Cluster Context and City Fit
Workforce availability and quality was named a current site-elimination factor by 51% of respondents in the Site Selectors Guild's 2026 Pulse Check — behind infrastructure capacity (61%) and suitable sites (53%), ahead of everything else. It is the dimension that does the eliminating for labor-intensive manufacturing: automotive and industrial supplier operations, food and beverage processing, medical device assembly, contract electronics, and any advanced manufacturing facility staffing 150 or more production roles with occupation-specific skill requirements.
The city archetype positioned to compete here is narrow. A market of 50,000 to 200,000 with a measurable manufacturing employment base — a shrinking one counts — where the EDO can document occupation-level employment inside a defined commute radius, name the institutions producing completions in relevant programs, and quantify annual throughput into the local labor market. A legacy industrial city whose machining and stamping employers have shed 400 jobs over five years holds something a growing sunbelt suburb does not: displaced workers with transferable industrial skills, identifiable in federal data by occupation code. Those workers are the asset. They are only legible to a selector as employment estimates inside a stated boundary.
If your city cannot produce occupation-level counts inside a defined labor shed, this screen removes you before anyone opens the site file.
The Question
The question is never "tell us about your workforce." Dennis Donovan of Wadley Donovan Gutshaw Consulting described the actual RFI content in 2025: major employers and headcount, overall and industry-specific; new or expanding employers; downsizing employers; annual graduates from high schools and two- and four-year institutions with occupation- or curriculum-specific totals; a local wage-and-benefits survey; unionized companies. A 2025 Leadership NC RFI simulation runs the same pattern, specifying occupation-level data for CNC machinists, maintenance technicians, quality technicians, and assemblers alongside labor-shed population, shift patterns at competing manufacturers, and a training-provider inventory.
It is a structured data request with occupation-specific fields, and it expects a table.
The Typical Answer
"We have a strong manufacturing workforce and an excellent community college partner. Our work ethic is second to none — third-generation manufacturing families. The community college president sits on our economic development board and has committed to developing customized training for any employer that locates here. We also have a regional workforce development board that coordinates training across three counties. Unemployment is low, which shows our people want to work."
Why It Fails
Behind the question is a priced risk: can this location supply 200 CNC operators, 35 maintenance technicians, and 15 quality engineers within 18 months of groundbreaking, at wages high enough to pull them off other plant floors and low enough to hold the project's labor-cost model?
None of the typical answer scores against the three other communities answering the same RFI. "Strong manufacturing workforce" has no denominator. Citing the community college names an institution, not a program with seats, a completion count, and a first-cohort date; "customized training for any employer" states willingness without a specification. Work ethic is not a field on the form. Low unemployment cuts against you as often as for you — it reads as a tight market in which incumbent employers are already bidding for the workers this project needs. The evaluator is populating a comparison matrix. What arrived is a paragraph.
The Passing Answer
Six data elements. The selector scores each one comparatively across all responding communities. A gap in any of them can end the conversation.
Occupation-Specific Employment Within a Defined Labor Shed
Report employment counts for each occupation the project requires, using Standard Occupational Classification codes, inside a geographic boundary you define and can defend. The Bureau of Labor Statistics' Occupational Employment and Wage Statistics program — OEWS — publishes employment and wage estimates for roughly 830 occupations across about 530 areas; the May 2025 estimates were released in May 2026. Pull the SOC codes matching the project's staffing plan and report the employment estimate.
The boundary is your labor shed: the area from which the facility will realistically draw workers. Published examples range from 20 miles in the 2025 Leadership NC simulation to 60-minute drive times cited by Parker Poe in Area Development, November 2023. State the boundary, state the method, and calculate every workforce figure in the response consistently inside it.
The labor-shed methodology piece in this section covers commute-radius construction and OEWS/SOC crosswalk mechanics in detail. This teardown specifies what the passing answer contains; that piece walks through how to build it.
Donovan's 2025 account offers one illustrative screening ratio: a project needing 25 experienced machine operators might screen for a pool of 250, a 10:1 ratio of occupational employment to project need. He presents it as an example, not a standard, and no reviewed source establishes a single pass/fail ratio for manufacturing. Present the occupational depth and let the selector apply their own screen.
Wage-Band Positioning
Report median hourly and annual wages for each target SOC code inside your labor shed from OEWS, then report what the project proposes to pay. Two things are being evaluated: whether the wage offer is competitive enough to attract workers away from incumbent employers, and whether the resulting labor cost fits the operating model. If the project pays $22 an hour for CNC machinists and your market's median is $24, the selector sees a recruitment problem. If the median is $19, they see a viable market — and a wage-inflation exposure for your existing employers that the community should understand before the deal closes.
