Residential Mental Health and Substance Abuse Facilities
National industry · NAICS 623220
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Residential Mental Health and Substance Abuse Facilities is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 258,680 workers across 159 detailed occupations in it. A typical worker earns around $51,004 a year (Singulariki estimate, see below).
This industry comprises establishments primarily engaged in providing residential care and treatment for patients with mental health and substance abuse illnesses. These establishments provide room, board, supervision, and counseling services. Although medical services may be available at these establishments, they are incidental to the counseling, mental rehabilitation, and support services offered. These establishments generally provide a wide range of social services in addition to counseling. Illustrative Examples: Alcoholism or drug addiction rehabilitation facilities (except licensed hospitals) Psychiatric convalescent homes or hospitals Mental health halfway houses Residential group homes for the emotionally disturbed Cross-References.
Employment is national May 2024 OEWS. "Typical pay" is Singulariki's own figure — the employment-weighted average of each occupation's national median wage — a rough center of the industry, not an official BLS number.
How exposed this industry is to AI
Weighting every occupation in this industry by its employment and its unified AI-exposure index (the OpenAI "GPTs are GPTs" human-rated task overlap folded with the Felten/Raj/Seamans AIOE index), this industry sits in the Moderate band — 62nd percentile across all industries.
Exposure measures how much of the work overlaps with what today's AI can do, not a prediction of automation; high-exposure industries are where AI is most likely to reshape tasks. Employment-weighted across 138 occupations that carry an exposure score. Compare every industry on the AI exposure hub.
How AI is actually used in this industry
Among measured Claude.ai (Free and Pro) conversations mapped to O*NET task statements (Anthropic Economic Index, 2026-01-15), these patterns are most associated with the occupations in this industry, weighted by its employment mix. They are shares of observed AI conversations — not of worker time, revenue, or what could be automated — and reflect one AI assistant's consumer sample, not all AI.
| Signal coverage | 52.8% of employment · 93/155 occupations have AEI task data |
| Augmentation vs. automation | 45.6% working with AI · 30.6% handed to AI |
| Most common pattern | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.5 / 5 · higher = AI acts more independently |
Tasks driving the signal
The task families that account for the most AI activity across this industry's occupations (employment × observed usage), each attributed to the occupation it comes from.
| Task | Occupation | How | Share of signal |
|---|---|---|---|
| Troubleshoot problems involving office equipment, such as computer hardware and software. | Office Clerks, General | Feedback loop | 17.7% |
| Direct or provide home health services. | Registered Nurses | Learning | 6.1% |
| Use computers for various applications, such as database management or word processing. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 4.7% |
| Conduct searches to find needed information, using such sources as the Internet. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 4.3% |
| Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans. | Registered Nurses | Learning | 4.2% |
| Develop or maintain internal or external company Web sites. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 3.3% |
| Review class material with students by discussing text, working solutions to problems, or reviewing worksheets or other assignments. | Teachers and Instructors, All Other | Directive | 3.0% |
| Instruct individuals in career development techniques such as job search and application strategies, resume writing, and interview skills. | Educational, Guidance, and Career Counselors and Advisors | Iteration | 2.9% |
| Provide private instruction to individual or small groups of students to improve academic performance, improve occupational skills, or prepare for academic or occupational tests. | Teachers and Instructors, All Other | Learning | 2.1% |
| Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work. | First-Line Supervisors of Office and Administrative Support Workers | Iteration | 1.9% |
| Teach patient education programs that include information required to make informed health care and treatment decisions. | Registered Nurses | Directive | 1.7% |
| Develop instructional materials and conduct in-service and community-based educational programs. | Medical and Health Services Managers | Iteration | 1.1% |
Occupations behind the signal
The occupations whose AI-touched tasks contribute most to this industry's signal, by employment here.
