This study was produced in partnership with WNY STEM Hub and Monroe County Community College’s Economic Development and Innovative Workforce Services division, and was sponsored by the SUNY TEAM (Training and Education in Advanced Manufacturing) Project.
Find the full report here.
Who will staff tomorrow’s workforce?
This report examines the critical and emerging needs in Erie, Niagara, Allegany, Cattaraugus and Chautauqua counties as retirement and attrition butt up against explosive job growth in key industries, creating gaps that the current pipeline of future workers can’t fill. The hole is particularly wide in the middle – namely technicians, licensed professionals, and skilled laborers – which will impact almost every profession from automotive technician to zigzag machine operator. By definition, middle skill jobs require a level of training beyond high school in programs generally taught at community college in degree or certificate programs.
Key findings from the report indicate:
There is a gap between supply and demand for three of the four occupational groupings (Mechanical Engineering Technologies, Mechatronics (integrated engineering technologies), Tooling and Machining). Electrical engineering technology is the only field where the region is producing a small surplus of workers.
What the Numbers Say:
28,118 middle skills occupations in advanced manufacturing related jobs
10% approaching retirement age
565 annual regional completions
894 estimated openings
631% new local workers
36.8% jobs may go unfilled
17,031 mechatronics workers
25% approaching retirement age
266 annual regional completions
44.7% new local workers
594 annual estimated openings
55.2% jobs may go unfilled
9,463 tooling and machining workers
27% approaching retirement age
53 annual regional completions
363 estimated openings
14.8% new local workers
85.1% jobs may go unfilled
6,526 mechanical engineering technology workers
26% approaching retirement age
76 annual regional completions
242 annual estimated openings
32.2% new local workers
67.7% jobs may go unfilled
This measurement aims to provide a high-level gap analysis, comparing total estimated number of learners completing a relevant middle skills training and education program within the region against estimated industry demands for middle skills workers. The data is not predictive: rather it is based on estimates derived from several proprietary big data labor market providers with a validation process that involves defining each group of occupations with local input.