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August 15, 2025 · The Bloomfield Team

The Manufacturing Workforce By the Numbers: 2025 Data

The manufacturing workforce in the United States stands at approximately 12.9 million people as of mid-2025, according to Bureau of Labor Statistics data. That number has recovered from the pandemic low of 11.4 million but remains below the pre-2008 peak of 13.7 million. The gap between available jobs and available workers continues to widen, with the Deloitte and Manufacturing Institute projecting 2.1 million unfilled manufacturing positions by 2030.

Here are the numbers that matter most for shop owners making decisions about hiring, retention, knowledge management, and technology investment.

The median age of a manufacturing worker is 44.1 years, roughly three years older than the median for all U.S. workers. More critically, 46% of the manufacturing workforce is over 45, and the cohort entering from the under-25 pipeline represents only 9% of the total. The math on replacement is unfavorable. For every two workers who retire in the next decade, the current pipeline produces roughly one replacement.

The Skills Gap by the Numbers

The Manufacturing Institute's 2024 survey of manufacturing executives found that 65% of respondents identified workforce challenges as their top concern, ahead of supply chain disruptions (48%) and economic uncertainty (42%). Within workforce challenges, the specific pain points break down clearly.

• Time to fill a skilled position: 70 to 90 days on average for CNC machinists, programmers, and quality technicians. That is roughly double the average time-to-fill for non-manufacturing roles.
• Training investment per new hire: $3,000 to $8,000 for basic skills training. $15,000 to $25,000 for a machinist to reach full productivity on complex work. The ramp time for an experienced hire to learn a specific shop's equipment, materials, and customers averages 6 to 12 months.
• Turnover rate: Manufacturing turnover averaged 28% in 2024, with first-year turnover significantly higher at 35 to 40%. The cost of replacing a skilled manufacturing employee, including recruiting, training, and lost productivity, ranges from $30,000 to $60,000 depending on the role.

What the Numbers Mean for Small and Mid-Size Shops

For a 50-person shop, the workforce data translates to concrete planning requirements.

Roughly 23 of those 50 employees are over 45. Within the next ten years, 10 to 15 of them will retire or leave the workforce. The shop needs to plan for replacing not just their labor hours but their institutional knowledge, which includes quoting judgment, setup expertise, customer relationship history, and quality experience that took decades to accumulate. The key-person dependency risk in manufacturing is directly quantifiable using this demographic data.

Recruiting will cost more and take longer than it did five years ago. The shops that compete successfully for talent are offering $22 to $32 per hour for entry-level machinists (up from $18 to $26 in 2020), providing structured training programs, and investing in workplace conditions that appeal to workers with options. The shops that attract young workers treat hiring as a year-round function rather than a reactive scramble when someone gives notice.

The Knowledge Transfer Timeline

The most urgent implication of the workforce data is the knowledge transfer window. The experienced workers who carry institutional knowledge are still in the building today. Five years from now, a meaningful percentage of them will not be. The window for capturing what they know, structuring it in systems that the next generation can access, and building tools that reduce the dependency on individual memory is measured in years, not decades.

Every day that an experienced estimator, machinist, or quality manager works, they generate data: quotes priced against actual costs, setup decisions recorded in job records, quality judgments documented in inspection reports. That data can feed knowledge capture systems that make institutional expertise accessible to the entire team. Or it can remain locked in individual memory until the day that person retires.

The workforce numbers are not a future problem. They are a current condition with a predictable trajectory. The shops that invest in knowledge management, structured data systems, and technology that amplifies the productivity of their existing team will navigate the demographic shift. The shops that wait for the problem to become acute will spend the next decade managing the consequences.

American manufacturing has reinvented itself before. The assembly line. The CNC machine. Every generational shift required builders who saw the constraint and built the system to address it. The workforce constraint is the defining challenge of this generation, and the tools to address it exist today.