Gross milk yield: sheep and goat milk by region
270 and 34826.65 are the total milk yield figures for the Russian Federation for 2021 and 2022. The information is presented as a cross-section for two periods, with table rows broken down by territory: from the national total to data for federal districts and the Kursk region. This structure allows for comparing milk production volumes across different regions and observing changes over one year, based on official Rosstat data
Chart of total milk yield in Russia and its regions for 2021 and 2022
Set in numbers
23 series are published here, from 2021 to 2022, 2 reporting periods. 41 values in total.
Between 2021 and 2022 “Russian Federation — sheep milk” declined from 270 to 230 — 14.8%.
All table numbers are series: 23
How to read this table
Comparison of indicators between constituent entities and federal districts is facilitated by 22 rows, each assigned to a specific territory. You can compare data for the Kursk region with national values or assess the difference in yields between neighboring districts. The columns clearly distinguish between 2021 and 2022, making the analysis of milk production trends by specific locations quick and visual without the need for complex calculations
What is visible in these numbers
The largest value belongs to “Russian Federation — goat milk” — 34,827; the smallest is “Moscow — Goat milk” at 0.09. The gap between them is 386,963-fold.
The table is 89% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.
The same indicator in other breakdowns (1)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
The data update covers a two-year period, providing an opportunity to assess the current situation in agriculture. This information is useful for agricultural sector analysts, food security specialists, and anyone studying dairy farming productivity across different parts of the country. All calculations are provided in accordance with Rosstat methodologies, ensuring the reliability of the information for further work with regional statistics
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