← All proof trees · HILL-FREEDMAN WORLD ACADEMY

PhiladelphiaOne number, traced

6-year cohort graduation rateHILL-FREEDMAN WORLD ACADEMY, 2018-19

The six-year cohort graduation rate (district file). This figure is for non-binary students.

Identifiers

school code 6460 · metric key graduation_rate_6yr · year 2018-19 · subgroup NON_BINARY · 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 6-year cohort graduation rate, by cohort entry year
    1. Read the district's graduation CSV and store the 6-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: 6-year cohort graduation rate

  3. 3
    The stored cellThe stored cell
    table
    philly_school_year_metrics
    value
    null
    denominator
    1
    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
    2018-19 — 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
2010-11All studentsno population cutwithheld
2010-11Black studentsno population cutwithheld
2010-11White studentsno population cutwithheld
2010-11Economically disadvantaged studentsno population cutwithheld
2010-11Not English learnersno population cutwithheld
2010-11Students in special educationno population cutwithheld
2010-11Female studentsno population cutwithheld
2010-11Male studentsno population cutwithheld
2011-12All studentsno population cutwithheld
2011-12Black studentsno population cutwithheld
2011-12Economically disadvantaged studentsno population cutwithheld
2011-12Not English learnersno population cutwithheld
2011-12Students in special educationno population cutwithheld
2011-12Male studentsno population cutwithheld
2012-13All studentsno population cutwithheld
2012-13Black studentsno population cutwithheld
2012-13White 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 cut76.9%
2013-14Asian studentsno population cutwithheld
2013-14Black studentsno population cut76.8%
2013-14Hispanic studentsno population cutwithheld
2013-14White studentsno population cutwithheld
2013-14Economically disadvantaged studentsno population cut75.0%
2013-14Not economically disadvantagedno population cut80.0%
2013-14English learnersno population cutwithheld
2013-14Not English learnersno population cutwithheld
2013-14Students in special educationno population cut62.9%
2013-14Not in special educationno population cut93.3%
2013-14Female studentsno population cut84.4%
2013-14Male studentsno population cut69.7%
2014-15All studentsno population cut79.6%
2014-15Asian studentsno population cutwithheld
2014-15Black studentsno population cut82.1%
2014-15Hispanic studentsno population cutwithheld
2014-15White studentsno population cutwithheld
2014-15Students of two or more racesno population cutwithheld
2014-15Economically disadvantaged studentsno population cut75.8%
2014-15Not economically disadvantagedno population cut86.5%
2014-15English learnersno population cutwithheld
2014-15Not English learnersno population cutwithheld
2014-15Students in special educationno population cut50.0%
2014-15Not in special educationno population cut98.4%
2014-15Female studentsno population cut95.9%
2014-15Male studentsno population cut64.8%
2015-16All studentsno population cut83.2%
2015-16Asian studentsno population cutwithheld
2015-16Black studentsno population cut85.0%
2015-16Hispanic studentsno population cutwithheld
2015-16White studentsno population cutwithheld
2015-16Students of two or more racesno population cutwithheld
2015-16Economically disadvantaged studentsno population cut81.8%
2015-16Not economically disadvantagedno population cut89.1%
2015-16English learnersno population cutwithheld
2015-16Not English learnersno population cutwithheld
2015-16Students in special educationno population cut65.4%
2015-16Not in special educationno population cut98.6%
2015-16Female studentsno population cut89.8%
2015-16Male studentsno population cut79.0%
2016-17All studentsno population cut87.1%
2016-17Asian studentsno population cutwithheld
2016-17Black studentsno population cut88.9%
2016-17Hispanic studentsno population cutwithheld
2016-17White studentsno population cutwithheld
2016-17Students of two or more racesno population cutwithheld
2016-17Economically disadvantaged studentsno population cut88.5%
2016-17Not economically disadvantagedno population cut84.4%
2016-17English learnersno population cutwithheld
2016-17Not English learnersno population cutwithheld
2016-17Students in special educationno population cut77.1%
2016-17Not in special educationno population cut93.1%
2016-17Female studentsno population cut96.3%
2016-17Male studentsno population cut83.3%
2017-18All studentsno population cut80.2%
2017-18Asian studentsno population cutwithheld
2017-18Black studentsno population cut85.7%
2017-18Hispanic studentsno population cutwithheld
2017-18White studentsno population cutwithheld
2017-18Students of two or more racesno population cutwithheld
2017-18Economically disadvantaged studentsno population cut75.6%
2017-18Not economically disadvantagedno population cut89.5%
2017-18English learnersno population cutwithheld
2017-18Not English learnersno population cutwithheld
2017-18Students in special educationno population cut53.1%
2017-18Not in special educationno population cut100.0%
2017-18Female studentsno population cut90.6%
2017-18Male studentsno population cut71.4%
2018-19All studentsno population cut78.2%
2018-19Asian studentsno population cutwithheld
2018-19Black studentsno population cut78.2%
2018-19Hispanic studentsno population cutwithheld
2018-19White studentsno population cutwithheld
2018-19Students of two or more racesno population cutwithheld
2018-19Economically disadvantaged studentsno population cut72.6%
2018-19Not economically disadvantagedno population cut96.5%
2018-19English learnersno population cutwithheld
2018-19Not English learnersno population cutwithheld
2018-19Students in special educationno population cut60.0%
2018-19Not in special educationno population cut98.3%
2018-19Female studentsno population cutwithheld
2018-19Male studentsno population cut70.0%
2018-19Non-binary studentsno population cutwithheld
2019-20All studentsno population cut83.9%
2019-20Asian studentsno population cutwithheld
2019-20Black studentsno population cut85.9%
2019-20Hispanic studentsno population cutwithheld
2019-20White studentsno population cutwithheld
2019-20Students of two or more racesno population cutwithheld
2019-20Economically disadvantaged studentsno population cut83.9%
2019-20Not economically disadvantagedno population cut84.0%
2019-20Not English learnersno population cut83.9%
2019-20Students in special educationno population cut65.8%
2019-20Not in special educationno population cut100.0%
2019-20Female studentsno population cut93.5%
2019-20Male studentsno population cut78.6%