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PhiladelphiaOne number, traced

Keystone Algebra I proficiencyFIRST PHILADELPHIA CHARTER, 2021-22

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

Identifiers

school code 3364 · metric key keystone_algebra_proficiency · year 2021-22 · subgroup ECON_DISADV · population cut n/a

  1. 1
    What you seeKeystone Algebra I proficiency

    3.2%

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

    vs. peers
    8th percentile
    vs. citywide
    23th 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 256 default-included schools with a value for this metric, year, and subgroup, this school has a higher value than 57 and ties 1. Midrank rule: (57 + 1/2) / (256 − 1) = 0.225.Stored: 0.225. ✓ 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-High / lottery / charter schools; 13 of 13 peers have a value this year. This school is above 1 of them. Midrank: (1 + 0/2) / (14 − 1) = 0.077; stored 0.077. ✓ matches

    The peers and their values (13)

    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
    3.2
    denominator
    null (not published)
    suppressed
    false
    citywide_percentile
    0.2255
    comparison_group_percentile
    0.0769
    source_load_id
    8709f04a-70da-4969-8d69-7d01a830daea

    Evidence: data model overview

  4. 4
    The load that wrote itWritten on 2026-09-08 by futurereadypa_performance.ts
    source id
    futurereadypa_performance_2021-22
    SHA-256 of the file read
    4efe1b1b120f327f19f9541636a4d5f97592b0ac6f28662d0496875c09c09387
    bytes
    4,821,070
    year covered
    2021-22
    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, 2021-22

    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 cut3.6%
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 cut3.7%
2021-22Hispanic studentsno population cut2.3%
2021-22White studentsno population cut5.1%
2021-22Students of two or more racesno population cut2.6%
2021-22Economically disadvantaged studentsno population cut3.2%
2021-22English learnersno population cut0.0%
2021-22Students in special educationno population cut1.6%
2021-22Black, Hispanic, and multi-racial students combinedno population cut
2022-23All studentsno population cut6.4%
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 cut4.1%
2022-23Hispanic studentsno population cut7.1%
2022-23White studentsno population cut14.1%
2022-23Students of two or more racesno population cut7.2%
2022-23Economically disadvantaged studentsno population cut5.9%
2022-23English learnersno population cut4.8%
2022-23Students in special educationno population cut80.0%
2022-23Black, Hispanic, and multi-racial students combinedno population cut5.5%
2023-24All studentsno population cut6.3%
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 cut4.7%
2023-24Hispanic studentsno population cut7.6%
2023-24White studentsno population cut5.1%
2023-24Students of two or more racesno population cut6.2%
2023-24Economically disadvantaged studentsno population cut5.6%
2023-24English learnersno population cut8.5%
2023-24Students in special educationno population cut2.5%
2023-24Black, Hispanic, and multi-racial students combinedno population cut6.0%
2024-25All studentsno population cut6.8%
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 cut5.6%
2024-25Hispanic studentsno population cut8.1%
2024-25White studentsno population cut7.1%
2024-25Students of two or more racesno population cut4.9%
2024-25Economically disadvantaged studentsno population cut5.9%
2024-25English learnersno population cut10.8%
2024-25Students in special educationno population cut2.3%
2024-25Black, Hispanic, and multi-racial students combinedno population cut6.4%