Methodology & Data Sources

📊 Elementary & Secondary Public Schools

Ranking method: Schools ranked by EQAO-based composite score (average of percentage at or above provincial standard across reading, writing, and math). Board and city ranks shown contextually when filters are active.

🏫 Private Schools (Elementary & Secondary)

Ranking method: Ranked by accreditation tier. Schools with membership in recognized associations (CIS Ontario, CAHEA, AMI, etc.) are ranked higher. Within the same tier, alphabetical order is used. EQAO scores are not available for private schools.

👶 Licensed Child Care (Daycares)

Ranking method: Ranked by establishment longevity (years since original licence issue date). Longer-operating facilities rank higher as a proxy for stability, regulatory compliance track record, and community trust. Only actively licensed facilities are included; revoked/terminated licences are excluded.

Limitations: Longevity is one proxy for quality, not a direct measure. The dataset does not include parent satisfaction, inspection results, staff-to-child ratios, or fee information. Newer centres may be equally excellent but will rank lower simply due to recency.

🎓 College Rankings (ROI)

Formula:

Why this works: Ontario college tuition is effectively uniform (frozen by the province), so employment rate is the primary ROI differentiator. A college with 94% employment → ROI = $45,000 × 0.94 ÷ $3,500 = 12.1x.

Limitations: Salary estimate is a provincial average, not per-college. Actual graduate earnings vary by program (e.g., skilled trades vs. general arts). Tuition uses the average domestic diploma rate; specific program fees may be higher.

🏛️ University Rankings (ROI)

Formula:

Why 2-year instead of 6-month? The 6-month rate penalizes universities whose graduates pursue graduate studies, professional school, or extended job searches. The 2-year rate better captures long-term employment outcomes and gives a fairer comparison.

Why institution-specific salary? Using a flat provincial average ($64K) would make tuition the sole differentiator, unfairly ranking low-tuition institutions highest regardless of graduate earning potential. Program-mix-adjusted estimates better reflect that engineering/CS-heavy universities (Waterloo, UofT) produce higher-earning graduates.

Limitations: Salary estimates are modelled, not directly measured per-institution. Actual individual outcomes vary significantly by program, GPA, co-op participation, location, and field. Tuition reflects average domestic undergraduate rates; professional and international programs cost more.

🎯 Extracurricular Institutions

Categories covered: Music, Dance, Martial Arts, Tutoring, Art, STEM, Swimming, Sports, Recreation, and Online. The dataset includes 1,000+ institutions across Ontario, including multi-location franchises (Kumon, YMCA, Oxford Learning, Gracie Barra, etc.), municipal recreation programs, online learning platforms, and independent institutions — spanning 50+ cities and neighbourhoods.

Ranking formula — Bayesian Average:

Where: v = number of reviews, m = threshold (25th percentile of review counts), R = institution's rating, C = average rating across the group. This is the same approach used by IMDB, Amazon, and Steam.

Why Bayesian?

• A simple average rating would let a single 5-star review outrank established institutions with thousands of reviews
• The Bayesian average pulls institutions with few reviews toward the group mean, preventing unreliable extremes
• As review count grows, the score converges to the true rating — rewarding both quality and community trust

Category-normalized ranking: Each institution receives a Bayesian score computed within its own category (using the category's specific threshold and mean rating). This ensures a #1 Music school is ranked against other music schools, not against martial arts dojos with different review patterns. The overall Ontario rank uses a global Bayesian score across all categories.

City ranking: Institutions are also ranked within their city using city-specific Bayesian parameters, providing local context when filtering by city.

Limitations: Unlike school and daycare data, extracurricular institution data is not sourced from a single government open-data catalogue. Ratings and review counts are approximate and may not reflect the most current state. The dataset is curated and may not include every institution in Ontario. New or small institutions with few reviews may rank lower regardless of quality. This ranking is one perspective and should not be the sole factor in choosing an enrichment programme.

⚖️ Transparency & Limitations

• All government data is sourced from the Ontario Data Catalogue under the Open Government Licence — Ontario.
• Derived metrics (ROI ratios, composite scores, salary estimates) are clearly labelled and documented above.
• No proprietary data is used. All sources are publicly accessible and verifiable.
• Rankings are one perspective. They should not be the sole factor in education decisions. Consider program fit, location, campus culture, support services, financial aid, and personal goals.
• Date of data: School data from 2023–24 EQAO cycle. College KPIs from 2022–23 reporting year. University data from 2020 graduate cohort (latest available in OUGS).

📝 How to Cite

Ontario Education Rankings. (2024). Rankings methodology and data sources. Retrieved from this page. Data sourced from Ontario Data Catalogue, Statistics Canada, and institutional websites under publicly available licences.