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School district comparison tool

Compare school districts side-by-side on test scores, graduation rate, AP/IB participation, and per-pupil spending.

Score 57.3
Score 68.8
Score 62.7

Ranked comparison

Why families move for schools β€” and how to make sure it is worth it

Parents move for schools. The research confirms it is a rational decision: school quality is one of the most consistent drivers of residential sorting in the United States, and the academic outcomes associated with better-resourced, better-performing districts are real. The problem is that most families compare districts using whichever aggregator (GreatSchools, Niche, Zillow school ratings) their real estate agent sends. These ratings lean heavily on standardized test score averages, which correlate more strongly with median household income in the district than with actual teaching quality or instructional program strength. A family that picks a high-median-income district believing they are getting excellent teaching may be paying a premium primarily for a neighborhood with high-earning neighbors whose children would test well anywhere.

A better comparison pulls 5–6 independent signals that each measure something different about district performance: proficiency rates, graduation rates, AP/IB participation, student-teacher ratios, per-pupil spending, and the home price premium associated with the district. This tool builds a composite score from those signals.

The five data points and what each actually measures

Each metric captures something real but incomplete. The composite score weights them together to produce a more reliable signal than any single metric alone.

  • Proficiency rate (% of students at or above grade level): from state Department of Education assessments, reported by district on state DOE websites and the NCES Common Core of Data. This is the most direct available measure of whether students at grade level are being taught at grade level. It varies significantly within a state β€” districts in the same metro area routinely show proficiency rates from 40% to 90% on the same state assessment.
  • 4-year graduation rate: from NCES. This is the metric that most parents overlook and researchers weight most heavily. A 4-year graduation rate above 90% means the district retains and supports nearly all students through completion. A district at 75% is losing 1 in 4 students before graduation β€” which indicates significant systemic failure at the secondary level regardless of how strong the test-score averages look for students who do graduate.
  • AP/IB participation rate: from College Board’s AP District Honor Roll data. This is not a measure of how many students score 4 or 5 β€” it is a measure of how many students attempt AP or IB coursework at all, which is a proxy for the peer academic culture and the school’s commitment to offering rigorous coursework to a broad population rather than a small honors track.
  • Student-teacher ratio: from NCES or state DOE. The research sweet spot: 12–17:1 produces the highest achievement gains. Above 22:1 correlates with 0.2–0.3 standard-deviation score declines across subjects. Below 12:1 shows diminishing returns. This metric is especially informative when a district has high per-pupil spending but a high ratio β€” it suggests the budget is not going to instructional staffing.
  • Per-pupil spending: from NCES Common Core of Data, reported annually. The relationship between spending and outcomes is non-linear. Research from CALDER and NBER establishes: below $10,000 per pupil, each additional $1,000 correlates with 0.05–0.1 standard deviations of academic improvement. Above $14,000 per pupil, marginal spending produces small gains. A district spending $16,000 per pupil with a 25:1 student-teacher ratio and 60% proficiency is spending money on administration, facilities, or overhead β€” not instruction. A district spending $12,000 per pupil with a 14:1 ratio and 82% proficiency is spending more efficiently on instruction.

The home price premium β€” calculating whether it is worth it

Zillow data combined with NBER school-quality research consistently shows that each 10-percentile-point increase in district quality (as measured by test scores and graduation rates) adds approximately 10–15% to home values, controlling for other neighborhood characteristics. A top-10% district vs. a median district typically commands a 75–90% home price premium in the same metro area.

The financial calculation is straightforward: if the premium school district adds $150,000 to your home purchase price at a 7% 30-year mortgage, the monthly cost of that premium is approximately $998/month above what the same house would cost in the median district. Over 12 school-years (K–12), that is roughly $143,000 in additional mortgage interest and principal. Compare this to the alternative: the difference in 4-year college costs between a student who attends a stronger high school and qualifies for more merit aid vs. a weaker one, or the difference in college readiness and scholarship outcomes.

The premium is worth paying when: you can afford it without exceeding 30% housing-cost-to-income ratio, the district’s metrics are genuinely stronger (not just more affluent), and you plan to stay for multiple school-years (moving costs and transaction costs eliminate the return on 1–2 year stays). The premium is not worth paying when it pushes your DTI above 40% β€” financial stress in the household reliably counteracts the benefit of the school environment.

How the composite score is calculated

The tool weights the five inputs as follows: proficiency rate 30% (highest weight β€” most direct instructional quality signal), graduation rate 20%, AP/IB participation 20%, student-teacher ratio 20% (inverted β€” lower ratio scores higher), per-pupil spending 10% (moderate weight because of its non-linear relationship with outcomes).

An illustrative example: District A has a 75% proficiency rate, 95% graduation rate, 50% AP participation, 14:1 student-teacher ratio, and $17,000 per-pupil spending. District B has 50% proficiency, 82% graduation, 20% AP participation, 22:1 ratio, and $11,000 per-pupil. The composite favors District A significantly β€” and District A would be the better educational environment for most students regardless of which district has higher-priced homes.

