Manufacturing Diversity Statistics: Workforce Representation and Ownership Data

Manufacturing Diversity at a Glance

The Bureau of Labor Statistics Current Population Survey is the cleanest national starting point. It reports annual averages by detailed industry, sex, race, and Hispanic or Latino ethnicity. Manufacturing employs roughly 15 million people. Women account for 29.4%, Black workers 10.3%, Asian workers 7.4%, and Hispanic or Latino workers 18.8%.

Those categories are not mutually exclusive. Hispanic or Latino is an ethnicity in federal statistics, and people in that group may be of any race. Sex is tabulated separately. Adding the percentages together produces a meaningless total. The right comparison is each group's manufacturing share against its share across all industries.

Women in Manufacturing

The female share of manufacturing employment has remained far below women's 47.0% share across all industries, according to the BLS industry table. That does not mean every factory is 70% male. Food, pharmaceutical, apparel, electronics, and medical-device plants can look very different from primary metals, heavy equipment, or machine shops.

Occupation matters as much as sector. Women make up 29.5% of production occupations, but only 4.3% of installation, maintenance, and repair jobs. They hold 16.5% of architecture and engineering occupations and 27.1% of computer and mathematical occupations. These are economy-wide occupation figures from the BLS labor-force characteristics table, not manufacturing-only shares, but they identify the pipelines that feed plant staffing.

Management has a different pattern. Women hold 41.2% of management occupations across the economy, still well above their manufacturing employment share. A manufacturer can therefore improve representation at the plant level while still finding that technical leadership, operations management, or maintenance supervision lags. The BLS Women's Databook provides additional occupation, earnings, family, and education context.

Race and Ethnicity in Manufacturing

Black workers account for 10.3% of manufacturing employment, below their 12.8% share across all industries. Asian workers hold 7.4% of manufacturing jobs, roughly even with their all-industry representation. Hispanic or Latino workers represent 18.8% of manufacturing employment, also close to the 19.0% all-industry share. All four figures come from the same BLS annual-average table, which makes the comparisons consistent.

Representation differs sharply by occupation. Black workers make up 12.3% of production occupations and 23.0% of transportation and material-moving occupations, but 5.8% of architecture and engineering occupations. Asian workers make up 15.7% of architecture and engineering and 24.4% of computer and mathematical occupations, compared with 7.0% of production jobs. Source: BLS occupation demographics.

Hispanic workers represent 23.1% of production occupations, 22.8% of installation, maintenance, and repair, and 24.9% of transportation and material moving. Their share falls to 10.7% in architecture and engineering and 11.8% in management. Those differences show why a single company-wide percentage can conceal who gets access to technical and leadership tracks. Source: BLS CPS Table 11.

Age, Immigration, Disability, and Veteran Status

Diversity extends beyond race and gender. The manufacturing workforce has a median age of 44.3, two years above the all-industry median, and roughly 26% of manufacturing workers are 55 or older. Those figures from the BLS detailed industry age table make age inclusion a capacity issue. Experienced workers need accessible training, sensible ergonomics, and a structured way to transfer process knowledge.

Foreign-born people make up 19.2% of the US civilian labor force, according to the BLS foreign-born worker report. The report includes industry distributions, earnings, education, occupation, and unemployment. Plants relying on multilingual teams get better safety and quality results when visual work instructions and translated critical procedures are part of the operating system, not an informal favor from a bilingual employee.

The BLS disability employment release reports that 22.7% of people with a disability were employed in 2024, compared with 65.5% of people without a disability. These are economy-wide figures. They show a large pool of potential workers, but manufacturers must evaluate physical requirements job by job instead of assuming every production role has the same demands.

Veterans bring maintenance, logistics, technical, supervisory, and safety experience. The BLS veteran employment release provides current labor-force participation, unemployment, occupation, industry, disability, and service-period data. Employers should compare veteran hiring, retention, and promotion rates with applicant-flow data rather than treating veteran status as a recruiting slogan.

Manufacturing Business Ownership

Workforce diversity and ownership diversity answer different questions. The Census Annual Business Survey publishes employer-firm counts, receipts, payroll, and employment by owners' sex, race, ethnicity, and veteran status. Users can filter by NAICS sector and geography. That makes ABS the right source for questions such as how many women-owned manufacturing firms operate in a state or how employment at minority-owned factories changes over time.

