* Specific job: A mathematician working in academia will earn far less than a data scientist or financial analyst with the same degree. Jobs like actuary, software developer, or operations research analyst are also possibilities, each with different pay scales.
* Years of experience: Entry-level positions will pay considerably less than those held by someone with 10+ years of experience.
* Location: Salaries vary widely geographically; major metropolitan areas tend to offer higher pay.
* Company size and type: Larger companies and those in high-growth industries often pay more.
* Specific skills and additional qualifications: Master's or Ph.D. degrees, specialized certifications (e.g., in data science), or proficiency in programming languages (like Python or R) can significantly impact earning potential.
While a precise average is impossible to state, you can find salary data through these resources, keeping in mind the factors listed above:
* Salary comparison websites: Sites like Glassdoor, Salary.com, Payscale, and Indeed offer salary information based on user-submitted data. Be sure to filter your searches by job title, location, and experience level.
* Bureau of Labor Statistics (BLS): The BLS provides detailed occupational employment and wage statistics in the US. Search for relevant occupations (e.g., mathematicians, statisticians, actuaries, data scientists) to find salary data.
* Professional organizations: Organizations like the American Mathematical Society (AMS) may offer salary surveys or resources related to career paths and compensation for mathematics graduates.
In short, researching specific job titles within the field of mathematics on the above-mentioned websites will give you a much more accurate picture of potential earnings than a general "average" for a BA in mathematics.