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ZIP Code Social Characteristics
  -- ACS 2016 Household Composition, Education, Language, Related Attributes
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.. social characteristics of ZIP codes are essential for business development, market analysis, planning, economic development, program management and general awareness of patterns and trends. This section provides access to data and tools to examine these data for all ZIP code area in the U.S. This annual update includes characteristics for approximately 33,000 ZIP code areas based on ACS 2016 data. See corresponding earlier data . ProximityOne develops tools and data to update and analyze ZIP code area demographic-economic characteristics, patterns and trends. Contact us for more information about custom studies and data integration services.

  • Same scope of data now available through ACS 2019.
  • See 2018 subject matter updates to this section.
  • Use the Visual Data Analytics VDA Web GIS
      .. view ZIP code demographic patterns .. nothing to install .. no cost.

Four pages/tables:
  • General Demographics
  • Social Characteristics -- this section
  • Economic Characteristics
  • Housing Characteristics
Similar tables; different geography: Census Tracts | ZIP Codes | Metros

Patterns of Percent College Graduates by ZIP Code; Chicago Area
The following graphic shows percent college graduate population by ZIP code area. Click graphic for larger view and details.

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

ZIP Code Area Characteristics -- goto top
ZIP code geography used in this section is based on the Census 2010 ZIP Code Tabulation Areas. New demographic -economic estimates are developed annually from the American Community Survey. The most recent estimates are based on the ACS 2016 5 year estimates. Using the ACS 2016 estimates, these areas ranged in population from 0 to 115,104 (60629, Cook County, IL). 320 ZIP Code Areas had zero population; 1,599 had population under 100. The average ZIP Code Area population was 9,696. Based on the ACS 2016 5 year estimates, the U.S. median household income was $55,322 and $57,617 based on the ACS 2016 1 year estimates.

Demographic-Economic-Business Profiles & Analyses
ProximityOne develops demographic-economic profiles and analyses for individual ZIP codes and groups of ZIP codes. The following table presents a list of profiles for selected ZIP codes. These ZIP codes have been selected to provide a range of state examples; higher median household income ZIP codes were selected in that state which also had a population near or above the U.S. average. Click the ZIP code link in the table shown below to view illustrative profiles.

Each ZIP code profile shows all subject matter items presented in the ZIP code interactive tables (below and related sections) plus other demographic, economic and business data. The ZIP business patterns data (section 3 in each report) include establishments by 3-digit NAICS/type of business code and full detail 6-digit NAICS for the Health Services sector. Contact us to obtain profiles for ZIP codes of interest. Include ZIP codes of interest in the text section. Or call us at 888.364.7656.

Selected ZIP code area profiles -- scroll section
  • 02138 Cambridge/Middlesex County, MA
  • 02493 Weston/Middlesex County, MA
  • 10514 Chappaqua/Westchester County, NY
  • 19085 Villanova/Delaware County, PA
  • 20015 Washington/District of Columbia, DC
  • 20854 Potomac/Montgomery County, MD
  • 22066 Great Falls/Fairfax County, VA
  • 22307 Alexandria/Fairfax County, VA
  • 22314 Alexandria/Alexandria city, VA
  • 28207 Charlotte/Mecklenburg County, NC
  • 30327 Atlanta/Fulton County, GA
  • 33158 Miami/Miami-Dade County, FL
  • 60093 Winnetka/Cook County, IL
  • 61085 Stockton/Jo Daviess County, IL
  • 64113 Kansas City/Jackson County, MO
  • 64772 Nevada/Vernon County, MO
  • 66224 Overland Park/Johnson County, KS
  • 66606 Topeka/Shawnee County, KS
  • 66749 Iola/Allen County, KS
  • 77005 Houston/Harris County, TX
  • 80007 Arvada/Jefferson County, CO
  • 85253 Paradise Valley/Maricopa County, AZ
  • 85258 Scottsdale/Maricopa County, AZ
  • 94028 Portola Valley/San Mateo County, CA
  • 96821 Honolulu/Honolulu County, HI
  • 97034 Lake Oswego/Clackamas County, OR
  • 98075 Sammamish/King County, WA


