The U.S. Labor Market, Seen Through Open Listings
Where hiring demand is moving—and how concentrated it really is
A visual pulse built from the latest JobDataPool release, focused on momentum, geography, market shape, remote work, and the age of open listings.
This is a measured view of listings observed in the pool, not an estimate of total employment or every job opening in the United States. The dashboard isolates U.S. records from the current public union and publishes the computed output as reusable JSON.
Market Pulse
Four numbers that describe the shape of this release
Computing the latest 30-day window and market concentration…
Momentum
Weekly posting pulse
Complete Monday–Sunday weeks
Listing Shelf Life
How long jobs stay visible
Age is measured against the latest validation date, not today's date.
Geography
States with the most observed demand
Sector Mix
What the market is hiring for
Sector labels reflect source taxonomy and may be more specific than standard industry classifications.
Workplace Flexibility
Explicit remote or hybrid signals
remote / hybrid
—
listings explicitly mention remote, hybrid, work-from-home, or telecommuting language in the title or location.
Market Concentration
A broad employer base, not one dominant buyer
The Herfindahl–Hirschman Index summarizes concentration across every observed employer.
Coverage Before Conclusions
What this release can—and cannot—tell us
The build resolves /datasets/latest.csv, loads the matching compressed API sidecar, removes closed rows, isolates U.S. records using country and location evidence, and excludes obvious error or incomplete records. Every chart is recomputed during deployment.
Posting volume measures observed advertisements rather than hires, employment, or unemployment. Remote share requires explicit language. State rankings exclude records without a recognizable state. The current sampled release does not expose usable pay values, so this dashboard deliberately does not invent a salary chart.
Explore the Underlying Data
Move from the pulse to individual records
Use the canonical API, schemas, and versioned downloads when you need to reproduce an aggregate, compare segments, or inspect the source fields behind a listing.