Fountain Server
445 620 ₽ (RUB)/yr
214,24 ₽ (RUB)/hr
22 058 ₽ (RUB)/yr
The average fountain server gross salary in Nizhny Novgorod, Russian Federation is 445 620 ₽ or an equivalent hourly rate of 214 ₽. This is 19% higher (+71 955 ₽) than the average fountain server salary in Russian Federation. In addition, they earn an average bonus of 22 058 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level fountain server (1-3 years of experience) earns an average salary of 357 414 ₽. On the other end, a senior level fountain server (8+ years of experience) earns an average salary of 523 291 ₽.
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.
530 587 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Fountain Server 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.