Roschart — Russian statistics in charts

Official Rosstat statistics turned into charts instead of CSV and XLSX

RU

Information on contracts concluded with individuals for, 2025 edition

· snapshot · rows: 3 · periods: 2 · section: Information on contracts concluded with individuals

Statistical surveys require the involvement of individuals, and this section provides data on contracts concluded for these purposes. Table rows are categorized by survey type, while columns detail the type of work and the specific period of implementation. The indicator for the 2025 Sample Labour Force Survey is 1.570113154e+22, reflecting the scale of specialist recruitment for data collection under federal programs

Table containing information on contracts with individuals for federal statistical surveys

row 1 15,701,131,540,792.7bn Период — Эксперт 2.00 Период — Эксперт 2.00
how it will look

Set in numbers

3 series, arranged across 2 breakdowns rather than over time. 3 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: 3
Series Наименование обследованияВыборочное обследование рабочей силы в 2025
строка 1 — 15 701 131 540 792 701 091 840,00
Период — Эксперт — 2,00
Период — Эксперт — 2,00

How to read this table

Various contract types and their periods of validity are distributed by rows, allowing for comparison of the volume of individuals engaged depending on the specific research being conducted. Compare indicators by survey name to see how resources are allocated to different stages of statistical work throughout the year. Each row represents a separate category of contracts concluded by Rosstat to ensure the accuracy and regularity of primary data collection

The same indicator in other breakdowns (10)

More in the section Information on contracts concluded with individuals»

Period and application

Current data covers the period of the 2025 Sample Labour Force Survey. Information is updated as new contracts are concluded and survey stages are completed. This data is useful for specialists studying the organization of statistical work, as well as those analyzing expenditure structures and staffing in the public sector for large-scale sociological and economic research