# Note on Adjusting Dollar Amount Variables for Inflation (CPI-U)

All dollar amounts in the IPUMS are nominal dollars--that is, they are given as measured in the original sample. However, inflation renders these dollar amounts not comparable: $1 in 2009, for example, is worth much less than $1 in 1962. The IPUMS variable CPI99 provides an easy way to adjust dollar amounts to constant dollars. This variable, constant within years, inflates or deflates dollar amounts to the amount they would have represented in 1999 (which corresponds to the 2000 CPS)--as shown in Table 1.

Data Year | Income Year | X | CPI99 | = | 1999 dollars |
---|---|---|---|---|---|

1962 | 1961 dollars | X | 5.572 | = | 1999 dollars |

1963 | 1962 dollars | X | 5.517 | = | 1999 dollars |

1964 | 1963 dollars | X | 5.444 | = | 1999 dollars |

1965 | 1964 dollars | X | 5.374 | = | 1999 dollars |

1966 | 1965 dollars | X | 5.289 | = | 1999 dollars |

1967 | 1966 dollars | X | 5.142 | = | 1999 dollars |

1968 | 1967 dollars | X | 4.988 | = | 1999 dollars |

1969 | 1968 dollars | X | 4.787 | = | 1999 dollars |

1970 | 1969 dollars | X | 4.540 | = | 1999 dollars |

1971 | 1970 dollars | X | 4.294 | = | 1999 dollars |

1972 | 1971 dollars | X | 4.114 | = | 1999 dollars |

1973 | 1972 dollars | X | 3.986 | = | 1999 dollars |

1974 | 1973 dollars | X | 3.752 | = | 1999 dollars |

1975 | 1974 dollars | X | 3.379 | = | 1999 dollars |

1976 | 1975 dollars | X | 3.097 | = | 1999 dollars |

1977 | 1976 dollars | X | 2.928 | = | 1999 dollars |

1978 | 1977 dollars | X | 2.749 | = | 1999 dollars |

1979 | 1978 dollars | X | 2.555 | = | 1999 dollars |

1980 | 1979 dollars | X | 2.295 | = | 1999 dollars |

1981 | 1980 dollars | X | 2.022 | = | 1999 dollars |

1982 | 1981 dollars | X | 1.833 | = | 1999 dollars |

1983 | 1982 dollars | X | 1.726 | = | 1999 dollars |

1984 | 1983 dollars | X | 1.673 | = | 1999 dollars |

1985 | 1984 dollars | X | 1.603 | = | 1999 dollars |

1986 | 1985 dollars | X | 1.548 | = | 1999 dollars |

1987 | 1986 dollars | X | 1.520 | = | 1999 dollars |

1988 | 1987 dollars | X | 1.467 | = | 1999 dollars |

1989 | 1988 dollars | X | 1.408 | = | 1999 dollars |

1990 | 1989 dollars | X | 1.344 | = | 1999 dollars |

1991 | 1990 dollars | X | 1.275 | = | 1999 dollars |

1992 | 1991 dollars | X | 1.223 | = | 1999 dollars |

1993 | 1992 dollars | X | 1.187 | = | 1999 dollars |

1994 | 1993 dollars | X | 1.153 | = | 1999 dollars |

1995 | 1994 dollars | X | 1.124 | = | 1999 dollars |

1996 | 1995 dollars | X | 1.093 | = | 1999 dollars |

1997 | 1996 dollars | X | 1.062 | = | 1999 dollars |

1998 | 1997 dollars | X | 1.038 | = | 1999 dollars |

1999 | 1998 dollars | X | 1.022 | = | 1999 dollars |

2000 | 1999 dollars | X | 1.000 | = | 1999 dollars |

2001 | 2000 dollars | X | 0.967 | = | 1999 dollars |

2002 | 2001 dollars | X | 0.941 | = | 1999 dollars |

2003 | 2002 dollars | X | 0.926 | = | 1999 dollars |

2004 | 2003 dollars | X | 0.905 | = | 1999 dollars |

2005 | 2004 dollars | X | 0.882 | = | 1999 dollars |

2006 | 2005 dollars | X | 0.853 | = | 1999 dollars |

2007 | 2006 dollars | X | 0.826 | = | 1999 dollars |

2008 | 2007 dollars | X | 0.804 | = | 1999 dollars |

2009 | 2008 dollars | X | 0.774 | = | 1999 dollars |

2010 | 2009 dollars | X | 0.777 | = | 1999 dollars |

2011 | 2010 dollars | X | 0.764 | = | 1999 dollars |

2012 | 2011 dollars | X | 0.741 | = | 1999 dollars |

2013 | 2012 dollars | X | 0.726 | = | 1999 dollars |

2014 | 2013 dollars | X | 0.715 | = | 1999 dollars |

2015 | 2014 dollars | X | 0.704 | = | 1999 dollars |

2016 | 2015 dollars | X | 0.703 | = | 1999 dollars |

2017 | 2016 dollars | X | 0.694 | = | 1999 dollars |

2018 | 2017 dollars | X | 0.679 | = | 1999 dollars |

2019 | 2018 dollars | X | 0.663 | = | 1999 dollars |

2020 | 2019 dollars | X | 0.652 | = | 1999 dollars |

2021 | 2020 dollars | X | 0.644 | = | 1999 dollars |

2022 | 2021 dollars | X | 0.615 | = | 1999 dollars |

The 1999 base year was chosen simply for convenience; adjusting to some other year would yield identical correlations, regression coefficients, inequality measures, and the like. However, after using CPI99 to convert nominal dollars to 1999 dollars, users who desire another base year for simple descriptive statistics can easily adjust 1999 dollars to 1939 dollars, 1949 dollars, or any other year by making use of the alternate factors provided in Table 2.

1999 dollars | X | Alternate Factor | = | Income Year | Data Year |
---|---|---|---|---|---|

