Industrial producer price indices by year

checked 22.10.2026 · dynamics annual · rows: 13 · periods: 19 · section: Prices, inflation

Changes in domestic industrial product prices for the period 1998–2016 are reflected in index dynamics. The list provides data for January, February, and March, allowing for the tracking of seasonal fluctuations in product costs at the beginning of each year. The indicator is calculated based on the OKVED-2007 classifier and covers goods intended exclusively for sale on the domestic market of the Russian Federation

December in % to December of the previous year
September
January
July
February
November
August
June
April
December

how it will look

Set in numbers

Rosstat data for 1998–2016. Rows: 13, periods: 19. Breakdown by positions: January; February; March; April; May; and others

December as a percentage of December of the previous year: the indicator fell from 119.4 to 107.4 over 1998–2016 — by 10.1%. The highest value was 170.7 (1999), the lowest was 93 (2008). This averages to a 0.59% annual decline. Up to 2007, the change was +4.77%, after — −14.1%. Of the 13 largest rows, 6 increased and 7 decreased

All table numbers are series: 13

Series	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016
Январь	100,80	107,20	104,30	101,30	100,20	100,50	104,00	100,50	100,50	101,90	101,60	96,60	98,90	102,20	99,80	99,60	100,40	101,30	98,60
Февраль	100,70	105,30	103,10	101,10	99,50	101,60	103,40	101,30	103,30	99,90	100,70	105,10	102,00	103,40	101,10	100,80	99,60	102,10	98,40
Март	99,40	104,10	102,20	100,70	100,00	101,40	101,30	102,50	102,10	100,00	100,70	102,90	101,80	101,40	102,20	100,50	102,30	105,50	103,10
Апрель	99,90	104,40	101,70	100,80	102,10	101,10	102,10	102,50	100,60	104,30	104,50	102,40	103,20	102,00	100,70	98,80	100,70	102,70	102,60
Май	98,70	103,90	101,70	101,10	102,20	100,10	102,10	102,70	101,80	105,40	103,50	100,60	102,70	101,10	97,60	99,00	100,40	98,80	101,00
Июнь	99,70	103,20	102,40	102,50	103,00	100,40	102,80	100,10	100,80	102,50	104,90	102,20	96,90	97,70	99,20	100,40	100,80	100,70	102,70
Июль	98,40	104,70	102,80	100,50	102,60	102,20	101,20	100,50	101,80	100,70	105,40	101,80	100,60	98,20	98,90	102,00	101,60	101,50	100,10
Август	97,80	104,50	101,80	100,00	102,00	101,80	101,80	102,00	102,20	102,10	100,50	101,40	103,30	103,30	105,10	102,80	100,00	100,10	98,60
Сентябрь	107,30	105,20	102,20	99,80	101,10	101,40	103,10	102,80	101,40	99,40	95,00	101,20	98,70	100,50	104,80	101,40	99,20	98,90	100,70
Октябрь	106,10	105,60	103,50	100,40	102,10	100,80	101,80	100,90	97,30	99,90	93,40	99,10	102,20	100,90	98,40	98,80	100,30	101,80	100,30
Ноябрь	105,30	104,10	101,20	100,20	101,60	100,20	102,00	99,10	97,50	103,10	91,60	99,50	104,40	101,00	98,80	98,50	99,50	99,30	100,70
Декабрь	104,50	102,50	101,10	99,70	100,10	100,50	100,10	97,90	101,00	103,70	92,40	100,50	101,00	100,20	98,90	101,00	100,80	97,80	100,60
Декабрь в % к декабрю предыдущего года	119,40	170,70	131,90	108,30	117,70	112,50	128,80	113,40	110,40	125,10	93,00	113,90	116,70	112,00	105,10	103,70	105,90	110,70	107,40

How to read this table

Rows in the dataset are distributed by month, enabling comparison between January, February, and March values. This breakdown helps identify pricing patterns at different times within a single calendar year. Indicators can be compared by year to assess the stability of industrial pricing over nearly two decades

What is visible in these numbers

Highest values: December as a percentage of December of the previous year (170.7), September (107.3), January (107.2). The top three account for 26.8% of the total sum across all positions

Observations are annual, with 19 periods in the dataset. Of 247 possible values, 247 (100%) are filled, meaning the table is almost entirely complete

Period and application

Data for the period 1998–2016 includes annual dynamics for the first months of each year. These statistics are useful for economists and specialists studying inflationary processes and monitoring industrial product costs. The information is published by Rosstat as part of regular updates to official state reporting

How it is calculated

The figures are useful when revising price lists, disputing with a supplier over indexation, and calculating real rather than nominal sales dynamics

Did you notice an error in this table? The parser is wrong, and most often one correction fixes many pages

Report an error Typo is easier this way: highlight it and press Ctrl + Enter