Key results of the insurance sector for 2021 and 2022 are presented by type of insurance. Table rows categorize indicators into voluntary and compulsory insurance, including personal insurance within voluntary programs. Columns provide values for both years, allowing for a comparison of activity volumes over this period
Insurance activity chart: indicators for 2021–2022
Rosstat data for 2021–2022. Series: 93, period: 2. Table rows: Total for voluntary and compulsory insurance — Quantities…; Total for voluntary and compulsory insurance — Insurance…; Total for voluntary and compulsory insurance — Payments…; Total for voluntary and compulsory insurance — voluntary…; Total for voluntary and compulsory insurance — voluntary… and others
Total for voluntary and compulsory insurance — Insurance premiums…: the indicator increased from 1.8 million to 1.8 million for 2021–2022 — by 0.45%. Of the 25 largest rows, 16 increased, 9 decreased
The row structure provides insight into the insurance market, allowing for separate assessment of total volumes across all insurance types and the share of voluntary policies. Comparing 2021 and 2022 data shows how indicators changed during this period. The table contains 31 rows covering various categories of insurance services
What is visible in these numbers
Five largest values: Total for voluntary and compulsory insurance (1.8 million), Total for voluntary and compulsory insurance (1.6 million), voluntary insurance — personal insurance… (987 930), Total for voluntary and compulsory insurance (896 450), Total for voluntary and compulsory insurance (733 489). The gap between the largest and smallest is 205 381 times. The top five account for 67.3% of the total for all items — the distribution is heavily skewed toward the top
Annual observations covering 2 periods. Cells with numbers: 50 out of 50 (100%), meaning the table is almost entirely filled
The data is compiled to analyze the state of the Russian insurance market. Information for 2021 and 2022 helps assess the scale of operations and the distribution between compulsory and voluntary programs. The data is relevant for insurance sector specialists, economists, and those studying the social status of the population
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