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PhiladelphiaOne number, traced

Keystone Algebra I proficiencyFOX CHASE SCHOOL, 2023-24

The share of students scoring proficient or advanced on the Keystone Algebra I end-of-course exam. This figure is for students in special education.

Identifiers

school code 8260 · metric key keystone_algebra_proficiency · year 2023-24 · subgroup IEP · population cut n/a

  1. 1
    What you seeKeystone Algebra I proficiency

    17.9%

    the share of students scoring proficient or advanced on the Keystone Algebra I end-of-course exam.

    vs. peers
    79th percentile
    vs. citywide
    90th 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 264 default-included schools with a value for this metric, year, and subgroup, this school has a higher value than 236 and ties 2. Midrank rule: (236 + 2/2) / (264 − 1) = 0.901.Stored: 0.901. ✓ matches

    How percentiles are computed · How peer groups are chosen

    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 Algebra I proficiency

  3. 3
    The stored cellThe stored cell
    table
    philly_school_year_metrics
    value
    17.9
    denominator
    null (not published)
    suppressed
    false
    citywide_percentile
    0.9011
    comparison_group_percentile
    0.7917
    source_load_id
    2fdcb9ea-d4af-4a48-a7cf-a8e6166696b3

    Evidence: data model overview

  4. 4
    The load that wrote itWritten on 2026-09-08 by futurereadypa_performance.ts
    source id
    futurereadypa_performance_2023-24
    SHA-256 of the file read
    89219f7a7ffbc6adc14f54e87f2872ab04ce12a9e0749c448cf54998e4930e90
    bytes
    4,861,549
    year covered
    2023-24
    code commit
    c19ea6ec845c65bcc40eb49644be1c7e67b05f25

    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 fileFuture Ready PA Index datafile, 2023-24

    Pennsylvania Department of Education (Future Ready PA Index). Same structure as the 2024-25 file.

    format
    XLSX (wide)
    join key
    AUN + Schl → ULCS
    • Same as 2024-25.
  6. 6
    How it was checkedChecks: 1 passed, 1 flagged
    • passedBase case (district file, 2024-25): 54 of 54 unsuppressed cells match
    • flaggedCross-publisher sanity check (state vs district)

    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 (district file, 2024-25) · Cross-publisher sanity check (state vs district)

  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).
    • Served from both the district's file (district-run schools) and the state's file (all schools); check the load record on a cell to see which.

    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 cut27.4%
2021-22American Indian / Alaska Native studentsno population cutwithheld
2021-22Asian studentsno population cut52.4%
2021-22Native Hawaiian / Pacific Islander studentsno population cutwithheld
2021-22Black studentsno population cut22.9%
2021-22Hispanic studentsno population cut18.4%
2021-22White studentsno population cut26.1%
2021-22Students of two or more racesno population cut34.8%
2021-22Economically disadvantaged studentsno population cut24.6%
2021-22English learnersno population cut17.2%
2021-22Students in special educationno population cut13.5%
2021-22Black, Hispanic, and multi-racial students combinedno population cut
2022-23All studentsno population cut38.0%
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 cut32.6%
2022-23Hispanic studentsno population cut31.6%
2022-23White studentsno population cut41.0%
2022-23Students of two or more racesno population cutwithheld
2022-23Economically disadvantaged studentsno population cut36.9%
2022-23English learnersno population cut26.5%
2022-23Students in special educationno population cut20.9%
2022-23Black, Hispanic, and multi-racial students combinedno population cut34.0%
2023-24All studentsno population cut38.2%
2023-24American Indian / Alaska Native studentsno population cutwithheld
2023-24Asian studentsno population cut57.1%
2023-24Native Hawaiian / Pacific Islander studentsno population cutwithheld
2023-24Black studentsno population cut32.1%
2023-24Hispanic studentsno population cut28.3%
2023-24White studentsno population cut49.4%
2023-24Students of two or more racesno population cutwithheld
2023-24Economically disadvantaged studentsno population cut35.0%
2023-24English learnersno population cut37.0%
2023-24Students in special educationno population cut17.9%
2023-24Black, Hispanic, and multi-racial students combinedno population cut28.3%
2024-25All studentsno population cut42.6%
2024-25American Indian / Alaska Native studentsno population cutwithheld
2024-25Asian studentsno population cut56.3%
2024-25Native Hawaiian / Pacific Islander studentsno population cutwithheld
2024-25Black studentsno population cut36.2%
2024-25Hispanic studentsno population cut33.3%
2024-25White studentsno population cut51.3%
2024-25Students of two or more racesno population cutwithheld
2024-25Economically disadvantaged studentsno population cut37.1%
2024-25English learnersno population cut46.3%
2024-25Students in special educationno population cut31.6%
2024-25Black, Hispanic, and multi-racial students combinedno population cut34.5%