Manufacturing Wages by Metro Area (2026)

National manufacturing wage snapshot

The raw metro data shows how broad US manufacturing still is. Across the 378 metro and micro labor markets in this dataset, manufacturers employed 10.25 million workers and paid $776.2 billion in annual payroll. That produces an average annual pay figure of $75,709. It sits below the full national manufacturing average because County Business Patterns uses employer payroll and headcount by establishment geography, while the BLS monthly industry series reports hourly earnings from a different survey frame.

On the BLS side, all manufacturing employees averaged $36.07 per hour in December 2025. Annualized over a 2,080-hour work year, that works out to roughly $75,026, which is remarkably close to the metro payroll figure. That overlap matters because it suggests the metro payroll view is directionally reliable for compensation benchmarking, even though it is not the same as an occupation-by-occupation wage survey.

Manufacturing also continues to punch above its weight economically. The National Association of Manufacturers reports average total compensation of $106,691 per manufacturing employee in 2024, including benefits, and says every $1.00 spent in manufacturing generates $2.69 in economic output. Meanwhile, the Bureau of Economic Analysis shows manufacturing remains one of the largest private industry contributors to US GDP. That means wage benchmarks are not just an HR concern. They shape plant economics, retention, and how aggressively a region can compete for new factory investment.

Highest-paying manufacturing metros

The highest-paying factory labor markets are not all traditional Rust Belt hubs. The top of the ranking mixes semiconductor and advanced electronics clusters in California, petrochemical-heavy Gulf Coast markets, and a few smaller specialized production centers. Based on Census manufacturing payroll and employment data by metro area, Bloomington, Illinois leads the country at $168,994 in average annual manufacturing pay. San Francisco is next at $154,388, followed by San Jose at $144,880.

A pattern shows up quickly. Metros with expensive engineering talent, high-value output per worker, or large chemical and energy complexes tend to sit near the top. Lake Charles, Beaumont-Port Arthur, Baton Rouge, and Corpus Christi all rank highly, which lines up with the heavy presence of refining, chemicals, LNG-related fabrication, and process manufacturing in those markets. By contrast, some high-concentration factory towns pay less because they are dominated by lower-margin or labor-intensive subsectors.

That is why average pay alone can mislead if you ignore local industry mix. A metro paying $95,000 with a strong precision manufacturing base may be easier to staff than a metro paying $70,000 where every shop is chasing the same machinists. Smart operators compare pay, concentration, and plant density together.

Source for every metro in the table: US Census Bureau County Business Patterns, metro manufacturing payroll and employment.

Largest manufacturing payroll hubs

If you care more about the total size of a factory economy than the average paycheck, annual payroll is the better lens. On that measure, the leaders are the biggest diversified industrial metros. Los Angeles tops the list at $34.7 billion in annual manufacturing payroll, followed by Chicago at $28.1 billion and Dallas-Fort Worth at $22.6 billion.

This ranking matters for service providers, recruiters, software vendors, and industrial marketers because large payroll metros usually mean dense supplier ecosystems, more plant counts, and more decision-makers. They are also the markets where wage pressure can spread fastest because there are so many employers fishing in the same labor pool.

There are two useful takeaways here. First, scale still wins. Los Angeles, Chicago, Dallas-Fort Worth, and New York do not top the pay ranking, but they pay out huge payroll totals because of their sheer manufacturing base. Second, a few high-pay innovation centers also make the payroll top 15. San Francisco, Seattle, Boston, and San Jose all convert relatively smaller workforces into very large payroll totals because each worker commands more pay.

That split is useful for B2B growth strategy. If you sell workforce tech, plant services, or industrial software, large payroll metros are often the best TAM targets. If you sell hard-to-hire talent solutions or automation ROI, the high-pay metros can be even more attractive because labor substitution economics are stronger there.

Metros where manufacturing dominates local jobs

Some labor markets do not have the biggest payroll totals, but they are deeply tied to manufacturing. To identify those places, we compared metro manufacturing employment from NAICS 31-33 with total local employment from the County Business Patterns all-industry metro file. Russellville, Alabama leads the list, with manufacturing accounting for 59.5 percent of local jobs. Elkhart-Goshen is right behind at 55.7 percent.

