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VDA GIS Analysis of Variance (ANOVA)
  .. how and what factors cause congressional communities
        to vary within their congressional district

This section reviews the scope and use of the vda_anova.gis project using the VDAW4 GIS or iVDA GIS tool. The vda_anova.gis project is derived from the vda.gis project, adding two layers both showing name "CC in CD Z-Score Outlier".
Layer 1:
• CC in CD Z-Score Outlier
    -- uses layer editor to set D019Z>=2 (D019 Under 18 Yrs High)
• CC in CD Z-Score Outlier
    -- uses layer editor to set D019Z<=-2 (D019 Under 18 Yrs Low)
This layer setting accounts for one of 68 demographic items available for use.

The second layer is configured as follows:
• CC in CD Z-Score Outlier
    -- uses layer editor to set D024Z>=2 (D024 65 Yrs and over High)
• CC in CD Z-Score Outlier
    -- uses layer editor to set D024Z<=-2 (D024 65 Yrs and over Low)
This layer setting accounts for the second of 68 demographic items available for use.

See these layers and settings in this graphic and the the interactive iVDA below.
   

This section and project are focused on CCs and CDs. The same process could be run with tracts and counties, school districts and states, and so on.

The ANOVA values, z-scores, are computed between each CC and corresponding CD. This section does not provide for the actual Z-score computation. The ANOVA, z-score test, provides data applied using the algorithm to data from ACS 2023 program.

We start with VDA (Visual Data Analysis) geospatial tools to analyze Congressional Communities in context of Congressional Districts.

Using VDA to Examine how Congressional Communities relate to their Congressional Districts .. goto top
.. the starting view shows the Orange and San Diego County area.
.. use VDAW4 for full-screen view. See below for more detail.
.. click in the legend panel to highlight to a name. That determines which item you are using.
.. areas colored red are high extremes (>=2); areas colored blue are low extremes (<=-2)
.. areas not colored are not extremes
.. click a CC of interest and view profile in lower left panel. Or, enter your address and press Enter.
   

What use two layers? One layer can show the relation of one item. Two layers can show the relation of two items. By using the File>Tools>Layer Editor, choose any one or two other items.

An Example of Using the Layer Editor to Change Item .. goto top
Suppose we want to use the first layer "CC in CD Z-Score Outlier" and use E074 SNAP (Supplemental Nutrition Assistance Program) Households instead of D019 Under 18 Yrs.

Using Layer Editor:


Result: CC 0640009 is red indicating this CC is High Extreme relative to this CD for this item.


Items included in ANOVA Shapefile (from Itemset1 group below)
.. these items were computed in the Z-score as a percentage of population or housing
D019 Under 18 years
D024 65 years and over
D036 One Race
D037 One Race -- White
D039 One Race -- American Indian and Alaska Native
D055 One Race -- Native Hawaiian and Other Pacific Islander
D060 One Race -- Some Other Race
D061 Two or more races
D076 Hispanic or Latino (of any race)
D081 Not Hispanic or Latino
D082 Not Hispanic or Latino -- White Alone
D083 Not Hispanic or Latino -- Black or African American Alone
D092 CVAP Citizen 18 and Over Population
S053 School Enrollment -- Pop 3 Yrs & Over Enrolled in School
S058 School Enrollment -- Pop 3 Yrs & Over Enrolled in School -- College or Graduate School
S068 Educational Attainment -- Pop 25 Yrs & Over -- Percent Bachelor's Degree or Higher
S079 Residence 1 Year Ago -- Population 1 Year and Over
S080 Residence 1 Year Ago -- Same House
S086 Residence 1 Year Ago -- Different House in US -- Different County -- Different State
S087 Residence 1 Year Ago -- Abroad
S089 Place of Birth -- Native
S092 Place of Birth -- Native -- Born in U.S. -- Different State
S152 Computers and Internet Use -- Total Households
S153 Computers and Internet Use -- Households with a Computer
S154 Computers and Internet Use -- Households with a Broadband Internet Subscription
E001 Employment Status -- Population 16 Years+
E002 Employment Status -- in Labor Force
E003 Employment Status -- Civilian Labor Force
E004 Employment Status -- Employed
E005 Employment Status -- Unemployed
E006 Employment Status -- Armed Forces
E007 Employment Status -- Not in Labor Force
E009 Employment Status -- Percent Unemployed
E047 Class of Worker -- Private Wage & Salary
E048 Class of Worker -- Government Workers
E049 Class of Worker -- Self-Employed, Not Inc Business Workers
E066 Income and Benefits -- Households -- with Social Security
E068 Income and Benefits -- Households -- with Retirement Income
E074 Income and Benefits -- Households -- with Food Stamp/Snap Benefits in the Past 12 Months
E095 Civ Noninst Population
E096 Civ Noninst Population -- Health Insurance Coverage .. with Health Insurance Coverage
E097 Civ Noninst Population -- Health Insurance Coverage ... with Private Health Insurance Coverage
E098 Civ Noninst Population -- Health Insurance Coverage ... with Public Health Coverage
E099 Civ Noninst Population -- Health Insurance Coverage .. no Health Insurance Coverage
H002 Occupied Housing Units
H003 Vacant Housing Units
H007 Total Housing Units -- Units in Structure -- 1-Unit Detached
H008 Total Housing Units -- Units in Structure -- 1-Unit Attached
H009 Total Housing Units -- Units in Structure -- 2 Units
H010 Total Housing Units -- Units in Structure -- 3 or 4 Units
H012 Total Housing Units -- Units in Structure -- 10 to 19 Units
H014 Total Housing Units -- Units in Structure -- Mobile Home
H015 Total Housing Units -- Units in Structure -- Boat, RV, Van
H017 Total Housing Units -- Year Built -- 2020 or later
H037 Total Housing Units -- Rooms -- Median Rooms
H046 Tenure -- Owner-Occupied
H047 Tenure -- Renter-Occupied
H048 Tenure -- Average Household Size of Owner-Occupied Unit
H049 Tenure -- Average Household Size of Renter-Occupied Unit
H051 Year Householder Moved into Unit -- 2021 or later
H058 Occ housing units -- No Vehicles Available
H059 Occ housing units -- Vehicles Available -- 1 Vehicle Available
H060 Occ housing units -- Vehicles Available -- 2 Vehicles Available
H061 Occ housing units -- Vehicles Available -- 3 or More Vehicles Available
H091 Mortgage Status -- Housing Units with a Mortgage
H092 Mortgage Status -- Housing Units Without a Mortgage
H126 Occupied Units Paying Rent