| Occupation | Workers | Share | How they use AI |
|---|---|---|---|
| Social and Human Service Assistants | 20,290 | 7.8% | Learning |
| Registered Nurses | 12,230 | 4.7% | Learning |
| Mental Health and Substance Abuse Social Workers | 10,650 | 4.1% | Learning |
| Residential Advisors | 9,760 | 3.8% | Directive |
| Social and Community Service Managers | 6,890 | 2.7% | Iteration |
| Licensed Practical and Licensed Vocational Nurses | 6,680 | 2.6% | Directive |
| Medical and Health Services Managers | 5,570 | 2.1% | Iteration |
| General and Operations Managers | 4,050 | 1.6% | Iteration |
| Maintenance and Repair Workers, General | 3,870 | 1.5% | Learning |
| Rehabilitation Counselors | 3,810 | 1.5% | Iteration |
| Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | 3,460 | 1.3% | Directive |
| Child, Family, and School Social Workers | 3,280 | 1.3% | Learning |
This rollup is only as complete as the occupation-task matches available for the industry; the coverage figure above is shown so sparse industries do not look falsely precise. AI exposure is not the same as replacement.
Skill & tool metabolism
What this industry's work actually runs on. Each figure is the share of the industry's workers in occupations that significantly rely on a skill, knowledge area, or ability (O*NET importance ≥ 3 of 5), or that use a tool category — its employment reach. This is a measure of how widespread a requirement is across the workforce, not how intensively any one worker uses it. Shares are independent and need not add to 100%.
Based on 66.6% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.
Skills
| Skill | Employment reach | Workers |
|---|---|---|
| Active Listening | 65.6% | 169,760 |
| Speaking | 65.2% | 168,700 |
| Critical Thinking | 64.5% | 166,850 |
| Monitoring | 62.9% | 162,660 |
| Coordination | 62.5% | 161,690 |
| Reading Comprehension | 62.2% | 160,950 |
| Service Orientation | 61.9% | 160,130 |
| Time Management | 60.4% | 156,290 |
| Social Perceptiveness | 60.0% | 155,100 |
| Writing | 58.0% | 150,150 |
| Judgment and Decision Making | 57.0% | 147,330 |
| Complex Problem Solving | 56.6% | 146,330 |
Knowledge areas
| Knowledge area | Employment reach | Workers |
|---|---|---|
| English Language | 65.9% | 170,390 |
| Customer and Personal Service | 64.6% | 167,020 |
| Education and Training | 48.3% | 124,960 |
| Psychology | 45.5% | 117,590 |
| Therapy and Counseling | 41.0% | 106,130 |
| Administration and Management | 38.4% | 99,220 |
| Administrative | 37.7% | 97,470 |
| Computers and Electronics | 37.0% | 95,750 |
| Sociology and Anthropology | 34.3% | 88,690 |
| Public Safety and Security | 33.3% | 86,050 |
| Medicine and Dentistry | 24.3% | 62,830 |
| Mathematics | 24.1% | 62,430 |
Abilities
| Abilitie | Employment reach | Workers |
|---|---|---|
| Near Vision | 66.6% | 172,220 |
| Oral Comprehension | 66.4% | 171,860 |
| Oral Expression | 66.2% | 171,170 |
| Speech Clarity | 64.9% | 167,910 |
| Speech Recognition | 64.9% | 167,990 |
| Problem Sensitivity | 64.5% | 166,880 |
| Information Ordering | 64.1% | 165,730 |
| Written Comprehension | 64.0% | 165,500 |
| Deductive Reasoning | 63.8% | 165,010 |
| Inductive Reasoning | 63.8% | 165,060 |
| Written Expression | 61.4% | 158,710 |
| Category Flexibility | 57.8% | 149,400 |
Tool categories
| Tool category | Employment reach | Workers |
|---|---|---|
| Spreadsheet software | 67.0% | 173,380 |
| Word processing software | 65.0% | 168,250 |
| Office suite software | 64.6% | 167,200 |
| Electronic mail software | 63.9% | 165,370 |
| Internet browser software | 55.3% | 143,080 |
| Presentation software | 52.4% | 135,460 |
| Medical software | 51.4% | 133,040 |
| Data base user interface and query software | 51.1% | 132,160 |
| Operating system software | 28.9% | 74,790 |
| Document management software | 27.9% | 72,110 |
| Calendar and scheduling software | 27.4% | 70,960 |
| Project management software | 27.0% | 69,950 |
| Web page creation and editing software | 25.3% | 65,390 |
| Analytical or scientific software | 25.2% | 65,250 |
| Enterprise resource planning ERP software | 25.2% | 65,300 |
Reach = share of industry employment in occupations where the requirement is significant; it is not a per-worker usage or proficiency measure. Skill, knowledge, and ability importance is from O*NET; tool use is reported presence of a technology category.
