Technician Real Estate Appraisal
1 120 599 ₽ (RUB)/yr
538,75 ₽ (RUB)/hr
35 859 ₽ (RUB)/yr
The average technician real estate appraisal gross salary in Nizhny Novgorod, Russian Federation is 1 120 599 ₽ or an equivalent hourly rate of 539 ₽. This is 7% higher (+69 039 ₽) than the average technician real estate appraisal salary in Russian Federation. In addition, they earn an average bonus of 35 859 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level technician real estate appraisal (1-3 years of experience) earns an average salary of 821 586 ₽. On the other end, a senior level technician real estate appraisal (8+ years of experience) earns an average salary of 1 390 820 ₽.
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.
1 334 267 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Technician Real Estate Appraisal will increase 19 % over 5 years.
Education data not available for this job
The 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.