Do producer prices predict consumer prices?

by Klaus Kostenbauer

Release date: February 11, 2022

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Acknowledgements

This work would not have been possible without the contributions of dedicated staff from Statistics Canada: Lydia Couture, Ning Huang and Devin MacKay.

Introduction

There has been a persistent curiosity about the predictability of consumer price inflation by looking at the pass-through effect of prices from earlier stages of production.Note The theory is that the prices of consumer items, particularly goods, respond to cost pressures from the inputs to production. For example, iron ore is an input to the steel industry, which in turn fabricates products used by automotive manufacturers. The finished cars pass on to dealerships, and are sold to consumers. All else equal, a change in price in an important input gets “passed through” the value chain to the consumer. In the actual economy, however, not all else is equal. Price formation in a market economy does not occur on a “cost plus profit margin” model, but along the price that the market bears. Consumers can show resistance to price increases by purchasing domestically produced or imported substitutes, or by simply doing without. Producers similarly can substitute materials or otherwise reduce use of specific inputs. Additionally, and returning to the example, following the higher cost of iron ore, competitive market forces may adjust margins related to transportation, wholesale and retail in such a way as to absorb the price increase and show little movement, if any, in final consumer prices.

This paper examines in particular a limited portion of the value chain, namely the predictive power of producer prices of goods as measured by the Industrial Product Price Index (IPPI) on consumer prices, as measured by the Consumer Price Index (CPI). Specifically, the question to what extent producer prices predict consumer prices, is of heightened current interest. The study focuses on price series excluding the energy component.Note

Presently, there is a surge in popularity in predicting the direction of future consumer price inflation. Inflation has been low and predictable for 30 years in Canada and shows the success of the Bank of Canada’s policy of inflation targeting. First introduced in 1991, the Bank of Canada aims to keep inflation at the 2 percent midpoint of an inflation-control target range 1 to 3 percent. Internationally, the Central Banks of the UK, Australia, New Zealand, the EU and the USA have pursued similar policy goals. Inflation has been around the 2% mark for our key trading partners for a long time now. Several events, however, have led to questions by prominent economists as to whether Central Banks will continue to be able to pursue inflation targeting in the same way as they have the last 30 years.Note First, monetary policy has been expansionary for the better part of 20 years and particularly so since the financial crisis that started in 2008. Both centrally administered, as well as mortgage, interest rates have been kept low and thereby boosted credit and money supply, where a particularly strong acceleration of monetary expansion during the pandemic led to an increase in total credit to the economy at more than twice the rate of GDP. Second, the pandemic led to expansionary fiscal policy of unprecedented fiscal deficits.

Chart 1

Data table for Chart 1 
Data table for Chart 1
Table summary
This table displays the results of Data table for Chart 1 Money Supply (M2+, billions $CAD) and 5-year mortgage rate (appearing as column headers).
Money Supply (M2+, billions $CAD) 5-year mortgage rate
2000
January 673 8.34
February 674 8.43
March 679 8.24
April 687 8.23
May 686 8.50
June 692 8.34
July 694 8.18
August 695 8.08
September 697 8.08
October 699 8.08
November 702 8.04
December 712 7.81
2001
January 709 7.58
February 712 7.52
March 718 7.19
April 724 7.22
May 728 7.38
June 731 7.47
July 734 7.46
August 736 7.39
September 746 7.03
October 752 6.74
November 763 6.51
December 775 6.64
2002
January 774 6.62
February 774 6.59
March 776 6.80
April 779 7.00
May 781 7.00
June 787 6.98
July 790 6.90
August 794 6.61
September 798 6.49
October 802 6.50
November 807 6.47
December 813 6.39
2003
January 810 6.26
February 809 6.29
March 812 6.33
April 816 6.44
May 820 6.10
June 828 5.62
July 833 5.71
August 836 5.87
September 836 5.97
October 837 5.83
November 843 6.02
December 851 6.00
2004
January 849 5.78
February 849 5.51
March 849 5.31
April 858 5.56
May 865 5.82
June 873 6.06
July 876 6.10
August 875 5.97
September 875 5.94
October 878 5.95
November 880 5.87
December 893 5.69
2005
January 892 5.60
February 892 5.59
March 892 5.60
April 902 5.67
May 907 5.55
June 915 5.31
July 915 5.26
August 913 5.32
September 917 5.30
October 923 5.39
November 927 5.56
December 940 5.60
2006
January 935 5.65
February 937 5.75
March 940 5.78
April 952 5.88
May 955 6.05
June 966 6.12
July 974 6.26
August 977 6.24
September 986 6.13
October 993 6.01
November 1003 5.99
December 1018 5.89
2007
January 1013 5.91
February 1014 6.00
March 1019 5.91
April 1031 5.92
May 1035 6.01
June 1048 6.51
July 1058 6.60
August 1062 6.62
September 1069 6.61
October 1067 6.69
November 1076 6.73
December 1096 6.75
2008
January 1098 6.81
February 1104 6.72
March 1114 6.60
April 1130 6.40
May 1141 6.21
June 1155 6.20
July 1162 6.37
August 1169 6.25
September 1178 6.16
October 1192 6.46
November 1213 6.51
December 1241 6.17
2009
January 1247 5.78
February 1253 5.28
March 1264 5.14
April 1281 4.79
May 1289 4.62
June 1297 4.90
July 1306 5.14
August 1310 5.13
September 1312 4.97
October 1316 5.00
November 1321 5.06
December 1330 4.83
2010
January 1319 4.80
February 1319 4.73
March 1317 4.71
April 1326 5.15
May 1337 5.30
June 1349 5.18
July 1354 5.02
August 1354 4.82
September 1360 4.60
October 1365 4.52
November 1365 4.45
December 1379 4.50
2011
January 1371 4.55
February 1369 4.68
March 1372 4.70
April 1382 4.87
May 1387 4.83
June 1401 4.60
July 1405 4.57
August 1409 4.52
September 1426 4.42
October 1438 4.35
November 1445 4.38
December 1461 4.36
2012
January 1457 4.31
February 1451 4.23
March 1450 4.21
April 1463 4.36
May 1474 4.35
June 1493 4.25
July 1501 4.23
August 1503 4.23
September 1503 4.20
October 1507 4.17
November 1517 4.15
December 1532 4.15
2013
January 1526 4.14
February 1531 4.11
March 1539 4.02
April 1547 4.02
May 1549 4.02
June 1561 4.00
July 1564 4.08
August 1572 4.14
September 1577 4.33
October 1583 4.40
November 1595 4.39
December 1614 4.39
2014
January 1611 4.38
February 1605 4.32
March 1606 4.16
April 1613 4.02
May 1621 4.02
June 1630 4.00
July 1634 4.01
August 1643 4.01
September 1651 4.02
October 1661 4.00
November 1666 4.00
December 1683 3.98
2015
January 1675 3.96
February 1676 3.91
March 1677 3.84
April 1688 3.76
May 1692 3.74
June 1702 3.72
July 1718 3.71
August 1728 3.71
September 1740 3.71
October 1744 3.72
November 1756 3.72
December 1772 3.75
2016
January 1772 3.76
February 1775 3.75
March 1776 3.73
April 1792 3.70
May 1802 3.67
June 1818 3.66
July 1840 3.67
August 1848 3.68
September 1864 3.67
October 1878 3.68
November 1893 3.70
December 1911 3.74
2017
January 1917 3.73
February 1905 3.75
March 1912 3.66
April 1932 3.62
May 1947 3.59
June 1956 3.60
July 1957 3.72
August 1955 3.82
September 1966 3.89
October 1975 3.98
November 1986 4.04
December 2013 4.07
2018
January 2002 4.14
February 1996 4.26
March 2001 4.27
April 2012 4.27
May 2016 4.35
June 2032 4.32
July 2037 4.42
August 2047 4.43
September 2061 4.43
October 2071 4.48
November 2089 4.38
December 2120 4.59
2019
January 2114 4.59
February 2112 4.52
March 2124 4.44
April 2147 4.33
May 2161 4.30
June 2174 4.23
July 2185 4.14
August 2201 4.08
September 2218 4.07
October 2233 4.09
November 2248 4.09
December 2276 4.08
2020
January 2267 4.08
February 2273 4.08
March 2316 3.90
April 2396 3.95
May 2452 3.86
June 2502 3.77
July 2532 3.64
August 2566 3.57
September 2592 3.51
October 2618 3.45
November 2639 3.42
December 2655 3.34
2021
January 2655 3.30
February 2674 3.25
March 2680 3.26
April 2716 3.25
May 2747 3.25
June 2768 3.26
July 2792 3.20
August 2812 3.20
September 2818 3.22
October 2823 3.29

Chart 2

Data table for Chart 2 
Data table for Chart 2
Table summary
This table displays the results of Data table for Chart 2 Budgetary balance - General governments (Table 36-10-0477-01), calculated using billions $CAD units of measure (appearing as column headers).
Budgetary balance - General governments (Table 36-10-0477-01)
billions $CAD
2000
Q1 23.117
Q2 28.577
Q3 32.692
Q4 33.367
2001
Q1 31.650
Q2 30.097
Q3 20.786
Q4 11.135
2002
Q1 5.277
Q2 -0.383
Q3 0.197
Q4 4.202
2003
Q1 7.000
Q2 3.706
Q3 5.513
Q4 6.262
2004
Q1 8.271
Q2 12.841
Q3 17.196
Q4 19.916
2005
Q1 25.579
Q2 28.825
Q3 30.654
Q4 35.015
2006
Q1 36.369
Q2 38.887
Q3 40.137
Q4 41.616
2007
Q1 44.755
Q2 48.405
Q3 48.490
Q4 45.897
2008
Q1 44.085
Q2 36.618
Q3 31.358
Q4 18.025
2009
Q1 4.183
Q2 -14.348
Q3 -31.653
Q4 -38.163
2010
Q1 -43.522
Q2 -40.064
Q3 -44.271
Q4 -49.755
2011
Q1 -50.328
Q2 -48.430
Q3 -43.447
Q4 -37.676
2012
Q1 -32.709
Q2 -30.802
Q3 -28.680
Q4 -27.902
2013
Q1 -27.724
Q2 -25.261
Q3 -20.615
Q4 -16.052
2014
Q1 -4.545
Q2 0.321
Q3 3.858
Q4 6.738
2015
Q1 3.312
Q2 5.918
Q3 3.153
Q4 6.187
2016
Q1 8.669
Q2 6.650
Q3 5.766
Q4 0.180
2017
Q1 -0.947
Q2 4.747
Q3 7.730
Q4 10.641
2018
Q1 15.408
Q2 14.903
Q3 19.536
Q4 22.413
2019
Q1 22.042
Q2 18.127
Q3 11.272
Q4 6.133
2020
Q1 -15.097
Q2 -128.015
Q3 -192.914
Q4 -236.446
2022
Q1 -263.033
Q2 -186.767
Q3 -150.216

Chart 3

Data table for Chart 3 
Data table for Chart 3
Table summary
This table displays the results of Data table for Chart 3 Total Business and Household Credit, calculated using percent of GDP units of measure (appearing as column headers).
Total Business and Household Credit
percent of GDP
2000
Q1 135.0023
Q2 134.3238
Q3 132.8161
Q4 131.8913
2001
Q1 130.5489
Q2 130.6636
Q3 132.5086
Q4 133.8497
2002
Q1 135.0705
Q2 135.5512
Q3 135.4164
Q4 134.4762
2003
Q1 133.1385
Q2 133.1815
Q3 133.7217
Q4 134.3506
2004
Q1 135.1891
Q2 136.5107
Q3 136.6481
Q4 137.3872
2005
Q1 137.3436
Q2 138.4896
Q3 139.4887
Q4 139.9522
2006
Q1 140.0554
Q2 140.9161
Q3 141.9663
Q4 143.2532
2007
Q1 144.5601
Q2 146.7193
Q3 148.4023
Q4 149.7992
2008
Q1 150.0668
Q2 151.2354
Q3 150.9339
Q4 152.5327
2009
Q1 154.3223
Q2 158.9137
Q3 164.0669
Q4 167.1036
2010
Q1 165.8772
Q2 165.6404
Q3 165.4327
Q4 165.1375
2011
Q1 164.4886
Q2 164.5465
Q3 164.2206
Q4 163.4382
2012
Q1 163.6728
Q2 164.7774
Q3 166.5523
Q4 168.3374
2013
Q1 169.0359
Q2 169.9953
Q3 170.2977
Q4 170.5247
2014
Q1 169.8959
Q2 170.2407
Q3 171.4389
Q4 173.3041
2015
Q1 175.8038
Q2 178.6189
Q3 182.1213
Q4 184.7791
2016
Q1 185.7421
Q2 187.9824
Q3 190.4013
Q4 191.3115
2017
Q1 192.5576
Q2 193.1635
Q3 193.3649
Q4 193.3507
2018
Q1 193.4216
Q2 193.7206
Q3 193.4941
Q4 194.6332
2019
Q1 194.7840
Q2 195.4992
Q3 196.5624
Q4 196.2365
2020
Q1 198.6570
Q2 206.8723
Q3 209.5252

The macroeconomic outcomes of current economic events on consumer price inflation are unknown, but have led to a renewed interest in identifying advance signals of consumer price inflation. One traditional approach, already alluded to earlier, is to start with the observation that producer prices at earlier stages of production can be viewed as the price of inputs, which are in turn used in the production of final goods. In this uncomplicated view, the IPPI for first stage intermediate goods, second stage intermediate goods and final goods correspond to different input goods linked by their respective place in the different stages of the value-added chain, before goods eventually arrive at retail outlets, where prices get measured by the CPI. In short, changes in prices along the chain of production should link changes in the IPPI to changes in the CPI. This is the often-mentioned pass-through effect.

Statistics Canada has previously examined possible pass-through effects in 1997 and in 2009.Note The earlier study used VAR modelling and found no useable predictive power of the IPPI for the CPI, including for the restrictive definition of the IPPI excluding energy and the Goods-only CPI. The later study found statistical links in some time periods, but identified no solid predictive relation that could be used going forward. Numerous international studies have also failed to identify consistent pass-through effects.Note Results vary between significant and insignificant and even the direction of causation of producer prices to consumer prices has been found to be reversed. With the exception of energy (gasoline) and some food products, the conclusion from the literature is that economists cannot use, however defined, the IPPI to predict movements in the CPI in a way that is valuable to policy makers.

Data and methods

The article studies predictive relations between producer and consumer prices separately for three levels of aggregations: top-level, mid-level and detailed commodities, based on Statistics Canada’s IPPI and CPI programs, from January 2000 to October 2021. The top level of aggregation examines the IPPI excluding energy and the CPI excluding energy using inflation cycle analysis as well as Vector Autoregressive (VAR) models or Vector Error Correction Models (VECM).Note The mid-level aggregates studied are groupings that are available for both the IPPI and the CPI: food, passenger vehicles, householdfurniture.Note The primary analysis tool are graphical descriptions and Pearson appliances, household cleaning products, and correlations. Finally, what makes the current study novel is its investigation of the predictive power of producer prices on consumer prices at the lowest level of aggregation, such as beef and cheese. Methods used are graphical analysis and VAR or VCEM models.

Beyond the 2000-2021 time frame, the study starts with an overview and assessment of the predictive link from the last 40 years.

Top-level aggregate movements in producer and consumer prices

Chart 4

Data table for Chart 4 
Data table for Chart 4
Table summary
This table displays the results of Data table for Chart 4 CPI excl. energy and Total Industrial product price index (IPPI), excluding energy and petroleum products, calculated using year-over-year percent change units of measure (appearing as column headers).
CPI excl. energy Total Industrial product price index (IPPI), excluding energy and petroleum products
year-over-year percent change
1982
January 10.3 6.5
February 10.4 6.5
March 10.1 6.7
April 10.0 6.6
May 10.5 6.6
June 10.4 6.1
July 10.1 5.7
August 9.9 5.0
September 9.2 5.0
October 9.1 4.1
November 9.1 4.3
December 8.6 3.9
1983
January 7.8 3.3
February 7.4 3.4
March 7.1 3.0
April 6.5 3.0
May 6.1 3.0
June 5.1 2.8
July 4.9 3.2
August 4.8 3.4
September 4.8 3.2
October 5.0 3.8
November 4.2 3.8
December 4.2 4.4
1984
January 5.0 4.1
February 4.7 4.1
March 4.7 5.1
April 4.9 5.1
May 4.2 4.6
June 4.5 4.6
July 4.5 5.0
August 4.1 4.6
September 4.1 4.6
October 3.2 4.2
November 3.7 4.2
December 3.6 3.6
1985
January 3.4 3.4
February 3.5 3.2
March 3.3 3.2
April 3.5 2.4
May 3.5 2.2
June 3.8 2.2
July 3.6 1.5
August 3.9 1.5
September 3.8 1.8
October 3.9 2.0
November 3.8 2.2
December 4.4 2.6
1986
January 4.4 3.3
February 4.4 3.1
March 4.5 2.5
April 4.8 3.3
May 5.3 3.1
June 4.8 3.2
July 5.4 3.4
August 5.4 4.3
September 5.7 4.5
October 5.8 4.9
November 6.0 4.7
December 5.8 4.1
1987
January 5.6 3.5
February 5.3 2.8
March 5.1 2.5
April 4.8 2.5
May 4.7 3.5
June 4.7 3.5
July 4.7 3.8
August 4.2 3.5
September 4.0 3.3
October 4.0 3.1
November 4.0 3.6
December 3.7 4.3
1988
January 3.7 5.0
February 4.1 5.3
March 4.4 5.7
April 4.2 5.5
May 4.2 4.9
June 4.1 5.1
July 4.0 5.2
August 4.3 5.2
September 4.6 5.0
October 4.6 4.8
November 4.7 5.1
December 4.7 4.6
1989
January 5.0 3.9
February 5.0 4.2
March 4.9 4.2
April 4.9 3.6
May 5.2 3.1
June 5.4 2.6
July 5.4 1.8
August 5.2 1.3
September 5.1 1.0
October 5.2 0.3
November 5.0 -0.6
December 4.9 -1.1
1990
January 5.2 -1.6
February 5.1 -0.8
March 5.0 -1.3
April 4.7 -1.3
May 4.1 -0.3
June 4.2 -0.6
July 4.1 -0.8
August 4.1 -0.6
September 4.2 0.3
October 4.0 0.6
November 4.0 0.8
December 4.2 0.8
1991
January 6.2 1.1
February 5.9 0.2
March 6.1 0.0
April 6.3 0.0
May 6.2 -0.9
June 6.2 -0.8
July 5.8 -0.6
August 5.8 -1.3
September 5.3 -2.0
October 4.9 -2.0
November 4.7 -2.4
December 4.5 -1.7
1992
January 2.1 -2.2
February 1.9 -0.9
March 1.7 -0.2
April 1.7 -0.5
May 1.4 0.3
June 1.1 0.5
July 1.3 0.6
August 1.2 1.6
September 1.3 2.4
October 1.6 3.0
November 1.8 3.9
December 1.9 4.2
1993
January 2.0 5.2
February 2.3 4.3
March 1.9 4.1
April 1.8 4.5
May 1.9 3.3
June 1.8 3.2
July 1.6 3.5
August 1.6 4.4
September 2.0 3.8
October 2.0 3.6
November 2.0 3.7
December 2.0 4.2
1994
January 1.6 3.8
February 0.3 4.6
March 0.1 4.9
April 0.1 5.3
May -0.1 6.3
June 0.0 7.4
July 0.0 7.5
August 0.0 7.1
September 0.0 7.1
October -0.2 7.2
November -0.2 7.9
December 0.1 8.1
1995
January 0.6 10.2
February 1.7 9.3
March 2.2 9.4
April 2.6 8.5
May 2.7 7.8
June 2.6 7.7
July 2.8 7.8
August 2.7 7.1
September 2.5 7.2
October 2.5 6.5
November 2.3 5.3
December 1.8 4.2
1996
January 1.6 1.7
February 1.4 1.2
March 1.5 -0.4
April 1.2 -0.3
May 1.4 1.1
June 1.4 -0.3
July 1.2 -0.8
August 1.4 -0.1
September 1.4 -0.4
October 1.5 -1.1
November 1.8 -1.4
December 1.9 -1.2
1997
January 1.8 -1.3
February 1.8 -0.8
March 1.8 0.7
April 1.8 2.0
May 1.8 0.8
June 1.9 1.1
July 1.6 0.8
August 1.6 0.5
September 1.3 0.4
October 1.4 1.2
November 0.8 2.0
December 0.8 1.6
1998
January 1.4 2.0
February 1.5 1.9
March 1.4 0.4
April 1.2 0.4
May 1.3 0.4
June 1.3 1.1
July 1.4 1.7
August 1.4 1.8
September 1.5 1.4
October 1.4 2.2
November 1.6 1.7
December 1.5 1.2
1999
January 1.0 1.0
February 1.0 0.5
March 1.1 2.2
April 1.4 0.9
May 1.5 1.0
June 1.5 0.8
July 1.5 1.6
August 1.5 0.8
September 1.7 1.6
October 1.5 0.6
November 1.4 0.6
December 1.5 1.7
2000
January 1.2 1.6
February 1.3 2.3
March 1.3 2.1
April 1.2 3.1
May 1.3 3.1
June 1.5 2.6
July 1.6 1.4
August 1.7 1.5
September 1.5 1.4
October 1.6 2.3
November 1.8 3.1
December 2.2 1.9
2001
January 2.1 1.9
February 2.4 2.2
March 2.4 2.4
April 2.6 2.0
May 2.6 2.3
June 2.5 1.6
July 2.7 1.4
August 2.5 1.3
September 2.5 1.6
October 2.4 -0.1
November 2.1 -0.2
December 2.0 -0.4
2002
January 2.3 0.9
February 2.3 0.6
March 2.4 0.0
April 2.5 -0.2
May 2.4 -1.1
June 2.6 -0.4
July 2.7 0.0
August 2.9 0.6
September 2.8 0.9
October 3.0 2.0
November 3.6 1.2
December 3.6 1.6
2003
January 3.6 0.5
February 3.4 0.2
March 3.2 -0.4
April 2.8 -1.1
May 2.7 -2.1
June 2.2 -2.9
July 1.8 -1.9
August 1.7 -2.3
September 1.9 -2.6
October 1.9 -3.7
November 1.8 -3.9
December 1.7 -3.5
2004
January 1.5 -3.1
February 1.1 -1.2
March 1.2 -0.1
April 1.2 1.9
May 1.4 4.8
June 1.6 5.5
July 1.6 4.1
August 1.4 4.3
September 1.5 3.2
October 1.5 2.9
November 1.7 1.7
December 1.6 2.6
2005
January 1.5 2.7
February 1.6 1.6
March 1.7 0.7
April 1.6 -0.2
May 1.5 -1.3
June 1.5 -1.6
July 1.3 -2.2
August 1.7 -2.7
September 1.6 -2.2
October 1.5 -0.4
November 1.4 1.6
December 1.3 0.6
2006
January 1.7 0.6
February 1.6 -0.4
March 1.6 0.2
April 1.6 0.4
May 1.8 0.5
June 1.6 0.6
July 1.5 2.9
August 1.5 2.6
September 1.8 2.9
October 2.0 2.9
November 1.8 2.6
December 1.7 3.6
2007
January 1.8 3.8
February 2.3 4.3
March 2.1 4.5
April 2.3 4.0
May 2.1 3.0
June 2.2 2.6
July 2.5 0.4
August 2.3 0.1
September 2.1 -1.0
October 1.9 -2.8
November 1.7 -3.1
December 1.7 -3.0
2008
January 1.3 -2.7
February 1.0 -3.2
March 1.0 -2.8
April 1.1 -1.9
May 1.3 -1.3
June 1.6 0.7
July 1.6 2.3
August 1.8 4.4
September 1.9 5.0
October 1.8 8.4
November 2.6 8.0
December 2.6 6.2
2009
January 2.3 5.0
February 2.5 5.2
March 2.5 4.6
April 2.4 3.1
May 2.3 1.3
June 2.1 -0.2
July 1.8 -1.1
August 1.4 -2.3
September 1.3 -2.2
October 1.4 -4.7
November 1.0 -3.6
December 0.8 -2.7
2010
January 1.3 -2.4
February 1.3 -2.5
March 1.0 -3.2
April 1.1 -2.2
May 1.0 0.5
June 0.9 0.2
July 1.3 0.4
August 1.4 1.0
September 1.5 1.8
October 1.9 2.9
November 1.5 2.8
December 1.7 3.0
2011
January 1.7 3.2
February 1.4 3.8
March 2.4 4.8
April 2.0 4.8
May 2.4 3.5
June 1.9 4.6
July 1.7 4.4
August 2.0 5.1
September 2.3 4.9
October 2.1 3.4
November 2.2 3.1
December 1.8 2.0
2012
January 2.1 1.8
February 2.2 1.7
March 1.6 1.0
April 2.1 0.6
May 1.7 0.8
June 1.7 0.8
July 1.5 0.3
August 1.4 -1.3
September 0.9 -1.1
October 1.1 -0.1
November 0.9 0.0
December 1.0 0.6
2013
January 0.7 0.3
February 1.2 0.3
March 1.1 0.5
April 0.7 0.0
May 0.7 -0.1
June 0.9 -0.3
July 1.0 0.0
August 1.0 0.8
September 1.0 -0.1
October 0.9 -0.2
November 0.8 -0.2
December 1.0 0.1
2014
January 1.2 1.5
February 1.1 1.9
March 1.3 2.5
April 1.4 2.7
May 1.7 2.5
June 1.9 2.5
July 1.8 3.2
August 2.0 3.0
September 2.1 3.4
October 2.2 3.6
November 2.2 3.5
December 2.2 3.4
2015
January 2.3 3.6
February 2.2 3.5
March 2.3 2.8
April 2.2 2.6
May 2.2 3.0
June 2.1 3.2
July 2.2 3.8
August 2.0 4.1
September 2.1 4.2
October 2.1 3.6
November 2.0 3.2
December 2.0 3.5
2016
January 2.2 3.5
February 2.0 1.9
March 2.1 0.7
April 2.1 0.2
May 1.9 0.9
June 2.0 0.9
July 1.9 0.8
August 1.8 0.1
September 1.6 0.3
October 1.4 1.0
November 1.3 2.1
December 1.3 1.2
2017
January 1.4 0.0
February 1.3 0.9
March 1.0 3.3
April 1.0 4.6
May 1.1 4.7
June 1.2 3.6
July 1.3 0.9
August 1.3 1.3
September 1.3 -0.1
October 1.4 0.7
November 1.7 0.6
December 1.7 1.0
2018
January 1.7 0.8
February 2.0 1.0
March 1.9 0.8
April 1.9 0.5
May 1.6 0.6
June 1.6 2.1
July 2.1 3.5
August 2.2 3.0
September 1.8 4.1
October 2.0 3.1
November 1.9 2.6
December 2.5 3.0
2019
January 2.1 2.7
February 2.1 1.9
March 2.2 1.6
April 2.2 1.9
May 2.7 1.0
June 2.6 -0.4
July 2.5 -0.7
August 2.4 0.5
September 2.4 0.3
October 2.3 0.1
November 2.3 -0.1
December 2.0 -0.2
2020
January 2.0 0.2
February 2.0 1.0
March 1.7 1.6
April 1.6 1.3
May 1.0 2.0
June 1.3 1.8
July 0.8 2.9
August 0.7 3.4
September 1.0 4.8
October 1.1 4.9
November 1.4 4.2
December 1.1 5.0
2021
January 1.3 6.4
February 1.0 8.2
March 1.1 8.6
April 1.6 11.0
May 2.2 13.6
June 2.0 14.6
July 2.6 13.6
August 3.0 11.9
September 3.3 11.8
October 3.3 12.5

The sustained fall in consumer price inflation during the early 1990s coincided with the policy regime change towards inflation targets. Between 1992 and 2020, consumer price inflation was within a narrow range of 0.8–3.6%. The period between 2004 and 2020 in particular have showed remarkably stable inflation, with the CPI anchored to a tight band between 0.7-2.8%. The band had been maintained by the Bank of Canada’s management of inflationary expectations, whereby employers, labour and consumers resisted wage and price increases that extended above the target range. The same period, however, had been marked by pronounced fluctuations in producer prices.

Table 1 shows turning points in the IPPI (rather than by business cycles) where the peak to trough, or trough to peak, movement was greater than 5 percentage points (pp), together with the corresponding CPI response. Based on this method, the CPI responds to the IPPI, with a lag, in 10 of the 12 occurrences. These data demonstrate a weak predictive power of the IPPI, the CPI moving within its narrow target band. For the most part, the lags are quite short. For illustration, the IPPI dropped by 13.1 pp in the course of the financial crisis 2008/09 and reached its low in October 2009. The CPI reached its trough 2 months later, in December 2009, with a modest fall of 1.6 pp from its prior peak in November 2008. It bears noting that in some cycles, the CPI moves independently from the IPPI, particularly in the cycle that ended in 2015.


Table 1
Turning points in the IPPI
Table summary
This table displays the results of Turning points in the IPPI PPI, PPI movement trough-peak (percentage points), CPI movement trough-peak (percentage points) and Lag (months) (appearing as column headers).
PPI PPI movement trough-peak (percentage points) CPI movement trough-peak (percentage points) Lag (months)
Jan-90 trough -7.3 -1.3 6
Jan-93 peak 7.6 1.3 1
Nov-96 trough -11.6 -2 6
Nov-03 trough -5.9 -2.5 3
Jun-04 peak 8.9 0.5 1
Feb-08 trough -7.7 -1.5 1
Oct-08 peak 11.1 1.6 1
Oct-09 trough -13.1 -1.6 2
Aug-11 peak 9.8 1.6 1
Aug-12 trough -6.5 -1.7 5
Sep-15 peak 5.5 1.7 -8
Dec-20 peak 5.6 -0.9 -4

The results from VAR models (Granger causality) show that movements in the IPPI unidirectionally caused movements in the top-line CPI aggregates between 2000 and August 2021.Note The predictive relation held for the CPI excluding energy and the CPI goods excluding energy aggregate.Note Over the most recent ten-year period, the relation was however unusable for confident prediction because Granger causality was either absent or flowed bidirectionally.Note Results from the Granger tests are in Appendix “A”.

The results from the VAR models and the analysis of inflation cycles point in the same direction. There is a weak and variable predictive link, if any, between movements in the IPPI and later movements in the CPI.

Mid-level aggregates

At mid-level aggregates the extent of overlap of commodities sold and consumed between the IPPI and CPI increases conceptually. For example, there is a higher level of conceptual overlap within the coverage of automobiles in the CPI and IPPI, than there is within the total IPPI and CPI. From the higher conceptual overlap, however, does not necessarily follow that producer prices and consumer prices will show stronger correlations. One such instance can occur where the domestically produced items are a small subset of consumer purchases. For example, relatively few of the clothing items Canadians purchase are produced in Canada. The ones that are produced and purchased domestically might show quite different price movement compared to the imported items. Conversely, in markets where exports predominate, the IPPI reflects to a high extent prices received in foreign markets rather than the Canadian marketplace, such as automobiles. Finally, the IPPI and CPI in certain instances have quite different coverage, for example, the IPPI for furniture includes sales to all clients, not just consumers. Office furniture prices may move quite differently compared to consumer furniture.Note In short, the predictive power of the IPPI may be no stronger at the mid-aggregate level compared to the headline number, indeed, in some instances, it may be lower.

This study presents five mid-level aggregates available for the IPPI and CPI: food, passenger vehicles, furniture, household appliances and household cleaning products. The charts show the year-over-year price changes for the IPPI (in red) and the CPI (in blue). The table reports the Pearson correlation coefficient for various lag structures.

Chart 5

Data table for Chart 5 
Data table for Chart 5
Table summary
This table displays the results of Data table for Chart 5 CPI and IPPI, calculated using percent (12month change) units of measure (appearing as column headers).
CPI IPPI
percent (12month change)
2001
January 3.9 2.2
February 5.4 3.1
March 5.9 2.9
April 6.1 3.2
May 6.1 2.1
June 5.3 2.3
July 5.0 3.7
August 4.3 3.4
September 4.4 3.7
October 4.4 3.3
November 3.8 2.6
December 3.6 2.3
2002
January 4.9 2.3
February 4.6 2.1
March 3.2 1.8
April 3.3 0.3
May 1.6 0.3
June 1.9 0.1
July 1.5 0.4
August 1.8 0.4
September 1.5 1.0
October 1.1 2.2
November 2.8 2.7
December 2.1 3.7
2003
January 1.8 3.3
February 0.8 3.0
March 1.3 2.9
April 0.8 3.2
May 1.8 3.8
June 1.7 3.1
July 1.7 0.4
August 1.3 -0.5
September 1.6 0.6
October 1.9 -0.1
November 1.1 0.7
December 1.5 0.0
2004
January 0.4 -0.8
February 0.4 0.3
March 0.4 0.9
April 0.0 2.6
May 0.7 3.2
June 1.8 3.1
July 1.7 4.7
August 2.6 4.3
September 2.8 0.8
October 3.8 0.1
November 3.8 -1.9
December 3.1 -1.8
2005
January 2.5 -1.2
February 2.5 -1.9
March 2.8 -2.5
April 4.4 -4.1
May 3.5 -4.3
June 2.4 -4.7
July 2.2 -5.0
August 2.3 -3.2
September 1.7 -1.4
October 1.5 -1.0
November 0.8 0.4
December 1.0 0.4
2006
January 2.9 0.3
February 2.9 -0.7
March 2.1 -0.5
April 0.7 -0.5
May 1.2 -1.0
June 1.4 0.7
July 2.1 1.9
August 2.3 0.4
September 3.2 1.5
October 3.1 1.4
November 3.3 2.3
December 2.3 2.5
2007
January 2.2 3.2
February 4.7 4.8
March 4.4 4.8
April 4.5 5.2
May 4.0 5.1
June 3.4 4.2
July 2.7 3.2
August 2.0 3.7
September 1.3 3.0
October 0.6 2.2
November 0.6 1.6
December 1.1 2.4
2008
January 1.1 2.7
February -0.6 2.2
March -0.3 2.2
April 0.9 2.7
May 1.9 3.8
June 3.0 5.2
July 4.3 5.9
August 5.2 6.7
September 6.7 5.8
October 7.3 6.0
November 9.0 5.7
December 9.0 4.3
2009
January 8.6 4.0
February 8.9 3.1
March 9.5 3.3
April 8.3 3.3
May 7.4 1.9
June 6.4 0.7
July 5.6 -0.6
August 4.4 -0.9
September 2.7 -0.5
October 2.1 0.0
November 1.3 0.4
December 1.3 0.4
2010
January 0.9 -0.7
February 0.6 -1.0
March 0.7 -1.9
April 0.4 -2.0
May 0.2 -1.4
June 0.1 -1.6
July 0.6 -0.9
August 1.2 -0.2
September 2.2 1.5
October 2.1 2.8
November 1.0 2.9
December 1.4 3.8
2011
January 1.9 4.5
February 2.0 6.2
March 3.7 7.1
April 3.7 7.5
May 4.2 6.8
June 4.8 7.3
July 5.1 7.1
August 5.0 7.3
September 4.8 5.9
October 4.9 4.6
November 5.7 3.6
December 5.0 2.9
2012
January 4.9 3.0
February 4.7 2.3
March 2.0 2.6
April 2.4 2.1
May 2.5 2.5
June 1.8 3.0
July 1.9 3.5
August 2.2 3.1
September 1.4 3.3
October 1.9 2.9
November 1.5 3.3
December 1.2 3.2
2013
January 0.6 2.7
February 1.8 2.3
March 1.7 1.3
April 1.7 1.1
May 1.3 2.1
June 1.3 1.9
July 0.5 1.8
August 0.7 0.7
September 1.1 0.2
October 0.7 -0.1
November 1.1 -0.2
December 0.8 -0.2
2014
January 1.0 0.1
February 1.0 1.1
March 1.7 3.6
April 1.7 5.0
May 2.5 3.8
June 3.2 3.6
July 3.2 3.7
August 2.3 3.8
September 3.0 4.3
October 3.1 4.9
November 3.3 5.2
December 4.2 6.0
2015
January 5.4 6.4
February 4.3 5.3
March 4.2 2.8
April 4.0 1.2
May 4.1 2.3
June 3.6 2.6
July 3.5 2.7
August 4.0 3.7
September 3.9 3.4
October 4.6 3.4
November 3.7 2.4
December 4.1 1.3
2016
January 4.6 1.9
February 4.4 2.2
March 4.0 1.2
April 3.3 1.1
May 1.4 0.5
June 0.8 1.3
July 1.1 0.1
August 0.4 -1.6
September -0.9 -1.7
October -2.1 -1.3
November -2.0 -0.3
December -2.8 -0.5
2017
January -4.0 -0.8
February -4.1 -0.7
March -3.6 0.7
April -2.6 0.8
May -1.2 1.9
June -0.3 1.5
July -0.1 1.8
August 0.3 2.3
September 0.9 1.0
October 0.6 0.7
November 0.9 1.4
December 1.5 1.7
2018
January 1.6 1.2
February 1.4 0.4
March 0.5 0.2
April 0.7 0.3
May -0.5 -0.4
June 0.1 -1.0
July 0.1 -0.9
August 0.3 -1.1
September 0.6 0.4
October 1.1 1.6
November 1.4 0.6
December 2.5 0.9
2019
January 2.5 1.4
February 3.4 0.7
March 4.0 1.1
April 3.0 2.8
May 4.0 2.7
June 3.9 2.2
July 4.2 1.2
August 3.9 3.6
September 4.1 2.0
October 4.1 1.3
November 3.9 2.1
December 3.2 3.2
2020
January 3.8 3.0
February 2.4 3.5
March 2.4 4.0
April 4.0 4.5
May 3.5 8.0
June 3.0 5.1
July 2.4 3.0
August 1.6 1.4
September 1.3 5.0
October 2.3 5.2
November 1.6 4.2
December 0.5 2.4
2021
January 0.1 3.2
February 1.3 6.0
March 1.3 6.3
April 0.1 7.1
May 0.9 6.0
June 0.7 9.5
July 1.0 11.4
August 2.6 13.3
September 4.2 11.4
October 3.9 9.1

