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Latest available salary statistics are for 2025. Compare average pay, salary range and related job listings.
44 600 - 66 800 SEK / month
Women earn 91% of what men do.
Administration, ekonomi
Related tools
A mathematical statistician works with analyzing and interpreting large datasets to identify patterns, trends, and relationships. The role often involves developing statistical models, simulating scenarios, and performing probability calculations in fields such as medicine, industry, finance, and social planning. The work is primarily computer-based and involves close contact with other specialists, such as researchers, engineers, and decision-makers. The work environment is generally office-based and characterized by analytical challenges, high demands for accuracy, and the need to communicate complex results in an understandable way.
The salary for a mathematical statistician has shown a clear upward trend in recent years. In 2022, the average salary was 47,200 SEK, which increased to 53 400 SEK in 2023 and further to 54 300 SEK in 2024. This corresponds to an increase of about 13% over three years. The development can partly be explained by increased demand for advanced data analysis across several sectors, as well as employers valuing higher education levels and specialized skills more highly. At the same time, competition for qualified statisticians has increased, pushing salaries higher. Despite this, some salary disparities between men and women in the profession remain.
Within the statistician role, there are opportunities to specialize in applications such as artificial intelligence, epidemiology, or financial analysis. The combination of mathematical depth and practical problem-solving skills makes the profession attractive both in research and industry.
To work as a mathematical statistician, a university degree in mathematics and statistics is usually required. The career typically begins with a bachelor's degree followed by a master's degree in the field. Specialized courses, internships, and programming experience are often advantageous, and some employers also require a doctoral degree for more advanced positions.
Mathematical statisticians are often offered benefits such as pension schemes, flexible hours, wellness allowances, and the possibility of remote work. In some cases, professional development, conference travel, and extra vacation days are included. The private sector may also offer bonus programs and higher pension contributions.
The competition for positions as a mathematical statistician varies depending on specialization and geographic region. Despite increasing demand for advanced data analysis and statistics in both private and public sectors, the number of qualified applicants is limited. Rapid technological development requires continuous skill updating, especially in programming and new analysis tools. The role also demands strong communication skills, as complex results often need to be explained to non-experts. Additionally, issues such as unequal pay between genders and uncertainty about future job market needs for this specialization remain.
To succeed as a mathematical statistician, it is beneficial to have an analytical mindset and strong problem-solving abilities. Building solid programming and statistical skills early on increases understanding and marketability. Precision is crucial in complex analyses, so practicing methodical and detail-oriented work is wise. Good communication skills are also important, as results are often presented to non-statisticians. Engaging in internships or research projects during studies provides valuable experience and networks. Flexibility and curiosity help stay updated on rapidly evolving methods and tools. Finally, seeking mentorship and actively participating in industry networks can provide insights into various career paths.
After three to five years in the profession, multiple career paths open for a mathematical statistician. Many choose to further specialize in areas such as biostatistics, data science, machine learning, or economic analysis. Others advance to leadership roles such as project manager, head of statistics, or strategic analyst. The employment agency’s forecasts for statisticians indicate a lack of sufficient data for precise future assessment, but increased digitalization and data-driven decision-making suggest good prospects ahead. With the right skills and experience, international work or consultancy roles are also possible.
