Patient Care Coordinator
649 664 ₽ (RUB)/yr
312,34 ₽ (RUB)/hr
12 474 ₽ (RUB)/yr
The average patient care coordinator gross salary in Nizhny Novgorod, Russian Federation is 649 664 ₽ or an equivalent hourly rate of 312 ₽. This is 7% higher (+40 026 ₽) than the average patient care coordinator salary in Russian Federation. In addition, they earn an average bonus of 12 474 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level patient care coordinator (1-3 years of experience) earns an average salary of 474 308 ₽. On the other end, a senior level patient care coordinator (8+ years of experience) earns an average salary of 808 328 ₽.
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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.
709 440 ₽ (RUB)
9 %
Based on our compensation data, the estimated salary potential for Patient Care Coordinator will increase 9 % over 5 years.
This chart displays the highest level of education for:
Patient Care Coordinator, the majority at 100% with bachelors.
Typical Field of Study: Bioethics/Medical Ethics Training
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.
View Cost of Living PageHow Much Should You Be Paid?
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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.