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visually analyze clients/markets
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S1

$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 attendance zones
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%high school graduates by
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Austin, TX MSA counties &
places 10K+ population markers

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Appalachia counties (green) &
coalfield counties (orange)

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

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Honolulu census tracts (red)
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Census Tracts and Tract Codes

Census tracts are statistical geographic areas and subdivisions of counties (or county equivalent). Census tracts cover the U.S. from wall-to-wall. Each county is comprised of one or more census tracts. Use the interactive table in this section to view Census 2010 tallies of census tracts, block groups and census blocks.

Using the Census Tracts Shapefile/Layer in the CV XE GIS US1 GIS Project
New, April 17, 2019 ... view, locate, examine, map, geospatially analyze census tract geodemographics -- in context of other geography and subject matter. The U.S. census tract shapefile has been added to the ProximityOne "US1" GIS project (included with installation). We have made it easy and free to visually locate census tracts of interest and view the boundaries in context of counties and general topology. Install CV XE GIS or run update if already installed. Examining tracts related to the Opportunity Zones? Each tract includes an identifier enabling you to select or find only those tracts. See details below.

See related sections:
census blocks and block codes
census block groups and block group codes
Tracts: estimates & projections to 2024
Tracts: ACS 2017 demographic-economic interactive tables
Tracts: ACS 2012-2017 5-year change demographic-economic interactive table
Tracts: Employment by Occupation: ACS 2012-2017 5-year change table
boundaries defined by TIGER/Line shapefiles
Warren Glimpse blog on this topic ... searchable list of blog posts

Use the AddressCoder software to:
• determine/assign latitude-longitude coordinates to your address data.
• assign tract, block group and block codes to your address data.
• assign subject matter (demographics) to your address data.
• create a shapefile to map your addresses in context of other geography.

Determine Census Tract Codes Based on Address
  • Use the LBD tool ... key in an address to find codes/names based on address.
  • Get a demographic profile for the address based on the block group or tract.
  • Create a shapefile to map the address(s).

Census tracts within a county are identified by a 4-digit basic code between 0001 and 9999, and may have a 2-digit suffix ranging from .01 to .98; for example, 6059.02. The decimal point separating the 4-digit basic tract code from the 2-digit suffix is shown in U.S. Census Bureau printed reports and maps.

Subject Matter Data
Census tracts average 4,000 population and may be disaggregated in census blocks and census block groups. Census tracts cover the U.S. from wall-to-wall. They are the smallest geography for which American Community Survey data are tabulated for all types subject matter tables. Their "hierarchical" structure makes it possible to aggregate subject matter data, such as the population of a certain age, to higher level geography including counties and metros (but not cities and legislative districts, in general).

Vintages
Census tracts are statistical area geography (as differentiated from political areas). Boundaries and codes may be redefined for each decennial census. Census 2010 tract boundaries and codes will generally remain unchanged until Census 2020. There are a few exceptions.

Codes, Geocodes & Referencing
A census tract code may not be used more than once in a single county, but it may be used again in a different county in the same state or in a county in a different state. Therefore, a particular census tract within the nation must be identified by: its state, its county, and its tract code. One way this is done by the Census Bureau and by data users is to identify a particular tract using an 11-digit code consisting of a 2- digit code for the state, a 3-digit code for the county (either of which may include one or more "leading" zeros), and 6 digits for the census tract (including any leading zeros, and also two “trailing” zeros in the many cases in which the basic tract code has no suffix). For example, the Office of the California Secretary of State, located at 1500 11th St, Sacramento, CA 95814, can be fully identified by the 11-digit code 06067001101, in which:

• States and the territories are identified by a 2-digit code.
• Counties within states are identified by a 3-digit code.
• Tracts within counties are identified 6-digit code.

Combine these codes to uniquely identify a tract in the U.S. (11 characters). For example, the census tract containing the Office of the California Secretary of State, located at 1500 11th St, Sacramento, CA 95814, is uniquely identified by the code 06067001101. In the map views shown below the table, the address has been geocoded using the AddressCoder and is shown as a red marker.



Some ranges of Census 2010 census tract codes are used to identify distinctive types of census tracts. The code range in the 9400s is used for those census tracts with a majority of population, housing, or land area associated with an American Indian area and matches the numbering used in Census 2000. The code range in the 9800s is new for 2010 and is used to specifically identify special land-use census tracts; that is, census tracts defined to encompass a large area with little or no residential population with special characteristics, such as large parks or employment areas. Census tract codes in the 9900s represent census tracts delineated specifically to cover large bodies of water.

