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Joshua Klick and Anya Stockburger
The Consumer Price Index (CPI) measures price change (or inflation) faced by consumers. The best-known index, the CPI-U, depicts the inflation experience of all urban consumers. This may not reflect the actual inflation experience of any given household, as inflation rates can vary due to consumption preferences and actual prices paid. Research has shown that consumers with different incomes experience inflation quite differently. This Spotlight presents consumer price indexes for the lowest and highest household incomes to examine how different spending patterns change measures of inflation.
Income group | Median household income |
---|---|
All income groups |
$55,000 |
Lowest income quartile |
15,000 |
Highest income quartile |
153,000 |
To calculate inflation rates for different levels of income, we divide households into four equal groups (or quartiles) according to income. In 2018, the median household income for all urban consumer income levels was $55,000. The median household income for the highest quartile of urban consumers was $153,000, which was over ten times the median income for the lowest quartile.
Expenditure item | Lowest income quartile | Highest income quartile |
---|---|---|
Rent (including owner's equivalent rent) |
34.93% | 27.93% |
Food at home |
9.44 | 6.58 |
Medical care |
8.36 | 8.09 |
Household utilities |
4.36 | 2.73 |
Motor fuels |
3.46 | 3.42 |
Motor vehicle operations |
3.44 | 3.40 |
Telephone service |
2.32 | 2.00 |
Households earning the lowest income tend to have higher budget shares for rent, food, and medical care. The budget shares dedicated to motor fuels and vehicle operations such as parts, maintenance and repair, insurance, and fees are slightly greater for lower income households, compared with higher income households. While there is no standard definition of household essentials, these categories include several necessities.
Expenditure item | Lowest income quartile | Highest income quartile |
---|---|---|
Food away from home |
5.88% | 6.31% |
Recreation |
4.65 | 6.59 |
New and used vehicles |
4.43 | 7.87 |
Apparel |
2.46 | 2.94 |
Elementary, high school, and college tuition |
1.73 | 3.08 |
Lodging away from home |
0.44 | 1.37 |
Airfares |
0.34 | 0.86 |
Cell phones and computers |
0.32 | 0.43 |
Households with higher incomes tend to have a larger budget share for travel, entertainment, and clothing. Higher income households also spend more on cell phones, computers, and college education than lower income households. Higher income households dedicate almost double the budget share of lower income households to new and used vehicles. We used budget shares from 2017–2018 to calculate indexes in 2020 and 2021.
Month | All income groups (CPI-U) | Lowest income quartile | Highest income quartile |
---|---|---|---|
Dec 2003 |
100.000 | 100.000 | 100.000 |
Jan 2004 |
100.502 | 100.429 | 100.526 |
Feb 2004 |
101.051 | 100.929 | 101.077 |
Mar 2004 |
101.694 | 101.585 | 101.795 |
Apr 2004 |
102.010 | 101.898 | 102.095 |
May 2004 |
102.589 | 102.567 | 102.591 |
Jun 2004 |
