I'm researching to see if PUMAs contain no less than 65,000 people or no less than 100,000. I can find references for both. Which is it?
Thank you,
Lorna
PUMAs appear in both the ACS PUMS and the ACS summary tables.ACS summary tables are provided for many different summary levels: counties, census tracts, ZIP Code Tabulation Areas, and many others, incl…
Perhaps the confusion is around the 65,000 limit as one of the criteria for inclusion for the one-year ACS.
PUMAs are created to have at least 100,000 people -- sometimes much more.
The smallest PUMA is Elkhart County (Outside Elkhart City)--Goshen City, Indiana, with100,044. The largest is NYC-Queens Community…
Thank you Jnigrine for responding. Yes, confusion. I see in the 1yr ACS that the small counties are left out of the tables (but included in the 5yr). I'm still unsure when the 100,000 threshold is used and when the 65,000 is used.
The smallest PUMA is Elkhart County (Outside Elkhart City)--Goshen City, Indiana, with100,044. The largest is NYC-Queens Community District 7--Flushing, Murray Hill, & Whitestone, New York, with 270,930
Ignore the 65,000 threshold. That is for ACS 1-year reporting, not for PUMA definitions.
Thanks Glenn, I get the 1000,000 is for PUMAs. I use the ACS data (PUMS) all of the time. How does the 65,000 play into that. If everything is at least 100,000 then when would there be anything smaller?
Hi - The 65,000 does not play into PUMS; it relates only to tables. PUMS' smallest units are PUMAs.
BTW-As we are talking about PUMAs being an ACS tabulation geography, is anyone using them that way? When ACS was coming together I remember sitting in meetings talking about the value of getting PUMA level annual ACS every year. Fast forward, are people using the PUMA level annual ACS data? From the transportation perspective we were always hopeful that someday we could get workers at their workplace level PUMA data added in. We talked about it and worked on it since 2000. We came close in our last special tab with POW PUMAs (2012 to 2016) but the idea of filling in those Workers at their Workplace tables seem to have gone the way of the dodo bird ;-(
I was getting confused between the tables and the PUMs data (I download the data and use SAS to analyze). When I use the tables (poverty and population) I see counties, not PUMAs. When I use the PUMA data, I see PUMAs and convert to county groupings.
PUMAs are not "county groupings" -- a PUMA may comprise fractions of counties.
True, I combine them to get to counties/combined counties. There are some largely populated counties with many PUMAs and there are some PUMAs that cover more than a county, so I have to group them. It's the best I can do at this point.