Manufacturing Wages Adjusted for Cost of Living by State

What cost-adjusted manufacturing pay measures

Nominal pay tells you the average cash payroll attached to one manufacturing job. Purchasing-power-adjusted pay tells you what that amount can buy after accounting for a state's overall price level. BEA defines Regional Price Parities as indexes that compare prices across states and metropolitan areas for a given year. An RPP of 110 means prices are about 10% above the national level. An RPP of 90 means they are about 10% below it. Read the BEA explanation of RPPs for the full methodology.

Our calculation is simple: average manufacturing payroll per employee multiplied by 100, then divided by the state's all-items RPP. Louisiana's $84,224 nominal manufacturing pay divided by its 88.207 price index produces $95,484 in national-price purchasing power. This does not mean the typical worker receives a $95,484 paycheck. It means the average paycheck has buying power comparable to $95,484 in a state priced at the national average.

This measurement solves a real comparison problem. California reports the highest nominal average at $89,048, but its 110.720 RPP reduces adjusted pay to $80,426. Kansas starts at $68,914, yet lower statewide prices lift its comparable buying power to $76,513. Salary alone misses that difference.

Manufacturing wages and cost of living in all 50 states

The table ranks states by adjusted pay, not nominal salary. Payroll per worker is calculated from the Census SUSB file. RPP is the BEA all-items state index for 2024. Every row uses the same formula and the same two federal sources.

Sources: U.S. Census Bureau SUSB state manufacturing file and BEA SARPP state file, 2008 to 2024. Adjusted pay is our calculation.

The 10 states where manufacturing pay goes furthest

Louisiana leads by a wide margin. Its $84,224 average payroll per employee is already among the highest nominal figures. Pair that with a below-average 88.207 price level, and its adjusted result reaches $95,484. The state's chemical and petroleum-heavy industry mix helps explain the high payroll figure. Cost adjustment then magnifies the advantage.

Wyoming ranks second at $85,577 in adjusted pay. Massachusetts and Connecticut follow despite above-average prices because their nominal manufacturing payroll remains high. California stays fifth, which is a useful reminder that expensive states can still rank well when advanced manufacturing salaries are high enough.

Kansas, Texas, and Iowa are the less obvious winners. Kansas rises from $68,914 in nominal pay to $76,513 after adjustment. Iowa moves from $65,934 to $75,128. Texas reaches $76,404. Their price levels, available in the BEA source file, allow a mid-to-high nominal wage to stretch further.

Washington rounds out the top 10 at $74,151 adjusted. Its nominal average is strong at $79,351, but an above-average RPP reduces its relative purchasing power. This is the pattern to watch when comparing recruiting offers across state lines. A five-figure salary difference can shrink quickly after housing, services, and goods prices enter the calculation.

Nominal wage leaders versus purchasing-power leaders

Raw payroll and real buying power answer different questions. California, Massachusetts, Connecticut, Louisiana, and Wyoming have the five highest nominal manufacturing pay figures in the Census dataset. After adjustment, Louisiana and Wyoming move ahead of the coastal states. California drops to fifth, while Kansas, Texas, and Iowa enter the top 10.

New Jersey shows the reverse effect clearly. Its $73,907 nominal average looks competitive. The state's 108.805 RPP brings adjusted pay down to $67,926, placing it 36th. New York moves from $70,061 nominal to $64,919 adjusted and ranks 41st. Those results do not say either state is a poor place to work. They show that state price levels consume more of the average manufacturing paycheck.

A manufacturer setting compensation bands should examine both columns. Nominal pay matters for recruiting because applicants see the posted dollar amount. Adjusted pay matters for retention because employees feel what remains after recurring expenses. When a plant competes nationally for controls engineers, machinists, quality leaders, or maintenance technicians, purchasing power can become a credible part of the recruiting story.

The Midwest and South affordability pattern

Several traditional manufacturing states cluster around $68,000 to $71,000 in adjusted pay. Ohio reaches $70,560, Missouri $70,587, Alabama $70,597, Indiana $69,279, Wisconsin $69,164, Kentucky $69,009, and Tennessee $68,779. Each calculation combines the corresponding Census payroll figure with the state's BEA price parity.

That tight band matters for employers. A plant comparing Ohio and Tennessee may find that average adjusted manufacturing pay differs by less than $1,800, even though labor market conditions, industrial mix, tax policy, logistics, and available skills differ. Cost of living is one input, not the entire site-selection decision.

Lower prices do not automatically produce a top ranking. Arkansas and Mississippi have two of the lowest RPPs in the nation, but lower nominal payroll keeps their adjusted figures near $64,500. Georgia also has a below-average price level, yet $59,912 in nominal manufacturing pay produces $62,218 adjusted. Strong purchasing power requires both a meaningful paycheck and manageable prices.

How manufacturers can use this benchmark

Recruiting and compensation

Use adjusted pay to pressure-test a wage offer against another state. If your nominal wage sits below the local manufacturing average but local prices are also low, the total offer may still compete. If your state is expensive, a nominal premium may only bring workers back to average purchasing power. Role-level BLS data should still set the final wage because this report averages every manufacturing occupation and subsector together.