102.928 | 102.955 | 102.886 |
Jul 2004 |
102.793 | 102.801 | 102.743 |
Aug 2004 |
102.820 | 102.862 | 102.732 |
Sep 2004 |
103.024 | 103.119 | 102.910 |
Oct 2004 |
103.594 | 103.551 | 103.539 |
Nov 2004 |
103.645 | 103.608 | 103.542 |
Dec 2004 |
103.264 | 103.240 | 103.101 |
Jan 2005 |
103.455 | 103.451 | 103.324 |
Feb 2005 |
104.053 | 103.990 | 103.977 |
Mar 2005 |
104.868 | 104.924 | 104.834 |
Apr 2005 |
105.577 | 105.624 | 105.469 |
May 2005 |
105.497 | 105.559 | 105.350 |
Jun 2005 |
105.526 | 105.582 | 105.340 |
Jul 2005 |
105.996 | 106.085 | 105.772 |
Aug 2005 |
106.545 | 106.689 | 106.280 |
Sep 2005 |
107.851 | 108.023 | 107.436 |
Oct 2005 |
108.081 | 108.203 | 107.709 |
Nov 2005 |
107.222 | 107.350 | 106.844 |
Dec 2005 |
106.744 | 106.866 | 106.334 |
Jan 2006 |
107.559 | 107.634 | 107.155 |
Feb 2006 |
107.794 | 107.781 | 107.466 |
Mar 2006 |
108.412 | 108.320 | 108.144 |
Apr 2006 |
109.299 | 109.154 | 109.005 |
May 2006 |
109.840 | 109.705 | 109.513 |
Jun 2006 |
110.071 | 110.003 | 109.701 |
Jul 2006 |
110.394 | 110.271 | 110.027 |
Aug 2006 |
110.638 | 110.630 | 110.253 |
Sep 2006 |
110.086 | 110.240 | 109.721 |
Oct 2006 |
109.492 | 109.640 | 109.227 |
Nov 2006 |
109.321 | 109.566 | 108.989 |
Dec 2006 |
109.489 | 109.757 | 109.086 |
Jan 2007 |
109.810 | 110.060 | 109.436 |
Feb 2007 |
110.383 | 110.589 | 110.057 |
Mar 2007 |
111.387 | 111.563 | 111.002 |
Apr 2007 |
112.107 | 112.284 | 111.661 |
May 2007 |
112.790 | 113.042 | 112.221 |
Jun 2007 |
113.012 | 113.289 | 112.448 |
Jul 2007 |
112.996 | 113.298 | 112.451 |
Aug 2007 |
112.786 | 113.162 | 112.246 |
Sep 2007 |
113.094 | 113.551 | 112.507 |
Oct 2007 |
113.335 | 113.775 | 112.761 |
Nov 2007 |
114.013 | 114.520 | 113.293 |
Dec 2007 |
113.936 | 114.514 | 113.162 |
Jan 2008 |
114.497 | 115.075 | 113.723 |
Feb 2008 |
114.834 | 115.383 | 114.095 |
Mar 2008 |
115.829 | 116.307 | 115.089 |
Apr 2008 |
116.526 | 117.123 | 115.628 |
May 2008 |
117.503 | 118.096 | 116.505 |
Jun 2008 |
118.681 | 119.312 | 117.578 |
Jul 2008 |
119.303 | 119.964 | 118.200 |
Aug 2008 |
118.821 | 119.679 | 117.729 |
Sep 2008 |
118.655 | 119.624 | 117.569 |
Oct 2008 |
117.465 | 118.511 | 116.505 |
Nov 2008 |
115.214 | 116.553 | 114.336 |
Dec 2008 |
114.026 | 115.525 | 113.156 |
Jan 2009 |
114.525 | 115.971 | 113.662 |
Feb 2009 |
115.093 | 116.427 | 114.264 |
Mar 2009 |
115.370 | 116.678 | 114.560 |
Apr 2009 |
115.660 | 116.978 | 114.815 |
May 2009 |
115.991 | 117.281 | 115.073 |
Jun 2009 |
116.982 | 118.214 | 115.952 |
Jul 2009 |
116.794 | 118.012 | 115.805 |
Aug 2009 |
117.054 | 118.326 | 116.042 |
Sep 2009 |
117.129 | 118.445 | 116.128 |
Oct 2009 |
117.241 | 118.494 | 116.240 |
Nov 2009 |
117.326 | 118.668 | 116.190 |
Dec 2009 |
117.125 | 118.568 | 115.920 |
Jan 2010 |
117.526 | 119.016 | 116.241 |
Feb 2010 |
117.558 | 119.003 | 116.306 |
Mar 2010 |
118.046 | 119.451 | 116.785 |
Apr 2010 |
118.252 | 119.610 | 116.998 |
May 2010 |
118.342 | 119.674 | 117.093 |
Jun 2010 |
118.226 | 119.619 | 116.965 |
Jul 2010 |
118.253 | 119.671 | 116.990 |
Aug 2010 |
118.414 | 119.913 | 117.110 |
Sep 2010 |
118.485 | 120.040 | 117.182 |
Oct 2010 |
118.634 | 120.150 | 117.340 |
