They are the only sub-state geographic identifiers on the PUMS records. But now that these areas are being used to publish summary tables based on the American Community Survey data, they have become much more widely used. Because they are required to have a minimum population of ,, all PUMA areas exceed the 65, population threshold, thus insuring that there will be single-year ACS data for them published each year. Our purpose here is to describe these entities and refer you to resources that will help you to understand and use them. There have been some very noteable changes.
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Nigor The counties are shaded based on their population sizes: Like census tracts, many PUMAs retain their definitions across decades. Our purpose here is to describe these entities and refer you to resources that will help you to understand and use them.
These are just the lines of the report dealing with areq first five values of the source geocode, which is called puma12 in Geocorr. The dataset also contains a set of key indicator variables from a recent set of ACS summary data. They are the only sub-state geographic identifiers on the PUMS records. In less populated rural areas, PUMAs mircodata typically comprised of smaller population-wise contiguous counties.
Super PUMAs are being done away with starting with the definitions. Michigan Population Studies Center. On occasion, there can also be discrepancies between the actual county vacancy rates and the PUMA to County rates.
PUMAs allow the Census to publish census data for sub-state areas throughout every state. Starting withthey can only comprise congiguous counties or census tracts. To help you see what these data look like we generated a nicely formatted listing of the Missouri subset of this data set. A little over 25 percent of counties have populations of 65, maaps more. But now that these areas are being used to publish summary tables based on the American Community Survey data, pblic have become much more widely used.
Notice all the gray splotches and the lack of identifiable county outlines. The 3-digit geographic summary level code for a PUMA is This means that our report will not only show us what portion of the PUMA population resided in the county inbut also what portion of the county population resided within the PUMA. Data published for vintage years and earlier use the old PUMAs as the units. Views Read Edit View history. They were required by the Census Bureau to have a population of at leastPrimary 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.
The five-year data have no population limits, but it is also not very timely. 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 SAS data set version is accessible using our Dexter utility access corrlst. Detailed tables in our basetbls and btabs5yr subdirectories of the more recent acs[yyyy] subdirectories also contain data at the PUMA level.
The user has to decide whether to use the known value when available e. This example shows us how to relate the PUMA areas to counties. 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. United States Census Bureau geography. 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.
Notice that there are missing values in Column L for all counties of populations of less than 65, And a little over 40 percent of counties fall below 20, We used the pop as the weight variable, so this file tries to measure the overlaps as of This page was last edited on 19 Januaryat PUMAs do not overlap, and are contained within a single state. Ignore the rest of the options.
So PUMAs now have names. PUMAs were first created for the Census. Related Posts
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