Chart 6

Data table for Chart 6 
Data table for Chart 6
Table summary
This table displays the results of Data table for Chart 6 CPI and IPPI, calculated using percent (12 month change) units of measure (appearing as column headers).
CPI IPPI
percent (12 month change)
2001
January -1.2 5.1
February -1.2 5.9
March -1.2 7.2
April 0.6 6.1
May 0.5 5.1
June 0.5 4.5
July 1.6 5.3
August 1.5 4.4
September 1.5 6.6
October 1.5 2.3
November -3.0 2.0
December -3.0 2.7
2002
January -1.0 5.1
February -1.0 3.4
March -1.0 1.3
April -0.8 0.6
May -0.8 -0.6
June -0.9 0.6
July -0.8 -1.4
August -0.7 0.6
September -0.7 0.2
October -0.7 1.4
November 2.0 -0.5
December 2.0 -0.5
2003
January 1.2 -3.5
February 1.2 -4.3
March 1.2 -6.0
April 0.1 -7.5
May 0.1 -10.0
June -1.4 -12.1
July -1.1 -7.9
August -1.9 -9.6
September -2.2 -12.4
October -2.8 -15.5
November -1.5 -16.6
December -2.3 -15.0
2004
January -0.8 -14.8
February -2.7 -11.9
March -2.3 -10.1
April -1.5 -7.1
May -1.2 -0.4
June 0.2 1.0
July 1.2 -5.1
August -0.5 -5.3
September -0.9 -5.7
October -1.2 -5.6
November 0.9 -7.6
December 2.7 -6.5
2005
January 1.2 -5.1
February 2.6 -6.2
March 1.4 -7.8
April 0.2 -7.4
May 0.5 -8.3
June 0.1 -8.2
July -1.7 -7.2
August 1.7 -7.8
September 2.3 -8.0
October 3.8 -5.5
November 2.7 -1.8
December 1.8 -5.2
2006
January 2.9 -6.1
February 3.2 -7.6
March 3.5 -5.4
April 3.4 -7.9
May 2.2 -11.6
June 1.6 -10.2
July 2.4 -8.1
August 0.8 -7.5
September 1.8 -5.7
October 1.3 -4.0
November -2.0 -4.4
December -1.9 -1.5
2007
January -1.4 0.8
February -1.0 1.1
March -1.1 0.2
April -1.2 -1.5
May -0.3 -2.1
June 0.5 -4.8
July -0.2 -7.2
August -1.3 -5.9
September -1.0 -8.5
October -2.5 -13.6
November -3.8 -14.0
December -4.0 -12.3
2008
January -4.9 -13.3
February -6.7 -13.7
March -7.1 -13.3
April -6.6 -9.9
May -8.3 -7.9
June -8.4 -4.0
July -8.9 -3.0
August -7.4 0.1
September -9.4 3.4
October -9.0 20.4
November -2.8 24.3
December -3.6 21.6
2009
January -8.2 19.9
February -6.5 23.4
March -7.5 24.8
April -8.3 19.7
May -6.6 14.4
June -5.2 10.5
July -4.3 10.8
August -4.7 3.6
September -5.9 2.6
October -4.1 -9.6
November -6.0 -11.2
December -3.3 -12.6
2010
January 3.1 -12.4
February 3.5 -13.3
March 3.9 -16.4
April 5.3 -14.8
May 5.1 -7.9
June 2.8 -6.1
July 1.7 -5.9
August 2.2 -3.1
September 5.0 -3.3
October 4.9 -2.1
November 3.9 -3.3
December 1.5 -3.2
2011
January 0.8 -2.5
February -0.9 -3.7
March 0.2 -2.7
April 0.0 -2.5
May 0.7 -4.2
June -3.1 -3.7
July -1.0 -5.3
August 0.3 -3.6
September 1.8 -1.6
October 2.5 0.7
November 1.8 1.4
December -0.2 1.3
2012
January 1.4 0.6
February 1.4 -0.1
March 2.2 0.7
April 3.4 1.7
May 1.7 2.5
June 3.9 3.0
July 2.3 3.9
August 2.0 0.5
September 0.2 -1.6
October 0.1 -2.4
November -1.8 -2.0
December -0.6 -2.3
2013
January -0.8 -1.7
February 2.5 -0.1
March 0.8 0.8
April -0.7 0.6
May -0.5 -0.5
June 2.0 -1.0
July 2.0 0.1
August 0.6 1.9
September 1.4 2.4
October 1.7 2.0
November 0.4 1.9
December 1.4 4.2
2014
January 0.9 5.7
February 0.3 6.0
March 1.5 5.6
April 1.5 4.9
May 2.0 4.0
June 1.6 3.6
July 1.3 2.1
August 2.9 3.4
September 0.5 4.5
October 0.9 5.3
November 1.3 5.7
December 1.6 5.5
2015
January 1.2 7.5
February -1.0 9.2
March 1.8 9.4
April 1.4 9.1
May 1.8 9.3
June 2.0 10.5
July 2.5 14.5
August 0.6 14.3
September 1.6 14.3
October 1.6 12.4
November 1.9 12.7
December 3.1 13.4
2016
January 4.0 12.5
February 5.0 7.8
March 3.2 4.1
April 4.6 3.1
May 4.3 4.2
June 5.6 2.8
July 5.4 0.9
August 5.2 -0.6
September 5.8 -0.8
October 4.4 0.7
November 3.0 0.7
December 2.6 -1.8
2017
January 3.8 -4.5
February 3.6 -3.3
March 2.1 1.0
April 0.9 3.3
May 0.2 2.9
June -0.2 1.5
July 0.2 -2.5
August 0.7 -2.6
September 1.0 -5.1
October 1.9 -4.6
November 3.6 -5.4
December 3.7 -4.7
2018
January 1.4 -4.6
February 2.5 -4.0
March 1.7 -6.0
April 1.8 -5.5
May 0.8 -5.6
June 1.8 -4.1
July 2.0 -0.5
August 2.3 -0.3
September 0.6 2.2
October 1.7 0.9
November 0.8 0.6
December 0.3 0.4
2019
January 1.3 0.4
February 1.4 0.5
March 3.0 1.4
April 2.7 0.7
May 4.2 1.1
June 3.0 1.1
July 2.8 0.8
August 2.9 0.9
September 3.4 0.8
October 1.8 1.1
November 2.9 1.4
December 1.4 1.5
2020
January 2.3 1.4
February 2.2 1.0
March 1.0 1.2
April 1.9 1.4
May 2.0 1.1
June 2.8 0.9
July 3.2 1.0
August 2.2 0.8
September 2.7 0.6
October 2.9 0.2
November 2.0 0.3
December 2.5 0.4
2021
January 2.9 0.9
February 2.8 1.0
March 3.5 0.7
April 3.4 0.7
May 5.0 0.6
June 4.1 1.1
July 5.5 1.0
August 7.2 1.4
September 7.2 1.6
October 6.1 1.6

Chart 7

Data table for Chart 7 
Data table for Chart 7
Table summary
This table displays the results of Data table for Chart 7 CPI and IPPI, calculated using percent (12 month change) units of measure (appearing as column headers).
CPI IPPI
percent (12 month change)
2001
January 0.1 1.4
February 0.0 1.6
March 0.1 1.8
April -1.6 1.6
May -1.6 1.6
June 0.5 1.7
July 0.5 1.6
August 0.5 1.6
September -1.0 1.6
October -2.8 1.7
November -2.9 1.7
December -1.4 1.7
2002
January -1.4 0.5
February -0.8 0.1
March -0.6 -0.1
April 1.1 -0.1
May 0.8 0.1
June -0.4 0.0
July -0.3 0.1
August -0.3 0.1
September -0.1 -0.1
October 1.2 -0.2
November 1.5 -0.2
December 1.0 -0.2
2003
January 1.0 0.3
February -0.5 0.6
March -0.8 0.6
April -0.2 0.6
May -0.1 0.3
June -1.5 0.4
July -1.6 0.5
August -1.6 0.5
September -1.7 0.7
October -0.9 0.7
November -1.0 0.6
December -1.5 0.6
2004
January -1.5 0.1
February -1.5 0.0
March -1.3 -0.1
April -0.5 0.1
May -0.6 0.2
June -2.5 0.3
July -2.6 0.2
August -2.6 0.3
September -1.8 0.4
October -2.8 1.0
November -2.8 1.3
December -3.2 1.3
2005
January -3.2 2.1
February -3.0 2.4
March -3.0 2.5
April -3.8 2.3
May -4.1 2.2
June -1.6 1.5
July -1.5 1.7
August -1.5 1.5
September -2.2 1.2
October -2.7 0.6
November -2.6 0.4
December -2.2 0.3
2006
January -2.2 0.1
February -2.4 -0.1
March -2.5 -0.4
April -2.6 -1.3
May -1.9 -1.4
June -2.1 -0.8
July -3.0 -0.9
August -3.0 0.0
September -3.4 0.3
October -2.4 0.3
November -2.3 1.0
December -3.1 1.1
2007
January -3.1 0.5
February -2.6 0.1
March -2.9 0.4
April -2.5 1.3
May -2.5 1.3
June -2.4 1.2
July -1.5 0.5
August -1.5 -0.3
September -1.1 -0.5
October -1.9 -0.7
November -2.0 -1.2
December -1.3 -1.1
2008
January -2.2 -1.0
February -1.3 -0.7
March -0.8 -0.7
April -1.3 -0.6
May -2.2 -0.5
June -4.2 -0.4
July -4.0 0.9
August -4.0 1.3
September -4.0 1.9
October -4.7 2.8
November -4.6 2.7
December -4.1 3.0
2009
January -3.3 3.2
February -2.2 3.6
March -2.1 3.5
April -0.9 3.6
May -0.2 3.2
June 2.2 3.2
July 2.0 2.2
August 2.0 2.1
September 0.9 1.6
October 1.4 0.8
November 1.5 0.9
December -1.2 0.5
2010
January -1.2 0.2
February -1.9 -0.2
March -2.3 -0.1
April -2.6 -0.2
May -3.1 0.0
June -2.1 0.0
July -2.1 0.2
August -2.1 0.0
September -2.4 -0.1
October -1.0 0.2
November -1.6 0.0
December -1.2 0.0
2011
January -0.9 0.0
February -0.4 -0.3
March -0.6 0.0
April -3.1 0.0
May -1.8 -1.5
June -1.8 -1.5
July -2.0 -1.2
August -2.0 -1.1
September -1.4 -1.1
October -0.7 -1.3
November -1.4 -1.3
December 2.2 -1.3
2012
January 2.1 -1.2
February 0.5 -0.9
March 0.7 -1.2
April 3.5 -1.2
May 3.1 0.6
June 1.6 1.6
July 1.6 1.1
August 1.6 1.0
September 1.7 1.1
October -0.2 1.1
November 1.5 1.2
December -2.3 1.2
2013
January -2.6 1.1
February -2.6 3.9
March -1.3 3.3
April -2.1 3.3
May -4.3 3.4
June -2.8 2.3
July -2.8 2.3
August -2.9 2.4
September -3.1 2.1
October -2.6 2.2
November -4.0 2.3
December -2.3 2.1
2014
January -2.3 2.2
February -0.7 -0.4
March -1.9 0.2
April -3.0 0.2
May -1.3 1.0
June -1.0 1.0
July -0.8 0.3
August -0.8 0.2
September 0.4 0.5
October 0.4 0.5
November 1.3 0.3
December 2.0 0.6
2015
January 2.0 0.6
February 1.4 1.4
March 2.0 1.5
April 4.2 1.4
May 4.1 0.4
June 3.8 2.1
July 3.8 3.0
August 4.7 3.1
September 5.3 3.0
October 7.2 2.9
November 4.8 2.9
December 3.5 2.8
2016
January 5.2 3.1
February 5.5 4.7
March 5.4 4.4
April 4.7 4.4
May 4.1 4.4
June 4.7 2.6
July 3.4 2.8
August 3.8 2.7
September 0.8 2.7
October -0.7 2.7
November 0.8 2.8
December 0.7 2.6
2017
January -0.9 2.2
February -0.5 -0.2
March 0.4 -2.2
April -1.2 -0.5
May -2.1 -3.5
June -3.3 -0.7
July -2.0 -0.9
August -3.0 -1.0
September -0.8 -1.4
October -0.9 2.0
November -1.2 -0.5
December -1.3 -0.8
2018
January -1.3 1.2
February -1.9 -0.4
March -1.3 1.7
April 0.3 2.7
May 0.3 6.1
June 0.6 3.1
July 0.3 -1.9
August 0.1 -1.1
September -0.3 -0.7
October -0.6 -3.6
November -0.2 -1.1
December -2.2 -0.6
2019
January -2.2 -2.7
February 0.1 -1.1
March -0.7 -6.7
April -1.6 -9.4
May -0.5 -9.5
June -0.3 -9.6
July -0.1 -4.9
August -0.9 -5.4
September -0.1 -5.5
October -1.1 -6.0
November -1.3 -6.0
December -0.1 -6.2
2020
January -0.1 -5.5
February -2.8 -4.2
March -2.0 2.2
April -0.6 1.3
May -0.2 3.6
June 0.0 7.4
July 0.2 12.1
August 2.1 7.8
September 1.7 9.3
October 3.0 8.6
November 2.9 7.5
December 3.4 9.1
2021
January 3.4 6.9
February 6.1 7.5
March 5.6 6.3
April 5.4 7.9
May 4.2 3.5
June 5.2 3.3
July 5.0 3.1
August 5.3 2.8
September 5.5 4.2
October 5.5 8.9

