According to recent data from the U.S. Bureau of Labor Statistics, in November 2017, the United State not seasonally adjusted Consumer Price Index for all Urban Consumers (CPI-U): Household furnishings and supplies for Washington-Baltimore, DC-MD-VA-WV was 81.586; no change from September 2017.
The US Inflation Rate of Household furnishings and supplies for Washington-Baltimore, DC-MD-VA-WV in November 2017 was -5.4%, not seasonally adjusted. The inflation rate represents the percent change of the CPI-U compared to a year ago.
The charts and table below shows the United States not seasonally adjusted historical Consumer Price Index and Inflation Rate for All Urban Consumers: Household furnishings and supplies for Washington-Baltimore, DC-MD-VA-WV from January 2010 to November 2017.
The Consumer Price Index (CPI) measures the change in prices paid by consumers for goods and services. The CPI of all urban consumers (CPI-U) reflects the spending patterns of all urban consumers which represents about 93 percent of the total US population. The CPI-U is based on the expenditures of almost all residents of urban or metropolitan areas, including professionals, the self-employed, the poor, the unemployed, and retired people, as well as urban wage earners and clerical workers.
Month | CPI-U for Household furnishings and supplies for Washington-Baltimore, DC-MD-VA-WV | % change from YAGO (Inflation Rate) |
---|---|---|
January 2010 | 99.32 | |
March 2010 | 99.524 | |
May 2010 | 99.091 | |
July 2010 | 97.541 | |
September 2010 | 98.645 | |
November 2010 | 96.771 | |
January 2011 | 95.585 | |
March 2011 | 94.834 | |
May 2011 | 94.185 | |
July 2011 | 93.844 | |
September 2011 | 93.242 | |
November 2011 | 93.695 | |
January 2012 | 93.933 | |
March 2012 | 93.357 | -6.2 |
May 2012 | 94.383 | -4.7 |
July 2012 | 93.984 | -3.6 |
September 2012 | 93.44 | -5.3 |
November 2012 | 93.459 | -3.4 |
January 2013 | 92.235 | -3.5 |
March 2013 | 92.936 | -2.0 |
May 2013 | 91.524 | -2.8 |
July 2013 | 91.966 | -2.0 |
September 2013 | 90.466 | -3.0 |
November 2013 | 88.275 | -5.8 |
January 2014 | 88.429 | -5.9 |
March 2014 | 89.121 | -4.5 |
May 2014 | 87.853 | -6.9 |
July 2014 | 88.212 | -6.1 |
September 2014 | 87.433 | -6.4 |
November 2014 | 86.715 | -7.2 |
January 2015 | 86.146 | -6.6 |
March 2015 | 86.749 | -6.7 |
May 2015 | 87.133 | -4.8 |
July 2015 | 86.092 | -6.4 |
September 2015 | 86.327 | -4.6 |
November 2015 | 86.249 | -2.3 |
January 2016 | 85.993 | -2.7 |
March 2016 | 84.731 | -4.9 |
May 2016 | 84.174 | -4.2 |
July 2016 | 83.763 | -5.0 |
September 2016 | 83.414 | -4.6 |
November 2016 | 83.02 | -4.3 |
January 2017 | 83.3 | -3.3 |
March 2017 | 83.443 | -3.8 |
May 2017 | 82.241 | -5.6 |
July 2017 | 81.849 | -4.9 |
September 2017 | 81.61 | -5.5 |
November 2017 | 81.586 | -5.4 |