Nov 2010 |
118.680 | 120.226 | 117.341 |
Dec 2010 |
118.886 | 120.473 | 117.482 |
Jan 2011 |
119.456 | 121.041 | 118.006 |
Feb 2011 |
120.035 | 121.603 | 118.573 |
Mar 2011 |
121.206 | 122.696 | 119.674 |
Apr 2011 |
121.982 | 123.399 | 120.393 |
May 2011 |
122.563 | 123.919 | 120.938 |
Jun 2011 |
122.433 | 123.828 | 120.848 |
Jul 2011 |
122.543 | 123.978 | 120.953 |
Aug 2011 |
122.881 | 124.426 | 121.270 |
Sep 2011 |
123.066 | 124.694 | 121.422 |
Oct 2011 |
122.811 | 124.470 | 121.203 |
Nov 2011 |
122.710 | 124.403 | 121.086 |
Dec 2011 |
122.406 | 124.173 | 120.764 |
Jan 2012 |
122.960 | 124.813 | 121.293 |
Feb 2012 |
123.485 | 125.231 | 121.812 |
Mar 2012 |
124.425 | 126.083 | 122.698 |
Apr 2012 |
124.802 | 126.418 | 123.056 |
May 2012 |
124.651 | 126.264 | 122.952 |
Jun 2012 |
124.470 | 126.126 | 122.810 |
Jul 2012 |
124.267 | 126.007 | 122.605 |
Aug 2012 |
124.957 | 126.712 | 123.247 |
Sep 2012 |
125.521 | 127.281 | 123.771 |
Oct 2012 |
125.474 | 127.263 | 123.773 |
Nov 2012 |
124.871 | 126.723 | 123.204 |
Dec 2012 |
124.535 | 126.397 | 122.862 |
Jan 2013 |
124.910 | 126.852 | 123.237 |
Feb 2013 |
125.934 | 127.797 | 124.184 |
Mar 2013 |
126.263 | 128.086 | 124.496 |
Apr 2013 |
126.126 | 127.970 | 124.401 |
May 2013 |
126.348 | 128.175 | 124.625 |
Jun 2013 |
126.651 | 128.533 | 124.868 |
Jul 2013 |
126.698 | 128.605 | 124.922 |
Aug 2013 |
126.850 | 128.834 | 125.046 |
Sep 2013 |
127.006 | 129.000 | 125.190 |
Oct 2013 |
126.677 | 128.750 | 124.870 |
Nov 2013 |
126.413 | 128.384 | 124.677 |
Dec 2013 |
126.404 | 128.442 | 124.631 |
Jan 2014 |
126.870 | 128.970 | 125.037 |
Feb 2014 |
127.340 | 129.411 | 125.502 |
Mar 2014 |
128.155 | 130.225 | 126.269 |
Apr 2014 |
128.581 | 130.640 | 126.678 |
May 2014 |
129.031 | 131.056 | 127.142 |
Jun 2014 |
129.281 | 131.391 | 127.318 |
Jul 2014 |
129.224 | 131.407 | 127.239 |
Aug 2014 |
129.003 | 131.327 | 127.010 |
Sep 2014 |
129.099 | 131.495 | 127.104 |
Oct 2014 |
128.774 | 131.171 | 126.857 |
Nov 2014 |
128.080 | 130.535 | 126.227 |
Dec 2014 |
127.350 | 129.979 | 125.495 |
Jan 2015 |
126.750 | 129.406 | 125.016 |
Feb 2015 |
127.299 | 129.948 | 125.518 |
Mar 2015 |
128.056 | 130.620 | 126.274 |
Apr 2015 |
128.319 | 130.837 | 126.553 |
May 2015 |
128.977 | 131.429 | 127.204 |
Jun 2015 |
129.434 | 131.959 | 127.589 |
Jul 2015 |
129.443 | 132.054 | 127.560 |
Aug 2015 |
129.259 | 132.000 | 127.375 |
Sep 2015 |
129.053 | 131.867 | 127.237 |
Oct 2015 |
128.994 | 131.794 | 127.219 |
Nov 2015 |
128.723 | 131.563 | 126.981 |
Dec 2015 |
128.284 | 131.202 | 126.529 |
Jan 2016 |
128.495 | 131.375 | 126.785 |
Feb 2016 |
128.599 | 131.438 | 126.971 |
Mar 2016 |
129.154 | 131.943 | 127.478 |
Apr 2016 |
129.768 | 132.509 | 128.082 |
May 2016 |
130.292 | 132.978 | 128.605 |
Jun 2016 |
130.721 | 133.459 | 128.979 |
Jul 2016 |
130.513 | 133.372 | 128.740 |
Aug 2016 |
130.634 | 133.584 | 128.818 |
Sep 2016 |
130.948 | 133.944 | 129.114 |
Oct 2016 |
131.107 | 134.072 | 129.305 |
Nov 2016 |
130.902 | 133.905 | 129.083 |
Dec 2016 |
130.941 | 134.017 | 129.058 |
Jan 2017 |
131.699 | 134.714 | 129.810 |
Feb 2017 |
132.119 | 135.116 | 130.265 |
Mar 2017 |
132.226 | 135.232 | 130.366 |
