Cushion Closer
429 113 ₽ (RUB)/yr
206,30 ₽ (RUB)/hr
5 621 ₽ (RUB)/yr
The average cushion closer gross salary in Nizhny Novgorod, Russian Federation is 429 113 ₽ or an equivalent hourly rate of 206 ₽. This is 2% higher (+8 158 ₽) than the average cushion closer salary in Russian Federation. In addition, they earn an average bonus of 5 621 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level cushion closer (1-3 years of experience) earns an average salary of 340 645 ₽. On the other end, a senior level cushion closer (8+ years of experience) earns an average salary of 507 880 ₽.
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.
510 934 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Cushion Closer 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.
View Cost of Living PageHow Much Should You Be Paid?
Learn About Our Products
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.