Tag Archives: Poverty

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.

Appalachia Region & County Population Trends

.. examining how is the Appalachia population changing and why .. Appalachia is a region that includes parts of 13 states and has long been challenged with poverty. The population of Appalachia increased from 25,184,339 in 2010 to 25,449,932 in 2015. The extended report below, developed using the ProximityOne Regional Data Analytics tool, in combination with GIS tools provide insights into why, how and where the population change has occurred since 2010.

Patterns of Appalachia County Population Trends 2010-2015
Appalachia counties are shown in the following graphic with the black bold boundary. The thematic pattern map shows how counties have gained population (blue and green) and lost population (orange and red) during the period 2010 to 2015. It is easy to see clusters of counties that are increasing or losing population and why. Counties increasing in population are shown by the dominant factor contributing to their growth — net migration or natural change (where births exceed deaths). Counties decreasing in population are shown by the dominant factor contributing to their population loss — net migration or natural change (where deaths exceed births). See more detail and access data via interactive table in the County Trends 2010-2015 section. Click graphic for larger view; expand browser window for best quality view.

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

Summary of Population Change
Appalachia has increased in population since 2010 due to both net migration and natural increase. The analyses show that during the 2010 to 2015 period, the Appalachia population:
• increased by 1,688,832 births
• experienced 1,562,810 deaths
• had a natural increase (births less deaths) of 126,022 population
• increased by 166,990 net international migration
• increased by 53,209 net domestic migration
• had a net migration of 220,199 population

Region & County-by-County Population & Components of Change
The RDA report includes eight tables for each county and a summary for the Appalachia region. Tables displayed when using the “Population Estimates & Components” data include:
• Table 1 – total population
• Table 2 – births
• Table 3 – deaths
• Table 4 – natural change
• Table 5 – international migration
• Table 6 – domestic migration
• Table 7 – net migration
• Table 8 – group quarters population

Appalachia Counties & Region: Population Trends & Components of Change; 2010-2015
Click link below to view report. Data for all Appalachia counties, followed the regional summary, are provided table-by-table in the table sequence shown above.
Appalachia region population & components of change 2010-15

Terms of Use
The above report may be used for any purpose provided that:
1 – it is not used for commercial or consulting purposes.
2 – it is not used in funded research.
3 – all use is referenced as to source with Web URL:
— developed by ProximityOne based in part on Census Bureau data; http://proximityone.com/rda.htm.

Using the RDA Resources
Use the RDA tool to develop reports like the one shown here for counties and regions of interest. Possibly more importantly, these resources can help us examine related topics such as healthcare and education. What are the characteristics and requirements now and how are needs, services and capabilities distributed across a region? How will the population change over the next several years and possibly result in improving – or deteriorating – conditions? Use the RDA demographic insights features and predictive analytics to better assess future change and needs.

Contact ProximityOne (mention RDA in text section or call 888.364.7656) for more information about using the RDA resources or custom reports.

Support Using these Resources
Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour Web sessions. 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.

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 in Poverty by School District

.. in the context of “decision-making information,” this section is about using current estimates of the number of children in poverty by school district for each of the more than 14,000 school districts. This measure/estimate is used as a basis for allocation of Federal funds to school districts under the Elementary and Secondary Education Act., the largest Federal school district funding program. These data have far broader uses, providing insights to economic prosperity among children by school district. See related Web section for more details and use of an interactive table to rank and compare school districts.

Percent School Age Children in Poverty
Phoenix, AZ Area Elementary School Districts


View developed with CV XE GIS software.
Click graphic for larger view with more details; labeled with percent in poverty.

In 2013, 15 percent of all school districts had poverty rates greater than 30 percent for the population of school-age children in families. For the U.S. overall, the number of related children ages 5 to 17 in families in poverty (10,957,266) was 20.4 percent of the total number of children ages 5 to 17 (53,715,325).

As of December 2014, we have new 2013 school district estimates of the total population, number of grade relevant children ages 5 to 17, and number of grade relevant related children ages 5 to 17 in families in poverty. These data are based on Census Bureau estimates developed annually under sponsorship of the U.S. Department of Education.

These data are used as an input to the allocation formula for Title I of the Elementary and Secondary Education Act. The Title I program distributes funding to school districts based on the number and percentage of low-income children. The U.S. Department of Education will use these 2013 estimates to allocate fiscal year 2015 funds for Title I and other programs to states and school districts for use primarily in the 2015-16 school year.

Percent Children in Poverty by School District, 2013
The following graphic shows the grade relevant children in poverty as a percent of total grade relevant children by school district.

View developed with CV XE GIS software. Click graphic for larger view.

The above view shows all school districts (elementary, secondary and unified). In states such as California and Illinois, where two school districts may cover an intersecting area (e.g, an elementary and a secondary) some poverty incidence might be masked. The larger view shows that districts are shown as three layers (ESD, SSD, USD) — each layer uses the same shapefile with a query placed on type of district selected. With all three layers checked, ESDs are shown above SSDs and above USDs. See these additional views (click links to open map views):
Houston Metro; unified districts layer only; districts labeled with percent children in poverty
Arizona & southwest region; unified districts layer only; districts labeled with percent children in poverty
Arizona & southwest region; all district types; unified districts labeled with percent children in poverty

Interactive Table
The following graphic is a view of the interactive table — click here to use interactive table — showing the largest California school districts based on the number of grade relevant school age children. Note the wide-ranging variation in the rightmost column showing the percent of school age children in poverty.

Click graphic for larger view.

Related Data
2013-14 School District Boundary Files (shapefiles)
ACS 2012 School District Demographic-Economic interactive tables
    General Demographics .. Social Characteristics .. Economic Characteristics .. Housing Characteristics
ACS 2012 Children’s Demographics by School District – school district profiles

Support Using these Resources
Learn more about demographic economic data and related analytical tools. Join us in a Decision-Making Information Web session. There is no fee for these one-hour Web sessions. 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.