There are many ways to adjust zcta data "down to" blockgroups.  This simplest way to do this is to scale by the factor  block group population/ zcta population.  However you can do much better than this.  You can build a model (multiway tabulation…

Thank you! Beth. I will check PUMS. 

Thanks! The new race iterations of table B25140 (housing costs as % of household income) are wonderful to have in the summary file. Disaggregated data on housing cost burden is one of the most common requests we get, but we've had to rely on the PUMS…

This a little advertisement for the Small Area Estimation package that is in my earlier post. 

The variable Asian male & white female couples can be constructed using PUMS data so the SAE package will produce tract level data with this variable.

You…

Thank you for the suggestion, Beth. I have not before used the PUMS files, so that will be a new dataset for me to try!

Additional comment.  If you want people living alone with/without a phone you will need to use the PUMS (microdata) file.  PUMS files don't go down to the county level only to the PUMA level (public use microdata area) These have to be at least 100,000…

If you used the ACS PUMS data you could create a similar result to the CHAS data. You'd just create a new variable that only populates once if any of the four conditions were met. 

Thank you for your response! This is very helpful perspective.

I should have mentioned, despite using this formula found in the PUMS accuracy document, I am studying a few aggregated census tracts in my city.  Consequently, my data is indeed limited to…

If you’re using R, tidycensus has tools to download and analyze PUMS data walker-data.com/.../pums-data.html

Juan:

Diana's recommendations are totally spot-on / correct. A county level tabulation on households by owner/renter tenure by race/ethnicity of householder by household income level, is just not (directly) available from the ACS.

I would recommend…