Manufacturing Seasonal Employment Trends: When Factory Hiring Rises and Falls

Monthly Manufacturing Employment Benchmarks

Across 2015 through 2025, August produced the highest average unadjusted manufacturing payroll at 12.616 million jobs. July was close behind at 12.607 million, followed by June at 12.602 million. April had the lowest average at 12.409 million, although the extraordinary April 2020 shutdown accounts for much of that result.

The table is a planning benchmark, not a forecast. It combines expansion years, contraction years, the pandemic shock, and the later recovery. A manufacturer should compare its own monthly staffing with its specific subsector, customer calendar, and geography before treating any national pattern as normal.

Annual Peaks, Troughs, and Hiring Ranges

A calendar average can hide the movement inside a year. The normal annual spread was relatively modest before 2020. It ranged from 155,000 jobs in 2016 to 343,000 in 2018, based on monthly observations in the unadjusted manufacturing payroll series. The 2020 range jumped to 1.361 million because February preceded the shutdown and April captured its deepest employment loss.

The spread narrowed to 118,000 jobs in 2025, the smallest in this table. That does not mean the labor market was healthy or weak by itself. A narrow range can occur when demand is stable, when employers retain scarce workers through slow periods, or when an industry remains on a gradual downward path. Direction and level must be read with the range.

2026 Manufacturing Employment by Month

Unadjusted manufacturing payroll began 2026 at 12.598 million, rose to 12.626 million in February, then stood at 12.552 million in both March and April. Employment climbed to 12.678 million in June and 12.694 million in July. Every observation comes from the BLS series as republished by FRED.

Why Manufacturing Employment Changes With the Calendar

Plant shutdowns and model changeovers

Some durable-goods plants schedule maintenance, tooling changes, and model transitions during summer or holiday periods. Payroll effects depend on whether workers remain paid, use vacation, are temporarily laid off, or work through the shutdown. The national series mixes all those arrangements, so it records employment status rather than physical production hours.

Food, beverage, and agricultural processing

Harvest timing can create sharp local hiring cycles in fruit, vegetable, sugar, dairy, seafood, and meat processing. Those movements may be large for a county and barely visible in the national total. NAICS 31-33 includes both nondurable food plants and durable equipment factories, a scope defined by the CES concepts and methods.

Customer inventory and holiday demand

Consumer products, packaging, electronics, and parts suppliers may build inventory ahead of holiday sales. Other plants slow when customers close their books or avoid taking inventory at year end. Employment often responds later than orders because trained production workers are expensive to lose and replace.

Construction, weather, and energy demand

Building products, fabricated metal, machinery, and petroleum-related manufacturing can inherit seasonal patterns from construction and energy customers. Severe weather can also interrupt attendance, inbound material, and outbound freight. Seasonal adjustment estimates recurring behavior, but it cannot predict an unusual hurricane, freeze, strike, or supply interruption.

How to Read Seasonally Adjusted and Unadjusted Factory Data

Unadjusted data answers a literal question: how many manufacturing jobs were on payroll in that month? It is useful for staffing calendars, payroll planning, year-over-year comparisons, and studying recurring peaks. Seasonally adjusted data answers a different question: did employment change after removing the pattern that normally occurs at that time of year?

For month-to-month economic analysis, use the adjusted series. For understanding the actual annual staffing cycle, use the unadjusted series shown here. For a clean trend comparison, compare the same month across years. January 2026 versus January 2025 avoids most calendar distortion without requiring a seasonal model.

CES is a survey of business establishments, not households. It counts payroll jobs, so a person working two jobs may appear twice. It excludes proprietors, unpaid family workers, private household workers, and farm workers. BLS publishes sampling, estimation, revision, and definition details in the CES Handbook of Methods.

Recent months are preliminary and can be revised as more employer reports arrive. Each year, BLS benchmarks payroll estimates to unemployment insurance tax records. The CES benchmark article describes why historical levels can change. A citation should therefore name the retrieval or update date.

