Research · · 4 mins
Metro Unemployment vs. Job Availability: September 2026
BLS found lower unemployment rates in 226 of 387 metropolitan areas, while payroll employment increased significantly in only 11. The measures answer different questions for a location-based job search.
A low metropolitan unemployment rate can describe a tight local labor market, but it does not count available jobs. BLS reports that September 2026 unemployment rates were lower than a year earlier in 226 of 387 metropolitan areas, higher in 138 and unchanged in 23.
The same release reports statistically significant nonfarm payroll growth in 11 areas, decline in 3 and essentially no change in 373. Openbound keeps the labor-force rate and payroll-employment test separate, then translates both into questions a candidate can verify in current postings.
Most metro rates fell, but the direction was not universal
BLS reports 226 lower unemployment rates, 138 higher rates and 23 unchanged rates from September 2025 to September 2026. Those groups use the same 387-area denominator. The results describe changes in unemployment as a share of each area's labor force.
A rate can fall because employment rises, unemployment falls, labor-force participation changes or several movements occur together. The release does not convert a rate decline into a vacancy count or an individual probability of finding work.
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| Direction | Areas | Share of 387 |
|---|---|---|
| Lower | 226 | 58.4% |
| Higher | 138 | 35.7% |
| Unchanged | 23 | 5.9% |
A national comparison preserves local variation
The national not seasonally adjusted unemployment rate was 4.0%. A total of 223 metro areas were below it, 145 were above it and 19 equaled it. Separately, 48 areas had rates below 3.0% and 5 had rates of at least 8.0%.
Bismarck, Rapid City and Sioux Falls had the lowest reported rates at 1.7%. El Centro had the highest at 20.8%, followed by Yuma at 14.5%. These extremes should prompt a closer local review, not an automatic relocation conclusion.
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| Measure | Value |
|---|---|
| Areas below the 4.0% U.S. rate | 223 / 387 |
| Areas above the U.S. rate | 145 / 387 |
| Areas equal to the U.S. rate | 19 / 387 |
| Areas below 3.0% | 48 / 387 |
| Areas at least 8.0% | 5 / 387 |
Large rate changes require the same denominator discipline
Eagle Pass had the largest year-over-year rate decrease at 2.5 percentage points, followed by Vineland at 2.2 points. New Haven and Waterbury-Shelton had the largest increases at 1.2 points each.
A percentage-point change is not a percent change and is not a job count. Openbound retains the unit because rewriting a 2.5-point decline as 2.5% would change the meaning.
Payroll employment and unemployment rates can tell different stories
BLS found significant payroll-employment growth in 11 metro areas, decline in 3 and essentially no change in 373. The 226-area unemployment-rate decline therefore cannot be relabeled as 226 areas with payroll growth.
Payroll employment is based on jobs reported by establishments. The unemployment rate comes from labor-force data about residents. Commuting, multiple jobholding, population movements and statistical uncertainty help explain why the measures should not be forced into one ranking.
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| BLS result | Areas | Share of 387 |
|---|---|---|
| Significant increase | 11 | 2.8% |
| Significant decrease | 3 | 0.8% |
| Essentially unchanged | 373 | 96.4% |
Use local labor data to frame a current-opening check
For each target metro, compare current openings in the candidate's occupation, employer evidence, advertised pay, workplace requirements and the date the posting was verified. A broad local rate cannot establish that a particular employer is hiring for the candidate's function.
International candidates need an additional role-level check. These BLS tables contain no H-1B, OPT, PERM or employer-sponsorship field. Historical filing evidence can prioritize questions, while the exact requisition and hiring team must confirm current support.
What to do with these findings
Build a location shortlist from more than one measure: current occupation-specific openings, local labor-force conditions, pay and cost, and the practical ability to work from that location.
Keep unemployment-rate levels, rate changes and payroll-employment changes in separate columns. Their units, populations and statistical tests differ.
Use extreme values as investigation prompts. Verify whether the result reflects a broad market or industries unrelated to your target role.
Confirm work authorization and sponsorship for the exact opening. The BLS location data does not observe either.
Sources & research notes
Sources
About this analysis
Original data through September 30, 2026. Later supplements retain the separate dates and scopes stated alongside their findings.
The original analysis covers 387 observed posting records in the role or employer group described in this report. Each posting is counted once within that cohort. Subgroup percentages use that subgroup’s posting count; favorable signals mean Highly likely or Likely.
How Openbound measures jobs and sponsorship signals →Key limitations
- This archived analysis is not a fresh extraction or a census of the U.S. job market. Historical postings may have closed, and employer records may omit other entities or sources.
- Historical filing activity and posting signals do not confirm support for an individual role or predict an offer, visa approval or green-card outcome.
- Role and workplace labels can be incomplete. Remote work does not establish international eligibility; confirm the exact role, location and employing entity.
Spotted an error? Request a correction. Updates replace the dated snapshot at this stable URL; source and data dates remain stated alongside the findings.
