CV XE GIS Home Page






  ProximityOne Home

  Census Tracts Main


  Situation & Outlook

  CVXE GIS Tools

  Data Resources Guide
  - projections to 2060

  Related Sections
  - Situation & Outlook

  - Applications Gallery
  - States
  - Congressional District
  - School Districts
  - Counties
  - Cities/Places
  - Tracts/Neighborhoods
  - Block Groups
  - Census Blocks

  - Urban Areas

  Estimates-Projections
  - 2060 Demographic
    ... all county interactive table
  - 2030 Demographic-Economic
  - Single Year of Age

  GIS Thematic Mapping
    Visual Analysis Tools

  Ranking Tables
    National Scope
    Demographic Change
    2000-2010
  - States
  - Metros
  - Congressional District
  - School Districts
  - Counties
  - Cities/Places
  - Census Tracts
 
Decision-Making Information
  ProximityOne
  information resources & solutions
  (888) DMI-SOLN
  (888) 364-7656





Put data to work more effectively.
Certificate in Data Analytics





Visual analysis with ProximityOne tools
click graphic for info; hover to pause

 
visually analyze clients/markets
site analysis using 1 mile radius

S1

$median household income
patterns by census tract - Houston

hover to pause

113th Congressional Districts

Click for info

US Asian Indian population 2010

Click for info

geocoded students and school
McKinney ISD, TX

Click for info

geocoded students and school
with tax parcels & streets

Click for info

high school attendance zones
with schools by type

Click for info

%high school graduates by
census tract - Puerto Rico

Click for info

Austin, TX MSA counties &
places 10K+ population markers

Click for info

Appalachia counties (green) &
coalfield counties (orange)

Click for info

China provinces percent urban &
cities (markers) by state plan

Click for info

Honolulu census tracts (red)
& census blocks


Central Park area NYC

Click for info

Kansas City Metro & Counties
Home Depot locations (markers)

Click for info

World Cities; focus on Spain

Click for info



Data Analytics Blog
Mapping Statistical Data

Support & Technical Assistance
help using these resources


Find tract code based on address...
... more about this feature


Census Tract - City Place Relationship Table

What census tracts are located in cities of interest? What are their codes? Get answers here.

This section provides an interactive table useful to examine relationships among Census 2010 census tracts, cities/places, and counties. Many cities and counties that might be experiencing demographic-economic decline will often have bright spots that are groups of a few or many census tracts. Census tracts are important sub-county geography in data analytics. See the related section on census data analytics. See more about census tracts and data analytics below in this section.

Relating Census Tracts to Cities & Counties
Census tracts are sub-county areas and nest coterminously within counties. The 6-character tract code is unique within county. For cities 10,000 and larger, there are some number of whole census tracts within the city. But around the perimeter of cities, census tracts will often be partly within and partly outside of the city. The following graphic shows the relationship of tracts, cities and counties in the Plano city area (green fill pattern) located mostly in Collin County within the Dallas metro. Click graphic for larger view, more detail and legend color/data intervals. This map illustrates the geographic level of detail available using census tract demographics and the relative ease to gain insights using geospatial data analytics tools.

- View developed using CV XE GIS and related GIS project.

Using the Interactive Relationship Table
A small part of Plano is located in Denton county (see north-south bold red-brown boundary). Tract 021627 (see pointer) is located in Denton County and includes a part of Plano. To determine what geography tract 021627 intersects, click the Tract> button below the interactive table shown below. See that the tract is contained in parts of 4 cities.

