At risk / Parking Enforcement Worker
SOC 33-3041.00

Parking Enforcement Worker

VerdictModerate Risk
Signal 01 · structural exposure
39
/ 100

This occupation's raw structural score (61/100) is moderately high, reflecting real physical patrol work that current general-purpose AI models can't perform directly.

Signal 02 · real-world AI usage
Not yet available

We have not ingested real-world usage data for this occupation yet. We show a band only where genuine data exists, rather than estimate one.

What this is not
Neither reading measures whether any single parking enforcement worker has lost work to AI. That data does not exist anywhere yet — both signals describe tasks, not headcount. This page is not a prediction that this job disappears.
How we calculated this →

What a parking enforcement worker actually does

Parking enforcement workers patrol assigned lots, garages, and streets to identify overtime and illegal parking, writing citations, checking vehicle-registration databases, and arranging towing for vehicles in violation. Daily work includes walking or driving a patrol route, chalk-marking tires to track how long a vehicle has been parked, radioing dispatch about disputes or towing needs, and investigating contested citations.

The role is a municipal-employee position rather than a licensed profession, with training that ranges from a few days to about a year of on-the-job instruction depending on the city. Parking enforcement workers work for city and county governments, university campuses, and private parking-management companies, and job titles include Parking Enforcement Officer and Parking Control Officer.

Why it reads this way

This occupation's raw structural score (61/100) is moderately high, reflecting real physical patrol work that current general-purpose AI models can't perform directly.

But this site's research checklist requires checking real-world physical and autonomous-systems deployment before trusting a comfortable score, and here the evidence points the other way: Automated License Plate Recognition (ALPR) camera systems are already in active use for parking enforcement in real, named cities including San Jose and Seattle, and vendors including T2 Systems, Vaxtor, and Leonardo/Elsag explicitly market ALPR as replacing manual ticketing and chalk-marking rather than merely assisting it.

Seattle's own 2024 Office of Inspector General audit documented this deployment directly. While most cities currently still require a human officer to review and confirm a citation before it's issued, the real, disclosed effect of ALPR is that it lets a smaller enforcement staff cover a much larger patrol area, the same core displacement mechanism this site has already documented for Meter Reader (whose smart-meter equivalent, Advanced Metering Infrastructure, drove a real 12% BLS-projected employment decline).

Unlike Security Guard, this occupation carries no individually-held state license or credential requirement to fall back on. BLS does not publish a standalone growth projection for this specific detail occupation, a real data gap disclosed honestly rather than papered over with a borrowed figure.

Skills this role draws on

Parking Regulation EnforcementCitation Writing & DocumentationVehicle Registration Database LookupDispute InvestigationRadio/Dispatch Coordination
Pay & demand
$32,260–$75,440
10th–90th percentile, USD/year
Average: $46,730/yr
Demand
Low
Growth outlook
Uncertain
Projected growth
Not separately published by BLS for this detail occupation (no standalone BLS OOH page); disclosed as a real data gap rather than substituting a borrowed figure

Range source: BLS Occupational Employment and Wage Statistics / O*NET OnLine, May 2023-2025
Average source: O*NET OnLine 2025 wage data (Annual Median Wage) for Parking Enforcement Workers (33-3041.00); min/max from BLS OEWS May 2023 10th/90th percentile

Research verdict
Assessed as of 2026-08-19
At risk

Parking Enforcement Worker scores 61/100 on raw structural exposure, but this is a case where the research-checklist's §2a physical/autonomous-systems-deployment check overrides a comfortable numeric score. Automated License Plate Recognition (ALPR) systems are already deployed for parking enforcement in named cities including San Jose and Seattle (documented directly in Seattle's own 2024 OIG audit), and vendors explicitly market ALPR as replacing manual ticketing and chalk-marking, letting a smaller enforcement staff cover a larger patrol area, the same core mechanism already documented on this site for Meter Reader. No individual license or credential requirement protects this occupation the way state guard-card systems protect Security Guard. Per this site's standing discipline of following real evidence over a comfortable score, this occupation is classified At-risk.

This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-02-19.

Sources (3)
Last updated: August 2026Source: BLS Occupational Employment and Wage Statistics / O*NET OnLine, May 2023-2025

Data sources & methodology

Salary data: BLS Occupational Employment and Wage Statistics / O*NET OnLine, May 2023-2025. Average figure sourced separately: O*NET OnLine 2025 wage data (Annual Median Wage) for Parking Enforcement Workers (33-3041.00); min/max from BLS OEWS May 2023 10th/90th percentile.

Task descriptions: Based on O*NET occupational analysis (33-3041.00).

Real-world AI usage band: Microsoft's "Working with AI" study of Bing Copilot conversations mapped to O*NET tasks (arXiv 2507.07935), and corroborating data from the Anthropic Economic Index.

Growth projections: Not separately published by BLS for this detail occupation (no standalone BLS OOH page); disclosed as a real data gap rather than substituting a borrowed figure, based on BLS Occupational Outlook Handbook.

Learn more about our methodology