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Visual analysis with ProximityOne tools
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visually analyze clients/markets
site analysis using 1 mile radius

S1

$median household income
patterns by census tract - Houston

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113th Congressional Districts

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US Asian Indian population 2010

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geocoded students and school
McKinney ISD, TX

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geocoded students and school
with tax parcels & streets

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high school attendance zones
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%high school graduates by
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Austin, TX MSA counties &
places 10K+ population markers

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Appalachia counties (green) &
coalfield counties (orange)

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China provinces percent urban &
cities (markers) by state plan

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Honolulu census tracts (red)
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Central Park area NYC

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Kansas City Metro & Counties
Home Depot locations (markers)

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World Cities; focus on Spain

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School Attendance Zones & Demographic Analysis

The approximate 100,000 K-12 school attendance zones are defined by individual school districts based on the respective state guidelines. The demographic-economic composition, and trends, of individual school attendance zones are of great interest to those including individual homeowners and residents, businesses making location decisions, neighborhood associations, school districts themselves, as well as various government operations at Federal, state and local levels. This section provides a description of resources available to support School Attendance Zone (SAZ) analysis and interactive access to part of the SAZ geographic-demographic-economic data available. Use the interactive table in this section to view, compare, rank SAZs based on demographic attributes provided for each SAZ. See more about these data (below, in this section).

Philadelphia Elementary School Attendance Zones
  -- patterns of median household income

See additional maps below table in this section and related details.

School Attendance Zone General Demographics -- Interactive Table
  Click column header to sort; click again to sort other direction.
  This table shows only general demographics (age, gender, race/origin); additional richer demographics also available.
  See usage notes below table. See related Ranking Tables Main Page


Usage Notes
  • All other items are estimates centric to mid-2008 (ACS 2006-10 5 year estimates).
  • Filter on School Level.
      - Click ShowAll button first.
      - Choose School Level (SchLev) in dropdown below table.
      - Filters on column 7 for the selected school level.
  • Use FindInName to find a school by name.
      - Click ShowAll button first.
      - Key in any part of name and click FindInName button.
      - Search will filter for any name (column 2) with that exact, case sensitive, spelling.
      - Houston is used as an example; many schools with the name Houston are located.
  • Use FindDistrictID to find all schools in a school district.
      - Click ShowAll button first.
      - Key in exact 7-character Federal school district code and click FindDistrictID button.
      - Search will filter for any school with that district ID (column 5).
      - 4814280 (Clear Creek ISD TX) is used as an example.
      - See school district interactive table to find the school district code.
      - Selected district codes
California
  Los Angeles, CA: 0622710
Kansas
  Wichita USD, KS: 2012990
Maryland
  Montgomery County Schools, MD: 2400480
New York
  Rochester, NY: 3624750
Texas
  McKinney ISD TX: 4829850
Virginia
  Alexandria Schools, VA: 5100120
  Fairfax County Schools, VA: 5101260

  • Selected columns buttons
      - Click Set1 button shows selected descriptor items, total population, median age and total housing units.
  • Click ShowAll button between specific queries.
  • Cells with -1 value indicate this value was not estimated (for this geography and this time frame).

