Laundry and Dry-Cleaning Workers Salary

SOC Code: 51-6011 • Source: Bureau of Labor Statistics, May 2024

Median Salary
$33,800
Mean Salary
$33,990
Employment
195,360
Entry Level (10th %ile)
$26,270
Top Earners (90th %ile)
$42,370

Pay Range Distribution

10th percentile
$26,270 25th percentile
$29,530 Median (50th)
$33,800 75th percentile
$36,760 90th percentile
$42,370

Laundry and Dry-Cleaning Workers Salary by State

StateMedianMeanEmploymentEntry (10th)Top (90th)
Washington$39,220$40,5803,680$35,110$46,180
North Dakota$37,710$38,140840$31,210$44,460
Oregon$37,190$38,6902,050$32,950$45,600
District of Columbia$37,070$42,210260$35,360$56,160
Vermont$37,030$37,100260$30,850$42,210
Maine$36,840$37,330720$31,780$43,590
California$36,740$38,81022,630$34,360$45,720
Montana$36,640$36,5001,110$28,980$44,420
Minnesota$36,560$37,0403,450$30,160$44,290
Massachusetts$36,310$37,3003,680$34,030$42,120
Connecticut$36,180$37,2801,570$32,640$45,290
Colorado$36,140$40,6303,610$30,910$44,250
New Hampshire$35,760$36,730740$28,990$45,180
Rhode Island$35,550$35,910530$29,810$41,550
Alaska$35,500$36,740540$26,520$48,320
Idaho$35,490$36,0801,420$27,960$44,920
Illinois$35,140$35,2107,830$29,760$42,650
Arizona$35,120$35,1803,900$31,200$37,510
Michigan$34,900$34,2105,700$27,650$40,980
Hawaii$34,890$38,1401,560$29,570$52,650
Wisconsin$34,760$33,8303,360$28,140$40,370
New Jersey$34,330$35,4805,490$31,470$42,230
Nebraska$33,950$34,2101,420$28,420$41,170
New York$33,880$37,13013,270$31,200$45,910
Nevada$33,690$34,6304,180$28,860$48,400
Utah$33,690$33,0201,470$23,430$38,840
Pennsylvania$33,460$33,4706,000$27,410$39,910
Maryland$32,790$35,1203,890$31,200$39,510
Tennessee$32,320$32,2805,650$27,140$36,700
Delaware$32,250$32,660540$27,680$37,440
Iowa$32,250$32,6102,120$27,080$38,410
South Dakota$31,820$32,670640$27,760$39,350
Virginia$30,920$32,2604,900$25,310$38,050
Missouri$30,500$32,4504,030$26,950$37,770
Wyoming$30,470$31,780420$21,650$41,070
Florida$30,320$31,73013,940$26,950$37,240
Ohio$30,150$31,8806,670$25,900$37,480
North Carolina$30,120$30,7305,530$23,830$36,700
New Mexico$29,990$30,7901,270$26,320$35,800
Indiana$29,960$31,3804,070$24,330$38,010
Kansas$29,540$30,0001,660$23,240$35,970
South Carolina$29,350$30,0202,750$21,860$37,420
Texas$29,060$30,53016,250$22,370$37,340
Kentucky$28,670$29,1502,470$22,210$35,480
Georgia$28,370$28,5104,880$20,630$35,670
West Virginia$28,260$29,660860$22,480$38,770
Alabama$28,230$28,7302,170$22,580$36,540
Arkansas$27,980$28,8502,060$23,800$35,480
Louisiana$27,270$27,6403,050$21,000$35,970
Oklahoma$27,060$27,2802,830$19,350$36,340
Mississippi$24,120$25,6601,460$20,050$32,250

Highest Paying Metro Areas

Metro AreaMedianMeanEmployment
San Jose-Sunnyvale-Santa Clara, CA$43,450$44,300850
Seattle-Tacoma-Bellevue, WA$42,500$42,3402,140
San Francisco-Oakland-Fremont, CA$41,650$43,4802,480
Napa, CA$40,350$41,750190
Bozeman, MT$39,460$39,230220
Portland-Vancouver-Hillsboro, OR-WA$39,440$40,3601,160
Bismarck, ND$39,120$38,710190
Chambersburg, PA$39,100$38,91050
Santa Rosa-Petaluma, CA$38,800$40,420290
Billings, MT$38,590$37,500180
Missoula, MT$38,420$36,440130
Portland-South Portland, ME$38,190$38,530320
Grand Forks, ND-MN$38,020$36,710100
Burlington-South Burlington, VT$37,750$39,78040
Salinas, CA$37,730$39,080280
Rochester, MN$37,710$38,100190
San Diego-Chula Vista-Carlsbad, CA$37,690$38,7602,310
Boise City, ID$37,440$38,090650
Kahului-Wailuku, HI$37,440$40,790290
Kennewick-Richland, WA$37,440$38,450170

About Laundry and Dry-Cleaning Workers Salary Data

This data comes from the Bureau of Labor Statistics Occupational Employment and Wage Statistics program. The median salary represents the midpoint — half of laundry and dry-cleaning workerss earn more and half earn less. The 10th percentile represents entry-level pay, while the 90th percentile represents the highest earners in this occupation. Employment counts represent estimated total jobs in May 2024.

Understanding Salary Percentiles

Salary percentiles show how wages are distributed across workers in this occupation. The 10th percentile represents entry-level pay — only 10% earn less. The median (50th percentile) is the true midpoint of all wages. The 90th percentile reflects top earners, typically in senior roles or high-cost metro areas. A wide gap between the 10th and 90th percentiles indicates that experience, location, and specialization significantly affect pay.

Factors That Affect Pay

Several factors influence salary for this occupation. Location is one of the biggest — the same job can pay 50% more in a high-cost metro area like San Francisco or New York compared to a rural area. Experience matters significantly; workers at the 90th percentile typically have 10-20+ years in the field. Industry also plays a role — the same occupation often pays differently in finance, technology, healthcare, or government. Education and certifications can boost pay, especially in fields that require advanced degrees or specialized licenses.

Frequently Asked Questions

What is the difference between median and mean salary?

The median is the midpoint — half earn more, half earn less. The mean (average) is the total of all salaries divided by the number of workers. The median is generally more useful because it is not skewed by a small number of extremely high earners.

Do these figures include bonuses and benefits?

No. BLS OEWS data measures base wages and salaries only. It does not include bonuses, commissions, tips, overtime, stock options, health insurance, retirement contributions, or other benefits. Total compensation may be 20-40% higher than base salary.

How reliable is this data?

The BLS OEWS survey covers approximately 1.1 million business establishments across the U.S. and uses rigorous statistical sampling methods. It is considered one of the most reliable sources of occupational wage data available. Self-employed workers and certain agricultural positions are not included.

How often is this data updated?

The BLS publishes new OEWS data annually, typically in the spring for the previous May reference period. This page shows May 2024 data, the most recent release.