Site selection and expansion

The ranking can flag states where workers receive relatively strong buying power without the employer necessarily paying the country's highest nominal payroll. Kansas and Iowa fit that description. Still, do not treat a state average as a quote for a particular plant. Metro-level housing costs, commute sheds, union coverage, benefits, shift premiums, overtime, and the required skill mix can move the actual labor budget sharply.

Sales territory planning

Payroll is also a rough signal of industrial complexity and employee spending capacity. States with high manufacturing pay may contain more aerospace, chemicals, semiconductors, medical devices, or other capital-intensive operations. For vendors, recruiters, training providers, and industrial marketers, that can help prioritize markets, but establishment count and subsector mix should be checked before reallocating a territory.

How this report differs from common wage measures

Wage data can look contradictory because federal programs measure different groups. The Bureau of Labor Statistics Occupational Employment and Wage Statistics program reports employment and hourly or annual wage estimates by occupation. That is the right source when you need the median wage for a machinist, industrial engineer, assembler, or another defined occupation. Our Census-based average wage covers everyone on manufacturing payroll, so it reflects each state's occupational and industry mix.

The Current Population Survey measures people and households. It supports analysis of the labor force, household income, wage and salary workers, demographic characteristics, and unemployment. The Current Employment Statistics program surveys establishments and publishes monthly manufacturing employment, average hourly wages, weekly hours, and overtime pay. Neither is interchangeable with annual payroll per employee from the Census Bureau.

Employer labor cost is broader still. The BLS Employment Cost Index tracks changes in wages, salaries, and benefits. Its companion employer cost data includes worker compensation beyond cash earnings. Health coverage, paid leave, retirement contributions, and legally required benefits can make employment cost substantially higher than wages earned. A plant comparing locations should build those items into its budget even though this ranking does not.

The distinction matters. An hourly wage is a rate. Annual payroll includes the effect of hours, bonuses, commissions, shift differentials, and overtime. Median salary identifies the midpoint worker, while average payroll can be pulled upward by high-wage engineers, executives, and specialized technical staff. Cost-adjusted payroll then applies a regional price index. Each measure is valid, but each answers a different question.

Cost of living, inflation, and regional prices are not the same thing

Cost of living compares the goods and services a household can buy in different places. Inflation measures price changes over time. The BLS Consumer Price Index tracks changes in consumer prices for urban consumers. BEA Regional Price Parities compare price levels between places in one period. That is why an RPP is the better tool for this state ranking, while CPI is better for asking how much prices rose during a 12-month period.

An inflation-adjusted wage series can show whether real average earnings improved from 2024 to 2025. It cannot, by itself, show whether the same salary buys more in Iowa than California. Likewise, a state RPP can show that Iowa is lower-cost, but it does not reveal whether Iowa's living costs increased faster since 2000 or during the late 1990s. Time and geography require different adjustments.

The Federal Reserve Bank of St. Louis FRED CPI series is useful for tracking national inflation and economic trends. FRED also distributes wage, manufacturing, personal income, productivity growth, and consumer demand series from federal agencies. Those series can explain rising pay or wage stagnation over time. They should not replace the BEA regional comparison used here.

Price measures are averages too. A single adult renting a small apartment faces a different household budget than a family of four paying for child care. American households also differ in transportation, health, food, housing, and tax costs. A statewide index cannot reproduce every budget, but it gives wage earners a consistent first-pass comparison that an unadjusted salary table cannot.

Why industry mix changes manufacturing wages by state

Manufacturing industries do not share one wage structure. Transportation equipment, aerospace, pharmaceuticals, chemicals, and computer products often require more engineers, technicians, and experienced skilled trades. Food, apparel, furniture, and some assembly operations can have more middle-wage or lower-wage workers. A state's average reflects the balance among those activities.

Louisiana's result is a good example. Chemical and petroleum operations are capital-intensive, safety-sensitive, and built around high-value output. That product mix supports high-wage occupations even though total manufacturing employment is smaller than in Texas, Ohio, or California. Wyoming shows a similar pattern at smaller scale. Connecticut and Massachusetts reach high wage levels through aerospace, instruments, electronics, medical products, and other technical manufacturing.

Durable goods and nondurable goods also react differently to the business cycle. Interest rates can slow machinery, vehicles, and other durable goods. Food and household essentials may respond less sharply. When consumer demand weakens, plants can reduce overtime, delay pay increases, or change hiring. Corporate profits, productivity gains, trade exposure, and automation investment also influence how much room employers have for broad-based wage growth.

Policy choices affect the floor and the bargaining environment, but they do not explain the whole ranking. The Department of Labor explains the federal minimum wage and Fair Labor Standards Act requirements. State minimums, union contracts, prevailing local wage rates, and labor availability can all raise pay above that floor. Most skilled manufacturing jobs in this comparison pay more than the federal minimum wage because employers compete for specific capabilities, not because one national standard sets the market rate.

