Driver Heavy Truck
898 941 ₽ (RUB)/yr
432,18 ₽ (RUB)/hr
22 294 ₽ (RUB)/yr
The average driver heavy truck gross salary in Nizhny Novgorod, Russian Federation is 898 941 ₽ or an equivalent hourly rate of 432 ₽. This is 5% higher (+42 300 ₽) than the average driver heavy truck salary in Russian Federation. In addition, they earn an average bonus of 22 294 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level driver heavy truck (1-3 years of experience) earns an average salary of 669 241 ₽. On the other end, a senior level driver heavy truck (8+ years of experience) earns an average salary of 1 105 543 ₽.
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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.
1 070 344 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Driver Heavy Truck will increase 19 % over 5 years.
This chart displays the highest level of education for:
Driver Heavy Truck, the majority at 93% with high schools.
Typical Field of Study: Truck and Bus Driver/Commercial Vehicle Operator and Instructor 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.