Property appraisers and assessors
SOC Code: 13-2020
Property appraisers and assessors carries a 35% AI exposure score (Medium automation risk), with a median annual wage of $65,420 and +3.8% projected employment growth from 2024 to 2034 (BLS), affecting approximately 77,300 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Property appraisers and assessors (SOC 13-2020) carries an AI exposure score of 35%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The economic context matters alongside the risk score. BLS counted approximately 77,300 workers in this occupation in 2024, and projects a +3.8% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $65,420, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Bachelor's degree, plus None of related experience.
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 Property appraisers and assessors. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Frequently Asked Questions
Will AI replace Property appraisers and assessors?
Property appraisers and assessors has an AI exposure score of 35%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Property appraisers and assessors?
According to BLS Employment Projections 2024-2034, Property appraisers and assessors is projected to grow by 3.8% over the decade. Current employment stands at approximately 77,300 workers.
What skills are needed for Property appraisers and assessors?
Property appraisers and assessors requires a combination of technical knowledge and interpersonal skills. Typical education requirement: Bachelor's degree.
How much do Property appraisers and assessors earn?
The median annual wage for Property appraisers and assessors is $65,420, 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 Property appraisers and assessors?
The typical entry-level education for Property appraisers and assessors is Bachelor's degree. Employers generally expect None of related work experience. On-the-job training typically involves Long-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Property appraisers and assessors?
Property appraisers and assessors 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
Medium automation risk based on O*NET task analysis. Most tasks require human judgment and are resistant to automation.
Related Occupations
Career Guides
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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).