Statistician Salary Overview
A Statistician in the United States earns a median of $99,960 a year, or about $48.06 an hour over a full-time year of 2,080 hours. The role requires proficiency with industry-standard tools and technologies including R, Python, SAS, SPSS, Stata, SQL, Tableau, JMP, Bayesian analysis software (Stan, BUGS), machine learning libraries (scikit-learn), clinical trial software, survey sampling tools. The band runs from $56,600 to $168,400, a spread of 198 per cent between the two ends, which for this occupation is decided mainly by years in the role and by the employer rather than by job title. On the median salary, federal income tax takes about $13,605 and FICA another $7,647, leaving $78,708 in a state with no income tax such as Texas or Florida; add California income tax of roughly $5,434 and take-home pay falls to about $73,274, an effective rate of 26.7 per cent. Education: The typical path to becoming a Statistician involves earning a Master's in Statistics, Biostatistics, or Applied Mathematics (minimum for most positions); PhD for research, pharmaceutical, and academic roles; Bachelor's for entry-level analyst positions.
The pay band for a Statistician is unusually steep: the lead level pays about 2.4 times the entry level, or $143,942 against $59,976. A spread that wide means the occupation rewards accumulated judgement rather than credentials, and it has a practical consequence for anyone starting out: the first offer matters far less than the rate of progression, because the band above is large enough to absorb a modest start within a few years.
The largest single step is the one out of the entry level, worth about $39,984 a year. That places the decisive moment early: the two or three years it takes to stop being junior are worth more than any later promotion, which argues for choosing a first employer on what it will teach rather than on what it pays.
Every one of the best-paying states for this occupation (DC, CA, NJ) levies an income tax, which means the highest gross offers are also the most heavily taxed. The comparison worth making is against a lower gross in a state without income tax: on this median salary the state layer is large enough that the ranking by take-home pay differs from the ranking by salary.
Demand concentrates in Washington, DC, San Francisco, CA, Newark, NJ, and those are also among the most expensive places to live in the country. A premium of ten or twenty per cent on the median does not survive a housing cost twice the national figure, so the right comparison for a Statistician weighing a move is take-home pay minus rent, not salary against salary.
The Statistician is one of the most important roles in the Science sector of the US economy in 2026. With a median annual salary of $99,960, compensation for this position ranges from $56,600 at the entry level to $168,400 for highly experienced professionals in top-paying markets.
This career typically requires Master's in Statistics, Biostatistics, or Applied Mathematics (minimum for most positions); PhD for research, pharmaceutical, and academic roles; Bachelor's for entry-level analyst positions. Valued professional credentials include PStat (Professional Statistician from ASA), SAS certification, Certified Analytics Professional (CAP), Graduate Statistician (GStat). On a day-to-day basis, professionals in this role focus on designing studies and experiments with appropriate statistical methods, analyzing complex datasets, developing statistical models, interpreting results and communicating findings to non-technical audiences, ensuring data quality and validity, reviewing literature for methodology, providing statistical consulting to research teams, and publishing methodological papers.
The job market for this position shows 32% from 2022-2032 (much faster than average) driven by data explosion, clinical trial needs, government survey requirements, and quantitative decision-making across all industries growth, with demand strongest in specializations including biostatistics (clinical trials), survey statistics, Bayesian methods, spatial statistics, time series analysis, and machine learning/statistical learning. AI and machine learning are extensions of statistics; statisticians who master both classical methods and ML are in enormous demand; the theoretical rigor, experimental design expertise, and causal inference skills of statisticians become more valuable as data grows
Salary Range: The typical Statistician in the US earns between $56,600 and $168,400 per year, with a median of $99,960.
What Does a Statistician Do?
A Statistician spends their workday designing studies and experiments with appropriate statistical methods, analyzing complex datasets, developing statistical models, interpreting results and communicating findings to non-technical audiences, ensuring data quality and validity, reviewing literature for methodology, providing statistical consulting to research teams, and publishing methodological papers. The role requires proficiency with industry-standard tools and technologies including R, Python, SAS, SPSS, Stata, SQL, Tableau, JMP, Bayesian analysis software (Stan, BUGS), machine learning libraries (scikit-learn), clinical trial software, survey sampling tools.
