Parking enforcement workers
SOC Code: 33-3041
Parking enforcement workers carries a 46% AI exposure score (High automation risk), with a median annual wage of $47,150 and -1.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 8,400 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 46% AI exposure, Parking enforcement workers sits 9 points above the 37.2% average across 832 U.S. occupations - more exposed than 82% of them. Most of its core tasks still require human judgment.
Career outlook score
24/100
Parking enforcement workers, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage F $47,150
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -1.5%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) F 46% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Parking enforcement workers in the High band.
Credential × growth standing
Open entry with non-declining BLS pace
Parking enforcement workers keeps an HS / some college bar (333 of 832) and sits in Slow growth (245 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.
Where Parking enforcement workers sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Parking enforcement workers sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
46% Higher than most higher than 82% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Parking enforcement workers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Parking enforcement workers is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Parking enforcement workers's High automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 33-3041) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Parking enforcement workers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Parking enforcement workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Enter and retrieve information pertaining to vehicle registration, identification, and status, using hand-held computers.
- 2. Patrol an assigned area by vehicle or on foot to ensure public compliance with existing parking ordinance.
- 3. Write warnings and citations for illegally parked vehicles.
- 4. Appear in court at hearings regarding contested traffic citations.
- 5. Maintain assigned equipment and supplies, such as hand-held citation computers, citation books, rain gear, tire-marking chalk, and street cones.
- 6. Respond to and make radio dispatch calls regarding parking violations and complaints.
- 7. Maintain close communications with dispatching personnel, using two-way radios or cell phones.
- 8. Perform simple vehicle maintenance procedures, such as checking oil and gas, and report mechanical problems to supervisors.
- 9. Observe and report hazardous conditions, such as missing traffic signals or signs, and street markings that need to be repainted.
- 10. 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.
Key Skills Required
- Speaking
- Monitoring
- Active Listening
- Critical Thinking
- Social Perceptiveness
- Reading Comprehension
- Coordination
- Service Orientation
- Time Management
- Writing
Knowledge Areas
- English Language
- Public Safety and Security
- Law and Government
- Computers and Electronics
- Education and Training
- Psychology
- Foreign Language
- Transportation
- Administration and Management
- Communications and Media
Frequently Asked Questions
Will AI replace Parking enforcement workers?
Parking enforcement workers has an AI exposure score of 46%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Parking enforcement workers?
According to BLS Employment Projections 2024-2034, Parking enforcement workers is projected to decline by 1.5% over the decade. Current employment stands at approximately 8,400 workers.
What skills are needed for Parking enforcement workers?
Key skills for Parking enforcement workers include Speaking, Monitoring, Active Listening, and others. Typical entry-level education is High school diploma or equivalent.
How much do Parking enforcement workers earn?
The median annual wage for Parking enforcement workers is $47,150, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Parking enforcement workers?
The typical entry-level education for Parking enforcement workers is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Parking enforcement workers?
Parking enforcement workers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Parking enforcement workers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (46% here).
- Administrative services managers · AI exposure 46%
- Conservation scientists · AI exposure 46%
- Dental assistants · AI exposure 46%
- Economists · AI exposure 46%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-1.5% here).
- Education administrators, kindergarten through secondary · growth -1.5%
- Hosts and hostesses, restaurant, lounge, and coffee shop · growth -1.5%
- Teaching assistants, except postsecondary · growth -1.5%
- Baggage porters and bellhops · growth -1.6%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
What to do with this
Use Parking enforcement workers' numbers above to compare, not just read in isolation.
- Compare Parking enforcement workers side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).