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-- tools & data to analyze neighborhood level characteristics -- expanding insights through data analytics January 2022. Census tracts are important for many reasons. Use resources described in this section to analyze these neighborhood level areas of interest; the interactive table below to view, query, rank, compare demographic-economic characteristics for all census tracts in the U.S. Use the VDA Web GIS, with only a browser and nothing to install, to geospatially analyze tract demographics in context of other subject matter and geography. Examining Census Tract GeoDemographics The following graphic illustrates use of the VDA Web GIS to examine census tract demographics. See more about these operations. The interactive table shows median household income (column E062)for a set of census tracts; the selected tract(s) from the table are dynamically shown in the map; an exportable demographic-economic profile is shown in lower left for a selected tract.  - View developed using ProximityOne/Tsukasa VDA Web GIS Census Tract Demographic Economic Interactive Table .. goto top Click ShowAll button between queries. This table includes all California tracts. Use VDA Web GIS to access all tracts. Click column header to sort; click again to sort other direction. See usage notes below table. See related interactive tables Usage Notes • Tract code column: Census 2010 census tract code (2019 vintage) 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 tract code in edit box at right of Find 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 for specified LMI. • 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 for specified LMI. - 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). Column Set Buttons. Use these buttons, below table, to view selected column sets having similar subject matter columns/attributes. Comparing Multiple Selected Tracts. Select up to 5 tracts to show/compare only these tracts. The default values show tract codes in the graphic shown at the top of this section. Columns in Table .. goto top
- TractCode Geographic code (char 11 for tract)
- Stab - USPS state abbreviation - StCty - State+County FIPS code - CBSA - Core Based Statistical Area (metro) code - D001 Total Population - D002 Male - D003 Female - D005 Under 5 years - D006 5 to 9 years - D007 10 to 14 years - D008 15 to 19 years - D009 20 to 24 years - D010 25 to 34 years - D011 35 to 44 years - D012 45 to 54 years - D013 55 to 59 years - D014 60 to 64 years - D015 65 to 74 years - D016 75 to 84 years - D017 85 years and over - D018 Median age (years) - D019 Under 18 years - D021 18 years and over - D022 21 years and over - D023 62 years and over - D024 65 years and over - D036 One Race - D037 One Race -- White - D038 One Race -- Black or African American - D039 One Race -- American Indian and Alaska Native - D044 One Race -- Asian - D052 One Race -- Native Hawaiian and Other Pacific Islander - D057 One Race -- Some other race - D058 Two or more races - D071 Hispanic or Latino (of any race) - D072 Hispanic or Latino (of any race) -- Mexican - D077 Not Hispanic or Latino -- White Alone - D078 Not Hispanic or Latino -- Black or African American Alone - D087 Citizen, 18 and over - S001 Total Households - S002 Total Households -- Family Households (Married-couple family) - S016 Average household size - S017 Average family size - S018 Population in households - S053 School Enrollment -- Population 3 years and over Enrolled in School - S054 School Enrollment -- Population 3 years and over Enrolled in School -- Nursery school, preschool - S055 School Enrollment -- Population 3 years and over Enrolled in School -- Kindergarten - S056 School Enrollment -- Population 3 years and over Enrolled in School -- Elementary school (grades 1-8) - S057 School Enrollment -- Population 3 years and over Enrolled in School -- High school (grades 9-12) - S058 School Enrollment -- Population 3 years and over Enrolled in School -- College or graduate school - S059 Educational Attainment -- population 25 years and over - S060 Educational Attainment -- population 25 years and over -- Less than 9th trade - S061 Educational Attainment -- population 25 years and over -- 9th to 12th grade, no diploma - S062 Educational Attainment -- population 25 years and over -- High school graduate (includes equivalency) - S063 Educational Attainment -- population 25 years and over -- Some College, No Degree - S064 Educational Attainment -- population 25 years and over -- Associate's Degree - S065 Educational Attainment -- population 25 years and over -- Bachelor's Degree - S066 Educational Attainment -- population 25 years and over -- Graduate or Professional - S067 Educational Attainment -- population 25 years and over -- High school graduate or higher - S068 Educational Attainment -- population 25 years and over -- Bachelor's degree or higher - S079 Residence 1 Year Ago -- Population 1 year and over - S080 Residence 1 Year Ago -- Same House - S081 Residence 1 Year Ago -- Different House in the U.S. - S082 Residence 1 Year Ago -- Different House in the U.S. -- Same County - S083 Residence 1 Year Ago -- Different House in the U.S. -- Different County - S084 Residence 1 Year Ago -- Different House in the U.S. -- Different County -- Same State - S085 Residence 1 Year Ago -- Different House in the U.S. -- Different County -- Different state - S086 Residence 1 Year Ago -- Abroad - S087 Total population - S088 Place of Birth -- Native - S089 Place of Birth -- Native -- Born in U.S. - S090 Place of Birth -- Native -- Born in U.S. -- State of Residence - S091 Place of Birth -- Native -- Born in U.S. -- Different State - S092 Place of Birth -- Native -- Born in Puerto Rico, U.S. Island Areas, or Born Abroad - S093 Place of Birth -- Foreign Born - S094 U.S. Citizenship Status -- Foreign-Born Population - S095 U.S. Citizenship Status -- Foreign-Born Population -- Naturalized U.S. Citizen - S096 U.S. Citizenship Status -- Foreign-Born Population -- Not a