Information on contracts concluded with individuals, 2024 edition
Seven categories of contracts concluded with individuals for federal statistical observations are distributed in this table by survey type. Each row records a specific work area, specifying the survey name and the total number of specialists engaged. These data help assess the scale of external expert involvement in collecting primary information required to generate current official statistics across various sectors
Table with information on contracts with individuals for federal statistical observations
Set in numbers
7 series, arranged across 2 breakdowns rather than over time. 7 values in total.
Only 50% of the cells carry a value — empty cells are missing in the source publication and are not filled in here.
All table numbers are series: 7
| Series | Наименование обследования | Выборочное обследование рабочей силы в 2024 |
|---|---|---|
| строка 1 | — | 15 701 131 540 792 701 091 840,00 |
| Период — Эксперт | — | 2,00 |
| Период — Эксперт | — | 2,00 |
| Период — Эксперт | — | 1,00 |
| Период — Эксперт | — | 1,00 |
| Период — Эксперт | — | 2,00 |
| Период — Эксперт | — | 1,00 |
How to read this table
The survey name and period are the key attributes used to categorize the rows in the table. By comparing these indicators, one can see exactly how many individuals were engaged in specific projects, such as the 2024 Labour Force Survey, which recorded two contracts. This level of detail allows for a comparison of labor inputs and work volumes across different statistical observations conducted as part of Rosstat's current operational planning
The same indicator in other breakdowns (10)
More in the section Information on contracts concluded with individuals»
Period and application
The data cover the 2024 Labour Force Survey and other statistical observations. This information is useful for researchers, fieldwork organizers, and anyone studying the practice of engaging external experts for data collection. The table is updated as new contracts are concluded for federal statistical observations, ensuring the data remains current for monitoring the staffing of statistical processes in the country
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