Manager Statistical Programming
779.779 kr. (DKK)/yr
374,89 kr. (DKK)/hr
48.034 kr. (DKK)/yr
The average manager statistical programming gross salary in Næstved, Denmark is 779.779 kr. or an equivalent hourly rate of 375 kr.. This is 6% lower (-47.762 kr.) than the average manager statistical programming salary in Denmark. In addition, they earn an average bonus of 48.034 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Næstved, Denmark. An entry level manager statistical programming (1-3 years of experience) earns an average salary of 542.926 kr.. On the other end, a senior level manager statistical programming (8+ years of experience) earns an average salary of 880.270 kr..
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855.457 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 Næstved, Denmark is 0% 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 PageNæstved (Danish pronunciation: [ˈnestve̝ð]) is a town in the municipality of the same name, located in the southern part of the island of Zealand in Denmark. Næstved has several adult education centers, five elementary schools - and has at least one of each type of the four upper-second-level education centers. The city has the largest high school in Denmark, Næstved Gymnasium & HF.
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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