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AB 2724 limits 'distressed areas' for catastrophe modeling to undermarketed ZIP Codes

Shifts the regulatory trigger for insurer catastrophe-model commitments to ZIP-level wildfire pockets, changing where and how insurers may rely on modeling in California.

The Brief

AB 2724 rewrites the regulatory definition of a “distressed area” used when insurers rely on catastrophe models for residential property commitments. Instead of a menu that can include whole counties, the bill confines the category to undermarketed ZIP Codes — discrete postal areas identified by the Insurance Commissioner as having concentrated FAIR Plan exposure within wildfire-prone territory.

For practitioners, the immediate significance is operational: the bill changes which geographic units insurers use to justify catastrophe-model-based commitments under Title 10, which in turn affects underwriting, pricing, reinsurance placement, and state oversight. The Commissioner must identify those ZIP Codes and the Department must adjust implementing regulations, so firms should expect new data inputs and a potentially changing list that feeds into actuarial workflows and compliance checks.

At a Glance

What It Does

The bill directs the Commissioner to treat only undermarketed ZIP Codes as distressed areas for purposes of insurer catastrophe-model commitments. It ties the ZIP-code designation to wildfire exposure (overlap with Cal Fire high/very high fire hazard severity zones) and to a concentrated share of FAIR Plan policies relative to the voluntary market, and it requires the department to update regulations to reflect the new framework.

Who It Affects

The change matters to the California FAIR Plan Association, admitted insurers that write qualifying residential property insurance, actuaries and pricing teams that use catastrophe models for commitments, reinsurers and brokers relying on model outputs, and homeowners located in ZIP Codes that intersect high wildfire hazard zones.

Why It Matters

By moving from county-level or broader distressed-area treatment to ZIP-level targeting, the bill concentrates regulatory attention and potential model exceptions on narrowly defined pockets of market failure. That refocuses compliance and analytical effort onto small-area policy counts and mapping — a materially different data and operational problem for insurers and regulators.

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What This Bill Actually Does

AB 2724 changes the unit of geography regulators look at when allowing insurers to use catastrophe models in commitments. The Legislature directs the Commissioner to identify “undermarketed ZIP Codes” — postal areas that sit, at least in part, inside Cal Fire’s high or very high fire hazard zones and that show an outsized presence of FAIR Plan coverage relative to locally available voluntary-market policies.

The upshot is that insurer reliance on catastrophe models will be governed by a ZIP-code list the Commissioner compiles, rather than broader county designations.

The statute leaves the Commissioner responsible for producing and maintaining the list; the Department of Insurance must also update its regulations to implement the new test. Practically, that means insurers will need to adjust internal processes to consume a published ZIP-code list and reconcile it with their exposure files and catastrophe-modeling geographies.

Actuaries and compliance teams will be asked to align policy-level counts and model territories to the Commissioner’s determinations.There is an important operational wrinkle in the bill’s text: the statutory trigger uses a 10 percent threshold tied to counts of residential policies (FAIR Plan and voluntary admitted market), but the wording is compact and will require the Commissioner to adopt a clear counting and timing convention — for example, whether the test is based on point-in-time policy counts, a rolling average, or a specific snapshot date. That interpretation will determine which ZIP Codes qualify and how stable the list is over time.Because the designation depends on an overlay with Cal Fire hazard maps, the ZIP-code list will track changes both in insurance-market composition and in hazard mapping.

The combined effect is a dynamic list that can move year to year; insurers should plan for operational and pricing volatility tied to those updates and for the department’s forthcoming regulatory changes.

The Five Things You Need to Know

1

AB 2724 adds Article 12.5 (starting with Section 979) to the California Insurance Code to govern catastrophe-model use in insurer commitments.

2

For the statute’s purposes, a ‘distressed area’ is limited to an ‘undermarketed ZIP Code’—county-level distressed-area designations are excluded.

3

An undermarketed ZIP Code must (1) at least partially overlap a Cal Fire high or very high fire hazard severity zone and (2) meet a 10% threshold where FAIR Plan policies represent at least 10 percent of the combined total of residential policies in the FAIR Plan and the voluntary admitted market.

4

The Insurance Commissioner must publish an initial bulletin listing the undermarketed ZIP Codes and update that list as conditions warrant, but no less frequently than once per year.

5

The Department of Insurance is required to review and revise any regulations necessary to implement the new ZIP-code based framework for catastrophe-model commitments.

