← All proof trees · HILL-FREEDMAN WORLD ACADEMY

PhiladelphiaOne number, traced

5-year cohort graduation rateHILL-FREEDMAN WORLD ACADEMY, 2015-16

The five-year cohort graduation rate (district file). This figure is for asian students.

Identifiers

school code 6460 · metric key graduation_rate_5yr · year 2015-16 · subgroup ASIAN · population cut n/a

  1. 1
    What you seeWithheld by the publisher

    The publisher suppressed this cell (too few students to report). The site stores it as suppressed and never as zero.

    vs. peers
    vs. citywide
    unit
    percent
    direction
    higher is better
  2. 2
    How it was computedvalue = published 5-year cohort graduation rate, by cohort entry year
    1. Read the district's graduation CSV and store the 5-year rate by cohort year.

    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: 5-year cohort graduation rate

  3. 3
    The stored cellThe stored cell
    table
    philly_school_year_metrics
    value
    null
    denominator
    2
    suppressed
    true
    citywide_percentile
    null
    comparison_group_percentile
    null
    source_load_id
    8ecdf1ea-7780-4200-bd21-8e8d089c99f1

    Evidence: data model overview

  4. 4
    The load that wrote itWritten on 2026-06-04 by sdp_graduation.ts
    source id
    sdp_graduation_school_2014-2025
    SHA-256 of the file read
    8ae3969118c3a9f01e4d8d04aa634855571ab71e914f3d2b689ad811d5639225
    bytes
    3,919,459
    year covered
    2010-11..2021-22
    year of this cell
    2015-16 — this measure is stored under a different year than the file's report year; see the metric page
    code commit
    f75e33137e8166eec3f8b5a4b39463d306ef710c

    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 fileGraduation rates by cohort, 4/5/6-year

    School District of Philadelphia (Performance Office). Four-, five-, and six-year cohort graduation rates by school and subgroup, indexed by the cohort's 9th-grade entry year.

    format
    CSV
    join key
    ULCS Code
    • Indexed by cohort start year, not graduation year; the state's Future Ready file indexes the same rate by report year.
  6. 6
    How it was checkedChecks: 0 passed, 1 not run
    • not runSame file and loader as graduation_rate_4yr (base case passed); not separately reconciled
  7. 7
    Assumptions & caveatsAssumptions and caveats

    Stored as published; no modeling assumptions.

    • District-run schools only.

    Algorithms involved: Citywide and peer-group percentiles, Peer groups: 40 nearest neighbors on demographics