Apr 2017 |
132.615 | 135.620 | 130.746 |
May 2017 |
132.732 | 135.742 | 130.858 |
Jun 2017 |
132.854 | 135.959 | 130.945 |
Jul 2017 |
132.769 | 136.001 | 130.811 |
Aug 2017 |
133.168 | 136.477 | 131.148 |
Sep 2017 |
133.869 | 137.182 | 131.809 |
Oct 2017 |
133.787 | 137.121 | 131.774 |
Nov 2017 |
133.782 | 137.190 | 131.708 |
Dec 2017 |
133.694 | 137.166 | 131.589 |
Jan 2018 |
134.424 | 137.839 | 132.308 |
Feb 2018 |
135.041 | 138.475 | 132.913 |
Mar 2018 |
135.348 | 138.722 | 133.258 |
Apr 2018 |
135.884 | 139.255 | 133.767 |
May 2018 |
136.446 | 139.775 | 134.302 |
Jun 2018 |
136.663 | 140.005 | 134.481 |
Jul 2018 |
136.679 | 140.031 | 134.520 |
Aug 2018 |
136.750 | 140.185 | 134.564 |
Sep 2018 |
136.905 | 140.415 | 134.719 |
Oct 2018 |
137.152 | 140.700 | 134.970 |
Nov 2018 |
136.682 | 140.316 | 134.490 |
Dec 2018 |
136.250 | 139.918 | 134.119 |
Jan 2019 |
136.517 | 140.150 | 134.459 |
Feb 2019 |
137.089 | 140.694 | 135.017 |
Mar 2019 |
137.862 | 141.436 | 135.747 |
Apr 2019 |
138.589 | 142.077 | 136.428 |
May 2019 |
138.889 | 142.309 | 136.753 |
Jun 2019 |
138.924 | 142.394 | 136.800 |
Jul 2019 |
139.159 | 142.677 | 136.987 |
Aug 2019 |
139.144 | 142.713 | 136.969 |
Sep 2019 |
139.248 | 142.912 | 137.067 |
Oct 2019 |
139.564 | 143.245 | 137.328 |
Nov 2019 |
139.490 | 143.219 | 137.231 |
Dec 2019 |
139.362 | 143.169 | 137.041 |
Jan 2020 |
139.901 | 143.693 | 137.612 |
Feb 2020 |
140.291 | 143.968 | 138.075 |
Mar 2020 |
139.984 | 143.799 | 137.718 |
Apr 2020 |
139.044 | 143.144 | 136.737 |
May 2020 |
139.052 | 143.078 | 136.789 |
Jun 2020 |
139.818 | 143.887 | 137.446 |
Jul 2020 |
140.521 | 144.562 | 138.099 |
Aug 2020 |
140.967 | 144.940 | 138.518 |
Sep 2020 |
141.164 | 145.159 | 138.721 |
Oct 2020 |
141.223 | 145.246 | 138.801 |
Nov 2020 |
141.140 | 145.161 | 138.697 |
Dec 2020 |
141.271 | 145.358 | 138.786 |
Jan 2021 |
141.868 | 146.034 | 139.305 |
Feb 2021 |
142.644 | 146.788 | 140.042 |
Mar 2021 |
143.661 | 147.731 | 141.004 |
Apr 2021 |
144.844 | 148.732 | 142.225 |
May 2021 |
146.005 | 149.715 | 143.424 |
Jun 2021 |
147.368 | 150.878 | 144.814 |
Jul 2021 |
148.074 | 151.551 | 145.488 |
Aug 2021 |
148.378 | 151.968 | 145.715 |
Sep 2021 |
148.775 | 152.541 | 146.053 |
Oct 2021 |
150.016 | 153.810 | 147.231 |
Nov 2021 |
150.751 | 154.476 | 147.951 |
Dec 2021 |
151.210 | 154.921 | 148.411 |
Using budget shares for the lowest and highest income quartile of urban households, we can calculate different measures of price change. The lowest income households tend to face higher inflation rates than all urban households, and the highest income households tend to face lower inflation rates than all urban households. This method only captures some of the differences in inflation rates experienced by different households. In addition to different budget shares, high- and low-income households may shop at different stores or buy different brands or types of products. BLS does not have sufficient data to account for these differences that could affect the measure of price change. Nonetheless, these measures provide an insight into differing inflation rates across the income distribution.
