Category Archives: 114th congressional districts

115th Congressional Districts: Analysis and Insights

.. interpretative data analytics; tools, data & methods ..  this section is focused on 115th Congressional District geographic, demographic and economic patterns and characteristics. Use tools and data reviewed here to examine/analyze characteristics of one congressional district (CD) or a group of CDs based on state, party or other attribute. Use the GIS resources described here for general CD reference/pattern/analytical views, to examine current demographics and demographic change and for redistricting applications. See this related Web section for more details.

Examining the 115th Congressional Districts
• the 115th Congress runs from January 2017 through December 2018.
• FL, MN, NC, VA have redistricted since the 114th CD vintage;
  .. some 115th CDs have new boundaries compared the 114th CDs.
• view, rank, compare CDs using the interactive table.
  .. table uses ACS 2015 data for 115th CDs & include incumbent attributes.
  .. examine districts by party affiliation.
• use these more detailed 114th CD interactive tables
  .. data based on 2015 American Community Survey – ACS 2015.
  .. corresponding data for the 115th CDs from ACS 2016 available Sept 2017.
• use the new GIS project including 114th & 115th CDs described below.
  .. create CD thematic and reference maps;
  .. examine CDs in context of other geography & subject matter.
• join us in the April 25 Data Analytics Lab session

Visual Analysis of Congressional Districts
The following views 1) provide insights into patterns among the 115th CDs and 2) illustrate how 114th to 115th geographic change can be examined. Use CV XE GIS software with the GIS project to create and examine alternative views.

Patterns of Household Income by 115th Congressional District
The following graphic shows the patterns of the median household income by 115th Congressional District based on the American Community Survey 2015 1-year estimates (ACS2015). The legend in the lower left shows data intervals and color/pattern assignment

.. view developed with ProximityOne CV XE GIS and related GIS project.

Charlotte NC-SC Metro Area
  – with 114th/115th Congressional District 12

The following graphic shows North Carolina CD 12 with 114th boundary (blue) and 115th boundary (pale yellow) and Charlotte metro bold brown boundary. Click graphic for larger view with more detail. Expand browser window for best view.

.. view developed using the CVGIS software.

• View zoom-in to Charlotte city & Mecklenburg County.

115th Congressional District Interactive Table
Use the interactive table to examine characteristics of one congressional district (CD) or a group of CDs. The following graphic illustrates use of the interactive table. First, the party type was selected, Democratic incumbents in this example. Next, the income and educational attainment columns were selected. Third, the set of districts were sorted on median household income. It is quick and easy to determine that CA18 has the highest median household income and that the MHI is $1,139,900. Try using the table to examine districts of interest.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

Census 2020 LUCA Program and You

.. what would be the financial impact of a one-percent understatement in the Census 2020 population count? Many political districts are drawn based upon population change and shifts, and allocations of government funding and services are made based upon official population data. Consider this one specific example. For each one-percent of the Atlanta MSA population missed in Census 2020, potentially due to less than fully accurate address and location data, the financial impact could be on the order of $414 million per year. How and why? At margin, each person not counted in the decennial census results in a per capita disposable income loss for the area in the magnitude of $5,494 in 2000, and $6,770 per person in 2020. 61,100 people undercounted times $6,770 yields $414 million.

This section is about the Censue 2020 Local Update of Census Addresses (LUCA) program and how it might impact the reduction in undercount .. and make the data more accurate for wide-ranging needs and uses. Read on for details about the LUCA program.

Atlanta-Sandy Springs-Roswell, GA MSA
The Atlanta metro shown with black bold boundary. More about this metro.

– View developed with CV XE GIS software.
– Click graphic to view patterns of neighborhood economic prosperity.

Financial Impact Details … the 2015 per capita current transfer payments (PCTP) in the Atlanta-Sandy Springs-Marietta MSA were $6,132, up from $5,494 in 2010. The PCTP figure in 2020 may be $6,770. For each one-percent of the Atlanta MSA population (61,100 people) missed in Census 2020, potentially due to less than fully accurate address and location data, the financial impact could be in the order of $414 million (61,100 x $6,770) per year as of Census 2020.  $414 million per year based on the 2020 population and PCTP.

