Minimum Data Set Coordinator
450.054 kr. (DKK)/yr
216,37 kr. (DKK)/hr
6.616 kr. (DKK)/yr
The average minimum data set coordinator gross salary in Odense, Denmark is 450.054 kr. or an equivalent hourly rate of 216 kr.. This is 6% lower (-28.550 kr.) than the average minimum data set coordinator salary in Denmark. In addition, they earn an average bonus of 6.616 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Odense, Denmark. An entry level minimum data set coordinator (1-3 years of experience) earns an average salary of 323.416 kr.. On the other end, a senior level minimum data set coordinator (8+ years of experience) earns an average salary of 501.618 kr..
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469.349 kr. (DKK)
4 %
Based on our compensation data, the estimated salary potential for Minimum Data Set Coordinator will increase 4 % over 5 years.
This chart displays the highest level of education for:
Minimum Data Set Coordinator, the majority at 100% with bachelors.
Typical Field of Study: Health/Health Care Administration/Management
See how education can impact your salary- Registered Nurse - RN - State Board
The cost of living in Odense, Denmark is 2% 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 PageOdense ( OH-dən-sə, US also OH-thən-sə; Danish: [ˈoðˀn̩sə] ) is the third largest city in Denmark (after Copenhagen and Aarhus) and the largest city on the island of Funen. As of 1 January 2025, the city proper had a population of 185,480 while Odense Municipality had a population of 210,803, making it the fourth largest municipality in Denmark (behind Copenhagen, Aarhus and Aalborg municipalities). Eurostat and OECD have used a definition for the Metropolitan area of Odense (referred to as a F
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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