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ZCTAs or ZIP Code Tabulation Areas are the census equivalent of ZIP codes used for statistical purposes. The reason why regular ZIP codes are not used is because they are defined by routes rather than geographic boundaries. Thus, they have the tendency to overlap and otherwise create difficulties.
Individual USPS ZIP codes can cross state, place, county, census tract, census block group and census block boundaries, so the Census Bureau asserts that "there is no correlation between ZIP codes and Census Bureau geography". [2] Moreover, the USPS frequently realigns, merges, or splits ZIP codes to meet changing needs.
As of 2022, based on the results of the 2020 Census, there are 2,487 PUMAs. PUMAs allow the Census to publish census data for sub-state areas throughout every state. 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 65,000 People.
There are generally two widely accepted versions of a postal code: a ZIP code and a ZIP + 4 code. Established in 1963, ZIP codes are the most common and recognizable postal code used by the USPS.
The TIGER files do not contain the census demographic data, but merely the geospatial/map data. GIS can be used to merge census demographics or other data sources with the TIGER files to create maps and conduct analysis. TIGER data is available without cost because U.S. Government publications are required to be released into the public domain.
ZIP Codes are inherently discrete or point-based data, as they are assigned only at the point of delivery, not for the spaces in between the delivery points. The United States Census Bureau then interpolates this discrete data set to create polygons by attempting to match ZIP Code extents with Census blocks. [38]