Minimum Data Set Coordinator
95 205 zł (PLN)/yr
45,77 zł (PLN)/hr
1 400 zł (PLN)/yr
The average minimum data set coordinator gross salary in Wrocław, Poland is 95 205 zł or an equivalent hourly rate of 46 zł. This is 10% higher (+8 703 zł) than the average minimum data set coordinator salary in Poland. In addition, they earn an average bonus of 1 400 zł. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Wrocław, Poland. An entry level minimum data set coordinator (1-3 years of experience) earns an average salary of 68 495 zł. On the other end, a senior level minimum data set coordinator (8+ years of experience) earns an average salary of 106 743 zł.
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113 387 zł (PLN)
19 %
Based on our compensation data, the estimated salary potential for Minimum Data Set Coordinator will increase 19 % 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 Wrocław, Poland is 6% more than the average cost of living in Poland. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageWrocław (Polish: [ˈvrɔt͡swaf] ; German: Breslau [ˈbʁɛslaʊ] ; also known by other names) is a city in southwestern Poland, and the capital of the Lower Silesian Voivodeship. It is the largest city and historical capital of the region of Silesia. It lies on the banks of the Oder (Odra) River in the Silesian Lowlands. In 2025, the official population of Wrocław was 672,545, making it the third-largest city in Poland. The population of the Wrocław metropolitan area is around 1.25 million. Wrocław is
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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