Workforce Proof Frame
Workforce comes up after power, land, and permitting. A city that fails infrastructure screens never reaches the labor question (Segers, Area Development Q2 2026). Cities that clear those filters and answer workforce with "we have a community college" get cut anyway.
The screen asks specific questions. How many workers in relevant SOC occupations exist within a defined commute radius? At what wages? Who else employs them? What are annual IPEDS-reported completion counts from aligned programs? When does the next cohort finish?
A college president's letter expressing willingness to develop a program does not answer any of those questions. Board-approved curriculum, scheduled section caps, installed equipment, named instructors, confirmed funding, and a first-completion date preceding the project's ramp — that answers some of them. The EDO answers the rest: occupation-specific OEWS data within a defensible labor shed, competing demand documented by incumbent employer, and training pipeline output verified through IPEDS awards, not catalog listings.
Cities self-sort here on documentation, not aspiration.
What the Workforce Screening Question Actually Asks
Fifty-one percent of respondents to the Site Selectors Guild's 2026 Pulse Check named workforce availability and quality a current site-elimination factor, behind only infrastructure capacity and suitable sites. The screen behind that number asks for occupation-specific employment by SOC code inside a defined labor shed, wage bands measured against the project's own compensation model, annual completions by CIP code, and a training commitment detailed enough to score against competing responses. Most tier-3 cities answer with a paragraph about work ethic and a community college partner. Six data elements, where each one comes from, and what format passes.
What the Workforce Screening Question Actually Asks
Fifty-one percent of respondents to the Site Selectors Guild's 2026 Pulse Check named workforce availability and quality a current site-elimination factor, behind only infrastructure capacity and suitable sites. The screen behind that number asks for occupation-specific employment by SOC code inside a defined labor shed, wage bands measured against the project's own compensation model, annual completions by CIP code, and a training commitment detailed enough to score against competing responses. Most tier-3 cities answer with a paragraph about work ethic and a community college partner. Six data elements, where each one comes from, and what format passes.
How to Build a Labor-Shed Answer a Site Selector Can Verify
A four-step methodology for constructing the labor-availability answer site selectors will actually verify: commute-boundary definition from the prospect's shift schedule and wage band, OEWS data use with its survey mechanics and geographic limits disclosed, SOC crosswalk construction from the prospect's staffing plan, and a presentation format built for independent checking. Each section is written so workforce board analysts and community college administrators can act on their piece without additional context. Every threshold and source claim cites BLS documentation, OEWS technical notes, or published selector practice.
How to Build a Labor-Shed Answer a Site Selector Can Verify
A four-step methodology for constructing the labor-availability answer site selectors will actually verify: commute-boundary definition from the prospect's shift schedule and wage band, OEWS data use with its survey mechanics and geographic limits disclosed, SOC crosswalk construction from the prospect's staffing plan, and a presentation format built for independent checking. Each section is written so workforce board analysts and community college administrators can act on their piece without additional context. Every threshold and source claim cites BLS documentation, OEWS technical notes, or published selector practice.
Training Pipeline Documentation That Survives Site Selector Screening
Site selectors testing workforce pipeline claims check seven documentation elements: approved curriculum, scheduled seats, equipment inventory, qualified instructors, secured funding, first-completion date, and employer participation commitments. Most communities submit letters of intent instead. This piece specifies what each element must contain — the credential alignment, the bottleneck section cap, the instructor qualification standard that applies in welding versus CNC machining versus mechatronics. Every section is written so a community college dean receiving it as a forward can locate their deliverables without subscriber context.
The Selector Already Has Your Employer List
Site selectors run your labor market through commercial analytics platforms before they contact your office. They already know which incumbent manufacturers are posting for the same occupations your prospect needs to fill. A workforce presentation that omits competing demand is detectable, and the credibility discount spreads to every other section of your package. This piece covers how to present incumbent competition as verifiable evidence of workforce quality, what specific data to compile and source for a selector audience, and when the honest answer is that the project doesn't fit your market at the proposed specification.
How to Ask Your Community College for a Workforce Answer That Survives Screening
A site selector reads your college's workforce answer alongside answers from four or five competing cities, each of which may name specific occupations, annual completions, program launch timelines, and an authorized institutional commitment. A general support letter loses that comparison. This piece covers the exchange between the ED director and the community college dean that produces a passing answer: what each party owes the other, where the conversation usually breaks down, and how to structure the ask so the college can respond inside an RFI window measured in days. Written for both parties.
Testing Whether Your Legacy Workforce Survives Site Selector Screening
Your city lost a plant or two. Your remaining production workers skew mid-40s or older. Your community college still runs machining and maintenance programs built for employers who downsized. When a site selector screens your RFI response, the question is whether those workers and programs match what the prospect actually requires, documented specifically enough to verify. This piece gives you a way to sort legacy occupations against a target project's hiring requirements, the evidence structure your workforce section needs, and a test for when your retraining timeline falls short.