← All proof trees · GLORIA CASAREZ ELEMENTARY SCHOOL

1. 1
   What you seePSSA ELA proficiency (all tested grades)

   14.3%

   the share of tested students in grades 3–8 scoring proficient or advanced on the PSSA English language arts test. Based on 98 students.

   vs. peers

   20th percentile

   vs. citywide

   21th percentile

   unit

   percent

   direction

   higher is better

2. 2
   How it was computedvalue = published '% proficient or advanced' (accountability cohort by default)

   1. Unzip the district's PSSA/Keystone archive and read the accountability-cohort ('Acct') and all-tested ('Actual') school CSVs.
   2. Keep rows for the test, subject, grade, and subgroup this metric represents.
   3. Store the published '% proficient or advanced' as the value and the published number tested as the denominator; suppressed cells (asterisks/blanks) are stored as suppressed, not zero.
   4. Store the accountability-cohort cut as the default (population_cut = 'acct') and the all-tested cut alongside it ('actual').

   Citywide percentile, reconstructed right now

   Among 169 default-included schools with a value for this metric, year, and subgroup, this school has a higher value than 34 and ties 2. Midrank rule: (34 + 2/2) / (169 − 1) = 0.208.Stored: 0.208. ✓ matches

   How percentiles are computed · How peer groups are chosen

   Peer percentile, reconstructed right now

   Peer group: up to 40 of the demographically nearest schools among Elementary / catchment / district schools; 38 of 40 peers have a value this year. This school is above 7 and ties 1 of them. Midrank: (7 + 1/2) / (39 − 1) = 0.197; stored 0.197. ✓ matches

   The peers and their values (38)

   Peer school	Value
   A.S. JENKS ACADEMICS PLUS SCH	69.8%
   SAMUEL POWEL SCHOOL	64.6%
   ANNE FRANK SCHOOL	53.5%
   FOX CHASE SCHOOL	48.4%
   HACKETT SCHOOL	42.9%
   WATSON COMLY SCHOOL	42.5%
   RICHMOND SCHOOL	36.8%
   JOHN MOFFET SCHOOL	35.0%
   J. HAMPTON MOORE SCHOOL	33.8%
   RHAWNHURST SCHOOL	32.9%
   KENNEDY C. CROSSAN SCHOOL	32.4%
   STEPHEN GIRARD SCHOOL	30.9%
   HENRY W. LAWTON SCHOOL	27.9%
   FRANCIS SCOTT KEY SCHOOL	26.1%
   JOSEPH PENNELL ELEMENTARY	25.7%
   JOHN B. KELLY SCHOOL	25.6%
   HOWE ACADEMICS PLUS SCHOOL	25.6%
   JOHN H. WEBSTER SCHOOL	25.0%
   JAMES LOGAN SCHOOL	24.5%
   EDWIN FORREST SCHOOL	22.4%
   JOSEPH W. CATHARINE SCHOOL	22.2%
   JAMES R. LOWELL SCHOOL	21.1%
   ELLWOOD SCHOOL	20.6%
   SOLOMON SOLIS-COHEN SCHOOL	20.0%
   CAYUGA SCHOOL	17.6%
   FELTONVILLE INTERMEDIATE	17.4%
   THOMAS G. MORTON SCHOOL	17.3%
   FRANCES E. WILLARD SCHOOL	15.5%
   JOHN M. PATTERSON SCHOOL	15.4%
   WILLIAM CRAMP SCHOOL	15.3%
   JOHN MARSHALL SCHOOL	14.3%
   LAURA H. CARNELL SCHOOL	14.1%
   ROWEN SCHOOL	13.7%
   JAMES J. SULLIVAN SCHOOL	12.0%
   BAYARD TAYLOR SCHOOL	10.4%
   RICHARD WRIGHT SCHOOL	10.1%
   ALEXANDER MCCLURE SCHOOL	8.1%
   LEWIS ELKIN SCHOOL	7.6%

   Note: stored percentiles are computed by a batch script after loads; a difference from the live reconstruction means a newer load changed the comparison set and the batch has not been re-run.

   Evidence: metric tree: PSSA ELA proficiency (all tested grades)

3. 3
   The stored cellThe stored cell

   table

   philly_school_year_metrics

   value

   14.29

   denominator

   98

   suppressed

   false

   citywide_percentile

   0.2083

   comparison_group_percentile

   0.1974

   source_load_id

   96e07ea5-c26b-4f50-acf8-e159bd17d2e0

   Evidence: data model overview

4. 4
   The load that wrote itWritten on 2026-06-04 by sdp_pssa_keystone_2023-24.ts

   source id

   sdp_pssa_keystone_2023-24

   file URL

   https://cdn.philasd.org/offices/performance/Open_Data/School_Performance/PSSA_Keystone/2023_2024_PSSA_Keystone_All_Data.zip

   SHA-256 of the file read

   d89570e75caa9d30bd32f41de7a654b1df298e1a27a8bf6538f6dc4a6cfa9261Copy hash

   bytes

   802,929

   year covered

   2023-24

   code commit

   de835926d57d5e04d34ef3f4666df5b66fa57672

   To confirm you have the same file: download it from the URL above, then run shasum -a 256 <downloaded file> Copy command — the output should equal the hash above. If the publisher has since replaced the file, the hashes will differ, which is itself useful to know.

   Evidence: loader script · first-fetch findings for this file · source registry

5. 5
   The publisher's filePSSA & Keystone results, 2023-24

   School District of Philadelphia (Performance Office). Same structure as the 2024-25 file, one year earlier.

   format

   ZIP of CSVs

   join key

   id_eos (= ULCS Code)

   landing page

   https://opendataphilly.org/datasets/sdp-pssa-keystone-performance/

   • Same as the 2024-25 file.
6. 6
   How it was checkedChecks: 2 passed, 2 flagged

   • ✓ passedBase case: served cells vs an independent re-read of the ingested file
   • ✓ passedCompleteness: every source cell is served
   • ⚠ flaggedAccountability-cohort vs all-tested files are byte-identical after sorting in SDP's 2024-25 archive — a publisher defect, so this check cannot distinguish the two populations
   • ⚠ flaggedCross-publisher sanity check vs the state's Keystone results

   Checked at ±1: 0 mismatches, 0 cells served but absent from the file, 0 in the file but not served (ALL, acct, latest year).

   Evidence: Base case · Completeness · Accountability-cohort vs all-tested files are byte-identical after sorting in SDP's 2024-25 archive — a publisher defect, so this check cannot distinguish the two populations · Cross-publisher sanity check vs the state's Keystone results

7. 7
   Assumptions & caveatsAssumptions and caveats

   • The accountability cohort (students enrolled for the full year) is the intended canonical population. However, the two files SDP publishes for 2024-25 ('Acct' and 'Actual') are identical once sorted — 28,525 rows with no differing value or denominator — so the served 'acct' and 'actual' cuts carry the same numbers. We treat this as a publisher defect (one file published under two names) and cannot say which population the numbers describe.

   • District-run and alternative schools only from this file; charter schools' Keystone results come from the state's Future Ready file.

   Algorithms involved: Citywide and peer-group percentiles, Peer groups: 40 nearest neighbors on demographics