1999 dollars | X | 0.179 | = | 1961 dollars | 1962 |

1999 dollars | X | 0.181 | = | 1962 dollars | 1963 |

1999 dollars | X | 0.184 | = | 1963 dollars | 1964 |

1999 dollars | X | 0.186 | = | 1964 dollars | 1965 |

1999 dollars | X | 0.189 | = | 1965 dollars | 1966 |

1999 dollars | X | 0.194 | = | 1966 dollars | 1967 |

1999 dollars | X | 0.200 | = | 1967 dollars | 1968 |

1999 dollars | X | 0.209 | = | 1968 dollars | 1969 |

1999 dollars | X | 0.220 | = | 1969 dollars | 1970 |

1999 dollars | X | 0.233 | = | 1970 dollars | 1971 |

1999 dollars | X | 0.243 | = | 1971 dollars | 1972 |

1999 dollars | X | 0.251 | = | 1972 dollars | 1973 |

1999 dollars | X | 0.267 | = | 1973 dollars | 1974 |

1999 dollars | X | 0.296 | = | 1974 dollars | 1975 |

1999 dollars | X | 0.323 | = | 1975 dollars | 1976 |

1999 dollars | X | 0.342 | = | 1976 dollars | 1977 |

1999 dollars | X | 0.364 | = | 1977 dollars | 1978 |

1999 dollars | X | 0.391 | = | 1978 dollars | 1979 |

1999 dollars | X | 0.436 | = | 1979 dollars | 1980 |

1999 dollars | X | 0.495 | = | 1980 dollars | 1981 |

1999 dollars | X | 0.546 | = | 1981 dollars | 1982 |

1999 dollars | X | 0.579 | = | 1982 dollars | 1983 |

1999 dollars | X | 0.598 | = | 1983 dollars | 1984 |

1999 dollars | X | 0.624 | = | 1984 dollars | 1985 |

1999 dollars | X | 0.646 | = | 1985 dollars | 1986 |

1999 dollars | X | 0.658 | = | 1986 dollars | 1987 |

1999 dollars | X | 0.682 | = | 1987 dollars | 1988 |

1999 dollars | X | 0.710 | = | 1988 dollars | 1989 |

1999 dollars | X | 0.744 | = | 1989 dollars | 1990 |

1999 dollars | X | 0.785 | = | 1990 dollars | 1991 |

1999 dollars | X | 0.818 | = | 1991 dollars | 1992 |

1999 dollars | X | 0.842 | = | 1992 dollars | 1993 |

1999 dollars | X | 0.867 | = | 1993 dollars | 1994 |

1999 dollars | X | 0.890 | = | 1994 dollars | 1995 |

1999 dollars | X | 0.915 | = | 1995 dollars | 1996 |

1999 dollars | X | 0.942 | = | 1996 dollars | 1997 |

1999 dollars | X | 0.963 | = | 1997 dollars | 1998 |

1999 dollars | X | 0.978 | = | 1998 dollars | 1999 |

1999 dollars | X | 1.000 | = | 1999 dollars | 2000 |

1999 dollars | X | 1.034 | = | 2000 dollars | 2001 |

1999 dollars | X | 1.063 | = | 2001 dollars | 2002 |

1999 dollars | X | 1.080 | = | 2002 dollars | 2003 |

1999 dollars | X | 1.104 | = | 2003 dollars | 2004 |

1999 dollars | X | 1.134 | = | 2004 dollars | 2005 |

