PUMA stands for Public Use Microdata Area. PUMAs are areas designated by the Census Bureau for statistical reporting. They each have between 100k and 200k residents, don’t cross state lines, and follow county and city boundaries when possible. Their big advantage over county maps is letting us see much more detail in urban areas, but it does come at the cost of being able to present all the information in one image. Additionally, many counties often have very high margins of error for survey data like this. The relatively consistent size of PUMAs ensures reasonably low margins of error across the whole map.
napleonblwnaprt on
Is this the percentage of people that *live* in these places, or is it that the job is *based* in the location?
PeterCorless on
Paying SF rents but not willing to go to the SF office is peak SF.
Leave A Reply
Du musst angemeldet sein, um einen Kommentar abzugeben.
3 Kommentare
Source: IPUMS USA Census Microdata – 2023 1-year data
Citation: IPUMS USA, University of Minnesota, [www.ipums.org](http://www.ipums.org)
Tools: R (packages: dplyr, ggplot2, sf, usmap, tools, ggfx, grid, scales, cowplot, showtext, sysfonts)
You may be wondering what a PUMA is…
PUMA stands for Public Use Microdata Area. PUMAs are areas designated by the Census Bureau for statistical reporting. They each have between 100k and 200k residents, don’t cross state lines, and follow county and city boundaries when possible. Their big advantage over county maps is letting us see much more detail in urban areas, but it does come at the cost of being able to present all the information in one image. Additionally, many counties often have very high margins of error for survey data like this. The relatively consistent size of PUMAs ensures reasonably low margins of error across the whole map.
Is this the percentage of people that *live* in these places, or is it that the job is *based* in the location?
Paying SF rents but not willing to go to the SF office is peak SF.