Associate Real Estate Development
942 189 ₽ (RUB)/yr
452,98 ₽ (RUB)/hr
140 763 ₽ (RUB)/yr
The average associate real estate development gross salary in Nizhny Novgorod, Russian Federation is 942 189 ₽ or an equivalent hourly rate of 453 ₽. This is 0% lower (+2 795 ₽) than the average associate real estate development salary in Russian Federation. In addition, they earn an average bonus of 140 763 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level associate real estate development (1-3 years of experience) earns an average salary of 555 144 ₽. On the other end, a senior level associate real estate development (8+ years of experience) earns an average salary of 1 199 421 ₽.
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.
1 121 838 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Associate Real Estate Development 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.