Last Updated: June 5, 2026
60+ Manufacturing Plant Closure Statistics for 2026
Plant closures do not hit a supply chain as a clean spreadsheet line. They show up as missing capacity, late RFQs, scrap-heavy requalification runs, customer panic, and skilled workers leaving the local labor pool.
This report uses Census Bureau Business Dynamics Statistics, 2023 BDS datasets, BLS Business Employment Dynamics, and Federal Reserve capacity utilization data to size manufacturing establishment exits, firm deaths, job losses tied to closures, and the states and sectors where churn is highest.
18,782
manufacturing establishment exits in 2023, per Census BDS
235,498
jobs destroyed at manufacturing establishment deaths in 2023, per Census BDS
6.997%
manufacturing establishment exit rate in 2023, per Census BDS
75.8%
April 2026 manufacturing capacity utilization, per the Federal Reserve
What Counts as a Plant Closure?
Census BDS tracks establishment exits, establishment deaths, firm deaths, job destruction, job creation, and reallocation. BLS BED uses a similar labor-market concept and explains that a closing establishment is not immediately counted as a death until enough time passes to separate a permanent closing from a temporary shutdown. That lag matters when you're reading closure numbers after a bad quarter.
National Manufacturing Plant Closure Trends
The cleanest national baseline is the Census BDS sector file for NAICS 31-33. In 2023, manufacturing had 268,269 establishments, 220,696 firms, and 12,293,106 employees. The same dataset counted 18,782 establishment exits, 15,380 firm-death establishments, and 125,296 employees at firm deaths.
A closure year is rarely all bad news. Manufacturing still created 1,166,340 jobs in 2023, including 262,904 jobs from births. But the churn is expensive. The sector also lost 1,011,814 jobs to destruction, including 235,498 jobs from establishment deaths and 776,316 jobs from continuing-establishment contractions.
| Year | Establishment exits | Exit rate | Jobs lost at deaths | Firm-death employment | Establishment entries |
|---|---|---|---|---|---|
| 2013 | 19,453 | 6.995% | 271,069 | 128,240 | 16,924 |
| 2014 | 18,348 | 6.647% | 255,241 | 118,046 | 17,543 |
| 2015 | 18,205 | 6.599% | 248,972 | 119,120 | 18,169 |
| 2016 | 18,297 | 6.632% | 243,479 | 118,995 | 18,038 |
| 2017 | 19,626 | 7.140% | 303,099 | 140,925 | 17,574 |
| 2018 | 18,540 | 6.777% | 238,198 | 122,959 | 18,209 |
| 2019 | 18,772 | 6.888% | 237,647 | 118,159 | 17,092 |
| 2020 | 20,413 | 7.564% | 256,526 | 123,933 | 16,617 |
| 2021 | 20,622 | 7.747% | 257,336 | 109,311 | 18,189 |
| 2022 | 18,898 | 7.065% | 270,929 | 115,119 | 21,145 |
| 2023 | 18,782 | 6.997% | 235,498 | 125,296 | 18,443 |
The 2020 and 2021 exit counts stand out. Manufacturing recorded 20,413 exits in 2020 and 20,622 exits in 2021, then eased to 18,898 exits in 2022 and 18,782 exits in 2023. That is not a collapse, but it is a permanent capacity drain in a sector where qualifying a replacement supplier can take months.
Manufacturing Plant Closures by State
Big manufacturing states naturally post the highest raw closure counts. California led the 2023 state table with 2,853 manufacturing establishment exits, followed by Texas at 1,505 exits, Florida at 1,120 exits, and New York at 998 exits. Those are not just small shop counts. California recorded 28,992 jobs destroyed at manufacturing establishment deaths in 2023, and Texas recorded 21,404.
| State | Exits | Exit rate | Jobs lost at deaths | Firm-death employment | Net job creation rate |
|---|---|---|---|---|---|
| California | 2,853 | 8.548% | 28,992 | 17,530 | 0.577% |
| Texas | 1,505 | 7.662% | 21,404 | 10,934 | 2.632% |
| Florida | 1,120 | 8.689% | 11,131 | 7,422 | 1.856% |
| New York | 998 | 7.703% | 8,669 | 6,216 | 0.289% |
| Illinois | 721 | 6.130% | 8,819 | 4,953 | 2.024% |
| Ohio | 715 | 5.579% | 11,283 | 5,727 | 0.537% |
| Michigan | 702 | 6.093% | 11,600 | 5,110 | 0.649% |
| Pennsylvania | 695 | 5.501% | 9,462 | 4,868 | 0.558% |
| North Carolina | 552 | 6.722% | 10,856 | 3,986 | 1.388% |
| Washington | 526 | 8.446% | 4,301 | 2,757 | 2.052% |
| Georgia | 521 | 7.018% | 8,617 | 4,067 | 1.163% |
| New Jersey | 478 | 7.177% | 5,727 | 3,342 | 2.250% |
Highest State Closure Rates
Closure rate is the better stress signal for smaller states. Hawaii had a 10.162% manufacturing establishment exit rate in 2023, New Mexico posted 9.306%, Montana posted 9.048%, and Colorado posted 9.039%. A sourcing manager should read those rates differently than raw count. They point to churn in the local supplier base.
