Set up the region
Pick the county the project lands in — the model auto-loads its bordering counties as the region, or you add your own. Then the project: jobs, wage, capital investment, ramp.
County · region · projectNew jobs don’t respect jurisdictions — workers commute, households settle, and the tax base lands somewhere. The Future Impact Model traces that ripple across every county in the region and resolves it into what a council actually asks about: revenue, schools, housing, retail, and net fiscal position.
Most impact studies answer one community at a time — then the neighbouring county asks the same question and the whole study runs again. But the ripple was always regional. The model already routes every worker across every county. We simply stopped hiding it.
Define the region once. The engine distributes the project’s workforce across it using real commuting flows, then you move freely between the regional picture and any single community inside it.
Pick the county the project lands in — the model auto-loads its bordering counties as the region, or you add your own. Then the project: jobs, wage, capital investment, ramp.
County · region · projectRegional totals, a live choropleth of the counties, where the new workers actually live, and the winners-and-losers ledger of net fiscal impact by jurisdiction.
Roll-up · map · commute · fiscalClick any county on the map and the full community report opens for it — economy, employment, demographics, housing, and the one-page summary sheet, export-ready.
Report · infographic · PDFFlexible enough for a single employer. Deep enough for a county’s balance sheet, its schools, and its housing market.
One shape per county, recolored live by the metric you’re arguing. Sequential for growth; diverging for net fiscal, so winners and losers read instantly.
New households — hover a county for its share.
Real county geometry — Hall County, Georgia and its nine neighbours. A further 8% of the workforce commutes in from beyond this region; that impact leaks away.
Census origin–destination data splits the project’s jobs across the region — impacts follow where workers actually live.
County and school revenue set against the real cost of serving the households that arrive — not just the headline gains.
New households against prices, rents and cost burden by income band — whether the local market can house the people the project brings.
New household income converts into retail demand by category — and into the local option sales tax that follows it.
Phase the project in over its ramp and read the region’s fiscal position as a net present value — the horizon a board actually decides on.
Save any scenario to your secure workspace, reopen it later, and export every chart and the one-page summary as branded PNG or PDF — in EIG colors or your client’s.
Established regional data, documented method, and a calculation you can walk a skeptic through line by line. It runs live in the browser — so the answer is current every time.
Employment, earnings, population and households set the community’s starting point — the counterfactual every impact is measured against.
Census origin–destination data distributes 100% of the project’s workforce across the region’s counties. No assumption that a job equals a local resident.
County and school district revenue and expenditure on a national, consistent basis — with analyst override when local ACFR figures are better.
Workers become households, households become residents, students, retail demand and service cost. That chain is where the fiscal answer actually comes from.
Regional projections run to 2060, so a twenty-year horizon rests on published forecasts rather than a flat-line assumption.
A method refined and stood behind by EIG’s in-house economists for over 30 years — in front of councils, boards and bond markets.
Set up a region in a few minutes. Run it live. Walk into the meeting with numbers you can defend.