The public use microdata has a much more comprehensive list of languages available. You can find the full list of languages in the "PUMS Code Lists" document here: www.census.gov/.../documentation.html

As a general matter you can't get county level estimates from PUMS data.  The only geography for PUMS data is the PUMA. In the case where a county is a "Union" of several PUMAs you can "stack" PUMS data for the corresponding PUMAs.…

May I ask source of this PUMS?  These are the row level data that you've recoded, correct?  You have not aggregated these, right? 

I just posted a 0.7 updated windows installer Wed 20 Dec 2023 at about 11:30 am

The package works with 2022 ACS marginal 5 year tables and 2022 1 year PUMS data.  Watch out - the 2022 1 year PUMS data uses the 2022 PUMA FIPS codes which are different from…

Dear Jill,

You need to use PUMS variables ESR and COW in combination as follows:

Note the universe for S2408 is the Employed Civilian population 16 years old and over

# ESR: Employment status recode
# b [0].N/A (less than 16 years old)
# 1 .Civilian employed…

Perhaps query this in iPUMS or by merging the housing and person records PUMS SAS files?  I like MDAT, and maybe you can yield your desired results in MDAT by tweaking your setup, but I find the other PUMS sources more flexible.  

Did you check out the PUMS TYPEHUGQ variable ?  (TYPE 2019 and earlier).  You can merge on SERIALNO with the PUMS "person" dataset.

You can get the total population who moved from outside of the U.S. from table B07204 but I can't think of any pre-tabulated disaggregation by origin--PUMS is the best option. Would pooling 3 years of PUMS data work?

Also, if you're willing to share…

I haven't used SAS in years and years so I don't recall how transferrable this resource is.... These two links were extremely helpful with using pums data in R.

https://walker-data.com/census-r/introduction-to-census-microdata.html

https://walker…