| State | Exit rate | Exits | Jobs lost at deaths | Firm-death employment |
|---|---|---|---|---|
| Hawaii | 10.162% | 69 | 392 | 270 |
| New Mexico | 9.306% | 112 | 831 | 577 |
| Montana | 9.048% | 116 | 719 | 547 |
| District of Columbia | 9.045% | 9 | 47 | 43 |
| Colorado | 9.039% | 426 | 3,658 | 2,345 |
| Nevada | 8.885% | 165 | 1,435 | 698 |
| Florida | 8.689% | 1,120 | 11,131 | 7,422 |
| California | 8.548% | 2,853 | 28,992 | 17,530 |
| Alaska | 8.456% | 43 | 175 | 134 |
| Idaho | 8.446% | 163 | 1,058 | 820 |
Manufacturing Sectors with the Most Plant Closures
The most exposed manufacturing subsector by raw count is fabricated metal product manufacturing. Census BDS counted 3,059 establishment exits, 29,722 jobs destroyed at establishment deaths, and 17,578 employees at firm deaths in fabricated metal in 2023. That makes sense. Fabrication has many small and mid-sized shops, heavy exposure to steel and aluminum input costs, and customers who often buy on price until a supplier disappears.
Food manufacturing ranked second by closure count, with 2,293 exits and 26,671 jobs destroyed at establishment deaths. Printing and related support posted 1,653 exits, a 7.827% exit rate, and a slightly negative -0.034% net job creation rate.
| Subsector | Exits | Exit rate | Jobs lost at deaths | Firm-death employment | Net job creation rate |
|---|---|---|---|---|---|
| Fabricated metal product manufacturing | 3,059 | 5.998% | 29,722 | 17,578 | 2.117% |
| Food manufacturing | 2,293 | 8.073% | 26,671 | 17,404 | 2.671% |
| Miscellaneous manufacturing | 1,890 | 8.563% | 11,582 | 8,220 | 2.090% |
| Printing and related support | 1,653 | 7.827% | 12,797 | 7,164 | -0.034% |
| Machinery manufacturing | 1,151 | 5.564% | 17,105 | 8,161 | 2.466% |
| Furniture and related products | 1,132 | 8.416% | 9,205 | 6,139 | -0.786% |
| Chemical manufacturing | 1,088 | 7.898% | 19,573 | 8,943 | -0.209% |
| Wood product manufacturing | 906 | 6.894% | 15,197 | 6,960 | 0.215% |
| Beverage and tobacco products | 804 | 6.864% | 6,949 | 4,173 | 3.447% |
| Computer and electronic products | 760 | 7.168% | 15,653 | 4,885 | 3.316% |
Highest Subsector Exit Rates
Apparel manufacturing is the outlier by rate. Census BDS shows a 15.562% establishment exit rate in 2023, with only 65,604 employees left in the subsector. Leather and allied products followed at 10.025%, textile mills at 9.102%, and textile product mills at 9.062%.
| Subsector | Exit rate | Employment | Net job creation rate |
|---|---|---|---|
| Apparel manufacturing | 15.562% | 65604 | 3.484% |
| Leather and allied product manufacturing | 10.025% | 24433 | 0.172% |
| Textile mills | 9.102% | 78493 | -1.904% |
| Textile product mills | 9.062% | 99483 | 0.388% |
| Miscellaneous manufacturing | 8.563% | 571384 | 2.090% |
| Furniture and related products | 8.416% | 352850 | -0.786% |
| Food manufacturing | 8.073% | 1696027 | 2.671% |
| Chemical manufacturing | 7.898% | 905070 | -0.209% |
Capacity, PMI, and Closure Warning Signs
Closure data is backward-looking. Capacity utilization and PMI give you a faster read. The Federal Reserve reported that manufacturing capacity utilization rose 0.4 percentage point to 75.8% in April 2026, but the same release said the operating rate was 2.4 percentage points below its long-run 1972-2025 average. FRED describes manufacturing capacity utilization as output divided by sustainable maximum output, after normal downtime and input availability are considered.
The Institute for Supply Management's May 2026 manufacturing report said the Manufacturing PMI was 48.5%. ISM readings below 50% indicate contraction in manufacturing activity. That does not mean plants close the next month, but it does mean sales teams should expect tougher supplier viability questions, slower quoting decisions, and more buyers looking for backup sources.
