Grant applicationText discrepancyMulti-year
+$15.5Mcoming in

Approves applying for a $15.5 million CAL FIRE Green Schoolyard grant to fund schoolyard greening

The Board approves two resolutions so the district can apply to the California Department of Forestry and Fire Protection's Urban and Community Forestry Grant Program for Green Schoolyard funding at named sites. The district is asking for $15,500,000 across a planning grant and an implementation grant, for the period July 1, 2023 to March 31, 2026. The official text misprints the amount as $15,5000,000; the attached memo gives $15,500,000.

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

Discrepancy from the official text. The grant amount is printed as "$15,5000,000", with nine digits and a misplaced comma; the attached board memo and grant face sheet give $15,500,000. (Confirmed by a reviewer.)

Notes on the official text

  • An amount in the official text appears misprinted; two independent readings agree on $15,500,000.
Action
Grant or funding in
Category
School buildings & construction
Term
Jul 1, 2023 – Mar 31, 2026
This vote
$15,500,000
Presented by
Chief Systems and Services Officer
File
23-1216 · agenda T.-2
Outcome
Adopted on the General Consent Report, May 24, 2023

Official text

Approval by the Board of Education of Resolution Nos. 2223-0081 and 2223-0082 - For Funding From the Urban and Community Forestry Grant Program of the California Department of Forestry and Fire Protection, seeking $15,5000,000 in CAL FIRE Green Schoolyard Grant funding, for named sites, as described in the Application, incorporated herein by reference as though fully set forth, for the period of July 1, 2023 to March 31, 2026.

History

  1. 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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