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Producer price indices for manufacturing

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

Changes in manufacturing prices in Russia from 1998 to 2016 are presented as indices. The indicators cover products intended for the domestic market and are classified according to OKVED-2007. The table contains thirteen rows by month, allowing for the tracking of seasonal price fluctuations throughout the year. The data covers a nineteen-year period and enables assessment of price dynamics at the beginning of each year

Chart of monthly producer price indices for manufacturing, 1998–2016

80 100 120 140 160 180 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
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Set in numbers

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

December as a percentage of December of the previous year: the indicator fell from 131.4 to 107.7 over 1998–2016 — by 18%. The highest value was 167.6 (1999), the lowest was 101.6 (2013). This averages to a 1.1% annual decline. Up to 2007 the change was −10.3%, after that −8.65%. Of the 13 largest rows, 5 increased, 8 decreased

All table numbers are series: 13
Series 1998199920002001200220032004200520062007200820092010201120122013201420152016
Январь 100,60 107,90 103,40 101,50 100,40 101,10 101,10 100,90 101,10 100,00 100,60 98,50 101,10 101,00 99,00 99,50 99,40 102,70 99,40
Февраль 100,50 106,40 102,90 101,30 100,50 101,70 102,30 100,90 101,80 99,80 100,10 102,80 101,50 102,00 100,00 100,40 100,80 103,20 101,20
Март 99,90 104,90 101,70 100,50 100,30 101,50 101,60 101,00 100,50 101,20 103,20 100,10 101,20 100,80 100,30 99,90 101,40 103,00 101,30
Апрель 100,20 105,70 101,60 100,60 101,70 101,60 102,10 101,10 100,70 103,30 104,70 100,20 102,40 101,00 100,90 100,00 101,00 100,70 100,10
Май 100,00 103,50 101,40 100,80 101,20 100,80 102,30 101,00 102,60 102,50 103,10 99,50 102,30 101,10 100,10 99,70 100,80 99,80 101,30
Июнь 99,90 103,20 102,30 100,60 101,70 101,20 102,40 100,30 100,70 101,30 103,50 101,80 99,90 99,50 100,30 99,90 100,80 100,20 102,10
Июль 99,60 103,20 101,50 99,70 101,20 101,40 100,70 100,40 101,60 101,10 103,50 100,60 100,10 100,30 100,70 100,70 101,40 101,60 100,40
Август 100,30 104,20 101,50 100,00 100,80 101,10 101,40 100,40 102,00 100,90 100,30 101,40 100,70 101,70 101,70 101,70 100,60 100,50 99,70
Сентябрь 110,80 104,50 102,10 100,10 101,00 101,40 103,10 101,00 101,00 100,10 99,20 101,70 101,00 100,60 101,30 100,70 100,60 100,70 99,60
Октябрь 107,00 103,50 102,60 100,60 101,60 101,10 101,40 100,40 99,50 101,70 97,90 99,70 102,10 100,80 100,50 99,80 100,40 100,40 100,50
Ноябрь 104,30 103,40 101,00 100,30 101,20 101,10 101,50 100,20 100,50 102,90 93,10 100,50 102,40 100,10 99,60 99,60 100,70 99,30 100,20
Декабрь 105,40 102,50 100,20 100,10 101,00 100,70 99,80 100,20 100,50 102,00 93,50 99,20 101,10 99,20 98,90 99,80 100,30 98,70 101,70
Декабрь в % к декабрю предыдущего года 131,40 167,60 124,80 106,30 113,20 115,80 121,50 108,10 113,30 117,90 101,90 105,90 116,90 108,30 103,20 101,60 108,50 111,20 107,70

How to read this table

The table rows are broken down by month, enabling comparisons of product prices in January, February, and March. This breakdown shows how prices change during the first quarter of the year over nearly two decades. Comparing these series helps identify pricing patterns among manufacturers in the manufacturing sector

What is visible in these numbers

Highest values: December as a percentage of December of the previous year (167.6), September (110.8), January (107.9). The top three account for 26.9% of the total sum across all positions

Observations are annual, the dataset contains 19 periods. Of 247 possible values, 247 (100%) are filled; data gaps are virtually absent

More in the section Prices, inflation»

Period and application

Statistics are published annually and cover the period from 1998 to 2016. Monthly data is useful for economists, analysts, and industry representatives monitoring inflationary processes. Rosstat data reflect the actual cost of goods within the country

How it is calculated

These rows are used to recalculate long-term contracts, adjust past years' revenue to current money values, and check whether the selling price outpaces general price growth