Mannequin Mounter
302.733 kr. (DKK)/yr
145,54 kr. (DKK)/hr
3.512 kr. (DKK)/yr
The average mannequin mounter gross salary in Denmark is 302.733 kr. or an equivalent hourly rate of 146 kr.. In addition, they earn an average bonus of 3.512 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Denmark. An entry level mannequin mounter (1-3 years of experience) earns an average salary of 235.089 kr.. On the other end, a senior level mannequin mounter (8+ years of experience) earns an average salary of 356.941 kr..
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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.
334.504 kr. (DKK)
10 %
Based on our compensation data, the estimated salary potential for Mannequin Mounter will increase 10 % over 5 years.
Education data not available for this job
Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageDenmark (Danish: Danmark, pronounced [ˈtænmɑk] ) is a Nordic country in the south-central portion of Northern Europe. It is the metropolitan part of and the most populous constituent of the Kingdom of Denmark, a constitutionally unitary state that includes the autonomous territories of the Faroe Islands and Greenland in the North Atlantic Ocean. Metropolitan Denmark is the southernmost of the Scandinavian countries, lying south-west and south of Sweden, south of Norway, and north of Germany, with...
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
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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