Qualified Industrial Labor Summary
Realistic Commute & Labor Draw from this location: 48 min drive time.
|Base Labor Availability||Total|
|Population (5 year estimate)||41,416|
|Working Age Population (Age 16-65)||26,873|
|Working Age Participation Rate %||77|
This labor summary is generated from zip code level data and as a result, it includes date from zip codes that fall entirely or partially winton the selected area.
|Available Industrial Workforce||Total||%|
|Overall Manufacturing Underemployment||419||15.56|
|Blue Collar Underemployment||1,331||18.49|
|Production and Distribution Underemployment||713||21.57|
|White Collar Underemployment||2,274||18.17|
|Engineering and Science Underemployment||60||11.90|
What does this mean?
There are an estimated 3,650 underemployed workers in this region, of which 419 are working in manufacturing. These individuals are potentially available for work opportunities in new and expanded facilities. This higher underemployment rate compared to the state rate is a sign the labor market in this region may be slacker than the state’s labor market overall, and thus, it may be relatively easier to staff a new operation.
What is Underemployment?
Underemployment is a measure of employed individuals who are either working part-time but preferring a full-time position, working in a non-permanent position but preferring a permanent job, or “overqualified” for their current position due to factors like training, education, pay scale, and job satisfaction. Underemployment is a critical measure in quantifying the real, available workforce especially for new and expanding firms in a community as they ramp-up operations.
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Commuting data were estimated using both the workforce survey results, but were also supplemented with an additional 6,300 employee home ZIP records provided by interviewed employers and further calibrated using secondary data sources. Commuting data by wage levels estimate the commuting patterns for individuals paid in the lowest quartile of wages relative to the estimated average county wage (“Below Avg. Wage”) and for individuals in the highest quartile of wages relative to the estimated average county wage (“Above Avg. Wage”). Willingness to commute data leverage only survey results, and shows individuals’ reported maximum willingness to commute for a job. Overall, this data is critical to understanding what are the true geographic zones new and existing employers could realistically draw workers from.