These markets matter because concentration changes recruiting dynamics. In a place where nearly half the workforce is tied to factories, retention, skills training, and succession planning become local economic issues, not just company issues. For plant operators, concentration also gives a quick signal on how intense local competition for labor is likely to be.

How to read metro manufacturing wage estimates correctly

The most common mistake with metro payroll data is treating it like a perfect salary survey. It is not. County Business Patterns shows payroll and headcount by establishment location, which makes it excellent for comparing manufacturing production clusters, overall employment and wages, and labor market size. It does not tell you the average hourly pay for each occupation inside the plant. If you need hourly compensation for welders, machinists, maintenance technicians, or manufacturing engineers, use BLS wage estimates alongside this page.

The second mistake is ignoring specialization. High annual wage markets often carry a different occupational mix than lower-cost markets. Semiconductor and electronics hubs tend to support higher salary levels than furniture, food, or labor-intensive assembly markets. That is why terms like metropolitan area, metropolitan labor market, and industry jobs all matter. You are not just comparing pay. You are comparing the local structure of manufacturing.

If you want one more layer of context, add a location quotient view from BLS QCEW or OEWS data. A strong location quotient tells you whether a metro is more specialized in factory work than the nation overall. In practice, the concentration tables on this page often point you toward the same places a location quotient analysis would flag first.

For deeper career planning, pair this dataset with BLS occupational employment and wage estimates for metropolitan and nonmetropolitan areas. That helps you separate plantwide payroll from role-specific pay, track regional jobs trends, and see where new jobs may open fastest. It also helps when you want to adjust old wage assumptions for inflation, compare them against the Employment Cost Index, or explain why Minnesota and Minnesota's Twin Cities labor market support different compensation patterns than many lower-cost USA regions.

Regional patterns behind the wage numbers

California is expensive, but not all for the same reason

California shows up repeatedly in both the pay and payroll rankings, but the story changes by metro. San Francisco and San Jose are driven by advanced electronics, instrumentation, life sciences, and other high-value industry sectors where engineering and technology labor carry a bigger share of payroll. Los Angeles is different. It is less about extreme pay per worker and more about sheer scale. With 435,021 manufacturing jobs and 14,403 manufacturing establishments, Los Angeles wins because it is still one of the deepest supplier ecosystems in the country.

That difference matters for any firm comparing sites or sales territories. A Bay Area metro may support advanced automation, aerospace, and clean technology buyers with larger budgets, while Southern California offers more domestic supplier density and a broader range of contract manufacturing capacity. Same state, very different operating logic.

The Gulf Coast is a pay leader because process industries pay differently

Lake Charles, Beaumont-Port Arthur, Baton Rouge, Corpus Christi, and New Orleans all land near the top of the pay table. That should not be read as a generic signal that every factory worker in those metros earns six figures. It usually points to the economics of chemicals, refining, energy-linked manufacturing, and capital-intensive plants where downtime is expensive and skilled labor commands a premium. In those markets, compensation often reflects risk, technical complexity, and the value of keeping output running continuously.

For investors and operators, this is where metro wage data becomes strategic. High payroll markets can still be attractive if automation reduces direct labor as a share of total cost. They can also justify more aggressive retention budgets because replacing specialized maintenance, controls, or process talent in those labor pools is not cheap.

The Midwest still owns the concentration story

If you care about factory culture and labor depth more than headline pay, the Midwest remains hard to beat. Elkhart-Goshen, Kendallville, Auburn, Decatur, Sidney, Wapakoneta, and Sturgis all rank near the top for manufacturing share of local employment. These are places where suppliers, tooling, machining, fabrication, and plant operations are part of the local business identity, not just one industry among many.

That concentration can be a major advantage if you need dependable production labor, supervisors who understand plant rhythm, or a regional base for industrial sales. It can also mean a tighter talent market because experienced people have plenty of options nearby. In other words, concentration tends to lower the training burden and raise the retention burden at the same time.

