Statisticians

United States SOC 15-2041.00 AI & Data Confidence ★★★★★

Also called: Analytical Statistician, Applied Scientist, Applied Statistician, Biometrician, Clinical Analyst, Data Analyst, Data Analyst Specialist, Data Analytics Specialist

Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information.

Median annual pay
$105,650
25th–75th pct. $82,220–$141,490
Top pay (est.)
$226,300
Top 10% $174,050
Pay in 5 years
$120,300est.
2031
Pay in 10 years
$137,000est.
$117,800–$159,000
Outlook score
59/100
★★★☆☆ Average
AI replacement risk
74%
High
Job growth (10 yr)
+11.0%
1,900 openings / yr

What statisticians do

Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

Typical tasks

Typical path into the job (BLS)

Education Master's degreeRelated experience NoneOn-the-job training NoneO*NET Job Zone 5

Statisticians salary

The median annual wage for statisticians is $105,650 (BLS OEWS May 2025; BLS Employment Projections 2025–35, national). The lowest 10 percent earn less than $64,000 and the highest 10 percent earn more than $174,050. The mean annual wage is $115,700.

Median
$105,650
Mean
$115,700
10th percentile
$64,000
Entry level
25th percentile
$82,220
75th percentile
$141,490
90th percentile
$174,050
Top earners
Mean hourly wage
$55.00
7.6× the federal minimum ($7.25)
In Japanese yen
¥16.61M
≈ at 157.25 JPY/USD

The mean hourly wage of $55.00 is 7.6× the federal minimum wage of $7.25. State minimums are higher in most large states. Minimum wage by state →

How does your pay compare with people your age?

Your numbers are not sent or stored. The comparison uses this occupation's BLS wage percentiles, adjusted for age with BLS median weekly earnings by age group (Q3 2026).

Pay by percentile

Entry level (10th pct.)
$64,000
Early career (25th pct.)
$82,220
Mid career (median)
$105,650
Experienced (75th pct.)
$141,490
Top earners (90th pct.)
$174,050

Annual wage percentiles from the BLS Occupational Employment and Wage Statistics (OEWS). Percentiles are a good proxy for pay by experience.

How median, percentiles and the pay range are defined →

Projected pay for Statisticians (3, 5 and 10 years)est.

Today $105,650 → in 3 years $114,200 → in 5 years $120,300 → in 10 years $137,000 (10-year range $117,800–$159,000). The model assumes pay growth of +2.6% per year.

$105,650
Now
2026
$114,200
In 3 yrs
2029
$105,400–$124,300
$120,300
In 5 yrs
2031
$108,400–$134,000
$137,000
In 10 yrs
2036
$117,800–$159,000

What drives the annual growth rate

Base wage growth +3.0%Labor demand +0.35%AI impact -0.72%Total +2.6% / yr

Projected pay = current pay × (1 + annual growth)^years. The annual growth rate starts from a base wage-growth rate and adds or subtracts labor demand (BLS projected employment growth), wage momentum and AI replacement risk for each occupation. Projections are not guarantees. How it is calculated →

Outlook score for Statisticians

59/100
★★★☆☆
Average · ranked #261 of all U.S. occupations
Pay level
87 pts
AI resistance
26 pts
Entry barrier
82 pts
Annual openings
15 pts
Projected growth
94 pts

Each component is a percentile rank among all occupations in the same country (0–100). Weights: labor demand 25, wage momentum / openings 15, pay level 15, AI resistance 25, aging workforce 10 (Japan only), entry barrier 10.

Will AI replace Statisticians? AI replacement risk

74%
High
Ranked #763 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Labor demand for Statisticians

Employment
29K
BLS OEWS
Projected employment
35K
2025–35
Projected change
+11.0%
ranked #49 for growth
Annual openings
1,900
growth + replacement needs
Demand score
High
60/100
Typical entry education
Master's degree
Work experience
None
in a related occupation
On-the-job training
None

Employment projections are from the BLS Employment Projections program (2025–35). Annual openings include both new jobs and replacement of workers who leave the occupation.

Skills, education and requirements for Statisticians

Key skills

Mathematics
5.4
Reading Comprehension
4.9
Critical Thinking
4.5
Speaking
4.2
Writing
4.2
Complex Problem Solving
4.1
Active Listening
4.0
Judgment and Decision Making
3.9

O*NET skill level ratings (0–7).

Key knowledge areas

Mathematics
6.2
Computers and Electronics
5.6
English Language
4.8
Administration and Management
3.6
Education and Training
3.6
Administrative
3.0
Biology
2.9
Customer and Personal Service
2.8

What the work involves

Analyzing Data or InformationProcessing InformationUpdating and Using Relevant KnowledgeInterpreting the Meaning of Information for OthersThinking CreativelyCommunicating with Supervisors, Peers, or SubordinatesMaking Decisions and Solving ProblemsGetting Information

Important abilities

Number FacilityMathematical ReasoningOral ComprehensionWritten ExpressionDeductive ReasoningInductive Reasoning

Education of workers

Master's degree
62%
Bachelor's degree
14%
Doctoral degree
10%
Associate's degree
5%
Some college
5%
Post-doctoral training
5%

Training before entry

None / short demo
38%
Up to 1 month
24%
3–6 months
14%
1–2 years
10%
6–12 months
10%
2–4 years
5%

Related work experience

None
29%
2–4 years
24%
1–2 years
14%
4–6 years
14%
6–8 years
10%
1–3 months
5%
3–6 months
5%

Job Zone 5 — extensive preparation needed (O*NET)

Difficulty of entry: ★★★☆☆ Moderate (from education, training, experience and Job Zone)

How to become statisticians

Typical education
Master's degree
BLS
Related experience
None
On-the-job training
None

A step-by-step guide for this occupation is being prepared. The education, training and experience data above show the typical path.

Career path and how to earn more as statisticians

Career-path guidance is being prepared. Pay by percentile is shown in the Pay section.

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.