Ranked #111 safest from AI among all Japanese occupations
Very lowLowModerateHighVery high
How AI is changing this job
A written analysis for this occupation is being prepared.
AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using the MHLW job tag survey on work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →
Skills, education and requirements for ハウスクリーニング
Key skills
Active Listening
2.4
Speaking
2.3
Social Perceptiveness
2.3
Time Management
2.3
Instructing
2.2
Coordination
2.1
Equipment Selection
2.0
Writing
2.0
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Customer and Personal Service
1.4
Administrative
0.8
Administration and Management
0.7
English Language
0.7
Sales and Marketing
0.6
Public Safety and Security
0.6
Personnel and Human Resources
0.6
Psychology
0.6
What the work involves
Handling and Moving ObjectsPerforming General Physical ActivitiesScheduling Work and ActivitiesOrganizing, Planning, and Prioritizing WorkUpdating and Using Relevant KnowledgeEstablishing and Maintaining Interpersonal RelationshipsCommunicating with People Outside the OrganizationJudging the Qualities of Objects, Services, or People
Important abilities
Problem SensitivityStatic StrengthStaminaManual DexterityFinger DexterityGross Body Equilibrium
Licenses and certifications (Japan)
ハウスクリーニング技能士 National license
Related qualifications listed on job tag (names in Japanese). Some are mandatory, others recommended.
Education of workers
Training before entry
Related work experience
Difficulty of entry: ★☆☆☆☆ Easy to enter (from education, training, experience, licenses)
Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: Basic Survey on Wage Structure (2025), Population Census and Hello Work employment statistics as published on the MHLW job tag site (retrieved Nov 1, 2026); Occupational Information Database (JILPT). Pay ranges, projections and scores are Shigoto Zukan estimates.