What to Watch Before a Factory Closure
Watch shrinking backlogs, delayed maintenance, late vendor payments, fewer second-shift hours, and reduced quoting responsiveness. The public data will not tell you that a specific shop is going under, but manufacturing capacity utilization, PMI contraction, and local closure rates can flag the markets where buyers need redundancy.
Why Closure Data Matters for Manufacturing Lead Generation
Plant closure statistics are not just economic trivia. They affect how manufacturers should position their sales pipeline. If buyers in your market just lost a local supplier, they are not looking for a generic capabilities page. They are looking for capacity, certifications, material expertise, machine availability, and proof you can absorb work without wrecking lead times.
The 2023 data shows why. There were 18,782 manufacturing establishment exits and 235,498 jobs destroyed at establishment deaths. In fabricated metal alone, there were 3,059 exits. In food manufacturing, there were 2,293 exits. Those are replacement-supplier opportunities if your site proves reliability quickly.
For industrial marketing, the practical move is simple: build pages around capacity, emergency replacement production, supplier transition support, tooling transfer, PPAP or first-article inspection, and regional service areas. Closure risk creates urgency. Your content has to answer the operational questions buyers ask when their incumbent supplier is gone.
Analyst Notes for Closure Research
Researchers use different words for the same problem. A manufacturing plant closure may appear in public data as an establishment exit, establishment death, firm death, employment loss, job losses, a factory shutdown, a decision to close a manufacturing facility, or a layoff event. Those labels matter because an employer can shut one production facility while the larger manufacturer keeps operating elsewhere.
Geography also changes the answer. A closure associated with plant consolidation in one particular location can hurt local employment even when manufacturing employment in the broader manufacturing sector holds up. A new plant, new products, a new entrant, or a relocation can offset the loss on a national chart while the affected workforce, union, labor relations team, and nearby related industries still deal with turnover and adjustment costs.
A closer look at plant closure case studies usually points to more than one cause. Tariff exposure, import pressure, technological change, productivity gaps, inadequate margin, poor leadership, weak international competitiveness, subsidy decisions, workplace safety penalties, and an unsustainable production process can all push a plant toward closure. In sectors like textile, apparel, furniture, and fabricated metal, plants are more likely to face pressure when large plants and smaller shops compete for the same labour pool and the same customers.
Warning signs are not always formal. A task force might form after five plants close in a region, but supplier risk usually shows up earlier through delayed quotes, fewer voluntary overtime hours, weaker protection against customer concentration, reduced investment in technologically current equipment, and a forecast that assumes a surge in orders that never arrives. If a public notice gives workers 60 days, the sourcing team is already late.
Do not read every closure as a failure of unskilled workers or white-collar planning. Some closures within the last two decades came from global cost pressure, some from old equipment, some from a barrier to financing, and some from customer concentration. Giants like Nissan can restructure differently than a job shop with less than 20 employees. The need to address resilience is the same: leadership must identify single-source risk before the supplier is poorer, closed, or forced into turnaround.
For U.S. sourcing teams, linked data from Census BDS, BLS BED, and FRED capacity data supports proactive supplier-risk analyses. If a report mentions a 57 percent decline, verify the denominator, the geography, the industry code, and whether the number refers to facilities, jobs, firms, or output.
Methodology
This page uses the Census Bureau's Business Dynamics Statistics because BDS is built to measure business births, deaths, job creation, job destruction, establishment entries, and establishment exits. The national table uses bds2023_sec.csv, the state table uses bds2023_st_sec.csv, and the subsector table uses bds2023_vcn3.csv. Manufacturing is NAICS 31-33.
The closure language is intentionally conservative. Establishment exits and firm deaths are not always the same thing as a news-reported factory shutdown. A multi-plant manufacturer can close one establishment while the firm continues. A small company can disappear entirely. BLS BED also cautions that deaths lag closures because agencies need time to separate permanent closure from temporary inactivity. That is why this report uses the terms establishment exit, establishment death, firm death, and plant closure signals carefully.
Cite This Manufacturing Plant Closure Report
Suggested citation:
Manufacturing Lead Generation. "Manufacturing Plant Closure Statistics 2026." Last updated June 5, 2026. https://manufacturingleadgeneration.com/manufacturing-plant-closure-statistics/
Sources
- U.S. Census Bureau, Business Dynamics Statistics overview
- U.S. Census Bureau, 2023 Business Dynamics Statistics datasets
- Census BDS 2023 sector CSV, national manufacturing data
- Census BDS 2023 state by sector CSV
- Census BDS 2023 NAICS 3-digit CSV
- BLS Business Employment Dynamics Summary
- BLS Business Employment Dynamics PDF technical notes
- Federal Reserve Industrial Production and Capacity Utilization, G.17
- FRED, Capacity Utilization: Manufacturing NAICS
- ISM Manufacturing PMI Report on Business, May 2026
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