Average monthly nominal accrued wages of women and men by occupation groups
Income gaps and gender composition across various occupations are reflected in the October 2023 statistics. The 43 rows provide data on different categories of employed persons, from managers to science and engineering specialists. In addition to total accrued wages in rubles (excluding one-time payments), the share of women in the total number of employees for each group is provided. This shows which industries remain predominantly male or female and how this relates to wage levels
Chart of average wages of women and men by occupation group in 2023, rubles and share of women
Set in numbers
Rosstat data. Rows: 43, indicators: 3. Shown by positions: Managers; Highly qualified specialists; Science and technology specialists; Healthcare specialists; Education specialists and others
Five largest values: Information and communication specialists... (123 814), Managers (111 513), Healthcare specialists (89 710), Science and technology specialists (79 925), Business and administration specialists... (77 722). The top five account for 31.7% of the total across all positions
All table numbers are series: 43
How to read this table
The rows are classified by occupation, allowing for a comparison of income levels among managers, specialists of various levels, and workers in other fields. The gender comparison in the columns helps assess the gender balance in specific specialties. Indicators include average wages excluding one-time bonuses and the percentage of women in the workforce of each group. The data covers organizations, excluding small businesses
What is visible in these numbers
Set of indicators: Average nominal wages (excluding one-time payments), rub.; Ratio of women's wages to men's wages, %; Share of women in the total number of employees, %
Cells with numbers: 73 out of 75 (97.3%). Individual gaps occur: not all positions were observed in all periods
More in the section Women and men»
Period and application
The October 2023 statistics are based on the results of a sample survey of organizations. This information may be useful for labor market analysis, studying gender income inequality, and conducting detailed assessments of workforce composition by professional group in large companies
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