, Texas example); plus national rankings by branches, assets, deposits, employees, net income, ROA and ROE. **[Get a sample of this dataset](/datasets/diversified-banks/us-bank-locations-bank-branch-directory)** and we will return bank pages and branch rows cut to the markets you name.
What is the US Bank Locations — Bank & Branch Directory?
The physical footprint of American banking, reduced to rows. This is a commercial directory covering the US bank universe and their branch networks: roughly 4,700 banks and tens of thousands of individual branch pages beneath them - JPMorgan Chase alone carries 5,156. Every bank page exposes registry facts (status, FDIC certificate number, charter class, holding company, established date), headline financials with national rank attached (# of Branches 5156 ranked #1; Total Assets $4.0T; Total Deposits $2.8T), a full Call Report-style financial section from assets and liabilities through derivatives and fiduciary items, and trend views for assets, deposits, equity, net income, ROA and ROE.
The branch layer is where it gets rare. Each branch carries office type, street address, city, state, ZIP and county, phone, its own deposit total, FDIC cert and established date - so deposit share can be computed at the level where customers actually stand. Around the core sit banks-by-state indexes and national ranking tables across branches, assets, deposits, employees, net income, ROA and ROE, plus routing-number lookup.
Datadory hands over the full sweep as a maintained feed: Get a sample of this dataset and we will return bank pages and branch rows shaped exactly like the dictionary below, for the states or metros you name.
What do bank and branch rows look like?
Two levels, one join key. The institution slice is flat and keyed on the FDIC certificate:
# Institution row
name : JPMorgan Chase Bank
fdic_cert : #628
holding_company : JPMORGAN CHASE&CO
#_of_branches : 5156, ranked #1
total_assets : $4,016,571,000,000
total_deposits : $2,787,994,000,000
# Branch row
name : JPMorgan Chase Bank, 1 30 AND BROADWAY BRANCH
type : Full Service Brick and Mortar Office
location : 561 W Interstate 30, Garland, TX 75043
county : Dallas County
phone : 972-303-3960
branch_deposit : $88,221,000
established : 04/14/2008Those two rows already answer questions competitors estimate: the country's largest bank operates 5,156 offices, and a single suburban Texas branch holds $88 million of them. Group branch_deposit by county and you have deposit market share by neighborhood; filter established and you have the age profile of any rival's network. The same shape holds whether the rows land as an API response, flat files, or a table in your warehouse.
What fields does the field dictionary define?
Twelve spine fields, definitions verified against live records - the keys and measures that make a directory navigable rather than a wall of address strings.
Additional fields on request: charter-class detail beyond the headline classification, concentration measures on the bank page, FDIC insurance date, institution website, routing numbers via the lookup tables, and the deeper Call Report-style financial sections (securities, loans and leases, derivatives, past due and nonaccrual assets, fiduciary items, income statement lines). Deeper columns are confirmed against live records when we prepare your sample - which is also where column naming gets locked down for your pipeline.
Where does coverage run, and at what grain?
Three chips summarize the footprint:
- Geography: United States, all fifty states plus DC, with state-level index pages over the whole directory - so a branch map of any metro area is a filter, not a project.
- Time frame: a current snapshot reflecting the latest available regulatory filings (financial figures carry an 'and older' label back to the most recent quarter-end), while each record's established date and structural history reach back decades - the oldest branches in the directory predate living memory.
- Granularity: two tiers that stack cleanly. One row per institution with its financials and ranks; one row per physical branch with location, contact and branch-level deposits. The FDIC cert joins the two.
Set against the wider Datadory catalog - where the average quality score across all 1,744 datasets is 7.81 - this slice scores 6/10, held up by verified field definitions and branch-level deposit granularity no regulator summary publishes, capped by a current-state emphasis rather than a deep historical archive.
How is the data delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
You pick the channel and the cadence; the field dictionary above travels unchanged across all three. Files suit analysts who want the full directory loaded once and joined to their own macro tables; structured payloads suit products that surface a nearest-branch result inside an app; warehouse delivery suits teams running system-wide footprint screens in SQL. Cadence changes are a settings conversation, not a re-integration project - tighten it while a market entry is live, relax it when it is not.
Who uses this data, and for what?
Ranked by how directly the directory answers their day job:
- Competitive intelligence & product teams. Count every rival's offices by county, watch a footprint expand or contract branch by branch, and price a market entry against the deposit base already sitting in each ZIP code.
