phidea

Flood risk scoring for US property insurance: data view (April 2026)

Structured data view of the US flood-risk scoring vendor landscape. Category has been reshaped by the National Flood Insurance Program's Risk Rating 2.0 (in effect 2021) and by private-market flood expansion. The four vendors below serve different points along the private-vs-NFIP and modelling-vs-underwriting axis.

Bottom line

First Street Foundation publishes the most-cited property-level flood scores in US media and regulatory discourse.

KatRisk provides institutional flood cat modelling used by reinsurers.

CoreLogic and Verisk AIR pair flood scoring with their full multi-peril stacks.

Moody's RMS released updated flood models post-Cape Analytics acquisition.

Which to pick

ScenarioRecommended
Carrier underwriting at property-levelKatRisk or Moody's RMS flood
Reinsurance placement with flood perilKatRisk or Verisk AIR
Consumer-facing / marketing / advocacyFirst Street Foundation
Already on Moody's RMS + property attributesMoody's RMS flood (Cape-integrated)
Multi-peril including flood on one contractCoreLogic

Ranking criteria

  • Property-level pixel / parcel granularity
  • Climate-conditioned scenarios (1-in-100, 500-year, RCP-forward)
  • Use case (rate-filing, underwriting, reinsurance, consumer)
  • NFIP Risk Rating 2.0 alignment
  • Integration with property-attribute platforms
#1

first-street-foundation

Most-cited property-level flood score in US media and regulatory discourse. Public data layer; licensed commercially.

See metrics and sources tables below.

#2

katrisk

Institutional flood cat modelling; used by reinsurers and quant-heavy carriers.

See metrics and sources tables below.

#3

rms

Moody's RMS flood model, paired with Cape Analytics property attributes post-Jan 2025.

See metrics and sources tables below.

Graph facts

Relationship statistics computed across the Phidea entity graph (tools, carriers, owners, integrations). These facts require cross-referencing multiple primary sources; they are not retrievable from any single vendor press release or analyst report.

  • Category split by use case

    Consumer / advocacy (First Street) vs institutional (KatRisk, RMS, AIR) vs integrated-multi-peril (CoreLogic). The four serve different stakeholders, not competing for the same contract slot.

  • NFIP Risk Rating 2.0 context

    FEMA's 2021 Risk Rating 2.0 rollout changed the US flood landscape, pushing private-market flood growth and cat-model adoption at US carriers. All four vendors have products aligned to the post-2021 environment.

  • Moody's consolidation signal

    Moody's 2021 RMS acquisition + Jan 2025 Cape Analytics acquisition puts flood modelling and property attributes under one roof at the cat-model incumbent.

Navigate the graph

Feature comparison

Capability flags on publicly disclosed evidence.

Featurefirst-street-foundationkatriskrmsCoreLogic
Property / parcel-level granularity
Yes
Yes
Yes
Yes
Standard return periods (100y, 500y)
Yes
Yes
Yes
Yes
Climate-conditioned forward scenarios
Yes
Yes
Partial
Partial
NFIP Risk Rating 2.0 alignment
Partial
Used in reinsurance placement
Partial
Yes
Widely used among reinsurers
Yes
Category-standard
Partial
Used in US carrier rate filings
Partial
Increasingly referenced in US rate-filing discourse
Yes
Yes
Yes

Publicly disclosed metrics

Quantitative facts sourced to primary URLs. Every row links to the document that first disclosed the number.

VendorMetricValueSource
first-street-foundation
US properties scored
Published coverage of US single-family-home property universe
~142Mprimary source
accessed 2026-04-23
rms
Parent ownership
RMS acquired by Moody's in 2021; Cape Analytics added Jan 2025
Moody's Corporationprimary source
accessed 2026-04-23
katrisk
Model usage
Used across US and international reinsurance placement
Reinsurers + quant carriersprimary source
accessed 2026-04-23

Also considered

  • air-worldwide

    Verisk AIR flood model; widely used as counter-validation to RMS for reinsurance.

  • CoreLogic

    Full multi-peril stack including flood. Convenient when carrier is already CoreLogic-integrated.

  • jupiter-intelligence

    Climate-conditioned scenarios including flood; less widely adopted as a primary flood model but strong for forward-scenario use cases.

Sources

Last reviewed 2026-04-23. Vendor-sourced aggregate claims are flagged [self-reported]in the justification text. Ranking refreshes when a vendor’s fiche is revised or when a new material event (acquisition, analyst report, major deployment) changes the order.