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visually analyze clients/markets
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$median household income
patterns by census tract - Houston

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113th Congressional Districts

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US Asian Indian population 2010

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geocoded students and school
McKinney ISD, TX

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geocoded students and school
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%high school graduates by
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Austin, TX MSA counties &
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Appalachia counties (green) &
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China provinces percent urban &
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Honolulu census tracts (red)
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Central Park area NYC

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Kansas City Metro & Counties
Home Depot locations (markers)

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World Cities; focus on Spain

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10 Reasons to use Census Tract Versus ZIP Code
  Geography & Demographics

Possibly the most obvious reason to use ZIP codes for small area demographic and economic analysis is that the analyst has other ZIP Code-based data. Typically those data are addresses or address-based data. The analyst seeks to assign demographic and economic data to the ZIP code records/locations so that more can be known about the demographic-economic characteristics of individual addresses or address vicinity.

ZIP Codes are well known to all of us. They are used by the U.S. Postal Service as a means to more efficiently deliver mail. Census tracts may be less familiar. Census tracts are defined by the Census Bureau and organized as sub-county building blocks. More about census tracts.

Census Tract-ZIP Code Area Comparative Analysis Profiles
The sample S&O Profile shows side-by-side comparison demographic-economic views of two census tracts and associated ZIP Code Tabulation Area in the Scottsdale, AZ area. See more about S&O Profiles. See related section about equivalencing census tract and ZIP Code area geography

10 Reasons to use Census Tract Versus ZIP Code Geography & Demographics

1. Census tracts are polygons and cover a well-defined geographic area.
ZIP codes are clusters of lines; the U.S. Postal Service does not define ZIP Code boundaries. A very large number of 5-digit ZIP Codes are P.O. boxes or specific street addresses and thus represent points not even one line.

2. Census tracts provide more granularity (73,000 areas) than ZIP Codes (43,000).

3. Census tracts are non-changing static geography from decennial census to census.
ZIP codes may change at any time; new ZIP codes may be created or eliminated at any time.

4. Census tracts cover the U.S. wall to wall.
ZIP codes exist only where U.S. mail service is provided.

5. Census tracts align coterminously to county boundaries.

6. Census tracts have well known/exact boundaries.
ZIP codes are groups of lines whose exact structural definition is not officially established.

7. Census tracts provide more statistical uniformity averaging 4,000+ population.
The population of a single ZIP code can exceed 100,000.

8. Census tracts have a large and richer set of associated, more reliable demographic-economic data.
True ZIP Code data are only delivery statistics developed by the U.S. Postal Service.

9. The total land area and water area are known for each census tract, to the square meter.
The total area covered by a ZIP Code is not known, let alone water area.

10. A unique set of census blocks, and hence demographics, can be associated with each census tract.
There is no good way to associate census blocks with ZIP codes.

11. It is entirely feasible to develop and analyze time series data for census tracts.
Time series data by ZIP code is risky due to the inherent potential for changing geographic scope.

So why do we keep using estimated ZIP Code areas and demographics? In the main, ZIP codes provide an easier and more comfortable way to associate or characterize demographic-economic conditions. We all know our own ZIP code and generally quite a few others. Few among us know what our census tract code is, let alone for other locations.

Support Using these Resources
Learn more about demographic economic data and related analytical tools. Join us in the Data Analytics Lab sessions. There is no fee for these Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

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Join the ProximityOne User Group to keep up-to-date with new developments relating to geographic-demographic-economic decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group.

Additional Information
ProximityOne develops geographic-demographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our software, data and methodologies to analyze their own data integrated with other data. Follow ProximityOne on Twitter at Contact ProximityOne (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.

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