Ownership categories also overlap. A business may be women-owned, Hispanic-owned, veteran-owned, and part of more than one reporting view. Census classifies ownership using the characteristics of people holding 51% or more of the stock or equity. The agency's business ownership explainer documents how employer and nonemployer statistics fit together.

Do not compare ABS employer-firm percentages directly with workforce percentages. One measures control of firms. The other measures people in jobs. A small owner-operated shop and a 5,000-person plant each count as one employer firm, but they do not carry the same employment weight.

Why Representation Is a Capacity Metric

Diversity in manufacturing is tied to the manufacturing labor shortage because employers cannot attract and retain enough people by repeating the recruiting patterns of 2021 and 2022. An inclusive workplace gives a qualified operator, engineer, technician, or supervisor a clearer manufacturing career path. Diversity and inclusion programs only matter when they change access to training, wage growth, salary bands, difficult assignments, and promotion. That is how the manufacturing industry turns a broader applicant pool into lower turnover and fewer unfilled manufacturing jobs through 2030.

No major federal series publishes a reliable national LGBTQ share specifically for manufacturing. This report does not substitute an economy-wide LGBTQ estimate for a manufacturing statistic. The same caution applies when comparing race groups across tiny subsectors. Readers should use the linked Census and BLS tables, check sample sizes, and avoid presenting estimates as exact headcounts.

Deloitte and the Manufacturing Institute estimate that US manufacturers may need 3.8 million employees from 2024 through 2033, with as many as 1.9 million positions left unfilled if the talent gap persists. Source: Deloitte manufacturing workforce research. Recruiting from the same narrow channels is unlikely to fill a gap that large.

The need is immediate. In the National Association of Manufacturers' fourth-quarter 2025 survey, 72.1% of manufacturers needed skilled production workers, 60.1% needed core production workers, and 33.5% needed highly skilled degreed workers. Source: NAM Manufacturers' Outlook Survey.

Representation does not automatically improve output, quality, or retention. It expands the reachable talent pool. The operating return comes from fair hiring, training access, dependable scheduling, safe work, transparent promotion standards, and supervisors who can run mixed-experience teams.

How to Benchmark a Manufacturing Workforce

Start with the labor market you can realistically recruit from. National manufacturing data is useful for context, but a plant should compare itself with local working-age population, relevant occupations, commuting patterns, and nearby industry. The Census Quarterly Workforce Indicators can break employment, earnings, hires, separations, age, sex, race, ethnicity, and education down by geography and industry.

Then separate the employee lifecycle. Measure applicants, interviews, offers, hires, 90-day retention, training enrollment, certifications, promotions, pay, and voluntary exits. A plant can have representative hiring and unequal retention. Another can retain well but draw an applicant pool from only a few schools or referral networks.

For federal contractors and organizations using EEO reporting, the Equal Employment Opportunity Commission data collections explain job categories, demographic reporting, and available public datasets. Internal data should be protected, aggregated where needed, and used to find process gaps, not label individuals.

Key Data Checkpoints

Methodology and Limitations

Most workforce percentages here come from the Current Population Survey, a monthly household survey. Annual averages reduce monthly noise, but estimates remain subject to sampling error. Detailed local or subsector estimates can be less stable. Percentages may not sum to 100 because of rounding and because Hispanic ethnicity overlaps racial categories.

Occupation statistics describe all US industries unless explicitly labeled manufacturing. Business ownership figures come from Census surveys and should not be treated as employee representation. Dates differ across source programs because federal releases follow separate schedules. This page states the source beside each table or claim so researchers can verify definitions and retrieve newer releases.

Cite This Resource

Sources

1. BLS, labor force statistics by detailed industry
2. BLS, labor force statistics by detailed occupation
3. BLS, Women's Databook
4. BLS, foreign-born workers
5. BLS, people with a disability
6. BLS, veterans employment situation
7. BLS, age by detailed industry
8. Census Bureau, Annual Business Survey
9. Census Bureau, business ownership data
10. Census Bureau, Quarterly Workforce Indicators
11. EEOC, EEO data collections
12. Deloitte and the Manufacturing Institute, workforce study
13. NAM, Manufacturers' Outlook Survey