← All proof trees · VAUX BIG PICTURE HIGH SCHOOL

PhiladelphiaOne number, traced

6-year cohort graduation rateVAUX BIG PICTURE HIGH SCHOOL, 2019-20

The six-year cohort graduation rate (district file). This figure is for not economically disadvantaged.

Identifiers

school code 5180 · metric key graduation_rate_6yr · year 2019-20 · subgroup NOT_ECON_DISADV · 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
    13
    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
    2019-20 — 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
2016-17All studentsno population cutwithheld
2016-17Black studentsno population cutwithheld
2016-17Economically disadvantaged studentsno population cutwithheld
2016-17Not English learnersno population cutwithheld
2016-17Students in special educationno population cutwithheld
2016-17Not in special educationno population cutwithheld
2016-17Female studentsno population cutwithheld
2016-17Male studentsno population cutwithheld
2017-18All studentsno population cut92.1%
2017-18Black studentsno population cut91.7%
2017-18Hispanic studentsno population cutwithheld
2017-18Students of two or more racesno population cutwithheld
2017-18Economically disadvantaged studentsno population cutwithheld
2017-18Not economically disadvantagedno population cutwithheld
2017-18English learnersno population cutwithheld
2017-18Not English learnersno population cutwithheld
2017-18Students in special educationno population cut100.0%
2017-18Not in special educationno population cut89.6%
2017-18Female studentsno population cut90.0%
2017-18Male studentsno population cut93.4%
2018-19All studentsno population cut92.8%
2018-19Black studentsno population cut93.6%
2018-19Hispanic studentsno population cutwithheld
2018-19Students of two or more racesno population cutwithheld
2018-19Economically disadvantaged studentsno population cutwithheld
2018-19Not economically disadvantagedno population cutwithheld
2018-19English learnersno population cutwithheld
2018-19Not English learnersno population cutwithheld
2018-19Students in special educationno population cut100.0%
2018-19Not in special educationno population cut89.7%
2018-19Female studentsno population cut92.7%
2018-19Male studentsno population cut92.9%
2019-20All studentsno population cut86.8%
2019-20Black studentsno population cut86.2%
2019-20Hispanic studentsno population cutwithheld
2019-20Students of two or more racesno population cutwithheld
2019-20Economically disadvantaged studentsno population cutwithheld
2019-20Not economically disadvantagedno population cutwithheld
2019-20Not English learnersno population cut86.8%
2019-20Students in special educationno population cutwithheld
2019-20Not in special educationno population cutwithheld
2019-20Female studentsno population cut88.6%
2019-20Male studentsno population cut84.8%