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Split-Family Count Model

Use this page to look more closely at one part of the transportation plan and the choices still ahead.

Split-Family Count Model


Summary

Under the approved configuration (Option A: primary PreK-1 / intermediate 2-4, passed 4-2 on March 30, 2026), an estimated 139-169 families (18-24% of all elementary families) will have children in two different buildings simultaneously. The alternatives considered by the board — Option B — are included for comparison. Under Option B, it would have been zero — every family’s children would have attended the same building.

This is the single most impactful metric for daily family logistics and has not been quantified by the district.

Methodology

Approach

The approved configuration splits grade bands across buildings — primary (PreK-1) and intermediate (2-4). Families with children on both sides of the grade boundary must send children to two different schools. We estimate the number of affected families using:

  1. Enrollment by grade (2025-26 data from school-geography trove)
  2. Sibling co-enrollment rates from Census Bureau SIPP surveys and NCES household composition research
  3. Grade boundary probability — the likelihood that a multi-child family spans the specific grade boundary in a given year

Key Assumptions

ParameterValueSource
Multi-child family rate30-40% (midpoint 35%)Census Bureau SIPP; NCES Condition of Education
Avg children per multi-child family2.3National elementary household data
Sibling grade-gap distributionApproximately uniform across 1-5 yearsSimplifying assumption
Total K-4 enrollment1,013 studentsschool-geography trove
Total with PreK1,071 studentsschool-geography trove
Estimated total families~705-771 (mid ~736)Derived from enrollment and sibling rates

Grade Boundary Split Probability

For a family with two children in elementary school, the probability that one child is on each side of a grade boundary depends on where the boundary falls within the grade span:

The approved configuration’s boundary falls closer to the middle of the grade span, maximizing the number of families affected.

Results

Configuration Comparison

MetricApproved (Option A)Option B (considered)
Grade bandsPreK-1 / 2-4K-4 (unified)
Boundary split probability0.600.00
Split families (range)139-1690
As % of all families18-24%0%
Students on “lower” side449
Students on “upper” side622

What This Means in Practice

Approved configuration (Option A): On any given school morning starting fall 2026, roughly one in five elementary families will need to get children to two different buildings with potentially different start times. For a single-parent household or a family with one car, this means two drop-offs, two pick-ups, and mismatched schedules — every day for the years their children span the grade boundary.

Option B (considered but not selected): Zero families would have faced this issue. Every child would have attended the same K-4 building as their siblings. This was the structural advantage of not splitting grade bands across buildings.

Sensitivity Analysis

The estimates are most sensitive to the multi-child family rate. If South Portland’s rate differs from national averages:

Multi-child rateApproved config split families
25% (low)~115
30%~139
35% (midpoint)~155
40%~169
45% (high)~181

Even at the low end of the range (25% multi-child rate), the approved configuration still creates over 100 split families.

Sources of Error

This model could be wrong in the following ways:

  1. Multi-child family rate is a national estimate. Maine trends slightly toward smaller families. If South Portland’s actual multi-child rate is 25% instead of 30-40%, the split count drops by roughly 15%. If it is higher (as it could be in a relatively affordable coastal city), the count rises.

  2. PreK inclusion inflates the lower-side count. PreK is optional and not all PreK families will continue. Excluding PreK families would reduce the approved configuration’s lower-side count from 449 to approximately 390, modestly reducing the split estimate.

  3. No family-level data exists in this model. We estimate aggregate counts using demographic rates, not individual family records. Any individual family’s situation may differ from the statistical expectation.

  4. Opt-out behavior is unmodeled. Some families facing split logistics may choose private school, homeschooling, or voluntary transfers. This would reduce the count but represents a different kind of harm — families leaving the system.

What would fix it: The district has family-level enrollment data. A query counting families with children spanning the relevant grade boundary would replace this entire model with an exact number.

Data Sources

Invitation to Improve

The district has family-level enrollment data that would replace these estimates with exact counts. If the district provides the number of families with children spanning relevant grade boundaries, these estimates can be refined or replaced. The methodology and assumptions are fully transparent so that any correction can be applied directly.

Community members with access to local demographic data (e.g., South Portland school registration records, PTA membership rolls) could also validate whether the 30-40% multi-child rate is reasonable for this community.