Claims Adjustor
1 293 166 ₽ (RUB)/yr
621,71 ₽ (RUB)/hr
41 381 ₽ (RUB)/yr
The average claims adjustor gross salary in Nizhny Novgorod, Russian Federation is 1 293 166 ₽ or an equivalent hourly rate of 622 ₽. This is 7% higher (+79 671 ₽) than the average claims adjustor salary in Russian Federation. In addition, they earn an average bonus of 41 381 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level claims adjustor (1-3 years of experience) earns an average salary of 941 457 ₽. On the other end, a senior level claims adjustor (8+ years of experience) earns an average salary of 1 610 318 ₽.
This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
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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.
1 539 738 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Claims Adjustor will increase 19 % over 5 years.
This chart displays the highest level of education for:
Claims Adjustor, the majority at 56% with bachelors.
Typical Field of Study: Finance
See how education can impact your salaryThe cost of living in Nizhny Novgorod, Russian Federation is 7% less than the average cost of living in Russian Federation. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
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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.