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ZIP Code General Demographic Characteristics
  -- ACS 2016 Age and Race/Origin Characteristics
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.. demographic 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 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.

See related new/updated section on mapping/analyzing ZIP code demographics:
  • http://proximityone.com/mapping_zipcode_demographics.htm.

In this section, four pages/tables:
  • General Demographics -- this section
  • Social Characteristics
  • Economic Characteristics
  • Housing Characteristics

Similar tables; different geography: Census Tracts | Cities | Counties | Metros

Patterns of Percent Asian Population by ZIP Code; Los Angeles Area
The following graphic shows percent Asian 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
Current layout (7/5/19):
  • 22307 Alexandria, VA (with map)
  • 67218 Wichita, KS
  • 67206 Wichita, KS (with map)
  • 33014 Hialea, FL
  • 60558 Western Springs, IL
  • 26003 Wheeling, WV

Previous layout:
  • 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 general demographics of the population, households and families 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.

General Demographics Items
AGE AND GENDER
  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 over
  D019 21 years and over
  D020 62 years and over
  D021 65 years and over
  D022     18 years and over
  D023 Male
  D024 Female
  D025     65 years and over
  D026 Male
  D027 Female
RACE
  D028     Total population
  D029 One race
  D030 Two or more races
  D031 One race
  D032     White
  D033     Black or African American
  D034     American Indian and Alaska Native
  D035         Cherokee tribal grouping
  D036         Chippewa tribal grouping
  D037         Navajo tribal grouping
  D038         Sioux tribal grouping
  D039     Asian
  D040         Asian Indian
  D041         Chinese
  D042         Filipino
  D043         Japanese
  D044         Korean
  D045         Vietnamese
  D046         Other Asian
  D047     Native Hawaiian and Other Pacific Islander
  D048         Native Hawaiian
  D049         Guamanian or Chamorro
  D050         Samoan
  D051         Other Pacific Islander
  D052     Some other race
  D053 Two or more races
  D054     White and Black or African American
  D055     White and American Indian and Alaska Native
  D056     White and Asian
  D057     Black or African American and American Indian and Alaska Native
    Race alone or in combination with one or more other races
  D058     Total population
  D059 White
  D060 Black or African American
  D061 American Indian and Alaska Native
  D062 Asian
  D063 Native Hawaiian and Other Pacific Islander
  D064 Some other race
HISPANIC OR LATINO AND RACE
  D065     Total population
  D066 Hispanic or Latino (of any race)
  D067     Mexican
  D068     Puerto Rican
  D069     Cuban
  D070     Other Hispanic or Latino
  D071 Not Hispanic or Latino
  D072     White alone
  D073     Black or African American alone
  D074     American Indian and Alaska Native alone
  D075     Asian alone
  D076     Native Hawaiian and Other Pacific Islander alone
  D077     Some other race alone
  D078     Two or more races
  D079         Two races including Some other race
  D080         Two races excluding Some other race, and Three or more races
  D081     Total housing units
CITIZENSHIP
  D082 Citizen, 18 and Over Population
  D083 Citizen, 18 and Over Population -- Male
  D084 Citizen, 18 and Over Population -- Female

ZIP Code Area General Demographics 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 districts 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 areaa with matched spelling in column 1.
  • Group1 selected columns
        .. D001 Total population
        .. 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 Not Hispanic or Latino
    .. click "All columns" button to restore view to all columns.

  • All items are estimates for five year period 2011-2015.
  • 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 Group 1 .. button below table.
  • Click the CBSA> button (using the default Dallas metro CBSA code 19100).
  • Click the D039 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 Group 1 .. 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 D039 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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