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PhiladelphiaOne number, traced

Keystone Literature proficiencyCONSTITUTION HIGH SCHOOL, 2024-25

The share of students scoring proficient or advanced on the Keystone Literature exam. This figure is for female students. Population: accountability cohort (students enrolled the full year).

Identifiers

school code 2670 · metric key keystone_literature_proficiency · year 2024-25 · subgroup FEMALE · population cut acct

  1. 1
    What you seeKeystone Literature proficiency

    53.3%

    the share of students scoring proficient or advanced on the Keystone Literature exam. Based on 45 students.

    vs. peers
    71th percentile
    vs. citywide
    57th 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 47 default-included schools with a value for this metric, year, and subgroup, this school has a higher value than 26. Midrank rule: (26 + 0/2) / (47 − 1) = 0.565.Stored: 0.565. ✓ 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 / lottery / district schools; 7 of 11 peers have a value this year. This school is above 5 of them. Midrank: (5 + 0/2) / (8 − 1) = 0.714; stored 0.714. ✓ matches

    The peers and their values (7)

    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
    53.33
    denominator
    45
    suppressed
    false
    citywide_percentile
    0.5652
    comparison_group_percentile
    0.7143
    source_load_id
    bba25088-d2c0-415a-b47e-c47d1dcb2edc

    Evidence: data model overview

  4. 4
    The load that wrote itWritten on 2026-06-03 by sdp_pssa_keystone.ts
    source id
    sdp_pssa_keystone_2024-25
    SHA-256 of the file read
    d040e16c1b88f33dd481efbdb1a3924951ab7cc81869c8dee52458280574c13a
    bytes
    705,262
    year covered
    2024-25
    code commit
    63ddc08c2a63170cecb6e78b991559cef9aa3926

    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, 2024-25

    School District of Philadelphia (Performance Office). State test results by school, test, subject, grade, and subgroup: counts and shares at each performance level, in two population cuts — the accountability cohort (students enrolled for the full year) and all tested students.

    format
    ZIP of CSVs (accountability-cohort and all-tested cuts)
    join key
    id_eos (= ULCS Code)
    • Two cuts of the same results; the accountability cohort is the canonical one served by default.
    • District-run and alternative schools only; charter results come from the state's Future Ready 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 cut35.7%
2021-22American Indian / Alaska Native studentsno population cutwithheld
2021-22Asian studentsno population cutwithheld
2021-22Native Hawaiian / Pacific Islander studentsno population cutwithheld
2021-22Black studentsno population cut38.6%
2021-22Hispanic studentsno population cutwithheld
2021-22White studentsno population cutwithheld
2021-22Students of two or more racesno population cutwithheld
2021-22Economically disadvantaged studentsno population cut35.3%
2021-22English learnersno population cutwithheld
2021-22Students in special educationno population cutwithheld
2021-22Black, Hispanic, and multi-racial students combinedno population cut
2022-23All studentsno population cut66.3%
2022-23American Indian / Alaska Native studentsno population cutwithheld
2022-23Asian studentsno population cutwithheld
2022-23Native Hawaiian / Pacific Islander studentsno population cutwithheld
2022-23Black studentsno population cut69.7%
2022-23Hispanic studentsno population cut76.2%
2022-23White studentsno population cutwithheld
2022-23Students of two or more racesno population cutwithheld
2022-23Economically disadvantaged studentsno population cut68.4%
2022-23English learnersno population cutwithheld
2022-23Students in special educationno population cutwithheld
2022-23Black, Hispanic, and multi-racial students combinedno population cut68.8%
2023-24All studentsaccountability cohort (students enrolled the full year)65.6%
2023-24All studentsall tested students65.6%
2023-24All studentsno population cut65.6%
2023-24American Indian / Alaska Native studentsno population cutwithheld
2023-24Asian studentsno population cutwithheld
2023-24Native Hawaiian / Pacific Islander studentsno population cutwithheld
2023-24Black studentsno population cut61.9%
2023-24Hispanic studentsno population cutwithheld
2023-24White studentsno population cutwithheld
2023-24Students of two or more racesno population cutwithheld
2023-24Economically disadvantaged studentsno population cut67.1%
2023-24English learnersno population cutwithheld
2023-24Students in special educationno population cutwithheld
2023-24Female studentsaccountability cohort (students enrolled the full year)69.0%
2023-24Female studentsall tested students69.0%
2023-24Male studentsaccountability cohort (students enrolled the full year)60.5%
2023-24Male studentsall tested students60.5%
2023-24Black, Hispanic, and multi-racial students combinedno population cut66.3%
2024-25All studentsaccountability cohort (students enrolled the full year)50.6%
2024-25All studentsall tested students50.6%
2024-25All studentsno population cut50.6%
2024-25American Indian / Alaska Native studentsno population cutwithheld
2024-25Asian studentsno population cutwithheld
2024-25Native Hawaiian / Pacific Islander studentsno population cutwithheld
2024-25Black studentsno population cut45.8%
2024-25Hispanic studentsno population cutwithheld
2024-25White studentsno population cutwithheld
2024-25Students of two or more racesno population cutwithheld
2024-25Economically disadvantaged studentsno population cut47.1%
2024-25English learnersno population cutwithheld
2024-25Students in special educationno population cutwithheld
2024-25Female studentsaccountability cohort (students enrolled the full year)53.3%
2024-25Female studentsall tested students53.3%
2024-25Male studentsaccountability cohort (students enrolled the full year)47.4%
2024-25Male studentsall tested students47.4%
2024-25Black, Hispanic, and multi-racial students combinedno population cut46.6%