Average monthly nominal accrued wages by economic activity, 2010–2022
roubles
Remuneration of employees of organizations in rubles for the period 2010–2022 is presented by various economic sectors. The rows are categorized by economic activity, allowing for comparison of income levels in mining, agriculture, and other sectors with the national average. The data are annual, covering thirteen years and including twenty-one series of data across various fields
Chart of average monthly nominal accrued wages by economic activity from 2010 to 2022, in rubles
- Financial and insurance activities
- Information and communication
- Professional, scientific and technical activities
- Total
- Public administration and defence; compulsory social security
- Construction
- Wholesale and retail trade; repair of motor vehicles and motorcycles
- Education
- Agriculture, forestry, hunting, fishing and aquaculture
- Accommodation and food service activities
Set in numbers
21 series are published here in roubles, from 2010 to 2022, 4 reporting periods. 84 values in total.
“Total” multiplied by 3.1 between 2010 and 2022: from 20,952 to 65,338.
All table numbers are series: 21
How to read this table
Income can be compared by selecting a specific industry and comparing it to the total row for all organizations. The list highlights sectors such as agriculture, forestry, hunting, fishing and fish farming, as well as mining. This helps to understand which economic segments traditionally have higher wages and which lag behind the national average
What is visible in these numbers
“Financial and insurance activities” leads the table with 146,637 roubles, “Accommodation and food service activities” closes it with 37,572 roubles. The gap between them is 3.9-fold.
More in the section Trade»
Period and application
The statistics are compiled based on organizational reporting and published by Rosstat. The information for 2010–2022 is relevant for analyzing income dynamics by employment sector. The materials are useful for economists, labor market researchers, and anyone studying the structure of income by industry
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