Roschart — Russian statistics in charts

Official Rosstat statistics turned into charts instead of CSV and XLSX

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Volume of retail sales of fish and seafood

· dynamics annual · rows: 5 · periods: 5 · section: Russian Statistical Yearbook (2025)

Fish and seafood products generate significant retail revenue; these statistics for the period 2000–2024 track market scale. Rows are categorized by total sales volume in millions of rubles, annual growth rates in constant prices, and a separate indicator for canned fish. The data covers a twenty-four-year period, illustrating demand structure

Chart of retail sales volume of fish and seafood in Russia, 2000–2024, million rubles

0 200,000 400,000 600,000 800,000 1m 2000 2010 2022 2023 2024
how it will look

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Set in numbers

5 series are published here, from 2000 to 2024, 5 reporting periods. 25 values in total.

“million rubles — value” multiplied by 16.2 between 2000 and 2024: from 61,107 to 987,740.

All table numbers are series: 5

How to read this table

The row breakdown enables comprehensive market analysis via total revenue in millions of rubles and year-on-year percentage changes. A separate row highlights the canned segment to show the share of processed products in total sales. Comparing these series helps assess changes in consumer behavior and retail fish consumption volumes

What is visible in these numbers

The largest value belongs to “million rubles — value” — 987,740; the smallest is “Fish and seafood canned goods: — Share of fish, crustaceans and molluscs in retail trade turnover of food products, including beverages, and tobacco products (in current prices), percent — value” at 3.7. The gap between them is 266,957-fold.

The same indicator for other periods

More in the section Russian Statistical Yearbook»

Period and application

This yearbook data is relevant for assessing the Russian fish market over the last two decades. Information is presented in millions of rubles and percentages, facilitating financial analysis and procurement planning. Rosstat statistics cover 2000–2024 and are suitable for monitoring retail turnover