Programming Supervisor Applications
639.219 kr. (DKK)/yr
307,32 kr. (DKK)/hr
32.664 kr. (DKK)/yr
The average programming supervisor applications gross salary in Aalborg, Denmark is 639.219 kr. or an equivalent hourly rate of 307 kr.. This is 15% lower (-112.155 kr.) than the average programming supervisor applications salary in Denmark. In addition, they earn an average bonus of 32.664 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Aalborg, Denmark. An entry level programming supervisor applications (1-3 years of experience) earns an average salary of 442.461 kr.. On the other end, a senior level programming supervisor applications (8+ years of experience) earns an average salary of 721.371 kr..
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697.135 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Programming Supervisor Applications will increase 9 % over 5 years.
This chart displays the highest level of education for:
Programming Supervisor Applications, the majority at 38% with high schools.
Typical Field of Study: Computer Programming, Specific Applications
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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