Manufacturing Overtime Statistics: 2026 Hours, Costs and Trends

Manufacturing overtime snapshot for 2025 and early 2026

The headline number is simple. Manufacturing overtime moved back up in 2025 after flattening in 2023 and 2024. That matters because factory managers usually stretch hours before they add another shift or commit to permanent hiring. When overtime climbs while employment stays tight, you usually get a short-term output bump and a medium-term people problem.

Put those numbers together and the picture is pretty clear. Overtime is not back at 2018 stress levels, but it has moved higher again at the same time hourly earnings keep climbing. If you're running a shop with thin scheduling slack, that combination means extra labor spend before you even count premium rates, fatigue, absenteeism, or quality drift.

10-year trend, overtime hours, weekly hours, hourly earnings, and weekly pay

This is where the trend gets useful. Overtime fell sharply in the pandemic year, rebounded in 2021, cooled through 2023 and 2024, and turned up again in 2025. Meanwhile, hourly earnings kept rising every single year in this table. That means the cost of each overtime-heavy schedule is materially higher today than it was even two or three years ago.

Sources: FRED AWOTMAN, FRED AWHMAN, FRED CES3000000008. Weekly earnings are estimated from average annual hours multiplied by average annual hourly earnings.

Long-run benchmarks, what changed since 1956

Short-term trend tables are useful, but plant operators usually want a harder benchmark. Is today's overtime normal, light, or heavy by long-run standards? The FRED series lets you answer that because the manufacturing overtime line goes back to 1956. That matters when someone says, "We've always run hot." In many shops, that is not true. The long history shows clear regimes, with lower overtime in slowdowns, higher overtime near cycle peaks, and a very different wage backdrop than plants face now.

In the earliest part of the series, manufacturing overtime could sit around 2.6 hours in a relatively soft month such as June 1956, while total employment and output still mattered more than premium labor cost. By January 1993, the same overtime series had climbed to 4.3 hours as factories came out of an earlier downturn. The all-time high in this series is 5.2 hours in January 1995. That is why today's 3.9-hour March 2026 reading is not a historic extreme, but it is still expensive because regular rates are so much higher now. Sources: FRED AWOTMAN, FRED CES3000000008

That last point is where finance teams get tripped up. A plant may be below the old overtime peak, yet still carry more weekly payroll strain than earlier cycles because hourly pay has changed so much. In June 1956, production workers were at $1.83 per hour in this series. In March 2026, they were at $29.95. So even if overtime volume is lower than the 1990s benchmark, overtime pay dollars can still hit much harder. For recruiters, staffing firms, and software vendors, that is the pitch. The pain is no longer only about finding labor. It is also about controlling expensive labor hours before they become the default operating model. Sources: FRED AWHMAN, FRED CES3000000008

Sources: FRED AWOTMAN, FRED AWHMAN, FRED CES3000000008

What overtime signals about manufacturing demand and plant capacity

The Federal Reserve has a useful way to think about this. Manufacturers do not usually respond to changing demand by hiring or firing first. They change hours first. That is why overtime is such a valuable operating signal. It reacts quickly when incoming orders move, and it often reacts before your staffing model catches up.

In a Federal Reserve note on business-cycle behavior, researchers found overtime is the most responsive of the three big labor inputs they studied: overtime hours, weekly hours, and employment. Six months after a business-cycle trough, overtime hours recover by about 10%. Six months before a peak, overtime sits about 7% above its value at the peak and then starts falling. The note also reports a contemporaneous correlation of about 0.76 between the authors' business-cycle indicator and manufacturing overtime. Source: Federal Reserve Board

Which sectors swing the hardest

The sector table in that same Federal Reserve note is useful for anyone selling into different kinds of manufacturers. Transportation equipment, fabricated metal, machinery, and primary metals tend to move sharply with the cycle. Food and petroleum are much less sensitive. So if your customers are job shops, metal stampers, machine builders, or automotive suppliers, overtime spikes are more likely to show up fast when the market tightens.

Source: Federal Reserve Board, Weekly Hours, Overtime, and Employment of Manufacturing Production Workers

Fatigue, injury risk, and the hidden cost of overtime

This is the part that gets missed in board decks. Overtime is not just a wage issue. It is a safety issue, a quality issue, and a productivity issue. The obvious labor premium is only the first layer. Once fatigue starts showing up, the downstream costs spread fast through rework, incidents, near misses, workers' comp, and turnover.

