Career card

Janitors and Cleaners, Except Maids and Housekeeping Cleaners

Also called: Cleaner, Custodial Worker, Custodian, Janitor

Keep buildings in clean and orderly condition. Perform heavy cleaning duties, such as cleaning floors, shampooing rugs, washing walls and glass, and removing rubbish. Duties may include tending furnace and boiler, performing routine maintenance activities, notifying management of need for repairs, and cleaning snow or debris from sidewalk.

Share on LinkedIn Download images

LinkedIn posts a link with a summary picture. Images: two pictures to save or post. PDF: the whole card. More

Median pay BLS, 2025$36,840
Openings a year BLS, 2025–35321,800
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 +2.2%

What the data says: AI could halve the time on 1 of its 21 tasks, and jobs are projected to grow 2.2% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 5.1% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Janitors and building cleaners”
  • From Sep 2025 to Aug 2026, 7.9 hires for every 10 job openings in professional and business services, which employs about 44% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 6% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$28k$46knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$30,620$28,020 to $36,08025,110
Alaska$40,510$35,610 to $47,7605,200
Arizona$36,220$34,340 to $39,46038,290
Arkansas$29,750$27,470 to $34,94019,490
California$41,090$36,830 to $48,250234,240
Colorado$38,600$36,880 to $46,00034,220
Connecticut$37,960$35,470 to $47,15028,740
Delaware$35,320$31,300 to $41,6909,220
District of Columbia$38,520$37,840 to $41,72016,400
Florida$34,490$30,060 to $37,140131,900
Georgia$34,310$29,270 to $37,47055,660
Guam$22,710$21,840 to $26,920720
Hawaii$37,710$31,080 to $46,81011,230
Idaho$36,110$32,240 to $39,52010,800
Illinois$37,810$35,660 to $45,41093,760
Indiana$36,460$30,750 to $40,92049,220
Iowa$35,380$30,280 to $41,57023,960
Kansas$34,480$30,030 to $37,46017,220
Kentucky$32,320$29,220 to $37,81025,750
Louisiana$28,930$23,510 to $34,51027,610
Maine$38,940$36,300 to $45,6009,180
Maryland$36,620$34,580 to $42,87040,390
Massachusetts$45,580$37,560 to $49,72055,490
Michigan$36,050$31,200 to $39,04065,790
Minnesota$39,610$36,040 to $46,33042,300
Mississippi$28,380$23,730 to $33,99015,940
Missouri$35,900$31,110 to $39,27041,070
Montana$37,110$33,730 to $44,0508,320
Nebraska$35,900$31,200 to $42,24012,860
Nevada$38,420$31,450 to $48,07032,830
New Hampshire$39,150$35,310 to $47,1209,420
New Jersey$37,630$35,200 to $44,31067,660
New Mexico$36,020$30,970 to $38,48014,360
New York$41,640$36,360 to $50,100195,250
North Carolina$34,500$29,240 to $37,23053,330
North Dakota$37,750$35,470 to $46,2006,720
Ohio$35,900$30,790 to $42,76072,540
Oklahoma$31,110$28,180 to $35,77023,620
Oregon$39,340$36,080 to $46,65025,890
Pennsylvania$36,520$31,070 to $43,14086,920
Puerto Rico$21,890$21,840 to $23,46029,030
Rhode Island$37,310$33,240 to $46,2407,270
South Carolina$31,180$28,070 to $36,84030,100
South Dakota$35,480$31,260 to $39,1308,630
Tennessee$33,440$29,580 to $37,28038,120
Texas$33,010$27,740 to $37,930184,840
Utah$32,200$28,440 to $37,82024,710
Vermont$40,910$37,050 to $46,5005,130
Virgin Islands$29,000$26,480 to $29,940680
Virginia$35,170$30,020 to $38,73065,970
Washington$45,520$39,020 to $53,92047,380
West Virginia$30,980$27,800 to $37,6709,340
Wisconsin$37,000$34,370 to $44,08045,640
Wyoming$36,050$32,420 to $43,5904,760

Nationally: $36,840. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 1 of its 21 tasks

