Parking attendants
SOC Code: 53-6021
Parking attendants carries a 45% AI exposure score (High automation risk), with a median annual wage of $34,600 and +3.0% projected employment growth from 2024 to 2034 (BLS), affecting approximately 135,700 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 45% AI exposure, Parking attendants sits 8 points above the 37.2% average across 832 U.S. occupations - more exposed than 81% of them. Most of its core tasks still require human judgment.
Career outlook score
26/100
Parking attendants, 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 $34,600
Annual median wage, percentile rank vs all tracked occupations
- Projected growth C- +3.0%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) F 45% 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 attendants in the High band.
Credential × growth standing
Open entry with non-declining BLS pace
Parking attendants keeps an No credential bar (109 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.
Where Parking attendants 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 attendants sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
45% Higher than most higher than 81% 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 attendants vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Parking attendants 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 attendants'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 53-6021) 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 attendants 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 attendants. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Take numbered tags from customers, locate vehicles, and deliver vehicles, or provide customers with instructions for locating vehicles.
- 2. Inspect vehicles to detect any damage.
- 3. Greet customers and open their car doors.
- 4. Issue ticket stubs or place numbered tags on windshields, log tags or attach tag to customers' keys, and give customers matching tags for locating parked vehicles.
- 5. Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips.
- 6. Patrol parking areas to prevent vehicle damage and vehicle or property thefts.
- 7. Explain and calculate parking charges, collect fees from customers, and respond to customer complaints.
- 8. Park and retrieve automobiles for customers in parking lots, storage garages, or new car lots.
- 9. Provide customer assistance and information, such as giving directions or handling wheelchairs.
- 10. Keep parking areas clean and orderly to ensure that space usage is maximized.
Key Skills Required
- Speaking
- Service Orientation
- Active Listening
- Social Perceptiveness
- Critical Thinking
- Writing
- Mathematics
- Monitoring
- Coordination
- Judgment and Decision Making
Knowledge Areas
- Customer and Personal Service
- English Language
- Transportation
- Public Safety and Security
- Mathematics
- Production and Processing
- Education and Training
- Administrative
- Administration and Management
- Sales and Marketing
Frequently Asked Questions
Will AI replace Parking attendants?
Parking attendants has an AI exposure score of 45%, 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 attendants?
According to BLS Employment Projections 2024-2034, Parking attendants is projected to grow by 3.0% over the decade. Current employment stands at approximately 135,700 workers.
What skills are needed for Parking attendants?
Key skills for Parking attendants include Speaking, Service Orientation, Active Listening, and others. Typical entry-level education is No formal educational credential.
How much do Parking attendants earn?
The median annual wage for Parking attendants is $34,600, 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 attendants?
The typical entry-level education for Parking attendants is No formal educational credential. 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 attendants?
Parking attendants 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 attendants: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (45% here).
- Aerospace engineers · AI exposure 45%
- Airfield operations specialists · AI exposure 45%
- Couriers and messengers · AI exposure 45%
- First-line supervisors of gambling services workers · AI exposure 45%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (+3.0% here).
- Business operations specialists, all other · growth +3.0%
- Cardiovascular technologists and technicians · growth +3.0%
- Compliance officers · growth +3.0%
- Court, municipal, and license clerks · growth +3.0%
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
Showing 6 of 19 occupations with a comparable automation-risk profile.
What to do with this
Use Parking attendants' numbers above to compare, not just read in isolation.
- Compare Parking attendants 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).