Very High AI Risk Fast Growth

Statisticians

SOC Code: 15-2041

Statisticians carries a 62% AI exposure score (Very High automation risk), with a median annual wage of $103,300 and +8.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 32,200 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
62% Very High
High exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+8.5%
Top 10% growth
2024–2034 (BLS)
+2,700 jobs
Median Annual Wage
$103,300
Above typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 62% AI exposure, Statisticians sits 25 points above the 37.2% average across 832 U.S. occupations - more exposed than 95% of them. Most of its core tasks still require human judgment.

62%
AI exposure
Top 5%
most exposed
+8.5%
Job growth 2024–34
$103,300
Median wage
C+

Career outlook score

64/100

Statisticians, 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 A $103,300

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth A+ +8.5%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) F 62% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI 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).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

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 Statisticians in the Very High band.

Credential × growth standing

Graduate credential among the thinner entry shelves

Statisticians is in the Graduate band (113 of 832) with BLS pace Fast growth (67/832). Graduate entry is a minority shelf - pairing it with fast growth growth is the standing that separates this SOC from bachelor-dominated neighbors.

Where Statisticians sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Statisticians sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

62% Higher than most higher than 95% 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.

Statisticians vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Statisticians is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk29.8%41.9%54%66.1%78.2%-6.1%4.3%14.6%25.0%35.4%AI exposure (%) →Projected growth (%) →Statisticians, AI exposure (%) →: 62% · Projected growth (%) →: 8.5%StatisticiansSoftware developers, AI exposure (%) →: 45% · Projected growth (%) →: 15.8%Software developersComputer user suppor, AI exposure (%) →: 36% · Projected growth (%) →: -3.7%Computer user supporComputer systems ana, AI exposure (%) →: 44% · Projected growth (%) →: 8.7%Computer systems anaComputer occupations, AI exposure (%) →: 76% · Projected growth (%) →: 8.2%Computer occupationsNetwork, AI exposure (%) →: 32% · Projected growth (%) →: -4.2%NetworkData scientists, AI exposure (%) →: 61% · Projected growth (%) →: 33.5%Data scientistsSoftware quality ass, AI exposure (%) →: 46% · Projected growth (%) →: 10%Software quality assInformation security, AI exposure (%) →: 45% · Projected growth (%) →: 28.5%Information securityComputer network arc, AI exposure (%) →: 49% · Projected growth (%) →: 11.9%Computer network arcComputer network sup, AI exposure (%) →: 36% · Projected growth (%) →: 1.8%Computer network supWeb, AI exposure (%) →: 36% · Projected growth (%) →: 7%Web

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

32,200
Employment 2024
34,900
Projected 2034
+8.5%
Change (%)
+2,700
Change (jobs)

Where This Score Comes From

Statisticians's Very 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 15-2041) 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 Statisticians 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 Statisticians. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
Master's degree
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  2. 2. Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  3. 3. Report results of statistical analyses, including information in the form of graphs, charts, and tables.
  4. 4. Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
  5. 5. Draw conclusions or make predictions, based on data summaries or statistical analyses.
  6. 6. Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
  7. 7. Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
  8. 8. Develop and test experimental designs, sampling techniques, and analytical methods.
  9. 9. Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
  10. 10. Calculate sample size requirements for clinical studies.

Key Skills Required

  • Mathematics
  • Reading Comprehension
  • Speaking
  • Science
  • Critical Thinking
  • Active Learning
  • Complex Problem Solving
  • Judgment and Decision Making
  • Active Listening
  • Writing

Knowledge Areas

  • Mathematics
  • English Language
  • Computers and Electronics
  • Medicine and Dentistry
  • Biology
  • Education and Training
  • Customer and Personal Service
  • Administration and Management
  • Psychology
  • Administrative

Frequently Asked Questions

Will AI replace Statisticians?

Statisticians has an AI exposure score of 62%, indicating a very 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 Statisticians?

According to BLS Employment Projections 2024-2034, Statisticians is projected to grow by 8.5% over the decade. Current employment stands at approximately 32,200 workers.

What skills are needed for Statisticians?

Key skills for Statisticians include Mathematics, Reading Comprehension, Speaking, and others. Typical entry-level education is Master's degree.

How much do Statisticians earn?

The median annual wage for Statisticians is $103,300, 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 Statisticians?

The typical entry-level education for Statisticians is Master's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Statisticians?

Statisticians 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

3.1
out of 5.0

Very High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Statisticians: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (62% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+8.5% here).

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.

What to do with this

Use Statisticians' numbers above to compare, not just read in isolation.

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).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.