The same metric for this school, every year and cut

YearSubgroupCutValue
2012-13All studentsno population cutwithheld
2012-13Black studentsno population cutwithheld
2012-13Economically disadvantaged studentsno population cutwithheld
2012-13Not economically disadvantagedno population cutwithheld
2012-13Not English learnersno population cutwithheld
2012-13Students in special educationno population cutwithheld
2012-13Female studentsno population cutwithheld
2012-13Male studentsno population cutwithheld
2013-14All studentsno population cut64.1%
2013-14Asian studentsno population cutwithheld
2013-14Black studentsno population cut63.0%
2013-14Hispanic studentsno population cutwithheld
2013-14White studentsno population cutwithheld
2013-14Economically disadvantaged studentsno population cut57.9%
2013-14Not economically disadvantagedno population cut73.1%
2013-14English learnersno population cutwithheld
2013-14Not English learnersno population cutwithheld
2013-14Students in special educationno population cut38.2%
2013-14Not in special educationno population cut93.3%
2013-14Female studentsno population cut78.1%
2013-14Male studentsno population cut50.0%
2014-15All studentsno population cut85.9%
2014-15Asian studentsno population cutwithheld
2014-15Black studentsno population cut84.6%
2014-15Hispanic studentsno population cutwithheld
2014-15White studentsno population cutwithheld
2014-15Students of two or more racesno population cutwithheld
2014-15Economically disadvantaged studentsno population cut82.5%
2014-15Not economically disadvantagedno population cut91.4%
2014-15English learnersno population cutwithheld
2014-15Not English learnersno population cutwithheld
2014-15Students in special educationno population cut60.7%
2014-15Not in special educationno population cut96.9%
2014-15Female studentsno population cut95.8%
2014-15Male studentsno population cut75.0%
2015-16All studentsno population cut78.1%
2015-16Asian studentsno population cutwithheld
2015-16Black studentsno population cut81.0%
2015-16Hispanic studentsno population cutwithheld
2015-16White studentsno population cutwithheld
2015-16Students of two or more racesno population cutwithheld
2015-16Economically disadvantaged studentsno population cut76.0%
2015-16Not economically disadvantagedno population cut82.0%
2015-16English learnersno population cutwithheld
2015-16Not English learnersno population cutwithheld
2015-16Students in special educationno population cut56.0%
2015-16Not in special educationno population cut95.3%
2015-16Female studentsno population cut87.0%
2015-16Male studentsno population cut72.1%
2016-17All studentsno population cut77.5%
2016-17Asian studentsno population cutwithheld
2016-17Black studentsno population cut80.0%
2016-17Hispanic studentsno population cutwithheld
2016-17White studentsno population cutwithheld
2016-17Students of two or more racesno population cutwithheld
2016-17Economically disadvantaged studentsno population cut74.1%
2016-17Not economically disadvantagedno population cut86.7%
2016-17English learnersno population cutwithheld
2016-17Not English learnersno population cutwithheld
2016-17Students in special educationno population cut46.9%
2016-17Not in special educationno population cut96.4%
2016-17Female studentsno population cut92.6%
2016-17Male studentsno population cut71.0%
2017-18All studentsno population cut78.0%
2017-18Asian studentsno population cutwithheld
2017-18Black studentsno population cut80.9%
2017-18Hispanic studentsno population cutwithheld
2017-18White studentsno population cutwithheld
2017-18Students of two or more racesno population cutwithheld
2017-18Economically disadvantaged studentsno population cut73.4%
2017-18Not economically disadvantagedno population cut86.1%
2017-18English learnersno population cutwithheld
2017-18Not English learnersno population cutwithheld
2017-18Students in special educationno population cut34.4%
2017-18Not in special educationno population cut98.5%
2017-18Female studentsno population cut91.8%
2017-18Male studentsno population cut64.7%
2018-19All studentsno population cut75.9%
2018-19Asian studentsno population cutwithheld
2018-19Black studentsno population cut83.9%
2018-19Hispanic studentsno population cutwithheld
2018-19White studentsno population cutwithheld
2018-19Students of two or more racesno population cutwithheld
2018-19Economically disadvantaged studentsno population cut68.7%
2018-19Not economically disadvantagedno population cut96.5%
2018-19English learnersno population cutwithheld
2018-19Not English learnersno population cutwithheld
2018-19Students in special educationno population cut50.9%
2018-19Not in special educationno population cut98.3%
2018-19Female studentsno population cutwithheld
2018-19Male studentsno population cut67.8%
2018-19Non-binary studentsno population cutwithheld
2019-20All studentsno population cut80.0%
2019-20Asian studentsno population cutwithheld
2019-20Black studentsno population cut81.0%
2019-20Hispanic studentsno population cutwithheld
2019-20White studentsno population cutwithheld
2019-20Students of two or more racesno population cutwithheld
2019-20Economically disadvantaged studentsno population cut77.4%
2019-20Not economically disadvantagedno population cut86.4%
2019-20Not English learnersno population cut80.0%
2019-20Students in special educationno population cut48.3%
2019-20Not in special educationno population cut100.0%
2019-20Female studentsno population cut90.0%
2019-20Male studentsno population cut73.3%
2020-21All studentsno population cut83.8%
2020-21Asian studentsno population cutwithheld
2020-21Black studentsno population cut85.9%
2020-21Hispanic studentsno population cutwithheld
2020-21Students of two or more racesno population cutwithheld
2020-21Economically disadvantaged studentsno population cut82.7%
2020-21Not economically disadvantagedno population cut86.7%
2020-21English learnersno population cutwithheld
2020-21Not English learnersno population cutwithheld
2020-21Students in special educationno population cut59.5%
2020-21Not in special educationno population cut98.5%
2020-21Female studentsno population cutwithheld
2020-21Male studentsno population cut80.3%
2020-21Non-binary studentsno population cutwithheld