← All proof trees

1. 1
   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'.

   Algorithms applied downstream: 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

2. 2
   The load that wrote it7 data loads wrote this metric

   Loaded	Source file	Years	Cells	Suppressed	File hash	Commit
   2026-09-08	futurereadypa_performance_2024-25	2023-24	3,576	1,357	a16ffc40e7d1…	c19ea6ec
   2026-09-08	futurereadypa_performance_2023-24	2022-23	3,576	1,382	89219f7a7ffb…	c19ea6ec
   2026-09-08	futurereadypa_performance_2022-23	2021-22	3,564	1,399	81fdf381405c…	c19ea6ec
   2026-09-08	futurereadypa_performance_2021-22	2020-21	3,528	1,360	4efe1b1b120f…	c19ea6ec
   2026-09-08	futurereadypa_performance_2020-21	2019-20	3,234	1,366	fa8e4c859bc7…	c19ea6ec
   2026-09-08	futurereadypa_performance_2019-20	2018-19	3,234	1,345	5fc4cdacd70c…	c19ea6ec
   2026-09-08	futurereadypa_performance_2018-19	2017-18	3,212	1,339	e338ebd19851…	c19ea6ec

   The hash identifies the exact file version read; the commit identifies the exact code. Both are recorded at load time.

   Evidence: futurereadypa_performance.ts · futurereadypa_longformat_attendance.ts

3. 3
   The publisher's file7 publisher files

   Future Ready PA Index datafile, 2024-25 — Pennsylvania Department of Education (Future Ready PA Index). The state's school-level accountability indicators for every public school in Pennsylvania — test proficiency, growth (PVAAS), persistent attendance, graduation — by subgroup.

   format

   XLSX (wide: one column per measure × subgroup)

   join key

   AUN + Schl (state IDs), mapped to ULCS via the Master School List

   landing page

   https://futurereadypa.org/Home/DataFiles

   • The chronic-absenteeism column exists in the file but is empty for individual Philadelphia schools; the state reports persistent attendance instead.
   • Publishes no student counts for the attendance measure.
   • Its 90%-attendance figure does not match the district's for the same schools (see the cross-publisher check).

   Future 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

   landing page

   https://futurereadypa.org/Home/DataFiles

   • Same as 2024-25.

   Future Ready PA Index datafile, 2022-23 — Pennsylvania Department of Education (Future Ready PA Index). Same structure as the 2024-25 file.

   format

   XLSX (wide)

   join key

   AUN + Schl → ULCS

   landing page

   https://futurereadypa.org/Home/DataFiles

   • Same as 2024-25.

   Future Ready PA Index datafile, 2021-22 — Pennsylvania Department of Education (Future Ready PA Index). Same structure as the 2024-25 file.

   format

   XLSX (wide)

   join key

   AUN + Schl → ULCS

   landing page

   https://futurereadypa.org/Home/DataFiles

   • Same as 2024-25.

   Future Ready PA Index datafile, 2020-21 (older long format) — Pennsylvania Department of Education (Future Ready PA Index). Older-format state datafile; only the attendance element is loaded.

   format

   XLSX (long: one row per school × data element)

   join key

   AUN + Schl → ULCS

   landing page

   https://futurereadypa.org/Home/DataFiles

   • Indicator named 'Percent Regular Attendance' — loaded as the same measure as the later 'Persistent Attendance' (documented assumption).
   • COVID-disrupted year; shown but excluded from trends.

   futurereadypa_performance_2019-20

   Future Ready PA Index datafile, 2018-19 (older long format) — Pennsylvania Department of Education (Future Ready PA Index). Older-format state datafile; only the attendance element is loaded. The pre-pandemic anchor for the state's attendance measure.

   format

   XLSX (long)

   join key

   AUN + Schl → ULCS

   landing page

   https://futurereadypa.org/Home/DataFiles

   • Indicator named 'Percent Regular Attendance' — same 90%+ definition (documented assumption).

   Evidence: source registry (sources.yaml) · futurereadypa_performance_2024-25: first-fetch findings · futurereadypa_performance_2023-24: first-fetch findings · futurereadypa_performance_2022-23: first-fetch findings · futurereadypa_performance_2021-22: first-fetch findings · futurereadypa_performance_2020-21: first-fetch findings · futurereadypa_performance_2019-20: first-fetch findings · futurereadypa_performance_2018-19: first-fetch findings

4. 4
   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

5. 5
   Assumptions & caveatsAssumptions and caveats

   Assumptions

   • 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.

   Caveats

   • 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.

To see the tree for one school’s number, click any dotted-underlined figure on a school, Outliers, or Movers page.