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PhiladelphiaOne number, traced

Regular attendance rate (state)MOTIVATION HIGH SCHOOL, 2022-23

The state's 'Regular Attendance' indicator: the share of a school's students, among those enrolled 90 or more school days, who attended 90% or more of them (the column is named PercentPersistentAttendance in the 2021-22 and later workbooks). Published for every public school, including charters. The year shown is the year the students were in school: the state calls this a lagging indicator, so its 2024-25 workbook reports 2023-24 attendance. This figure is for economically disadvantaged students.

Identifiers

school code 1190 · metric key attendance_persistence_rate · year 2022-23 · subgroup ECON_DISADV · population cut n/a

  1. 1
    What you seeRegular attendance rate (state)

    80.7%

    the state's 'Regular Attendance' indicator: the share of a school's students, among those enrolled 90 or more school days, who attended 90% or more of them (the column is named PercentPersistentAttendance in the 2021-22 and later workbooks). Published for every public school, including charters. The year shown is the year the students were in school: the state calls this a lagging indicator, so its 2024-25 workbook reports 2023-24 attendance.

    vs. peers
    77th percentile
    vs. citywide
    91th percentile
    unit
    percent
    direction
    higher is better
  2. 2
    How it was computedvalue = the state's published PercentPersistentAttendance (2021-22+ workbooks) or 'Percent Regular Attendance' (2018-19, 2019-20, 2020-21 workbooks), as-is; served year = workbook year − 1
    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.
    4. For the 2018-19, 2019-20, and 2020-21 workbooks the older long-format files are read instead: one row per school × data element; the 'Percent Regular Attendance (<subgroup>)' elements are kept.
    5. Stored under the attendance year (workbook year − 1), per PDE's Future Ready glossary: 'a lagging indicator indicating data is from the year prior to the reporting year'.

    Citywide percentile, reconstructed right now

    Among 295 default-included schools with a value for this metric, year, and subgroup, this school has a higher value than 268. Midrank rule: (268 + 0/2) / (295 − 1) = 0.912.Stored: 0.912. ✓ 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 / selective / district schools; 13 of 13 peers have a value this year. This school is above 10 of them. Midrank: (10 + 0/2) / (14 − 1) = 0.769; stored 0.769. ✓ 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: Regular attendance rate (state)

  3. 3
    The stored cellThe stored cell
    table
    philly_school_year_metrics
    value
    80.7
    denominator
    null (not published)
    suppressed
    false
    citywide_percentile
    0.9116
    comparison_group_percentile
    0.7692
    source_load_id
    2fdcb9ea-d4af-4a48-a7cf-a8e6166696b3

    Evidence: data model overview

  4. 4
    The load that wrote itWritten on 2026-09-08 by futurereadypa_performance.ts
    source id
    futurereadypa_performance_2023-24
    SHA-256 of the file read
    89219f7a7ffbc6adc14f54e87f2872ab04ce12a9e0749c448cf54998e4930e90
    bytes
    4,861,549
    year covered
    2023-24
    year of this cell
    2022-23 — this file's attendance indicator is a lagging indicator (the state's glossary: data from the year prior to the reporting year), so the 2023-24 workbook's value is stored under 2022-23
    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, 2023-24

    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: every served cell re-read from the seven state workbooks under the aligned year and matched
    • flaggedCross-publisher vs the district's 90%+ figure for the same schools and the same attendance year: r ≥ 0.99 every year, stable offset, NOT interchangeable under the pre-committed splice threshold

    Evidence: Base case · Cross-publisher vs the district's 90%+ figure for the same schools and the same attendance year

  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).
    • 'Percent Regular Attendance' (older workbooks) and 'PercentPersistentAttendance' (newer workbooks) are the same indicator: PDE's glossary defines Regular Attendance with the 90-day enrollment and 90% attendance rules, and the aligned cross-publisher sweep shows the state's figure tracks the district's for the same schools in every year from 2020-21 on (r ≥ 0.99).
    • PDE's enrollment rule (students enrolled 90+ school days) differs from the district's (10+ days at the school). The state's figure runs a median ~0.8 to 1.7 points higher than the district's for the same schools in the same year; the eligibility difference is a plausible contributor but has not been measured, and local attendance coding (PDE lets each LEA decide how partial days count) is another candidate.
    • No student counts published, so no denominators are served.
    • Latest attendance year is 2023-24 (from the 2024-25 workbook); the district's own file runs a year later.
    • Before 2026-09-07 this metric was stored under the workbook year — one year too late — and the site wrongly said the 2019-20 workbook was never published. Both corrected after an external audit.

