Loading Unit Operator Crimping
552 765 ₽ (RUB)/yr
265,75 ₽ (RUB)/hr
6 910 ₽ (RUB)/yr
The average loading unit operator crimping gross salary in Nizhny Novgorod, Russian Federation is 552 765 ₽ or an equivalent hourly rate of 266 ₽. This is 19% higher (+89 255 ₽) than the average loading unit operator crimping salary in Russian Federation. In addition, they earn an average bonus of 6 910 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level loading unit operator crimping (1-3 years of experience) earns an average salary of 431 984 ₽. On the other end, a senior level loading unit operator crimping (8+ years of experience) earns an average salary of 661 617 ₽.
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.
658 163 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Loading Unit Operator Crimping 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.