In 2026, retail sales of poultry meat are recorded in thousands of rubles and presented as a physical volume index. The table rows cover the entire country, federal districts, and individual constituent entities, allowing for a comparison of Belgorod Oblast figures with national or district values. Data include both actual transaction amounts and the dynamics of changes in constant prices relative to the previous year
Chart of retail sales of poultry meat by Russian region in 2026
Rosstat data. Rows: 96, indicators: 2. Shown by items: Russian Federation; Central Federal District; Belgorod Oblast; Bryansk Oblast; Vladimir Oblast and others
Five largest values: Russian Federation (198.8 million), Central Federal District (64.8 million), Moscow (29 million), Northwestern Federal District (19.6 million), Moscow Oblast (13.1 million). The gap between the largest and smallest is 6 252 times. The top five account for 92.8% of the total for all items — the distribution is heavily skewed toward the top
All table numbers are series: 96
Series
Фактически продано, тыс.рублей
в % к соответствующему периоду предыдущего года (в сопоставимых ценах)
The variations between rows allow for an analysis of market structure, from the scale of the entire Russian Federation to specific regions. One can compare poultry meat sales in the Central Federal District with national totals, accounting for differences in revenue volumes and growth rates. To assess real changes in demand, the physical volume index should be used, as it is adjusted for inflation and reflects the actual quantity of goods sold
What is visible in these numbers
The dataset contains the following indicators: Actually sold, thousand rubles; as a % of the corresponding period of the previous year (in comparable prices)
Out of 50 possible values, 50 are filled (100%), meaning the table is almost entirely complete
Statistics are collected by Rosstat for the analysis of consumer markets and retail turnover. Data on specific regions and districts are relevant for retailers, poultry producers, and economic agencies. Information is updated in accordance with the official publication schedule for retail trade data
How it is calculated
Turnover per capita shows where the buyer is solvent and whether it is worth opening a point of sale, and where the market is already saturated
Notes to the table: Excluding statistical information for the Donetsk People's Republic (DPR), Luhansk People's Republic (LPR), Zaporozhye and Kherson Oblasts
1) Без учета статистической информации по Донецкой Народной Республике (ДНР), Луганской Народной Республике (ЛНР), Запорожской и Херсонской областям.
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