General Demographics Items
This scroll section describes items shown in the above table. Most items in the table are presented as a percent of total population.
AGE AND GENDER
  D001     Total population
  D002 Male
  D003 Female
  D004 Under 5 years
  D005 5 to 9 years
  D006 10 to 14 years
  D007 15 to 19 years
  D008 20 to 24 years
  D009 25 to 34 years
  D010 35 to 44 years
  D011 45 to 54 years
  D012 55 to 59 years
  D013 60 to 64 years
  D014 65 to 74 years
  D015 75 to 84 years
  D016 85 years and over
  D017 Median age (years)
  D018 18 years and over
  D019 21 years and over
  D020 62 years and over
  D021 65 years and over
  D022     18 years and over
  D023 Male
  D024 Female
  D025     65 years and over
  D026 Male
  D027 Female
RACE
  D028     Total population
  D029 One race
  D030 Two or more races
  D031 One race
  D032     White
  D033     Black or African American
  D034     American Indian and Alaska Native
  D035         Cherokee tribal grouping
  D036         Chippewa tribal grouping
  D037         Navajo tribal grouping
  D038         Sioux tribal grouping
  D039     Asian
  D040         Asian Indian
  D041         Chinese
  D042         Filipino
  D043         Japanese
  D044         Korean
  D045         Vietnamese
  D046         Other Asian
  D047     Native Hawaiian and Other Pacific Islander
  D048         Native Hawaiian
  D049         Guamanian or Chamorro
  D050         Samoan
  D051         Other Pacific Islander
  D052     Some other race
  D053 Two or more races
  D054     White and Black or African American
  D055     White and American Indian and Alaska Native
  D056     White and Asian
  D057     Black or African American and American Indian and Alaska Native
    Race alone or in combination with one or more other races
  D058     Total population
  D059 White
  D060 Black or African American
  D061 American Indian and Alaska Native
  D062 Asian
  D063 Native Hawaiian and Other Pacific Islander
  D064 Some other race
HISPANIC OR LATINO AND RACE
  D065     Total population
  D066 Hispanic or Latino (of any race)
  D067     Mexican
  D068     Puerto Rican
  D069     Cuban
  D070     Other Hispanic or Latino
  D071 Not Hispanic or Latino
  D072     White alone
  D073     Black or African American alone
  D074     American Indian and Alaska Native alone
  D075     Asian alone
  D076     Native Hawaiian and Other Pacific Islander alone
  D077     Some other race alone
  D078     Two or more races
  D079         Two races including Some other race
  D080         Two races excluding Some other race, and Three or more races
  D081     Total housing units

Using SAZ Boundary Files & Related Geodemographics
The following views illustrate use of the SAZ boundary files with related geography and associated demographics. The CV XE GIS software is used to develop these views and corresponding GIS project fileset are available to ProximityOne User Group members (join, no fee). These applications illustrate how point location and geographic area attributes, multi-sourced data, can be integrated and geospatially analyzed.

Montgomery County Public Schools MD Area School Attendance Zones
Part of the Washington, DC metro, the school district boundary is shown by the pointer.
A query has been placed on the SAZ layer so that only elementary SAZ boundaries are shown.


By clicking on the school marker layer, schools are shown by blue markers.
A query has been placed on the schools layer so that only elementary schools are shown.


The next view shows a zoom-in to the area shown by the pointer in the above graphic.
One SAZ label (yellow) shows the SAZ name. A second SAZ label (white) shows the total population.
The demographic label could be any of hundreds of subject matter items available. The Kemp Mill school marker is clicked showing a profile for the school (partial view)


Characteristics of SAZ Demographics in Adjacent Districts
The next graphic shows SAZ boundaries for Alief ISD, TX and adjacent Houston, TX area school districts. This view illustrates that the same types of school/SAZ analyses in Maryland can be applied elsewhere in the nation due to the use of standardized approaches to the geography and demographics. A peer group of SAZs might be comprised of SAZs with common attributes but in different school districts -- nearby or far away. These resources enable school district leadership, analysts and stakeholders to better understand SAZ demographic attributes.

SAZ Demographics
The interactive table on this page (above) shows only the "General Demographics" subject matter items. Richer demographic-economic data are also available. The scope of SAZ subject matter is similar to that provided now in school district tables and profiles:
  • General Demographics -- http://proximityone.com/sd11dp1.htm
  • Social Characteristics -- http://proximityone.com/sd11dp2.htm
  • Economic Characteristics -- http://proximityone.com/sd11dp3.htm
  • Housing Characteristics -- http://proximityone.com/sd11dp4.htm

About the Data & Usage
School attendance zones are part of an important collection of small area geographies useful to understand demographic-economic patterns, characteristics and trends. Related geographies include census blocks, census block groups, census tracts, ZIP code areas and school districts.

A School Attendance Zone (SAZ) is a geographic area served by an individual K-12 school. The SAZ geographic and demographic-economic data are used by schools, school districts, researchers, policy makers and other stakeholders to examine relationships between areas served by schools and related geographic areas (e.g., city/county). Wide-ranging decision-making is made possible by visually examining school catchment areas with related geography and demographic-economic measures. Needs of the school age population can be better analyzed resulting in possible improved educational outcomes. Characteristics of the population served by a school, and its special needs, can be better understood. Awareness of the number of students in areas hit hard by natural disasters could aid relief efforts; the Department of Homeland Security can use this information for planning disaster relief programs in case of a national disaster. These resources can aid school districts in analyzing need and distributing funds/resources to schools within its system.

Support Using these Resources [goto top]
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Join the ProximityOne User Group to keep up-to-date with new developments relating to geographic-demographic-economic decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group.

Additional Information
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.


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