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PhiladelphiaOne number, traced

PVAAS growth — Science/BiologyMAYFAIR SCHOOL, 2023-24

The state's PVAAS growth index for science/biology. This figure is for students in special education.

Identifiers

school code 8300 · metric key pvaas_growth_science_biology · year 2023-24 · subgroup IEP · population cut n/a

  1. 1
    What you seePVAAS growth — Science/Biology

    71.00

    the state's PVAAS growth index for science/biology.

    vs. peers
    50th percentile
    vs. citywide
    27th percentile
    unit
    index (publisher's scale)
    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 100 default-included schools with a value for this metric, year, and subgroup, this school has a higher value than 24 and ties 5. Midrank rule: (24 + 5/2) / (100 − 1) = 0.268.Stored: 0.268. ✓ 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-Middle / catchment / district schools; 9 of 40 peers have a value this year. This school is above 4 and ties 1 of them. Midrank: (4 + 1/2) / (10 − 1) = 0.500; stored 0.500. ✓ matches

    The peers and their values (9)

    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: PVAAS growth — Science/Biology

  3. 3
    The stored cellThe stored cell
    table
    philly_school_year_metrics
    value
    71
    denominator
    null (not published)
    suppressed
    false
    citywide_percentile
    0.2677
    comparison_group_percentile
    0.5000
    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: 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.

    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 cut100.00
2021-22American Indian / Alaska Native studentsno population cutwithheld
2021-22Asian studentsno population cut100.00
2021-22Native Hawaiian / Pacific Islander studentsno population cutwithheld
2021-22Black studentsno population cut72.00
2021-22Hispanic studentsno population cut73.00
2021-22White studentsno population cut76.00
2021-22Students of two or more racesno population cutwithheld
2021-22Economically disadvantaged studentsno population cut100.00
2021-22English learnersno population cut100.00
2021-22Students in special educationno population cut92.00
2021-22Black, Hispanic, and multi-racial students combinedno population cut
2022-23All studentsno population cut76.50
2022-23American Indian / Alaska Native studentsno population cutwithheld
2022-23Asian studentsno population cut77.50
2022-23Native Hawaiian / Pacific Islander studentsno population cutwithheld
2022-23Black studentsno population cut76.00
2022-23Hispanic studentsno population cut71.00
2022-23White studentsno population cut79.00
2022-23Students of two or more racesno population cutwithheld
2022-23Economically disadvantaged studentsno population cut72.00
2022-23English learnersno population cut75.50
2022-23Students in special educationno population cut77.00
2022-23Black, Hispanic, and multi-racial students combinedno population cut71.00
2023-24All studentsno population cut58.50
2023-24American Indian / Alaska Native studentsno population cutwithheld
2023-24Asian studentsno population cut72.50
2023-24Native Hawaiian / Pacific Islander studentsno population cutwithheld
2023-24Black studentsno population cut69.50
2023-24Hispanic studentsno population cut67.00
2023-24White studentsno population cut65.50
2023-24Students of two or more racesno population cutwithheld
2023-24Economically disadvantaged studentsno population cut58.50
2023-24English learnersno population cut67.00
2023-24Students in special educationno population cut71.00
2023-24Black, Hispanic, and multi-racial students combinedno population cut62.50
2024-25All studentsno population cutwithheld
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 cutwithheld
2024-25Hispanic studentsno population cutwithheld
2024-25White studentsno population cutwithheld
2024-25Students of two or more racesno population cutwithheld
2024-25Economically disadvantaged studentsno population cutwithheld
2024-25English learnersno population cutwithheld
2024-25Students in special educationno population cutwithheld
2024-25Black, Hispanic, and multi-racial students combinedno population cutwithheld