Budget allocationText discrepancy
$570Knot to exceed

Approves up to $570,425 in Measure N funding for Aspire Lionel Wilson Prep in 2022-23

The Board adopts the Measure N Commission's recommendation to fund Aspire Lionel Wilson College Preparatory Academy for the 2022-23 school year, up to $570,425. Measure N pays for college and career readiness programs. The school is in its fifth year of probationary status under the program, with full implementation funding. The attached memo splits the amount into $218,450 ($850 for each of 257 pupils) plus $351,975 held in a probationary reserve fund.

Plain-English summary written by AI from the official text. Reviewed Oct 4, 2026

Discrepancy from the official text. The text gives $850.00 x 257 pupils, which equals $218,450, but states an amount not to exceed $570,425.00; the attached funding memo shows the $570,425.00 also includes $351,975.00 held in a probationary reserve fund. (Confirmed by a reviewer.)
Action
Other
Category
Budget, finance & payments
Term
Jul 1, 2022 – Jun 30, 2023
This vote
$570,425
Schools
Aspire Lionel Wilson Preparatory Academy
Presented by
Measure N - College and Career Readiness Commission
File
21-2888 · agenda V.-47
Outcome
Adopted on the General Consent Report, Feb 9, 2022

Official text

Adoption by Board of Education, upon recommendation of the Measure N Commission, of Probationary Status (Year 5) - Full Implementation ($850.00 x 257 pupils) - for Aspire Lionel Wilson Preparatory Academy, in an amount not to exceed $570,425.00, for 2022-2023 School Year.

History

  1. Discussed (Measure N - College and Career Readiness Commission)
  2. Adopted (Measure N - College and Career Readiness Commission)
  3. Adopted on the General Consent Report

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.

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