Tracts. Block Groups & Blocks by State/Area -- interactive table
  Click ShowAll button to refresh/reset; click column header to sort on that column; click again to sort other direction.
  See ranking table usage notes below ranking table. See related ranking tables -- http://proximityone.com/rankingtables.htm.

Map View: Census Tracts
Tracts are labeled with green tract codes.
Address 1500 11th St, Sacramento, CA 95814 is shown by red marker.



Is the tract code 11.01 or 001101?
Both. Census tracts within a county are identified by a 4-digit basic code between 0001 and 9999, and may have a 2-digit suffix ranging from .01 to .98; for example, 6059.02. The decimal point separating the 4-digit basic tract code from the 2-digit suffix is shown in Census Bureau printed reports and maps. For geo-referencing, the decimal point is implied and does not appear; the 6-character tract code with lead zeroes is used -- a character string with no blanks and all numbers.

Using the Census Tracts Shapefile/Layer in the CV XE GIS US1 GIS Project
These notes provide information on use of the census tracts layer in the CV XE GIS US1 GIS project.

Install the CV XE GIS software on a windows computer using this installer:
http://proximityone.com/cv/1/cvxe_installer.exe
Requires your Uer Group userid and password.

Method 1 -- Navigate to the Las Vegas area
With CV running and the US1 project open:
Uncheck these layers in the legend panel:
.. Population Gain ...
.. Population Loss ...
Check on the Base Layer

Use the pan and zoom tools on the toolbar to set the map window in that area of interest.
.. Next check on the "Tracts" layer to left of map window. The tract boundaries appear.
.. Next you can optionally check on the Tract Codes layer so that the 11 character tract codes show.
.. Use the pan and zoom tools to further navigate to areas of interest.



Method 2 -- Locate a Tract.
Suppose that you know (hypothetical) that tract 32017950200 (aka 9502.00 in county 017) is a tract of interest. You can zoom to a tract in the follow manner.

With CV running and the US1 project open:
Uncheck these layers in the legend panel:
.. Population Gain ...
.. Population Loss ...
Check on the Base Layer
Click the Tracts layer on

Click the binoculars (find shape) on the toolbar.
Complete the settings as shown in the Find Shape form (shown below)
Click Find button
The zoom operation automatically zooms to that tract.
Click the Tracts Label layer on to view the tract code


Applications in the Wichita, KS Metro .. goto top
The following graphic shows a zoom-in view to Wichita city in the Wichita, KS MSA. Similar to the above views, census tracts that are opportunity zones are shown with a salmon fill pattern. See the related section showing patterns of population and components of change trends for the Wichita metro by county, 2010-2018. Click graphic for larger view. Expand browser window to full screen for best view. Larger view shows broader area.

.. view created using CV XE GIS.

The above view also shows adding properites/locations of interest. The red marker shows a location determined using the CV XE GIS Find/Locate feature (keying in an address). Zoom-in to a neighborhood of interest as illustrated below. Using CV, the user can click the location marker to view to mini-profile for that census tract or block group. Click the graphic below for a larger view that shows the mini-profile and demographics for the neighborhood.


Detailed streets have also been added using the CV XE GIS GeoGateway feature. Click this link to view a larger graphic showing a mini-profile for the intersection-to-intersection street segment where the marker is located.

Using CV XE GIS to Create Tract Side-by-Side Spreadsheet Tables by Point & Click
Follow these steps to create a table/spreadsheet to compare tract attributes in side-by-side columns. Note that a similar result could be achieved using the CV XE GIS Site Analysis feature.

See related steps for county operations.

1. Have CV XE GIS running and using the default (installed with CV XE GIS installers) GIS project ("US1.GIS").
1.1. Tracts for this operation are provided for only Dallas County, TX, to illustrate; works anywhere with full national shapefile.
1.2. Zoom to Dallas County area. 2. Click the "$MHI x Dallas Tracts" layer checkbox in legend panel. It turns blue.
3. With the Select Tool active, click a tract of interest in the map window. The mini-profile appears.
4. When the mini-profile displays, the attributes of this shape/county are copied to clipboard.
5. With Excel running, click Ctrl-V in cell B1. Two columns appear.
6. Back to CV, click another tract. Click Ctrl-V in spreadsheet cell D1. These two columns are for tract 2.
7. Additional counties could be added to the spreadsheet, repeating step 6 in subsequent column sets.
8. Copy all of the items in the scroll section below to clipboard. Click Ctrl-V in spreadsheet A1.
9. Modify/expand the width of spreadsheet column A. Optionally delete the short field names in columns B and D.
This completes the process. Perform further operations on the spreadsheet, save the file and proceed with data operations.

