The district requests the following analyses and deliverables as part of the study. Data should be provided at the census tract level where possible, as this geographic scale aligns more closely with school boundaries than zip codes. When feasible, data should also be presented at the school boundary level and include both table and visual formats. 1. Geographic and Data Considerations ● Provide data at the census tract level (preferred), with explanation if limitations exist. ● Census blocks are understood to be too granular but may be considered where efficient. ● Include school boundary overlays when possible. ● Incorporate homeschooling data where available to capture the full picture of student populations. 2. Historical and Comparative Data ● Year-over-year comparisons across a 20-year timeframe (or longest feasible period). ● Birth data by census tract, extending as far back as available. 3. Housing Market Data ● Existing home sales: ○ By census tract ○ By school boundary (included in each school’s profile) ○ By buyer age (census tract and tabular view) ○ By seller age (census tract and school profile) ● New home purchases: ○ By buyer age (census tract and school profile) ● Housing ratios: ○ Student-to-existing-home ratio ○ Student-to-new-home ratio ○ Student-to-apartment ratio ● Pricing comparisons: ○ Average home price per year compared to student enrollment (identify trends) ○ Average rental price per year compared to student enrollment ● Economic factors: ○ Analysis of interest rate trends and their impact on home purchasing patterns. 4. Enrollment, Capacity, and Utilization ● Provide current and projected student enrollment by census tract and school boundary. ● Analyze building capacity and utilization across all school sites to identify under- or over-utilization. 5. Modeling, Projections, and Business Intelligence ● Clearly present fact-based findings without value judgments. ● Provide projection models that account for external factors such as: ○ Open transfer laws ○ Tax credit incentives for school choice ● Incorporate business intelligence tools or visualizations that allow the district to interact with and better understand the data. ● Include an opportunity for district dialogue to ensure understanding of projections and assumptions.