    Algorithms involved: Reading the state's wide-format datafile, Chronic absenteeism as 100 minus the 90%-attendance share, Citywide and peer-group percentiles, Peer groups: 40 nearest neighbors on demographics

The same metric for this school, every year and cut

YearSubgroupCutValue
2017-18All studentsno population cut90.5%
2017-18American Indian / Alaska Native studentsno population cutwithheld
2017-18Asian studentsno population cutwithheld
2017-18Native Hawaiian / Pacific Islander studentsno population cutwithheld
2017-18Black studentsno population cut91.1%
2017-18Hispanic studentsno population cutwithheld
2017-18White studentsno population cutwithheld
2017-18Students of two or more racesno population cutwithheld
2017-18Economically disadvantaged studentsno population cut90.2%
2017-18English learnersno population cut94.7%
2017-18Students in special educationno population cut80.7%
2018-19All studentsno population cut96.0%
2018-19American Indian / Alaska Native studentsno population cutwithheld
2018-19Asian studentsno population cutwithheld
2018-19Native Hawaiian / Pacific Islander studentsno population cutwithheld
2018-19Black studentsno population cut96.2%
2018-19Hispanic studentsno population cutwithheld
2018-19White studentsno population cutwithheld
2018-19Students of two or more racesno population cutwithheld
2018-19Economically disadvantaged studentsno population cut95.9%
2018-19English learnersno population cut97.6%
2018-19Students in special educationno population cut93.0%
2019-20All studentsno population cut96.4%
2019-20American Indian / Alaska Native studentsno population cutwithheld
2019-20Asian studentsno population cutwithheld
2019-20Native Hawaiian / Pacific Islander studentsno population cutwithheld
2019-20Black studentsno population cut96.1%
2019-20Hispanic studentsno population cutwithheld
2019-20White studentsno population cutwithheld
2019-20Students of two or more racesno population cutwithheld
2019-20Economically disadvantaged studentsno population cut96.0%
2019-20English learnersno population cut100.0%
2019-20Students in special educationno population cut95.1%
2020-21All studentsno population cut83.4%
2020-21American Indian / Alaska Native studentsno population cutwithheld
2020-21Asian studentsno population cutwithheld
2020-21Native Hawaiian / Pacific Islander studentsno population cutwithheld
2020-21Black studentsno population cut83.8%
2020-21Hispanic studentsno population cutwithheld
2020-21White studentsno population cutwithheld
2020-21Students of two or more racesno population cutwithheld
2020-21Economically disadvantaged studentsno population cut80.6%
2020-21English learnersno population cut90.0%
2020-21Students in special educationno population cut78.0%
2020-21Black, Hispanic, and multi-racial students combinedno population cut
2021-22All studentsno population cut78.6%
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 cut78.3%
2021-22Hispanic studentsno population cutwithheld
2021-22White studentsno population cutwithheld
2021-22Students of two or more racesno population cutwithheld
2021-22Economically disadvantaged studentsno population cut76.7%
2021-22English learnersno population cut79.1%
2021-22Students in special educationno population cut81.7%
2021-22Black, Hispanic, and multi-racial students combinedno population cut78.6%
2022-23All studentsno population cut81.7%
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 cut82.3%
2022-23Hispanic studentsno population cutwithheld
2022-23White studentsno population cutwithheld
2022-23Students of two or more racesno population cutwithheld
2022-23Economically disadvantaged studentsno population cut80.7%
2022-23English learnersno population cut93.8%
2022-23Students in special educationno population cut77.6%
2022-23Black, Hispanic, and multi-racial students combinedno population cut81.7%
2023-24All studentsno population cut70.8%
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 cut70.3%
2023-24Hispanic studentsno population cutwithheld
2023-24White studentsno population cutwithheld
2023-24Students of two or more racesno population cutwithheld
2023-24Economically disadvantaged studentsno population cut70.2%
2023-24English learnersno population cut92.3%
2023-24Students in special educationno population cut63.0%
2023-24Black, Hispanic, and multi-racial students combinedno population cut70.8%