Compare Occupations

SUMMARY
66%
High Risk
34%
Low Risk
62%
High Risk
75%
High Risk
64%
High Risk
JOB SCORE 2.7/10 4.3/10 2.9/10 3.9/10 3.2/10
POLLING
63%
(High Risk, Based on 200 votes)
There hasn't been enough votes on this occupation yet
72%
(High Risk, Based on 61 votes)
59%
(Moderate Risk, Based on 25 votes)
58%
(Moderate Risk, Based on 289 votes)
GROWTH
by year 2034
0.4%
2.5%
3.0%
6.3%
2.0%
WAGES
$34,660
or $16.66 per hour
$47,520
or $22.84 per hour
$34,460
or $16.57 per hour
$32,670
or $15.71 per hour
$35,930
or $17.27 per hour
VOLUME
as of 2024
854,910
174,660
271,780
522,010
2,199,900
SNOWFLAKE [?] The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes. Snowflake diagram for Maids and Housekeeping Cleaners Snowflake diagram for First-Line Supervisors of Housekeeping and Janitorial Workers Snowflake diagram for Food Servers, Nonrestaurant Snowflake diagram for Dining Room and Cafeteria Attendants and Bartender Helpers Snowflake diagram for Janitors and Cleaners, Except Maids and Housekeeping Cleaners
DESCRIPTION Perform any combination of light cleaning duties to maintain private households or commercial establishments, such as hotels and hospitals, in a clean and orderly manner. Duties may include making beds, replenishing linens, cleaning rooms and halls, and vacuuming. Directly supervise and coordinate work activities of cleaning personnel in hotels, hospitals, offices, and other establishments. Serve food to individuals outside of a restaurant environment, such as in hotel rooms, hospital rooms, residential care facilities, or cars. Facilitate food service. Clean tables; remove dirty dishes; replace soiled table linens; set tables; replenish supply of clean linens, silverware, glassware, and dishes; supply service bar with food; and serve items such as water, condiments, and coffee to patrons. 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.

Compare Occupations Side by Side

Curious how automation and AI could affect your career? Our comparison tool lets you view two or more jobs side by side, helping you quickly spot differences in risk level, pay, growth, and popularity. All of this is based on a mix of academic research, user polling, and official labour data.

Automation Risk

Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.

Job Score

A quick summary of how a job performs overall — factoring in wages, growth, volume, and automation risk. It’s a handy way to see the bigger picture at a glance.

Polling Data

Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.

Growth & Wages

See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.

Volume of Workers

Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.

The Snowflake Diagram

Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.

Use this comparison page to research careers, guide students, or simply explore the future of work. All data is regularly updated to keep the results relevant.