0 · AI alone could halve the time 1 · AI + software built on it could 20 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Notify managers concerning the need for major repairs or additions to building operating systems. Not published
Not much Gather and empty trash. Not published
Not much Service, clean, or supply restrooms. Not published
Not much Clean building floors by sweeping, mopping, scrubbing, or vacuuming. Not published
Not much Follow procedures for the use of chemical cleaners and power equipment to prevent damage to floors and fixtures. Not published
AI + software Requisition supplies or equipment needed for cleaning and maintenance duties. Not published
See all 21 tasks
Not much Dust furniture, walls, machines, or equipment. Not published
Not much Monitor building security and safety by performing tasks such as locking doors after operating hours or checking electrical appliance use to ensure that hazards are not created. Not published
Not much Mix water and detergents or acids in containers to prepare cleaning solutions, according to specifications. Not published
Not much Clean windows, glass partitions, or mirrors, using soapy water or other cleaners, sponges, or squeegees. Not published
Not much Move heavy furniture, equipment, or supplies, either manually or with hand trucks. Not published
Not much Strip, seal, finish, and polish floors. Not published
Not much Clean and polish furniture and fixtures. Not published
Not much Set up, arrange, or remove decorations, tables, chairs, ladders, or scaffolding to prepare facilities for events, such as banquets or meetings. Not published
Not much Remove snow from sidewalks, driveways, or parking areas, using snowplows, snow blowers, or snow shovels, or spread snow-melting chemicals. Not published
Not much Make adjustments or minor repairs to heating, cooling, ventilating, plumbing, or electrical systems. Not published
Not much Drive vans, industrial trucks, or other vehicles required to travel to, or to perform, cleaning work. Not published
Not much Steam-clean or shampoo carpets. Not published
Not much Spray insecticides or fumigants to prevent insect or rodent infestation. Not published
Not much Clean chimneys, flues, and connecting pipes, using power or hand tools. Not published
Not much Mow or trim lawns or shrubbery, using mowers or hand or power trimmers, and clear debris from grounds. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 0 of the 21 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 21 tasks fall under 13 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up1 of 21 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 13 activities
  • #38 Select materials or equipment for operations or projects
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Prepare mixtures or solutions 14#71 3.65#105
Dispose of waste or debris 3.05#166 0.57#192
Operate transportation equipment or vehicles 1.06#232 0.05#282
Move materials, equipment, or supplies 0.65#261 0.09#272
Select materials or equipment for operations or projects 45#38 19#49
Communicate with others about operational plans or activities 9.39#92 28#39
Arrange displays or decorations 7.56#107 2.61#120
Show all 13 activities
Maintain tools or equipment 4.47#136 1.04#167
Apply protective solutions or coatings 3.09#165 0.74#178
Monitor safety or security of work areas, facilities, or properties 1.39#218 1.50#142
Cut trees or other vegetation 0.67#259 0.05#279
Operate agricultural or forestry equipment 0.16#306 0.03#290
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for janitors and cleaners, except maids and housekeeping cleaners specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Janitors and cleaners, except maids and housekeeping cleaners: +2.2%Janitors and Cleaners, Except Maids and Housekeeping CleanersAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Janitors and cleaners, except maids and housekeeping cleaners: +2.2%Janitors and Cleaners, Except Maids and Housekeeping Cleaners

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 112,437 moves out

  1. 1 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 4%
  2. 2 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 4%
  3. 3 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 4%
  4. 4 Customer Service Representatives Very high -5.3% 3%
  5. 5 Security Guards Moderate +0.9% 3%

Where people moved in from

of 106,309 moves in

  1. 1 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 6%
  2. 2 Cashiers High -6.5% 5%
  3. 3 Customer Service Representatives Very high -5.3% 4%
  4. 4 Retail Salespersons Very high -0.3% 3%
  5. 5 Fast Food and Counter Workers Moderate +5.8% 3%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 14% less than high school
  • 1% post-doctoral training
  • 86% not published

O*NET marks 86% of the answers as too uncertain to publish, so the parts shown don't add up to 100%.

O*NET 31.0 survey of workers in this occupation · 17 people answered.

Census survey (American Community Survey)

  • 23% less than high school
  • 45% high school
  • 18% some college
  • 7% associate's
  • 6% bachelor's
  • 1% master's

Census ACS 2024, all workers in the Census group “Janitors and building cleaners” · 24,021 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Janitors and building cleaners”

Jobs that require a credential BLS Occupational Requirements Survey 2023

16.0% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license<0.5%19.1%
a certification<0.5%5.8%
an educational certificate0.7%2.8%

Share of jobs whose employer requires it. BLS doesn't say which credential. How to read this

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

How useful is this page?

1 Not useful5 Very useful

Anonymous. Please don't include your name or contact details.