State Manufacturing Workforce Data
Manufacturing Employment Recovery by State: 2019 to 2024
Five years after the last pre-pandemic benchmark, the factory-job recovery looks very different from one state to the next. This report compares annual average private manufacturing employment in 2019 and 2024, showing exactly where jobs returned, where growth accelerated, and where employment remained below its earlier level.
Last updated: August 6, 2026 | Comparison years: 2019 and 2024 annual averages
+67,721
Texas jobs since 2019, largest numeric gain
+12.0%
Nevada five-year growth, fastest among states
-74,861
California jobs since 2019, largest numeric decline
State manufacturing employment recovery table
This table compares the 2019 BLS QCEW annual average with the 2024 annual average for private NAICS 31-33 manufacturing. Change and recovery percentages are calculated directly from those two linked federal source values. A recovery index of 100 means a state exactly matched its 2019 job level. An index above 100 means it exceeded that benchmark.
Sources: BLS QCEW 2019 annual file and BLS QCEW 2024 annual file. Hawaii's 2024 employment is suppressed by BLS.
What the five-year recovery data shows
Twenty-three states finished 2024 at or above their 2019 private manufacturing employment level, based on our calculation from the 2019 QCEW file and 2024 QCEW file. Twenty-six states finished below the benchmark. Hawaii cannot be classified because its 2024 employment value was suppressed. Puerto Rico also exceeded its benchmark, while the Virgin Islands remained below it. This split is why a national headline alone is a poor guide to local factory conditions.
The strongest percentage recoveries were concentrated in several western and southern states. Nevada rose from 59,279 jobs in 2019 to 66,391 in 2024, an increase of 7,112 jobs or 12.0% after rounding from the source values. Utah climbed from 136,085 to 152,131, adding 16,046 jobs for an 11.8% gain. Florida added 43,541 jobs, moving from 383,956 to 427,497, an 11.3% increase.
Puerto Rico also moved well above its earlier benchmark, from 74,836 private manufacturing jobs to 82,629. That is a gain of 7,793 jobs, or 10.4%. Idaho increased 9.1%, Arizona increased 9.2%, North Dakota increased 6.6%, and Alabama increased 6.0%, based on the same linked annual files.
Big job gains are not always the fastest growth rates
Texas produced the largest numeric gain, adding 67,721 manufacturing jobs between its 2019 level of 905,953 and its 2024 level of 973,674. Its 7.5% growth rate ranked below several smaller states, but the number of added jobs was greater than the total manufacturing workforce of many states. Florida ranked second by numeric gain with 43,541. Georgia added 22,686, Utah added 16,046, Alabama added 16,236, and Arizona added 16,352.
For suppliers and recruiters, absolute and percentage changes answer different questions. Absolute growth describes how much the market expanded. Percentage growth describes speed relative to the starting base. A seller that needs hundreds of target plants may favor the large numeric gain. A site selector looking for emerging momentum may focus on the rate, then confirm that the underlying workforce is large enough.
States still below the 2019 benchmark
California recorded the largest numeric gap, moving from 1,322,455 private manufacturing jobs in 2019 to 1,247,594 in 2024. The difference was 74,861 jobs, or 5.7%. New York was down 25,861, Michigan was down 24,923, Washington was down 19,268, Ohio was down 18,544, Indiana was down 17,953, and Wisconsin was down 17,570.
Vermont had the largest percentage gap among states with disclosed values, declining from 30,091 to 27,434, or 8.8%. Washington was 6.6% below its earlier level. Oregon was 5.9% below, New York was 5.9% below, California was 5.7% below, and Massachusetts was 5.4% below. The Virgin Islands showed a larger percentage decline, but it is a territory with a very small published base of 712 jobs in 2019.
A below-benchmark result does not establish why employment changed. Productivity gains can allow a plant to raise output with fewer workers. A state may also lose jobs through closures, automation, mergers, outsourcing, reclassification or a shift in subsector mix. QCEW measures covered employment. It does not assign a cause.
Why 2019 is the comparison year
Calendar year 2019 is the last full annual benchmark before the sharp pandemic-era disruption of 2020. Comparing annual averages reduces the noise that comes with choosing a single month. It also sets a harder test than measuring from the depressed 2020 base. A state counts as recovered here only when its 2024 annual average equals or exceeds its own 2019 annual average.
