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U.S.-State-Metro Demographic-Economic Interactive Tables
  -- Social Characteristics
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Visual analysis with ProximityOne tools
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visually analyze clients/markets
site analysis using 1 mile radius


$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
with tax parcels & streets

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high school attendance zones
with schools by type

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%high school graduates by
census tract - Puerto Rico

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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)
& census blocks

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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Use these data in your applications.
Buy dataset shown in table.

  DP2 Social Characteristics
    Excel file $395

  All Four DP1-DP4 Datasets
    Four Excel Files $995

  All Four DP1-DP4 Datasets
    & ready-to-use GIS $1,295

November 2015. The what, why and benefits ... in 2014, the MSA having the highest percent of college graduates, one measure of educational attainment, was the Boulder, CO MSA 58.0% (U.S. overall: 30.1%, lowest ranked MSA: Hanford-Corcoran, CA MSA 11.5%). Use the table below to learn about metros of interest to you. These are the most recent data on this subject, available for all MSAs (and the U.S. and states) until September 2016, when these data update. This measure of educational attainment is one of 152 measures of social characteristics available for each of these areas (see list in scroll section below).

View individual metro Metropolitan Area Situation & Outlook Reports that include selected items shown in the table below integrated with other data. See example of the continuously updated reports for the Dallas, TX MSA.

These data are bundled for interactive access only via the interactive table presented in this section; not available elsewhere. This set of data, augmented with other selected subject matter, has been integrated into shapefiles for use in GIS applications as illustrated in this section and not available elsewhere. This combination of data and analytical tools enables wide-ranging users to analyze this scope of data, optionally with other data, without the expenditure of time and learning curve to develop the data in these ready-to-use analytical structures.

Scope of Subject Matter & Geography
The national scope U.S.-State-Metro Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each area organized into four subject matter groups:
  • General Demographics
  • Social Characteristics (this section)
  • Economic Characteristics
  • Housing Characteristics

This section includes the U.S., all states, all MSAs, and all MISAs with 65,000 population or more. See the same scope of subject matter and structure for the 114th Congressional Districts. These data are based on the American Community Survey (ACS) 2014 1-year estimates. See notes on importance of these data.

Patterns of Percent College Graduate by Metro
The graphic below shows percent college graduate (of population 25 year and over) by MSA for the mid-atlantic region. MSAs shown with bold brown boundary; labeled with item item S067 (percent college graduate). See color/interval patterns in highlighted layer in legend panel at left of map (in larger view). The thematic pattern shows item S067 DP2 interactive table below. Click graphic for larger view.

- view developed with ProximityOne CV XE GIS and related GIS project.

Interactive Table
Use the interactive ranking table in this section to view, query, rank, compare social 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.