Item Descriptions for CV XE GIS Comparative Analysis
- UID -- shapefile shape ID
- GEOID -- Tract geocode: SSCCCTTTTTT
- STATE -- State USPS abbreviation
- STCTY -- State and County FIPS Code (first 5 characters of GEOID)
- CBSAFP -- CBSA Code
- CSAFPv -- CSA Code
- METDIVFP -- Metro Division Code
- D001 Total Population
- D002 Male
- D003 Female
- D004 Under 5 Years
- D005 5 to 9 Years
- D006 10 to 14 Years
- D007 15 to 19 Years
- D008 20 to 24 Years
- D009 25 to 34 Years
- D010 35 to 44 Years
- D011 45 to 54 Years
- D012 55 to 59 Years
- D013 60 to 64 Years
- D014 65 to 74 Years
- D015 75 to 84 Years
- D016 85 Years and Over
- D017 Median Age (years)
- D018 18 Years and Under
- D019 21 Years and Over
- D020 62 Years and Over
- D021 65 Years and Over
- D031 One Race
- D032 One Race -- White
- D033 One Race -- Black or African American
- D034 One Race -- American Indian and Alaska Native
- D039 One Race -- Asian
- D047 One Race -- Native Hawaiian and Other Pacific Islander
- D052 One Race -- Some Other Race
- D053 Two or More Races
- D066 Hispanic or Latino (of any Race)
- D067 Hispanic or Latino (of any Race) -- Mexican
- D071 Not Hispanic or Latino
- D072 Not Hispanic or Latino -- White Alone
- D073 Not Hispanic or Latino -- Black or African American Alone
- D082 Citizen, 18 and Over Population
- D083 Citizen, 18 and Over Population - Male
- D084 Citizen, 18 and Over Population - Female
- S001 Total Households
- S002 Total Households -- Family Households (families)
- S010 Total Households -- Nonfamily Households
- S011 Total Households -- Nonfamily Households -- Householder Living Alone
- S015 Total Households -- Average Household Size
- S016 Total Households -- Average Family Size
- S017 Population in Households
- S052 School Enrollment -- Population 3 Years and Over Enrolled in School
- S053 School Enrollment -- Population 3 Years and Over Enrolled in School -- Nursery School, Preschool
- S054 School Enrollment -- Population 3 Years and Over Enrolled in School -- Kindergarten
- S055 School Enrollment -- Population 3 Years and Over Enrolled in School -- Elementary School (Grades 1-8)
- S056 School Enrollment -- Population 3 Years and Over Enrolled in School -- High School (Grades 9-12)
- S057 School Enrollment -- Population 3 Years and Over Enrolled in School -- College orGraduate School
- S058 Educational Attainment -- Population 25 Years and Over
- S059 Educational Attainment -- Population 25 Years and Over -- Less Than 9th Grade
- S060 Educational Attainment -- Population 25 Years and Over -- 9th to 12th Grade, No Diploma
- S061 Educational Attainment -- Population 25 Years and Over -- High School Graduate (Includes Equivalency)
- S062 Educational Attainment -- Population 25 Years and Over -- Some College, No Degree
- S063 Educational Attainment -- Population 25 Years and Over -- Associate's Degree
- S064 Educational Attainment -- Population 25 Years and Over -- Bachelor's Degree
- S065 Educational Attainment -- Population 25 Years and Over -- Graduate or Professional Degree
- S066 Educational Attainment -- Population 25 Years and Over -- Percent High School Graduate or Higher
- S067 Educational Attainment -- Population 25 Years and Over -- Percent Bachelor's Degree or Higher
- S078 Residence 1 Year Ago -- Population 1 Year and Over
- S079 Residence 1 Year Ago -- Same House
- S080 Residence 1 Year Ago -- Different House in the U.S.
- S081 Residence 1 Year Ago -- Different House in the U.S. -- Same County
- S082 Residence 1 Year Ago -- Different House in the U.S. -- Different County
- S083 Residence 1 Year Ago -- Different House in the U.S. -- Different County -- Same State
- S084 Residence 1 Year Ago -- Different House in the U.S. -- Different County -- Different State
- S085 Residence 1 Year Ago -- Abroad
- S087 Place of Birth -- Native
- S088 Place of Birth -- Native -- Born in U.S.
- S089 Place of Birth -- Native -- Born in U.S. -- State of Residence