This definition is transparent, but it is not the only valid definition of recovery. Employment can recover while inflation-adjusted pay, output or hours do not. Production can recover while headcount remains lower. A newer plant may replace several older sites with fewer employees. Readers should treat the recovery index as one workforce benchmark and pair it with output, productivity and capital-investment data for operating decisions.
How this employment data differs from monthly job reports
The QCEW source measures covered employment in manufacturing industries through administrative records. It is different from the BLS Current Employment Statistics survey, which produces the familiar monthly total nonfarm employment headlines. Current Employment Statistics can show recent labor market direction, while QCEW supports detailed state and industry comparisons after a reporting lag. This report uses QCEW because the manufacturing sector detail is consistent across states.
Total employment and total nonfarm figures describe a much broader economy than US manufacturing alone. They include services, construction and other industries. Within manufacturing, durable goods and nondurable goods can also move in different directions. Transportation equipment, food production and chemical manufacturing have different plant footprints and hiring cycles. State-level employment growth can therefore reflect the local mix of manufacturing employees, not one nationwide trend.
The newest full annual comparison available in the downloaded source is 2024. Monthly and preliminary releases continued into 2025, but mixing a partial year with annual averages would weaken the comparison. The Census Bureau and Bureau of Economic Analysis publish useful establishment, shipment, output and GDP measures. Those series answer different questions, so they are not blended into this headcount recovery index.
Manufacturing employment by state table
The table below uses BLS QCEW 2024 annual data for private-sector NAICS 31-33 manufacturing. Employment is the annual average, not a single-month snapshot. Establishments are physical worksites, so one company can operate several establishments. Pay covers gross payroll before deductions and includes bonuses, stock options and other covered remuneration. Every number in the table traces to the linked BLS source file.
| State or territory | Jobs | Establishments | Annual pay | Weekly wage | Job change | Location quotient |
|---|---|---|---|---|---|---|
| Alabama | 285,184 | 7,072 | $73,670 | $1,417 | +1.5% | 1.65 |
| Alaska | 11,967 | 679 | $67,323 | $1,295 | -6.3% | 0.44 |
| Arizona | 193,962 | 5,874 | $98,851 | $1,901 | -0.2% | 0.73 |
| Arkansas | 161,999 | 2,966 | $61,224 | $1,177 | -0.5% | 1.52 |
| California | 1,247,594 | 44,838 | $122,468 | $2,355 | -6.2% | 0.84 |
| Colorado | 148,909 | 5,910 | $89,774 | $1,726 | -1.5% | 0.63 |
| Connecticut | 155,773 | 4,566 | $100,701 | $1,937 | -1.1% | 1.13 |
| Delaware | 26,676 | 822 | $76,813 | $1,477 | -0.5% | 0.68 |
| Florida | 427,497 | 26,843 | $81,973 | $1,576 | +1.6% | 0.53 |
| Georgia | 426,771 | 13,487 | $72,390 | $1,392 | +0.6% | 1.07 |
| Hawaii | Not disclosed | 1,183 | Not disclosed | Not disclosed | Not disclosed | Not disclosed |
| Idaho | 74,639 | 3,946 | $79,165 | $1,522 | +0.7% | 1.06 |
| Illinois | 578,389 | 19,326 | $87,924 | $1,691 | 0.0% | 1.16 |
| Indiana | 523,146 | 9,431 | $79,292 | $1,525 | -1.9% | 2.00 |
