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Average monthly nominal accrued wages by economic activity, 2017–2025

roubles

· dynamics annual · rows: 105 · periods: 9 · section: Labour market, employment and wages

Data on average monthly wages in various industries are provided for nine years: from agriculture and industry to trade and services. The table contains 105 rows, each corresponding to a specific economic activity. All values are in rubles and cover accrued wages for organizations excluding small businesses. The indicator allows for assessing the wage gap between different economic sectors from 2017 to 2025

shown 25 largest of 105

Chart of average monthly nominal accrued wages by economic activity from 2017 to 2025, rubles

0 50,000 100,000 150,000 200,000 250,000 2017 2018 2019 2020 2021 2022 2023 2024 2025
how it will look

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Set in numbers

Rosstat data for 2017–2025. Rows: 105, periods: 9. Unit of measurement — roubles. Breakdown: Total; agriculture, forestry, hunting, fishing and fish farming; agriculture, forestry, hunting, fishing and fish farming…; agriculture, forestry, hunting, fishing and fish farming…; agriculture, forestry, hunting, fishing and fish farming… and others

manufacturing — manufacture of tobacco products: the indicator increased from 98,288 to 238,188 for 2017–2025 — by 2.42 times. The highest value — 238,188 (2025), the lowest — 98,288 (2017). This is an average annual growth of 11.7%. Up to 2021 the change was +25.7%, after — +92.8%. Of the 25 largest rows, 25 increased, 0 decreased

All table numbers are series: 105
Series 201720182019202020212022202320242025
деятельность в области культуры, спорта, организации досуга и развлечений — деятельность творческая, деятельность в области искусства и организации развлечений 36 685,63 42 968,41 45 984,90 46 663,40 50 446,00 55 523,90 62 757,90 73 088,90 83 244,60
деятельность в области культуры, спорта, организации досуга и развлечений — деятельность библиотек, архивов, музеев и прочих объектов культуры 32 360,37 38 327,85 41 499,20 43 181,00 46 362,20 52 151,90 58 833,70 68 207,00 77 907,90
деятельность в области культуры, спорта, организации досуга и развлечений — деятельность по организации и проведению азартных игр и заключению пари, по организации и проведению лотерей 39 284,79 42 741,32 51 115,90 66 985,20 84 486,10 92 261,50 94 149,80 126 023,70 147 542,90
деятельность в области культуры, спорта, организации досуга и развлечений — деятельность в области спорта, отдыха и развлечений 54 213,30 58 992,15 59 303,10 60 069,70 66 099,30 69 313,20 84 285,20 106 075,10 118 953,70
деятельность в области культуры, спорта, организации досуга и развлечений — предоставление прочих видов услуг 43 165,11 45 335,89 48 950,40 57 123,60 69 349,40 73 576,00 79 969,80 105 932,30 111 560,00

How to read this table

Table rows are categorized by economic activity, allowing for comparison of pay levels across different industries. For example, the difference between agriculture and financial activity is immediately apparent. Data are in rubles and presented for each year from 2017 to 2025, enabling the tracking of trends for each activity separately. The 'Total' row demonstrates the average wage level for the country as a whole in comparable monetary units for all specified periods

What is visible in these numbers

Five highest values: manufacturing — manufacture of tobacco products (238,188), agriculture, forestry, hunting, fishing and fish farming (219,593), agriculture, forestry, hunting, fishing and fish farming (218,660), agriculture, forestry, hunting, fishing and fish farming (175,246), agriculture, forestry, hunting, fishing and fish farming (172,378). The top five account for 32.8% of the total sum across all items

Observations are annual and cover 9 periods. Cells with numbers: 225 out of 225 (100%); data gaps are virtually absent

More in the section Labour market, employment and wages»

Period and application

Labor market analysts will find detailed information on income dynamics across various industries for the period 2017–2025. Recent Rosstat data are updated as reporting is finalized, assisting company executives, economists, and HR managers in planning personnel policies based on official accrued wage indicators. The information is useful for an in-depth study of compensation structures by economic activity, ranging from agriculture to high-tech sectors

How it is calculated

Rosstat notes: Excluding statistical information for the Donetsk People’s Republic (DPR), Luhansk People’s Republic (LPR), Zaporozhye and Kherson regions

1) Без учета статистической информации по Донецкой Народной Республике (ДНР), Луганской Народной Республике (ЛНР), Запорожской и Херсонской областям.