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PropRaven Insurance
Underwriting-grade peril overlay: NRI, NFIP, NOAA, USGS, CDC. One join.
Carriers · Reinsurers · Cat modelers · MGAsRefreshed quarterly
High-wildfire cohort
71.9M
Description
PropRaven Insurance ships an underwriting-grade risk vector for every U.S. parcel — pre-joined to property attributes, ownership, and distress signals. It assembles every authoritative federal peril dataset (FEMA NRI, FEMA NFIP claim history, NOAA storm events, USGS seismic, CDC SVI, USFS wildfire) and exposes it on the canonical PropRaven parcel grain.
Replaces 3-4 vendor stacks with a single Snowflake share. Joinable to Parcel Intelligence and the Ontology Owner Graph for exposure aggregation across portfolios.
What's included
- 255.7M parcels with multi-peril risk vector
- 240M (94%) NRI-rated (hurricane / tornado / wildfire / earthquake / overall EAL)
- NFIP flood-claim history aggregated to tract
- NOAA Storm Events 30-year county history (count + property damage USD)
- FEMA Disaster Declaration counts by peril type
- USGS / ASCE7 seismic design parameters (SDC, Ss, S1, PGA)
- CDC Social Vulnerability Index (overall + 4 sub-themes)
- Composite climate risk label + tier
- Boolean
PARCEL_HIGH_PERIL_FLAGS rollup for fast cohort filtering
| Peril | Parcels |
|---|
| High wildfire risk | 71.9M |
| High seismic design category (D/E/F) | 35.1M |
| High earthquake risk | 31.5M |
| High hurricane risk | 20.1M |
| Inside FEMA SFHA flood zones | 3.4M |
Use cases
- Carrier underwriting: score every quote against pre-computed peril ratings before binding.
- Reinsurance cat modeling: aggregate exposure by peril × geography × construction era.
- MGA / surplus-lines targeting: find the 71.9M high-wildfire parcels with replacement cost > $X for product launches.
- InsurTech parametric: build trigger-based products on pre-resolved NRI + NOAA peril counts.
- Non-renewal modeling: layer
PARCEL_DISTRESS (financial-distress composite) for moral-hazard signal.
Sample query — high-peril owner exposure
SELECT
o.name_normalized AS owner,
COUNT(*) AS parcel_count,
SUM(IFF(f.high_peril_wildfire, 1, 0)) AS high_wildfire_parcels,
SUM(IFF(f.high_peril_earthquake, 1, 0)) AS high_eq_parcels,
SUM(IFF(f.in_sfha_flood_zone, 1, 0)) AS sfha_parcels
FROM PROPRAVEN_INSURANCE.INSURANCE.OWNER o
JOIN PROPRAVEN_INSURANCE.INSURANCE.EDGE_OWNER_PARCEL eop USING (prpv_owner_id)
JOIN PROPRAVEN_INSURANCE.INSURANCE.PARCEL_HIGH_PERIL_FLAGS f USING (prpv_parcel_id)
WHERE o.entity_type IN ('LLC', 'CORP', 'LP')
GROUP BY 1
HAVING parcel_count >= 50
ORDER BY high_wildfire_parcels DESC
LIMIT 25;
Refresh cadence
Refreshed quarterly. FEMA NRI publishes annually; NFIP claims and NOAA storm events refresh quarterly. Base parcel layer refreshes monthly. Per-row _LOADED_AT and _SOURCE_AS_OF columns expose the actual freshness for any row in your query result.
Try before you buy
Subscribe to PropRaven Preview for a free 10K-parcel Mecklenburg County NC sample with the same schema. Once you've validated your queries against the sample, subscribe to PROPRAVEN_INSURANCE for full national data.
Questions? hello@propraven.com — or browse the data dictionary and sample queries.