Pome fruit harvest indicators for 2022 and 2023 allow for an assessment of horticulture efficiency across different parts of the country. The list contains 89 rows, with data distributed by constituent entities and federal districts, including totals for the Russian Federation. Comparing these values helps identify regions with higher or lower yields, regardless of specific farm types
Chart of pome fruit crop yields by Russian regions for 2022 and 2023
Rosstat data for 2022–2023. Series: 354, period: 2. Breakdown by items: Russian Federation — All categories of farms; Central Federal District — All categories of farms; Belgorod Oblast — All categories of farms; Bryansk Oblast — All categories of farms; Vladimir Oblast — All categories of farms and others
Tver Oblast — All categories of farms: the indicator increased from 53.8 to 244.2 for 2022–2023 — by a factor of 4.54. Of the 25 largest series, 15 increased and 10 decreased
Table rows are categorized by territory, allowing for a comparison between individual regions and entire federal districts. The difference between the national average yield and the results of specific regions, such as Belgorod Oblast or the Central Federal District, can be observed. This enables an assessment of orchard productivity based on geographic location
What is visible in these numbers
Five largest values: Tver Oblast — All categories of farms (244.2), Kursk Oblast — All categories of farms (213.7), Lipetsk Oblast — All categories of farms (195.5), Russian Federation — All categories of farms (190.5), Belgorod Oblast — All categories of farms (174.8). The top five account for 32.3% of the total sum across all items
Observations are annual and cover 2 periods. Cells with numbers: 50 out of 50 (100%) — missing values are virtually absent
The data covers 2022 and 2023 and reflects the state of the pome fruit sector in agriculture. Information from Rosstat bulletins is useful for agronomists, horticulture investors, and agricultural supply planning specialists. The data allows for a rapid analysis of seasonal yield fluctuations by territory
How it is calculated
Data on sown areas, yield and livestock are used in planning raw material procurement, crop assessment and forecasting food prices
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