Measure | CPI | Chained CPI |
---|---|---|
Inflation estimate for lowest income quartile minus inflation estimate for highest income households |
0.29% | 0.41% |
From 2005 to 2020, the lowest income households faced an average annual inflation rate that was 0.29 percentage points higher than the highest income households. BLS calculates another measure of inflation, the Chained CPI, that accounts for changes in what consumers buy. Since consumers generally shift their spending away from things that are becoming more expensive (and towards things that are becoming less expensive), the Chained CPI is usually a lower measure of inflation than the CPI. This is particularly true for the highest income households. When accounting for spending changes, the difference in inflation rates between the lowest and highest income households was even larger (0.41 percentage points).
Item | 2005–2020 average 12-month change |
---|---|
Tuition, other school fees, and childcare |
4.03% |
Motor Fuel* |
3.45 |
Medical Care* |
3.28 |
Rent* |
3.06 |
Food away from home |
2.86 |
Fuel and utilities* |
2.71 |
All items |
2.00 |
Food at home* |
1.89 |
Lodging away from home |
1.16 |
Recreation |
0.74 |
New and used motor vehicles |
0.43 |
Apparel |
-0.10 |
Telephone services* |
-0.20 |
From 2005 through 2020, prices of many of the goods and services that had larger budget shares for lower income households rose faster than all other items. Prices for motor fuel, medical care, fuel and utilities, and shelter rose faster than the overall average of about 2.0 percent per year. Because the lowest income households dedicate more of their spending on these categories, their overall inflation rates grew faster than highest income households. Conversely, prices for lodging away from home (including hotels and motels), recreation, and new and used motor vehicles rose less than 2.0 percent per year and prices for clothing fell. This contributes to inflation rates for highest income households rising more slowly than for all urban consumers.
Note: Categories marked with asterisks were classified as “essential” in an earlier slide.
Month | 12-month percent change in CPI for lowest income quartile minus highest income quartile |
---|---|
Jan 2005 |
0.23 percentile point |
Feb 2005 |
0.16 |
Mar 2005 |
0.30 |
Apr 2005 |
0.35 |
May 2005 |
0.23 |
Jun 2005 |
0.17 |
Jul 2005 |
0.25 |
Aug 2005 |
0.27 |
Sep 2005 |
0.36 |
Oct 2005 |
0.47 |
Nov 2005 |
0.42 |
Dec 2005 |
0.38 |
Jan 2006 |
0.34 |
Feb 2006 |
0.29 |
Mar 2006 |
0.08 |
Apr 2006 |
-0.01 |
May 2006 |
-0.02 |
Jun 2006 |
0.05 |
Jul 2006 |
-0.08 |
Aug 2006 |
-0.04 |
Sep 2006 |
-0.07 |
Oct 2006 |
-0.08 |
Nov 2006 |
0.06 |
Dec 2006 |
0.12 |
Jan 2007 |
0.13 |
Feb 2007 |
0.19 |
Mar 2007 |
0.35 |
Apr 2007 |
0.43 |
May 2007 |
0.57 |
Jun 2007 |
0.48 |
Jul 2007 |
0.54 |
Aug 2007 |
0.48 |
Sep 2007 |
0.46 |
Oct 2007 |
0.54 |
Nov 2007 |
0.57 |
Dec 2007 |
0.60 |
Jan 2008 |
0.64 |
Feb 2008 |
0.67 |
Mar 2008 |
0.57 |
Apr 2008 |
0.76 |
May 2008 |
0.65 |
