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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The same thing happens for Lake and Mendocino counties.

2010 PUMA Definitions

However, there are population restrictions for the data. The user has to decide whether to use the known value when available e.

Each line of the report represents the intersection of the PUMA area with a target geocode — a county. This collection of pages summarize the criteria that was used in defining these entities and contains links to pages with more detail. PUMAs that represent portions of a large county will have the same first 3 digits with the last 2 digits areea assigned as “01”, “02”, ;ublic.

This example shows us how to relate the PUMA areas to counties.

But now that these areas are being used to publish summary tables based on the American Community Survey data, they have become micrrodata more widely used. They are the only sub-state geographic identifiers on the PUMS records. On occasion, there can also be discrepancies between the actual county vacancy rates and the PUMA to County rates.

Included on this page is pjblic link to a set of individual PUMA maps organized by state. Census county division Minor civil division Traffic analysis zone Voting district. Large urban counties are typically subdivided into multiple PUMAs with boundaries based on census tracts.


Retrieved from ” https: Our purpose here is to describe these entities and refer you to resources that will help you to understand and use them. For instance, Nevada County has a vacancy rate of By using this site, you agree to the Terms of Use and Privacy Policy. Two of the more important changes are: 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.

PUMAs are redefined every ten years in conjunction with the decennial census. This makes using these files to do PUMA-level data analysis problematic. Typically, larger measured in land area and more phma PUMAs have codes that end with “00”.

Ignore the rest of the options. Prior to there were actually two kinds of PUMAs: PUMAs may not cross state boundaries. Primary statistical area list Combined statistical area Core-based statistical area list Metropolitan statistical area list Micropolitan statistical area list New England city and town area Urban area list.

To do this, invoke the application and fill out the form as follows: See more detailed discussion, below.

All About Public Use Microdata Areas (PUMAs)

It provides information regarding the PUMA’s location by indicating intersections with other more familiar geographies. This means that a file based on annual data or even three-year data have lots of the country excluded.

From the Select one or more target geographies: Only seven of the 55 counties of West Virginia were large enough to receive estimates from the ACS. This page was last edited on 19 Januaryat Click any Run request button to invoke the Geocorr program. A reference information section provides general links to various related documents and sites.


These are mjcrodata the lines of the report wrea with the first five values of the source geocode, which is called puma12 in Geocorr.

Public Use Microdata Area – Wikipedia

Because they are required to have a minimum population of , all PUMA areas exceed ,icrodata 65, population threshold, thus insuring that there will be single-year ACS data for them published each year. Retrieved 23 October It is like somebody ran a bunch of Geocorr runs see below for a description of the Geocorr application and merged them altogether in this single resource.

Having such locally assigned descriptive names makes these entities much more valuable as summary units in reports for users who have not memorized the PUMA codes. In less ccensus rural areas, PUMAs are typically comprised of smaller population-wise contiguous counties.

PUMAs do not overlap, and are contained cenuss a single state. Urban areas get their own separate inset maps. The dataset also contains a set of key indicator variables from a recent set of ACS summary data.

United States Census Bureau geography. And, urban areas with multi-PUMA counties show up as dark blobs.

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

In urban areas a single county will be comprised of multiple PUMAs. These labels have been quite useful for reports that display data at the PUMA level. The first “alloc factor” column has a value of 0. In addition, sometimes items are not available in the tabular data.

Prior toPUMAs were not assigned formal names. The value of 1.