- S090 Place of Birth -- Native -- Born in U.S. -- Different State
- S091 Place of Birth -- Native -- Born in Puerto Rico, U.S. Island Areas, or Born Abroad to American Parents(s)
- S092 Place of Birth -- Foreign Born
- S093 U.S. Citizenship Status -- Foreign-Born Population
- S094 U.S. Citizenship Status -- Foreign-Born Population -- Naturalized U.S. Citizen
- S095 U.S. Citizenship Status -- Foreign-Born Population -- Not a U.S. Citizen
- S110 Language Spoken at Home -- Population 5 Years and Over
- S111 Language Spoken at Home -- Population 5 Years and Over -- English Only
- S112 Language Spoken at Home -- Population 5 Years and Over -- Language Other Than English
- S113 Language Spoken at Home -- Population 5 Years and Over -- Language Other Than English -- Speak English Less Than 'very Well'
- S114 Language Spoken at Home -- Population 5 Years and Over -- Language Other Than English -- Spanish
- S115 Language Spoken at Home -- Population 5 Years and Over -- Language Other Than English -- Spanish -- Speak English Less Than 'very Well'
- S150 Computers and Internet Use -- Total Households
- S151 Computers and Internet Use -- Households with a Computer
- S152 Computers and Internet Use -- Households with a Broadband Internet Subscription
- E001 Employment Status -- Population 16 Years and Over
- E002 Employment Status -- Population 16 Years and Over -- in Labor Force
- E003 Employment Status -- Population 16 Years and Over -- Civilian Labor Force
- E004 Employment Status -- Population 16 Years and Over -- Employed
- E005 Employment Status -- Population 16 Years and Over -- Unemployed
- E006 Employment Status -- Population 16 Years and Over -- Armed Forces
- E007 Employment Status -- Population 16 Years and Over -- Not in Labor Force
- E008 Employment Status -- Population 16 Years and Over -- Civilian Labor Force
- E009 Employment Status -- Population 16 Years and Over -- Percent Unemployed
- E027 Occupation -- Civilian Employed Population 16 Years and Over - Management, business, science, and arts occupations
- E028 Occupation -- Civilian Employed Population 16 Years and Over - Service occupations
- E029 Occupation -- Civilian Employed Population 16 Years and Over - Sales and office occupations
- E030 Occupation -- Civilian Employed Population 16 Years and Over - Natural resources, construction, and maintenance occupations
- E031 Occupation -- Civilian Employed Population 16 Years and Over - Production, transportation, and material moving occupations
- E032 Industry -- Civilian Employed Population 16 Years and Over
- E033 Industry -- Civilian Employed Population 16 Years and Over -- Agriculture, Forestry, Fishing and Hunting, and Mining
- E034 Industry -- Civilian Employed Population 16 Years and Over -- Construction
- E035 Industry -- Civilian Employed Population 16 Years and Over -- Manufacturing
- E036 Industry -- Civilian Employed Population 16 Years and Over -- Wholesale Trade
- E037 Industry -- Civilian Employed Population 16 Years and Over -- Retail Trade
- E038 Industry -- Civilian Employed Population 16 Years and Over -- Transportation and Warehousing, and Utilities
- E039 Industry -- Civilian Employed Population 16 Years and Over -- Information
- E040 Industry -- Civilian Employed Population 16 Years and Over -- Finance and Insurance, and Real Estate and Rental and Leasing
- E041 Industry -- Civilian Employed Population 16 Years and Over -- Professional, Scientific, and Management, and Administrative and Waste Management Services
- E042 Industry -- Civilian Employed Population 16 Years and Over -- Educational Services, and Health Care and Social Assistance
- E043 Industry -- Civilian Employed Population 16 Years and Over -- Arts, Entertainment, and Recreation, and Accommodation and Food Services
- E044 Industry -- Civilian Employed Population 16 Years and Over -- Other Services, Except Public Administration
- E045 Industry -- Civilian Employed Population 16 Years and Over -- Public Administration