Itemset 1
D001=D001 Total Population
D002=D002 Male
D003=D003 Female
D005=D005 Under 5 Years
D006=D006 5 to 9 Years
D007=D007 10 to 14 Years
D008=D008 15 to 19 Years
D009=D009 20 to 24 Years
D010=D010 25 to 34 Years
D011=D011 35 to 44 Years
D012=D012 45 to 54 Years
D013=D013 55 to 59 Years
D014=D014 60 to 64 Years
D015=D015 65 to 74 Years
D016=D016 75 to 84 Years
D017=D017 85 Years and Over
D018=D018 Median age (years)
D019=D019 Under 18 years
D020=D020 16 years and over
D021=D021 18 years and over
D022=D022 21 years and over
D023=D023 62 years and over
D024=D024 65 years and over
D036=D036 One Race
D037=D037 One Race -- White
D038=D038 One Race -- Black or African American
D039=D039 One Race -- American Indian and Alaska Native
D044=D044 One Race -- Asian
D052=D052 One Race -- Native Hawaiian and Other Pacific Islander
D057=D057 One Race -- Some Other Race
D058=D058 Two or more races
D073=D073 Hispanic or Latino (of any race)
D074=D074 Hispanic or Latino (of any race) -- Mexican
D078=D078 Not Hispanic or Latino
D079=D079 Not Hispanic or Latino -- White Alone
D080=D080 Not Hispanic or Latino
D088=D088 Total housing units
D089=D089 Citizen 18 and Over Population
D090=D090 Citizen 18 and Over Population - Male
D091=D091 Citizen 18 and Over Population - Female
S001=S001 Total Households
S002=S002 Total Households -- Married-couple family
S004=S004 Total Households -- Cohabitating couple household
S008=S008 Total Households -- Householder living alone male
S012=S012 Total Households -- Householder living alone female
S016=S016 Average household size
S017=S017 Average family size
S018=S018 Population in Households
S053=S053 School Enrollment -- Pop 3 Yrs & Over Enrolled in School
S054=S054 School Enrollment -- Pop 3 Yrs & Over Enrolled in School -- Nursery School Preschool
S055=S055 School Enrollment -- Pop 3 Yrs & Over Enrolled in School -- Kindergarten
S056=S056 School Enrollment -- Pop 3 Yrs & Over Enrolled in School -- Elementary School (Grades 1-8)
S057=S057 School Enrollment -- Pop 3 Yrs & Over Enrolled in School -- High School (Grades 9-12)
S058=S058 School Enrollment -- Pop 3 Yrs & Over Enrolled in School -- College or Graduate School
S059=S059 Educational Attainment -- Pop 25 Yrs & Over
S060=S060 Educational Attainment -- Pop 25 Yrs & Over -- Less than 9th Grade
S061=S061 Educational Attainment -- Pop 25 Yrs & Over -- 9th to 12th Grade No Diploma
S062=S062 Educational Attainment -- Pop 25 Yrs & Over -- High School Graduate (Incl Equivalency)
S063=S063 Educational Attainment -- Pop 25 Yrs & Over -- Some College No Degree
S064=S064 Educational Attainment -- Pop 25 Yrs & Over -- Associate's Degree
S065=S065 Educational Attainment -- Pop 25 Yrs & Over -- Bachelor's Degree
S066=S066 Educational Attainment -- Pop 25 Yrs & Over -- Graduate or Professional Degree
S067=S067 Educational Attainment -- Pop 25 Yrs & Over -- Percent High School Graduate or Higher
S068=S068 Educational Attainment -- Pop 25 Yrs & Over -- Percent Bachelor's Degree or Higher
S079=S079 Residence 1 Year Ago -- Population 1 Year and Over
S080=S080 Residence 1 Year Ago -- Same House
S081=S081 Residence 1 Year Ago -- Different House in US or abroad
S082=S082 Residence 1 Year Ago -- Different House in US
S083=S083 Residence 1 Year Ago -- Different House in US -- Same County
S084=S084 Residence 1 Year Ago -- Different House in US -- Different County
S085=S085 Residence 1 Year Ago -- Different House in US -- Different County -- Same State
S086=S086 Residence 1 Year Ago -- Different House in US -- Different County -- Different State
S087=S087 Residence 1 Year Ago -- Abroad
S089=S089 Place of Birth -- Native
S090=S090 Place of Birth -- Native -- Born in U.S.
S091=S091 Place of Birth -- Native -- Born in U.S. -- State of Residence
S092=S092 Place of Birth -- Native -- Born in U.S. -- Different State
S093=S093 Place of Birth -- Native -- Born in PR, US Island Areas or Born Abroad to American Parents
S094=S094 Place of Birth -- Foreign Born
S095=S095 U.S. Citizenship Status -- Foreign-Born Population
S096=S096 U.S. Citizenship Status -- Foreign-Born Population -- Naturalized U.S. Citizen
S097=S097 U.S. Citizenship Status -- Foreign-Born Population -- Not a U.S. Citizen
S112=S112 Language Spoken at Home -- Pop 5 Yrs & Over
S113=S113 Language Spoken at Home -- Pop 5 Yrs & Over -- English Only
S114=S114 Language Spoken at Home -- Pop 5 Yrs & Over -- Language Other Than English
S115=S115 Language Spoken at Home -- Pop 5 Yrs & Over -- Language Other Than English -- Speak English Less Than Very Well
S116=S116 Language Spoken at Home -- Pop 5 Yrs & Over -- Language Other Than English -- Spanish
S117=S117 Language Spoken at Home -- Pop 5 Yrs & Over -- Language Other Than English -- Spanish -- Speak English Less Than Very Well
S152=S152 Computers and Internet Use -- Total Households
S153=S153 Computers and Internet Use -- Households with a Computer
S154=S154 Computers and Internet Use -- Households with a Broadband Internet Subscription
E001=E001 Employment Status -- Population 16 Years+
E002=E002 Employment Status -- in Labor Force
E003=E003 Employment Status -- Civilian Labor Force
E004=E004 Employment Status -- Employed
E005=E005 Employment Status -- Unemployed
E006=E006 Employment Status -- Armed Forces
E007=E007 Employment Status -- Not in Labor Force
E008=E008 Employment Status -- Civilian Labor Force
E009=E009 Employment Status -- Percent Unemployed
E026=E026 Civilian Employed Population 16 Years+
E027=E027 Occupation -- Management, business, science, and arts
E028=E028 Occupation -- Service occupations
E029=E029 Occupation -- Sales and office occupations
E030=E030 Occupation -- Natural resources, construction & maintenance
E031=E031 Occupation -- Production, trans and material moving
E033=E033 Industry -- Agriculture Forestry Fishing & Hunting & Mining
E034=E034 Industry -- Construction
E035=E035 Industry -- Manufacturing
E036=E036 Industry -- Wholesale Trade
E037=E037 Industry -- Retail Trade
E038=E038 Industry -- Transportation & Warehousing & Utilities
E039=E039 Industry -- Information
E040=E040 Industry -- Finance & Insurance & Real Estate & Rental & Leasing
E041=E041 Industry -- Prof, Scientific, & Management & Admin & Waste Mgmt Svc
E042=E042 Industry -- Educational Services & Health Care & Social Assistance
E043=E043 Industry -- Arts, Entertainment, Recreation, Accommodation & Food Services
E044=E044 Industry -- Other Services Except Public Administration
E045=E045 Industry -- Public Administration
E047=E047 Class of Worker -- Private Wage & Salary Workers
E048=E048 Class of Worker -- Government Workers
E049=E049 Class of Worker -- Self-Employed, Not Inc Business Workers
E050=E050 Class of Worker -- Unpaid Family Workers
E052=E052 Total Households -- Income and Benefits -- Less Than $10,000
E053=E053 Total Households -- Income and Benefits -- $10,000 to $14,999
E054=E054 Total Households -- Income and Benefits -- $15,000 to $24,999
E055=E055 Total Households -- Income and Benefits -- $25,000 to $34,999
E056=E056 Total Households -- Income and Benefits -- $35,000 to $49,999
E057=E057 Total Households -- Income and Benefits -- $50,000 to $74,999
E058=E058 Total Households -- Income and Benefits -- $75,000 to $99,999
E059=E059 Total Households -- Income and Benefits -- $100,000 to $149,999
