Ski Repairer Production
13 883 ₾ (GEL)/yr
6,67 ₾ (GEL)/hr
172 ₾ (GEL)/yr
The average ski repairer production gross salary in Georgia is 13 883 ₾ or an equivalent hourly rate of 7 ₾. In addition, they earn an average bonus of 172 ₾. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Georgia. An entry level ski repairer production (1-3 years of experience) earns an average salary of 10 860 ₾. On the other end, a senior level ski repairer production (8+ years of experience) earns an average salary of 16 851 ₾.
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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.
18 162 ₾ (GEL)
31 %
Based on our compensation data, the estimated salary potential for Ski Repairer Production will increase 31 % 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 PageGeorgia (Georgian: საქართველო, romanized: sakartvelo, IPA: [sakʰartʰʷelo] ) is a transcontinental country in Eastern Europe and West Asia. It is part of the Caucasus region, bounded by the Black Sea to the west, Russia to the north and northeast, Turkey to the southwest, Armenia to the south, and Azerbaijan to the southeast. Georgia covers an area of 69,700 square kilometres (26,900 sq mi). It has a population of 3.7 million, of which over a third live in the capital and largest city, Tbilisi. Georgians...
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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.
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