Electronics Assembler (General)
384.938 kr. (DKK)/yr
185,07 kr. (DKK)/hr
5.736 kr. (DKK)/yr
The average electronics assembler (general) gross salary in Greve Strand, Denmark is 384.938 kr. or an equivalent hourly rate of 185 kr.. This is 3% lower (-13.104 kr.) than the average electronics assembler (general) salary in Denmark. In addition, they earn an average bonus of 5.736 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Greve Strand, Denmark. An entry level electronics assembler (general) (1-3 years of experience) earns an average salary of 292.274 kr.. On the other end, a senior level electronics assembler (general) (8+ years of experience) earns an average salary of 423.506 kr..
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419.403 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Electronics Assembler (General) will increase 9 % over 5 years.
This chart displays the highest level of education for:
Electronics Assembler (General), the majority at 93% with high schools.
Typical Field of Study: Electrical/Electronics Equipment Installation and Repair Training
See how education can impact your salaryThe cost of living in Greve Strand, Denmark is 3% more 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 PageGreve Municipality (Danish: Greve Kommune is a kommune about 21 km south-west of Copenhagen in Region Sjælland on the east coast of the island of Zealand (Sjælland) in eastern Denmark. The municipality covers an area of 60 km2, and has a total population of 53,536 (2025). The site of its municipal council is the town of Greve Strand. It serves primarily as a residential municipality, functioning as a suburb for the larger Copenhagen area.
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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