Chart 8

Data table for Chart 8 
Data table for Chart 8
Table summary
This table displays the results of Data table for Chart 8 CPI and IPPI, calculated using percent (12 month change) units of measure (appearing as column headers).
CPI IPPI
percent (12 month change)
2001
January 0.2 1.5
February -1.4 1.5
March -1.4 1.6
April 1.9 1.6
May 1.8 1.5
June -1.0 1.9
July -1.4 1.9
August -1.4 1.6
September 2.4 1.5
October 0.3 1.5
November 0.3 1.6
December 2.5 1.8
2002
January 2.5 1.3
February 0.8 1.2
March 0.9 0.9
April 1.2 0.8
May 0.8 0.8
June 2.6 0.4
July 3.1 0.3
August 3.1 0.5
September -2.2 0.5
October -0.1 1.1
November -0.1 1.2
December -1.2 0.9
2003
January -1.2 0.9
February 1.3 0.9
March 1.2 0.9
April -0.5 1.1
May -0.5 0.9
June -0.9 0.8
July -0.8 1.7
August -0.8 1.6
September 1.6 1.8
October 0.9 1.4
November 0.9 1.3
December 0.7 1.3
2004
January 0.7 1.7
February -0.8 1.6
March -0.8 2.0
April 0.0 1.8
May 0.0 2.4
June -0.7 2.8
July -1.5 2.0
August -1.5 2.3
September -0.4 2.1
October -1.0 1.9
November -1.0 2.7
December 0.3 2.8
2005
January 0.3 3.0
February -0.5 3.1
March -0.5 2.4
April -3.0 2.4
May -2.3 2.8
June 1.3 2.9
July 1.6 2.8
August 1.6 2.7
September 0.8 2.4
October 0.2 3.2
November 0.2 2.5
December 0.1 3.0
2006
January 0.1 3.3
February 0.4 3.3
March 0.4 3.5
April 1.2 3.9
May 0.8 3.1
June -1.6 2.7
July -2.6 3.2
August -2.6 3.1
September -4.5 3.5
October -4.2 2.8
November -4.2 2.8
December -2.8 2.3
2007
January -2.8 1.7
February -1.5 1.7
March -1.5 1.8
April -1.3 1.7
May -0.8 1.8
June -0.2 1.7
July 1.2 1.3
August 1.2 1.3
September 1.0 1.2
October -0.1 1.2
November -0.1 1.1
December 0.3 1.1
2008
January -0.5 1.9
February -3.2 2.0
March -3.2 1.9
April -1.4 2.0
May -1.9 2.5
June -2.6 2.7
July -3.3 3.4
August -3.3 3.6
September 0.3 3.6
October -0.5 3.8
November -0.5 3.8
December -2.9 3.7
2009
January -2.1 3.3
February 1.8 3.4
March 1.8 3.3
April 3.0 2.9
May 3.1 2.2
June 0.3 2.0
July -0.3 1.3
August -0.3 0.9
September -0.8 0.8
October 2.2 0.5
November 2.2 0.5
December -2.6 0.5
2010
January -2.6 -0.3
February -4.2 -0.5
March -4.2 -0.5
April -4.9 -0.5
May -4.3 -0.2
June -2.2 -0.1
July -1.5 -0.3
August -1.5 -0.5
September -1.6 -0.3
October -2.9 -0.2
November -2.9 -0.1
December 1.3 -0.1
2011
January 1.5 0.5
February 2.4 0.3
March 2.4 0.2
April -3.6 0.1
May -3.7 0.0
June -2.9 0.0
July -2.7 0.1
August -2.7 0.3
September -5.2 0.5
October -2.1 0.5
November -2.1 0.3
December -3.6 0.3
2012
January -3.6 0.5
February -4.9 0.7
March -4.9 0.9
April -2.2 1.0
May -2.2 1.0
June -2.8 1.0
July -3.0 1.4
August -3.0 1.2
September 0.7 1.1
October 0.5 1.0
November 0.5 1.1
December 1.2 1.1
2013
January 1.0 0.3
February 1.1 -0.1
March 1.1 0.2
April 0.3 0.3
May -0.2 0.2
June 3.6 0.1
July 3.7 -0.2
August 3.6 -0.1
September 1.9 0.1
October 1.1 0.3
November 1.1 0.2
December 0.2 0.2
2014
January 0.2 1.1
February 1.5 1.5
March 1.5 1.5
April -0.2 1.5
May -0.6 1.6
June -2.2 1.7
July -2.3 1.7
August -2.4 1.8
September -4.1 1.5
October -2.9 1.5
November -2.9 1.8
December -1.5 1.7
2015
January -1.5 1.4
February 0.1 1.4
March 0.1 1.2
April 6.3 1.4
May 6.3 1.7
June 4.7 1.9
July 6.2 2.3
August 5.4 2.2
September 4.9 2.8
October 2.4 2.5
November 1.7 2.3
December 0.6 2.7
2016
January 1.8 2.6
February -1.0 2.6
March 0.4 2.8
April -0.1 2.5
May 1.0 2.3
June 1.3 2.2
July 0.4 1.7
August 1.6 1.8
September 1.6 1.5
October 1.8 1.7
November 2.4 2.4
December 4.8 1.6
2017
January 1.1 1.2
February 0.5 1.0
March -1.4 0.8
April -1.7 1.5
May -1.6 1.6
June -2.1 1.9
July -2.9 2.0
August -2.7 2.0
September -3.3 2.0
October -3.1 2.0
November -1.1 1.9
December -1.1 2.3
2018
January -1.8 2.2
February -1.8 2.2
March -1.4 2.5
April -2.5 3.0
May -2.2 3.0
June -2.5 2.8
July -1.4 3.0
August -1.8 3.1
September 0.1 3.1
October 0.1 3.3
November -2.1 3.0
December -2.1 2.8
2019
January -0.2 3.0
February -0.2 3.1
March 0.1 2.8
April 0.9 1.5
May -0.5 1.8
June -0.3 1.5
July -1.7 1.2
August -1.9 0.9
September -1.1 1.2
October -1.1 0.8
November 0.0 0.6
December 0.0 0.8
2020
January -1.4 0.1
February -1.4 1.6
March -0.4 2.1
April -0.4 2.3
May -3.7 1.6
June -3.5 1.3
July 0.9 2.0
August 0.8 1.6
September 0.9 2.0
October 0.9 1.9
November 2.8 1.7
December 2.8 2.3
2021
January 4.7 3.2
February 4.7 1.9
March 5.8 2.6
April 5.1 3.7
May 9.8 4.2
June 9.7 5.4
July 8.4 5.3
August 8.7 6.5
September 6.7 5.9
October 6.7 6.7

Chart 9

Data table for Chart 9 
Data table for Chart 9
Table summary
This table displays the results of Data table for Chart 9 CPI and IPPI, calculated using percent (12 month change) units of measure (appearing as column headers).
CPI IPPI
percent (12 month change)
2001
January 0.833333 1.893939
February 0.519751 2.395965
March 1.570681 1.503759
April 1.148225 1.877347
May 1.348548 0.869565
June 2.180685 0.743494
July 2.484472 0.493827
August 2.694301 0.867410
September 3.020833 0.123457
October 3.746098 1.111111
November 3.437500 0.370370
December 3.092784 1.602959
2002
January 2.685950 1.363073
February 3.102378 1.354680
March 2.577320 1.975309
April 2.167183 1.842752
May 2.354145 1.600985
June 1.626016 1.353014
July 1.515152 1.842752
August 1.210898 2.211302
September 1.112235 2.096178
October -0.100301 1.221001
November 1.107754 1.353014
December 1.700000 0.364078
2003
January 1.408451 0.977995
February 1.103310 0.972053
March 1.507538 0.847458
April 1.414141 1.085645
May 0.500000 0.969697
June 0.200000 2.548544
July -0.497512 1.206273
August -0.099701 0.480769
September 0.800000 1.932367
October 0.301205 0.844391
November -0.099602 0.970874
December 0.098328 2.781137
2004
January -0.297619 1.452785
February -0.297619 0.240674
March -1.089109 0.960384
April -0.199203 0.000000
May -0.597015 0.600240
June 0.299401 -0.355030
July 0.100000 1.072706
August -0.099800 1.913876
September -0.793651 0.118483
October -0.100100 1.435407
November 0.199402 1.923077
December -0.982318 -1.294118
2005
January -0.099502 0.715990
February 0.497512 2.280912
March 0.500501 0.832342
April 0.698603 1.073986
May 0.800801 0.835322
June 0.398010 0.593824
July 0.899101 1.179245
August 1.098901 0.469484
September 1.300000 0.710059
October 1.603206 1.415094
November 1.293532 0.471698
December 1.289683 1.072706
2006
January 2.091633 2.132701
February 0.792079 0.938967
March 1.593625 2.004717
April 2.378593 1.534829
May 2.184707 0.828402
June 2.576809 1.298701
July 1.980198 0.815851
August 1.778656 -0.233645
September 1.875617 1.175088
October 2.071006 0.581395
November 2.161100 0.704225
December 1.371205 1.650943
2007
January 1.463415 1.044084
February 2.357564 0.581395
March 2.058824 0.578035
April 0.677638 0.813953
May 0.971817 1.877934
June 1.062802 1.165501
July 1.067961 0.578035
August 0.970874 1.053864
September 0.968992 1.277584
October 1.062802 0.000000
November -0.096154 1.398601
December 0.869565 0.812065
2008
January -0.673077 0.918485
February -1.055662 1.965318
March -0.288184 1.149425
April -0.192308 1.038062
May 0.673725 2.880184
June -0.095602 0.921659
July 0.576369 2.528736
August 1.153846 3.244496
September 0.767754 2.178899
October 1.720841 3.468208
November 4.716073 2.643678
December 5.076628 3.107020
2009
January 6.292352 2.389078
February 6.498545 0.907029
March 6.454721 1.590909
April 6.840077 2.397260
May 5.736138 0.783875
June 5.071770 1.598174
July 4.489016 0.448430
August 3.897338 1.346801
September 3.428571 -0.448934
October 1.503759 -0.558659
November -0.735294 0.671892
December -0.729262 -1.227679
2010
January -1.457195 -1.333333
February -2.003643 -0.112360
March -3.529412 0.111857
April -4.057710 -1.337793
May -3.978300 -0.111111
June -3.278689 0.000000
July -2.559415 -1.227679
August -3.110704 -1.993355
September -1.841621 -0.225479
October -2.129630 0.224719
November -1.666667 -1.557286
December -2.203857 -0.338983
2011
January -1.016636 -0.675676
February -1.579926 -0.337458
March -0.750469 -1.005587
April 1.033835 0.112994
May 1.694915 0.444939
June 1.035782 -0.112360
July 1.313321 1.581921
August 2.927290 2.146893
September 1.219512 1.920904
October 3.405866 -0.112108
November 2.919021 0.564972
December 2.253521 0.566893
2012
January 2.427638 0.453515
February 3.871577 -0.225734
March 3.497164 0.112867
April 2.046512 0.112867
May 1.296296 -1.550388
June 2.050326 0.000000
July 2.407407 -0.667408
August 1.376147 -1.327434
September 2.502317 -1.441242
October 1.738335 -0.224467
November 1.738335 0.000000
December 1.928375 0.338219
2013
January 0.729262 0.790068
February 0.090909 1.470588
March 1.095890 1.240135
April 1.823154 1.127396
May 1.919561 0.899888
June 1.095890 1.462317
July 0.361664 1.679731
August 0.000000 1.793722
September -0.180832 1.912261
October -0.449640 1.912261
November -0.269784 2.022472
December 0.270270 2.359551
2014
January 0.090498 2.911534
February 0.635786 2.675585
March 0.632340 2.672606
April -0.805730 2.564103
May -0.538117 2.341137
June 0.813008 1.773836
July 0.090090 1.211454
August 0.995475 1.541850
September 0.452899 1.986755
October 0.271003 2.428256
November 0.631199 2.312775
December 0.898473 2.963776
2015
January 1.717902 3.046790
February 1.083032 3.474484
March 0.897666 3.579176
April 1.263538 3.369565
May 1.352570 3.376906
June 0.716846 3.485839
July 0.450045 4.570185
August 1.523297 4.772234
September 1.172227 4.761905
October 1.801802 3.987069
November 1.075269 4.305705
December 0.267142 4.051173
2016
January 0.622222 3.695882
February 1.428571 2.728227
March 1.334520 1.570681
April 0.445633 1.366982
May 0.266904 1.896733
June 0.355872 1.578947
July 1.523297 0.728408
August 0.706090 0.517598
September -1.158645 0.516529
October -1.415929 0.829016
November -1.329787 0.825593
December -1.332149 0.512295
2017
January -2.561837 -0.610998
February -2.200704 -0.510725
March -1.404741 1.237113
April 0.000000 1.659751
May -0.088731 1.758014
June 1.241135 1.036269
July 0.617829 -1.342975
August -0.175285 -1.853759
September 0.901713 -2.980473
October 1.885099 -2.774923
November 1.886792 -2.763562
December 2.880288 -3.160041
2018
January 3.354488 -2.766393
February 3.150315 -2.156057
March 0.801425 -1.629328
April 0.887311 -1.836735
May 0.799290 -1.829268
June -0.612960 0.923077
July -0.438596 3.455497
August -0.087796 3.357817
September 0.178731 4.449153
October 0.352423 4.122622
November 1.763668 4.315789
December 1.399825 5.052632
2019
January 2.368421 5.057956
February 2.268761 4.512067
March 2.826855 3.519669
April 2.990325 4.054054
May 3.524229 3.830228
June 4.933921 1.524390
July 5.462555 0.607287
August 4.920914 1.624365
September 7.582516 1.419878
October 4.741001 1.421320
November 3.812825 1.009082
December 2.588438 0.100200
2020
January 2.399314 0.300903
February 2.645051 1.004016
March 2.319588 2.200000
April 6.404782 2.797203
May 6.978723 2.293121
June 4.366079 1.701702
July 3.425230 0.905433
August 3.685092 -0.399600
September 1.409619 0.700000
October 5.783738 0.700701
November 4.257095 0.999001
December 5.046257 0.700701
2021
January 3.849372 0.200000
February 2.909393 -0.298211
March 3.694374 -1.859100
April -1.123596 -2.721088
May -1.511535 -2.046784
June 0.402253 -1.870079
July 0.323102 0.897308
August -0.969305 1.905717
September -0.245298 0.794439
October -0.950872 0.695825

Table 2
Table summary
This table displays the results of Table 2 Pearson correlation (PPI lagged on CPI) (appearing as column headers).
Pearson correlation (PPI lagged on CPI)
0 months 1m 2m 3m
Food 0.40 0.32 0.23 0.14
Passenger vehicles -0.07 -0.09 -0.10 -0.11
Household appliances 0.32 0.29 0.25 0.22
Cleaning products 0.12 0.03 -0.01 -0.06
Furniture 0.05 0.02 0 -0.01

Visual inspection of the graph for food shows that a correlation between cycles in the IPPI and the CPI exists in a majority of the periods. The correlation, however, is variable in its lag and extent, and is absent in some periods.Note The remaining aggregates show visually and statistically negligible correlation.

The conclusion from the mid-level aggregates is that the predictive power of producer prices on consumer prices has been low to non-existent, except possibly for food, where a weak predictive link exists. The fact that contemporaneous correlations are stronger than lagged correlations (Table 2) is indicative that both producer prices and consumer prices respond to external factors, rather than to each other. Overall, the results from the mid-level aggregates point in the same direction as those from the top-line aggregates.

Low level aggregates

The method starts by identifying, at the lowest level of aggregation, commodities that are closely related in their IPPI and CPI definitions. Twenty such commodities were identified and the graphs show representative results for nine of those (for space reasons).Note An example is butter. In the IPPI, fresh packaged butter as it leaves the creamery is identified by NAPCS 173121. When the producer price for fresh butter changes, a pass-through effect would be expected to show up in consumer prices. The pass-through effect will not be perfect, as margins related to transportation costs, wholesale, retail and taxes can buffer the effects before reaching the grocery store shelves. A visual inspection of the graphs however shows substantially different price indices corresponding to each IPPI/CPI pair for a majority of the commodities.

VAR modelling showed the presence of a predictive short-term link in some commodities; however, where the results were statistically reliable, the effect was muted. For example, after a percentage point increase in the price of pork on the producer side, consumer prices on average increased by 0.078 percentage points one month later. The magnitude of response did not increase after and the cumulative response remained at 0.071 percentage points twelve months after the initial increase in producer prices. In other cases, such as butter, the initial response to an increase in producer prices on consumer prices was higher, (0.49 percentage point after one month), but was not persistent. In the case of butter, after twelve months, the cumulative response was reduced to a muted 0.11 percentage point response.

Similarly, Granger causality was generally absent. A particularly striking finding was that no relation was found between some closely related food items. The primary ingredient in making bread is flour. Granger causality between the IPPI for flour and the IPPI for bread was tested, and none found. Likewise, there was no Granger causality between the IPPI price of bread and the CPI price of bread.

These observations are consistent with evidence from the graphical representations above and are consistent with the findings from the intermediate-level and top-level aggregates.

