Manager Statistical Programming
704.021 kr. (DKK)/yr
338,47 kr. (DKK)/hr
43.368 kr. (DKK)/yr
The average manager statistical programming gross salary in Aalborg, Denmark is 704.021 kr. or an equivalent hourly rate of 338 kr.. This is 15% lower (-123.520 kr.) than the average manager statistical programming salary in Denmark. In addition, they earn an average bonus of 43.368 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Aalborg, Denmark. An entry level manager statistical programming (1-3 years of experience) earns an average salary of 490.179 kr.. On the other end, a senior level manager statistical programming (8+ years of experience) earns an average salary of 794.749 kr..
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772.347 kr. (DKK)
10 %
Based on our compensation data, the estimated salary potential for Manager Statistical Programming will increase 10 % over 5 years.
This chart displays the highest level of education for:
Manager Statistical Programming, the majority at 100% with bachelors.
Typical Field of Study: Entrepreneurship/Entrepreneurial Studies
See how education can impact your salaryThe cost of living in Aalborg, Denmark is 7% less than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageAalborg or Ålborg ( AHL-borg, US also AWL-; Danish: [ˈʌlˌpɒˀ] ) is Denmark's fourth largest urban settlement (behind Copenhagen, Aarhus, and Odense) with a population of 119,862 (1 July 2022) in the town proper and an urban population of 143,598 (1 July 2022). As of 1 July 2022, the Municipality of Aalborg had a population of 221,082, making it the third most populous in the country after the municipalities of Copenhagen (capital) and Aarhus. Eurostat and OECD have used a definition for the met
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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