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Washington Insurance Commissioner, Office of·Washington

Rate Factor Study

Closes 2/23/2026$400k – $650kRequest for ProposalLogin required
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Description

The Office of the Insurance Commissioner (OIC) is seeking proposals from vendors to conduct a study on rate factors used by insurers to determine personal insurance premiums, rates, and coverage. The study aims to analyze the impact of these rate factors on Washington residents, particularly in terms of disparate impacts on demographic characteristics such as race, ethnicity, sex, socioeconomic status, and national origin. The selected vendor will be responsible for collecting and analyzing data, identifying alternative rate factors, and developing policy options for legislative consideration. The project is expected to begin on March 16, 2026, and end on June 30, 2027, with the possibility of two one-year extensions. • The vendor will be responsible for project management, data collection, and analysis. • The vendor will identify and analyze rate factors, including credit history and credit-based insurance scoring models. • The vendor will develop policy options and recommendations for the legislature. • The vendor will produce a final report presenting the findings and recommendations.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Lesley Gordon(RFP Coordinator)

[email protected]

(360) 725-7024

Key dates

Opened
1/13/2026
Questions due
1/22/2026
Pre-bid meeting
2/9/2026
Closes
2/23/2026
Duration
16 months

Last updated

Details

Type
Request for Proposal
Industry
Insurance
NAICS
524292
Solicitation №
S2507

Budget estimate

$400,000 – $650,000

Based on the estimated initial contract value of $528,000, it is likely that the selected vendor will earn a similar amount for the completion of the project. However, this amount may vary depending on the vendor's proposed scope of work, methodology, and personnel costs. Factors that may influence the likely payment range include the complexity of the data analysis, the number of policy options developed, and the level of expertise required for the project.

AI estimate from the solicitation

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