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Police and Sheriff's Patrol Officers

Occupation · SOC 33-3051.00

Maintain order and protect life and property by enforcing local, tribal, state, or federal laws and ordinances. Perform a combination of the following duties: patrol a specific area; direct traffic; issue traffic summonses; investigate accidents; apprehend and arrest suspects, or serve legal processes of courts. Includes police officers working at educational institutions.

Also called: Deputy · Deputy Sheriff · Patrol Officer · Police Officer · Law Enforcement Officer · Patrol Deputy · Peace Officer · Police Patrol Officer · Public Safety Officer · State Trooper · Accident Prevention Squad Police Officer · Alcohol Law Enforcement Agent (ALE Agent)

Job family: Protective Service Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-33-3051-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

37th-percentile task overlap — yet about 53,700 openings a year (+3.1% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Low 30th -0.7
LLM task exposure, γ (OpenAI / Eloundou) Moderate 40th 0.4
AI assistant applicability (Microsoft) Moderate 47th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.4). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.1 · 28th percentile among occupations · Low

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Provide road information to assist motorists. 4.1%
Record facts to prepare reports that document incidents and activities. 1.9%
Review facts of incidents to determine if criminal act or statute violations were involved. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +3.1% by 2034
Projected annual openings 53,700
Employment 2024 → 2034 698,800 → 720,800

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

26% mean task exposure (2025)
48th percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Customs and Border Inspectors · 3351 32% Minimal
Police Officers · 5412 14% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Public Safety and Security 4.8
Law and Government 4.8
English Language 4.3
Psychology 4.1
Customer and Personal Service 4.0
Education and Training 3.8
Telecommunications 3.5
Administration and Management 3.5
Administrative 3.4
Computers and Electronics 3.4
Communications and Media 3.3

Abilities

Oral Comprehension 4.5
Problem Sensitivity 4.5
Deductive Reasoning 4.3
Inductive Reasoning 4.3
Oral Expression 4.1
Written Comprehension 3.9
Speech Clarity 3.9
Information Ordering 3.8
Near Vision 3.8
Far Vision 3.6
Speech Recognition 3.6
Written Expression 3.5
Flexibility of Closure 3.5
Category Flexibility 3.4
Trunk Strength 3.4

Essential skills

Active Listening 3.9
Speaking 3.9
Critical Thinking 3.8
Active Learning 3.8
Reading Comprehension 3.6
Monitoring 3.5
Writing 3.3

Transferable skills

Social Perceptiveness 3.9
Coordination 3.6
Persuasion 3.6
Judgment and Decision Making 3.6
Service Orientation 3.5
Negotiation 3.4
Complex Problem Solving 3.3

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 42.

Tools & technology

Example Category
Microsoft Access Data base user interface and query software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Visio Process mapping and design software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Computer aided composite drawing software Graphics or photo imaging software
Computer aided dispatch software Helpdesk or call center software
Corel WordPerfect Office Suite Office suite software
Crime mapping software Map creation software
Database software Data base user interface and query software
DesignWare 3D EyeWitness Graphics or photo imaging software
Email software Electronic mail software
ESRI ArcView Geographic information system
IBM Lotus 1-2-3 Spreadsheet software
Integrated Automated Fingerprint Identification System IAFIS Data base user interface and query software
Law enforcement information databases Data base user interface and query software
Microsoft Internet Explorer Internet browser software
National Crime Information Center (NCIC) database Data base user interface and query software
National Integrated Ballistics Information Network NIBIN Data base user interface and query software
SmartDraw Legal Graphics or photo imaging software
SmugMug Flickr Graphics or photo imaging software
Spillman Technologies Records Management Data base user interface and query software
The CAD Zone The Crime Zone Graphics or photo imaging software
Web browser software Internet browser software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Deal With External Customers or the Public in General 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.8
Contact With Others 4.8
Importance of Being Exact or Accurate 4.7
In an Enclosed Vehicle or Operate Enclosed Equipment 4.7
Telephone Conversations 4.7
Frequency of Decision Making 4.7
Dealing With Unpleasant, Angry, or Discourteous People 4.6
Work With or Contribute to a Work Group or Team 4.6
Outdoors, Exposed to All Weather Conditions 4.6
Impact of Decisions on Co-workers or Company Results 4.5
Freedom to Make Decisions 4.5
Health and Safety of Other Workers 4.5
Conflict Situations 4.4
E-Mail 4.2
Coordinate or Lead Others in Accomplishing Work Activities 4.1
Determine Tasks, Priorities and Goals 4.0
Exposed to Extremely Bright or Inadequate Lighting Conditions 4.0
Physical Proximity 4.0
Dealing with Violent or Physically Aggressive People 4.0
Written Letters and Memos 4.0
Time Pressure 4.0
Exposed to Very Hot or Cold Temperatures 3.9
Exposed to Hazardous Equipment 3.7
Importance of Repeating Same Tasks 3.7
Consequence of Error 3.6
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.6
Exposed to Contaminants 3.5
Spend Time Sitting 3.5
Exposed to Disease or Infections 3.4
Indoors, Not Environmentally Controlled 3.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.3
Work Outcomes and Results of Other Workers 3.3
Indoors, Environmentally Controlled 3.0
Exposed to Minor Burns, Cuts, Bites, or Stings 3.0
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.0
Spend Time Standing 2.9
Level of Competition 2.9
Exposed to Hazardous Conditions 2.9

