I want to do a very simple analysis that shows the household type for households in CA in 2016. This is analagous to ACS FactFinder table B11001. I am using the microdata in order to break the nonfamily housholds out by gender: male housholder living along, female householder living along, male household living with others, female householder living with others. The IPUMs variable hhtype has this information. The total number of HHs I’m getting aligns with the ACS table – by four observations. See below. However, the breakdowns are way outside the margin of error. The married couple estimate is spot on, and the combined value of the men and female householders living along also is quite close to the ACS estimate. However, the male householder, no wife and femal householder, no husband both differ from the ACS estimate by several hundred thousand as does the total count for householder not living alone.
I’m wondering if this has something to do with the observations where the HHTYPE could not be deteremined, or if this is a different issue altogether.