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Tobacco yield in agricultural organizations by region

· snapshot · rows: 8 · periods: 7 · section: Bulletins on the state of agriculture (electronic versions)

Tobacco yield in agricultural organizations is broken down by territory. Table rows vary in scale, providing data for the Russian Federation, individual federal districts, and the Voronezh region. The data allows for assessing current production indicators by comparing them with previous periods and accounting for the percentage change in 2024 relative to 2023

Chart of tobacco yield by Russian regions showing the change in 2024

Сельскохозяйс…Сельскохозяйственные организации из них: малые…из них: малые предприятия Хозяйства нас…Хозяйства населения Крестьянские …Крестьянские (фермерские) хозяйства и индивидуальные предприниматели 2024 2023 2024 в % к 20…2024 в % к 2023 Russian Federation Russian Federation / Сельскохозяйственные организации: 11.2 Russian Federation / из них: малые предприятия: 11.2 Russian Federation / Хозяйства населения: 9.32 Russian Federation / 2024: 11.1 Russian Federation / 2023: 18.0 Russian Federation / 2024 в % к 2023: 62.0 Central Federal District Central Federal District / Сельскохозяйственные организации: 11.2 Central Federal District / из них: малые предприятия: 11.2 Central Federal District / Хозяйства населения: 8.00 Central Federal District / 2024: 11.1 Central Federal District / 2023: 8.00 Central Federal District / 2024 в % к 2023: 138.9 Bryansk Region Bryansk Region / Сельскохозяйственные организации: 11.2 Bryansk Region / из них: малые предприятия: 11.2 Bryansk Region / 2024: 11.2 Voronezh Region Voronezh Region / Хозяйства населения: 8.00 Voronezh Region / 2024: 8.00 Voronezh Region / 2023: 8.00 Voronezh Region / 2024 в % к 2023: 100.0 Southern Federal District Southern Federal District / Хозяйства населения: 14.6 Southern Federal District / 2024: 14.6 Southern Federal District / 2023: 14.6 Southern Federal District / 2024 в % к 2023: 100.0 Krasnodar Territory Krasnodar Territory / Хозяйства населения: 14.6 Krasnodar Territory / 2024: 14.6 Krasnodar Territory / 2023: 14.6 Krasnodar Territory / 2024 в % к 2023: 100.0 North Caucasian Federal District North Caucasian Federal District / 2023: 30.0 Republic of Dagestan Republic of Dagestan / 2023: 30.0
how it will look

Set in numbers

8 series, arranged across 7 breakdowns rather than over time. 29 values in total.

The largest value belongs to “Central Federal District” — 139; the smallest is “Bryansk Region” at 11.2. The gap between them is 12.4-fold.

All table numbers are series: 8
Series Сельскохозяйственные организациииз них: малые предприятияХозяйства населенияКрестьянские (фермерские) хозяйства и индивидуальные предприниматели202420232024 в % к 2023
Российская Федерация 11,24 11,24 9,32 — 11,15 17,98 62,01
Центральный федеральный округ 11,24 11,24 8,00 — 11,11 8,00 138,94
Брянская область 11,24 11,24 — — 11,24 — —
Воронежская область — — 8,00 — 8,00 8,00 100,00
Южный федеральный округ — — 14,60 — 14,60 14,60 100,00
Краснодарский край — — 14,60 — 14,60 14,60 100,00
Северо-Кавказский федеральный округ — — — — — 30,00 —
Республика Дагестан — — — — — 30,00 —

How to read this table

The differences between rows allow for comparing the national overview with specific subjects or districts. It shows how agricultural organization indicators for Russia as a whole relate to results in the Voronezh region or the Central Federal District. Columnar comparisons enable assessing the percentage change in harvest volume compared to the previous year

What is visible in these numbers

The table is 52% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.

The same indicator in other breakdowns (3)

More in the section Bulletins on the state of agriculture (electronic versions)»

Period and application

Data is compiled based on agricultural status bulletins. This information is relevant for analyzing crop production efficiency and assessing tobacco production rates in the regions. Rosstat data is suitable for monitoring the agricultural sector and assessing yield dynamics in organizations