PhiladelphiaMethodologyMethodology recipe
Philly PSSA: 2023-24 vs 2024-25 year-over-year — which schools moved most
A reproducibility log: the data this analysis touched, the queries it ran, and how a third party would re-run it.
Summary
With 2023-24 and 2024-25 SDP PSSA both in DB, compute per-school year-over-year deltas on each metric × subgroup.
Data sources
- Database tablephilly_school_year_metrics
Long-format facts. PK (school_ulcs, year, metric_key, subgroup, population_cut). Carries comparison_group_percentile + citywide_percentile (direction-adjusted).
- External datasetSDP PSSA & Keystone (OpenDataPhilly CDN)
Steps
Self-join PSSA metrics across the two years.
SELECT a.school_ulcs, a.metric_key, a.subgroup::text, b.value - a.value AS delta FROM philly_school_year_metrics a JOIN philly_school_year_metrics b ON b.school_ulcs = a.school_ulcs AND b.metric_key = a.metric_key AND b.subgroup = a.subgroup AND b.population_cut = a.population_cut WHERE a.year='2023-24' AND b.year='2024-25' AND a.metric_key LIKE 'pssa_%' AND a.subgroup='ALL' AND a.population_cut='acct';
Caveats
Single-year deltas are noisy at the school level; NYC's pattern says this is more useful as a watch list than a ranking. Need 3+ years of data to identify trend vs noise.
Reproduce
Both years of SDP PSSA loaded. Query above.
The recipe lives at data/cities/philly/stories/recipes.ts in the repo.