Chart 10

Data table for Chart 10 
Data table for Chart 10
Table summary
This table displays the results of Data table for Chart 10 CPI and IPPI, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
CPI IPPI
Index Jan 2000=100
2000
January 100.0 100.0
February 100.1 100.0
March 100.3 100.0
April 100.3 100.0
May 100.4 100.0
June 100.5 100.0
July 101.9 100.0
August 103.3 100.0
September 105.1 100.0
October 105.4 100.0
November 105.9 100.0
December 105.9 100.0
2001
January 106.0 100.2
February 106.1 99.8
March 106.1 99.9
April 106.3 100.1
May 106.3 99.9
June 106.5 99.9
July 106.7 101.3
August 106.8 101.2
September 106.7 101.2
October 106.8 101.2
November 106.9 101.3
December 106.9 101.3
2002
January 107.0 104.6
February 107.0 104.7
March 107.1 104.8
April 107.4 104.9
May 107.5 104.9
June 107.5 104.9
July 107.6 104.3
August 107.7 104.4
September 107.7 104.4
October 107.7 104.4
November 107.8 104.4
December 108.1 104.4
2003
January 108.3 105.2
February 108.4 105.3
March 108.5 105.3
April 108.5 105.5
May 108.6 105.4
June 108.5 105.8
July 108.6 106.0
August 106.9 106.0
September 106.9 106.0
October 107.0 106.1
November 107.1 106.1
December 107.1 106.1
2004
January 107.2 106.2
February 107.3 106.3
March 107.3 106.4
April 107.2 106.4
May 107.1 106.4
June 107.1 106.4
July 107.0 106.9
August 107.0 106.9
September 107.1 106.9
October 107.3 106.9
November 107.4 106.9
December 107.6 106.9
2005
January 107.7 107.2
February 108.1 107.3
March 108.4 107.3
April 108.3 107.4
May 108.4 107.5
June 108.3 107.5
July 108.8 107.7
August 108.8 107.7
September 108.7 107.7
October 109.0 107.7
November 109.0 107.7
December 109.1 107.9
2006
January 109.2 109.9
February 108.9 110.3
March 108.8 110.4
April 108.8 110.6
May 108.9 110.6
June 109.1 110.7
July 109.2 110.7
August 108.8 110.7
September 108.5 110.7
October 108.4 110.7
November 108.5 110.7
December 108.6 110.7
2007
January 108.7 110.8
February 108.9 111.0
March 108.5 111.0
April 108.6 111.0
May 109.1 111.0
June 109.2 111.0
July 109.4 111.5
August 109.4 111.6
September 109.2 111.6
October 109.2 111.6
November 109.6 111.6
December 109.0 111.6
2008
January 108.8 112.0
February 108.4 112.1
March 108.4 112.1
April 108.2 113.0
May 108.5 113.0
June 108.8 113.0
July 108.9 113.1
August 108.9 113.1
September 108.8 113.1
October 108.7 113.1
November 108.7 113.1
December 108.7 113.1
2009
January 108.9 113.5
February 109.1 113.6
March 108.6 113.6
April 108.5 114.6
May 110.1 114.6
June 111.7 114.6
July 112.3 115.0
August 112.9 115.0
September 113.2 115.0
October 113.0 115.6
November 113.3 115.6
December 113.0 115.7
2010
January 112.3 116.0
February 110.4 115.9
March 108.5 116.0
April 109.2 116.4
May 109.7 116.3
June 110.0 116.4
July 109.4 116.4
August 108.5 116.5
September 107.7 116.5
October 107.0 116.5
November 106.8 116.5
December 106.7 116.5
2011
January 106.3 116.7
February 106.2 117.0
March 106.1 116.9
April 105.9 117.9
May 105.3 117.9
June 104.9 117.9
July 104.3 117.9
August 104.3 117.9
September 104.1 118.0
October 104.1 117.9
November 104.1 117.6
December 104.1 117.5
2012
January 103.9 117.7
February 104.0 117.6
March 103.9 117.7
April 103.3 118.2
May 102.3 118.2
June 101.4 118.1
July 101.2 117.9
August 101.0 117.8
September 101.0 117.2
October 100.6 117.0
November 100.5 117.0
December 100.5 117.0
2013
January 100.4 117.3
February 100.4 117.4
March 100.5 117.2
April 99.6 117.6
May 97.8 117.7
June 97.2 117.5
July 96.8 117.9
August 96.8 117.9
September 96.8 117.9
October 96.7 117.9
November 96.7 118.0
December 96.7 118.5
2014
January 96.7 118.8
February 96.6 118.8
March 96.6 118.7
April 96.3 119.2
May 96.5 118.6
June 96.1 118.6
July 96.3 118.4
August 96.3 118.4
September 96.3 118.6
October 96.5 118.6
November 96.5 118.5
December 96.5 118.7
2015
January 96.5 119.0
February 96.5 119.1
March 96.5 119.2
April 96.3 119.4
May 96.5 119.2
June 96.1 119.5
July 96.0 119.5
August 96.0 119.6
September 96.0 119.5
October 96.0 119.5
November 96.0 119.6
December 95.8 120.1
2016
January 95.7 121.0
February 95.8 120.8
March 95.7 120.7
April 95.7 122.0
May 95.9 121.8
June 95.4 121.6
July 95.5 121.6
August 95.6 121.6
September 95.9 121.7
October 96.1 121.7
November 96.3 121.8
December 96.5 121.8
2017
January 96.5 122.0
February 96.5 122.0
March 96.5 122.1
April 96.3 122.4
May 96.1 122.5
June 95.8 122.3
July 95.9 122.2
August 95.8 122.2
September 95.8 122.1
October 95.8 122.1
November 95.7 122.2
December 95.6 122.2
2018
January 95.6 122.2
February 95.7 122.2
March 95.7 122.4
April 94.9 119.3
May 93.5 119.4
June 93.3 119.3
July 93.2 119.3
August 93.2 119.3
September 93.0 119.3
October 92.8 119.3
November 92.8 119.3
December 92.9 119.4
2019
January 92.8 119.3
February 92.8 119.3
March 92.9 119.6
April 92.9 120.4
May 93.1 120.4
June 93.2 120.4
July 93.3 120.3
August 93.3 120.5
September 93.4 120.5
October 93.4 120.5
November 93.5 120.4
December 93.5 120.3
2020
January 93.5 120.2
February 93.5 120.4
March 93.5 120.9
April 93.9 121.1
May 93.8 121.0
June 93.9 120.4
July 94.0 121.2
August 94.0 120.9
September 94.0 120.9
October 94.0 120.2
November 94.0 120.0
December 94.0 119.7
2021
January 94.0 119.6
February 94.0 121.3
March 94.0 120.8
April 94.1 120.2
May 94.4 123.9
June 94.5 124.1
July 94.5 124.7
August 94.5 124.5
September 94.5 124.5
October 94.5 124.4

Chart 11

Data table for Chart 11 
Data table for Chart 11
Table summary
This table displays the results of Data table for Chart 11 CPI and IPPI, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
CPI IPPI
Index Jan 2000=100
2000
January 100.0 100.0
February 98.2 99.4
March 100.3 97.7
April 99.4 97.7
May 100.2 97.7
June 100.0 97.7
July 100.5 103.4
August 100.2 99.4
September 103.1 100.6
October 99.9 102.4
November 101.9 101.0
December 101.3 101.0
2001
January 104.4 100.6
February 102.7 101.1
March 103.3 100.4
April 100.9 100.4
May 102.8 100.4
June 104.4 100.4
July 104.1 100.4
August 101.7 100.4
September 103.5 99.8
October 102.6 99.9
November 104.8 99.5
December 104.3 99.2
2002
January 106.1 98.8
February 104.7 99.6
March 108.0 99.6
April 107.0 99.1
May 106.0 98.4
June 105.0 100.2
July 105.5 102.3
August 105.6 99.5
September 106.6 98.0
October 106.2 97.4
November 107.5 98.7
December 107.1 100.0
2003
January 109.0 99.9
February 108.3 100.0
March 109.7 100.5
April 107.1 102.2
May 108.0 102.1
June 108.8 102.0
July 106.8 102.3
August 108.1 101.5
September 108.6 101.5
October 108.1 103.7
November 110.6 102.8
December 110.0 103.5
2004
January 111.6 103.2
February 110.7 103.3
March 111.5 103.7
April 109.5 107.1
May 111.5 104.3
June 111.2 104.9
July 111.3 106.3
August 111.7 104.6
September 112.4 107.0
October 110.2 106.9
November 111.6 106.7
December 110.1 107.0
2005
January 115.1 106.7
February 114.7 107.3
March 115.2 108.2
April 118.0 108.8
May 115.8 109.9
June 117.0 107.2
July 114.8 110.5
August 117.1 110.5
September 117.7 110.5
October 112.1 110.5
November 118.9 110.5
December 117.0 110.5
2006
January 118.8 110.5
February 118.9 111.2
March 119.7 111.2
April 119.3 111.9
May 120.9 111.9
June 119.9 111.9
July 118.8 111.9
August 119.8 111.9
September 124.7 111.9
October 118.7 110.3
November 122.7 110.3
December 120.2 110.3
2007
January 123.1 110.3
February 123.0 110.3
March 121.9 110.3
April 121.7 111.9
May 125.6 111.9
June 125.0 113.1
July 123.0 113.8
August 122.7 113.8
September 125.9 113.8
October 122.7 113.8
November 125.0 113.8
December 128.6 113.8
2008
January 130.0 113.8
February 128.2 113.8
March 124.9 115.1
April 129.1 117.4
May 130.2 117.4
June 130.2 117.4
July 127.9 117.4
August 128.3 117.4
September 130.8 117.4
October 129.8 118.4
November 133.2 118.4
December 131.9 118.4
2009
January 138.8 118.4
February 137.6 118.4
March 138.8 119.5
April 133.6 119.5
May 135.1 119.5
June 137.8 119.5
July 136.3 119.5
August 134.5 119.5
September 137.4 119.5
October 136.5 119.5
November 137.3 121.9
December 139.5 121.9
2010
January 141.8 121.9
February 140.8 121.9
March 138.4 121.9
April 136.7 121.9
May 140.3 121.9
June 138.3 121.9
July 138.8 121.9
August 141.3 121.9
September 141.6 121.9
October 140.3 121.9
November 141.7 120.8
December 140.1 120.8
2011
January 142.8 120.8
February 143.0 120.8
March 145.0 121.7
April 142.5 124.8
May 143.3 126.5
June 139.1 126.5
July 139.1 126.5
August 142.2 126.5
September 142.8 126.5
October 143.9 126.5
November 144.3 126.9
December 141.7 126.9
2012
January 145.9 126.9
February 145.5 127.7
March 145.0 127.7
April 143.8 127.7
May 147.5 127.7
June 146.2 127.7
July 146.8 131.4
August 146.5 131.4
September 145.1 132.7
October 144.8 132.7
November 149.1 132.7
December 144.6 132.7
2013
January 147.7 132.7
February 149.0 132.7
March 145.4 132.7
April 144.7 132.7
May 147.1 132.7
June 144.8 132.7
July 140.2 132.7
August 146.2 132.7
September 141.8 132.7
October 144.4 132.7
November 144.6 132.7
December 141.4 132.7
2014
January 144.1 132.7
February 145.2 132.7
March 144.5 132.7
April 139.2 132.7
May 140.3 132.7
June 138.4 132.7
July 137.0 132.7
August 141.4 132.7
September 140.1 132.7
October 138.2 132.7
November 137.3 132.7
December 138.6 132.7
2015
January 141.9 132.7
February 141.4 132.7
March 139.5 132.7
April 140.1 132.7
May 139.3 132.7
June 137.6 132.7
July 135.2 132.7
August 134.4 132.7
September 137.3 132.7
October 139.2 132.7
November 134.3 132.7
December 135.0 132.7
2016
January 136.6 132.7
February 138.2 132.7
March 135.9 132.7
April 136.5 132.7
May 135.5 132.7
June 131.0 132.7
July 133.5 132.7
August 135.1 132.7
September 131.2 132.7
October 133.2 132.7
November 131.7 132.7
December 133.0 132.7
2017
January 138.0 135.0
February 137.3 135.0
March 133.5 135.0
April 132.4 136.5
May 134.6 136.5
June 130.5 134.2
July 131.2 133.3
August 131.2 133.3
September 130.5 133.2
October 130.5 133.2
November 132.4 133.2
December 133.0 133.2
2018
January 135.5 133.2
February 136.0 133.2
March 138.0 130.8
April 133.7 130.8
May 131.3 130.8
June 127.5 130.8
July 127.2 130.8
August 128.7 130.8
September 127.2 146.1
October 130.0 146.1
November 130.6 146.1
December 132.0 153.3
2019
January 134.8 153.3
February 135.5 153.3
March 136.1 153.3
April 136.2 153.3
May 134.0 153.3
June 127.9 153.3
July 129.9 153.3
August 129.9 153.3
September 134.4 153.3
October 135.8 153.3
November 133.9 153.3
December 135.2 153.3
2020
January 138.0 153.3
February 135.7 153.3
March 142.2 153.3
April 137.4 153.3
May 145.0 153.3
June 141.0 153.3
July 141.9 153.3
August 140.5 153.3
September 142.8 153.3
October 141.0 153.3
November 140.4 153.3
December 135.8 153.3
2021
January 139.9 153.3
February 141.7 153.3
March 140.2 149.7
April 138.5 149.7
May 143.0 149.7
June 136.0 150.0
July 137.5 150.0
August 135.8 150.0
September 145.4 150.0
October 140.4 150.0

Chart 12

Data table for Chart 12 
Data table for Chart 12
Table summary
This table displays the results of Data table for Chart 12 CPI and IPPI, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
CPI IPPI
Index Jan 2000=100
2011
January 100.0 100.0
February 100.5 101.3
March 102.3 102.3
April 100.7 102.7
May 101.8 102.7
June 102.5 102.7
July 101.2 102.7
August 100.5 103.0
September 101.8 103.0
October 102.1 103.0
November 101.0 103.0
December 100.2 102.9
2012
January 99.3 102.9
February 101.3 103.5
March 102.8 104.5
April 101.1 105.0
May 101.2 104.9
June 100.9 105.0
July 101.4 105.0
August 102.0 104.9
September 101.8 105.0
October 100.4 105.0
November 101.2 105.0
December 100.9 105.1
2013
January 99.5 105.1
February 102.5 105.1
March 101.4 105.1
April 101.8 105.7
May 100.8 106.2
June 99.5 106.2
July 101.5 106.2
August 102.4 106.2
September 100.2 106.2
October 99.4 106.2
November 100.2 106.2
December 98.9 106.6
2014
January 99.8 106.6
February 100.2 107.4
March 99.9 107.9
April 100.4 107.9
May 100.1 107.9
June 100.3 107.9
July 100.3 107.9
August 100.5 107.9
September 102.3 107.9
October 100.6 107.9
November 103.8 107.9
December 103.2 107.9
2015
January 101.3 107.9
February 103.2 107.9
March 102.4 107.9
April 100.7 107.9
May 102.5 107.9
June 104.5 108.5
July 102.5 108.6
August 101.6 108.6
September 101.2 108.6
October 103.3 108.6
November 103.1 108.6
December 101.9 108.6
2016
January 101.4 108.6
February 101.8 109.3
March 100.8 110.3
April 101.8 111.2
May 100.6 111.3
June 99.8 111.3
July 99.1 111.3
August 99.8 111.3
September 97.9 112.9
October 99.2 113.0
November 100.1 113.0
December 98.0 113.0
2017
January 100.2 112.8
February 98.8 112.8
March 98.8 112.8
April 99.8 113.8
May 99.0 113.8
June 98.8 113.8
July 96.8 113.8
August 97.5 113.8
September 96.7 113.8
October 96.0 113.8
November 96.1 113.8
December 96.9 113.8
2018
January 96.7 113.8
February 96.7 114.4
March 96.1 114.8
April 97.7 114.8
May 97.9 114.8
June 97.0 114.6
July 96.0 113.5
August 96.3 114.3
September 97.2 114.8
October 94.8 116.3
November 95.2 114.1
December 97.2 114.4
2019
January 95.9 117.2
February 96.6 115.0
March 96.6 114.4
April 98.2 117.1
May 98.7 117.2
June 97.5 116.8
July 98.1 117.0
August 98.3 116.5
September 98.3 116.9
October 97.0 116.6
November 97.4 116.9
December 98.9 116.7
2020
January 100.2 116.7
February 99.8 118.9
March 99.8 120.3
April 103.5 120.3
May 102.7 120.3
June 101.2 120.3
July 101.3 120.0
August 102.1 120.0
September 100.3 120.0
October 98.8 119.9
November 102.1 119.9
December 101.5 119.9
2021
January 103.1 119.9
February 102.9 121.9
March 102.5 122.1
April 104.4 122.1
May 104.8 122.1
June 104.3 122.1
July 103.9 122.3
August 106.2 122.8
September 104.9 122.9
October 103.4 123.0

