After the 2010 decennial census, we are dealing with a new cycle of ZCTAs from the Census Bureau, plus a new way of getting demographic data involving the replacing of Summary File 3 with data based on the new American Community Survey (ACS).
We first we saw of the 2010 edition of the ZIP Code Tract Areas was in the spring of 2011 with the release of the SF1 (Summary File 1) data product. As they did in 2000, the Bureau defined the new ZCTAs as an aggregation of the current census blocks. Which are now, of course, 2010 blocks. They noted that the experiment with creating the HH and XX pseudo-ZCTAs was dropped for this decade, probably because they caused so much confusion among users.
An important resource created by the MCDC is the master data set where we combine geographic and demographic data regarding ZCTAs. The version of this data set created to describe the 2000-vintage ZCTAs has been renamed to zcta_master07. We have replaced (i.e. written over with new data) the zcta_master data set so that it now describes the 2010 ZCTAs, and contains demographic indicators taken from the most recently available American Community Survey data. We initially created this new version in 2012, and it used our estimated ZCTA level data allocated from 2006-2010 tract-level period estimates. In August, 2013 we did a major update of the zcta_master and used official 2007-2011 ZCTA-level ACS data for the first time. The data set now contains congressional district codes (113th congress) as well as the updated ("2012") PUMA codes. We also have updated the various metropolitan area codes: CBSA (core based statistical area, i.e. metropolitan and micropolitan statistical areas), metropolitan divisions and combined statistical areas (CSAs).
We were recently referred to a new web site — http://www.unitedstateszipcodes.org/ — which appears to overlap extensively (in terms of content) with our own "All about ZIP code..." pages. But it includes some ZIP lookup and mapping tools that ZIP code users should find very useful. It also features information about shipping rates between ZIP codes for USPS, FedEx and UPS. We have not yet had time to use this site much, but it certainly has the look of a very useful resource.
Summary File 1 contains data tables summarizing the results of the 2010 decennial census survey. (The 2010 census did not include a long form, only a short form.) Data for ZCTAs appear with summary level codes of 871 (ZCTA within state) on the individual state files. The national file has summaries for all ZCTAs in the nation and has three summary levels: 860 (complete ZCTAs), 870 (ZCTAs within state — same data as the 871 summaries on the state files but with a different summary level code), and 880 (ZCTAs within county). Since over 90% of all ZCTAs are contained within a single county, you mostly get three copies of the same tabular data on the national file. These data can be accessed via the American FactFinder query application at the Census Bureau, or they can be accessed from the Missouri Census Data Center's public data archive using the Uexplore/Dexter query tools. Specifically, go to sf12010 to access the full tables or sf12010x to access the much smaller (but often more useful) standard extract data. The latter can also be accessed using our Standard Summary File 1 (2010 Census) Extract Assistant web application. The SF1 Census Profile lets you generate formatted profile reports for up to four geographic areas at once, with ZCTA among the levels available.
If you are not familiar with the ACS, we recommend you see our American Community Survey page for basic background information. Basically, ACS does for 2010 data what SF3 did for 2000 data. Except that it is not simple one-point-in-time data derived from a census, but instead uses survey data collected over a five-year period. New data are normally released in December each year.
You can access these data from the American FactFinder web application at the Census Bureau. You can also access ZCTA data from the MCDC's data archive using Uexplore/Dexter, or by viewing data for ZCTAs in profile report format. Here are the key links:
We now have three versions of the Geocorr geographic correspondence engine. The newest version is Geocorr 2014. You can use this to relate the new codes to all the others such as counties, metro areas, urban/rural, PUMAs (both old and new), 2010 census tracts, congressional districts, etc.
Geocorr generates correlation lists — files that define the correlation of one type of geography (such as ZCTAs) to another. We have used this tool to create a directory of commonly requested equivalencies where the source gecode is the 2010 ZCTA and the target geographies vary for each file in the directory. You can access this collection here. Initially we have stored files relating 2010 ZCTAs to states, counties, metro areas (CBSAs), PUMAs (both 2000 and "2012"), urban/rural (what portion of the ZCTAs population live in areas classified as urban vs. rural, using the latest definition based on results of the 2010 census), and congressional district (113th congress).
NOTE: This resource is based on the Excel spreadsheet posted by John Snow, Inc., which we downloaded and stored as a .csv file (referenced below) in the fall of 2015 (updated 11-2-2015 from previous version that was vintage 2010). You can go to the source for these data here. (They may be later than 2015 when you access in 2016 or later.)
We sometimes like to think of ZIP codes and ZCTAs as more or less the same thing, the only difference being that ZCTAs are "rounded off" to census blocks while real ZIP codes are not. That is more-or-less true when talking about standard residential ZIP codes. But there are others — ZIP codes that are neither "standard" nor residential — the ZIP code for Reader's Digest, for the North Pole (Santa Claus), for the University of Missouri, for Camp Pendleton, for Google headquarters, etc. These are the special (aka "point", "unique", etc.) ZIP codes that are important to the post office and to the entities that use them to receive their mail. But they are not spatial areas (they are points in most cases), and people do not live in them. The ZIP code 65211, for example, is assigned to the University of Missouri in Columbia, MO. If you want to send me a package here at my office it will be expedited if you use the 65211 ZIP code.
A new dataset stored in our public archive provides a crosswalk between all (or at least mostly all) current ZIP codes and the ZCTAs to which they correspond. For standard residential ZIP codes, it's simple: They are the same codes. For ZIP code 65211, the ZCTA is 65201. You can either access the original downloaded CSV file, or you can use Dexter to access the converted dataset.
We created an alternate version of these data in the form of a SAS format module, which lets us do easy table lookups within SAS data steps — quite handy if you are a SAS programmer, but totally not relevant if you are not.
The HUD-USPS ZIP crosswalk files provide a very useful tool for relating ZIP codes and census tracts. These are actual true ZIP codes (not ZCTAs, and including all the "special" ZIPs such as point ZIPS and P.O. box ZIPs). These files are available quarterly going back to 2010. Beginning with the first quarter of 2012 the tracts are 2010 versions; before that the tracts were vintage 2000. The web site allows you to choose a quarter and a crosswalk type and download an Excel file with data for the entire country (including Puerto Rico). Each record/row of the file specifies a five-digit ZIP code and a census tract (including state and county codes). The degree of intersection between the two geographic entities is measured using a set of four ratio variables. RES_RATIO specifies the portion of all residential deliveries within the ZIP code which are in the tract. (This is on the ZIP-to-tract type file; on the tract-to-ZIP type this variable measures the portion of the deliveries within the tract that are within the ZIP.) BUS_RATIO is the same concept but only works with business addresses. OTH_RATIO handles addresses that are neither residential nor business. Finally, TOT_RATIO measures the portion of all addresses regardless of type. Note that these are all ratios with no actual counts.
The intened use of these crosswalks are for users wanting to allocate data between the two types of geography. Use the ZIP-to-tract correspondences/ratios to allocate data already available at the ZIP level to census tracts. Use the tract-to-ZIP to allocate data at the tract level to ZIP.