County Business Patterns

What this dataset is

Counts of business establishments, employment and annual payroll by industry (NAICS code) for every county. Shows how many businesses of a given type operate in a place and how large they are — the standard way to size a B2B addressable market or an industry cluster. It is published by U.S. Census Bureau and can be queried at county and state level, refreshed annual. Each row is an aggregate statistic for a geography, so results describe a market as a whole rather than a single account.

Why it is useful

• Identifies how many organisations of a given type operate in the market before you spend a day driving it.
• Reveals employer concentration, which predicts whether a few accounts control most of the volume.
• Provides an independent cross-check on directory and registry counts.

Questions it helps answer

• How many establishments of this type exist inside the territory?
• Is this market fragmented across many small accounts or dominated by a handful?
• Has the establishment count grown since the last planning cycle?

How different verticals use it

RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.

How RepVector uses it

1. You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at county runs without you knowing any codes.
2. The planner selects County Business Patterns only when your question matches what it actually reports. It is never included to pad a result.
3. Returned rows are normalised into the shared metric layer, so figures from U.S. Census Bureau line up with every other source in the same dashboard instead of sitting in an isolated table.
4. Quality checks score coverage and recency. If U.S. Census Bureau suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
5. The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.

What it does not tell you

• Counts establishments, not decision makers — names and phone numbers come from registry and directory sources.

How it fits with the rest of the catalog

Establishment counts set the size of the opportunity; provider and facility registries turn that size into named targets. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to County Business Patterns:

Common questions