Roschart — Russian statistics in charts

Official Rosstat statistics turned into charts instead of CSV and XLSX

RU

Producer price indices for agricultural products in Russia, 2010–2025

· dynamics annual · rows: 13 · periods: 16 · section: Prices, inflation

The presented indices track changes in the selling prices of agricultural organizations in Russia from 2010 to 2025. Data in the rows are broken down by month: January, February, and March, allowing for the observation of seasonal dynamics within each year. The indicator reflects the relative change in producer prices for products sold by industry enterprises across the entire country

Chart of monthly producer price indices for agricultural products from 2010 to 2025

90 100 110 120 130 2010 2012 2014 2016 2018 2020 2022 2024
how it will look

See also

Set in numbers

Rosstat data for 2010–2025. Series: 13, periods: 16. Table rows: January; February; March; April; May; and others

December as a percentage of December of the previous year: the indicator fell from 123.6 to 97.6 over 2010–2025 — by 21%. The highest value was 123.6 (2010), the lowest was 92.2 (2017). This averages to a 1.56% annual decline. Up to 2018 the change was −8.66%, after — −13.6%. Of the 13 largest series, 5 increased and 8 decreased

All table numbers are series: 13
Series 2010201120122013201420152016201720182019202020212022202320242025
Январь 100,80 102,90 100,70 100,60 99,50 102,50 99,90 100,00 99,20 100,20 99,50 101,80 100,40 100,10 99,50 101,48
Февраль 101,80 101,90 101,00 100,50 101,20 102,30 100,30 99,80 99,90 99,90 100,20 102,60 100,60 100,20 100,90 101,29
Март 101,60 101,30 100,90 98,70 101,20 100,50 100,00 99,50 99,20 99,60 100,10 101,70 101,50 99,80 99,20 99,94
Апрель 99,60 100,80 99,90 100,50 101,70 100,20 100,00 99,90 100,70 100,30 101,60 101,70 102,10 100,10 99,50 99,87
Май 98,10 97,20 97,20 98,10 100,00 98,40 97,70 97,50 99,40 99,00 99,40 100,10 98,90 97,60 98,30 98,80
Июнь 97,90 97,30 98,20 97,70 100,50 97,80 98,90 98,00 100,20 98,10 99,70 99,10 98,20 99,30 99,40 99,34
Июль 99,40 98,00 99,70 99,70 100,90 99,20 100,30 98,80 100,70 99,80 101,00 99,20 98,80 100,30 98,80 99,64
Август 102,90 98,50 101,90 100,20 99,80 100,10 99,80 99,20 100,90 99,90 100,50 100,00 98,80 102,10 100,60 100,28
Сентябрь 106,30 98,40 103,40 101,50 101,50 101,30 101,00 99,60 103,60 98,80 100,50 101,80 99,10 102,10 101,80 99,62
Октябрь 106,20 98,60 103,70 102,50 101,80 102,30 101,60 99,70 102,30 99,50 103,00 103,40 98,90 103,40 100,70 99,09
Ноябрь 103,60 99,70 102,10 101,90 101,50 102,10 100,70 100,00 103,00 100,30 103,10 101,30 99,30 102,20 103,60 99,70
Декабрь 103,80 100,50 101,90 100,90 103,80 101,40 101,60 100,10 103,10 100,00 103,80 100,30 99,40 101,70 103,80 98,56
Декабрь в % к декабрю предыдущего года 123,60 94,90 110,80 102,70 114,10 108,50 101,80 92,20 112,90 95,50 113,10 113,60 95,90 109,10 105,90 97,59

How to read this table

Monthly values in the rows allow for price comparisons at the start of each year; for example, the January index changed from 100.8 in 2010 to 101.48 in 2025. Comparing these series helps to assess the stability of price conditions in the agricultural sector over different periods. The rows do not represent different product types but record price changes for specific calendar months

What is visible in these numbers

Highest values: December as a percentage of December of the previous year (123.6), September (106.3), October (106.2). The top three account for 24.8% of the total across all items

Observations are annual, with 16 observation periods in the dataset. The table contains 208 values out of 208 possible, i.e. 100%; data gaps are virtually absent

More in the section Prices, inflation»

Period and application

Statistical data for the period from 2010 to 2025 are regularly updated and published in the public domain. This information on producer price indices is useful for economists, large agricultural holdings, and market analysts to assess inflationary processes in the country's agro-industrial sector

How it is calculated

Price series are used for indexing contracts and tariffs, converting revenue into comparable prices, and assessing inflation expectations

Source caveats: 1 Excluding statistical information for the Donetsk People’s Republic, Luhansk People’s Republic, Zaporizhzhia and Kherson regions

1 Без учета статистической информации по Донецкой Народной Республике, Луганской Народной Республике, Запорожской и Херсонской областям.