Eight years of graduation outcomes for student cohorts from 2012 to 2019, covering classes graduating between 2016 and 2023. The dataset reports graduation metrics as calculated by the New York State Education Department for New York City public schools. It includes counts and percentages for various diploma types, dropouts, and students still enrolled.
Use Cases
- Analyze the relationship between Cohort Year and % Dropout to model graduation trends over time.
- Compare % Advanced Regents of Cohort across different Geographic Subdivisions to assess regional disparities in academic achievement.
- Predict # Grads using features like # Total Cohort, % Still Enrolled, and % Local of Cohort with regression models.
- Cluster School Name entities based on profiles of % Total Regents of Grads, % SACC (IEP Diploma) of Cohort, and # TASC (GED) to identify school performance groups.
Strengths
- Covers 8 consecutive cohort years from 2012 to 2019, enabling longitudinal analysis.
- Includes over 25 distinct metrics per cohort, such as # Advanced Regents and % Regents without Advanced of Grads, for detailed breakdowns.
Limitations
- Unknown total row count prevents assessment of statistical power and granularity.
- Data is limited to New York City, limiting generalizability to other regions.
- The most recent cohort data is from the class of 2023, which may not reflect post-pandemic conditions.
Provenance
- Source
- New York State Education Department, published via data.cityofnewyork.us.
- Collection Method
- Calculated from administrative records of students who first entered 9th grade in a given school year.
- Time Range
- Cohort years 2012 to 2019 (Classes graduating 2016 to 2023).
- Freshness
- Last updated in November 2024, but the underlying data covers cohorts through 2019.
- Geography
- New York City, subdivided by Geographic Subdivision and School Name.