- Market researchers & consultants. Deposit-weighted branch density by metro and county turns "is this market saturated?" into a computed column instead of a guess.
- Sales & growth teams. Branch lists double as account lists: every office has a phone number and a location, which makes territory planning concrete.
- Investors & quants. Branch counts and deposit totals per office feed footprint-efficiency screens - deposits per branch by chain, ranked nationally.
- Operations & field teams. Site selection, ATM placement and courier routing all start from the same address-and-deposit table everyone else underuses.
- Journalists & academics. Consolidation stories get receipts: established dates and branch counts make "banks are leaving rural counties" verifiable rather than anecdotal.
For contrast inside the same industry: FDIC BankFind Suite API owns the supervisory registry and geocoded branch locations, while the FDIC Quarterly Banking Profile aggregates industry earnings - neither hands you branch-level deposit totals keyed to a street address.
What should I know before requesting a sample?
Three things worth knowing upfront. First, money fields arrive exactly as published - dollar amounts with commas and rank suffixes attached - so the typed, parsed version is part of what Datadory ships, and nobody re-derives a parser mid-project. Second, the financial figures reflect the most recent quarter-end reported; trend work should anchor on completed quarters rather than partial ones. Third, the directory moves: branches open, close and rebrand continuously, so counts differ slightly between pulls taken weeks apart - pin a snapshot date if a report will be re-run later. None of that changes the join key: the FDIC certificate number stays stable across all of it.
Which notes pair with this dataset?
Notes that pair well with this page:
- Diversified banks data hub - the full pooled view of the industry, from supervisory registries to cross-border banking statistics.
- BankFind Suite API vs SEC EDGAR XBRL - supervisory registry data against issuer-filed GAAP facts, two lenses on the same banks this directory maps physically.
- Best diversified banks datasets - the ranked shortlist this slice sits on.
- Persona pages - what competitive-intel, market-research and sales teams each build on this slice, industry by industry.
US Bank & Branch Directory field dictionary: core fields, types, definitions and examples from live records
| Field | Type | Definition | Example |
|---|---|---|---|
| Name | string | Bank or branch name exactly as listed in the directory. | JPMorgan Chase Bank, 1 30 AND BROADWAY BRANCH |
| Status | enum | Institution status flag separating active charters from closed or merged ones. | Active |
| FDIC Cert | integer | FDIC certificate number; the join key to regulator datasets, shared by a bank and all of its branches. | #628 |
| Charter Class | string | Charter classification, e.g. national banks that are members of the Federal Reserve System. | National Banks, member of the Federal Reserve System (FRS) |
| Holden By | string | Holding company that owns the charter. | JPMORGAN CHASE&CO |
| # of Branches | integer | Branch count with national rank context. | 5156, ranked #1 |
| Total Assets | number | Total assets in USD with rank. | $4,016,571,000,000 |
| Total Deposits | number | Total deposits in USD with rank. | $2,787,994,000,000 |
| Branch Deposit | number | Deposits reported at the individual branch level - the field deposit-share models are built from. | $88,221,000 |
| Location | string | Street address, city, state, ZIP and county of the office. | 561 W Interstate 30, Garland, TX 75043 · Dallas County |
| Phone | string | Branch telephone number. | 972-303-3960 |
| Established | date | Date the institution or branch was established. | 04/14/2008 |
Questions buyers ask
How many banks and branches does the directory cover?
Roughly 4,700 banks with tens of thousands of individual branch pages beneath them. JPMorgan Chase alone accounts for 5,156 branch records, and the directory indexes every state plus DC with state-level listing pages.
Does it really carry deposits at the branch level?
Yes - each branch page reports its own deposit total alongside address, phone and established date. One Garland, Texas JPMorgan branch shows $88,221,000, which is the kind of figure deposit-market-share models are built from.
Can I match these records to other banking datasets?
The FDIC certificate number is the join key. It ties directory rows onto regulator registries, quarterly financial panels and failure histories without fuzzy name matching - one cert covers a bank and all of its branches.
How far back does the history go?
Financials are presented as a current snapshot reflecting the latest available regulatory filings, but each record carries its own structural history: established dates on both banks and branches reach back decades, and status flags separate active institutions from the rest.
Which rankings come with it?
National ranking tables cover branch count, total assets, total deposits, employee count, net income, ROA, ROE and derivatives exposure. Ranks also ride along on the bank pages themselves - the largest bank shows 5156 branches ranked #1.
See the rows before you pay anything.
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