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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Read and follow instructions for use. The left out counties are concentrated in the Great Plains, although all but 5 states and the District of Columbia have at least one county that is dependent on 5-year data.

Creating County-Level Statistics from Public Use Microdata Areas (PUMAS)

PUMAs are redefined every ten years in conjunction with the decennial census. In Missouri only we created an informal table that assigned a short descriptive name to each of the Missouri PUMAs. We first saw the new PUMAs also referred to sometimes by us as ” PUMAs”, especially in connection with nicrodata American Community Survey where data for these 20010 was first reported for vintage year in the spring-summer of The Census Bureau did not publish any summary data for these units based on the census.

The state cennsus drew PUMA boundaries for the Censusto allow reporting of detailed data for all areas. Views Read Edit View history. And in a bit over 5 percent of the time, counties and PUMAs share exactly the same definition – at least based on the current definitions.

The differences are not just in the specific geographic boundaries, but in the guidelines used to create them as well. This means that a file based on annual data or even three-year data have lots of the country excluded.


Csnsus PUMA contains at leastpeople.

Creating County-Level Statistics from Public Use Microdata Areas (PUMAS)

Two of the more important changes are: The counties are shaded based on their population sizes: Ignore the rest of the options. PUMAs were first created for the Census. Block Block group Tract. One could always illustrate statistics via PUMAs, but these are not familiar to the public.

We used the pop as the weight variable, so this file tries to measure the overlaps as of Having such locally assigned descriptive names makes these entities much more valuable as summary units in reports for users who have not arez the PUMA codes. States are entirely comprised of PUMAs i. It provides information regarding the PUMA’s location by indicating intersections with other more familiar geographies. And, urban areas with multi-PUMA counties show up as dark blobs.

They are similar to census tracts in this regard. Scroll down and find your state and click on ouma.

Download a table from American Factfinder. A reference information section provides general links to puuma related documents and sites. In this particular example, data are forlimited to California, and were based on Detailed Table B Where population constraints permit, they should not cross metropolitan area boundaries. Super PUMAs are being done away with starting with the definitions.

Public Use Microdata Area

They were required by the Census Bureau to have a population of at leastTypically, larger measured in land area and more rural PUMAs have codes that end with “00”.

For instance, Nevada County has a vacancy rate of Two of the more important changes are:. For example, the ACS publishes detailed data every year, but due to their sampling procedure only publishes data for census area that have more than 65, People.


A little over 25 percent of counties have populations of 65, or more. Retrieved from ” https: There is no way to show that detail on a US-based map. Microdatw, it would be possible to aggregate data at the census tract level to create such summaries.

This example shows us how to relate the PUMA areas to counties. Likewise, the percent of ACS questionnaires that were returned by mail is only available from the punlic files.

This collection of pages summarize the criteria that was used in arwa these entities and contains links to pages with more detail. To 200 this, invoke the application and fill out the form as follows:. There have been some very noteable changes.


From the Select one or more target geographies: For background of the details of California, see the spreadsheet or map that shows the sizes of California counties, based on Census Estimates.

Publiic dataset also contains a set of key indicator variables from a 2001 set of ACS summary data. Likewise, in less populous areas a single PUMA will be comprised of multiple counties. If you click on the listing report format link you should see a report, the first few lines of which should look like this:. The same thing happens for Lake and Mendocino counties. Large urban counties are typically subdivided into multiple PUMAs with boundaries based on census tracts.

From the Select one or more source geographies: In less populated rural areas, PUMAs are typically comprised of smaller population-wise publjc counties.