Category Archives: School districts

School District Demographic Trends: 2010-2015

.. data and tools to examine how school districts of interest are changing … based on total population, the largest 10 school districts in 2015, all experienced an increase in total population over the period 2010-2015. Five of these districts had a decrease in school age population (ages 5-17 years). Four of these districts had a decrease in the number of related children in families ages 5-17 years. See characteristics of districts in this interactive table. See the related Web section for more details.

School Districts with 2015 Population 100,000 or More
More than 600 of the total 13,245 school districts have a total 2015 population of 100,000 or more (red markers).

– view developed with CVGIS software and related GIS project.

Using New 2015 Estimates Released December 2016
– for use in 2017 ESEA Title I Allocations
Analyze annual demographic data for each U.S. school district for the period 2010 through 2015. These data include the Federal official 2015 estimates available for all districts. Developed for use as inputs for the ESEA Title I allocation formula, the data have broader uses of interest to school district demographics stakeholders. Use the interactive table in this section to view, rank, compare, query demographic characteristics of districts of interest.

The annual estimates for each school district include:
• total population
• number of children ages 5 to 17
• number of related children ages 5 to 17 in families in poverty

Using Interactive Data Tools
Use the interactive table to view, rank, compare, query ZIP codes based on a selection of demographic measures. The following graphics illustrate how the table can be used. Click graphic for larger view.

Total Population — 10 districts with largest change 2010-15
– ranked descending on rightmost column

– click graphic for larger view.

School Age Population — 10 districts with largest change 2010-15
– ranked descending on rightmost column

– click graphic for larger view.

Related Children Ages 5-17 in Poverty
– 10 districts with largest change 2010-15
– ranked descending on rightmost column

– click graphic for larger view.

Try it yourself. Use the table to examine a set of districts on your selected criteria in for a state/area 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.

Children’s Demographics by School District

.. data and tools to analyze children’s demographics by school district ..  the ACS 2014 median household income for the Houston ISD, TX (HISD) was $46,069 (all households) compared to $41,896 (grade relevant children’s households). How does economic prosperity (or choose from many other attributes) vary between the total population of an area and to those of total children or grade relevant children by type of enrollment in districts of interest? See related Web section with interactive table.

This section summarizes data and tools to access to the children’s demographic-economic data, based on the 2014 American Community Survey (ACS 2014) school district special tabulation (SDST), for each/all school districts. These data provide insights into the population, social, economic and housing characteristics of total children and grade relevant children — in contrast to the total population and housing. Use the interactive table below to view, rank, compare, query children’s characteristics.

Patterns of Economic Prosperity by School District; Children’s Households
— Median Household Income for Grade Relevant Children Households
The following thematic map shows patterns of median household income for grade relevant children households by school district for Texas and adjacent states. Click graphic for larger view (shows metros). Expand browser to full extent for best quality view.

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

Additional Views:
Dallas metro area
Houston metro area
Los Angeles metro area

Importance of these Data
The annually updated SDST data are a unique source of data to help stakeholders understand demographic-economic characteristics of total children as well as grade relevant children. The real power of these data is that they enable analysis of children’s living characteristics by type of enrollment (enrolled in public school, enrolled in private school, not enrolled) by school district. For example, in this Houston ISD, TX profile it can be determined that of those grade relevant children who ‘speak English less than “very well”.
– enrolled in public school
… 36,995 or 18.7% of total grade relevant children enrolled public
– enrolled in private school
… 810 or 3.9% of total grade relevant children enrolled private (very low)
– not enrolled
… 3,265 or 30.9% of total grade relevant children not enrolled (very high)

How does Houston ISD compare to Dallas ISD? … to Los Angeles Unified? … use these data to find out. Whether ability to speak English, or other living/demographic environmental characteristics, these are among the factors that can primarily influence educational outcomes.

Comparing the Number of Households
The total number of households compared to the number of households with grade relevant children is often in the range of 3-to-4 to 1. The following table shows illustrative examples for selected districts.

Scope of the School District Special Tabulation
The School District Special Tabulation is a tabulation of the characteristics of children who reside within the boundaries of a school district. Note that such residents/children might attend a school located outside of the school district of residence. Subject matter items are tabulated for these seven universes:
• all children — population ages 0-19, 18 & 19 not high school graduates
• all school age, grade relevant children
– children enrolled
– children enrolled in public school
– children enrolled in private school
– relevant children not enrolled
See about related data

Children’s Demographics by Type of Enrollment
  — Interactive Table
The following graphic illustrates use of the interactive table to rank districts by total relevant children and views percentage distributions by type of enrollment. Note that among the largest 10 districts, Las Vegas (Clark County, NV) has the largest percent not enrolled (12.x% — far right column). Use the full interactive table to compare contrast district based on your criteria.

– click graphic for larger view.

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.

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.

Tip of the Day – Median Household Income by School District

.. tip of the day .. a continuing weekly or more frequent tip on developing, integrating, accessing and using geographic, demographic, economic and statistical data. Join in .. tip of the day posts are added to the Data Analytics Blog on an irregular basis, normally weekly. Follow the blog to receive updates as they occur. Options and tools for accessing and using median household income by school district are outlined below.

Richmond & Henrico County, VA School Districts
  – patterns of median household income by census tract; an illustration.
  – often drill-down geography, like census tracts, is needed.
  – click graphic for larger view.
.. view developed with ProximityOne CV XE GIS and related GIS project.

Accessing/Using Median Household Income by School District
.. the most recent estimate of median household income for school districts is as of 2014. These data are based on the American Community Survey (ACS2014) 5-year and 1-year estimates. See details about other years and longitudinal data below in this section. The subject matter “median household income” is used here but other wide-ranging subject matter can be accessed/analyzed using options described below.

