Computer Client Server Programmer
kr 1 038 285 (NOK)/yr
kr 499,18 (NOK)/hr
kr 41 220 (NOK)/yr
The average computer client server programmer gross salary in Trondheim, Norway is kr 1 038 285 or an equivalent hourly rate of kr 499. This is 6% lower (-kr 70 619) than the average computer client server programmer salary in Norway. In addition, they earn an average bonus of kr 41 220. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Trondheim, Norway. An entry level computer client server programmer (1-3 years of experience) earns an average salary of kr 730 938. On the other end, a senior level computer client server programmer (8+ years of experience) earns an average salary of kr 1 172 967.
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kr 1 186 332 (NOK)
14 %
Based on our compensation data, the estimated salary potential for Computer Client Server Programmer will increase 14 % over 5 years.
This chart displays the highest level of education for:
Computer Client Server Programmer, the majority at 67% with associates.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Trondheim, Norway is 0% more than the average cost of living in Norway. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageTrondheim (UK: TRON(D)-hyme, US: TRON(D)-haim; Urban East Norwegian: [ˈtrɔ̂nː(h)æɪm]; Southern Sami: Tråante), historically Kaupangen, Nidaros, and Trondhjem (locally [ˈtrɔ̂nːjæm] ), is a city and municipality in Trøndelag county, Norway. As of January 1, 2026, it had a population of 218,460. Trondheim is the third most populous municipality in Norway, and is the fourth largest urban area. Trondheim lies on the south shore of Trondheim Fjord at the mouth of the River Nidelva. Among the signifi
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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