Total area of gooseberries in households and as a percentage of
Gooseberry crops are distributed nationwide, and this dataset reflects their area by farm type. Table rows cover all levels: from the Russian Federation and federal districts to specific regions, with 91 rows in total. Columns provide data for households and the percentage of 2025 relative to 2024, showing current area levels and their dynamics
Chart of total gooseberry area by region of Russia with household data and percentages of 2024
Set in numbers
Rosstat data. Series: 91, indicators: 5. Breakdown: Russian Federation / 0.06398 / 0.06191; Central Federal District / 0.00553 / 0.00478; Ivanovo Oblast; Moscow Oblast / 0.00082 / ...; Tambov Oblast and others
Five largest values: Far Eastern Federal District (859.1), Northwestern Federal District / 0.0023 / … (161.1), Siberian Federal District / 0.01232 / 0.012… (120.3), Republic of Tatarstan (Tatarstan) / 6e-05 / ... (113), Bryansk Oblast (111.9). The gap between the largest and smallest is 20 times. The top five account for 41.4% of the total for all positions
All table numbers are series: 91
How to read this table
Comparing areas across different constituent entities helps identify the most active cultivation zones. Rows are categorized by territory, allowing for a comparison of production scale between federal districts and individual regions. The total for the Russian Federation serves as a baseline for comparing regional indicators
What is visible in these numbers
What is measured: Household farms; Peasant (farm) holdings and individual entrepreneurs
Cells with numbers 120 out of 125 (96%). Small gaps remain where the position was not observed in all periods
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
This information is relevant for analyzing the current state of agriculture and planning sown areas. Data is updated according to Rosstat bulletins and includes estimated indicators for 2025 relative to the previous period. These data are useful for agronomists, farmers, and crop production monitoring specialists in Russia
How it is calculated
Data on sowing, yields, and livestock are used in planning raw material purchases, assessing harvests, and forecasting food prices
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