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U.S. & State Demographic Data Analytics
  -- 2016 Age and Race/Origin Characteristics
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September 2017. In 2016, the U.S. median age was 37.9 years while states ranged from 30.7 years (Utah) to 44.5 years (Maine). See item/column D017 in the interactive table below to view, rank, compare, analyze states based on this measure for 2016 ... in context of related general demographic characteristics attributes.

This section is focused on tools, resources and methods that you can use to access, integrate and analyze general demographic characteristics for the U.S. and states. These data will update in September 2018.

Approximately 600 subject matter items from the American Community Survey ACS 2016 database (released September 2017) are included in these four pages/tables:
  • General Demographics -- this section
  • Social Characteristics
  • Economic Characteristics
  • Housing Characteristics

GIS, Data Integration & Visual Data Analysis
Use data extracted from these tables in a ready-to-use GIS project. These ACS sourced data (from the four tables listed above) have been integrated with population estimates trend data, components of change and personal income quarterly trend data. See details below in this section.

Patterns of Median Age by State
The following graphic shows patterns of median age as labels by state. Yellow label shows the state USPS abbreviation; white label shows median age. Legend shows color patterns associated with percent population change 2010-2016.

- View developed using CV XE GIS software and associated GIS project.
- use these resources to develop similar views for any area. Modify subjects, zoom, colors, labels, add your data.

Using the Interactive Table
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

U.S. & State 2016 General Demographics interactive table
  Click ShowAll button between Find/Queries. Use mouseover on column header to view column description.
  See usage notes below table. See related tables -- http://proximityone.com/rankingtables.htm.


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.
  • 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 Texas.
    .. click the Find Name> button ... table refreshes with all states with matched spelling in column 1.
  • Selected columns -- "Pop.W1.B1.AIAN1.Asn1.NHPI1.Hisp" below the table to show only these columns;
    .. click "All columns" button to restore view to all columns.

  • All items are estimates for 2016.
  • Click ShowAll button between specific area queries.
  • Cells with negative value could not be estimated (for this geography and this time frame).

State GIS Project Installation & Use .. goto top
Join us in a Data Analytics Lab session where we discuss use of these tools and data. There is no fee for these one-hour Web sessions.

Installation requirements include:
  • Windows computer with Internet connection.
  • Userid and password provided separately.
Terms of Use:
  • There is no warranty or guarantee; users are solely responsible for any use.
  • Authorized for personal, non-business/income generating use only.
  • Software nor data may not be redistributed.
  • Authorized for use only as a package; data not authorized for use with other software.
  • Contact use for more information; add message in test section.

Follow these steps to install the "States1" GIS project and related data files.
1. Install the CV XS GIS software
... run the CV XE GIS installer
... take all defaults during installation
... not necessary to reinstall if already installed
2. Install the States1 project fileset
... using windows explorer, create the folder c:\statetrends.
... unzip States1 GIS project files to local folder c:\statetrends
3. Open the c:\statetrends\states1.gis project
... after completing the above steps, click File>Open>Dialog
... open the file named c:\statetrends\states1.gis
4. Done. The start-up view for the states1.gis project is shown below.

- View developed using CV XE GIS software and associated GIS project.

Using the State GIS Project .. goto top
The layers in the states1.gis project are listed below.
1States1cb_2015_us_state_500k.shp
2StatesLabelcb_2015_us_state_500k.shp
3Med Age Labelcb_2015_us_state_500k.shp
4Coll Grad Labelcb_2015_us_state_500k.shp
5MHI Labelcb_2015_us_state_500k.shp
6MHV Labelcb_2015_us_state_500k.shp
7StatesPopcb_2015_us_state_500k.shp
8PCPI Labelcb_2015_us_state_500k.shp
9PCPIcb_2015_us_state_500k.shp
10States2cb_2015_us_state_500k.shp

