Loader Helper Sorting Yard
803 595 ₽ (RUB)/yr
386,34 ₽ (RUB)/hr
22 420 ₽ (RUB)/yr
The average loader helper sorting yard gross salary in Nizhny Novgorod, Russian Federation is 803 595 ₽ or an equivalent hourly rate of 386 ₽. This is 2% higher (+15 277 ₽) than the average loader helper sorting yard salary in Russian Federation. In addition, they earn an average bonus of 22 420 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level loader helper sorting yard (1-3 years of experience) earns an average salary of 596 606 ₽. On the other end, a senior level loader helper sorting yard (8+ years of experience) earns an average salary of 991 589 ₽.
This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
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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.
956 819 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Loader Helper Sorting Yard will increase 19 % over 5 years.
This chart displays the highest level of education for:
Loader Helper Sorting Yard, the majority at 100% with high schools.
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.