CV XE GIS Home Page





  ProximityOne Main

  New Topics & Updates

  Census Tract 5-year
    Projections

  S&O Metro Reports

  Situation & Outlook

  Related Sections
  - Applications Gallery
  - States
  - School Districts
  - Metros
  - Congressional
  - Counties
  - Census Tracts
  - Block Groups
  - Census Blocks
  - ZIP Codes
  - Urban Areas

  Estimates-Projections
  - County Interactive
  - 5-year Projections
  - Quarterly Projections
  - 2030 Projections
  - 2060 Projections

  CV XE GIS
    Visual Analysis

  Interactive Tables

  National Scope
  Demographic Change
  2000-2010
  - States
  - Metros
  - Congressional Dist
  - School Districts
  - Counties
  - Cities/Places
  - Census Tracts


 
Census Tract Housing Characteristics ACS 2017
  -- tools & data to analyze neighborhood level housing, tenure, occupancy, value, rent, more
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



January 2019. Census tracts are important for many reasons. It is easy to misidentify or misunderstand patterns and characteristics within cities, counties and metros which can become blurred using these higher level, more aggregate geographies alone. 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.

This section is focused on tools, resources and methods that you can use to access, integrate and analyze U.S. by census tract housing characteristics data. The U.S. national scope Census Tracts Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each census tract organized into four subject matter groups:
  • General Demographics
  • Social Characteristics
  • Economic Characteristics
  • Housing Characteristics (this section)

Use the interactive table in this section to view, query, rank, compare general demographics for all tracts in the U.S. Data in this section are based on the American Community Survey (ACS) 2017 5-year estimates.

Current Estimates & Projections
ACS tract/small area estimates lag by four years or more between the current year and reference year. ACS does not produce current year annual estimates but estimates based on a 5-year period. The 2017 ACS estimates are centric to 2015. Use the ProximityOne annual tract estimates and projections 2010 through 2023 for current year (e.g., characteristics as of 2018) estimates and anticipated change 5 years ahead.

Patterns of Median Housing Value by Census Tract
The following graphic shows median housing value (item H089 in interactive table below) by census tract based on ACS 2017 5 year estimates. Zoom-in view focused on Texas showing Austin-Round Rock, Dallas-Fort Worth, Houston, San Antonio metros with bold red-brown metros. (click link to view Situation & Outlook report), Click graphic for larger view, more detail (shows county layer) 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.

Use the interactive ranking table in this section to view, query, rank, compare housing characteristics of the population, households and families in these areas. The scroll box shown below lists each of the subject matter items available for each area via the ranking table. The number at the left of the subject matter item is also used as the short name for the subject matter item in the column header in the ranking table.

