U.S. & State Economic Data Analytics
-- 2017 Employment, x Industry, x Occupation, Income, Insurance, Poverty, more
information resources & solutions
Visual analysis with ProximityOne tools
click graphic for info; hover to pause
Data Analytics Blog
Mapping Statistical Data
Support & Technical Assistance
help using these resources
In 2017, the U.S. median household income was $60,336 while
states ranged from
$42,361 (New York 15) to $188,874 (California 18).
See item/column E062 in the interactive table below
to view, rank, compare, analyze states based on this measure for 2017
... in context of related economic characteristics.
These data uniquely provide insights into many of the most important economic characteristics.
This section is focused on tools, resources and methods that you can use to access, integrate and analyze social characteristics
for the U.S. and states. These data will update in September 2019.
See about ProximityOne demographic-economic
annual estimates and projections 2010-2060;
access projections to 2060 by county.
Go to interactive table below in this section.
Approximately 600 subject matter items from the American Community Survey
database (released September 2018) are included in these four pages/tables:
Economic Characteristics -- this section
Using the Interactive Table
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
.. a few item names and numbers changed from previous year data/table.
E001 Population 16 years and over
E002 In labor force
E003 Civilian labor force
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
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)
E023 Other means
E024 Worked at home
E025 Mean travel time to work (minutes)
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
E032 Civilian employed population 16 years and over
E033 Agriculture, forestry, fishing and hunting, and mining
E036 Wholesale trade
E037 Retail trade
E038 Transportation and warehousing, and utilities
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
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
U.S. & State 2017 Economic Characteristics .. interactive table .. goto top
Click ShowAll button between Find/Queries. Use mouseover on column header to view column description.
See usage notes below table. See related interactive tables.
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.
Selected columns -- click the "$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 2017.
Click ShowAll button between specific area queries.
Cells with negative value could not be estimated (for this geography and this time frame).
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 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.
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.