U.S. Citizen - S111 Language Spoken at Home -- Population 5 years and over - S112 Language Spoken at Home -- Population 5 years and over -- English Only - S113 Language Spoken at Home -- Population 5 years and over -- Language Other Than English - S114 Language Spoken at Home -- Population 5 years and over -- Language Other Than English - less than very well - S115 Language Spoken at Home -- Population 5 years and over -- Language Other Than English - Spanish - S116 Language Spoken at Home -- Population 5 years and over -- Language Other Than English - Spanish, less than very well - S151 Computers and Internet Use -- Total Households - S152 Computers and Internet Use -- Households with a Computer - S153 Computers and Internet Use -- Households with a broadband Internet subscription - E001 Employment Status -- Population 16 years & over - E002 Employment Status -- Population 16 years & over -- in Labor Force - E003 Employment Status -- Population 16 years & over -- Civilian Labor Force - E004 Employment Status -- Population 16 years & over -- Employed - E005 Employment Status -- Population 16 years & over -- Unemployed - E006 Employment Status -- Population 16 years & over -- Armed Forces - E007 Employment Status -- Population 16 years & over -- Not in Labor Force - E009 Employment Status -- Population 16 years & over -- Percent Unemployed - E032 Industry -- Civilian Employed Population 16 years & over - E033 Industry -- Civilian Employed Population 16 years & over -- Agriculture, Forestr - E034 Industry -- Civilian Employed Population 16 years & over -- Construction - E035 Industry -- Civilian Employed Population 16 years & over -- Manufacturing - E036 Industry -- Civilian Employed Population 16 years & over -- Wholesale Trade - E037 Industry -- Civilian Employed Population 16 years & over -- Retail Trade - E038 Industry -- Civilian Employed Population 16 years & over -- Transportation and warehousing, and utilities - E039 Industry -- Civilian Employed Population 16 years & over -- Information - E040 Industry -- Civilian Employed Population 16 years & over -- Finance & insurance, & real estate & rental & leasing - E041 Industry -- Civilian Employed Population 16 years & over -- Professional, scientific & mgmt, & admin & waste mgmt svc - E042 Industry -- Civilian Employed Population 16 years & over -- Educational Services - E043 Industry -- Civilian Employed Population 16 years & over -- Arts, Entertainment, - E044 Industry -- Civilian Employed Population 16 years & over -- Other Services, Exce - E045 Industry -- Civilian Employed Population 16 years & over -- Public Administratio - E046 Class of Worker -- Civilian Employed Population 16 years & over - E047 Class of Worker -- Civilian Employed Population 16 years & over -- Private Wage - E048 Class of Worker -- Civilian Employed Population 16 years & over -- Government Wo - E049 Class of Worker -- Civilian Employed Population 16 years & over -- Self-Employed - E050 Class of Worker -- Civilian Employed Population 16 years & over -- Unpaid Family - 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 -- $200,000 or More - E062 Income and Benefits -- Households -- Median Household Income (Dollars) - E063 Income and Benefits -- Households -- Mean Household Income (Dollars) - E064 Income and Benefits -- Households -- with Earnings - E065 Income and Benefits -- Households -- with Earnings -- Mean Earnings (Dollars) - E066 Income and Benefits -- Households -- with Social Security - E067 Income and Benefits -- Households -- with Social Security -- Mean Social Security Income ($) - E068 Income and Benefits -- Households -- with Retirement Income - E069 Income and Benefits -- Households -- with Retirement Income -- Mean Retirement Income ($) - E070 Income and Benefits -- Households -- with Supplemental Security Income - E071 Income and Benefits -- Households -- with Supplemental Security Income -- Mean Supplemental Security Income ($) - 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 ($) - 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 -- $200,000 or More - E086 Income and Benefits -- Families -- Median Family Income (Dollars) - E087 Income and Benefits -- Families -- Mean Family Income (Dollars) - E088 Income and Benefits -- per Capita Income (Dollars) - E089 Nonfamily households - E090 Income and Benefits -- Median Nonfamily Income (Dollars) - E091 Income and Benefits -- Mean Nonfamily Income (Dollars) - E092 Income and Benefits -- Median Earnings for Workers (Dollars) - E093 Income and Benefits -- Median Earnings for Male Full-Time, Year-Round Workers ($) - E094 Income and Benefits -- Median Earnings for Female Full-Time, Year-Round Workers ($) - 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 -- 2014 or later - H018 Year Built -- 2010 to 2013 - 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 or earlier - H037 Rooms -- Median Rooms - H046 Tenure -- Owner-Occupied - H047 Tenure -- Renter-Occupied - H048 Average Household Size of Owner-Occupied Unit - H049 Average Household Size of Renter-Occupied Unit - H051 Year Householder Moved into Unit -- 2017 or later - H052 Year Householder Moved into Unit -- 2015 to 2016 - H053 Year Householder Moved into Unit -- 2010 to 2014 - H054 Year Householder Moved into Unit -- 2000 to 2009 - H055 Year Householder Moved into Unit -- 1990 to 1999 - H056 Year Householder Moved into Unit -- 1989 or earlier - 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 -- $3,000 or More - H134 Gross Rent -- Median ($) - H135 Gross Rent -- No Rent Paid - H136 Occupied units paying rent (excluding units where GRAPI cannot be computed) - 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 - GINI - Index of Income Inequality - trpop2010 - Census 2010 Total population Importance of Census Tracts for Data Analytics .. goto top 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. • 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 .. goto top 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. |
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