E060=E060 Total Households -- Income and Benefits -- $150,000 to $199,999
E061=E061 Total Households -- Income and Benefits -- $200,000 or More
E062=E062 Median Household Income
E063=E063 Mean Household Income
E064=E064 Income and Benefits -- Households -- with Earnings
E065=E065 Income and Benefits -- Households -- with Earnings -- Mean Earnings $
E066=E066 Income and Benefits -- Households -- with Social Security
E067=E067 Income and Benefits -- Households -- with Social Security -- Mean Social Security Income $
E068=E068 Income and Benefits -- Households -- with Retirement Income
E069=E069 Income and Benefits -- Households -- with Retirement Income -- Mean Retirement Income $
E070=E070 Income and Benefits -- Households -- with Supplemental Security Income
E071=E071 Income and Benefits -- Households -- with Supplemental Security Income -- Mean Supplemental Security Income $
E072=E072 Income and Benefits -- Households -- with Cash Public Assistance Income
E073=E073 Income and Benefits -- Households -- with Cash Public Assistance Income -- Mean Cash Public Assistance Income $
E074=E074 Income and Benefits -- Households -- with Food Stamp/Snap Benefits in the Past 12 Months
E075=E075 Income and Benefits -- Families
E076=E076 Income and Benefits -- Families -- Less Than $10,000
E077=E077 Income and Benefits -- Families -- $10,000 to $14,999
E078=E078 Income and Benefits -- Families -- $15,000 to $24,999
E079=E079 Income and Benefits -- Families -- $25,000 to $34,999
E080=E080 Income and Benefits -- Families -- $35,000 to $49,999
E081=E081 Income and Benefits -- Families -- $50,000 to $74,999
E082=E082 Income and Benefits -- Families -- $75,000 to $99,999
E083=E083 Income and Benefits -- Families -- $100,000 to $149 999
E084=E084 Income and Benefits -- Families -- $150,000 to $199 999
E085=E085 Income and Benefits -- Families -- $200,000 or More
E086=E086 Median Family Income
E087=E087 Mean Family Income
E088=E088 Per Capita Income
E089=E089 Nonfamily Households
E090=E090 Nonfamily Households -- Median Nonfamily Income
E091=E091 Nonfamily Households -- Mean Nonfamily Income
E092=E092 Median Earnings for Workers
E093=E093 Median Earnings for Male Full-Time Year-Round Workers
E094=E094 Median Earnings for Female Full-Time Year-Round Workers
E095=E095 Civ Noninst Population
E096=E096 Civ Noninst Population -- Health Insurance Coverage -- .. with Health Insurance Coverage
E097=E097 Civ Noninst Population -- Health Insurance Coverage -- ... with Private Health Insurance Coverage
E098=E098 Civ Noninst Population -- Health Insurance Coverage -- ...... with Public Health Coverage
E099=E099 Civ Noninst Population -- Health Insurance Coverage -- .... No Health Insurance Coverage
E119=E119 Families whose income past 12 months below poverty level
E128=E128 All People whose income past 12 months below poverty level
H001=H001 Total Housing Units
H002=H002 Occupied Housing Units
H003=H003 Vacant Housing Units
H004=H004 Homeowner Vacancy Rate
H005=H005 Rental Vacancy Rate
H007=H007 Total Housing Units -- Units in Structure -- 1-Unit Detached
H008=H008 Total Housing Units -- Units in Structure -- 1-Unit Attached
H009=H009 Total Housing Units -- Units in Structure -- 2 Units
H010=H010 Total Housing Units -- Units in Structure -- 3 or4 Units
H011=H011 Total Housing Units -- Units in Structure -- 5 to 9 Units
H012=H012 Total Housing Units -- Units in Structure -- 10 to 19 Units
H013=H013 Total Housing Units -- Units in Structure -- 20 or More Units
H014=H014 Total Housing Units -- Units in Structure -- Mobile Home
H015=H015 Total Housing Units -- Units in Structure -- Boat, RV, Van
H017=H017 Total Housing Units -- Year Built -- 2020 or later
H018=H018 Total Housing Units -- Year Built -- 2010 to 2019
H019=H019 Total Housing Units -- Year Built -- 2000 to 2009
H020=H020 Total Housing Units -- Year Built -- 1990 to 1999
H021=H021 Total Housing Units -- Year Built -- 1980 to 1989
H022=H022 Total Housing Units -- Year Built -- 1970 to 1979
H023=H023 Total Housing Units -- Year Built -- 1960 to 1969
H024=H024 Total Housing Units -- Year Built -- 1950 to 1959
H025=H025 Total Housing Units -- Year Built -- 1940 to 1949
H026=H026 Total Housing Units -- Year Built -- 1939 or earlier
H037=H037 Total Housing Units -- Rooms -- Median Rooms
H046=H046 Tenure -- Owner-Occupied
H047=H047 Tenure -- Renter-Occupied
H048=H048 Tenure -- Average Household Size of Owner-Occupied Unit
H049=H049 Tenure -- Average Household Size of Renter-Occupied Unit
H051=H051 Year Householder Moved into Unit -- 2019 or later
H052=H052 Year Householder Moved into Unit -- 2015 to 2018
H053=H053 Year Householder Moved into Unit -- 2010 to 2014
H054=H054 Year Householder Moved into Unit -- 2000 to 2009
H055=H055 Year Householder Moved into Unit -- 1990 to 1999
H056=H056 Year Householder Moved into Unit -- 1989 or earlier
H058=H058 Occ housing units -- No Vehicles Available
H059=H059 Occ housing units -- Vehicles Available -- 1 Vehicle Available
H060=H060 Occ housing units -- Vehicles Available -- 2 Vehicles Available
H061=H061 Occ housing units -- Vehicles Available -- 3 or More Vehicles Available
H063=H063 House Heating Fuel -- Utility Gas
H064=H064 House Heating Fuel -- Bottled Tank or LP Gas
H065=H065 House Heating Fuel -- Electricity
H066=H066 House Heating Fuel -- Fuel Oil Kerosene Etc.
H067=H067 House Heating Fuel -- Coal orCoke
H068=H068 House Heating Fuel -- Wood
H069=H069 House Heating Fuel -- Solar Energy
H077=H077 Occupants per Room -- 1.00 or Less
H078=H078 Occupants per Room -- 1.01 to 1.50
H079=H079 Occupants per Room -- 1.51 or More
H081=H081 Value -- Less Than $50 000
H082=H082 Value -- $50,000 to $99,999
H083=H083 Value -- $100,000 to $149,999
H084=H084 Value -- $150,000 to $199,999
H085=H085 Value -- $200,000 to $299,999
H086=H086 Value -- $300,000 to $499,999
H087=H087 Value -- $500,000 to $999,999
H088=H088 Value -- $1,000,000 or More
H089=H089 Median Housing Value
H090=H090 Owner-Occupied Units
H091=H091 Mortgage Status -- Housing Units with a Mortgage
H092=H092 Mortgage Status -- Housing Units Without a Mortgage
H126=H126 Occupied Units Paying Rent
H127=H127 Gross Rent -- Less Than $500
H128=H128 Gross Rent -- $500 to $999
H129=H129 Gross Rent -- $1,000 to $1,499
H130=H130 Gross Rent -- $1,500 to $1,999
H131=H131 Gross Rent -- $2,000 to $2,499
H132=H132 Gross Rent -- $2,500 to $2,999
H133=H133 Gross Rent -- $3,000 or More
H134=H134 Median Rent

Use VDA GIS for Further Analysis
The Visual Data Analytics (VDA) Geographic Information System (GIS) was used to develop the above maps. You can use VDA GIS to develop variations of the maps; different intervals, colors, zooms, etc. There is nothing to install. VDAGIS tools and data have been developed and are updated/supported by Warren Glimpse/ProximityOne/Alexandria, VA USA and Takashi Hamilton/Tsukasa/Osaka, Japan.

ProximityOne User Group .. goto top
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 .. goto top
Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Web session. No fee. 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 .. goto top
ProximityOne develops geographic-demographic-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. Contact ProximityOne (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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