← All proof trees · GEORGE WASHINGTON HIGH SCHOOL

PhiladelphiaOne number, traced

Keystone Literature proficiencyGEORGE WASHINGTON HIGH SCHOOL, 2023-24

The share of students scoring proficient or advanced on the Keystone Literature exam. This figure is for male students. Population: all tested students.

Identifiers

school code 8030 · metric key keystone_literature_proficiency · year 2023-24 · subgroup MALE · population cut actual

  1. 1
    What you seeKeystone Literature proficiency

    42.5%

    the share of students scoring proficient or advanced on the Keystone Literature exam. Based on 167 students.

    vs. peers
    89th percentile
    vs. citywide
    51th percentile
    unit
    percent
    direction
    higher is better
  2. 2
    How it was computedvalue = the state's published percentage for the school × subgroup, as-is
    1. Read the state's wide-format datafile: one row per Pennsylvania school, one column per measure × subgroup (e.g. PercentPersistentAttendance_Black).
    2. Keep Philadelphia rows by mapping the state's AUN + Schl codes to the district's ULCS code through the Master School List.
    3. Unpivot each recognized measure × subgroup column into one served cell; state suppression codes ('IS', '--', '*') are stored as suppressed.

    Citywide percentile, reconstructed right now

    Among 46 default-included schools with a value for this metric, year, and subgroup, this school has a higher value than 23. Midrank rule: (23 + 0/2) / (46 − 1) = 0.511.Stored: 0.511. ✓ 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 High / catchment / district schools; 18 of 20 peers have a value this year. This school is above 16 of them. Midrank: (16 + 0/2) / (19 − 1) = 0.889; stored 0.889. ✓ matches

    The peers and their values (18)

    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: Keystone Literature proficiency

  3. 3
    The stored cellThe stored cell
    table
    philly_school_year_metrics
    value
    42.51
    denominator
    167
    suppressed
    false
    citywide_percentile
    0.5111
    comparison_group_percentile
    0.8889
    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
    SHA-256 of the file read
    d89570e75caa9d30bd32f41de7a654b1df298e1a27a8bf6538f6dc4a6cfa9261
    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> — 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)
    • Same as the 2024-25 file.
  6. 6
    How it was checkedChecks: 0 passed, 1 not run
    • not runBase case against the state file not yet run for this metric (the loader is shared with keystone_algebra_proficiency, whose SDP-side base case passed)
  7. 7
    Assumptions & caveatsAssumptions and caveats
    • The state's AUN + Schl → ULCS mapping from the 2024-25 Master School List is correct. State rows for schools not in that directory — district schools that closed before 2024-25 — are not loaded, so every year of state data is a survivor-only panel; cyber charters have their own AUNs and are outside the district's directory.
    • Where two directory schools share a state code (a school and its Continuation Academy), the state's single row belongs to the main school (deterministic rule; the full absenteeism QA lists every shared code).
    • The state publishes no student counts for most measures, so served cells carry no denominator.
    • Served from both the district's and the state's files; check the cell's load record.

    Algorithms involved: Reading the state's wide-format datafile, Citywide and peer-group percentiles, Peer groups: 40 nearest neighbors on demographics

The same metric for this school, every year and cut

YearSubgroupCutValue
2021-22All studentsno population cut29.0%
2021-22American Indian / Alaska Native studentsno population cutwithheld
2021-22Asian studentsno population cut46.3%
2021-22Native Hawaiian / Pacific Islander studentsno population cutwithheld
2021-22Black studentsno population cut19.5%
2021-22Hispanic studentsno population cut25.0%
2021-22White studentsno population cut32.2%
2021-22Students of two or more racesno population cut26.7%
2021-22Economically disadvantaged studentsno population cut27.7%
2021-22English learnersno population cut18.8%
2021-22Students in special educationno population cut18.2%
2021-22Black, Hispanic, and multi-racial students combinedno population cut
2022-23All studentsno population cut31.4%
2022-23American Indian / Alaska Native studentsno population cutwithheld
2022-23Asian studentsno population cut35.7%
2022-23Native Hawaiian / Pacific Islander studentsno population cutwithheld
2022-23Black studentsno population cut21.7%
2022-23Hispanic studentsno population cut31.8%
2022-23White studentsno population cut35.2%
2022-23Students of two or more racesno population cut47.4%
2022-23Economically disadvantaged studentsno population cut30.4%
2022-23English learnersno population cut19.8%
2022-23Students in special educationno population cut22.2%
2022-23Black, Hispanic, and multi-racial students combinedno population cut27.5%
2023-24All studentsaccountability cohort (students enrolled the full year)45.2%
2023-24All studentsall tested students45.2%
2023-24All studentsno population cut39.5%
2023-24American Indian / Alaska Native studentsno population cutwithheld
2023-24Asian studentsno population cut49.3%
2023-24Native Hawaiian / Pacific Islander studentsno population cutwithheld
2023-24Black studentsno population cut33.0%
2023-24Hispanic studentsno population cut40.9%
2023-24White studentsno population cut41.2%
2023-24Students of two or more racesno population cut31.8%
2023-24Economically disadvantaged studentsno population cut39.1%
2023-24English learnersno population cut23.4%
2023-24Students in special educationno population cut20.3%
2023-24Female studentsaccountability cohort (students enrolled the full year)48.8%
2023-24Female studentsall tested students48.8%
2023-24Male studentsaccountability cohort (students enrolled the full year)42.5%
2023-24Male studentsall tested students42.5%
2023-24Black, Hispanic, and multi-racial students combinedno population cut35.7%
2024-25All studentsaccountability cohort (students enrolled the full year)41.7%
2024-25All studentsall tested students41.7%
2024-25All studentsno population cut39.1%
2024-25American Indian / Alaska Native studentsno population cutwithheld
2024-25Asian studentsno population cut39.7%
2024-25Native Hawaiian / Pacific Islander studentsno population cutwithheld
2024-25Black studentsno population cut39.5%
2024-25Hispanic studentsno population cut36.2%
2024-25White studentsno population cut42.6%
2024-25Students of two or more racesno population cutwithheld
2024-25Economically disadvantaged studentsno population cut33.5%
2024-25English learnersno population cut22.5%
2024-25Students in special educationno population cut29.1%
2024-25Female studentsaccountability cohort (students enrolled the full year)48.7%
2024-25Female studentsall tested students48.7%
2024-25Male studentsaccountability cohort (students enrolled the full year)36.0%
2024-25Male studentsall tested students36.0%
2024-25Black, Hispanic, and multi-racial students combinedno population cut36.7%