Principal Statistician
3 282 079 ₽ (RUB)/yr
1 577,92 ₽ (RUB)/hr
324 598 ₽ (RUB)/yr
The average principal statistician gross salary in Nizhny Novgorod, Russian Federation is 3 282 079 ₽ or an equivalent hourly rate of 1 578 ₽. This is 13% higher (+377 199 ₽) than the average principal statistician salary in Russian Federation. In addition, they earn an average bonus of 324 598 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level principal statistician (1-3 years of experience) earns an average salary of 2 274 689 ₽. On the other end, a senior level principal statistician (8+ years of experience) earns an average salary of 4 147 764 ₽.
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.
3 907 882 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Principal Statistician 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.