Financial Impact in Your Areas of Interest
Estimate the financial impact in your areas of interest. Get the 2010 and 2015 population and PCTP data from the REIS Interactive Table for any county or state.  Compute the 2020 population and PCTP values, potential undercount to determine the financial impact on an area of interest

Census 2020 LUCA Overview
The Census 2020 LUCA program is an initiative of the Census Bureau, partnering with thousands of state and local governments across the U.S. At the core of this program, Census provides address list data to communities; those communities compare those data with their own data and provide address/geographic updates back to the Census Bureau.  The updated address and geographic data are integrated into the TIGER/Line files  — geographic backbone for collecting and tabulating the Census results. This important MAF/TIGER address-plus update program will help insure improved accuracy for Census 2020. LUCA is a geographic data development program engaging local communities across the U.S.

ProximityOne works with local areas to improve the TIGER/Line files leading up to Census 2020. Using the CV XE GIS software and specialized expertise, we helped hundreds of governmental units, including all of the State of Georgia, improve the coverage and content of the TIGER/Line files and thus the accuracy and completeness of Census 2010.

The Census 2020 LUCA program is starting now in 2016.  See the full schedule and related details in the LUCA Web section.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

Congressional District 2015 Demographic-Economic Characteristics

.. congressional districts vary widely in demographic-economic characteristics.  We have new data for 2015 providing insights to characteristics of the 114th Congressional Districts.  This section summarize a few of these characteristics and provides access to a wide range of data that you can use to view, sort, rank, and compare congressional districts using interactive tables.

Patterns of 2015 Educational Attainment
The following graphic shows patterns of educational attainment (percent college graduate) by congressional district in the Los Angeles area. White label shows the congressional district code; yellow label shows percent college graduate. Legend shows color patterns associated with percent college graduate intervals.

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

How Congressional Districts Compare
Reference items refer to items/columns shown in tables described below.

.. general demographics: congressional district UT03 has the smallest median age (27.5 years — item D017) and FL11 has the highest median age (53.5 years).

.. social characteristics: congressional district KY05 has the fewest number of people who speak English less than “very well” (2,676 — item S113) and FL27 has the largest number (281,053).

.. economic characteristics: congressional district ND00 has the lowest unemployment rate (2.6% — item E009) and MI13 has the highest unemployment rate (14.6%).

.. housing characteristics: congressional district MI13 has the lowest median housing value ($63,100 — item H089) and CA18 has the highest median housing value ($1,139,900).

Access the Detailed Interactive Tables
Click a link to view more thematic pattern maps and use the interactive tables.
.. General Demographics
.. Social Characteristics
.. Economic Characteristics
.. Housing Characteristics

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

New ACS 2015 1-Year Demographic-Economic Data

.. essential data to assess where we are, how things have changed and how things might change in the future down to the sub-neighborhood level. The American Community Survey (ACS) is a nationwide survey designed to provide annually updated demographic-economic data for national and sub-national geography. ACS provides a wide range of important data about people and housing for every community across the nation. The results are used by everyone from planners to retailers to homebuilders and issue stakeholders like you. ACS is a primary source of local data for most of the 40 topics it covers, such as income, education, occupation, language and housing. ProximityOne uses ACS to develop current estimates on these topics and 5-year projections. This section is focused on ACS 2015 data access, integration and use and is progressively updated.

New ACS 2015 1-year estimates are available as of September 15, 2016.

Importance of ACS: Assessing Demographic-Economic Change
Oil prices plummeted in late 2014. How has this affected people and households in areas hardest hit? Find out for wide-ranging geographies using the ACS 2015 1-year estimates. Compare to ACS 2014 1-year estimates. Use the ACS 2016 1-year estimates (September 2017) to see how the impact has continued. Demographic-economic conditions change for many reasons; oil price changes are just one.

