Average monthly nominal accrued wages by 10-percent groups of employees in organizations
Intra-industry income gaps can be assessed using average wages of 10% worker groups in 2025. Columns show amounts for the bottom 10% and top 10% of employees, as well as their ratio. Rows are categorized by economic activity, from agriculture to mining, illustrating varying degrees of inequality across different economic sectors
Table of average wages by 10% worker groups by economic activity, 2025
See also
- Сколько студентов в России: статистика по годам indicator breakdown
Set in numbers
Rosstat data. Rows: 45, indicators: 3. Table rows: Total; Agriculture, forestry, hunting, fishing and fish farming; Mining and quarrying; Manufacturing; manufacture of food products and others
The five largest values: manufacture of tobacco products (593 438), manufacture of coke and refined petroleum products (547 015), manufacture of basic pharmaceutical products and pharmaceutical preparations (426 045), manufacture of computer, electronic and optical products (393 319), Mining and quarrying (369 138). The top five account for 30.9% of the total for all items
All table numbers are series: 45
How to read this table
Inter-industry comparison is facilitated by presenting data as specific monetary amounts and a gap ratio. The total row for all economic activities allows for comparing individual sector indicators with the national average. Small businesses are excluded from the calculations, so the data reflects the situation in large and medium-sized enterprises
What is visible in these numbers
Indicators in the set: Average wage of the 10% of employees with the lowest wages; Average wage of the 10% of employees with the highest wages; Ratio of the average wage of the 10% of employees with the highest wages to the 10% of employees with the lowest wages
There are 75 values in the table out of 75 possible, which is 100% — there are practically no missing values
More in the section Labour and employment»
Period and application
Results are based on a sample survey for April 2025. The information is relevant for analyzing income distribution structures and assessing social inequality across different professional environments
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