Orange County Grand Jury • 2014-2015

Unfunded Retiree Healthcare Obligations- a Problem for Public Agencies?*

Published: June 19, 2015 24 pages Consolidated Report
View Original PDF

Findings 4 findings

F1
Aliso Viejo, Dana Point, Laguna Hills, and Villa Park were not in compliance with GASB Statement No. 45 regarding the authorization of a study to determine other post-employment benefit liabilities. Aliso Viejo, Dana Point, Laguna Hills, Laguna Woods, and Villa Park were not in compliance with the disclosure of post- employment benefits in the Notes Section of their Comprehensive Annual Financial Report for the FY2012-13
F2
Twenty one out of the 32 agencies that provided June 30, 2013, data to the Grand Jury had not put aside funds in an irrevocable trust to help pay for the accrued actuarial liability of retiree healthcare costs in the future. This is an imprudent level of contribution.
F3
Anaheim, Buena Park, County of Orange, Huntington Beach, Lake Forest, and Stanton were in compliance with the requirement to contribute a full 100% or more of their Annual Required Contribution in the FY 2012-13. The remaining 26 agencies were not in compliance.
F4
All agencies surveyed (except Anaheim) do not disclose retiree health benefits as part of employee compensation per GAAP standards. RECOMMENDATIONS In accordance with California Penal Code sections 933 and 933.05, the 2014- 2015 Grand Jury requires (or, as noted, requests) responses from each agency affected by the recommendations presented in this section. The responses are to be submitted to the Presiding Judge of the Superior Court. Based on its investigation titled "Unfunded Retiree Health Care Obligations-A Problem for Public Agencies?," the 2014-2015 Orange County Grand Jury makes the following four recommendations:

Recommendations 4

Agency Responses 25

Government agencies' official responses to this report's findings and recommendations. Click on a response to see the structured breakdown.

* This report's PDF did not contain easily extractable text and required Optical Character Recognition (OCR) for analysis. There may be minor errors in the extracted findings and recommendations due to OCR limitations with scanned documents.