Headline risk
58%
Very High RiskParking enforcement workers
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Patrol assigned area, such as public parking lot or city streets to issue tickets to overtime parking violators and illegally parked vehicles.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 47,150
Employment 2024
8.4K
Projected Change (2024–34)
-1.5%
Openings (2024–34)
0.7K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Patrol an assigned area by vehicle or on foot to ensure public compliance with existing parking ordinance. AI use: 0%
- 2. Write warnings and citations for illegally parked vehicles. AI use: 0%
- 3. Respond to and make radio dispatch calls regarding parking violations and complaints. AI use: 0%
- 4. Maintain close communications with dispatching personnel, using two-way radios or cell phones. AI use: 0%
- 5. Identify vehicles in violation of parking codes, checking with dispatchers when necessary to confirm identities or to determine whether vehicles need to be booted or towed. AI use: 0%
- 6. Observe and report hazardous conditions, such as missing traffic signals or signs, and street markings that need to be repainted. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 36.0 · 1.1M employed
Under 25: 32% · 25–54: 47% · 55+: 21%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
major_group_fallback · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.