Employers
Labor market data for employers
Compensation, workforce planning and location decisions all run on the same questions: what does this role pay here, who is available, and how does this region compare. Futurescope answers them from official statistics, so you can see the distribution rather than a single vendor-blended number.
What it is used for
Compensation benchmarking
The full wage distribution — 10th through 90th percentile, entry and experienced — for any occupation in any metro or county, indexed against the nation and against peer markets. You see the spread, not just a midpoint.
Talent supply
How many people the region trains for an occupation each year, from which institutions and at which award levels, against modeled annual openings for that occupation locally.
Location comparison
Any set of candidate areas across wages, concentration, labor force, establishment size distribution, commuting patterns, turnover and educational attainment — same method applied to every area.
Turnover and worker flows
Hires, separations and turnover rates by industry and demographic group, plus commuting flows showing where a site's workforce would realistically come from.
Adjacent talent pools
When an occupation is scarce, occupational similarity on standardized skill profiles shows which adjacent roles are closest on skill profile — and exactly which elements the gap consists of.
Education partnerships
Which institutions in your region complete students in the programs feeding your critical roles, and at what volume — the starting point for a training partnership that is aimed at something real.
In practice
Questions you can answer in a sitting.
- What does a maintenance technician actually pay across our three candidate sites?
- How many people does this metro train annually for the roles we are scaling?
- What is turnover in our industry here versus the state?
- Which adjacent occupations could we recruit from, and what is the skill gap?
- How far do workers commute into this county, and from where?
You see the whole distribution for every market rather than one blended midpoint — which is what a compensation decision actually needs.
See it with your own markets.
A 30-minute walkthrough on your data, not a canned demo. You keep whatever we build during it.