Grouped bar chart comparing commercial housekeepers with all occupations. By default it shows that 84 per cent of commercial housekeepers are women, compared with 49 per cent of all workers, and that 80 per cent work part-time, compared with 36 per cent of all workers. A menu switches the chart to age or education level.
Line chart of lost-time injury claims per million hours worked from 2015-16 to 2024-25 for housekeepers, commercial cleaners, the accommodation industry and all workers, with domestic cleaners and accommodation and food services available by clicking the legend. Housekeepers are consistently well above the all-worker rate. They peaked at 24.4 in 2020-21 and were at 19.7 in 2024-25 compared with 8.3 for all workers.
Line chart of serious workers compensation claims by harassment-related cause, all workers, 2015-16 to 2024-25. Assault rose from 1,964 to 5,218 claims, and workplace harassment or bullying from 1,407 to a peak of 5,965. Sexual harassment claims rose from 32 in 2017-18 to 435 in 2024-25. Racial harassment claims never exceed 36. A menu zooms in on the large or small counts.
Grouped bar chart of women and men who were sexually harassed in the last 12 months. By default it shows the relationship to the person who harassed them: strangers were named most often, and 26.6 per cent of women and 29.9 per cent of men named a work or professional relationship, which includes employers, co-workers and clients or customers. A menu switches to the behaviours experienced, or to where the harassment happened for women only, where 25.6 per cent said at work.
Bar chart comparing two different measures for roughly the same period. The ABS estimates about 320,200 women were sexually harassed at work in the 12 months of its 2021-22 survey, and about 1,250,800 in any setting. Safe Work Australia recorded 53 serious sexual harassment compensation claims from all workers in 2021-22. The claims bar is barely visible next to the survey bars.
Every day, hotel housekeeping workers enter guest rooms to prepare clean, comfortable spaces for visitors. Guests see the finished rooms, but rarely see the challenges faced by the people responsible for them.
Working in housekeeping gave me a different perspective on this industry. During one of my shifts, an intoxicated guest directed racist comments toward me, and the situation escalated into threatening behaviour. My supervisor witnessed the incident, intervened and escorted me to safety. Hotel management subsequently took action against the guest.
In my case, the response worked. But the experience made me think more deeply about workplace safety, particularly for housekeeping workers who spend much of their time inside guest rooms. I also became aware of concerns about inappropriate guest behaviour toward female housekeeping staff.
That led me to a broader question:
Who protects the workers responsible for making hotel guests feel safe and comfortable?
Using Australian workforce, compensation and harassment data, this project looks at the people behind housekeeping, the mistreatment and violence workers experience, and how little of it may reach a formal record. Go back to The story page to explore the five charts.
The people (chart 1). Who commercial housekeepers are, drawn from Census-based occupation data (Jobs and Skills Australia, 2026).
The risks of the job (chart 2). Housekeepers lodge lost-time injury claims at far higher rates than the average worker (Safe Work Australia, 2026b).
Violence, racist abuse and harassment (chart 3). Compensation claims for assault, harassment and bullying across all workers. Claims for racial harassment are very few (never more than 36 a year), which says more about how rarely such abuse becomes a claim than how often it happens (Safe Work Australia, 2026a).
Women and guest behaviour (charts 4 and 5). National survey data on sexual harassment of women across all jobs (Australian Bureau of Statistics [ABS], 2023). There is no hotel-specific figure, and “work or professional relationship” includes clients and customers, so guests cannot be separated from colleagues.
How workplaces respond. None of these three sources records what employers do when an incident is reported. My own experience shows one workplace acting quickly. Chart 5 only shows how small a part of what people experience reaches compensation records. Whether other workplaces respond as mine did is a question these data cannot answer.
These data do not show how often hotel housekeepers face guest misconduct. They show the surrounding evidence for why the question matters.
This project began with a personal experience. While working in hotel housekeeping, I faced racist comments and threatening behaviour from a guest. My supervisor intervened, and management took action to protect me. That experience made me question whether other housekeeping workers receive the same protection.
The data show that housekeeping workers face occupational safety risks, while broader Australian statistics demonstrate that workplace harassment affects both men and women. However, the available data do not directly measure how often hotel guests mistreat housekeeping staff or how effectively individual hotels respond to these incidents.
So, who protects housekeeping workers?
Employers and supervisors have an important responsibility to protect their staff. In my experience, immediate intervention made a difference. But the data cannot establish whether that level of protection is consistently available to other workers.
Guest satisfaction should never come before employee safety. Hotels need clear reporting procedures, effective responses to misconduct, and a workplace culture where every employee feels safe speaking up.
Behind every clean hotel room is a worker who deserves the same respect and protection as the guest staying there.
What we can say: The workforce has distinct employment characteristics; housekeeping has measurable occupational injury risks; and broader Australian data document harassment and compensation claims.
What we cannot say: These sources do not measure guest-perpetrated mistreatment specifically among hotel housekeepers, nor do they measure how consistently hotels respond to complaints.
Why it matters: Better occupation-specific data on guest misconduct, reporting and employer responses would help show whether protection extends beyond individual experiences.
Data sources (three independent sources, all downloaded as Excel files)
How the data were loaded. Every chart reads the downloaded Excel files directly, with no retyped numbers. Preprocessing is in the first code chunk: selecting rows by label, converting year columns to long format, turning “NP” (not published) into missing values, and calculating the all-occupation part-time share as 100 minus the full-time share.
Limitations
Ethics. My personal experience is described in general terms only. No guest, colleague, supervisor or workplace is identified.
Australian Bureau of Statistics. (2023). Sexual harassment, 2021–22 [Data set]. https://www.abs.gov.au/statistics/people/crime-and-justice/sexual-harassment/latest-release
Jobs and Skills Australia. (2026). Occupation data – February 2026 (ANZSCO basis) [Data set; data from the Australian Bureau of Statistics, 2021 Census of Population and Housing]. https://www.jobsandskills.gov.au/data/occupation-and-industry-profiles/occupations/811411-commercial-housekeepers
Safe Work Australia. (n.d.). Understanding workers’ compensation injury frequency rates. https://data.safeworkaustralia.gov.au/interactive-data/whs-data-reporting/understanding-wcifr
Safe Work Australia. (2026a). National dataset for compensation-based statistics detailed data file 2024–25 [Data set]. https://data.safeworkaustralia.gov.au/about-our-datasets/workers-compensation-data
Safe Work Australia. (2026b). Workers’ compensation injury frequency rate detailed data file 2024–25 [Data set]. https://data.safeworkaustralia.gov.au/interactive-data/topic/workers-compensation-injury-frequency-rates
OpenAI. (2026). ChatGPT (GPT-6) [Large language model]. https://chatgpt.com
Acknowledgements. I used ChatGPT (OpenAI, 2026) to help identify and fix errors in my code, check grammar and spelling, and improve the clarity of my writing. All final decisions and assignment content were reviewed by me.