- E046 Class of Worker -- Civilian Employed Population 16 Years and Over
- E047 Class of Worker -- Civilian Employed Population 16 Years and Over -- Private Wage and Salary Workers
- E048 Class of Worker -- Civilian Employed Population 16 Years and Over -- Government Workers
- E049 Class of Worker -- Civilian Employed Population 16 Years and Over -- Self-Employed in Own Not Incorporated Business Workers
- E050 Class of Worker -- Civilian Employed Population 16 Years and Over -- Unpaid Family Workers
- E051 Income and Benefits -- Total Households
- E052 Income and Benefits -- Households -- Less Than $10,000
- E053 Income and Benefits -- Households -- $10,000 to $14,999
- E054 Income and Benefits -- Households -- $15,000 to $24,999
- E055 Income and Benefits -- Households -- $25,000 to $34,999
- E056 Income and Benefits -- Households -- $35,000 to $49,999
- E057 Income and Benefits -- Households -- $50,000 to $74,999
- E058 Income and Benefits -- Households -- $75,000 to $99,999
- E059 Income and Benefits -- Households -- $100,000 to $149,999
- E060 Income and Benefits -- Households -- $150,000 to $199,999
- E061 Income and Benefits -- Households -- $200,000 or More
- E062 Income and Benefits -- Households -- Median Household Income (Dollars)
- E063 Income and Benefits -- Households -- Mean Household Income (Dollars)
- E064 Income and Benefits -- Households -- with Earnings
- E065 Income and Benefits -- Households -- with Earnings -- Mean Earnings (Dollars)
- E066 Income and Benefits -- Households -- with Social Security
- E067 Income and Benefits -- Households -- with Social Security -- Mean Social Security Income (Dollars)
- E068 Income and Benefits -- Households -- with Retirement Income
- E069 Income and Benefits -- Households -- with Retirement Income -- Mean Retirement Income (Dollars)
- E070 Income and Benefits -- Households -- with Supplemental Security Income
- E071 Income and Benefits -- Households -- with Supplemental Security Income -- Mean Supplemental Security Income (Dollars)
- E072 Income and Benefits -- Households -- with Cash Public Assistance Income
- E073 Income and Benefits -- Households -- with Cash Public Assistance Income -- Mean Cash Public Assistance Income (Dollars)
- E074 Income and Benefits -- Households -- with Food Stamp/Snap Benefits in the Past 12 Months
- E075 Income and Benefits -- Families
- E076 Income and Benefits -- Families -- Less Than $10,000
- E077 Income and Benefits -- Families -- $10,000 to $14,999
- E078 Income and Benefits -- Families -- $15,000 to $24,999
- E079 Income and Benefits -- Families -- $25,000 to $34,999
- E080 Income and Benefits -- Families -- $35,000 to $49,999
- E081 Income and Benefits -- Families -- $50,000 to $74,999
- E082 Income and Benefits -- Families -- $75,000 to $99,999
- E083 Income and Benefits -- Families -- $100,000 to $149,999
- E084 Income and Benefits -- Families -- $150,000 to $199,999
- E085 Income and Benefits -- Families -- $200,000 or More
- E086 Income and Benefits -- Families -- Median Family Income (Dollars)
- E087 Income and Benefits -- Families -- Mean Family Income (Dollars)
- E088 Income and Benefits -- per Capita Income (Dollars)
- E089 Income and Benefits -- per Capita Income (Dollars) -- Nonfamily Households
- E090 Income and Benefits -- Median Nonfamily Income (Dollars)
- E091 Income and Benefits -- Mean Nonfamily Income (Dollars)
- E092 Income and Benefits -- Median Earnings for Workers (Dollars)
- E093 Income and Benefits -- Median Earnings for Male Full-Time, Year-Round Workers (Dollars)
- E094 Income and Benefits -- Median Earnings for Female Full-Time, Year-Round Workers (Dollars)
- E095 Health Insurance Coverage -- .. Civilian Noninstitutionalized Population
- E096 Health Insurance Coverage -- .... with Health Insurance Coverage
- E097 Health Insurance Coverage -- ...... with Private Health Insurance Coverage
- E098 Health Insurance Coverage -- ...... with Public Health Coverage