Keep informed about ACS developments and related tools and applications:
• Updates are sent to ProximityOne User Group members (join here).
… access special extract files and GIS projects available to members.
• ACS updates and applications are covered in the Data Analytics Blog.
• ACS data access, integration & use … join us in a Data Analytics Lab session.

In the weeks ahead, the following ProximityOne information resources will be updated with new ACS 2015 1-year data:
U.S.-State-Metro Interactive Tables
• Demographic component section of Metro Situation & Outlook Reports .. example for Dallas metro
• Housing characteristics component section of Metro Situation & Outlook Reports .. example for Dallas metro
Demographic-Economic Trend Profiles
• Special study reports.

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

State and Regional Decision-Making Information

Organized on a state-by-state basis, use tools and geographic, demographic and economic data resources in these sections to facilitate planning and analysis. Updated frequently, these sections provide a unique means to access to multi-sourced data to develop insights into patterns, characteristics and trends on wide-ranging issues. Bookmark the related main Web page; keep up-to-date.

Using these Resources
Knowing “where we are” and “how things have changed” are key factors in knowing about the where, when and how of future change — and how that change might impact you. There are many sources of this knowledge. Often the required data do not knit together in an ideal manner. Key data are available for different types of geography, become available at different points in time and are often not the perfect subject matter. These sections provide access to relevant data and a means to consume the data more effectively than might otherwise be possible. Use these data, tools and resources in combination with other data to perform wide-ranging data analytics. See examples.

Select a State/Area

Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
D.C.
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming

Topics for each State — with drill-down to census block
Visual pattern analysis tools … using GIS resources
Digital Map Database
Situation & Outlook
Metropolitan Areas
Congressional Districts
Counties
Cities/Places
Census Tracts
ZIP Code Areas
K-12 Education, Schools & School Districts
Block Groups
Census Blocks

Join me in a Data Analytics Lab session to discuss more details about accessing and using wide-ranging demographic-economic data and data analytics. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

How to Assess the Hispanic Vote for the 2016 Elections?

.. a good place to start finding an answer to this question is to use the Hispanic citizen voting age population (CVAP) data. We take a look at using those data here. You can use these same tools and data to examine areas of interest.

This section is focused on using census tract level CVAP data. Census tracts cover the U.S. wall-to-wall with well-defined boundaries and average 4,000 population. The 73,057 census tracts offer a good granularity to examine citizen voting age population for neighborhoods and sections of cities or counties.

While the focus is on the Hispanic population, this population group is comprised of many specific origins (more about Hispanic population by specific origin). And, although this section is focused on the Hispanic population, the CVAP data are tabulated for several race/ethnicity combinations. We could apply these same tools to other race/ethnic combinations.

%Hispanic CVAP by Census Tract; Houston Area
— in context of Texas 114th Congressional District 29 (black boundary)
.. view developed with ProximityOne CV XE GIS and related GIS project.

This map shows how Texas 114th CD 29 has many census tracts that have high concentrations and percent of Hispanic CVAP (see legend at lower right in graphic). It is easy to where the Hispanic vote potential is by tract throughout the central Houston area. Develop thematic map patterns like this for any area of the U.S. Optionally link in voting districts/precincts, state legislative districts among many others. Modify appearance with different colors, interval/color assignments, labels among other settings.

CVAP data are available for several types of geographic areas (states, counties, census tracts, block groups, among others) from the annually updated American Community Survey (ACS) CVAP special tabulation.

How to Assess the Hispanic Vote for the 2016 Elections?
Identifying the census tracts having large numbers of Hispanic CVAP and high percentages, is a step one. But an important one. The next steps involve 1) determining the scope of the registered to vote Hispanic CVAP and 2) the registered to vote Hispanic CVAP turn-out on voting day or by absentee ballot.

Use the Interactive Table to Examine Hispanic CVAP
Use the interactive table in this related section to analyze patterns among census tracts where numbers and percent of Hispanic CVAP are large. Follow these steps to analyze pattern in the central Houston:

• Click ShowAll button below table (resets table).
• Click CountyFIPS button below table.
– refreshes table with only tracts in county 48201 (Harris County/Houston).
• Click Hispanic button below table at far right.
– refreshes table with same rows but now selected columns.
• Click the “CVAP Hispanic” column header twice.
– sorts in descending order; view now appears as:

Tract 48201221300 has the highest Hispanic CVAP (3,405) among all tracts in Harris County (48201). This tract is shown in the map below (see pointer; a zoom in to the map shown above). The tract is labeled with the tract code and the Hispanic CVAP population (3,405).

Examining Texas CD 114 29 CVAP Characteristics
The CV XE GIS Site Analysis tool was used to examine CVAP characteristics for the set of census tracts intersecting with Texas CD 114 29. This is a close but rough approximation as census tracts are not fully coterminous with CD boundaries. In this case there are 136 tracts intersecting with CD 29. Approximately 98% of the composite tracts area is coincident with the CD 29 area.

In the 2014 House election, the total CD 29 votes cast was less than 50,000. The incumbent won the election with 42,000 votes. Meanwhile, the total population for the 136 tract area was 708,709, the total CVAP was 332,060 and the Hispanic CVAP was 202,495 (ACS 2014 estimates). Roughly 150,000 eligible Hispanic CVAP voters did not vote. How to assess the potential impact of a further engaged Hispanic CVAP?

Analyzing Elections/Geographic Areas of Interest
Apply these same methods to any area in the U.S. to determine those census tracts having the highest Hispanic CVAP and the *potential* to have a relatively large Hispanic Vote in the 2016 Elections.

Join me in a Data Analytics Lab session to discuss more details about analyzing characteristics of the citizen voting age population. Learn more about using these data for areas and applications of interest.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

Congressional District Citizen Voting Age Population

.. congressional districts are very diverse in terms of the overall percent and geographic distribution of citizen voting age population. The size and distribution of the citizen voting age population are important as this population group determines election outcomes. Among the 114th Congressional Districts, the citizen voting age population (CVAP) ranged from 43.2% of the total population (CA40) to 81.2% (FL11) in 2014. Nationally, the citizen voting age population (CVAP) was 70.5% of the total population

% Citizen Voting Age Population by Congressional District

– view developed with ProximityOne CV XE GIS and related GIS project.

Use the interactive table discussed in this section to view/rank/compare/query national scope citizen and CVAP estimates by 114th Congressional District, state and the U.S.  Access the interactive table in this related Web page.

Examining patterns of the citizen voting age population … the Voting Rights Act prohibits development of voting districts that discriminate against potential voters on the basis of race and/or language minority status. To examine how voting districts comply with the Voting Rights Act requires data on the citizen voting age population (CVAP) by race/origin for many types of geographic areas. This section provides data analytics tools to examine ACS 2014 1-year CVAP estimates for 114th Congressional Districts. See related section for information CVAP demographics at the census tract level.

The CVAP data can be used to develop insights into alternative interpretations of “one person one vote.” The Supreme Court on May 26, 2015, agreed to hear a case that will answer a long-contested question about a principle of the American political system — the meaning of “one person one vote.” The court has never resolved whether that means that voting districts should have the same number of people, or the same number of eligible voters. The difference matters in places with large numbers of people who cannot vote legally, including immigrants who are here legally but are not citizens; unauthorized immigrants; children; and prisoners.

The CVAP estimates provide only one part of the required data. Voting district and other boundaries and data are also needed to be used in combination with the CVAP estimates. Using GIS tools, the CVAP estimates can be used in mapping applications, such as those reviewed in this section, in combination with voting district boundaries to reveal potential non-compliance in the structure of voting districts.

Interactive Table
Use this interactive table to view/rank/compare/query national scope citizen and CVAP estimates by 114th Congressional District, state and the U.S. These data are based on ACS 2014 1-year estimates found in Table B05003. See more information about computing CVAP and accessing/integrating related data.

The graphic shown below illustrates using the interactive table to rank California congressional districts in ascending order on percent citizen voting age population. Use the interactive table to examine congressional districts of interest.

Join me in a Data Analytics Lab session to discuss more details about analyzing citizen voting age population and use of data analytics to develop further detail related to your interests.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.