School District Social Characteristics Data Analytics
-- 2017 Households, Families, Ancestry, Education, Language, more ...
November 2018. In 2017, the U.S. percent college graduates was 32.0 percent (of the population ages 25 and over) while states ranged from 3.8% (Harlandale ISD, TX) to 88.4% (Palo Alto USD, CA) among the largest 1,042 school districts. See item/column S067 in the interactive table below to view, rank, compare, analyze states based on this measure for 2017 ... in context of related social characteristics. These data uniquely provide insights into many of the most important social characteristics.
Visual Analysis of 1,042 Largest School Districts
The following map shows markers/locations of the 1,042 largest school districts based on 2017 population. Create variations of this view using the "US1.GIS" GIS project installed by default with all versions of the CV XE GIS software.
- view developed with CV XE GIS software .. click graphic for larger view.
This section is focused on tools, resources and methods that you can use to access, integrate and analyze social characteristics for the 1,042 school districts (of total 13,300 school districts -- see more below) with 2017 population 65,000 or more population. These districts include 32,127,429 of the school age population (ages 5-17) in 2017, or 59.7% of the U.S. total school age population (53,853,524). In terms of school age population as a percent of total population, these districts range from 4.5% (Sumter County School District, FL) to 28.7% (Lakewood Township School District, NJ). These data will update with 2018 estimates in September 2019.
Go to interactive table below in this section.
How to view/rank/compare enrollment and other FAQs below in this section.
Approximately 600 subject matter items from the American Community Survey ACS 2017 database (released September 2018) are included in these four pages/tables:
Social Characteristics -- this section
Using the Interactive Table
Use the interactive table below to view, query, rank, compare social characteristics of the population for these areas. The scroll box shown below lists each of the subject matter items available for each area via the ranking table. In the subject matter items scrollbox, subject matter items are organized into to mini-tables with related items. The number at the left of the subject matter item is also used as the short name for the subject matter item in the column header in the ranking table.
Social Characteristics Items
.. a few item names and numbers changed from previous year data/table.
School District 2017 Social Characteristics .. interactive table .. goto top
Districts initially sorted on state by name; click any column header cell to sort on that column/attribute.
Example: click S003 header cell twice to sort on
"Families with own children of householder under 18 years" in descending order.
Click ShowAll button between Find/Queries. Use mouseover on column header to view column description.
See usage notes below table. See related interactive tables.
If table not showing any rows; click ShowAll button below table.
Use vertical and horizontal scroll bars to navigate up/down or left/right.
Adjust column widths using column divider between header cells.
Find CBSA> button -- use to select CBSA/Metro based on exact CBSA 5 character code in column 3.
.. CBSA/metro codes may be found in the table at http://proximityone.com/metros.htm#table.
.. after entering the code click the Find CBSA> button ... table refreshes with all districts in this CBSA.
.. example .. clicking 1) the ShowAll button, then 2) the Find CBSA button with default 26420 value.
shows the 22 districts of this size in the Houston metro
that can now be further examined as this specific set of districts.
Find Name> button -- use to select district based on exact spelling of partial name in column 1.
.. Key in exact up/low case spelling of partial name of district in the edit box to right of Find Name> button.
.. click the Find Name> button ... table refreshes with all districts with matched spelling in column 1.
Selected columns -- "AvgHHSize.AvgFamSize.%HSGrad.%CollGrad" below the table to show only these columns;
.. click "All columns" button to restore view to all columns.
All items are estimates for 2017.
Click ShowAll button between specific area queries.
Cells with negative value could not be estimated (for this geography and this time frame).
Use find codes/names to determine census tract, city/place, school district etc. geocode/area name based on address.
About these Demographic-Economic Data
These 1,042 districts include elementary, secondary and unified school districts. Some of these district overlap the same geographic area. There are 961 districts that cover unduplicated geography. The total school age population (32,127,429) is based on the sum of the population for these 961 districts.
Data used in this section are estimates developed from the American Community Survey (ACS). These data differ from administratively reported data (enrollment, etc.).
This section is based on data from the ACS 2017 1-year estimates. These estimates are developed for areas (school districts and otherwise) having population of 65,000 or more. It happens that there are 1,042 school districts of this size.
Data are for the total resident population in the district. Data are not shown separately for charter schools as charter schools have no defined boundaries. If a charter school located in district X has students from district Y, attributes of those students and households are shown in data for district Y.
In December 2018, the ACS 2017 5 year estimates become available. The 5-year estimates are centric to 2015 whereas data used here are for 2017. Similar tables as shown in these sections can be developed that include all school districts using the ACS 5 year estimates.
The importance of understanding the demographic-economic make-up and trends can hardly be overstated. Community and educational challenges and opportunities are shaped by demographic-economic dynamics. Only by knowing "where we are" can we develop the most effective plans for improvement.
The American Community Survey provides "richer" demographic-economic characteristics for national scope wide-ranging geographic areas. While Census 2010 provides data similar to those items in the General Demographics section, only ACS sourced data provide details on topics such as income and poverty, labor force and employment, housing value and costs, educational participation and attainment, language spoken at home, among many related items. The approximate 600 items accessible via the dataset are supplemented by a wide range of additional subject matter. These data are updated annually in December of each year for each/all political/statistical areas, including census tracts, ZIP code areas and block groups..
FAQS & Related Notes .. goto top
How to view/rank/compare largest districts based on total population
Use the General Demographics section/table.
Click the D001 (total population) table header cell.
.. the table refreshes sorted on D001 in one direction; click again to sort in other direction.
How to view/rank/compare enrollment
Use the Social Characteristics section/table.
Click the button School Enrollment below the table.
.. the table refreshes with the school enrollment columns.
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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.
ProximityOne develops geodemographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact us (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.