- E099 Health Insurance Coverage -- .... No Health Insurance Coverage
- H001 Total Housing Units
- H002 Occupied Housing Units
- H003 Vacant Housing Units
- H004 Homeowner Vacancy Rate
- H005 Rental Vacancy Rate
- H007 Units in Structure -- 1-Unit, Detached
- H008 Units in Structure -- 1-Unit, Attached
- H009 Units in Structure -- 2 Units
- H010 Units in Structure -- 3 or4 Units
- H011 Units in Structure -- 5 to 9 Units
- H012 Units in Structure -- 10 to 19 Units
- H013 Units in Structure -- 20 or More Units
- H014 Units in Structure -- Mobile Home
- H015 Units in Structure -- Boat, Rv, Van, Etc.
- H017 Year Built -- 2015 orLater
- H018 Year Built -- 2010 to 2014
- H019 Year Built -- 2000 to 2009
- H020 Year Built -- 1990 to 1999
- H021 Year Built -- 1980 to 1989
- H022 Year Built -- 1970 to 1979
- H023 Year Built -- 1960 to 1969
- H024 Year Built -- 1950 to 1959
- H025 Year Built -- 1940 to 1949
- H026 Year Built -- 1939 orEarlier
- H037 Rooms -- Median Rooms
- H046 Tenure -- Owner-Occupied
- H047 Tenure -- Renter-Occupied
- H048 Tenure -- Average Household Size of Owner-Occupied Unit
- H049 Tenure -- Average Household Size of Renter-Occupied Unit
- H051 Year Householder Moved into Unit -- 2015 orLater
- H052 Year Householder Moved into Unit -- 2010 to 2014
- H053 Year Householder Moved into Unit -- 2000 to 2009
- H054 Year Householder Moved into Unit -- 1990 to 1999
- H055 Year Householder Moved into Unit -- 1980 to 1989
- H056 Year Householder Moved into Unit -- 1979 orEarlier
- H058 Vehicles Available -- No Vehicles Available
- H059 Vehicles Available -- 1 Vehicle Available
- H060 Vehicles Available -- 2 Vehicles Available
- H061 Vehicles Available -- 3 or More Vehicles Available
- H063 House Heating Fuel -- Utility Gas
- H064 House Heating Fuel -- Bottled, Tank, or LP Gas
- H065 House Heating Fuel -- Electricity
- H066 House Heating Fuel -- Fuel Oil, Kerosene, Etc.
- H067 House Heating Fuel -- Coal orCoke
- H068 House Heating Fuel -- Wood
- H069 House Heating Fuel -- Solar Energy
- H077 Occupants per Room -- 1.00 or Less
- H078 Occupants per Room -- 1.01 to 1.50
- H079 Occupants per Room -- 1.51 or More
- H081 Value -- Less Than $50,000
- H082 Value -- $50,000 to $99,999
- H083 Value -- $100,000 to $149,999
- H084 Value -- $150,000 to $199,999
- H085 Value -- $200,000 to $299,999
- H086 Value -- $300,000 to $499,999
- H087 Value -- $500,000 to $999,999
- H088 Value -- $1,000,000 or More
- H089 Value -- Median (Dollars)
- H090 Owner-Occupied Units
- H091 Mortgage Status -- Housing Units with a Mortgage
- H092 Mortgage Status -- Housing Units Without a Mortgage
- H126 Occupied Units Paying Rent
- H127 Gross Rent -- Less Than $500
- H128 Gross Rent -- $500 to $999
- H129 Gross Rent -- $1,000 to $1,499
- H130 Gross Rent -- $1,500 to $1,999
- H131 Gross Rent -- $2,000 to $2,499
- H132 Gross Rent -- $2,500 to $2,999
- H133 Gross Rent -- $3,000 or More
- H134 Gross Rent -- Median (Dollars)
- H135 Gross Rent -- No Rent Paid
- H137 Gross Rent as a Percentage of Household Income (GRAPI) -- Less Than 15.0 Percent
- H138 Gross Rent as a Percentage of Household Income (GRAPI) -- 15.0 to 19.9 Percent
- H139 Gross Rent as a Percentage of Household Income (GRAPI) -- 20.0 to 24.9 Percent
- H140 Gross Rent as a Percentage of Household Income (GRAPI) -- 25.0 to 29.9 Percent
- H141 Gross Rent as a Percentage of Household Income (GRAPI) -- 30.0 to 34.9 Percent
- H142 Gross Rent as a Percentage of Household Income (GRAPI) -- 35.0 Percent or More
- D001 Total Population
- Opportunity Zone Tract code (if an opportunity zone)
- Type of Opportunity Zone


Support Using these Resources .. goto top
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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 tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. 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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