Average wages by occupation, sex and education level
These data for October 2021 allow for assessing the gender pay gap and the impact of education on earnings. Rows categorize employees, including managers, and provide separate breakdowns for men and women. Columns compare total employee income with wages by education level, ranging from higher education to those without basic general education. The figures are based on a sample survey and exclude small businesses
Chart of average wages by occupation, gender, and education for October 2021, in rubles
Set in numbers
Rosstat data. Rows: 27, indicators: 6. The breakdown is by positions: Managers; men; women; Professionals; men and others
Highest values: Managers (120 140), Technicians and associate professionals (88 265), Professionals (67 017). The top three account for 41.9% of the total for all positions
All table numbers are series: 27
| Series | Все работники | из них имеют образование — высшее | из них имеют образование — среднее профессиональное | из них имеют образование — среднее общее | из них имеют образование — основное общее | из них имеют образование — не имеют основного общего |
|---|---|---|---|---|---|---|
| Руководители | 112 269,00 | 120 140,00 | 66 224,00 | 70 718,00 | 70 752,00 | 112 378,00 |
| мужчины | 133 082,00 | 139 717,00 | 83 382,00 | 85 280,00 | 82 569,00 | 156 624,00 |
| женщины | 90 580,00 | 98 316,00 | 54 193,00 | 61 121,00 | 56 769,00 | 67 033,00 |
| Специалисты высшего уровня квалификации | 63 573,00 | 67 017,00 | 46 592,00 | 59 228,00 | 50 042,00 | 54 396,00 |
| мужчины | 81 427,00 | 85 190,00 | 60 418,00 | 69 221,00 | 54 384,00 | 71 238,00 |
| женщины | 55 760,00 | 58 783,00 | 42 145,00 | 50 489,00 | 45 929,00 | 46 328,00 |
| Специалисты среднего уровня квалификации | 53 596,00 | 68 414,00 | 47 649,00 | 49 775,00 | 41 868,00 | 88 265,00 |
| мужчины | 73 898,00 | 82 955,00 | 64 510,00 | 64 787,00 | 51 022,00 | 157 432,00 |
| женщины | 44 259,00 | 50 918,00 | 43 231,00 | 40 595,00 | 35 712,00 | 39 656,00 |
| Служащие, занятые подготовкой и оформлением документации, учетом и обслуживанием | 37 276,00 | 41 713,00 | 35 176,00 | 32 680,00 | 36 331,00 | 37 709,00 |
| мужчины | 48 863,00 | 53 887,00 | 48 572,00 | 41 568,00 | 48 227,00 | 42 690,00 |
| женщины | 34 978,00 | 39 513,00 | 32 655,00 | 30 876,00 | 32 545,00 | 34 920,00 |
| Работники сферы обслуживания и торговли, охраны граждан и собственности | 35 399,00 | 45 969,00 | 32 303,00 | 35 448,00 | 35 809,00 | 39 319,00 |
| мужчины | 45 958,00 | 57 121,00 | 44 865,00 | 41 480,00 | 42 814,00 | 44 476,00 |
| женщины | 31 913,00 | 39 044,00 | 29 102,00 | 33 403,00 | 33 328,00 | 36 894,00 |
| Квалифицированные работники сельского и лесного хозяйства, рыбоводства и рыболовства | 37 134,00 | 36 080,00 | 37 152,00 | 36 324,00 | 38 377,00 | 38 878,00 |
| мужчины | 36 081,00 | 34 945,00 | 35 155,00 | 35 474,00 | 38 038,00 | 38 803,00 |
| женщины | 38 102,00 | 38 061,00 | 39 016,00 | 37 045,00 | 38 657,00 | 38 958,00 |
| Квалифицированные рабочие промышленности, троительства, транспорта и рабочие родственных занятий | 51 733,00 | 55 606,00 | 51 897,00 | 50 411,00 | 49 543,00 | 53 523,00 |
| мужчины | 53 600,00 | 57 825,00 | 53 817,00 | 52 175,00 | 51 189,00 | 54 843,00 |
| женщины | 40 884,00 | 42 932,00 | 40 429,00 | 40 643,00 | 40 640,00 | 43 380,00 |
| Операторы производственных установок и машин, сборщики и водители | 52 965,00 | 59 811,00 | 52 375,00 | 52 317,00 | 51 113,00 | 53 624,00 |
| мужчины | 56 150,00 | 64 352,00 | 55 881,00 | 55 136,00 | 53 769,00 | 55 808,00 |
| женщины | 39 356,00 | 44 143,00 | 38 789,00 | 38 817,00 | 37 795,00 | 40 767,00 |
| Неквалифицированные рабочие | 28 664,00 | 31 353,00 | 27 749,00 | 28 703,00 | 28 167,00 | 32 223,00 |
| мужчины | 31 960,00 | 33 793,00 | 30 532,00 | 31 853,00 | 31 740,00 | 38 104,00 |
| женщины | 26 442,00 | 29 081,00 | 26 003,00 | 26 747,00 | 25 507,00 | 27 044,00 |
How to read this table
Table rows are divided into three main groups—managers, men, and women—to facilitate analysis of gender and status-based pay aspects. Columns are structured by education level to allow for easy comparison of average wages by qualification. Comparing these categories illustrates how personnel training levels influence accrued wages within specific occupational groups
What is visible in these numbers
Indicator set: All employees; of which have education — higher; of which have education — secondary vocational; of which have education — secondary general; of which have education — basic general; of which have education — do not have basic general
There are 150 values in the table out of 150 possible, which is 100% — there are practically no missing values
More in the section Labour and employment»
Period and application
The data is current as of October 2021 and is presented in rubles. Based on a sample survey of organizations and excluding small businesses, these figures are useful for HR specialists, economists, and labor market researchers analyzing population income structures
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