Section-by-Section Breakdown

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Section 979(a)

Restricts 'distressed area' to ZIP-code units

Subsection (a) does one thing: it tells regulators that, for purposes of the catastrophe-modeling rule referenced in Title 10 §2644.4.8, a distressed area is now only an undermarketed ZIP Code. The practical consequence is legal boundary-setting: any prior regulatory or administrative practice that treated counties or other larger geographies as distressed for this purpose must be replaced or reconciled with a ZIP-level approach.

Section 979(b)

Defines 'undermarketed ZIP Code' by fire exposure and FAIR Plan concentration

This is the operative test. A ZIP Code qualifies if it (1) overlaps, even partially, with Cal Fire’s high or very high fire hazard zones, and (2) clears a market-concentration threshold tied to FAIR Plan presence relative to the voluntary admitted residential market. The subsection packages a geographic hazard overlay and a market-share test; regulators will need to develop precise counting rules and a data pipeline to produce reliable ZIP-level counts of FAIR Plan and admitted-market policies.

Section 979(c)

Requires published list of undermarketed ZIP Codes with updates

The Commissioner must issue an initial bulletin listing the ZIP Codes that meet the statutory test and then update that list by subsequent bulletins as needed, but at least annually. That bulletin becomes the operational source-of-truth insurers will use to determine whether a policy or exposure sits inside a distressed area for catastrophe-modeling commitments.

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Section 979(d)

Mandates regulatory cleanup and implementation by the Department

The Department of Insurance must review existing regulations and revise them to make practice conform to the new statutory standard. That implicates Title 10 regulations referenced in the bill, compliance forms, model instructions, and possibly FAIR Plan data-reporting requirements.

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Who Benefits and Who Bears the Cost

Every bill creates winners and losers. Here's who stands to gain and who bears the cost.

Who Benefits

  • Insurers with diversified voluntary-market portfolios: Firms with relatively few FAIR Plan policies in a ZIP Code benefit because the ZIP-level test concentrates exceptions in places with concentrated FAIR Plan exposure, reducing the chance that county-level distressed designations will sweep in larger, healthier markets.
  • Actuaries and model vendors: A public, Commissioner-maintained ZIP-code list gives a discrete input that modelers can bind into workflows, improving repeatability compared with ad hoc or county-scale judgments.
  • Regulators seeking precision: The Department and Commissioner gain a clearer, reproducible criterion for targeting supervisory attention and for justifying model-based commitments in narrowly defined pockets of market failure.

Who Bears the Cost

  • FAIR Plan and its assessment pool: By focusing relief in ZIP Codes where FAIR Plan concentration is high, the plan may face persistent concentration risk in those ZIP Codes, potentially increasing assessment pressure on participating insurers over time.
  • Admitted insurers operating in high-fire ZIP Codes: Carriers must add ZIP-level exposure reconciliation to their compliance and actuarial workflows, invest in geocoding and mapping, and respond to a list that can change annually, creating operational and pricing volatility.
  • Department of Insurance: The department must rework regulations, publish and maintain the ZIP-code list, and resolve counting and timing conventions—an unfunded administrative burden unless resourced separately.

Key Issues

The Core Tension

The bill trades geographic precision for potential instability: targeting ZIP Codes focuses relief where FAIR Plan concentration is highest, but the narrow test relies on mapping and short-term market counts that can move annually, creating operational volatility and leaving nearby at-risk communities without the same regulatory treatment.

The statute is compact but leaves important implementation choices to the Commissioner and the Department. The 10 percent market-concentration threshold is a blunt yardstick: it produces a binary result out of what is in practice a continuous distribution of market share.

How the Commissioner measures that share — whether by policy counts, insured-value weights, a rolling average, or a single snapshot — will materially change which ZIP Codes qualify. Data quality is another problem: FAIR Plan and admitted-market filings vary in timeliness and address accuracy, and ZIP Codes do not align neatly with parcel- or census-based risk metrics used in catastrophe models.

The reliance on Cal Fire high/very high fire hazard maps pins the test to a moving baseline. Updates to hazard mapping or to postal boundaries can flip a ZIP Code in or out of qualification even where insurer behavior has been stable.

Finally, concentrating the 'distressed area' construct on ZIP Codes tightens focus but raises fairness questions: neighboring communities in the same county with similar exposure may be treated very differently based solely on postal boundaries and short-term policy counts. That can create perverse incentives for insurers and policyholders and may complicate reinsurance aggregation and rate filings.

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