This site has been revised to provide inflation conversion factors for 2017 using final inflation data, and for 2018, using estimates from early 2018 by the Office of Management and Budget (OMB), and Congressional Budget Office (CBO).

Tables for 1774 to estimated 2028 and the conversion factor tables for 2017, and estimated 2018 were revised August 14, 2018, for both pdf and Excel files.

Excel file with column-format conversion factors 1774 to estimated 2028 have been revised to reflect final 2017 CPI.

For ease of printing, the same conversion factors also are available in pdf format: Conversion factors 1774 to estimated 2028.

The above tables show conversion factors for CPI (1982-84 Dollars) and dollars of 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, estimated 2018, CPI-U-X1 (2017 dollars), and CPI-U-RS (an experimental measure, using 2017 dollars, and updated CPI-U-RS data from the Bureau of Labor Statistics, also in 2017 dollars). This file provides both conversion factors for each of those inflation measures and also inflation rates using CPI-U for years starting 1774, CPI-U-RS for years starting 1947, and CPI-U-X1 for years starting 1950.  These files also show "chain-weighted" inflation data, a topic of recent interest.

For inflation assumptions for years  2018 to 2028, see the main page of this site.

Data prior to 1913 are estimates so must be considered with extra caution; data for 1913 to the present involve data from the Bureau of Labor Statistics, though the specific methods of data collection have changed during that period. Use special caution concerning data prior to 1913.

Strongly recommended:  ROUND all dollar figures using these conversion factors, especially for years prior to 1913, e.g., $14,663 becomes $14,700, and preferably—especially for early years—to $15,000. Similarly, round dollars derived for years 1913 to the present to, for example, $14,660.

Important:  Stating dollar figure conversions in dollars and cents nearly always suggests more precision than the data allow.