Tag Archives: Dallas ISD

Texas School District Demographic Trends

.. new data, new insights .. in the 2015-16 school year, there were 21 school districts in Texas (of a total 1,025) with enrollment of 50,000 or more students. Among these districts, six districts experienced an enrollment decline between the 2011-12 and 2015-16 school years. Four districts experienced more than 10-percent increase in enrollment (Frisco, Katy, Conroe and Klein). Use the interactive table to view, rank, query and compare Texas school districts by annual enrollment, 2011-12 to 2015-16 , and change over the period. This section provides access to data analytics tools to examine patterns and characteristics of enrollment for Texas local education agencies. Use the GIS project and datasets described here to examine districts and regions of interest. See the full Web page for more comprehensive version of topics reviewed here.

Enrollment Change Patterns: Texas School Districts. 2011-2015
The following graphic shows patterns of the percent enrollment change by Texas school district during the period 2011-12 to 2015-16 school year. The percent change intervals/colors as depicted in legend panel at left of map window. Create custom maps similar to this view for your regions of interest. Examine alternative patterns such as percent change for different time periods, enrollment change or enrollment level. Set queries to include school district by peer group. Click graphic for larger view with more detail; expand browser window for best quality view.

View developed with CV XE GIS software using the Texas school districts GIS project.

The following views (click link) show a zoom-in with districts labeled with name and 2015-16 enrollment .. install the software and GIS project on your Windows computer for alternative and more detailed views.
Dallas Metro Region
Houston Metro Region
San Antonio-Austin Metro Region

School Districts by Locale Code
The following view shows patterns of school districts by locale code. Examine districts based locale code in the interactive table below. See more about locale code below in this section.

View developed with CV XE GIS software using the Texas school districts project.

Additional School District Demographic-Economic Data
Use the following interactive tables to view attributes of individual school districts in context of others. These are national scope tables; select only Texas (or other state) using tools below table on respective pages. Compare Texas (or other state) school districts by national scope peer group size.
General Demographics
Social Characteristics
Economic Characteristics
Housing Characteristics
More about data analytics and analyzing the school district community.

Enrollment by Texas Local Education Agency: 2011-12 – 2015-16
— Interactive Table
The following graphic illustrates use of the interactive table. This view shows districts having 2015-16 enrollment 50,000 or more ranked in descending order on the enrollment percent change from the 2011-12 school year to the 2015-16 school year. See the full interactive table to perform similar operations. Click graphic for larger view.

See about other demographic-economic interactive tables.

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.

Mapping Statistical Data

.. GIS tools & data resources that you can use for statistical mapping & visual data analysis … Geographic Information Systems (GIS) provide flexible and powerful capabilities to combine maps with data. In our increasingly data rich environment, we often experience “drowning in data.” GIS tools can help harness disparate and voluminous data and assist with data linkage. This section provides links to other sections that provide information on no cost GIS software and “production” GIS projects and datasets that you can use.

Patterns of Per Capita Personal Income Change 2008-14 by County
— relative to U.S. PCPI 2008-14 change
To illustrate, the following graphic shows patterns of per capita personal income change 2008 to 2014 by county relative to the U.S. See more information. Click graphic for larger view with legend and additional details. Make variations of this map view using resources described in this section. Optionally integrate your own data.

— view created using CV XE GIS and associated REIS GIS Project

GIS provides us with a way to improve collaboration; we can more easily comprehend and understand geographic relationships and patterns among “variables” and statistical data. As we reduce tabular data to visual representations, we are better able to communicate “what the data are telling us” among stakeholders and teams/committees. This second dimension, learning what the data are telling us, provides the power of creating insights for more effective decision-making.

Mapping Statistical Data Topics
Most applications presented in this section involve use of Windows-based desktop GIS software. The software and GIS project files and datasets are installed on your computer. These resources are available for use by members of the User Group at no fee.  Click a link below to view additional details about a topic of interest.  There you find a description of the scope and use of the data/geography, steps to access and use the GIS projects/datasets and getting started tutorials.
World by Country
U.S. by State
U.S. by Congressional District
U.S. by Metropolitan Area
U.S. by County
U.S. by City/Place
U.S. by ZIP Code Area
State by Census Tract (each/all states)
State by Block Group
State by Census Block
K-12 Schools & School District Data Analytics

Applications make use of a range of statistical data from the Federal Statistical System, and other sources, integrated with shapefiles from the Census Bureau TIGER/Line shapefiles, OpenStreetMaps, and other sources.

Join me in a Data Analytics Lab session to discuss accessing, integrating and using these resources … and linking these data/geography with other data that relate to your situation.

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.

K-12 Data Analytics: Dallas ISD, Texas

.. using tools and data analytics methods for analysis of K-12 schools located in Dallas ISD school district, Texas .. use the interactive table in related section to examine demographic-economic characteristics of Dallas County by block group. Apply these tools and methods to your schools, school districts and related areas of interest. Contact me for details. Tools and methods described here can help leadership, staff and stakeholders answer key questions and facilitate strategic planning. See the related main Web section for more details and tools access.