| Iowa | 222,310 | 4,243 | $74,639 | $1,435 | -1.8% | 1.73 |
| Kansas | 174,495 | 3,452 | $73,072 | $1,405 | +0.7% | 1.49 |
| Kentucky | 257,659 | 7,146 | $75,166 | $1,446 | +0.4% | 1.58 |
| Louisiana | 140,580 | 4,576 | $92,106 | $1,771 | +1.0% | 0.89 |
| Maine | 51,820 | 1,862 | $70,453 | $1,355 | -2.7% | 0.97 |
| Maryland | 112,981 | 4,978 | $99,719 | $1,918 | -0.8% | 0.50 |
| Massachusetts | 231,186 | 6,842 | $105,649 | $2,032 | -2.5% | 0.77 |
| Michigan | 600,753 | 19,736 | $82,422 | $1,585 | -2.0% | 1.66 |
| Minnesota | 320,271 | 8,550 | $83,280 | $1,602 | -1.7% | 1.33 |
| Mississippi | 141,366 | 2,408 | $62,256 | $1,197 | -2.4% | 1.47 |
| Missouri | 284,855 | 8,429 | $74,552 | $1,434 | -0.7% | 1.20 |
| Montana | 21,411 | 1,883 | $68,803 | $1,323 | -1.3% | 0.51 |
| Nebraska | 104,358 | 1,928 | $65,436 | $1,258 | -0.4% | 1.25 |
| Nevada | 66,391 | 2,172 | $75,367 | $1,449 | +0.8% | 0.52 |
| New Hampshire | 68,487 | 2,044 | $92,560 | $1,780 | -2.6% | 1.21 |
| New Jersey | 253,006 | 9,808 | $99,560 | $1,915 | +0.3% | 0.72 |
| New Mexico | 28,669 | 1,584 | $70,635 | $1,358 | 0.0% | 0.40 |
| New York | 411,179 | 17,218 | $84,752 | $1,630 | -1.8% | 0.52 |
| North Carolina | 465,130 | 11,477 | $74,559 | $1,434 | -0.9% | 1.16 |
| North Dakota | 28,225 | 898 | $70,827 | $1,362 | -0.1% | 0.80 |
| Ohio | 682,242 | 16,301 | $76,503 | $1,471 | -0.7% | 1.50 |
| Oklahoma | 140,777 | 4,158 | $70,892 | $1,363 | +1.2% | 1.01 |
| Oregon | 186,012 | 7,262 | $90,354 | $1,738 | -2.0% | 1.14 |
| Pennsylvania | 563,001 | 14,584 | $77,198 | $1,485 | -0.6% | 1.14 |
| Rhode Island | 39,858 | 1,480 | $71,956 | $1,384 | -1.3% | 0.98 |
| South Carolina | 263,741 | 9,338 | $75,698 | $1,456 | +0.3% | 1.41 |
| South Dakota | 45,087 | 1,044 | $63,416 | $1,220 | -0.5% | 1.20 |
| Tennessee | 362,430 | 9,654 | $75,222 | $1,447 | -0.4% | 1.35 |
| Texas | 973,674 | 30,070 | $94,441 | $1,816 | +1.9% | 0.85 |
| Utah | 152,131 | 5,754 | $75,550 | $1,453 | 0.0% | 1.08 |
| Vermont | 27,434 | 1,108 | $71,831 | $1,381 | -3.7% | 1.08 |
| Virginia | 242,349 | 8,980 | $74,332 | $1,429 | -0.6% | 0.72 |
| Washington | 271,058 | 8,040 | $96,726 | $1,860 | 0.0% | 0.92 |
| West Virginia | 46,027 | 1,462 | $73,776 | $1,419 | -0.1% | 0.81 |
| Wisconsin | 465,626 | 8,924 | $71,806 | $1,381 | -1.9% | 1.92 |
| Wyoming | 10,414 | 644 | $79,084 | $1,521 | -0.2% | 0.45 |
| Puerto Rico | 82,629 | 2,140 | $45,408 | $873 | -0.4% | 1.06 |
| Virgin Islands | 529 | 67 | $61,255 | $1,178 | -1.5% | 0.18 |
Source: BLS QCEW 2024 Annual Averages by Industry, NAICS 31-33 Manufacturing. Hawaii employment and wage measures are marked “Not disclosed” because BLS suppresses values that could reveal information about an individual employer. Its establishment count remains publishable.
Which states have the most manufacturing jobs?
California led the country with 1,247,594 private manufacturing jobs in 2024. Texas followed with 973,674. Ohio, Michigan and Illinois completed the top five with 682,242, 600,753 and 578,389 jobs, respectively. Pennsylvania ranked sixth at 563,001, while Indiana ranked seventh at 523,146.
That ranking needs context. A big state usually has more of almost every kind of job. Raw employment measures the size of the addressable labor pool and supplier market. It does not measure how dependent a state is on manufacturing. For that, the location quotient column is the better tool.
