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ZIP Code Economic Characteristics
  -- ACS 2016 Employment, Industry, Occupation Income, Insurance, Poverty, more
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February 2018 .. economic 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.

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

Patterns of Median Family Income by ZIP Code; Houston Area
The following graphic shows median family income 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 economic characteristics 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.

Economic Characteristics Items
EMPLOYMENT STATUS
  E001         Population 16 years and over
  E002 In labor force
  E003     Civilian labor force
  E004         Employed
  E005         Unemployed
  E006     Armed Forces
  E007 Not in labor force
  E008     Civilian labor force
  E009 Unemployment Rate
  E010     Females 16 years and over
  E011 In labor force
  E012     Civilian labor force
  E013         Employed
  E014     Own children of the householder under 6 years
  E015 All parents in family in labor force
  E016     Own children of the householder 6 to 17 years
  E017 All parents in family in labor force
COMMUTING TO WORK
  E018     Workers 16 years and over
  E019 Car, truck, or van -- drove alone
  E020 Car, truck, or van -- carpooled
  E021 Public transportation (excluding taxicab)
  E022 Walked
  E023 Other means
  E024 Worked at home
  E025 Mean travel time to work (minutes)
OCCUPATION
  E026     Civilian employed population 16 years and over
  E027 Management, business, science, and arts occupations
  E028 Service occupations
  E029 Sales and office occupations
  E030 Natural resources, construction, and maintenance occupations
  E031 Production, transportation, and material moving occupations
INDUSTRY
  E032     Civilian employed population 16 years and over
  E033 Agriculture, forestry, fishing and hunting, and mining
  E034 Construction
  E035 Manufacturing
  E036 Wholesale trade
  E037 Retail trade
  E038 Transportation and warehousing, and utilities
  E039 Information
  E040 Finance and insurance, and real estate and rental and leasing
  E041 Professional, scientific, and management, and administrative and waste management services
  E042 Educational services, and health care and social assistance
  E043 Arts, entertainment, and recreation, and accommodation and food services
  E044 Other services, except public administration
  E045 Public administration
CLASS OF WORKER
  E046     Civilian employed population 16 years and over
  E047 Private wage and salary workers
  E048 Government workers
  E049 Self-employed in own not incorporated business workers
  E050 Unpaid family workers
INCOME AND BENEFITS (IN 2015 INFLATION-ADJUSTED DOLLARS)
  E051     Total households
  E052 Less than $10,000
  E053 $10,000 to $14,999
  E054 $15,000 to $24,999
  E055 $25,000 to $34,999
  E056 $35,000 to $49,999
  E057 $50,000 to $74,999
  E058 $75,000 to $99,999
  E059 $100,000 to $149,999
  E060 $150,000 to $199,999
  E061 $200,000 or more
  E062 Median household income (dollars)
  E063 Mean household income (dollars)
  E064 With earnings
  E065     Mean earnings (dollars)
  E066 With Social Security
  E067     Mean Social Security income (dollars)
  E068 With retirement income
  E069     Mean retirement income (dollars)
  E070 With Supplemental Security Income
  E071     Mean Supplemental Security Income (dollars)
  E072 With cash public assistance income
  E073     Mean cash public assistance income (dollars)
  E074 With Food Stamp/SNAP benefits in the past 12 months
  E075     Families
  E076 Less than $10,000
  E077 $10,000 to $14,999
  E078 $15,000 to $24,999
  E079 $25,000 to $34,999
  E080 $35,000 to $49,999
  E081 $50,000 to $74,999
  E082 $75,000 to $99,999
  E083 $100,000 to $149,999
  E084 $150,000 to $199,999
  E085 $200,000 or more
  E086 Median family income (dollars)
  E087 Mean family income (dollars)
  E088 Per capita income (dollars)
  E089     Nonfamily households
  E090 Median nonfamily income (dollars)
  E091 Mean nonfamily income (dollars)
  E092 Median earnings for workers (dollars)
  E093 Median earnings for male full-time, year-round workers (dollars)
  E094 Median earnings for female full-time, year-round workers (dollars)
HEALTH INSURANCE COVERAGE
  E095 .. Civilian Noninstitutionalized Population
  E096 .... With health insurance coverage
  E097 ...... With private health insurance coverage
  E098 ...... With public health coverage
  E099 .... No health insurance coverage
  E100 .... Civilian Noninstitutionalized Population Under 18 years
  E101 ...... No health insurance coverage
  E102 .... Civilian noninstitutionalized population 18 to 64 years
  E103 ...... In labor force:
  E104 ........ Employed:
  E105 .......... With health insurance coverage
  E106 ............ With private health insurance
  E107 ............ With public coverage
  E108 .......... No health insurance coverage
  E109 ........ Unemployed:
  E110 .......... With health insurance coverage
  E111 ............ With private health insurance
  E112 ............ With public coverage
  E113 .......... No health insurance coverage
  E114 ...... Not in labor force:
  E115 ........ With health insurance coverage
  E116 .......... With private health insurance
  E117 .......... With public coverage
  E118 ........ No health insurance coverage
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL
  E119 All families
  E120     With related children of the householder under 18 years
  E121         With related children of the householder under 5 years only
  E122 Married couple families
  E123     With related children of the householder under 18 years
  E124         With related children of the householder under 5 years only
  E125 Families with female householder, no husband present
  E126     With related children of the householder under 18 years
  E127         With related children of the householder under 5 years only
  E128 All people
  E129 Under 18 years
  E130     Related children of the householder under 18 years
  E131         Related children of the householder under 5 years
  E132         Related children of the householder 5 to 17 years
  E133 18 years and over
  E134     18 to 64 years
  E135     65 years and over
  E136 People in families
  E137 Unrelated individuals 15 years and over

ZIP Code Area Economic 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 -- click the "Pop.$MHI.$MFI.$PCI" 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 $MHI.$MFI .. button below table.
  • Click the CBSA> button (using the default Dallas metro CBSA code 19100).
  • Click the E062 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 $MHI.$MFI .. 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 E062 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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