Number and Type of Schools Districts — ACS 2014 tabulation areas
– 2013-2014 school year; as of January 1, 2014

Geographic Areas 1-year estimates 5-year estimates
population of 65,000+ all areas
School District (Elementary) 74 2,181
School District (Secondary) 88 538
School District (Unified) 842 10,923
Total 1,004 13,012

Option 1. Use the interactive table:
– go to http://proximityone.com/sd14dp3.htm (5-year estimates)
– median household income is item E086.
– scroll left on the table until E086 appears in the header column
– this column shows the data for E086 for all school districts
– see usage notes below table.

Option 2. Use the API operation:
– 5-year estimates for unified school districts in Arizona …
– median houshold income (MHI) is item B19013_001E.
click this link to get B19013_001E (MHI) using the API tool.
.. this API must be used on a state-by-state basis.
.. the state FIPS code must be the last two characters in the URL.
– a new page displays showing a line/row for each school district.
– MHI appears on the left, then school district name and then codes.
– optionally save this file and import the data into a preferred program.
– more about API tools.
– more about using 1-year and 5-year estimates.

Option 3. View the median household income in context of other attributes for a school district.
click this link to select a school district of interest.
– click link to view school district report (request a district).
– when report displays, scroll down in table to the household income section.

See the related section on school district community.

This section is focused on median household income and school districts. Many other subject matter items will be apparent when these methods are used. Optionally adjust above details to view different subject matter for school districts.

Data for Other Years & Longitudinal Data
Annual data for median household income by school district are available from the American Community Survey as summarized below.

ACS Year School Year Boundary as of:
2009 2008-2009 January 1, 2008
2010 2009-2010 January 1, 2010
2011 2009-2010 January 1, 2010
2012 2011-2012 January 1, 2012
2013 2011-2012 January 1, 2012
2014 2013-2014 January 1, 2014

Join me in a Data Analytics Lab session to discuss more details about accessing and using children’s demographics, schools and school districts 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.

Health Insurance Coverage by Census Tract

.. the overall percent civilian non-institutionalized population with health insurance coverage changed from 85.2% in 2012 to 88.3% in 2014. Health insurance coverage is one measure among many others that are important in Healthcare Data Analytics. This section uses healthcare data analytics tools to view/analyze healthcare coverage by census tract and other geographies. See more about using health insurance coverage data in context with other health-related data in this related section.

Percent Civilian Non-institutionalized Population
    with Health Insurance by Census Tract


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

Health Insurance Coverage Data & Interactive Table Access
Health insurance coverage data are one of several types of health-related data available in the 2014 ACS 5-year estimates. At the national level, the overall population with health insurance coverage changed from 85.2% in 2012 to 88.3% in 2014. The upper two intervals shown in the health insurance coverage by census tract map above are for the percent population with health insurance coverage at or above the national 85.2% level in 2012 (census tract data are only available from the 5-year estimates, the ACS 2014 5 year estimates are centric to 2012).

While health insurance coverage data are available in a range of demographic combinations, 25 health insurance coverage items (see table below) are available from the economic characteristics dataset for selected types of geography in these interactive tables:

ACS 2014 1-Year Estimates – data centric to mid-2014
U.S., State, CBSA/Metro
114th Congressional Districts

ACS 2014 5-Year Estimates – data are centric to mid-2012
Census Tracts
ZIP Code Areas
School Districts
State Legislative Districts

Join me in a Data Analytics Lab session to discuss more details about analyzing health and healthcare characteristics and patterns 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.

Local Education Agencies by Type & State

.. the number and structure of school districts by state varies widely. Does this have an impact on educational outcomes and opportunities from state to state? In 1952, Texas had approximately 2,500 school districts (see in related section; today there are 1,027 school districts in Texas (see full table). School districts are now part of a more broadly structured set of Local Education Agencies (LEAs) which include state, regional and independent charter agencies offering elementary/secondary education. This section provides data on the count and type of LEAs by state for the 2014-15 school year.

Use the interactive table to view, rank, compare school districts/LEAs by state by type for the 2014-15 school year. These summary data are based on our processing of individual LEA data provided by individual state education agencies. Additional detail by LEA will be available later in 2016.

2014-15 LEAs by State
States labeled with total LEAs as of the 2014-15 school year. Click graphic for larger, more detailed view. Expand browser window for best quality view.

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

2014-15 Independent Charter Agencies by State
States labeled with Independent Charter Agency (ICA) LEAs as of the 2014-15 school year (3,056). States with no ICAs not labeled. Red markers show locations of all ICAs. Click graphic for larger, more detailed view. Expand browser window for best quality view.

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

Additional views – click to view graphic; expand browser window for best quality view:
Houston area zoom-in showing ICAs with name as label
Houston area zoom-in showing charter schools (green markers)
– black boundary shows Houston ISD school district
– yellow label: total enrollment; white label: total free & reduced lunch fee

Kansas City area zoom-in showing ICAs with name as label
– black boundary shows Kansas City, MO school district
Kansas City area zoom-in showing charter schools (green markers)
– black boundary shows Kansas City, MO school district
– yellow label: total enrollment; white label: total free & reduced lunch fee

Related School District Data
See about related demographic-economic datasets, interactive tables & GIS resources: General Demographics .. Social Characteristics .. Economic Characteristics .. Housing Characteristics

States Ranked by Total LEAs
The following graphic shows states ranked by total LEAs using the interactive table — the 10 states having the largest number of LEAs. Click graphic for larger view.

Join me in a Data Analytics Lab session to discuss more details about analyzing LEA characteristics and pattern 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.