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Official Rosstat statistics turned into charts instead of CSV and XLSX

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Main performance indicators of manufacturing organizations, 2020–2024

· dynamics annual · rows: 5 · periods: 5 · section: Industrial production (в России. 2025)

Shipment volume, production rates, and number of employees—these three parameters characterize the performance of manufacturing enterprises from 2020 to 2024. The rows present various metrics: output volume in physical or value terms, the index as a percentage of the previous year, and the number of employees in thousands of people. The data are annual and cover all manufacturing organizations in the country

Chart of key performance indicators for manufacturing organizations from 2020 to 2024

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how it will look

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Set in numbers

The table holds 5 series, running from 2020 to 2024, 5 reporting periods. 25 values in total.

Between 2020 and 2024 “Volume of shipped goods of own production, performed works and services by own forces, billion rubles” rose from 50,018 to 87,323 — 74.6%.

All table numbers are series: 5

How to read this table

Rows cannot be compared directly due to different units of measurement, but they allow for tracking the interrelation of processes. For example, the growth in the volume of shipments of own-produced goods can be compared with changes in the number of employees or production rates. Shipment volume over this period changed from 50018 to 87323, showing the scale of enterprise operations over a five-year period

What is visible in these numbers

The largest value belongs to “Сальдированный финансовый результат (прибыль (убыток) до налогообложения)1), млн руб.” — 8.97 million; the smallest is “Рентабельность проданных товаров, продукции (работ, услуг)1), процентов” at 13.9. The gap between them is 645,014-fold.

The same indicator for other periods

More in the section Industrial production»

Period and application

Statistics are collected for all manufacturing organizations in Russia. Information is updated annually based on enterprise reporting. This data is useful for economists and analysts to assess labor resources and output volumes in the industrial sector

1) По данным бухгалтерской (финансовой) отчетности организаций без субъектов малого предпринимательства