Workforce boards & EDOs

Labor market data for workforce boards and economic development

Regional and local plans, in-demand occupation lists, sector partnerships and target-industry work all need the same underlying evidence, produced consistently and defensibly. Futurescope gives your board one evidence base for all of it — including the analysis you would otherwise commission out.

What it is used for

Regional and local plan evidence

The economic and workforce analysis a plan requires — employment by industry and occupation, wages, projections, demographics and educational attainment — assembled for your local area with sources attached.

In-demand occupation lists

Build and defend the list against explicit criteria: projected openings, wage floor, concentration and entry education. When the list is challenged, the criteria and the source are on the same screen.

Sector strategy

Location quotient and shift-share tell you which sectors are genuinely a local strength versus riding a national tide. Staffing patterns tell you what occupations a target sector would actually demand here.

Target-industry and site analysis

Compare your area against any peer set across a dozen metrics — wages, concentration, establishment size distribution, labor force, commuting patterns and turnover — with the same method applied to every area.

Training provider alignment

What the region's institutions actually complete, by program family, against modeled openings — so training investment is aimed at gaps rather than at whatever is already well supplied.

Current conditions

Labor force, payroll employment, job openings and weekly claims refresh nightly, so the "how are we doing right now" question has a current answer rather than a two-year-old one.

In practice

Questions you can answer in a sitting.

  • Which sectors in our local area are concentrated, growing, and paying above the regional median?
  • What occupations would a target industry actually demand if it located here?
  • Are our region’s training providers producing for the occupations on our in-demand list?
  • How does our labor force participation and commuting pattern compare to our peer regions?
  • Where are initial claims moving relative to the state?

Location quotient, shift-share and staffing-pattern analysis are built in and documented — the same methods a consultant would apply, available whenever you need them rather than once per plan cycle.

See it with your own region.

A 30-minute walkthrough on your data, not a canned demo. You keep whatever we build during it.