California and Texas illustrate the distinction. Together they accounted for more than 2.22 million private manufacturing jobs, yet their location quotients were 0.84 and 0.85. Both had a smaller manufacturing share of private employment than the nation. They are huge factory markets because their entire economies are huge.
The top 10 states by manufacturing employment
The leaders were California at 1,247,594, Texas at 973,674, Ohio at 682,242, Michigan at 600,753, Illinois at 578,389, Pennsylvania at 563,001, Indiana at 523,146, Wisconsin at 465,626, North Carolina at 465,130 and Florida at 427,497. Georgia sat just behind Florida with 426,771. For industrial sales teams, these figures provide a quick first pass at market density. They should not be the only filter. Product fit, subsector mix, plant size and capital spending matter just as much.
Where manufacturing is most concentrated
A location quotient compares an industry's share of local employment with its share nationally. The BLS explanation of location quotients defines a value of 1.00 as equal to the national concentration. A value above 1.00 means the industry has a larger local employment share. A value below 1.00 means it has a smaller share.
Indiana posted the highest state manufacturing employment location quotient at 2.00. Manufacturing therefore occupied twice the share of Indiana's private employment that it occupied nationally. Wisconsin followed at 1.92, Iowa at 1.73, Michigan at 1.66 and Alabama at 1.65. Kentucky, Arkansas, Ohio, Kansas and Mississippi also recorded quotients of 1.47 or higher.
Concentration changes how a market behaves. A dense industrial base tends to support more specialized maintenance contractors, tooling suppliers, automation integrators, technical schools and experienced production workers. It can also create intense competition for machinists, maintenance technicians and engineers. The quotient is a signal, not proof of an easy operating environment.
The lowest disclosed state quotients were New Mexico at 0.40, Alaska at 0.44, Wyoming at 0.45, Maryland at 0.50 and Montana at 0.51. Those values don't mean manufacturing is absent. Maryland still supported 112,981 private manufacturing jobs, for example. They show that manufacturing held a smaller portion of each state's private job base.
Which states added manufacturing jobs?
Growth was uneven. Texas recorded the strongest percentage gain among the largest factory states, up 1.9% from 2023. Florida increased 1.6%, Alabama increased 1.5%, and Oklahoma increased 1.2%. Louisiana grew 1.0%, while Nevada, Idaho and Kansas each gained between 0.7% and 0.8%.
Several large markets moved the other direction. California manufacturing employment declined 6.2%, Michigan declined 2.0%, Indiana and Wisconsin each declined 1.9%, and Iowa declined 1.8%. A one-year decrease can reflect layoffs, plant closures, restructuring, a change in business classification or normal industry cycles. It should not be read as a permanent verdict on a state's industrial base.
Alaska had the steepest disclosed state percentage decline at 6.3%, but its base was only 11,967 jobs. Percentage swings look larger when the denominator is small. Compare both the rate and the number of jobs before drawing conclusions.
Manufacturing pay by state
California reported the highest disclosed average annual manufacturing pay at $122,468. Massachusetts followed at $105,649, Connecticut at $100,701, Maryland at $99,719, New Jersey at $99,560, and Arizona at $98,851. Washington and Texas also exceeded $94,000.
These are industry averages, not the salary for a typical production worker. The QCEW figure blends executives, engineers, technicians, production employees and support staff across every manufacturing subsector. A state with a large pharmaceutical, semiconductor or aerospace cluster can show higher average pay than one weighted toward food processing, apparel or furniture.
Average annual pay also isn't a cost-of-living adjustment. A $90,000 payroll expense in Oregon and the same expense in New York can produce different real purchasing power and recruiting outcomes. Use the figure for labor-cost screening, then check occupation-level wages, benefits, overtime, payroll taxes and local living costs before building a plant budget.
What establishment counts reveal
California had 44,838 private manufacturing establishments, the largest count in the dataset. Texas had 30,070, Florida had 26,843, Michigan had 19,736, and Illinois had 19,326. Establishments represent worksites rather than corporate parents. A manufacturer with plants in three counties can appear three times.
