How Much Do Statisticians Make? Your 2025 Salary Guide

Statisticians interpret data, build statistical models, and help devise solutions for organizations such as businesses, government agencies, and academic institutions. As data becomes more important in the global economy, so too do statisticians who know how to use math to identify invaluable insights.  

Their unique skill set and aptitude for numbers mean that statisticians are increasingly in demand, and their salaries reflect this. Learn more about the average pay range for statisticians, how different factors impact your salary in this role, and the job outlook for statisticians in Canada.

How much do statisticians make?

A statistician’s salary in Canada varies based on experience, industry, and location. According to the Government of Canada Job Bank, the median hourly wage for statisticians is $47.60 CAD, roughly $99,008 CAD annually [1]. Glassdoor reports the median total annual salary for statisticians in Canada as $82,140 CAD [2]. 

Discover how other factors, such as professional experience and industry, impact a statistician’s salary.

Statistician salary by experience

A statistician's professional experience typically increases their average salary. According to Glassdoor, the estimated base salaries for statisticians across different experience levels are as follows [2]:

• Entry level (0-1 year): $65,070 CAD

• Mid-level (4-6 years): $72,172 CAD

• Senior level (10-14 years): $85,211 CAD

Statistician salary by skill level

Statisticians employ a variety of skills in their daily work. Some are technical skills, such as programming with Python, and others are workplace skills, like teamwork.

If you’re considering becoming a statistician, focus on developing these key skills:

• Knowledge of programming languages, such as Python, R, and SQL 

• Strong grasp of mathematics

• Data analysis abilities

• Database management 

• Research skills

• Problem-solving 

• Critical thinking

• Teamwork

• Collaboration

Statistician salary by location

The average statistician's salary varies from one location to another. Typical factors impacting pay between different locations include the cost of living, the cost of labour, and the local job market.

According to the Job Bank Canada, wages for statisticians vary by province. Median hourly wages include the following [1]:

• British Columbia: $42.31 CAD ($88,005 CAD annually)

• Alberta: $44.39 CAD ($92,331 CAD annually)

• Saskatchewan: $42.83 CAD ($89,086 CAD annually)

• Manitoba: $43.28 CAD ($90,022 CAD annually)

• Ontario: $47.10 CAD ($97,968 CAD annually)

• Quebec: $50.27 CAD ($104,562 CAD annually)

• New Brunswick: $37.00 CAD ($76,960 CAD annually)

• Nova Scotia: $45.67 CAD ($94,994 CAD annually)

Statistician job outlook 

Job opportunities for statisticians are expected to be positive, with a labour shortage offering more open positions than workers to fill them through 2031. Job Bank Canada predicts 4,600 new job openings between 2022 and 2031, with only 2,800 new job seekers available to fill them [3].

Related jobs and salaries

As a statistician, your skills with numbers, data collection, and analysis mean that you possess the skills that transfer to various other jobs. Consider these related jobs with their median hourly (annual) wages:

• Data scientist: $44.10 CAD ($91,728 CAD) [4] 

• Data analyst: $42.36 CAD ($88,108 CAD) [5]

• Mathematician: $47.60 CAD ($99,008 CAD) [6]

• Market researcher: $42.68 CAD ($88,774 CAD)[7]

Improve your statistics skills with Coursera.

Statisticians use their analytical skills to develop models that benefit businesses in many industries. Whether you are just starting out or a seasoned professional, you might consider taking an online, flexible course on Coursera. For example, Stanford University’s Introduction to Statistics course teaches statistical thinking concepts essential for learning from data and communicating insights. Additionally, Rice University’s Business Statistics and Analysis Specialization can be completed in three months or less and offers the skills to apply statistics to various business applications.