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