Chart 13

Data table for Chart 13 
Data table for Chart 13
Table summary
This table displays the results of Data table for Chart 13 CPI and IPPI, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
CPI IPPI
Index Jan 2000=100
2000
January 100.0 100.0
February 100.8 100.1
March 100.6 100.2
April 100.6 100.6
May 102.1 100.7
June 102.6 100.7
July 102.2 100.7
August 100.7 100.8
September 102.2 100.9
October 102.3 100.4
November 102.2 100.7
December 102.7 100.5
2001
January 103.4 100.1
February 105.8 100.8
March 107.3 101.3
April 107.3 102.5
May 107.6 102.5
June 108.1 102.6
July 108.0 102.8
August 107.8 102.9
September 107.8 102.9
October 107.9 102.6
November 107.9 102.7
December 108.2 102.3
2002
January 108.3 102.6
February 109.5 104.3
March 111.5 104.6
April 112.2 105.7
May 112.2 105.5
June 110.3 106.1
July 111.8 106.1
August 111.6 105.9
September 111.9 106.0
October 111.9 106.1
November 111.7 105.7
December 112.1 105.9
2003
January 112.5 105.5
February 115.6 106.5
March 115.8 107.3
April 116.5 108.4
May 116.7 108.3
June 116.0 108.5
July 116.0 108.2
August 116.6 108.4
September 116.2 108.5
October 116.4 108.4
November 116.0 108.3
December 115.5 108.2
2004
January 115.9 108.6
February 118.0 110.3
March 119.0 111.5
April 118.8 112.8
May 119.1 112.5
June 118.5 112.4
July 119.5 111.8
August 118.9 112.9
September 118.6 112.9
October 118.9 112.9
November 119.2 112.5
December 119.7 113.3
2005
January 120.1 112.1
February 121.8 119.7
March 127.6 120.4
April 128.9 119.3
May 129.7 119.3
June 130.7 119.2
July 130.3 119.4
August 131.0 119.2
September 130.9 119.1
October 131.0 119.2
November 130.7 120.1
December 130.7 119.8
2006
January 130.9 118.7
February 130.7 121.0
March 131.5 119.2
April 130.5 119.7
May 131.8 119.5
June 132.0 120.7
July 132.0 120.2
August 132.0 120.4
September 131.5 120.0
October 128.7 120.1
November 131.3 120.7
December 131.0 120.3
2007
January 133.0 118.9
February 132.5 119.2
March 133.1 119.4
April 133.7 119.6
May 132.6 120.7
June 134.5 120.3
July 134.0 118.1
August 134.3 120.0
September 133.8 120.3
October 133.4 119.4
November 132.4 119.3
December 130.6 120.2
2008
January 135.8 119.2
February 135.8 120.1
March 136.2 122.9
April 135.7 120.8
May 136.0 120.9
June 138.6 121.4
July 138.3 121.9
August 138.5 121.4
September 137.8 121.4
October 139.4 122.0
November 139.6 122.8
December 138.6 124.2
2009
January 141.3 124.0
February 141.2 122.2
March 142.9 123.6
April 142.3 123.3
May 141.9 123.6
June 143.3 123.7
July 142.0 124.1
August 139.3 123.9
September 140.2 124.6
October 138.9 123.6
November 139.3 123.4
December 138.0 123.5
2010
January 140.0 123.0
February 141.9 124.3
March 142.8 125.0
April 140.2 123.8
May 139.9 125.6
June 138.2 124.1
July 137.6 125.3
August 136.6 124.1
September 137.6 124.1
October 136.8 125.3
November 139.3 123.9
December 137.6 122.0
2011
January 139.5 121.9
February 142.6 122.5
March 143.7 122.5
April 142.2 122.3
May 144.0 122.4
June 142.2 122.5
July 142.7 124.1
August 143.0 122.4
September 144.2 123.6
October 143.4 122.1
November 141.7 123.1
December 142.6 122.4
2012
January 144.2 122.4
February 144.7 124.1
March 146.1 124.1
April 144.7 124.5
May 145.2 124.3
June 145.2 124.3
July 146.1 124.6
August 144.8 124.6
September 143.9 124.6
October 143.2 124.7
November 143.9 124.8
December 141.2 124.7
2013
January 144.2 124.7
February 144.0 124.7
March 141.9 124.5
April 142.7 125.2
May 142.2 124.7
June 145.6 125.4
July 143.8 124.3
August 145.6 124.6
September 144.5 124.1
October 142.9 124.0
November 143.5 123.8
December 143.0 124.7
2014
January 143.0 124.2
February 142.3 125.5
March 146.5 125.9
April 148.4 127.4
May 147.6 127.2
June 146.6 127.7
July 145.2 126.9
August 147.9 128.1
September 147.5 128.4
October 147.1 129.2
November 148.5 130.5
December 147.1 129.4
2015
January 147.4 126.8
February 148.7 124.7
March 149.3 125.6
April 145.7 125.8
May 149.4 125.8
June 148.6 125.9
July 150.1 125.4
August 148.3 127.8
September 150.7 127.4
October 148.1 128.0
November 151.2 128.3
December 150.4 128.1
2016
January 153.1 127.5
February 156.4 131.9
March 156.1 130.2
April 156.8 129.2
May 156.4 128.1
June 153.2 128.9
July 156.7 128.7
August 155.5 129.2
September 153.3 130.4
October 146.6 130.5
November 147.5 131.0
December 148.4 130.5
2017
January 149.2 129.7
February 148.7 130.2
March 155.6 131.3
April 153.3 130.7
May 154.5 131.6
June 155.5 131.3
July 155.8 131.2
August 155.2 131.8
September 156.0 131.9
October 152.6 132.8
November 152.6 133.4
December 150.9 132.0
2018
January 154.9 131.5
February 156.3 132.0
March 153.5 133.6
April 153.2 134.2
May 151.4 131.7
June 149.5 131.3
July 154.7 132.1
August 151.6 130.1
September 154.9 129.3
October 154.1 130.2
November 154.9 129.3
December 154.4 129.8
2019
January 162.7 130.8
February 162.6 130.7
March 161.5 130.1
April 154.1 130.2
May 160.2 130.1
June 155.3 132.1
July 166.1 130.8
August 161.4 130.1
September 162.6 129.3
October 162.3 130.5
November 157.2 129.3
December 159.0 127.6
2020
January 160.2 129.2
February 173.0 129.5
March 170.9 128.3
April 166.0 127.7
May 167.3 127.4
June 164.2 121.6
July 163.1 122.3
August 163.8 126.9
September 171.0 127.9
October 168.0 124.4
November 170.4 123.2
December 169.0 123.8
2021
January 176.1 123.3
February 170.9 125.9
March 178.9 125.9
April 176.5 125.4
May 181.4 127.3
June 180.3 128.0
July 179.3 128.3
August 180.5 128.9
September 181.8 129.2
October 177.2 129.1

Chart 14

Data table for Chart 14 
Data table for Chart 14
Table summary
This table displays the results of Data table for Chart 14 CPI and IPPI, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
CPI IPPI
Index Jan 2000=100
2000
January 100.0 100.0
February 97.1 99.5
March 97.7 99.7
April 99.0 97.6
May 98.3 97.1
June 98.2 97.5
July 99.2 97.6
August 99.5 98.2
September 98.2 98.8
October 101.6 100.5
November 101.0 100.4
December 101.0 100.7
2001
January 103.4 102.7
February 102.4 103.2
March 102.2 103.8
April 102.4 104.8
May 103.4 105.6
June 103.5 105.9
July 105.5 106.7
August 105.2 107.1
September 106.0 106.7
October 106.8 105.1
November 104.8 104.0
December 105.0 103.7
2002
January 105.3 104.0
February 104.1 104.7
March 104.4 105.0
April 104.2 102.6
May 105.1 100.6
June 103.5 100.7
July 104.2 100.9
August 104.4 101.9
September 103.7 101.1
October 106.9 100.4
November 105.4 103.7
December 105.3 105.1
2003
January 107.2 104.0
February 107.1 104.1
March 107.9 104.5
April 109.7 104.4
May 110.2 105.2
June 109.8 105.2
July 113.1 105.9
August 114.0 108.4
September 110.8 109.7
October 113.5 109.7
November 114.0 109.7
December 113.2 111.7
2004
January 113.1 111.7
February 113.7 111.7
March 115.5 111.7
April 116.9 111.8
May 116.5 111.8
June 122.9 112.1
July 123.9 112.1
August 125.3 110.9
September 123.6 110.7
October 123.7 109.6
November 118.0 107.7
December 119.6 107.0
2005
January 119.0 106.6
February 119.0 105.9
March 120.5 104.9
April 120.2 104.1
May 117.9 104.0
June 119.6 104.3
July 119.2 104.3
August 120.0 103.8
September 120.1 105.2
October 122.5 103.6
November 118.1 103.0
December 118.4 100.8
2006
January 119.4 100.6
February 115.8 100.7
March 119.4 100.6
April 119.5 100.4
May 118.4 101.2
June 118.0 103.1
July 117.3 103.8
August 121.6 105.2
September 121.9 108.1
October 122.7 106.6
November 123.8 109.7
December 122.7 111.3
2007
January 124.4 112.7
February 126.0 113.2
March 128.6 115.2
April 130.9 115.5
May 128.5 117.7
June 128.9 117.1
July 129.6 117.7
August 129.7 117.3
September 130.3 115.1
October 129.2 110.6
November 129.7 109.8
December 128.8 107.5
2008
January 133.1 105.3
February 130.2 104.2
March 131.7 104.4
April 129.3 104.4
May 131.3 104.2
June 132.8 104.2
July 134.2 104.5
August 136.9 104.7
September 136.0 104.8
October 137.4 105.0
November 139.9 105.0
December 135.4 105.0
2009
January 141.8 104.9
February 137.6 105.0
March 142.5 105.2
April 140.9 105.1
May 137.3 105.0
June 139.3 105.4
July 140.7 105.4
August 141.0 105.3
September 140.7 105.3
October 140.8 105.2
November 141.8 105.5
December 138.8 105.5
2010
January 140.0 105.7
February 138.4 105.2
March 139.4 105.1
April 141.0 105.4
May 137.5 105.5
June 139.2 105.6
July 140.9 105.8
August 140.6 105.7
September 140.0 105.6
October 141.4 105.5
November 140.5 105.5
December 143.2 105.6
2011
January 145.0 105.7
February 141.6 105.8
March 140.6 106.3
April 143.6 106.3
May 143.5 106.1
June 143.2 106.2
July 145.7 106.2
August 145.7 106.2
September 147.9 106.5
October 144.9 106.7
November 146.3 107.5
December 146.9 107.4
2012
January 150.6 107.7
February 149.6 107.2
March 148.5 107.1
April 149.8 106.9
May 153.5 107.9
June 148.0 108.2
July 151.9 108.1
August 152.0 108.4
September 151.3 107.8
October 153.0 108.2
November 150.3 108.5
December 152.1 108.4
2013
January 154.6 108.3
February 151.4 108.3
March 152.8 108.3
April 153.9 108.2
May 152.3 107.9
June 150.8 108.1
July 153.9 108.2
August 156.0 109.8
September 153.3 107.1
October 156.6 104.5
November 153.5 105.4
December 153.3 103.0
2014
January 152.6 105.1
February 149.6 105.4
March 150.2 105.0
April 152.0 107.3
May 153.3 109.0
June 153.8 110.2
July 155.0 112.2
August 158.5 110.9
September 159.1 111.5
October 160.8 110.2
November 156.0 108.4
December 158.4 108.0
2015
January 160.0 106.3
February 158.7 107.4
March 157.7 105.6
April 160.9 105.2
May 159.9 106.7
June 158.6 109.9
July 163.2 109.3
August 164.1 109.6
September 164.6 109.5
October 166.9 113.2
November 165.8 109.6
December 164.2 110.6
2016
January 162.9 109.7
February 160.8 108.5
March 163.2 108.2
April 160.2 106.3
May 162.1 105.8
June 159.9 105.8
July 163.2 105.5
August 163.8 106.9
September 165.1 108.2
October 166.5 109.2
November 162.1 107.7
December 163.1 105.6
2017
January 164.7 106.1
February 160.1 106.0
March 161.0 106.6
April 161.8 107.5
May 160.8 108.6
June 165.5 109.5
July 167.6 111.1
August 168.8 112.0
September 171.7 111.2
October 169.2 108.8
November 170.3 106.2
December 168.0 106.7
2018
January 170.7 106.5
February 166.6 105.4
March 164.4 105.9
April 168.8 105.8
May 162.2 106.0
June 163.2 105.4
July 166.4 107.8
August 166.4 107.1
September 168.8 108.3
October 171.9 107.3
November 166.8 107.2
December 169.5 105.8
2019
January 169.3 106.0
February 165.1 107.2
March 163.6 107.0
April 166.5 108.6
May 166.2 109.9
June 169.5 111.4
July 179.9 112.2
August 179.7 112.4
September 181.2 111.5
October 181.7 109.3
November 174.3 107.4
December 169.7 106.6
2020
January 182.1 113.4
February 178.2 116.3
March 179.3 118.4
April 176.1 108.5
May 175.0 99.9
June 167.2 113.0
July 178.2 121.3
August 178.3 121.2
September 177.2 117.8
October 186.1 110.4
November 180.0 108.1
December 176.3 107.8
2021
January 182.4 110.5
February 175.7 115.4
March 178.8 123.9
April 187.7 126.3
May 183.7 126.8
June 185.0 133.5
July 191.3 134.3
August 193.3 129.7
September 195.4 126.6
October 201.6 125.6

Chart 15

Data table for Chart 15 
Data table for chart 15
Table summary
This table displays the results of Data table for chart 15 CPI and IPPI, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
CPI IPPI
Index Jan 2000=100
2000
January 100.0 100.0
February 99.0 95.7
March 102.2 102.4
April 103.3 112.8
May 107.5 118.5
June 109.2 120.5
July 112.3 118.8
August 110.6 116.2
September 111.0 98.0
October 110.0 95.7
November 108.7 92.1
December 111.4 91.6
2001
January 111.1 94.7
February 108.5 103.1
March 112.1 106.3
April 121.6 118.6
May 118.5 111.7
June 117.7 115.9
July 119.9 125.3
August 120.5 124.2
September 119.0 116.3
October 120.0 112.6
November 117.6 101.8
December 116.2 101.2
2002
January 117.7 100.3
February 118.0 101.8
March 112.4 101.7
April 114.6 97.7
May 114.4 95.3
June 114.6 91.5
July 112.8 102.5
August 113.2 99.9
September 112.1 92.2
October 112.3 104.0
November 110.2 95.0
December 109.4 95.9
2003
January 112.3 101.3
February 112.4 99.9
March 115.1 100.3
April 113.1 101.3
May 115.1 105.1
June 115.7 104.1
July 114.0 106.8
August 111.9 104.2
September 111.5 102.5
October 115.4 101.3
November 113.2 94.4
December 113.2 95.4
2004
January 112.7 92.2
February 113.7 105.9
March 114.2 111.0
April 114.3 114.7
May 118.0 126.9
June 124.9 116.9
July 126.3 118.3
August 125.8 113.8
September 123.8 100.4
October 125.0 100.6
November 120.9 97.3
December 120.8 99.1
2005
January 120.8 96.6
February 122.8 96.7
March 122.2 94.0
April 121.6 90.9
May 120.5 98.0
June 123.2 88.0
July 120.9 84.6
August 122.1 98.9
September 120.1 92.5
October 120.5 88.4
November 117.0 85.6
December 117.4 83.2
2006
January 114.4 82.2
February 116.7 78.1
March 114.3 82.0
April 115.8 79.3
May 113.3 80.8
June 113.1 86.8
July 112.8 96.5
August 116.3 88.2
September 117.0 91.5
October 115.3 82.2
November 113.1 81.4
December 112.3 83.5
2007
January 115.8 86.3
February 115.2 96.7
March 111.4 94.1
April 116.3 89.5
May 115.6 94.2
June 116.1 91.9
July 116.3 90.2
August 118.2 86.9
September 117.4 82.9
October 115.6 78.0
November 113.5 75.4
December 110.8 78.6
2008
January 114.5 76.4
February 113.4 76.8
March 114.4 76.0
April 114.3 74.9
May 115.9 86.5
June 116.9 87.3
July 116.9 88.2
August 117.6 92.8
September 119.9 91.5
October 118.0 91.2
November 120.1 90.4
December 119.5 90.1
2009
January 120.1 88.4
February 119.9 88.9
March 122.0 91.2
April 122.6 91.6
May 123.8 91.5
June 121.7 89.3
July 120.9 89.1
August 120.9 89.1
September 122.1 88.5
October 120.8 88.5
November 119.8 88.7
December 117.7 89.1
2010
January 116.7 90.1
February 118.4 90.4
March 116.1 90.4
April 117.8 90.5
May 120.8 90.8
June 121.9 91.2
July 121.2 90.8
August 121.7 90.8
September 123.8 92.6
October 125.5 92.5
November 123.0 91.3
December 123.0 92.9
2011
January 124.3 92.4
February 124.6 99.4
March 126.9 100.5
April 127.6 102.8
May 129.1 100.9
June 127.9 98.3
July 128.7 100.8
August 131.8 102.2
September 134.3 98.6
October 130.9 100.9
November 131.8 97.7
December 130.0 95.5
2012
January 129.2 95.6
February 134.2 99.4
March 133.3 98.1
April 135.5 95.4
May 134.7 92.6
June 131.1 95.1
July 135.9 100.4
August 137.9 97.0
September 135.0 92.9
October 137.8 96.1
November 134.8 97.5
December 133.9 96.9
2013
January 134.3 99.1
February 135.2 97.3
March 136.0 96.1
April 133.0 99.8
May 135.0 103.9
June 137.5 112.8
July 138.5 120.6
August 138.7 119.4
September 141.4 116.1
October 142.2 114.6
November 140.5 110.9
December 139.4 109.5
2014
January 140.4 109.8
February 143.7 119.5
March 144.3 139.2
April 152.2 149.9
May 157.5 140.7
June 160.3 144.3
July 159.9 152.0
August 157.5 141.9
September 161.0 138.2
October 162.8 134.8
November 160.8 132.0
December 161.1 128.1
2015
January 162.2 133.5
February 161.5 130.7
March 161.3 127.2
April 163.1 130.6
May 162.2 140.3
June 162.1 143.6
July 163.1 142.2
August 165.8 145.1
September 165.5 147.2
October 166.5 146.6
November 162.9 142.6
December 163.1 133.5
2016
January 163.6 139.9
February 160.4 149.7
March 164.6 145.6
April 159.9 146.9
May 160.3 149.0
June 158.3 158.2
July 164.2 153.5
August 161.9 144.7
September 161.0 139.9
October 157.5 140.5
November 158.1 139.1
December 158.5 129.8
2017
January 156.5 138.7
February 154.7 149.4
March 153.5 150.2
April 157.9 145.7
May 159.5 149.4
June 161.3 164.9
July 163.1 165.7
August 165.0 157.0
September 159.5 143.0
October 160.3 139.9
November 158.2 148.2
December 160.5 143.8
2018
January 156.4 144.9
February 157.7 142.6
March 157.2 136.4
April 161.2 139.5
May 159.1 142.8
June 161.9 148.2
July 165.0 151.3
August 162.3 140.7
September 163.5 140.4
October 162.7 149.6
November 159.9 147.2
December 158.9 143.0
2019
January 161.5 144.8
February 157.0 142.1
March 153.6 150.2
April 159.7 168.6
May 161.4 171.8
June 163.1 171.0
July 166.3 158.8
August 161.7 174.6
September 166.3 153.7
October 161.5 149.5
November 161.1 149.6
December 165.4 170.2
2020
January 166.9 166.3
February 168.3 145.2
March 165.3 146.9
April 174.1 159.1
May 171.3 210.9
June 176.8 168.7
July 172.1 151.6
August 166.1 149.6
September 165.6 164.1
October 167.0 169.3
November 169.2 143.7
December 169.2 136.4
2021
January 170.4 138.9
February 164.9 145.7
March 164.2 148.7
April 168.8 159.5
May 167.9 175.1
June 172.6 186.6
July 178.1 154.0
August 181.5 153.4
September 181.4 156.2
October 181.7 146.2

