Project Supervisor
953 507 ₽ (RUB)/yr
458,42 ₽ (RUB)/hr
29 559 ₽ (RUB)/yr
The average project supervisor gross salary in Nizhny Novgorod, Russian Federation is 953 507 ₽ or an equivalent hourly rate of 458 ₽. This is 4% higher (+38 084 ₽) than the average project supervisor salary in Russian Federation. In addition, they earn an average bonus of 29 559 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level project supervisor (1-3 years of experience) earns an average salary of 702 021 ₽. On the other end, a senior level project supervisor (8+ years of experience) earns an average salary of 1 182 454 ₽.
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.
1 135 315 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Project Supervisor will increase 19 % over 5 years.
This chart displays the highest level of education for:
Project Supervisor, the majority at 100% with high schools.
Typical Field of Study: Business Administration and Management
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.