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Average wages by categories of personnel and types of economic activity

· snapshot · rows: 17 · periods: 4 · section: Labour and employment (в России. 2023)

In October 2021, average public sector salaries were distributed by personnel category and economic sector. Rows show specific types of economic activity, such as mining and agriculture, while columns categorize employees from managers to workers. Values are in rubles and are based on a sample survey excluding small businesses

Chart of average salary in state and municipal organizations by personnel category and economic activity in October 2021, rubles

Mining and quarrying 161,961 Professional… technical activitiesProfessional, scientific and technical activities 108,954 Manufacturing industries 99,753 Information and communication 97,099 Construction 90,200 Human health and social work activities 88,926 Real estate activities 85,963 Supply of electric… air conditioningSupply of electricity, gas and steam; air conditioning 79,865 Transportation and storage 79,004 Total for surveyed… of economic activityTotal for surveyed types of economic activity 78,083 Water supply… remediation activitiesWater supply; sewerage, waste collection and disposal activities; remediation activities 78,041 Wholesale and… and motorcyclesWholesale and retail trade; repair of motor vehicles and motorcycles 76,526 Administrative… service activitiesAdministrative and support service activities 68,114 Education 66,936 Arts, entertainment and recreation 61,452 Agriculture… and aquacultureAgriculture, forestry, hunting, fishing and aquaculture 60,335 Accommodation and food service activities 57,229
how it will look

Set in numbers

17 series, arranged across 4 breakdowns rather than over time. 68 values in total.

The largest value belongs to “Construction” — 52,246; the smallest is “Education” at 21,520.

All table numbers are series: 17
Series РуководителиСпециалистыДругие служащиеРабочие
Всего по обследованным видам экономической деятельности 78 083,00 50 673,00 30 250,00 31 321,00
Сельское, лесное хозяйство, охота, рыболовство и рыбоводство 60 335,00 38 666,00 36 895,00 32 044,00
Добыча полезных ископаемых 161 961,00 73 299,00 56 002,00 41 585,00
Обрабатывающие производства 99 753,00 63 848,00 38 646,00 48 297,00
Обеспечение электрической энергией, газом и паром; кондиционирование воздуха 79 865,00 57 010,00 30 834,00 34 546,00
Водоснабжение; водоотведение, организация сбора и утилизации отходов, деятельность по ликвидации загрязнений 78 041,00 54 239,00 27 307,00 36 071,00
Строительство 90 200,00 69 524,00 39 886,00 52 246,00
Торговля оптовая и розничная; ремонт автотранспортных средств и мотоциклов 76 526,00 48 653,00 37 632,00 35 326,00
Транспортировка и хранение 79 004,00 65 479,00 35 603,00 44 867,00
Деятельность гостиниц и предприятий общественного питания 57 229,00 41 212,00 32 963,00 29 267,00
Деятельность в области информации и связи 97 099,00 57 691,00 43 038,00 39 060,00
Деятельность по операциям с недвижимым имуществом 85 963,00 49 641,00 36 883,00 36 306,00
Деятельность профессиональная, научная и техническая 108 954,00 66 070,00 43 299,00 37 826,00
Деятельность административная и сопутствующие дополнительные услуги 68 114,00 47 646,00 27 770,00 40 318,00
Образование 66 936,00 46 514,00 24 545,00 21 520,00
Деятельность в области здравоохранения и социальных услуг 88 926,00 53 734,00 35 598,00 28 096,00
Деятельность в области культуры, спорта, организации досуга и развлечений 61 452,00 42 246,00 33 743,00 28 496,00

How to read this table

Wage levels for different employee groups can be compared by analyzing columns from managers to workers within a single industry or across different economic sectors. Row variations highlight which public sector industries have higher or lower salaries and how they relate to job status. The dataset contains 17 rows of survey results

More in the section Labour and employment»

Period and application

The data is current for October 2021 and reflects state and municipal organizations. Information is based on sample survey methodology and excludes small enterprises. This data is intended for economists and specialists studying public sector income structures