Computer Programming Supervisor
45 128 € (EUR)/yr
21,70 € (EUR)/hr
2 139 € (EUR)/yr
The average computer programming supervisor gross salary in Vilnius, Lithuania is 45 128 € or an equivalent hourly rate of 22 €. This is 13% higher (+5 042 €) than the average computer programming supervisor salary in Lithuania. In addition, they earn an average bonus of 2 139 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Vilnius, Lithuania. An entry level computer programming supervisor (1-3 years of experience) earns an average salary of 31 604 €. On the other end, a senior level computer programming supervisor (8+ years of experience) earns an average salary of 51 384 €.
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58 880 € (EUR)
30 %
Based on our compensation data, the estimated salary potential for Computer Programming Supervisor will increase 30 % over 5 years.
This chart displays the highest level of education for:
Computer Programming Supervisor, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Vilnius, Lithuania is equal to the average cost of living in Lithuania. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageVilnius ( VIL-nee-əs, Lithuanian: [ˈvʲɪlʲnʲʊs] ) is the capital of and largest city in Lithuania and the most-populous city in the Baltic states. The city's estimated January 2026 population was 617,984, and the Vilnius urban area (which extends beyond the city limits) has an estimated population of 747,864. Vilnius is notable for the architecture of its Old Town, considered one of Europe's largest and best-preserved old towns. The city was declared a UNESCO World Heritage Site in 1994. The arc
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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