How manufacturers should use this wage data

For site selection

Start with a short list built around concentration and payroll, not just average pay. A market like Elkhart-Goshen tells you manufacturing talent is plentiful, but it also tells you your plant will enter a very mature factory ecosystem. A market like Seattle tells you wages are high, yet those wages may track stronger technical talent and more advanced production capabilities. If you are evaluating automation-heavy production, the second type of market may pencil out better than it first appears.

For compensation planning

Use the metro average as the outside boundary for your local labor budget, then layer in occupation-level data from BLS. For example, a metro with $95,000 average manufacturing payroll per worker may still support machinist wages that are well below that if the region has a big share of engineers, electronics, or chemical processing roles. This page gives you the market temperature. Your comp bands still need role-level validation.

For lead generation and sales coverage

If you market to manufacturers, large payroll metros are usually the best combination of account density and spend capacity. The top payroll markets on this page are not random. They are where the biggest clusters of plants, suppliers, and industrial buyers sit. If you sell ERP, recruiting, automation, quality systems, or contract manufacturing services, those metros deserve dedicated campaigns and local landing pages.

Questions this dataset can help answer

Which metros combine strong pay with real factory scale?

A high annual wage number means more when it sits next to meaningful employment. San Francisco and San Jose make that cut. So do Seattle and Boston. These are not tiny statistical oddities. They are large metropolitan area labor markets where manufacturers collectively pay premium wages and still employ a serious base of workers. For advanced manufacturing companies, those metros often signal deep technical ecosystems rather than simple cost inflation.

Which metros look cheaper, but may be harder to recruit in?

Markets with lower average pay but very high manufacturing concentration can be deceptive. On paper they look affordable. In practice, a plant may be competing with nearly every major local employer for the same maintenance techs, welders, operators, and production leaders. That is why a raw annual wage figure should never be used without concentration context.

Where should industrial marketers focus first?

If you sell software, automation, logistics, or recruiting services into manufacturing, start with metros that sit high on the payroll table and still show healthy plant density. They usually have the best mix of budget, account volume, and ongoing hiring activity. You do not need every market in the USA to produce results. You need the ones where manufacturing is large enough to support repeated deal flow.

What the long-term wage picture suggests

The long-term lesson is straightforward. U.S. manufacturing pay is not converging into one national average. It is splitting by specialization, capital intensity, and local labor depth. Metros tied to advanced technology, aerospace, chemicals, or large-scale process operations are likely to keep paying above-market wages annually because the cost of mistakes is high and the value created per worker is high. Metros built around smaller plants, lower-margin production, or natural resources processing may still offer strong opportunities, but they will behave differently on compensation.

That is why this kind of metro data is useful for more than a one-time benchmark. It helps track industry trends, pressure-test old assumptions, and make smarter calls on recruiting, automation, expansion, and market focus. If your team is still using state averages or a 2001-era playbook for factory labor planning, you are probably missing what the local market is really telling you.

Methodology

We pulled metro and micro area records from the 2023 County Business Patterns manufacturing file and the matching all-industry metro file. Manufacturing is defined as NAICS 31-33. Average annual pay is calculated as annual payroll divided by employment. Manufacturing share of local jobs is calculated as manufacturing employment divided by total all-industry employment for the same metro or micro area.

We excluded very small markets by limiting the analysis to labor markets with at least 5,000 manufacturing employees. That keeps the rankings from being distorted by tiny places where one plant can dominate the payroll math. The underlying County Business Patterns release was published by the Census Bureau in 2025 for the 2023 reference year, see the official release notice here.

National wage context comes from the BLS manufacturing industry profile. Broader compensation and economic impact context comes from the NAM facts about manufacturing dataset and BEA industry GDP data.

Cite this data

Sources

• US Census Bureau API, County Business Patterns 2023, metro manufacturing payroll and employment (NAICS 31-33)
• US Census Bureau API, County Business Patterns 2023, metro all-industry employment (NAICS 00)
• US Census Bureau API, County Business Patterns 2023, national manufacturing totals
• US Census Bureau, County Business Patterns program overview
• US Census Bureau, 2023 County Business Patterns release announcement
• Bureau of Labor Statistics, Manufacturing: NAICS 31-33 industry profile
• National Association of Manufacturers, Facts About Manufacturing
• Bureau of Economic Analysis, GDP by Industry