For a plant manager, the lesson is straightforward. A few extra hours when demand surges can be cheaper than missing shipments. But once the schedule drifts toward repeated 60-plus-hour weeks, the math changes. Safety risk rises. Fatigue-related lost time rises. Supervisors spend more time coaching errors instead of running throughput. A shop can look productive on paper while the actual economics are getting worse by the week.

How this manufacturing overtime dataset was built

Most of the core labor numbers in this page come from BLS average weekly hours and overtime tables and related earnings tables for production and nonsupervisory employees on private nonfarm payrolls. Those tables are part of the Employment Situation release and the Current Employment Statistics program. The series are seasonally adjusted, which matters because manufacturing payroll, weekly hours, and overtime move around holidays, shutdowns, model-year changeovers, and weather.

We pulled the AWOTMAN, AWHMAN, and CES3000000008 data series through the St. Louis Fed interface because it offers a clean public front end for BLS data. In plain English, that means the Louis Fed is distributing the same underlying BLS establishment survey data in a format that is easy to compare year over year. If you're validating these numbers internally, the exact concepts you want are average overtime of production and nonsupervisory employees, average weekly hours and overtime, and average hourly earnings for employees on private nonfarm payrolls by industry.

That wording sounds dry, but it matters. When one team is looking at all employees and another is looking at production workers only, the conclusions can drift fast. This page stays focused on the factory-floor segment that most closely tracks overtime pressure inside real plants.

FAQ: manufacturing overtime data

What is the latest weekly overtime hours in manufacturing?

The latest weekly overtime hours in manufacturing in this dataset are 3.9 hours in March 2026 for production and nonsupervisory employees, seasonally adjusted. Source: FRED AWOTMAN

Why do analysts watch manufacturing overtime before hiring?

Because the establishment survey shows manufacturers often extend hours before they change headcount. The Federal Reserve note in our sources explains that firms typically adjust hours of work before changing employment, and overtime is the most responsive labor input around turning points. Source: Federal Reserve Board

Which manufacturing industries are most sensitive to overtime swings?

Transportation equipment, fabricated metal products, machinery, and primary metals are among the most cycle-sensitive industries in the Fed table. If you specifically care about hours in transportation equipment manufacturing, the note reports employment correlation of 0.72, weekly-hours correlation of 0.63, and overtime correlation of 0.73. Source: Federal Reserve Board

What is a dangerous overtime threshold in manufacturing?

There is no single legal line that fits every plant, but the strongest manufacturing-specific research in this source set found workers above 64 hours in the prior week had an 88% excess injury risk compared with workers at 40 hours or less. Source: Vegso et al.

Is manufacturing overtime still elevated?

Yes, relative to 2023 and 2024 the industry moved higher in 2025. Manufacturing reached 3.8 hours of weekly overtime in 2025, and the latest Mar 2026 reading shows the series still running at 3.9 hours. Among manufacturing industries, that is high enough to keep labor planning, scheduling, and fatigue risk on the table even if output growth stays uneven. Sources: BLS, FRED AWOTMAN, FRED CES3000000008

What plant leaders, recruiters, and industrial marketers should watch next

If you sell into manufacturing, overtime is one of the cleanest signals you can track because it touches nearly every operating conversation. Rising overtime usually means one of four things is happening. Demand is improving. Hiring is lagging. Capacity is constrained. Or a plant is covering instability elsewhere in the system.

For recruiters and staffing firms, a lift from 3.6 to 3.8 overtime hours may not sound dramatic, but it matters when hourly pay is already near $30 and total weekly schedules are above 41 hours. For ERP, scheduling, and automation vendors, overtime is often the symptom that makes your pitch timely. For owners and CFOs, it is a margin warning light. For safety leaders, it is a leading indicator worth reviewing before the incident dashboard moves.

The manufacturing plants most exposed to overtime swings are not evenly spread across the industry. Transportation equipment, fabricated metals, machinery, and primary metals tend to move more sharply with the cycle than food or petroleum. If your customer base skews toward those sectors, overtime pressure can arrive early and leave late.

Another reason this matters is timing. Labor markets do not loosen or tighten evenly across manufacturing. One plant may still have open reqs while another is freezing headcount and asking supervisors to stretch the current crew. That is why overtime deserves a spot beside total employment, order backlog, scrap rate, and absenteeism in monthly operating reviews. You can see trouble early in the hours data, especially when release tables and seasonal adjustment factors stop looking temporary and start repeating month after month. Sources: BLS Employment Situation, BLS CES

The big takeaway is simple. Manufacturing overtime is no longer just a utilization metric. It is a blended signal for labor cost, hiring difficulty, safety exposure, and cycle sensitivity. If you want to know where factory pressure is building, start here.