Tissue Technician

425.673 kr. (DKK)/yr

204,65 kr. (DKK)/hr

6.811 kr. (DKK)/yr

The average tissue technician gross salary in Odense, Denmark is 425.673 kr. or an equivalent hourly rate of 205 kr.. This is 6% lower (-27.003 kr.) than the average tissue technician salary in Denmark. In addition, they earn an average bonus of 6.811 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Odense, Denmark. An entry level tissue technician (1-3 years of experience) earns an average salary of 308.925 kr.. On the other end, a senior level tissue technician (8+ years of experience) earns an average salary of 522.230 kr..

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447.564 kr. (DKK)

5 %

Based on our compensation data, the estimated salary potential for Tissue Technician will increase 5 % over 5 years.

This chart displays the highest level of education for:
Tissue Technician, the majority at 100% with associates.

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Odense, Denmark

The cost of living in Odense, 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.

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Odense ( OH-dən-sə, US also OH-thən-sə, Danish: [ˈoðˀn̩sə] ) is the third largest city in Denmark (behind Copenhagen and Aarhus) and the largest city on the island of Funen. As of 1 January 2023, the city proper had a population of 182,387 while Odense Municipality had a population of 207,762, 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 Functional...

Sourced from Wikipedia
This occupation includes the 2018 SOC occupations 29-2011 Medical and Clinical Laboratory Technologists and 29-2012 Medical and Clinical Laboratory Technicians. Read More

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ERI’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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