Housing Characteristics Items
.. a few item names and numbers changed from previous year data/table.
HOUSING OCCUPANCY
  H001     Total housing units
  H002 Occupied housing units
  H003 Vacant housing units
  H004 Homeowner vacancy rate
  H005 Rental vacancy rate
UNITS IN STRUCTURE
  H006     Total housing units
  H007 1-unit, detached
  H008 1-unit, attached
  H009 2 units
  H010 3 or 4 units
  H011 5 to 9 units
  H012 10 to 19 units
  H013 20 or more units
  H014 Mobile home
  H015 Boat, RV, van, etc.
YEAR STRUCTURE BUILT
  H016     Total housing units
  H017 Built 2014 or later
  H018 Built 2010 or 2013
  H019 Built 2000 to 2009
  H020 Built 1990 to 1999
  H021 Built 1980 to 1989
  H022 Built 1970 to 1979
  H023 Built 1960 to 1969
  H024 Built 1950 to 1959
  H025 Built 1940 to 1949
  H026 Built 1939 or earlier
  ROOMS
  H027     Total housing units
  H028 1 room
  H029 2 rooms
  H030 3 rooms
  H031 4 rooms
  H032 5 rooms
  H033 6 rooms
  H034 7 rooms
  H035 8 rooms
  H036 9 rooms or more
  H037 Median rooms
BEDROOMS
  H038     Total housing units
  H039 No bedroom
  H040 1 bedroom
  H041 2 bedrooms
  H042 3 bedrooms
  H043 4 bedrooms
  H044 5 or more bedrooms
HOUSING TENURE
  H045     Occupied housing units
  H046 Owner-occupied
  H047 Renter-occupied
  H048 Average household size of owner-occupied unit
  H049 Average household size of renter-occupied unit
YEAR HOUSEHOLDER MOVED INTO UNIT
  H050     Occupied housing units
  H051 Moved in 2015 or later
  H052 Moved in 2010 to 2014
  H053 Moved in 2000 to 2009
  H054 Moved in 1990 to 1999
  H055 Moved in 1980 to 1989
  H056 Moved in 1979 or earlier
VEHICLES AVAILABLE
  H057     Occupied housing units
  H058 No vehicles available
  H059 1 vehicle available
  H060 2 vehicles available
  H061 3 or more vehicles available
HOUSE HEATING FUEL
  H062     Occupied housing units
  H063 Utility gas
  H064 Bottled, tank, or LP gas
  H065 Electricity
  H066 Fuel oil, kerosene, etc.
  H067 Coal or coke
  H068 Wood
  H069 Solar energy
  H070 Other fuel
  H071 No fuel used
SELECTED CHARACTERISTICS
  H072     Occupied housing units
  H073 Lacking complete plumbing facilities
  H074 Lacking complete kitchen facilities
  H075 No telephone service available
OCCUPANTS PER ROOM
  H076     Occupied housing units
  H077 1.00 or less
  H078 1.01 to 1.50
  H079 1.51 or more
VALUE
  H080     Owner-occupied units
  H081 Less than $50,000
  H082 $50,000 to $99,999
  H083 $100,000 to $149,999
  H084 $150,000 to $199,999
  H085 $200,000 to $299,999
  H086 $300,000 to $499,999
  H087 $500,000 to $999,999
  H088 $1,000,000 or more
  H089 Median (dollars)
MORTGAGE STATUS
  H090     Owner-occupied units
  H091 Housing units with a mortgage
  H092 Housing units without a mortgage
SELECTED MONTHLY OWNER COSTS (SMOC)
  H093     Housing units with a mortgage
  H094 Less than $500
  H095 $500 to $999
  H096 $1,000 to $1,499
  H097 $1,500 to $1,999
  H098 $2,000 to $2,499
  H099 $2,500 to $2,999
  H100 $3,000 or more
  H101 Median (dollars)
  H102     Housing units without a mortgage
  H103 Less than $250
  H104 $250 to $399
  H105 $400 to $599
  H106 $600 to $799
  H107 $800 to $999
  H108 $1,000 or more
  H109 Median (dollars)
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)
  H110     Housing units with a mortgage (excluding units where SMOCAPI cannot be computed)
  H111 Less than 20.0 percent
  H112 20.0 to 24.9 percent
  H113 25.0 to 29.9 percent
  H114 30.0 to 34.9 percent
  H115 35.0 percent or more
  H116 Not computed
  H117     Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed)
  H118 Less than 10.0 percent
  H119 10.0 to 14.9 percent
  H120 15.0 to 19.9 percent
  H121 20.0 to 24.9 percent
  H122 25.0 to 29.9 percent
  H123 30.0 to 34.9 percent
  H124 35.0 percent or more
  H125 Not computed
GROSS RENT
  H126     Occupied units paying rent
  H127 Less than $500
  H128 $500 to $999
  H129 $1,000 to $1,499
  H130 $1,500 to $1,999
  H131 $2,000 to $2,499
  H132 $2,500 to $2,999
  H133 $3,000 or more
  H134 Median (dollars)
  H135 No rent paid
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)
  H136     Occupied units paying rent (excluding units where GRAPI cannot be computed)
  H137 Less than 15.0 percent
  H138 15.0 to 19.9 percent
  H139 20.0 to 24.9 percent
  H140 25.0 to 29.9 percent
  H141 30.0 to 34.9 percent
  H142 35.0 percent or more
  H143 Not computed

Census Tract Housing Characteristics Interactive Table ACS 2017
  Click column header to sort; click again to sort other direction. See usage notes below table.
  Data based on ACS 2017 5 year estimates. See related interactive tables
  Note -- the table may require a few seconds or more than a minute to initially load depending on Internet speed.


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 Select Tract button to select one tract:
      - enter 11-character State+County FIPS code in edit box at right of Tract button.
      - click ShowAll button.
      - click Select Tract button to view/analyze selected tract.
  • Use StCty button to select/filter for all tracts in a county:
      - enter 5-character State+County FIPS code in edit box at right of StCty button.
      - click ShowAll button.
      - click StCty button to view/analyze tracts in this county.
  • Use CBSA button to select/filter for all tracts in a CBSA/metro:
      - get 5-character CBSA code from scroll section at right above table.
      - enter CBSA 5-character code in edit box at right of CBSA button.
      - click ShowAll button.
      - click CBSA button to view/analyze tracts in this CBSA.
  • Click ShowAll button between specific queries.
  • Cells with -1 value could not be estimated (for this geography and this time frame).

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

View of Houston Area Showing Tract 48201510200
Create a similar view using the default US1.GIS project distributed with the CVXEGIS software.


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