Most of these layers use the shapefile cb_2015_us_state_500k.shp. The fields/attributes of this shapefile are listed below.
  • Fields 8 - 27 ... Census Bureau population estimates program.
  • Fields 28 - 37 ... Census Bureau ACS 2016 1 year data (from tables in this and related sections).
  • Fields 38 - 127 ... Bureau of Economic Analysis State Quarterly Personal Income data (2010Q1 through 2017Q2).
    .. three sections of quarterly data: total personal income, population, per capita personal income.
Scroll table:
  Field# Field Name - DescriptionAttributes
  1 STATEFP C, 2, 0
  2 STATENS C, 8, 0
  3 GEOID C, 2, 0
  4 STUSPS C, 2, 0
  5 NAME C, 100, 0
  6 LSAD C, 2, 0
  7 ALAND N, 14, 0
  8 AWATER N, 14, 0
  9 POP040110 N, 9, 0
  10 POP040110B N, 9, 0
  11 POP070110 N, 9, 0
  12 POP070111 N, 9, 0
  13 POP070112 N, 9, 0
  14 POP070113 N, 9, 0
  15 POP070114 N, 9, 0
  16 POP070115 N, 9, 0
  17 POP070116 N, 9, 0
  18 C10B16 N, 9, 0
  19 C10B16P N, 9, 1
  20 RKC10B16 C, 9, 0
  21 RKC10B16P C, 9, 0
  22 NI10B16 N, 9, 0
  23 B10B16 N, 9, 0
  24 D10B16 N, 9, 0
  25 MIG10B16 N, 9, 0
  26 IMIG10B16 N, 9, 0
  27 DMIGD10B16 C, 9, 0
  28 D001 N, 9, 0
  29 D017 N, 9, 1
  30 S066 N, 9, 1
  31 S067 N, 9, 1
  32 E062 N, 9, 0
  33 E063 N, 9, 0
  34 H001 N, 9, 0
  35 H002 N, 9, 0
  36 H003 N, 9, 0
  37 H089 N, 9, 0
  38 PI2010Q1 N, 14, 0
  39 PI2010Q2 N, 14, 0
  40 PI2010Q3 N, 14, 0
  41 PI2010Q4 N, 14, 0
  42 PI2011Q1 N, 14, 0
  43 PI2011Q2 N, 14, 0
  44 PI2011Q3 N, 14, 0
  45 PI2011Q4 N, 14, 0
  46 PI2012Q1 N, 14, 0
  47 PI2012Q2 N, 14, 0
  48 PI2012Q3 N, 14, 0
  49 PI2012Q4 N, 14, 0
  50 PI2013Q1 N, 14, 0
  51 PI2013Q2 N, 14, 0
  52 PI2013Q3 N, 14, 0
  53 PI2013Q4 N, 14, 0
  54 PI2014Q1 N, 14, 0
  55 PI2014Q2 N, 14, 0
  56 PI2014Q3 N, 14, 0
  57 PI2014Q4 N, 14, 0
  58 PI2015Q1 N, 14, 0
  59 PI2015Q2 N, 14, 0
  60 PI2015Q3 N, 14, 0
  61 PI2015Q4 N, 14, 0
  62 PI2016Q1 N, 14, 0
  63 PI2016Q2 N, 14, 0
  64 PI2016Q3 N, 14, 0
  65 PI2016Q4 N, 14, 0
  66 PI2017Q1 N, 14, 0
  67 PI2017Q2 N, 14, 0
  68 POP2010Q1 N, 14, 0
  69 POP2010Q2 N, 14, 0
  70 POP2010Q3 N, 14, 0
  71 POP2010Q4 N, 14, 0
  72 POP2011Q1 N, 14, 0
  73 POP2011Q2 N, 14, 0
  74 POP2011Q3 N, 14, 0
  75 POP2011Q4 N, 14, 0
  76 POP2012Q1 N, 14, 0
  77 POP2012Q2 N, 14, 0
  78 POP2012Q3 N, 14, 0
  79 POP2012Q4 N, 14, 0
  80 POP2013Q1 N, 14, 0
  81 POP2013Q2 N, 14, 0
  82 POP2013Q3 N, 14, 0
  83 POP2013Q4 N, 14, 0
  84 POP2014Q1 N, 14, 0
  85 POP2014Q2 N, 14, 0
  86 POP2014Q3 N, 14, 0
  87 POP2014Q4 N, 14, 0
  88 POP2015Q1 N, 14, 0
  89 POP2015Q2 N, 14, 0
  90 POP2015Q3 N, 14, 0
  91 POP2015Q4 N, 14, 0
  92 POP2016Q1 N, 14, 0
  93 POP2016Q2 N, 14, 0
  94 POP2016Q3 N, 14, 0
  95 POP2016Q4 N, 14, 0
  96 POP2017Q1 N, 14, 0
  97 POP2017Q2 N, 14, 0
  98 PCPI2010Q1 N, 14, 0
  99 PCPI2010Q2 N, 14, 0
  100 PCPI2010Q3 N, 14, 0
  101 PCPI2010Q4 N, 14, 0
  102 PCPI2011Q1 N, 14, 0
  103 PCPI2011Q2 N, 14, 0
  104 PCPI2011Q3 N, 14, 0
  105 PCPI2011Q4 N, 14, 0
  106 PCPI2012Q1 N, 14, 0
  107 PCPI2012Q2 N, 14, 0
  108 PCPI2012Q3 N, 14, 0
  109 PCPI2012Q4 N, 14, 0
  110 PCPI2013Q1 N, 14, 0
  111 PCPI2013Q2 N, 14, 0
  112 PCPI2013Q3 N, 14, 0
  113 PCPI2013Q4 N, 14, 0
  114 PCPI2014Q1 N, 14, 0
  115 PCPI2014Q2 N, 14, 0
  116 PCPI2014Q3 N, 14, 0
  117 PCPI2014Q4 N, 14, 0
  118 PCPI2015Q1 N, 14, 0
  119 PCPI2015Q2 N, 14, 0
  120 PCPI2015Q3 N, 14, 0
  121 PCPI2015Q4 N, 14, 0
  122 PCPI2016Q1 N, 14, 0
  123 PCPI2016Q2 N, 14, 0
  124 PCPI2016Q3 N, 14, 0
  125 PCPI2016Q4 N, 14, 0
  126 PCPI2017Q1 N, 14, 0
  127 PCPI2017Q2 N, 14, 0


Importance of Demographic-Economic Data .. goto top
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..

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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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