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Homeland Security, Law Enforcement, Firefighting and Related Protective Services , Natural Resources and Conservation . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 40.4%
Post-Secondary Certificate 21.3%
Associate's Degree (or other 2-year degree) 17.1%
Some College Courses 14.7%
Bachelor's Degree 6.6%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Dependability 9.0
Attention to Detail 8.0
Integrity 7.0
Cautiousness 6.0
Self-Control 5.0
Stress Tolerance 4.0
Perseverance 3.0

Interest areas

Protective Service 6.9
Law 4.5
Transportation/Machine Operation 4.2
Physical/Manual Labor 3.1
Public Speaking 2.9

Career interests (Holland / RIASEC)

Realistic 5.4
Conventional 4.3
Enterprising 4.1
Social 3.5

Wages & employment

U.S. · annual wages (BLS OEWS)

$48k10th$59k25th$76kMedian$97k75th$115k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
699k2024721k2034 (proj.)+3.1% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $47,640
25th percentile $58,980
Median (50th) $76,290
75th percentile $97,190
90th percentile $115,280
People employed 666,990

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Educational Services · Sector 25,630 $64,310
Health Care and Social Assistance · Sector 2,450 $65,410
Transportation and Warehousing · Sector 450 $81,200
Other Services (except Public Administration) · Sector $86,720

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Educational Services · Sector 0.43× 25,630
Health Care and Social Assistance · Sector 0.02× 2,450
Transportation and Warehousing · Sector 0.01× 450

Part of the Public Service & Safety career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Police and Sheriff's Patrol Officers sits at the 37th percentile of AI task-overlap and the 65th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Police and Sheriff's Patrol Officers Correctional Officers and Jailers Transit and Railroad Police Security Guards First-Line Supervisors of Police and Detectives Detectives and Criminal Investigators Private Detectives and Investigators Probation Officers and Correctional Treatment Specialists AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Police and Sheriff's Patrol Officers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Zoom out

On the global GenAI exposure gradient this work sits around the 48th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Police and Sheriff's Patrol Officers show 37th-percentile AI task overlap — and about 53,700 annual U.S. openings

  • Police and Sheriff's Patrol Officers rank in the 37th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 53,700 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+3.1%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $76,290, across about 666,990 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Police and Sheriff's Patrol Officers show 37th-percentile AI task overlap — and about 53,700 annual U.S. openings

• Police and Sheriff's Patrol Officers rank in the 37th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 53,700 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+3.1%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $76,290, across about 666,990 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Police and Sheriff's Patrol Officers". https://singulariki.com/roles/role-33-3051-00
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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Police and Sheriff's Patrol Officers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-33-3051-00

APA

Singulariki. (2026). Police and Sheriff's Patrol Officers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-33-3051-00

BibTeX
@misc{singulariki-role-33-3051-00,
  title  = {Police and Sheriff's Patrol Officers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-33-3051-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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