Chart 16

Data table for Chart 16 
Data table for chart 16
Table summary
This table displays the results of Data table for chart 16 CPI and IPPI, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
CPI IPPI
Index Jan 2000=100
2000
January 100.0 100.0
February 102.3 99.8
March 102.8 100.6
April 105.7 102.1
May 106.0 102.0
June 106.8 102.2
July 108.1 101.8
August 108.7 101.6
September 108.9 100.4
October 107.7 101.0
November 107.4 102.1
December 110.1 101.7
2001
January 112.7 104.5
February 117.1 102.8
March 122.1 107.4
April 124.7 107.0
May 126.2 106.2
June 126.0 105.3
July 123.4 104.7
August 122.3 105.0
September 123.7 103.8
October 122.9 104.3
November 122.1 105.0
December 124.3 105.3
2002
January 124.0 106.2
February 125.5 107.5
March 125.9 107.4
April 128.9 107.0
May 127.4 105.1
June 127.9 105.3
July 127.4 104.1
August 127.4 101.3
September 126.6 99.8
October 126.5 100.5
November 126.0 101.6
December 127.6 108.2
2003
January 129.7 108.8
February 134.5 112.3
March 134.6 114.4
April 136.8 112.3
May 133.8 112.3
June 132.3 110.7
July 125.7 91.6
August 115.3 83.3
September 114.4 90.7
October 119.8 94.7
November 127.8 104.9
December 127.0 104.9
2004
January 125.1 100.3
February 126.6 102.5
March 127.4 104.0
April 127.4 107.8
May 130.4 108.7
June 136.2 110.0
July 136.0 110.6
August 136.9 107.5
September 136.1 95.0
October 133.6 95.3
November 134.5 90.2
December 134.7 92.2
2005
January 135.5 96.2
February 134.2 99.4
March 135.9 98.7
April 135.5 97.0
May 135.0 97.5
June 136.0 91.5
July 134.1 90.7
August 133.3 88.9
September 133.0 89.0
October 132.7 90.5
November 134.7 90.6
December 134.3 95.7
2006
January 133.3 93.9
February 133.8 95.4
March 132.4 93.9
April 132.4 94.1
May 133.5 96.6
June 135.0 93.9
July 134.3 97.2
August 133.6 95.5
September 136.8 98.0
October 136.4 96.7
November 137.3 94.8
December 136.6 95.0
2007
January 135.1 96.2
February 137.5 99.2
March 137.6 101.0
April 139.7 103.6
May 140.6 102.7
June 141.2 98.1
July 139.5 97.8
August 137.5 93.2
September 137.6 92.1
October 138.4 87.5
November 136.2 88.7
December 137.6 92.2
2008
January 135.9 93.0
February 137.1 92.0
March 137.0 93.6
April 138.8 95.6
May 139.5 96.1
June 139.4 97.7
July 139.2 101.7
August 142.2 105.5
September 144.1 96.9
October 144.0 95.3
November 146.9 97.0
December 148.2 97.9
2009
January 146.5 97.2
February 149.6 97.9
March 148.4 101.4
April 151.3 105.2
May 152.2 98.8
June 153.0 96.2
July 151.5 93.8
August 149.6 94.3
September 148.4 92.0
October 146.1 90.8
November 146.6 93.1
December 147.1 90.8
2010
January 145.2 89.1
February 146.9 89.3
March 147.1 91.4
April 147.3 94.8
May 150.2 94.8
June 148.7 91.0
July 149.9 89.5
August 149.3 90.6
September 151.2 90.6
October 150.4 89.6
November 148.9 92.2
December 152.9 92.7
2011
January 150.8 91.5
February 151.6 92.5
March 156.7 97.3
April 158.2 98.2
May 160.2 94.1
June 162.4 93.5
July 161.3 92.9
August 161.5 92.9
September 162.5 93.0
October 162.2 92.4
November 162.7 94.3
December 165.3 98.4
2012
January 168.8 98.5
February 168.3 104.4
March 169.3 107.6
April 168.2 107.6
May 171.7 108.7
June 173.8 112.4
July 173.1 106.3
August 173.9 106.7
September 172.6 108.1
October 171.6 109.0
November 174.0 107.4
December 173.9 103.4
2013
January 172.4 107.0
February 177.6 107.0
March 175.3 106.7
April 176.2 105.6
May 176.3 110.8
June 176.8 110.7
July 176.7 108.5
August 176.8 107.1
September 177.1 108.2
October 176.9 107.4
November 178.3 109.6
December 178.3 112.5
2014
January 179.5 114.2
February 188.1 114.6
March 192.0 119.2
April 193.8 120.5
May 197.3 121.2
June 199.5 124.3
July 199.5 133.3
August 200.9 136.9
September 209.6 138.1
October 211.3 142.1
November 215.5 144.7
December 218.5 150.8
2015
January 218.6 151.3
February 223.2 152.7
March 226.2 155.6
April 229.9 157.3
May 232.3 158.1
June 236.1 158.4
July 233.7 157.6
August 231.8 159.5
September 234.9 153.6
October 238.4 147.3
November 233.0 147.0
December 231.2 144.4
2016
January 230.2 150.8
February 230.4 150.3
March 240.4 142.5
April 235.6 140.6
May 234.7 134.9
June 228.3 135.1
July 226.7 133.5
August 224.3 129.7
September 224.6 131.0
October 225.6 129.1
November 219.6 127.7
December 218.9 126.8
2017
January 218.3 133.6
February 220.8 132.2
March 223.6 138.3
April 224.2 142.3
May 226.9 149.8
June 226.7 149.0
July 227.9 141.3
August 226.6 140.6
September 225.2 134.0
October 220.2 135.8
November 223.8 139.3
December 225.0 138.5
2018
January 222.7 142.9
February 222.9 141.3
March 221.5 143.8
April 228.8 140.2
May 225.5 142.7
June 227.5 140.9
July 225.2 141.7
August 229.5 138.6
September 227.6 134.4
October 224.1 132.7
November 227.2 134.1
December 224.7 138.5
2019
January 228.3 139.9
February 226.0 138.1
March 228.8 140.6
April 227.0 144.4
May 231.2 145.8
June 234.1 140.3
July 231.7 135.7
August 234.2 139.2
September 238.4 136.1
October 238.9 137.7
November 241.4 148.6
December 242.8 147.8
2020
January 240.8 144.9
February 237.3 148.5
March 244.4 158.8
April 246.3 210.3
May 262.9 228.0
June 284.7 204.2
July 265.7 149.7
August 245.4 152.1
September 237.3 154.2
October 241.4 150.3
November 240.3 159.0
December 239.3 141.0
2021
January 243.0 148.8
February 237.9 166.3
March 239.2 164.0
April 247.0 191.8
May 251.6 209.9
June 253.1 213.3
July 259.3 191.5
August 258.3 227.2
September 268.1 217.9
October 275.2 186.7

Chart 17

Data table for Chart 17 
Data table for chart 17
Table summary
This table displays the results of Data table for chart 17 CPI and IPPI, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
CPI IPPI
Index Jan 2000=100
2000
January 100.0 100.0
February 101.4 101.4
March 101.3 101.4
April 99.9 102.9
May 100.6 102.9
June 100.2 99.8
July 99.7 99.8
August 99.8 99.8
September 98.5 99.8
October 98.4 98.7
November 97.3 98.7
December 98.1 98.7
2001
January 97.2 97.0
February 97.6 95.2
March 98.3 95.2
April 97.3 95.2
May 97.9 95.2
June 97.7 95.2
July 94.8 95.2
August 96.4 95.2
September 96.1 95.2
October 94.6 95.2
November 95.0 95.2
December 95.4 95.2
2002
January 95.1 95.1
February 93.4 95.1
March 93.0 93.4
April 91.7 93.4
May 93.4 93.4
June 91.9 93.4
July 90.7 93.4
August 91.7 93.4
September 90.0 93.4
October 90.0 93.4
November 88.7 93.4
December 91.3 93.4
2003
January 88.6 93.4
February 91.5 93.4
March 91.4 97.0
April 92.6 97.0
May 92.9 97.0
June 92.0 97.0
July 93.4 97.0
August 93.1 97.0
September 93.3 97.0
October 93.9 97.0
November 94.2 97.0
December 94.3 97.0
2004
January 93.4 97.0
February 93.0 97.0
March 93.1 97.0
April 92.2 97.0
May 94.7 97.0
June 94.2 97.0
July 94.8 97.0
August 94.5 97.0
September 93.7 97.0
October 94.3 97.0
November 94.6 97.0
December 94.2 97.0
2005
January 94.2 97.0
February 94.3 98.8
March 95.3 100.9
April 95.6 100.9
May 93.4 100.9
June 98.3 102.9
July 99.4 102.9
August 99.7 102.9
September 100.6 102.9
October 100.4 102.9
November 100.2 102.9
December 101.9 102.9
2006
January 100.7 102.9
February 100.9 102.9
March 100.6 102.9
April 102.5 102.9
May 101.7 102.9
June 103.0 102.9
July 101.4 102.9
August 103.4 102.9
September 102.9 102.9
October 102.6 104.5
November 101.4 104.5
December 101.0 104.5
2007
January 100.3 104.5
February 103.0 104.5
March 101.4 104.5
April 102.4 104.5
May 101.7 104.5
June 103.5 104.5
July 103.1 104.5
August 102.6 104.5
September 101.9 104.5
October 101.1 104.5
November 100.0 104.5
December 101.4 104.5
2008
January 102.0 104.5
February 100.7 104.5
March 99.9 104.5
April 101.0 104.5
May 100.2 104.5
June 103.1 104.5
July 103.5 104.5
August 105.2 104.5
September 107.3 104.5
October 106.5 104.5
November 105.9 104.5
December 106.1 104.5
2009
January 104.4 104.5
February 106.1 104.5
March 105.1 104.5
April 107.4 104.5
May 108.0 104.5
June 109.8 104.5
July 110.5 104.5
August 109.7 104.5
September 107.9 104.5
October 109.0 104.5
November 109.4 104.5
December 111.1 104.5
2010
January 110.8 104.5
February 111.4 104.5
March 111.7 104.5
April 108.9 104.5
May 110.2 106.0
June 111.4 106.0
July 110.6 106.0
August 112.8 106.2
September 112.9 106.2
October 114.4 111.3
November 118.0 111.3
December 117.6 111.3
2011
January 116.7 111.3
February 118.8 113.1
March 122.8 116.6
April 123.6 121.9
May 125.4 121.9
June 127.4 121.9
July 129.4 129.1
August 131.4 129.1
September 132.5 127.1
October 131.2 127.1
November 132.2 127.1
December 129.7 127.1
2012
January 132.3 127.1
February 132.8 127.1
March 132.1 127.1
April 133.4 127.1
May 131.1 119.7
June 133.5 119.7
July 134.3 119.7
August 132.0 119.7
September 133.9 120.4
October 131.4 116.6
November 132.8 116.6
December 131.7 116.6
2013
January 132.4 116.6
February 133.1 116.6
March 134.4 108.6
April 131.3 103.6
May 132.7 103.6
June 131.2 103.6
July 130.7 103.6
August 129.6 101.9
September 131.1 101.9
October 131.5 101.9
November 129.5 101.9
December 125.8 101.9
2014
January 127.6 101.9
February 126.5 99.0
March 124.6 99.0
April 124.0 99.0
May 121.4 99.0
June 122.6 99.0
July 121.9 97.5
August 125.7 97.5
September 125.8 97.5
October 125.4 97.5
November 123.6 97.5
December 125.8 97.5
2015
January 124.9 101.7
February 126.4 104.8
March 126.0 104.8
April 128.9 104.8
May 128.3 104.8
June 128.2 104.8
July 127.4 104.8
August 129.9 105.9
September 128.8 105.9
October 130.0 108.6
November 128.2 108.6
December 127.7 108.6
2016
January 128.2 107.4
February 128.1 107.4
March 129.8 107.4
April 127.1 107.4
May 126.6 107.4
June 126.4 107.4
July 126.2 108.7
August 126.6 109.4
September 125.0 110.4
October 125.0 110.4
November 124.3 110.4
December 121.2 110.4
2017
January 123.0 110.1
February 123.2 110.1
March 126.1 110.1
April 126.7 110.1
May 125.0 110.1
June 126.6 107.2
July 126.9 108.6
August 125.7 108.6
September 125.0 108.6
October 124.8 107.3
November 124.3 107.3
December 123.1 107.3
2018
January 124.8 106.4
February 124.9 106.4
March 123.8 106.4
April 124.8 106.4
May 120.9 106.4
June 123.3 106.4
July 123.3 105.3
August 122.2 105.3
September 123.8 105.3
October 121.5 105.3
November 120.4 105.3
December 121.0 105.3
2019
January 122.0 105.5
February 128.9 105.6
March 128.0 105.6
April 125.6 105.6
May 124.4 105.6
June 124.1 105.6
July 124.4 105.1
August 124.2 105.1
September 121.9 105.1
October 121.5 105.1
November 121.4 105.1
December 121.7 105.1
2020
January 122.4 104.8
February 124.7 104.8
March 123.1 104.8
April 123.4 104.8
May 122.1 104.8
June 122.8 104.8
July 122.9 105.7
August 121.8 105.7
September 122.8 105.7
October 122.9 105.7
November 122.7 105.7
December 123.3 105.7
2021
January 123.3 106.0
February 122.8 106.0
March 120.3 106.0
April 119.5 106.0
May 125.0 106.0
June 124.5 106.0
July 122.3 106.0
August 122.7 106.0
September 123.3 106.0
October 127.4 106.0

Chart 18

Data table for Chart 18 
Data table for chart 18
Table summary
This table displays the results of Data table for chart 18 CPI and IPPI, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
CPI IPPI
Index Jan 2000=100
2000
January 100.0 100.0
February 100.9 101.8
March 102.3 103.4
April 102.2 103.4
May 101.3 103.4
June 101.7 104.1
July 101.8 104.4
August 101.8 104.4
September 102.7 105.4
October 102.1 104.7
November 103.7 105.5
December 103.1 105.6
2001
January 103.7 106.4
February 104.4 106.4
March 104.7 106.3
April 104.9 106.3
May 105.4 106.7
June 105.2 106.7
July 107.0 106.7
August 105.9 106.7
September 105.3 106.7
October 106.4 107.9
November 108.0 107.9
December 107.3 108.4
2002
January 107.8 107.7
February 108.4 109.3
March 107.2 110.5
April 108.2 111.5
May 108.2 111.5
June 108.7 111.5
July 107.6 111.5
August 108.5 111.5
September 109.1 112.5
October 108.6 114.8
November 110.1 114.9
December 109.2 114.9
2003
January 110.5 114.9
February 110.6 114.9
March 110.8 115.5
April 111.0 116.3
May 112.0 118.1
June 112.0 118.1
July 112.1 118.1
August 112.6 119.0
September 112.5 120.4
October 112.7 120.4
November 113.3 120.6
December 113.0 119.7
2004
January 113.4 121.1
February 115.5 121.6
March 115.4 122.3
April 115.6 122.3
May 116.1 123.5
June 116.1 123.5
July 116.5 123.5
August 116.7 124.0
September 116.3 124.4
October 117.4 123.0
November 117.8 123.0
December 116.2 123.0
2005
January 117.2 123.0
February 117.2 123.0
March 117.6 123.8
April 118.7 123.9
May 118.2 123.9
June 118.5 123.9
July 118.1 123.9
August 119.2 124.7
September 120.0 124.7
October 117.8 124.7
November 119.5 124.7
December 116.5 124.7
2006
January 119.1 125.5
February 119.1 125.5
March 119.1 125.5
April 120.0 125.6
May 119.3 125.7
June 119.0 126.2
July 118.8 126.0
August 119.2 126.0
September 119.2 126.1
October 118.2 126.2
November 118.4 126.2
December 116.3 126.2
2007
January 120.7 127.9
February 120.5 127.7
March 121.0 128.6
April 121.9 129.1
May 121.4 129.2
June 120.6 129.1
July 121.6 129.8
August 121.3 130.8
September 123.4 130.8
October 122.3 130.8
November 123.0 130.8
December 121.6 130.8
2008
January 123.0 130.8
February 124.4 130.8
March 123.1 131.9
April 122.5 132.1
May 123.6 132.1
June 123.4 132.1
July 122.2 132.1
August 120.6 132.1
September 122.2 132.1
October 121.7 132.8
November 123.5 134.9
December 123.5 134.8
2009
January 125.5 135.1
February 125.1 135.1
March 125.4 136.4
April 125.2 136.9
May 126.4 136.9
June 126.5 136.9
July 125.2 136.9
August 124.8 136.9
September 124.9 137.7
October 125.7 140.2
November 125.2 140.2
December 124.9 140.2
2010
January 123.4 140.2
February 123.6 140.8
March 123.9 140.8
April 124.5 140.9
May 125.2 141.4
June 125.3 141.4
July 124.4 141.4
August 124.1 141.4
September 124.2 142.1
October 124.6 143.0
November 124.3 143.0
December 124.2 143.0
2011
January 125.1 143.0
February 124.7 143.0
March 121.9 143.4
April 121.9 143.2
May 122.6 143.3
June 122.6 143.3
July 124.0 143.8
August 123.3 145.6
September 122.9 145.6
October 122.0 145.6
November 122.0 146.2
December 121.6 146.2
2012
January 122.1 146.2
February 123.5 146.2
March 125.5 146.2
April 126.0 146.7
May 124.7 147.4
June 124.4 147.4
July 124.8 147.4
August 124.7 147.4
September 124.5 147.4
October 124.9 147.4
November 125.6 147.4
December 124.9 147.4
2013
January 125.7 147.4
February 126.0 148.3
March 126.0 148.3
April 126.4 148.5
May 128.9 148.3
June 128.0 148.4
July 125.3 148.4
August 124.9 148.3
September 126.6 146.2
October 127.0 149.1
November 126.5 149.3
December 127.5 149.1
2014
January 125.7 149.3
February 127.2 149.1
March 127.9 149.7
April 125.8 149.9
May 126.1 150.3
June 125.4 150.3
July 125.7 150.4
August 128.4 151.1
September 128.7 150.8
October 131.3 151.5
November 132.1 151.5
December 131.2 151.5
2015
January 131.8 151.5
February 132.0 151.5
March 133.2 151.5
April 134.1 152.1
May 135.4 152.1
June 135.1 152.1
July 135.5 152.4
August 135.0 152.5
September 134.6 152.7
October 135.0 152.7
November 135.5 152.7
December 134.7 152.5
2016
January 135.4 153.0
February 136.0 153.0
March 136.9 153.9
April 136.9 154.1
May 137.7 153.9
June 135.4 154.0
July 135.6 154.0
August 135.8 154.0
September 137.0 154.2
October 136.9 153.9
November 137.6 154.2
December 137.3 154.1
2017
January 138.4 154.2
February 138.4 154.8
March 139.9 155.5
April 139.7 155.5
May 140.7 155.4
June 139.7 155.6
July 140.1 155.4
August 140.2 155.6
September 141.6 155.4
October 141.0 155.6
November 140.7 155.3
December 140.9 155.4
2018
January 141.3 155.6
February 141.5 155.4
March 142.7 156.3
April 143.2 156.1
May 142.6 156.1
June 142.4 156.5
July 142.7 156.1
August 142.6 156.1
September 143.3 158.1
October 143.1 158.1
November 144.0 158.1
December 143.4 158.1
2019
January 144.1 157.9
February 144.5 157.9
March 145.1 158.2
April 145.4 159.9
May 145.8 159.9
June 144.9 160.0
July 143.5 159.9
August 143.7 159.7
September 143.1 159.5
October 145.0 160.0
November 144.8 158.8
December 144.8 158.6
2020
January 145.1 159.1
February 145.3 158.4
March 144.4 160.1
April 145.0 159.8
May 144.8 159.8
June 144.8 159.1
July 145.2 159.6
August 144.7 158.1
September 145.6 158.8
October 147.0 155.1
November 146.4 158.3
December 145.2 155.1
2021
January 145.9 158.3
February 148.0 159.9
March 149.0 158.6
April 149.1 160.4
May 148.8 160.4
June 148.0 160.4
July 148.3 158.8
August 149.9 158.8
September 149.2 158.6
October 150.1 158.6

