What is 5 digit zcta

There are six types of crosswalk files available for download. It is important to note that the relationship between the two types of crosswalk files is not a perfectly inverse one.

For that you would have to use the Tract to ZIP crosswalk file. In these files the denominators used to calculate the address ratios are the ZIP code totals. All three files share an identical structure with the exception of the geographic codes in the second column, which differs between the three crosswalk files — tract, county, and CBSA — respectively. In the example below, ZIP code is split by two different Census tracts, and , which appear in the tract column. The remaining residential addresses in that ZIP So, for example, if one wanted to allocate data from ZIP code to each Census tract located in that ZIP code, one would multiply the number of observations in the ZIP code by the residential ratio for each tract associated with that ZIP code.

Note that the sum of each ratio column for each distinct ZIP code may not always equal 1. The decimal is implied and leading and trailing zeros have been preserved. In these files the denominators used to calculate the address ratios are the totals of each type of address in the tract, county or CBSA. All three files share an identical structure with the exception of the geographic codes in the first column, which differs between the three crosswalk files — CBSA, County, and Tract — respectively.

In the example below tract is split by two different ZIP codes, and , which appear in the ZIP column. The ratio of residential addresses in the first tract-ZIP record to the total number of residential addresses in the tract is.

The remaining residential addresses in that tract So, for example, if one wanted to allocate data from Census tract to the ZIP code level, one would multiply the number of observations in the Census tract by the residential ratio for each ZIP code associated with that Census tract. Since the HUD geocoding base map is updated regularly, an effort is made to re-geocode these records with every new quarter of data.

But is this not supported? Could you please help me here? I'm afraid I'm not extremely experienced using the API; perhaps someone else here can advise? I lead a project called Census Reporter, which provides an alternative web presentation for the current ACS that is, there's no historic data, and each year, we update it when new ACS data is released -- we have an API which was designed for our own needs, but we welcome public access to the API, as long as their use doesn't interfere with our ability to run our site, which mostly manifests as an upper limit to the number of geographies which are returned in a single query.

You can get all variables for a single table from our site, for about geographies at a time. I can't remember exactly where the threshold is set. Gunjan over 2 years ago. I entered "Housing Units" as my topic for San Diego County and downloaded the table called "Profile of General Population and Housing Characteristics: " that resulted from the query. However, the file has more than 33, rows and the second column which I assume to be the zip codes "Geo.

The top row has "Geo. The total population and total of households seem right. But I am not sure how to interpret all the data below it. I would greatly appreciate any help in understanding this data! April over 1 year ago in reply to Peter Brownell. I followed your way to download the zip code level data from Do you have any idea where I could download the summary data at the zip code tabulation level for ? Thank you very much! OliviaOden over 1 year ago in reply to Peter Brownell.

Hi Peter, I am trying to follow these steps on the new census. Thanks, Olivia. Joe Germuska over 1 year ago in reply to OliviaOden. Olivia: I've found that if you have the wrong set of filters on data. Click on that, and navigate as in the screenshot: If when you get to "Zip Code Tabulation Area Five-Digit " you don't see options as in the screenshot, check "selected filters" below.

Hope that helps! Cliff Cook over 1 year ago in reply to Joe Germuska. Thanks Joe. Choose rows observations , you can tell the application which rows you are interested in. The rows in this data set correspond to ZCTAs crossed with counties.

Some typical filters that you might want to apply are:. There is no need to enter any filters, if you want the entire data set. To just see what the data looks like you might want to enter in this box to see the first rows of the table any filters will be applied first.

Now scroll down the page to section III. Choose columns variables. We suggest you click on the box indicating that you want to keep ALL the columns. Now click on the Extract Data button to run the query. It should take a few seconds for your results to be displayed in the form of an output menu page that lets you view your multiple-output-file results. The MCDC has created a directory on their public census data server which has a complete set of geographic header data as distributed with the Summary File 1 data from the census.

These header records have information about the geographic entities summarized on the SF1 data files. There are a great many such entities, and they range from state and county level records all the way down to census blocks. There are over 9 million of the latter entities nationwide. You can access this collection of geographic reference files here.

There are two files per state, with the block level records stored separate from all the other geographic levels. You will probably find the xxgeos files more useful, since they contain summaries for ZCTAs. The block-level files are useful for relating ZCTA geography to other levels, but for this kind of analysis you will probably want to use the Geocorr application see below , which makes use of a database that was built largely from these header files.

If you followed the link above to explore the xxgeos data directory, you can now click on the file degeos. This means that in section II. In III. If you chose HTML as one of your output formats, you will generate a report that looks like this:.

The emphasis is on names associated with the codes both "preferred" and alternate and location city, state, county. Latitude, longitude coordinates are also provided. The data were revised using USPS updates through Are we repeating ourselves? Didn't we already deal with this above in the section on ZCTAs? As already noted, there are important differences. We now have an alternative source that can help us get a more complete list. That source is the ZIP codes master file described in the previous section.

Unfortunately, it only contains the name and not the FIPS code for the county. So it's not the perfect solution. But it should be good enough for a lot of applications.

To use the master ZIP codes file on a one-at-a-time manual basis you can simply generate one of the directories we pointed to above and do a manual lookup of each ZIP. To automate the process you will need to generate a file containing the ZIP code and the county. The tool for doing that is once again Dexter. Access the zipcodes dataset in the georef data directory. The query as defined requests output in the form of a CSV file no report file, no database file ; no filtering you get the entire country ; and relevant variables selected you can ask for more, or less by simply modifying the select lists in section III of the form.

You can, if you want and you know how, modify the query any way you want. But all you have to do is click on one of the Extract Data buttons. Then when your output menu page is displayed, you'll need to click on the link s to your output file s. The only hard part will be figuring out how you will use the resulting lookup table file to do the actual encoding. The Geocorr web application is an updated version of the original application. Both applications do essentially the same thing, but the newer version uses census geography and later, while the earlier version used geography.

Geocorr allows you to dynamically generate files and reports that show how various geographic layers are related to one another. For example, you can choose one or more states as your geographic universe of interest and then ask the program to show you how ZCTAs within those states relate to just about any other geographic layer you can think of.

To see how easy it can be, visit the Geocorr application. Choose your state from the first select list.

Then click the Run request button. For processing many states, you might have to break it down and do about 10 or 20 states at a time. We happened to stumble upon a curious resource on a Census Bureau web page dealing with definitions of metropolitan and micropolitan statistical areas. The result looks something like this:. But it does cross county boundaries, being on the border of St. Louis City a county equivalent independent of St. Louis County. The thing that makes this data resource special is the use of sub-ZIP code geography at the two and four-digit ZIP-suffix levels.

It varies by ZIP code. All of this information is stored in the MCDC public archive, where it can be accessed via the Dexter extraction utility. Be sure to take advantage of the link to detailed metadata at the top of the Dexter query form.

These are very large collections of detailed tables that you might have occasion to use if you have a specific item of interest that requires you to go deeper than what most users will want to go. You're probably going to want this boiled down to something more readily accessible. Fortunately, you will probably never have to get involved directly with the summary files.

Both the Census Bureau and the MCDC have created demographic profile products which take these thousands of data tables cells and boil them down to a few hundred key data items, which are then presented in easy to read reports. You can view these data one ZCTA at a time in your browser, or you can access data files that have the boiled-down data available for all ZCTAs in formats that can be readily loaded into a spreadsheet or database access package e.

Excel or Access. Doing this is going to require that you become familiar with either the data. Neither tool is terribly difficult to use but it does mean you have to invest a little time before you can access that first set of data.