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Share of crop and livestock production in agricultural output

at actual prices; as a percentage of agricultural output

· dynamics annual · rows: 8 · periods: 6 · section: Bulletins on the state of agriculture (electronic versions)

The share of crop and livestock production shows the percentage of total agricultural output accounted for by each sector. These shares are calculated across all farm categories, from private plots to farm enterprises

Chart showing the distribution of crop and livestock production shares in agriculture by farm category

0 20 40 60 80 100 2015 2016 2017 2018 2019 2020
how it will look

Set in numbers

8 series are published here in at actual prices; as a percentage of agricultural output, from 2015 to 2020, 6 reporting periods. 48 values in total.

Between 2015 and 2020 “Хозяйства всех категорий — растениеводство” rose from 51.9 to 55.8 — 7.5%. The lowest value in the series is 50.9 in 2017.

All table numbers are series: 8

How to read this table

Sectors should be compared with regard to farm category: for example, livestock accounts for a significantly larger share in farms than the average across all farm types. Note the dynamics within each row to identify general trends

What is visible in these numbers

The largest value belongs to “Крестьянские (фермерские) хозяйства, индивидуальные предприниматели — растениеводство” — 82.2 at actual prices; as a percentage of agricultural output; the smallest is “Крестьянские (фермерские) хозяйства, индивидуальные предприниматели — животноводство” at 17.8 at actual prices; as a percentage of agricultural output. The gap between them is 4.6-fold.

The figures are index or percentage values, so they cannot be added up across rows: each one is measured against its own base.

The same indicator for other periods

The same indicator in other breakdowns (1)

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

Period and application

Data covers three years: 2015 to 2017. The dataset is updated annually. This information is useful for agricultural producers to assess production structure, for investors to analyze promising sectors, and for government agencies to develop sectoral programs