The results are interesting economically and discouraging for forecasting purposes. They are interesting economically, as they are consistent with a view that intermediation margins between the factory gate and the retail outlet have a strong influence on movements of consumer prices, to the point of lastingly negate cost and price impulses from the producer side. The same lack of visible “pass through” from the most detailed commodity level, however, is discouraging for forecasting purposes. As a group, the lowest aggregates of the IPPI do not show convincing predictive power on corresponding CPI aggregates. In consequence, expectations for a solid predictive link on higher aggregates, where compositional factors figure in more strongly, are low. Overall, however, the link between producer and consumer prices at the lowest level of aggregation is weak, at best, and places serious doubts on using lagged producer prices to predict consumer prices.

Impact of the pandemic and lumber prices (February 2020 – October 2021)

The pandemic has caused economic dislocations that have resulted in a marked increase in the IPPI. Strong increases in the price of lumber in particular were widely reported in the media and have caught the public eye. The events taken together with highly accommodative fiscal and monetary policy have raised questions if the response of the CPI will remain mute in the face of rising price pressures lower down the production chain. A reminder is useful at this stage that inflation is a broad-based phenomenon where prices rise in unison for a majority of items, and not just that a few items go up in price.

Chart 19

Data table for Chart 19 
Data table for chart 19
Table summary
This table displays the results of Data table for chart 19 Lumber, Metal products and construction materials and Cement and glass, calculated using Index Jan 2000=100 units of measure (appearing as column headers).
Lumber Metal products and construction materials Cement and glass
Index Jan 2000=100
2000
January 100.0 100.0 100.0
February 100.0 100.3 100.6
March 99.1 100.5 100.6
April 95.2 100.6 100.7
May 88.7 100.8 100.6
June 86.4 100.3 100.7
July 81.7 100.3 100.7
August 78.1 100.0 100.9
September 78.3 100.0 101.1
October 77.8 100.2 101.4
November 80.2 100.3 101.6
December 77.7 100.0 101.6
2001
January 73.9 99.8 102.3
February 76.5 100.3 102.6
March 79.3 100.3 102.8
April 85.0 100.3 103.1
May 100.9 100.6 103.1
June 97.6 100.5 103.1
July 91.6 100.6 103.3
August 98.1 100.5 103.4
September 94.2 100.8 103.1
October 81.7 100.8 103.0
November 83.8 100.5 103.1
December 83.3 100.3 103.1
2002
January 86.4 100.9 103.7
February 92.2 100.9 103.6
March 99.2 100.8 103.6
April 96.9 101.1 104.3
May 92.8 101.4 104.3
June 84.0 101.5 104.3
July 85.5 102.2 104.3
August 82.9 102.8 104.6
September 80.5 103.1 104.6
October 81.0 103.1 104.4
November 79.5 103.1 104.7
December 79.8 102.9 104.6
2003
January 79.2 102.9 104.7
February 82.1 103.3 105.3
March 76.7 103.4 104.8
April 74.5 103.4 105.3
May 70.1 102.6 105.4
June 71.7 102.5 105.3
July 75.7 102.8 104.4
August 78.4 102.8 104.4
September 87.0 103.1 104.4
October 77.9 102.8 104.3
November 75.4 102.8 104.3
December 76.0 103.3 104.3
2004
January 80.1 104.2 105.3
February 87.0 105.6 105.3
March 88.4 107.9 105.5
April 93.3 109.9 106.0
May 101.5 111.3 106.0
June 98.9 112.2 106.1
July 98.3 113.2 106.4
August 104.2 114.6 106.7
September 101.1 115.3 107.3
October 86.6 115.5 107.1
November 78.4 115.0 107.4
December 83.4 115.0 107.4
2005
January 84.9 115.9 108.7
February 89.8 116.9 109.2
March 89.7 116.7 109.2
April 86.7 116.9 109.0
May 82.2 116.4 109.1
June 82.8 115.9 109.2
July 81.0 115.5 109.2
August 77.2 115.2 109.2
September 78.5 115.3 109.2
October 77.3 115.5 109.2
November 77.4 115.6 109.7
December 78.7 115.9 109.8
2006
January 81.6 116.1 112.1
February 80.2 116.3 112.2
March 79.5 116.4 112.8
April 78.1 116.7 113.7
May 76.5 117.0 113.7
June 74.1 117.6 113.7
July 75.1 117.6 113.7
August 72.4 117.8 113.9
September 73.2 117.6 113.7
October 71.1 117.5 113.7
November 70.1 117.2 113.7
December 71.6 117.0 113.7
2007
January 75.8 117.5 115.4
February 73.8 118.0 115.5
March 72.7 118.6 115.9
April 71.9 119.2 116.4
May 69.3 118.7 116.4
June 71.0 118.6 116.4
July 70.2 118.3 116.2
August 70.1 118.3 116.4
September 67.4 118.0 116.5
October 64.5 117.5 115.9
November 63.8 117.2 116.2
December 64.9 117.8 116.1
2008
January 63.8 118.9 117.9
February 62.3 119.8 117.5
March 62.3 120.4 117.1
April 63.0 122.6 118.3
May 63.3 123.8 118.1
June 65.0 126.5 118.2
July 65.8 128.5 118.2
August 69.1 130.3 118.3
September 68.5 130.3 118.6
October 69.9 131.0 119.6
November 69.7 130.0 119.5
December 69.1 129.3 119.5
2009
January 66.6 129.6 121.1
February 67.8 129.3 121.5
March 67.8 128.3 121.6
April 66.6 126.6 121.2
May 63.4 125.9 121.8
June 65.2 124.6 121.5
July 66.7 124.6 121.8
August 66.6 124.1 122.0
September 65.5 123.7 121.9
October 64.2 122.4 121.6
November 64.9 122.4 121.8
December 66.1 122.4 121.3
2010
January 66.7 122.8 122.5
February 73.0 122.8 122.8
March 72.1 122.8 122.8
April 74.5 124.3 122.5
May 76.1 125.2 122.6
June 68.3 125.9 122.8
July 66.9 124.1 122.6
August 67.3 124.1 122.8
September 67.8 124.8 122.6
October 68.6 124.0 122.5
November 70.0 124.1 122.9
December 70.4 124.3 122.8
2011
January 71.7 125.2 123.3
February 70.2 126.0 122.9
March 69.9 127.1 123.2
April 67.5 127.1 123.3
May 63.9 126.8 123.3
June 65.1 126.2 123.3
July 66.3 126.8 124.3
August 66.6 126.8 124.2
September 68.3 126.3 124.3
October 67.9 127.4 124.6
November 66.9 126.5 124.6
December 67.8 126.6 124.6
2012
January 68.8 126.8 125.2
February 68.8 126.8 125.3
March 71.2 126.8 125.3
April 71.7 127.1 125.3
May 75.8 126.9 125.5
June 77.4 126.2 125.3
July 76.6 124.8 125.3
August 77.6 124.5 125.7
September 74.9 124.0 125.6
October 74.8 124.0 125.6
November 78.1 123.8 125.7
December 81.4 124.1 125.7
2013
January 87.3 123.5 126.5
February 89.2 123.5 127.3
March 92.8 123.8 127.2
April 93.0 124.0 127.7
May 86.0 124.3 127.9
June 82.2 124.9 128.3
July 82.3 125.1 128.3
August 84.8 124.8 128.7
September 86.8 124.8 128.6
October 89.2 124.8 129.3
November 92.4 125.2 130.4
December 91.1 125.5 129.0
2014
January 93.6 126.5 130.0
February 94.4 126.5 130.6
March 94.3 127.4 130.0
April 92.1 127.2 130.2
May 92.6 126.9 129.9
June 90.8 126.9 131.0
July 91.7 127.6 131.4
August 94.3 127.7 131.6
September 94.9 128.2 131.6
October 95.5 128.6 132.4
November 94.9 129.3 132.4
December 95.8 129.3 131.6
2015
January 98.7 130.8 131.0
February 99.3 132.2 133.9
March 96.0 132.4 132.0
April 91.0 132.0 132.1
May 87.9 132.0 132.4
June 92.4 132.4 132.0
July 97.0 132.8 133.4
August 97.8 133.1 133.0
September 94.4 133.4 133.6
October 93.0 133.3 134.1
November 95.5 133.4 134.0
December 96.9 134.1 133.4
2016
January 98.9 135.8 134.4
February 95.9 135.4 136.0
March 96.5 134.1 135.1
April 97.1 133.3 133.3
May 99.2 133.7 132.9
June 100.3 134.1 134.0
July 101.7 136.7 132.7
August 102.2 138.1 132.1
September 101.2 138.7 134.1
October 100.6 137.5 134.7
November 99.6 138.1 135.3
December 99.4 138.1 134.7
2017
January 100.3 138.1 135.7
February 105.6 138.7 135.7
March 109.0 139.9 134.9
April 113.9 140.1 135.3
May 112.5 141.2 136.6
June 109.8 141.5 136.0
July 111.6 142.0 136.6
August 115.1 141.3 136.8
September 115.5 140.6 137.1
October 123.4 142.1 137.3
November 127.4 142.6 138.1
December 124.4 142.6 138.4
2018
January 122.4 143.3 139.0
February 129.7 144.9 139.8
March 134.1 145.7 139.7
April 132.8 146.6 141.0
May 144.0 149.7 141.3
June 147.5 151.1 140.3
July 141.5 152.9 141.1
August 124.5 153.1 141.5
September 120.5 154.6 141.5
October 104.0 151.9 141.7
November 102.3 152.6 141.1
December 103.7 153.9 140.4
2019
January 104.4 155.3 141.4
February 110.7 154.3 141.5
March 110.7 154.8 142.5
April 105.8 155.3 143.2
May 102.4 155.3 142.8
June 103.6 156.2 142.5
July 106.6 154.5 142.7
August 104.3 154.2 141.7
September 106.5 154.5 142.0
October 106.7 154.8 143.2
November 109.5 152.3 142.8
December 109.4 153.6 143.0
2020
January 110.0 154.8 142.2
February 118.6 153.7 142.5
March 120.2 154.6 143.2
April 108.8 155.4 142.8
May 110.7 154.3 141.1
June 116.9 154.0 140.8
July 143.2 153.7 139.1
August 176.7 153.7 138.7
September 211.8 153.6 139.8
October 194.4 154.6 140.3
November 165.2 154.3 140.8
December 198.2 155.9 140.3
2021
January 225.3 159.1 141.5
February 240.4 166.3 142.0
March 259.5 167.5 142.0
April 289.3 173.1 143.5
May 360.8 179.1 145.4
June 315.7 180.3 146.8
July 211.9 189.6 147.5
August 168.6 192.3 147.7
September 167.5 197.1 148.4
October 187.5 206.3 148.1

The cost of construction materials in the course of the pandemic increased at rates that reflected various bottlenecks and ranged from barely noticeable such as cement, to moderate such as metal products, to dramatic in the case of lumber. The Building Construction Cost Index (BCPI) measures the cost of building single-detached homes as well as townhouses.Note Costs are up by approx. 30% since the start of the pandemic, on the most recent measures. The increase in the price of lumber raised construction costs noticeably, according to industry reports. The CBC quoted the Canadian Home Builder’s Association, which said that lumber raised construction cost of a typical townhouse by $10,000 and by $30,000 for a house that is 230 m2 in size.Note

Note The New Housing Price Index (NHPI) measures the prices builders receive for selling new homes to consumers, and is thereby a broader measure of home price inflation.Note The structure component of the NHPI has increased approx. by 19% since the start of the pandemic.

Chart 20

Data table for Chart 20 
Data table for chart 20
Table summary
This table displays the results of Data table for chart 20 NHPU House, BCPI Single-detached house and Homeowners' replacement cost, calculated using Index 2017-Q1=100 units of measure (appearing as column headers).
NHPI House BCPI Single-detached house Homeowners' replacement cost
Index 2017-Q1=100
2017
Q1 100.0 100.0 100.0
Q2 101.5 101.5 101.8
Q3 101.9 104.4 102.6
Q4 102.0 106.0 103.1
2018
Q1 101.5 107.8 102.9
Q2 101.9 110.1 103.1
Q3 101.7 111.0 103.1
Q4 101.6 111.3 103.2
2019
Q1 101.4 111.8 103.1
Q2 101.0 112.4 102.8
Q3 101.5 113.1 103.0
Q4 101.4 113.5 103.3
2020
Q1 102.3 114.2 104.0
Q2 102.7 114.7 104.4
Q3 106.0 118.0 106.7
Q4 108.0 122.6 109.3
2021
Q1 112.9 130.9 113.6
Q2 118.8 142.2 118.8
Q3 121.4 148.5 121.2

The NHPI is a component of the CPI and the driving factor that measures the replacement cost of housing (depreciation), which is an integral part of the home ownership “user cost concept” used in the CPI.Note The CPI basket weight of the replacement cost component is 5.6%, and the overall effect of high construction costs on the CPI, muted.Note

Conclusion

The issue regarding the predictive power of the IPPI on the CPI periodically comes up at Statistics Canada. This is the third study that looked at the topic in detail. Each study took a different approach and angle. Except for energy (gasoline) and some food groupings, none found an economically meaningful persistent predictive link. The conclusions of this paper are fundamentally the same as those of the two previous studies, and the broader literature. As a group, the various national and international studies have not found discernable stable and consistent relationships between producer price aggregates and consumer price aggregates that can be used for prediction.

This is unsurprising. Given the lack of evidence of a predictive link at the most disaggregated level for most basic commodities, it is even likely that to the extent that relationships are found in some time periods and not others, or with reverse causalities, spurious statistic random relationships predominate. At best, predictive power is muted and moderate. The substantial conclusion is the following. If there were strong IPPI increases to come, there is no evidence in the data that the CPI will increase to an extent where it moves outside the Bank of Canada target range. In general, there is no consistent relationship between the IPPI and CPI for the time period under examination.


Appendix: Granger causality tests
Table summary
This table displays the results of Granger causality tests. The information is grouped by Dependent var. (appearing as row headers), Independent var. , Time frame and Granger causality (appearing as column headers).
Dependent var. Independent var. Time frame Granger causality
CPI excl. energy PPI excl. energy 2001-2021 Yes
CPI-goods PPI 2001-2021 Yes
CPI-goods excl. energy PPI 1995-2018 Yes
CPI food PPI food (NAICS) 2001-2021 Yes
CPI meat PPI meat 2001-2021 Yes
CPI beef PPI beef 2001-2021 Bidirectional
CPI pork PPI pork 2001-2021 Bidirectional
CPI poultry PPI poultry 2001-2021 Yes
CPI butter PPI butter 2001-2021 Yes
CPI coffee PPI coffee 2001-2021 No
PPI bread PPI flour 2001-2021 No
CPI bred PPI flour 2001-2021 No
CPI bread PPI bread 2001-2021 No
CPI passenger vehicles PPI automotive (NAICS) 2001-2021 No
CPI cleaning products PPI cleaning products (NAICS) 2001-2021 Yes
CPI appliances PPI appliances (NAICS) 2001-2021 No
CPI appliances PPI appliances (NAPCS) 2001-2021 No
CPI furniture PPI furniture (NAICS) 2001-2021 No
CPI furniture PPI furniture (NAPCS) 2001-2021 No
CPI clothing PPI clothing (NAICS) 2001-2021 No
CPI tobacco PPI tobacco (NAICS) 2001-2021 Yes

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