Data catalog

Local Area Unemployment Statistics

U.S. Bureau of Labor Statistics

Publisher site
economy
timeseries

In a RepVector build, this dataset shows whether the money behind a territory is growing or contracting.

Sample of the actual data
1 rows captured for Columbus, Sharon, Franklin County, Ohio on 2026-08-18. Showing the first 1.
CountyFIPSLatest monthUnemployment rateSame month last year
Franklin County39049June 20263.4%4.6%

What this dataset is

Monthly unemployment rate and labor force size for every U.S. county and state, not seasonally adjusted. The standard read on how tight or slack a local labor market is, and how it has moved month to month. It is published by U.S. Bureau of Labor Statistics and can be queried at county and state level, refreshed monthly. Each row is a period observation, so results show direction and rate of change rather than a single snapshot.

Why it is useful

  • Distinguishes a market that is expanding from one that is merely large but flat.
  • Gives a defensible reason for sequencing territories when quota is fixed and travel time is not.
  • Anchors budget conversations in published income and output trends rather than anecdote.

Questions it helps answer

  • Is this territory's income base growing faster than the state as a whole?
  • Which markets have the economic headroom to absorb a price increase?
  • Where is output shrinking enough to justify pulling coverage back?

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.

Manufacturing & industrial

Tracks regional output to decide which territories can absorb capacity expansion.

Financial services

Backs credit and expansion cases with published income and output trends.

Construction & real estate

Flags markets where the income base is growing ahead of the state average.

Healthcare & life sciences

Explains payer-mix pressure that shows up later in utilisation data.

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 Local Area Unemployment Statistics 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. Bureau of Labor Statistics 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. Bureau of Labor Statistics 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

  • Reports aggregate trends with a reporting lag; it will not reflect a plant closure or opening from last quarter.
At a glance
How this dataset can be queried and how current it stays.
Publisher
U.S. Bureau of Labor Statistics
Geographic grain
county
state
Refresh cadence
Monthly
Row represents
timeseries
Topics
unemployment
labor force
jobs
labor market
economy
workforce
employment rate
layoffs
hiring conditions
county unemployment
Available fields
The columns this dataset returns in a RepVector build.
FieldKeyType
Countyareastring
FIPSgeoidgeo
Latest monthperiodstring
Unemployment rateunemploymentRatepercent
Same month last yearyearAgoRatepercent

How it fits with the rest of the catalog

Economic trend lines explain the direction of a market; business counts and spending data explain who inside it is transacting. 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 Local Area Unemployment Statistics:

Browse all datasets

Common questions

What does Local Area Unemployment Statistics contain?

Monthly unemployment rate and labor force size for every U.S. county and state, not seasonally adjusted. The standard read on how tight or slack a local labor market is, and how it has moved month to month. It is published by U.S. Bureau of Labor Statistics at county and state grain.

How often is it refreshed?

U.S. Bureau of Labor Statistics publishes on a monthly cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.

Do I need an account to use it?

No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.

Put Local Area Unemployment Statistics to work in your market
Describe the market and the customer you want in plain language. RepVector resolves the geography, selects the datasets that actually answer it — including this one when it fits — and builds the dashboard, targets and exports.

Build the list for one county and see whether the names are right.

Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.

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