Jun 2008 |
0.75 |
Jul 2008 |
0.77 |
Aug 2008 |
0.87 |
Sep 2008 |
0.85 |
Oct 2008 |
0.84 |
Nov 2008 |
0.85 |
Dec 2008 |
0.89 |
Jan 2009 |
0.83 |
Feb 2009 |
0.76 |
Mar 2009 |
0.78 |
Apr 2009 |
0.58 |
May 2009 |
0.54 |
Jun 2009 |
0.46 |
Jul 2009 |
0.40 |
Aug 2009 |
0.30 |
Sep 2009 |
0.24 |
Oct 2009 |
0.21 |
Nov 2009 |
0.19 |
Dec 2009 |
0.19 |
Jan 2010 |
0.36 |
Feb 2010 |
0.43 |
Mar 2010 |
0.43 |
Apr 2010 |
0.35 |
May 2010 |
0.28 |
Jun 2010 |
0.31 |
Jul 2010 |
0.38 |
Aug 2010 |
0.42 |
Sep 2010 |
0.44 |
Oct 2010 |
0.45 |
Nov 2010 |
0.32 |
Dec 2010 |
0.26 |
Jan 2011 |
0.18 |
Feb 2011 |
0.24 |
Mar 2011 |
0.24 |
Apr 2011 |
0.27 |
May 2011 |
0.26 |
Jun 2011 |
0.20 |
Jul 2011 |
0.21 |
Aug 2011 |
0.21 |
Sep 2011 |
0.26 |
Oct 2011 |
0.30 |
Nov 2011 |
0.28 |
Dec 2011 |
0.28 |
Jan 2012 |
0.33 |
Feb 2012 |
0.25 |
Mar 2012 |
0.23 |
Apr 2012 |
0.23 |
May 2012 |
0.23 |
Jun 2012 |
0.23 |
Jul 2012 |
0.27 |
Aug 2012 |
0.21 |
Sep 2012 |
0.14 |
Oct 2012 |
0.12 |
Nov 2012 |
0.12 |
Dec 2012 |
0.05 |
Jan 2013 |
0.03 |
Feb 2013 |
0.10 |
Mar 2013 |
0.12 |
Apr 2013 |
0.13 |
May 2013 |
0.15 |
Jun 2013 |
0.23 |
Jul 2013 |
0.17 |
Aug 2013 |
0.22 |
Sep 2013 |
0.20 |
Oct 2013 |
0.28 |
Nov 2013 |
0.12 |
Dec 2013 |
0.18 |
Jan 2014 |
0.21 |
Feb 2014 |
0.20 |
Mar 2014 |
0.25 |
Apr 2014 |
0.26 |
May 2014 |
0.23 |
Jun 2014 |
0.26 |
Jul 2014 |
0.32 |
Aug 2014 |
0.36 |
Sep 2014 |
0.40 |
Oct 2014 |
0.29 |
Nov 2014 |
0.43 |
Dec 2014 |
0.50 |
Jan 2015 |
0.36 |
Feb 2015 |
0.40 |
Mar 2015 |
0.30 |
Apr 2015 |
0.25 |
May 2015 |
0.24 |
Jun 2015 |
0.22 |
Jul 2015 |
0.24 |
Aug 2015 |
0.23 |
Sep 2015 |
0.18 |
Oct 2015 |
0.19 |
Nov 2015 |
0.19 |
Dec 2015 |
0.12 |
Jan 2016 |
0.11 |
Feb 2016 |
-0.01 |
Mar 2016 |
0.06 |
Apr 2016 |
0.07 |
May 2016 |
0.08 |
Jun 2016 |
0.05 |
Jul 2016 |
0.07 |
Aug 2016 |
0.07 |
Sep 2016 |
0.10 |
Oct 2016 |
0.09 |
Nov 2016 |
0.12 |
Dec 2016 |
0.15 |
Jan 2017 |
0.16 |
Feb 2017 |
0.20 |
Mar 2017 |
0.23 |
Apr 2017 |
0.27 |
May 2017 |
0.33 |
Jun 2017 |
0.35 |
Jul 2017 |
0.36 |
Aug 2017 |
0.36 |
Sep 2017 |
0.33 |
Oct 2017 |
0.36 |
Nov 2017 |
0.42 |
Dec 2017 |
0.39 |
Jan 2018 |
0.40 |
Feb 2018 |
0.45 |
Mar 2018 |
0.36 |
Apr 2018 |
0.37 |
May 2018 |
0.34 |
Jun 2018 |
0.27 |
Jul 2018 |
0.13 |
Aug 2018 |
0.11 |
Sep 2018 |
0.15 |
Oct 2018 |
0.18 |
Nov 2018 |
0.17 |
Dec 2018 |
0.08 |
Jan 2019 |
0.05 |
Feb 2019 |
0.02 |
Mar 2019 |
0.09 |
Apr 2019 |
0.04 |
May 2019 |
-0.01 |
Jun 2019 |
-0.02 |
Jul 2019 |
0.06 |
Aug 2019 |
0.02 |
Sep 2019 |
0.04 |
Oct 2019 |
0.06 |
Nov 2019 |
0.03 |
Dec 2019 |
0.14 |
Jan 2020 |
0.18 |
Feb 2020 |
0.06 |
Mar 2020 |
0.22 |
Apr 2020 |
0.52 |
May 2020 |
0.51 |
Jun 2020 |
0.58 |
Jul 2020 |
0.51 |
Aug 2020 |
0.43 |
Sep 2020 |
0.37 |
Oct 2020 |
0.33 |
Nov 2020 |
0.29 |
Dec 2020 |
0.26 |
Jan 2021 |
0.40 |
Feb 2021 |
0.53 |
Mar 2021 |
0.35 |
Apr 2021 |
-0.11 |
May 2021 |
-0.21 |
Jun 2021 |
-0.50 |
Jul 2021 |
-0.52 |
Aug 2021 |
-0.35 |
Sep 2021 |
-0.20 |
Oct 2021 |
-0.18 |
Nov 2021 |
-0.25 |
Dec 2021 |
-0.36 |