Dividing jobs by establishments gives a rough sense of average site scale, but it is not a published plant-size statistic. Multi-establishment companies, administrative locations and disclosure rules can affect the comparison. Nebraska, Mississippi and Indiana show relatively high employment per establishment in this table. Montana, Hawaii and Alaska show smaller average footprints. For a sales territory, establishment count often says more about the number of potential accounts than statewide job totals do.
A territory with many smaller establishments may require a broad outbound list, local search visibility and distributor coverage. A territory dominated by large plants may reward account-based research and longer procurement cycles. Neither market is inherently better. The sales motion is different.
How to use this data
For plant location and expansion research
Start with employment and the location quotient. A large employment base suggests labor and supplier depth. A high quotient suggests manufacturing specialization. Add wage data to understand broad payroll pressure, then investigate the exact NAICS subsector and occupations you need. State averages can hide sharp differences between metro areas and rural counties.
For manufacturing sales territories
Employment measures the scale of production activity, while establishment count approximates the number of physical targets. Growth indicates recent momentum. A sensible territory score can combine all three, with weights based on what you sell. A machine-tool company may care more about metalworking subsectors and capital investment. A staffing firm may care more about employment, openings and turnover. An industrial cleaning company may value establishment density.
For workforce planning
Average pay is useful for a first screen, but occupation data is required for hiring plans. The QCEW program measures industry employment and wages from unemployment-insurance records. It does not tell you what machinists, welders or industrial engineers earn separately. Pair this table with BLS Occupational Employment and Wage Statistics when setting role-specific ranges.
Methodology and definitions
We downloaded the 2024 QCEW annual-by-industry CSV archive, selected NAICS 31-33 Manufacturing, selected private ownership code 5, and retained statewide records. The table includes all state or state-equivalent records returned in the file. The District of Columbia is not present as a publishable statewide private manufacturing row in the selected industry file. Puerto Rico and the Virgin Islands are included and labeled as territories.
According to the BLS annual averages guide, annual average employment is calculated from the 12 monthly employment levels. Annual average establishments are calculated from quarterly establishment counts. Average annual pay is total annual wages divided by annual average employment. Average weekly wage is total annual wages divided by annual average employment and then divided by 52.
The year-over-year column is the BLS over-the-year percentage change in annual average employment. The location quotient is the BLS annual average employment location quotient. Figures are displayed as published. We did not estimate suppressed employment or wage values. Hawaii's establishment count is shown because BLS publishes it, while its other measures remain suppressed.
QCEW covers more than 95% of U.S. jobs through state unemployment-insurance records and federal worker records. This page uses private ownership only, keeping comparisons focused on commercial manufacturers. The dataset may be revised by BLS, and classification changes can affect comparisons between years.
Questions about state manufacturing employment
What state has the most manufacturing jobs?
California had the most private manufacturing jobs in 2024, with an annual average of 1,247,594. Texas ranked second at 973,674.
What state depends most heavily on manufacturing?
Indiana had the highest state manufacturing employment location quotient at 2.00. That means manufacturing's share of Indiana private employment was twice the corresponding national share. Wisconsin ranked second at 1.92.
Which state pays manufacturing workers the most?
California had the highest disclosed average annual pay for private manufacturing, at $122,468. This industry-wide average includes every covered role and is not a median worker salary.
Does this table include government manufacturing jobs?
No. It uses QCEW private ownership code 5. Federal, state and local government ownership records are excluded.
Cite this resource
Suggested citation
Manufacturing Lead Generation. “Manufacturing Employment by State: 2024 Jobs, Pay and Growth Data.” Updated August 6, 2026. https://manufacturingleadgeneration.com/manufacturing-employment-by-state/
Sources
- U.S. Bureau of Labor Statistics, QCEW 2019 Annual Averages by Industry CSV archive. Starting employment benchmark for every five-year comparison.
- U.S. Bureau of Labor Statistics, QCEW 2024 Annual Averages by Industry CSV archive. Source for every state employment, establishment, pay, wage, growth and location quotient figure.
- U.S. Bureau of Labor Statistics, Quarterly Census of Employment and Wages program. Program coverage and background.
- U.S. Bureau of Labor Statistics, QCEW Annual Averages Guide. Definitions and calculation methods.
- U.S. Bureau of Labor Statistics, Location Quotients Explained. Interpretation of concentration measures.
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