Electronics Assembler (Precision)
402.704 kr. (DKK)/yr
193,61 kr. (DKK)/hr
7.611 kr. (DKK)/yr
The average electronics assembler (precision) gross salary in Esbjerg, Denmark is 402.704 kr. or an equivalent hourly rate of 194 kr.. This is 5% lower (-21.007 kr.) than the average electronics assembler (precision) salary in Denmark. In addition, they earn an average bonus of 7.611 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Esbjerg, Denmark. An entry level electronics assembler (precision) (1-3 years of experience) earns an average salary of 297.577 kr.. On the other end, a senior level electronics assembler (precision) (8+ years of experience) earns an average salary of 447.848 kr..
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437.897 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Electronics Assembler (Precision) will increase 9 % over 5 years.
This chart displays the highest level of education for:
Electronics Assembler (Precision), the majority at 58% with high schools.
Typical Field of Study: Aircraft Powerplant Technician Training
See how education can impact your salaryThe cost of living in Esbjerg, Denmark is 3% 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 PageEsbjerg (Danish: [ˈesˌpjɛɐ̯ˀ] , Jutish: [ˈɛspʲæa̯]) is a seaport city and seat of Esbjerg Municipality on the west coast of the Jutland peninsula in southwest Denmark. By road, it is 71 kilometres (44 mi) west of Kolding and 164 kilometres (102 mi) southwest of Aarhus. With an urban population of 71,554 (1 January 2025) it is the fifth-largest city in Denmark, and the largest in West Jutland. Before a decision was made to establish a harbour (now the second largest in Denmark) at Esbjerg in 1868
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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