The typical work environment involves pharmaceutical companies, government agencies (Census, BLS, FDA), universities, consulting firms, or tech companies; office-based analytical work; collaborative with domain experts; remote-friendly; intellectually rigorous; deadline-driven around publications or regulatory submissions. Within the profession, you can specialize in areas such as biostatistics (clinical trials), survey statistics, Bayesian methods, spatial statistics, time series analysis, and machine learning/statistical learning, each requiring different skill sets and offering different compensation levels.
Day-to-day responsibilities vary based on seniority and organization size. Entry-level professionals often focus on execution tasks under supervision, while senior professionals take on strategic planning, mentoring, and cross-functional leadership.
Statistician Salary by Experience
| Level | Salary | Hourly | Take-Home |
|---|---|---|---|
| Entry | $59,976 | $29/hr | $48,333 |
| Mid | $99,960 | $48/hr | $73,274 |
| Senior | $128,948 | $62/hr | $90,759 |
| Lead | $143,942 | $69/hr | $99,613 |
Best and Worst States for Statistician Pay
Which states let a Statistician keep the most, and least, of their salary, ranked by annual take-home pay.
Geographic location significantly impacts Statistician compensation. The top-paying states for this role include Maryland (government agencies), Massachusetts (pharma/biotech), California (tech/pharma), New Jersey (pharmaceutical), District of Columbia (federal statistics).
States with no income tax (Texas, Florida, Washington, Nevada, Tennessee) offer an effective pay boost of 3-9% compared to high-tax states like California or New York, though these states often compensate with higher cost of living or property taxes. When evaluating offers, consider both gross salary and after-tax take-home pay.
For a Statistician earning $99,960, state choice alone determines a $5,434 swing in annual take-home pay. This is not a theoretical exercise: Science professionals increasingly have geographic flexibility, and understanding that Texas preserves $78,708 of your salary while California only preserves $73,274 should factor into every relocation and remote work decision.
Cost-of-Living Adjusted Analysis: When factoring in regional cost of living, Texas offers the best purchasing power for a Statistician salary. While high-tax states like California and New York offer robust Science job markets, their combined tax burden and cost of living can reduce effective purchasing power by 25-40% compared to states like Texas or Georgia. A Statistician earning $99,960 in Texas enjoys purchasing power equivalent to approximately $84,632 in a baseline cost area.
Regional Market Analysis: Statistician professionals in Science should evaluate opportunities based on after-tax income rather than headline salary. A $114,954 offer in California may yield less take-home pay than a $99,960 offer in Texas or Florida once state taxes are factored in. The best financial outcomes often come from pairing strong regional demand for Statistician roles with favorable state tax treatment.
Top 10 Best States for Statistician Salary
| # | State | Gross | Federal | State Tax | FICA | Take-Home | Rate |
|---|---|---|---|---|---|---|---|
| 1 | Alaska | $99,960 | $13,605 | $0 | $7,647 | $78,708 | 21.3% |
| 2 | Florida | $99,960 | $13,605 | $0 | $7,647 | $78,708 | 21.3% |
| 3 | Nevada | $99,960 | $13,605 | $0 | $7,647 | $78,708 | 21.3% |
| 4 | New Hampshire | $99,960 | $13,605 | $0 | $7,647 | $78,708 | 21.3% |
| 5 | South Dakota | $99,960 | $13,605 | $0 | $7,647 | $78,708 | 21.3% |
| 6 | Tennessee | $99,960 | $13,605 | $0 | $7,647 | $78,708 | 21.3% |
| 7 | Texas | $99,960 | $13,605 | $0 | $7,647 | $78,708 | 21.3% |
| 8 | Washington | $99,960 | $13,605 | $0 | $7,647 | $78,708 | 21.3% |
| 9 | Wyoming | $99,960 | $13,605 | $0 | $7,647 | $78,708 | 21.3% |
| 10 | North Dakota | $99,960 | $13,605 | $1,665 | $7,647 | $77,043 | 22.9% |
Bottom 10 Worst States for Statistician Salary
| # | State | Gross | Federal | State Tax | FICA | Take-Home | Rate |
|---|---|---|---|---|---|---|---|
| 42 | Kansas | $99,960 | $13,605 | $5,041 | $7,647 | $73,667 | 26.3% |
| 43 | New York | $99,960 | $13,605 | $5,211 | $7,647 | $73,497 | 26.5% |
| 44 | Virginia | $99,960 | $13,605 | $5,231 | $7,647 | $73,476 | 26.5% |
| 45 | Minnesota | $99,960 | $13,605 | $5,347 | $7,647 | $73,361 | 26.6% |
| 46 | Delaware | $99,960 | $13,605 | $5,366 | $7,647 | $73,342 | 26.6% |
| 47 | California | $99,960 | $13,605 | $5,434 | $7,647 | $73,274 | 26.7% |
| 48 | Maine | $99,960 | $13,605 | $5,609 | $7,647 | $73,098 | 26.9% |
| 49 | District of Columbia | $99,960 | $13,605 | $5,656 | $7,647 | $73,052 | 26.9% |
| 50 | Hawaii | $99,960 | $13,605 | $7,319 | $7,647 | $71,389 | 28.6% |
| 51 | Oregon | $99,960 | $13,605 | $8,221 | $7,647 | $70,487 | 29.5% |
Statistician Take-Home Pay by City
Washington DC for government statistics (Census, BLS); Boston for biostatistics (pharma); San Francisco for tech data science; Bethesda MD for NIH biostatistics; New Brunswick NJ for pharmaceutical statistics
When comparing city compensation, factor in cost of living differences. A $99,960 salary in a mid-cost city often provides more purchasing power than a 20-30% premium in San Francisco or New York.
