Don't add up the ZIP Code data by allocating all of the data for each census tract to each ZIP Code which overlaps with each census tract and then summing the results; many of the census tracts would be counted multiple times unless additional steps were taken to deduplicate them.
Instead, leave ZIP Codes out of the calculation and just add up the data for the selected area by census tract. In the four-county Orlando metropolitan area multiple ZIP Codes exist in the census tracts times. For example, Lake County census tract The tables below include lines for each of those external census tracts, but those external census tract numbers are not listed in the Census Tract column see instead the Tract Code column.
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results. More accurate geographic match -- census tracts are one of the specific geographic units by which census counts are presented; ZIP Code Tabulation Areas are used to approximate the geographic boundaries of ZIP Codes. Better aggregation of geographic boundaries for comparisons with municipal and county data -- Census tracts do not cross county lines and typically break out data for incorporated places.
Less frequent boundary changes -- Census tracts tend to be stable for 10 years or more. Postal Service adjusts to maintain efficient delivery zones. Understandable boundary changes -- Changes in ZIP Codes may make it difficult to determine whether a change in a data value over time is due to actual changes in the population or because lines were redrawn. If you want to assign them names based on the nearest town, etc, you have some work to do.
ZCTAs are areas, not points, but when you ask for the latitude and longitude, you're probably interested in the centroid. The bureau doesn't use the term "MSA" but rather combine "metropolitan statistical areas" and "micropolitan statistical areas" into a set called "core based statistical areas" or CBSAs. But maybe you can get by with just the CBSAs. It appears that obtaining this data is not as trivial, as it might seem at first. The following are my suggestions in regard to the requested data sources and other options.
It seems that currently there are two relatively solid sources of the data you're looking for:. Census Bureau. Information on HUD data sets formats and availability can be found in this document.
This is not the most efficient way, but if you have time, you can use freemaptools. There, you can enter a zip code and retrieve all cities and counties within up to a mile radius around that zip code. If you can find the source data for this site, you are done and I would love to know where you find it. But I am not sure their source data is easily parsed, so I imagine writing a python script to enter search criteria and retrieve the results for you, or just obtain a list of all zip codes and copy and paste each one into the search field and then copy and paste the results.
Either way, please be sure to post when and where you find an answer. Sign up to join this community. The best answers are voted up and rise to the top.
Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Learn more. Ask Question. Asked 6 years, 9 months ago. Active 3 years, 3 months ago. Viewed 19k times. Improve this question. Mike Manfrin Mike Manfrin. Add a comment. Active Oldest Votes. If you'd rather create this dataset than buy it, here are things to know: The Census Bureau states: The USPS ZIP Codes identify the individual post office or metropolitan area delivery station associated with mailing addresses.
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