Authorizes up to $73,240,000 for nonpublic special education school and agency contracts in 2025-26

This resolution sets the limit for master agreements and individual service agreements with nonpublic, nonsectarian schools and agencies that serve students in special education during the 2025-26 school year. The combined limit is $73,240,000: $9,900,000 for nonpublic schools and $63,340,000 for nonpublic agencies.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Pulled from the consent vote. Taken off the consent vote, then approved on a later consent report on June 25.

Jun 11, 2025 · Withdrawn. Withdrawn.

Jun 25, 2025 · Adopted on the General Consent Report (passed). A motion was made by Director Thompson, seconded by Director Latta, to Approve the General Consent Report. The motion carried by the following vote.

Action: New agreement
Category: Special education
Sub-category: Nonpublic schools & agencies
Term: Jul 1, 2025 – Jun 30, 2026
This vote: $73,240,000
Resource / site: 6500-975
Presented by: Chief Academic Officer
File: 25-1250 · agenda L.-12
Outcome: Adopted on the General Consent Report, Jun 25, 2025

Official text

Adoption by the Board of Education of Resolution Number 2425-0234 - Master Agreements or Contracts and Individual Service Agreements with Nonpublic, Nonsectarian School/Agency Services for Students of Special Education Program - School Year 2025-2026 in a cumulative amount not to exceed $73,240,000.00. __________ Attachment “A” - Nonpublic Schools - $9,900,000.00 Attachment “B” - Nonpublic Agencies - $63,340,000.00

History

Jun 11, 2025 Withdrawn
Jun 25, 2025 Adopted on the General Consent Report

Also on the agenda: Jun 25, 2025

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.