How to turn these figures into an actual offer, what to ask for besides base pay and when to name a number, is covered in the guide to negotiating a salary offer.
| City | Gross Salary | Total Tax | Take-Home | Rate |
|---|---|---|---|---|
| Washington, DC | $99,960 | $26,908 | $73,052 | 26.9% |
| San Francisco, CA | $99,960 | $26,686 | $73,274 | 26.7% |
| Newark, NJ | $99,960 | $25,493 | $74,467 | 25.5% |
| Boston, MA | $99,960 | $26,030 | $73,930 | 26.0% |
| Bethesda, MD | $99,960 | $25,827 | $74,133 | 25.8% |
Calculate Statistician Take-Home Pay
Adjust the state and filing status to see your estimated after-tax income.
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Pay Frequency Breakdown
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How to Become a Statistician
Education: The typical path to becoming a Statistician involves earning a Master's in Statistics, Biostatistics, or Applied Mathematics (minimum for most positions); PhD for research, pharmaceutical, and academic roles; Bachelor's for entry-level analyst positions. Some professionals enter the field through alternative pathways, but formal education provides the strongest foundation for long-term career growth.
Certifications: Key professional credentials for this role include PStat (Professional Statistician from ASA), SAS certification, Certified Analytics Professional (CAP), Graduate Statistician (GStat). These certifications demonstrate expertise to employers and often directly correlate with higher compensation.
Skills & Tools: Proficiency with R, Python, SAS, SPSS, Stata, SQL, Tableau, JMP, Bayesian analysis software (Stan, BUGS), machine learning libraries (scikit-learn), clinical trial software, survey sampling tools is expected for competitive candidates. Building a portfolio of work or gaining practical experience through internships, projects, or entry-level positions is essential for breaking into the field.
Timeline: Most professionals reach mid-level competency within 3-5 years of entering the field, with senior positions typically requiring 7-12 years of progressive experience.
Statistician Career Outlook
Employment for the Statistician role is projected to grow 32% from 2022-2032 (much faster than average) driven by data explosion, clinical trial needs, government survey requirements, and quantitative decision-making across all industries, reflecting strong demand driven by industry evolution and changing workforce needs. The most in-demand specializations include biostatistics (clinical trials), survey statistics, Bayesian methods, spatial statistics, time series analysis, and machine learning/statistical learning.
AI and Automation Impact: AI and machine learning are extensions of statistics; statisticians who master both classical methods and ML are in enormous demand; the theoretical rigor, experimental design expertise, and causal inference skills of statisticians become more valuable as data grows
Professionals who combine deep technical expertise with strong communication skills and adaptability will find the best opportunities in this evolving landscape.
Every role adjacent to this one pays more: Data Scientist, Actuary and Mathematician all sit above the Statistician's median of $99,960, and the nearest of them, Data Scientist at $108,020, is $8,060 ahead. That gap is the most concrete career information on this page, because the skills overlap: the question worth asking is which of those transitions is reachable from where you stand, and what it requires that you do not already have.