Social Characteristics Items
  S001     Total households
  S002 Family households (families)
  S003         With own children under 18 years
  S004     Married-couple family
  S005         With own children under 18 years
  S006     Male householder, no wife present, family
  S007         With own children under 18 years
  S008     Female householder, no husband present, family
  S009         With own children under 18 years
  S010 Nonfamily households
  S011     Householder living alone
  S012           65 years and over
  S013   Households with one or more people under 18 years
  S014   Households with one or more people 65 years and over
  S015   Average household size
  S016   Average family size
  S017       Population in households
  S018   Householder
  S019   Spouse
  S020   Child
  S021   Other relatives
  S022   Nonrelatives
  S023       Unmarried partner
  S024     Males 15 years and over
  S025   Never married
  S026   Now married, except separated
  S027   Separated
  S028   Widowed
  S029   Divorced
  S030     Females 15 years and over
  S031   Never married
  S032   Now married, except separated
  S033   Separated
  S034   Widowed
  S035   Divorced
  S036     Number of women 15 to 50 years old who had a birth in the past 12 months
  S037 Unmarried women (widowed, divorced, and never married)
  S038     Per 1,000 unmarried women
  S039 Per 1,000 women 15 to 50 years old
  S040     Per 1,000 women 15 to 19 years old
  S041     Per 1,000 women 20 to 34 years old
  S042     Per 1,000 women 35 to 50 years old
  S043     Number of grandparents living with own grandchildren under 18 years
  S044 Responsible for grandchildren
        Years responsible for grandchildren
  S045         Less than 1 year
  S046         1 or 2 years
  S047         3 or 4 years
  S048         5 or more years
  S049     Number of grandparents responsible for own grandchildren under 18 years
  S050 Who are female
  S051 Who are married
  S052     Population 3 years and over enrolled in school
  S053 Nursery school, preschool
  S054 Kindergarten
  S055 Elementary school (grades 1-8)
  S056 High school (grades 9-12)
  S057 College or graduate school
  S058     Population 25 years and over
  S059 Less than 9th grade
  S060 9th to 12th grade, no diploma
  S061 High school graduate (includes equivalency)
  S062 Some college, no degree
  S063 Associate's degree
  S064 Bachelor's degree
  S065 Graduate or professional degree
  S066 Percent high school graduate or higher
  S067 Percent bachelor's degree or higher
  S068     Civilian population 18 years and over
  S069 Civilian veterans
  S070     Total Civilian Noninstitutionalized Population
  S071 With a disability
  S072     Under 18 years
  S073 With a disability
  S074     18 to 64 years
  S075 With a disability
  S076     65 years and over
  S077 With a disability
  S078     Population 1 year and over
  S079 Same house
  S080 Different house in the U.S.
  S081     Same county
  S082     Different county
  S083         Same state
  S084         Different state
  S085 Abroad
  S086     Total population
  S087 Native
  S088     Born in United States
  S089         State of residence
  S090         Different state
  S091     Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s)
  S092 Foreign born
  S093     Foreign-born population
  S094 Naturalized U.S. citizen
  S095 Not a U.S. citizen
  S096     Population born outside the United States
  S097     Native
  S098 Entered 2010 or later
  S099 Entered before 2010
  S100     Foreign born
  S101 Entered 2010 or later
  S102 Entered before 2010
  S103     Foreign-born population, excluding population born at sea
  S104 Europe
  S105 Asia
  S106 Africa
  S107 Oceania
  S108 Latin America
  S109 Northern America
  S110     Population 5 years and over
  S111 English only
  S112 Language other than English
  S113         Speak English less than "very well"
  S114     Spanish
  S115         Speak English less than "very well"
  S116     Other Indo-European languages
  S117         Speak English less than "very well"
  S118     Asian and Pacific Islander languages
  S119         Speak English less than "very well"
  S120     Other languages
  S121         Speak English less than "very well"
  S122     Total population
  S123 American
  S124 Arab
  S125 Czech
  S126 Danish
  S127 Dutch
  S128 English
  S129 French (except Basque)
  S130 French Canadian
  S131 German
  S132 Greek
  S133 Hungarian
  S134 Irish
  S135 Italian
  S136 Lithuanian
  S137 Norwegian
  S138 Polish
  S139 Portuguese
  S140 Russian
  S141 Scotch-Irish
  S142 Scottish
  S143 Slovak
  S144 Subsaharan African
  S145 Swedish
  S146 Swiss
  S147 Ukrainian
  S148 Welsh
  S149 West Indian (excluding Hispanic origin groups)

U.S.-State-Metro Demographic-Economic Ranking Tables -- Social Characteristics
  Click column header to sort; click again to sort other direction. See more usage notes below table.
  Data are based on ACS 2014 1 year estimates. See related Ranking Tables Main Page

Usage Notes
  • Click ShowAll button between specific queries.
  • Use Find> button to select/filter based on name column.
      - Click ShowAll button first.
      - Enter search text in edit box to right of Find> button.
        ... text is case sensitive; partial; names okay.
      - Default value of "MSA" (no quotes) will select all MSAs (381 areas).
        ... note if the GeoType 310 Metro is used, 508 metros are selected (both MSAs and MISAs).
      - Example: "San" (no quotes) will select all areas with name starting with San.
  • Click row (turns blue) select, then right-click to copy to clipboard.
      - Optionally paste in another application such as Excel.
  • Mouse-over header cell to view description of column.
      - Alternatively associate cell header item number with scroll section above table for item description.

  • Estimates are not available for cells with -1 value (for this geography and this time frame).
  • All items are estimates centric to 2014.
  • Click ShowAll button between specific area queries.

Determining Metro Based on Address
Key in an address here to find codes/names to determine congressional district, city/place, school district, census tract, etc. geocode/area name based on address.

Key in an address here to view demographic-economic characteristics (and associated geographic codes) for that location (.e.g., for corresponding block group, census tract or other area containing that address).

Importance of these Data
These data provide "richer" demographic-economic characteristics for national scope metros. While Census 2010 provides data similar to those items in this section, only ACS 2010 and successive annual updates 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 data described in this section are supplemented by a wide range of additional subject matter. ACS 2015 1-year estimates become available in September 2016.

Metros and Core-Based Statistical Areas [goto top]
Metropolitan Statistical Areas (MSAs) and Micropolitan Statistical Areas (MISAs) are geographic entities delineated by the Office of Management and Budget (OMB) for use by Federal statistical agencies in collecting, tabulating, and publishing Federal statistics. The term "Core-Based Statistical Area" (CBSA) refer to the collective set of MSAs and MISAs. A MSA contains a core urban area of 50,000 or more population. A MISA contains an urban core of at least 10,000 (but less than 50,000) population. Each MSA or MISA consists of one or more counties and includes the counties containing the core urban area, as well as any adjacent counties that have a high degree of social and economic integration (as measured by commuting to work) with the urban core. The availability of data tabulated by MSA and MISA (and often less available for all counties or all cities) make MSAs and MISAs popular for the analysis of demographic, economic and business data.

Support Using these Resources
Learn more about demographic economic data and related analytical tools. Join us in a Data Analytics Lab session. 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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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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