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=== Statistics ===
{{As of|October 2019}}, there are 41,702 ZIP Codes in the United States.<ref>{{Cite web|url=https://greatdata.com/product/zip-code-database|title=ZIP Codes|archive-url=https://web.archive.org/web/20191019150049/https://greatdata.com/product/zip-code-database|archive-date=19 October 2019|url-status=dead}}</ref> Due to convenience, ZIP Codes are used not only for tracking of mail, but also commonly for gathering geographical statistics in the United States by some researchers.<ref name="Grubesic1">{{cite journal |last1=Grubesic |first1=Tony H |last2=Matisziw |first2=Timothy C |title=On the use of ZIP codes and ZIP code tabulation areas (ZCTAs) for the spatial analysis of epidemiological data |journal=International Journal of Health Geographics |date=2006 |volume=58 |issue=5 |page=58 |doi=10.1186/1476-072X-5-58|doi-access=free |pmid=17166283 |pmc=1762013 }}</ref><ref name="Chen1">{{cite journal |last1=Xiang |first1=Chen |last2=Ye |first2=Xinyue |last3=Widener |first3=Michael J. |last4=Delmelle |first4=Eric |last5=Kwan |first5=Mei-Po |last6=Shannon |first6=Jerry |last7=Racine |first7=Elizabeth F. |last8=Adams |first8=Aaron |last9=Liang |first9=Lu |last10=Jia |first10=Peng |title=A systematic review of the modifiable areal unit problem (MAUP) in community food environmental research |journal=Urban Informatics |date=27 December 2022 |volume=22 |issue=1 |doi=10.1007/s44212-022-00021-1|doi-access=free |bibcode=2022UrbIn...1...22C }}</ref> ZIP Codes are not created for statistical analysis, and thus use for statistical analysis is heavily criticized for numerous reasons and advised against as a cartographic practice.<ref name="Chen1"/><ref name="Adams1">{{cite journal |last1=Adams |first1=Aaron |last2=Chen |first2=Xiang |last3=Li |first3=Weidong |last4=Zhang |first4=Chuanrong |title=Normalizing the pandemic: exploring the cartographic issues in state government COVID-19 dashboards |journal=Journal of Maps |date=27 Jul 2023 |volume=19 |issue=3 |pages=1–9 |doi=10.1080/17445647.2023.2235385|doi-access=free |bibcode=2023JMaps..19Q...1A }}</ref> As ZIP Codes are not polygons, but collections of mail routes and points, they are unsuitable for publication or distribution of most data.<ref name="Census Bureau1">{{cite web |title=ZIP Code Tabulation Areas (ZCTAs) |url=https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html |website=U.S. Census Bureau |access-date=26 August 2023 |archive-date=August 26, 2023 |archive-url=https://web.archive.org/web/20230826203531/https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html |url-status=live }}</ref> Polygons for ZIP Codes are not released by the USPS and instead interpolated by 3rd party vendors.<ref name="Grubesic1" /> These interpolations introduce topological errors and are not standard between vendors.<ref name="Grubesic1" /> The USPS often discontinues, splits, or otherwise modifies ZIP Codes, making continuous space-time analysis challenging, leading to issues with both the [[modifiable areal unit problem]] (MAUP) and [[modifiable temporal unit problem]] (MTUP).<ref name="Grubesic1" /><ref name="Adams1"/> As the ZIP Codes are postal routing numbers, individuals and organizations without concrete spatial locations may be given their own number, making it impossible to associate demographic data with them.<ref name="Grubesic1" /> Demographic data is not consistent between ZIP Codes, and no effort is made to ensure they are proper enumeration units for analysis.<ref name="Grubesic1" /> As ZIP Codes are not made with the same considerations as other enumeration units, and is not possible without committing the [[ecological fallacy]].<ref name="Grubesic1" /><ref name="Chen1"/> This again becomes an issue with the MAUP. They have been found not to have significant correlations with health indicators, which can lead to poor conclusions.<ref name="Chen1"/> Despite these issues, ZIP Codes remain popular among researchers in fields such as public health due to their convenience, public familiarity with them, ability to anonymize subject addresses through aggregation, and possible ignorance of more appropriate enumeration units on the part of researchers.<ref name="Grubesic1" /><ref name="Adams1" />
In an attempt to satisfy demand "by data users for statistical data by ZIP Code area", the [[United States Census Bureau|U.S. Census Bureau]] calculates approximate boundaries of ZIP Code areas, which it calls [[ZIP Code Tabulation Area]]s (ZCTAs).<ref name="Census Bureau1" /><ref name="Grubesic1" /> Statistical census data is then provided for these approximate areas. The geographic data provided for these areas includes the [[latitude]] and [[longitude]] of the center-point of the ZCTAs. 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
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