Census Tract to City/Place & County Equivalence Interactive Table
  Click column header to sort; click again to sort other direction. See usage notes below table.
  Data based on Census 2010. See related Ranking Tables Main Page
  73,056 tracts; initial load may require 10 seconds; Click row to copy to clipboard


Usage Notes
  • Tract code column: Census 2010 census tract code structured as 11 characters:
      - ss (state postal code) + ccc (county FIPS code) + tttttt (Census 2010 census tract code).
      - all 11 characters required to uniquely identify a tract code.
  • Use FindTract button to locate a specific tract:
      - enter 11-character code in edit box at right of FindTract button.
      - click ShowAll button.
      - click FindTract button to view this tract.
        .. see the name/codes of the corresponding city/county.
        .. see how the tract is split (or not) into different cities.
  • Use FindCounty button to select/filter for all tracts in a county:
      - enter state-county 5-character code in edit box at right of FindCounty button.
      - click ShowAll button.
      - click FindCounty button to view/analyze tracts in this county.
  • Use FindPlace button to select/filter for a city/place by name:
      - enter partial case-sensitive city name in edit box at right of FindPlace button.
      - click ShowAll button.
      - click FindPlace button to view/analyze tracts in this place.
  • Click ShowAll button between specific queries.

Use address look-up tool to determine census tract, city/place and other geocode/area name/demographics based on address.

Importance of Census Tracts for Data Analytics
Census tracts are important for many reasons.
  • Covering the U.S. wall-to-wall, census tracts are the preferred "small area" geography for superior data analytics.
  • The Census Bureau now produces annual tract demographic-economic data from the American Community Survey;
    .. there is an evolving time-series at the tract level creating new analytical opportunities.
  • Originally developed to equivalence neighborhoods, many still do.
  • Defined by the Census Bureau in collaboration with local groups,
    .. tracts typically reflect boundaries meaningful for local area analysis.
  • Defined generally for use with each new decennial census, most tract boundaries are stable
    .. and non-changing for ten years and many much longer.
  • Designed to average 4,000 population,
    .. there are more than twice as many census tracts (73,056) than ZIP code areas (33,129).
  • Tract boundaries are well-defined; unlike ZIP code areas which are subject to multi-sourced geographic definitions.
  • Many data developers (e.g., epidemiologists) use census tract geography to tabulate their own small area data
    .. enabling more effective use of those data with Census Bureau census tract data.
  • A statistical geographic area (in contrast to politically defined areas),
    .. census tracts are coterminous with counties;
    .. data at the census tract level can be aggregated to the county level.
  • Small area estimates for tracts are typically more reliable than for block groups.
    .. census tracts are comprised on one or more coterminous block groups.
    .. on average, a census tract is comprised of three block groups.
  • Census tracts are used by many Federal, state and local governments for compliance and program management.

The ACS provides "richer" demographic-economic characteristics for national scope census tracts. While Census 2010 provides data similar to those items in the General Demographics section, only ACS sourced data provide details on topics such as income and poverty, labor force and employment, housing value and costs, educational participation and attainment, language spoken at home, among many related items. The approximate 600 items accessible via the tract dataset are supplemented by a wide range of additional subject matter. ACS census tract data are updated annually in December of each year.

Find Geocodes Based on Address go top
Summary of steps to use the "Find tract code based on address..." tool located in the upper right of this page.
  • Enter an address in the three line form (no ZIP code).
  • Click Find button and the census tract and related geocodes are returned.
  • Copy the last 11 digits of the returned GEOID to clipboard (e.g., 06085508101).
  • Paste that value in the edit box to the right of the "Select Area" button below the interactive table.
  • Replace the first two characters (e.g., 06) with the uppercase USPS state abbreviation (e.g. CA).
  • Click the Select Area button; the table refreshes with the selected tract.
    .. optionally right click the row and copy tract attributes to clipboard.
    .. paste in application such as spreadsheet program.
    .. join us in a Data Analytics Lab session to review use of operations.
  • Table empty? Click the ShowAll button then click Select Area button again.

Use the Location-Based Demographics tool to view a demographic profile for an address.

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

Support Using these Resources
Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour 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.

Additional Information
ProximityOne develops geodemographic-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 tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact us (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.


Copyright © . Proximity. All Rights Reserved.
Sitemap | Contact Us | News