The number of employed persons aged 14 and over is presented in this dataset to assess working conditions. The indicator is measured in units and reflects the situation regarding the provision of meals at workplaces. Data is included for the Russian Federation as a whole and separately for territories within the Arctic Zone. These figures help to understand the coverage of working citizens by corporate catering systems and to identify regional characteristics of employee welfare organization at enterprises in the harsh climatic conditions of the northern regions
Distribution of employed men aged 14 and over by workplace meal provision in the Russian Federation and the Arctic Zone
27 series in УЧЕБЫ, arranged across 2 breakdowns rather than over time. 54 values in total.
The largest value belongs to “Men aged 14 and over, employed in the economy or studying in educational institutions – total” — 100 УЧЕБЫ; the smallest is “Men aged 14 and over, employed in the economy or studying in educational institutions, not using cafeteria/canteen because — on a diet (special nutrition regime)” at 0 УЧЕБЫ.
Rows group the employed population by demographic and territorial characteristics, allowing for the comparison of indicators between different subjects and federal districts. When analyzing, attention should be paid to the difference between nationwide data and values for the Arctic Zone. A comparison of these figures demonstrates the specifics of meal provision in the northern regions of the country. Please note that the values for the category of men aged 14 and over employed in the economy are 100 for the Russian Federation and 100 for those residing in the Arctic Zone
This dataset is relevant for labor economics experts, social policy specialists, and researchers of the northern regions. The material has no time periods and is presented as a single reporting dataset. The information is useful for assessing the socio-economic status of working citizens and developing support programs for the employed population. Using this data helps to justify the need for developing catering infrastructure at industrial facilities located in the Arctic Zone, based on the volumes and distribution structure recorded in the statistics
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