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Crystal Off Parental Control. Integrator Bode Plot. Roadside Diner. Neuron Ion Channels. The Sims 4 Furry Mod. The equivalency files we we are referring to here are the MABLE databases and corresponding Geocorr web applications which we'll be talking about in more detail below.
Just as when you work with census tracts you need to know whether you mean or tracts, or when you are talking about the countries of Europe — time is an important dimension. You might think that what we should always assume is that if we do not specify a time, then we are probably referring to the most current definitions of ZIP codes, and that any reference materials should be periodically updated to reflect these definitions.
Easier said than done, of course. This would be a huge task. But even if you could maintain all your lists with the latest definitions in some cases there are reasons why it may be preferable not to.
This has to do with the fact that the Census Bureau tabulated the results of the last two decennial censuses to produce summary files describing these entities as they were defined at a certain point in time. The data tables on these files describe the characteristics of the residential ZIP codes as they were more or less defined at the time the census tabulations were prepared circa July, for the census; Jan.
Yes — for the purposes of creating these tabulations in the Bureau had private vendors provide them with files that related each of the census blocks the smallest geographic unit identified for each census return with the then-current ZIP code definitions. There is a built in "fuzz factor" in this equivalency list since — while the Census Bureau has created census blocks so that they do not cross any other census-defined geographic unit — blocks can and do frequently cross ZIP codes.
Typically, ZIP code "boundaries" fall along back lot lines — they almost never split down the middle of a street. If they did, you would need to have two postal carriers — one from each of the two ZIP codes, travel the same street and deliver just to their side. Census blocks, however, almost always split down the middle of streets. If you picture the classic rectangular city census block, it is an area bounded by portions of 4 city streets.
Each of those street faces has its own street name, address range and ZIP code, and it is quite common for the ZIP codes for the 4 streets to not all be the same. So a city block might have 12 households with 40 persons in a census block living in ZIP A and 6 households with 15 persons living in ZIP B; for the sake of doing the census tabulation, all 18 households and 55 persons will be tabulated as part of ZIP A.
We sometimes describe this phenomenon as "rounding off the ZIP data to blocks". These rounding errors are unbiased and may cancel each other out to some extent, but they are still an important source of potential error. Another important and exasperating characteristic of ZIP codes is that they do not conform to any other geographic schemes.
Most geographic units are part of some hierarchical system, and frequently they will recognize other boundaries such as counties or states. But ZIP codes follow no rules whatsoever with respect to other geographies. This aspect of ZIPs specifically as defined for the census and several other useful bits of information about them are discussed in the geographic glossary file provided with Geocorr.
ZIP code, but there are important distinctions. The Census Bureau has created a web site where they explain some of the differences:. The Bureau published results of the Census aggregated to these geographic units on Summary Files 1 and 3. Unlike the ZIP codes used for tabulating earlier censuses, these ZCTA areas are spatially complete and you can easily do mapping with them. The columns describe the ZCTAs in several ways. To see a complete detailed listing and explanation of these columns or "variables" see the metadata page for this data set.
This output is a PDF file generated using the Dexter web extraction program that involved only three simple parameter entries on our part. What can you say about ZIP based upon these data? The pctcnty variable tells you that We can also see that the ZIP is mostly Another series of codes identifies various metropolitan and urbanized areas associated with the ZIP. We have a number of spatial data items associated with the ZCTA; we have land area in square miles, the "internal point" coordinates for the ZCTA as published with the census data.
And finally we have a series of key demographic and economic status indicators taken from the census tables: total population and housing units, median household income, mean poverty ratio and average housing value.
Each of the last 3 have the actual value as well as a corresponding index value that tells you how it compares to the value for the entire country. This reflects the fact that this area, which includes at least portions of 3 university campuses, is heavily inhabited by college students — who typically have lower incomes and smaller households.
Note that the other two economic measures also indicate an area that is below average in terms of economic wellbeing, but that those measures have indices in the low 80s, which would indicate the area is not really a slum. Go to the Uexplore home page. This takes you to Uexplore referencing our geographic reference data sets collection. Click on the Datasets. Click on its name to select it and to invoke Dexter.
Follow the detailed metadata link at the top of the Dexter query form. From that page there is another link to a separate page where we go into more detail about each variable. Choose Variables and click the box that says you want to keep all the variables. Then click one of the Extract Data buttons.
The result is a CSV file that is quite large — 15 mb. We have stored a permanent copy of this CSV file in the georef directory and you can access it directly here.
Using the geographic header data provided on the block-level records on the Census Summary File 1 series, we were able to build such an equivalency file that related all combinations of state 5-digit ZCTAs to counties in the U. We stored the results in a tabular file in our data archive.
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