Practical Benchmarks for Manufacturers

Seasonal hiring is only one part of manufacturing staffing. Across manufacturing industries, total employment also responds to productivity, new orders, supply chain conditions, capital spending, and long-term demand. A monthly fluctuation can be calendar noise or a genuine change in employment in manufacturing. Good analytics compare both adjusted and unadjusted data before labeling trends in manufacturing.

A plant manager can use the monthly pattern as an outside reference, but internal demand should lead the staffing decision. Start with firm orders, realistic backlog, planned maintenance, expected absenteeism, training time, and customer shutdown schedules. Then compare your expected headcount path with the national unadjusted series.

The 2023 manufacturing sector pattern was unusually steady, with a 147,000-job annual range. Companies hiring seasonal employees for holiday seasons still need local evidence because national manufacturing employment can hide major differences among food, transportation equipment, fabricated metal, and consumer-goods plants.

At the U.S. national level, the trend in manufacturing employment is both seasonal and cyclical. Industry employment rose through much of the 2022 recovery, while individual manufacturing operations followed different customer cycles. The manufacturing workforce in high-volume manufacturing environments may need temporary staffing solutions, but a stable precision shop may gain more from retaining and cross-training its permanent crew.

Automation can change staffing needs without creating an immediate decline in manufacturing output. A manufacturing company may produce more goods and services with fewer labor hours, or it may use automation to expand while competing for top talent. Its staffing plan should account for training, a possible supply disruption, and manufacturing's share of employment in the local labor market. Census Bureau business data can add that local context, while CES remains the monthly national source.

Workforce management gets harder during busy seasons. Hiring managers may use a staffing partner, flexible staffing, or temporary workers to cover a demand surge. The timeline must give job seekers enough time to complete screening and training. Because CES measures nonfarm payrolls, these arrangements count when workers are carried on a manufacturing establishment's payroll, while agency employees are generally classified under the staffing firm's industry.

Recruiters should work backward from the production date. If a plant expects its busiest headcount in June, hiring cannot begin in June when background checks, notice periods, onboarding, and qualification take weeks. The 2015-2025 benchmark shows national payrolls typically moving higher into early summer, but the right lead time varies by occupation.

Sales teams serving manufacturers can use the calendar carefully. A maintenance contractor may prospect before planned shutdowns. A staffing company may approach plants before seasonal ramps. A packaging supplier may align outreach with customer production schedules. None of those tactics should assume every factory follows the national average.

Economic developers can compare local quarterly or monthly employment with the national pattern to separate a local event from an industry-wide shift. If local payroll falls in a month when national manufacturing rises, investigate a plant-specific closure, reclassification, strike, or reporting change before declaring a broad downturn.

Manufacturing Seasonal Employment FAQ

What month has the most manufacturing jobs?

August had the highest 2015-2025 average, at 12.616 million unadjusted jobs. That is a historical benchmark, not a rule for every year or subsector.

What month has the fewest manufacturing jobs?

April had the lowest 2015-2025 average at 12.409 million, largely because April 2020 fell to 11.326 million. January was the lowest month in six of the eleven individual years shown.

Does manufacturing hire seasonally?

Yes, but the degree varies sharply. Food processing can follow harvests, automotive plants can follow model changes, and building-product plants can follow construction. BLS uses statistical seasonal adjustment because recurring calendar movement exists in payroll data, as its methodology explains.

Are these full-time jobs?

The CES employment series counts people on establishment payrolls regardless of full-time or part-time status. It is a job count, not a full-time-equivalent measure. See the BLS definitions.

Can I download the underlying data?

Yes. FRED provides the full BLS manufacturing employment series as CSV. It begins in January 1939 and can be reproduced independently.

Cite This Resource

Sources

1. Federal Reserve Bank of St. Louis, All Employees: Manufacturing, Not Seasonally Adjusted
2. FRED downloadable manufacturing employment CSV
3. Bureau of Labor Statistics, Current Employment Statistics
4. Bureau of Labor Statistics, CES seasonal adjustment
5. Bureau of Labor Statistics, CES Handbook of Methods
6. Bureau of Labor Statistics, CES annual benchmark