The amount of wage arrears in organizations is recorded at year-end for the period from 2019 to 2023. The list contains forty rows, each representing a specific economic activity, allowing for a comparison of debt levels across different industries. Amounts are in millions of rubles; data are annual and cover all organizations subject to statistical observation
Overdue wage arrears of employees of organizations due to lack of own funds and untimely receipt of funds from budgets of all levels — manufacturing
Manufacturing — construction
manufacturing — manufacture of machinery and equipment not elsewhere classified
manufacturing — transport
Overdue wage arrears of employees of organizations due to lack of own funds and untimely receipt of funds from budgets of all levels — mining and quarrying
manufacturing — manufacture of basic pharmaceutical products and pharmaceutical preparations
Rosstat data for 2019–2023. Rows: 40, periods: 5. Measurement unit — at year-end; million roubles. Shown by items: Overdue wage arrears to employees of…; Overdue wage arrears to employees of…; Overdue wage arrears to employees of…; Overdue wage arrears to employees of…; Overdue wage arrears to employees of… and others
Overdue wage arrears to employees of organisations…: the indicator fell from 2,114 to 347 over 2019–2023 — by a factor of 6.09. The highest value was 2,114 (2019), the lowest was 347 (2023). This is an average annual decrease of 36.4%. Of the 25 largest rows, 2 increased and 23 decreased
Rows are categorized by industry, making it easy to track which economic sectors have experienced more persistent or higher levels of wage arrears. Comparing annual figures reveals trends in debt accumulation within specific economic activities. All values are in millions of rubles as of the end of the reporting period
What is visible in these numbers
The five largest values: Overdue wage arrears to employees of… (2,114), Overdue wage arrears to employees of… (1,139), manufacturing — construction (379.3), manufacturing — production of… (246.5), manufacturing — transport (230). The gap between the highest and lowest is 182.3 times. The top five account for 76% of the total across all items — the distribution is heavily skewed toward the top
Observations are annual, with 5 periods in the dataset. Of 125 possible values, 125 (100%) are filled — missing values are virtually absent
More in the section Social status and standard of living of the population»
The statistics cover a five-year period from 2019 to 2023 and are updated annually. This information helps assess the financial stability of various economic sectors and the level of social protection for employees. The data is useful for labor market analysis and monitoring employer compliance
How it is calculated
Table notes: Excluding small business entities
1) Без субъектов малого предпринимательства.
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