← All proof trees · ABRAHAM LINCOLN HIGH SCHOOL

PhiladelphiaOne number, traced

Keystone Biology proficiencyABRAHAM LINCOLN HIGH SCHOOL, 2023-24

The share of students scoring proficient or advanced on the Keystone Biology exam. Population: all tested students.

Identifiers

school code 8010 · metric key keystone_biology_proficiency · year 2023-24 · subgroup ALL · population cut actual

  1. 1
    What you seeKeystone Biology proficiency

    18.7%

    the share of students scoring proficient or advanced on the Keystone Biology exam. Based on 363 students.

    vs. peers
    85th 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 54 default-included schools with a value for this metric, year, and subgroup, this school has a higher value than 30. Midrank rule: (30 + 0/2) / (54 − 1) = 0.566.Stored: 0.566. ✓ 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; 20 of 20 peers have a value this year. This school is above 17 of them. Midrank: (17 + 0/2) / (21 − 1) = 0.850; stored 0.850. ✓ matches

    The peers and their values (20)

    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 Biology proficiency

  3. 3
    The stored cellThe stored cell
    table
    philly_school_year_metrics
    value
    18.73
    denominator
    363
    suppressed
    false
    citywide_percentile
    0.5660
    comparison_group_percentile
    0.8500
    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 cut16.7%
2021-22American Indian / Alaska Native studentsno population cutwithheld
2021-22Asian studentsno population cut34.6%
2021-22Native Hawaiian / Pacific Islander studentsno population cutwithheld
2021-22Black studentsno population cut14.9%
2021-22Hispanic studentsno population cut13.3%
2021-22White studentsno population cut20.0%
2021-22Students of two or more racesno population cutwithheld
2021-22Economically disadvantaged studentsno population cut16.4%
2021-22English learnersno population cut15.2%
2021-22Students in special educationno population cut3.5%
2021-22Black, Hispanic, and multi-racial students combinedno population cut
2022-23All studentsno population cut15.0%
2022-23American Indian / Alaska Native studentsno population cutwithheld
2022-23Asian studentsno population cut40.0%
2022-23Native Hawaiian / Pacific Islander studentsno population cutwithheld
2022-23Black studentsno population cut10.1%
2022-23Hispanic studentsno population cut10.9%
2022-23White studentsno population cut17.5%
2022-23Students of two or more racesno population cut25.0%
2022-23Economically disadvantaged studentsno population cut15.8%
2022-23English learnersno population cut6.0%
2022-23Students in special educationno population cut9.3%
2022-23Black, Hispanic, and multi-racial students combinedno population cut11.5%
2023-24All studentsaccountability cohort (students enrolled the full year)18.7%
2023-24All studentsall tested students18.7%
2023-24All studentsno population cut17.1%
2023-24American Indian / Alaska Native studentsno population cutwithheld
2023-24Asian studentsno population cut40.0%
2023-24Native Hawaiian / Pacific Islander studentsno population cutwithheld
2023-24Black studentsno population cut7.9%
2023-24Hispanic studentsno population cut18.4%
2023-24White studentsno population cut11.3%
2023-24Students of two or more racesno population cutwithheld
2023-24Economically disadvantaged studentsno population cut18.2%
2023-24English learnersno population cut13.9%
2023-24Students in special educationno population cut0.0%
2023-24Female studentsaccountability cohort (students enrolled the full year)16.3%
2023-24Female studentsall tested students16.3%
2023-24Male studentsaccountability cohort (students enrolled the full year)20.7%
2023-24Male studentsall tested students20.7%
2023-24Black, Hispanic, and multi-racial students combinedno population cut15.3%
2024-25All studentsaccountability cohort (students enrolled the full year)21.2%
2024-25All studentsall tested students21.2%
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
2024-25Female studentsaccountability cohort (students enrolled the full year)21.5%
2024-25Female studentsall tested students21.5%
2024-25Male studentsaccountability cohort (students enrolled the full year)20.9%
2024-25Male studentsall tested students20.9%
2024-25Black, Hispanic, and multi-racial students combinedno population cutwithheld