1999 dollars | X | 1.172 | = | 2005 dollars | 2006 |

1999 dollars | X | 1.210 | = | 2006 dollars | 2007 |

1999 dollars | X | 1.245 | = | 2007 dollars | 2008 |

1999 dollars | X | 1.292 | = | 2008 dollars | 2009 |

1999 dollars | X | 1.287 | = | 2009 dollars | 2010 |

1999 dollars | X | 1.309 | = | 2010 dollars | 2011 |

1999 dollars | X | 1.350 | = | 2011 dollars | 2012 |

1999 dollars | X | 1.377 | = | 2012 dollars | 2013 |

1999 dollars | X | 1.399 | = | 2013 dollars | 2014 |

1999 dollars | X | 1.420 | = | 2014 dollars | 2015 |

1999 dollars | X | 1.430 | = | 2015 dollars | 2016 |

1999 dollars | X | 1.440 | = | 2016 dollars | 2017 |

1999 dollars | X | 1.471 | = | 2017 dollars | 2018 |

1999 dollars | X | 1.507 | = | 2018 dollars | 2019 |

1999 dollars | X | 1.535 | = | 2019 dollars | 2020 |

1999 dollars | X | 1.553 | = | 2020 dollars | 2021 |

1999 dollars | X | 1.626 | = | 2021 dollars | 2022 |

For instance, consider the following dataset, where Inc99 = Income X CPI99:

Case | Year | Income | CPI99 | Inc99 |
---|---|---|---|---|

1 | 1980 | $33,000 | 2.295 | $75,375 |

2 | 1980 | $36,000 | 2.295 | $82,620 |

3 | 1980 | $42,000 | 2.295 | $96,390 |

4 | 1990 | $66,000 | 1.344 | $88,704 |

5 | 1990 | $72,000 | 1.344 | $96,768 |

6 | 1990 | $84,000 | 1.344 | $112,896 |

Expressed in 1999 dollars, the mean income in the 1980 data is $84,795, and the mean income in the 1990 data is $99,456, for a 17.3 percent increase ( (99,456 - 84,795)/84,795 = 0.173). But users may want to express mean incomes in terms of the final year of data (1990, or 1989 dollars). To do this, we find the alternate factor from the list above to convert 1999 dollars into 1989 dollars, which is 0.744. Then we can add a new variable for 1989 dollars (Inc89 = Inc99 X 0.744):

Case | Year | Income | CPI99 | Inc99 | Inc89 |
---|---|---|---|---|---|

1 | 1980 | $33,000 | 2.295 | $75,375 | $56,079 |

2 | 1980 | $36,000 | 2.295 | $82,620 | $61,469 |

3 | 1980 | $42,000 | 2.295 | $96,390 | $71,714 |

4 | 1990 | $66,000 | 1.344 | $88,704 | $65,996 |

5 | 1990 | $72,000 | 1.344 | $96,768 | $71,995 |

6 | 1990 | $84,000 | 1.344 | $112,896 | $83,995 |

Expressed in 1989 dollars, the mean income in the 1940 data is $63,087, and the mean income in the 1980 data is $73,995. There is still a 17.3 percent increase ( (73,995 - 63,087) / 63,087 = 0.173), but displaying the data this way may make more sense for certain purposes.