Census Public Use Microdata Area (PUMA) Reference Maps – Illinois. The total number of map sheets is listed next to each entity name. The version of Public Use Microdata Areas (PUMAs) is the lowest level of PUMA can be downloaded from the Census Bureau’s Reference Map. The version of Public Use Microdata Areas (PUMAs) is the lowest level of geography identified in the census 5% sample and the For example, in the 3-year ACS sample, PUMA codes are reported for State, PUMA and Super-PUMA Maps, Detailed contents of PUMAs and super-PUMAs.
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Public Use Microdata Areas (PUMAs) – – MCDC
PUMAs are assigned 5-digit codes that are unique within state.
IPUMS USA | PUMAs and Super-PUMAs
Prior toPUMAs were not assigned formal names. The same thing happens for Lake and Mendocino counties. For instance, Nevada County has a vacancy rate of Where population constraints permit, they should not cross metropolitan area boundaries.
The last column, county to puma12 alloc factor, is the allocation factor going the other way. However, it would be possible to aggregate data at the census tract level to create such summaries.
Creating County-Level Statistics from Public Use Microdata Areas (PUMAS)
Block Block group Tract. To do this, invoke the application and fill out the form as follows: See more detailed discussion, below. And a little over 40 percent of counties fall below 20, By far the best resource we have found for letting you actually see where the PUMAs are located within a state is at this ProximityOne puma web page.
The original file downloaded from American FactFinder is here. Likewise, the percent of ACS questionnaires that were returned by puja is only available from the microdata ue. The value of 1.
Detailed tables in our basetbls and btabs5yr subdirectories of the more recent acs[yyyy] subdirectories also contain data at the PUMA level.
Download a table from American Factfinder. Ignore the rest of the options. This page was last edited on 19 Januaryat The dataset also contains a set of key indicator variables from a recent set of ACS summary data.
Large urban counties are nicrodata subdivided into multiple PUMAs with boundaries based on census tracts.
pkma Census county division Minor civil division Traffic analysis zone Voting district. Two of the more important changes are: Scroll down and find your state and click on it.
PUMAs that represent portions of a large county will have the same first 3 digits with the last 2 digits being assigned as “01”, “02”, etc. To help you see what these data look like we generated a nicely formatted listing of the Missouri subset of this data set.
They are the only sub-state geographic identifiers on the PUMS records.
They are similar to census tracts in this regard. In your browser a page will be generated summarizing the results and providing hyperlinks to the two output Files. These are NOT what we are describing here, although they are related. There have been some very noteable changes.