K-12 enrollment forecasting: merging methods and judgment

Area of Science:

• Educational planning
• Demographic analysis
• Community engagement

Background:

• Accurate enrollment forecasting is crucial for effective school district planning.
• Traditional methods may lack cost-efficiency or stakeholder buy-in.
• Oregon school districts face challenges in balancing resources with student population changes.

Purpose of the Study:

• To describe a collaborative enrollment forecasting process.
• To demonstrate the creation of cost-efficient and accurate forecasting data.
• To highlight the benefits for school district decision-making and community relations.

Main Methods:

• Involving technical experts and local community stakeholders in the forecasting process.
• Developing a data collection and analysis strategy focused on accuracy and cost-efficiency.
• Establishing a communication plan to ensure community understanding and support.

Main Results:

• The collaborative process yielded accurate enrollment data.
• The data provided valuable insights for attendance zone and facilities planning.
• A group of key communicators was established to facilitate community understanding.

Conclusions:

• Collaborative enrollment forecasting can be both cost-efficient and accurate.
• This approach enhances school district planning capabilities.
• Engaging the community builds support for district decisions.