Examining the Current Situation
While most schools and school districts know a lot about the students, often less is known about children’s living environment and the broader school district community. See the demographic-economic profile for Dallas ISD total population (compare to Dallas city). These profiles tell a story. It helps stakeholders know “where we are now.”

Use the annually updated School District Special Tabulation that provides similar data but for the grade relevant school age population by type of enrollment universe. See Dallas ISD Children’s Demographic-Economic Profile by Universe of Enrollment.

Dallas ISD School District in Context
Dallas ISD (bold brown boundary) shown in regional context.

  — view created using CV XE GIS and associated GIS Project

School Locations in Context
Zoom-in to Dallas ISD. Pointer at county boundary; Dallas ISD is located in Dallas County. Schools are shown by different types of markers. See markers/style in legend at left. Using the query feature, it is possible to identify charter schools as one type of marker, irrespective of grade range.

Use the national scope interactive tables to examine characteristics of individual public schools and individual private schools. Rank, query, compare and contrast schools within a state or on a national basis.


  — view created using CV XE GIS and associated GIS Project

Zoom-in View of Schools; School Characteristics
Further zoom-in shows schools labeled with name.  The identify tool is used to show a mini-profile of a school by clicking on the Edna Rowe school marker.
The partial view of the profile shows free and reduced lunch participation and enrollment by grade.

  — view created using CV XE GIS and associated GIS Project

School Attendance Zones
Elementary school attendance (black boundaries) are shown in the next graphic. Dallas ISD has three types of attendance zones (elementary, middle, high school). The query feature is used to show only elementary zones. Click graphic for larger view showing more detail.

  — view created using CV XE GIS and associated GIS Project

Cities/Places & School District
Cities/places are shown in the next graphic (cross-hatch pattern) in context with the school district. Places are non-incorporated areas of population concentration. Click graphic for larger view showing more detail; adjacent city/places shown with yellow diagonal cross-hatch pattern.


  — view created using CV XE GIS and associated GIS Project

Road Infrastructure
Roads/streets are added to the view as shown in the next graphic. Vital to student transportation planning and management, the street density view also helps view the scope of build-out. Click graphic for larger view showing more detail; mini-profile shows attributes of street segment by school/pointer.

  — view created using CV XE GIS and associated GIS Project

Schools in Context of Urban/Rural Geography
Census blocks are categorized as urban or rural based on Census 2010. The graphic below shows urban census blocks with an orange fill pattern. It is easy see that most of Dallas ISD is urban; but a large area in the southeast part of the district is rural. See related K-12 Schools by Urban/Rural Status
.

  — view created using CV XE GIS and associated GIS Project

Percent Population in Poverty by Census Tract
Census tracts are statistically defined geographic areas covering the U.S. wall-to-wall (73,057 areas). The view below shows patterns of percent population in poverty by census tract. Click on graphic to view larger view. Choose from hundreds of demographic-economic measures to assess patterns of well-being, age distribution, housing structure and age, educational attainment, housing value, race/origin, employment, language spoken at home among many others.

  — view created using CV XE GIS and associated GIS Project

See zoom-in view of Edna Rowe school vicinity with tract and %poverty labels

Patterns of Economic Prosperity by Block Group
Block groups are statistically defined geographic areas covering the U.S. wall-to-wall (217,740 areas) and nest within census tracts (see above). Block groups (BGs) provide a finer geographic granularity compared to census tracts. The view below shows patterns of economic prosperity as measured by the median household income (MHI). MHI interval/color patterns are shown in the highlighted layer at left of the map. Click on graphic to view larger version that uses the MHI as a label for each BG. Choose from hundreds of demographic-economic measures to assess patterns of well-being. This view illustrates use of transparency setting to “see through” the pattern layer to view the topology/road infrastructure.


  — view created using CV XE GIS and associated GIS Project

Dallas County Block Group Demographic-Economic Characteristics
Use the interactive table to view, rank compare Dallas County block group demographic-economic characteristics. See about Dallas County demographic trends. All block groups for the county are included in the table. Optionally key in an address using the location-based demographics tool to determine the block group code of interest. You can then use the Find button below the table to locate that block group. See about using block group codes — a 12 character code uniquely identifying that area.

Block Groups in Vicinity of School — Interactive Table
The graphic below illustrates use is the Dallas County block group interactive table. Block groups in census tract “48113012206” are shown in the table. This tract was selected as it contains the Edna Rowe school (location used above in maps). The school’s address was used in the location-based lookup tool. Do this for any school or address in Dallas County. It is easy to see that the Gini Index is low indicating high degree of income equality. It is easy to see and compare the number and type of housing units, median income, housing values, and rent. Try this process yourself:
1 – enter an address using this tool to obtain a census tract code see this example.
2 – below the interactive table click ShowAll button, enter your 11 character tract code, click Find.
All block groups in this tract will show as rows in the table.

Data Analytics Lab Session
Join me in a Data Analytics Lab session. There is no fee. Discuss how tools and methods reviewed in this section can be applied to your situation.

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.