Annual Completions by Program
Report completions from every institution inside your labor shed producing graduates in relevant programs, coded by CIP code. Classification of Instructional Programs codes do for training programs what SOC codes do for occupations; they are the standard taxonomy for what institutions produce. The Integrated Postsecondary Education Data System — IPEDS — publishes completion counts by institution and program, most recently 2024–25 provisional data released September 2025. For each program give award level (certificate, associate, bachelor's), annual completions, and CIP code. Include high school career-technical programs, registered apprenticeships (Apprenticeship.gov data runs current through July 2026), and four-year engineering programs where the staffing plan calls for them.
Completions are awards, not available workers. Some graduates leave the market and some are already employed. The selector knows that. Report the number anyway — it establishes annual throughput, which is what the pipeline question measures.
Training Pipeline Capacity and Ramp Timeline
Most tier-3 answers stop at institutional willingness. "Our community college will develop customized training" cannot be scored.
What passes is a conditional commitment from the training institution specifying:
- Program name and target occupations
- Cohort size
- Launch date and first-completion date
- Credential or competency outcome
- Instructor availability
- Equipment and facility status
- Funding source or conditions
- Employer responsibilities (process information, equipment access, subject-matter experts)
The Department of Labor's Workforce Opportunity for Rural Communities grant program scores partner commitments directly, and its Round 7 notice (June 2026) draws a usable line: signed, dated, on institutional letterhead, identifying roles, responsibilities, and contributions. A generic letter of support is explicitly insufficient. Selectors are not scoring against DOL criteria, but the document standard transfers.
State customized-training programs — Virginia's Talent Accelerator, LED FastStart, Georgia Quick Start — scope their work after the employer commits and supplies operating information. Before that point you can document program eligibility, the engagement process, prior delivery experience in comparable sectors, and existing program inventory. Present both layers: what exists now, and what the institution can mobilize on a named process and timeline.
Incumbent Employer Competition
The selector will analyze your employer base independently from industry and occupation data. What desktop research does not produce, and what the RFI asks you to supply, is the local picture: major employers by name and headcount, whether each is expanding, stable, or downsizing, shift patterns, and which of them compete for the same occupational pool. Donovan notes that finalist-stage fieldwork includes confidential employer interviews covering applicant flow, compensation, recruiting difficulty, and preferred labor-draw submarkets.
Build the table: employer name, total headcount, occupational overlap with the project's staffing plan, current wages for overlapping occupations, expansion or contraction status. Date it. Contraction status moves faster than OEWS estimates refresh.
Unionization
Report unionized manufacturers inside the labor shed, recent representation elections or decertifications, and the market's overall unionization rate. BLS publishes annual union membership estimates by state and metro area from the Current Population Survey supplement, and the NLRB election database records representation elections and certifications by employer and location. The RFI generally expects a table — company name, union affiliation, bargaining-unit size where available — not a market-level percentage. Provide it factually.
The Tier-3 Translation
A director in a 90,000-person market knows every manufacturer in the labor shed by name, knows which ones cut a shift last quarter, and can assemble the incumbent-employer table from direct contact rather than a database query. That is better intelligence than OEWS, which reports estimates for a whole metro area and lags by a year. It scores as zero until it appears in a dated document with a source line.
The conversion is mechanical. A row in the employer table sourced "direct contact with plant HR, March 2026" is defensible in a site visit; the same figure with no attribution is an assertion. Shift patterns, current wage rates for overlapping occupations, and expansion or contraction status are not published anywhere. They have to be collected, attributed, and dated — which is work a tier-1 EDO with no plant-floor relationships cannot do at all.
Who Else Needs This
The community college dean or workforce program director controls the pipeline commitment. Send them the pipeline section and ask for a conditional commitment letter covering every field on the list: program, cohort size, dates, instructors, equipment, funding conditions, credential outcome, employer responsibilities. The workforce development board director gets the same section and confirms registered apprenticeship counts and active program inventory. Your state customized-training contact — whoever administers the Talent Accelerator, FastStart, Quick Start, or your state's equivalent — should confirm program eligibility, supply prior delivery examples in comparable sectors, and give you the timeline from employer commitment to first training cohort. None of them should be hearing about this for the first time while you are drafting an RFI response on a five-day turnaround.
- RFI response windows vary: South Dakota GOED's public guidance confirms that company-controlled RFI deadlines can be as short as one day, which means the workforce data package described here needs to exist before the request arrives.
- Occupational stock versus availability: Chmura's July 2026 vendor analysis reinforces that OEWS employment totals measure occupational stock, not immediate availability, and recommends layering in job-advertising activity, hiring pressure, and competing recruitment to approximate real supply.
- Labor-shed boundaries are project-specific: A commissioned labor-shed study for Ardmore, Oklahoma derived a conservative 35-minute boundary from three methods and recommended a broader 50-minute area for well-paying production jobs, illustrating how wage level shifts the realistic draw distance.
- FERC large-load proceedings affect workforce indirectly: FERC's June 2026 orders directing RTOs and ISOs to reform rules governing large-load interconnection could reshape which sites receive power fast enough to trigger the workforce ramp timeline your pipeline commitment describes.