Inflation rates for the lowest income households were larger than for the highest income households from 2005 through 2020. The largest difference was in late 2008, when the lowest income households experienced inflation rates 0.8 percentage points higher than higher income households. There have been brief periods when the inflation rates were equal, and when the highest income households had larger inflation rates (a negative difference in the chart). In 2021, it was an exceptional year in which the inflation rates of the highest income households were consistently higher than lowest income households from April through December.
Expenditure item | All income (CIP-U) | Lowest income quartile | Highest income quartile |
---|---|---|---|
New and used motor vehicles |
1.6% | 1.1% | 1.7 |
Motor fuel |
1.4 | 1.3 | 1.3 |
Rent (including owners equivalent rent) |
1.2 | 1.4 | 1.0 |
Food at home |
0.5 | 0.6 | 0.4 |
Fuel and utilities |
0.4 | 0.5 | 0.4 |
Food away from home |
0.4 | 0.4 | 0.4 |
Lodging away from home |
0.2 | 0.1 | 0.3 |
Medical care |
0.2 | 0.2 | 0.2 |
Recreation |
0.2 | 0.2 | 0.2 |
Apparel |
0.2 | 0.1 | 0.2 |
Tuition, other school fees, and childcare |
0.1 | 0.0 | 0.1 |
Telephone services |
0.0 | 0.0 | 0.0 |
The annual inflation rate in December 2021 was 7.0 percent for all urban households, 6.6 percent for the lowest income households, and 6.9 percent for the highest income households. Although it is not unusual that middle-income households face higher inflation rates than other households, it is unusual for highest income households to face higher inflation rates than lowest income households. Price increases for new and used motor vehicles and lodging away from home accounted for a larger portion of the inflation rate for higher income than lower income households. Price increases on motor fuels, rent, food at home, and fuel and utilities contributed a larger portion of the inflation rate for lower income than higher income households.
Joshua Klick and Anya Stockburger are economists in the Office of Price and Living Conditions, Bureau of Labor Statistics. For questions about this Spotlight, please email cpi_info@bls.gov.
More technical detail about these issues can be found in the working paper Experimental CPI for lower and higher income households.
The data in this Spotlight on Statistics come from the Consumer Price Index. Find out more about the Consumer Price Index. To calculate the CPI, BLS collects about 90,000 prices of goods and services and 8,000 rents every month. The change in these prices and rents over time are averaged together for over 200 item categories in 32 cities across the United States. Budget shares are used to average across those 200 items in 32 cities to estimate overall price change for urban consumers.
Data from the Consumer Expenditure Surveys are used to construct the CPI.
The CPI for the lowest and highest income households are research series. Find out more about the methods used to create these indexes: Experimental CPI for lower and higher income households (PDF).