What the composite score does not capture

The composite is a quantitative shortlisting tool β€” it narrows the field based on measurable data. It does not replace in-person investigation of:

  • Special education quality: highly variable within districts. A district with 85% overall proficiency may have a weak SpEd program. Parents of children with IEPs or 504 plans need to speak directly with the director of special services and ask for specific case-manager staffing ratios and service delivery data.
  • Elementary vs. secondary split: many districts have genuinely strong elementary schools and mediocre high schools, or vice versa. District-level averages hide this. Pull school-level data from the state DOE, not district-level aggregates, if you have children at different grade levels.
  • Extracurricular depth: music, arts, athletics, and academic competition programs vary enormously within districts of similar academic performance. A district with 85% proficiency may have cut arts programs entirely. A district at 75% may have an exceptional robotics program and regional-champion debate team.
  • Cultural and demographic fit: not measurable quantitatively but real. Families from specific cultural backgrounds, religious communities, or with children who have particular social needs may find that numerical district performance does not predict whether the environment works for their specific child.
  • Superintendent and principal stability: strong school improvement is almost always associated with stable, effective leadership over 4+ years. High principal turnover predicts declining performance even in otherwise strong districts. Ask how long the current principal and superintendent have been in their roles.

Where to find real district data

The most reliable sources for the metrics you need:

  • NCES Common Core of Data (nces.ed.gov/ccd): per-pupil spending, enrollment, student-teacher ratios, graduation rates. Updated annually. Free and comprehensive.
  • Your state DOE website: proficiency rates from state assessments, school report cards, and accountability ratings. Each state publishes this differently β€” search β€œ[state name] school report card” to find the portal.
  • College Board AP Program Results: AP participation rates and scores by district. Published annually on College Board’s website as the AP District Honor Roll and Annual Report.
  • Stanford Education Data Archive (SEDA): research-grade district-level academic achievement data for every U.S. district, standardized for comparability across states. Available free at edopportunity.org.

Avoid using GreatSchools or Niche ratings as primary data β€” both fold in parent reviews and demographic proxies that conflate wealth with quality. They are useful for browsing but not for rigorous comparison.

Step-by-step: how to compare two districts before a move

  1. Pull NCES data for both districts. Find per-pupil spending, student-teacher ratio, and enrollment at nces.ed.gov/ccd. Note the year of the data β€” some entries lag 1–2 years.
  2. Find state assessment proficiency rates. Search your state DOE’s school report card portal. Look for Grade 3–8 ELA and Math proficiency rates at the district level, not just the state summary.
  3. Check 4-year graduation rates. Available on NCES and most state DOE portals. If a district does not publish graduation rates, ask the district administration directly β€” non-disclosure of this metric is a red flag.
  4. Enter the data into the comparison tool. The composite score normalizes each metric against your input ranges and produces a side-by-side comparison with the weighted composite.
  5. Visit schools in person. Attend a school board meeting. Read the district’s strategic plan (published on most district websites). Talk to 3–5 parents with children currently enrolled. The quantitative comparison shortlists; the in-person visit decides.

FAQ: School district comparison questions

Is a private school in a mediocre district better than a public school in a strong district?

On average, private school students do not significantly outperform public school students from equivalent socioeconomic backgrounds when controlling for selection effects. The perception that private schools outperform public schools is largely a reflection of demographic composition, not instructional quality. A strong public district (top-30% composite) is typically a better educational environment and a significantly better financial decision than paying $15,000–$30,000 per year in private school tuition while living in a mediocre public district.

Should I consider charter schools in my comparison?

Charter school quality varies more widely than traditional public school quality β€” the same state has the best and worst performing schools in the charter sector. Evaluate specific charter schools by the same metrics (proficiency, graduation rate, student-teacher ratio) rather than assuming the charter label implies quality. CREDO research at Stanford shows that on average, charter schools produce similar outcomes to traditional public schools, with significant variance in both directions.

How do I compare districts across different states?

State assessment scales are not comparable across states β€” a 70% proficiency in Massachusetts means something different than 70% in Mississippi because the assessments and cut scores are different. Use the Stanford SEDA data for cross-state comparison β€” it standardizes achievement on a common scale across all 50 states, making genuine cross-state district comparison possible for the first time.

Related tools

For college-level cost comparison once your student is enrolled, see college cost compare. For the AP vs IB vs Dual Enrollment decision once in high school, see AP vs IB vs DE recommender. For building college savings starting from K-12, see 529 plan growth calculator.

Note: The composite score is a simplified quantitative weighting β€” real district quality is multi-dimensional and context-dependent. Visit schools in person, talk to current families, and check school-level (not just district-level) data before making relocation decisions based on district comparison alone.

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