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.. use with Visual Data Analytics (VDA) Geographic Information Systems (GIS) This Visual Data Analytics VDA project (VDA tools) is focusing on mapping and geospatial analysis of the existing and proposed Texas redistricting. See more about redistricting. The proposed redistricting may or may not take place and is a topic of heated conversation at this time. This GIS project is a "Group One" project and includes selected national scope layers. In addition, the VDA GIS tools may be used to examine these layers for Texas: census blocks with demographics, 119th Congressional Districts with "Itemset1" demographics, 119th Congressional Communities with "Itemset1" demographics and proposed Texas Plan C2308 120th Congress Redistricting Plan. Quickly see things like population, income, education, housing, and poverty. The "itemset1" data are a set of approximately 250 selected items taken from the American Community Survey 2023 ACS2023) data (DP2, DP3, DP4 and DP5 datasets). Metadata for itemset1 data are shown below. Using the Visual Data Analytics - Texas Redistricting GIS Project Find a Metro, City, County, Congressional District, Congressional Community, or Census Tract Layer: 1. Make the Layer active (click name and layer name turns blue) 2. Enter an address in the iVDA interactive mapping search bar and press Enter. 3. Map view refreshes to the Layer and shows the profile in the lower left panel. Use the Visual Data Analytics VDA - Texas Redistricting GIS project using iVDA or VDAW4. The start-up view of the VDA_DP GIS project using iVDA is shown below. Using iVDA with the VDA Texas Redistricting Project .. goto top .. The starting view shows the lower 48 states by county. .. the page being viewed is located at https://proximityone.com/texas_redistricting.htm .. use the VDAW4 tool with this and other projects to access more features. Metadata for VDA Texas Redistricting Project Ttemset1 Layers .. goto top Metadata files describe the fields in corresponding layers, with illustrative sample views (click graphic for larger view). .. each graphic shows view of item from that layer.
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 E009P=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 E119P=E119 Percent Families whose income past 12 months below poverty level E128P=E128 Percent 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 Static Graphics Ilustrating CD 29 Before and After .. goto top .. showing census blocks by CD Area Texas CD 29 CD 119  Texas CD 29 Proposed  Texas CD 29 CD 119 and Proposed  The VDA ACS GIS Project -- a "Group One" GIS Project .. goto top There are several Group One VDA GIS projects further described in the VDA4 GIS project Main Menu section. Group One Projects have these properties: .. focused on one geography. .. comprised of approximately 10 layers. .. contain the identical, most recent data for these layers: States CBSA/MSA Counties Cities States1 Base layer -- topology Role of GIS and Analysis of ACS Itemset1 Data A Geographic Information System (GIS) is a computer -based tool that allows users to store, analyze, visualize, and interpret geographic data. Geographic data, also known as spatial or geospatial data, identifies the location of features on earth. GIS combines the visual elements of maps with the ability to link characteristics about those features in datasets. This relationship allows GIS to locate, display, analyze, and model data. GIS technology integrates geographic data with statistical and administrative data using statistical methods and analytics. These abilities make GIS valuable to a wide range of public and private enterprises for explaining events, predicting outcomes and planning strategies. And collaborating on those issues. About Redistricting .. goto top U.S. House of Representative redistricting is the process of redrawing the boundaries of congressional districts within a state. This is a critical process that happens every 10 years following the U.S. Census. The goal is to ensure that each district has a roughly equal population, reflecting changes in where people live. Here's a breakdown of how it works: Census and Apportionment: After the decennial census, the U.S. government uses the population data to "apportion" or divide the 435 seats in the House of Representatives among the 50 states. States that have gained population relative to others may gain a seat, while those with stagnant or declining populations may lose one. Redrawing the Maps: Once a state knows how many congressional seats it has, it must redraw its district lines. This is the process of redistricting. Who Draws the Lines: The entity responsible for drawing the maps varies by state. In most states, the state legislature is in charge, and the new map is passed like any other bill, often requiring the governor's signature. However, a growing number of states have adopted independent or bipartisan commissions to handle the task, aiming to reduce partisan influence. Gerrymandering: The redistricting process is often highly political and can lead to gerrymandering, which is the practice of drawing district boundaries to give one political party an advantage. There are two main strategies for gerrymandering: Packing: Concentrating voters of one party into a few districts to limit their influence in other districts. Cracking: Spreading voters of one party across many districts to weaken their voting power and prevent them from forming a majority. Legal Challenges: Redistricting plans can be challenged in court if they are believed to violate the U.S. Constitution or federal laws, such as the Voting Rights Act, which prohibits maps that discriminate on the basis of race. Courts may invalidate maps and, in some cases, draw new ones themselves. About iVDA & VDAGIS .. goto top iVDA is an HTML iframe embedded version of VDA Web GIS. VDAGIS tools and data have been developed and are updated/supported by Warren Glimpse/ProximityOne/Alexandria, VA USA and Takashi Hamilton/Tsukasa/Osaka, Japan. Support Using these Resources .. goto top Learn more about census tract demographic economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these informal sessions focused on your interests. The open structure provides for Q&A and discussion of application issues of interest to participants. Terms of Use .. goto top There is no warranty regarding any aspect of this using this project. The user is solely responsible for any use made of iVDA or data contained in project files. 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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