After tax the picture compresses. In California, this role's median leaves about $73,274, and across the whole adjacent group the spread between the highest and lowest take-home figure is $7,281 a year. That compression is the progressive schedule at work: a gross gap of ten thousand dollars between two neighbouring occupations is worth appreciably less once the marginal rate has taken its share, which is why a move made for the salary alone disappoints more often than the gross figures suggest.
Tax Tips for Statistician Earnings
The strategies that apply to every salaried professional, the contribution limits, the bracket arithmetic and the question of moving to a state without an income tax, are set out once in the guide to tax strategies for salaried professionals rather than repeated on each occupation page.
Statistician Salary FAQ
The median annual salary for a Statistician in the United States is $99,960 in 2026. Compensation typically ranges from $56,600 for entry-level positions to $168,400 for experienced professionals in top-paying markets. Actual pay depends on experience, location, certifications, and employer size. On a median salary of $99,960, take-home pay works out to about $73,274 a year before state-specific credits.
On a $99,960 salary, a Statistician takes home approximately $85,000-$105,000 after federal, state, and FICA taxes, depending on the state and filing status. In no-income-tax states like Texas or Florida, take-home pay is higher than in states like California or New York. On a median salary of $99,960, take-home pay works out to about $73,274 a year before state-specific credits.
Entry-level Statistician professionals with 0-2 years of experience can expect to earn around $59,976 per year. Starting salaries vary significantly by location, with major metro areas offering 15-30% premiums over rural areas. On a median salary of $99,960, take-home pay works out to about $73,274 a year before state-specific credits.
The highest-paying states for Statistician professionals include DC, CA, NJ. However, when adjusted for cost of living, some mid-tier states offer better purchasing power. No-income-tax states provide an additional 3-9% effective pay boost. On a median salary of $99,960, take-home pay works out to about $73,274 a year before state-specific credits.
The median hourly equivalent for a Statistician is approximately $48.06, based on 2,080 working hours per year. Actual hourly rates vary by experience level, with senior professionals earning $10-30 more per hour than entry-level. On a median salary of $99,960, take-home pay works out to about $73,274 a year before state-specific credits.
To become a Statistician, you typically need Master's in Statistics, Biostatistics, or Applied Mathematics (minimum for most positions); PhD for research, pharmaceutical, and academic roles; Bachelor's for entry-level analyst positions. Valuable certifications include PStat (Professional Statistician from ASA), SAS certification, Certified Analytics Professional (CAP), Graduate Statistician (GStat). Most employers also value practical experience gained through internships or entry-level positions.
Employment for Statistician professionals is projected to grow 32% from 2022-2032 (much faster than average) driven by data explosion, clinical trial needs, government survey requirements, and quantitative decision-making across all industries. AI and machine learning are extensions of statistics; statisticians who master both classical methods and ML are in enormous demand; the theoretical rigor, experimental design expertise, and causal inference skills of statisticians become more valuable as data grows. The strongest opportunities are in biostatistics (clinical trials), survey statistics, Bayesian methods, spatial statistics, time series analysis, and machine learning/statistical learning.
A Statistician typically spends their day designing studies and experiments with appropriate statistical methods, analyzing complex datasets, developing statistical models, interpreting results and communicating findings to non-technical audiences, ensuring data quality and validity, reviewing literature for methodology, providing statistical consulting to research teams, and publishing methodological papers. The work environment involves pharmaceutical companies, government agencies (Census, BLS, FDA), universities, consulting firms, or tech companies; office-based analytical work; collaborative with domain experts; remote-friendly; intellectually rigorous; deadline-driven around publications or regulatory submissions.
Personal finance and taxation expert. Specialized in US federal and state tax calculations, paycheck analysis, and helping Americans understand their take-home pay across all 50 states.
Sources & References
Tax rates, salary data, and deduction figures used on this page are sourced from official US government publications:
- IRS.gov, Federal income tax brackets, standard deductions, and tax procedures for the 2026 tax year
- Bureau of Labor Statistics (BLS.gov), Occupational Employment and Wage Statistics (OEWS) for median salary data
- Social Security Administration (SSA.gov), Social Security wage base, FICA tax rates, and Medicare thresholds
- IRS Tax Withholding Estimator, Federal paycheck withholding calculations and verification
Last reviewed and updated: 2026-09-27. This content is for informational purposes only and does not constitute tax advice.