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Producer price indices for mining and quarrying in Russia

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

These data track changes in producer prices for mining industry goods from 1998 to 2016. Table rows are broken down by month, allowing for the observation of seasonal price dynamics within each year. The indicators apply to goods intended for sale on the Russian domestic market and reflect price changes in percent

Chart of monthly producer price indices for mining from 1998 to 2016

50 100 150 200 250 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
how it will look

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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 increased from 98.7 to 107.9 over 1998–2016 — by 9.32%. The highest value was 225.2 (1999), the lowest was 61.6 (2008). This is an average annual growth of 0.5%. Up to 2007, the change was +54.3%, after — −29.2%. Of the 13 largest rows, 8 increased, 5 decreased

All table numbers are series: 13
Series 1998199920002001200220032004200520062007200820092010201120122013201420152016
Январь 101,50 108,80 108,60 100,60 99,30 98,20 113,30 95,70 96,20 107,50 104,20 80,40 92,70 104,70 101,80 99,90 103,60 97,30 95,60
Февраль 100,20 103,10 103,20 98,30 94,80 99,10 104,50 98,40 106,60 94,70 95,40 112,60 101,30 105,10 104,50 102,50 95,70 100,20 87,70
Март 97,80 103,90 102,50 99,10 97,70 98,70 101,20 109,60 108,00 95,50 94,40 119,90 103,70 102,80 107,80 101,40 106,70 117,60 112,50
Апрель 97,80 102,80 102,70 101,00 100,60 99,40 103,70 108,90 100,60 110,70 107,30 115,30 106,20 106,60 100,50 95,00 100,20 110,80 113,00
Май 95,20 106,30 101,30 101,70 104,10 97,50 102,40 109,70 100,80 115,70 106,30 105,30 104,60 102,40 91,20 97,20 99,40 95,70 101,20
Июнь 98,30 104,20 101,00 109,00 109,00 97,60 105,70 99,30 101,40 106,80 110,60 105,30 90,00 92,70 96,40 102,80 101,50 104,00 105,60
Июль 94,20 110,90 104,40 100,50 108,30 106,50 102,90 101,20 103,20 99,90 111,70 107,10 101,90 93,60 92,40 104,50 102,00 99,00 98,70
Август 90,80 108,10 101,30 99,00 103,70 105,10 103,90 108,00 103,90 105,50 100,40 102,90 109,90 109,30 114,60 104,40 98,00 97,00 93,20
Сентябрь 101,30 109,50 103,20 97,90 101,10 102,20 105,00 109,00 102,90 97,40 84,20 100,40 93,40 100,80 115,90 104,30 94,20 92,80 104,00
Октябрь 106,40 115,30 108,20 100,00 104,50 100,60 103,60 102,60 89,70 96,10 79,20 95,90 103,20 100,80 92,40 96,10 100,20 106,50 100,00
Ноябрь 112,30 108,00 101,30 99,60 103,40 97,40 104,50 96,30 87,40 105,60 83,10 95,80 110,30 103,60 96,50 94,30 95,30 98,30 102,20
Декабрь 104,90 103,70 103,40 97,80 97,80 100,10 100,80 90,90 103,10 110,00 83,80 105,80 101,10 102,60 98,50 105,60 102,30 93,10 97,00
Декабрь в % к декабрю предыдущего года 98,70 225,20 149,10 104,00 125,80 101,80 164,70 131,00 101,60 152,30 61,60 149,20 117,10 126,30 109,30 107,00 98,40 109,80 107,90

How to read this table

The list presents three key months: January, February, and March. Comparing these rows helps to understand how the cost of mining sector products changed at the beginning of the year. Each row contains values for the entire available period, making it convenient to compare the start of each year

What is visible in these numbers

Highest values: December as a percentage of December of the previous year (225.2), March (119.9), September (115.9). The top three account for 29% of the total sum across all positions

Observations are annual; total periods: 19. 247 of 247 possible values are filled (100%), meaning the table is almost entirely complete

More in the section Prices, inflation»

Period and application

The statistics cover the period from 1998 to 2016 and show the monthly dynamics of indicators. This information is useful for analyzing inflationary processes in mining industries and assessing market conditions. Rosstat data is suitable for monitoring domestic market prices

How it is calculated

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