Pupils per teacher by programme
persons
Teaching staff workload in various types of vocational education is reflected in the number of students per teacher. Rows distinguish between training programs for skilled workers, employees, and mid-level specialists, allowing for a comparison of educational density. Data covers academic years from 2018/2019 to 2022/2023, with the indicator expressed in persons
Number of students per teacher or instructor by program, 2018/2019 to 2022/2023 academic year, persons
Set in numbers
This is a cross-section: 4 series in persons across 5 breakdowns. 20 values in total.
The largest value belongs to “подготовки квалифицированных рабочих, служащих” — 26 persons; the smallest is “Приходится обучающихся на одного учителя, осуществляющего деятельность по образовательным программам начального, основного и среднего общего образования” at 16 persons.
All table numbers are series: 4
| Series | 2018/2019 | 2019/2020 | 2020/2021 | 2021/2022 | 2022/2023 |
|---|---|---|---|---|---|
| Приходится обучающихся на одного учителя, осуществляющего деятельность по образовательным программам начального, основного и среднего общего образования | 15,00 | 15,00 | 16,00 | 16,00 | 16,00 |
| подготовки квалифицированных рабочих, служащих | 25,00 | 25,00 | 28,00 | 27,00 | 26,00 |
| подготовки специалистов среднего звена | 24,00 | 24,00 | 25,00 | 26,00 | 26,00 |
| бакалавриата, специалитета, магистратуры | 18,00 | 18,00 | 18,00 | 19,00 | 19,00 |
How to read this table
Differences between rows show variations in staff-to-student ratios across different levels of education. Comparing indicators for training workers and mid-level specialists allows for assessing which sectors have higher teaching loads. This helps in understanding resource distribution between training personnel of different qualifications within the secondary vocational education system
More in the section Social status and standard of living of the population»
Period and application
Statistics are published within the section on social status and living standards. Data for the last five academic years are presented in columns, while rows group data by training areas. This information is suitable for monitoring the human resource potential of the educational environment
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