Assistant Pharmacy Technician
532 173 ₽ (RUB)/yr
255,85 ₽ (RUB)/hr
6 439 ₽ (RUB)/yr
The average assistant pharmacy technician gross salary in Nizhny Novgorod, Russian Federation is 532 173 ₽ or an equivalent hourly rate of 256 ₽. This is 0% lower (+21 ₽) than the average assistant pharmacy technician salary in Russian Federation. In addition, they earn an average bonus of 6 439 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level assistant pharmacy technician (1-3 years of experience) earns an average salary of 407 683 ₽. On the other end, a senior level assistant pharmacy technician (8+ years of experience) earns an average salary of 645 726 ₽.
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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.
581 139 ₽ (RUB)
9 %
Based on our compensation data, the estimated salary potential for Assistant Pharmacy Technician will increase 9 % over 5 years.
This chart displays the highest level of education for:
Assistant Pharmacy Technician, the majority at 50% with high schools.
Typical Field of Study: Pharmacy
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.