Geography of imports of prohibited food products in April
Three hundred twenty-three commodity items and supplying countries reveal the structure of food imports subject to restrictions in January-April 2020. Each row specifies the supply geography, dividing it into non-CIS countries and CIS member states to show each direction's share of the total flow. In addition to country-level detail, the table includes a total figure for all prohibited imports, providing a clear view of the import structure for the period
Distribution of prohibited food imports by supplying country, January-April 2020, in percent
Set in numbers
Rosstat data. Rows: 323, indicators: 3. Breakdown: Total; Countries outside the CIS; CIS member states; Belarus; Total and others
Highest values: Total (100), CIS member states (63.5), Argentina (56). The gap between the highest and lowest is 9.3 times
All table numbers are series: 323
How to read this table
Rows are grouped by country and commodity category, allowing comparison of import volumes from specific partners with the total for all countries. Compare the share of specific countries or groups of countries in the total volume to identify the main suppliers of prohibited products during the reporting period. Each row includes EAEU HS code data and import percentages, helping to identify key geographic directions in the structure of food supplies to Russia
What is visible in these numbers
The set includes indicators: TN VED EAEU; January-April 2020; ______ share, %
Of 75 possible values, 50 (66.7%) are filled. A smaller part of the table is filled, therefore a direct comparison of positions between periods may be misleading
More in the section Indicators characterizing import substitution»
Period and application
The data covers January-April 2020 and provides an accurate picture of import geography as of April 2020. This information is useful for analysts, foreign trade specialists, and those studying trade turnover dynamics under existing food restrictions. Rosstat data updates allow for tracking changes in the geographic structure of imports subject to the sanctions regime, based on official customs statistics
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