A practical way to compare two job offers

Start with the offered wage and salary, not the state average. Add expected hourly overtime, shift differential, bonus, and employer benefits. Then compare housing and commuting in the actual metro areas. BEA state RPP is useful for screening, but local rent can dominate a worker's budget. A lower-cost state may contain one expensive metro, while a high-cost state may contain affordable industrial towns.

Next, compare take-home cash and recurring expenses. State income tax, health premiums, child care, transportation, and retirement contributions can change total income available for daily use. If one offer pays $5,000 less but housing costs $8,000 less each year, the lower nominal offer may still win. If it also provides weaker insurance or requires a long commute, the apparent advantage can disappear.

Finally, consider career value. A lower current salary at a plant with funded training, modern equipment, and a clear promotion path can outperform a higher starting rate over several years. The reverse is also true. A high nominal offer does not compensate forever for unpredictable hours, stagnant skills, or weak management. Purchasing power is one piece of a job decision, not a verdict.

Employers can use the same process in reverse. Compare your offer with local occupation data, calculate its approximate purchasing power, and explain the full package plainly. Workers are more likely to trust a recruiting pitch that shows the actual wage, benefits, schedule, and local cost context than one that simply calls the area affordable.

How to reproduce and update the ranking

Researchers can reproduce this table without a proprietary database. Download the Census SUSB state file, filter the industry field to manufacturing NAICS 31-33, and aggregate employment and annual payroll for each state. Divide payroll by employment to calculate nominal pay per worker. Keep the raw dollar units straight because published Census tables may report payroll in thousands of dollars.

Next, download the BEA SARPP ZIP archive. Select table SARPP, line code 1, which is the all-items regional price parity. Use the newest year that has a value for all 50 states. Join the two files by state name or FIPS code. For each state, calculate nominal pay × 100 ÷ RPP, then rank the results from highest to lowest.

Do not mix an RPP subcategory with the all-items series unless the label says so. Housing RPP can answer a useful question about shelter, but it cannot represent the full cost-of-living basket. Also check for revised BEA values. Regional accounts are updated, so a previously downloaded 2024 value may differ slightly from a later vintage. Store the download date and source URL with your work.

For a future edition, replace both inputs together when possible. A new Census year will update manufacturing wages, employment, and the effect of industry mix. A new BEA year will update relative prices. If only one source changes, state clearly that the benchmark combines different vintages, as this page does.

A more detailed model could use metro RPPs and BLS occupation wages. That would allow a machinist in Wichita to be compared with a machinist in Seattle, rather than comparing statewide manufacturing averages. It would also require decisions about occupation codes, suppressed estimates, commuting areas, and benefit assumptions. The state model remains useful because it is transparent, repeatable, and broad enough to cover every state on a single table.

Limits of the data

The wage input is average annual payroll divided by manufacturing employment. It includes production workers, managers, engineers, office staff, overtime, bonuses, and other taxable payroll. It excludes employer-paid benefits. It is not a median, and it is not a promised salary for an individual job. Industry mix can move the average substantially.

RPP is a statewide all-items price measure. A plant in San Francisco does not face the same housing market as a plant in Fresno. The same is true for New York City and upstate New York, or Austin and rural Texas. BEA publishes metro-area parities for users who need finer geography, as explained in its regional price parity guide.

The inputs come from different reference years because federal datasets have different publication schedules. Census payroll and employment come from the 2022 SUSB state file, while price levels use BEA's 2024 release. This report is a cross-dataset benchmark, not an estimate of 2026 payroll. We label the vintage so researchers can reproduce or update the calculation.

Finally, adjusted pay is not disposable income. Taxes, household size, health costs, debt, commuting, and housing choices differ by worker. Use the number to compare broad state labor markets, then move to occupation and metro data before making an offer or investment decision.

What the ranking does not say about productivity

High adjusted pay should not be read as high or low factory productivity. Payroll per employee measures labor earnings, not units produced, value added, quality, uptime, or revenue. A refinery or chemical plant can generate enormous output with a small workforce. A labor-intensive assembly plant can employ far more people while reporting lower output per worker. Both may be well-run operations.

For a site decision, pair this wage table with state manufacturing GDP, output per worker, utility rates, freight access, tax costs, and the depth of the required occupations. For a job decision, pair it with the actual shift, benefits, commute, and advancement path. The ranking is strongest as a screening tool because it makes one hidden variable, regional purchasing power, visible and comparable.

Frequently asked questions

Which state has the best cost-adjusted manufacturing pay?

Louisiana ranks first at $95,484 in national-price purchasing power, calculated from $84,224 average payroll and an 88.207 RPP.

Which state has the highest nominal manufacturing pay?

California has the highest nominal average in the underlying Census manufacturing payroll dataset at $89,048 per employee.

What does an RPP below 100 mean?

It means the state's overall price level is below the national level for that year. The BEA methodology explains how goods, services, rents, and other price categories form the index.

Is adjusted pay the same as salary?

No. Adjusted pay is an analytical purchasing-power figure. The worker receives nominal dollars. The adjusted number shows what those dollars can buy relative to a national-price location.

Cite this resource

Sources