Understand the data, not just the dashboard.

Labor market data describes who is employed where, in what industries and occupations, what they are paid, how that is changing, and what is being trained. Good labor market data is attributable: every number can be traced and dated, and anything derived says how it was derived.

Futurescope is built entirely on official statistics. There is no proprietary black box, no synthetic records and no demo dataset. Where we model a figure that is not officially published, the interface labels it as modeled and shows the method.

Read the full guide to labor market data →

Colleges and universities — program review, new-program justification, portfolio decisions, Perkins and grant reporting, accreditation evidence. Workforce boards and economic development organizations — regional plans, in-demand occupation lists, sector strategy, target-industry analysis. Municipalities, counties and other public agencies — economic development strategy, grant applications, comprehensive plans, council briefings. Employers — compensation benchmarking, talent supply, location comparison. Analysts, researchers and consultants — a reconciled multi-year panel with documented methods, ready to interrogate.

What they have in common is that somebody will question the number, and they need to be able to answer.

No. Job-posting data is useful for reading demand signals month to month, but it is a sample of what employers advertise online, not a measure of employment, and no vendor publishes the sampling frame. Our figures come from official statistical programs with published methodology — employer records that cover nearly every establishment, and large probability surveys.

That is a deliberate trade. You get figures you can defend in an accreditation review, a grant application or a board meeting. You do not get real-time posting counts.

The nation, all 50 states and DC, every metropolitan and micropolitan statistical area, combined statistical areas, and every county — plus custom regions built from any set of counties. Coverage at the smallest geographies is limited by what is officially published; where a cell is suppressed, the platform says so rather than filling it in silently.

As current as the underlying statistics allow, and refreshed for you automatically — monthly labor market series and weekly unemployment claims update nightly, employment and wage panels weekly, and the reference layers monthly. Every module shows the vintage of the data behind it, so you always know how fresh a figure is before you cite it.

The full refresh schedule is on the data integrity page.

Three differences that matter in practice. Provenance — every figure is attributable and dated, and modeled figures show the method rather than presenting a proprietary estimate as fact. Scope of pricing — a single organizational subscription, not per-seat licensing that limits the analysis to one office. Depth — full distributions, twelve years of history and the program-to-occupation pipeline are the center of the product, not add-on modules.

There is nothing to install and no data for you to supply. We configure your region, your organization and your peer set, then your team logs in. Onboarding is typically a single session; most users are self-sufficient after it. If you want your own institution benchmarked against a named peer group, that is set up once and persists.

Yes. Every table exports to CSV, every chart prints cleanly, and narrative reports export to Word so you can edit them into a board packet. Charts are drawn as vector graphics, so they stay sharp in a printed document.

Estimated annual openings at sub-national geographies, regional occupational outlook, sub-state industry and completions forecasts, staffing-pattern estimates for occupations suppressed at local geographies, and the supply–demand pipeline balance. Each is labeled as modeled wherever it appears and never mixed into an official projection table. The methodology page documents each one.

Yes. Every figure carries its citation and vintage, which is what reviewers look for, and narrative reports carry those notes into the exported document — so the evidence travels with the argument.