Production of food products in physical units
Nine hundred sixty types of food products produced in the country are presented in this table, specifying production volumes in physical terms. Each row contains the name of a specific product and the number of tonnes produced during the reporting period. The total production volume of beef, pork, lamb, and goat meat amounted to 2384564.29 tonnes. The absence of monetary valuation allows for observing the actual scale of production for each product and assessing production capacities across various food industry sectors
Production volumes of key food products in Russia in physical terms
See also
- Electricity consumption in Russia by year long time series by year
Set in numbers
Data of Rosstat. Rows: 960. In breakdown: cattle meat, pork, lamb, goat meat,…; cattle meat (beef and veal) boneless, …; Beef, excluding off‑al, t / 10.11.11.001.AG; Boneless beef, cooled or refrigerated, t / 10.11.11.110; Boneless veal, cooled or refrigerated, t / 10.11.11.120 and others
Five largest values: cattle meat, pork, lamb… (2.4 million), Boneless pork, cooled or refrigerated, t… (2.2 million), Boneless pork, cooled or refrigerated at home… (2.1 million), Food off‑products of cattle, … (269 819), Beef, excluding off‑al, t / 10.11.11.001… (246 748). The gap between the largest and the smallest is 1.2 million times. The top five account for 93.4% of the total sum across all items – the distribution is heavily skewed toward the top
All table numbers are series: 960
What is visible in these numbers
Out of 25 possible values, 25 (100%) are filled – there are practically no gaps
Such rows are needed when you need to understand whether the industry‑client is growing, and to see a decline in advance before it reaches your revenue
The same indicator in other breakdowns (1)
More in the section Industrial production»
Period and application
This Rosstat data set shows the production volumes of 960 types of food products in physical terms. The table is updated as statistics become available, without a fixed frequency. Such data is useful for producers, industry analysts, statistical agencies, and anyone assessing production capacities and market structure
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