District Supervisor Mud Analysis Well Logging
640.791 kr (SEK)/yr
308,07 kr (SEK)/hr
22.171 kr (SEK)/yr
The average district supervisor mud analysis well logging gross salary in Sweden is 640.791 kr or an equivalent hourly rate of 308 kr. In addition, they earn an average bonus of 22.171 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Sweden. An entry level district supervisor mud analysis well logging (1-3 years of experience) earns an average salary of 449.544 kr. On the other end, a senior level district supervisor mud analysis well logging (8+ years of experience) earns an average salary of 794.846 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.
784.386 kr (SEK)
22 %
Based on our compensation data, the estimated salary potential for District Supervisor Mud Analysis Well Logging will increase 22 % 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 PageSweden, formally the Kingdom of Sweden, is a Nordic country located on the Scandinavian Peninsula in Northern Europe. It borders Norway to the west and north, Finland to the east, and is connected to Denmark in the southwest by a bridge–tunnel across the Öresund. At 450,295 square kilometres (173,860 sq mi), Sweden is the largest Nordic country and the fifth-largest country in Europe. The capital and largest city is Stockholm. Sweden has a population of 10.5 million, and a low population density...
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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.