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 25-34 | 90% | 47600 kr | 48300 kr |
| 35-44 | 92% | 57100 kr | 57900 kr |
| 45-54 | 89% | 55800 kr | 56500 kr |
| 55-64 | 89% | 55100 kr | 55500 kr |
| Snitt | 91% | 53600 kr | 54300 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 27300 kr | 27300 kr | |
| 25-34 | 100% | 39300 kr | 39300 kr |
| 35-44 | 99% | 46500 kr | 46800 kr |
| 45-54 | 98% | 50300 kr | 50400 kr |
| 55-64 | 99% | 52000 kr | 52000 kr |
| 65-68 | 92% | 54000 kr | 54000 kr |
| Snitt | 99% | 47200 kr | 47400 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 27300 kr | 27300 kr | |
| 25-34 | 100% | 39300 kr | 39300 kr |
| 35-44 | 99% | 46500 kr | 46800 kr |
| 45-54 | 98% | 50300 kr | 50400 kr |
| 55-64 | 99% | 52000 kr | 52000 kr |
| 65-68 | 92% | 54000 kr | 54000 kr |
| Snitt | 99% | 47200 kr | 47400 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 25-34 | 53000 kr | 54000 kr | |
| 35-44 | 67200 kr | 68400 kr | |
| 45-54 | 65400 kr | 67300 kr | |
| Snitt | 87% | 60700 kr | 62000 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 25-34 | 53000 kr | 54000 kr | |
| 35-44 | 67200 kr | 68400 kr | |
| 45-54 | 65400 kr | 67300 kr | |
| Snitt | 87% | 60700 kr | 62000 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 25-34 | 90% | 49700 kr | 50400 kr |
| 35-44 | 92% | 59100 kr | 60000 kr |
| 45-54 | 89% | 58800 kr | 59900 kr |
| 55-64 | 89% | 58300 kr | 58900 kr |
| Snitt | 91% | 56000 kr | 56800 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 25-34 | 100% | 39300 kr | 39400 kr |
| 35-44 | 99% | 46500 kr | 47000 kr |
| 45-54 | 98% | 50700 kr | 50800 kr |
| 55-64 | 99% | 52400 kr | 52400 kr |
| 65-68 | 92% | 56700 kr | 56700 kr |
| Snitt | 99% | 47400 kr | 47600 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 25-34 | 100% | 39300 kr | 39400 kr |
| 35-44 | 99% | 46500 kr | 47000 kr |
| 45-54 | 98% | 50700 kr | 50800 kr |
| 55-64 | 99% | 52400 kr | 52400 kr |
| 65-68 | 92% | 56700 kr | 56700 kr |
| Snitt | 99% | 47400 kr | 47600 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 25-34 | 55600 kr | 56600 kr | |
| 35-44 | 68500 kr | 69700 kr | |
| Snitt | 87% | 64000 kr | 65500 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 25-34 | 55600 kr | 56600 kr | |
| 35-44 | 68500 kr | 69700 kr | |
| Snitt | 87% | 64000 kr | 65500 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 25-34 | 90% | 44900 kr | 45500 kr |
| 35-44 | 92% | 54400 kr | 55100 kr |
| 45-54 | 89% | 53000 kr | 53400 kr |
| 55-64 | 89% | 52000 kr | 52200 kr |
| Snitt | 91% | 51000 kr | 51400 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 28500 kr | 28500 kr | |
| 25-34 | 100% | 39200 kr | 39300 kr |
| 35-44 | 99% | 46400 kr | 46500 kr |
| 45-54 | 98% | 49900 kr | 50000 kr |
| 55-64 | 99% | 51600 kr | 51600 kr |
| 65-68 | 92% | 52000 kr | 52000 kr |
| Snitt | 99% | 47100 kr | 47200 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 28500 kr | 28500 kr | |
| 25-34 | 100% | 39200 kr | 39300 kr |
| 35-44 | 99% | 46400 kr | 46500 kr |
| 45-54 | 98% | 49900 kr | 50000 kr |
| 55-64 | 99% | 51600 kr | 51600 kr |
| 65-68 | 92% | 52000 kr | 52000 kr |
| Snitt | 99% | 47100 kr | 47200 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| Snitt | 87% | 56200 kr | 57100 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| Snitt | 87% | 56200 kr | 57100 kr |
All information displayed on this page is based on data from the Swedish Central Bureau of Statistics (SCB), the Swedish Tax Agency and the Swedish employment agency. Learn more about our data and data sources here.
All figures are gross salaries, meaning salaries before tax. The average salary, or mean salary, is calculated by adding up the total salary for all individuals within the profession and dividing it by the number of individuals. For specific job categories, we have also considered various criteria such as experience and education.
Profession Mathematical statistician has the SSYK code 2122, which we use to match against the SCB database to obtain the latest salary statistics.
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