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…
Did you check out the PUMS TYPEHUGQ variable ? (TYPE 2019 and earlier). You can merge on SERIALNO with the PUMS "person" dataset.
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.
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…
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…
Dear All,
I have begun the process of posting an open source R package for small area estimation. The package takes PUMS data for a PUMA and produces "synthetic" PUMS-like data for tracts and block groups. See software tab at dorerfoundation.org Any variables…
I have posted the open source Poverty Assessment Toolkit R package PAT_0.7.zip on the GitHub open source website:
https://github.com/ddorer44/PovertyAssessment
Updated to 0.7 12-18-23
https://github.com/ddorer44/PovertyAssessment/blob/main/PAT_0…
The poverty level is computed by the US Census Bureau following the Office of Management Statistical Directive #14 https://www.census.gov/topics/income-poverty/poverty/guidance/poverty-measures.html The POVPIP value in the PUMS data is determined based…
Since the geography only goes down to the state level you can use PUMS data.
Dave Dorer
Yes, the Public Use Microdata Sample (PUMS) data from the U.S. Census Bureau can be used to analyze the distribution of household sizes across various income levels. By leveraging PUMS data, you can derive insights into the number of households based…