Using the Interactive Table -- goto top
Use the interactive table below to view, query, rank, compare social characteristics of the population for these areas. The scroll box shown below lists each of the subject matter items available for each area via the ranking table. In the subject matter items scrollbox, subject matter items are organized into to mini-tables with related items. 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
HOUSEHOLDS BY TYPE
  S001     Total households
  S002 Family households (families)
  S003         With own children of the householder under 18 years
  S004     Married-couple family
  S005         With own children of the householder under 18 years
  S006     Male householder, no wife present, family
  S007         With own children of the householder under 18 years
  S008     Female householder, no husband present, family
  S009         With own children of the householder 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
RELATIONSHIP
  S017       Population in households
  S018   Householder
  S019   Spouse
  S020   Child
  S021   Other relatives
  S022   Nonrelatives
  S023       Unmarried partner
MARITAL STATUS
  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
FERTILITY
  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
GRANDPARENTS
  S043     Number of grandparents living with own grandchildren under 18 years
  S044 Grandparents 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
SCHOOL ENROLLMENT
  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
EDUCATIONAL ATTAINMENT
  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
VETERAN STATUS
  S068     Civilian population 18 years and over
  S069 Civilian veterans
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION
  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
RESIDENCE 1 YEAR AGO
  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
PLACE OF BIRTH
  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
U.S. CITIZENSHIP STATUS
  S093     Foreign-born population
  S094 Naturalized U.S. citizen
  S095 Not a U.S. citizen
YEAR OF ENTRY
  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
WORLD REGION OF BIRTH OF FOREIGN BORN
  S103     Foreign-born population, excluding population born at sea
  S104 Europe
  S105 Asia
  S106 Africa
  S107 Oceania
  S108 Latin America
  S109 Northern America
LANGUAGE SPOKEN AT HOME
  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"
ANCESTRY
  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)
COMPUTERS AND INTERNET USE
  S150 Total households
  S151   With a computer
  S152   With a broadband Internet subscription

ZIP Code Area Social Characteristics -- interactive table
  ACS 2016 5-year estimates
  Click ShowAll button between Find/Queries. Use mouseover on column header to view column description.
  See usage notes below table. See related tables -- interactive tables.


Usage Notes
  • If table not showing any rows; click ShowAll button below table.
  • Use vertical and horizontal scroll bars to navigate up/down or left/right.
  • Adjust column widths using column divider between header cells.
  • CBSA> button -- use to select areas in a specified metro/CBSA
    .. get metro 5-character code here
    .. paste the 5-character metro code in the edit box to right of CBSA> button.
    .. overwriting the value 19100.
    .. click the CBSA> button ... table refreshes with all areas in specified metro.
  • Find Name> button -- use to select area based on exact spelling of partial name in column 1.
    .. Key in exact up/low case spelling of partial name of area in the edit box to right of Find Name> button.
    .. overwriting the value Dallas.
    .. click the Find Name> button ... table refreshes with all areas with matched spelling in column 1.
  • Selected columns -- "Pop.AvgHHSize.AvgFamSize.%HSGrad.%CollGrad" below the table to show only these columns;
    .. click "All columns" button to restore view to all columns.

  • All items are estimates for 2015.
  • Click ShowAll button between specific area queries.
  • Cells with negative value could not be estimated (for this geography and this time frame).

Selecting Cities within a Metro/CBSA
Proceed with these steps to view cities within a selected metro/CBSA:
  • Click ShowAll button below table.
  • Click AvgHHSize.. button below table.
  • Click the CBSA> button (using the default Dallas metro CBSA code 19100).
  • Click the S067 column header; click again to sort in other direction.

Examine a metro of interest -- get metro 5-character code here ..
  • Click ShowAll button below table.
  • Click Pop.AvgHHSize.. button below table.
  • Paste the 5-character metro code in the edit box to right of CBSA> button.
    .. overwriting the value 19100.
  • Click the CBSA> button.
  • Click the S067 column header; click again to sort in other direction.

Use find codes/names to determine census tract, city/place, school district etc. geocode/area name based on address.

Importance of Demographic-Economic Data
The importance of understanding the demographic-economic make-up and trends can hardly be overstated. Community and educational challenges and opportunities are shaped by demographic-economic dynamics. Only by knowing "where we are" can we develop the most effective plans for improvement.

The American Community Survey provides "richer" demographic-economic characteristics for national scope wide-ranging geographic areas. 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 dataset are supplemented by a wide range of additional subject matter. These data are updated annually in December of each year for each/all political/statistical areas, including school districts, census tracts, ZIP code areas and block groups.

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.


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