Underwriter Property
1 297 137 ₽ (RUB)/yr
623,62 ₽ (RUB)/hr
46 827 ₽ (RUB)/yr
The average underwriter property gross salary in Nizhny Novgorod, Russian Federation is 1 297 137 ₽ or an equivalent hourly rate of 624 ₽. This is 4% higher (+48 517 ₽) than the average underwriter property salary in Russian Federation. In addition, they earn an average bonus of 46 827 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level underwriter property (1-3 years of experience) earns an average salary of 939 013 ₽. On the other end, a senior level underwriter property (8+ years of experience) earns an average salary of 1 617 931 ₽.
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.
1 544 466 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Underwriter Property will increase 19 % over 5 years.
This chart displays the highest level of education for:
Underwriter Property, the majority at 68% with bachelors.
Typical Field of Study: Insurance
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.