Largest occupations
The occupations that employ the most people in this industry, with their share of the industry's workforce and national median pay for the occupation (not industry-specific pay).
Showing the top 40 of 159 occupations by employment.
Most distinctive occupations
The occupations most unusually concentrated in this industry compared with the economy as a whole. The location quotient is how many times more common an occupation is here versus its economy-wide share (a value of 5 means five times as concentrated).
| Occupation | Concentration | Workers |
|---|---|---|
| Residential Advisors | 70.25× | 9,760 |
| Substance Abuse, Behavioral Disorder, and Mental Health Counselors | 54.95× | 40,600 |
| Psychiatric Technicians | 53.4× | 12,210 |
| Mental Health and Substance Abuse Social Workers | 50.42× | 10,650 |
| Psychiatric Aides | 44.4× | 2,600 |
| Social and Human Service Assistants | 28.51× | 20,290 |
| Rehabilitation Counselors | 25.54× | 3,810 |
| Social and Community Service Managers | 21.01× | 6,890 |
| Marriage and Family Therapists | 17.28× | 1,910 |
| Recreational Therapists | 14.25× | 360 |
| Counselors, All Other | 10.55× | 590 |
| Community Health Workers | 9.23× | 940 |
| First-Line Supervisors of Personal Service Workers | 8.41× | 1,510 |
| Psychiatrists | 7.45× | 310 |
| Therapists, All Other | 7.4× | 240 |
| Clinical and Counseling Psychologists | 7.35× | 890 |
| Licensed Practical and Licensed Vocational Nurses | 6.3× | 6,680 |
| Community and Social Service Specialists, All Other | 6.16× | 1,140 |
| Healthcare Support Workers, All Other | 6.04× | 1,050 |
| Cooks, Institution and Cafeteria | 5.88× | 4,420 |
Write a report on thisheadline · factoids · citation
The Residential Mental Health and Substance Abuse Facilities workforce sits at the 62nd percentile of AI task overlap — 258,680 U.S. workers
- Weighting every occupation by its real share of Residential Mental Health and Substance Abuse Facilities employment, the industry's workforce ranks in the 62nd percentile (Moderate band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk.Eloundou et al. + Felten AIOE, weighted by BLS OEWS
- The industry employs about 258,680 U.S. workers across 159 occupations.BLS OEWS (May 2024)
- Employment-weighted typical annual pay is about $51,004.BLS OEWS (May 2024)
- Of AI use observed across this industry's occupations, 46% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
The Residential Mental Health and Substance Abuse Facilities workforce sits at the 62nd percentile of AI task overlap — 258,680 U.S. workers • Weighting every occupation by its real share of Residential Mental Health and Substance Abuse Facilities employment, the industry's workforce ranks in the 62nd percentile (Moderate band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk. (Eloundou et al. + Felten AIOE, weighted by BLS OEWS) • The industry employs about 258,680 U.S. workers across 159 occupations. (BLS OEWS (May 2024)) • Employment-weighted typical annual pay is about $51,004. (BLS OEWS (May 2024)) • Of AI use observed across this industry's occupations, 46% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index) Source: Singulariki — "Residential Mental Health and Substance Abuse Facilities". https://singulariki.com/industries/623220 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Residential Mental Health and Substance Abuse Facilities." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/industries/623220
Singulariki. (2026). Residential Mental Health and Substance Abuse Facilities. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/623220
@misc{singulariki-623220,
title = {Residential Mental Health and Substance Abuse Facilities},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/industries/623220}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.