Statistical Forecasting
  • Home
  • About
  • Services
  • Clients
  • Contact
  • More
    • Home
    • About
    • Services
    • Clients
    • Contact
Statistical Forecasting
  • Home
  • About
  • Services
  • Clients
  • Contact

Services

Demographic Studies

A demographic study is not just projecting enrollments for a district. A recently completed study for the Woodbridge Township School District demonstrates the comprehensiveness of our reports.  In this study, we analyzed the following topics:

  • births by attendance area,
  • student yields by housing type (apartment, townhouse, one- to four-family, etc.),
  • district race and poverty trends,
  • comparison of school building capacities to current and projected enrollments, and 
  • housing turnover

           Example of a Graph from a Typical Demographic Study

Feasibility Studies

What is a feasibility study? Sometimes, school districts consider regionalizing to share services and save money, or de-regionalize to become their own K-12 district. In other instances, towns who tuition their students to another district (for example, to a high school) may want to terminate that sending-receiving relationship.  In all of these cases, a feasibility study is required that analyzes the demographic, financial, racial, and educational impacts on such a reorganization.


Statistical Forecasting and its team of experts have conducted many feasibility studies exploring reorganization of school districts. Data studied includes community demographics, enrollment projections, racial balance, existing curricula, and the financial impact on each community.

GIS Mapping

 Statistical Forecasting uses Geographic Information Systems (GIS) software, which is the latest technology to provide a visual medium for analyzing demographic issues. While the use of maps can answer many different questions across a spectrum of disciplines, here are just a few:


  • How should attendance areas be aligned to ensure school capacities are
    being maximized?
  • Which developments have the greatest number of students per housing
    unit (that is, the highest student yield)?
  • Where are the greatest number of children being born?


The slideshow below illustrates a few of the uses of mapping software. 


Maps #1 and #2 show  the locations where students live as well as their zoned elementary  attendance area. However, it is more helpful to aggregate where students  live by some level of geography, such as Census Block or Tract, to show where the greatest number of students live. 


Map #3 illustrates the number of students by Census Block, which is greatest in areas colored dark red.


Map #4 shows the location of each new housing development, which helps to show  the impact of future housing by elementary attendance area and is  critical in developing accurate enrollment projections by school. 


Map #5 shows where the greatest student yields are (number of children per housing  unit). The dark purple Census Blocks have the greatest number of children per housing unit. 


Maps #6 and #7 show the areas in a school district where students would change schools as part of redistricting, as well as the number of affected students. Redistricting analyses are one of our most popular services for our  clients.


As you can see, the number and type of maps that can be created are endless!


Examples of GIS Mapping

Map 1- Student Address Map

Map 2- Student Address Map

Map 3- Enrollments by Census Block

Map 4-New Housing Developments by Attendance Area

Map 4-New Housing Developments by Attendance Area

Map 6- Student Yields by Census Block

Map 6- Student Yields by Census Block

Map 7- Redistricting Map

Map 8- Redistricting Map


Statistical Forecasting

East Dorset, VT 05253

Telephone: (802) 768-8563

Email: info@statforecast.com

Copyright © Statistical Forecasting 2025

  • About
  • Services
  • Clients
  • Contact

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept