Computer Programmer Numerical Control
613.366 kr (SEK)/yr
294,89 kr (SEK)/hr
13.371 kr (SEK)/yr
The average computer programmer numerical control gross salary in Karlstad, Sweden is 613.366 kr or an equivalent hourly rate of 295 kr. This is 2% lower (-12.522 kr) than the average computer programmer numerical control salary in Sweden. In addition, they earn an average bonus of 13.371 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Karlstad, Sweden. An entry level computer programmer numerical control (1-3 years of experience) earns an average salary of 442.777 kr. On the other end, a senior level computer programmer numerical control (8+ years of experience) earns an average salary of 687.573 kr.
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684.424 kr (SEK)
12 %
Based on our compensation data, the estimated salary potential for Computer Programmer Numerical Control will increase 12 % over 5 years.
This chart displays the highest level of education for:
Computer Programmer Numerical Control, the majority at 64% with high schools.
Typical Field of Study: Computer Programming
See how education can impact your salaryThe cost of living in Karlstad, Sweden is 1% less than the average cost of living in Sweden. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageKarlstad (US: , Swedish: [ˈkɑ̌ːɭsta(d)] ) is the 20th-largest city in Sweden, the seat of Karlstad Municipality, the capital of Värmland County, and the largest city in the province Värmland in Sweden. The city proper had 67,122 inhabitants in 2020 with 97,233 inhabitants in the wider municipality in 2023, and is the 21st largest municipality in Sweden. Karlstad has a university and a cathedral. In recent years, Karlstad has started seeing big growth with many new buildings, for example the new
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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